2025-12-04T08:14:39.8852930Z Current runner version: '2.330.0' 2025-12-04T08:14:39.8862141Z Runner name: 'i-04926a0630d4b7a07' 2025-12-04T08:14:39.8863565Z Runner group name: 'default' 2025-12-04T08:14:39.8864888Z Machine name: 'ip-10-0-56-255' 2025-12-04T08:14:39.8869794Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T08:14:39.8873087Z Contents: read 2025-12-04T08:14:39.8874013Z Metadata: read 2025-12-04T08:14:39.8874812Z ##[endgroup] 2025-12-04T08:14:39.8878104Z Secret source: Actions 2025-12-04T08:14:39.8879395Z Prepare workflow directory 2025-12-04T08:14:39.9500867Z Prepare all required actions 2025-12-04T08:14:39.9541135Z Getting action download info 2025-12-04T08:14:40.2615335Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T08:14:42.4849149Z Download action repository 'pytorch/pytorch@main' (SHA:ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:14:56.7598832Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T08:14:57.0970195Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T08:14:57.3293232Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T08:14:57.5104789Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:14:57.7654761Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T08:14:58.0472666Z Getting action download info 2025-12-04T08:14:58.1575111Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T08:14:58.4429854Z Getting action download info 2025-12-04T08:14:58.5646459Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T08:14:58.7910233Z Getting action download info 2025-12-04T08:14:58.9218087Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T08:14:59.2599897Z Getting action download info 2025-12-04T08:14:59.4120061Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:14:59.4124245Z ##[group] Inputs 2025-12-04T08:14:59.4124596Z build-environment: linux-jammy-py3.10-clang12 2025-12-04T08:14:59.4127899Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]} 2025-12-04T08:14:59.4131602Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:14:59.4132417Z sync-tag: 2025-12-04T08:14:59.4133235Z timeout-minutes: 240 2025-12-04T08:14:59.4133486Z use-gha: 2025-12-04T08:14:59.4133966Z dashboard-tag: 2025-12-04T08:14:59.4134332Z s3-bucket: gha-artifacts 2025-12-04T08:14:59.4134598Z aws-role-to-assume: 2025-12-04T08:14:59.4135220Z disable-monitor: false 2025-12-04T08:14:59.4135556Z monitor-log-interval: 5 2025-12-04T08:14:59.4135874Z monitor-data-collect-interval: 1 2025-12-04T08:14:59.4136185Z ##[endgroup] 2025-12-04T08:14:59.4136632Z Complete job name: linux-jammy-py3.10-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge) 2025-12-04T08:14:59.4620163Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T08:14:59.4723902Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T08:14:59.4733303Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:14:59.4733970Z ##[endgroup] 2025-12-04T08:15:00.9068473Z Runner Type: linux.2xlarge 2025-12-04T08:15:00.9068925Z Instance Type: c5.2xlarge 2025-12-04T08:15:00.9069298Z AMI Name: unknown 2025-12-04T08:15:00.9098566Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T08:15:06.4201575Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T08:15:06.4202072Z with: 2025-12-04T08:15:06.4202648Z github-secret: *** 2025-12-04T08:15:06.4203400Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T08:15:06.4204215Z activate-with-label: false 2025-12-04T08:15:06.4204506Z label: with-ssh 2025-12-04T08:15:06.4204744Z remove-existing-keys: true 2025-12-04T08:15:06.4205031Z fail-silently: true 2025-12-04T08:15:06.4205306Z env: 2025-12-04T08:15:06.4205509Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:06.4205792Z ##[endgroup] 2025-12-04T08:15:06.5728673Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T08:15:06.5729905Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T08:15:06.6138044Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T08:15:06.6138869Z with: 2025-12-04T08:15:06.6139240Z no-sudo: true 2025-12-04T08:15:06.6139641Z submodules: recursive 2025-12-04T08:15:06.6140105Z fetch-depth: 0 2025-12-04T08:15:06.6140507Z env: 2025-12-04T08:15:06.6140871Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:06.6141343Z ##[endgroup] 2025-12-04T08:15:06.6228343Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:15:06.6229441Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:15:06.6238719Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:15:06.6239117Z env: 2025-12-04T08:15:06.6239346Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:06.6239649Z ##[endgroup] 2025-12-04T08:15:06.6322456Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T08:15:06.6322904Z # Use all available CPUs for fetching 2025-12-04T08:15:06.6323297Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:15:06.6323637Z git config --global fetch.parallel 0 2025-12-04T08:15:06.6324040Z git config --global submodule.fetchJobs 0 2025-12-04T08:15:06.6324393Z  2025-12-04T08:15:06.6324749Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T08:15:06.6325227Z # do it here as well just in case 2025-12-04T08:15:06.6325546Z if [[ -d .git ]]; then 2025-12-04T08:15:06.6325838Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:15:06.6326147Z  sudo git clean -ffdx 2025-12-04T08:15:06.6326428Z  else 2025-12-04T08:15:06.6326673Z  git clean -ffdx 2025-12-04T08:15:06.6326927Z  fi 2025-12-04T08:15:06.6327146Z fi 2025-12-04T08:15:06.6332729Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:15:06.6333121Z env: 2025-12-04T08:15:06.6333400Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:06.6333877Z NO_SUDO: true 2025-12-04T08:15:06.6334111Z ##[endgroup] 2025-12-04T08:15:06.6451513Z ##[group]Run actions/checkout@v4 2025-12-04T08:15:06.6451820Z with: 2025-12-04T08:15:06.6452075Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:15:06.6452406Z fetch-depth: 0 2025-12-04T08:15:06.6452646Z submodules: recursive 2025-12-04T08:15:06.6452902Z show-progress: false 2025-12-04T08:15:06.6453162Z repository: pytorch/pytorch 2025-12-04T08:15:06.6453595Z token: *** 2025-12-04T08:15:06.6453821Z ssh-strict: true 2025-12-04T08:15:06.6454066Z ssh-user: git 2025-12-04T08:15:06.6454302Z persist-credentials: true 2025-12-04T08:15:06.6454580Z clean: true 2025-12-04T08:15:06.6454835Z sparse-checkout-cone-mode: true 2025-12-04T08:15:06.6455128Z fetch-tags: false 2025-12-04T08:15:06.6455361Z lfs: false 2025-12-04T08:15:06.6455595Z set-safe-directory: true 2025-12-04T08:15:06.6455858Z env: 2025-12-04T08:15:06.6456072Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:15:06.6456346Z ##[endgroup] 2025-12-04T08:15:06.7578598Z Syncing repository: pytorch/pytorch 2025-12-04T08:15:06.7580010Z ##[group]Getting Git version info 2025-12-04T08:15:06.7580521Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:15:06.7581217Z [command]/usr/bin/git version 2025-12-04T08:15:07.0526820Z git version 2.50.1 2025-12-04T08:15:07.0552992Z ##[endgroup] 2025-12-04T08:15:07.0562780Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/ea976c5a-53ea-4781-a8d0-6e9fae0e9701/.gitconfig' 2025-12-04T08:15:07.0576948Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/ea976c5a-53ea-4781-a8d0-6e9fae0e9701' before making global git config changes 2025-12-04T08:15:07.0577949Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T08:15:07.0582066Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:15:07.0630215Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:15:07.0633304Z ##[group]Initializing the repository 2025-12-04T08:15:07.0637367Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:15:07.1184345Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T08:15:07.1185045Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T08:15:07.1185640Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T08:15:07.1186059Z hint: 2025-12-04T08:15:07.1186375Z hint: git config --global init.defaultBranch 2025-12-04T08:15:07.1186734Z hint: 2025-12-04T08:15:07.1187058Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T08:15:07.1187677Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T08:15:07.1188126Z hint: 2025-12-04T08:15:07.1188330Z hint: git branch -m 2025-12-04T08:15:07.1188628Z hint: 2025-12-04T08:15:07.1189085Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T08:15:07.1193245Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T08:15:07.1204376Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T08:15:07.1244755Z ##[endgroup] 2025-12-04T08:15:07.1245209Z ##[group]Disabling automatic garbage collection 2025-12-04T08:15:07.1249135Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T08:15:07.1274628Z ##[endgroup] 2025-12-04T08:15:07.1275030Z ##[group]Setting up auth 2025-12-04T08:15:07.1281508Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T08:15:07.1308033Z [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' || :" 2025-12-04T08:15:07.1605618Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T08:15:07.1630724Z [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' || :" 2025-12-04T08:15:07.1954690Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T08:15:07.1984958Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T08:15:07.2253323Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:15:07.2298705Z ##[endgroup] 2025-12-04T08:15:07.2299136Z ##[group]Fetching the repository 2025-12-04T08:15:07.2306840Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T08:16:04.8408047Z From https://github.com/pytorch/pytorch 2025-12-04T08:16:04.8408946Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T08:16:04.8410008Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T08:16:04.8411053Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T08:16:04.8412260Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T08:16:04.8413399Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T08:16:04.8414476Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T08:16:04.8416339Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T08:16:04.8419352Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T08:16:04.8420525Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T08:16:04.8422933Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T08:16:04.8424143Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T08:16:04.8425819Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T08:16:04.8427599Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T08:16:04.8429816Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T08:16:04.8430926Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T08:16:04.8432729Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T08:16:04.8434581Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T08:16:04.8436551Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T08:16:04.8438075Z * [new branch] adi/test -> origin/adi/test 2025-12-04T08:16:04.8439614Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T08:16:04.8441127Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T08:16:04.8442628Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T08:16:04.8444151Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T08:16:04.8445640Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T08:16:04.8447104Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T08:16:04.8448883Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T08:16:04.8451356Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T08:16:04.8452955Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T08:16:04.8456959Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T08:16:04.8457858Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T08:16:04.8458788Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T08:16:04.8460211Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T08:16:04.8461701Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T08:16:04.8463649Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T08:16:04.8465014Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T08:16:04.8466732Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T08:16:04.8468332Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T08:16:04.8470972Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T08:16:04.8472885Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T08:16:04.8474684Z * [new branch] angelayi/side_eff -> origin/angelayi/side_eff 2025-12-04T08:16:04.8476485Z * [new branch] angelayi/state_dict -> origin/angelayi/state_dict 2025-12-04T08:16:04.8478326Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-12-04T08:16:04.8480234Z * [new branch] angelayi/symm_mem -> origin/angelayi/symm_mem 2025-12-04T08:16:04.8481866Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-12-04T08:16:04.8483641Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-12-04T08:16:04.8485350Z * [new branch] annotate_assert -> origin/annotate_assert 2025-12-04T08:16:04.8487202Z * [new branch] annotate_fallback_kernel -> origin/annotate_fallback_kernel 2025-12-04T08:16:04.8488842Z * [new branch] annotation_deepcopy -> origin/annotation_deepcopy 2025-12-04T08:16:04.8490729Z * [new branch] annotation_dynamo -> origin/annotation_dynamo 2025-12-04T08:16:04.8492572Z * [new branch] aot_eager_stack_trace -> origin/aot_eager_stack_trace 2025-12-04T08:16:04.8494211Z * [new 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zhxchen17/export/disable_side_effect_warn -> origin/zhxchen17/export/disable_side_effect_warn 2025-12-04T08:16:05.4840700Z * [new branch] zhxchen17/export/pytree_check -> origin/zhxchen17/export/pytree_check 2025-12-04T08:16:05.4842197Z * [new branch] zhxchen17/precompile/aoti -> origin/zhxchen17/precompile/aoti 2025-12-04T08:16:05.4843396Z * [new branch] zhxchen17/precompile/globals -> origin/zhxchen17/precompile/globals 2025-12-04T08:16:05.4844528Z * [new branch] zhxchen17/precompile/inductor_guards -> origin/zhxchen17/precompile/inductor_guards 2025-12-04T08:16:05.4845795Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-12-04T08:16:05.4847040Z * [new branch] zhxchen17/torch_export_api_update -> origin/zhxchen17/torch_export_api_update 2025-12-04T08:16:05.4848660Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-12-04T08:16:05.4850103Z * [new branch] zxiiro/build-times -> origin/zxiiro/build-times 2025-12-04T08:16:05.4851209Z * [new branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T08:16:05.4852412Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T08:16:05.4853460Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T08:16:05.4854584Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T08:16:05.4856143Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T08:16:05.4857760Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T08:16:05.4858792Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T08:16:05.4859600Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T08:16:05.4860341Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T08:16:05.4861041Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T08:16:05.4861751Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T08:16:05.4862726Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T08:16:05.4863293Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T08:16:05.4864289Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T08:16:05.4865019Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T08:16:05.4865760Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T08:16:05.4866771Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T08:16:05.4867444Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T08:16:05.4868664Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T08:16:05.4869920Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T08:16:05.4870885Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T08:16:05.4871546Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T08:16:05.4872269Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T08:16:05.4873294Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T08:16:05.4873968Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T08:16:05.4875149Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T08:16:05.4875936Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T08:16:05.4876752Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T08:16:05.4877563Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T08:16:05.4878260Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T08:16:05.4879049Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T08:16:05.4879988Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T08:16:05.4880629Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T08:16:05.4881783Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T08:16:05.4882423Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T08:16:05.4883484Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T08:16:05.4884178Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T08:16:05.4885445Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T08:16:05.4886108Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T08:16:05.4887183Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T08:16:05.4887738Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T08:16:05.4888491Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T08:16:05.4889202Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T08:16:05.4890138Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T08:16:05.4890851Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T08:16:05.4894587Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T08:16:05.4895166Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T08:16:05.4895892Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T08:16:05.4896935Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T08:16:05.4897619Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T08:16:05.4898469Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T08:16:05.4899406Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T08:16:05.4901263Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T08:16:05.4903197Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T08:16:05.4904289Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T08:16:05.4905382Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T08:16:05.4906922Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T08:16:05.4908507Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T08:16:05.4910009Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T08:16:05.4911250Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T08:16:05.4912633Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T08:16:05.4913899Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T08:16:05.4915043Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T08:16:05.4916203Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T08:16:05.4917650Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T08:16:05.4919426Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T08:16:05.4920844Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T08:16:05.4922042Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T08:16:05.4923615Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T08:16:05.4925577Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T08:16:05.4926691Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T08:16:05.4928175Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T08:16:05.4929630Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T08:16:05.4930932Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T08:16:05.4932452Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T08:16:05.4933516Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T08:16:05.4934999Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T08:16:05.4936663Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T08:16:05.4938171Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T08:16:05.4939331Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T08:16:05.4940852Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T08:16:05.4941993Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T08:16:05.4943572Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T08:16:05.4944945Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T08:16:05.4946186Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T08:16:05.4947377Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T08:16:05.4949679Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T08:16:05.4950773Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T08:16:05.4952343Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T08:16:05.4953645Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T08:16:05.4954718Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T08:16:05.4955966Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T08:16:05.4957372Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T08:16:05.4958472Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T08:16:05.4959734Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T08:16:05.4960801Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T08:16:05.4962106Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-12-04T08:16:05.4963178Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T08:16:05.4964416Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T08:16:05.4965516Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T08:16:05.4967154Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T08:16:05.4968727Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T08:16:05.4970162Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T08:16:05.4971420Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T08:16:05.4972548Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T08:16:05.4973885Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T08:16:05.4974933Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T08:16:05.4976255Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T08:16:05.4977355Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T08:16:05.4979508Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T08:16:05.4980188Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T08:16:05.4981562Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T08:16:05.4982908Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T08:16:05.4984462Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T08:16:05.4985754Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T08:16:05.4987044Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T08:16:05.4988294Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T08:16:05.4989637Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T08:16:05.4991089Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T08:16:05.4992331Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T08:16:05.4994042Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T08:16:05.4995239Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T08:16:05.4996492Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T08:16:05.4997761Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T08:16:05.4998987Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T08:16:05.5000585Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T08:16:05.5001848Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T08:16:05.5003152Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T08:16:05.5004535Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T08:16:05.5005791Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T08:16:05.5007580Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T08:16:05.5009098Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T08:16:05.5010347Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T08:16:05.5011627Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T08:16:05.5012920Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T08:16:05.5014173Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T08:16:05.5015416Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T08:16:05.5016682Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T08:16:05.5017926Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T08:16:05.5019537Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T08:16:05.5020701Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T08:16:05.5022087Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T08:16:05.5023586Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T08:16:05.5024839Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T08:16:05.5026206Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T08:16:05.5027460Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T08:16:05.5028565Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T08:16:05.5030008Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T08:16:05.5031212Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T08:16:05.5032282Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T08:16:05.5033531Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T08:16:05.5034634Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T08:16:05.5035978Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T08:16:05.5037010Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T08:16:05.5038328Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T08:16:05.5039384Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T08:16:05.5040746Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T08:16:05.5041887Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T08:16:05.5043154Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T08:16:05.5044226Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T08:16:05.5045524Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T08:16:05.5046588Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T08:16:05.5047980Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T08:16:05.5048902Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T08:16:05.5049899Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T08:16:05.5050892Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T08:16:05.5051911Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T08:16:05.5053211Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T08:16:05.5054317Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T08:16:05.5055630Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T08:16:05.5056674Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T08:16:05.5057924Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T08:16:05.5059012Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T08:16:05.5060267Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T08:16:05.5061439Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T08:16:05.5062799Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T08:16:05.5064098Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T08:16:05.5065216Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T08:16:05.5066587Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T08:16:05.5067636Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T08:16:05.5068924Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T08:16:05.5070215Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T08:16:05.5071412Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T08:16:05.5072601Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T08:16:05.5073705Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T08:16:05.5075029Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T08:16:05.5076107Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T08:16:05.5077415Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T08:16:05.5078483Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T08:16:05.5079975Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T08:16:05.5081212Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T08:16:05.5082687Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T08:16:05.5084095Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T08:16:05.5085323Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T08:16:05.5087263Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T08:16:05.5088310Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T08:16:05.5089573Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T08:16:05.5090938Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T08:16:05.5092221Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T08:16:05.5093661Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T08:16:05.5094863Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T08:16:05.5096104Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T08:16:05.5097513Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T08:16:05.5098776Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T08:16:05.5099980Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T08:16:05.5101270Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T08:16:05.5102652Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T08:16:05.5104530Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T08:16:05.5105826Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T08:16:05.5107070Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T08:16:05.5108347Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T08:16:05.5109739Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T08:16:05.5111030Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T08:16:05.5112650Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T08:16:05.5113840Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T08:16:05.5115137Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T08:16:05.5116426Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T08:16:05.5117587Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T08:16:05.5119045Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T08:16:05.5120512Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T08:16:05.5121825Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T08:16:05.5123101Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T08:16:05.5124789Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T08:16:05.5126044Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T08:16:05.5127297Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T08:16:05.5128536Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T08:16:05.5129805Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T08:16:05.5131411Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T08:16:05.5132709Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T08:16:05.5134051Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T08:16:05.5135377Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T08:16:05.5136951Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T08:16:05.5138303Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T08:16:05.5139596Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T08:16:05.5141118Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T08:16:05.5142410Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T08:16:05.5143713Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T08:16:05.5145124Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T08:16:05.5146634Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T08:16:05.5147906Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T08:16:05.5149525Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T08:16:05.5150826Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T08:16:05.5152230Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T08:16:05.5153622Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T08:16:05.5154936Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T08:16:05.5156210Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T08:16:05.5157394Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T08:16:05.5158618Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T08:16:05.5159852Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T08:16:05.5161121Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T08:16:05.5162968Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T08:16:05.5164951Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T08:16:05.5166208Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T08:16:05.5167503Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T08:16:05.5168777Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T08:16:05.5170001Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T08:16:05.5171238Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T08:16:05.5172589Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T08:16:05.5174416Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T08:16:05.5175765Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T08:16:05.5176984Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T08:16:05.5178243Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T08:16:05.5179481Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T08:16:05.5180926Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T08:16:05.5182158Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T08:16:05.5183373Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T08:16:05.5184658Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T08:16:05.5185959Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T08:16:05.5187223Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T08:16:05.5188521Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T08:16:05.5189902Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T08:16:05.5191333Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T08:16:05.5193022Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T08:16:05.5194568Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T08:16:05.5196106Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T08:16:05.5197579Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T08:16:05.5198863Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T08:16:05.5199862Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T08:16:05.5201160Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T08:16:05.5202605Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T08:16:05.5203909Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T08:16:05.5205346Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T08:16:05.5206604Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T08:16:05.5208170Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T08:16:05.5209279Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T08:16:05.5210124Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T08:16:05.5211128Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T08:16:05.5212043Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T08:16:05.5212797Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T08:16:05.5213473Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T08:16:05.5214367Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T08:16:05.5215109Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T08:16:05.5215832Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T08:16:05.5216897Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T08:16:05.5217622Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T08:16:05.5218451Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T08:16:05.5219165Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T08:16:05.5219889Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T08:16:05.5220936Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T08:16:05.5221826Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T08:16:05.5222678Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T08:16:05.5223714Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T08:16:05.5225506Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:16:05.5226367Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T08:16:05.5227377Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T08:16:05.5228305Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T08:16:05.5229224Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T08:16:05.5230248Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T08:16:05.5231278Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T08:16:05.5232302Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T08:16:05.5233212Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T08:16:05.5234380Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T08:16:05.5235136Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T08:16:05.5235891Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T08:16:05.5236610Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T08:16:05.5237444Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T08:16:05.5238157Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T08:16:05.5239031Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T08:16:05.5239750Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T08:16:05.5240651Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T08:16:05.5241506Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T08:16:05.5242228Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T08:16:05.5242924Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T08:16:05.5243646Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T08:16:05.5244631Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T08:16:05.5245329Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T08:16:05.5246022Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T08:16:05.5246958Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T08:16:05.5247675Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T08:16:05.5248501Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T08:16:05.5249217Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T08:16:05.5249955Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T08:16:05.5250659Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T08:16:05.5251352Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T08:16:05.5252071Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T08:16:05.5252815Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T08:16:05.5253528Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T08:16:05.5254184Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T08:16:05.5254937Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T08:16:05.5255614Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T08:16:05.5256589Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T08:16:05.5257545Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T08:16:05.5258522Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T08:16:05.5259315Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T08:16:05.5260056Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T08:16:05.5260784Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T08:16:05.5261516Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T08:16:05.5262278Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T08:16:05.5263007Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T08:16:05.5263740Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T08:16:05.5264459Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T08:16:05.5265231Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T08:16:05.5265955Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T08:16:05.5266712Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T08:16:05.5267548Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T08:16:05.5268306Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T08:16:05.5269587Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T08:16:05.5270397Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T08:16:05.5271721Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T08:16:05.5272553Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T08:16:05.5273031Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T08:16:05.5273779Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T08:16:05.5274661Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T08:16:05.5275657Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T08:16:05.5276901Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T08:16:05.5277970Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T08:16:05.5279010Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T08:16:05.5279955Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T08:16:05.5280881Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T08:16:05.5281725Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T08:16:05.5283233Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T08:16:05.5284020Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T08:16:05.5284645Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T08:16:05.5292991Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T08:16:05.5293711Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T08:16:05.5294177Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T08:16:05.5295007Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T08:16:05.5295865Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T08:16:05.5296357Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T08:16:05.5296824Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T08:16:05.5297292Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T08:16:05.5297755Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T08:16:05.5298213Z * [new tag] ciflow/trunk/160174 -> ciflow/trunk/160174 2025-12-04T08:16:05.5298682Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T08:16:05.5299152Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T08:16:05.5299618Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T08:16:05.5300068Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T08:16:05.5300532Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T08:16:05.5300998Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T08:16:05.5301472Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T08:16:05.5301926Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T08:16:05.5302394Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T08:16:05.5302867Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T08:16:05.5303320Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T08:16:05.5303870Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T08:16:05.5304333Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T08:16:05.5304993Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T08:16:05.5305678Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T08:16:05.5306394Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T08:16:05.5307166Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T08:16:05.5307925Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T08:16:05.5308669Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T08:16:05.5309489Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T08:16:05.5310427Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T08:16:05.5311251Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T08:16:05.5312031Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T08:16:05.5312881Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T08:16:05.5313667Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T08:16:05.5314425Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T08:16:05.5315180Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T08:16:05.5315928Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T08:16:05.5316730Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T08:16:05.5317420Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T08:16:05.5318172Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T08:16:05.5318914Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T08:16:05.5319741Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T08:16:05.5320633Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T08:16:05.5321587Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T08:16:05.5322892Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T08:16:05.5323563Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T08:16:05.5324395Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T08:16:05.5325176Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T08:16:05.5325925Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T08:16:05.5326658Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T08:16:05.5327488Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T08:16:05.5328302Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T08:16:05.5329074Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T08:16:05.5329952Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T08:16:05.5330732Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T08:16:05.5331480Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T08:16:05.5332287Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T08:16:05.5332980Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T08:16:05.5333712Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T08:16:05.5334448Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T08:16:05.5335223Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T08:16:05.5336049Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T08:16:05.5336915Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T08:16:05.5337721Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T08:16:05.5338491Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T08:16:05.5339313Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T08:16:05.5340051Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T08:16:05.5340795Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T08:16:05.5341609Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T08:16:05.5342409Z * [new tag] ciflow/trunk/169229 -> ciflow/trunk/169229 2025-12-04T08:16:05.5343374Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T08:16:05.5344155Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T08:16:05.5345288Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T08:16:05.5346066Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T08:16:05.5346811Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T08:16:05.5347613Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T08:16:05.5348450Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T08:16:05.5349283Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T08:16:05.5350062Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T08:16:05.5350825Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T08:16:05.5351612Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T08:16:05.5352574Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T08:16:05.5353338Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T08:16:05.5354118Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T08:16:05.5354897Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T08:16:05.5355739Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T08:16:05.5356517Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T08:16:05.5357238Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T08:16:05.5358015Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T08:16:05.5358860Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T08:16:05.5359616Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T08:16:05.5360350Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T08:16:05.5361135Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T08:16:05.5361891Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T08:16:05.5362665Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T08:16:05.5363435Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T08:16:05.5364205Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T08:16:05.5364931Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T08:16:05.5365707Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T08:16:05.5366440Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T08:16:05.5367314Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T08:16:05.5368081Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T08:16:05.5368841Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T08:16:05.5369689Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T08:16:05.5370485Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T08:16:05.5371318Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T08:16:05.5372102Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T08:16:05.5372877Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T08:16:05.5374045Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T08:16:05.5374762Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T08:16:05.5375519Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T08:16:05.5376257Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T08:16:05.5377052Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T08:16:05.5378655Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T08:16:05.5379551Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T08:16:05.5380343Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T08:16:05.5381049Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T08:16:05.5381774Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T08:16:05.5382486Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T08:16:05.5383340Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T08:16:05.5384069Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T08:16:05.5384772Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T08:16:05.5385585Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T08:16:05.5386326Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T08:16:05.5387018Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T08:16:05.5387848Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T08:16:05.5388467Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T08:16:05.5389281Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T08:16:05.5390002Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T08:16:05.5390831Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T08:16:05.5391818Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T08:16:05.5393043Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T08:16:05.5393876Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T08:16:05.5394655Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T08:16:05.5395490Z * [new tag] ciflow/xpu/169229 -> ciflow/xpu/169229 2025-12-04T08:16:05.5396292Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T08:16:05.5397009Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T08:16:05.5397859Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T08:16:05.5398631Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T08:16:05.5399410Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T08:16:05.5400251Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T08:16:05.5401024Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T08:16:05.5401768Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T08:16:05.5402619Z * [new tag] cslpull75 -> cslpull75 2025-12-04T08:16:05.5403423Z * [new tag] cslpull76 -> cslpull76 2025-12-04T08:16:05.5404202Z * [new tag] cslpull77 -> cslpull77 2025-12-04T08:16:05.5405055Z * [new tag] cslpull78 -> cslpull78 2025-12-04T08:16:05.5406219Z * [new tag] cslpull79 -> cslpull79 2025-12-04T08:16:05.5407314Z * [new tag] cslpull80 -> cslpull80 2025-12-04T08:16:05.5408129Z * [new tag] cslpull81 -> cslpull81 2025-12-04T08:16:05.5408959Z * [new tag] cslpull82 -> cslpull82 2025-12-04T08:16:05.5409920Z * [new tag] cslpull83 -> cslpull83 2025-12-04T08:16:05.5410726Z * [new tag] cslpull84 -> cslpull84 2025-12-04T08:16:05.5411543Z * [new tag] cslpull85 -> cslpull85 2025-12-04T08:16:05.5412447Z * [new tag] cslpull86 -> cslpull86 2025-12-04T08:16:05.5413345Z * [new tag] cslpull87 -> cslpull87 2025-12-04T08:16:05.5414223Z * [new tag] cslpull88 -> cslpull88 2025-12-04T08:16:05.5415089Z * [new tag] cslpull89 -> cslpull89 2025-12-04T08:16:05.5415784Z * [new tag] cslpull90 -> cslpull90 2025-12-04T08:16:05.5417127Z * [new tag] cslpull91 -> cslpull91 2025-12-04T08:16:05.5417926Z * [new tag] cslpull92 -> cslpull92 2025-12-04T08:16:05.5418800Z * [new tag] flight_5 -> flight_5 2025-12-04T08:16:05.5419898Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T08:16:05.5420741Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T08:16:05.5421626Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T08:16:05.5422492Z * [new tag] forpull1 -> forpull1 2025-12-04T08:16:05.5423711Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T08:16:05.5424573Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T08:16:05.5425416Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T08:16:05.5426331Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T08:16:05.5427240Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T08:16:05.5428240Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T08:16:05.5429563Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T08:16:05.5430852Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T08:16:05.5431928Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T08:16:05.5432964Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T08:16:05.5433775Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T08:16:05.5434614Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T08:16:05.5435537Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T08:16:05.5436358Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T08:16:05.5437369Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T08:16:05.5438301Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T08:16:05.5439213Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T08:16:05.5440111Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T08:16:05.5441159Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T08:16:05.5441994Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T08:16:05.5443021Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T08:16:05.5443927Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T08:16:05.5444831Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T08:16:05.5445740Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T08:16:05.5446658Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T08:16:05.5447478Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T08:16:05.5448358Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T08:16:05.5449354Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T08:16:05.5450315Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T08:16:05.5453447Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T08:16:05.5453980Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T08:16:05.5454577Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T08:16:05.5455117Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T08:16:05.5455643Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T08:16:05.5456348Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T08:16:05.5457124Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T08:16:05.5458011Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T08:16:05.5458908Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T08:16:05.5459840Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T08:16:05.5460768Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T08:16:05.5461563Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T08:16:05.5462445Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T08:16:05.5463319Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T08:16:05.5464331Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T08:16:05.5465246Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T08:16:05.5466241Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T08:16:05.5467058Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T08:16:05.5467881Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T08:16:05.5469464Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T08:16:05.5470333Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T08:16:05.5471192Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T08:16:05.5472062Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T08:16:05.5473062Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T08:16:05.5473734Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T08:16:05.5474648Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T08:16:05.5475571Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T08:16:05.5476472Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T08:16:05.5477352Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T08:16:05.5478208Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T08:16:05.5479074Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T08:16:05.5479968Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T08:16:05.5481293Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T08:16:05.5481886Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T08:16:05.5482848Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T08:16:05.5483737Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T08:16:05.5484704Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T08:16:05.5485480Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T08:16:05.5486555Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T08:16:05.5487394Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T08:16:05.5488835Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T08:16:05.5489695Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T08:16:05.5490847Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T08:16:05.5494054Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T08:16:05.5494934Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T08:16:05.5495874Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T08:16:05.5496791Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T08:16:05.5497751Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T08:16:05.5498665Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T08:16:05.5499436Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T08:16:05.5500405Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T08:16:05.5501287Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T08:16:05.5502073Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T08:16:05.5503237Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T08:16:05.5504038Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T08:16:05.5504982Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T08:16:05.5505718Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T08:16:05.5506670Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T08:16:05.5507601Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T08:16:05.5508554Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T08:16:05.5509569Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T08:16:05.5510521Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T08:16:05.5511479Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T08:16:05.5512389Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T08:16:05.5513318Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T08:16:05.5514268Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T08:16:05.5515167Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T08:16:05.5516036Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T08:16:05.5517003Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T08:16:05.5517942Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T08:16:05.5518871Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T08:16:05.5519724Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T08:16:05.5521008Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T08:16:05.5521887Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T08:16:05.5522820Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T08:16:05.5523725Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T08:16:05.5524624Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T08:16:05.5525471Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T08:16:05.5526330Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T08:16:05.5527292Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T08:16:05.5528197Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T08:16:05.5529190Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T08:16:05.5530110Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T08:16:05.5531272Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T08:16:05.5532204Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T08:16:05.5533062Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T08:16:05.5533973Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T08:16:05.5534918Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T08:16:05.5535661Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:16:05.5536470Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T08:16:05.5537428Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T08:16:05.5538338Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T08:16:05.5539179Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T08:16:05.5539947Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T08:16:05.5540831Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T08:16:05.5542186Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T08:16:05.5543214Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T08:16:05.5544167Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T08:16:05.5544960Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T08:16:05.5546144Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T08:16:05.5546944Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T08:16:05.5547817Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T08:16:05.5548782Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T08:16:05.5549856Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T08:16:05.5550771Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T08:16:05.5551552Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T08:16:05.5552363Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T08:16:05.5553256Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T08:16:05.5554229Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T08:16:05.5555206Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T08:16:05.5556171Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T08:16:05.5557041Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T08:16:05.5557958Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T08:16:05.5558876Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T08:16:05.5559781Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T08:16:05.5560743Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T08:16:05.5561714Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T08:16:05.5562619Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T08:16:05.5563668Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T08:16:05.5564534Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T08:16:05.5565461Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T08:16:05.5566363Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T08:16:05.5567212Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T08:16:05.5568086Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T08:16:05.5569039Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T08:16:05.5569910Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T08:16:05.5570708Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T08:16:05.5571493Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T08:16:05.5572426Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T08:16:05.5573622Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T08:16:05.5574457Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T08:16:05.5575394Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T08:16:05.5576352Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T08:16:05.5577301Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T08:16:05.5578217Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T08:16:05.5579141Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T08:16:05.5580130Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T08:16:05.5581066Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T08:16:05.5582027Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T08:16:05.5582849Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T08:16:05.5583818Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T08:16:05.5584951Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T08:16:05.5585790Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T08:16:05.5586726Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T08:16:05.5587817Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T08:16:05.5588694Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T08:16:05.5589730Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T08:16:05.5591814Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T08:16:05.5592856Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T08:16:05.5593725Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T08:16:05.5594625Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T08:16:05.5595459Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T08:16:05.5596654Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T08:16:05.5597572Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T08:16:05.5598447Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T08:16:05.5599395Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T08:16:05.5600504Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T08:16:05.5601257Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T08:16:05.5602190Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T08:16:05.5603083Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T08:16:05.5604158Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T08:16:05.5605093Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T08:16:05.5605976Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T08:16:05.5606978Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T08:16:05.5607864Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T08:16:05.5608789Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T08:16:05.5609698Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T08:16:05.5610679Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T08:16:05.5611647Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T08:16:05.5612596Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T08:16:05.5613450Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T08:16:05.5614389Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T08:16:05.5615316Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T08:16:05.5616658Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T08:16:05.5617757Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T08:16:05.5618422Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T08:16:05.5619525Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T08:16:05.5620413Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T08:16:05.5621405Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T08:16:05.5622352Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T08:16:05.5623253Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T08:16:05.5624700Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T08:16:05.5625542Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T08:16:05.5626455Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T08:16:05.5627346Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T08:16:05.5628315Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T08:16:05.5629311Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T08:16:05.5630285Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T08:16:05.5631112Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T08:16:05.5632040Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T08:16:05.5633003Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T08:16:05.5633808Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T08:16:05.5634931Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T08:16:05.5635867Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T08:16:05.5637358Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T08:16:05.5638191Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T08:16:05.5639016Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:16:05.5639646Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T08:16:05.5640592Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T08:16:05.5641449Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T08:16:05.5642288Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T08:16:05.5643134Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T08:16:05.5643995Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T08:16:05.5644718Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T08:16:05.5645687Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T08:16:05.5646402Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T08:16:05.5647304Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T08:16:05.5648135Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T08:16:05.5648862Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T08:16:05.5649776Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T08:16:05.5650652Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T08:16:05.5651672Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T08:16:05.5652504Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T08:16:05.5653376Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T08:16:05.5654229Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T08:16:05.5655140Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T08:16:05.5655989Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T08:16:05.5656876Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T08:16:05.5657518Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T08:16:05.5658432Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T08:16:05.5659319Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T08:16:05.5660376Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T08:16:05.5661331Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T08:16:05.5662243Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T08:16:05.5662860Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T08:16:05.5664002Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T08:16:05.5664606Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T08:16:05.5665299Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T08:16:05.5665999Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T08:16:05.5667339Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T08:16:05.5668338Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T08:16:05.5669346Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T08:16:05.5670356Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T08:16:05.5671275Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T08:16:05.5672199Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T08:16:05.5672831Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T08:16:05.5673528Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T08:16:05.5674657Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T08:16:05.5675503Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T08:16:05.5676381Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T08:16:05.5677342Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T08:16:05.5678273Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T08:16:05.5679129Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T08:16:05.5680096Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T08:16:05.5680749Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T08:16:05.5681524Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T08:16:05.5682135Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T08:16:05.5683193Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T08:16:05.5684102Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T08:16:05.5685146Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T08:16:05.5686070Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T08:16:05.5686688Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T08:16:05.5687688Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T08:16:05.5688552Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T08:16:05.5689441Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T08:16:05.5690276Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T08:16:05.5691539Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T08:16:05.5692247Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T08:16:05.5692914Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T08:16:05.5693982Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T08:16:05.5694675Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T08:16:05.5695636Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T08:16:05.5696375Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T08:16:05.5697326Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T08:16:05.5698194Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T08:16:05.5698827Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T08:16:05.5699805Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T08:16:05.5700660Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T08:16:05.5701299Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T08:16:05.5702320Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T08:16:05.5703215Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T08:16:05.5704144Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T08:16:05.5705110Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T08:16:05.5705967Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T08:16:05.5706496Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T08:16:05.5707561Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T08:16:05.5708184Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T08:16:05.5708910Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T08:16:05.5710021Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T08:16:05.5710956Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T08:16:05.5711881Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T08:16:05.5712810Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T08:16:05.5713621Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T08:16:05.5714548Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T08:16:05.5715289Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T08:16:05.5716180Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T08:16:05.5717215Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T08:16:05.5718131Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T08:16:05.5719024Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T08:16:05.5719774Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T08:16:05.5720744Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T08:16:05.5721756Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T08:16:05.5722713Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T08:16:05.5723921Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T08:16:05.5724832Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T08:16:05.5725446Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T08:16:05.5726500Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T08:16:05.5727451Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T08:16:05.5728193Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T08:16:05.5728906Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T08:16:05.5729587Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T08:16:05.5730582Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T08:16:05.5731798Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T08:16:05.5732260Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T08:16:05.5733591Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T08:16:05.5734262Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T08:16:05.5735180Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T08:16:05.5736019Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T08:16:05.5737089Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T08:16:05.5737920Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T08:16:05.5738597Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T08:16:05.5739737Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T08:16:05.5740716Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T08:16:05.5741379Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T08:16:05.5742359Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T08:16:05.5743222Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T08:16:05.5744180Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T08:16:05.5745149Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T08:16:05.5746021Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T08:16:05.5746885Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T08:16:05.5747472Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T08:16:05.5748719Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T08:16:05.5749720Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T08:16:05.5750329Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T08:16:05.5751236Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T08:16:05.5751919Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T08:16:05.5753334Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T08:16:05.5754204Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T08:16:05.5755201Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T08:16:05.5756136Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T08:16:05.5757069Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T08:16:05.5757969Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T08:16:05.5758624Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T08:16:05.5759644Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T08:16:05.5760530Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T08:16:05.5761480Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T08:16:05.5762500Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T08:16:05.5763430Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T08:16:05.5764401Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T08:16:05.5765063Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T08:16:05.5766030Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T08:16:05.5767030Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T08:16:05.5767966Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T08:16:05.5768634Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T08:16:05.5769608Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T08:16:05.5770492Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T08:16:05.5771357Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T08:16:05.5772201Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T08:16:05.5773101Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T08:16:05.5773968Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T08:16:05.5774760Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T08:16:05.5775490Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T08:16:05.5776182Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T08:16:05.5777365Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T08:16:05.5778265Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T08:16:05.5778873Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T08:16:05.5779585Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T08:16:05.5780766Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T08:16:05.5781858Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T08:16:05.5782503Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T08:16:05.5783189Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T08:16:05.5784207Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T08:16:05.5785184Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T08:16:05.5786088Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T08:16:05.5787047Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T08:16:05.5787725Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T08:16:05.5788722Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T08:16:05.5789782Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T08:16:05.5790945Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T08:16:05.5791953Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T08:16:05.5792598Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T08:16:05.5793435Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T08:16:05.5794370Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T08:16:05.5795056Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T08:16:05.5795719Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T08:16:05.5796730Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T08:16:05.5797679Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T08:16:05.5798662Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T08:16:05.5799617Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T08:16:05.5800562Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T08:16:05.5801415Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T08:16:05.5802339Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T08:16:05.5803216Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T08:16:05.5804186Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T08:16:05.5805092Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T08:16:05.5806164Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T08:16:05.5806960Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T08:16:05.5807949Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T08:16:05.5808626Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T08:16:05.5809710Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T08:16:05.5810640Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T08:16:05.5811550Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T08:16:05.5812489Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T08:16:05.5813434Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T08:16:05.5814037Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T08:16:05.5815049Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T08:16:05.5815946Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T08:16:05.5816871Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T08:16:05.5817798Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T08:16:05.5818763Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T08:16:05.5819727Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T08:16:05.5820656Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T08:16:05.5821590Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T08:16:05.5822223Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T08:16:05.5822938Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T08:16:05.5823663Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T08:16:05.5824642Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T08:16:05.5825699Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T08:16:05.5826617Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T08:16:05.5827520Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T08:16:05.5828684Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T08:16:05.5829815Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T08:16:05.5830740Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T08:16:05.5831768Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T08:16:05.5832724Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T08:16:05.5833784Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T08:16:05.5834737Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T08:16:05.5835628Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T08:16:05.5836567Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T08:16:05.5837566Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T08:16:05.5838531Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T08:16:05.5839855Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T08:16:05.5840760Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T08:16:05.5841676Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T08:16:05.5842661Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T08:16:05.5843653Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T08:16:05.5844317Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T08:16:05.5845327Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T08:16:05.5846272Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T08:16:05.5847308Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T08:16:05.5848257Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T08:16:05.5849185Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T08:16:05.5849867Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T08:16:05.5850851Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T08:16:05.5851751Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T08:16:05.5852774Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T08:16:05.5853803Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T08:16:05.5854800Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T08:16:05.5855750Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T08:16:05.5856744Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T08:16:05.5857665Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T08:16:05.5858685Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T08:16:05.5859601Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T08:16:05.5860537Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T08:16:05.5861494Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T08:16:05.5862720Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T08:16:05.5863641Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T08:16:05.5864622Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T08:16:05.5865579Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T08:16:05.5866922Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T08:16:05.5867876Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T08:16:05.5869159Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T08:16:05.5869802Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T08:16:05.5870541Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T08:16:05.5871539Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T08:16:05.5872537Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T08:16:05.5873840Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T08:16:05.5874791Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T08:16:05.5875576Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T08:16:05.5876480Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T08:16:05.5877313Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T08:16:05.5878258Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T08:16:05.5879086Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T08:16:05.5879906Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T08:16:05.5880836Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T08:16:05.5881933Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T08:16:05.5882947Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T08:16:05.5883892Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T08:16:05.5884841Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T08:16:05.5885768Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T08:16:05.5886575Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T08:16:05.5887486Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T08:16:05.5888464Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T08:16:05.5889459Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T08:16:05.5890551Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T08:16:05.5891538Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T08:16:05.5892354Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T08:16:05.5893357Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T08:16:05.5894106Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T08:16:05.5895186Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T08:16:05.5896031Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T08:16:05.5897042Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T08:16:05.5897829Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T08:16:05.5898824Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T08:16:05.5899570Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T08:16:05.5900663Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T08:16:05.5901477Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T08:16:05.5902476Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T08:16:05.5903431Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T08:16:05.5904410Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T08:16:05.5905421Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T08:16:05.5906219Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T08:16:05.5907170Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T08:16:05.5907989Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T08:16:05.5909041Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T08:16:05.5910071Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T08:16:05.5911040Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T08:16:05.5912136Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T08:16:05.5912731Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T08:16:05.5913784Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T08:16:05.5914708Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T08:16:05.5915776Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T08:16:05.5916694Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T08:16:05.5917597Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T08:16:05.5918550Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T08:16:05.5919409Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T08:16:05.5920395Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T08:16:05.5921209Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T08:16:05.5922387Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T08:16:05.5923272Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T08:16:05.5924178Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T08:16:05.5925617Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T08:16:05.5926562Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T08:16:05.5927420Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T08:16:05.5928447Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T08:16:05.5929374Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T08:16:05.5930084Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T08:16:05.5931045Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T08:16:05.5932001Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T08:16:05.5932899Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T08:16:05.5933822Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T08:16:05.5934769Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T08:16:05.5935660Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T08:16:05.5936562Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T08:16:05.5937602Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T08:16:05.5938254Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T08:16:05.5939222Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T08:16:05.5940187Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T08:16:05.5941219Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T08:16:05.5942111Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T08:16:05.5942970Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T08:16:05.5943683Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T08:16:05.5944680Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T08:16:05.5945581Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T08:16:05.5946532Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T08:16:05.5947467Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T08:16:05.5948380Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T08:16:05.5949369Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T08:16:05.5950339Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T08:16:05.5951270Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T08:16:05.5952202Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T08:16:05.5953130Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T08:16:05.5954049Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T08:16:05.5955029Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T08:16:05.5956006Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T08:16:05.5956964Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T08:16:05.5957722Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T08:16:05.5959060Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T08:16:05.5959826Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T08:16:05.5960855Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T08:16:05.5961627Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T08:16:05.5962421Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T08:16:05.5963398Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T08:16:05.5964354Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T08:16:05.5965276Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T08:16:05.5966148Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T08:16:05.5966950Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T08:16:05.5968144Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T08:16:05.5969119Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T08:16:05.5970039Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T08:16:05.5970779Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T08:16:05.5971793Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T08:16:05.5972663Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T08:16:05.5973658Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T08:16:05.5974426Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T08:16:05.5975431Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T08:16:05.5976361Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T08:16:05.5977264Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T08:16:05.5978047Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T08:16:05.5979106Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T08:16:05.5980063Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T08:16:05.5981302Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T08:16:05.5982184Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T08:16:05.5983088Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T08:16:05.5984034Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T08:16:05.5985464Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T08:16:05.5986406Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T08:16:05.5987291Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T08:16:05.5988202Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T08:16:05.5989085Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T08:16:05.5990483Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T08:16:05.5993824Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T08:16:05.5994799Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T08:16:05.5995743Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T08:16:05.5996678Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T08:16:05.5997639Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T08:16:05.5998586Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T08:16:05.5999301Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T08:16:05.6000038Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T08:16:05.6001038Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T08:16:05.6001945Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T08:16:05.6002854Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T08:16:05.6003773Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T08:16:05.6004809Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T08:16:05.6005925Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T08:16:05.6006980Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T08:16:05.6007921Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T08:16:05.6008891Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T08:16:05.6010190Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T08:16:05.6011075Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T08:16:05.6012040Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T08:16:05.6013014Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T08:16:05.6014000Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T08:16:05.6015379Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T08:16:05.6016301Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T08:16:05.6017000Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T08:16:05.6018101Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T08:16:05.6019189Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T08:16:05.6020123Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T08:16:05.6020853Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T08:16:05.6021863Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T08:16:05.6022812Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T08:16:05.6023736Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T08:16:05.6024681Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T08:16:05.6025555Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T08:16:05.6026426Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T08:16:05.6027429Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T08:16:05.6028348Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T08:16:05.6029369Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T08:16:05.6030278Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T08:16:05.6031298Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T08:16:05.6033691Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T08:16:05.6034484Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T08:16:05.6035485Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T08:16:05.6036403Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T08:16:05.6037364Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T08:16:05.6038304Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T08:16:05.6039252Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T08:16:05.6040157Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T08:16:05.6041060Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T08:16:05.6042038Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T08:16:05.6042952Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T08:16:05.6043840Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T08:16:05.6044848Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T08:16:05.6045839Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T08:16:05.6046729Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T08:16:05.6047632Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T08:16:05.6048486Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T08:16:05.6049449Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T08:16:05.6050849Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T08:16:05.6051707Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T08:16:05.6052656Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T08:16:05.6053620Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T08:16:05.6054541Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T08:16:05.6055476Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T08:16:05.6056468Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T08:16:05.6057428Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T08:16:05.6058213Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T08:16:05.6059215Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T08:16:05.6060117Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T08:16:05.6061166Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T08:16:05.6062091Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T08:16:05.6063040Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T08:16:05.6064000Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T08:16:05.6064948Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T08:16:05.6065877Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T08:16:05.6066814Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T08:16:05.6067698Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T08:16:05.6068644Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T08:16:05.6069654Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T08:16:05.6070640Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T08:16:05.6071527Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T08:16:05.6072427Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T08:16:05.6073813Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T08:16:05.6074739Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T08:16:05.6075680Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T08:16:05.6076567Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T08:16:05.6077552Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T08:16:05.6078306Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T08:16:05.6079290Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T08:16:05.6080151Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T08:16:05.6081261Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T08:16:05.6082198Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T08:16:05.6083106Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T08:16:05.6084046Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T08:16:05.6084935Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T08:16:05.6086040Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T08:16:05.6086955Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T08:16:05.6087734Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T08:16:05.6088795Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T08:16:05.6089651Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T08:16:05.6090771Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T08:16:05.6091828Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T08:16:05.6093034Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T08:16:05.6093946Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T08:16:05.6094892Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T08:16:05.6095782Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T08:16:05.6096646Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T08:16:05.6097680Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T08:16:05.6098582Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T08:16:05.6099551Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T08:16:05.6100532Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T08:16:05.6101521Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T08:16:05.6102500Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T08:16:05.6103360Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T08:16:05.6104286Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T08:16:05.6105203Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T08:16:05.6106140Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T08:16:05.6107096Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T08:16:05.6108087Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T08:16:05.6109057Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T08:16:05.6109986Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T08:16:05.6110922Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T08:16:05.6112534Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T08:16:05.6113441Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T08:16:05.6114244Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T08:16:05.6115251Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T08:16:05.6116309Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T08:16:05.6117249Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T08:16:05.6118288Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T08:16:05.6119277Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T08:16:05.6120282Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T08:16:05.6121258Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T08:16:05.6122284Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T08:16:05.6123485Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T08:16:05.6124461Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T08:16:05.6125442Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T08:16:05.6126504Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T08:16:05.6127795Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T08:16:05.6128770Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T08:16:05.6129722Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T08:16:05.6130657Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T08:16:05.6131606Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T08:16:05.6132339Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T08:16:05.6133474Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T08:16:05.6134628Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T08:16:05.6135667Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T08:16:05.6136582Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T08:16:05.6137544Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T08:16:05.6138515Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T08:16:05.6139437Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T08:16:05.6140358Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T08:16:05.6141081Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T08:16:05.6142098Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T08:16:05.6143083Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T08:16:05.6144110Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T08:16:05.6145021Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T08:16:05.6145947Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T08:16:05.6146973Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T08:16:05.6147947Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T08:16:05.6148895Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T08:16:05.6149948Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T08:16:05.6150909Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T08:16:05.6151879Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T08:16:05.6152863Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T08:16:05.6153605Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T08:16:05.6154378Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T08:16:05.6155423Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T08:16:05.6156302Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T08:16:05.6157268Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T08:16:05.6158349Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T08:16:05.6159262Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T08:16:05.6160196Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T08:16:05.6161112Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T08:16:05.6162115Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T08:16:05.6163042Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T08:16:05.6164059Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T08:16:05.6165082Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T08:16:05.6166029Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T08:16:05.6167109Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T08:16:05.6168057Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T08:16:05.6169060Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T08:16:05.6170026Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T08:16:05.6171023Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T08:16:05.6172051Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T08:16:05.6173066Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T08:16:05.6173842Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T08:16:05.6175337Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T08:16:05.6176354Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T08:16:05.6177296Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T08:16:05.6178299Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T08:16:05.6179743Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T08:16:05.6180689Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T08:16:05.6181670Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T08:16:05.6182622Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T08:16:05.6183684Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T08:16:05.6184579Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T08:16:05.6185560Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T08:16:05.6186547Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T08:16:05.6187542Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T08:16:05.6188519Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T08:16:05.6189522Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T08:16:05.6190680Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T08:16:05.6191792Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T08:16:05.6192655Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T08:16:05.6193658Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T08:16:05.6194841Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T08:16:05.6195896Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T08:16:05.6196839Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T08:16:05.6197805Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T08:16:05.6198845Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T08:16:05.6199834Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T08:16:05.6200773Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T08:16:05.6201752Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T08:16:05.6202767Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T08:16:05.6203828Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T08:16:05.6204736Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T08:16:05.6205692Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T08:16:05.6206675Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T08:16:05.6207811Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T08:16:05.6208752Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T08:16:05.6209732Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T08:16:05.6210693Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T08:16:05.6211653Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T08:16:05.6214159Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T08:16:05.6214507Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T08:16:05.6215675Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T08:16:05.6216046Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T08:16:05.6217159Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T08:16:05.6218144Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T08:16:05.6219190Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T08:16:05.6220344Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T08:16:05.6221266Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T08:16:05.6222244Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T08:16:05.6223219Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T08:16:05.6224176Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T08:16:05.6225172Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T08:16:05.6226117Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T08:16:05.6227141Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T08:16:05.6228061Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T08:16:05.6229101Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T08:16:05.6230129Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T08:16:05.6230875Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T08:16:05.6232289Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T08:16:05.6233011Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T08:16:05.6234093Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T08:16:05.6235055Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T08:16:05.6236012Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T08:16:05.6236999Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T08:16:05.6237950Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T08:16:05.6238935Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T08:16:05.6240429Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T08:16:05.6241493Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T08:16:05.6242424Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T08:16:05.6243415Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T08:16:05.6244461Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T08:16:05.6245600Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T08:16:05.6246756Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T08:16:05.6247515Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T08:16:05.6248574Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T08:16:05.6249591Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T08:16:05.6250443Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T08:16:05.6251588Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T08:16:05.6252550Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T08:16:05.6253592Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T08:16:05.6254651Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T08:16:05.6255415Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T08:16:05.6256640Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T08:16:05.6257507Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T08:16:05.6258549Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T08:16:05.6259491Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T08:16:05.6260470Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T08:16:05.6261223Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T08:16:05.6262127Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T08:16:05.6262965Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T08:16:05.6264112Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T08:16:05.6265083Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T08:16:05.6265852Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T08:16:05.6267251Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T08:16:05.6268204Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T08:16:05.6269232Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T08:16:05.6270333Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T08:16:05.6271335Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T08:16:05.6272428Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T08:16:05.6273382Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T08:16:05.6274401Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T08:16:05.6275738Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T08:16:05.6276851Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T08:16:05.6277860Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T08:16:05.6278817Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T08:16:05.6279818Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T08:16:05.6280804Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T08:16:05.6281861Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T08:16:05.6282857Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T08:16:05.6283946Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T08:16:05.6285025Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T08:16:05.6285968Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T08:16:05.6286938Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T08:16:05.6287897Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T08:16:05.6288946Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T08:16:05.6290003Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T08:16:05.6291271Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T08:16:05.6292322Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T08:16:05.6293570Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T08:16:05.6294510Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T08:16:05.6295516Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T08:16:05.6296490Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T08:16:05.6297501Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T08:16:05.6298218Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T08:16:05.6299356Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T08:16:05.6300299Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T08:16:05.6301054Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T08:16:05.6302121Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T08:16:05.6303096Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T08:16:05.6303875Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T08:16:05.6305366Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T08:16:05.6306372Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T08:16:05.6307348Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T08:16:05.6308350Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T08:16:05.6309361Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T08:16:05.6310370Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T08:16:05.6311398Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T08:16:05.6312351Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T08:16:05.6313415Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T08:16:05.6314389Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T08:16:05.6315431Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T08:16:05.6316388Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T08:16:05.6317397Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T08:16:05.6318396Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T08:16:05.6319368Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T08:16:05.6320361Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T08:16:05.6321328Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T08:16:05.6322285Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T08:16:05.6323398Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T08:16:05.6324399Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T08:16:05.6325541Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T08:16:05.6326492Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T08:16:05.6327509Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T08:16:05.6328471Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T08:16:05.6329635Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T08:16:05.6330750Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T08:16:05.6331731Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T08:16:05.6332717Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T08:16:05.6333678Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T08:16:05.6334768Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T08:16:05.6335752Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T08:16:05.6336915Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T08:16:05.6337999Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T08:16:05.6338995Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T08:16:05.6339780Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T08:16:05.6340927Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T08:16:05.6341903Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T08:16:05.6342862Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T08:16:05.6343880Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T08:16:05.6344989Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T08:16:05.6346482Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T08:16:05.6347503Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T08:16:05.6348500Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T08:16:05.6349358Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T08:16:05.6350482Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T08:16:05.6351512Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T08:16:05.6352555Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T08:16:05.6353562Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T08:16:05.6354322Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T08:16:05.6355381Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T08:16:05.6356418Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T08:16:05.6357346Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T08:16:05.6358326Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T08:16:05.6359337Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T08:16:05.6360409Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T08:16:05.6361450Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T08:16:05.6362459Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T08:16:05.6363634Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T08:16:05.6364692Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T08:16:05.6365653Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T08:16:05.6366720Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T08:16:05.6367411Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T08:16:05.6368533Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T08:16:05.6369475Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T08:16:05.6370962Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T08:16:05.6372123Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T08:16:05.6373130Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T08:16:05.6374144Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T08:16:05.6375177Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T08:16:05.6376192Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T08:16:05.6377199Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T08:16:05.6378199Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T08:16:05.6379284Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T08:16:05.6380053Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T08:16:05.6381193Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T08:16:05.6382166Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T08:16:05.6383239Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T08:16:05.6384201Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T08:16:05.6385188Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T08:16:05.6386144Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T08:16:05.6387169Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T08:16:05.6388259Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T08:16:05.6389310Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T08:16:05.6390526Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T08:16:05.6391638Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T08:16:05.6392615Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T08:16:05.6393623Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T08:16:05.6394686Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T08:16:05.6395701Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T08:16:05.6396466Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T08:16:05.6397432Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T08:16:05.6398493Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T08:16:05.6399452Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T08:16:05.6400425Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T08:16:05.6401407Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T08:16:05.6402362Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T08:16:05.6403579Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T08:16:05.6404532Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T08:16:05.6405538Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T08:16:05.6406965Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T08:16:05.6407959Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T08:16:05.6409069Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T08:16:05.6409920Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T08:16:05.6410956Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T08:16:05.6412109Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T08:16:05.6413038Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T08:16:05.6413820Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T08:16:05.6414932Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T08:16:05.6415926Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T08:16:05.6417657Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T08:16:05.6418679Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T08:16:05.6419617Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T08:16:05.6420583Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T08:16:05.6421617Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T08:16:05.6422675Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T08:16:05.6423800Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T08:16:05.6424845Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T08:16:05.6425922Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T08:16:05.6426688Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T08:16:05.6427815Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T08:16:05.6428880Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T08:16:05.6430020Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T08:16:05.6431048Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T08:16:05.6431933Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T08:16:05.6432910Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T08:16:05.6433909Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T08:16:05.6434936Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T08:16:05.6435942Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T08:16:05.6437431Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T08:16:05.6438436Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T08:16:05.6439547Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T08:16:05.6440535Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T08:16:05.6441369Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T08:16:05.6442408Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T08:16:05.6443395Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T08:16:05.6444276Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T08:16:05.6445054Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T08:16:05.6445965Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T08:16:05.6447001Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T08:16:05.6448110Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T08:16:05.6449194Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T08:16:05.6450155Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T08:16:05.6451169Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T08:16:05.6452199Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T08:16:05.6453274Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T08:16:05.6454258Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T08:16:05.6455230Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T08:16:05.6456334Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T08:16:05.6457086Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T08:16:05.6458229Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T08:16:05.6459241Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T08:16:05.6460222Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T08:16:05.6461198Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T08:16:05.6462235Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T08:16:05.6463202Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T08:16:05.6464204Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T08:16:05.6465210Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T08:16:05.6466260Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T08:16:05.6467262Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T08:16:05.6468270Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T08:16:05.6469552Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T08:16:05.6470621Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T08:16:05.6471573Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T08:16:05.6472523Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T08:16:05.6473660Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T08:16:05.6474644Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T08:16:05.6475779Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T08:16:05.6476746Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T08:16:05.6477802Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T08:16:05.6478701Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T08:16:05.6479739Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T08:16:05.6480511Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T08:16:05.6481583Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T08:16:05.6482652Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T08:16:05.6484012Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T08:16:05.6484997Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T08:16:05.6486002Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T08:16:05.6486967Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T08:16:05.6487967Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T08:16:05.6488959Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T08:16:05.6489878Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T08:16:05.6490980Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T08:16:05.6496370Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T08:16:05.6497378Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T08:16:05.6498433Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T08:16:05.6499442Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T08:16:05.6500432Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T08:16:05.6501415Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T08:16:05.6502512Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T08:16:05.6503493Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T08:16:05.6504458Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T08:16:05.6505214Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T08:16:05.6506740Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T08:16:05.6507858Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T08:16:05.6508853Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T08:16:05.6510022Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T08:16:05.6511217Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T08:16:05.6511962Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T08:16:05.6513050Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T08:16:05.6514107Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T08:16:05.6515151Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T08:16:05.6516099Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T08:16:05.6517177Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T08:16:05.6518437Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T08:16:05.6519321Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T08:16:05.6520292Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T08:16:05.6521268Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T08:16:05.6522216Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T08:16:05.6523189Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T08:16:05.6524205Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T08:16:05.6525232Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T08:16:05.6526016Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T08:16:05.6527091Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T08:16:05.6528049Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T08:16:05.6528802Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T08:16:05.6529846Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T08:16:05.6530861Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T08:16:05.6531773Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T08:16:05.6532823Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T08:16:05.6533782Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T08:16:05.6534779Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T08:16:05.6535806Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T08:16:05.6536570Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T08:16:05.6537632Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T08:16:05.6538925Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T08:16:05.6539902Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T08:16:05.6540642Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T08:16:05.6541556Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T08:16:05.6542307Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T08:16:05.6543181Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T08:16:05.6543963Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T08:16:05.6544879Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T08:16:05.6545647Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T08:16:05.6546518Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T08:16:05.6547286Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T08:16:05.6548213Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T08:16:05.6548936Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T08:16:05.6549968Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T08:16:05.6550717Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T08:16:05.6551715Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T08:16:05.6552420Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T08:16:05.6553305Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T08:16:05.6554065Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T08:16:05.6554854Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T08:16:05.6555801Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T08:16:05.6556526Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T08:16:05.6557396Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T08:16:05.6558154Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T08:16:05.6559029Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T08:16:05.6559821Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T08:16:05.6560975Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T08:16:05.6561948Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T08:16:05.6563103Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T08:16:05.7303719Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T08:16:05.7326972Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:16:05.7331042Z ##[endgroup] 2025-12-04T08:16:05.7331501Z ##[group]Determining the checkout info 2025-12-04T08:16:05.7332462Z ##[endgroup] 2025-12-04T08:16:05.7336731Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T08:16:05.7367552Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T08:16:05.7391263Z ##[group]Checking out the ref 2025-12-04T08:16:05.7394972Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:16:06.7858924Z Updating files: 81% (16325/20121) 2025-12-04T08:16:06.8065705Z Updating files: 82% (16500/20121) 2025-12-04T08:16:06.8211397Z Updating files: 83% (16701/20121) 2025-12-04T08:16:06.8344929Z Updating files: 84% (16902/20121) 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(20121/20121) 2025-12-04T08:16:07.0762109Z Updating files: 100% (20121/20121), done. 2025-12-04T08:16:07.1032533Z Note: switching to 'ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32'. 2025-12-04T08:16:07.1033125Z 2025-12-04T08:16:07.1033365Z You are in 'detached HEAD' state. You can look around, make experimental 2025-12-04T08:16:07.1033938Z changes and commit them, and you can discard any commits you make in this 2025-12-04T08:16:07.1034494Z state without impacting any branches by switching back to a branch. 2025-12-04T08:16:07.1034839Z 2025-12-04T08:16:07.1035050Z If you want to create a new branch to retain commits you create, you may 2025-12-04T08:16:07.1035823Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T08:16:07.1036123Z 2025-12-04T08:16:07.1036249Z git switch -c 2025-12-04T08:16:07.1036466Z 2025-12-04T08:16:07.1036570Z Or undo this operation with: 2025-12-04T08:16:07.1036769Z 2025-12-04T08:16:07.1036859Z git switch - 2025-12-04T08:16:07.1037024Z 2025-12-04T08:16:07.1037475Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T08:16:07.1038042Z 2025-12-04T08:16:07.1038321Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T08:16:07.1106606Z ##[endgroup] 2025-12-04T08:16:07.1107041Z ##[group]Setting up auth for fetching submodules 2025-12-04T08:16:07.1113190Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:16:07.1157328Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T08:16:07.1183151Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T08:16:07.1207460Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T08:16:07.1229172Z ##[endgroup] 2025-12-04T08:16:07.1229572Z ##[group]Fetching submodules 2025-12-04T08:16:07.1232734Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T08:16:07.1528984Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T08:16:07.1817354Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T08:16:07.1819886Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T08:16:07.1822558Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T08:16:07.1826009Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T08:16:07.1828668Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T08:16:07.1833123Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T08:16:07.1835708Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T08:16:07.1839084Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T08:16:07.1842360Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T08:16:07.1845289Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T08:16:07.1848591Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T08:16:07.1851849Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T08:16:07.1855394Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T08:16:07.1858897Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T08:16:07.1862552Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T08:16:07.1866903Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T08:16:07.1872666Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T08:16:07.1876500Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T08:16:07.1880677Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:16:07.1884672Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T08:16:07.1889047Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T08:16:07.1893901Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T08:16:07.1898369Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T08:16:07.1902870Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T08:16:07.1907512Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T08:16:07.1912403Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T08:16:07.1917111Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T08:16:07.1921881Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T08:16:07.1927112Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T08:16:07.1932017Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T08:16:07.1937227Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T08:16:07.1942462Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T08:16:07.1947931Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T08:16:07.1954811Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T08:16:07.1960495Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T08:16:07.1966040Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T08:16:07.1971843Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T08:16:07.2001408Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T08:16:07.4391330Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T08:16:07.4393221Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T08:16:07.4394567Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T08:16:07.4396333Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T08:16:19.5434241Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T08:16:19.5435973Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T08:16:19.5437629Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T08:16:19.5439330Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T08:16:19.5441290Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T08:16:19.5442974Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T08:16:19.5444752Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T08:16:19.5446522Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T08:16:19.5448237Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T08:16:19.5449732Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T08:16:19.5451168Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T08:16:19.5452802Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T08:16:19.5454304Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T08:16:19.5455822Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T08:16:19.5457276Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T08:16:19.5458833Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T08:16:19.5460289Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T08:16:19.5463052Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T08:16:19.5465172Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T08:16:19.5466799Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T08:16:19.5469124Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T08:16:19.5471466Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T08:16:19.5804505Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T08:16:51.6043232Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T08:16:51.6045113Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T08:16:51.6052677Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T08:16:51.6056169Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T08:16:51.6057558Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T08:16:51.6058940Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T08:16:51.6060361Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T08:16:51.7044314Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T08:16:52.3128324Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T08:16:53.4771804Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T08:16:53.4895494Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T08:16:53.4990059Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T08:16:53.5238077Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T08:16:53.6071477Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T08:16:53.6641216Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T08:16:54.4110012Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T08:16:54.6217229Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T08:16:54.6237603Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:16:54.6265145Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T08:16:59.7812789Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T08:16:59.8063064Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T08:17:00.1655464Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:17:00.2173472Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T08:17:00.3163931Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T08:17:00.3662665Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T08:17:01.0176520Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T08:17:01.1733722Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T08:17:01.1757164Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T08:17:01.1760092Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:17:01.1763004Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:17:01.1766106Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T08:17:01.1769371Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T08:17:01.1773091Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:17:01.1776791Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T08:17:01.1806051Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T08:17:02.8377257Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T08:17:02.8379458Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T08:17:02.9377876Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T08:17:06.9988442Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T08:17:06.9989613Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T08:17:07.0989516Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T08:17:11.0829118Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T08:17:11.4385960Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:17:11.5387572Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T08:17:12.1727761Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T08:17:12.2191625Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:17:12.2308251Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T08:17:12.3324016Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T08:17:12.4025918Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T08:17:12.4044968Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:17:12.4047255Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:17:12.4073967Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T08:17:17.5087445Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T08:17:17.7544713Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T08:17:18.3176178Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T08:17:18.4578834Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T08:17:18.4881605Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T08:17:18.5282811Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T08:17:18.5536981Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T08:17:18.5983998Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:17:18.6115122Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T08:17:18.6132746Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T08:17:18.6157718Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T08:17:37.5072076Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T08:17:37.5278185Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T08:17:37.6137191Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T08:17:37.6157035Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:17:37.6159723Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:17:37.6163010Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:17:37.6192669Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T08:17:38.5472735Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T08:17:39.5195696Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T08:17:39.6092653Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T08:17:39.6110086Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:17:39.6112300Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:17:39.6115176Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:17:39.6118540Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:17:39.6121405Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:17:39.6124595Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:17:39.6127766Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:17:39.6130943Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:17:39.6134393Z 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' 2025-12-04T08:17:39.6163362Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T08:17:42.0748219Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T08:17:42.0749894Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T08:17:42.0751627Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T08:17:42.0753131Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T08:17:42.0754411Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T08:17:42.0755893Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T08:17:42.0876419Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T08:17:42.1877640Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T08:17:49.3250234Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T08:17:49.3437995Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T08:17:49.3847142Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T08:17:49.3989531Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T08:17:49.4006488Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:17:49.4035994Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-12-04T08:17:49.8999158Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-12-04T08:17:49.9194494Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-12-04T08:17:49.9660214Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:17:50.0662416Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-12-04T08:17:50.0831690Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-12-04T08:17:50.1005282Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a' 2025-12-04T08:17:50.1020360Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:17:50.1022915Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:17:50.1049268Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-12-04T08:17:52.6347666Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'... 2025-12-04T08:17:52.8849218Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159' 2025-12-04T08:17:52.9329075Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-12-04T08:17:52.9647826Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-12-04T08:17:53.0089481Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:17:53.0615633Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe' 2025-12-04T08:17:53.1007961Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-12-04T08:17:53.2013632Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-12-04T08:17:53.6109829Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-12-04T08:17:53.6149176Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-12-04T08:17:53.6176365Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-12-04T08:17:54.5918547Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-12-04T08:17:54.6633169Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-12-04T08:17:54.6653229Z Submodule 'third_party/benchmark' 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--recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T08:18:16.1316679Z Entering 'android/libs/fbjni' 2025-12-04T08:18:16.1358230Z Entering 'third_party/FP16' 2025-12-04T08:18:16.1401849Z Entering 'third_party/FXdiv' 2025-12-04T08:18:16.1442909Z Entering 'third_party/NNPACK' 2025-12-04T08:18:16.1485344Z Entering 'third_party/NVTX' 2025-12-04T08:18:16.1528059Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:18:16.1569352Z Entering 'third_party/XNNPACK' 2025-12-04T08:18:16.1625355Z Entering 'third_party/aiter' 2025-12-04T08:18:16.1666833Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:18:16.1718905Z Entering 'third_party/benchmark' 2025-12-04T08:18:16.1760605Z Entering 'third_party/composable_kernel' 2025-12-04T08:18:16.1811620Z Entering 'third_party/cpp-httplib' 2025-12-04T08:18:16.1853159Z Entering 'third_party/cpuinfo' 2025-12-04T08:18:16.1895634Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:18:16.1936903Z Entering 'third_party/cutlass' 2025-12-04T08:18:16.1989161Z Entering 'third_party/fbgemm' 2025-12-04T08:18:16.2033666Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:18:16.2073993Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:18:16.2125293Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:18:16.2165598Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:18:16.2216226Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:18:16.2256238Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:18:16.2296765Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:18:16.2339735Z Entering 'third_party/flash-attention' 2025-12-04T08:18:16.2382130Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:18:16.2432668Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:18:16.2483244Z Entering 'third_party/flatbuffers' 2025-12-04T08:18:16.2527173Z Entering 'third_party/fmt' 2025-12-04T08:18:16.2568154Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:18:16.2609697Z Entering 'third_party/gloo' 2025-12-04T08:18:16.2650840Z Entering 'third_party/googletest' 2025-12-04T08:18:16.2699321Z Entering 'third_party/ideep' 2025-12-04T08:18:16.2739792Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:18:16.2788329Z Entering 'third_party/ittapi' 2025-12-04T08:18:16.2830675Z Entering 'third_party/kineto' 2025-12-04T08:18:16.2872480Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:18:16.2915277Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:18:16.2956367Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:18:16.2996809Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:18:16.3038339Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:18:16.3077548Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:18:16.3121041Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:18:16.3162120Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:18:16.3202834Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:18:16.3243836Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:18:16.3283545Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:18:16.3324645Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:18:16.3368876Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:18:16.3413107Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:18:16.3452553Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:18:16.3494182Z Entering 'third_party/kleidiai' 2025-12-04T08:18:16.3536644Z Entering 'third_party/mimalloc' 2025-12-04T08:18:16.3578415Z Entering 'third_party/nlohmann' 2025-12-04T08:18:16.3623773Z Entering 'third_party/onnx' 2025-12-04T08:18:16.3682735Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:18:16.3726667Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:18:16.3769284Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:18:16.3809728Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:18:16.3849383Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:18:16.3889752Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:18:16.3931246Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:18:16.3970788Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:18:16.4011019Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:18:16.4049898Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:18:16.4092942Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:18:16.4135746Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:18:16.4205158Z Entering 'third_party/pocketfft' 2025-12-04T08:18:16.4247641Z Entering 'third_party/protobuf' 2025-12-04T08:18:16.4293393Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:18:16.4333571Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:18:16.4375348Z Entering 'third_party/psimd' 2025-12-04T08:18:16.4418023Z Entering 'third_party/pthreadpool' 2025-12-04T08:18:16.4459725Z Entering 'third_party/pybind11' 2025-12-04T08:18:16.4501503Z Entering 'third_party/python-peachpy' 2025-12-04T08:18:16.4544353Z Entering 'third_party/sleef' 2025-12-04T08:18:16.4585634Z Entering 'third_party/tensorpipe' 2025-12-04T08:18:16.4627159Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:18:16.4667478Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:18:16.4708627Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:18:16.4748850Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:18:16.4789538Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:18:16.4846372Z ##[endgroup] 2025-12-04T08:18:16.4881764Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T08:18:16.4905075Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:18:16.5011320Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T08:18:16.5011683Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:18:16.5011987Z # Clean stale submodule dirs 2025-12-04T08:18:16.5012314Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:18:16.5012731Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T08:18:16.5013115Z else 2025-12-04T08:18:16.5013434Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T08:18:16.5013805Z fi 2025-12-04T08:18:16.5023333Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:18:16.5023726Z env: 2025-12-04T08:18:16.5023963Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:18:16.5024216Z NO_SUDO: true 2025-12-04T08:18:16.5024451Z ##[endgroup] 2025-12-04T08:18:16.5350041Z Entering 'android/libs/fbjni' 2025-12-04T08:18:16.5384198Z Entering 'third_party/FP16' 2025-12-04T08:18:16.5415748Z Entering 'third_party/FXdiv' 2025-12-04T08:18:16.5445876Z Entering 'third_party/NNPACK' 2025-12-04T08:18:16.5480187Z Entering 'third_party/NVTX' 2025-12-04T08:18:16.5517760Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:18:16.5549515Z Entering 'third_party/XNNPACK' 2025-12-04T08:18:16.5666806Z Entering 'third_party/aiter' 2025-12-04T08:18:16.5710338Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:18:16.5816926Z Entering 'third_party/benchmark' 2025-12-04T08:18:16.5849995Z Entering 'third_party/composable_kernel' 2025-12-04T08:18:16.5971237Z Entering 'third_party/cpp-httplib' 2025-12-04T08:18:16.6004505Z Entering 'third_party/cpuinfo' 2025-12-04T08:18:16.6040427Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:18:16.6074478Z Entering 'third_party/cutlass' 2025-12-04T08:18:16.6174495Z Entering 'third_party/fbgemm' 2025-12-04T08:18:16.6233401Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:18:16.6263444Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:18:16.6376446Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:18:16.6411413Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:18:16.6505901Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:18:16.6537368Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:18:16.6565316Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:18:16.6607182Z Entering 'third_party/flash-attention' 2025-12-04T08:18:16.6647638Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:18:16.6748349Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:18:16.6835941Z Entering 'third_party/flatbuffers' 2025-12-04T08:18:16.6908496Z Entering 'third_party/fmt' 2025-12-04T08:18:16.6941041Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:18:16.6973490Z Entering 'third_party/gloo' 2025-12-04T08:18:16.7006759Z Entering 'third_party/googletest' 2025-12-04T08:18:16.7040486Z Entering 'third_party/ideep' 2025-12-04T08:18:16.7069230Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:18:16.7150479Z Entering 'third_party/ittapi' 2025-12-04T08:18:16.7187406Z Entering 'third_party/kineto' 2025-12-04T08:18:16.7222684Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:18:16.7258341Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:18:16.7302205Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:18:16.7333247Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:18:16.7370341Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:18:16.7398289Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:18:16.7429184Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:18:16.7459763Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:18:16.7492378Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:18:16.7531067Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:18:16.7560582Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:18:16.7591396Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:18:16.7639631Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:18:16.7675888Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:18:16.7709782Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:18:16.7742104Z Entering 'third_party/kleidiai' 2025-12-04T08:18:16.7779832Z Entering 'third_party/mimalloc' 2025-12-04T08:18:16.7812962Z Entering 'third_party/nlohmann' 2025-12-04T08:18:16.7861178Z Entering 'third_party/onnx' 2025-12-04T08:18:16.8184564Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:18:16.8222555Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:18:16.8276577Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:18:16.8307194Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:18:16.8340118Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:18:16.8369046Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:18:16.8409977Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:18:16.8439646Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:18:16.8470689Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:18:16.8500795Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:18:16.8546616Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:18:16.8579902Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:18:16.8836194Z Entering 'third_party/pocketfft' 2025-12-04T08:18:16.8867251Z Entering 'third_party/protobuf' 2025-12-04T08:18:16.8943286Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:18:16.8973474Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:18:16.9008936Z Entering 'third_party/psimd' 2025-12-04T08:18:16.9039945Z Entering 'third_party/pthreadpool' 2025-12-04T08:18:16.9073100Z Entering 'third_party/pybind11' 2025-12-04T08:18:16.9110989Z Entering 'third_party/python-peachpy' 2025-12-04T08:18:16.9142294Z Entering 'third_party/sleef' 2025-12-04T08:18:16.9175153Z Entering 'third_party/tensorpipe' 2025-12-04T08:18:16.9208424Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:18:16.9238928Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:18:16.9267318Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:18:16.9302180Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:18:16.9332507Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:18:16.9487369Z Prepare all required actions 2025-12-04T08:18:16.9487974Z Getting action download info 2025-12-04T08:18:17.0931057Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T08:18:17.0931379Z env: 2025-12-04T08:18:17.0931592Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:18:17.0931858Z ##[endgroup] 2025-12-04T08:18:17.0976919Z ##[group]Run set -euo pipefail 2025-12-04T08:18:17.0977445Z set -euo pipefail 2025-12-04T08:18:17.0977743Z function get_ec2_metadata() { 2025-12-04T08:18:17.0978131Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T08:18:17.0978767Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T08:18:17.0979345Z  category=$1 2025-12-04T08:18:17.0979708Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T08:18:17.0980140Z  runner_name_str=i-04926a0630d4b7a07 2025-12-04T08:18:17.0980534Z  if [[ -f /.inarc ]]; then 2025-12-04T08:18:17.0980873Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T08:18:17.0981269Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T08:18:17.0981743Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T08:18:17.0982189Z  else 2025-12-04T08:18:17.0983075Z  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}" 2025-12-04T08:18:17.0984017Z  fi 2025-12-04T08:18:17.0984234Z } 2025-12-04T08:18:17.0984501Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T08:18:17.0984921Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T08:18:17.0985409Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T08:18:17.0985834Z echo "system info $(uname -a)" 2025-12-04T08:18:17.0992267Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:18:17.0992677Z env: 2025-12-04T08:18:17.0992892Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:18:17.0993144Z ##[endgroup] 2025-12-04T08:18:17.1138210Z ami-id: ami-08982f1c5bf93d976 2025-12-04T08:18:17.1271592Z instance-id: i-04926a0630d4b7a07 2025-12-04T08:18:17.1376537Z instance-type: c5.2xlarge 2025-12-04T08:18:17.1387831Z system info Linux ip-10-0-56-255.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep 9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-12-04T08:18:17.1416968Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:18:17.1417447Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:18:17.1424248Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:18:17.1424639Z env: 2025-12-04T08:18:17.1424844Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:18:17.1425114Z ##[endgroup] 2025-12-04T08:18:17.1472462Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:18:17.1473412Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:18:17.1479124Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:18:17.1479523Z env: 2025-12-04T08:18:17.1479726Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:18:17.1479990Z ##[endgroup] 2025-12-04T08:18:17.1533541Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T08:18:17.1533983Z if systemctl is-active --quiet docker; then 2025-12-04T08:18:17.1534377Z  echo "Docker daemon is running..."; 2025-12-04T08:18:17.1534712Z else 2025-12-04T08:18:17.1535058Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T08:18:17.1535494Z fi 2025-12-04T08:18:17.1541343Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:18:17.1541776Z env: 2025-12-04T08:18:17.1541983Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:18:17.1542248Z ##[endgroup] 2025-12-04T08:18:17.1619844Z Docker daemon is running... 2025-12-04T08:18:17.1681677Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T08:18:17.1682102Z with: 2025-12-04T08:18:17.1682382Z shell: bash 2025-12-04T08:18:17.1682862Z timeout_minutes: 5 2025-12-04T08:18:17.1683209Z max_attempts: 3 2025-12-04T08:18:17.1683535Z retry_wait_seconds: 30 2025-12-04T08:18:17.1686546Z command: AWS_ACCOUNT_ID=$(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 2025-12-04T08:18:17.1688983Z polling_interval_seconds: 1 2025-12-04T08:18:17.1689263Z warning_on_retry: true 2025-12-04T08:18:17.1689532Z continue_on_error: false 2025-12-04T08:18:17.1689793Z env: 2025-12-04T08:18:17.1690014Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:18:17.1690271Z AWS_RETRY_MODE: standard 2025-12-04T08:18:17.1690750Z AWS_MAX_ATTEMPTS: 5 2025-12-04T08:18:17.1691019Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T08:18:17.1691292Z ##[endgroup] 2025-12-04T08:18:18.4460334Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:18:18.4460981Z Configure a credential helper to remove this warning. See 2025-12-04T08:18:18.4461675Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:18:18.4462091Z 2025-12-04T08:18:18.4462192Z Login Succeeded 2025-12-04T08:18:19.2546472Z Command completed after 1 attempt(s). 2025-12-04T08:18:19.2605700Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:18:19.2606253Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:18:19.2606730Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:18:19.2614762Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:18:19.2615138Z env: 2025-12-04T08:18:19.2615364Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:18:19.2615632Z ##[endgroup] 2025-12-04T08:18:19.2700732Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:18:19.2701329Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:18:19.2701773Z # shellcheck disable=SC2046 2025-12-04T08:18:19.2702106Z docker stop $(docker ps -q) || true 2025-12-04T08:18:19.2702461Z # Prune all of the docker images 2025-12-04T08:18:19.2702811Z docker system prune -af 2025-12-04T08:18:19.2708855Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:18:19.2709243Z env: 2025-12-04T08:18:19.2709465Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:18:19.2709723Z ##[endgroup] 2025-12-04T08:18:19.3100985Z "docker stop" requires at least 1 argument. 2025-12-04T08:18:19.3101376Z See 'docker stop --help'. 2025-12-04T08:18:19.3101588Z 2025-12-04T08:18:19.3101751Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T08:18:19.3102028Z 2025-12-04T08:18:19.3102149Z Stop one or more running containers 2025-12-04T08:18:19.3280719Z Total reclaimed space: 0B 2025-12-04T08:18:19.3533008Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T08:18:19.3533512Z with: 2025-12-04T08:18:19.3534267Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:18:19.3535113Z use-custom-docker-registry: true 2025-12-04T08:18:19.3535435Z docker-build-dir: .ci/docker 2025-12-04T08:18:19.3535734Z docker-build-script: ./build.sh 2025-12-04T08:18:19.3536023Z working-directory: . 2025-12-04T08:18:19.3536374Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:18:19.3536778Z force-push: false 2025-12-04T08:18:19.3536999Z env: 2025-12-04T08:18:19.3537356Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:18:19.3537618Z ##[endgroup] 2025-12-04T08:18:19.3562121Z ##[group]Run set -ex 2025-12-04T08:18:19.3562425Z set -ex 2025-12-04T08:18:19.3562655Z  2025-12-04T08:18:19.3563100Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T08:18:19.3563788Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T08:18:19.3564377Z # job could then download the pre-built image as usual 2025-12-04T08:18:19.3565090Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T08:18:19.3565740Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T08:18:19.3566073Z else 2025-12-04T08:18:19.3566336Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:18:19.3566795Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:18:19.3567212Z  2025-12-04T08:18:19.3567780Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T08:18:19.3568443Z  exit 0 2025-12-04T08:18:19.3568654Z fi 2025-12-04T08:18:19.3568863Z  2025-12-04T08:18:19.3569206Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T08:18:19.3569828Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T08:18:19.3570364Z  # use it as it is, but first let's extract the tag 2025-12-04T08:18:19.3570857Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T08:18:19.3571377Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:18:19.3571866Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:18:19.3572288Z else 2025-12-04T08:18:19.3572594Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T08:18:19.3572982Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T08:18:19.3573374Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T08:18:19.3573716Z  fi 2025-12-04T08:18:19.3574180Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T08:18:19.3574800Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:18:19.3575460Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:18:19.3576182Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:18:19.3576621Z fi 2025-12-04T08:18:19.3582611Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:18:19.3583002Z env: 2025-12-04T08:18:19.3583227Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:18:19.3583486Z REPO_NAME: pytorch 2025-12-04T08:18:19.3584378Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:18:19.3585223Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:18:19.3585517Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T08:18:19.3585892Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:18:19.3586305Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T08:18:19.3586604Z CUSTOM_TAG_PREFIX: 2025-12-04T08:18:19.3586837Z ##[endgroup] 2025-12-04T08:18:19.3612480Z + [[ -d .ci/docker ]] 2025-12-04T08:18:19.3612766Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T08:18:19.3613080Z + [[ true == \t\r\u\e ]] 2025-12-04T08:18:19.3613336Z + echo skip=false 2025-12-04T08:18:19.3614474Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-12-04T08:18:19.3619689Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:18:19.3620541Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T08:18:19.3702843Z + DOCKER_TAG=pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:18:19.3703665Z + echo docker-tag=pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:18:19.3705226Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:18:19.3733061Z ##[group]Run set +e 2025-12-04T08:18:19.3733369Z set +e 2025-12-04T08:18:19.3733587Z set -x 2025-12-04T08:18:19.3733808Z  2025-12-04T08:18:19.3734017Z login() { 2025-12-04T08:18:19.3734506Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:18:19.3735042Z } 2025-12-04T08:18:19.3735249Z  2025-12-04T08:18:19.3735450Z retry () { 2025-12-04T08:18:19.3735722Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:18:19.3736041Z } 2025-12-04T08:18:19.3736236Z  2025-12-04T08:18:19.3736469Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:18:19.3736783Z  2025-12-04T08:18:19.3737003Z START_TIME=$(date +%s) 2025-12-04T08:18:19.3737288Z # Wait up to 120 minutes 2025-12-04T08:18:19.3737660Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T08:18:19.3738161Z  # Check if image already exists, if it does then skip building it 2025-12-04T08:18:19.3738654Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T08:18:19.3739027Z  exit 0 2025-12-04T08:18:19.3739265Z  fi 2025-12-04T08:18:19.3739466Z  2025-12-04T08:18:19.3739854Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T08:18:19.3740545Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T08:18:19.3741229Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T08:18:19.3741752Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T08:18:19.3742163Z  # It's a Docker build job, let's build the image 2025-12-04T08:18:19.3742517Z  break 2025-12-04T08:18:19.3742752Z  else 2025-12-04T08:18:19.3743083Z  # It's a regular build job, wait for the image to become available 2025-12-04T08:18:19.3743514Z  sleep 300 2025-12-04T08:18:19.3743762Z  fi 2025-12-04T08:18:19.3743963Z done 2025-12-04T08:18:19.3744180Z  2025-12-04T08:18:19.3744532Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T08:18:19.3745104Z # be empty. The default action would be to continue rebuild the image 2025-12-04T08:18:19.3745774Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T08:18:19.3746247Z  # if we're on the base branch then use the parent commit 2025-12-04T08:18:19.3746661Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T08:18:19.3746973Z else 2025-12-04T08:18:19.3747309Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T08:18:19.3747803Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T08:18:19.3748166Z fi 2025-12-04T08:18:19.3748385Z  2025-12-04T08:18:19.3748624Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T08:18:19.3749108Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:18:19.3749536Z  2025-12-04T08:18:19.3750021Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T08:18:19.3750595Z  exit 0 2025-12-04T08:18:19.3750811Z fi 2025-12-04T08:18:19.3751026Z  2025-12-04T08:18:19.3751335Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T08:18:19.3752041Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T08:18:19.3752634Z  exit 1 2025-12-04T08:18:19.3752858Z fi 2025-12-04T08:18:19.3753115Z  2025-12-04T08:18:19.3753474Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T08:18:19.3754154Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T08:18:19.3754763Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T08:18:19.3755473Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T08:18:19.3756258Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T08:18:19.3756728Z fi 2025-12-04T08:18:19.3756943Z  2025-12-04T08:18:19.3757189Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:18:19.3762906Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:18:19.3763289Z env: 2025-12-04T08:18:19.3763507Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:18:19.3763771Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:18:19.3764120Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:18:19.3765001Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:18:19.3766017Z DOCKER_TAG: pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:18:19.3766679Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:18:19.3767077Z DOCKER_PUSH: 2025-12-04T08:18:19.3767309Z ##[endgroup] 2025-12-04T08:18:19.3791215Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:18:19.3791661Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:18:19.3794287Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:18:19.3795585Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:18:19.8822726Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:18:19.8823362Z Configure a credential helper to remove this warning. See 2025-12-04T08:18:19.8823956Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:18:19.8824419Z 2025-12-04T08:18:19.8824563Z Login Succeeded 2025-12-04T08:18:19.8837712Z ++ date +%s 2025-12-04T08:18:19.8847424Z + START_TIME=1764836299 2025-12-04T08:18:19.8850887Z ++ date +%s 2025-12-04T08:18:19.8860550Z + [[ 1764829099 -lt 1764836299 ]] 2025-12-04T08:18:19.8862314Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:18:20.1307576Z { 2025-12-04T08:18:20.1307991Z "schemaVersion": 2, 2025-12-04T08:18:20.1308818Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T08:18:20.1309569Z "config": { 2025-12-04T08:18:20.1309899Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T08:18:20.1310323Z "size": 33430, 2025-12-04T08:18:20.1310855Z "digest": "sha256:9230348e0d090da287e002774e5f183831a6591efe46e7a2cd9b593182913ca0" 2025-12-04T08:18:20.1311713Z }, 2025-12-04T08:18:20.1311912Z "layers": [ 2025-12-04T08:18:20.1312117Z { 2025-12-04T08:18:20.1312586Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1313486Z "size": 30447951, 2025-12-04T08:18:20.1313918Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T08:18:20.1314597Z }, 2025-12-04T08:18:20.1314866Z { 2025-12-04T08:18:20.1315399Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1315833Z "size": 1554, 2025-12-04T08:18:20.1316561Z "digest": "sha256:2bdc264cdc4f6c2b468a125ceee34cfe607bcf01d4c59b9d714db50c2c2dfcaf" 2025-12-04T08:18:20.1317269Z }, 2025-12-04T08:18:20.1317466Z { 2025-12-04T08:18:20.1317784Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1318216Z "size": 344035888, 2025-12-04T08:18:20.1318645Z "digest": "sha256:115cf171feabfac79566e4d2186bc524712830f75b1f7de122da0374a34097aa" 2025-12-04T08:18:20.1319126Z }, 2025-12-04T08:18:20.1319303Z { 2025-12-04T08:18:20.1319629Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1320058Z "size": 787, 2025-12-04T08:18:20.1320451Z "digest": "sha256:5b05a77115246ccbdd308930206f9a9e87375c674e9e9b4a44180ce30cf4a843" 2025-12-04T08:18:20.1320929Z }, 2025-12-04T08:18:20.1321117Z { 2025-12-04T08:18:20.1321491Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1321910Z "size": 63270230, 2025-12-04T08:18:20.1322442Z "digest": "sha256:fcd42f64ca0d7b21614aeb546be58a861067501142882d3122a953510d16df2e" 2025-12-04T08:18:20.1323220Z }, 2025-12-04T08:18:20.1323411Z { 2025-12-04T08:18:20.1323806Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1324515Z "size": 703, 2025-12-04T08:18:20.1325151Z "digest": "sha256:425e64947d6cf9847d282b38552930885c77b8243af9d743f10dce164271997a" 2025-12-04T08:18:20.1325918Z }, 2025-12-04T08:18:20.1326117Z { 2025-12-04T08:18:20.1326430Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1326854Z "size": 1216, 2025-12-04T08:18:20.1327282Z "digest": "sha256:100a3aae6100e6e6852b14febb7cddf3e5e02207fff2b64107fa85ed0584c817" 2025-12-04T08:18:20.1327755Z }, 2025-12-04T08:18:20.1327944Z { 2025-12-04T08:18:20.1328273Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1328681Z "size": 484, 2025-12-04T08:18:20.1329096Z "digest": "sha256:612b903d2bcfd678c8aa61e40eac9f1a789a3c99d27c1595e7306d8dd12b6a5a" 2025-12-04T08:18:20.1329576Z }, 2025-12-04T08:18:20.1329752Z { 2025-12-04T08:18:20.1330075Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1330491Z "size": 110, 2025-12-04T08:18:20.1330903Z "digest": "sha256:46ce886716adae830e198f2118e23831af0dcdc8dd161c2cd9bf937a74ac098d" 2025-12-04T08:18:20.1331374Z }, 2025-12-04T08:18:20.1331560Z { 2025-12-04T08:18:20.1331917Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1332322Z "size": 4961, 2025-12-04T08:18:20.1332737Z "digest": "sha256:1c8bfbaf902d1d6689201aede8d19c4be43b2d3046ec64500f6b349a94a31533" 2025-12-04T08:18:20.1333225Z }, 2025-12-04T08:18:20.1333400Z { 2025-12-04T08:18:20.1333718Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1334346Z "size": 1755, 2025-12-04T08:18:20.1334745Z "digest": "sha256:9b31e0487376858dd1886531c89ec2ef09558333cbb6e36150e2671f0bcb6566" 2025-12-04T08:18:20.1335221Z }, 2025-12-04T08:18:20.1335416Z { 2025-12-04T08:18:20.1335728Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1336150Z "size": 724, 2025-12-04T08:18:20.1336558Z "digest": "sha256:6953b231bee7ad90292e65ed676721d4139c3d2711ca31fb7c568d9264db3853" 2025-12-04T08:18:20.1337031Z }, 2025-12-04T08:18:20.1337206Z { 2025-12-04T08:18:20.1337528Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1337947Z "size": 543, 2025-12-04T08:18:20.1338345Z "digest": "sha256:3ab87ad78d73fd1c8707f47d43dbfae0107551e197b09c5492bbea5491a27355" 2025-12-04T08:18:20.1338901Z }, 2025-12-04T08:18:20.1339091Z { 2025-12-04T08:18:20.1339400Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1339821Z "size": 3185209034, 2025-12-04T08:18:20.1340247Z "digest": "sha256:8257a98b845d783ac5f82f6e6a2c1c299137ca2f035ed75606809644852965b5" 2025-12-04T08:18:20.1340811Z + exit 0 2025-12-04T08:18:20.1341008Z }, 2025-12-04T08:18:20.1341202Z { 2025-12-04T08:18:20.1341524Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1341929Z "size": 32, 2025-12-04T08:18:20.1342338Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:18:20.1342820Z }, 2025-12-04T08:18:20.1342996Z { 2025-12-04T08:18:20.1343321Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1343748Z "size": 396, 2025-12-04T08:18:20.1344147Z "digest": "sha256:b62945c9f5147e8316731de8bf18edcde223ef019d3c31bde83566211aa297bf" 2025-12-04T08:18:20.1344633Z }, 2025-12-04T08:18:20.1344826Z { 2025-12-04T08:18:20.1345138Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1345557Z "size": 104, 2025-12-04T08:18:20.1359940Z "digest": "sha256:9937844df950bb3e7024a80dde76b366d36b73b457cc9c5af6c0176a0fd089d9" 2025-12-04T08:18:20.1360731Z }, 2025-12-04T08:18:20.1360994Z { 2025-12-04T08:18:20.1361477Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1362175Z "size": 230, 2025-12-04T08:18:20.1362839Z "digest": "sha256:fbe95c3f2a7b0a3b8969e6c775740fe7f4a056a49a258549bbff2572b7cb7fa1" 2025-12-04T08:18:20.1363622Z }, 2025-12-04T08:18:20.1363891Z { 2025-12-04T08:18:20.1364440Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1365143Z "size": 2967932, 2025-12-04T08:18:20.1365852Z "digest": "sha256:9eb542f62aba3285e3eb9149bba79c513f7253983d2c3fee36228fb57d083f6b" 2025-12-04T08:18:20.1366704Z }, 2025-12-04T08:18:20.1367019Z { 2025-12-04T08:18:20.1367547Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1368265Z "size": 1471, 2025-12-04T08:18:20.1368927Z "digest": "sha256:f02e832d75f873604f010daee8c73912426db7d55ac34ae4151cd16f60661a9f" 2025-12-04T08:18:20.1369676Z }, 2025-12-04T08:18:20.1369960Z { 2025-12-04T08:18:20.1370494Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1371206Z "size": 481, 2025-12-04T08:18:20.1371893Z "digest": "sha256:3903a9ad3d766506b69cdf3bd7a8217662fc1586e049236bdbc8457bf1dec9d5" 2025-12-04T08:18:20.1372769Z }, 2025-12-04T08:18:20.1373092Z { 2025-12-04T08:18:20.1373643Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1374368Z "size": 200, 2025-12-04T08:18:20.1375020Z "digest": "sha256:a0292ad489a38663bc94bbba37af30afeb3c924a053d928485206b3d1be3f068" 2025-12-04T08:18:20.1375821Z }, 2025-12-04T08:18:20.1376146Z { 2025-12-04T08:18:20.1376700Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1377385Z "size": 607, 2025-12-04T08:18:20.1378060Z "digest": "sha256:12069b3fcf8caa6c5d0f7a3cd326c4d3a820250ba955b055cfe1aa6347ffd780" 2025-12-04T08:18:20.1379027Z }, 2025-12-04T08:18:20.1379358Z { 2025-12-04T08:18:20.1379895Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1380644Z "size": 226, 2025-12-04T08:18:20.1381375Z "digest": "sha256:2275dbef393dd1c8180cab52289bc210eadc91cf81f6e9e9a3cc3f3cbbc2016e" 2025-12-04T08:18:20.1382238Z }, 2025-12-04T08:18:20.1382555Z { 2025-12-04T08:18:20.1383099Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1383815Z "size": 829, 2025-12-04T08:18:20.1384474Z "digest": "sha256:9dbaa39228bc011ac5280e2a5bdd748d711fac4ddd088e6d56606f366fa84c92" 2025-12-04T08:18:20.1385268Z }, 2025-12-04T08:18:20.1385554Z { 2025-12-04T08:18:20.1386085Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1386972Z "size": 32, 2025-12-04T08:18:20.1387727Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:18:20.1388611Z }, 2025-12-04T08:18:20.1389061Z { 2025-12-04T08:18:20.1389633Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1390571Z "size": 104, 2025-12-04T08:18:20.1391304Z "digest": "sha256:be92a230a00ce835a9039618b577b7dd8003a7e6d57a0bc864f671f55531bf56" 2025-12-04T08:18:20.1392160Z }, 2025-12-04T08:18:20.1392473Z { 2025-12-04T08:18:20.1393047Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1393777Z "size": 1495, 2025-12-04T08:18:20.1394508Z "digest": "sha256:73deb6f0a6ab642aabe27e160ccd6c54a36d8a961df9ac0fd88fa3d2ec8a9107" 2025-12-04T08:18:20.1395413Z }, 2025-12-04T08:18:20.1395738Z { 2025-12-04T08:18:20.1396260Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1396939Z "size": 458787779, 2025-12-04T08:18:20.1397667Z "digest": "sha256:72f01d0cf7ef9a578c8fdf678db7eadc91dd5e6474542d70ac31db1a4e09730c" 2025-12-04T08:18:20.1398461Z }, 2025-12-04T08:18:20.1398752Z { 2025-12-04T08:18:20.1399297Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1399990Z "size": 164, 2025-12-04T08:18:20.1400616Z "digest": 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"sha256:42ec79e4711cd8f3a6d41b84dbd1154a9b70e562deedfd5cfa2a0d0cdcc4f7f3" 2025-12-04T08:18:20.1493059Z }, 2025-12-04T08:18:20.1493233Z { 2025-12-04T08:18:20.1493554Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1493977Z "size": 8074, 2025-12-04T08:18:20.1494383Z "digest": "sha256:92524d4de2c39bf603b93ebe6a461571a2d4cbe2a5091c770677b6777e52f2f4" 2025-12-04T08:18:20.1494863Z }, 2025-12-04T08:18:20.1495047Z { 2025-12-04T08:18:20.1495363Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1495770Z "size": 304, 2025-12-04T08:18:20.1496192Z "digest": "sha256:0ce87beece3b4eaa1ac9e2353833cefbd9ca2b05f2f62f0f2ccf5d14841d3768" 2025-12-04T08:18:20.1496669Z }, 2025-12-04T08:18:20.1496856Z { 2025-12-04T08:18:20.1497176Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1497581Z "size": 32, 2025-12-04T08:18:20.1497988Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:18:20.1498466Z }, 2025-12-04T08:18:20.1498653Z { 2025-12-04T08:18:20.1498963Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1499381Z "size": 108, 2025-12-04T08:18:20.1499795Z "digest": "sha256:ea7a8d4389fa815f978ecf87846e3c933bbea0d5030a2d2cc37b1bb8d8c1cbe3" 2025-12-04T08:18:20.1500266Z }, 2025-12-04T08:18:20.1500456Z { 2025-12-04T08:18:20.1500779Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1501194Z "size": 54145652, 2025-12-04T08:18:20.1501615Z "digest": "sha256:fd0af076fa046b12bd78498b0e41b8560d7246959edfe2f70871b35583edcfe2" 2025-12-04T08:18:20.1502087Z }, 2025-12-04T08:18:20.1502261Z { 2025-12-04T08:18:20.1502586Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:18:20.1503001Z "size": 32, 2025-12-04T08:18:20.1503399Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:18:20.1503876Z } 2025-12-04T08:18:20.1504066Z ] 2025-12-04T08:18:20.1504252Z } 2025-12-04T08:18:20.1552592Z ##[group]Run set -eux 2025-12-04T08:18:20.1553070Z set -eux 2025-12-04T08:18:20.1553817Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T08:18:20.1555939Z 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 2025-12-04T08:18:20.1568199Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:18:20.1568884Z env: 2025-12-04T08:18:20.1569226Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:18:20.1569691Z ##[endgroup] 2025-12-04T08:18:20.1604144Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T08:18:20.1604992Z + jq --raw-output .SecretString 2025-12-04T08:18:20.1606166Z + jq -r .docker_hub_readonly_token 2025-12-04T08:18:20.1607321Z + docker login --username pytorchbot --password-stdin 2025-12-04T08:18:20.7112720Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:18:20.7113455Z Configure a credential helper to remove this warning. See 2025-12-04T08:18:20.7114497Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:18:20.7114980Z 2025-12-04T08:18:20.7115087Z Login Succeeded 2025-12-04T08:18:20.7204341Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:18:20.7204732Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:18:20.7205151Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T08:18:20.7211148Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:18:20.7211542Z env: 2025-12-04T08:18:20.7211767Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:18:20.7212572Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:18:20.7213393Z ##[endgroup] 2025-12-04T08:18:20.7239875Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:18:20.7289258Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T08:18:20.7289706Z with: 2025-12-04T08:18:20.7290662Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:18:20.7291586Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:18:20.7291982Z env: 2025-12-04T08:18:20.7292180Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:18:20.7292449Z ##[endgroup] 2025-12-04T08:18:20.7311578Z ##[group]Run set -x 2025-12-04T08:18:20.7311855Z set -x 2025-12-04T08:18:20.7312078Z set +e 2025-12-04T08:18:20.7312306Z  2025-12-04T08:18:20.7312528Z login() { 2025-12-04T08:18:20.7313010Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:18:20.7313547Z } 2025-12-04T08:18:20.7313763Z  2025-12-04T08:18:20.7314015Z retry () { 2025-12-04T08:18:20.7314282Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:18:20.7314620Z } 2025-12-04T08:18:20.7314832Z  2025-12-04T08:18:20.7315072Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:18:20.7315381Z  2025-12-04T08:18:20.7315881Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T08:18:20.7316571Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T08:18:20.7316952Z  2025-12-04T08:18:20.7317164Z set -e 2025-12-04T08:18:20.7317514Z # ignore output since only exit code is used for conditional 2025-12-04T08:18:20.7318021Z # only pull docker image if it's not available locally 2025-12-04T08:18:20.7318571Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T08:18:20.7319099Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T08:18:20.7319430Z fi 2025-12-04T08:18:20.7324851Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:18:20.7325244Z env: 2025-12-04T08:18:20.7325469Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:18:20.7326240Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:18:20.7327157Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:18:20.7327559Z ##[endgroup] 2025-12-04T08:18:20.7349610Z + set +e 2025-12-04T08:18:20.7350260Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:18:20.7350732Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:18:20.7353353Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:18:20.7354109Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:18:21.2538391Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:18:21.2539077Z Configure a credential helper to remove this warning. See 2025-12-04T08:18:21.2540141Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:18:21.2540635Z 2025-12-04T08:18:21.2540731Z Login Succeeded 2025-12-04T08:18:21.2557511Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:18:21.2558603Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T08:18:21.5222947Z + IMAGE_SIZE=8075.145185470581 2025-12-04T08:18:21.5224031Z Compressed size of image in MB: 8075.145185470581 2025-12-04T08:18:21.5224727Z + echo 'Compressed size of image in MB: 8075.145185470581' 2025-12-04T08:18:21.5225539Z + set -e 2025-12-04T08:18:21.5226583Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:18:21.5353498Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:18:21.7676961Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:18:21.7678946Z pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T08:18:21.7680919Z 63e5bc7682b8: Pulling fs layer 2025-12-04T08:18:21.7681522Z 2bdc264cdc4f: Pulling fs layer 2025-12-04T08:18:21.7682052Z 115cf171feab: Pulling fs layer 2025-12-04T08:18:21.7682524Z 5b05a7711524: Pulling fs layer 2025-12-04T08:18:21.7683022Z fcd42f64ca0d: Pulling fs layer 2025-12-04T08:18:21.7683510Z 425e64947d6c: Pulling fs layer 2025-12-04T08:18:21.7683979Z 100a3aae6100: Pulling fs layer 2025-12-04T08:18:21.7684412Z 612b903d2bcf: Pulling fs layer 2025-12-04T08:18:21.7684857Z 46ce886716ad: Pulling fs layer 2025-12-04T08:18:21.7685349Z 1c8bfbaf902d: Pulling fs layer 2025-12-04T08:18:21.7685826Z 9b31e0487376: Pulling fs layer 2025-12-04T08:18:21.7686300Z 6953b231bee7: Pulling fs layer 2025-12-04T08:18:21.7686752Z fcd42f64ca0d: Waiting 2025-12-04T08:18:21.7687152Z 425e64947d6c: Waiting 2025-12-04T08:18:21.7687512Z 100a3aae6100: Waiting 2025-12-04T08:18:21.7687928Z 3ab87ad78d73: Pulling fs layer 2025-12-04T08:18:21.7688381Z 8257a98b845d: Pulling fs layer 2025-12-04T08:18:21.7688829Z 4f4fb700ef54: Pulling fs layer 2025-12-04T08:18:21.7689289Z 5b05a7711524: Waiting 2025-12-04T08:18:21.7689718Z b62945c9f514: Pulling fs layer 2025-12-04T08:18:21.7690177Z 46ce886716ad: Waiting 2025-12-04T08:18:21.7690874Z 1c8bfbaf902d: Waiting 2025-12-04T08:18:21.7691302Z 6953b231bee7: Waiting 2025-12-04T08:18:21.7691708Z 9b31e0487376: Waiting 2025-12-04T08:18:21.7692109Z 3ab87ad78d73: Waiting 2025-12-04T08:18:21.7692555Z 9937844df950: Pulling fs layer 2025-12-04T08:18:21.7693125Z fbe95c3f2a7b: Pulling fs layer 2025-12-04T08:18:21.7693485Z 612b903d2bcf: Waiting 2025-12-04T08:18:21.7693789Z 8257a98b845d: Waiting 2025-12-04T08:18:21.7694040Z 9eb542f62aba: Pulling fs layer 2025-12-04T08:18:21.7694317Z 4f4fb700ef54: Waiting 2025-12-04T08:18:21.7694557Z f02e832d75f8: Pulling fs layer 2025-12-04T08:18:21.7694835Z b62945c9f514: Waiting 2025-12-04T08:18:21.7695086Z 3903a9ad3d76: Pulling fs layer 2025-12-04T08:18:21.7695355Z a0292ad489a3: Pulling fs layer 2025-12-04T08:18:21.7695623Z 9937844df950: Waiting 2025-12-04T08:18:21.7695861Z 9eb542f62aba: Waiting 2025-12-04T08:18:21.7696090Z fbe95c3f2a7b: Waiting 2025-12-04T08:18:21.7696339Z 12069b3fcf8c: Pulling fs layer 2025-12-04T08:18:21.7696616Z f02e832d75f8: Waiting 2025-12-04T08:18:21.7696856Z 2275dbef393d: Pulling fs layer 2025-12-04T08:18:21.7697146Z 9dbaa39228bc: Pulling fs layer 2025-12-04T08:18:21.7697425Z a0292ad489a3: Waiting 2025-12-04T08:18:21.7697656Z 2275dbef393d: Waiting 2025-12-04T08:18:21.7698471Z 9dbaa39228bc: Waiting 2025-12-04T08:18:21.7698975Z be92a230a00c: Pulling fs layer 2025-12-04T08:18:21.7699476Z 73deb6f0a6ab: Pulling fs layer 2025-12-04T08:18:21.7700146Z 72f01d0cf7ef: Pulling fs layer 2025-12-04T08:18:21.7700657Z be92a230a00c: Waiting 2025-12-04T08:18:21.7701011Z 73deb6f0a6ab: Waiting 2025-12-04T08:18:21.7701352Z 0f286b2a7194: Pulling fs layer 2025-12-04T08:18:21.7701759Z 51b637823017: Pulling fs layer 2025-12-04T08:18:21.7702131Z 72f01d0cf7ef: Waiting 2025-12-04T08:18:21.7702440Z 0f286b2a7194: Waiting 2025-12-04T08:18:21.7702817Z 4a15d31ad80a: Pulling fs layer 2025-12-04T08:18:21.7703207Z ab2d7d7e8213: Pulling fs layer 2025-12-04T08:18:21.7715771Z 51b637823017: Waiting 2025-12-04T08:18:21.7716097Z 4a15d31ad80a: Waiting 2025-12-04T08:18:21.7716348Z a018f7b3679a: Pulling fs layer 2025-12-04T08:18:21.7716619Z ab2d7d7e8213: Waiting 2025-12-04T08:18:21.7716877Z 362e0dccf2f0: Pulling fs layer 2025-12-04T08:18:21.7717167Z 5953c2c159dd: Pulling fs layer 2025-12-04T08:18:21.7717437Z 21e8a9646ab6: Pulling fs layer 2025-12-04T08:18:21.7718147Z 8160cca6d225: Pulling fs layer 2025-12-04T08:18:21.7718436Z a018f7b3679a: Waiting 2025-12-04T08:18:21.7718795Z 362e0dccf2f0: Waiting 2025-12-04T08:18:21.7719050Z 1a1b1db5b49e: Pulling fs layer 2025-12-04T08:18:21.7719354Z 5953c2c159dd: Waiting 2025-12-04T08:18:21.7719592Z 21e8a9646ab6: Waiting 2025-12-04T08:18:21.7719815Z 8160cca6d225: Waiting 2025-12-04T08:18:21.7720061Z 46ee854fbdd2: Pulling fs layer 2025-12-04T08:18:21.7720347Z d2f223d0137c: Pulling fs layer 2025-12-04T08:18:21.7720604Z 1a1b1db5b49e: Waiting 2025-12-04T08:18:21.7720841Z 46ee854fbdd2: Waiting 2025-12-04T08:18:21.7721087Z 0320ff66ea89: Pulling fs layer 2025-12-04T08:18:21.7721359Z 56b9e2365b4c: Pulling fs layer 2025-12-04T08:18:21.7721636Z 8b1662227a6f: Pulling fs layer 2025-12-04T08:18:21.7721904Z 0320ff66ea89: Waiting 2025-12-04T08:18:21.7722128Z 56b9e2365b4c: Waiting 2025-12-04T08:18:21.7722370Z a57851e53817: Pulling fs layer 2025-12-04T08:18:21.7722650Z d2b76217fa98: Pulling fs layer 2025-12-04T08:18:21.7722924Z 536d15c16b43: Pulling fs layer 2025-12-04T08:18:21.7723192Z 8b1662227a6f: Waiting 2025-12-04T08:18:21.7723451Z e3bd8da1ed60: Pulling fs layer 2025-12-04T08:18:21.7723710Z a57851e53817: Waiting 2025-12-04T08:18:21.7723981Z ef7fd639bc4c: Pulling fs layer 2025-12-04T08:18:21.7724348Z d2b76217fa98: Waiting 2025-12-04T08:18:21.7724637Z 3a9bb9325d80: Pulling fs layer 2025-12-04T08:18:21.7724910Z e3bd8da1ed60: Waiting 2025-12-04T08:18:21.7725146Z 536d15c16b43: Waiting 2025-12-04T08:18:21.7725431Z 491116c1a7fa: Pulling fs layer 2025-12-04T08:18:21.7725858Z 1d63bda3c92d: Pulling fs layer 2025-12-04T08:18:21.7726326Z 2dfbb731242a: Pulling fs layer 2025-12-04T08:18:21.7726777Z 3a9bb9325d80: Waiting 2025-12-04T08:18:21.7727146Z 491116c1a7fa: Waiting 2025-12-04T08:18:21.7727546Z 41b115f8be47: Pulling fs layer 2025-12-04T08:18:21.7728022Z 7399c8cd32ca: Pulling fs layer 2025-12-04T08:18:21.7728468Z 1d63bda3c92d: Waiting 2025-12-04T08:18:21.7728856Z 2dfbb731242a: Waiting 2025-12-04T08:18:21.7729275Z 34aff6bc20c5: Pulling fs layer 2025-12-04T08:18:21.7729606Z 41b115f8be47: Waiting 2025-12-04T08:18:21.7729857Z 6eeec0cffa97: Pulling fs layer 2025-12-04T08:18:21.7730138Z 7399c8cd32ca: Waiting 2025-12-04T08:18:21.7730363Z 34aff6bc20c5: Waiting 2025-12-04T08:18:21.7730621Z c5048b347294: Pulling fs layer 2025-12-04T08:18:21.7731057Z 6eeec0cffa97: Waiting 2025-12-04T08:18:21.7731624Z 74aada1bfa72: Pulling fs layer 2025-12-04T08:18:21.7731902Z c5048b347294: Waiting 2025-12-04T08:18:21.7732142Z ef7fd639bc4c: Waiting 2025-12-04T08:18:21.7732371Z 74aada1bfa72: Waiting 2025-12-04T08:18:21.7732626Z 6bc9ed03a494: Pulling fs layer 2025-12-04T08:18:21.7732993Z 730c07fd577c: Pulling fs layer 2025-12-04T08:18:21.7733268Z 6bc9ed03a494: Waiting 2025-12-04T08:18:21.7733662Z 9fedeeb9aece: Pulling fs layer 2025-12-04T08:18:21.7733969Z 81988d624119: Pulling fs layer 2025-12-04T08:18:21.7734513Z 9fedeeb9aece: Waiting 2025-12-04T08:18:21.7734861Z d5e99f982abd: Pulling fs layer 2025-12-04T08:18:21.7735154Z 42ec79e4711c: Pulling fs layer 2025-12-04T08:18:21.7735437Z 730c07fd577c: Waiting 2025-12-04T08:18:21.7735671Z 92524d4de2c3: Pulling fs layer 2025-12-04T08:18:21.7736081Z d5e99f982abd: Waiting 2025-12-04T08:18:21.7736321Z 42ec79e4711c: Waiting 2025-12-04T08:18:21.7736561Z 0ce87beece3b: Pulling fs layer 2025-12-04T08:18:21.7736836Z 92524d4de2c3: Waiting 2025-12-04T08:18:21.7737078Z 0ce87beece3b: Waiting 2025-12-04T08:18:21.7737377Z ea7a8d4389fa: Pulling fs layer 2025-12-04T08:18:21.7737696Z fd0af076fa04: Pulling fs layer 2025-12-04T08:18:21.7737967Z 81988d624119: Waiting 2025-12-04T08:18:21.7738192Z fd0af076fa04: Waiting 2025-12-04T08:18:21.7738431Z ea7a8d4389fa: Waiting 2025-12-04T08:18:21.7738666Z d2f223d0137c: Waiting 2025-12-04T08:18:21.7738890Z 12069b3fcf8c: Waiting 2025-12-04T08:18:21.8374683Z 2bdc264cdc4f: Verifying Checksum 2025-12-04T08:18:21.8375224Z 2bdc264cdc4f: Download complete 2025-12-04T08:18:21.9294983Z 5b05a7711524: Verifying Checksum 2025-12-04T08:18:21.9295527Z 5b05a7711524: Download complete 2025-12-04T08:18:22.1258284Z 63e5bc7682b8: Verifying Checksum 2025-12-04T08:18:22.1258975Z 63e5bc7682b8: Download complete 2025-12-04T08:18:22.1997656Z 425e64947d6c: Download complete 2025-12-04T08:18:22.2773697Z 100a3aae6100: Download complete 2025-12-04T08:18:22.3445418Z 612b903d2bcf: Download complete 2025-12-04T08:18:22.4118292Z 46ce886716ad: Verifying Checksum 2025-12-04T08:18:22.4119168Z 46ce886716ad: Download complete 2025-12-04T08:18:22.5228344Z 1c8bfbaf902d: Verifying Checksum 2025-12-04T08:18:22.5228984Z 1c8bfbaf902d: Download complete 2025-12-04T08:18:22.6089280Z fcd42f64ca0d: Verifying Checksum 2025-12-04T08:18:22.6089823Z fcd42f64ca0d: Download complete 2025-12-04T08:18:22.6243143Z 9b31e0487376: Verifying Checksum 2025-12-04T08:18:22.6243696Z 9b31e0487376: Download complete 2025-12-04T08:18:22.6875861Z 6953b231bee7: Verifying Checksum 2025-12-04T08:18:22.6876457Z 6953b231bee7: Download complete 2025-12-04T08:18:22.7167707Z 3ab87ad78d73: Verifying Checksum 2025-12-04T08:18:22.7168123Z 3ab87ad78d73: Download complete 2025-12-04T08:18:22.7236792Z 4f4fb700ef54: Verifying Checksum 2025-12-04T08:18:22.7237298Z 4f4fb700ef54: Download complete 2025-12-04T08:18:22.7992209Z b62945c9f514: Verifying Checksum 2025-12-04T08:18:22.7992693Z b62945c9f514: Download complete 2025-12-04T08:18:22.8640303Z 9937844df950: Download complete 2025-12-04T08:18:22.9448363Z fbe95c3f2a7b: Verifying Checksum 2025-12-04T08:18:22.9448963Z fbe95c3f2a7b: Download complete 2025-12-04T08:18:23.0364326Z 9eb542f62aba: Verifying Checksum 2025-12-04T08:18:23.0364712Z 9eb542f62aba: Download complete 2025-12-04T08:18:23.0671101Z 63e5bc7682b8: Pull complete 2025-12-04T08:18:23.1204183Z f02e832d75f8: Download complete 2025-12-04T08:18:23.1967697Z 2bdc264cdc4f: Pull complete 2025-12-04T08:18:23.1981750Z 3903a9ad3d76: Verifying Checksum 2025-12-04T08:18:23.1982271Z 3903a9ad3d76: Download complete 2025-12-04T08:18:23.2694463Z a0292ad489a3: Verifying Checksum 2025-12-04T08:18:23.2695025Z a0292ad489a3: Download complete 2025-12-04T08:18:23.3710916Z 12069b3fcf8c: Verifying Checksum 2025-12-04T08:18:23.3711475Z 12069b3fcf8c: Download complete 2025-12-04T08:18:23.4417327Z 2275dbef393d: Verifying Checksum 2025-12-04T08:18:23.4417747Z 2275dbef393d: Download complete 2025-12-04T08:18:23.5176327Z 9dbaa39228bc: Verifying Checksum 2025-12-04T08:18:23.5176709Z 9dbaa39228bc: Download complete 2025-12-04T08:18:23.6035904Z be92a230a00c: Verifying Checksum 2025-12-04T08:18:23.6036514Z be92a230a00c: Download complete 2025-12-04T08:18:23.6769690Z 73deb6f0a6ab: Verifying Checksum 2025-12-04T08:18:23.6770296Z 73deb6f0a6ab: Download complete 2025-12-04T08:18:25.2757174Z 115cf171feab: Verifying Checksum 2025-12-04T08:18:25.2757676Z 115cf171feab: Download complete 2025-12-04T08:18:25.3752028Z 0f286b2a7194: Verifying Checksum 2025-12-04T08:18:25.3752633Z 0f286b2a7194: Download complete 2025-12-04T08:18:25.4712438Z 51b637823017: Verifying Checksum 2025-12-04T08:18:25.4713041Z 51b637823017: Download complete 2025-12-04T08:18:25.5635097Z 4a15d31ad80a: Verifying Checksum 2025-12-04T08:18:25.5635488Z 4a15d31ad80a: Download complete 2025-12-04T08:18:25.6476265Z ab2d7d7e8213: Verifying Checksum 2025-12-04T08:18:25.6476850Z ab2d7d7e8213: Download complete 2025-12-04T08:18:25.8804353Z a018f7b3679a: Verifying Checksum 2025-12-04T08:18:25.8805601Z a018f7b3679a: Download complete 2025-12-04T08:18:25.9741166Z 362e0dccf2f0: Verifying Checksum 2025-12-04T08:18:25.9741724Z 362e0dccf2f0: Download complete 2025-12-04T08:18:26.1109851Z 5953c2c159dd: Verifying Checksum 2025-12-04T08:18:26.1110305Z 5953c2c159dd: Download complete 2025-12-04T08:18:26.1826570Z 21e8a9646ab6: Download complete 2025-12-04T08:18:26.2620176Z 8160cca6d225: Download complete 2025-12-04T08:18:26.3463633Z 1a1b1db5b49e: Verifying Checksum 2025-12-04T08:18:26.3464185Z 1a1b1db5b49e: Download complete 2025-12-04T08:18:26.4107533Z 46ee854fbdd2: Verifying Checksum 2025-12-04T08:18:26.4107974Z 46ee854fbdd2: Download complete 2025-12-04T08:18:26.4756020Z d2f223d0137c: Verifying Checksum 2025-12-04T08:18:26.4756513Z d2f223d0137c: Download complete 2025-12-04T08:18:26.5492955Z 0320ff66ea89: Verifying Checksum 2025-12-04T08:18:26.5493715Z 0320ff66ea89: Download complete 2025-12-04T08:18:28.3631541Z 72f01d0cf7ef: Verifying Checksum 2025-12-04T08:18:28.3632153Z 72f01d0cf7ef: Download complete 2025-12-04T08:18:35.9414870Z 56b9e2365b4c: Verifying Checksum 2025-12-04T08:18:35.9415434Z 56b9e2365b4c: Download complete 2025-12-04T08:18:36.0255437Z a57851e53817: Download complete 2025-12-04T08:18:36.0885860Z d2b76217fa98: Verifying Checksum 2025-12-04T08:18:36.0886488Z d2b76217fa98: Download complete 2025-12-04T08:18:36.1495678Z 536d15c16b43: Verifying Checksum 2025-12-04T08:18:36.1496028Z 536d15c16b43: Download complete 2025-12-04T08:18:36.2456690Z e3bd8da1ed60: Verifying Checksum 2025-12-04T08:18:36.2457312Z e3bd8da1ed60: Download complete 2025-12-04T08:18:36.3321097Z ef7fd639bc4c: Verifying Checksum 2025-12-04T08:18:36.3321667Z ef7fd639bc4c: Download complete 2025-12-04T08:18:36.4419854Z 3a9bb9325d80: Verifying Checksum 2025-12-04T08:18:36.4420228Z 3a9bb9325d80: Download complete 2025-12-04T08:18:36.5435959Z 491116c1a7fa: Verifying Checksum 2025-12-04T08:18:36.5436381Z 491116c1a7fa: Download complete 2025-12-04T08:18:36.6175751Z 1d63bda3c92d: Download complete 2025-12-04T08:18:36.6962317Z 2dfbb731242a: Verifying Checksum 2025-12-04T08:18:36.6962905Z 2dfbb731242a: Download complete 2025-12-04T08:18:36.7500060Z 41b115f8be47: Verifying Checksum 2025-12-04T08:18:36.7500682Z 41b115f8be47: Download complete 2025-12-04T08:18:36.8293617Z 7399c8cd32ca: Verifying Checksum 2025-12-04T08:18:36.8294233Z 7399c8cd32ca: Download complete 2025-12-04T08:18:36.9197490Z 34aff6bc20c5: Verifying Checksum 2025-12-04T08:18:36.9198073Z 34aff6bc20c5: Download complete 2025-12-04T08:18:37.0214883Z 6eeec0cffa97: Verifying Checksum 2025-12-04T08:18:37.0215488Z 6eeec0cffa97: Download complete 2025-12-04T08:18:37.1043539Z c5048b347294: Download complete 2025-12-04T08:18:37.2129921Z 74aada1bfa72: Verifying Checksum 2025-12-04T08:18:37.2130383Z 74aada1bfa72: Download complete 2025-12-04T08:18:37.2803215Z 6bc9ed03a494: Verifying Checksum 2025-12-04T08:18:37.2803821Z 6bc9ed03a494: Download complete 2025-12-04T08:18:37.3474565Z 730c07fd577c: Verifying Checksum 2025-12-04T08:18:37.3475114Z 730c07fd577c: Download complete 2025-12-04T08:18:45.7838389Z 9fedeeb9aece: Verifying Checksum 2025-12-04T08:18:45.7838917Z 9fedeeb9aece: Download complete 2025-12-04T08:18:45.8807795Z 81988d624119: Verifying Checksum 2025-12-04T08:18:45.8808336Z 81988d624119: Download complete 2025-12-04T08:18:45.9612912Z d5e99f982abd: Download complete 2025-12-04T08:18:46.0459121Z 42ec79e4711c: Verifying Checksum 2025-12-04T08:18:46.0459668Z 42ec79e4711c: Download complete 2025-12-04T08:18:46.1213389Z 92524d4de2c3: Download complete 2025-12-04T08:18:46.2366989Z 0ce87beece3b: Verifying Checksum 2025-12-04T08:18:46.2367678Z 0ce87beece3b: Download complete 2025-12-04T08:18:46.3303471Z ea7a8d4389fa: Verifying Checksum 2025-12-04T08:18:46.3304004Z ea7a8d4389fa: Download complete 2025-12-04T08:18:47.7680698Z fd0af076fa04: Verifying Checksum 2025-12-04T08:18:47.7681111Z fd0af076fa04: Download complete 2025-12-04T08:18:51.9172633Z 115cf171feab: Pull complete 2025-12-04T08:18:52.1057825Z 5b05a7711524: Pull complete 2025-12-04T08:19:04.1554761Z fcd42f64ca0d: Pull complete 2025-12-04T08:19:04.3340076Z 425e64947d6c: Pull complete 2025-12-04T08:19:04.5244039Z 100a3aae6100: Pull complete 2025-12-04T08:19:04.6955381Z 612b903d2bcf: Pull complete 2025-12-04T08:19:04.7797994Z 46ce886716ad: Pull complete 2025-12-04T08:19:04.8751159Z 1c8bfbaf902d: Pull complete 2025-12-04T08:19:04.9682231Z 9b31e0487376: Pull complete 2025-12-04T08:19:05.0180904Z 6953b231bee7: Pull complete 2025-12-04T08:19:05.0496321Z 3ab87ad78d73: Pull complete 2025-12-04T08:19:18.3886651Z 8257a98b845d: Verifying Checksum 2025-12-04T08:19:18.3887162Z 8257a98b845d: Download complete 2025-12-04T08:19:26.0601322Z 8b1662227a6f: Verifying Checksum 2025-12-04T08:19:26.0601699Z 8b1662227a6f: Download complete 2025-12-04T08:20:56.1658191Z 8257a98b845d: Pull complete 2025-12-04T08:20:56.4114811Z 4f4fb700ef54: Pull complete 2025-12-04T08:20:56.4931051Z b62945c9f514: Pull complete 2025-12-04T08:20:56.5387273Z 9937844df950: Pull complete 2025-12-04T08:20:56.5709171Z fbe95c3f2a7b: Pull complete 2025-12-04T08:20:56.6687085Z 9eb542f62aba: Pull complete 2025-12-04T08:20:56.8009337Z f02e832d75f8: Pull complete 2025-12-04T08:20:56.8753242Z 3903a9ad3d76: Pull complete 2025-12-04T08:20:56.9101682Z a0292ad489a3: Pull complete 2025-12-04T08:20:56.9400901Z 12069b3fcf8c: Pull complete 2025-12-04T08:20:56.9684767Z 2275dbef393d: Pull complete 2025-12-04T08:20:56.9986489Z 9dbaa39228bc: Pull complete 2025-12-04T08:20:57.1544685Z be92a230a00c: Pull complete 2025-12-04T08:20:57.2305826Z 73deb6f0a6ab: Pull complete 2025-12-04T08:21:05.2818981Z 72f01d0cf7ef: Pull complete 2025-12-04T08:21:05.3037245Z 0f286b2a7194: Pull complete 2025-12-04T08:21:05.3249022Z 51b637823017: Pull complete 2025-12-04T08:21:05.3667723Z 4a15d31ad80a: Pull complete 2025-12-04T08:21:05.3880247Z ab2d7d7e8213: Pull complete 2025-12-04T08:21:05.6796101Z a018f7b3679a: Pull complete 2025-12-04T08:21:05.7005824Z 362e0dccf2f0: Pull complete 2025-12-04T08:21:05.7222407Z 5953c2c159dd: Pull complete 2025-12-04T08:21:05.7651883Z 21e8a9646ab6: Pull complete 2025-12-04T08:21:05.7892521Z 8160cca6d225: Pull complete 2025-12-04T08:21:05.8101524Z 1a1b1db5b49e: Pull complete 2025-12-04T08:21:05.8509655Z 46ee854fbdd2: Pull complete 2025-12-04T08:21:05.8735527Z d2f223d0137c: Pull complete 2025-12-04T08:21:05.9171005Z 0320ff66ea89: Pull complete 2025-12-04T08:21:17.8152148Z 56b9e2365b4c: Pull complete 2025-12-04T08:22:51.4099633Z 8b1662227a6f: Pull complete 2025-12-04T08:22:51.5550376Z a57851e53817: Pull complete 2025-12-04T08:22:51.6706498Z d2b76217fa98: Pull complete 2025-12-04T08:22:51.9048206Z 536d15c16b43: Pull complete 2025-12-04T08:22:52.0023733Z e3bd8da1ed60: Pull complete 2025-12-04T08:22:52.0306271Z ef7fd639bc4c: Pull complete 2025-12-04T08:22:52.1840395Z 3a9bb9325d80: Pull complete 2025-12-04T08:22:52.3600301Z 491116c1a7fa: Pull complete 2025-12-04T08:22:52.4764646Z 1d63bda3c92d: Pull complete 2025-12-04T08:22:52.7261512Z 2dfbb731242a: Pull complete 2025-12-04T08:22:52.9389469Z 41b115f8be47: Pull complete 2025-12-04T08:22:53.1159051Z 7399c8cd32ca: Pull complete 2025-12-04T08:22:53.4169299Z 34aff6bc20c5: Pull complete 2025-12-04T08:22:53.4867305Z 6eeec0cffa97: Pull complete 2025-12-04T08:22:53.7682116Z c5048b347294: Pull complete 2025-12-04T08:22:53.8564280Z 74aada1bfa72: Pull complete 2025-12-04T08:22:54.0414496Z 6bc9ed03a494: Pull complete 2025-12-04T08:22:54.1065128Z 730c07fd577c: Pull complete 2025-12-04T08:23:01.7721280Z 9fedeeb9aece: Pull complete 2025-12-04T08:23:01.9648257Z 81988d624119: Pull complete 2025-12-04T08:23:02.1106703Z d5e99f982abd: Pull complete 2025-12-04T08:23:02.2461981Z 42ec79e4711c: Pull complete 2025-12-04T08:23:02.3439863Z 92524d4de2c3: Pull complete 2025-12-04T08:23:02.4059552Z 0ce87beece3b: Pull complete 2025-12-04T08:23:02.5483934Z ea7a8d4389fa: Pull complete 2025-12-04T08:23:04.3031824Z fd0af076fa04: Pull complete 2025-12-04T08:23:04.5207667Z Digest: sha256:daf8295b144729db421f110762706d7eed0643b6b9748bedf2e37a2fcdfc4b9c 2025-12-04T08:23:04.5398658Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:23:04.5472723Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:23:04.5526755Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:23:04.5527795Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:23:04.5536077Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:23:04.5536480Z env: 2025-12-04T08:23:04.5536703Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:04.5536989Z ##[endgroup] 2025-12-04T08:23:04.7071015Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T08:23:04.7071491Z with: 2025-12-04T08:23:04.7071748Z driver-version: 580.82.07 2025-12-04T08:23:04.7072014Z env: 2025-12-04T08:23:04.7072247Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:04.7072525Z ##[endgroup] 2025-12-04T08:23:04.7108948Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:23:04.7110016Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:23:04.7116228Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:23:04.7116631Z env: 2025-12-04T08:23:04.7116865Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:04.7117131Z ##[endgroup] 2025-12-04T08:23:04.7197254Z ##[group]Run set -euo pipefail 2025-12-04T08:23:04.7197808Z set -euo pipefail 2025-12-04T08:23:04.7198310Z  2025-12-04T08:23:04.7198654Z has_gpu=false 2025-12-04T08:23:04.7199072Z devices="" 2025-12-04T08:23:04.7199453Z  2025-12-04T08:23:04.7199876Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T08:23:04.7200610Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T08:23:04.7201267Z  has_gpu=true 2025-12-04T08:23:04.7201767Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T08:23:04.7202266Z  fi 2025-12-04T08:23:04.7202601Z fi 2025-12-04T08:23:04.7202940Z  2025-12-04T08:23:04.7203286Z if [ "$has_gpu" = false ]; then 2025-12-04T08:23:04.7203965Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T08:23:04.7204641Z  has_gpu=true 2025-12-04T08:23:04.7205139Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T08:23:04.7205681Z  fi 2025-12-04T08:23:04.7206002Z fi 2025-12-04T08:23:04.7206338Z  2025-12-04T08:23:04.7206846Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T08:23:04.7207757Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T08:23:04.7208515Z  has_gpu=true 2025-12-04T08:23:04.7209015Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T08:23:04.7209591Z  fi 2025-12-04T08:23:04.7209961Z fi 2025-12-04T08:23:04.7210303Z  2025-12-04T08:23:04.7210847Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T08:23:04.7211746Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T08:23:04.7220302Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:23:04.7220950Z env: 2025-12-04T08:23:04.7221290Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:04.7221692Z ##[endgroup] 2025-12-04T08:23:04.8644031Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T08:23:04.8644458Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T08:23:04.8644864Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T08:23:04.8645551Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T08:23:04.8646048Z else 2025-12-04T08:23:04.8646336Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T08:23:04.8646709Z fi 2025-12-04T08:23:04.8652548Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:23:04.8652929Z env: 2025-12-04T08:23:04.8653164Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:04.8653451Z HAS_NVIDIA: false 2025-12-04T08:23:04.8653687Z ##[endgroup] 2025-12-04T08:23:04.8846974Z Prepare all required actions 2025-12-04T08:23:04.8986490Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T08:23:04.8986843Z with: 2025-12-04T08:23:04.8987446Z github-token: *** 2025-12-04T08:23:04.8987699Z env: 2025-12-04T08:23:04.8987917Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:04.8988212Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:04.8988484Z ##[endgroup] 2025-12-04T08:23:04.9105726Z ##[group]Run set -eux 2025-12-04T08:23:04.9106009Z set -eux 2025-12-04T08:23:04.9106468Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T08:23:04.9112492Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:23:04.9112880Z env: 2025-12-04T08:23:04.9113096Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:04.9113363Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:04.9113761Z GITHUB_TOKEN: *** 2025-12-04T08:23:04.9114002Z ##[endgroup] 2025-12-04T08:23:04.9136684Z + python3 .github/scripts/get_workflow_job_id.py 19921726337 i-04926a0630d4b7a07 2025-12-04T08:23:07.2251558Z Setting output job-id=57113020406 2025-12-04T08:23:07.2252194Z Setting output job-name=linux-jammy-py3.10-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge) 2025-12-04T08:23:07.2780883Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T08:23:07.2781674Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T08:23:07.2782698Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T08:23:07.2783579Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:23:07.2789979Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:23:07.2790590Z env: 2025-12-04T08:23:07.2790814Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:07.2791104Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:07.2791360Z JOB_ID: 57113020406 2025-12-04T08:23:07.2791788Z JOB_NAME: linux-jammy-py3.10-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge) 2025-12-04T08:23:07.2792288Z WORKFLOW_NAME: pull 2025-12-04T08:23:07.2792626Z WORKFLOW_RUN_ID: 19921726337 2025-12-04T08:23:07.2792914Z MONITOR_LOG_INTERVAL: 5 2025-12-04T08:23:07.2793208Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T08:23:07.2793524Z ##[endgroup] 2025-12-04T08:23:07.7838960Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T08:23:08.2005140Z Collecting psutil==5.9.8 2025-12-04T08:23:08.2187973Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-12-04T08:23:08.3559027Z Collecting dataclasses_json==0.6.7 2025-12-04T08:23:08.3599537Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T08:23:08.4177129Z Collecting nvidia-ml-py==11.525.84 2025-12-04T08:23:08.4216595Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T08:23:08.5362308Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T08:23:08.5401537Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T08:23:08.7337557Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T08:23:08.7379521Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T08:23:08.8477040Z Collecting packaging>=17.0 2025-12-04T08:23:08.8518991Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T08:23:08.9614957Z Collecting typing-extensions>=3.7.4 2025-12-04T08:23:08.9652947Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T08:23:09.0385852Z Collecting mypy-extensions>=0.3.0 2025-12-04T08:23:09.0425372Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T08:23:09.2553582Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T08:23:09.9181727Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-12-04T08:23:10.1709307Z Prepare all required actions 2025-12-04T08:23:10.1709740Z Getting action download info 2025-12-04T08:23:10.3510068Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:23:11.0316864Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T08:23:13.7976041Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T08:23:13.7976418Z with: 2025-12-04T08:23:13.7976659Z name: linux-jammy-py3.10-clang12 2025-12-04T08:23:13.7976978Z s3-bucket: gha-artifacts 2025-12-04T08:23:13.7977242Z env: 2025-12-04T08:23:13.7977443Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:13.7977715Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:13.7977966Z ##[endgroup] 2025-12-04T08:23:13.8062399Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T08:23:13.8062830Z with: 2025-12-04T08:23:13.8063054Z name: linux-jammy-py3.10-clang12 2025-12-04T08:23:13.8063422Z s3-bucket: gha-artifacts 2025-12-04T08:23:13.8063697Z region: us-east-1 2025-12-04T08:23:13.8063912Z env: 2025-12-04T08:23:13.8064127Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:13.8064399Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:13.8064638Z ##[endgroup] 2025-12-04T08:23:14.7239345Z (node:43372) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T08:23:14.7239887Z 2025-12-04T08:23:14.7240090Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T08:23:14.7240643Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T08:23:14.7241219Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T08:23:15.7143818Z Found 1 objects with prefix pytorch/pytorch/19921726337/linux-jammy-py3.10-clang12/ 2025-12-04T08:23:15.7144580Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T08:23:20.3339524Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T08:23:20.3345570Z Artifact download has finished successfully 2025-12-04T08:23:20.3538669Z ##[group]Run unzip -o artifacts.zip 2025-12-04T08:23:20.3539019Z unzip -o artifacts.zip 2025-12-04T08:23:20.3545034Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:23:20.3545441Z env: 2025-12-04T08:23:20.3545652Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:20.3545927Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:20.3546180Z ##[endgroup] 2025-12-04T08:23:20.3610010Z Archive: artifacts.zip 2025-12-04T08:23:20.3611011Z creating: dist/ 2025-12-04T08:23:21.5048295Z inflating: dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T08:23:21.5164126Z inflating: dist/.ninja_log 2025-12-04T08:23:21.5164749Z creating: build/custom_test_artifacts/ 2025-12-04T08:23:21.5165485Z creating: build/custom_test_artifacts/custom-op-build/ 2025-12-04T08:23:21.5166409Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-12-04T08:23:21.5167028Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-12-04T08:23:21.5169044Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-12-04T08:23:21.5170326Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/ 2025-12-04T08:23:21.5171554Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeSystem.cmake 2025-12-04T08:23:21.5172303Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/ 2025-12-04T08:23:21.5173273Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/tmp/ 2025-12-04T08:23:21.5174304Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/CMakeCCompilerId.c 2025-12-04T08:23:21.5175915Z 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build/bin/static_runtime_bench 2025-12-04T08:23:27.0100076Z inflating: build/bin/static_runtime_test 2025-12-04T08:23:27.0167496Z inflating: build/bin/Dict_test 2025-12-04T08:23:27.0217411Z inflating: build/bin/Dimname_test 2025-12-04T08:23:27.0279339Z inflating: build/bin/MaybeOwned_test 2025-12-04T08:23:27.0332846Z inflating: build/bin/NamedTensor_test 2025-12-04T08:23:27.0387469Z inflating: build/bin/apply_utils_test 2025-12-04T08:23:27.0443887Z inflating: build/bin/atest 2025-12-04T08:23:27.0504372Z inflating: build/bin/basic 2025-12-04T08:23:27.0555867Z inflating: build/bin/broadcast_test 2025-12-04T08:23:27.0605244Z inflating: build/bin/cpu_allocator_test 2025-12-04T08:23:27.0659112Z inflating: build/bin/cpu_generator_test 2025-12-04T08:23:27.0710367Z inflating: build/bin/cpu_profiling_allocator_test 2025-12-04T08:23:27.0796858Z inflating: build/bin/cpu_rng_test 2025-12-04T08:23:27.0846198Z inflating: build/bin/dlconvertor_test 2025-12-04T08:23:27.0902493Z inflating: build/bin/extension_backend_test 2025-12-04T08:23:27.0953322Z inflating: build/bin/half_test 2025-12-04T08:23:27.1043870Z inflating: build/bin/ivalue_test 2025-12-04T08:23:27.1092373Z inflating: build/bin/lazy_tensor_test 2025-12-04T08:23:27.1143117Z inflating: build/bin/math_kernel_test 2025-12-04T08:23:27.1194085Z inflating: build/bin/memory_format_test 2025-12-04T08:23:27.1244826Z inflating: build/bin/memory_overlapping_test 2025-12-04T08:23:27.1296097Z inflating: build/bin/mobile_memory_cleanup 2025-12-04T08:23:27.1349412Z inflating: build/bin/native_test 2025-12-04T08:23:27.1399129Z inflating: build/bin/operator_name_test 2025-12-04T08:23:27.1448364Z inflating: build/bin/operators_test 2025-12-04T08:23:27.1498532Z inflating: build/bin/packedtensoraccessor_test 2025-12-04T08:23:27.1563309Z inflating: build/bin/pow_test 2025-12-04T08:23:27.1617237Z inflating: build/bin/quantized_test 2025-12-04T08:23:27.1665611Z inflating: build/bin/reduce_ops_test 2025-12-04T08:23:27.1715062Z inflating: build/bin/reportMemoryUsage_test 2025-12-04T08:23:27.1769179Z inflating: build/bin/scalar_tensor_test 2025-12-04T08:23:27.1824805Z inflating: build/bin/scalar_test 2025-12-04T08:23:27.1873999Z inflating: build/bin/StorageUtils_test 2025-12-04T08:23:27.1924453Z inflating: build/bin/stride_properties_test 2025-12-04T08:23:27.2000452Z inflating: build/bin/tensor_iterator_test 2025-12-04T08:23:27.2052143Z inflating: build/bin/test_parallel 2025-12-04T08:23:27.2101241Z inflating: build/bin/thread_init_test 2025-12-04T08:23:27.2151861Z inflating: build/bin/type_ptr_test 2025-12-04T08:23:27.2210088Z inflating: build/bin/type_test 2025-12-04T08:23:27.2260190Z inflating: build/bin/undefined_tensor_test 2025-12-04T08:23:27.2308189Z inflating: build/bin/verify_api_visibility 2025-12-04T08:23:27.2373429Z inflating: build/bin/legacy_vmap_test 2025-12-04T08:23:27.2423085Z inflating: build/bin/weakref_test 2025-12-04T08:23:27.2472653Z inflating: build/bin/wrapdim_test 2025-12-04T08:23:27.2522487Z inflating: build/bin/xla_tensor_test 2025-12-04T08:23:27.2616013Z inflating: build/bin/List_test 2025-12-04T08:23:27.2672898Z inflating: build/bin/IListRef_test 2025-12-04T08:23:27.2733804Z inflating: build/bin/KernelFunction_test 2025-12-04T08:23:27.2852618Z inflating: build/bin/kernel_function_legacy_test 2025-12-04T08:23:27.2943512Z inflating: build/bin/kernel_function_test 2025-12-04T08:23:27.3064297Z inflating: build/bin/kernel_lambda_legacy_test 2025-12-04T08:23:27.3160633Z inflating: build/bin/kernel_lambda_test 2025-12-04T08:23:27.3252351Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-12-04T08:23:27.3310341Z inflating: build/bin/kernel_stackbased_test 2025-12-04T08:23:27.3358866Z inflating: build/bin/CppSignature_test 2025-12-04T08:23:27.3411257Z inflating: build/bin/backend_fallback_test 2025-12-04T08:23:27.3458945Z inflating: build/bin/op_allowlist_test 2025-12-04T08:23:27.3742738Z inflating: build/bin/op_registration_test 2025-12-04T08:23:27.3804448Z inflating: build/bin/inline_container_test 2025-12-04T08:23:27.4101416Z inflating: build/bin/test_lazy 2025-12-04T08:23:27.4151952Z inflating: build/bin/HashStoreTest 2025-12-04T08:23:27.4216570Z inflating: build/bin/ProcessGroupGlooTest 2025-12-04T08:23:27.4219822Z inflating: build/bin/example_allreduce 2025-12-04T08:23:27.4272550Z inflating: build/bin/test_dist_autograd 2025-12-04T08:23:27.5287721Z inflating: build/bin/test_jit 2025-12-04T08:23:27.5352403Z inflating: build/bin/test_cpp_rpc 2025-12-04T08:23:27.6728584Z inflating: build/bin/test_api 2025-12-04T08:23:27.6730872Z inflating: build/bin/parallel_benchmark 2025-12-04T08:23:27.6734959Z inflating: build/bin/torch_shm_manager 2025-12-04T08:23:27.6735582Z creating: .additional_ci_files/ 2025-12-04T08:23:27.6797634Z inflating: .additional_ci_files/test-times.json 2025-12-04T08:23:27.7024060Z inflating: .additional_ci_files/test-class-times.json 2025-12-04T08:23:27.7050115Z ##[group]Run rm artifacts.zip 2025-12-04T08:23:27.7050418Z rm artifacts.zip 2025-12-04T08:23:27.7056621Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:23:27.7057013Z env: 2025-12-04T08:23:27.7057224Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:27.7057498Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:27.7057751Z ##[endgroup] 2025-12-04T08:23:27.8517163Z ##[group]Run df -H 2025-12-04T08:23:27.8517440Z df -H 2025-12-04T08:23:27.8523170Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:23:27.8523560Z env: 2025-12-04T08:23:27.8523768Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:27.8524049Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:27.8524302Z ##[endgroup] 2025-12-04T08:23:27.8579540Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T08:23:27.8580076Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T08:23:27.8580423Z tmpfs 8.2G 0 8.2G 0% /dev/shm 2025-12-04T08:23:27.8580766Z tmpfs 3.3G 488k 3.3G 1% /run 2025-12-04T08:23:27.8581094Z /dev/nvme0n1p1 161G 38G 124G 24% / 2025-12-04T08:23:27.8581444Z tmpfs 8.2G 13k 8.2G 1% /tmp 2025-12-04T08:23:27.8582100Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T08:23:27.8623469Z Prepare all required actions 2025-12-04T08:23:27.8624278Z Getting action download info 2025-12-04T08:23:28.0133477Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T08:23:28.0134015Z with: 2025-12-04T08:23:28.0134226Z env: 2025-12-04T08:23:28.0134430Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:28.0134705Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:28.0134960Z ##[endgroup] 2025-12-04T08:23:28.0171585Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T08:23:28.0171934Z with: 2025-12-04T08:23:28.0172133Z name: td_results 2025-12-04T08:23:28.0172373Z s3-bucket: gha-artifacts 2025-12-04T08:23:28.0172646Z region: us-east-1 2025-12-04T08:23:28.0172860Z env: 2025-12-04T08:23:28.0173067Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:28.0173334Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:28.0173584Z ##[endgroup] 2025-12-04T08:23:28.5086562Z (node:43391) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T08:23:28.5087245Z 2025-12-04T08:23:28.5087443Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T08:23:28.5088008Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T08:23:28.5088600Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T08:23:28.6037113Z Found 1 objects with prefix pytorch/pytorch/19921726337/td_results/ 2025-12-04T08:23:28.6037945Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T08:23:28.6667709Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T08:23:28.6673001Z Artifact download has finished successfully 2025-12-04T08:23:28.6830700Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T08:23:28.6831065Z mkdir -p .additional_ci_files 2025-12-04T08:23:28.6831515Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T08:23:28.6838403Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:23:28.6838784Z env: 2025-12-04T08:23:28.6839004Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:28.6839281Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:28.6839536Z ##[endgroup] 2025-12-04T08:23:28.6978830Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T08:23:28.6979230Z .github/scripts/parse_ref.py 2025-12-04T08:23:28.6984801Z shell: /usr/bin/bash -e {0} 2025-12-04T08:23:28.6985090Z env: 2025-12-04T08:23:28.6985319Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:28.6985602Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:28.6985849Z ##[endgroup] 2025-12-04T08:23:28.7220162Z Setting output branch=main 2025-12-04T08:23:28.7367069Z Prepare all required actions 2025-12-04T08:23:28.7367472Z Getting action download info 2025-12-04T08:23:28.8894166Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T08:23:28.8894527Z with: 2025-12-04T08:23:28.8894929Z github-token: *** 2025-12-04T08:23:28.8898073Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]} 2025-12-04T08:23:28.8901412Z job-name: linux-jammy-py3.10-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge) 2025-12-04T08:23:28.8901890Z env: 2025-12-04T08:23:28.8902091Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:28.8902367Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:28.8902753Z ##[endgroup] 2025-12-04T08:23:28.8944890Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T08:23:28.8945190Z with: 2025-12-04T08:23:28.8945404Z shell: bash 2025-12-04T08:23:28.8945632Z timeout_minutes: 10 2025-12-04T08:23:28.8945880Z max_attempts: 5 2025-12-04T08:23:28.8946105Z retry_wait_seconds: 30 2025-12-04T08:23:28.8946928Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T08:23:28.8947791Z polling_interval_seconds: 1 2025-12-04T08:23:28.8948064Z warning_on_retry: true 2025-12-04T08:23:28.8948325Z continue_on_error: false 2025-12-04T08:23:28.8948580Z env: 2025-12-04T08:23:28.8948775Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:28.8949136Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:28.8949547Z GITHUB_TOKEN: *** 2025-12-04T08:23:28.8949781Z ##[endgroup] 2025-12-04T08:23:29.0025824Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T08:23:29.2429204Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T08:23:29.3536594Z Collecting requests==2.27.1 2025-12-04T08:23:29.3683234Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T08:23:29.5460408Z Collecting pyyaml==6.0.2 2025-12-04T08:23:29.5495476Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T08:23:29.5726963Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T08:23:29.6191601Z Collecting certifi>=2017.4.17 2025-12-04T08:23:29.6227365Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T08:23:30.0078146Z Collecting charset-normalizer~=2.0.0 2025-12-04T08:23:30.0114798Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T08:23:30.0153127Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T08:23:30.0977503Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T08:23:30.2091583Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T08:23:30.9803590Z Command completed after 1 attempt(s). 2025-12-04T08:23:30.9859769Z ##[group]Run set -x 2025-12-04T08:23:30.9860170Z set -x 2025-12-04T08:23:30.9860533Z  2025-12-04T08:23:30.9861425Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T08:23:30.9862273Z # in runner workspace 2025-12-04T08:23:30.9862891Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T08:23:30.9872168Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:23:30.9872864Z env: 2025-12-04T08:23:30.9873242Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:30.9873727Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:30.9874141Z ##[endgroup] 2025-12-04T08:23:30.9905513Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T08:23:31.0087358Z Setting output branch=main 2025-12-04T08:23:31.0144749Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T08:23:31.0145177Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T08:23:31.0145513Z echo "Job name: ${JOB_NAME}" 2025-12-04T08:23:31.0145816Z  2025-12-04T08:23:31.0146219Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T08:23:31.0146720Z # in runner workspace 2025-12-04T08:23:31.0147151Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T08:23:31.0147649Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T08:23:31.0148017Z  --job-name "${JOB_NAME}" \ 2025-12-04T08:23:31.0151365Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]}" \ 2025-12-04T08:23:31.0154738Z  --selected-test-configs "" \ 2025-12-04T08:23:31.0155089Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T08:23:31.0155414Z  --tag "${TAG}" \ 2025-12-04T08:23:31.0155699Z  --event-name "${EVENT_NAME}" \ 2025-12-04T08:23:31.0156038Z  --schedule "${SCHEDULE}" \ 2025-12-04T08:23:31.0156365Z  --branch "${HEAD_BRANCH}" 2025-12-04T08:23:31.0161994Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:23:31.0162385Z env: 2025-12-04T08:23:31.0162618Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:31.0162880Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:31.0163364Z GITHUB_TOKEN: *** 2025-12-04T08:23:31.0163781Z JOB_NAME: linux-jammy-py3.10-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge) 2025-12-04T08:23:31.0164263Z PR_NUMBER: 2025-12-04T08:23:31.0164469Z TAG: 2025-12-04T08:23:31.0164682Z EVENT_NAME: push 2025-12-04T08:23:31.0164919Z SCHEDULE: 2025-12-04T08:23:31.0165128Z HEAD_BRANCH: main 2025-12-04T08:23:31.0165366Z ##[endgroup] 2025-12-04T08:23:31.0187947Z Workflow: pull 2025-12-04T08:23:31.0188700Z Job name: linux-jammy-py3.10-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge) 2025-12-04T08:23:31.2450009Z Setting output keep-going=True 2025-12-04T08:23:31.2450440Z Setting output ci-verbose-test-logs=False 2025-12-04T08:23:31.2450807Z Setting output ci-test-showlocals=False 2025-12-04T08:23:31.2451156Z Setting output ci-no-test-timeout=False 2025-12-04T08:23:31.2451475Z Setting output ci-no-td=False 2025-12-04T08:23:31.2452008Z Setting output ci-td-distributed=False 2025-12-04T08:23:31.2452347Z Setting output is-unstable=False 2025-12-04T08:23:31.2452646Z Setting output reenabled-issues= 2025-12-04T08:23:31.2455909Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]} 2025-12-04T08:23:31.2459206Z Setting output is-test-matrix-empty=False 2025-12-04T08:23:31.2597217Z ##[group]Run echo "Filtered matrix:" 2025-12-04T08:23:31.2597790Z echo "Filtered matrix:" 2025-12-04T08:23:31.2603715Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]}" 2025-12-04T08:23:31.2609459Z  2025-12-04T08:23:31.2609824Z echo 2025-12-04T08:23:31.2610273Z echo "Is the current job unstable? False" 2025-12-04T08:23:31.2610857Z  2025-12-04T08:23:31.2611179Z echo 2025-12-04T08:23:31.2611595Z echo "Is keep-going label set? True" 2025-12-04T08:23:31.2612114Z  2025-12-04T08:23:31.2612437Z echo 2025-12-04T08:23:31.2612825Z echo "Reenabled issues? " 2025-12-04T08:23:31.2621618Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:23:31.2622316Z env: 2025-12-04T08:23:31.2622703Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:31.2623174Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:31.2623621Z ##[endgroup] 2025-12-04T08:23:31.2652985Z Filtered matrix: 2025-12-04T08:23:31.2656698Z {include: [{config: default, shard: 1, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 2, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 3, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 4, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 5, num_shards: 5, runner: linux.4xlarge}, {config: crossref, shard: 1, num_shards: 2, runner: linux.2xlarge}, {config: crossref, shard: 2, num_shards: 2, runner: linux.2xlarge}, {config: dynamo_wrapped, shard: 1, num_shards: 3, runner: linux.2xlarge}, {config: dynamo_wrapped, shard: 2, num_shards: 3, runner: linux.2xlarge}, {config: dynamo_wrapped, shard: 3, num_shards: 3, runner: linux.2xlarge}, {config: einops, shard: 1, num_shards: 1, runner: linux.2xlarge}, {config: openreg, shard: 1, num_shards: 1, runner: linux.2xlarge}]} 2025-12-04T08:23:31.2659866Z 2025-12-04T08:23:31.2659994Z Is the current job unstable? False 2025-12-04T08:23:31.2660220Z 2025-12-04T08:23:31.2660332Z Is keep-going label set? True 2025-12-04T08:23:31.2660527Z 2025-12-04T08:23:31.2660635Z Reenabled issues? 2025-12-04T08:23:31.2705950Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T08:23:31.2706485Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T08:23:31.2711956Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:23:31.2712338Z env: 2025-12-04T08:23:31.2712557Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:31.2712834Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:31.2713075Z JOB_TIMEOUT: 240 2025-12-04T08:23:31.2713308Z ##[endgroup] 2025-12-04T08:23:31.2764777Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:23:31.2765313Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:23:31.2765784Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:23:31.2771052Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:23:31.2771442Z env: 2025-12-04T08:23:31.2771658Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:31.2771932Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:31.2772171Z ##[endgroup] 2025-12-04T08:23:31.2870944Z ##[group]Run set -x 2025-12-04T08:23:31.2871284Z set -x 2025-12-04T08:23:31.2871508Z  2025-12-04T08:23:31.2871764Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T08:23:31.2872279Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T08:23:31.2872688Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T08:23:31.2873064Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T08:23:31.2873362Z else 2025-12-04T08:23:31.2873617Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T08:23:31.2873934Z fi 2025-12-04T08:23:31.2874132Z  2025-12-04T08:23:31.2874401Z # Leaving 1GB for the runner and other things 2025-12-04T08:23:31.2875002Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T08:23:31.2875908Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T08:23:31.2876644Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T08:23:31.2877197Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T08:23:31.2877633Z  2025-12-04T08:23:31.2877891Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T08:23:31.2878251Z  SHM_OPTS= 2025-12-04T08:23:31.2878506Z  JENKINS_USER= 2025-12-04T08:23:31.2878854Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T08:23:31.2879350Z  # if for some reason cleanup action doesn't stop container 2025-12-04T08:23:31.2879765Z  # when job is cancelled 2025-12-04T08:23:31.2880084Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T08:23:31.2880415Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T08:23:31.2880736Z else 2025-12-04T08:23:31.2880990Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T08:23:31.2881325Z  JENKINS_USER="--user jenkins" 2025-12-04T08:23:31.2881645Z  DOCKER_SHELL_CMD= 2025-12-04T08:23:31.2881941Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T08:23:31.2882233Z fi 2025-12-04T08:23:31.2882446Z  2025-12-04T08:23:31.2882789Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T08:23:31.2883341Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T08:23:31.2883962Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T08:23:31.2884519Z # shellcheck disable=SC2086,SC2090 2025-12-04T08:23:31.2884865Z container_name=$(docker run \ 2025-12-04T08:23:31.2885168Z  ${GPU_FLAG:-} \ 2025-12-04T08:23:31.2885476Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T08:23:31.2885830Z  -e BUILD_ENVIRONMENT \ 2025-12-04T08:23:31.2886132Z  -e PR_NUMBER \ 2025-12-04T08:23:31.2886405Z  -e GITHUB_ACTIONS \ 2025-12-04T08:23:31.2886702Z  -e GITHUB_REPOSITORY \ 2025-12-04T08:23:31.2887011Z  -e GITHUB_WORKFLOW \ 2025-12-04T08:23:31.2887293Z  -e GITHUB_JOB \ 2025-12-04T08:23:31.2887577Z  -e GITHUB_RUN_ID \ 2025-12-04T08:23:31.2887870Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T08:23:31.2888165Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T08:23:31.2888466Z  -e JOB_ID \ 2025-12-04T08:23:31.2888722Z  -e JOB_NAME \ 2025-12-04T08:23:31.2888984Z  -e BASE_SHA \ 2025-12-04T08:23:31.2889234Z  -e BRANCH \ 2025-12-04T08:23:31.2889485Z  -e SHA1 \ 2025-12-04T08:23:31.2889746Z  -e AWS_DEFAULT_REGION \ 2025-12-04T08:23:31.2902306Z  -e IN_WHEEL_TEST \ 2025-12-04T08:23:31.2902662Z  -e SHARD_NUMBER \ 2025-12-04T08:23:31.2902941Z  -e TEST_CONFIG \ 2025-12-04T08:23:31.2903227Z  -e NUM_TEST_SHARDS \ 2025-12-04T08:23:31.2903693Z  -e REENABLED_ISSUES \ 2025-12-04T08:23:31.2904000Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T08:23:31.2904322Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T08:23:31.2904628Z  -e TEST_SHOWLOCALS \ 2025-12-04T08:23:31.2905029Z  -e NO_TEST_TIMEOUT \ 2025-12-04T08:23:31.2905300Z  -e NO_TD \ 2025-12-04T08:23:31.2905557Z  -e TD_DISTRIBUTED \ 2025-12-04T08:23:31.2905851Z  -e PR_LABELS \ 2025-12-04T08:23:31.2906143Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T08:23:31.2906495Z  -e SCCACHE_BUCKET \ 2025-12-04T08:23:31.2906790Z  -e SCCACHE_REGION \ 2025-12-04T08:23:31.2907062Z  -e XLA_CUDA \ 2025-12-04T08:23:31.2907358Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T08:23:31.2907734Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T08:23:31.2908114Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T08:23:31.2908484Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T08:23:31.2908835Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T08:23:31.2909260Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T08:23:31.2909603Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T08:23:31.2909943Z  -e DASHBOARD_TAG \ 2025-12-04T08:23:31.2910236Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T08:23:31.2910596Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T08:23:31.2911028Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T08:23:31.2911452Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T08:23:31.2911860Z  --security-opt seccomp=unconfined \ 2025-12-04T08:23:31.2912201Z  --cap-add=SYS_PTRACE \ 2025-12-04T08:23:31.2912499Z  --ipc=host \ 2025-12-04T08:23:31.2912758Z  ${SHM_OPTS} \ 2025-12-04T08:23:31.2913003Z  --tty \ 2025-12-04T08:23:31.2913242Z  --detach \ 2025-12-04T08:23:31.2913508Z  --name="${container_name}" \ 2025-12-04T08:23:31.2913816Z  ${JENKINS_USER} \ 2025-12-04T08:23:31.2914171Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T08:23:31.2914584Z  -w /var/lib/jenkins/workspace \ 2025-12-04T08:23:31.2914915Z  "${USED_IMAGE}" \ 2025-12-04T08:23:31.2915179Z  ${DOCKER_SHELL_CMD} 2025-12-04T08:23:31.2915453Z ) 2025-12-04T08:23:31.2915796Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T08:23:31.2916206Z  2025-12-04T08:23:31.2916477Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T08:23:31.2917076Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T08:23:31.2917620Z fi 2025-12-04T08:23:31.2917821Z  2025-12-04T08:23:31.2918330Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T08:23:31.2923763Z shell: /usr/bin/bash -e {0} 2025-12-04T08:23:31.2924029Z env: 2025-12-04T08:23:31.2924249Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:23:31.2924523Z HAS_NVIDIA_GPU: false 2025-12-04T08:23:31.2924823Z BUILD_ENVIRONMENT: linux-jammy-py3.10-clang12 2025-12-04T08:23:31.2925172Z PR_NUMBER: 2025-12-04T08:23:31.2925419Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T08:23:31.2925720Z GITHUB_WORKFLOW: pull 2025-12-04T08:23:31.2925971Z GITHUB_JOB: test 2025-12-04T08:23:31.2926213Z GITHUB_RUN_ID: 19921726337 2025-12-04T08:23:31.2926490Z GITHUB_RUN_NUMBER: 384157 2025-12-04T08:23:31.2926750Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T08:23:31.2926998Z JOB_ID: 57113020406 2025-12-04T08:23:31.2927407Z JOB_NAME: linux-jammy-py3.10-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge) 2025-12-04T08:23:31.2927872Z BRANCH: main 2025-12-04T08:23:31.2928139Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:23:31.2928628Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:23:31.2928981Z TEST_CONFIG: dynamo_wrapped 2025-12-04T08:23:31.2929260Z SHARD_NUMBER: 1 2025-12-04T08:23:31.2929493Z NUM_TEST_SHARDS: 3 2025-12-04T08:23:31.2929718Z EXTRA_FLAGS: 2025-12-04T08:23:31.2930011Z OP_BENCHMARK_TESTS: 2025-12-04T08:23:31.2930260Z REENABLED_ISSUES: 2025-12-04T08:23:31.2930516Z CONTINUE_THROUGH_ERROR: True 2025-12-04T08:23:31.2930795Z VERBOSE_TEST_LOGS: False 2025-12-04T08:23:31.2931066Z TEST_SHOWLOCALS: False 2025-12-04T08:23:31.2931334Z NO_TEST_TIMEOUT: False 2025-12-04T08:23:31.2931583Z NO_TD: False 2025-12-04T08:23:31.2931812Z TD_DISTRIBUTED: False 2025-12-04T08:23:31.2932124Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T08:23:31.2932482Z SCCACHE_REGION: us-east-1 2025-12-04T08:23:31.2932750Z SHM_SIZE: 1g 2025-12-04T08:23:31.2933481Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:23:31.2934813Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:23:31.2935623Z XLA_CUDA: 2025-12-04T08:23:31.2935988Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T08:23:31.2936457Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T08:23:31.2936772Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-12-04T08:23:31.2937079Z DASHBOARD_TAG: 2025-12-04T08:23:31.2937523Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T08:23:31.2937954Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T08:23:31.2938381Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T08:23:31.2938809Z ARTIFACTS_FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.2xlarge_57113020406 2025-12-04T08:23:31.2939264Z ##[endgroup] 2025-12-04T08:23:31.2961321Z + [[ dynamo_wrapped == \m\u\l\t\i\g\p\u ]] 2025-12-04T08:23:31.2961686Z + [[ linux-jammy-py3.10-clang12 == *onnx* ]] 2025-12-04T08:23:31.2962029Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T08:23:31.2964448Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T08:23:31.3044139Z + TOTAL_AVAILABLE_MEMORY_IN_GB='14.244 ' 2025-12-04T08:23:31.3044617Z + TOTAL_MEMORY_WITH_SWAP=17 2025-12-04T08:23:31.3044983Z + [[ linux-jammy-py3.10-clang12 == *\s\3\9\0\x* ]] 2025-12-04T08:23:31.3045340Z + SHM_OPTS=--shm-size=1g 2025-12-04T08:23:31.3045614Z + JENKINS_USER='--user jenkins' 2025-12-04T08:23:31.3045886Z + DOCKER_SHELL_CMD= 2025-12-04T08:23:31.3046628Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:23:31.3052856Z +++ nproc --ignore=2 2025-12-04T08:23:31.3078302Z ++ 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_19921726337 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:23:42.6605493Z + container_name=e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T08:23:42.6606266Z + echo DOCKER_CONTAINER_ID=e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T08:23:42.6606857Z + [[ linux-jammy-py3.10-clang12 == *\s\3\9\0\x* ]] 2025-12-04T08:23:42.6612802Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T08:23:42.6615149Z + docker exec -t e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T08:23:43.2630549Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T08:23:43.7848734Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.18.0) 2025-12-04T08:23:43.7852712Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (4.12.2) 2025-12-04T08:23:43.7857571Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.13.3) 2025-12-04T08:23:43.7862697Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.8.8) 2025-12-04T08:23:43.7866381Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.1.6) 2025-12-04T08:23:43.7871051Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2025.10.0) 2025-12-04T08:23:43.7885782Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.3.0) 2025-12-04T08:23:43.8257891Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.22.4) 2025-12-04T08:23:43.8277837Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.3.0) 2025-12-04T08:23:43.8339534Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.0.3) 2025-12-04T08:23:44.2019019Z Installing collected packages: torch 2025-12-04T08:23:54.5947514Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T08:23:54.6605989Z + export TERM=vt100 2025-12-04T08:23:54.6606423Z + TERM=vt100 2025-12-04T08:23:54.6606705Z ++ dirname .ci/pytorch/test.sh 2025-12-04T08:23:54.6624664Z + source .ci/pytorch/common.sh 2025-12-04T08:23:54.6632847Z +++ dirname .ci/pytorch/common.sh 2025-12-04T08:23:54.6639330Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T08:23:54.6647194Z +++ declare -f -t trap_add 2025-12-04T08:23:54.6652367Z ++ set -ex -o pipefail 2025-12-04T08:23:54.6652955Z ++ [[ linux-jammy-py3.10-clang12 == *rocm* ]] 2025-12-04T08:23:54.6653376Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T08:23:54.6663365Z ++ dirname .ci/pytorch/test.sh 2025-12-04T08:23:54.6670321Z + source .ci/pytorch/common-build.sh 2025-12-04T08:23:54.6676662Z ++ [[ linux-jammy-py3.10-clang12 != *win-* ]] 2025-12-04T08:23:54.6682355Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T08:23:54.6689785Z +++ cd .ci/pytorch 2025-12-04T08:23:54.6690061Z +++ pwd -P 2025-12-04T08:23:54.6692425Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T08:23:54.6692856Z ++ [[ linux-jammy-py3.10-clang12 == *-pch* ]] 2025-12-04T08:23:54.6693185Z ++ which sccache 2025-12-04T08:23:54.6719180Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T08:23:54.6719545Z ++ sccache --stop-server 2025-12-04T08:23:54.6905715Z ++ true 2025-12-04T08:23:54.6906157Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T08:23:54.6928600Z ++ trap_add sccache_epilogue EXIT 2025-12-04T08:23:54.6929152Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T08:23:54.6929660Z ++ shift 2025-12-04T08:23:54.6930028Z ++ for trap_add_name in "$@" 2025-12-04T08:23:54.6934485Z ++++ trap -p EXIT 2025-12-04T08:23:54.6937874Z +++ eval 'extract_trap_cmd ' 2025-12-04T08:23:54.6938363Z ++++ extract_trap_cmd 2025-12-04T08:23:54.6938623Z ++++ printf '%s\n' '' 2025-12-04T08:23:54.6938898Z +++ printf '%s\n' sccache_epilogue 2025-12-04T08:23:54.6941316Z ++ trap -- ' 2025-12-04T08:23:54.6941668Z sccache_epilogue' EXIT 2025-12-04T08:23:54.6941915Z ++ [[ -n 1 ]] 2025-12-04T08:23:54.6942368Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T08:23:54.6943005Z Skipping sccache server initialization, setting environment variables 2025-12-04T08:23:54.6943512Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:23:54.6943814Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:23:54.6944170Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:23:54.6944691Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:23:54.6951669Z ++ export RUST_LOG=sccache::server=error 2025-12-04T08:23:54.6952045Z ++ RUST_LOG=sccache::server=error 2025-12-04T08:23:54.6952354Z ++ sccache --zero-stats 2025-12-04T08:23:54.8269392Z Statistics zeroed. 2025-12-04T08:23:54.8273046Z ++ which ccache 2025-12-04T08:23:54.8290031Z + [[ linux-jammy-py3.10-clang12 != *rocm* ]] 2025-12-04T08:23:54.8290644Z + [[ linux-jammy-py3.10-clang12 != *s390x* ]] 2025-12-04T08:23:54.8291006Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T08:23:54.8293383Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T08:23:54.8361109Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T08:23:54.8361626Z + trap_add cleanup_workspace EXIT 2025-12-04T08:23:54.8362100Z + trap_add_cmd=cleanup_workspace 2025-12-04T08:23:54.8362385Z + shift 2025-12-04T08:23:54.8362604Z + for trap_add_name in "$@" 2025-12-04T08:23:54.8368685Z +++ trap -p EXIT 2025-12-04T08:23:54.8371536Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T08:23:54.8372023Z sccache_epilogue'\'' EXIT' 2025-12-04T08:23:54.8372341Z +++ extract_trap_cmd trap -- ' 2025-12-04T08:23:54.8372823Z sccache_epilogue' EXIT 2025-12-04T08:23:54.8373243Z +++ printf '%s\n' ' 2025-12-04T08:23:54.8373645Z sccache_epilogue' 2025-12-04T08:23:54.8374032Z ++ printf '%s\n' cleanup_workspace 2025-12-04T08:23:54.8374516Z + trap -- ' 2025-12-04T08:23:54.8374928Z sccache_epilogue 2025-12-04T08:23:54.8375308Z cleanup_workspace' EXIT 2025-12-04T08:23:54.8375812Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T08:23:55.5738019Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T08:23:55.5892505Z + [[ linux-jammy-py3.10-clang12 == *cuda* ]] 2025-12-04T08:23:55.5892927Z + echo 'Environment variables:' 2025-12-04T08:23:55.5893225Z Environment variables: 2025-12-04T08:23:55.5893476Z + env 2025-12-04T08:23:55.5922310Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:23:55.5922839Z CONTINUE_THROUGH_ERROR=True 2025-12-04T08:23:55.5923281Z BUILD_ENVIRONMENT=linux-jammy-py3.10-clang12 2025-12-04T08:23:55.5923853Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T08:23:55.5924138Z HOSTNAME=e07c887ffb23 2025-12-04T08:23:55.5924736Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_21bbea3e-9366-4e88-a11d-290ebdbcd1aa 2025-12-04T08:23:55.5925399Z GITHUB_ACTION=__run_3 2025-12-04T08:23:55.5925659Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T08:23:55.5925966Z GITHUB_RUN_NUMBER=384157 2025-12-04T08:23:55.5926238Z TEST_CONFIG=dynamo_wrapped 2025-12-04T08:23:55.5926526Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T08:23:55.5926848Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T08:23:55.5927173Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:23:55.5927928Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T08:23:55.5928318Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-12-04T08:23:55.5928647Z GITHUB_REF_TYPE=branch 2025-12-04T08:23:55.5928949Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:23:55.5929403Z XLA_CUDA= 2025-12-04T08:23:55.5929635Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T08:23:55.5930049Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T08:23:55.5930501Z *** 2025-12-04T08:23:55.5930704Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T08:23:55.5930984Z GITHUB_ACTIONS=true 2025-12-04T08:23:55.5931280Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:23:55.5931668Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:23:55.5932056Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:23:55.5932580Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-12-04T08:23:55.5933054Z UCC_HOME=/usr 2025-12-04T08:23:55.5933267Z VERBOSE_TEST_LOGS=False 2025-12-04T08:23:55.5933533Z GITHUB_REF=refs/heads/main 2025-12-04T08:23:55.5933795Z SHARD_NUMBER=1 2025-12-04T08:23:55.5934069Z GITHUB_REF_PROTECTED=true 2025-12-04T08:23:55.5934320Z HOME=/var/lib/jenkins 2025-12-04T08:23:55.5934606Z GITHUB_API_URL=https://api.github.com 2025-12-04T08:23:55.5934945Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-12-04T08:23:55.5935226Z UCX_COMMIT= 2025-12-04T08:23:55.5935437Z USE_SYSTEM_NCCL=1 2025-12-04T08:23:55.5935666Z NUM_TEST_SHARDS=3 2025-12-04T08:23:55.5935877Z UCX_HOME=/usr 2025-12-04T08:23:55.5936458Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_21bbea3e-9366-4e88-a11d-290ebdbcd1aa 2025-12-04T08:23:55.5937278Z JOB_NAME=linux-jammy-py3.10-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge) 2025-12-04T08:23:55.5938063Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_21bbea3e-9366-4e88-a11d-290ebdbcd1aa 2025-12-04T08:23:55.5938897Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T08:23:55.5939419Z GITHUB_EVENT_NAME=push 2025-12-04T08:23:55.5939671Z DASHBOARD_TAG= 2025-12-04T08:23:55.5939888Z GITHUB_RUN_ID=19921726337 2025-12-04T08:23:55.5940150Z INSTALLED_OPENBLAS= 2025-12-04T08:23:55.5940781Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_21bbea3e-9366-4e88-a11d-290ebdbcd1aa 2025-12-04T08:23:55.5941490Z GITHUB_ACTOR=pytorchmergebot 2025-12-04T08:23:55.5941764Z PR_NUMBER= 2025-12-04T08:23:55.5941975Z DESIRED_CUDA= 2025-12-04T08:23:55.5942187Z GITHUB_RUN_ATTEMPT=1 2025-12-04T08:23:55.5942443Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T08:23:55.5942779Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T08:23:55.5943132Z TERM=vt100 2025-12-04T08:23:55.5943335Z INSTALLED_VISION=yes 2025-12-04T08:23:55.5943574Z BRANCH=main 2025-12-04T08:23:55.5943796Z SCCACHE_REGION=us-east-1 2025-12-04T08:23:55.5944057Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T08:23:55.5944342Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T08:23:55.5944613Z CUDA_PATH=/usr/local/cuda 2025-12-04T08:23:55.5945130Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T08:23:55.5945729Z GITHUB_SERVER_URL=https://github.com 2025-12-04T08:23:55.5946032Z UCC_COMMIT= 2025-12-04T08:23:55.5946242Z REENABLED_ISSUES= 2025-12-04T08:23:55.5946463Z DOCS= 2025-12-04T08:23:55.5946656Z SHLVL=1 2025-12-04T08:23:55.5946843Z MAX_JOBS=6 2025-12-04T08:23:55.5947058Z GITHUB_ACTOR_ID=97764156 2025-12-04T08:23:55.5947405Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:23:55.5947790Z GITHUB_REF_NAME=main 2025-12-04T08:23:55.5948168Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T08:23:55.5948606Z GITHUB_JOB=test 2025-12-04T08:23:55.5948826Z NO_TEST_TIMEOUT=False 2025-12-04T08:23:55.5949166Z TD_DISTRIBUTED=False 2025-12-04T08:23:55.5949500Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T08:23:55.5949913Z GITHUB_RETENTION_DAYS=90 2025-12-04T08:23:55.5950287Z OPENSSL_DIR=/opt/openssl 2025-12-04T08:23:55.5950756Z GITHUB_ACTION_REPOSITORY= 2025-12-04T08:23:55.5951571Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:23:55.5952480Z GITHUB_BASE_REF= 2025-12-04T08:23:55.5952714Z INSTALLED_ACL= 2025-12-04T08:23:55.5953084Z ARTIFACTS_FILE_SUFFIX=test-dynamo_wrapped-1-3-linux.2xlarge_57113020406 2025-12-04T08:23:55.5953511Z CI=true 2025-12-04T08:23:55.5953731Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T08:23:55.5954058Z RUST_LOG=sccache::server=error 2025-12-04T08:23:55.5954321Z JOB_ID=57113020406 2025-12-04T08:23:55.5954552Z GITHUB_HEAD_REF= 2025-12-04T08:23:55.5954779Z GITHUB_ACTION_REF= 2025-12-04T08:23:55.5955059Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T08:23:55.5955430Z TEST_SHOWLOCALS=False 2025-12-04T08:23:55.5955682Z GITHUB_WORKFLOW=pull 2025-12-04T08:23:55.5955947Z DEBIAN_FRONTEND=noninteractive 2025-12-04T08:23:55.5956586Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_21bbea3e-9366-4e88-a11d-290ebdbcd1aa 2025-12-04T08:23:55.5957245Z NO_TD=False 2025-12-04T08:23:55.5957476Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T08:23:55.5957773Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T08:23:55.5958090Z _=/usr/bin/env 2025-12-04T08:23:55.5958406Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T08:23:55.6089169Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-12-04T08:23:55.6090110Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T08:23:55.6091175Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-12-04T08:23:55.6092031Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-12-04T08:23:55.6092549Z + BUILD_DIR=build 2025-12-04T08:23:55.6092791Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T08:23:55.6093095Z + BUILD_BIN_DIR=build/bin 2025-12-04T08:23:55.6093375Z + SHARD_NUMBER=1 2025-12-04T08:23:55.6093597Z + NUM_TEST_SHARDS=3 2025-12-04T08:23:55.6093859Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T08:23:55.6094183Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T08:23:55.6094454Z + export VALGRIND=ON 2025-12-04T08:23:55.6094712Z + VALGRIND=ON 2025-12-04T08:23:55.6094984Z + [[ linux-jammy-py3.10-clang12 == *clang9* ]] 2025-12-04T08:23:55.6095337Z + [[ linux-jammy-py3.10-clang12 == *xpu* ]] 2025-12-04T08:23:55.6095779Z + detect_cuda_arch 2025-12-04T08:23:55.6096076Z + [[ linux-jammy-py3.10-clang12 == *cuda* ]] 2025-12-04T08:23:55.6096483Z + [[ linux-jammy-py3.10-clang12 == *s390x* ]] 2025-12-04T08:23:55.6096833Z + [[ 0 == \1 ]] 2025-12-04T08:23:55.6097055Z + [[ True == \1 ]] 2025-12-04T08:23:55.6097320Z + [[ linux-jammy-py3.10-clang12 != *bazel* ]] 2025-12-04T08:23:55.6097657Z ++ realpath build/custom_test_artifacts 2025-12-04T08:23:55.6118817Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T08:23:55.6119364Z + [[ -n '' ]] 2025-12-04T08:23:55.6119594Z + echo 'Environment variables' 2025-12-04T08:23:55.6119886Z Environment variables 2025-12-04T08:23:55.6120126Z + env 2025-12-04T08:23:55.6140660Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:23:55.6141530Z CONTINUE_THROUGH_ERROR=True 2025-12-04T08:23:55.6141987Z BUILD_ENVIRONMENT=linux-jammy-py3.10-clang12 2025-12-04T08:23:55.6142551Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T08:23:55.6142949Z HOSTNAME=e07c887ffb23 2025-12-04T08:23:55.6143537Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_21bbea3e-9366-4e88-a11d-290ebdbcd1aa 2025-12-04T08:23:55.6144196Z GITHUB_ACTION=__run_3 2025-12-04T08:23:55.6144461Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T08:23:55.6144752Z GITHUB_RUN_NUMBER=384157 2025-12-04T08:23:55.6145019Z TEST_CONFIG=dynamo_wrapped 2025-12-04T08:23:55.6145305Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T08:23:55.6145623Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T08:23:55.6146110Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:23:55.6146522Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T08:23:55.6146833Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-12-04T08:23:55.6147142Z GITHUB_REF_TYPE=branch 2025-12-04T08:23:55.6147533Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:23:55.6147876Z XLA_CUDA= 2025-12-04T08:23:55.6148091Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T08:23:55.6148583Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T08:23:55.6148899Z *** 2025-12-04T08:23:55.6149182Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T08:23:55.6149453Z GITHUB_ACTIONS=true 2025-12-04T08:23:55.6149759Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:23:55.6150166Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:23:55.6150546Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:23:55.6151073Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-12-04T08:23:55.6151549Z UCC_HOME=/usr 2025-12-04T08:23:55.6151777Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T08:23:55.6152057Z VERBOSE_TEST_LOGS=False 2025-12-04T08:23:55.6152316Z GITHUB_REF=refs/heads/main 2025-12-04T08:23:55.6152565Z SHARD_NUMBER=1 2025-12-04T08:23:55.6152797Z GITHUB_REF_PROTECTED=true 2025-12-04T08:23:55.6153063Z HOME=/var/lib/jenkins 2025-12-04T08:23:55.6153343Z GITHUB_API_URL=https://api.github.com 2025-12-04T08:23:55.6153665Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-12-04T08:23:55.6153959Z UCX_COMMIT= 2025-12-04T08:23:55.6154172Z USE_SYSTEM_NCCL=1 2025-12-04T08:23:55.6154387Z NUM_TEST_SHARDS=3 2025-12-04T08:23:55.6154619Z UCX_HOME=/usr 2025-12-04T08:23:55.6155201Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_21bbea3e-9366-4e88-a11d-290ebdbcd1aa 2025-12-04T08:23:55.6156011Z JOB_NAME=linux-jammy-py3.10-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge) 2025-12-04T08:23:55.6156809Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_21bbea3e-9366-4e88-a11d-290ebdbcd1aa 2025-12-04T08:23:55.6157651Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T08:23:55.6158167Z GITHUB_EVENT_NAME=push 2025-12-04T08:23:55.6158404Z DASHBOARD_TAG= 2025-12-04T08:23:55.6158632Z GITHUB_RUN_ID=19921726337 2025-12-04T08:23:55.6158897Z INSTALLED_OPENBLAS= 2025-12-04T08:23:55.6159516Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_21bbea3e-9366-4e88-a11d-290ebdbcd1aa 2025-12-04T08:23:55.6160253Z GITHUB_ACTOR=pytorchmergebot 2025-12-04T08:23:55.6160525Z PR_NUMBER= 2025-12-04T08:23:55.6160731Z DESIRED_CUDA= 2025-12-04T08:23:55.6160941Z GITHUB_RUN_ATTEMPT=1 2025-12-04T08:23:55.6161182Z VALGRIND=ON 2025-12-04T08:23:55.6161406Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T08:23:55.6161732Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T08:23:55.6162085Z TERM=vt100 2025-12-04T08:23:55.6162303Z INSTALLED_VISION=yes 2025-12-04T08:23:55.6162529Z BRANCH=main 2025-12-04T08:23:55.6162752Z SCCACHE_REGION=us-east-1 2025-12-04T08:23:55.6163034Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T08:23:55.6163306Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T08:23:55.6163575Z CUDA_PATH=/usr/local/cuda 2025-12-04T08:23:55.6164103Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T08:23:55.6164691Z GITHUB_SERVER_URL=https://github.com 2025-12-04T08:23:55.6164991Z UCC_COMMIT= 2025-12-04T08:23:55.6165203Z REENABLED_ISSUES= 2025-12-04T08:23:55.6165410Z DOCS= 2025-12-04T08:23:55.6165605Z SHLVL=1 2025-12-04T08:23:55.6165804Z MAX_JOBS=6 2025-12-04T08:23:55.6166008Z GITHUB_ACTOR_ID=97764156 2025-12-04T08:23:55.6166359Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:23:55.6166757Z GITHUB_REF_NAME=main 2025-12-04T08:23:55.6167138Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T08:23:55.6167566Z GITHUB_JOB=test 2025-12-04T08:23:55.6167801Z NO_TEST_TIMEOUT=False 2025-12-04T08:23:55.6168056Z TD_DISTRIBUTED=False 2025-12-04T08:23:55.6168407Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T08:23:55.6168717Z GITHUB_RETENTION_DAYS=90 2025-12-04T08:23:55.6168985Z OPENSSL_DIR=/opt/openssl 2025-12-04T08:23:55.6169245Z GITHUB_ACTION_REPOSITORY= 2025-12-04T08:23:55.6170059Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:23:55.6170970Z GITHUB_BASE_REF= 2025-12-04T08:23:55.6171190Z INSTALLED_ACL= 2025-12-04T08:23:55.6171563Z ARTIFACTS_FILE_SUFFIX=test-dynamo_wrapped-1-3-linux.2xlarge_57113020406 2025-12-04T08:23:55.6172010Z CI=true 2025-12-04T08:23:55.6172234Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T08:23:55.6172543Z RUST_LOG=sccache::server=error 2025-12-04T08:23:55.6172826Z JOB_ID=57113020406 2025-12-04T08:23:55.6173055Z GITHUB_HEAD_REF= 2025-12-04T08:23:55.6173271Z GITHUB_ACTION_REF= 2025-12-04T08:23:55.6173564Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T08:23:55.6173922Z TEST_SHOWLOCALS=False 2025-12-04T08:23:55.6174167Z GITHUB_WORKFLOW=pull 2025-12-04T08:23:55.6174428Z DEBIAN_FRONTEND=noninteractive 2025-12-04T08:23:55.6175075Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_21bbea3e-9366-4e88-a11d-290ebdbcd1aa 2025-12-04T08:23:55.6175726Z NO_TD=False 2025-12-04T08:23:55.6175956Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T08:23:55.6176262Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T08:23:55.6176562Z _=/usr/bin/env 2025-12-04T08:23:55.6176788Z + echo 'Testing pytorch' 2025-12-04T08:23:55.6177044Z Testing pytorch 2025-12-04T08:23:55.6177270Z + export LANG=C.UTF-8 2025-12-04T08:23:55.6177509Z + LANG=C.UTF-8 2025-12-04T08:23:55.6197578Z + PR_NUMBER= 2025-12-04T08:23:55.6197964Z + [[ dynamo_wrapped == \d\e\f\a\u\l\t ]] 2025-12-04T08:23:55.6198519Z + [[ dynamo_wrapped == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T08:23:55.6199061Z + [[ dynamo_wrapped == \s\l\o\w ]] 2025-12-04T08:23:55.6199548Z + [[ linux-jammy-py3.10-clang12 == *slow-gradcheck* ]] 2025-12-04T08:23:55.6200055Z + [[ linux-jammy-py3.10-clang12 == *cuda* ]] 2025-12-04T08:23:55.6200433Z + [[ linux-jammy-py3.10-clang12 == *rocm* ]] 2025-12-04T08:23:55.6200776Z + [[ linux-jammy-py3.10-clang12 == *xpu* ]] 2025-12-04T08:23:55.6201112Z + [[ dynamo_wrapped == *crossref* ]] 2025-12-04T08:23:55.6201428Z + [[ linux-jammy-py3.10-clang12 == *rocm* ]] 2025-12-04T08:23:55.6201768Z + [[ linux-jammy-py3.10-clang12 == *xpu* ]] 2025-12-04T08:23:55.6202118Z + [[ linux-jammy-py3.10-clang12 != *-bazel-* ]] 2025-12-04T08:23:55.6202448Z + pip_install ninja==1.10.2 2025-12-04T08:23:55.6202817Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T08:23:55.6203298Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T08:23:56.0706059Z Collecting ninja==1.10.2 2025-12-04T08:23:56.0922685Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T08:23:56.1010375Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T08:23:56.4729211Z Installing collected packages: ninja 2025-12-04T08:23:56.4729621Z Attempting uninstall: ninja 2025-12-04T08:23:56.4737833Z Found existing installation: ninja 1.11.1.4 2025-12-04T08:23:56.4761283Z Uninstalling ninja-1.11.1.4: 2025-12-04T08:23:56.4822977Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T08:23:56.5141051Z Successfully installed ninja-1.10.2 2025-12-04T08:23:56.5733788Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:23:56.5735862Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:23:56.5736860Z + [[ linux-jammy-py3.10-clang12 == *aarch64* ]] 2025-12-04T08:23:56.5737378Z + [[ linux-jammy-py3.10-clang12 == *asan* ]] 2025-12-04T08:23:56.5738184Z + [[ linux-jammy-py3.10-clang12 == *-debug* ]] 2025-12-04T08:23:56.5738550Z + [[ linux-jammy-py3.10-clang12 != *-bazel-* ]] 2025-12-04T08:23:56.5739149Z + echo 'We are not in debug mode: linux-jammy-py3.10-clang12. Expect the assertion to pass' 2025-12-04T08:23:56.5740017Z We are not in debug mode: linux-jammy-py3.10-clang12. Expect the assertion to pass 2025-12-04T08:23:56.5740558Z + cd test 2025-12-04T08:23:56.5740900Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T08:23:58.0133895Z + [[ dynamo_wrapped == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T08:23:58.0134679Z + [[ dynamo_wrapped == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T08:23:58.0135468Z + [[ dynamo_wrapped == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T08:23:58.0140541Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T08:23:58.0141393Z + [[ dynamo_wrapped == *pr_time_benchmarks* ]] 2025-12-04T08:23:58.0141818Z + [[ dynamo_wrapped == *dynamo_eager* ]] 2025-12-04T08:23:58.0142161Z + [[ dynamo_wrapped == *aot_eager* ]] 2025-12-04T08:23:58.0142481Z + [[ dynamo_wrapped == *aot_inductor* ]] 2025-12-04T08:23:58.0142833Z + [[ dynamo_wrapped == *max_autotune_inductor* ]] 2025-12-04T08:23:58.0143171Z + [[ dynamo_wrapped == *inductor* ]] 2025-12-04T08:23:58.0143498Z + [[ dynamo_wrapped == *dynamic* ]] 2025-12-04T08:23:58.0143806Z + [[ dynamo_wrapped == *cpu* ]] 2025-12-04T08:23:58.0144097Z + [[ dynamo_wrapped == *xpu* ]] 2025-12-04T08:23:58.0144399Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T08:23:58.0177114Z + [[ linux-jammy-py3.10-clang12 == *libtorch* ]] 2025-12-04T08:23:58.0177510Z + [[ linux-jammy-py3.10-clang12 == *-bazel-* ]] 2025-12-04T08:23:58.0180597Z + cd test 2025-12-04T08:23:58.0181125Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T08:23:59.1537390Z PyTorch built with: 2025-12-04T08:23:59.1537689Z - GCC 4.2 2025-12-04T08:23:59.1537899Z - C++ Version: 201703 2025-12-04T08:23:59.1538154Z - clang 12.0.1 2025-12-04T08:23:59.1538735Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T08:23:59.1539473Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T08:23:59.1539905Z - OpenMP 201811 2025-12-04T08:23:59.1540195Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T08:23:59.1540524Z - NNPACK is enabled 2025-12-04T08:23:59.1540790Z - CPU capability usage: AVX512 2025-12-04T08:23:59.1546309Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wsuggest-override -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=old-style-cast -Wconstant-conversion -Qunused-arguments -faligned-new -Werror -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-12-04T08:23:59.1552058Z 2025-12-04T08:23:59.4052039Z + cd test 2025-12-04T08:23:59.4052485Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T08:24:00.5374031Z ATen/Parallel: 2025-12-04T08:24:00.5374507Z at::get_num_threads() : 4 2025-12-04T08:24:00.5375305Z at::get_num_interop_threads() : 4 2025-12-04T08:24:00.5375743Z OpenMP 201811 2025-12-04T08:24:00.5376063Z omp_get_max_threads() : 4 2025-12-04T08:24:00.5376916Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T08:24:00.5377990Z mkl_get_max_threads() : 4 2025-12-04T08:24:00.5378535Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T08:24:00.5379186Z std::thread::hardware_concurrency() : 8 2025-12-04T08:24:00.5379653Z Environment variables: 2025-12-04T08:24:00.5380011Z OMP_NUM_THREADS : [not set] 2025-12-04T08:24:00.5380406Z MKL_NUM_THREADS : [not set] 2025-12-04T08:24:00.5380807Z ATen parallel backend: OpenMP 2025-12-04T08:24:00.5381074Z 2025-12-04T08:24:00.7728508Z + [[ dynamo_wrapped == *numpy_2* ]] 2025-12-04T08:24:00.7729041Z + [[ linux-jammy-py3.10-clang12 == *aarch64* ]] 2025-12-04T08:24:00.7729625Z + [[ dynamo_wrapped == *backward* ]] 2025-12-04T08:24:00.7730046Z + [[ dynamo_wrapped == *libtorch_agnostic_targetting* ]] 2025-12-04T08:24:00.7730422Z + [[ dynamo_wrapped == *xla* ]] 2025-12-04T08:24:00.7730715Z + [[ dynamo_wrapped == *vllm* ]] 2025-12-04T08:24:00.7731030Z + [[ dynamo_wrapped == *executorch* ]] 2025-12-04T08:24:00.7731369Z + [[ dynamo_wrapped == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T08:24:00.7731728Z + [[ dynamo_wrapped == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T08:24:00.7732108Z + [[ linux-jammy-py3.10-clang12 == *libtorch* ]] 2025-12-04T08:24:00.7732467Z + [[ dynamo_wrapped == distributed ]] 2025-12-04T08:24:00.7732794Z + [[ dynamo_wrapped == *operator_benchmark* ]] 2025-12-04T08:24:00.7733173Z + [[ dynamo_wrapped == *operator_microbenchmark* ]] 2025-12-04T08:24:00.7733581Z + [[ dynamo_wrapped == *attention_microbenchmark* ]] 2025-12-04T08:24:00.7733957Z + [[ dynamo_wrapped == *inductor_distributed* ]] 2025-12-04T08:24:00.7734324Z + [[ dynamo_wrapped == *inductor-halide* ]] 2025-12-04T08:24:00.7734821Z + [[ dynamo_wrapped == *inductor-pallas* ]] 2025-12-04T08:24:00.7735350Z + [[ dynamo_wrapped == *inductor-triton-cpu* ]] 2025-12-04T08:24:00.7735799Z + [[ dynamo_wrapped == *inductor-micro-benchmark* ]] 2025-12-04T08:24:00.7736278Z + [[ dynamo_wrapped == *aoti_cross_compile_for_windows* ]] 2025-12-04T08:24:00.7736666Z + [[ dynamo_wrapped == *huggingface* ]] 2025-12-04T08:24:00.7737040Z + [[ dynamo_wrapped == *timm* ]] 2025-12-04T08:24:00.7737342Z + [[ dynamo_wrapped == cachebench ]] 2025-12-04T08:24:00.7737682Z + [[ dynamo_wrapped == verify_cachebench ]] 2025-12-04T08:24:00.7738048Z + [[ dynamo_wrapped == *torchbench* ]] 2025-12-04T08:24:00.7738391Z + [[ dynamo_wrapped == *inductor_cpp_wrapper* ]] 2025-12-04T08:24:00.7738804Z + [[ dynamo_wrapped == *inductor_core* ]] 2025-12-04T08:24:00.7739119Z + [[ dynamo_wrapped == *inductor* ]] 2025-12-04T08:24:00.7739487Z + [[ dynamo_wrapped == *einops* ]] 2025-12-04T08:24:00.7739815Z + [[ dynamo_wrapped == *dynamo_core* ]] 2025-12-04T08:24:00.7740185Z + [[ dynamo_wrapped == *dynamo_wrapped* ]] 2025-12-04T08:24:00.7740506Z + install_torchvision 2025-12-04T08:24:00.7740805Z + local orig_preload 2025-12-04T08:24:00.7741057Z + local commit 2025-12-04T08:24:00.7741280Z ++ get_pinned_commit vision 2025-12-04T08:24:00.7741627Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T08:24:00.7768015Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:24:00.7768421Z + orig_preload= 2025-12-04T08:24:00.7768695Z + '[' -n '' ']' 2025-12-04T08:24:00.7768954Z + [[ linux-jammy-py3.10-clang12 == *cuda* ]] 2025-12-04T08:24:00.7769634Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T08:24:00.7770549Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:24:00.7771257Z + local wheel_dir=dist/vision 2025-12-04T08:24:00.7771578Z + local found_whl=0 2025-12-04T08:24:00.7771851Z + for file in "${wheel_dir}"/*.whl 2025-12-04T08:24:00.7772214Z + [[ -f dist/vision/*.whl ]] 2025-12-04T08:24:00.7772519Z + '[' 0 == 0 ']' 2025-12-04T08:24:00.7773463Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:24:01.0890011Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:24:01.0895167Z Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-wy4c3jzu 2025-12-04T08:24:01.1071269Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-wy4c3jzu 2025-12-04T08:24:02.9339734Z Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e' 2025-12-04T08:24:02.9361862Z Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:24:03.0480802Z Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:24:04.7392924Z Preparing metadata (pyproject.toml) ... [?25l- \ done 2025-12-04T08:24:04.7426962Z [?25hBuilding wheels for collected packages: torchvision 2025-12-04T08:25:40.4493232Z Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done 2025-12-04T08:25:40.4533734Z [?25h Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1162542 sha256=4dfacae490a8c10a51399937c3a0f1745c9c876951211fd5a6b5166d3db4d713 2025-12-04T08:25:40.4536515Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac 2025-12-04T08:25:40.4572797Z Successfully built torchvision 2025-12-04T08:25:40.5338101Z + for file in "${wheel_dir}"/*.whl 2025-12-04T08:25:40.5338710Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T08:25:40.5339445Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl') 2025-12-04T08:25:40.5339924Z + local args 2025-12-04T08:25:40.5340323Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-12-04T08:25:40.5340850Z + for path in "${args[@]}" 2025-12-04T08:25:40.5341341Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl' 2025-12-04T08:25:40.5342058Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T08:25:40.5342858Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T08:25:40.8772737Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T08:25:40.8875416Z Installing collected packages: torchvision 2025-12-04T08:25:41.3245767Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T08:25:41.3614422Z + '[' -n '' ']' 2025-12-04T08:25:41.3614699Z + test_dynamo_wrapped_shard 1 2025-12-04T08:25:41.3614990Z + [[ -z 3 ]] 2025-12-04T08:25:41.3615238Z + python tools/dynamo/verify_dynamo.py 2025-12-04T08:25:42.5251890Z Python version: 3.10.14 2025-12-04T08:25:42.5252424Z `torch` version: 2.10.0a0+gitffd9b0f 2025-12-04T08:25:42.5253000Z CUDA version: None 2025-12-04T08:25:42.5253387Z ROCM version: None 2025-12-04T08:25:42.5253635Z 2025-12-04T08:25:44.6304487Z CUDA not available -- skipping CUDA check on eager backend 2025-12-04T08:25:44.6305017Z 2025-12-04T08:25:45.3999216Z CUDA not available -- skipping CUDA check on aot_eager backend 2025-12-04T08:25:45.3999785Z 2025-12-04T08:26:07.4976943Z CUDA not available -- skipping CUDA check on inductor backend 2025-12-04T08:26:07.4978244Z 2025-12-04T08:26:07.4978775Z All required checks passed 2025-12-04T08:26:08.6366669Z + 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 2025-12-04T08:26:14.1325378Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T08:26:14.1914864Z Ignoring disabled issues: [''] 2025-12-04T08:26:14.2018099Z Found test times from artifacts 2025-12-04T08:26:14.2404912Z Found test times from artifacts 2025-12-04T08:26:14.2417417Z Running all tests 2025-12-04T08:26:14.2650249Z Running parallel tests on 3 processes 2025-12-04T08:26:14.2656265Z Name: tests to run (est. time: 91.14min) 2025-12-04T08:26:14.2656908Z Serial tests (41): 2025-12-04T08:26:14.2657219Z dynamo/test_fake_distributed 1/1 2025-12-04T08:26:14.2657510Z test_torch 1/1 2025-12-04T08:26:14.2657759Z test_python_dispatch 1/1 2025-12-04T08:26:14.2658280Z test_tensor_creation_ops 1/1 2025-12-04T08:26:14.2658743Z test_nn 2/3 2025-12-04T08:26:14.2658990Z test_multiprocessing_spawn 1/1 2025-12-04T08:26:14.2659319Z nn/test_pooling 1/1 2025-12-04T08:26:14.2659563Z test_overrides 1/1 2025-12-04T08:26:14.2659813Z test_reductions 1/2 2025-12-04T08:26:14.2660068Z test_reductions 2/2 2025-12-04T08:26:14.2660313Z test_spectral_ops 1/1 2025-12-04T08:26:14.2660605Z doctests 1/1 2025-12-04T08:26:14.2660843Z test_sort_and_select 1/1 2025-12-04T08:26:14.2661146Z test_privateuseone_python_backend 1/1 2025-12-04T08:26:14.2661466Z test_cpp_api_parity 1/1 2025-12-04T08:26:14.2661744Z test_extension_utils 1/1 2025-12-04T08:26:14.2662022Z test_show_pickle 1/1 2025-12-04T08:26:14.2662270Z test_tensorexpr 1/1 2025-12-04T08:26:14.2662547Z test_namedtuple_return_api 1/1 2025-12-04T08:26:14.2662854Z test_fake_tensor 1/1 2025-12-04T08:26:14.2663114Z test_multiprocessing 1/1 2025-12-04T08:26:14.2663402Z test_autograd_fallback 1/1 2025-12-04T08:26:14.2663680Z test_autocast 1/1 2025-12-04T08:26:14.2663938Z test_jit_disabled 1/1 2025-12-04T08:26:14.2664223Z test_cpp_extensions_mtia_backend 1/1 2025-12-04T08:26:14.2664582Z functorch/test_memory_efficient_fusion 1/1 2025-12-04T08:26:14.2664949Z test_cpp_extensions_stream_and_event 1/1 2025-12-04T08:26:14.2665263Z test_dispatch 1/1 2025-12-04T08:26:14.2665528Z nn/test_convolution 1/1 2025-12-04T08:26:14.2665814Z test_cpp_extensions_jit 1/1 2025-12-04T08:26:14.2666082Z test_cuda_trace 1/1 2025-12-04T08:26:14.2666358Z test_native_mha 1/1 2025-12-04T08:26:14.2666624Z test_cuda_nvml_based_avail 1/1 2025-12-04T08:26:14.2666931Z test_mobile_optimizer 1/1 2025-12-04T08:26:14.2667205Z test_cuda_primary_ctx 1/1 2025-12-04T08:26:14.2667510Z distributions/test_distributions 1/2 2025-12-04T08:26:14.2667851Z distributions/test_distributions 2/2 2025-12-04T08:26:14.2668163Z test_autoload_disable 1/1 2025-12-04T08:26:14.2668447Z test_autoload_enable 1/1 2025-12-04T08:26:14.2668737Z test_cpp_extensions_aot_ninja 1/1 2025-12-04T08:26:14.2669135Z test_cpp_extensions_aot_no_ninja 1/1 2025-12-04T08:26:14.2669464Z Parallel tests (38): 2025-12-04T08:26:14.2669760Z dynamo/test_dynamic_shapes 1/1 2025-12-04T08:26:14.2670056Z dynamo/test_functions 1/1 2025-12-04T08:26:14.2670410Z dynamo/test_sets 1/1 2025-12-04T08:26:14.2670713Z dynamo/test_after_aot 1/1 2025-12-04T08:26:14.2670987Z dynamo/test_unspec 1/1 2025-12-04T08:26:14.2671302Z dynamo/test_exc 1/1 2025-12-04T08:26:14.2671580Z dynamo/test_fx_passes_pre_grad 1/1 2025-12-04T08:26:14.2671898Z dynamo/test_base_output 1/1 2025-12-04T08:26:14.2672184Z dynamo/test_fx_graph_runnable 1/1 2025-12-04T08:26:14.2672496Z dynamo/test_sdpa 1/1 2025-12-04T08:26:14.2672765Z dynamo/test_skip_non_tensor 1/1 2025-12-04T08:26:14.2673064Z dynamo/test_buffers_override 1/1 2025-12-04T08:26:14.2673373Z dynamo/test_aot_autograd 1/1 2025-12-04T08:26:14.2673670Z dynamo/test_fx_annotate 1/1 2025-12-04T08:26:14.2673994Z dynamo/test_metrics_context 1/1 2025-12-04T08:26:14.2674407Z dynamo/test_global 1/1 2025-12-04T08:26:14.2675410Z dynamo/test_streams 1/1 2025-12-04T08:26:14.2675687Z dynamo/test_cudagraphs 1/1 2025-12-04T08:26:14.2675979Z dynamo/test_compile 1/1 2025-12-04T08:26:14.2676257Z dynamo/test_resume 1/1 2025-12-04T08:26:14.2676650Z dynamo/test_backward_higher_order_ops 1/1 2025-12-04T08:26:14.2676996Z dynamo/test_debug_utils 1/1 2025-12-04T08:26:14.2677285Z dynamo/test_package 1/1 2025-12-04T08:26:14.2677598Z dynamo/test_wrap_inductor_compiled_regions 1/1 2025-12-04T08:26:14.2677973Z dynamo/test_aot_autograd_cache 1/1 2025-12-04T08:26:14.2678296Z dynamo/test_compiler_bisector 1/1 2025-12-04T08:26:14.2678613Z dynamo/test_error_messages 1/1 2025-12-04T08:26:14.2678910Z dynamo/test_guard_manager 1/1 2025-12-04T08:26:14.2679219Z dynamo/test_precompile_context 1/1 2025-12-04T08:26:14.2679539Z dynamo/test_reorder_logs 1/1 2025-12-04T08:26:14.2679823Z dynamo/test_python_autograd 1/1 2025-12-04T08:26:14.2680143Z test_appending_byte_serializer 1/1 2025-12-04T08:26:14.2680462Z test_matmul_cuda 1/1 2025-12-04T08:26:14.2680712Z xpu/test_conv 1/1 2025-12-04T08:26:14.2680974Z test_cuda_expandable_segments 1/1 2025-12-04T08:26:14.2681286Z optim/test_swa_utils 1/1 2025-12-04T08:26:14.2681558Z optim/test_optim 1/1 2025-12-04T08:26:14.2681820Z test_unary_ufuncs 2/2 2025-12-04T08:26:14.2682094Z Name: excluded (est. time: 0.0min) 2025-12-04T08:26:14.2682373Z Serial tests (0): 2025-12-04T08:26:14.2682613Z Parallel tests (0): 2025-12-04T08:26:14.2683053Z Running dynamo/test_fake_distributed 1/1 ... [2025-12-04 08:26:14.266923][913.897886274] 2025-12-04T08:26:14.2683662Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:26:14.2684763Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fake_distributed.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 08:26:14.267350] 2025-12-04T08:26:17.2944918Z 2025-12-04T08:26:17.2946291Z dynamo/test_fake_distributed 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fake_distributed_1.1_4a5b0a731916342c_.log 2025-12-04T08:26:17.2947187Z 2025-12-04T08:26:17.2947531Z Finished dynamo/test_fake_distributed 1/1 ... [2025-12-04 08:26:17.294240][916.925201901], took 0.05min 2025-12-04T08:26:17.6934741Z Uploading artifacts took 0.40 seconds 2025-12-04T08:26:17.6939564Z Running test_torch 1/1 ... [2025-12-04 08:26:17.693742][917.324703089] 2025-12-04T08:26:17.6940248Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:26:17.6945164Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 08:26:17.694188] 2025-12-04T08:34:29.7270291Z 2025-12-04T08:34:29.7271300Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_9f458848a6ae5283_.log 2025-12-04T08:34:29.7575206Z Running 953 items in this shard: test/test_torch.py::TestBasicVitalSigns::test_basic_vitals, test/test_torch.py::TestBasicVitalSigns::test_basic_vitals_read_write, test/test_torch.py::TestBasicVitalSigns::test_dataloader_vitals, test/test_torch.py::TestTorch::test_RNGState, test/test_torch.py::TestTorch::test_RNGStateAliasing, test/test_torch.py::TestTorch::test_RNG_after_pickle, test/test_torch.py::TestTorch::test_Size, test/test_torch.py::TestTorch::test_Size_concat_non_tuple_sequence, test/test_torch.py::TestTorch::test_Size_concat_wildcard, test/test_torch.py::TestTorch::test_Size_iter, test/test_torch.py::TestTorch::test_Size_scalar, test/test_torch.py::TestTorch::test_add_meta_scalar, test/test_torch.py::TestTorch::test_allow_tensor_metadata_change, test/test_torch.py::TestTorch::test_apply, test/test_torch.py::TestTorch::test_as_subclass, test/test_torch.py::TestTorch::test_assert_async, test/test_torch.py::TestTorch::test_backward_hooks_traverse, test/test_torch.py::TestTorch::test_batch_norm_cpu_inference, test/test_torch.py::TestTorch::test_bf16_supported_on_cpu, test/test_torch.py::TestTorch::test_bmm_multithreaded, test/test_torch.py::TestTorch::test_boxMullerState, test/test_torch.py::TestTorch::test_cat_neg_dim, test/test_torch.py::TestTorch::test_check, test/test_torch.py::TestTorch::test_chunk_neg_dim, test/test_torch.py::TestTorch::test_conj_neg_tolist, test/test_torch.py::TestTorch::test_conj_physical_meta_stride, test/test_torch.py::TestTorch::test_contains, test/test_torch.py::TestTorch::test_copy_broadcast, test/test_torch.py::TestTorch::test_copy_dtypes, test/test_torch.py::TestTorch::test_copy_float16, test/test_torch.py::TestTorch::test_copy_many_to_one, test/test_torch.py::TestTorch::test_copy_transpose, test/test_torch.py::TestTorch::test_cuda_not_built, test/test_torch.py::TestTorch::test_cummax_neg_dim, test/test_torch.py::TestTorch::test_cummin_neg_dim, test/test_torch.py::TestTorch::test_cumprod_neg_dim, test/test_torch.py::TestTorch::test_cumsum_neg_dim, test/test_torch.py::TestTorch::test_cxx_flags, test/test_torch.py::TestTorch::test_data_ptr_of_empty_tensor_with_storage, test/test_torch.py::TestTorch::test_data_ptr_of_empty_view_with_storage, test/test_torch.py::TestTorch::test_deepcopy_gradient, test/test_torch.py::TestTorch::test_deepcopy_parameter, test/test_torch.py::TestTorch::test_deterministic_fill_uninitialized_memory, test/test_torch.py::TestTorch::test_deterministic_flag, test/test_torch.py::TestTorch::test_device, test/test_torch.py::TestTorch::test_dim_order, test/test_torch.py::TestTorch::test_dir, test/test_torch.py::TestTorch::test_doc, test/test_torch.py::TestTorch::test_doc_template, test/test_torch.py::TestTorch::test_dot_data_use, test/test_torch.py::TestTorch::test_dtype_is_signed, test/test_torch.py::TestTorch::test_element_size, test/test_torch.py::TestTorch::test_empty_meta, test/test_torch.py::TestTorch::test_empty_storage_view, test/test_torch.py::TestTorch::test_equal, test/test_torch.py::TestTorch::test_error_msg_type_translation, test/test_torch.py::TestTorch::test_fill_diagonal, test/test_torch.py::TestTorch::test_format_scalar_meta, test/test_torch.py::TestTorch::test_from_buffer, test/test_torch.py::TestTorch::test_from_file, test/test_torch.py::TestTorch::test_gather_neg_dim, test/test_torch.py::TestTorch::test_generator_cpu, test/test_torch.py::TestTorch::test_get_cpu_capability, test/test_torch.py::TestTorch::test_has_internal_overlap, test/test_torch.py::TestTorch::test_has_storage, test/test_torch.py::TestTorch::test_index_add, test/test_torch.py::TestTorch::test_index_add_all_dtypes, test/test_torch.py::TestTorch::test_index_add_cornercase, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_neg_dim, test/test_torch.py::TestTorch::test_index_copy_neg_dim, test/test_torch.py::TestTorch::test_index_fill_neg_dim, test/test_torch.py::TestTorch::test_index_select_neg_dim, test/test_torch.py::TestTorch::test_invalid_arg_error_handling, test/test_torch.py::TestTorch::test_invalid_generator_raises, test/test_torch.py::TestTorch::test_is_nonzero, test/test_torch.py::TestTorch::test_is_same_size, test/test_torch.py::TestTorch::test_iter, test/test_torch.py::TestTorch::test_kthvalue_neg_dim, test/test_torch.py::TestTorch::test_linspace_logspace, test/test_torch.py::TestTorch::test_logcumsumexp_neg_dim, test/test_torch.py::TestTorch::test_manual_seed, test/test_torch.py::TestTorch::test_map, test/test_torch.py::TestTorch::test_map2, test/test_torch.py::TestTorch::test_max_neg_dim, test/test_torch.py::TestTorch::test_mean_neg_dim, test/test_torch.py::TestTorch::test_median_neg_dim, test/test_torch.py::TestTorch::test_memory_format, test/test_torch.py::TestTorch::test_memory_format_contiguous_returns_same_tensor_if_already_satisfies, test/test_torch.py::TestTorch::test_memory_format_empty, test/test_torch.py::TestTorch::test_min_neg_dim, test/test_torch.py::TestTorch::test_mode_neg_dim, test/test_torch.py::TestTorch::test_multinomial_invalid_probs, test/test_torch.py::TestTorch::test_nanmedian_neg_dim, test/test_torch.py::TestTorch::test_narrow_neg_dim, test/test_torch.py::TestTorch::test_nbytes, test/test_torch.py::TestTorch::test_ndim, test/test_torch.py::TestTorch::test_new, test/test_torch.py::TestTorch::test_newaxis_numpy_comparison, test/test_torch.py::TestTorch::test_newindex, test/test_torch.py::TestTorch::test_no_cuda_monkeypatch, test/test_torch.py::TestTorch::test_norm_neg_dim, test/test_torch.py::TestTorch::test_normal_shape, test/test_torch.py::TestTorch::test_numel, test/test_torch.py::TestTorch::test_parallel_info, test/test_torch.py::TestTorch::test_parsing_double, test/test_torch.py::TestTorch::test_parsing_int64, test/test_torch.py::TestTorch::test_parsing_intlist, test/test_torch.py::TestTorch::test_permute, test/test_torch.py::TestTorch::test_pickle, test/test_torch.py::TestTorch::test_pickle_dtype, test/test_torch.py::TestTorch::test_pickle_function, test/test_torch.py::TestTorch::test_pickle_generator, test/test_torch.py::TestTorch::test_pickle_parameter, test/test_torch.py::TestTorch::test_pickle_parameter_no_requires_grad, test/test_torch.py::TestTorch::test_pickle_size, test/test_torch.py::TestTorch::test_pin_memory, test/test_torch.py::TestTorch::test_print, test/test_torch.py::TestTorch::test_prod_neg_dim, test/test_torch.py::TestTorch::test_pyobj_preserved, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_renorm_neg_dim, test/test_torch.py::TestTorch::test_resizable, test/test_torch.py::TestTorch::test_reversed, test/test_torch.py::TestTorch::test_scatter_neg_dim, test/test_torch.py::TestTorch::test_select_neg_dim, test/test_torch.py::TestTorch::test_set_flush_denormal, test/test_torch.py::TestTorch::test_setting_real_imag_to_a_number, test/test_torch.py::TestTorch::test_show_config, test/test_torch.py::TestTorch::test_size_neg_dim, test/test_torch.py::TestTorch::test_size_stride, test/test_torch.py::TestTorch::test_sizeof, test/test_torch.py::TestTorch::test_slice, test/test_torch.py::TestTorch::test_slow_test, test/test_torch.py::TestTorch::test_sobolengine_bounds, test/test_torch.py::TestTorch::test_sobolengine_bounds_scrambled, test/test_torch.py::TestTorch::test_sobolengine_continuing, test/test_torch.py::TestTorch::test_sobolengine_continuing_scrambled, test/test_torch.py::TestTorch::test_sobolengine_default_dtype, test/test_torch.py::TestTorch::test_sobolengine_distribution, test/test_torch.py::TestTorch::test_sobolengine_distribution_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw, test/test_torch.py::TestTorch::test_sobolengine_draw_base2, test/test_torch.py::TestTorch::test_sobolengine_draw_base2_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw_scrambled, test/test_torch.py::TestTorch::test_sobolengine_fast_forward, test/test_torch.py::TestTorch::test_sobolengine_fast_forward_scrambled, test/test_torch.py::TestTorch::test_sobolengine_first_point, test/test_torch.py::TestTorch::test_sobolengine_high_dim, test/test_torch.py::TestTorch::test_sobolengine_raise, test/test_torch.py::TestTorch::test_sobolengine_reset, test/test_torch.py::TestTorch::test_sobolengine_reset_scrambled, test/test_torch.py::TestTorch::test_sort_neg_dim, test/test_torch.py::TestTorch::test_split_neg_dim, test/test_torch.py::TestTorch::test_split_with_sizes_copy_out, test/test_torch.py::TestTorch::test_squeeze_neg_dim, test/test_torch.py::TestTorch::test_std_neg_dim, test/test_torch.py::TestTorch::test_storage_base_init, test/test_torch.py::TestTorch::test_storage_base_new, test/test_torch.py::TestTorch::test_storage_byteswap, test/test_torch.py::TestTorch::test_storage_casts, test/test_torch.py::TestTorch::test_storage_cycle_via_dict, test/test_torch.py::TestTorch::test_storage_cycle_via_slots, test/test_torch.py::TestTorch::test_storage_dead_weak_ref, test/test_torch.py::TestTorch::test_storage_dealloc, test/test_torch.py::TestTorch::test_storage_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_zombie, test/test_torch.py::TestTorch::test_storage_dict_dealloc, test/test_torch.py::TestTorch::test_storage_error, test/test_torch.py::TestTorch::test_storage_error_no_attribute, test/test_torch.py::TestTorch::test_storage_finalizer_dealloc, test/test_torch.py::TestTorch::test_storage_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_zombie, test/test_torch.py::TestTorch::test_storage_preserve_nonhermetic_in_hermetic_context, test/test_torch.py::TestTorch::test_storage_resurrected_weak_ref, test/test_torch.py::TestTorch::test_storage_slot_dealloc, test/test_torch.py::TestTorch::test_storage_thread_safety, test/test_torch.py::TestTorch::test_storage_weakref_dealloc, test/test_torch.py::TestTorch::test_structseq_repr, test/test_torch.py::TestTorch::test_subclass_preserved, test/test_torch.py::TestTorch::test_subclass_tensors, test/test_torch.py::TestTorch::test_sum_neg_dim, test/test_torch.py::TestTorch::test_swap_basic, test/test_torch.py::TestTorch::test_swap_fail_slots, test/test_torch.py::TestTorch::test_t_not_2d_error, test/test_torch.py::TestTorch::test_tensor_base_init, test/test_torch.py::TestTorch::test_tensor_base_new, test/test_torch.py::TestTorch::test_tensor_ctor_scalar, test/test_torch.py::TestTorch::test_tensor_cycle_via_dict, test/test_torch.py::TestTorch::test_tensor_cycle_via_slots, test/test_torch.py::TestTorch::test_tensor_dead_weak_ref, test/test_torch.py::TestTorch::test_tensor_dict_dealloc, test/test_torch.py::TestTorch::test_tensor_finalizer_dealloc, test/test_torch.py::TestTorch::test_tensor_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_tensor_item_no_warning, test/test_torch.py::TestTorch::test_tensor_ressurecting_clear, test/test_torch.py::TestTorch::test_tensor_resurrected_weak_ref, test/test_torch.py::TestTorch::test_tensor_set, test/test_torch.py::TestTorch::test_tensor_set_errors, test/test_torch.py::TestTorch::test_tensor_slot_dealloc, test/test_torch.py::TestTorch::test_tensor_weakref_dealloc, test/test_torch.py::TestTorch::test_tensor_where_scalar, test/test_torch.py::TestTorch::test_tensor_with_grad_to_scalar_warning, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_terminate_handler_on_crash, test/test_torch.py::TestTorch::test_to, test/test_torch.py::TestTorch::test_to_with_tensor, test/test_torch.py::TestTorch::test_topk_neg_dim, test/test_torch.py::TestTorch::test_torch_from_file, test/test_torch.py::TestTorch::test_transpose_neg_dim, test/test_torch.py::TestTorch::test_type, test/test_torch.py::TestTorch::test_type_alias, test/test_torch.py::TestTorch::test_type_conversion_via_dtype_name, test/test_torch.py::TestTorch::test_typed_storage_deprecation_warning, test/test_torch.py::TestTorch::test_typed_storage_internal_no_warning, test/test_torch.py::TestTorch::test_unbind_neg_dim, test/test_torch.py::TestTorch::test_unflatten, test/test_torch.py::TestTorch::test_unfold_neg_dim, test/test_torch.py::TestTorch::test_unsqueeze_neg_dim, test/test_torch.py::TestTorch::test_upsample_nearest1d_meta, test/test_torch.py::TestTorch::test_upsample_nearest2d_meta, test/test_torch.py::TestTorch::test_var_neg_dim, test/test_torch.py::TestTorch::test_warn_types, test/test_torch.py::TestTorch::test_wildcard_import, test/test_torch.py::TestVitalSignsCudaCPU::test_cuda_vitals_gpu_only_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test__local_scalar_dense_with_empty_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_cuda_errors_with_cpu_scalars_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_assertRaisesRegex_ignore_msg_non_native_device_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bfloat16_neg_abs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bool_tensor_value_change_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_add_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_addcdiv_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_addcmul_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_atan2_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_copy_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_dist_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_div_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_eq_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_fmod_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_ge_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_gt_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_le_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_lerp_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_lt_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_map2_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_map_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_fill_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_scatter_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_select_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_max_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_min_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_mul_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_ne_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_pow_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_remainder_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_sub_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_cuda_backward_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_euclidean_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_grad_p_lt_1_no_nan_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_same_inputs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_all_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_internal_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_not_memory_dense_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_zero_stride_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_complex_half_experimental_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_constants_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_backward_agnostic_to_memory_format_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_math_view_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cov_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cpp_warnings_have_python_context_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_cummin_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummin_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumprod_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_64bit_indexing_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_outer_dim_64bit_indexing_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_replication_pad2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_device_guard_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_dim_function_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_discontiguous_out_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dist_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dtypetensor_warnings_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_expected_failure_xla_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_deterministic_path_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_one_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scale_will_not_overflow_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_deprecated_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_pass_itself_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_accumulation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_separate_unscale_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_multiple_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_penalty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_state_dict_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_sparse_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_update_scale_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_type_promotion_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_hook_remove_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_add_large_inputs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_add_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_put_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_int64_upsample3d_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_invalid_shapes_grid_sampler_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_is_set_to_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_is_signed_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e4m3fn, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e4m3fnuz, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e5m2, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e5m2fnuz, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_large_cumprod_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_large_cumsum_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_logcumsumexp_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_lognormal_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_bool_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bfloat16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bfloat16_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bool_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bool_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex128_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex128_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float16_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float32_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float32_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int16_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int32_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int32_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int8_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int8_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_uint8_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_uint8_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_bool_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_inplace_noncontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_large_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_clone_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_consistency_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_cpu_and_cuda_ops_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_empty_like_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_factory_like_functions_preserve_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_operators_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_preserved_after_permute_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_propagation_rules_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_to_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_type_shortcuts_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_module_share_memory_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_deterministic_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_deterministic_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_deterministic_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_device_constrain_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_empty_w_replacement_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_empty_wo_replacement_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_gpu_device_constrain_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_rng_state_advance_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_narrow_copy_non_contiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_narrow_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_no_nondeterministic_alert_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_no_nondeterministic_alert_interpolate_trilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AdaptiveAvgPool2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AdaptiveAvgPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AdaptiveMaxPool2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AvgPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_CTCLoss_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_EmbeddingBag_max_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_FractionalMaxPool2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_FractionalMaxPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool1d_cpu_float16, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_set_errors_multigpu_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_shape_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_ternary_op_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_untyped_storage_meta_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_warn_always_caught_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_where_scalar_handcrafted_values_cpu 2025-12-04T08:34:29.7870709Z 2025-12-04T08:34:29.7870986Z Finished test_torch 1/1 ... [2025-12-04 08:34:29.728778][1409.359734455], took 8.20min 2025-12-04T08:34:29.7872070Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-ce11d41439ce74f0.xml 2025-12-04T08:34:29.8267771Z Running test_python_dispatch 1/1 ... [2025-12-04 08:34:29.826509][1409.457470504] 2025-12-04T08:34:29.8268270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:34:29.8271672Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_python_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 08:34:29.826929] 2025-12-04T08:35:06.3931760Z 2025-12-04T08:35:06.3932980Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_999909f3bcc6ebca_.log 2025-12-04T08:35:06.3979918Z Running 119 items in this shard: test/test_python_dispatch.py::TestDispatcherPythonBindings::test_call_boxed, test/test_python_dispatch.py::TestPythonRegistration::test_alias_analysis, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_no_existing, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_with_existing, test/test_python_dispatch.py::TestPythonRegistration::test_dispatcher_error_filenames, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_eq, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_pickle, test/test_python_dispatch.py::TestPythonRegistration::test_error_for_unsupported_ns_or_kind, test/test_python_dispatch.py::TestPythonRegistration::test_error_if_fn_not_callable, test/test_python_dispatch.py::TestPythonRegistration::test_extend_library_with_dispatch_key_arg, test/test_python_dispatch.py::TestPythonRegistration::test_fallback, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_keyset, test/test_python_dispatch.py::TestPythonRegistration::test_fallthrough_for_dense_key_with_meta_in_tls, test/test_python_dispatch.py::TestPythonRegistration::test_finalizer, test/test_python_dispatch.py::TestPythonRegistration::test_override_aten_ops_with_multiple_libraries, test/test_python_dispatch.py::TestPythonRegistration::test_override_cpu_sum, test/test_python_dispatch.py::TestPythonRegistration::test_override_cuda_with_jiterator, test/test_python_dispatch.py::TestPythonRegistration::test_register_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_returning_symint, test/test_python_dispatch.py::TestPythonDispatch::test_all_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_autograd_in_attr, test/test_python_dispatch.py::TestPythonDispatch::test_basic, test/test_python_dispatch.py::TestPythonDispatch::test_capture_logs_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_construct_int_tensor, test/test_python_dispatch.py::TestPythonDispatch::test_custom_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_not_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_size_policy_dynamic_shapes, test/test_python_dispatch.py::TestPythonDispatch::test_data_ptr_respects_numel_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_non_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass_with_clone_returning_different_type, test/test_python_dispatch.py::TestPythonDispatch::test_detach_appears_once_when_called_once, test/test_python_dispatch.py::TestPythonDispatch::test_device_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dim_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call_list_arg, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_dont_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_uint64, test/test_python_dispatch.py::TestPythonDispatch::test_error_using_class_method_on_mode, test/test_python_dispatch.py::TestPythonDispatch::test_exception_handling, test/test_python_dispatch.py::TestPythonDispatch::test_fancy_strides, test/test_python_dispatch.py::TestPythonDispatch::test_format, test/test_python_dispatch.py::TestPythonDispatch::test_get_cur_mode, test/test_python_dispatch.py::TestPythonDispatch::test_get_mode_stack, test/test_python_dispatch.py::TestPythonDispatch::test_index_put_where_only_index_is_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_invalid_ret, test/test_python_dispatch.py::TestPythonDispatch::test_is_contiguous_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only_and_positional_default, test/test_python_dispatch.py::TestPythonDispatch::test_layout_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_like, test/test_python_dispatch.py::TestPythonDispatch::test_list_ret, test/test_python_dispatch.py::TestPythonDispatch::test_make_fx_with_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_make_subclass_with_modes, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_noalloc, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_propagates_metadata, test/test_python_dispatch.py::TestPythonDispatch::test_maybe_tuple_bug, test/test_python_dispatch.py::TestPythonDispatch::test_mode_detection, test/test_python_dispatch.py::TestPythonDispatch::test_mode_with_make_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_multiple_ops_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_nested_push_logging_tensor_mode, test/test_python_dispatch.py::TestPythonDispatch::test_nesting_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_new_ones, test/test_python_dispatch.py::TestPythonDispatch::test_none_wrapping, test/test_python_dispatch.py::TestPythonDispatch::test_notimplemented_mode, test/test_python_dispatch.py::TestPythonDispatch::test_optional_tensor_list, test/test_python_dispatch.py::TestPythonDispatch::test_out, test/test_python_dispatch.py::TestPythonDispatch::test_produce_real_type, test/test_python_dispatch.py::TestPythonDispatch::test_record_stream, test/test_python_dispatch.py::TestPythonDispatch::test_return_and_correct_aliasing_gives_correct_stride, test/test_python_dispatch.py::TestPythonDispatch::test_return_stream, test/test_python_dispatch.py::TestPythonDispatch::test_set_data, test/test_python_dispatch.py::TestPythonDispatch::test_shallow_copy_and_detach, test/test_python_dispatch.py::TestPythonDispatch::test_sizes_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_standard_is_not_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_storage, test/test_python_dispatch.py::TestPythonDispatch::test_storage_can_be_converted_to_python_object, test/test_python_dispatch.py::TestPythonDispatch::test_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_creation, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_sym_sizes_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_tolist_numpy_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_basic, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_respects_no_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_unrelated_tensors, test/test_python_dispatch.py::TestPythonDispatch::test_version, test/test_python_dispatch.py::TestPythonDispatch::test_view_returns_alias_under_torch_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_with_mode_created_separately, test/test_python_dispatch.py::TestPythonDispatch::test_with_nested_modes, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_extra_dispatch_keys, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_multiprocessing_preserves_dtype, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_reentrant_dispatch_with_mode, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_serializes, test/test_python_dispatch.py::TestPythonDispatcher::test_basic, test/test_python_dispatch.py::TestPythonDispatcher::test_lstsq, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_cat_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_conv2d_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCatCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCubeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulScalarCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNMSCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNonzeroCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySortCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyTakeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyViewCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_fft_fft2_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_mul_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_native_batch_norm_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_out_op_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_list_args_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_view_cpu_float32 2025-12-04T08:35:06.4026030Z 2025-12-04T08:35:06.4026323Z Finished test_python_dispatch 1/1 ... [2025-12-04 08:35:06.393261][1446.024222312], took 0.61min 2025-12-04T08:35:06.4027385Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-716ae0a9747715b7.xml 2025-12-04T08:35:06.4683278Z Running test_tensor_creation_ops 1/1 ... [2025-12-04 08:35:06.468083][1446.099044966] 2025-12-04T08:35:06.4683772Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:35:06.4687011Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensor_creation_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 08:35:06.468443] 2025-12-04T08:42:42.1677507Z 2025-12-04T08:42:42.1678437Z 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_49b5c780fd67dfdb_.log 2025-12-04T08:42:42.1928694Z Running 651 items in this shard: test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_strided_neg_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_scipy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cartesian_prod_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_big_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_channels_last_large_inputs_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_in_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_large_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_misaligned_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_multi_batch_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_memory_format_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_preserve_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_size1_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_stack_cross_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_trailing_dim_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_combinations_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_complex_type_conversions_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_concat_empty_list_error_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_device_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_dtypes_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ctor_with_numpy_array_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diag_embed_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diagflat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_full_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_overflow_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_tensor_props_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_eye_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_fill_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_False_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_True_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_like_fn_stride_proparation_vs_tensoriterator_unary_op_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linlogspace_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_default_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_is_default_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_dtype_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_non_1d_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_unsupported_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_vs_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_warns_if_no_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_xy_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_methods_requires_grad_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_offset_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ones_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_factories_64bit_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_warning_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_repeat_interleave_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_roll_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_simple_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_storage_filename_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_strided_mismatched_stride_shape_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_ctor_device_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factories_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_copy_var_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_non_writable_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_sequence_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_bounds_checking_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_out_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_std_error_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_distribution_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_inference_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_bfloat16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_random_neg_values_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_device_compatibility_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_large_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_empty_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_full_like_inference_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_rand_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_randint_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_randn_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_byte_to_int_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_astensor_consistency_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_default_device_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_device_without_index_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_numpy_scalars_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_mult_devices_cpu_float32 2025-12-04T08:42:42.2170899Z 2025-12-04T08:42:42.2171235Z Finished test_tensor_creation_ops 1/1 ... [2025-12-04 08:42:42.169005][1901.79996174], took 7.60min 2025-12-04T08:42:42.2172350Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-f75b043bbc7f6a2f.xml 2025-12-04T08:42:42.2626752Z Running test_nn 2/3 ... [2025-12-04 08:42:42.262428][1901.893388505] 2025-12-04T08:42:42.2627178Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:42:42.2630107Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nn.py', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 08:42:42.262783] 2025-12-04T08:49:20.1317078Z 2025-12-04T08:49:20.1318072Z test_nn 2/3 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_2.3_f690eb37ba0a7cd5_.log 2025-12-04T08:49:20.1728995Z Running 746 items in this shard: test/test_nn.py::TestNN::test_AdaptiveLogSoftmax, test/test_nn.py::TestNN::test_AdaptiveLogSoftmax_cuda, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cpu, test/test_nn.py::TestNN::test_Conv1d_dilated, test/test_nn.py::TestNN::test_Conv1d_groups_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1, test/test_nn.py::TestNN::test_Conv1d_pad1size1, test/test_nn.py::TestNN::test_Conv1d_pad2, test/test_nn.py::TestNN::test_Conv1d_pad2size1, test/test_nn.py::TestNN::test_Conv1d_pad2size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same2, test/test_nn.py::TestNN::test_Conv1d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier, test/test_nn.py::TestNN::test_Conv2d_dilated, test/test_nn.py::TestNN::test_Conv2d_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups, test/test_nn.py::TestNN::test_Conv2d_groups_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_valid, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_dilated_strided, test/test_nn.py::TestNN::test_Conv3d_dilated_strided_cuda, test/test_nn.py::TestNN::test_Conv3d_groups, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_no_bias, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_stride_padding_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch, test/test_nn.py::TestNN::test_ConvTranspose1d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_EmbeddingBag_max, test/test_nn.py::TestNN::test_EmbeddingBag_max_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_sum, test/test_nn.py::TestNN::test_EmbeddingBag_sum_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx_cuda, test/test_nn.py::TestNN::test_Embedding_cuda, test/test_nn.py::TestNN::test_Embedding_discontiguous_cuda, test/test_nn.py::TestNN::test_Flatten_cuda, test/test_nn.py::TestNN::test_Flatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_GELU_no_batch_dim, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_reduce, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex, test/test_nn.py::TestNN::test_L1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_LSTM_cell_forward_hidden_size, test/test_nn.py::TestNN::test_LSTM_cell_forward_input_size, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MaxUnpool3d_net, test/test_nn.py::TestNN::test_Mish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ModuleDict, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_reduce, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda, test/test_nn.py::TestNN::test_PReLU_no_batch_dim, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs_cuda, test/test_nn.py::TestNN::test_ParameterList, test/test_nn.py::TestNN::test_PixelUnshuffle, test/test_nn.py::TestNN::test_PixelUnshuffle_cuda, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce, test/test_nn.py::TestNN::test_RNN_cell_no_broadcasting, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_with_dropout, test/test_nn.py::TestNN::test_RReLU_cuda, test/test_nn.py::TestNN::test_RReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_complex, test/test_nn.py::TestNN::test_ReplicationPad3d_complex_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim, test/test_nn.py::TestNN::test_Sequential_delitem, test/test_nn.py::TestNN::test_Sequential_iadd, test/test_nn.py::TestNN::test_Sequential_mul, test/test_nn.py::TestNN::test_Sequential_pop, test/test_nn.py::TestNN::test_Sequential_rmul, test/test_nn.py::TestNN::test_Sequential_setitem, test/test_nn.py::TestNN::test_Sequential_setitem_named, test/test_nn.py::TestNN::test_SmoothL1Loss_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta_cuda, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_Softplus_no_batch_dim, test/test_nn.py::TestNN::test_Softplus_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_Unfold_int_input_cuda, test/test_nn.py::TestNN::test_adaptive_log_softmax, test/test_nn.py::TestNN::test_affine_grid, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_NCHW_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_NCHW_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_NCHW_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_NCHW_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_buffer_update_when_stats_are_not_tracked, test/test_nn.py::TestNN::test_batchnorm_cudnn_nhwc, test/test_nn.py::TestNN::test_batchnorm_half_overflow, test/test_nn.py::TestNN::test_batchnorm_load_state_dict, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_BatchNorm2d, test/test_nn.py::TestNN::test_batchnorm_nonaffine_cuda_half_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad, test/test_nn.py::TestNN::test_bce_loss_always_nonnegative, test/test_nn.py::TestNN::test_bce_loss_broadcasts_weights, test/test_nn.py::TestNN::test_bce_loss_size_mismatch, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_forward_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bce_with_logits_raises_if_target_and_input_are_different_size, test/test_nn.py::TestNN::test_bilinear, test/test_nn.py::TestNN::test_bilinear_non_contiguous, test/test_nn.py::TestNN::test_broadcast_double_backwards_gpu, test/test_nn.py::TestNN::test_broadcast_not_requiring_grad, test/test_nn.py::TestNN::test_buffer_not_persistent_del, test/test_nn.py::TestNN::test_call_supports_python_dict_output, test/test_nn.py::TestNN::test_convert_sync_batchnorm, test/test_nn.py::TestNN::test_cosine_embedding_loss_with_diff_type, test/test_nn.py::TestNN::test_cross_entropy_loss, test/test_nn.py::TestNN::test_cross_entropy_loss_precision, test/test_nn.py::TestNN::test_cudnn_weight_format, test/test_nn.py::TestNN::test_elu_inplace_on_view, test/test_nn.py::TestNN::test_error_RNN_seq_len_zero, test/test_nn.py::TestNN::test_extra_state_missing_get_extra_state, test/test_nn.py::TestNN::test_fb_fc_packed, test/test_nn.py::TestNN::test_fold_invalid_arg, test/test_nn.py::TestNN::test_gaussian_nll_loss_args, test/test_nn.py::TestNN::test_gaussian_nll_loss_broadcasting, test/test_nn.py::TestNN::test_gaussian_nll_loss_scalar_var, test/test_nn.py::TestNN::test_get_buffer_from_submodules, test/test_nn.py::TestNN::test_huber_loss_invalid_delta, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_illegal_memory_access, test/test_nn.py::TestNN::test_interpolate_linear_1d, test/test_nn.py::TestNN::test_interpolate_linear_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d, test/test_nn.py::TestNN::test_interpolate_trilinear_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_cuda, test/test_nn.py::TestNN::test_kl_div_with_diff_type, test/test_nn.py::TestNN::test_kl_div_with_diff_type_log_target, test/test_nn.py::TestNN::test_large_max_pool2d_ch_last, test/test_nn.py::TestNN::test_layer_norm_large_tensor, test/test_nn.py::TestNN::test_linear_broadcasting, test/test_nn.py::TestNN::test_linear_raise_on_scalar_input, test/test_nn.py::TestNN::test_log_softmax_scalar, test/test_nn.py::TestNN::test_log_softmax_spatial_special, test/test_nn.py::TestNN::test_log_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_margin_ranking_loss_margin_no_reduce, test/test_nn.py::TestNN::test_max_pool1d_invalid_output_size, test/test_nn.py::TestNN::test_modules, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_nn.py::TestNN::test_named_modules, test/test_nn.py::TestNN::test_native_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_nested_tensor_from_mask, test/test_nn.py::TestNN::test_pack_sequence_batch_sizes_throw, test/test_nn.py::TestNN::test_pad_scalar_error, test/test_nn.py::TestNN::test_pdist, test/test_nn.py::TestNN::test_pdist_empty_col, test/test_nn.py::TestNN::test_projections_errors_on_gru_and_rnn, test/test_nn.py::TestNN::test_projections_lstm_args_check, test/test_nn.py::TestNN::test_projections_lstm_check_device, test/test_nn.py::TestNN::test_register_parameter_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_rnn_args_check, test/test_nn.py::TestNN::test_rnn_weight_norm, test/test_nn.py::TestNN::test_softmax_functional_dim0, test/test_nn.py::TestNN::test_softmax_functional_scalar_cuda, test/test_nn.py::TestNN::test_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_softmax_lastdim_dtype, test/test_nn.py::TestNN::test_softmax_spatial_dtype, test/test_nn.py::TestNN::test_transformer_layer_args_check, test/test_nn.py::TestNN::test_triplet_margin_loss_no_reduce, test/test_nn.py::TestNN::test_triplet_margin_loss_swap, test/test_nn.py::TestNN::test_type, test/test_nn.py::TestNN::test_weight_norm_pickle, test/test_nn.py::TestNN::test_zero_grad, test/test_nn.py::TestFunctionalPickle::test_pickle_softsign, test/test_nn.py::TestFusionUtils::test_fuse_conv_bn_requires_grad, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm3d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_race_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_warnings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_fails_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_adaptiveavg_pool1d_shmem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_3d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_update_stats_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_errors_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_with_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cudnn_rnn_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_fold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_bfloat16_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_weight_bias_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_devices_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_mask_types_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_transformer_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_mish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_mse_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_byte_target_matches_long_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_sum_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_overwrite_module_params_on_conversion_cpu_device_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_prelu_backward_32bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_silu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_smem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_results_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_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_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_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_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_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_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_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_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_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_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_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_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_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_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_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_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_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_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_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_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_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_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_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_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_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_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_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_rocm_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_rescale_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_bfloat16 2025-12-04T08:49:20.2126139Z 2025-12-04T08:49:20.2126389Z Finished test_nn 2/3 ... [2025-12-04 08:49:20.133339][2299.764298295], took 6.63min 2025-12-04T08:49:20.2127241Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-4c2c17663dd99a8b.xml 2025-12-04T08:49:20.5002644Z Uploading artifacts took 0.27 seconds 2025-12-04T08:49:20.5006576Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 08:49:20.500473][2300.131434452] 2025-12-04T08:49:20.5007095Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:49:20.5011038Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 08:49:20.500839] 2025-12-04T08:51:48.0738725Z 2025-12-04T08:51:48.0740594Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_4a59f31be1ef960e_.log 2025-12-04T08:51:48.0762024Z Running 31 items in this shard: test/test_multiprocessing_spawn.py::SpawnTest::test_exception_all, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_single, test/test_multiprocessing_spawn.py::SpawnTest::test_first_argument_index, test/test_multiprocessing_spawn.py::SpawnTest::test_signal_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_success, test/test_multiprocessing_spawn.py::SpawnTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::SpawnTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period_20, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ForkTest::test_exception_all, test/test_multiprocessing_spawn.py::ForkTest::test_exception_single, test/test_multiprocessing_spawn.py::ForkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ForkTest::test_success, test/test_multiprocessing_spawn.py::ForkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ForkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period_20, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_all, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_single, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period_20, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerPerfTest::test_forkserver_perf, test/test_multiprocessing_spawn.py::ErrorTest::test_errors_pickleable 2025-12-04T08:51:48.0781463Z 2025-12-04T08:51:48.0781987Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 08:51:48.073724][2447.704683504], took 2.46min 2025-12-04T08:51:48.0784129Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-da2abc679130f933.xml 2025-12-04T08:51:48.1627128Z Running nn/test_pooling 1/1 ... [2025-12-04 08:51:48.162452][2447.793413945] 2025-12-04T08:51:48.1627875Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:51:48.1631472Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_pooling.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 08:51:48.162820] 2025-12-04T08:53:31.2513410Z 2025-12-04T08:53:31.2514290Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_fe8fa7142e06347d_.log 2025-12-04T08:53:31.2569314Z Running 115 items in this shard: test/nn/test_pooling.py::TestAvgPool::test_avg_pool1d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool2d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool3d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d_with_divisor, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d_with_divisor, test/nn/test_pooling.py::TestPoolingNN::test_MaxUnpool2d_output_size, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_nhwc_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_backward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_forward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_non_contiguous, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_lower_precision, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_none, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_overflow, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool2d_nhwc_cpu, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool3d_input_check, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool1d_empty_kernel, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool3d, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool2d_empty_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool3d_backward_after_cat_dim1_device_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_errors_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_LPPool1d_kernel_size_overflow_large_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool3d_errors_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case10_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case4_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case5_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case6_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case7_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case8_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case9_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_invalid_output_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool2d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool3d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_max_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pool_odd_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_uint8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool3d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_indices_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_with_indices_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_unpool_invalid_indices_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool3d_non_square_backward_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool_indices_no_batch_dim_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_large_size_int64_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_size_one_feature_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_invalid_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_large_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_bfloat16_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_large_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_zero_stride_cpu 2025-12-04T08:53:31.2619876Z 2025-12-04T08:53:31.2620145Z Finished nn/test_pooling 1/1 ... [2025-12-04 08:53:31.251450][2550.882408197], took 1.72min 2025-12-04T08:53:31.2621131Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-d59b2cbaff4024e4.xml 2025-12-04T08:53:31.3388529Z Running test_overrides 1/1 ... [2025-12-04 08:53:31.338627][2550.96958987] 2025-12-04T08:53:31.3388983Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:53:31.3392374Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 08:53:31.339009] 2025-12-04T08:56:04.3135057Z 2025-12-04T08:56:04.3135943Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_31c386e29e425c51_.log 2025-12-04T08:56:04.3645386Z 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_index_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inner, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ipu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_coalesced, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_pinned, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_set_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_shared, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isfinite, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_long, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map2_, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ndimension, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nelement, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_norm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numpy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_outer, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_permute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pin_memory, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_positive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qscheme, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_random_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_record_stream, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_refine_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_post_accumulate_grad_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_requires_grad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_sparse_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_retain_grad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_roll, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_row_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_set_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_share_memory_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_short, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_smm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_mask, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_and_clear_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sspaddmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_std, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_stft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_offset, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum_to_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_svd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_mkldnn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_sparse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tolist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_topk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trace, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique, 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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, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_u, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_v, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_w, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_spherical_bessel_j0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlog1py, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_zeta, test/test_overrides.py::TestTorchFunctionOverride::test_torch__assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__conj_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__functional_assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__fused_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch__fw_primal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lobpcg_lobpcg, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_pca_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_svd_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__make_dual_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__native_batch_norm_legit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__neg_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__reshape_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__rowwise_prune, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sparse_broadcast_to_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_linear_prepack, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_quantized_linear_prepacked, test/test_overrides.py::TestTorchFunctionOverride::test_torch_abs, test/test_overrides.py::TestTorchFunctionOverride::test_torch_absolute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_torch_affine_grid_generator, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_all, test/test_overrides.py::TestTorchFunctionOverride::test_torch_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_angle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_any, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats_with_counts, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_update_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bilinear, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bucketize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ccol_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_torch_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_choose_qparams_optimized, test/test_overrides.py::TestTorchFunctionOverride::test_torch_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clone, test/test_overrides.py::TestTorchFunctionOverride::test_torch_col_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_column_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_combinations, test/test_overrides.py::TestTorchFunctionOverride::test_torch_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concatenate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_torch_constant_pad_nd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_tbc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_similarity, test/test_overrides.py::TestTorchFunctionOverride::test_torch_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cov, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch_crow_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumulative_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diff, test/test_overrides.py::TestTorchFunctionOverride::test_torch_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_empty_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_eq, test/test_overrides.py::TestTorchFunctionOverride::test_torch_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expand_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_channel_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_tensor_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_quantize_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_gemm_matrix_fp16, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_quantized_matrix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_torch_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frobenius_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_full_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_empty_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_in_float_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_in_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_in_scalar_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_mixed_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_nested_tuple_getitem, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_not_first_in_list, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_precedence_in_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_block_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_broadcast_tensors, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cartesian_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_chain_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_einsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_meshgrid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_stft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_tensordot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unravel_index, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fused_moving_avg_obs_fake_quant, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gather, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ge, test/test_overrides.py::TestTorchFunctionOverride::test_torch_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ger, test/test_overrides.py::TestTorchFunctionOverride::test_torch_get_device, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gradient, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hash_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogramdd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_imag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inner, test/test_overrides.py::TestTorchFunctionOverride::test_torch_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_istft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kron, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_torch_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_le, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log10, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_unpack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_median, test/test_overrides.py::TestTorchFunctionOverride::test_torch_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_add_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_depthwise_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_rnn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mode, test/test_overrides.py::TestTorchFunctionOverride::test_torch_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_msort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ne, test/test_overrides.py::TestTorchFunctionOverride::test_torch_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_negative, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional__threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_affine_grid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_elu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gaussian_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_glu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_grid_sample, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gumbel_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hardtanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_huber_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_interpolate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_leaky_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_local_response_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mish, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mse_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_head_attention_forward, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_normalize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_pad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu6, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_silu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_smooth_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softsign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_tanhshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_with_distance_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_constant_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_kaiming_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_torch_norm_except_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nuclear_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_numel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ones_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_outer, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pairwise_distance, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_unshuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polar, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_positive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_channel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor_dynamic, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_torch_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_roll, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_torch_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_saddmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_searchsorted, test/test_overrides.py::TestTorchFunctionOverride::test_torch_segment_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_smm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_square, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_float, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_int, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_ite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_topk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trace, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapz, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tril, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unflatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unfold_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_where, test/test_overrides.py::TestTorchFunctionOverride::test_torch_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_zeros_like, test/test_overrides.py::TestTorchFunctionOverride::test_user_implementation_raises, test/test_overrides.py::TestEinsumOverride::test_wrapper, test/test_overrides.py::TestGradCheckOverride::test_gradcheck, test/test_overrides.py::TestNamedTuple::test_max, test/test_overrides.py::TestGradNewOnesOverride::test_newones, test/test_overrides.py::TestPickle::test_pickle, test/test_overrides.py::TestBroadcastAllOverride::test_broadcast_all, test/test_overrides.py::TestWrapTorchFunction::test_wrap_torch_function, test/test_overrides.py::TestIndexing::test_getitem, test/test_overrides.py::TestIndexing::test_getitem_subclass, test/test_overrides.py::TestIndexing::test_setitem, test/test_overrides.py::TestIndexing::test_setitem_subclass, test/test_overrides.py::TestIndexing::test_setitem_val, test/test_overrides.py::TestIterator::test_iterator, test/test_overrides.py::TestRNN::test_rnn, test/test_overrides.py::TestDisabledTorchFunction::test_parameter_does_not_prevent_dispatch, test/test_overrides.py::TestResolveName::test_resolve_name, test/test_overrides.py::TestTorchFunctionWarning::test_torch_function_standalone_class, test/test_overrides.py::TestTorchFunctionWarning::test_torch_function_tensor_subclass, test/test_overrides.py::TestDisabledUserWarnings::test_no_implicit_user_warning_for_deprecated_functions, test/test_overrides.py::TestTorchFunctionMode::test_all_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_basic, test/test_overrides.py::TestTorchFunctionMode::test_custom_device_type, test/test_overrides.py::TestTorchFunctionMode::test_device_context_semantics, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_subclass, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_torch_function_ctx, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_mode, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_not_mode, test/test_overrides.py::TestTorchFunctionMode::test_distributions_bernoulli, test/test_overrides.py::TestTorchFunctionMode::test_error_using_class_method_on_mode, test/test_overrides.py::TestTorchFunctionMode::test_factory_override, test/test_overrides.py::TestTorchFunctionMode::test_get_cur_mode, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_mode_notimplemented_loop, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_return_notimplemented, test/test_overrides.py::TestTorchFunctionMode::test_nested_modes_with_python_has_torch_function, test/test_overrides.py::TestTorchFunctionMode::test_nested_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_nn_parse_to, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_restacking_with_ancestor, test/test_overrides.py::TestTorchFunctionMode::test_subclass_hash, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_with_mode, test/test_overrides.py::TestTorchFunctionMode::test_with_mode_created_separately, test/test_overrides.py::TestTorchFunctionMode::test_with_nested_modes 2025-12-04T08:56:04.4152942Z 2025-12-04T08:56:04.4153220Z Finished test_overrides 1/1 ... [2025-12-04 08:56:04.315247][2703.946205486], took 2.55min 2025-12-04T08:56:04.4154226Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_overrides/test_overrides-1465fc00bc30fadd.xml 2025-12-04T08:56:04.4220982Z Running test_reductions 1/2 ... [2025-12-04 08:56:04.421823][2704.052782904] 2025-12-04T08:56:04.4221624Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:56:04.4224458Z Executing ['/opt/conda/envs/py_3.10/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 08:56:04.422188] 2025-12-04T09:01:44.4633377Z 2025-12-04T09:01:44.4634225Z test_reductions 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.2_e9e82d6ccd732130_.log 2025-12-04T09:01:44.5558278Z 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, 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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 2025-12-04T09:01:44.6457727Z 2025-12-04T09:01:44.6458042Z Finished test_reductions 1/2 ... [2025-12-04 09:01:44.466795][3044.097753205], took 5.67min 2025-12-04T09:01:44.6459053Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-89460d358ba43e63.xml 2025-12-04T09:01:44.6459991Z Running test_reductions 2/2 ... [2025-12-04 09:01:44.589484][3044.220445077] 2025-12-04T09:01:44.6460440Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:01:44.6461488Z Executing ['/opt/conda/envs/py_3.10/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 09:01:44.589842] 2025-12-04T09:07:20.3981780Z 2025-12-04T09:07:20.3982955Z test_reductions 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_2.2_922f2cb8b4fa0666_.log 2025-12-04T09:07:20.4873605Z 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_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_mean_cpu_float32, 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 2025-12-04T09:07:20.5756367Z 2025-12-04T09:07:20.5756700Z Finished test_reductions 2/2 ... [2025-12-04 09:07:20.401577][3380.032536382], took 5.60min 2025-12-04T09:07:20.5757712Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-54af5ad1f6c99cbd.xml 2025-12-04T09:07:20.5758671Z Running test_spectral_ops 1/1 ... [2025-12-04 09:07:20.523766][3380.154724769] 2025-12-04T09:07:20.5759136Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:20.5760182Z Executing ['/opt/conda/envs/py_3.10/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 09:07:20.524242] 2025-12-04T09:08:13.8139939Z 2025-12-04T09:08:13.8141225Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_2fdb3b1f73bd7447_.log 2025-12-04T09:08:13.8234752Z Running 281 items in this shard: test/test_spectral_ops.py::TestFFTCPU::test_batch_istft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_istft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_definition_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_onesided_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_plan_cache_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft_cpu_float32, 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test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_fftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_hfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_ifftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_irfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_fftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_hfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_ifftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_stft_align_to_window_only_requires_non_center_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_complex_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_window_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_window_device_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_hfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ihfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftn_cpu 2025-12-04T09:08:13.8327940Z 2025-12-04T09:08:13.8328243Z Finished test_spectral_ops 1/1 ... [2025-12-04 09:08:13.814299][3433.445258563], took 0.89min 2025-12-04T09:08:13.8329265Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-c145b0422b3b34b2.xml 2025-12-04T09:08:13.8912309Z Running doctests 1/1 ... [2025-12-04 09:08:13.891013][3433.521975802] 2025-12-04T09:08:14.5351825Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368. 2025-12-04T09:08:14.5352733Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:14.5353335Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:08:14.5353709Z 2025-12-04T09:08:14.5353926Z This function only works for a library with global namespace ("_"). 2025-12-04T09:08:14.5354262Z 2025-12-04T09:08:14.5354359Z Args: 2025-12-04T09:08:14.5354792Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:08:14.5355316Z to register a fallthrough. 2025-12-04T09:08:14.5355866Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:08:14.5356501Z the dispatch key that the library was created with. 2025-12-04T09:08:14.5357144Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:08:14.5357967Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:08:14.5358423Z 2025-12-04T09:08:14.5358542Z Example:: 2025-12-04T09:08:14.5358680Z 2025-12-04T09:08:14.5358802Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:08:14.5359148Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:08:14.5359527Z >>> # Handle all autocast ops generically 2025-12-04T09:08:14.5360119Z >>> # ... 2025-12-04T09:08:14.5360417Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:08:14.5360765Z 2025-12-04T09:08:14.5361529Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:08:14.5362378Z 2025-12-04T09:08:14.5362521Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:08:14.5362834Z ^ 2025-12-04T09:08:14.5494617Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958. 2025-12-04T09:08:14.5495495Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:14.5496113Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:08:14.5496457Z 2025-12-04T09:08:14.5496708Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:08:14.5497146Z 2025-12-04T09:08:14.5497536Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:08:14.5498521Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:08:14.5499093Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:08:14.5499600Z what the properties of the output Tensors are. 2025-12-04T09:08:14.5499864Z 2025-12-04T09:08:14.5500094Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:08:14.5500663Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:08:14.5501197Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:08:14.5501745Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:08:14.5502278Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:08:14.5510571Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:08:14.5511169Z (and may not directly access the storage or data of any input or 2025-12-04T09:08:14.5511595Z intermediate Tensors). 2025-12-04T09:08:14.5511788Z 2025-12-04T09:08:14.5511939Z This API may be used as a decorator (see examples). 2025-12-04T09:08:14.5512218Z 2025-12-04T09:08:14.5512372Z For a detailed guide on custom ops, please see 2025-12-04T09:08:14.5512869Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:08:14.5513228Z 2025-12-04T09:08:14.5513310Z Args: 2025-12-04T09:08:14.5513656Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:08:14.5514110Z func: Fake tensor implementation. 2025-12-04T09:08:14.5514537Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:08:14.5515044Z allow_override: Flag controlling if we want to override an 2025-12-04T09:08:14.5515525Z existing registered fake impl. This is by default off, 2025-12-04T09:08:14.5515985Z and will error you're trying to register a fake impl to 2025-12-04T09:08:14.5516457Z an operator that already has a fake impl. This also only 2025-12-04T09:08:14.5516917Z applies if the custom operator was not created via 2025-12-04T09:08:14.5517373Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:08:14.5517797Z impl is already allowed. 2025-12-04T09:08:14.5518033Z 2025-12-04T09:08:14.5518120Z Examples: 2025-12-04T09:08:14.5518345Z >>> import torch 2025-12-04T09:08:14.5518603Z >>> import numpy as np 2025-12-04T09:08:14.5518890Z >>> from torch import Tensor 2025-12-04T09:08:14.5519177Z >>> 2025-12-04T09:08:14.5519479Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:08:14.5520175Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:08:14.5520728Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:08:14.5521252Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:08:14.5521714Z >>> 2025-12-04T09:08:14.5522012Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:08:14.5522401Z >>> def _(x, weight, bias): 2025-12-04T09:08:14.5522694Z >>> assert x.dim() == 2 2025-12-04T09:08:14.5522995Z >>> assert weight.dim() == 2 2025-12-04T09:08:14.5523315Z >>> assert bias.dim() == 1 2025-12-04T09:08:14.5523629Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:08:14.5523998Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:08:14.5524366Z >>> assert x.device == weight.device 2025-12-04T09:08:14.5524670Z >>> 2025-12-04T09:08:14.5524909Z >>> return (x @ weight.t()) + bias 2025-12-04T09:08:14.5525221Z >>> 2025-12-04T09:08:14.5525516Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:08:14.5525892Z >>> x = torch.randn(2, 3) 2025-12-04T09:08:14.5526188Z >>> w = torch.randn(3, 3) 2025-12-04T09:08:14.5526476Z >>> b = torch.randn(3) 2025-12-04T09:08:14.5526781Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:08:14.5527103Z >>> 2025-12-04T09:08:14.5527308Z >>> assert y.shape == (2, 3) 2025-12-04T09:08:14.5527571Z >>> 2025-12-04T09:08:14.5527849Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:08:14.5528344Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:08:14.5528792Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:08:14.5529118Z >>> x_np = x.numpy(force=True) 2025-12-04T09:08:14.5529453Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:08:14.5529820Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:08:14.5530131Z >>> 2025-12-04T09:08:14.5530414Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:08:14.5530778Z >>> def _(x): 2025-12-04T09:08:14.5531063Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:08:14.5531462Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:08:14.5531875Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:08:14.5532256Z >>> # represents the data-dependent size. 2025-12-04T09:08:14.5532588Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:08:14.5532914Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:08:14.5533217Z >>> shape = [nnz, x.dim()] 2025-12-04T09:08:14.5533548Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:08:14.5533894Z >>> return result 2025-12-04T09:08:14.5534144Z >>> 2025-12-04T09:08:14.5534421Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:08:14.5534781Z >>> 2025-12-04T09:08:14.5534995Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:08:14.5535439Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:08:14.5535895Z >>> trace.print_readable() 2025-12-04T09:08:14.5536162Z >>> 2025-12-04T09:08:14.5536484Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:08:14.5536816Z 2025-12-04T09:08:14.5536892Z 2025-12-04T09:08:14.5537524Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:08:14.5538164Z 2025-12-04T09:08:14.5538246Z _._ = None 2025-12-04T09:08:14.5538426Z ^ 2025-12-04T09:08:14.5632896Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530. 2025-12-04T09:08:14.5634152Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:14.5634742Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:08:14.5635071Z 2025-12-04T09:08:14.5635543Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:08:14.5636489Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:08:14.5637270Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:08:14.5637795Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:08:14.5638339Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:08:14.5638846Z that calls into the original kernel for certain cases. 2025-12-04T09:08:14.5639132Z 2025-12-04T09:08:14.5639215Z Args: 2025-12-04T09:08:14.5639536Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:08:14.5640088Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:08:14.5640693Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:08:14.5641267Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:08:14.5641581Z 2025-12-04T09:08:14.5641666Z Returns: 2025-12-04T09:08:14.5642035Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:08:14.5642506Z call the kernel. 2025-12-04T09:08:14.5642680Z 2025-12-04T09:08:14.5642775Z Raises: 2025-12-04T09:08:14.5643029Z RuntimeError: If the operator does not exist. 2025-12-04T09:08:14.5643295Z 2025-12-04T09:08:14.5643379Z Example: 2025-12-04T09:08:14.5643625Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:08:14.5644036Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:08:14.5644436Z >>> 2025-12-04T09:08:14.5644683Z >>> # You can also use DispatchKey enum 2025-12-04T09:08:14.5645176Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:08:14.5645630Z >>> 2025-12-04T09:08:14.5645868Z >>> # Or use an OpOverload directly 2025-12-04T09:08:14.5646328Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:08:14.5646745Z >>> 2025-12-04T09:08:14.5647079Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:08:14.5647535Z >>> # Get the original kernel for torch.sin 2025-12-04T09:08:14.5647976Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:08:14.5648392Z >>> 2025-12-04T09:08:14.5648745Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:08:14.5649225Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:08:14.5649579Z >>> if (x < 0).any(): 2025-12-04T09:08:14.5649952Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:08:14.5650357Z >>> else: 2025-12-04T09:08:14.5650609Z >>> return torch.zeros_like(x) 2025-12-04T09:08:14.5650922Z >>> 2025-12-04T09:08:14.5651178Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:08:14.5651671Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:08:14.5652248Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:08:14.5652743Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:08:14.5653136Z >>> 2025-12-04T09:08:14.5653357Z >>> # Test the conditional behavior 2025-12-04T09:08:14.5653700Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:08:14.5654050Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:08:14.5654483Z >>> torch.sin(x_positive) 2025-12-04T09:08:14.5654779Z tensor([0., 0.]) 2025-12-04T09:08:14.5655049Z >>> torch.sin(x_mixed) 2025-12-04T09:08:14.5655323Z tensor([-0.8415, 0.9093]) 2025-12-04T09:08:14.5655602Z 2025-12-04T09:08:14.5656288Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:08:14.5656890Z 2025-12-04T09:08:14.5657077Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:08:14.5657439Z ^ 2025-12-04T09:08:14.8559926Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T09:08:14.8560878Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:14.8561510Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:08:14.8562111Z required drivers are available and at least one device is visible. 2025-12-04T09:08:14.8562592Z See :ref:`accelerator` for details. 2025-12-04T09:08:14.8562848Z 2025-12-04T09:08:14.8562944Z Returns: 2025-12-04T09:08:14.8563339Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:08:14.8563754Z 2025-12-04T09:08:14.8564032Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:08:14.8564654Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:08:14.8565289Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:08:14.8565788Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:08:14.8566047Z 2025-12-04T09:08:14.8566133Z Example:: 2025-12-04T09:08:14.8566272Z 2025-12-04T09:08:14.8566538Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:08:14.8567006Z 2025-12-04T09:08:14.8567676Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:08:14.8568365Z 2025-12-04T09:08:14.8568620Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:08:14.8569110Z ^ 2025-12-04T09:08:14.8591690Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T09:08:14.8592608Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:14.8593185Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:08:14.8593516Z 2025-12-04T09:08:14.8593602Z Args: 2025-12-04T09:08:14.8594038Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:08:14.8594716Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:08:14.8595274Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:08:14.8595582Z 2025-12-04T09:08:14.8595916Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:08:14.8596351Z 2025-12-04T09:08:14.8596454Z Example:: 2025-12-04T09:08:14.8596582Z 2025-12-04T09:08:14.8596721Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:08:14.8597239Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:08:14.8597772Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:08:14.8598149Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:08:14.8598501Z >>> start_event.record() 2025-12-04T09:08:14.8598929Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:08:14.8599621Z >>> sum = torch.sum(tensor) 2025-12-04T09:08:14.8599915Z >>> end_event.record() 2025-12-04T09:08:14.8600226Z >>> torch.accelerator.synchronize() 2025-12-04T09:08:14.8600633Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:08:14.8601095Z 2025-12-04T09:08:14.8601774Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:08:14.8602467Z 2025-12-04T09:08:14.8602726Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:08:14.8603210Z ^ 2025-12-04T09:08:14.8904322Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T09:08:14.8905195Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:14.8905682Z Retrieves the CUDA runtime API module. 2025-12-04T09:08:14.8905912Z 2025-12-04T09:08:14.8905917Z 2025-12-04T09:08:14.8906179Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:08:14.8906774Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:08:14.8907350Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:08:14.8907701Z 2025-12-04T09:08:14.8907782Z Args: 2025-12-04T09:08:14.8907990Z ``None`` 2025-12-04T09:08:14.8908120Z 2025-12-04T09:08:14.8908203Z Returns: 2025-12-04T09:08:14.8908471Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:08:14.8908722Z 2025-12-04T09:08:14.8908823Z Raises: 2025-12-04T09:08:14.8909246Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:08:14.8909955Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:08:14.8910449Z 2025-12-04T09:08:14.8910585Z Example of CUDA operations with profiling: 2025-12-04T09:08:14.8910929Z >>> import torch 2025-12-04T09:08:14.8911222Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:08:14.8911564Z >>> import os 2025-12-04T09:08:14.8911806Z >>> 2025-12-04T09:08:14.8912050Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:08:14.8912350Z >>> 2025-12-04T09:08:14.8912611Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:08:14.8912981Z >>> stream = torch.cuda.Stream() 2025-12-04T09:08:14.8913315Z >>> with torch.cuda.stream(stream): 2025-12-04T09:08:14.8913673Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:08:14.8914048Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:08:14.8914386Z >>> z = torch.mul(x, y) 2025-12-04T09:08:14.8914689Z >>> return z 2025-12-04T09:08:14.8914938Z >>> 2025-12-04T09:08:14.8915165Z >>> torch.cuda.synchronize() 2025-12-04T09:08:14.8915510Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:08:14.8915904Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:08:14.8916297Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:08:14.8916695Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:08:14.8917096Z >>> print("CUDA operations completed.") 2025-12-04T09:08:14.8917495Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:08:14.8917887Z >>> print("====== End nsys profiling ======") 2025-12-04T09:08:14.8918132Z 2025-12-04T09:08:14.8918327Z To run this example and save the profiling information, execute: 2025-12-04T09:08:14.8919009Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:08:14.8919480Z 2025-12-04T09:08:14.8919731Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:08:14.8920435Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:08:14.8920991Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:08:14.8921493Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:08:14.8922063Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:08:14.8922544Z CSV file and print a summary, respectively. 2025-12-04T09:08:14.8923033Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:08:14.8923554Z overwrite of the output file if it already exists. 2025-12-04T09:08:14.8923890Z 2025-12-04T09:08:14.8924660Z 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)) 2025-12-04T09:08:14.8925425Z 2025-12-04T09:08:14.8925786Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:08:14.8926343Z ^ 2025-12-04T09:08:16.3869537Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T09:08:16.3870507Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:16.3870885Z 2025-12-04T09:08:16.3871102Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:08:16.3871638Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:08:16.3872160Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:08:16.3872605Z vectorizing those operations. 2025-12-04T09:08:16.3872806Z 2025-12-04T09:08:16.3873016Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:08:16.3873553Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:08:16.3874086Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:08:16.3874589Z compute batched gradients when composed with autograd. 2025-12-04T09:08:16.3874864Z 2025-12-04T09:08:16.3874990Z .. note:: 2025-12-04T09:08:16.3875284Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:08:16.3875720Z convenience. Use whichever one you'd like. 2025-12-04T09:08:16.3875971Z 2025-12-04T09:08:16.3876053Z Args: 2025-12-04T09:08:16.3876380Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:08:16.3876810Z Must return one or more Tensors. 2025-12-04T09:08:16.3877235Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:08:16.3877730Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:08:16.3878329Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:08:16.3878835Z input is None, then that indicates there is no map dimension. 2025-12-04T09:08:16.3879235Z Default: 0. 2025-12-04T09:08:16.3879569Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:08:16.3880080Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:08:16.3880556Z it should have one element per output. Default: 0. 2025-12-04T09:08:16.3881011Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:08:16.3881512Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:08:16.3882046Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:08:16.3882583Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:08:16.3883117Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:08:16.3883651Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:08:16.3884105Z Python's random module or numpy randomness. 2025-12-04T09:08:16.3884828Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:08:16.3885386Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:08:16.3885983Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:08:16.3886735Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:08:16.3887119Z 2025-12-04T09:08:16.3887216Z Returns: 2025-12-04T09:08:16.3887515Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:08:16.3888004Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:08:16.3888492Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:08:16.3888968Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:08:16.3889377Z specified by ``out_dims``. 2025-12-04T09:08:16.3889559Z 2025-12-04T09:08:16.3889651Z .. warning: 2025-12-04T09:08:16.3889973Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:08:16.3890690Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:08:16.3891232Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:08:16.3891820Z Python data structures and assigning values to variables not captured 2025-12-04T09:08:16.3892241Z in ``func``. 2025-12-04T09:08:16.3892386Z 2025-12-04T09:08:16.3892617Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:08:16.3893187Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:08:16.3893731Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:08:16.3894075Z 2025-12-04T09:08:16.3894189Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:08:16.3894593Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:08:16.3895042Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:08:16.3895366Z >>> batched_dot(x, y) 2025-12-04T09:08:16.3895542Z 2025-12-04T09:08:16.3895767Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:08:16.3896221Z model authoring experience. 2025-12-04T09:08:16.3896399Z 2025-12-04T09:08:16.3896504Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:08:16.3896895Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:08:16.3897267Z >>> 2025-12-04T09:08:16.3897482Z >>> def model(feature_vec): 2025-12-04T09:08:16.3897787Z >>> # Very simple linear model with activation 2025-12-04T09:08:16.3898152Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:08:16.3898473Z >>> 2025-12-04T09:08:16.3898727Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:08:16.3899110Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:08:16.3899333Z 2025-12-04T09:08:16.3899597Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:08:16.3900192Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:08:16.3900773Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:08:16.3901351Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:08:16.3902077Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:08:16.3902732Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:08:16.3903382Z call to ``autograd.grad``. 2025-12-04T09:08:16.3903716Z 2025-12-04T09:08:16.3903892Z >>> # Setup 2025-12-04T09:08:16.3904189Z >>> N = 5 2025-12-04T09:08:16.3904415Z >>> f = lambda x: x**2 2025-12-04T09:08:16.3904708Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:08:16.3905028Z >>> y = f(x) 2025-12-04T09:08:16.3905248Z >>> I_N = torch.eye(N) 2025-12-04T09:08:16.3905500Z >>> 2025-12-04T09:08:16.3905888Z >>> # Sequential approach 2025-12-04T09:08:16.3906284Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:08:16.3906734Z >>> for v in I_N.unbind()] 2025-12-04T09:08:16.3907180Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:08:16.3907483Z >>> 2025-12-04T09:08:16.3907714Z >>> # vectorized gradient computation 2025-12-04T09:08:16.3908030Z >>> def get_vjp(v): 2025-12-04T09:08:16.3908302Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:08:16.3908654Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:08:16.3908874Z 2025-12-04T09:08:16.3909222Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:08:16.3909612Z 2025-12-04T09:08:16.3909730Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:08:16.3910024Z >>> batched_dot = torch.vmap( 2025-12-04T09:08:16.3910325Z ... torch.vmap(torch.dot) 2025-12-04T09:08:16.3910639Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:08:16.3910989Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:08:16.3911365Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:08:16.3911596Z 2025-12-04T09:08:16.3911845Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:08:16.3912356Z the dimension that each inputs are batched along as 2025-12-04T09:08:16.3912617Z 2025-12-04T09:08:16.3912719Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:08:16.3913185Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:08:16.3913648Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:08:16.3913968Z >>> batched_dot( 2025-12-04T09:08:16.3914201Z ... x, y 2025-12-04T09:08:16.3914526Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:08:16.3914833Z 2025-12-04T09:08:16.3915099Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:08:16.3915686Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:08:16.3916014Z 2025-12-04T09:08:16.3916111Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:08:16.3916554Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:08:16.3917015Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:08:16.3917333Z >>> batched_dot( 2025-12-04T09:08:16.3917570Z ... x, y 2025-12-04T09:08:16.3917882Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:08:16.3918201Z 2025-12-04T09:08:16.3918432Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:08:16.3918898Z matching the shape of the input: 2025-12-04T09:08:16.3919095Z 2025-12-04T09:08:16.3919242Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:08:16.3919601Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:08:16.3919936Z >>> input = {"x": x, "y": y} 2025-12-04T09:08:16.3920301Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:08:16.3920678Z >>> batched_dot(input) 2025-12-04T09:08:16.3920861Z 2025-12-04T09:08:16.3921137Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:08:16.3921654Z along any dimension by using ``out_dims`` 2025-12-04T09:08:16.3921877Z 2025-12-04T09:08:16.3921983Z >>> f = lambda x: x**2 2025-12-04T09:08:16.3922240Z >>> x = torch.randn(2, 5) 2025-12-04T09:08:16.3922544Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:08:16.3922879Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:08:16.3923065Z 2025-12-04T09:08:16.3923350Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:08:16.3923857Z accept kwargs 2025-12-04T09:08:16.3923996Z 2025-12-04T09:08:16.3924091Z >>> x = torch.randn([2, 5]) 2025-12-04T09:08:16.3924465Z >>> def fn(x, scale=4.): 2025-12-04T09:08:16.3924728Z >>> return x * scale 2025-12-04T09:08:16.3924986Z >>> 2025-12-04T09:08:16.3925210Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:08:16.3925540Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:08:16.3926079Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:08:16.3926424Z 2025-12-04T09:08:16.3926645Z .. note:: 2025-12-04T09:08:16.3926976Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:08:16.3927418Z sequences out of the box. 2025-12-04T09:08:16.3927603Z 2025-12-04T09:08:16.3928145Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:08:16.3928781Z 2025-12-04T09:08:16.3928881Z _._ = None 2025-12-04T09:08:16.3929070Z ^ 2025-12-04T09:08:16.3929696Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T09:08:16.3930548Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:16.3931157Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:08:16.3931725Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:08:16.3932142Z compute higher-order gradients. 2025-12-04T09:08:16.3932363Z 2025-12-04T09:08:16.3932445Z Args: 2025-12-04T09:08:16.3932779Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:08:16.3933377Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:08:16.3934022Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:08:16.3934517Z ``(output, aux)``. 2025-12-04T09:08:16.3934984Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:08:16.3935577Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:08:16.3936119Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:08:16.3936627Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:08:16.3936902Z 2025-12-04T09:08:16.3937002Z Returns: 2025-12-04T09:08:16.3937401Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:08:16.3938042Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:08:16.3938667Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:08:16.3939308Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:08:16.3939805Z respect to each ``argnums`` value is returned. 2025-12-04T09:08:16.3940073Z 2025-12-04T09:08:16.3940180Z Example of using ``grad``: 2025-12-04T09:08:16.3940364Z 2025-12-04T09:08:16.3940474Z >>> # xdoctest: +SKIP 2025-12-04T09:08:16.3940749Z >>> from torch.func import grad 2025-12-04T09:08:16.3941070Z >>> x = torch.randn([]) 2025-12-04T09:08:16.3941375Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:08:16.3941719Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:08:16.3942037Z >>> 2025-12-04T09:08:16.3942260Z >>> # Second-order gradients 2025-12-04T09:08:16.3942608Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:08:16.3943004Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:08:16.3943256Z 2025-12-04T09:08:16.3943498Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:08:16.3943865Z 2025-12-04T09:08:16.3943970Z >>> # xdoctest: +SKIP 2025-12-04T09:08:16.3944260Z >>> from torch.func import grad, vmap 2025-12-04T09:08:16.3944711Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:08:16.3945021Z >>> 2025-12-04T09:08:16.3945265Z >>> def model(weights, feature_vec): 2025-12-04T09:08:16.3945607Z >>> # Very simple linear model with activation 2025-12-04T09:08:16.3946030Z >>> assert feature_vec.dim() == 1 2025-12-04T09:08:16.3946381Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:08:16.3946692Z >>> 2025-12-04T09:08:16.3946948Z >>> def compute_loss(weights, example, target): 2025-12-04T09:08:16.3947307Z >>> y = model(weights, example) 2025-12-04T09:08:16.3947646Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:08:16.3947978Z >>> 2025-12-04T09:08:16.3948271Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:08:16.3948702Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:08:16.3949160Z >>> targets = torch.randn(batch_size) 2025-12-04T09:08:16.3949525Z >>> inputs = (weights, examples, targets) 2025-12-04T09:08:16.3949996Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:08:16.3950436Z ... *inputs 2025-12-04T09:08:16.3950716Z ... ) 2025-12-04T09:08:16.3950843Z 2025-12-04T09:08:16.3951030Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:08:16.3951316Z 2025-12-04T09:08:16.3951412Z >>> # xdoctest: +SKIP 2025-12-04T09:08:16.3951707Z >>> from torch.func import grad 2025-12-04T09:08:16.3952029Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:08:16.3952374Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:08:16.3952718Z >>> loss = loss_per_sample.mean() 2025-12-04T09:08:16.3953067Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:08:16.3953388Z >>> 2025-12-04T09:08:16.3953644Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:08:16.3954011Z >>> y_true = torch.rand(4) 2025-12-04T09:08:16.3954339Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:08:16.3954676Z >>> out = fn(y_true, y_preds) 2025-12-04T09:08:16.3955122Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:08:16.3955496Z 2025-12-04T09:08:16.3955599Z .. note:: 2025-12-04T09:08:16.3955894Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:08:16.3956171Z 2025-12-04T09:08:16.3956315Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:08:16.3956585Z 2025-12-04T09:08:16.3956687Z >>> # xdoctest: +SKIP 2025-12-04T09:08:16.3956969Z >>> def f(x): 2025-12-04T09:08:16.3957226Z >>> with torch.no_grad(): 2025-12-04T09:08:16.3957537Z >>> c = x ** 2 2025-12-04T09:08:16.3957826Z >>> return x - c 2025-12-04T09:08:16.3958004Z 2025-12-04T09:08:16.3958215Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:08:16.3958527Z 2025-12-04T09:08:16.3958708Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:08:16.3959022Z 2025-12-04T09:08:16.3959120Z >>> # xdoctest: +SKIP 2025-12-04T09:08:16.3959421Z >>> with torch.no_grad(): 2025-12-04T09:08:16.3959708Z >>> grad(f)(x) 2025-12-04T09:08:16.3959891Z 2025-12-04T09:08:16.3960111Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:08:16.3960716Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:08:16.3961281Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:08:16.3961616Z 2025-12-04T09:08:16.3961698Z 2025-12-04T09:08:16.3962340Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:08:16.3963065Z 2025-12-04T09:08:16.3963165Z _._ = None 2025-12-04T09:08:16.3963361Z ^ 2025-12-04T09:08:19.6405506Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T09:08:19.6406783Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:19.6407322Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:08:19.6407622Z 2025-12-04T09:08:19.6407863Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:08:19.6408235Z 2025-12-04T09:08:19.6408463Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:08:19.6409034Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:08:19.6409523Z Given some input Tensors with certain properties 2025-12-04T09:08:19.6410053Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:08:19.6410535Z the output Tensors are. 2025-12-04T09:08:19.6410721Z 2025-12-04T09:08:19.6410924Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:08:19.6411257Z 2025-12-04T09:08:19.6411344Z Args: 2025-12-04T09:08:19.6411647Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:08:19.6412041Z implementation. 2025-12-04T09:08:19.6412225Z 2025-12-04T09:08:19.6412310Z Examples: 2025-12-04T09:08:19.6412546Z >>> import torch 2025-12-04T09:08:19.6412824Z >>> import numpy as np 2025-12-04T09:08:19.6413119Z >>> from torch import Tensor 2025-12-04T09:08:19.6413420Z >>> 2025-12-04T09:08:19.6413769Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:08:19.6414300Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:08:19.6414797Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:08:19.6415227Z >>> return (x @ weight.t()) + bias 2025-12-04T09:08:19.6415544Z >>> 2025-12-04T09:08:19.6415773Z >>> @linear.register_fake 2025-12-04T09:08:19.6416091Z >>> def _(x, weight, bias): 2025-12-04T09:08:19.6416400Z >>> assert x.dim() == 2 2025-12-04T09:08:19.6416705Z >>> assert weight.dim() == 2 2025-12-04T09:08:19.6417028Z >>> assert bias.dim() == 1 2025-12-04T09:08:19.6417371Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:08:19.6417740Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:08:19.6418098Z >>> assert x.device == weight.device 2025-12-04T09:08:19.6418476Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:08:19.6418823Z >>> 2025-12-04T09:08:19.6419048Z >>> x = torch.randn(2, 2) 2025-12-04T09:08:19.6419365Z >>> weight = torch.randn(2, 2) 2025-12-04T09:08:19.6419685Z >>> bias = torch.randn(2) 2025-12-04T09:08:19.6420008Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:08:19.6420446Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:08:19.6420891Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:08:19.6421387Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:08:19.6421826Z >>> 2025-12-04T09:08:19.6422133Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:08:19.6422627Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:08:19.6423043Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:08:19.6423375Z >>> x_np = x.cpu().numpy() 2025-12-04T09:08:19.6423723Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:08:19.6424411Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:08:19.6424801Z >>> 2025-12-04T09:08:19.6425045Z >>> @nonzero.register_fake 2025-12-04T09:08:19.6425355Z >>> def _(x): 2025-12-04T09:08:19.6425729Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:08:19.6426162Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:08:19.6426603Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:08:19.6426998Z >>> # represents the data-dependent size. 2025-12-04T09:08:19.6427360Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:08:19.6427708Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:08:19.6428042Z >>> shape = [nnz, x.dim()] 2025-12-04T09:08:19.6428397Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:08:19.6428758Z >>> return result 2025-12-04T09:08:19.6429035Z >>> 2025-12-04T09:08:19.6429350Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:08:19.6429719Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:08:19.6430125Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:08:19.6430518Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:08:19.6430903Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:08:19.6431157Z 2025-12-04T09:08:19.6431241Z 2025-12-04T09:08:19.6431893Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:08:19.6432532Z 2025-12-04T09:08:19.6432612Z _._ = None 2025-12-04T09:08:19.6432819Z ^ 2025-12-04T09:08:19.6626028Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T09:08:19.6627046Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:08:19.6627427Z 2025-12-04T09:08:19.6627656Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:08:19.6628259Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:08:19.6628618Z 2025-12-04T09:08:19.6628835Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:08:19.6629459Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:08:19.6630000Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:08:19.6630554Z information we will match a given input to the recorded profile, and return 2025-12-04T09:08:19.6631143Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:08:19.6631613Z doesn't exist then an exception will be thrown. 2025-12-04T09:08:19.6631871Z 2025-12-04T09:08:19.6632102Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:08:19.6632677Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:08:19.6633270Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:08:19.6633882Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:08:19.6634547Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:08:19.6635124Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:08:19.6635668Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:08:19.6636093Z potentially unsafe. 2025-12-04T09:08:19.6636247Z 2025-12-04T09:08:19.6636325Z Args: 2025-12-04T09:08:19.6636653Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:08:19.6637181Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:08:19.6637587Z kernels. 2025-12-04T09:08:19.6637890Z 2025-12-04T09:08:19.6637992Z Examples: 2025-12-04T09:08:19.6638113Z 2025-12-04T09:08:19.6638279Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:08:19.6638652Z >>> import torch 2025-12-04T09:08:19.6639049Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:08:19.6639437Z >>> 2025-12-04T09:08:19.6639761Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:08:19.6640461Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:08:19.6640804Z >>> return x + y 2025-12-04T09:08:19.6641056Z >>> 2025-12-04T09:08:19.6641270Z >>> class M(torch.nn.Module): 2025-12-04T09:08:19.6641581Z >>> def forward(self, a, b): 2025-12-04T09:08:19.6641938Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:08:19.6642284Z >>> return res 2025-12-04T09:08:19.6642542Z >>> 2025-12-04T09:08:19.6642835Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:08:19.6643208Z >>> 2025-12-04T09:08:19.6643613Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:08:19.6644162Z >>> decomp = ep.run_decompositions() 2025-12-04T09:08:19.6644391Z 2025-12-04T09:08:19.6644396Z 2025-12-04T09:08:19.6644891Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:08:19.6645482Z 2025-12-04T09:08:20.3635467Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T09:08:20.3636830Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:20.3637202Z 2025-12-04T09:08:20.3637544Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:08:20.3638199Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:08:20.3638809Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:08:20.3639335Z input by the user. 2025-12-04T09:08:20.3639725Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:08:20.3640263Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:08:20.3640602Z 2025-12-04T09:08:20.3640713Z Note:: 2025-12-04T09:08:20.3641151Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:08:20.3641657Z 2025-12-04T09:08:20.3641742Z Args: 2025-12-04T09:08:20.3641958Z model (nn.Module): 2025-12-04T09:08:20.3642399Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:08:20.3643042Z sparsified should be added separately using the register_layer() function 2025-12-04T09:08:20.3643516Z aggregate_fn (Optional, Callable): 2025-12-04T09:08:20.3644060Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:08:20.3644663Z specifies how inputs should be aggregated over time. 2025-12-04T09:08:20.3645269Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:08:20.3645768Z Example 2025-12-04T09:08:20.3646140Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:08:20.3646533Z reduce_fn (Optional, Callable): 2025-12-04T09:08:20.3647057Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:08:20.3647742Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:08:20.3648240Z calling agg_fn() on all inputs. 2025-12-04T09:08:20.3648605Z Example 2025-12-04T09:08:20.3648973Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:08:20.3649748Z mask_fn (Optional, Callable): 2025-12-04T09:08:20.3650345Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:08:20.3651127Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:08:20.3651793Z register_layer(). 2025-12-04T09:08:20.3652403Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:08:20.3652968Z arguments. 2025-12-04T09:08:20.3653295Z features (Optional, list): 2025-12-04T09:08:20.3653637Z default selected features to sparsify. 2025-12-04T09:08:20.3654201Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:08:20.3654845Z For example, 2025-12-04T09:08:20.3655290Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:08:20.3655849Z feature_dim (Optional, int): 2025-12-04T09:08:20.3656402Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:08:20.3656954Z for sparsification. 2025-12-04T09:08:20.3657284Z sparse_config (Dict): 2025-12-04T09:08:20.3657727Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:08:20.3658185Z with the mask_fn() 2025-12-04T09:08:20.3658389Z 2025-12-04T09:08:20.3658515Z Example: 2025-12-04T09:08:20.3658750Z >>> # xdoctest: +SKIP 2025-12-04T09:08:20.3659003Z >>> model = SomeModel() 2025-12-04T09:08:20.3659487Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:08:20.3659959Z >>> # Initialize aggregate_fn 2025-12-04T09:08:20.3660304Z >>> def agg_fn(x, y): 2025-12-04T09:08:20.3660560Z >>> return x + y 2025-12-04T09:08:20.3660833Z >>> 2025-12-04T09:08:20.3661070Z >>> # Initialize reduce_fn 2025-12-04T09:08:20.3661347Z >>> def reduce_fn(x): 2025-12-04T09:08:20.3661661Z >>> return torch.mean(x, dim=0) 2025-12-04T09:08:20.3661957Z >>> 2025-12-04T09:08:20.3662170Z >>> # Initialize mask_fn 2025-12-04T09:08:20.3662503Z >>> def mask_fn(data): 2025-12-04T09:08:20.3662805Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:08:20.3663163Z >>> 2025-12-04T09:08:20.3663398Z >>> 2025-12-04T09:08:20.3663614Z >>> act_sparsifier.register_layer( 2025-12-04T09:08:20.3663950Z ... model.some_layer, 2025-12-04T09:08:20.3664270Z ... aggregate_fn=agg_fn, 2025-12-04T09:08:20.3664555Z ... reduce_fn=reduce_fn, 2025-12-04T09:08:20.3664881Z ... mask_fn=mask_fn, 2025-12-04T09:08:20.3665141Z ... ) 2025-12-04T09:08:20.3665340Z >>> 2025-12-04T09:08:20.3665601Z >>> # start training process 2025-12-04T09:08:20.3665885Z >>> for _ in [...]: 2025-12-04T09:08:20.3666137Z >>> # epoch starts 2025-12-04T09:08:20.3666512Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:08:20.3666890Z >>> # epoch ends 2025-12-04T09:08:20.3667205Z >>> act_sparsifier.step() 2025-12-04T09:08:20.3667499Z >>> # end training process 2025-12-04T09:08:20.3667788Z >>> sparsifier.squash_mask() 2025-12-04T09:08:20.3668046Z 2025-12-04T09:08:20.3668565Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:08:20.3669321Z 2025-12-04T09:08:20.3669454Z _._ = None 2025-12-04T09:08:20.3669673Z ^ 2025-12-04T09:08:21.0997294Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T09:08:21.0998299Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:21.0998669Z 2025-12-04T09:08:21.0999235Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:08:21.0999895Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:08:21.1000385Z ``mesh_dim_names`` 2025-12-04T09:08:21.1000640Z 2025-12-04T09:08:21.1000735Z Args: 2025-12-04T09:08:21.1001083Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:08:21.1001636Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:08:21.1002027Z Returns: 2025-12-04T09:08:21.1002257Z A :class:`DeviceMesh` object 2025-12-04T09:08:21.1002449Z 2025-12-04T09:08:21.1002738Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:08:21.1003250Z In the first example: 2025-12-04T09:08:21.1003668Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:08:21.1004282Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:08:21.1004880Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:08:21.1005450Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:08:21.1006022Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:08:21.1006579Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:08:21.1006932Z 2025-12-04T09:08:21.1007026Z In the second example: 2025-12-04T09:08:21.1007455Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:08:21.1008109Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:08:21.1008744Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:08:21.1009412Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:08:21.1009798Z 2025-12-04T09:08:21.1009917Z Example:: 2025-12-04T09:08:21.1010034Z 2025-12-04T09:08:21.1010150Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:08:21.1010522Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:08:21.1010891Z >>> 2025-12-04T09:08:21.1011209Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:08:21.1011657Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:08:21.1012162Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:08:21.1012640Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:08:21.1012917Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:08:21.1013185Z >>> 2025-12-04T09:08:21.1013400Z >>> # Initialize a 3D mesh. 2025-12-04T09:08:21.1013865Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:08:21.1014561Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:08:21.1015104Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:08:21.1015437Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:08:21.1015652Z 2025-12-04T09:08:21.1016337Z 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)) 2025-12-04T09:08:21.1017143Z 2025-12-04T09:08:21.1017386Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:08:21.1017870Z ^ 2025-12-04T09:08:21.6287751Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T09:08:21.6288992Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:21.6289378Z 2025-12-04T09:08:21.6289667Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:08:21.6290076Z 2025-12-04T09:08:21.6290684Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:08:21.6291104Z 2025-12-04T09:08:21.6291399Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:08:21.6291908Z will be visible to the whole process. 2025-12-04T09:08:21.6292136Z 2025-12-04T09:08:21.6292411Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:08:21.6292808Z 2025-12-04T09:08:21.6292939Z 1) set_up_planner - called on all ranks. 2025-12-04T09:08:21.6293275Z Signals the start of a checkpoint save. 2025-12-04T09:08:21.6293517Z 2025-12-04T09:08:21.6293635Z 2) create_local_plan - called on all ranks. 2025-12-04T09:08:21.6294153Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:08:21.6294560Z 2025-12-04T09:08:21.6294749Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:08:21.6295274Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:08:21.6295588Z 2025-12-04T09:08:21.6295696Z 4) finish_plan - called on all ranks. 2025-12-04T09:08:21.6296122Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:08:21.6296467Z 2025-12-04T09:08:21.6296615Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:08:21.6297086Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:08:21.6297402Z 2025-12-04T09:08:21.6297701Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:08:21.6298309Z most changes can be expressed by changes in a single method. 2025-12-04T09:08:21.6298600Z 2025-12-04T09:08:21.6298732Z There are 3 usual patterns of extension: 2025-12-04T09:08:21.6298953Z 2025-12-04T09:08:21.6299216Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:08:21.6299806Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:08:21.6300161Z 2025-12-04T09:08:21.6300270Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:21.6300618Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:08:21.6300943Z >>> def set_up_planner( 2025-12-04T09:08:21.6301201Z >>> self, 2025-12-04T09:08:21.6301443Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:08:21.6301771Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:08:21.6302107Z >>> is_coordinator: bool, 2025-12-04T09:08:21.6302393Z >>> ) -> None: 2025-12-04T09:08:21.6302641Z >>> # prefix all keys with `foo_`` 2025-12-04T09:08:21.6303119Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:08:21.6303535Z 2025-12-04T09:08:21.6303865Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:08:21.6304316Z 2025-12-04T09:08:21.6304436Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:21.6304769Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:08:21.6305110Z >>> def create_local_plan(self): 2025-12-04T09:08:21.6305435Z >>> plan = super().create_local_plan() 2025-12-04T09:08:21.6305764Z >>> for p in plan: 2025-12-04T09:08:21.6306044Z >>> if p.tensor_data is not None: 2025-12-04T09:08:21.6306428Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:08:21.6306799Z >>> return plan 2025-12-04T09:08:21.6307031Z >>> 2025-12-04T09:08:21.6307256Z >>> def resolve_data(self, write_item): 2025-12-04T09:08:21.6307600Z >>> item = super().resolve_data(write_item) 2025-12-04T09:08:21.6308356Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:08:21.6308815Z 2025-12-04T09:08:21.6309269Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:08:21.6310634Z 2025-12-04T09:08:21.6310932Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:21.6311932Z >>> from itertools import zip_longest 2025-12-04T09:08:21.6312344Z >>> from dataclasses import replace 2025-12-04T09:08:21.6312850Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:08:21.6313514Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:08:21.6314104Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:08:21.6314604Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:08:21.6315093Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:08:21.6315592Z >>> items_per_rank = [ 2025-12-04T09:08:21.6315968Z >>> [item for item in items if item is not None] 2025-12-04T09:08:21.6316478Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:08:21.6316979Z >>> ] 2025-12-04T09:08:21.6317256Z >>> all_plans = [ 2025-12-04T09:08:21.6317685Z >>> replace(plan, items=items) 2025-12-04T09:08:21.6318239Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:08:21.6318734Z >>> ] 2025-12-04T09:08:21.6319054Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:08:21.6319404Z 2025-12-04T09:08:21.6319715Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:08:21.6320469Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:08:21.6321024Z the global planner aggregate them: 2025-12-04T09:08:21.6321336Z 2025-12-04T09:08:21.6321495Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:21.6321963Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:08:21.6322450Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:08:21.6322906Z >>> plan = super().create_local_plan() 2025-12-04T09:08:21.6323449Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:08:21.6323894Z >>> 2025-12-04T09:08:21.6324472Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:08:21.6325188Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:08:21.6325747Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:08:21.6326341Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:08:21.6326791Z >>> return global_plan, metadata 2025-12-04T09:08:21.6327092Z 2025-12-04T09:08:21.6327633Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:08:21.6328391Z 2025-12-04T09:08:21.6328505Z _._ = None 2025-12-04T09:08:21.6328820Z ^ 2025-12-04T09:08:21.6329675Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T09:08:21.6330707Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:21.6331217Z 2025-12-04T09:08:21.6331533Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:08:21.6331998Z 2025-12-04T09:08:21.6332348Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:08:21.6332807Z 2025-12-04T09:08:21.6333168Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:08:21.6333740Z will be visible to the whole process. 2025-12-04T09:08:21.6334006Z 2025-12-04T09:08:21.6334343Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:08:21.6334829Z 2025-12-04T09:08:21.6335078Z 1) set_up_planner - called on all ranks. 2025-12-04T09:08:21.6335537Z Signals the start of loading a checkpoint. 2025-12-04T09:08:21.6335781Z 2025-12-04T09:08:21.6335974Z 2) create_local_plan - called on all ranks. 2025-12-04T09:08:21.6336611Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:08:21.6337151Z 2025-12-04T09:08:21.6337361Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:08:21.6338049Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:08:21.6338393Z 2025-12-04T09:08:21.6338564Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:08:21.6339085Z This is called once per non-tensor value in state_dict. 2025-12-04T09:08:21.6339373Z 2025-12-04T09:08:21.6339734Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:08:21.6340358Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:08:21.6340677Z 2025-12-04T09:08:21.6341015Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:08:21.6341757Z most changes can be expressed by changes in a single method. 2025-12-04T09:08:21.6342080Z 2025-12-04T09:08:21.6342291Z There are two usual patterns of extension: 2025-12-04T09:08:21.6342552Z 2025-12-04T09:08:21.6342868Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:08:21.6343609Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:08:21.6344317Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:08:21.6344878Z we need to be able to perform it in place 2025-12-04T09:08:21.6345171Z 2025-12-04T09:08:21.6345430Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:21.6345837Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:08:21.6346263Z >>> def set_up_planner( 2025-12-04T09:08:21.6346671Z >>> self, 2025-12-04T09:08:21.6346977Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:08:21.6347380Z >>> metadata: Metadata, 2025-12-04T09:08:21.6347821Z >>> is_coordinator: bool, 2025-12-04T09:08:21.6348166Z >>> ) -> None: 2025-12-04T09:08:21.6348504Z >>> self.original_state_dict = state_dict 2025-12-04T09:08:21.6349152Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:08:21.6349640Z >>> 2025-12-04T09:08:21.6349903Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:08:21.6350487Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:08:21.6350943Z >>> 2025-12-04T09:08:21.6351192Z >>> if self.flatten_state_dict: 2025-12-04T09:08:21.6351735Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:08:21.6352226Z >>> 2025-12-04T09:08:21.6352474Z >>> self.state_dict = state_dict 2025-12-04T09:08:21.6352948Z >>> self.metadata = metadata 2025-12-04T09:08:21.6353379Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:08:21.6353804Z >>> 2025-12-04T09:08:21.6354111Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:08:21.6354540Z >>> # Remove the "foo_" prefix 2025-12-04T09:08:21.6355210Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:08:21.6355708Z 2025-12-04T09:08:21.6355712Z 2025-12-04T09:08:21.6355999Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:08:21.6356458Z 2025-12-04T09:08:21.6356599Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:21.6357077Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:08:21.6357582Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:08:21.6357990Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:08:21.6358512Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:08:21.6366573Z >>> 2025-12-04T09:08:21.6366979Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:08:21.6367385Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:08:21.6367674Z 2025-12-04T09:08:21.6368223Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:08:21.6368956Z 2025-12-04T09:08:21.6369042Z _._ = None 2025-12-04T09:08:21.6369253Z ^ 2025-12-04T09:08:22.0495840Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T09:08:22.0496816Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:22.0497193Z 2025-12-04T09:08:22.0497401Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:08:22.0497925Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:08:22.0498437Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:08:22.0499003Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:08:22.0499548Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:08:22.0499958Z follows: 2025-12-04T09:08:22.0500084Z 2025-12-04T09:08:22.0500207Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:08:22.0500689Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:08:22.0501172Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:08:22.0501605Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:08:22.0502148Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:08:22.0502601Z >>> state = fsdp.state_dict() 2025-12-04T09:08:22.0503023Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:08:22.0503581Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:08:22.0504178Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:08:22.0504644Z >>> if dist.get_rank() == 0: 2025-12-04T09:08:22.0505010Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:08:22.0505449Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:08:22.0505818Z >>> model.load_state_dict(state_dict) 2025-12-04T09:08:22.0506281Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:08:22.0506868Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:08:22.0507323Z >>> fsdp = FSDP( 2025-12-04T09:08:22.0507560Z ... model, 2025-12-04T09:08:22.0507815Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:08:22.0508169Z ... auto_wrap_policy=..., 2025-12-04T09:08:22.0508521Z ... sync_module_states=True, 2025-12-04T09:08:22.0508802Z ... ) 2025-12-04T09:08:22.0509208Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:08:22.0509555Z 2025-12-04T09:08:22.0509642Z Attributes: 2025-12-04T09:08:22.0509971Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:08:22.0510486Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:08:22.0510968Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:08:22.0511235Z 2025-12-04T09:08:22.0511750Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:08:22.0512355Z 2025-12-04T09:08:22.0512452Z _._ = None 2025-12-04T09:08:22.0512647Z ^ 2025-12-04T09:08:24.3110009Z msg = Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T09:08:24.3111302Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:24.3111836Z Register a parametrization to a tensor in a module. 2025-12-04T09:08:24.3112106Z 2025-12-04T09:08:24.3112379Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:08:24.3113175Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:08:24.3113840Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:08:24.3114517Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:08:24.3114926Z 2025-12-04T09:08:24.3115236Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:08:24.3115915Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:08:24.3116271Z 2025-12-04T09:08:24.3116534Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:08:24.3117042Z ``module.parametrizations.weight``. 2025-12-04T09:08:24.3117268Z 2025-12-04T09:08:24.3117401Z The original tensor will be accessible under 2025-12-04T09:08:24.3117789Z ``module.parametrizations.weight.original``. 2025-12-04T09:08:24.3118044Z 2025-12-04T09:08:24.3118316Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:08:24.3118790Z on the same attribute. 2025-12-04T09:08:24.3118974Z 2025-12-04T09:08:24.3119213Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:08:24.3119711Z to match the training mode of the host module 2025-12-04T09:08:24.3119951Z 2025-12-04T09:08:24.3120268Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:08:24.3120814Z using the context manager :func:`cached`. 2025-12-04T09:08:24.3121056Z 2025-12-04T09:08:24.3121293Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:08:24.3121651Z 2025-12-04T09:08:24.3121794Z .. code-block:: python 2025-12-04T09:08:24.3121964Z 2025-12-04T09:08:24.3122194Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:08:24.3122561Z 2025-12-04T09:08:24.3122842Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:08:24.3123428Z is registered to compute the initial value of the original tensor. 2025-12-04T09:08:24.3124065Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:08:24.3124489Z 2025-12-04T09:08:24.3124813Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:08:24.3125539Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:08:24.3125946Z 2025-12-04T09:08:24.3126170Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:08:24.3126768Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:08:24.3127366Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:08:24.3127713Z 2025-12-04T09:08:24.3128064Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:08:24.3128640Z with names ``original0``, ``original1``,... 2025-12-04T09:08:24.3128890Z 2025-12-04T09:08:24.3128976Z .. note:: 2025-12-04T09:08:24.3129103Z 2025-12-04T09:08:24.3129386Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:08:24.3129914Z once to perform a number of consistency checks. 2025-12-04T09:08:24.3130443Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:08:24.3130956Z and nothing will be called otherwise. 2025-12-04T09:08:24.3131180Z 2025-12-04T09:08:24.3131276Z .. note:: 2025-12-04T09:08:24.3131472Z 2025-12-04T09:08:24.3131675Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:08:24.3132124Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:08:24.3132658Z `right inverse `_). 2025-12-04T09:08:24.3133379Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:08:24.3133837Z to relax this. 2025-12-04T09:08:24.3134001Z 2025-12-04T09:08:24.3134087Z .. warning:: 2025-12-04T09:08:24.3134222Z 2025-12-04T09:08:24.3134512Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:08:24.3135157Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:08:24.3135813Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:08:24.3136415Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:08:24.3136723Z 2025-12-04T09:08:24.3136821Z Args: 2025-12-04T09:08:24.3137144Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:08:24.3137695Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:08:24.3138139Z the parametrization 2025-12-04T09:08:24.3138528Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:08:24.3138942Z Keyword args: 2025-12-04T09:08:24.3139288Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:08:24.3139815Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:08:24.3140396Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:08:24.3140893Z Enable this flag at your own risk. 2025-12-04T09:08:24.3141129Z 2025-12-04T09:08:24.3141210Z Raises: 2025-12-04T09:08:24.3141625Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:08:24.3142029Z 2025-12-04T09:08:24.3142126Z Examples: 2025-12-04T09:08:24.3142396Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:08:24.3142758Z >>> import torch 2025-12-04T09:08:24.3143025Z >>> import torch.nn as nn 2025-12-04T09:08:24.3143340Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:08:24.3143670Z >>> 2025-12-04T09:08:24.3143898Z >>> class Symmetric(nn.Module): 2025-12-04T09:08:24.3144203Z >>> def forward(self, X): 2025-12-04T09:08:24.3144580Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:08:24.3144961Z >>> 2025-12-04T09:08:24.3145190Z >>> def right_inverse(self, A): 2025-12-04T09:08:24.3145496Z >>> return A.triu() 2025-12-04T09:08:24.3145774Z >>> 2025-12-04T09:08:24.3145990Z >>> m = nn.Linear(5, 5) 2025-12-04T09:08:24.3146330Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:08:24.3146851Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:08:24.3147298Z True 2025-12-04T09:08:24.3147516Z >>> A = torch.rand(5, 5) 2025-12-04T09:08:24.3147812Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:08:24.3148228Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:08:24.3148658Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:08:24.3148974Z True 2025-12-04T09:08:24.3149197Z 2025-12-04T09:08:24.3149303Z >>> class RankOne(nn.Module): 2025-12-04T09:08:24.3149619Z >>> def forward(self, x, y): 2025-12-04T09:08:24.3149961Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:08:24.3150349Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:08:24.3150682Z >>> 2025-12-04T09:08:24.3150986Z >>> def right_inverse(self, Z): 2025-12-04T09:08:24.3151327Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:08:24.3151708Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:08:24.3152083Z >>> # Return rescaled singular vectors 2025-12-04T09:08:24.3152494Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:08:24.3152874Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:08:24.3153226Z >>> 2025-12-04T09:08:24.3153480Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:08:24.3153867Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:08:24.3154184Z ... ) 2025-12-04T09:08:24.3154498Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:08:24.3154899Z 1 2025-12-04T09:08:24.3155012Z 2025-12-04T09:08:24.3155100Z 2025-12-04T09:08:24.3155735Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:08:24.3156386Z 2025-12-04T09:08:24.3156464Z _._ = None 2025-12-04T09:08:24.3156671Z ^ 2025-12-04T09:08:24.4369835Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T09:08:24.4370828Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:24.4371366Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:08:24.4371668Z 2025-12-04T09:08:24.4371869Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:08:24.4372376Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:08:24.4372864Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:08:24.4373298Z of epochs, the learning rate is reduced. 2025-12-04T09:08:24.4373536Z 2025-12-04T09:08:24.4373620Z Args: 2025-12-04T09:08:24.4373876Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:08:24.4374263Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:08:24.4374685Z be reduced when the quantity monitored has stopped 2025-12-04T09:08:24.4375122Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:08:24.4375582Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:08:24.4376065Z factor (float): Factor by which the learning rate will be 2025-12-04T09:08:24.4376491Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:08:24.4376950Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:08:24.4377421Z which the learning rate will be reduced. 2025-12-04T09:08:24.4377890Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:08:24.4378612Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:08:24.4379289Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:08:24.4379761Z we have what is considered an intolerable epoch. 2025-12-04T09:08:24.4380294Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:08:24.4380850Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:08:24.4381445Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:08:24.4382204Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:08:24.4382759Z the learning rate is not adjusted. 2025-12-04T09:08:24.4383070Z Default: 10. 2025-12-04T09:08:24.4383422Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:08:24.4384147Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:08:24.4384598Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:08:24.4385058Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:08:24.4385589Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:08:24.4386005Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:08:24.4386466Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:08:24.4386924Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:08:24.4387389Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:08:24.4387868Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:08:24.4388295Z lower bound on the learning rate of all param groups 2025-12-04T09:08:24.4388709Z or each group respectively. Default: 0. 2025-12-04T09:08:24.4389215Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:08:24.4389695Z between new and old lr is smaller than eps, the update is 2025-12-04T09:08:24.4390087Z ignored. Default: 1e-8. 2025-12-04T09:08:24.4390473Z 2025-12-04T09:08:24.4390559Z Example: 2025-12-04T09:08:24.4390793Z >>> # xdoctest: +SKIP 2025-12-04T09:08:24.4391194Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:08:24.4391703Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:08:24.4392080Z >>> for epoch in range(10): 2025-12-04T09:08:24.4392379Z >>> train(...) 2025-12-04T09:08:24.4392642Z >>> val_loss = validate(...) 2025-12-04T09:08:24.4393002Z >>> # Note that step should be called after validate() 2025-12-04T09:08:24.4393380Z >>> scheduler.step(val_loss) 2025-12-04T09:08:24.4393591Z 2025-12-04T09:08:24.4393812Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:08:24.4394196Z 2025-12-04T09:08:24.4394723Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:08:24.4395250Z 2025-12-04T09:08:24.4395369Z scheduler.step(val_loss) 2025-12-04T09:08:24.4395623Z ^ 2025-12-04T09:08:27.9299767Z running 894 test(s) 2025-12-04T09:08:27.9360328Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file 2025-12-04T09:08:27.9370495Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0 2025-12-04T09:08:27.9371628Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file 2025-12-04T09:08:27.9375396Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0 2025-12-04T09:08:27.9376547Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file 2025-12-04T09:08:27.9385523Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0 2025-12-04T09:08:27.9387067Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file 2025-12-04T09:08:27.9389541Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0 2025-12-04T09:08:27.9392089Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1296 <- wrt source file 2025-12-04T09:08:27.9394568Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0 2025-12-04T09:08:27.9397144Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file 2025-12-04T09:08:27.9399439Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0 2025-12-04T09:08:27.9402001Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file 2025-12-04T09:08:27.9404428Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2025-12-04T09:08:27.9406595Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file 2025-12-04T09:08:27.9408606Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0 2025-12-04T09:08:27.9410902Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2963 <- wrt source file 2025-12-04T09:08:27.9413571Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2025-12-04T09:08:27.9418100Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file 2025-12-04T09:08:27.9420786Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0 2025-12-04T09:08:27.9423293Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file 2025-12-04T09:08:27.9425821Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0 2025-12-04T09:08:27.9428158Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2025-12-04T09:08:27.9430370Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0 2025-12-04T09:08:27.9432196Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file 2025-12-04T09:08:27.9434273Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0 2025-12-04T09:08:27.9436392Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file 2025-12-04T09:08:28.0008028Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0 2025-12-04T09:08:28.0009586Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2025-12-04T09:08:28.0011104Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0 2025-12-04T09:08:28.0012338Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file 2025-12-04T09:08:28.0023186Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0 2025-12-04T09:08:28.0024502Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 738 <- wrt source file 2025-12-04T09:08:28.0047020Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2025-12-04T09:08:28.0048495Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file 2025-12-04T09:08:28.0159018Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0 2025-12-04T09:08:28.0162231Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file 2025-12-04T09:08:28.0168743Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0 2025-12-04T09:08:28.0169969Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file 2025-12-04T09:08:28.0178134Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0 2025-12-04T09:08:28.0179324Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1522 <- wrt source file 2025-12-04T09:08:28.0190190Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2025-12-04T09:08:28.0192686Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file 2025-12-04T09:08:28.0212763Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0 2025-12-04T09:08:28.0215004Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2025-12-04T09:08:28.0231409Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0 2025-12-04T09:08:28.0233725Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file 2025-12-04T09:08:28.0239902Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0 2025-12-04T09:08:28.0242062Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file 2025-12-04T09:08:28.0245025Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0 2025-12-04T09:08:28.0247153Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0, line 144 <- wrt source file 2025-12-04T09:08:28.0262221Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0 2025-12-04T09:08:28.0264326Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file 2025-12-04T09:08:28.0283933Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0 2025-12-04T09:08:28.0286069Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file 2025-12-04T09:08:28.0323991Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0 2025-12-04T09:08:28.0326199Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file 2025-12-04T09:08:28.0374307Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0 2025-12-04T09:08:28.0376653Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file 2025-12-04T09:08:28.0389157Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0 2025-12-04T09:08:28.0391837Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file 2025-12-04T09:08:28.0403388Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0 2025-12-04T09:08:28.0405782Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file 2025-12-04T09:08:28.0412540Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0 2025-12-04T09:08:28.0414773Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file 2025-12-04T09:08:28.0424703Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0 2025-12-04T09:08:28.0426845Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file 2025-12-04T09:08:28.0441247Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0 2025-12-04T09:08:28.0443410Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file 2025-12-04T09:08:28.0460970Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0 2025-12-04T09:08:28.0463161Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file 2025-12-04T09:08:28.0482065Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0 2025-12-04T09:08:28.0484265Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file 2025-12-04T09:08:28.0508420Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0 2025-12-04T09:08:28.0510612Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file 2025-12-04T09:08:28.0546981Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0 2025-12-04T09:08:28.0549202Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file 2025-12-04T09:08:28.0582268Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0 2025-12-04T09:08:28.0584483Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file 2025-12-04T09:08:28.0586739Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0 2025-12-04T09:08:28.0588900Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file 2025-12-04T09:08:28.0591306Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0 2025-12-04T09:08:28.0593331Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0, line 477 <- wrt source file 2025-12-04T09:08:28.0595292Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0 2025-12-04T09:08:28.0597184Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0, line 537 <- wrt source file 2025-12-04T09:08:28.0599137Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0 2025-12-04T09:08:28.0601236Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0, line 628 <- wrt source file 2025-12-04T09:08:28.0603211Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0 2025-12-04T09:08:28.0605290Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file 2025-12-04T09:08:28.0607337Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0 2025-12-04T09:08:28.0609451Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0, line 711 <- wrt source file 2025-12-04T09:08:28.0611683Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0 2025-12-04T09:08:28.0613910Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0, line 852 <- wrt source file 2025-12-04T09:08:28.0616214Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0 2025-12-04T09:08:28.0618456Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file 2025-12-04T09:08:28.0620681Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0 2025-12-04T09:08:28.0623015Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 239 <- wrt source file 2025-12-04T09:08:28.0625565Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2025-12-04T09:08:28.0627888Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file 2025-12-04T09:08:28.0630160Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0 2025-12-04T09:08:28.0632239Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0, line 521 <- wrt source file 2025-12-04T09:08:28.0644644Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0 2025-12-04T09:08:28.0646744Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0, line 627 <- wrt source file 2025-12-04T09:08:28.0663220Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0 2025-12-04T09:08:28.0665357Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file 2025-12-04T09:08:28.0667606Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0 2025-12-04T09:08:28.0669899Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file 2025-12-04T09:08:28.0672186Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0 2025-12-04T09:08:28.0674450Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file 2025-12-04T09:08:28.0886315Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0 2025-12-04T09:08:28.0888987Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file 2025-12-04T09:08:28.0989013Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0 2025-12-04T09:08:28.0991902Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file 2025-12-04T09:08:28.1195230Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0 2025-12-04T09:08:28.1197711Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file 2025-12-04T09:08:28.1199731Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0 2025-12-04T09:08:28.1201694Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file 2025-12-04T09:08:28.1206412Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0 2025-12-04T09:08:28.1208826Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file 2025-12-04T09:08:28.1247241Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0 2025-12-04T09:08:28.1249633Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file 2025-12-04T09:08:28.1252012Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0 2025-12-04T09:08:28.1254377Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file 2025-12-04T09:08:28.1256782Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0 2025-12-04T09:08:28.1259224Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1974 <- wrt source file 2025-12-04T09:08:28.1292399Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2025-12-04T09:08:28.1294709Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file 2025-12-04T09:08:28.1304200Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0 2025-12-04T09:08:28.1306465Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2025-12-04T09:08:28.1308774Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0 2025-12-04T09:08:28.1311188Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file 2025-12-04T09:08:28.1313670Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0 2025-12-04T09:08:28.1315955Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file 2025-12-04T09:08:28.1318232Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0 2025-12-04T09:08:28.1320336Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file 2025-12-04T09:08:28.1322629Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0 2025-12-04T09:08:28.1325229Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file 2025-12-04T09:08:28.1327721Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0 2025-12-04T09:08:28.1329857Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file 2025-12-04T09:08:28.1332207Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0 2025-12-04T09:08:28.1334253Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file 2025-12-04T09:08:28.1336412Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0 2025-12-04T09:08:28.1338544Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file 2025-12-04T09:08:28.1340879Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0 2025-12-04T09:08:28.1343228Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 349 <- wrt source file 2025-12-04T09:08:28.1345717Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2025-12-04T09:08:28.1348107Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file 2025-12-04T09:08:28.1359960Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0 2025-12-04T09:08:28.1362580Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1911 <- wrt source file 2025-12-04T09:08:28.1367100Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2025-12-04T09:08:28.1369663Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file 2025-12-04T09:08:28.1375075Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2025-12-04T09:08:28.1377643Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0, line 171 <- wrt source file 2025-12-04T09:08:28.1380298Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0 2025-12-04T09:08:28.1382787Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file 2025-12-04T09:08:28.1385231Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0 2025-12-04T09:08:28.1387604Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 130 <- wrt source file 2025-12-04T09:08:28.1390078Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2025-12-04T09:08:28.1392642Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 186 <- wrt source file 2025-12-04T09:08:28.4086063Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2025-12-04T09:08:28.4088259Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file 2025-12-04T09:08:28.4090943Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2025-12-04T09:08:28.4093124Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file 2025-12-04T09:08:28.4095655Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0 2025-12-04T09:08:28.4097812Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 469 <- wrt source file 2025-12-04T09:08:28.4100331Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2025-12-04T09:08:28.4102653Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file 2025-12-04T09:08:28.4105202Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0 2025-12-04T09:08:28.4107567Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 502 <- wrt source file 2025-12-04T09:08:28.4110198Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0 2025-12-04T09:08:28.4112687Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 522 <- wrt source file 2025-12-04T09:08:28.4115161Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0 2025-12-04T09:08:28.4117530Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file 2025-12-04T09:08:28.4119863Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0 2025-12-04T09:08:28.4122042Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file 2025-12-04T09:08:28.4124171Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0 2025-12-04T09:08:28.4126098Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file 2025-12-04T09:08:28.4128183Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0 2025-12-04T09:08:28.4130497Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file 2025-12-04T09:08:28.4132849Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0 2025-12-04T09:08:28.4135122Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file 2025-12-04T09:08:28.4137396Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0 2025-12-04T09:08:28.4139784Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 201 <- wrt source file 2025-12-04T09:08:28.4142409Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2025-12-04T09:08:28.4144942Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0, line 235 <- wrt source file 2025-12-04T09:08:28.4147510Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0 2025-12-04T09:08:28.4150026Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 265 <- wrt source file 2025-12-04T09:08:28.4151594Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0 2025-12-04T09:08:28.4152833Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file 2025-12-04T09:08:28.4154045Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0 2025-12-04T09:08:28.4155200Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file 2025-12-04T09:08:28.4156326Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0 2025-12-04T09:08:28.4157783Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file 2025-12-04T09:08:28.4167040Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0 2025-12-04T09:08:28.4169459Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file 2025-12-04T09:08:28.4171648Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0 2025-12-04T09:08:28.4173414Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file 2025-12-04T09:08:28.4193548Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2025-12-04T09:08:28.4195857Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file 2025-12-04T09:08:28.4201573Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0 2025-12-04T09:08:28.4203808Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file 2025-12-04T09:08:28.4274803Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0 2025-12-04T09:08:28.4277210Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file 2025-12-04T09:08:28.4283494Z W1204 09:08:28.427000 991 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. 2025-12-04T09:08:28.4302843Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2025-12-04T09:08:28.4305286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file 2025-12-04T09:08:28.4324572Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0 2025-12-04T09:08:28.4326798Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file 2025-12-04T09:08:28.4352425Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0 2025-12-04T09:08:28.4355642Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file 2025-12-04T09:08:28.4386940Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2025-12-04T09:08:28.4389707Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file 2025-12-04T09:08:28.4449554Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2025-12-04T09:08:28.4452070Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 361 <- wrt source file 2025-12-04T09:08:28.4454655Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2025-12-04T09:08:28.4457342Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 328 <- wrt source file 2025-12-04T09:08:28.4460182Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2025-12-04T09:08:28.4463306Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0, line 1316 <- wrt source file 2025-12-04T09:08:28.4466741Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0 2025-12-04T09:08:28.4469806Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1441 <- wrt source file 2025-12-04T09:08:28.4472572Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0 2025-12-04T09:08:28.4475498Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 194 <- wrt source file 2025-12-04T09:08:28.4478628Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0 2025-12-04T09:08:28.4481449Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0, line 262 <- wrt source file 2025-12-04T09:08:28.4484107Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0 2025-12-04T09:08:28.4486640Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 771 <- wrt source file 2025-12-04T09:08:28.4797282Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2025-12-04T09:08:28.4800315Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file 2025-12-04T09:08:28.4802996Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2025-12-04T09:08:28.4805205Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file 2025-12-04T09:08:28.4848839Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2025-12-04T09:08:28.4851490Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file 2025-12-04T09:08:28.4933770Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2025-12-04T09:08:28.4936452Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file 2025-12-04T09:08:28.7304010Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2025-12-04T09:08:28.7306328Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file 2025-12-04T09:08:28.7381098Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2025-12-04T09:08:28.7383495Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file 2025-12-04T09:08:28.7405973Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2025-12-04T09:08:28.7409067Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file 2025-12-04T09:08:28.7413644Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2025-12-04T09:08:28.7415004Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file 2025-12-04T09:08:28.7604897Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2025-12-04T09:08:28.7606267Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file 2025-12-04T09:08:28.7610860Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0 2025-12-04T09:08:28.7612846Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2025-12-04T09:08:28.7614450Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2025-12-04T09:08:28.7616381Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1111 <- wrt source file 2025-12-04T09:08:28.7618195Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0 2025-12-04T09:08:28.7619738Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1166 <- wrt source file 2025-12-04T09:08:28.7621507Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0 2025-12-04T09:08:28.7623771Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 183 <- wrt source file 2025-12-04T09:08:28.7626058Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2025-12-04T09:08:28.7628463Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 319 <- wrt source file 2025-12-04T09:08:28.7630752Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2025-12-04T09:08:28.7632504Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 139 <- wrt source file 2025-12-04T09:08:28.7634564Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0 2025-12-04T09:08:28.7636684Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file 2025-12-04T09:08:28.7638705Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0 2025-12-04T09:08:28.7640062Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0, line 80 <- wrt source file 2025-12-04T09:08:28.7641239Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0 2025-12-04T09:08:28.7642642Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0, line 133 <- wrt source file 2025-12-04T09:08:28.7644364Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0 2025-12-04T09:08:28.7645760Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 130 <- wrt source file 2025-12-04T09:08:28.7646955Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0 2025-12-04T09:08:28.7648211Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file 2025-12-04T09:08:28.7649537Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0 2025-12-04T09:08:28.7650942Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1845 <- wrt source file 2025-12-04T09:08:28.7652457Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0 2025-12-04T09:08:28.7653903Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 4328 <- wrt source file 2025-12-04T09:08:28.7655323Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0 2025-12-04T09:08:28.7656708Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0, line 100 <- wrt source file 2025-12-04T09:08:28.7658108Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0 2025-12-04T09:08:28.7659458Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0, line 56 <- wrt source file 2025-12-04T09:08:28.7660812Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0 2025-12-04T09:08:28.7662223Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0, line 423 <- wrt source file 2025-12-04T09:08:28.7663867Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0 2025-12-04T09:08:28.7665359Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0, line 69 <- wrt source file 2025-12-04T09:08:28.7666950Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0 2025-12-04T09:08:28.7668481Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0, line 105 <- wrt source file 2025-12-04T09:08:28.7670176Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0 2025-12-04T09:08:28.7671721Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0, line 142 <- wrt source file 2025-12-04T09:08:28.7673248Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0 2025-12-04T09:08:28.7674807Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0, line 179 <- wrt source file 2025-12-04T09:08:28.7676412Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0 2025-12-04T09:08:28.7678000Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0, line 54 <- wrt source file 2025-12-04T09:08:28.7679615Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0 2025-12-04T09:08:28.7680973Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0, line 101 <- wrt source file 2025-12-04T09:08:28.8082982Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0 2025-12-04T09:08:28.8084337Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 241 <- wrt source file 2025-12-04T09:08:28.8195792Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2025-12-04T09:08:28.8197350Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 310 <- wrt source file 2025-12-04T09:08:28.8198785Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2025-12-04T09:08:28.8200186Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 549 <- wrt source file 2025-12-04T09:08:28.8420907Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2025-12-04T09:08:28.8422303Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 724 <- wrt source file 2025-12-04T09:08:28.8644422Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2025-12-04T09:08:28.8646188Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 810 <- wrt source file 2025-12-04T09:08:28.8647959Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0 2025-12-04T09:08:28.8649366Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 273 <- wrt source file 2025-12-04T09:08:28.8650905Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2025-12-04T09:08:28.8652289Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file 2025-12-04T09:08:28.8751042Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2025-12-04T09:08:28.8752422Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 53 <- wrt source file 2025-12-04T09:08:28.8760161Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0 2025-12-04T09:08:28.8762153Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file 2025-12-04T09:08:28.8763865Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0 2025-12-04T09:08:28.8765032Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file 2025-12-04T09:08:28.8766238Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0 2025-12-04T09:08:28.8767419Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0, line 460 <- wrt source file 2025-12-04T09:08:28.8768623Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0 2025-12-04T09:08:28.8769831Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file 2025-12-04T09:08:28.8823497Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0 2025-12-04T09:08:28.8824792Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 302 <- wrt source file 2025-12-04T09:08:28.8826135Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0 2025-12-04T09:08:28.8827460Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0, line 375 <- wrt source file 2025-12-04T09:08:28.8872741Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0 2025-12-04T09:08:28.8874068Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0, line 496 <- wrt source file 2025-12-04T09:08:28.8876738Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0 2025-12-04T09:08:28.8878044Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0, line 793 <- wrt source file 2025-12-04T09:08:28.8941262Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0 2025-12-04T09:08:28.8942795Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0, line 899 <- wrt source file 2025-12-04T09:08:28.9002766Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0 2025-12-04T09:08:28.9004232Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file 2025-12-04T09:08:28.9056788Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2025-12-04T09:08:28.9058202Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file 2025-12-04T09:08:28.9059556Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2025-12-04T09:08:28.9060856Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file 2025-12-04T09:08:28.9096919Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2025-12-04T09:08:28.9098305Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file 2025-12-04T09:08:28.9101708Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2025-12-04T09:08:28.9103094Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file 2025-12-04T09:08:28.9107398Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2025-12-04T09:08:28.9108874Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file 2025-12-04T09:08:28.9110346Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2025-12-04T09:08:28.9111725Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file 2025-12-04T09:08:28.9114749Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2025-12-04T09:08:28.9116062Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0, line 1881 <- wrt source file 2025-12-04T09:08:28.9118022Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0 2025-12-04T09:08:28.9119524Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file 2025-12-04T09:08:28.9121226Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0 2025-12-04T09:08:28.9122911Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0, line 47 <- wrt source file 2025-12-04T09:08:28.9124848Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0 2025-12-04T09:08:28.9126418Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file 2025-12-04T09:08:28.9128084Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2025-12-04T09:08:28.9129440Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 34 <- wrt source file 2025-12-04T09:08:28.9130937Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:08:28.9132604Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file 2025-12-04T09:08:28.9134290Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:08:28.9135884Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file 2025-12-04T09:08:28.9137468Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:08:28.9139043Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file 2025-12-04T09:08:28.9140698Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2025-12-04T09:08:28.9142280Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file 2025-12-04T09:08:28.9143862Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2025-12-04T09:08:28.9145307Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 29 <- wrt source file 2025-12-04T09:08:28.9151287Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2025-12-04T09:08:28.9152880Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file 2025-12-04T09:08:28.9186826Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2025-12-04T09:08:28.9189406Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 210 <- wrt source file 2025-12-04T09:08:28.9191670Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2025-12-04T09:08:28.9193422Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 282 <- wrt source file 2025-12-04T09:08:28.9194728Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2025-12-04T09:08:28.9196013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 358 <- wrt source file 2025-12-04T09:08:28.9197321Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2025-12-04T09:08:28.9198867Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file 2025-12-04T09:08:28.9200456Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2025-12-04T09:08:28.9201962Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file 2025-12-04T09:08:28.9205813Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2025-12-04T09:08:28.9207665Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file 2025-12-04T09:08:28.9209394Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2025-12-04T09:08:28.9210965Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 126 <- wrt source file 2025-12-04T09:08:28.9212586Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2025-12-04T09:08:28.9214291Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 212 <- wrt source file 2025-12-04T09:08:28.9216091Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2025-12-04T09:08:28.9218648Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 300 <- wrt source file 2025-12-04T09:08:28.9220575Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:08:28.9222090Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 383 <- wrt source file 2025-12-04T09:08:28.9224345Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:08:28.9226404Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 466 <- wrt source file 2025-12-04T09:08:28.9228175Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:08:28.9229896Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file 2025-12-04T09:08:28.9231641Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2025-12-04T09:08:28.9233075Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 516 <- wrt source file 2025-12-04T09:08:28.9234458Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2025-12-04T09:08:28.9235814Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 803 <- wrt source file 2025-12-04T09:08:28.9237194Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2025-12-04T09:08:28.9238578Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1209 <- wrt source file 2025-12-04T09:08:28.9240003Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2025-12-04T09:08:28.9241540Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1276 <- wrt source file 2025-12-04T09:08:28.9242994Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2025-12-04T09:08:28.9244406Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1329 <- wrt source file 2025-12-04T09:08:28.9245908Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2025-12-04T09:08:28.9247268Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file 2025-12-04T09:08:28.9248676Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2025-12-04T09:08:28.9250013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0, line 376 <- wrt source file 2025-12-04T09:08:28.9251336Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0 2025-12-04T09:08:28.9252625Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 506 <- wrt source file 2025-12-04T09:08:28.9253945Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2025-12-04T09:08:28.9255245Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 636 <- wrt source file 2025-12-04T09:08:28.9256568Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2025-12-04T09:08:28.9257925Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 893 <- wrt source file 2025-12-04T09:08:28.9259348Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:08:28.9260772Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1015 <- wrt source file 2025-12-04T09:08:28.9262205Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:08:28.9263620Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1141 <- wrt source file 2025-12-04T09:08:28.9265039Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:08:28.9266473Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file 2025-12-04T09:08:28.9270353Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2025-12-04T09:08:28.9271838Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file 2025-12-04T09:08:28.9283641Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2025-12-04T09:08:28.9285183Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file 2025-12-04T09:08:28.9290272Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2025-12-04T09:08:28.9292043Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file 2025-12-04T09:08:28.9295513Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2025-12-04T09:08:28.9297633Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 135 <- wrt source file 2025-12-04T09:08:28.9299088Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2025-12-04T09:08:28.9300385Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0, line 24 <- wrt source file 2025-12-04T09:08:28.9301690Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0 2025-12-04T09:08:28.9303290Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file 2025-12-04T09:08:28.9495129Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0 2025-12-04T09:08:28.9498725Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file 2025-12-04T09:08:28.9502220Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2025-12-04T09:08:28.9505334Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file 2025-12-04T09:08:28.9508153Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2025-12-04T09:08:28.9511070Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file 2025-12-04T09:08:28.9514053Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2025-12-04T09:08:28.9517090Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0, line 251 <- wrt source file 2025-12-04T09:08:28.9520354Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0 2025-12-04T09:08:28.9523247Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 175 <- wrt source file 2025-12-04T09:08:28.9525937Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2025-12-04T09:08:28.9528668Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 32 <- wrt source file 2025-12-04T09:08:28.9531635Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2025-12-04T09:08:28.9534705Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 83 <- wrt source file 2025-12-04T09:08:28.9537670Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2025-12-04T09:08:28.9540574Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 143 <- wrt source file 2025-12-04T09:08:28.9543597Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2025-12-04T09:08:28.9546562Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 182 <- wrt source file 2025-12-04T09:08:28.9549692Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2025-12-04T09:08:28.9552454Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file 2025-12-04T09:08:28.9555014Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0 2025-12-04T09:08:28.9557610Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file 2025-12-04T09:08:28.9560351Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2025-12-04T09:08:28.9562919Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file 2025-12-04T09:08:28.9565411Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2025-12-04T09:08:28.9567978Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file 2025-12-04T09:08:28.9570600Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2025-12-04T09:08:28.9573210Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file 2025-12-04T09:08:28.9575906Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2025-12-04T09:08:28.9578559Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file 2025-12-04T09:08:28.9581159Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2025-12-04T09:08:28.9583868Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file 2025-12-04T09:08:28.9586735Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2025-12-04T09:08:28.9589807Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file 2025-12-04T09:08:28.9593110Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2025-12-04T09:08:28.9595977Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file 2025-12-04T09:08:28.9598935Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2025-12-04T09:08:28.9601643Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file 2025-12-04T09:08:28.9604558Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2025-12-04T09:08:28.9607254Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file 2025-12-04T09:08:28.9609986Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2025-12-04T09:08:28.9612625Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 171 <- wrt source file 2025-12-04T09:08:28.9615240Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2025-12-04T09:08:28.9617803Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 553 <- wrt source file 2025-12-04T09:08:28.9620433Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2025-12-04T09:08:28.9623073Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 575 <- wrt source file 2025-12-04T09:08:28.9625788Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2025-12-04T09:08:28.9628438Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 589 <- wrt source file 2025-12-04T09:08:28.9631168Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2025-12-04T09:08:28.9633794Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 611 <- wrt source file 2025-12-04T09:08:28.9636436Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2025-12-04T09:08:28.9639006Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 738 <- wrt source file 2025-12-04T09:08:28.9641624Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2025-12-04T09:08:28.9644424Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0, line 216 <- wrt source file 2025-12-04T09:08:28.9647530Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0 2025-12-04T09:08:28.9650564Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file 2025-12-04T09:08:28.9653719Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0 2025-12-04T09:08:28.9656770Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 85 <- wrt source file 2025-12-04T09:08:28.9659842Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0 2025-12-04T09:08:28.9663307Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0, line 341 <- wrt source file 2025-12-04T09:08:28.9667369Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0 2025-12-04T09:08:28.9671387Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0, line 429 <- wrt source file 2025-12-04T09:08:28.9675446Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0 2025-12-04T09:08:28.9679424Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0, line 591 <- wrt source file 2025-12-04T09:08:28.9683486Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0 2025-12-04T09:08:28.9687482Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0, line 664 <- wrt source file 2025-12-04T09:08:28.9691786Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0 2025-12-04T09:08:28.9695329Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 104 <- wrt source file 2025-12-04T09:08:28.9698480Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0 2025-12-04T09:08:28.9701539Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 155 <- wrt source file 2025-12-04T09:08:28.9704632Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0 2025-12-04T09:08:28.9707622Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 189 <- wrt source file 2025-12-04T09:08:28.9710682Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0 2025-12-04T09:08:28.9713751Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 442 <- wrt source file 2025-12-04T09:08:28.9716951Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2025-12-04T09:08:28.9719736Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file 2025-12-04T09:08:28.9722286Z * SKIPPED: 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DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file 2025-12-04T09:08:28.9788070Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0 2025-12-04T09:08:28.9790531Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file 2025-12-04T09:08:28.9792969Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0 2025-12-04T09:08:28.9795224Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file 2025-12-04T09:08:28.9797520Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0 2025-12-04T09:08:28.9799767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file 2025-12-04T09:08:28.9802102Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0 2025-12-04T09:08:28.9804398Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file 2025-12-04T09:08:28.9806843Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2025-12-04T09:08:28.9809252Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file 2025-12-04T09:08:28.9811773Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2025-12-04T09:08:28.9814232Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 252 <- wrt source file 2025-12-04T09:08:28.9816724Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0 2025-12-04T09:08:28.9819083Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file 2025-12-04T09:08:28.9821406Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0 2025-12-04T09:08:28.9823761Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 117 <- wrt source file 2025-12-04T09:08:28.9826255Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0 2025-12-04T09:08:28.9828720Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 154 <- wrt source file 2025-12-04T09:08:28.9831323Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2025-12-04T09:08:28.9833786Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 292 <- wrt source file 2025-12-04T09:08:28.9836278Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2025-12-04T09:08:28.9838616Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 362 <- wrt source file 2025-12-04T09:08:28.9840938Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0 2025-12-04T09:08:28.9843388Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 419 <- wrt source file 2025-12-04T09:08:28.9846159Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0 2025-12-04T09:08:28.9848735Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 503 <- wrt source file 2025-12-04T09:08:28.9851434Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0 2025-12-04T09:08:28.9854068Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 777 <- wrt source file 2025-12-04T09:08:28.9856804Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0 2025-12-04T09:08:28.9859290Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file 2025-12-04T09:08:28.9861604Z * SKIPPED: 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2025-12-04T09:08:28.9878243Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file 2025-12-04T09:08:28.9880692Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0 2025-12-04T09:08:28.9883028Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 43 <- wrt source file 2025-12-04T09:08:28.9885362Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0 2025-12-04T09:08:28.9887672Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 59 <- wrt source file 2025-12-04T09:08:28.9890027Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0 2025-12-04T09:08:28.9892351Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file 2025-12-04T09:08:28.9894471Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0 2025-12-04T09:08:28.9896703Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file 2025-12-04T09:08:28.9899056Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2025-12-04T09:08:28.9901378Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file 2025-12-04T09:08:28.9903871Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2025-12-04T09:08:28.9906313Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file 2025-12-04T09:08:28.9908818Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2025-12-04T09:08:28.9923097Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file 2025-12-04T09:08:28.9925934Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2025-12-04T09:08:28.9928339Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2025-12-04T09:08:28.9930576Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0 2025-12-04T09:08:28.9933071Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0, line 125 <- wrt source file 2025-12-04T09:08:28.9935877Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0 2025-12-04T09:08:28.9938615Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0, line 142 <- wrt source file 2025-12-04T09:08:28.9941402Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0 2025-12-04T09:08:28.9944162Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0, line 281 <- wrt source file 2025-12-04T09:08:28.9947002Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0 2025-12-04T09:08:28.9949763Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 167 <- wrt source file 2025-12-04T09:08:28.9952339Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2025-12-04T09:08:28.9954989Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 1027 <- wrt source file 2025-12-04T09:08:28.9957835Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2025-12-04T09:08:28.9960529Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1317 <- wrt source file 2025-12-04T09:08:28.9963203Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2025-12-04T09:08:28.9965931Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2652 <- wrt source file 2025-12-04T09:08:28.9968775Z * SKIPPED: 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* SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0 2025-12-04T09:08:29.0021420Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0, line 3947 <- wrt source file 2025-12-04T09:08:29.0024088Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0 2025-12-04T09:08:29.0026810Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 4054 <- wrt source file 2025-12-04T09:08:29.0029748Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0 2025-12-04T09:08:29.0032569Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/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_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0, line 173 <- wrt source file 2025-12-04T09:08:29.0376633Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0 2025-12-04T09:08:29.0379757Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0, line 228 <- wrt source file 2025-12-04T09:08:29.0383015Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0 2025-12-04T09:08:29.0386000Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0, line 1276 <- wrt source file 2025-12-04T09:08:29.0388867Z * SKIPPED: 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2025-12-04T09:08:29.0828696Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 198 <- wrt source file 2025-12-04T09:08:29.0831708Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0 2025-12-04T09:08:29.0834580Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 350 <- wrt source file 2025-12-04T09:08:29.0837530Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0 2025-12-04T09:08:29.0840455Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0, line 452 <- wrt source file 2025-12-04T09:08:29.0843465Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0 2025-12-04T09:08:29.0846418Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0, line 614 <- wrt source file 2025-12-04T09:08:29.0849448Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0 2025-12-04T09:08:29.0852511Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0, line 740 <- wrt source file 2025-12-04T09:08:29.0855664Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0 2025-12-04T09:08:29.0858440Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file 2025-12-04T09:08:29.0860967Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2025-12-04T09:08:29.0863321Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file 2025-12-04T09:08:29.0865606Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0 2025-12-04T09:08:29.0867944Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file 2025-12-04T09:08:29.0870477Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0 2025-12-04T09:08:29.0872979Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file 2025-12-04T09:08:29.0875705Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0 2025-12-04T09:08:29.0878147Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2025-12-04T09:08:29.0880553Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0 2025-12-04T09:08:29.0882896Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file 2025-12-04T09:08:29.0885172Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0 2025-12-04T09:08:29.0887597Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file 2025-12-04T09:08:29.0890241Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0 2025-12-04T09:08:29.0893072Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file 2025-12-04T09:08:29.0895886Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2025-12-04T09:08:29.0898747Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file 2025-12-04T09:08:29.0901764Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2025-12-04T09:08:29.0904470Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file 2025-12-04T09:08:29.0907008Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2025-12-04T09:08:29.0909606Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file 2025-12-04T09:08:29.0912248Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0 2025-12-04T09:08:29.0914895Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2025-12-04T09:08:29.0917667Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2025-12-04T09:08:29.0920148Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file 2025-12-04T09:08:29.0922471Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0 2025-12-04T09:08:29.0925038Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file 2025-12-04T09:08:29.0927961Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0 2025-12-04T09:08:29.0930617Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file 2025-12-04T09:08:29.0933131Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0 2025-12-04T09:08:29.0935517Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file 2025-12-04T09:08:29.0938001Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0 2025-12-04T09:08:29.0940433Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file 2025-12-04T09:08:29.0943101Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2025-12-04T09:08:29.0945604Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file 2025-12-04T09:08:29.0948142Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2025-12-04T09:08:29.0950764Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file 2025-12-04T09:08:29.0953394Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0 2025-12-04T09:08:29.0955993Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file 2025-12-04T09:08:29.0958659Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2025-12-04T09:08:29.0961282Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file 2025-12-04T09:08:29.0963883Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2025-12-04T09:08:29.0966352Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file 2025-12-04T09:08:29.0968779Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0 2025-12-04T09:08:29.0971250Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file 2025-12-04T09:08:29.0973863Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2025-12-04T09:08:29.0976376Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file 2025-12-04T09:08:29.0978902Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0 2025-12-04T09:08:29.0981527Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file 2025-12-04T09:08:29.0984290Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2025-12-04T09:08:29.0987283Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 63 <- wrt source file 2025-12-04T09:08:29.0990753Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0 2025-12-04T09:08:29.0993793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0, line 24 <- wrt source file 2025-12-04T09:08:29.0996724Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0 2025-12-04T09:08:29.0999585Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file 2025-12-04T09:08:29.1002235Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0 2025-12-04T09:08:29.1005061Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file 2025-12-04T09:08:29.1008114Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2025-12-04T09:08:29.1010718Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file 2025-12-04T09:08:29.1013099Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0 2025-12-04T09:08:29.1015701Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file 2025-12-04T09:08:29.1018604Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2025-12-04T09:08:29.1021227Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file 2025-12-04T09:08:29.1023608Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0 2025-12-04T09:08:29.1025969Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file 2025-12-04T09:08:29.1028386Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0 2025-12-04T09:08:29.1031067Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file 2025-12-04T09:08:29.1033934Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0 2025-12-04T09:08:29.1036888Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file 2025-12-04T09:08:29.1039984Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0 2025-12-04T09:08:29.1042689Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file 2025-12-04T09:08:29.1045161Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0 2025-12-04T09:08:29.1047675Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file 2025-12-04T09:08:29.1050323Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0 2025-12-04T09:08:29.1052953Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1190 <- wrt source file 2025-12-04T09:08:29.1055649Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0 2025-12-04T09:08:29.1058495Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1268 <- wrt source file 2025-12-04T09:08:29.1061687Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0 2025-12-04T09:08:29.1064394Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file 2025-12-04T09:08:29.1066855Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0 2025-12-04T09:08:29.1069323Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file 2025-12-04T09:08:29.1071784Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0 2025-12-04T09:08:29.1074207Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file 2025-12-04T09:08:29.1076693Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0 2025-12-04T09:08:29.1079078Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file 2025-12-04T09:08:29.1081493Z * SUCCESS: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0, line 129 <- wrt source file 2025-12-04T09:08:29.1408381Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0 2025-12-04T09:08:29.1411006Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 99 <- wrt source file 2025-12-04T09:08:29.1413435Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0 2025-12-04T09:08:29.1415883Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0, line 94 <- wrt source file 2025-12-04T09:08:29.1418447Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0 2025-12-04T09:08:29.1421485Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file 2025-12-04T09:08:29.1424997Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0 2025-12-04T09:08:29.1428047Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 37 <- wrt source file 2025-12-04T09:08:29.1430865Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0 2025-12-04T09:08:29.1433526Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file 2025-12-04T09:08:29.1436262Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0 2025-12-04T09:08:29.1439009Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 125 <- wrt source file 2025-12-04T09:08:29.1442019Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0 2025-12-04T09:08:29.1444723Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 225 <- wrt source file 2025-12-04T09:08:29.1447449Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0 2025-12-04T09:08:29.1449923Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0, line 1538 <- wrt source file 2025-12-04T09:08:29.1452178Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0 2025-12-04T09:08:29.1454619Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file 2025-12-04T09:08:29.1457320Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0 2025-12-04T09:08:29.1460043Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 470 <- wrt source file 2025-12-04T09:08:29.1462860Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0 2025-12-04T09:08:29.1465650Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 589 <- wrt source file 2025-12-04T09:08:29.1907778Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2025-12-04T09:08:29.1931891Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file 2025-12-04T09:08:29.1943019Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0 2025-12-04T09:08:29.1945710Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file 2025-12-04T09:08:29.1954782Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0 2025-12-04T09:08:29.1957099Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file 2025-12-04T09:08:29.1967849Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0 2025-12-04T09:08:29.1970099Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file 2025-12-04T09:08:29.1987185Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0 2025-12-04T09:08:29.1989427Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file 2025-12-04T09:08:29.1996997Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0 2025-12-04T09:08:29.1999301Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file 2025-12-04T09:08:29.2007738Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0 2025-12-04T09:08:29.2010181Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3542 <- wrt source file 2025-12-04T09:08:29.2016360Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2025-12-04T09:08:29.2018972Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3613 <- wrt source file 2025-12-04T09:08:29.2024441Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2025-12-04T09:08:29.2026961Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file 2025-12-04T09:08:29.2036710Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0 2025-12-04T09:08:29.2038833Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2025-12-04T09:08:29.2046228Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0 2025-12-04T09:08:29.2048408Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2025-12-04T09:08:29.2052702Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0 2025-12-04T09:08:29.2054887Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2025-12-04T09:08:29.2062371Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0 2025-12-04T09:08:29.2064547Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2025-12-04T09:08:29.2069118Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0 2025-12-04T09:08:29.2071286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2025-12-04T09:08:29.2123530Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0 2025-12-04T09:08:29.2126420Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2025-12-04T09:08:29.2172321Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0 2025-12-04T09:08:29.2174985Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file 2025-12-04T09:08:29.2177368Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0 2025-12-04T09:08:29.2179498Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file 2025-12-04T09:08:29.2182252Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0 2025-12-04T09:08:29.2184196Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file 2025-12-04T09:08:29.2186984Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0 2025-12-04T09:08:29.2189125Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file 2025-12-04T09:08:29.2202888Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0 2025-12-04T09:08:29.2205295Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file 2025-12-04T09:08:29.2209323Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0 2025-12-04T09:08:29.2211296Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file 2025-12-04T09:08:29.2214051Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0 2025-12-04T09:08:29.2216271Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file 2025-12-04T09:08:29.2220006Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0 2025-12-04T09:08:29.2221925Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file 2025-12-04T09:08:29.2223900Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0 2025-12-04T09:08:29.2225827Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file 2025-12-04T09:08:29.2230086Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0 2025-12-04T09:08:29.2232095Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file 2025-12-04T09:08:29.2235485Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0 2025-12-04T09:08:29.2237583Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file 2025-12-04T09:08:29.2239961Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0 2025-12-04T09:08:29.2242057Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file 2025-12-04T09:08:29.2244921Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0 2025-12-04T09:08:29.2247022Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file 2025-12-04T09:08:29.2249175Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0 2025-12-04T09:08:29.2251236Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file 2025-12-04T09:08:29.2253288Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0 2025-12-04T09:08:29.2255242Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file 2025-12-04T09:08:29.2257236Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0 2025-12-04T09:08:29.2264155Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 124 <- wrt source file 2025-12-04T09:08:29.2266509Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2025-12-04T09:08:29.2268978Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0, line 47 <- wrt source file 2025-12-04T09:08:29.2271775Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0 2025-12-04T09:08:29.2274454Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0, line 78 <- wrt source file 2025-12-04T09:08:29.2277296Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0 2025-12-04T09:08:29.2279736Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file 2025-12-04T09:08:29.2282070Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0 2025-12-04T09:08:29.2284325Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0, line 166 <- wrt source file 2025-12-04T09:08:29.2286618Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0 2025-12-04T09:08:29.2288900Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file 2025-12-04T09:08:29.2291394Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0 2025-12-04T09:08:29.2293598Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file 2025-12-04T09:08:29.2295807Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0 2025-12-04T09:08:29.2297979Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file 2025-12-04T09:08:29.2300197Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0 2025-12-04T09:08:29.2302417Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file 2025-12-04T09:08:29.2304707Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2025-12-04T09:08:29.2306925Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file 2025-12-04T09:08:29.2309223Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0 2025-12-04T09:08:29.2311453Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file 2025-12-04T09:08:29.2313734Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2025-12-04T09:08:29.2316013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file 2025-12-04T09:08:29.2318414Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2025-12-04T09:08:29.2320648Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file 2025-12-04T09:08:29.2322862Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0 2025-12-04T09:08:29.2325036Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file 2025-12-04T09:08:29.2327248Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0 2025-12-04T09:08:29.2329404Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file 2025-12-04T09:08:29.2331771Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0 2025-12-04T09:08:29.2334011Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file 2025-12-04T09:08:29.2336341Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0 2025-12-04T09:08:29.2338691Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file 2025-12-04T09:08:29.2340888Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0 2025-12-04T09:08:29.2343049Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file 2025-12-04T09:08:29.2345267Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0 2025-12-04T09:08:29.2347435Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file 2025-12-04T09:08:29.2349692Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0 2025-12-04T09:08:29.2351862Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file 2025-12-04T09:08:29.2354075Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0 2025-12-04T09:08:29.2356254Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file 2025-12-04T09:08:29.2368722Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0 2025-12-04T09:08:29.2370990Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file 2025-12-04T09:08:29.2375225Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2025-12-04T09:08:29.2377592Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file 2025-12-04T09:08:29.2381413Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2025-12-04T09:08:29.2383765Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file 2025-12-04T09:08:29.2388008Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2025-12-04T09:08:29.2391035Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file 2025-12-04T09:08:29.2393701Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0 2025-12-04T09:08:29.2395993Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file 2025-12-04T09:08:29.2399496Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0 2025-12-04T09:08:29.2401923Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file 2025-12-04T09:08:29.2404567Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2025-12-04T09:08:29.2407168Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file 2025-12-04T09:08:29.2409524Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0 2025-12-04T09:08:29.2411898Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file 2025-12-04T09:08:29.2414328Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0 2025-12-04T09:08:29.2416666Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file 2025-12-04T09:08:29.2419077Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2025-12-04T09:08:29.2421841Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file 2025-12-04T09:08:29.2424558Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0 2025-12-04T09:08:29.2427240Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file 2025-12-04T09:08:29.2430031Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0 2025-12-04T09:08:29.2432716Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file 2025-12-04T09:08:29.2435499Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2025-12-04T09:08:29.2438247Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file 2025-12-04T09:08:29.2441049Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2025-12-04T09:08:29.2443788Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file 2025-12-04T09:08:29.2451014Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2025-12-04T09:08:29.2453692Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file 2025-12-04T09:08:29.2664459Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2025-12-04T09:08:29.2667278Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file 2025-12-04T09:08:29.5116215Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2025-12-04T09:08:29.5376328Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file 2025-12-04T09:08:29.5379091Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0 2025-12-04T09:08:29.5381807Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0, line 857 <- wrt source file 2025-12-04T09:08:29.5384790Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0 2025-12-04T09:08:29.5387834Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2025-12-04T09:08:29.5417465Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2025-12-04T09:08:29.5420262Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file 2025-12-04T09:08:29.5422832Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0 2025-12-04T09:08:29.5425352Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 263 <- wrt source file 2025-12-04T09:08:29.5435044Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0 2025-12-04T09:08:29.5437681Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 286 <- wrt source file 2025-12-04T09:08:29.5448758Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0 2025-12-04T09:08:29.5451412Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 317 <- wrt source file 2025-12-04T09:08:29.5464866Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0 2025-12-04T09:08:29.5467403Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file 2025-12-04T09:08:29.5469948Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0 2025-12-04T09:08:29.5472399Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file 2025-12-04T09:08:29.5474871Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0 2025-12-04T09:08:29.5477346Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file 2025-12-04T09:08:29.5479889Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0 2025-12-04T09:08:29.5482393Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file 2025-12-04T09:08:29.5484941Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0 2025-12-04T09:08:29.5487452Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2025-12-04T09:08:29.5490033Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2025-12-04T09:08:29.5492728Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file 2025-12-04T09:08:29.5495364Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2025-12-04T09:08:29.5497765Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2025-12-04T09:08:29.5503790Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0 2025-12-04T09:08:29.5506393Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file 2025-12-04T09:08:29.5513691Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2025-12-04T09:08:29.5516460Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file 2025-12-04T09:08:29.5537991Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2025-12-04T09:08:29.5540699Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file 2025-12-04T09:08:29.5611210Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2025-12-04T09:08:29.5613963Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file 2025-12-04T09:08:29.5619693Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2025-12-04T09:08:29.5622546Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file 2025-12-04T09:08:29.5701436Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2025-12-04T09:08:29.5704105Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file 2025-12-04T09:08:29.5712961Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0 2025-12-04T09:08:29.5715236Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file 2025-12-04T09:08:29.5734988Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0 2025-12-04T09:08:29.5737306Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file 2025-12-04T09:08:29.5750566Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0 2025-12-04T09:08:29.5752845Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file 2025-12-04T09:08:29.5794261Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0 2025-12-04T09:08:29.5796615Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file 2025-12-04T09:08:29.5799113Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2025-12-04T09:08:29.5801550Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file 2025-12-04T09:08:29.5963850Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2025-12-04T09:08:29.5966723Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file 2025-12-04T09:08:29.8430806Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2025-12-04T09:08:29.8597527Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file 2025-12-04T09:08:29.8603692Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2025-12-04T09:08:29.8606082Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2025-12-04T09:08:29.8612148Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0 2025-12-04T09:08:29.8614427Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file 2025-12-04T09:08:29.8623637Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0 2025-12-04T09:08:29.8625911Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file 2025-12-04T09:08:29.8647103Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0 2025-12-04T09:08:29.8649367Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file 2025-12-04T09:08:29.8657731Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0 2025-12-04T09:08:29.8659955Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file 2025-12-04T09:08:29.8700617Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2025-12-04T09:08:29.8703355Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file 2025-12-04T09:08:29.8711033Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2025-12-04T09:08:29.8713475Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file 2025-12-04T09:08:29.8728689Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2025-12-04T09:08:29.8731048Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file 2025-12-04T09:08:29.8739175Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2025-12-04T09:08:29.8741484Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file 2025-12-04T09:08:29.8747942Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0 2025-12-04T09:08:29.8750236Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file 2025-12-04T09:08:29.8756854Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0 2025-12-04T09:08:29.8759240Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file 2025-12-04T09:08:29.8771734Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2025-12-04T09:08:29.8774227Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file 2025-12-04T09:08:29.8779391Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1 2025-12-04T09:08:29.8781919Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file 2025-12-04T09:08:29.8790425Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2025-12-04T09:08:29.8793102Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file 2025-12-04T09:08:29.8801932Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2025-12-04T09:08:29.8804758Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file 2025-12-04T09:08:29.8807502Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1 2025-12-04T09:08:29.8809962Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file 2025-12-04T09:08:29.8820113Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2025-12-04T09:08:29.8822655Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file 2025-12-04T09:08:29.8829182Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2025-12-04T09:08:29.8831649Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file 2025-12-04T09:08:29.8839304Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2025-12-04T09:08:29.8841819Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file 2025-12-04T09:08:29.8852701Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2025-12-04T09:08:29.8855385Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file 2025-12-04T09:08:29.8876417Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0 2025-12-04T09:08:29.8879426Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file 2025-12-04T09:08:29.8915414Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2025-12-04T09:08:29.8917879Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 554 <- wrt source file 2025-12-04T09:08:29.8920529Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2025-12-04T09:08:29.8923063Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1048 <- wrt source file 2025-12-04T09:08:29.8933684Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0 2025-12-04T09:08:29.8936052Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0, line 1299 <- wrt source file 2025-12-04T09:08:29.8943877Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0 2025-12-04T09:08:29.8947427Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2232 <- wrt source file 2025-12-04T09:08:29.8950099Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2025-12-04T09:08:29.8952774Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2678 <- wrt source file 2025-12-04T09:08:29.8955365Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0 2025-12-04T09:08:29.8957943Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2706 <- wrt source file 2025-12-04T09:08:29.8960632Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2025-12-04T09:08:29.8963177Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2733 <- wrt source file 2025-12-04T09:08:29.8965671Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0 2025-12-04T09:08:29.8968168Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2760 <- wrt source file 2025-12-04T09:08:29.8970776Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2025-12-04T09:08:29.8973400Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2791 <- wrt source file 2025-12-04T09:08:29.8976029Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0 2025-12-04T09:08:29.8978522Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2815 <- wrt source file 2025-12-04T09:08:29.8981005Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0 2025-12-04T09:08:29.8983432Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2853 <- wrt source file 2025-12-04T09:08:29.8985971Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2025-12-04T09:08:29.8988596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2025-12-04T09:08:29.9007395Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2025-12-04T09:08:29.9010516Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file 2025-12-04T09:08:29.9019585Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2025-12-04T09:08:29.9022538Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file 2025-12-04T09:08:29.9030447Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2025-12-04T09:08:29.9033350Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file 2025-12-04T09:08:29.9038240Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2025-12-04T09:08:29.9040514Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file 2025-12-04T09:08:29.9047288Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2025-12-04T09:08:29.9049839Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file 2025-12-04T09:08:29.9073316Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2025-12-04T09:08:29.9075885Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file 2025-12-04T09:08:30.5318193Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2025-12-04T09:08:30.5613534Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file 2025-12-04T09:08:30.5626255Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2025-12-04T09:08:30.5628750Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file 2025-12-04T09:08:30.5634360Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2025-12-04T09:08:30.5636818Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file 2025-12-04T09:08:30.5659378Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2025-12-04T09:08:30.5661755Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file 2025-12-04T09:08:30.5667330Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2025-12-04T09:08:30.5669771Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file 2025-12-04T09:08:30.5674968Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2025-12-04T09:08:30.5677341Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file 2025-12-04T09:08:30.5680412Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2025-12-04T09:08:30.5682787Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file 2025-12-04T09:08:30.5688033Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2025-12-04T09:08:30.5690674Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file 2025-12-04T09:08:30.5696661Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2025-12-04T09:08:30.5699032Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file 2025-12-04T09:08:31.0842984Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2025-12-04T09:08:31.1133166Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file 2025-12-04T09:08:31.1145523Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2025-12-04T09:08:31.1147970Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file 2025-12-04T09:08:31.1154163Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2025-12-04T09:08:31.1156562Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file 2025-12-04T09:08:31.1179745Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2025-12-04T09:08:31.1182225Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2025-12-04T09:08:31.1187035Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2025-12-04T09:08:31.1189701Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file 2025-12-04T09:08:31.1194645Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2025-12-04T09:08:31.1197128Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file 2025-12-04T09:08:31.1203123Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2025-12-04T09:08:31.1205952Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file 2025-12-04T09:08:31.1258697Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2025-12-04T09:08:31.1261090Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file 2025-12-04T09:08:31.3468576Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2025-12-04T09:08:31.3525712Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file 2025-12-04T09:08:31.3540001Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2025-12-04T09:08:31.3542352Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file 2025-12-04T09:08:31.3565713Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0 2025-12-04T09:08:31.3568110Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file 2025-12-04T09:08:31.4347031Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2025-12-04T09:08:31.4349279Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file 2025-12-04T09:08:31.4360582Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2025-12-04T09:08:31.4363189Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file 2025-12-04T09:08:31.4402940Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2025-12-04T09:08:31.4405471Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file 2025-12-04T09:08:31.5970734Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2025-12-04T09:08:31.6030297Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file 2025-12-04T09:08:31.6080537Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2025-12-04T09:08:31.6083018Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file 2025-12-04T09:08:31.6751244Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2025-12-04T09:08:31.6753563Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file 2025-12-04T09:08:31.6762953Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2025-12-04T09:08:31.6765612Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file 2025-12-04T09:08:31.6817436Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2025-12-04T09:08:31.6820525Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file 2025-12-04T09:08:31.8939370Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2025-12-04T09:08:31.8999196Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file 2025-12-04T09:08:31.9007911Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2025-12-04T09:08:31.9010503Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file 2025-12-04T09:08:31.9019492Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2025-12-04T09:08:31.9022071Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file 2025-12-04T09:08:31.9049191Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2025-12-04T09:08:31.9051797Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file 2025-12-04T09:08:31.9057454Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2025-12-04T09:08:31.9060518Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file 2025-12-04T09:08:31.9069778Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2025-12-04T09:08:31.9072816Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file 2025-12-04T09:08:31.9090557Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2025-12-04T09:08:31.9093111Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file 2025-12-04T09:08:31.9104660Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0 2025-12-04T09:08:31.9106820Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file 2025-12-04T09:08:31.9533418Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0 2025-12-04T09:08:31.9535614Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file 2025-12-04T09:08:31.9552147Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0 2025-12-04T09:08:31.9554346Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file 2025-12-04T09:08:31.9565611Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2025-12-04T09:08:31.9567845Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file 2025-12-04T09:08:31.9579716Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2025-12-04T09:08:31.9582561Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file 2025-12-04T09:08:31.9596877Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2025-12-04T09:08:31.9599920Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file 2025-12-04T09:08:31.9614926Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0 2025-12-04T09:08:31.9617540Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file 2025-12-04T09:08:31.9621679Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2025-12-04T09:08:31.9624199Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file 2025-12-04T09:08:31.9638849Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0 2025-12-04T09:08:31.9641418Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 523 <- wrt source file 2025-12-04T09:08:31.9647126Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2025-12-04T09:08:31.9649723Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file 2025-12-04T09:08:32.7820516Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0 2025-12-04T09:08:32.7947538Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 267 <- wrt source file 2025-12-04T09:08:32.7950185Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2025-12-04T09:08:32.7952563Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file 2025-12-04T09:08:32.9088152Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2025-12-04T09:08:32.9094842Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file 2025-12-04T09:08:33.1559593Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2025-12-04T09:08:33.1567962Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file 2025-12-04T09:08:33.1860491Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2025-12-04T09:08:33.1863596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file 2025-12-04T09:08:33.2406332Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2025-12-04T09:08:33.2409141Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2025-12-04T09:08:33.2436185Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2025-12-04T09:08:33.2438907Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file 2025-12-04T09:08:33.2450947Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2025-12-04T09:08:33.2453650Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file 2025-12-04T09:08:33.2461616Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2025-12-04T09:08:33.2464337Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 128 <- wrt source file 2025-12-04T09:08:33.2466979Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2025-12-04T09:08:33.2469758Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file 2025-12-04T09:08:33.2472675Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2025-12-04T09:08:33.2475632Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1451 <- wrt source file 2025-12-04T09:08:33.2478652Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2025-12-04T09:08:33.2481633Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0, line 1838 <- wrt source file 2025-12-04T09:08:33.2484975Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0 2025-12-04T09:08:33.2488071Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 2004 <- wrt source file 2025-12-04T09:08:33.2491601Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2025-12-04T09:08:33.2494924Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2014 <- wrt source file 2025-12-04T09:08:33.2498295Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2025-12-04T09:08:33.2501631Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2049 <- wrt source file 2025-12-04T09:08:33.2505046Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2025-12-04T09:08:33.2508376Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0, line 2107 <- wrt source file 2025-12-04T09:08:33.2511740Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0 2025-12-04T09:08:33.2514656Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file 2025-12-04T09:08:33.2517416Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0 2025-12-04T09:08:33.2520032Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file 2025-12-04T09:08:33.2522269Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0 2025-12-04T09:08:33.2524875Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0, line 64 <- wrt source file 2025-12-04T09:08:33.2528033Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0 2025-12-04T09:08:33.2530938Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0, line 143 <- wrt source file 2025-12-04T09:08:33.2533912Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0 2025-12-04T09:08:33.2536678Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file 2025-12-04T09:08:33.2539294Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2025-12-04T09:08:33.2541838Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 362 <- wrt source file 2025-12-04T09:08:33.2544450Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2025-12-04T09:08:33.2547031Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 593 <- wrt source file 2025-12-04T09:08:33.2549944Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2025-12-04T09:08:33.2552336Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file 2025-12-04T09:08:33.2554698Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0 2025-12-04T09:08:33.2557053Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 888 <- wrt source file 2025-12-04T09:08:33.2559536Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2025-12-04T09:08:33.2561947Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 931 <- wrt source file 2025-12-04T09:08:33.2564324Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2025-12-04T09:08:33.2566704Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0, line 971 <- wrt source file 2025-12-04T09:08:33.2569151Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0 2025-12-04T09:08:33.2571508Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0, line 1017 <- wrt source file 2025-12-04T09:08:33.2573854Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0 2025-12-04T09:08:33.2576260Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0, line 1072 <- wrt source file 2025-12-04T09:08:33.2578765Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0 2025-12-04T09:08:33.2581167Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0, line 1175 <- wrt source file 2025-12-04T09:08:33.2583557Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0 2025-12-04T09:08:33.2585846Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file 2025-12-04T09:08:33.2588061Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0 2025-12-04T09:08:33.2590435Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1231 <- wrt source file 2025-12-04T09:08:33.2592722Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0 2025-12-04T09:08:33.2595010Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 359 <- wrt source file 2025-12-04T09:08:33.2604492Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2025-12-04T09:08:33.2606807Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file 2025-12-04T09:08:33.2611719Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2025-12-04T09:08:33.2613965Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file 2025-12-04T09:08:33.2626320Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2025-12-04T09:08:33.2628597Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file 2025-12-04T09:08:33.2637008Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2025-12-04T09:08:33.2639448Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file 2025-12-04T09:08:33.2658114Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2025-12-04T09:08:33.2660532Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file 2025-12-04T09:08:33.2667443Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2025-12-04T09:08:33.2670148Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 347 <- wrt source file 2025-12-04T09:08:33.2676828Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2025-12-04T09:08:33.2679403Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 193 <- wrt source file 2025-12-04T09:08:33.2681955Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0 2025-12-04T09:08:33.2684382Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file 2025-12-04T09:08:33.2690591Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2025-12-04T09:08:33.2693078Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file 2025-12-04T09:08:33.2697930Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2025-12-04T09:08:33.2700562Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file 2025-12-04T09:08:33.2703299Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2025-12-04T09:08:33.2706318Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/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 2025-12-04T09:08:33.2709811Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0 2025-12-04T09:08:33.2712649Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file 2025-12-04T09:08:33.2715008Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2025-12-04T09:08:33.2717409Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file 2025-12-04T09:08:33.2719940Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2025-12-04T09:08:33.2722269Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file 2025-12-04T09:08:33.2724793Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2025-12-04T09:08:33.2727110Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file 2025-12-04T09:08:33.2729571Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2025-12-04T09:08:33.2732027Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file 2025-12-04T09:08:33.2734385Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2025-12-04T09:08:33.2736700Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file 2025-12-04T09:08:33.2739050Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2025-12-04T09:08:33.2741422Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file 2025-12-04T09:08:33.2743869Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0 2025-12-04T09:08:33.2746272Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file 2025-12-04T09:08:33.2748722Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2025-12-04T09:08:33.2751177Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file 2025-12-04T09:08:33.2753632Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2025-12-04T09:08:33.2756083Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file 2025-12-04T09:08:33.2758630Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0 2025-12-04T09:08:33.2761153Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file 2025-12-04T09:08:33.2763664Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2025-12-04T09:08:33.2766080Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file 2025-12-04T09:08:33.2768428Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0 2025-12-04T09:08:33.2770978Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file 2025-12-04T09:08:33.2773750Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0 2025-12-04T09:08:33.2776520Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 2211 <- wrt source file 2025-12-04T09:08:33.2779431Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2025-12-04T09:08:33.2782292Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 2227 <- wrt source file 2025-12-04T09:08:33.2785293Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2025-12-04T09:08:33.2787867Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file 2025-12-04T09:08:33.2790556Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0 2025-12-04T09:08:33.2793040Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0, line 900 <- wrt source file 2025-12-04T09:08:33.2795685Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0 2025-12-04T09:08:33.2798181Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file 2025-12-04T09:08:33.2800586Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0 2025-12-04T09:08:33.2802904Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file 2025-12-04T09:08:33.2805294Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1 2025-12-04T09:08:33.2807572Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0, line 350 <- wrt source file 2025-12-04T09:08:33.2809832Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0 2025-12-04T09:08:33.2812053Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file 2025-12-04T09:08:33.2814378Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0 2025-12-04T09:08:33.2816627Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file 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SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2025-12-04T09:08:33.2837852Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file 2025-12-04T09:08:33.2840386Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0 2025-12-04T09:08:33.2842740Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file 2025-12-04T09:08:33.2845251Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0 2025-12-04T09:08:33.2847783Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 648 <- wrt source file 2025-12-04T09:08:33.2850543Z * SKIPPED: 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DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 359 <- wrt source file 2025-12-04T09:08:33.2918204Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2025-12-04T09:08:33.2920540Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 396 <- wrt source file 2025-12-04T09:08:33.2922912Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2025-12-04T09:08:33.2925198Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 429 <- wrt source file 2025-12-04T09:08:33.2927505Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2025-12-04T09:08:33.2929785Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 464 <- wrt source file 2025-12-04T09:08:33.2932117Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2025-12-04T09:08:33.2934438Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 499 <- wrt source file 2025-12-04T09:08:33.2936836Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2025-12-04T09:08:33.2939120Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 536 <- wrt source file 2025-12-04T09:08:33.2941406Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2025-12-04T09:08:33.2943796Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 929 <- wrt source file 2025-12-04T09:08:33.2950837Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2025-12-04T09:08:33.2953688Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file 2025-12-04T09:08:33.2963790Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0 2025-12-04T09:08:33.2966599Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file 2025-12-04T09:08:33.2974246Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0 2025-12-04T09:08:33.2977079Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1058 <- wrt source file 2025-12-04T09:08:33.2982150Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0 2025-12-04T09:08:33.2984887Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file 2025-12-04T09:08:33.2989338Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0 2025-12-04T09:08:33.2992128Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 71 <- wrt source file 2025-12-04T09:08:33.2995354Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2025-12-04T09:08:33.2998351Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 382 <- wrt source file 2025-12-04T09:08:33.3001688Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0 2025-12-04T09:08:33.3020700Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file 2025-12-04T09:08:33.3023449Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0 2025-12-04T09:08:33.3026137Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0, line 1421 <- wrt source file 2025-12-04T09:08:33.3029139Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0 2025-12-04T09:08:33.3031782Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file 2025-12-04T09:08:33.3034241Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0 2025-12-04T09:08:33.3036678Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file 2025-12-04T09:08:33.3039157Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0 2025-12-04T09:08:33.3041761Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file 2025-12-04T09:08:33.3044256Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1 2025-12-04T09:08:33.3046702Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file 2025-12-04T09:08:33.3049532Z * SKIPPED: 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2025-12-04T09:08:33.3066225Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file 2025-12-04T09:08:33.3069016Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0 2025-12-04T09:08:33.3071871Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 742 <- wrt source file 2025-12-04T09:08:33.3556485Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0 2025-12-04T09:08:33.3559255Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file 2025-12-04T09:08:33.3569419Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2025-12-04T09:08:33.3571733Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file 2025-12-04T09:08:33.3573814Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0 2025-12-04T09:08:33.3576017Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0, line 438 <- wrt source file 2025-12-04T09:08:33.3578044Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0 2025-12-04T09:08:33.3580325Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file 2025-12-04T09:08:33.3583037Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0 2025-12-04T09:08:33.3585254Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file 2025-12-04T09:08:33.3587581Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0 2025-12-04T09:08:33.3590034Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file 2025-12-04T09:08:33.3593092Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2025-12-04T09:08:33.3595595Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file 2025-12-04T09:08:33.3598370Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2025-12-04T09:08:33.3600787Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file 2025-12-04T09:08:33.3603252Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2025-12-04T09:08:33.3605995Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file 2025-12-04T09:08:33.3608514Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0 2025-12-04T09:08:33.3611064Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 367 <- wrt source file 2025-12-04T09:08:33.3616122Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2025-12-04T09:08:33.3618743Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file 2025-12-04T09:08:33.3621513Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2025-12-04T09:08:33.3624153Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 269 <- wrt source file 2025-12-04T09:08:33.3626987Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2025-12-04T09:08:33.3629437Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file 2025-12-04T09:08:33.3632080Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2025-12-04T09:08:33.3634983Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 202 <- wrt source file 2025-12-04T09:08:33.3641026Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2025-12-04T09:08:33.3644043Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file 2025-12-04T09:08:33.3647157Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:08:33.3650150Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file 2025-12-04T09:08:33.3673211Z * SKIPPED: 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source file 2025-12-04T09:08:33.3691832Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2025-12-04T09:08:33.3695122Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 615 <- wrt source file 2025-12-04T09:08:33.3698246Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2025-12-04T09:08:33.3701265Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 685 <- wrt source file 2025-12-04T09:08:33.3704326Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2025-12-04T09:08:33.3707360Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 29 <- wrt source file 2025-12-04T09:08:33.3710543Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2025-12-04T09:08:33.3713640Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 33 <- wrt source file 2025-12-04T09:08:33.3716762Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2025-12-04T09:08:33.3719722Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 41 <- wrt source file 2025-12-04T09:08:33.3722547Z * SKIPPED: 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source file 2025-12-04T09:08:33.3734541Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2025-12-04T09:08:33.3736157Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 24 <- wrt source file 2025-12-04T09:08:33.3737848Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2025-12-04T09:08:33.3739789Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file 2025-12-04T09:08:33.3742515Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2025-12-04T09:08:33.3744104Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 36 <- wrt source file 2025-12-04T09:08:33.3745732Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2025-12-04T09:08:33.3747782Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file 2025-12-04T09:08:33.3750018Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:08:33.3751624Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file 2025-12-04T09:08:33.3753210Z * SKIPPED: 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file 2025-12-04T09:08:33.3764808Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2025-12-04T09:08:33.3767127Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file 2025-12-04T09:08:33.3769050Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2025-12-04T09:08:33.3770542Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file 2025-12-04T09:08:33.3772063Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2025-12-04T09:08:33.3773477Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file 2025-12-04T09:08:33.9672022Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2025-12-04T09:08:33.9674527Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file 2025-12-04T09:08:33.9677345Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2025-12-04T09:08:33.9680267Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 217 <- wrt source file 2025-12-04T09:08:33.9682761Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2025-12-04T09:08:33.9684754Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 322 <- wrt source file 2025-12-04T09:08:33.9687751Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2025-12-04T09:08:33.9689685Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 370 <- wrt source file 2025-12-04T09:08:33.9691859Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2025-12-04T09:08:33.9693351Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 402 <- wrt source file 2025-12-04T09:08:33.9694956Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2025-12-04T09:08:33.9696688Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 450 <- wrt source file 2025-12-04T09:08:33.9698323Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2025-12-04T09:08:33.9699959Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 489 <- wrt source file 2025-12-04T09:08:33.9701639Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2025-12-04T09:08:33.9703294Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 542 <- wrt source file 2025-12-04T09:08:33.9704997Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0 2025-12-04T09:08:33.9706634Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 608 <- wrt source file 2025-12-04T09:08:33.9708240Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0 2025-12-04T09:08:33.9710028Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 657 <- wrt source file 2025-12-04T09:08:33.9712356Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0 2025-12-04T09:08:33.9714870Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 820 <- wrt source file 2025-12-04T09:08:33.9717178Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2025-12-04T09:08:33.9719829Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 887 <- wrt source file 2025-12-04T09:08:33.9722464Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2025-12-04T09:08:33.9725109Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 998 <- wrt source file 2025-12-04T09:08:33.9727615Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2025-12-04T09:08:33.9729323Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1072 <- wrt source file 2025-12-04T09:08:33.9731735Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2025-12-04T09:08:33.9733781Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1093 <- wrt source file 2025-12-04T09:08:33.9735739Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2025-12-04T09:08:33.9737937Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1118 <- wrt source file 2025-12-04T09:08:33.9739790Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2025-12-04T09:08:33.9741278Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1164 <- wrt source file 2025-12-04T09:08:33.9742747Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2025-12-04T09:08:33.9743511Z ============ 2025-12-04T09:08:33.9743782Z Finished doctests 2025-12-04T09:08:33.9744006Z 378 / 894 passed 2025-12-04T09:08:33.9744245Z  2025-12-04T09:08:33.9744545Z === Found 17 parse-time warnings === 2025-12-04T09:08:33.9744955Z --- Parse Warning: 1 / 17 --- 2025-12-04T09:08:33.9746059Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368. 2025-12-04T09:08:33.9747298Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:33.9747912Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:08:33.9748342Z 2025-12-04T09:08:33.9748675Z This function only works for a library with global namespace ("_"). 2025-12-04T09:08:33.9749174Z 2025-12-04T09:08:33.9749364Z Args: 2025-12-04T09:08:33.9749791Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:08:33.9750315Z to register a fallthrough. 2025-12-04T09:08:33.9750862Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:08:33.9751478Z the dispatch key that the library was created with. 2025-12-04T09:08:33.9752142Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:08:33.9752960Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:08:33.9753478Z 2025-12-04T09:08:33.9753684Z Example:: 2025-12-04T09:08:33.9753916Z 2025-12-04T09:08:33.9754128Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:08:33.9754493Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:08:33.9754873Z >>> # Handle all autocast ops generically 2025-12-04T09:08:33.9755213Z >>> # ... 2025-12-04T09:08:33.9755623Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:08:33.9755970Z 2025-12-04T09:08:33.9756745Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:08:33.9757622Z 2025-12-04T09:08:33.9757865Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:08:33.9758196Z ^ 2025-12-04T09:08:33.9758394Z warnings.warn(msg) 2025-12-04T09:08:33.9758642Z 2025-12-04T09:08:33.9758947Z --- Parse Warning: 2 / 17 --- 2025-12-04T09:08:33.9760037Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958. 2025-12-04T09:08:33.9761237Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:33.9761846Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:08:33.9762280Z 2025-12-04T09:08:33.9762558Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:08:33.9762937Z 2025-12-04T09:08:33.9763299Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:08:33.9763889Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:08:33.9764462Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:08:33.9764964Z what the properties of the output Tensors are. 2025-12-04T09:08:33.9765302Z 2025-12-04T09:08:33.9765637Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:08:33.9766201Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:08:33.9766750Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:08:33.9767304Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:08:33.9767823Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:08:33.9768382Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:08:33.9768935Z (and may not directly access the storage or data of any input or 2025-12-04T09:08:33.9769345Z intermediate Tensors). 2025-12-04T09:08:33.9769617Z 2025-12-04T09:08:33.9769890Z This API may be used as a decorator (see examples). 2025-12-04T09:08:33.9770230Z 2025-12-04T09:08:33.9770482Z For a detailed guide on custom ops, please see 2025-12-04T09:08:33.9770987Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:08:33.9771423Z 2025-12-04T09:08:33.9771607Z Args: 2025-12-04T09:08:33.9771961Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:08:33.9772433Z func: Fake tensor implementation. 2025-12-04T09:08:33.9772848Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:08:33.9773350Z allow_override: Flag controlling if we want to override an 2025-12-04T09:08:33.9773828Z existing registered fake impl. This is by default off, 2025-12-04T09:08:33.9774287Z and will error you're trying to register a fake impl to 2025-12-04T09:08:33.9774758Z an operator that already has a fake impl. This also only 2025-12-04T09:08:33.9775218Z applies if the custom operator was not created via 2025-12-04T09:08:33.9775689Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:08:33.9776108Z impl is already allowed. 2025-12-04T09:08:33.9776425Z 2025-12-04T09:08:33.9776627Z Examples: 2025-12-04T09:08:33.9776851Z >>> import torch 2025-12-04T09:08:33.9777195Z >>> import numpy as np 2025-12-04T09:08:33.9777509Z >>> from torch import Tensor 2025-12-04T09:08:33.9777794Z >>> 2025-12-04T09:08:33.9778112Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:08:33.9778685Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:08:33.9779268Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:08:33.9779775Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:08:33.9780206Z >>> 2025-12-04T09:08:33.9780592Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:08:33.9780964Z >>> def _(x, weight, bias): 2025-12-04T09:08:33.9781278Z >>> assert x.dim() == 2 2025-12-04T09:08:33.9781596Z >>> assert weight.dim() == 2 2025-12-04T09:08:33.9781911Z >>> assert bias.dim() == 1 2025-12-04T09:08:33.9782264Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:08:33.9782636Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:08:33.9783006Z >>> assert x.device == weight.device 2025-12-04T09:08:33.9783319Z >>> 2025-12-04T09:08:33.9783566Z >>> return (x @ weight.t()) + bias 2025-12-04T09:08:33.9783875Z >>> 2025-12-04T09:08:33.9784166Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:08:33.9784562Z >>> x = torch.randn(2, 3) 2025-12-04T09:08:33.9784882Z >>> w = torch.randn(3, 3) 2025-12-04T09:08:33.9785184Z >>> b = torch.randn(3) 2025-12-04T09:08:33.9785526Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:08:33.9785861Z >>> 2025-12-04T09:08:33.9786099Z >>> assert y.shape == (2, 3) 2025-12-04T09:08:33.9786383Z >>> 2025-12-04T09:08:33.9786691Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:08:33.9787208Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:08:33.9787664Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:08:33.9788022Z >>> x_np = x.numpy(force=True) 2025-12-04T09:08:33.9788381Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:08:33.9788753Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:08:33.9789164Z >>> 2025-12-04T09:08:33.9789474Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:08:33.9789861Z >>> def _(x): 2025-12-04T09:08:33.9790165Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:08:33.9790741Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:08:33.9791174Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:08:33.9791571Z >>> # represents the data-dependent size. 2025-12-04T09:08:33.9791937Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:08:33.9792286Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:08:33.9792610Z >>> shape = [nnz, x.dim()] 2025-12-04T09:08:33.9792976Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:08:33.9793341Z >>> return result 2025-12-04T09:08:33.9793615Z >>> 2025-12-04T09:08:33.9793919Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:08:33.9794297Z >>> 2025-12-04T09:08:33.9794544Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:08:33.9795007Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:08:33.9795480Z >>> trace.print_readable() 2025-12-04T09:08:33.9795775Z >>> 2025-12-04T09:08:33.9796249Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:08:33.9796680Z 2025-12-04T09:08:33.9796873Z 2025-12-04T09:08:33.9797525Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:08:33.9798316Z 2025-12-04T09:08:33.9798510Z _._ = None 2025-12-04T09:08:33.9798720Z ^ 2025-12-04T09:08:33.9798917Z warnings.warn(msg) 2025-12-04T09:08:33.9799168Z 2025-12-04T09:08:33.9799500Z --- Parse Warning: 3 / 17 --- 2025-12-04T09:08:33.9800594Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530. 2025-12-04T09:08:33.9801808Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:33.9802401Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:08:33.9802801Z 2025-12-04T09:08:33.9803143Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:08:33.9803881Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:08:33.9804437Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:08:33.9804960Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:08:33.9805520Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:08:33.9806032Z that calls into the original kernel for certain cases. 2025-12-04T09:08:33.9806384Z 2025-12-04T09:08:33.9806584Z Args: 2025-12-04T09:08:33.9806916Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:08:33.9807641Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:08:33.9808344Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:08:33.9808920Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:08:33.9809317Z 2025-12-04T09:08:33.9809507Z Returns: 2025-12-04T09:08:33.9809888Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:08:33.9810352Z call the kernel. 2025-12-04T09:08:33.9810610Z 2025-12-04T09:08:33.9810803Z Raises: 2025-12-04T09:08:33.9811081Z RuntimeError: If the operator does not exist. 2025-12-04T09:08:33.9811408Z 2025-12-04T09:08:33.9811602Z Example: 2025-12-04T09:08:33.9811857Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:08:33.9812285Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:08:33.9812671Z >>> 2025-12-04T09:08:33.9812923Z >>> # You can also use DispatchKey enum 2025-12-04T09:08:33.9813419Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:08:33.9813869Z >>> 2025-12-04T09:08:33.9814115Z >>> # Or use an OpOverload directly 2025-12-04T09:08:33.9814574Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:08:33.9814995Z >>> 2025-12-04T09:08:33.9815344Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:08:33.9815810Z >>> # Get the original kernel for torch.sin 2025-12-04T09:08:33.9816268Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:08:33.9816681Z >>> 2025-12-04T09:08:33.9817039Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:08:33.9817527Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:08:33.9817873Z >>> if (x < 0).any(): 2025-12-04T09:08:33.9818348Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:08:33.9818746Z >>> else: 2025-12-04T09:08:33.9819031Z >>> return torch.zeros_like(x) 2025-12-04T09:08:33.9819365Z >>> 2025-12-04T09:08:33.9819633Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:08:33.9820189Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:08:33.9820750Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:08:33.9821252Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:08:33.9821652Z >>> 2025-12-04T09:08:33.9821888Z >>> # Test the conditional behavior 2025-12-04T09:08:33.9822241Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:08:33.9822592Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:08:33.9822935Z >>> torch.sin(x_positive) 2025-12-04T09:08:33.9823226Z tensor([0., 0.]) 2025-12-04T09:08:33.9823500Z >>> torch.sin(x_mixed) 2025-12-04T09:08:33.9823793Z tensor([-0.8415, 0.9093]) 2025-12-04T09:08:33.9824066Z 2025-12-04T09:08:33.9824672Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:08:33.9825354Z 2025-12-04T09:08:33.9825638Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:08:33.9826020Z ^ 2025-12-04T09:08:33.9826237Z warnings.warn(msg) 2025-12-04T09:08:33.9826478Z 2025-12-04T09:08:33.9826815Z --- Parse Warning: 4 / 17 --- 2025-12-04T09:08:33.9827963Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T09:08:33.9829344Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:33.9829958Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:08:33.9830552Z required drivers are available and at least one device is visible. 2025-12-04T09:08:33.9831040Z See :ref:`accelerator` for details. 2025-12-04T09:08:33.9831382Z 2025-12-04T09:08:33.9831564Z Returns: 2025-12-04T09:08:33.9831982Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:08:33.9832461Z 2025-12-04T09:08:33.9832801Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:08:33.9833433Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:08:33.9834068Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:08:33.9834585Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:08:33.9834912Z 2025-12-04T09:08:33.9835112Z Example:: 2025-12-04T09:08:33.9835332Z 2025-12-04T09:08:33.9835702Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:08:33.9836181Z 2025-12-04T09:08:33.9836867Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:08:33.9837619Z 2025-12-04T09:08:33.9837988Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:08:33.9838473Z ^ 2025-12-04T09:08:33.9838770Z warnings.warn(msg) 2025-12-04T09:08:33.9839018Z 2025-12-04T09:08:33.9839309Z --- Parse Warning: 5 / 17 --- 2025-12-04T09:08:33.9840532Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T09:08:33.9841804Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:33.9842412Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:08:33.9842851Z 2025-12-04T09:08:33.9843036Z Args: 2025-12-04T09:08:33.9843480Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:08:33.9844155Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:08:33.9844767Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:08:33.9845256Z 2025-12-04T09:08:33.9845778Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:08:33.9846525Z 2025-12-04T09:08:33.9846848Z Example:: 2025-12-04T09:08:33.9847169Z 2025-12-04T09:08:33.9847485Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:08:33.9848133Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:08:33.9848890Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:08:33.9849426Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:08:33.9849834Z >>> start_event.record() 2025-12-04T09:08:33.9850373Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:08:33.9850973Z >>> sum = torch.sum(tensor) 2025-12-04T09:08:33.9851341Z >>> end_event.record() 2025-12-04T09:08:33.9851760Z >>> torch.accelerator.synchronize() 2025-12-04T09:08:33.9852333Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:08:33.9852801Z 2025-12-04T09:08:33.9853544Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:08:33.9866637Z 2025-12-04T09:08:33.9867200Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:08:33.9867735Z ^ 2025-12-04T09:08:33.9868049Z warnings.warn(msg) 2025-12-04T09:08:33.9868289Z 2025-12-04T09:08:33.9868630Z --- Parse Warning: 6 / 17 --- 2025-12-04T09:08:33.9869805Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T09:08:33.9871155Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:33.9871646Z Retrieves the CUDA runtime API module. 2025-12-04T09:08:33.9871969Z 2025-12-04T09:08:33.9872168Z 2025-12-04T09:08:33.9872525Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:08:33.9873143Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:08:33.9873729Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:08:33.9874149Z 2025-12-04T09:08:33.9874348Z Args: 2025-12-04T09:08:33.9874567Z ``None`` 2025-12-04T09:08:33.9874784Z 2025-12-04T09:08:33.9874987Z Returns: 2025-12-04T09:08:33.9875270Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:08:33.9875615Z 2025-12-04T09:08:33.9875802Z Raises: 2025-12-04T09:08:33.9876173Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:08:33.9876893Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:08:33.9877558Z 2025-12-04T09:08:33.9877805Z Example of CUDA operations with profiling: 2025-12-04T09:08:33.9878152Z >>> import torch 2025-12-04T09:08:33.9878455Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:08:33.9878829Z >>> import os 2025-12-04T09:08:33.9879077Z >>> 2025-12-04T09:08:33.9879357Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:08:33.9879670Z >>> 2025-12-04T09:08:33.9879938Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:08:33.9880310Z >>> stream = torch.cuda.Stream() 2025-12-04T09:08:33.9880648Z >>> with torch.cuda.stream(stream): 2025-12-04T09:08:33.9881016Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:08:33.9881393Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:08:33.9881730Z >>> z = torch.mul(x, y) 2025-12-04T09:08:33.9882044Z >>> return z 2025-12-04T09:08:33.9882304Z >>> 2025-12-04T09:08:33.9882537Z >>> torch.cuda.synchronize() 2025-12-04T09:08:33.9882891Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:08:33.9883283Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:08:33.9883685Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:08:33.9884085Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:08:33.9884486Z >>> print("CUDA operations completed.") 2025-12-04T09:08:33.9884895Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:08:33.9885291Z >>> print("====== End nsys profiling ======") 2025-12-04T09:08:33.9885617Z 2025-12-04T09:08:33.9885925Z To run this example and save the profiling information, execute: 2025-12-04T09:08:33.9886600Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:08:33.9887163Z 2025-12-04T09:08:33.9887526Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:08:33.9888088Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:08:33.9888628Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:08:33.9889141Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:08:33.9889629Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:08:33.9890104Z CSV file and print a summary, respectively. 2025-12-04T09:08:33.9890820Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:08:33.9891350Z overwrite of the output file if it already exists. 2025-12-04T09:08:33.9891711Z 2025-12-04T09:08:33.9892487Z 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)) 2025-12-04T09:08:33.9893340Z 2025-12-04T09:08:33.9893810Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:08:33.9894358Z ^ 2025-12-04T09:08:33.9894574Z warnings.warn(msg) 2025-12-04T09:08:33.9894836Z 2025-12-04T09:08:33.9895160Z --- Parse Warning: 7 / 17 --- 2025-12-04T09:08:33.9896245Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T09:08:33.9897462Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:33.9897916Z 2025-12-04T09:08:33.9898237Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:08:33.9898901Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:08:33.9899446Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:08:33.9899903Z vectorizing those operations. 2025-12-04T09:08:33.9900174Z 2025-12-04T09:08:33.9900537Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:08:33.9901114Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:08:33.9901640Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:08:33.9902144Z compute batched gradients when composed with autograd. 2025-12-04T09:08:33.9902511Z 2025-12-04T09:08:33.9902707Z .. note:: 2025-12-04T09:08:33.9903015Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:08:33.9903452Z convenience. Use whichever one you'd like. 2025-12-04T09:08:33.9903777Z 2025-12-04T09:08:33.9903955Z Args: 2025-12-04T09:08:33.9904296Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:08:33.9904740Z Must return one or more Tensors. 2025-12-04T09:08:33.9905152Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:08:33.9905647Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:08:33.9906134Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:08:33.9906621Z input is None, then that indicates there is no map dimension. 2025-12-04T09:08:33.9907022Z Default: 0. 2025-12-04T09:08:33.9907374Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:08:33.9907881Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:08:33.9908342Z it should have one element per output. Default: 0. 2025-12-04T09:08:33.9908800Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:08:33.9909397Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:08:33.9909922Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:08:33.9910462Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:08:33.9911015Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:08:33.9911553Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:08:33.9911999Z Python's random module or numpy randomness. 2025-12-04T09:08:33.9912478Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:08:33.9913046Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:08:33.9913636Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:08:33.9914291Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:08:33.9914762Z 2025-12-04T09:08:33.9914957Z Returns: 2025-12-04T09:08:33.9915261Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:08:33.9915748Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:08:33.9916242Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:08:33.9916721Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:08:33.9917129Z specified by ``out_dims``. 2025-12-04T09:08:33.9917405Z 2025-12-04T09:08:33.9917587Z .. warning: 2025-12-04T09:08:33.9917921Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:08:33.9918428Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:08:33.9918965Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:08:33.9919625Z Python data structures and assigning values to variables not captured 2025-12-04T09:08:33.9920063Z in ``func``. 2025-12-04T09:08:33.9920297Z 2025-12-04T09:08:33.9920635Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:08:33.9921241Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:08:33.9921854Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:08:33.9922264Z 2025-12-04T09:08:33.9922480Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:08:33.9922898Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:08:33.9923494Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:08:33.9923821Z >>> batched_dot(x, y) 2025-12-04T09:08:33.9924089Z 2025-12-04T09:08:33.9924425Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:08:33.9924867Z model authoring experience. 2025-12-04T09:08:33.9925148Z 2025-12-04T09:08:33.9925378Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:08:33.9925757Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:08:33.9926135Z >>> 2025-12-04T09:08:33.9926356Z >>> def model(feature_vec): 2025-12-04T09:08:33.9926675Z >>> # Very simple linear model with activation 2025-12-04T09:08:33.9927054Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:08:33.9927371Z >>> 2025-12-04T09:08:33.9927639Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:08:33.9928013Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:08:33.9928324Z 2025-12-04T09:08:33.9928682Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:08:33.9929282Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:08:33.9929947Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:08:33.9930534Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:08:33.9931137Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:08:33.9931738Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:08:33.9932210Z call to ``autograd.grad``. 2025-12-04T09:08:33.9932487Z 2025-12-04T09:08:33.9932673Z >>> # Setup 2025-12-04T09:08:33.9932900Z >>> N = 5 2025-12-04T09:08:33.9933138Z >>> f = lambda x: x**2 2025-12-04T09:08:33.9933428Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:08:33.9933750Z >>> y = f(x) 2025-12-04T09:08:33.9934000Z >>> I_N = torch.eye(N) 2025-12-04T09:08:33.9934252Z >>> 2025-12-04T09:08:33.9934478Z >>> # Sequential approach 2025-12-04T09:08:33.9934890Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:08:33.9935329Z >>> for v in I_N.unbind()] 2025-12-04T09:08:33.9935677Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:08:33.9935999Z >>> 2025-12-04T09:08:33.9936244Z >>> # vectorized gradient computation 2025-12-04T09:08:33.9936555Z >>> def get_vjp(v): 2025-12-04T09:08:33.9936842Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:08:33.9937196Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:08:33.9937488Z 2025-12-04T09:08:33.9937849Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:08:33.9938302Z 2025-12-04T09:08:33.9938501Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:08:33.9938797Z >>> batched_dot = torch.vmap( 2025-12-04T09:08:33.9939096Z ... torch.vmap(torch.dot) 2025-12-04T09:08:33.9939406Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:08:33.9939754Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:08:33.9940198Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:08:33.9940510Z 2025-12-04T09:08:33.9940849Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:08:33.9941360Z the dimension that each inputs are batched along as 2025-12-04T09:08:33.9941727Z 2025-12-04T09:08:33.9941952Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:08:33.9942368Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:08:33.9942835Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:08:33.9943161Z >>> batched_dot( 2025-12-04T09:08:33.9943393Z ... x, y 2025-12-04T09:08:33.9943713Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:08:33.9944086Z 2025-12-04T09:08:33.9944432Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:08:33.9944997Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:08:33.9945373Z 2025-12-04T09:08:33.9945557Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:08:33.9945984Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:08:33.9946442Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:08:33.9946753Z >>> batched_dot( 2025-12-04T09:08:33.9946976Z ... x, y 2025-12-04T09:08:33.9947292Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:08:33.9947667Z 2025-12-04T09:08:33.9947987Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:08:33.9948436Z matching the shape of the input: 2025-12-04T09:08:33.9948706Z 2025-12-04T09:08:33.9948934Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:08:33.9949373Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:08:33.9949690Z >>> input = {"x": x, "y": y} 2025-12-04T09:08:33.9950046Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:08:33.9950417Z >>> batched_dot(input) 2025-12-04T09:08:33.9950658Z 2025-12-04T09:08:33.9951026Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:08:33.9951533Z along any dimension by using ``out_dims`` 2025-12-04T09:08:33.9951831Z 2025-12-04T09:08:33.9952020Z >>> f = lambda x: x**2 2025-12-04T09:08:33.9952278Z >>> x = torch.randn(2, 5) 2025-12-04T09:08:33.9952582Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:08:33.9952905Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:08:33.9953171Z 2025-12-04T09:08:33.9953562Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:08:33.9954056Z accept kwargs 2025-12-04T09:08:33.9954259Z 2025-12-04T09:08:33.9954462Z >>> x = torch.randn([2, 5]) 2025-12-04T09:08:33.9954761Z >>> def fn(x, scale=4.): 2025-12-04T09:08:33.9955035Z >>> return x * scale 2025-12-04T09:08:33.9955281Z >>> 2025-12-04T09:08:33.9955501Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:08:33.9955856Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:08:33.9956315Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:08:33.9956739Z 2025-12-04T09:08:33.9956930Z .. note:: 2025-12-04T09:08:33.9957260Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:08:33.9957698Z sequences out of the box. 2025-12-04T09:08:33.9957963Z 2025-12-04T09:08:33.9958585Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:08:33.9959308Z 2025-12-04T09:08:33.9959493Z _._ = None 2025-12-04T09:08:33.9959698Z ^ 2025-12-04T09:08:33.9959961Z warnings.warn(msg) 2025-12-04T09:08:33.9960203Z 2025-12-04T09:08:33.9960524Z --- Parse Warning: 8 / 17 --- 2025-12-04T09:08:33.9961591Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T09:08:33.9962846Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:33.9963442Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:08:33.9963986Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:08:33.9964400Z compute higher-order gradients. 2025-12-04T09:08:33.9964694Z 2025-12-04T09:08:33.9964878Z Args: 2025-12-04T09:08:33.9965201Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:08:33.9965790Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:08:33.9966425Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:08:33.9966893Z ``(output, aux)``. 2025-12-04T09:08:33.9967360Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:08:33.9967952Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:08:33.9968481Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:08:33.9968965Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:08:33.9969316Z 2025-12-04T09:08:33.9969500Z Returns: 2025-12-04T09:08:33.9969902Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:08:33.9970531Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:08:33.9971152Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:08:33.9971790Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:08:33.9972287Z respect to each ``argnums`` value is returned. 2025-12-04T09:08:33.9972621Z 2025-12-04T09:08:33.9972828Z Example of using ``grad``: 2025-12-04T09:08:33.9973095Z 2025-12-04T09:08:33.9973296Z >>> # xdoctest: +SKIP 2025-12-04T09:08:33.9973596Z >>> from torch.func import grad 2025-12-04T09:08:33.9973899Z >>> x = torch.randn([]) 2025-12-04T09:08:33.9974217Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:08:33.9974578Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:08:33.9974891Z >>> 2025-12-04T09:08:33.9975114Z >>> # Second-order gradients 2025-12-04T09:08:33.9975479Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:08:33.9975873Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:08:33.9976186Z 2025-12-04T09:08:33.9976542Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:08:33.9976991Z 2025-12-04T09:08:33.9977182Z >>> # xdoctest: +SKIP 2025-12-04T09:08:33.9977492Z >>> from torch.func import grad, vmap 2025-12-04T09:08:33.9977834Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:08:33.9978123Z >>> 2025-12-04T09:08:33.9978364Z >>> def model(weights, feature_vec): 2025-12-04T09:08:33.9978722Z >>> # Very simple linear model with activation 2025-12-04T09:08:33.9979080Z >>> assert feature_vec.dim() == 1 2025-12-04T09:08:33.9979421Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:08:33.9979745Z >>> 2025-12-04T09:08:33.9980062Z >>> def compute_loss(weights, example, target): 2025-12-04T09:08:33.9980406Z >>> y = model(weights, example) 2025-12-04T09:08:33.9980753Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:08:33.9981077Z >>> 2025-12-04T09:08:33.9981392Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:08:33.9981857Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:08:33.9982232Z >>> targets = torch.randn(batch_size) 2025-12-04T09:08:33.9982588Z >>> inputs = (weights, examples, targets) 2025-12-04T09:08:33.9983037Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:08:33.9983479Z ... *inputs 2025-12-04T09:08:33.9983724Z ... ) 2025-12-04T09:08:33.9983917Z 2025-12-04T09:08:33.9984192Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:08:33.9984561Z 2025-12-04T09:08:33.9984749Z >>> # xdoctest: +SKIP 2025-12-04T09:08:33.9985045Z >>> from torch.func import grad 2025-12-04T09:08:33.9985371Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:08:33.9985702Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:08:33.9986056Z >>> loss = loss_per_sample.mean() 2025-12-04T09:08:33.9986405Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:08:33.9986722Z >>> 2025-12-04T09:08:33.9986980Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:08:33.9987339Z >>> y_true = torch.rand(4) 2025-12-04T09:08:33.9987675Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:08:33.9988011Z >>> out = fn(y_true, y_preds) 2025-12-04T09:08:33.9988462Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:08:33.9988899Z 2025-12-04T09:08:33.9989191Z .. note:: 2025-12-04T09:08:33.9989501Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:08:33.9989865Z 2025-12-04T09:08:33.9990106Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:08:33.9990633Z 2025-12-04T09:08:33.9990841Z >>> # xdoctest: +SKIP 2025-12-04T09:08:33.9991134Z >>> def f(x): 2025-12-04T09:08:33.9991402Z >>> with torch.no_grad(): 2025-12-04T09:08:33.9991716Z >>> c = x ** 2 2025-12-04T09:08:33.9992011Z >>> return x - c 2025-12-04T09:08:33.9992271Z 2025-12-04T09:08:33.9992568Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:08:33.9992959Z 2025-12-04T09:08:33.9993232Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:08:33.9993605Z 2025-12-04T09:08:33.9993809Z >>> # xdoctest: +SKIP 2025-12-04T09:08:33.9994104Z >>> with torch.no_grad(): 2025-12-04T09:08:33.9994400Z >>> grad(f)(x) 2025-12-04T09:08:33.9994660Z 2025-12-04T09:08:33.9994968Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:08:33.9995525Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:08:33.9996085Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:08:33.9996499Z 2025-12-04T09:08:33.9996668Z 2025-12-04T09:08:33.9997306Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:08:33.9998022Z 2025-12-04T09:08:33.9998197Z _._ = None 2025-12-04T09:08:33.9998396Z ^ 2025-12-04T09:08:33.9998595Z warnings.warn(msg) 2025-12-04T09:08:33.9998831Z 2025-12-04T09:08:33.9999137Z --- Parse Warning: 9 / 17 --- 2025-12-04T09:08:34.0000465Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T09:08:34.0001864Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:34.0002440Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:08:34.0002804Z 2025-12-04T09:08:34.0003150Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:08:34.0003583Z 2025-12-04T09:08:34.0003906Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:08:34.0004468Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:08:34.0004963Z Given some input Tensors with certain properties 2025-12-04T09:08:34.0005470Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:08:34.0005948Z the output Tensors are. 2025-12-04T09:08:34.0006228Z 2025-12-04T09:08:34.0006530Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:08:34.0006937Z 2025-12-04T09:08:34.0007135Z Args: 2025-12-04T09:08:34.0007435Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:08:34.0007831Z implementation. 2025-12-04T09:08:34.0008113Z 2025-12-04T09:08:34.0008317Z Examples: 2025-12-04T09:08:34.0008557Z >>> import torch 2025-12-04T09:08:34.0008856Z >>> import numpy as np 2025-12-04T09:08:34.0009185Z >>> from torch import Tensor 2025-12-04T09:08:34.0009476Z >>> 2025-12-04T09:08:34.0009810Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:08:34.0010315Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:08:34.0010806Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:08:34.0011247Z >>> return (x @ weight.t()) + bias 2025-12-04T09:08:34.0011568Z >>> 2025-12-04T09:08:34.0011823Z >>> @linear.register_fake 2025-12-04T09:08:34.0012138Z >>> def _(x, weight, bias): 2025-12-04T09:08:34.0012464Z >>> assert x.dim() == 2 2025-12-04T09:08:34.0012797Z >>> assert weight.dim() == 2 2025-12-04T09:08:34.0013121Z >>> assert bias.dim() == 1 2025-12-04T09:08:34.0013469Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:08:34.0013847Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:08:34.0014212Z >>> assert x.device == weight.device 2025-12-04T09:08:34.0014588Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:08:34.0014942Z >>> 2025-12-04T09:08:34.0015184Z >>> x = torch.randn(2, 2) 2025-12-04T09:08:34.0015501Z >>> weight = torch.randn(2, 2) 2025-12-04T09:08:34.0015832Z >>> bias = torch.randn(2) 2025-12-04T09:08:34.0016181Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:08:34.0016619Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:08:34.0017068Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:08:34.0017573Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:08:34.0018018Z >>> 2025-12-04T09:08:34.0018342Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:08:34.0018839Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:08:34.0019275Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:08:34.0019672Z >>> x_np = x.cpu().numpy() 2025-12-04T09:08:34.0020033Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:08:34.0020422Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:08:34.0020776Z >>> 2025-12-04T09:08:34.0021023Z >>> @nonzero.register_fake 2025-12-04T09:08:34.0021363Z >>> def _(x): 2025-12-04T09:08:34.0021677Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:08:34.0022111Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:08:34.0022556Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:08:34.0022967Z >>> # represents the data-dependent size. 2025-12-04T09:08:34.0023323Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:08:34.0023676Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:08:34.0024024Z >>> shape = [nnz, x.dim()] 2025-12-04T09:08:34.0024381Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:08:34.0024753Z >>> return result 2025-12-04T09:08:34.0025040Z >>> 2025-12-04T09:08:34.0025302Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:08:34.0025660Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:08:34.0026062Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:08:34.0026464Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:08:34.0026835Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:08:34.0027167Z 2025-12-04T09:08:34.0027365Z 2025-12-04T09:08:34.0028018Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:08:34.0028755Z 2025-12-04T09:08:34.0028953Z _._ = None 2025-12-04T09:08:34.0029236Z ^ 2025-12-04T09:08:34.0029450Z warnings.warn(msg) 2025-12-04T09:08:34.0029703Z 2025-12-04T09:08:34.0030023Z --- Parse Warning: 10 / 17 --- 2025-12-04T09:08:34.0031238Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T09:08:34.0032612Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:08:34.0033078Z 2025-12-04T09:08:34.0033409Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:08:34.0034006Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:08:34.0034456Z 2025-12-04T09:08:34.0034777Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:08:34.0035336Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:08:34.0035893Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:08:34.0036455Z information we will match a given input to the recorded profile, and return 2025-12-04T09:08:34.0037032Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:08:34.0037521Z doesn't exist then an exception will be thrown. 2025-12-04T09:08:34.0037857Z 2025-12-04T09:08:34.0038199Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:08:34.0038843Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:08:34.0039477Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:08:34.0040108Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:08:34.0040801Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:08:34.0041456Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:08:34.0042138Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:08:34.0042636Z potentially unsafe. 2025-12-04T09:08:34.0042867Z 2025-12-04T09:08:34.0043094Z Args: 2025-12-04T09:08:34.0043433Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:08:34.0043963Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:08:34.0044373Z kernels. 2025-12-04T09:08:34.0044666Z 2025-12-04T09:08:34.0044860Z Examples: 2025-12-04T09:08:34.0045073Z 2025-12-04T09:08:34.0045359Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:08:34.0045728Z >>> import torch 2025-12-04T09:08:34.0046058Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:08:34.0046425Z >>> 2025-12-04T09:08:34.0046723Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:08:34.0047148Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:08:34.0047489Z >>> return x + y 2025-12-04T09:08:34.0047754Z >>> 2025-12-04T09:08:34.0047974Z >>> class M(torch.nn.Module): 2025-12-04T09:08:34.0048298Z >>> def forward(self, a, b): 2025-12-04T09:08:34.0048662Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:08:34.0049009Z >>> return res 2025-12-04T09:08:34.0049275Z >>> 2025-12-04T09:08:34.0049565Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:08:34.0049932Z >>> 2025-12-04T09:08:34.0050353Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:08:34.0050897Z >>> decomp = ep.run_decompositions() 2025-12-04T09:08:34.0051205Z 2025-12-04T09:08:34.0051405Z 2025-12-04T09:08:34.0052008Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:08:34.0052691Z 2025-12-04T09:08:34.0052886Z warnings.warn(msg) 2025-12-04T09:08:34.0053135Z 2025-12-04T09:08:34.0053454Z --- Parse Warning: 11 / 17 --- 2025-12-04T09:08:34.0054890Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T09:08:34.0056451Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:34.0056903Z 2025-12-04T09:08:34.0057279Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:08:34.0057888Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:08:34.0058489Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:08:34.0058959Z input by the user. 2025-12-04T09:08:34.0059332Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:08:34.0059835Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:08:34.0060188Z 2025-12-04T09:08:34.0060373Z Note:: 2025-12-04T09:08:34.0060821Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:08:34.0061349Z 2025-12-04T09:08:34.0061539Z Args: 2025-12-04T09:08:34.0061744Z model (nn.Module): 2025-12-04T09:08:34.0062139Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:08:34.0062726Z sparsified should be added separately using the register_layer() function 2025-12-04T09:08:34.0063196Z aggregate_fn (Optional, Callable): 2025-12-04T09:08:34.0063763Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:08:34.0064312Z specifies how inputs should be aggregated over time. 2025-12-04T09:08:34.0064885Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:08:34.0065421Z Example 2025-12-04T09:08:34.0065744Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:08:34.0066161Z reduce_fn (Optional, Callable): 2025-12-04T09:08:34.0066627Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:08:34.0067259Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:08:34.0067758Z calling agg_fn() on all inputs. 2025-12-04T09:08:34.0068085Z Example 2025-12-04T09:08:34.0068446Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:08:34.0068883Z mask_fn (Optional, Callable): 2025-12-04T09:08:34.0069509Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:08:34.0070191Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:08:34.0070680Z register_layer(). 2025-12-04T09:08:34.0071244Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:08:34.0071817Z arguments. 2025-12-04T09:08:34.0072101Z features (Optional, list): 2025-12-04T09:08:34.0072454Z default selected features to sparsify. 2025-12-04T09:08:34.0072969Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:08:34.0073444Z For example, 2025-12-04T09:08:34.0073884Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:08:34.0074373Z feature_dim (Optional, int): 2025-12-04T09:08:34.0074865Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:08:34.0075372Z for sparsification. 2025-12-04T09:08:34.0075689Z sparse_config (Dict): 2025-12-04T09:08:34.0076113Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:08:34.0076546Z with the mask_fn() 2025-12-04T09:08:34.0076831Z 2025-12-04T09:08:34.0077027Z Example: 2025-12-04T09:08:34.0077237Z >>> # xdoctest: +SKIP 2025-12-04T09:08:34.0077519Z >>> model = SomeModel() 2025-12-04T09:08:34.0077948Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:08:34.0078413Z >>> # Initialize aggregate_fn 2025-12-04T09:08:34.0078722Z >>> def agg_fn(x, y): 2025-12-04T09:08:34.0078999Z >>> return x + y 2025-12-04T09:08:34.0079257Z >>> 2025-12-04T09:08:34.0079468Z >>> # Initialize reduce_fn 2025-12-04T09:08:34.0079770Z >>> def reduce_fn(x): 2025-12-04T09:08:34.0080064Z >>> return torch.mean(x, dim=0) 2025-12-04T09:08:34.0080360Z >>> 2025-12-04T09:08:34.0080581Z >>> # Initialize mask_fn 2025-12-04T09:08:34.0080864Z >>> def mask_fn(data): 2025-12-04T09:08:34.0081179Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:08:34.0081524Z >>> 2025-12-04T09:08:34.0081726Z >>> 2025-12-04T09:08:34.0081948Z >>> act_sparsifier.register_layer( 2025-12-04T09:08:34.0082273Z ... model.some_layer, 2025-12-04T09:08:34.0082565Z ... aggregate_fn=agg_fn, 2025-12-04T09:08:34.0082854Z ... reduce_fn=reduce_fn, 2025-12-04T09:08:34.0083156Z ... mask_fn=mask_fn, 2025-12-04T09:08:34.0083519Z ... ) 2025-12-04T09:08:34.0083722Z >>> 2025-12-04T09:08:34.0083954Z >>> # start training process 2025-12-04T09:08:34.0084253Z >>> for _ in [...]: 2025-12-04T09:08:34.0084509Z >>> # epoch starts 2025-12-04T09:08:34.0084878Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:08:34.0085338Z >>> # epoch ends 2025-12-04T09:08:34.0085613Z >>> act_sparsifier.step() 2025-12-04T09:08:34.0085917Z >>> # end training process 2025-12-04T09:08:34.0086228Z >>> sparsifier.squash_mask() 2025-12-04T09:08:34.0086519Z 2025-12-04T09:08:34.0087130Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:08:34.0087841Z 2025-12-04T09:08:34.0088043Z _._ = None 2025-12-04T09:08:34.0088247Z ^ 2025-12-04T09:08:34.0088465Z warnings.warn(msg) 2025-12-04T09:08:34.0088717Z 2025-12-04T09:08:34.0089025Z --- Parse Warning: 12 / 17 --- 2025-12-04T09:08:34.0090233Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T09:08:34.0091831Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:34.0092289Z 2025-12-04T09:08:34.0092664Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:08:34.0093334Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:08:34.0093819Z ``mesh_dim_names`` 2025-12-04T09:08:34.0094044Z 2025-12-04T09:08:34.0094238Z Args: 2025-12-04T09:08:34.0094589Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:08:34.0095138Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:08:34.0095515Z Returns: 2025-12-04T09:08:34.0095745Z A :class:`DeviceMesh` object 2025-12-04T09:08:34.0096033Z 2025-12-04T09:08:34.0096421Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:08:34.0096928Z In the first example: 2025-12-04T09:08:34.0097354Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:08:34.0097966Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:08:34.0098562Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:08:34.0099136Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:08:34.0099702Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:08:34.0100265Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:08:34.0100690Z 2025-12-04T09:08:34.0100898Z In the second example: 2025-12-04T09:08:34.0101331Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:08:34.0101986Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:08:34.0102640Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:08:34.0103289Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:08:34.0103743Z 2025-12-04T09:08:34.0103946Z Example:: 2025-12-04T09:08:34.0104156Z 2025-12-04T09:08:34.0104362Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:08:34.0104751Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:08:34.0105124Z >>> 2025-12-04T09:08:34.0105551Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:08:34.0106025Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:08:34.0106544Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:08:34.0107099Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:08:34.0107396Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:08:34.0107681Z >>> 2025-12-04T09:08:34.0107907Z >>> # Initialize a 3D mesh. 2025-12-04T09:08:34.0108378Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:08:34.0109145Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:08:34.0109689Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:08:34.0110030Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:08:34.0110320Z 2025-12-04T09:08:34.0111122Z 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)) 2025-12-04T09:08:34.0112002Z 2025-12-04T09:08:34.0112349Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:08:34.0112843Z ^ 2025-12-04T09:08:34.0113189Z warnings.warn(msg) 2025-12-04T09:08:34.0113442Z 2025-12-04T09:08:34.0113751Z --- Parse Warning: 13 / 17 --- 2025-12-04T09:08:34.0114966Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T09:08:34.0116306Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:34.0116750Z 2025-12-04T09:08:34.0117152Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:08:34.0117645Z 2025-12-04T09:08:34.0118056Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:08:34.0118547Z 2025-12-04T09:08:34.0118941Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:08:34.0119461Z will be visible to the whole process. 2025-12-04T09:08:34.0119756Z 2025-12-04T09:08:34.0120144Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:08:34.0120636Z 2025-12-04T09:08:34.0120855Z 1) set_up_planner - called on all ranks. 2025-12-04T09:08:34.0121214Z Signals the start of a checkpoint save. 2025-12-04T09:08:34.0121539Z 2025-12-04T09:08:34.0121762Z 2) create_local_plan - called on all ranks. 2025-12-04T09:08:34.0122290Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:08:34.0122781Z 2025-12-04T09:08:34.0123073Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:08:34.0123558Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:08:34.0123959Z 2025-12-04T09:08:34.0124180Z 4) finish_plan - called on all ranks. 2025-12-04T09:08:34.0124605Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:08:34.0125022Z 2025-12-04T09:08:34.0125287Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:08:34.0125747Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:08:34.0126157Z 2025-12-04T09:08:34.0126577Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:08:34.0127196Z most changes can be expressed by changes in a single method. 2025-12-04T09:08:34.0127567Z 2025-12-04T09:08:34.0127879Z There are 3 usual patterns of extension: 2025-12-04T09:08:34.0128205Z 2025-12-04T09:08:34.0128566Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:08:34.0129212Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:08:34.0129669Z 2025-12-04T09:08:34.0129886Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:34.0130249Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:08:34.0130603Z >>> def set_up_planner( 2025-12-04T09:08:34.0130870Z >>> self, 2025-12-04T09:08:34.0131137Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:08:34.0131487Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:08:34.0131844Z >>> is_coordinator: bool, 2025-12-04T09:08:34.0132131Z >>> ) -> None: 2025-12-04T09:08:34.0132396Z >>> # prefix all keys with `foo_`` 2025-12-04T09:08:34.0132914Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:08:34.0133396Z 2025-12-04T09:08:34.0133843Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:08:34.0134381Z 2025-12-04T09:08:34.0134593Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:34.0134951Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:08:34.0135302Z >>> def create_local_plan(self): 2025-12-04T09:08:34.0135631Z >>> plan = super().create_local_plan() 2025-12-04T09:08:34.0135964Z >>> for p in plan: 2025-12-04T09:08:34.0136264Z >>> if p.tensor_data is not None: 2025-12-04T09:08:34.0136649Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:08:34.0137006Z >>> return plan 2025-12-04T09:08:34.0137260Z >>> 2025-12-04T09:08:34.0137494Z >>> def resolve_data(self, write_item): 2025-12-04T09:08:34.0137843Z >>> item = super().resolve_data(write_item) 2025-12-04T09:08:34.0138361Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:08:34.0138839Z 2025-12-04T09:08:34.0139289Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:08:34.0139843Z 2025-12-04T09:08:34.0140069Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:34.0140406Z >>> from itertools import zip_longest 2025-12-04T09:08:34.0140727Z >>> from dataclasses import replace 2025-12-04T09:08:34.0141111Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:08:34.0141668Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:08:34.0142182Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:08:34.0142554Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:08:34.0142948Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:08:34.0143305Z >>> items_per_rank = [ 2025-12-04T09:08:34.0143639Z >>> [item for item in items if item is not None] 2025-12-04T09:08:34.0144050Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:08:34.0144419Z >>> ] 2025-12-04T09:08:34.0144641Z >>> all_plans = [ 2025-12-04T09:08:34.0144940Z >>> replace(plan, items=items) 2025-12-04T09:08:34.0145359Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:08:34.0145747Z >>> ] 2025-12-04T09:08:34.0146033Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:08:34.0146374Z 2025-12-04T09:08:34.0146738Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:08:34.0147407Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:08:34.0147985Z the global planner aggregate them: 2025-12-04T09:08:34.0148295Z 2025-12-04T09:08:34.0148510Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:34.0148893Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:08:34.0149420Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:08:34.0149808Z >>> plan = super().create_local_plan() 2025-12-04T09:08:34.0150208Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:08:34.0150567Z >>> 2025-12-04T09:08:34.0150969Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:08:34.0151590Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:08:34.0152067Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:08:34.0152513Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:08:34.0152906Z >>> return global_plan, metadata 2025-12-04T09:08:34.0153206Z 2025-12-04T09:08:34.0153848Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:08:34.0154571Z 2025-12-04T09:08:34.0154764Z _._ = None 2025-12-04T09:08:34.0154977Z ^ 2025-12-04T09:08:34.0155175Z warnings.warn(msg) 2025-12-04T09:08:34.0155496Z 2025-12-04T09:08:34.0156128Z --- Parse Warning: 14 / 17 --- 2025-12-04T09:08:34.0159012Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T09:08:34.0162183Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:34.0163226Z 2025-12-04T09:08:34.0164156Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:08:34.0165285Z 2025-12-04T09:08:34.0166204Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:08:34.0167368Z 2025-12-04T09:08:34.0168271Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:08:34.0169469Z will be visible to the whole process. 2025-12-04T09:08:34.0170169Z 2025-12-04T09:08:34.0171051Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:08:34.0172155Z 2025-12-04T09:08:34.0172657Z 1) set_up_planner - called on all ranks. 2025-12-04T09:08:34.0173450Z Signals the start of loading a checkpoint. 2025-12-04T09:08:34.0174166Z 2025-12-04T09:08:34.0174692Z 2) create_local_plan - called on all ranks. 2025-12-04T09:08:34.0175884Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:08:34.0176995Z 2025-12-04T09:08:34.0177642Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:08:34.0178769Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:08:34.0179672Z 2025-12-04T09:08:34.0180222Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:08:34.0181183Z This is called once per non-tensor value in state_dict. 2025-12-04T09:08:34.0181353Z 2025-12-04T09:08:34.0181879Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:08:34.0182277Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:08:34.0182447Z 2025-12-04T09:08:34.0183176Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:08:34.0183591Z most changes can be expressed by changes in a single method. 2025-12-04T09:08:34.0183762Z 2025-12-04T09:08:34.0184059Z There are two usual patterns of extension: 2025-12-04T09:08:34.0184392Z 2025-12-04T09:08:34.0184990Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:08:34.0185581Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:08:34.0186147Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:08:34.0186483Z we need to be able to perform it in place 2025-12-04T09:08:34.0186652Z 2025-12-04T09:08:34.0186898Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:34.0187203Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:08:34.0187410Z >>> def set_up_planner( 2025-12-04T09:08:34.0187593Z >>> self, 2025-12-04T09:08:34.0187845Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:08:34.0188061Z >>> metadata: Metadata, 2025-12-04T09:08:34.0188300Z >>> is_coordinator: bool, 2025-12-04T09:08:34.0188482Z >>> ) -> None: 2025-12-04T09:08:34.0188760Z >>> self.original_state_dict = state_dict 2025-12-04T09:08:34.0189263Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:08:34.0189446Z >>> 2025-12-04T09:08:34.0189701Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:08:34.0190050Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:08:34.0190227Z >>> 2025-12-04T09:08:34.0190642Z >>> if self.flatten_state_dict: 2025-12-04T09:08:34.0191072Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:08:34.0191245Z >>> 2025-12-04T09:08:34.0191495Z >>> self.state_dict = state_dict 2025-12-04T09:08:34.0191722Z >>> self.metadata = metadata 2025-12-04T09:08:34.0191988Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:08:34.0192174Z >>> 2025-12-04T09:08:34.0192437Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:08:34.0192657Z >>> # Remove the "foo_" prefix 2025-12-04T09:08:34.0193399Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:08:34.0193580Z 2025-12-04T09:08:34.0193749Z 2025-12-04T09:08:34.0194359Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:08:34.0194533Z 2025-12-04T09:08:34.0194796Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:34.0195132Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:08:34.0195381Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:08:34.0195681Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:08:34.0195991Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:08:34.0196167Z >>> 2025-12-04T09:08:34.0196462Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:08:34.0196801Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:08:34.0196973Z 2025-12-04T09:08:34.0198262Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:08:34.0198436Z 2025-12-04T09:08:34.0198634Z _._ = None 2025-12-04T09:08:34.0198806Z ^ 2025-12-04T09:08:34.0199012Z warnings.warn(msg) 2025-12-04T09:08:34.0199203Z 2025-12-04T09:08:34.0199632Z --- Parse Warning: 15 / 17 --- 2025-12-04T09:08:34.0201928Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T09:08:34.0202506Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:34.0202678Z 2025-12-04T09:08:34.0203134Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:08:34.0203780Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:08:34.0204241Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:08:34.0204753Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:08:34.0205271Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:08:34.0205519Z follows: 2025-12-04T09:08:34.0205707Z 2025-12-04T09:08:34.0205977Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:08:34.0206507Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:08:34.0206800Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:08:34.0207256Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:08:34.0207768Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:08:34.0208000Z >>> state = fsdp.state_dict() 2025-12-04T09:08:34.0208477Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:08:34.0209030Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:08:34.0209551Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:08:34.0209773Z >>> if dist.get_rank() == 0: 2025-12-04T09:08:34.0210192Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:08:34.0210491Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:08:34.0210766Z >>> model.load_state_dict(state_dict) 2025-12-04T09:08:34.0211301Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:08:34.0211854Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:08:34.0212074Z >>> fsdp = FSDP( 2025-12-04T09:08:34.0212262Z ... model, 2025-12-04T09:08:34.0212552Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:08:34.0212800Z ... auto_wrap_policy=..., 2025-12-04T09:08:34.0213028Z ... sync_module_states=True, 2025-12-04T09:08:34.0213201Z ... ) 2025-12-04T09:08:34.0213703Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:08:34.0213880Z 2025-12-04T09:08:34.0214085Z Attributes: 2025-12-04T09:08:34.0214515Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:08:34.0214973Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:08:34.0215334Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:08:34.0215508Z 2025-12-04T09:08:34.0216677Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:08:34.0216867Z 2025-12-04T09:08:34.0217049Z _._ = None 2025-12-04T09:08:34.0217232Z ^ 2025-12-04T09:08:34.0217454Z warnings.warn(msg) 2025-12-04T09:08:34.0217629Z 2025-12-04T09:08:34.0218055Z --- Parse Warning: 16 / 17 --- 2025-12-04T09:08:34.0220397Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T09:08:34.0220967Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:34.0221323Z Register a parametrization to a tensor in a module. 2025-12-04T09:08:34.0221499Z 2025-12-04T09:08:34.0222124Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:08:34.0222793Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:08:34.0223489Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:08:34.0224176Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:08:34.0224348Z 2025-12-04T09:08:34.0225070Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:08:34.0225674Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:08:34.0225949Z 2025-12-04T09:08:34.0226536Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:08:34.0226827Z ``module.parametrizations.weight``. 2025-12-04T09:08:34.0226997Z 2025-12-04T09:08:34.0227302Z The original tensor will be accessible under 2025-12-04T09:08:34.0227616Z ``module.parametrizations.weight.original``. 2025-12-04T09:08:34.0227791Z 2025-12-04T09:08:34.0228416Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:08:34.0228641Z on the same attribute. 2025-12-04T09:08:34.0228819Z 2025-12-04T09:08:34.0229455Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:08:34.0229745Z to match the training mode of the host module 2025-12-04T09:08:34.0229925Z 2025-12-04T09:08:34.0230660Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:08:34.0230937Z using the context manager :func:`cached`. 2025-12-04T09:08:34.0231121Z 2025-12-04T09:08:34.0231667Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:08:34.0231834Z 2025-12-04T09:08:34.0232081Z .. code-block:: python 2025-12-04T09:08:34.0232253Z 2025-12-04T09:08:34.0232739Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:08:34.0232926Z 2025-12-04T09:08:34.0233522Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:08:34.0234010Z is registered to compute the initial value of the original tensor. 2025-12-04T09:08:34.0234735Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:08:34.0234918Z 2025-12-04T09:08:34.0235659Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:08:34.0236325Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:08:34.0236505Z 2025-12-04T09:08:34.0237037Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:08:34.0237589Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:08:34.0238131Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:08:34.0238321Z 2025-12-04T09:08:34.0239102Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:08:34.0239400Z with names ``original0``, ``original1``,... 2025-12-04T09:08:34.0239567Z 2025-12-04T09:08:34.0239754Z .. note:: 2025-12-04T09:08:34.0239945Z 2025-12-04T09:08:34.0240558Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:08:34.0240880Z once to perform a number of consistency checks. 2025-12-04T09:08:34.0241512Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:08:34.0241772Z and nothing will be called otherwise. 2025-12-04T09:08:34.0241952Z 2025-12-04T09:08:34.0242151Z .. note:: 2025-12-04T09:08:34.0242326Z 2025-12-04T09:08:34.0242803Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:08:34.0243056Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:08:34.0243805Z `right inverse `_). 2025-12-04T09:08:34.0244405Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:08:34.0244600Z to relax this. 2025-12-04T09:08:34.0244822Z 2025-12-04T09:08:34.0245029Z .. warning:: 2025-12-04T09:08:34.0245270Z 2025-12-04T09:08:34.0245900Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:08:34.0246506Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:08:34.0247126Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:08:34.0247580Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:08:34.0247752Z 2025-12-04T09:08:34.0247934Z Args: 2025-12-04T09:08:34.0248430Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:08:34.0248924Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:08:34.0249138Z the parametrization 2025-12-04T09:08:34.0249614Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:08:34.0249809Z Keyword args: 2025-12-04T09:08:34.0250314Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:08:34.0250747Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:08:34.0251361Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:08:34.0251627Z Enable this flag at your own risk. 2025-12-04T09:08:34.0251797Z 2025-12-04T09:08:34.0251976Z Raises: 2025-12-04T09:08:34.0252648Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:08:34.0252811Z 2025-12-04T09:08:34.0252995Z Examples: 2025-12-04T09:08:34.0253336Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:08:34.0253546Z >>> import torch 2025-12-04T09:08:34.0253787Z >>> import torch.nn as nn 2025-12-04T09:08:34.0254073Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:08:34.0254242Z >>> 2025-12-04T09:08:34.0254496Z >>> class Symmetric(nn.Module): 2025-12-04T09:08:34.0254716Z >>> def forward(self, X): 2025-12-04T09:08:34.0255110Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:08:34.0255292Z >>> 2025-12-04T09:08:34.0255534Z >>> def right_inverse(self, A): 2025-12-04T09:08:34.0255747Z >>> return A.triu() 2025-12-04T09:08:34.0255941Z >>> 2025-12-04T09:08:34.0256146Z >>> m = nn.Linear(5, 5) 2025-12-04T09:08:34.0256533Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:08:34.0257076Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:08:34.0257248Z True 2025-12-04T09:08:34.0257478Z >>> A = torch.rand(5, 5) 2025-12-04T09:08:34.0257719Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:08:34.0258163Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:08:34.0258448Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:08:34.0258617Z True 2025-12-04T09:08:34.0258792Z 2025-12-04T09:08:34.0278583Z >>> class RankOne(nn.Module): 2025-12-04T09:08:34.0278897Z >>> def forward(self, x, y): 2025-12-04T09:08:34.0279211Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:08:34.0279529Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:08:34.0279717Z >>> 2025-12-04T09:08:34.0279967Z >>> def right_inverse(self, Z): 2025-12-04T09:08:34.0280446Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:08:34.0280773Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:08:34.0281026Z >>> # Return rescaled singular vectors 2025-12-04T09:08:34.0281364Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:08:34.0281734Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:08:34.0281933Z >>> 2025-12-04T09:08:34.0282253Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:08:34.0282516Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:08:34.0282713Z ... ) 2025-12-04T09:08:34.0283171Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:08:34.0283357Z 1 2025-12-04T09:08:34.0283557Z 2025-12-04T09:08:34.0283730Z 2025-12-04T09:08:34.0284995Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:08:34.0285194Z 2025-12-04T09:08:34.0285375Z _._ = None 2025-12-04T09:08:34.0285566Z ^ 2025-12-04T09:08:34.0285774Z warnings.warn(msg) 2025-12-04T09:08:34.0285950Z 2025-12-04T09:08:34.0286431Z --- Parse Warning: 17 / 17 --- 2025-12-04T09:08:34.0288678Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T09:08:34.0289242Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:34.0289666Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:08:34.0289837Z 2025-12-04T09:08:34.0290444Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:08:34.0290861Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:08:34.0291295Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:08:34.0291577Z of epochs, the learning rate is reduced. 2025-12-04T09:08:34.0291754Z 2025-12-04T09:08:34.0291939Z Args: 2025-12-04T09:08:34.0292252Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:08:34.0292592Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:08:34.0292931Z be reduced when the quantity monitored has stopped 2025-12-04T09:08:34.0293298Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:08:34.0293729Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:08:34.0294125Z factor (float): Factor by which the learning rate will be 2025-12-04T09:08:34.0294417Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:08:34.0294916Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:08:34.0295215Z which the learning rate will be reduced. 2025-12-04T09:08:34.0295734Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:08:34.0296592Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:08:34.0297076Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:08:34.0297399Z we have what is considered an intolerable epoch. 2025-12-04T09:08:34.0298044Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:08:34.0298421Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:08:34.0299168Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:08:34.0300099Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:08:34.0300358Z the learning rate is not adjusted. 2025-12-04T09:08:34.0300581Z Default: 10. 2025-12-04T09:08:34.0301066Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:08:34.0301472Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:08:34.0301877Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:08:34.0302223Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:08:34.0302521Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:08:34.0302880Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:08:34.0303273Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:08:34.0303679Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:08:34.0304074Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:08:34.0304433Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:08:34.0304812Z lower bound on the learning rate of all param groups 2025-12-04T09:08:34.0305100Z or each group respectively. Default: 0. 2025-12-04T09:08:34.0305483Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:08:34.0305897Z between new and old lr is smaller than eps, the update is 2025-12-04T09:08:34.0306122Z ignored. Default: 1e-8. 2025-12-04T09:08:34.0306291Z 2025-12-04T09:08:34.0306502Z Example: 2025-12-04T09:08:34.0306712Z >>> # xdoctest: +SKIP 2025-12-04T09:08:34.0307242Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:08:34.0307591Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:08:34.0307814Z >>> for epoch in range(10): 2025-12-04T09:08:34.0308032Z >>> train(...) 2025-12-04T09:08:34.0308260Z >>> val_loss = validate(...) 2025-12-04T09:08:34.0308586Z >>> # Note that step should be called after validate() 2025-12-04T09:08:34.0308853Z >>> scheduler.step(val_loss) 2025-12-04T09:08:34.0309023Z 2025-12-04T09:08:34.0309520Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:08:34.0309731Z 2025-12-04T09:08:34.0310703Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:08:34.0310898Z 2025-12-04T09:08:34.0311126Z scheduler.step(val_loss) 2025-12-04T09:08:34.0311299Z ^ 2025-12-04T09:08:34.0311526Z warnings.warn(msg) 2025-12-04T09:08:34.0311701Z 2025-12-04T09:08:34.0311966Z  2025-12-04T09:08:34.0312372Z === Found 10 run-time warnings === 2025-12-04T09:08:34.0312769Z --- Runtime Warning: 1 / 10 --- 2025-12-04T09:08:34.0313202Z example = 2025-12-04T09:08:34.0316813Z :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() 2025-12-04T09:08:34.0317021Z 2025-12-04T09:08:34.0317411Z --- Runtime Warning: 2 / 10 --- 2025-12-04T09:08:34.0318016Z example = 2025-12-04T09:08:34.0321394Z /opt/conda/envs/py_3.10/lib/python3.10/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.) 2025-12-04T09:08:34.0321639Z return super().refine_names(names) 2025-12-04T09:08:34.0321884Z 2025-12-04T09:08:34.0322270Z --- Runtime Warning: 3 / 10 --- 2025-12-04T09:08:34.0323029Z example = 2025-12-04T09:08:34.0324564Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py:275: UserWarning: Warning only once for all operators, other operators may also be overridden. 2025-12-04T09:08:34.0325292Z Overriding a previously registered kernel for the same operator and the same dispatch key 2025-12-04T09:08:34.0325745Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2025-12-04T09:08:34.0326450Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2025-12-04T09:08:34.0326663Z dispatch key: CPU 2025-12-04T09:08:34.0327696Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2025-12-04T09:08:34.0330091Z new kernel: registered at :1 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:215.) 2025-12-04T09:08:34.0330467Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2025-12-04T09:08:34.0330650Z 2025-12-04T09:08:34.0331039Z --- Runtime Warning: 4 / 10 --- 2025-12-04T09:08:34.0331598Z example = 2025-12-04T09:08:34.0336096Z /opt/conda/envs/py_3.10/lib/python3.10/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.) 2025-12-04T09:08:34.0336670Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2025-12-04T09:08:34.0336852Z 2025-12-04T09:08:34.0337237Z --- Runtime Warning: 5 / 10 --- 2025-12-04T09:08:34.0337833Z example = 2025-12-04T09:08:34.0341753Z :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.) 2025-12-04T09:08:34.0341942Z 2025-12-04T09:08:34.0342337Z --- Runtime Warning: 6 / 10 --- 2025-12-04T09:08:34.0343047Z example = 2025-12-04T09:08:34.0346758Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-12-04T09:08:34.0347123Z new_node = root_const_gm.graph.get_attr(in_node.target) 2025-12-04T09:08:34.0347314Z 2025-12-04T09:08:34.0347704Z --- Runtime Warning: 7 / 10 --- 2025-12-04T09:08:34.0348364Z example = 2025-12-04T09:08:34.0351101Z /opt/conda/envs/py_3.10/lib/python3.10/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) 2025-12-04T09:08:34.0351419Z self.encoder = TransformerEncoder( 2025-12-04T09:08:34.0351656Z 2025-12-04T09:08:34.0352039Z --- Runtime Warning: 8 / 10 --- 2025-12-04T09:08:34.0352782Z example = 2025-12-04T09:08:34.0355679Z :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) 2025-12-04T09:08:34.0355842Z 2025-12-04T09:08:34.0356234Z --- Runtime Warning: 9 / 10 --- 2025-12-04T09:08:34.0356852Z example = 2025-12-04T09:08:34.0358731Z /opt/conda/envs/py_3.10/lib/python3.10/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`. 2025-12-04T09:08:34.0359005Z WeightNorm.apply(module, name, dim) 2025-12-04T09:08:34.0359167Z 2025-12-04T09:08:34.0359571Z --- Runtime Warning: 10 / 10 --- 2025-12-04T09:08:34.0360256Z example = 2025-12-04T09:08:34.0362125Z /opt/conda/envs/py_3.10/lib/python3.10/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`. 2025-12-04T09:08:34.0362394Z WeightNorm.apply(module, name, dim) 2025-12-04T09:08:34.0362562Z 2025-12-04T09:08:34.0363207Z === 378 passed, 516 skipped, 27 warnings in 19.95 seconds === 2025-12-04T09:08:34.0363726Z Finished doctests 1/1 ... [2025-12-04 09:08:33.977937][3453.608892881], took 0.33min 2025-12-04T09:08:34.0364230Z Running test_sort_and_select 1/1 ... [2025-12-04 09:08:33.980288][3453.611251347] 2025-12-04T09:08:34.0364485Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:34.0366394Z Executing ['/opt/conda/envs/py_3.10/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 09:08:33.980663] 2025-12-04T09:10:41.6694155Z 2025-12-04T09:10:41.6695104Z 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_b5e03d3cec8df520_.log 2025-12-04T09:10:41.6737267Z 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 2025-12-04T09:10:41.6776019Z 2025-12-04T09:10:41.6776299Z Finished test_sort_and_select 1/1 ... [2025-12-04 09:10:41.669844][3581.300804035], took 2.13min 2025-12-04T09:10:41.6777350Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-78f84aa3e04aba65.xml 2025-12-04T09:10:42.1648043Z Uploading artifacts took 0.42 seconds 2025-12-04T09:10:42.1652803Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 09:10:42.165064][3581.796025096] 2025-12-04T09:10:42.1653346Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:42.1656890Z Executing ['/opt/conda/envs/py_3.10/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 09:10:42.165470] 2025-12-04T09:10:47.2368108Z 2025-12-04T09:10:47.2369249Z 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_ff848c8599664fcf_.log 2025-12-04T09:10:47.2372290Z 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 2025-12-04T09:10:47.2373280Z 2025-12-04T09:10:47.2373656Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 09:10:47.236625][3586.867588268], took 0.08min 2025-12-04T09:10:47.2390505Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-968634f7da58af49.xml 2025-12-04T09:10:47.2775928Z Running test_cpp_api_parity 1/1 ... [2025-12-04 09:10:47.277287][3586.908248075] 2025-12-04T09:10:47.2776446Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:47.2778690Z Executing ['/opt/conda/envs/py_3.10/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 09:10:47.277646] 2025-12-04T09:15:26.7906256Z 2025-12-04T09:15:26.7907146Z 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_26c9b747cf91129e_.log 2025-12-04T09:15:26.8106217Z 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, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index_neg_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_PoissonNLLLoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_PoissonNLLLoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_beta, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_beta_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_no_reduce_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_no_reduce_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_zero_beta, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_zero_beta_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SoftMarginLoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SoftMarginLoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special_cuda 2025-12-04T09:15:26.8297653Z 2025-12-04T09:15:26.8297959Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 09:15:26.791292][3866.42224895], took 4.66min 2025-12-04T09:15:26.8299071Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-abf4ca043065cbf6.xml 2025-12-04T09:15:26.8782198Z Running test_extension_utils 1/1 ... [2025-12-04 09:15:26.877887][3866.508846658] 2025-12-04T09:15:26.8782693Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:26.8785953Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_extension_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:15:26.878366] 2025-12-04T09:15:31.9031961Z 2025-12-04T09:15:31.9033155Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_415f1f2560fa91ea_.log 2025-12-04T09:15:31.9034686Z Running 2 items in this shard: test/test_extension_utils.py::TestExtensionUtils::test_external_module_register, test/test_extension_utils.py::TestExtensionUtils::test_external_module_register_with_renamed_backend 2025-12-04T09:15:31.9035638Z 2025-12-04T09:15:31.9035934Z Finished test_extension_utils 1/1 ... [2025-12-04 09:15:31.902988][3871.53394898], took 0.08min 2025-12-04T09:15:31.9054959Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_extension_utils/test_extension_utils-02441b5ad58e9d42.xml 2025-12-04T09:15:31.9378125Z Running test_show_pickle 1/1 ... [2025-12-04 09:15:31.937609][3871.568571193] 2025-12-04T09:15:31.9378774Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:31.9381788Z Executing ['/opt/conda/envs/py_3.10/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 09:15:31.937921] 2025-12-04T09:15:36.9625761Z 2025-12-04T09:15:36.9626609Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_96f433eec3e8292e_.log 2025-12-04T09:15:36.9627604Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model 2025-12-04T09:15:36.9628033Z 2025-12-04T09:15:36.9628289Z Finished test_show_pickle 1/1 ... [2025-12-04 09:15:36.962427][3876.593388562], took 0.08min 2025-12-04T09:15:36.9650246Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_show_pickle/test_show_pickle-67f9af1345997bca.xml 2025-12-04T09:15:36.9993611Z Running test_tensorexpr 1/1 ... [2025-12-04 09:15:36.999172][3876.630134881] 2025-12-04T09:15:36.9994088Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:36.9997237Z Executing ['/opt/conda/envs/py_3.10/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 09:15:36.999487] 2025-12-04T09:15:40.0180210Z 2025-12-04T09:15:40.0181435Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_30de73b4d6666aea_.log 2025-12-04T09:15:40.0202587Z 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 2025-12-04T09:15:40.0223041Z 2025-12-04T09:15:40.0223305Z Finished test_tensorexpr 1/1 ... [2025-12-04 09:15:40.017935][3879.648896642], took 0.05min 2025-12-04T09:15:40.0224343Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-7ff03b458fa7ac6c.xml 2025-12-04T09:15:40.0536466Z Running test_namedtuple_return_api 1/1 ... [2025-12-04 09:15:40.053450][3879.684413056] 2025-12-04T09:15:40.0536965Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:40.0540101Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_namedtuple_return_api.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:15:40.053784] 2025-12-04T09:15:47.4285184Z 2025-12-04T09:15:47.4286470Z test_namedtuple_return_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtuple_return_api_1.1_b453a7d011bc377e_.log 2025-12-04T09:15:47.4288930Z Running 3 items in this shard: test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_import_return_types, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_namedtuple_return, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_native_functions_yaml 2025-12-04T09:15:47.4290148Z 2025-12-04T09:15:47.4290698Z Finished test_namedtuple_return_api 1/1 ... [2025-12-04 09:15:47.428354][3887.059313245], took 0.12min 2025-12-04T09:15:47.4316290Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-e397e2da46853aad.xml 2025-12-04T09:15:47.5078139Z Running test_fake_tensor 1/1 ... [2025-12-04 09:15:47.507460][3887.138421116] 2025-12-04T09:15:47.5078689Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:47.5080989Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fake_tensor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:15:47.507854] 2025-12-04T09:16:27.8375433Z 2025-12-04T09:16:27.8376557Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_6fe806b68d185c2a_.log 2025-12-04T09:16:27.8500829Z Running 299 items in this shard: test/test_fake_tensor.py::FakeTensorTest::test__adaptive_avg_pool2d_backward, test/test_fake_tensor.py::FakeTensorTest::test_alias_call, test/test_fake_tensor.py::FakeTensorTest::test_allow_meta, test/test_fake_tensor.py::FakeTensorTest::test_aten_copy_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_index_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_slice_scatter_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_basic, test/test_fake_tensor.py::FakeTensorTest::test_batch_tensor, test/test_fake_tensor.py::FakeTensorTest::test_binary_op_type_promotion, test/test_fake_tensor.py::FakeTensorTest::test_constructor, test/test_fake_tensor.py::FakeTensorTest::test_conv_nhwc, test/test_fake_tensor.py::FakeTensorTest::test_convert_fake_to_real, test/test_fake_tensor.py::FakeTensorTest::test_cpu_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cuda_initialized, test/test_fake_tensor.py::FakeTensorTest::test_cuda_lstm, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_with_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_without_fallback, test/test_fake_tensor.py::FakeTensorTest::test_custom_op_fallback, test/test_fake_tensor.py::FakeTensorTest::test_data_dependent_operator, test/test_fake_tensor.py::FakeTensorTest::test_deepcopy, test/test_fake_tensor.py::FakeTensorTest::test_device_inplace_copy, test/test_fake_tensor.py::FakeTensorTest::test_embedding_bag_meta, test/test_fake_tensor.py::FakeTensorTest::test_export_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fake_device, test/test_fake_tensor.py::FakeTensorTest::test_fake_dispatch_keys, test/test_fake_tensor.py::FakeTensorTest::test_fake_grad_copy, test/test_fake_tensor.py::FakeTensorTest::test_fake_mode_error, test/test_fake_tensor.py::FakeTensorTest::test_fast_div, test/test_fake_tensor.py::FakeTensorTest::test_fast_div_int_to_float, test/test_fake_tensor.py::FakeTensorTest::test_from_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fsdp_flat_param, test/test_fake_tensor.py::FakeTensorTest::test_full, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex128, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int16, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int8, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_uint8, test/test_fake_tensor.py::FakeTensorTest::test_index_put_error, test/test_fake_tensor.py::FakeTensorTest::test_jagged_fake_to_fake_preserved, test/test_fake_tensor.py::FakeTensorTest::test_like_constructor, test/test_fake_tensor.py::FakeTensorTest::test_mixed_real_and_fake_inputs, test/test_fake_tensor.py::FakeTensorTest::test_mode, test/test_fake_tensor.py::FakeTensorTest::test_nan_to_num, test/test_fake_tensor.py::FakeTensorTest::test_nanmean_out, test/test_fake_tensor.py::FakeTensorTest::test_new, test/test_fake_tensor.py::FakeTensorTest::test_no_tag_func, test/test_fake_tensor.py::FakeTensorTest::test_non_kwarg_device, test/test_fake_tensor.py::FakeTensorTest::test_non_overlapping_stride_zero, test/test_fake_tensor.py::FakeTensorTest::test_non_parameter_grad, test/test_fake_tensor.py::FakeTensorTest::test_normalize_device, test/test_fake_tensor.py::FakeTensorTest::test_op_with_zero_dim_bypassed, test/test_fake_tensor.py::FakeTensorTest::test_out_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_parameter_instantiation, test/test_fake_tensor.py::FakeTensorTest::test_parameter_view, test/test_fake_tensor.py::FakeTensorTest::test_print_in_fake_mode, test/test_fake_tensor.py::FakeTensorTest::test_randperm, test/test_fake_tensor.py::FakeTensorTest::test_recursive_invocation, test/test_fake_tensor.py::FakeTensorTest::test_repr, test/test_fake_tensor.py::FakeTensorTest::test_same_shape_env_preserved, test/test_fake_tensor.py::FakeTensorTest::test_scalar_inputs, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_False, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_True, test/test_fake_tensor.py::FakeTensorTest::test_setitem, test/test_fake_tensor.py::FakeTensorTest::test_shape_take_not_device, test/test_fake_tensor.py::FakeTensorTest::test_split_return_self, test/test_fake_tensor.py::FakeTensorTest::test_throw, test/test_fake_tensor.py::FakeTensorTest::test_tolist, test/test_fake_tensor.py::FakeTensorTest::test_type_as, test/test_fake_tensor.py::FakeTensorTest::test_unbind_copy_out, test/test_fake_tensor.py::FakeTensorTest::test_unsqueeze_copy, test/test_fake_tensor.py::FakeTensorTest::test_upsample_bilinear_small_channels, test/test_fake_tensor.py::FakeTensorTest::test_zero_dim, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test__adaptive_avg_pool2d_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_alias_call_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_allow_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_copy_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_index_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_slice_scatter_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_basic_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_batch_tensor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_binary_op_type_promotion_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_conv_nhwc_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_convert_fake_to_real_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cpu_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_initialized_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_lstm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_with_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_without_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_custom_op_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_data_dependent_operator_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_deepcopy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_device_inplace_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_embedding_bag_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_export_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_dispatch_keys_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_grad_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fast_div_int_to_float_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fast_div_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_from_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fsdp_flat_param_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_full_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex128_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int16_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_uint8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_put_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_jagged_fake_to_fake_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_like_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mixed_real_and_fake_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nanmean_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_no_tag_func_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_overlapping_stride_zero_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_parameter_grad_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_normalize_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_op_with_zero_dim_bypassed_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_out_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_instantiation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_print_in_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_randperm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_recursive_invocation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_repr_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_same_shape_env_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scalar_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_False_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_True_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_setitem_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_shape_take_not_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_split_return_self_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_throw_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_tolist_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_type_as_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unbind_copy_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unsqueeze_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_upsample_bilinear_small_channels_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_zero_dim_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorConstHandling::test_aliased_const_write, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_propagate_through_functions, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_batch_norm_cpu, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_in_intlist_repro, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_add, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_view_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storage_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storages, test/test_fake_tensor.py::FakeTensorConstHandling::test_simple, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_aliased_const_write_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_propagate_through_functions_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_batch_norm_cpu_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_in_intlist_repro_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_add_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_view_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storage_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storages_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_simple_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_key, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_weak_ref, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_from_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_to_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_multiple_modes, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_active_mode, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_ref_cycle, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_mode_error, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_non_view, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_view, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_key_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_weak_ref_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_from_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_to_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_multiple_modes_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_active_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_ref_cycle_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_non_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_view_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_conv_c1_backward, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_cross_entropy_loss, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_embedding_bag_private, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_fake_gpu_no_init, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_flash_attention, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_like_ops, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_move_meta_tensor, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_move_module_under_fake, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_no_dispatch_with_like_function, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_non_kwarg_only_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_sparse_new, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_str_storage, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_new, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_conv_c1_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_cross_entropy_loss_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_embedding_bag_private_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_fake_gpu_no_init_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_flash_attention_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_like_ops_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_module_to_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_move_meta_tensor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_move_module_under_fake_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_no_dispatch_with_like_function_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_non_kwarg_only_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_sparse_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_str_storage_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_new_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args, test/test_fake_tensor.py::FakeTensorPropTest::test_nan_to_num, test/test_fake_tensor.py::FakeTensorPropTest::test_nonzero_stride, test/test_fake_tensor.py::FakeTensorPropTest::test_torch_load_with_fake_mode, test/test_fake_tensor.py::FakeTensorPropTest::test_unbacked_shape_realloc, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nonzero_stride_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_torch_load_with_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_unbacked_shape_realloc_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization_with_tracing, test/test_fake_tensor.py::FakeTensorDispatchCache::test__upsample_bilinear2d_aa_backward_dynamic_shapes, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_aten_index, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_bypass, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_dispatch_key_set, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_hit, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_inplace_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_constants, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_conj, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_inference, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_neg, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_memory_format, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_requires_grad, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_shape, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_storage_offset, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_stride, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_tuple_outputs, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_view_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_empty_list, test/test_fake_tensor.py::FakeTensorDispatchCache::test_fft_hfft2_issue145522, test/test_fake_tensor.py::FakeTensorDispatchCache::test_from_buffer, test/test_fake_tensor.py::FakeTensorDispatchCache::test_inference_mode, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph_cacheable_inplace, test/test_fake_tensor.py::FakeTensorDispatchCache::test_meta_tensor_to_fake_cpu, test/test_fake_tensor.py::FakeTensorDispatchCache::test_shape_env_settings, test/test_fake_tensor.py::FakeTensorDispatchCache::test_unbacked_output, test/test_fake_tensor.py::FakeTensorDispatchCache::test_wrapper_tensor_subclass_different_device, test/test_fake_tensor.py::FakeTensorPreferDeviceType::test_fake_tensor_prefer_device_type, test/test_fake_tensor.py::FakeTensorPreferDeviceType::test_fake_tensor_prefer_device_type_cpu_only 2025-12-04T09:16:27.8621299Z 2025-12-04T09:16:27.8621566Z Finished test_fake_tensor 1/1 ... [2025-12-04 09:16:27.837989][3927.46894481], took 0.67min 2025-12-04T09:16:27.8622556Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-c711383862ac215d.xml 2025-12-04T09:16:27.9207684Z Running test_multiprocessing 1/1 ... [2025-12-04 09:16:27.920528][3927.551489961] 2025-12-04T09:16:27.9208160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:16:27.9211183Z Executing ['/opt/conda/envs/py_3.10/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 09:16:27.920865] 2025-12-04T09:17:46.7085688Z 2025-12-04T09:17:46.7086791Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_c5265b29a54b5789_.log 2025-12-04T09:17:46.7102091Z Running 42 items in this shard: test/test_multiprocessing.py::TestMultiprocessing::test_autograd_errors, test/test_multiprocessing.py::TestMultiprocessing::test_autograd_fine_with_spawn, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_bad_call, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_ipc_deadlock, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_memory_allocation, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_send_many, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_simple, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_small_tensors, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_shared, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_event, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_exporter, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_importer, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_multi_gpu, test/test_multiprocessing.py::TestMultiprocessing::test_event_multiprocess, test/test_multiprocessing.py::TestMultiprocessing::test_fd_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fd_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fd_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs, test/test_multiprocessing.py::TestMultiprocessing::test_fs_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_fs_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fs_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_inherit_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cpu, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_mixed_types_cuda_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_non_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_rebuild_cuda_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_set_thread_name, test/test_multiprocessing.py::TestMultiprocessing::test_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_wrong_cuda_fork 2025-12-04T09:17:46.7116490Z 2025-12-04T09:17:46.7116797Z Finished test_multiprocessing 1/1 ... [2025-12-04 09:17:46.708525][4006.33948555], took 1.31min 2025-12-04T09:17:46.7121411Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-5deb4d89da4193c7.xml 2025-12-04T09:17:46.7808344Z Running test_autograd_fallback 1/1 ... [2025-12-04 09:17:46.780538][4006.411501069] 2025-12-04T09:17:46.7808858Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:46.7810929Z Executing ['/opt/conda/envs/py_3.10/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 09:17:46.780862] 2025-12-04T09:17:58.4642832Z 2025-12-04T09:17:58.4643940Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_98a67e67178c43cb_.log 2025-12-04T09:17:58.4657853Z 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 2025-12-04T09:17:58.4671117Z 2025-12-04T09:17:58.4671425Z Finished test_autograd_fallback 1/1 ... [2025-12-04 09:17:58.463979][4018.09493875], took 0.19min 2025-12-04T09:17:58.4675213Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-3d26910c76190313.xml 2025-12-04T09:17:58.5449486Z Running test_autocast 1/1 ... [2025-12-04 09:17:58.544691][4018.175652725] 2025-12-04T09:17:58.5449961Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:58.5453103Z Executing ['/opt/conda/envs/py_3.10/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 09:17:58.545077] 2025-12-04T09:18:10.8265555Z 2025-12-04T09:18:10.8266707Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_8cbdb1aa033e2338_.log 2025-12-04T09:18:10.8273256Z 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 2025-12-04T09:18:10.8279449Z 2025-12-04T09:18:10.8279698Z Finished test_autocast 1/1 ... [2025-12-04 09:18:10.826407][4030.457368725], took 0.20min 2025-12-04T09:18:10.8300024Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-f8ca196b8a2d488d.xml 2025-12-04T09:18:10.9118823Z Running test_jit_disabled 1/1 ... [2025-12-04 09:18:10.911555][4030.542515552] 2025-12-04T09:18:10.9119484Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:10.9121961Z Executing ['/opt/conda/envs/py_3.10/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 09:18:10.911923] 2025-12-04T09:18:15.8332965Z 2025-12-04T09:18:15.8333861Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_53b757a2d4477762_.log 2025-12-04T09:18:15.8335550Z 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 2025-12-04T09:18:15.8336687Z 2025-12-04T09:18:15.8336979Z Finished test_jit_disabled 1/1 ... [2025-12-04 09:18:15.833056][4035.464018686], took 0.08min 2025-12-04T09:18:15.8367269Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-e66955ed9886fa81.xml 2025-12-04T09:18:15.8667562Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:18:15.866508][4035.497469982] 2025-12-04T09:18:15.8668118Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:15.8671271Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_mtia_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:18:15.866859] 2025-12-04T09:18:22.0901523Z 2025-12-04T09:18:22.0902539Z test_cpp_extensions_mtia_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_mtia_backend_1.1_e2406449f833bcb3_.log 2025-12-04T09:18:22.0905468Z Running 5 items in this shard: test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_device_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_get_device_module, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_basic, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context_different_device 2025-12-04T09:18:22.0907744Z 2025-12-04T09:18:22.0908077Z Finished test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:18:22.089869][4041.720831005], took 0.10min 2025-12-04T09:18:22.0936521Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-acf1d2453adee99a.xml 2025-12-04T09:18:22.1928163Z Running functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:18:22.192504][4041.823465726] 2025-12-04T09:18:22.1928757Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:22.1931532Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_memory_efficient_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:18:22.192888] 2025-12-04T09:18:33.1728229Z 2025-12-04T09:18:33.1729385Z functorch/test_memory_efficient_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_memory_efficient_fusion_1.1_2c7abd342d63d169_.log 2025-12-04T09:18:33.1739488Z Running 22 items in this shard: test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_gelu_bias, test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_hard_sigmoid, test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_hard_swish, test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_layer_norm, test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_mish, test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_rmsnorm, test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_swish, test/functorch/test_memory_efficient_fusion.py::NoChangeTestCase::test_empty, test/functorch/test_memory_efficient_fusion.py::NoChangeTestCase::test_hash_with_numbers, test/functorch/test_memory_efficient_fusion.py::NoChangeTestCase::test_nochange, test/functorch/test_memory_efficient_fusion.py::NoChangeTestCase::test_rand_like, test/functorch/test_memory_efficient_fusion.py::NoChangeTestCase::test_rand_n, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_immutable_list_multiple_entries, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_immutable_list_type, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_kwarg, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_nested_immutable_list_type, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_simple, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_simple_2, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_simple_multiple_same_ops, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_two_args, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_two_args_default, test/functorch/test_memory_efficient_fusion.py::RandomOpTestCase::test_random 2025-12-04T09:18:33.1748398Z 2025-12-04T09:18:33.1748768Z Finished functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:18:33.172684][4052.803644235], took 0.18min 2025-12-04T09:18:33.1765461Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-0e383c7039153c62.xml 2025-12-04T09:18:33.2555326Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:18:33.255283][4052.886244618] 2025-12-04T09:18:33.2555878Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:33.2559270Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_stream_and_event.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:18:33.255644] 2025-12-04T09:18:39.0782554Z 2025-12-04T09:18:39.0783749Z test_cpp_extensions_stream_and_event 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_stream_and_event_1.1_51a02bab50374d20_.log 2025-12-04T09:18:39.0785032Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event 2025-12-04T09:18:39.0785599Z 2025-12-04T09:18:39.0785973Z Finished test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:18:39.078051][4058.709012895], took 0.10min 2025-12-04T09:18:39.0820359Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_stream_and_event/test_cpp_extensions_stream_and_event-e9597949d39bd263.xml 2025-12-04T09:18:39.1222825Z Running test_dispatch 1/1 ... [2025-12-04 09:18:39.122058][4058.753020229] 2025-12-04T09:18:39.1223325Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:39.1226405Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:18:39.122391] 2025-12-04T09:19:54.1387272Z 2025-12-04T09:19:54.1388171Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_68017da17e79421f_.log 2025-12-04T09:19:54.1400565Z Running 32 items in this shard: test/test_dispatch.py::TestDispatch::test_all_invariants, test/test_dispatch.py::TestDispatch::test_computed_table, test/test_dispatch.py::TestDispatch::test_computed_table_with_ambiguous_autogradother, test/test_dispatch.py::TestDispatch::test_computed_table_with_autograd, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math_autogradcpu_fallthrough, test/test_dispatch.py::TestDispatch::test_computed_table_with_math, test/test_dispatch.py::TestDispatch::test_def, test/test_dispatch.py::TestDispatch::test_def_impl_schema_mismatch, test/test_dispatch.py::TestDispatch::test_def_only, test/test_dispatch.py::TestDispatch::test_def_with_explicit_alias, test/test_dispatch.py::TestDispatch::test_def_with_inference, test/test_dispatch.py::TestDispatch::test_dispatch_print_registrations_for_dispatch_key_invalid, test/test_dispatch.py::TestDispatch::test_find_dangling_impls, test/test_dispatch.py::TestDispatch::test_find_dangling_impls_ext, test/test_dispatch.py::TestDispatch::test_impl_only, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_defaulting, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_mismatch, test/test_dispatch.py::TestDispatch::test_multiple_def_error, test/test_dispatch.py::TestDispatch::test_multiple_fallback, test/test_dispatch.py::TestDispatch::test_overwrite_math, test/test_dispatch.py::TestPythonDispatcher::test_autogradother, test/test_dispatch.py::TestPythonDispatcher::test_basic, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_math, test/test_dispatch.py::TestPythonDispatcher::test_duplicate_registrations, test/test_dispatch.py::TestPythonDispatcher::test_math_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_quantized_structured_not_implemented 2025-12-04T09:19:54.1411325Z 2025-12-04T09:19:54.1411637Z Finished test_dispatch 1/1 ... [2025-12-04 09:19:54.138826][4133.769785165], took 1.25min 2025-12-04T09:19:54.1430626Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dispatch/test_dispatch-aad210e70e75b6ee.xml 2025-12-04T09:19:54.2196320Z Running nn/test_convolution 1/1 ... [2025-12-04 09:19:54.219276][4133.850234673] 2025-12-04T09:19:54.2196831Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:54.2199129Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:19:54.219682] 2025-12-04T09:28:51.6445666Z 2025-12-04T09:28:51.6446620Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_28d5e69cfa09e72d_.log 2025-12-04T09:28:51.6806433Z Running 604 items in this shard: test/nn/test_convolution.py::TestConvolutionNN::test_Conv1d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_1x1, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_OneDNN, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_backward_twice, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias_v2, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_with_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_without_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_missing_argument, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_wbias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_half_cublas_gemm, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size_downsample_upsample, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose3d_correct_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv1d_issue_120547, test/nn/test_convolution.py::TestConvolutionNN::test_conv2d_discontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_conv3d_issue_120406, test/nn/test_convolution.py::TestConvolutionNN::test_conv3d_overflow_values, test/nn/test_convolution.py::TestConvolutionNN::test_conv_aten_invalid_groups, test/nn/test_convolution.py::TestConvolutionNN::test_conv_backcompat, test/nn/test_convolution.py::TestConvolutionNN::test_conv_cudnn_memory_layout_dominance, test/nn/test_convolution.py::TestConvolutionNN::test_conv_invalid_groups, test/nn/test_convolution.py::TestConvolutionNN::test_conv_modules_raise_error_on_incorrect_input_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv_padding_mode, test/nn/test_convolution.py::TestConvolutionNN::test_conv_shapecheck, test/nn/test_convolution.py::TestConvolutionNN::test_conv_tbc, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_non_contiguous, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_noncontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_not_mutate_stride, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grouped_conv_cudnn_nhwc_support, test/nn/test_convolution.py::TestConvolutionNN::test_huge_padding, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv1d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv3d, test/nn/test_convolution.py::TestConvolutionNN::test_mismatch_shape_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_nnpack_conv, test/nn/test_convolution.py::TestConvolutionNN::test_permute_conv2d_issue_120211, test/nn/test_convolution.py::TestConvolutionNN::test_thnn_conv_strided_padded_dilated, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float64, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel3d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel3d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel3d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel3d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel3d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel3d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel3d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_True_strided_False_contiguous_True_cpu, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_contiguous_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_mismatch_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_ndhwc_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_ndhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_groups_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_no_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_stride_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_strided_with_3D_input_and_weight_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_ic1_channels_last_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_batch_1_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_nosplit_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_and_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose2d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose3d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transposed_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv2d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv3d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_depthwise_conv_64bit_indexing_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_convTranspose_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_conv_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float64 2025-12-04T09:28:51.7152859Z 2025-12-04T09:28:51.7153155Z Finished nn/test_convolution 1/1 ... [2025-12-04 09:28:51.646545][4671.277503284], took 8.96min 2025-12-04T09:28:51.7154203Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-bbb5ce08e977f37e.xml 2025-12-04T09:28:51.7516592Z Running test_cpp_extensions_jit 1/1 ... [2025-12-04 09:28:51.751419][4671.382381438] 2025-12-04T09:28:51.7517224Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:51.7520341Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_jit.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:28:51.751766] 2025-12-04T09:29:35.3783898Z 2025-12-04T09:29:35.3785422Z test_cpp_extensions_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_jit_1.1_38b73c5642da3aa3_.log 2025-12-04T09:29:35.3801559Z Running 35 items in this shard: test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_aoti_torch_call_dispatcher, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_autograd_from_cpp, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_compilation_error_formatting, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_same_output_as_python, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_up_to_date_attributes, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op_with_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_non_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_pluggable_allocator_include, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_compound_op_autograd, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_functorch_error, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_gen_extension_h_pch, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_half_support, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_custom_op_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_multiple_sources_and_no_functions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_throws_when_functions_is_bad, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_dict, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_list, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_xpu, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_compile_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_archflags, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cudnn_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_archlists, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_lenient_flag_handling_in_jit_extensions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_load_with_non_platform_default_encoding, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_mps_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_pch_command_injection, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_reload_jit_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_returns_shared_library_path_when_is_python_module_is_true, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_set_default_type_also_changes_aten_default_type, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_warning 2025-12-04T09:29:35.3815413Z 2025-12-04T09:29:35.3815733Z Finished test_cpp_extensions_jit 1/1 ... [2025-12-04 09:29:35.378338][4715.009297492], took 0.73min 2025-12-04T09:29:35.3835108Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-cddd719f947e2190.xml 2025-12-04T09:29:35.4673022Z Running test_cuda_trace 1/1 ... [2025-12-04 09:29:35.467056][4715.09801896] 2025-12-04T09:29:35.4673499Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:35.4676240Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_trace.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:29:35.467396] 2025-12-04T09:29:38.3013695Z 2025-12-04T09:29:38.3014554Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_6585ac6e4a43f4c5_.log 2025-12-04T09:29:38.3015290Z Running 0 items in this shard: 2025-12-04T09:29:38.3015481Z 2025-12-04T09:29:38.3015756Z Finished test_cuda_trace 1/1 ... [2025-12-04 09:29:38.301042][4717.932004417], took 0.05min 2025-12-04T09:29:38.3057750Z Running test_native_mha 1/1 ... [2025-12-04 09:29:38.305590][4717.936554124] 2025-12-04T09:29:38.3058216Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:38.3061617Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_native_mha.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:29:38.305955] 2025-12-04T09:30:16.7267601Z 2025-12-04T09:30:16.7270183Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_f3f151f473ac02b8_.log 2025-12-04T09:30:16.7292957Z Running 28 items in this shard: test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_encoder_decoder_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_nested_cpu_float32 2025-12-04T09:30:16.7314891Z 2025-12-04T09:30:16.7315147Z Finished test_native_mha 1/1 ... [2025-12-04 09:30:16.726583][4756.3575434], took 0.64min 2025-12-04T09:30:16.7316137Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_mha/test_native_mha-5310fb0275892e52.xml 2025-12-04T09:30:16.8065998Z Running test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:30:16.806360][4756.437322069] 2025-12-04T09:30:16.8066510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:16.8069610Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:30:16.806708] 2025-12-04T09:30:19.6761793Z 2025-12-04T09:30:19.6762755Z test_cuda_nvml_based_avail 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_nvml_based_avail_1.1_a472b521d62b2b5f_.log 2025-12-04T09:30:19.6763665Z Running 0 items in this shard: 2025-12-04T09:30:19.6763860Z 2025-12-04T09:30:19.6764158Z Finished test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:30:19.675994][4759.306957264], took 0.05min 2025-12-04T09:30:19.6809665Z Running test_mobile_optimizer 1/1 ... [2025-12-04 09:30:19.680779][4759.311742777] 2025-12-04T09:30:19.6810161Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:19.6813301Z Executing ['/opt/conda/envs/py_3.10/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 09:30:19.681118] 2025-12-04T09:30:34.5685731Z 2025-12-04T09:30:34.5686805Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_fef09ca4f989d6e8_.log 2025-12-04T09:30:34.5689896Z 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 2025-12-04T09:30:34.5692532Z 2025-12-04T09:30:34.5692836Z Finished test_mobile_optimizer 1/1 ... [2025-12-04 09:30:34.568331][4774.199292642], took 0.25min 2025-12-04T09:30:34.5732090Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-9a840b9265f8aee6.xml 2025-12-04T09:30:34.6592824Z Running test_cuda_primary_ctx 1/1 ... [2025-12-04 09:30:34.658927][4774.289886204] 2025-12-04T09:30:34.6593402Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:34.6596211Z Executing ['/opt/conda/envs/py_3.10/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 09:30:34.659386] 2025-12-04T09:30:37.8261526Z 2025-12-04T09:30:37.8262683Z 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_dd4ff7645f884a82_.log 2025-12-04T09:30:37.8263506Z Running 0 items in this shard: 2025-12-04T09:30:37.8263699Z 2025-12-04T09:30:37.8264062Z Finished test_cuda_primary_ctx 1/1 ... [2025-12-04 09:30:37.825972][4777.456932576], took 0.05min 2025-12-04T09:30:37.8310320Z Running distributions/test_distributions 1/2 ... [2025-12-04 09:30:37.830838][4777.461802493] 2025-12-04T09:30:37.8310885Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:37.8313935Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'distributions/test_distributions.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 09:30:37.831178] 2025-12-04T09:37:56.3088257Z 2025-12-04T09:37:56.3089753Z distributions/test_distributions 1/2 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.2_39731ec48802b07c_.log 2025-12-04T09:37:56.3144086Z Running 130 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_argmax_relaxed_categorical, test/distributions/test_distributions.py::TestDistributions::test_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_beta_log_prob, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow, test/distributions/test_distributions.py::TestDistributions::test_binomial, test/distributions/test_distributions.py::TestDistributions::test_binomial_half, 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_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_cauchy, test/distributions/test_distributions.py::TestDistributions::test_cdf_icdf_inverse, test/distributions/test_distributions.py::TestDistributions::test_cdf_log_prob, test/distributions/test_distributions.py::TestDistributions::test_chi2_shape, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_distribution_expand, test/distributions/test_distributions.py::TestDistributions::test_enumerate_support_type, test/distributions/test_distributions.py::TestDistributions::test_exponential, test/distributions/test_distributions.py::TestDistributions::test_exponential_sample, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor, test/distributions/test_distributions.py::TestDistributions::test_gamma_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_shape, test/distributions/test_distributions.py::TestDistributions::test_geometric, test/distributions/test_distributions.py::TestDistributions::test_geometric_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_geometric_sample, test/distributions/test_distributions.py::TestDistributions::test_gumbel_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_independent_shape, test/distributions/test_distributions.py::TestDistributions::test_invalid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_inversegamma, test/distributions/test_distributions.py::TestDistributions::test_inversegamma_sample, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_mean_variance, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_shape, test/distributions/test_distributions.py::TestDistributions::test_lkj_cholesky_log_prob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lognormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_lognormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_multinomial_2d, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial, test/distributions/test_distributions.py::TestDistributions::test_normal, test/distributions/test_distributions.py::TestDistributions::test_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_pareto, test/distributions/test_distributions.py::TestDistributions::test_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_forward_ad, test/distributions/test_distributions.py::TestDistributions::test_poisson_log_prob, test/distributions/test_distributions.py::TestDistributions::test_repr, test/distributions/test_distributions.py::TestDistributions::test_rounded_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_studentT, test/distributions/test_distributions.py::TestDistributions::test_studentT_log_prob, test/distributions/test_distributions.py::TestDistributions::test_studentT_sample, test/distributions/test_distributions.py::TestDistributions::test_support_attributes, test/distributions/test_distributions.py::TestDistributions::test_vonmises_logprob, test/distributions/test_distributions.py::TestDistributions::test_vonmises_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_log_prob, test/distributions/test_distributions.py::TestDistributions::test_wishart_moments, test/distributions/test_distributions.py::TestDistributions::test_wishart_properties, test/distributions/test_distributions.py::TestDistributions::test_wishart_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_zero_excluded_binomial, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_alpha, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_beta, test/distributions/test_distributions.py::TestRsample::test_dirichlet_on_diagonal, test/distributions/test_distributions.py::TestRsample::test_dirichlet_tangent_field, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape_vectorized_n, test/distributions/test_distributions.py::TestDistributionShapes::test_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_scalar_param, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_tensor_param, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gumbel_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_multinomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_scalar_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_studentT_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_scalar_params, test/distributions/test_distributions.py::TestKL::test_entropy_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_exponential_family, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched_broadcasted, 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_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob_with_logits, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_logits_initialization, test/distributions/test_distributions.py::TestAgainstScipy::test_icdf, test/distributions/test_distributions.py::TestAgainstScipy::test_mean, test/distributions/test_distributions.py::TestFunctors::test_cat_event_dim, test/distributions/test_distributions.py::TestFunctors::test_stack_transform, test/distributions/test_distributions.py::TestValidation::test_invalid_log_probs_arg, test/distributions/test_distributions.py::TestValidation::test_valid, test/distributions/test_distributions.py::TestValidation::test_warning_unimplemented_constraints, test/distributions/test_distributions.py::TestJit::test_cdf, test/distributions/test_distributions.py::TestJit::test_mean, test/distributions/test_distributions.py::TestJit::test_sample 2025-12-04T09:37:56.3196441Z 2025-12-04T09:37:56.3196797Z Finished distributions/test_distributions 1/2 ... [2025-12-04 09:37:56.308899][5215.939857148], took 7.31min 2025-12-04T09:37:56.3198075Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-97d34356cb890041.xml 2025-12-04T09:37:56.8216597Z Uploading artifacts took 0.43 seconds 2025-12-04T09:37:56.8220556Z Running distributions/test_distributions 2/2 ... [2025-12-04 09:37:56.821845][5216.452805464] 2025-12-04T09:37:56.8221202Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:37:56.8224984Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'distributions/test_distributions.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 09:37:56.822226] 2025-12-04T09:46:26.0357400Z 2025-12-04T09:46:26.0358485Z distributions/test_distributions 2/2 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_2.2_ab0cd81b8353579e_.log 2025-12-04T09:46:26.0400067Z Running 100 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_beta_sample, test/distributions/test_distributions.py::TestDistributions::test_beta_shape, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow_gpu, test/distributions/test_distributions.py::TestDistributions::test_binomial_bfloat16, test/distributions/test_distributions.py::TestDistributions::test_binomial_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_binomial_extreme_vals, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_stable, test/distributions/test_distributions.py::TestDistributions::test_chi2_sample, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob_zero, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_mode, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_sample, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributions::test_distribution_subclass_expand, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_shape, test/distributions/test_distributions.py::TestDistributions::test_gamma_log_prob_at_boundary, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_gumbel, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_laplace, test/distributions/test_distributions.py::TestDistributions::test_laplace_sample, test/distributions/test_distributions.py::TestDistributions::test_lazy_property_grad, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal, test/distributions/test_distributions.py::TestDistributions::test_lognormal, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_sample, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributions::test_mode, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d, test/distributions/test_distributions.py::TestDistributions::test_multinomial_sequential_draw, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_poisson_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_shape, test/distributions/test_distributions.py::TestDistributions::test_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_rsample_requires_grad, test/distributions/test_distributions.py::TestDistributions::test_sample_detached, test/distributions/test_distributions.py::TestDistributions::test_torch_binomial_dtype_errors, test/distributions/test_distributions.py::TestDistributions::test_uniform, test/distributions/test_distributions.py::TestDistributions::test_valid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_wishart_shape, test/distributions/test_distributions.py::TestRsample::test_chi2, test/distributions/test_distributions.py::TestRsample::test_dirichlet_multivariate, test/distributions/test_distributions.py::TestRsample::test_gamma, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_entropy_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_kumaraswamy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_pareto_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_edgecases, test/distributions/test_distributions.py::TestKL::test_kl_infinite, test/distributions/test_distributions.py::TestKL::test_kl_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_shape, test/distributions/test_distributions.py::TestConstraints::test_params_constraints, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob_with_logits, 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_variance_stddev, test/distributions/test_distributions.py::TestFunctors::test_cat_transform, test/distributions/test_distributions.py::TestFunctors::test_cat_transform_non_uniform, test/distributions/test_distributions.py::TestValidation::test_invalid, test/distributions/test_distributions.py::TestJit::test_entropy, test/distributions/test_distributions.py::TestJit::test_enumerate_support, test/distributions/test_distributions.py::TestJit::test_log_prob, test/distributions/test_distributions.py::TestJit::test_rsample, test/distributions/test_distributions.py::TestJit::test_variance 2025-12-04T09:46:26.0441429Z 2025-12-04T09:46:26.0441803Z Finished distributions/test_distributions 2/2 ... [2025-12-04 09:46:26.035580][5725.666540712], took 8.49min 2025-12-04T09:46:26.0443101Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-eeb952604ded4eda.xml 2025-12-04T09:46:26.1417587Z Running test_autoload_disable 1/1 ... [2025-12-04 09:46:26.141513][5725.772474856] 2025-12-04T09:46:26.5334377Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:46:29.3780753Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:46:29.3801749Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:46:38.5774577Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:46:38.6026889Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079586 sha256=5341374107dce7be6fa0e0b88dfa39038f63d6a1b9b298534a4b87a83efe6367 2025-12-04T09:46:38.6028520Z Stored in directory: /tmp/pip-ephem-wheel-cache-6q95d5l4/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:46:38.6047299Z Successfully built torch_test_cpp_extension 2025-12-04T09:46:38.9599103Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:46:39.1198774Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:46:41.4662521Z 2025-12-04T09:46:41.4662944Z Running tests... 2025-12-04T09:46:41.4663312Z ---------------------------------------------------------------------- 2025-12-04T09:46:42.2354762Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py:1933: UserWarning: Dynamo does not know how to trace the builtin `builtins.__build_class__.` This function is either a Python builtin (e.g. _warnings.warn) or a third-party C/C++ Python extension (perhaps created with pybind). 2025-12-04T09:46:42.2356654Z If it is a Python builtin, please file an issue on GitHub so the PyTorch team can add support for it and see the next case for a workaround. 2025-12-04T09:46:42.2358443Z If it is a third-party C/C++ Python extension, please either wrap it into a PyTorch-understood custom operator (see https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html for more details) or, if it is traceable, use `torch.compiler.allow_in_graph`. 2025-12-04T09:46:42.2359800Z torch._dynamo.utils.warn_once(explanation + "\n" + "\n".join(hints)) 2025-12-04T09:46:42.7644999Z W1204 09:46:42.763000 3677 site-packages/torch/_dynamo/convert_frame.py:1668] [5/8] torch._dynamo hit config.recompile_limit (8) 2025-12-04T09:46:42.7646331Z W1204 09:46:42.763000 3677 site-packages/torch/_dynamo/convert_frame.py:1668] [5/8] function: '_numpy_ufunc' (/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/core/typing/npydecl.py:327) 2025-12-04T09:46:42.7647811Z W1204 09:46:42.763000 3677 site-packages/torch/_dynamo/convert_frame.py:1668] [5/8] last reason: 5/7: name == 'negative' # func = getattr(np, name) # numba/core/typing/npydecl.py:328 in _numpy_ufunc 2025-12-04T09:46:42.7649190Z W1204 09:46:42.763000 3677 site-packages/torch/_dynamo/convert_frame.py:1668] [5/8] To log all recompilation reasons, use TORCH_LOGS="recompiles". 2025-12-04T09:46:42.7650540Z W1204 09:46:42.763000 3677 site-packages/torch/_dynamo/convert_frame.py:1668] [5/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/compile/programming_model.recompilation.html 2025-12-04T09:46:43.0125116Z . 2025-12-04T09:46:43.0125564Z ---------------------------------------------------------------------- 2025-12-04T09:46:43.0125967Z Ran 1 test in 1.546s 2025-12-04T09:46:43.0126139Z 2025-12-04T09:46:43.0126241Z OK 2025-12-04T09:46:43.0126345Z 2025-12-04T09:46:43.0126463Z Generating XML reports... 2025-12-04T09:46:43.7352063Z Finished test_autoload_disable 1/1 ... [2025-12-04 09:46:43.734834][5743.365788708], took 0.29min 2025-12-04T09:46:43.7400387Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204094641.xml 2025-12-04T09:46:43.8166219Z Running test_autoload_enable 1/1 ... [2025-12-04 09:46:43.816306][5743.44726701] 2025-12-04T09:46:44.1396884Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:46:46.9683100Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:46:46.9703464Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:46:56.0095629Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:46:56.0349830Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079586 sha256=2b1639c07f594b12008ddd4bb8d1bf206269c92e551cefd4069826416f7b41e4 2025-12-04T09:46:56.0351247Z Stored in directory: /tmp/pip-ephem-wheel-cache-7rlu13c7/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:46:56.0370402Z Successfully built torch_test_cpp_extension 2025-12-04T09:46:56.3888429Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:46:56.5517402Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:46:58.9087610Z 2025-12-04T09:46:58.9088267Z Running tests... 2025-12-04T09:46:58.9088643Z ---------------------------------------------------------------------- 2025-12-04T09:46:59.6832991Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py:1933: UserWarning: Dynamo does not know how to trace the builtin `builtins.__build_class__.` This function is either a Python builtin (e.g. _warnings.warn) or a third-party C/C++ Python extension (perhaps created with pybind). 2025-12-04T09:46:59.6834844Z If it is a Python builtin, please file an issue on GitHub so the PyTorch team can add support for it and see the next case for a workaround. 2025-12-04T09:46:59.6836514Z If it is a third-party C/C++ Python extension, please either wrap it into a PyTorch-understood custom operator (see https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html for more details) or, if it is traceable, use `torch.compiler.allow_in_graph`. 2025-12-04T09:46:59.6837924Z torch._dynamo.utils.warn_once(explanation + "\n" + "\n".join(hints)) 2025-12-04T09:47:00.2526537Z W1204 09:47:00.251000 3790 site-packages/torch/_dynamo/convert_frame.py:1668] [5/8] torch._dynamo hit config.recompile_limit (8) 2025-12-04T09:47:00.2527825Z W1204 09:47:00.251000 3790 site-packages/torch/_dynamo/convert_frame.py:1668] [5/8] function: '_numpy_ufunc' (/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/core/typing/npydecl.py:327) 2025-12-04T09:47:00.2529339Z W1204 09:47:00.251000 3790 site-packages/torch/_dynamo/convert_frame.py:1668] [5/8] last reason: 5/7: name == 'negative' # func = getattr(np, name) # numba/core/typing/npydecl.py:328 in _numpy_ufunc 2025-12-04T09:47:00.2530626Z W1204 09:47:00.251000 3790 site-packages/torch/_dynamo/convert_frame.py:1668] [5/8] To log all recompilation reasons, use TORCH_LOGS="recompiles". 2025-12-04T09:47:00.2531986Z W1204 09:47:00.251000 3790 site-packages/torch/_dynamo/convert_frame.py:1668] [5/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/compile/programming_model.recompilation.html 2025-12-04T09:47:00.5070493Z . 2025-12-04T09:47:00.5070866Z ---------------------------------------------------------------------- 2025-12-04T09:47:00.5071253Z Ran 1 test in 1.598s 2025-12-04T09:47:00.5071420Z 2025-12-04T09:47:00.5071498Z OK 2025-12-04T09:47:00.5071604Z 2025-12-04T09:47:00.5071723Z Generating XML reports... 2025-12-04T09:47:01.1133751Z Finished test_autoload_enable 1/1 ... [2025-12-04 09:47:01.113028][5760.743981146], took 0.29min 2025-12-04T09:47:01.1182460Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204094658.xml 2025-12-04T09:47:01.1802164Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:47:01.179992][5760.810954702] 2025-12-04T09:47:01.5344543Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:47:04.3978493Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:47:04.4000828Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:47:11.3647729Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:47:11.3744335Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=3171501 sha256=0d4958a8e6c5d10e1ab55214eed761d2da8c0c2e62612a782264c86ea6f2ca89 2025-12-04T09:47:11.3746520Z Stored in directory: /tmp/pip-ephem-wheel-cache-5vlp_jed/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:47:11.3765545Z Successfully built torch_test_cpp_extension 2025-12-04T09:47:11.7318501Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:47:11.8045855Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:47:12.1729754Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T09:47:13.7485958Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:47:13.7506891Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T09:47:15.5517954Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:47:15.5525516Z [?25h Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp310-cp310-linux_x86_64.whl size=2938 sha256=542dd3db8814b9e974dc9f9030739f4f7e36cb8b2f61bd169ca017c19d435e1c 2025-12-04T09:47:15.5526911Z Stored in directory: /tmp/pip-ephem-wheel-cache-898rd_9j/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80 2025-12-04T09:47:15.5545495Z Successfully built no_python_abi_suffix_test 2025-12-04T09:47:15.9062453Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T09:47:15.9174862Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T09:47:15.9786706Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:15.9791811Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:47:15.978820] 2025-12-04T09:47:25.6995696Z 2025-12-04T09:47:25.6996951Z test_cpp_extensions_aot_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_ninja_1.1_1dec8c6acaa680f6_.log 2025-12-04T09:47:25.7005972Z Running 21 items in this shard: test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_ninja.py::TestTorchLibrary::test_torch_library 2025-12-04T09:47:25.7014222Z 2025-12-04T09:47:25.7014551Z Finished test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:47:25.699417][5785.330375427], took 0.41min 2025-12-04T09:47:25.7058724Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-56deb0f8cd2a3cd2.xml 2025-12-04T09:47:25.7851079Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:47:25.784865][5785.415827512] 2025-12-04T09:47:26.1026138Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:47:29.0169421Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:47:29.0189678Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:47:38.1572191Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:47:38.1826615Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079586 sha256=b61df1f8d8bd364352f746937bd7bd09c01509b3278a9bf640fb560727c80475 2025-12-04T09:47:38.1828329Z Stored in directory: /tmp/pip-ephem-wheel-cache-w90r76y4/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:47:38.1846394Z Successfully built torch_test_cpp_extension 2025-12-04T09:47:38.5372905Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:47:38.7021576Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:47:39.0862146Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T09:47:40.6866645Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:47:40.6887291Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T09:47:42.4400802Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ done 2025-12-04T09:47:42.4407694Z [?25h Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp310-cp310-linux_x86_64.whl size=2938 sha256=477cb174273f0fe0eabec0767c2e16eae6cf5c714a174f1a2c9bba61ae23002d 2025-12-04T09:47:42.4409225Z Stored in directory: /tmp/pip-ephem-wheel-cache-4ekwa6ez/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80 2025-12-04T09:47:42.4428623Z Successfully built no_python_abi_suffix_test 2025-12-04T09:47:42.7956668Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T09:47:42.8068749Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T09:47:42.8634894Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:42.8638294Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:47:42.863579] 2025-12-04T09:47:52.6709640Z 2025-12-04T09:47:52.6710867Z test_cpp_extensions_aot_no_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_no_ninja_1.1_2cddbb24a86c5688_.log 2025-12-04T09:47:52.6719117Z Running 21 items in this shard: test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_no_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_no_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_no_ninja.py::TestTorchLibrary::test_torch_library 2025-12-04T09:47:52.6726909Z 2025-12-04T09:47:52.6727243Z Finished test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:47:52.670886][5812.301844595], took 0.45min 2025-12-04T09:47:52.6761248Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_no_ninja/test_cpp_extensions_aot_no_ninja-f4601cce78e9c41e.xml 2025-12-04T09:47:52.7517435Z Running dynamo/test_dynamic_shapes 1/1 ... [2025-12-04 09:47:52.751491][5812.382454452] 2025-12-04T09:47:52.7517963Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:52.7521112Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:47:52.751863] 2025-12-04T09:48:01.1075674Z 2025-12-04T09:48:01.1077203Z dynamo/test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dynamic_shapes_1.1_ca5ef1a77b50770c_.log 2025-12-04T09:48:01.1078513Z 2025-12-04T09:48:01.1079042Z Finished dynamo/test_dynamic_shapes 1/1 ... [2025-12-04 09:48:01.107326][5820.738288356], took 0.14min 2025-12-04T09:48:01.1133386Z Running dynamo/test_functions 1/1 ... [2025-12-04 09:48:01.113041][5820.744002508] 2025-12-04T09:48:01.1133903Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:01.1137135Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_functions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:48:01.113485] 2025-12-04T09:48:07.9981750Z 2025-12-04T09:48:07.9982689Z dynamo/test_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_functions_1.1_8a2af91c540e99a5_.log 2025-12-04T09:48:07.9983392Z 2025-12-04T09:48:07.9983686Z Finished dynamo/test_functions 1/1 ... [2025-12-04 09:48:07.997967][5827.628929432], took 0.11min 2025-12-04T09:48:08.0038278Z Running dynamo/test_sets 1/1 ... [2025-12-04 09:48:08.003613][5827.634575578] 2025-12-04T09:48:08.0038743Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:08.0042077Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_sets.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:48:08.003972] 2025-12-04T09:48:10.9809155Z 2025-12-04T09:48:10.9810016Z dynamo/test_sets 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sets_1.1_199c23b9ec2c31c0_.log 2025-12-04T09:48:10.9810649Z 2025-12-04T09:48:10.9810925Z Finished dynamo/test_sets 1/1 ... [2025-12-04 09:48:10.980701][5830.611662626], took 0.05min 2025-12-04T09:48:10.9864764Z Running dynamo/test_after_aot 1/1 ... [2025-12-04 09:48:10.986266][5830.617230071] 2025-12-04T09:48:10.9865231Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:10.9868567Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_after_aot.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:48:10.986627] 2025-12-04T09:48:13.9667981Z 2025-12-04T09:48:13.9668888Z dynamo/test_after_aot 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_after_aot_1.1_195b41a28eedc7da_.log 2025-12-04T09:48:13.9669664Z 2025-12-04T09:48:13.9669951Z Finished dynamo/test_after_aot 1/1 ... [2025-12-04 09:48:13.966575][5833.597537558], took 0.05min 2025-12-04T09:48:13.9724854Z Running dynamo/test_unspec 1/1 ... [2025-12-04 09:48:13.972292][5833.603256211] 2025-12-04T09:48:13.9725333Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:13.9728459Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_unspec.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:48:13.972636] 2025-12-04T09:48:17.2526026Z 2025-12-04T09:48:17.2527781Z dynamo/test_unspec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unspec_1.1_912a3587c1016a6b_.log 2025-12-04T09:48:17.2529146Z 2025-12-04T09:48:17.2529680Z Finished dynamo/test_unspec 1/1 ... [2025-12-04 09:48:17.252352][5836.883314866], took 0.05min 2025-12-04T09:48:17.2583556Z Running dynamo/test_exc 1/1 ... [2025-12-04 09:48:17.258128][5836.889091091] 2025-12-04T09:48:17.2584316Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:17.2588328Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_exc.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:48:17.258537] 2025-12-04T09:48:20.3022340Z 2025-12-04T09:48:20.3023235Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_1ddd662043db510e_.log 2025-12-04T09:48:20.3023956Z 2025-12-04T09:48:20.3024286Z Finished dynamo/test_exc 1/1 ... [2025-12-04 09:48:20.302030][5839.932992447], took 0.05min 2025-12-04T09:48:20.3078548Z Running dynamo/test_fx_passes_pre_grad 1/1 ... [2025-12-04 09:48:20.307685][5839.938648117] 2025-12-04T09:48:20.3079134Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:20.3082635Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fx_passes_pre_grad.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:48:20.308055] 2025-12-04T09:48:23.0227870Z 2025-12-04T09:48:23.0229551Z dynamo/test_fx_passes_pre_grad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_passes_pre_grad_1.1_cd93a6ef5ea4c917_.log 2025-12-04T09:48:23.0230995Z 2025-12-04T09:48:23.0231649Z Finished dynamo/test_fx_passes_pre_grad 1/1 ... [2025-12-04 09:48:23.022549][5842.653508409], took 0.05min 2025-12-04T09:48:23.0286477Z Running dynamo/test_base_output 1/1 ... [2025-12-04 09:48:23.028363][5842.659326354] 2025-12-04T09:48:23.0287261Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:23.0290890Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_base_output.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:48:23.028751] 2025-12-04T09:48:25.9897650Z 2025-12-04T09:48:25.9898558Z dynamo/test_base_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_output_1.1_87f8abe2be16f530_.log 2025-12-04T09:48:25.9899260Z 2025-12-04T09:48:25.9899569Z Finished dynamo/test_base_output 1/1 ... [2025-12-04 09:48:25.989508][5845.620469555], took 0.05min 2025-12-04T09:48:25.9953272Z Running dynamo/test_fx_graph_runnable 1/1 ... [2025-12-04 09:48:25.995158][5845.62612047] 2025-12-04T09:48:25.9953874Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:25.9957471Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fx_graph_runnable.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:48:25.995522] 2025-12-04T09:48:32.9838085Z 2025-12-04T09:48:32.9839056Z dynamo/test_fx_graph_runnable 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_graph_runnable_1.1_6b8983547153754a_.log 2025-12-04T09:48:32.9839806Z 2025-12-04T09:48:32.9840148Z Finished dynamo/test_fx_graph_runnable 1/1 ... [2025-12-04 09:48:32.983592][5852.614553665], took 0.12min 2025-12-04T09:48:32.9894213Z Running dynamo/test_sdpa 1/1 ... [2025-12-04 09:48:32.989210][5852.62017349] 2025-12-04T09:48:32.9894688Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:32.9898185Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_sdpa.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:48:32.989568] 2025-12-04T09:48:35.9538760Z 2025-12-04T09:48:35.9540042Z dynamo/test_sdpa 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sdpa_1.1_f1fba8648f3b15e2_.log 2025-12-04T09:48:35.9541531Z 2025-12-04T09:48:35.9542045Z Finished dynamo/test_sdpa 1/1 ... [2025-12-04 09:48:35.953655][5855.584616938], took 0.05min 2025-12-04T09:48:35.9596865Z Running dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 09:48:35.959441][5855.590403492] 2025-12-04T09:48:35.9597687Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:35.9601828Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_skip_non_tensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:48:35.959875] 2025-12-04T09:48:38.9354076Z 2025-12-04T09:48:38.9355722Z dynamo/test_skip_non_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_non_tensor_1.1_774d45d25763cc93_.log 2025-12-04T09:48:38.9357193Z 2025-12-04T09:48:38.9357785Z Finished dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 09:48:38.935171][5858.566133328], took 0.05min 2025-12-04T09:48:38.9412265Z Running dynamo/test_buffers_override 1/1 ... [2025-12-04 09:48:38.940993][5858.571956658] 2025-12-04T09:48:38.9413124Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:38.9417527Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_buffers_override.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:48:38.941423] 2025-12-04T09:48:41.7512411Z 2025-12-04T09:48:41.7513471Z dynamo/test_buffers_override 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_buffers_override_1.1_987fe5ba84ec6c50_.log 2025-12-04T09:48:41.7514239Z 2025-12-04T09:48:41.7514570Z Finished dynamo/test_buffers_override 1/1 ... [2025-12-04 09:48:41.750912][5861.381872342], took 0.05min 2025-12-04T09:48:41.7566645Z Running dynamo/test_aot_autograd 1/1 ... [2025-12-04 09:48:41.756507][5861.387470599] 2025-12-04T09:48:41.7567134Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:41.7570987Z Executing ['/opt/conda/envs/py_3.10/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 09:48:41.756879] 2025-12-04T09:48:44.7488589Z 2025-12-04T09:48:44.7489598Z 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_133cb2845c612f47_.log 2025-12-04T09:48:44.7490455Z 2025-12-04T09:48:44.7490763Z Finished dynamo/test_aot_autograd 1/1 ... [2025-12-04 09:48:44.748512][5864.379474982], took 0.05min 2025-12-04T09:48:44.7542620Z Running dynamo/test_fx_annotate 1/1 ... [2025-12-04 09:48:44.754085][5864.385047539] 2025-12-04T09:48:44.7543137Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:44.7546610Z Executing ['/opt/conda/envs/py_3.10/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 09:48:44.754455] 2025-12-04T09:48:51.7821429Z 2025-12-04T09:48:51.7822892Z 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_75d4348b14e0db1d_.log 2025-12-04T09:48:51.7824222Z 2025-12-04T09:48:51.7825154Z Finished dynamo/test_fx_annotate 1/1 ... [2025-12-04 09:48:51.781915][5871.412875227], took 0.12min 2025-12-04T09:48:51.7880113Z Running dynamo/test_metrics_context 1/1 ... [2025-12-04 09:48:51.787753][5871.418715494] 2025-12-04T09:48:51.7880940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:51.7885008Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_metrics_context.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:48:51.788176] 2025-12-04T09:48:54.5083565Z 2025-12-04T09:48:54.5084472Z dynamo/test_metrics_context 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_metrics_context_1.1_025a8f889f1d7732_.log 2025-12-04T09:48:54.5085210Z 2025-12-04T09:48:54.5085541Z Finished dynamo/test_metrics_context 1/1 ... [2025-12-04 09:48:54.508004][5874.138966643], took 0.05min 2025-12-04T09:48:54.5138146Z Running dynamo/test_global 1/1 ... [2025-12-04 09:48:54.513628][5874.144590563] 2025-12-04T09:48:54.5138634Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:54.5142048Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_global.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:48:54.514008] 2025-12-04T09:48:57.5516139Z 2025-12-04T09:48:57.5517071Z dynamo/test_global 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_global_1.1_8735d31034d332b2_.log 2025-12-04T09:48:57.5517724Z 2025-12-04T09:48:57.5518000Z Finished dynamo/test_global 1/1 ... [2025-12-04 09:48:57.551321][5877.182283596], took 0.05min 2025-12-04T09:48:57.5570991Z Running dynamo/test_streams 1/1 ... [2025-12-04 09:48:57.556916][5877.18787947] 2025-12-04T09:48:57.5571466Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:57.5575159Z Executing ['/opt/conda/envs/py_3.10/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 09:48:57.557296] 2025-12-04T09:49:00.7964301Z 2025-12-04T09:49:00.7965702Z dynamo/test_streams 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_streams_1.1_4c738e48570478d9_.log 2025-12-04T09:49:00.7966993Z 2025-12-04T09:49:00.7967536Z Finished dynamo/test_streams 1/1 ... [2025-12-04 09:49:00.796196][5880.427156778], took 0.05min 2025-12-04T09:49:00.8022274Z Running dynamo/test_cudagraphs 1/1 ... [2025-12-04 09:49:00.801988][5880.432951809] 2025-12-04T09:49:00.8023078Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:00.8027109Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_cudagraphs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:49:00.802397] 2025-12-04T09:49:03.7883399Z 2025-12-04T09:49:03.7884278Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_f28379339e9827d7_.log 2025-12-04T09:49:03.7885018Z 2025-12-04T09:49:03.7885316Z Finished dynamo/test_cudagraphs 1/1 ... [2025-12-04 09:49:03.788119][5883.419080686], took 0.05min 2025-12-04T09:49:03.7940263Z Running dynamo/test_compile 1/1 ... [2025-12-04 09:49:03.793853][5883.424817604] 2025-12-04T09:49:03.7940804Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:03.7944382Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_compile.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:49:03.794221] 2025-12-04T09:49:06.7499328Z 2025-12-04T09:49:06.7500521Z dynamo/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compile_1.1_30ed735b7d1ea1e4_.log 2025-12-04T09:49:06.7501218Z 2025-12-04T09:49:06.7501503Z Finished dynamo/test_compile 1/1 ... [2025-12-04 09:49:06.749747][5886.380710144], took 0.05min 2025-12-04T09:49:06.7554853Z Running dynamo/test_resume 1/1 ... [2025-12-04 09:49:06.755318][5886.386281043] 2025-12-04T09:49:06.7555374Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:06.7559223Z Executing ['/opt/conda/envs/py_3.10/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 09:49:06.755683] 2025-12-04T09:49:09.5462270Z 2025-12-04T09:49:09.5463650Z dynamo/test_resume 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_resume_1.1_67daede64063159e_.log 2025-12-04T09:49:09.5464946Z 2025-12-04T09:49:09.5465457Z Finished dynamo/test_resume 1/1 ... [2025-12-04 09:49:09.546030][5889.176991255], took 0.05min 2025-12-04T09:49:09.5521004Z Running dynamo/test_backward_higher_order_ops 1/1 ... [2025-12-04 09:49:09.551852][5889.182814759] 2025-12-04T09:49:09.5521925Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:09.5525879Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_backward_higher_order_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:49:09.552268] 2025-12-04T09:49:12.5084147Z 2025-12-04T09:49:12.5085247Z dynamo/test_backward_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backward_higher_order_ops_1.1_013126b086117215_.log 2025-12-04T09:49:12.5086143Z 2025-12-04T09:49:12.5086586Z Finished dynamo/test_backward_higher_order_ops 1/1 ... [2025-12-04 09:49:12.508173][5892.139136043], took 0.05min 2025-12-04T09:49:12.5139891Z Running dynamo/test_debug_utils 1/1 ... [2025-12-04 09:49:12.513804][5892.144768069] 2025-12-04T09:49:12.5140391Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:12.5143972Z Executing ['/opt/conda/envs/py_3.10/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 09:49:12.514179] 2025-12-04T09:49:15.7991802Z 2025-12-04T09:49:15.7993418Z 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_a27275ff12240c38_.log 2025-12-04T09:49:15.7994756Z 2025-12-04T09:49:15.7995314Z Finished dynamo/test_debug_utils 1/1 ... [2025-12-04 09:49:15.798948][5895.429910823], took 0.05min 2025-12-04T09:49:15.8049644Z Running dynamo/test_package 1/1 ... [2025-12-04 09:49:15.804722][5895.4356861] 2025-12-04T09:49:15.8050423Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:15.8054441Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_package.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:49:15.805126] 2025-12-04T09:49:22.6432548Z 2025-12-04T09:49:22.6433411Z dynamo/test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_package_1.1_8c6bd2c0aad71e21_.log 2025-12-04T09:49:22.6434106Z 2025-12-04T09:49:22.6434392Z Finished dynamo/test_package 1/1 ... [2025-12-04 09:49:22.643044][5902.274006926], took 0.11min 2025-12-04T09:49:22.6488339Z Running dynamo/test_wrap_inductor_compiled_regions 1/1 ... [2025-12-04 09:49:22.648634][5902.27959756] 2025-12-04T09:49:22.6488915Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:22.6493020Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_wrap_inductor_compiled_regions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:49:22.649023] 2025-12-04T09:49:29.4484690Z 2025-12-04T09:49:29.4486306Z dynamo/test_wrap_inductor_compiled_regions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_wrap_inductor_compiled_regions_1.1_98c8aeddb1ce52d5_.log 2025-12-04T09:49:29.4487195Z 2025-12-04T09:49:29.4487575Z Finished dynamo/test_wrap_inductor_compiled_regions 1/1 ... [2025-12-04 09:49:29.448265][5909.079228933], took 0.11min 2025-12-04T09:49:29.4541187Z Running dynamo/test_aot_autograd_cache 1/1 ... [2025-12-04 09:49:29.453912][5909.084875498] 2025-12-04T09:49:29.4541700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:29.4544943Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_aot_autograd_cache.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:49:29.454263] 2025-12-04T09:49:36.3864110Z 2025-12-04T09:49:36.3865146Z dynamo/test_aot_autograd_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_cache_1.1_f81ef3916c895db3_.log 2025-12-04T09:49:36.3865929Z 2025-12-04T09:49:36.3866258Z Finished dynamo/test_aot_autograd_cache 1/1 ... [2025-12-04 09:49:36.386204][5916.017163959], took 0.12min 2025-12-04T09:49:36.3920355Z Running dynamo/test_compiler_bisector 1/1 ... [2025-12-04 09:49:36.391858][5916.022821515] 2025-12-04T09:49:36.3920876Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:36.3924203Z Executing ['/opt/conda/envs/py_3.10/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 09:49:36.392195] 2025-12-04T09:49:43.2114984Z 2025-12-04T09:49:43.2116091Z 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_1afff1f9220d8c80_.log 2025-12-04T09:49:43.2116884Z 2025-12-04T09:49:43.2117218Z Finished dynamo/test_compiler_bisector 1/1 ... [2025-12-04 09:49:43.211291][5922.842253375], took 0.11min 2025-12-04T09:49:43.2170893Z Running dynamo/test_error_messages 1/1 ... [2025-12-04 09:49:43.216902][5922.847865813] 2025-12-04T09:49:43.2171397Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:43.2174786Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_error_messages.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:49:43.217255] 2025-12-04T09:49:46.1489181Z 2025-12-04T09:49:46.1490832Z dynamo/test_error_messages 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_error_messages_1.1_89f6e6ef2807ed42_.log 2025-12-04T09:49:46.1492277Z 2025-12-04T09:49:46.1492908Z Finished dynamo/test_error_messages 1/1 ... [2025-12-04 09:49:46.148651][5925.779613001], took 0.05min 2025-12-04T09:49:46.1546968Z Running dynamo/test_guard_manager 1/1 ... [2025-12-04 09:49:46.154448][5925.785411698] 2025-12-04T09:49:46.1547786Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:46.1551933Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_guard_manager.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:49:46.154865] 2025-12-04T09:49:48.9146612Z 2025-12-04T09:49:48.9147904Z dynamo/test_guard_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_manager_1.1_99dcfe22a26991b0_.log 2025-12-04T09:49:48.9148662Z 2025-12-04T09:49:48.9149019Z Finished dynamo/test_guard_manager 1/1 ... [2025-12-04 09:49:48.914454][5928.545416434], took 0.05min 2025-12-04T09:49:48.9204044Z Running dynamo/test_precompile_context 1/1 ... [2025-12-04 09:49:48.920215][5928.551177878] 2025-12-04T09:49:48.9204702Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:48.9208316Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_precompile_context.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:49:48.920594] 2025-12-04T09:49:55.6959000Z 2025-12-04T09:49:55.6959939Z dynamo/test_precompile_context 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_precompile_context_1.1_0d23ec78ceb57f1b_.log 2025-12-04T09:49:55.6960714Z 2025-12-04T09:49:55.6961096Z Finished dynamo/test_precompile_context 1/1 ... [2025-12-04 09:49:55.695653][5935.326611902], took 0.11min 2025-12-04T09:49:55.7019644Z Running dynamo/test_reorder_logs 1/1 ... [2025-12-04 09:49:55.701781][5935.332744799] 2025-12-04T09:49:55.7020143Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:55.7023575Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_reorder_logs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:49:55.702129] 2025-12-04T09:49:58.7323008Z 2025-12-04T09:49:58.7324019Z dynamo/test_reorder_logs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reorder_logs_1.1_69a7a3311124a14f_.log 2025-12-04T09:49:58.7324794Z 2025-12-04T09:49:58.7325100Z Finished dynamo/test_reorder_logs 1/1 ... [2025-12-04 09:49:58.732090][5938.363050271], took 0.05min 2025-12-04T09:49:58.7379001Z Running dynamo/test_python_autograd 1/1 ... [2025-12-04 09:49:58.737723][5938.368686554] 2025-12-04T09:49:58.7379507Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:58.7382808Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_python_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 09:49:58.738077] 2025-12-04T09:50:01.8109551Z 2025-12-04T09:50:01.8110769Z dynamo/test_python_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_autograd_1.1_3ca3c493bf9077a0_.log 2025-12-04T09:50:01.8111579Z 2025-12-04T09:50:01.8111920Z Finished dynamo/test_python_autograd 1/1 ... [2025-12-04 09:50:01.810731][5941.441692222], took 0.05min 2025-12-04T09:50:01.8165701Z Running test_appending_byte_serializer 1/1 ... [2025-12-04 09:50:01.816363][5941.447325802] 2025-12-04T09:50:01.8166259Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:01.8169380Z Executing ['/opt/conda/envs/py_3.10/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 09:50:01.816725] 2025-12-04T09:50:04.6800227Z 2025-12-04T09:50:04.6801207Z 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_ace2d068d739002a_.log 2025-12-04T09:50:04.6801975Z 2025-12-04T09:50:04.6802309Z Finished test_appending_byte_serializer 1/1 ... [2025-12-04 09:50:04.679826][5944.310787409], took 0.05min 2025-12-04T09:50:04.6857038Z Running test_matmul_cuda 1/1 ... [2025-12-04 09:50:04.685500][5944.316463136] 2025-12-04T09:50:04.6857502Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:04.6861312Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_matmul_cuda.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:50:04.685879] 2025-12-04T09:50:11.7307150Z 2025-12-04T09:50:11.7308447Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_abcce41aac7c7cd4_.log 2025-12-04T09:50:11.7310174Z Running 0 items in this shard: 2025-12-04T09:50:11.7310541Z 2025-12-04T09:50:11.7311037Z Finished test_matmul_cuda 1/1 ... [2025-12-04 09:50:11.730518][5951.361477283], took 0.12min 2025-12-04T09:50:11.7361858Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_matmul_cuda/test_matmul_cuda-96c0f3cf9f9f6dc2.xml 2025-12-04T09:50:11.8163354Z Running xpu/test_conv 1/1 ... [2025-12-04 09:50:11.815972][5951.446934195] 2025-12-04T09:50:11.8164120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:11.8166373Z Executing ['/opt/conda/envs/py_3.10/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 09:50:11.816357] 2025-12-04T09:50:15.3907768Z 2025-12-04T09:50:15.3909157Z xpu/test_conv 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_conv_1.1_865eb59dfa7f7ae4_.log 2025-12-04T09:50:15.3910485Z Running 0 items in this shard: 2025-12-04T09:50:15.3910842Z 2025-12-04T09:50:15.3911301Z Finished xpu/test_conv 1/1 ... [2025-12-04 09:50:15.390596][5955.021556049], took 0.06min 2025-12-04T09:50:15.3963425Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_conv/xpu.test_conv-583e7bd032e64bdf.xml 2025-12-04T09:50:15.4211793Z Running test_cuda_expandable_segments 1/1 ... [2025-12-04 09:50:15.420938][5955.05190087] 2025-12-04T09:50:15.4212660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:15.4216656Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_expandable_segments.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:50:15.421338] 2025-12-04T09:50:19.7075175Z 2025-12-04T09:50:19.7076192Z test_cuda_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_expandable_segments_1.1_e83ba782dd2d881f_.log 2025-12-04T09:50:19.7077027Z 2025-12-04T09:50:19.7077403Z Finished test_cuda_expandable_segments 1/1 ... [2025-12-04 09:50:19.707293][5959.338253599], took 0.07min 2025-12-04T09:50:19.7136538Z Running optim/test_swa_utils 1/1 ... [2025-12-04 09:50:19.713417][5959.344381332] 2025-12-04T09:50:19.7137041Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:19.7140226Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_swa_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:50:19.713794] 2025-12-04T09:50:22.4892540Z 2025-12-04T09:50:22.4893433Z optim/test_swa_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_swa_utils_1.1_e6c7127118d787b5_.log 2025-12-04T09:50:22.4894123Z 2025-12-04T09:50:22.4894405Z Finished optim/test_swa_utils 1/1 ... [2025-12-04 09:50:22.489022][5962.119984608], took 0.05min 2025-12-04T09:50:22.4951142Z Running optim/test_optim 1/1 ... [2025-12-04 09:50:22.494945][5962.125909501] 2025-12-04T09:50:22.4951665Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:22.4955596Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_optim.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:50:22.495321] 2025-12-04T09:50:25.2615283Z 2025-12-04T09:50:25.2616182Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_16b960053dec8b83_.log 2025-12-04T09:50:25.2617027Z 2025-12-04T09:50:25.2617317Z Finished optim/test_optim 1/1 ... [2025-12-04 09:50:25.261351][5964.892311556], took 0.05min 2025-12-04T09:50:25.2674271Z Running test_unary_ufuncs 2/2 ... [2025-12-04 09:50:25.267259][5964.898222602] 2025-12-04T09:50:25.2674744Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:25.2678382Z Executing ['/opt/conda/envs/py_3.10/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 09:50:25.267636] 2025-12-04T09:50:33.6432460Z 2025-12-04T09:50:33.6433867Z test_unary_ufuncs 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_2.2_a48f08ac40c23fb2_.log 2025-12-04T09:50:33.6435288Z Running 0 items in this shard: 2025-12-04T09:50:33.6435640Z 2025-12-04T09:50:33.6436146Z Finished test_unary_ufuncs 2/2 ... [2025-12-04 09:50:33.642998][5973.273960198], took 0.14min 2025-12-04T09:50:33.6487923Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-0eeb13a835704eea.xml 2025-12-04T09:50:36.5728024Z Running dynamo/test_dynamic_shapes 1/1 ... [2025-12-04 09:50:36.572410][5976.203367337] 2025-12-04T09:50:36.5728918Z Running dynamo/test_functions 1/1 ... [2025-12-04 09:50:36.572421][5976.203382037] 2025-12-04T09:50:36.5729541Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:36.5730028Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:36.5730678Z Running dynamo/test_sets 1/1 ... [2025-12-04 09:50:36.572481][5976.203439988] 2025-12-04T09:50:36.5731518Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:36.5732816Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_functions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:50:36.572902] 2025-12-04T09:50:36.5734899Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_sets.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:50:36.572950] 2025-12-04T09:50:36.5736980Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:50:36.572980] 2025-12-04T09:50:39.7183267Z 2025-12-04T09:50:39.7184620Z dynamo/test_sets 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sets_1.1_4829e953e6b7e79f_.log 2025-12-04T09:50:39.7185466Z 2025-12-04T09:50:39.7185746Z Finished dynamo/test_sets 1/1 ... [2025-12-04 09:50:39.718036][5979.348995087], took 0.05min 2025-12-04T09:50:43.2073632Z Running dynamo/test_after_aot 1/1 ... [2025-12-04 09:50:43.206974][5982.837934806] 2025-12-04T09:50:43.2074429Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:43.2078195Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_after_aot.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:50:43.207448] 2025-12-04T09:50:45.2835919Z 2025-12-04T09:50:45.2837433Z dynamo/test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dynamic_shapes_1.1_34cf8227eb99172f_.log 2025-12-04T09:50:45.2839217Z 2025-12-04T09:50:45.2839815Z Finished dynamo/test_dynamic_shapes 1/1 ... [2025-12-04 09:50:45.283305][5984.914267647], took 0.15min 2025-12-04T09:50:45.5341716Z 2025-12-04T09:50:45.5343027Z dynamo/test_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_functions_1.1_520e5a5ee3112638_.log 2025-12-04T09:50:45.5344056Z 2025-12-04T09:50:45.5344349Z Finished dynamo/test_functions 1/1 ... [2025-12-04 09:50:45.533914][5985.164877424], took 0.15min 2025-12-04T09:50:46.4826197Z 2025-12-04T09:50:46.4827477Z dynamo/test_after_aot 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_after_aot_1.1_8b6a1a6f50d2388a_.log 2025-12-04T09:50:46.4828185Z 2025-12-04T09:50:46.4828476Z Finished dynamo/test_after_aot 1/1 ... [2025-12-04 09:50:46.482356][5986.113317152], took 0.05min 2025-12-04T09:50:48.7956923Z Running dynamo/test_unspec 1/1 ... [2025-12-04 09:50:48.795276][5988.426236431] 2025-12-04T09:50:48.7957759Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:48.7961083Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_unspec.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:50:48.795742] 2025-12-04T09:50:49.0528444Z Running dynamo/test_exc 1/1 ... [2025-12-04 09:50:49.052503][5988.683463871] 2025-12-04T09:50:49.0528964Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:49.0532722Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_exc.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:50:49.052979] 2025-12-04T09:50:50.0316655Z Running dynamo/test_fx_passes_pre_grad 1/1 ... [2025-12-04 09:50:50.031173][5989.662133242] 2025-12-04T09:50:50.0317378Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:50.0318927Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fx_passes_pre_grad.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:50:50.031612] 2025-12-04T09:50:52.2767336Z 2025-12-04T09:50:52.2768571Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_5532398e6098b847_.log 2025-12-04T09:50:52.2769200Z 2025-12-04T09:50:52.2769469Z Finished dynamo/test_exc 1/1 ... [2025-12-04 09:50:52.276462][5991.907424041], took 0.05min 2025-12-04T09:50:52.4049695Z 2025-12-04T09:50:52.4050902Z dynamo/test_unspec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unspec_1.1_56cd6a9b625aea93_.log 2025-12-04T09:50:52.4052074Z 2025-12-04T09:50:53.0098217Z Finished dynamo/test_unspec 1/1 ... [2025-12-04 09:50:52.404698][5992.035660521], took 0.06min 2025-12-04T09:50:53.0099006Z 2025-12-04T09:50:53.0100185Z dynamo/test_fx_passes_pre_grad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_passes_pre_grad_1.1_143be486243ae2cb_.log 2025-12-04T09:50:53.0101603Z 2025-12-04T09:50:53.0102180Z Finished dynamo/test_fx_passes_pre_grad 1/1 ... [2025-12-04 09:50:53.009509][5992.640469], took 0.05min 2025-12-04T09:50:55.7489876Z Running dynamo/test_base_output 1/1 ... [2025-12-04 09:50:55.748530][5995.379491007] 2025-12-04T09:50:55.7490680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:55.7492605Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_base_output.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:50:55.748980] 2025-12-04T09:50:55.8958905Z Running dynamo/test_fx_graph_runnable 1/1 ... [2025-12-04 09:50:55.895433][5995.526393337] 2025-12-04T09:50:55.8959553Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:55.8961860Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fx_graph_runnable.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:50:55.895881] 2025-12-04T09:50:56.5186263Z Running dynamo/test_sdpa 1/1 ... [2025-12-04 09:50:56.518191][5996.149152832] 2025-12-04T09:50:56.5187084Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:56.5189970Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_sdpa.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:50:56.518645] 2025-12-04T09:50:58.9975669Z 2025-12-04T09:50:58.9977180Z dynamo/test_base_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_output_1.1_af9ed125b4af4cd6_.log 2025-12-04T09:50:58.9978476Z 2025-12-04T09:50:58.9978934Z Finished dynamo/test_base_output 1/1 ... [2025-12-04 09:50:58.997287][5998.628248447], took 0.05min 2025-12-04T09:50:59.7139900Z 2025-12-04T09:50:59.7141230Z dynamo/test_sdpa 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sdpa_1.1_17a485b2ca43db7a_.log 2025-12-04T09:50:59.7142435Z 2025-12-04T09:50:59.7142891Z Finished dynamo/test_sdpa 1/1 ... [2025-12-04 09:50:59.713606][5999.3445657], took 0.05min 2025-12-04T09:51:02.6075058Z Running dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 09:51:02.607061][6002.238021761] 2025-12-04T09:51:02.6076087Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:02.6077962Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_skip_non_tensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:51:02.607501] 2025-12-04T09:51:03.2865730Z Running dynamo/test_buffers_override 1/1 ... [2025-12-04 09:51:03.286156][6002.917116508] 2025-12-04T09:51:03.2866315Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:03.2868967Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_buffers_override.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:51:03.286623] 2025-12-04T09:51:03.4683920Z 2025-12-04T09:51:03.4685337Z dynamo/test_fx_graph_runnable 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_graph_runnable_1.1_a89b0c085aca41ba_.log 2025-12-04T09:51:03.4686563Z 2025-12-04T09:51:03.4687119Z Finished dynamo/test_fx_graph_runnable 1/1 ... [2025-12-04 09:51:03.468077][6003.099037423], took 0.13min 2025-12-04T09:51:05.8966570Z 2025-12-04T09:51:05.8967704Z dynamo/test_skip_non_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_non_tensor_1.1_e1fb444ab39d2550_.log 2025-12-04T09:51:05.8968451Z 2025-12-04T09:51:05.8968777Z Finished dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 09:51:05.896287][6005.52725036], took 0.05min 2025-12-04T09:51:06.2906963Z 2025-12-04T09:51:06.2908357Z dynamo/test_buffers_override 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_buffers_override_1.1_2b1b556d4027bf11_.log 2025-12-04T09:51:06.2909194Z 2025-12-04T09:51:06.2909523Z Finished dynamo/test_buffers_override 1/1 ... [2025-12-04 09:51:06.290454][6005.921414288], took 0.05min 2025-12-04T09:51:06.9443999Z Running dynamo/test_aot_autograd 1/1 ... [2025-12-04 09:51:06.943754][6006.574712788] 2025-12-04T09:51:06.9444873Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:06.9448766Z Executing ['/opt/conda/envs/py_3.10/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 09:51:06.944218] 2025-12-04T09:51:09.3280441Z Running dynamo/test_fx_annotate 1/1 ... [2025-12-04 09:51:09.327634][6008.958596101] 2025-12-04T09:51:09.3283549Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:09.3285159Z Executing ['/opt/conda/envs/py_3.10/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 09:51:09.328096] 2025-12-04T09:51:09.7556615Z Running dynamo/test_metrics_context 1/1 ... [2025-12-04 09:51:09.755252][6009.386213506] 2025-12-04T09:51:09.7557191Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:09.7559862Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_metrics_context.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:51:09.755695] 2025-12-04T09:51:10.1711443Z 2025-12-04T09:51:10.1712947Z 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_6616a5749e49b063_.log 2025-12-04T09:51:10.1714296Z 2025-12-04T09:51:10.1714857Z Finished dynamo/test_aot_autograd 1/1 ... [2025-12-04 09:51:10.170860][6009.801823079], took 0.05min 2025-12-04T09:51:12.6522809Z 2025-12-04T09:51:12.6524102Z dynamo/test_metrics_context 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_metrics_context_1.1_5787167844242171_.log 2025-12-04T09:51:12.6525159Z 2025-12-04T09:51:12.6525681Z Finished dynamo/test_metrics_context 1/1 ... [2025-12-04 09:51:12.651991][6012.282950875], took 0.05min 2025-12-04T09:51:13.6455234Z Running dynamo/test_global 1/1 ... [2025-12-04 09:51:13.645003][6013.275957306] 2025-12-04T09:51:13.6456219Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:13.6460656Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_global.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:51:13.645653] 2025-12-04T09:51:16.1814017Z Running dynamo/test_streams 1/1 ... [2025-12-04 09:51:16.180943][6015.811901308] 2025-12-04T09:51:16.1814919Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:16.1817665Z Executing ['/opt/conda/envs/py_3.10/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 09:51:16.181419] 2025-12-04T09:51:16.8123150Z 2025-12-04T09:51:16.8124633Z 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_f8e1734c6f55e2df_.log 2025-12-04T09:51:16.8125935Z 2025-12-04T09:51:16.8126473Z Finished dynamo/test_fx_annotate 1/1 ... [2025-12-04 09:51:16.812028][6016.442990664], took 0.12min 2025-12-04T09:51:16.8954184Z 2025-12-04T09:51:16.8955287Z dynamo/test_global 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_global_1.1_b352f9545a81231b_.log 2025-12-04T09:51:16.8956337Z 2025-12-04T09:51:16.8956646Z Finished dynamo/test_global 1/1 ... [2025-12-04 09:51:16.895156][6016.526113262], took 0.05min 2025-12-04T09:51:19.8002075Z 2025-12-04T09:51:19.8002962Z dynamo/test_streams 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_streams_1.1_b780c4aa215cfbcd_.log 2025-12-04T09:51:19.8003647Z 2025-12-04T09:51:19.8004229Z Finished dynamo/test_streams 1/1 ... [2025-12-04 09:51:19.799902][6019.430865651], took 0.06min 2025-12-04T09:51:20.2334304Z Running dynamo/test_cudagraphs 1/1 ... [2025-12-04 09:51:20.233024][6019.863984383] 2025-12-04T09:51:20.2335184Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:20.2337703Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_cudagraphs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:51:20.233463] 2025-12-04T09:51:20.3651795Z Running dynamo/test_compile 1/1 ... [2025-12-04 09:51:20.364795][6019.995754025] 2025-12-04T09:51:20.3652669Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:20.3655854Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_compile.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:51:20.365235] 2025-12-04T09:51:23.2420603Z Running dynamo/test_resume 1/1 ... [2025-12-04 09:51:23.241643][6022.872600217] 2025-12-04T09:51:23.2421584Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:23.2424284Z Executing ['/opt/conda/envs/py_3.10/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 09:51:23.242098] 2025-12-04T09:51:23.4241397Z 2025-12-04T09:51:23.4242548Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_3b55d61f8e163fa6_.log 2025-12-04T09:51:23.4243773Z 2025-12-04T09:51:23.4244223Z Finished dynamo/test_cudagraphs 1/1 ... [2025-12-04 09:51:23.423902][6023.054861812], took 0.05min 2025-12-04T09:51:23.6650493Z 2025-12-04T09:51:23.6652402Z dynamo/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compile_1.1_30cfda61daa78cd1_.log 2025-12-04T09:51:23.6653764Z 2025-12-04T09:51:23.6654322Z Finished dynamo/test_compile 1/1 ... [2025-12-04 09:51:23.664802][6023.295740988], took 0.05min 2025-12-04T09:51:26.2508471Z 2025-12-04T09:51:26.2509921Z dynamo/test_resume 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_resume_1.1_7992939c69aa3d8c_.log 2025-12-04T09:51:26.2511160Z 2025-12-04T09:51:26.2511669Z Finished dynamo/test_resume 1/1 ... [2025-12-04 09:51:26.250559][6025.881521469], took 0.05min 2025-12-04T09:51:26.9461723Z Running dynamo/test_backward_higher_order_ops 1/1 ... [2025-12-04 09:51:26.945648][6026.576609391] 2025-12-04T09:51:26.9462747Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:26.9464850Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_backward_higher_order_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:51:26.946069] 2025-12-04T09:51:27.1558178Z Running dynamo/test_debug_utils 1/1 ... [2025-12-04 09:51:27.155109][6026.786062238] 2025-12-04T09:51:27.1559336Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:27.1570514Z Executing ['/opt/conda/envs/py_3.10/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 09:51:27.156465] 2025-12-04T09:51:29.6758231Z Running dynamo/test_package 1/1 ... [2025-12-04 09:51:29.675442][6029.306402228] 2025-12-04T09:51:29.6758738Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:29.6762446Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_package.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:51:29.675926] 2025-12-04T09:51:30.1743259Z 2025-12-04T09:51:30.1744366Z dynamo/test_backward_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backward_higher_order_ops_1.1_566e8e0e3fc81538_.log 2025-12-04T09:51:30.1745998Z 2025-12-04T09:51:30.1746359Z Finished dynamo/test_backward_higher_order_ops 1/1 ... [2025-12-04 09:51:30.174056][6029.805016643], took 0.05min 2025-12-04T09:51:30.8506600Z 2025-12-04T09:51:30.8507648Z 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_9cb791285f4c56cc_.log 2025-12-04T09:51:30.8508422Z 2025-12-04T09:51:30.8508735Z Finished dynamo/test_debug_utils 1/1 ... [2025-12-04 09:51:30.850319][6030.481278094], took 0.06min 2025-12-04T09:51:33.6102222Z Running dynamo/test_wrap_inductor_compiled_regions 1/1 ... [2025-12-04 09:51:33.609749][6033.240710277] 2025-12-04T09:51:33.6103396Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:33.6105759Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_wrap_inductor_compiled_regions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:51:33.610187] 2025-12-04T09:51:34.3949134Z Running dynamo/test_aot_autograd_cache 1/1 ... [2025-12-04 09:51:34.394492][6034.025452748] 2025-12-04T09:51:34.3950036Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:34.3953398Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_aot_autograd_cache.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:51:34.394967] 2025-12-04T09:51:37.1267928Z 2025-12-04T09:51:37.1269274Z dynamo/test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_package_1.1_ddad240b5d701f17_.log 2025-12-04T09:51:37.1270444Z 2025-12-04T09:51:37.1270903Z Finished dynamo/test_package 1/1 ... [2025-12-04 09:51:37.126525][6036.757488048], took 0.12min 2025-12-04T09:51:40.6308791Z Running dynamo/test_compiler_bisector 1/1 ... [2025-12-04 09:51:40.630476][6040.261436397] 2025-12-04T09:51:40.6309764Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:40.6313413Z Executing ['/opt/conda/envs/py_3.10/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 09:51:40.630970] 2025-12-04T09:51:41.1502455Z 2025-12-04T09:51:41.1503719Z dynamo/test_wrap_inductor_compiled_regions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_wrap_inductor_compiled_regions_1.1_006382e9db7d023c_.log 2025-12-04T09:51:41.1504692Z 2025-12-04T09:51:41.1505140Z Finished dynamo/test_wrap_inductor_compiled_regions 1/1 ... [2025-12-04 09:51:41.149915][6040.780877211], took 0.13min 2025-12-04T09:51:42.6835384Z 2025-12-04T09:51:42.6836699Z dynamo/test_aot_autograd_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_cache_1.1_4bdda47dd5e5a420_.log 2025-12-04T09:51:42.6837510Z 2025-12-04T09:51:42.6837839Z Finished dynamo/test_aot_autograd_cache 1/1 ... [2025-12-04 09:51:42.683308][6042.314269696], took 0.14min 2025-12-04T09:51:44.6152592Z Running dynamo/test_error_messages 1/1 ... [2025-12-04 09:51:44.614873][6044.245834095] 2025-12-04T09:51:44.6153135Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:44.6157438Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_error_messages.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:51:44.615384] 2025-12-04T09:51:46.2227220Z Running dynamo/test_guard_manager 1/1 ... [2025-12-04 09:51:46.222308][6045.853266011] 2025-12-04T09:51:46.2228111Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:46.2233292Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_guard_manager.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:51:46.222943] 2025-12-04T09:51:47.8886629Z 2025-12-04T09:51:47.8888412Z dynamo/test_error_messages 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_error_messages_1.1_e1d18631e55b02b2_.log 2025-12-04T09:51:47.8889899Z 2025-12-04T09:51:47.8890760Z Finished dynamo/test_error_messages 1/1 ... [2025-12-04 09:51:47.888222][6047.519184291], took 0.05min 2025-12-04T09:51:48.1505305Z 2025-12-04T09:51:48.1506898Z 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_e16ae6b0c742f3e4_.log 2025-12-04T09:51:48.1508362Z 2025-12-04T09:51:48.1508948Z Finished dynamo/test_compiler_bisector 1/1 ... [2025-12-04 09:51:48.150253][6047.78121173], took 0.13min 2025-12-04T09:51:49.2547494Z 2025-12-04T09:51:49.2548822Z dynamo/test_guard_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_manager_1.1_e5b6acc6f3167e0a_.log 2025-12-04T09:51:49.2550083Z 2025-12-04T09:51:49.2550604Z Finished dynamo/test_guard_manager 1/1 ... [2025-12-04 09:51:49.254474][6048.885436584], took 0.05min 2025-12-04T09:51:51.3636511Z Running dynamo/test_precompile_context 1/1 ... [2025-12-04 09:51:51.363214][6050.994175584] 2025-12-04T09:51:51.3637552Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:51.3640088Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_precompile_context.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:51:51.363641] 2025-12-04T09:51:51.6066330Z Running dynamo/test_reorder_logs 1/1 ... [2025-12-04 09:51:51.606189][6051.237149746] 2025-12-04T09:51:51.6067328Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:51.6070001Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_reorder_logs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:51:51.606658] 2025-12-04T09:51:52.7548344Z Running dynamo/test_python_autograd 1/1 ... [2025-12-04 09:51:52.754436][6052.385395997] 2025-12-04T09:51:52.7548889Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:52.7552601Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_python_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 09:51:52.754890] 2025-12-04T09:51:54.7703621Z 2025-12-04T09:51:54.7704724Z dynamo/test_reorder_logs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reorder_logs_1.1_85599e9109162efe_.log 2025-12-04T09:51:54.7705688Z 2025-12-04T09:51:54.7705995Z Finished dynamo/test_reorder_logs 1/1 ... [2025-12-04 09:51:54.769977][6054.400936858], took 0.05min 2025-12-04T09:51:56.0361781Z 2025-12-04T09:51:56.0363319Z dynamo/test_python_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_autograd_1.1_b71ea39ba388cc1f_.log 2025-12-04T09:51:56.0364686Z 2025-12-04T09:51:58.3660572Z Finished dynamo/test_python_autograd 1/1 ... [2025-12-04 09:51:56.035928][6055.666888345], took 0.05min 2025-12-04T09:51:58.3661665Z Running test_appending_byte_serializer 1/1 ... [2025-12-04 09:51:58.365647][6057.996605342] 2025-12-04T09:51:58.3662288Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:58.3663665Z Executing ['/opt/conda/envs/py_3.10/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 09:51:58.366105] 2025-12-04T09:51:58.8179678Z 2025-12-04T09:51:58.8180957Z dynamo/test_precompile_context 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_precompile_context_1.1_f265dfb9c0d228ba_.log 2025-12-04T09:51:58.8181747Z 2025-12-04T09:51:59.5601129Z Finished dynamo/test_precompile_context 1/1 ... [2025-12-04 09:51:58.817552][6058.448513206], took 0.12min 2025-12-04T09:51:59.5602235Z Running test_matmul_cuda 1/1 ... [2025-12-04 09:51:59.559707][6059.190668371] 2025-12-04T09:51:59.5602956Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:59.5604606Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_matmul_cuda.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:51:59.560180] 2025-12-04T09:52:01.4291784Z 2025-12-04T09:52:01.4293527Z 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_31aec76d5e6473b0_.log 2025-12-04T09:52:01.4294920Z 2025-12-04T09:52:01.4295528Z Finished test_appending_byte_serializer 1/1 ... [2025-12-04 09:52:01.428908][6061.059871744], took 0.05min 2025-12-04T09:52:02.2892394Z Running xpu/test_conv 1/1 ... [2025-12-04 09:52:02.288830][6061.919790614] 2025-12-04T09:52:02.2893109Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:02.2897418Z Executing ['/opt/conda/envs/py_3.10/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 09:52:02.289339] 2025-12-04T09:52:04.9045213Z Running test_cuda_expandable_segments 1/1 ... [2025-12-04 09:52:04.904089][6064.535047591] 2025-12-04T09:52:04.9046178Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:04.9049243Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_expandable_segments.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:52:04.904570] 2025-12-04T09:52:06.0709576Z 2025-12-04T09:52:06.0710772Z xpu/test_conv 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_conv_1.1_40a434e1b33bd48f_.log 2025-12-04T09:52:06.0712174Z Running 0 items in this shard: 2025-12-04T09:52:06.0712464Z 2025-12-04T09:52:06.0712898Z Finished xpu/test_conv 1/1 ... [2025-12-04 09:52:06.070869][6065.701830143], took 0.06min 2025-12-04T09:52:06.0801628Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_conv/xpu.test_conv-fc4640672831738d.xml 2025-12-04T09:52:07.3285306Z 2025-12-04T09:52:07.3286419Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_5d998aae553a3c0f_.log 2025-12-04T09:52:07.3287257Z Running 0 items in this shard: 2025-12-04T09:52:07.3287452Z 2025-12-04T09:52:07.3287808Z Finished test_matmul_cuda 1/1 ... [2025-12-04 09:52:07.328431][6066.959391009], took 0.13min 2025-12-04T09:52:07.3385235Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_matmul_cuda/test_matmul_cuda-d21ebee9dee67f36.xml 2025-12-04T09:52:09.6374674Z Running optim/test_swa_utils 1/1 ... [2025-12-04 09:52:09.636997][6069.267957754] 2025-12-04T09:52:09.6375900Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:09.6378176Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_swa_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:52:09.637487] 2025-12-04T09:52:09.7419254Z 2025-12-04T09:52:09.7420638Z test_cuda_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_expandable_segments_1.1_5dc2e3868962d1d2_.log 2025-12-04T09:52:09.7421876Z 2025-12-04T09:52:10.8332099Z Finished test_cuda_expandable_segments 1/1 ... [2025-12-04 09:52:09.741636][6069.372597517], took 0.08min 2025-12-04T09:52:10.8332816Z Running optim/test_optim 1/1 ... [2025-12-04 09:52:10.832804][6070.463764974] 2025-12-04T09:52:10.8333335Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:10.8335977Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_optim.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:52:10.833262] 2025-12-04T09:52:12.6342879Z 2025-12-04T09:52:12.6345288Z optim/test_swa_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_swa_utils_1.1_ec7c7953d6c3e8cd_.log 2025-12-04T09:52:12.6346518Z 2025-12-04T09:52:12.6346957Z Finished optim/test_swa_utils 1/1 ... [2025-12-04 09:52:12.634155][6072.265114509], took 0.05min 2025-12-04T09:52:13.1516728Z Running test_unary_ufuncs 2/2 ... [2025-12-04 09:52:13.151316][6072.782276885] 2025-12-04T09:52:13.1517237Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:13.1520833Z Executing ['/opt/conda/envs/py_3.10/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 09:52:13.151791] 2025-12-04T09:52:13.8204281Z 2025-12-04T09:52:13.8205773Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_863d1e828c7f4ca1_.log 2025-12-04T09:52:13.8206464Z 2025-12-04T09:52:13.8206755Z Finished optim/test_optim 1/1 ... [2025-12-04 09:52:13.820329][6073.451285422], took 0.05min 2025-12-04T10:00:49.7975952Z 2025-12-04T10:00:49.7977182Z test_unary_ufuncs 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_2.2_e0461185af0853af_.log 2025-12-04T10:00:50.3125378Z 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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_acos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_acos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_acos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_acos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_acosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_acosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_acosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_acosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_acosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_asin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_asin_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_asin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_asin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_asin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_asin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_asin_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_asin_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_asinh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_asinh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_asinh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_asinh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_atan_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_atan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_atan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_atan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_atan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_atan_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_atan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_atanh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_atanh_cpu_float16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_ceil_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_ceil_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_ceil_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_conj_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_conj_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_conj_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_conj_physical_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_special_multigammaln_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_special_multigammaln_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_special_multigammaln_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_special_multigammaln_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_special_multigammaln_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_special_multigammaln_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_special_multigammaln_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs_special_multigammaln_mvlgamma_p_3_cpu_float16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_ceil_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_ceil_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_ceil_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfinv_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfinv_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfinv_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfinv_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erfinv_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_exp2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_exp2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_exp2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_exp2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_exp2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_exp2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_exp_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_exp_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_expm1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_expm1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_expm1_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_expm1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_expm1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_expm1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_expm1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_fill_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_float_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_float_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_float_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_float_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_float_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_float_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_floor_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_floor_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_floor_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_floor_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_frac_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_frexp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_frexp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_half_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_half_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_half_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_half_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_half_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_half_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_half_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_half_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_i0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_i0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_i0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_i0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_i0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_imag_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_imag_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_int_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_int_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_int_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_complex64, 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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_round_decimals_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_round_decimals_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_round_decimals_neg_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_round_decimals_neg_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_rsqrt_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_rsqrt_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_rsqrt_cpu_int32, 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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_short_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_short_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_short_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_short_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_short_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sigmoid_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sigmoid_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sigmoid_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sign_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_signbit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_signbit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_signbit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sin_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sin_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sinh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_sinh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_airy_ai_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_airy_ai_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_bessel_j0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_bessel_j0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_bessel_j0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_bessel_j0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_bessel_j1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_special_bessel_j1_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_size1_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_size1_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_size1_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_size1_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_size1_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_size1_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_size1_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_size1_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_size1_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_size1_nn_functional_softshrink_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_multigammaln_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_multigammaln_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_multigammaln_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_multigammaln_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_multigammaln_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_multigammaln_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_multigammaln_mvlgamma_p_3_cpu_int16, 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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_ndtr_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_ndtr_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_ndtr_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_ndtr_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_ndtr_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_ndtri_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_ndtri_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_ndtri_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_special_spherical_bessel_j0_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sqrt_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_square_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_square_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_square_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_square_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_square_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_square_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_square_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_tan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_tan_cpu_complex128, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_abs_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_abs_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_abs_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_abs_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_abs_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_abs_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_abs_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_abs_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_abs_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_int64, 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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_bfloat16_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_int8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_complex128, 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, 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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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_signbit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_signbit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_signbit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_signbit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_special_airy_ai_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_special_airy_ai_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_special_airy_ai_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_special_bessel_j0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_special_bessel_j0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_special_bessel_j0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_special_bessel_j0_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_lgamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log10_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log10_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log10_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log10_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log1p_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log1p_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log1p_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_logical_not_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_logical_not_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_logical_not_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_logical_not_cpu_float16, 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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_selu_cpu_float64, 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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_positive_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_positive_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_rad2deg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_rad2deg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_real_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_real_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_real_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_real_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_real_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_real_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_reciprocal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_reciprocal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_reciprocal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_reciprocal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_round_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_round_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_round_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_round_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_round_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_round_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_round_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_rsqrt_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_rsqrt_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sgn_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sgn_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sgn_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sgn_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sgn_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sgn_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sigmoid_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sigmoid_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sign_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_signbit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_signbit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_signbit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_signbit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_signbit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_signbit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_signbit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sin_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sin_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed__refs_sin_cpu_uint8, 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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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_bfloat16_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_bfloat16_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_bool_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_bool_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_bool_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_bool_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_bool_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_bool_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_byte_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_byte_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_byte_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_byte_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_byte_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_cdouble_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_cdouble_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_cdouble_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_cdouble_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_cdouble_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_cdouble_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_cdouble_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_cfloat_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_cfloat_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_double_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig__refs__conversions_double_cpu_int64, 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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, 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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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_neg_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rsqrt_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rsqrt_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sgn_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sgn_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sgn_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sgn_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sgn_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sgn_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sgn_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_short_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_short_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_short_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_short_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_short_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sigmoid_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sigmoid_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sigmoid_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sigmoid_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sigmoid_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_signbit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_signbit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_signbit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_signbit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_signbit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_signbit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_signbit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sin_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sin_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sin_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sin_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinc_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_bool, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_erfcx_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_erfcx_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_erfcx_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_erfcx_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i0e_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i0e_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i0e_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i0e_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i0e_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i1e_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_i1e_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_log_ndtr_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_log_ndtr_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_modified_bessel_i0_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_ndtri_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_ndtri_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_ndtri_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_polygamma_special_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_polygamma_special_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_polygamma_special_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_polygamma_special_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_polygamma_special_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_polygamma_special_polygamma_n_0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_polygamma_special_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_polygamma_special_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_scaled_modified_bessel_k0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_scaled_modified_bessel_k0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_scaled_modified_bessel_k0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_scaled_modified_bessel_k1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_scaled_modified_bessel_k1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_scaled_modified_bessel_k1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_scaled_modified_bessel_k1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_spherical_bessel_j0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_spherical_bessel_j0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_spherical_bessel_j0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_spherical_bessel_j0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_spherical_bessel_j0_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_tanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_trunc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_trunc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_trunc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expm1_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expm1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expm1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expm1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_fill_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_fill_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_fill_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_fill_cpu_int32, 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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, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_polygamma_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_polygamma_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_polygamma_polygamma_n_1_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, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sin_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sin_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sin_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sin_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sinc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sinc_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sinc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sinc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sinh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sinh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sinh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_airy_ai_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_airy_ai_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_airy_ai_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_airy_ai_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_bessel_j0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_bessel_j0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_bessel_j0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_bessel_j0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_bessel_j0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_bessel_j1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_bessel_j1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_bessel_j1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_bessel_j1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_bessel_j1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_bessel_j1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_bessel_y0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_bessel_y0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_bessel_y0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_bessel_y0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_special_bessel_y0_cpu_int32, 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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 2025-12-04T10:00:50.9234761Z 2025-12-04T10:00:50.9235300Z Finished test_unary_ufuncs 2/2 ... [2025-12-04 10:00:49.817431][6589.448386265], took 8.61min 2025-12-04T10:00:50.9237053Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-5ec589f8ba4cd17c.xml 2025-12-04T10:00:50.9238506Z Uploading artifacts took 0.52 seconds 2025-12-04T10:00:53.6947965Z Running test batch 'tests to run' cost 5679.43 seconds 2025-12-04T10:00:54.7069867Z 2025-12-04T10:00:54.7070273Z real 94m46.070s 2025-12-04T10:00:54.7070564Z user 118m33.471s 2025-12-04T10:00:54.7070797Z sys 17m17.024s 2025-12-04T10:00:54.7071016Z + assert_git_not_dirty 2025-12-04T10:00:54.7074046Z + [[ linux-jammy-py3.10-clang12 != *rocm* ]] 2025-12-04T10:00:54.7074492Z + [[ linux-jammy-py3.10-clang12 != *xla* ]] 2025-12-04T10:00:54.7093294Z ++ git status --porcelain 2025-12-04T10:00:54.7094287Z ++ grep -v '?? third_party' 2025-12-04T10:01:39.4549257Z ++ true 2025-12-04T10:01:39.4592989Z + git_status= 2025-12-04T10:01:39.4593242Z + [[ -n '' ]] 2025-12-04T10:01:39.4593653Z + [[ 1 == 1 ]] 2025-12-04T10:01:39.4593872Z + test_aten 2025-12-04T10:01:39.4599767Z + echo 'Running ATen tests with pytorch lib' 2025-12-04T10:01:39.4600236Z Running ATen tests with pytorch lib 2025-12-04T10:01:39.4600698Z + [[ -n '' ]] 2025-12-04T10:01:39.4600960Z + echo 'Running test with the build folder' 2025-12-04T10:01:39.4601290Z Running test with the build folder 2025-12-04T10:01:39.4601610Z + TEST_BASE_DIR=build/bin 2025-12-04T10:01:39.4602098Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so build/bin 2025-12-04T10:01:39.4647318Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2*' build/bin 2025-12-04T10:01:39.4659309Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libmkldnn*' build/bin 2025-12-04T10:01:39.4670797Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnccl*' build/bin 2025-12-04T10:01:39.4682834Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so build/bin 2025-12-04T10:01:39.4692355Z + ls build/bin 2025-12-04T10:01:39.4758312Z BackoffTest cpu_generator_test 2025-12-04T10:01:39.4759006Z CMakeFiles cpu_profiling_allocator_test 2025-12-04T10:01:39.4759683Z CTestTestfile.cmake cpu_rng_test 2025-12-04T10:01:39.4760304Z CppSignature_test dlconvertor_test 2025-12-04T10:01:39.4760846Z Dict_test example_allreduce 2025-12-04T10:01:39.4761207Z Dimname_test extension_backend_test 2025-12-04T10:01:39.4761583Z FileStoreTest half_test 2025-12-04T10:01:39.4761985Z HashStoreTest inline_container_test 2025-12-04T10:01:39.4762392Z IListRef_test ivalue_test 2025-12-04T10:01:39.4762816Z KernelFunction_test kernel_function_legacy_test 2025-12-04T10:01:39.4763220Z List_test kernel_function_test 2025-12-04T10:01:39.4763585Z MaybeOwned_test kernel_lambda_legacy_test 2025-12-04T10:01:39.4763991Z NamedTensor_test kernel_lambda_test 2025-12-04T10:01:39.4764375Z ProcessGroupGlooTest kernel_stackbased_test 2025-12-04T10:01:39.4764770Z StorageUtils_test lazy_tensor_test 2025-12-04T10:01:39.4765110Z TCPStoreTest legacy_vmap_test 2025-12-04T10:01:39.4765420Z apply_utils_test libc10.so 2025-12-04T10:01:39.4765737Z atest 'libcaffe2*' 2025-12-04T10:01:39.4766024Z backend_fallback_test 'libmkldnn*' 2025-12-04T10:01:39.4766346Z basic 'libnccl*' 2025-12-04T10:01:39.4766621Z broadcast_test libtorch.so 2025-12-04T10:01:39.4767128Z c10_AllocatorConfig_test libtorch_cpu.so 2025-12-04T10:01:39.4767520Z c10_ArrayRef_test libtorch_global_deps.so 2025-12-04T10:01:39.4767891Z c10_Bitset_test libtorch_python.so 2025-12-04T10:01:39.4768296Z c10_CompileTimeFunctionPointer_test libtorchbind_test.so 2025-12-04T10:01:39.4768807Z c10_ConstexprCrc_test make_boxed_from_unboxed_functor_test 2025-12-04T10:01:39.4769272Z c10_DeadlockDetection_test math_kernel_test 2025-12-04T10:01:39.4769721Z c10_DeviceGuard_test memory_format_test 2025-12-04T10:01:39.4770098Z c10_Device_test memory_overlapping_test 2025-12-04T10:01:39.4770499Z c10_DispatchKeySet_test mobile_memory_cleanup 2025-12-04T10:01:39.4770861Z c10_Enumerate_test native_test 2025-12-04T10:01:39.4771246Z c10_Half_test op_allowlist_test 2025-12-04T10:01:39.4771676Z c10_InlineDeviceGuard_test op_registration_test 2025-12-04T10:01:39.4772105Z c10_InlineStreamGuard_test operator_name_test 2025-12-04T10:01:39.4772487Z c10_IntrusiveList_test operators_test 2025-12-04T10:01:39.4772883Z c10_LeftRight_test packedtensoraccessor_test 2025-12-04T10:01:39.4773283Z c10_NetworkFlow_test parallel_benchmark 2025-12-04T10:01:39.4773619Z c10_Scalar_test pow_test 2025-12-04T10:01:39.4773923Z c10_Semaphore_test protoc 2025-12-04T10:01:39.4774262Z c10_SizesAndStrides_test protoc-3.13.0.0 2025-12-04T10:01:39.4774620Z c10_StreamGuard_test quantized_test 2025-12-04T10:01:39.4774962Z c10_SymInt_test reduce_ops_test 2025-12-04T10:01:39.4775333Z c10_Synchronized_test reportMemoryUsage_test 2025-12-04T10:01:39.4775727Z c10_ThreadLocal_test scalar_tensor_test 2025-12-04T10:01:39.4776066Z c10_TypeIndex_test scalar_test 2025-12-04T10:01:39.4776415Z c10_accumulate_test static_runtime_bench 2025-12-04T10:01:39.4776788Z c10_bfloat16_test static_runtime_test 2025-12-04T10:01:39.4777157Z c10_bit_cast_test stride_properties_test 2025-12-04T10:01:39.4777529Z c10_complex_math_test tensor_iterator_test 2025-12-04T10:01:39.4777902Z c10_complex_test test_aoti_abi_check 2025-12-04T10:01:39.4778232Z c10_cow_test test_api 2025-12-04T10:01:39.4778529Z c10_error_test test_cpp_rpc 2025-12-04T10:01:39.4778859Z c10_exception_test test_dist_autograd 2025-12-04T10:01:39.4779197Z c10_flags_test test_jit 2025-12-04T10:01:39.4779497Z c10_generic_math_test test_lazy 2025-12-04T10:01:39.4779849Z c10_intrusive_ptr_benchmark test_parallel 2025-12-04T10:01:39.4780219Z c10_intrusive_ptr_test test_vec_half_AVX2 2025-12-04T10:01:39.4780589Z c10_irange_test test_vec_half_AVX512 2025-12-04T10:01:39.4780940Z c10_lazy_test test_vec_half_DEFAULT 2025-12-04T10:01:39.4781290Z c10_logging_test thread_init_test 2025-12-04T10:01:39.4781616Z c10_nofatal_test torch_shm_manager 2025-12-04T10:01:39.4781955Z c10_optional_test type_ptr_test 2025-12-04T10:01:39.4782314Z c10_ordered_preserving_dict_test type_test 2025-12-04T10:01:39.4782692Z c10_registry_test undefined_tensor_test 2025-12-04T10:01:39.4783075Z c10_small_vector_test vec_test_all_types_AVX2 2025-12-04T10:01:39.4783473Z c10_ssize_test vec_test_all_types_AVX512 2025-12-04T10:01:39.4783882Z c10_string_util_test vec_test_all_types_DEFAULT 2025-12-04T10:01:39.4784280Z c10_string_view_test verify_api_visibility 2025-12-04T10:01:39.4784650Z c10_tempfile_test weakref_test 2025-12-04T10:01:39.4784977Z c10_typeid_test wrapdim_test 2025-12-04T10:01:39.4785297Z cmake_install.cmake xla_tensor_test 2025-12-04T10:01:39.4785627Z cpu_allocator_test 2025-12-04T10:01:39.4785886Z + aten/tools/run_tests.sh build/bin 2025-12-04T10:01:39.4801665Z + set -e 2025-12-04T10:01:39.4804530Z ++ dirname aten/tools/run_tests.sh 2025-12-04T10:01:39.4826002Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2025-12-04T10:01:39.4826646Z + export CPP_TESTS_DIR=build/bin 2025-12-04T10:01:39.4826948Z + CPP_TESTS_DIR=build/bin 2025-12-04T10:01:39.4827216Z + VALGRIND=ON 2025-12-04T10:01:39.4829242Z + 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 2025-12-04T10:01:44.1558729Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:01:44.1698702Z Found test times from artifacts 2025-12-04T10:01:44.2163717Z Found test times from artifacts 2025-12-04T10:01:44.2175237Z Running all tests 2025-12-04T10:01:44.2179935Z Running parallel tests on 3 processes 2025-12-04T10:01:44.2181843Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:01:44.2182248Z Serial tests (0): 2025-12-04T10:01:44.2182499Z Parallel tests (19): 2025-12-04T10:01:44.2182773Z cpp/Dict_test 1/1 2025-12-04T10:01:44.2183016Z cpp/Dimname_test 1/1 2025-12-04T10:01:44.2183296Z cpp/NamedTensor_test 1/1 2025-12-04T10:01:44.2183581Z cpp/apply_utils_test 1/1 2025-12-04T10:01:44.2183843Z cpp/atest 1/1 2025-12-04T10:01:44.2184084Z cpp/basic 1/1 2025-12-04T10:01:44.2184320Z cpp/broadcast_test 1/1 2025-12-04T10:01:44.2184592Z cpp/cpu_generator_test 1/1 2025-12-04T10:01:44.2184880Z cpp/dlconvertor_test 1/1 2025-12-04T10:01:44.2185169Z cpp/extension_backend_test 1/1 2025-12-04T10:01:44.2185469Z cpp/lazy_tensor_test 1/1 2025-12-04T10:01:44.2185741Z cpp/legacy_vmap_test 1/1 2025-12-04T10:01:44.2186018Z cpp/native_test 1/1 2025-12-04T10:01:44.2186284Z cpp/operators_test 1/1 2025-12-04T10:01:44.2186548Z cpp/scalar_tensor_test 1/1 2025-12-04T10:01:44.2186830Z cpp/scalar_test 1/1 2025-12-04T10:01:44.2187107Z cpp/tensor_iterator_test 1/1 2025-12-04T10:01:44.2187485Z cpp/undefined_tensor_test 1/1 2025-12-04T10:01:44.2187906Z cpp/wrapdim_test 1/1 2025-12-04T10:01:44.2188223Z Name: excluded (est. time: 0.0min) 2025-12-04T10:01:44.2188638Z Serial tests (0): 2025-12-04T10:01:44.2188915Z Parallel tests (0): 2025-12-04T10:01:44.2189356Z Running cpp/Dict_test 1/1 ... [2025-12-04 10:01:44.218672][6643.849635121] 2025-12-04T10:01:44.2189807Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:44.2192964Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:01:44.219096] 2025-12-04T10:01:51.4987781Z 2025-12-04T10:01:51.4988641Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_0211b0ae374c83d1_.log 2025-12-04T10:01:51.4989331Z 2025-12-04T10:01:51.4989605Z Finished cpp/Dict_test 1/1 ... [2025-12-04 10:01:51.498483][6651.129443756], took 0.12min 2025-12-04T10:01:52.4033042Z Uploading artifacts took 0.90 seconds 2025-12-04T10:01:52.4033784Z Running cpp/Dimname_test 1/1 ... [2025-12-04 10:01:52.403088][6652.03404817] 2025-12-04T10:01:52.4034516Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:52.4039029Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:01:52.403611] 2025-12-04T10:01:59.2297344Z 2025-12-04T10:01:59.2298283Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_98cd89bc066047b6_.log 2025-12-04T10:01:59.2298959Z 2025-12-04T10:01:59.2299279Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 10:01:59.229542][6658.860504291], took 0.11min 2025-12-04T10:01:59.2359052Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 10:01:59.235702][6658.866665345] 2025-12-04T10:01:59.2359577Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:59.2362685Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:01:59.236039] 2025-12-04T10:02:06.0612521Z 2025-12-04T10:02:06.0613435Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_e75ed1d8dc459b55_.log 2025-12-04T10:02:06.0614137Z 2025-12-04T10:02:06.0614596Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 10:02:06.061050][6665.69201242], took 0.11min 2025-12-04T10:02:06.0672534Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 10:02:06.067078][6665.698040884] 2025-12-04T10:02:06.0673078Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:06.0676023Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:02:06.067425] 2025-12-04T10:02:12.9440382Z 2025-12-04T10:02:12.9441638Z 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_e7da9bd133b9b6af_.log 2025-12-04T10:02:12.9442318Z 2025-12-04T10:02:12.9442625Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 10:02:12.943842][6672.574803745], took 0.11min 2025-12-04T10:02:12.9502068Z Running cpp/atest 1/1 ... [2025-12-04 10:02:12.949980][6672.580944424] 2025-12-04T10:02:12.9502717Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:12.9505844Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:02:12.950347] 2025-12-04T10:02:19.8256711Z 2025-12-04T10:02:19.8257704Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_93c7b1fd12fe5010_.log 2025-12-04T10:02:19.8258522Z 2025-12-04T10:02:19.8258777Z Finished cpp/atest 1/1 ... [2025-12-04 10:02:19.825473][6679.456433715], took 0.11min 2025-12-04T10:02:19.8320913Z Running cpp/basic 1/1 ... [2025-12-04 10:02:19.831908][6679.462872297] 2025-12-04T10:02:19.8321383Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:19.8324411Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:02:19.832277] 2025-12-04T10:02:26.6080580Z 2025-12-04T10:02:26.6081494Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_e07cc930c3065fae_.log 2025-12-04T10:02:26.6082408Z 2025-12-04T10:02:26.6082890Z Finished cpp/basic 1/1 ... [2025-12-04 10:02:26.607807][6686.23876769], took 0.11min 2025-12-04T10:02:26.6141683Z Running cpp/broadcast_test 1/1 ... [2025-12-04 10:02:26.613939][6686.244902409] 2025-12-04T10:02:26.6142441Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:26.6145329Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:02:26.614298] 2025-12-04T10:02:33.3893788Z 2025-12-04T10:02:33.3894700Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_6d247f57caa76345_.log 2025-12-04T10:02:33.3895373Z 2025-12-04T10:02:33.3895651Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 10:02:33.389165][6693.020126144], took 0.11min 2025-12-04T10:02:33.3954760Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 10:02:33.395255][6693.026218517] 2025-12-04T10:02:33.3955284Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:33.3958242Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:02:33.395627] 2025-12-04T10:02:40.2232749Z 2025-12-04T10:02:40.2233640Z 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_e406315ea8717c5d_.log 2025-12-04T10:02:40.2234367Z 2025-12-04T10:02:40.2234950Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 10:02:40.223096][6699.854058199], took 0.11min 2025-12-04T10:02:40.2293483Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 10:02:40.229185][6699.860148775] 2025-12-04T10:02:40.2293953Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:40.2297133Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:02:40.229529] 2025-12-04T10:02:47.0561477Z 2025-12-04T10:02:47.0562402Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_6f7534c2a0e36cf2_.log 2025-12-04T10:02:47.0563097Z 2025-12-04T10:02:47.0563482Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 10:02:47.055930][6706.686888978], took 0.11min 2025-12-04T10:02:47.0624396Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 10:02:47.062232][6706.693196607] 2025-12-04T10:02:47.0624921Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:47.0627901Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:02:47.062604] 2025-12-04T10:02:53.8388673Z 2025-12-04T10:02:53.8389781Z 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_fb30e59c30ab5806_.log 2025-12-04T10:02:53.8390905Z 2025-12-04T10:02:53.8391267Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 10:02:53.838680][6713.469639346], took 0.11min 2025-12-04T10:02:53.8450335Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:02:53.844854][6713.475817616] 2025-12-04T10:02:53.8450836Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:53.8454497Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:02:53.845239] 2025-12-04T10:03:00.5720451Z 2025-12-04T10:03:00.5721374Z 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_bed2101682ee9e54_.log 2025-12-04T10:03:00.5722062Z 2025-12-04T10:03:00.5722347Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:03:00.571869][6720.202830207], took 0.11min 2025-12-04T10:03:00.5781437Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:03:00.577971][6720.208934551] 2025-12-04T10:03:00.5781922Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:00.5785096Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:03:00.578331] 2025-12-04T10:03:07.4041033Z 2025-12-04T10:03:07.4042054Z 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_49ccbc44884c1650_.log 2025-12-04T10:03:07.4042758Z 2025-12-04T10:03:07.4043056Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:03:07.403876][6727.034836985], took 0.11min 2025-12-04T10:03:07.4102439Z Running cpp/native_test 1/1 ... [2025-12-04 10:03:07.410033][6727.040995895] 2025-12-04T10:03:07.4102901Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:07.4106121Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:03:07.410419] 2025-12-04T10:03:14.1356334Z 2025-12-04T10:03:14.1357219Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_da06c6054ed844fb_.log 2025-12-04T10:03:14.1357871Z 2025-12-04T10:03:14.1358131Z Finished cpp/native_test 1/1 ... [2025-12-04 10:03:14.135438][6733.766398142], took 0.11min 2025-12-04T10:03:14.1416751Z Running cpp/operators_test 1/1 ... [2025-12-04 10:03:14.141492][6733.772456214] 2025-12-04T10:03:14.1417230Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:14.1420426Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:03:14.141828] 2025-12-04T10:03:21.0173127Z 2025-12-04T10:03:21.0174621Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_50d28a046bed3e23_.log 2025-12-04T10:03:21.0175293Z 2025-12-04T10:03:21.0175593Z Finished cpp/operators_test 1/1 ... [2025-12-04 10:03:21.017128][6740.648088891], took 0.11min 2025-12-04T10:03:21.0235444Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:03:21.023282][6740.654245966] 2025-12-04T10:03:21.0236265Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:21.0239893Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:03:21.023718] 2025-12-04T10:03:27.8992436Z 2025-12-04T10:03:27.8993410Z 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_cd495bf4e78b2ed2_.log 2025-12-04T10:03:27.8994163Z 2025-12-04T10:03:27.8994474Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:03:27.899049][6747.529993769], took 0.11min 2025-12-04T10:03:27.9053237Z Running cpp/scalar_test 1/1 ... [2025-12-04 10:03:27.905148][6747.536111971] 2025-12-04T10:03:27.9053746Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:27.9057017Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:03:27.905525] 2025-12-04T10:03:34.7372447Z 2025-12-04T10:03:34.7373289Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_f5666faad0da24fe_.log 2025-12-04T10:03:34.7373945Z 2025-12-04T10:03:34.7374227Z Finished cpp/scalar_test 1/1 ... [2025-12-04 10:03:34.737045][6754.368006503], took 0.11min 2025-12-04T10:03:34.7432878Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:03:34.743102][6754.374065497] 2025-12-04T10:03:34.7433393Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:34.7436217Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:03:34.743441] 2025-12-04T10:03:41.6186315Z 2025-12-04T10:03:41.6187270Z 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_b38711df54228e2e_.log 2025-12-04T10:03:41.6188010Z 2025-12-04T10:03:41.6188320Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:03:41.618447][6761.249406914], took 0.11min 2025-12-04T10:03:41.6247182Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:03:41.624548][6761.255512532] 2025-12-04T10:03:41.6247749Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:41.6250855Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:03:41.624906] 2025-12-04T10:03:48.4514310Z 2025-12-04T10:03:48.4515446Z 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_1552d3080e04dcd5_.log 2025-12-04T10:03:48.4516242Z 2025-12-04T10:03:48.4516568Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:03:48.451228][6768.082188743], took 0.11min 2025-12-04T10:03:48.4574164Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 10:03:48.457254][6768.088218664] 2025-12-04T10:03:48.4574638Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:48.4577968Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:03:48.457609] 2025-12-04T10:03:55.1827381Z 2025-12-04T10:03:55.1828256Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_866224b70429421e_.log 2025-12-04T10:03:55.1829256Z 2025-12-04T10:03:55.1829537Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 10:03:55.182543][6774.813501446], took 0.11min 2025-12-04T10:03:57.9640704Z Running cpp/Dict_test 1/1 ... [2025-12-04 10:03:57.963695][6777.594656859] 2025-12-04T10:03:57.9641199Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:57.9644315Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:03:57.964148] 2025-12-04T10:03:57.9694050Z Running cpp/Dimname_test 1/1 ... [2025-12-04 10:03:57.969175][6777.600136463] 2025-12-04T10:03:57.9694527Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:57.9698271Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:03:57.969600] 2025-12-04T10:03:57.9794985Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 10:03:57.979256][6777.6102164] 2025-12-04T10:03:57.9795485Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:57.9798919Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:03:57.979681] 2025-12-04T10:04:09.2077641Z 2025-12-04T10:04:09.2078827Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_540b33d176c7eb52_.log 2025-12-04T10:04:09.2079810Z 2025-12-04T10:04:09.2080199Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 10:04:09.207556][6788.838515447], took 0.19min 2025-12-04T10:04:09.6684981Z 2025-12-04T10:04:09.6686271Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_878cb94c13eddca7_.log 2025-12-04T10:04:09.6687369Z 2025-12-04T10:04:09.6687816Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 10:04:09.668118][6789.299079148], took 0.19min 2025-12-04T10:04:13.3662552Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 10:04:13.365892][6792.996853398] 2025-12-04T10:04:13.3663077Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:13.3665416Z 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 10:04:13.366293] 2025-12-04T10:04:13.4162046Z 2025-12-04T10:04:13.4163355Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_85b8f985f9fbe1ce_.log 2025-12-04T10:04:13.4164572Z 2025-12-04T10:04:13.4165680Z Finished cpp/Dict_test 1/1 ... [2025-12-04 10:04:13.416353][6793.047312402], took 0.26min 2025-12-04T10:04:13.7196789Z Running cpp/atest 1/1 ... [2025-12-04 10:04:13.719269][6793.350230398] 2025-12-04T10:04:13.7197612Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:13.7199628Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:04:13.719679] 2025-12-04T10:04:17.3390111Z Running cpp/basic 1/1 ... [2025-12-04 10:04:17.338470][6796.969428256] 2025-12-04T10:04:17.3391020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:17.3397028Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:04:17.339278] 2025-12-04T10:04:23.7535436Z 2025-12-04T10:04:23.7536944Z 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_cdc8f1ee208ff452_.log 2025-12-04T10:04:23.7551533Z 2025-12-04T10:04:23.7556649Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 10:04:23.755015][6803.385971172], took 0.17min 2025-12-04T10:04:25.3573288Z 2025-12-04T10:04:25.3574988Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_33486d065e179e17_.log 2025-12-04T10:04:25.3576096Z 2025-12-04T10:04:25.3576799Z Finished cpp/atest 1/1 ... [2025-12-04 10:04:25.357322][6804.988278517], took 0.19min 2025-12-04T10:04:28.0766925Z Running cpp/broadcast_test 1/1 ... [2025-12-04 10:04:28.076282][6807.707243158] 2025-12-04T10:04:28.0767751Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:28.0769440Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:04:28.076724] 2025-12-04T10:04:28.3951061Z 2025-12-04T10:04:28.3952230Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_2d7d77bc14e27ca0_.log 2025-12-04T10:04:28.3953322Z 2025-12-04T10:04:28.3953738Z Finished cpp/basic 1/1 ... [2025-12-04 10:04:28.395028][6808.025985438], took 0.18min 2025-12-04T10:04:29.4255159Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 10:04:29.425083][6809.056044405] 2025-12-04T10:04:29.4255755Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:29.4257933Z 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 10:04:29.425523] 2025-12-04T10:04:31.9026770Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 10:04:31.902212][6811.533173639] 2025-12-04T10:04:31.9027644Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:31.9031273Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:04:31.902666] 2025-12-04T10:04:37.9620089Z 2025-12-04T10:04:37.9621548Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_2ba1feed5a0ed09a_.log 2025-12-04T10:04:37.9627753Z 2025-12-04T10:04:37.9628397Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 10:04:37.962229][6817.593183506], took 0.16min 2025-12-04T10:04:41.5226563Z 2025-12-04T10:04:41.5227859Z 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_2d0c7f38ff9ae110_.log 2025-12-04T10:04:41.5228555Z 2025-12-04T10:04:41.5228862Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 10:04:41.522268][6821.153231346], took 0.20min 2025-12-04T10:04:41.9877852Z 2025-12-04T10:04:41.9879139Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_133187648b3b6cdb_.log 2025-12-04T10:04:41.9880191Z 2025-12-04T10:04:41.9880655Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 10:04:41.987800][6821.618758254], took 0.17min 2025-12-04T10:04:42.2365741Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 10:04:42.236131][6821.867091802] 2025-12-04T10:04:42.2366694Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:42.2368999Z 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 10:04:42.236606] 2025-12-04T10:04:45.0160938Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:04:45.015652][6824.646613248] 2025-12-04T10:04:45.0161852Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:45.0164575Z 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 10:04:45.016115] 2025-12-04T10:04:45.6197602Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:04:45.619302][6825.250263997] 2025-12-04T10:04:45.6198514Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:45.6201575Z 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 10:04:45.619807] 2025-12-04T10:04:51.7716369Z 2025-12-04T10:04:51.7717771Z 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_ad2d0cd6a5b1950e_.log 2025-12-04T10:04:51.7719480Z 2025-12-04T10:04:51.7720126Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 10:04:51.771522][6831.402479374], took 0.16min 2025-12-04T10:04:55.8051586Z 2025-12-04T10:04:55.8052668Z 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_a1627d99abead203_.log 2025-12-04T10:04:55.8053397Z 2025-12-04T10:04:55.8055202Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:04:55.805033][6835.435992251], took 0.18min 2025-12-04T10:04:56.1159041Z Running cpp/native_test 1/1 ... [2025-12-04 10:04:56.115487][6835.746444122] 2025-12-04T10:04:56.1159795Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:56.1162764Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:04:56.116004] 2025-12-04T10:04:57.3165592Z 2025-12-04T10:04:57.3166993Z 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_425432249c02d469_.log 2025-12-04T10:04:57.3168204Z 2025-12-04T10:04:57.3168725Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:04:57.316466][6836.947427577], took 0.19min 2025-12-04T10:04:59.5484476Z Running cpp/operators_test 1/1 ... [2025-12-04 10:04:59.547911][6839.1788688] 2025-12-04T10:04:59.5485464Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:59.5489527Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:04:59.548522] 2025-12-04T10:05:00.9463150Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:05:00.945877][6840.576838098] 2025-12-04T10:05:00.9463964Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:00.9467918Z 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 10:05:00.946374] 2025-12-04T10:05:05.7997124Z 2025-12-04T10:05:05.7998387Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_207b46544acf811c_.log 2025-12-04T10:05:05.8004549Z 2025-12-04T10:05:05.8005187Z Finished cpp/native_test 1/1 ... [2025-12-04 10:05:05.799441][6845.430401122], took 0.16min 2025-12-04T10:05:09.2535312Z 2025-12-04T10:05:09.2536909Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_f0824898830c5d92_.log 2025-12-04T10:05:09.2538066Z 2025-12-04T10:05:09.2538531Z Finished cpp/operators_test 1/1 ... [2025-12-04 10:05:09.253214][6848.884172148], took 0.16min 2025-12-04T10:05:10.4128042Z Running cpp/scalar_test 1/1 ... [2025-12-04 10:05:10.412391][6850.043351386] 2025-12-04T10:05:10.4128916Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:10.4130998Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:05:10.412832] 2025-12-04T10:05:10.9818967Z 2025-12-04T10:05:10.9820085Z 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_898185f3fa7291e1_.log 2025-12-04T10:05:10.9820995Z 2025-12-04T10:05:10.9821430Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:05:10.981742][6850.612699492], took 0.17min 2025-12-04T10:05:13.0406454Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:05:13.040159][6852.671121011] 2025-12-04T10:05:13.0407356Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:13.0409731Z 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 10:05:13.040595] 2025-12-04T10:05:14.5972056Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:05:14.596668][6854.227628744] 2025-12-04T10:05:14.5973031Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:14.5975547Z 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 10:05:14.597180] 2025-12-04T10:05:20.5976333Z 2025-12-04T10:05:20.5977646Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_e5919fd81af326b4_.log 2025-12-04T10:05:20.5978819Z 2025-12-04T10:05:20.5983438Z Finished cpp/scalar_test 1/1 ... [2025-12-04 10:05:20.597257][6860.228213412], took 0.17min 2025-12-04T10:05:24.8824234Z 2025-12-04T10:05:24.8827228Z 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_86de67836ddeaa45_.log 2025-12-04T10:05:24.8828586Z 2025-12-04T10:05:24.8829298Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:05:24.882344][6864.513302455], took 0.17min 2025-12-04T10:05:25.1459755Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 10:05:25.145505][6864.776466542] 2025-12-04T10:05:25.1460498Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:25.1463870Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '-x', '--reruns=2'] ... [2025-12-04 10:05:25.146001] 2025-12-04T10:05:30.1529471Z 2025-12-04T10:05:30.1530933Z 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_cb38e7644786ea06_.log 2025-12-04T10:05:30.1532520Z 2025-12-04T10:05:30.1533318Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:05:30.153039][6869.783998541], took 0.29min 2025-12-04T10:05:33.5305713Z 2025-12-04T10:05:33.5307191Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_f6ad901afb54fcbf_.log 2025-12-04T10:05:33.5307931Z 2025-12-04T10:05:33.5308214Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 10:05:33.530505][6873.161464555], took 0.14min 2025-12-04T10:05:34.3976419Z Running test batch 'tests to run' cost 230.18 seconds 2025-12-04T10:05:35.0168830Z + run_if_exists tensor_interop_test 2025-12-04T10:05:35.0169525Z + local test_name=tensor_interop_test 2025-12-04T10:05:35.0170068Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T10:05:35.0170593Z + echo 'Warning: tensor_interop_test does not exist.' 2025-12-04T10:05:35.0171179Z Warning: tensor_interop_test does not exist. 2025-12-04T10:05:35.0171727Z + run_if_exists cudnn_test 2025-12-04T10:05:35.0172166Z + local test_name=cudnn_test 2025-12-04T10:05:35.0172582Z + [[ -x build/bin/cudnn_test ]] 2025-12-04T10:05:35.0173038Z + echo 'Warning: cudnn_test does not exist.' 2025-12-04T10:05:35.0173556Z Warning: cudnn_test does not exist. 2025-12-04T10:05:35.0173868Z + run_if_exists cuda_generator_test 2025-12-04T10:05:35.0174213Z + local test_name=cuda_generator_test 2025-12-04T10:05:35.0174674Z + [[ -x build/bin/cuda_generator_test ]] 2025-12-04T10:05:35.0175151Z + echo 'Warning: cuda_generator_test does not exist.' 2025-12-04T10:05:35.0175609Z Warning: cuda_generator_test does not exist. 2025-12-04T10:05:35.0175996Z + run_if_exists apply_test 2025-12-04T10:05:35.0176280Z + local test_name=apply_test 2025-12-04T10:05:35.0176558Z + [[ -x build/bin/apply_test ]] 2025-12-04T10:05:35.0176877Z + echo 'Warning: apply_test does not exist.' 2025-12-04T10:05:35.0177225Z Warning: apply_test does not exist. 2025-12-04T10:05:35.0177522Z + run_if_exists stream_test 2025-12-04T10:05:35.0177808Z + local test_name=stream_test 2025-12-04T10:05:35.0178103Z + [[ -x build/bin/stream_test ]] 2025-12-04T10:05:35.0178406Z + echo 'Warning: stream_test does not exist.' 2025-12-04T10:05:35.0178750Z Warning: stream_test does not exist. 2025-12-04T10:05:35.0179066Z + run_if_exists cuda_half_test 2025-12-04T10:05:35.0179348Z + local test_name=cuda_half_test 2025-12-04T10:05:35.0179654Z + [[ -x build/bin/cuda_half_test ]] 2025-12-04T10:05:35.0179989Z + echo 'Warning: cuda_half_test does not exist.' 2025-12-04T10:05:35.0180640Z Warning: cuda_half_test does not exist. 2025-12-04T10:05:35.0180963Z + run_if_exists cuda_vectorized_test 2025-12-04T10:05:35.0181314Z + local test_name=cuda_vectorized_test 2025-12-04T10:05:35.0181642Z + [[ -x build/bin/cuda_vectorized_test ]] 2025-12-04T10:05:35.0182005Z + echo 'Warning: cuda_vectorized_test does not exist.' 2025-12-04T10:05:35.0182404Z Warning: cuda_vectorized_test does not exist. 2025-12-04T10:05:35.0182760Z + run_if_exists cuda_distributions_test 2025-12-04T10:05:35.0183167Z + local test_name=cuda_distributions_test 2025-12-04T10:05:35.0183505Z + [[ -x build/bin/cuda_distributions_test ]] 2025-12-04T10:05:35.0183900Z + echo 'Warning: cuda_distributions_test does not exist.' 2025-12-04T10:05:35.0184384Z Warning: cuda_distributions_test does not exist. 2025-12-04T10:05:35.0184733Z + run_if_exists cuda_optional_test 2025-12-04T10:05:35.0185099Z + local test_name=cuda_optional_test 2025-12-04T10:05:35.0185419Z + [[ -x build/bin/cuda_optional_test ]] 2025-12-04T10:05:35.0185772Z + echo 'Warning: cuda_optional_test does not exist.' 2025-12-04T10:05:35.0186158Z Warning: cuda_optional_test does not exist. 2025-12-04T10:05:35.0186505Z + run_if_exists cuda_tensor_interop_test 2025-12-04T10:05:35.0186846Z + local test_name=cuda_tensor_interop_test 2025-12-04T10:05:35.0187181Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2025-12-04T10:05:35.0187581Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2025-12-04T10:05:35.0188006Z Warning: cuda_tensor_interop_test does not exist. 2025-12-04T10:05:35.0188354Z + run_if_exists cuda_complex_test 2025-12-04T10:05:35.0188659Z + local test_name=cuda_complex_test 2025-12-04T10:05:35.0188974Z + [[ -x build/bin/cuda_complex_test ]] 2025-12-04T10:05:35.0189392Z + echo 'Warning: cuda_complex_test does not exist.' 2025-12-04T10:05:35.0189780Z Warning: cuda_complex_test does not exist. 2025-12-04T10:05:35.0190126Z + run_if_exists cuda_complex_math_test 2025-12-04T10:05:35.0190653Z + local test_name=cuda_complex_math_test 2025-12-04T10:05:35.0191001Z + [[ -x build/bin/cuda_complex_math_test ]] 2025-12-04T10:05:35.0191393Z + echo 'Warning: cuda_complex_math_test does not exist.' 2025-12-04T10:05:35.0191808Z Warning: cuda_complex_math_test does not exist. 2025-12-04T10:05:35.0192150Z + run_if_exists cuda_cub_test 2025-12-04T10:05:35.0192444Z + local test_name=cuda_cub_test 2025-12-04T10:05:35.0192738Z + [[ -x build/bin/cuda_cub_test ]] 2025-12-04T10:05:35.0193054Z + echo 'Warning: cuda_cub_test does not exist.' 2025-12-04T10:05:35.0193410Z Warning: cuda_cub_test does not exist. 2025-12-04T10:05:35.0193735Z + run_if_exists cuda_atomic_ops_test 2025-12-04T10:05:35.0194041Z + local test_name=cuda_atomic_ops_test 2025-12-04T10:05:35.0194363Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2025-12-04T10:05:35.0194735Z + echo 'Warning: cuda_atomic_ops_test does not exist.' 2025-12-04T10:05:35.0195118Z Warning: cuda_atomic_ops_test does not exist. 2025-12-04T10:05:35.0195466Z + run_if_exists cuda_allocator_test 2025-12-04T10:05:35.0195780Z + local test_name=cuda_allocator_test 2025-12-04T10:05:35.0196107Z + [[ -x build/bin/cuda_allocator_test ]] 2025-12-04T10:05:35.0196459Z + echo 'Warning: cuda_allocator_test does not exist.' 2025-12-04T10:05:35.0196848Z Warning: cuda_allocator_test does not exist. 2025-12-04T10:05:35.0197172Z + '[' ON == ON ']' 2025-12-04T10:05:35.0197864Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA' 2025-12-04T10:05:35.0461453Z ==9122== Memcheck, a memory error detector 2025-12-04T10:05:35.0461935Z ==9122== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al. 2025-12-04T10:05:35.0462494Z ==9122== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info 2025-12-04T10:05:35.0462985Z ==9122== Command: build/bin/basic --gtest_filter=-*CUDA 2025-12-04T10:05:35.0463338Z ==9122== 2025-12-04T10:05:35.5549933Z ==9122== Warning: set address range perms: large range [0x4a13000, 0x19ca2000) (defined) 2025-12-04T10:05:35.5550829Z ==9122== Warning: set address range perms: large range [0x5cf4000, 0x16cf4000) (defined) 2025-12-04T10:05:59.0292483Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2025-12-04T10:05:59.0583225Z Note: Google Test filter = -*CUDA 2025-12-04T10:05:59.0646301Z [==========] Running 6 tests from 1 test suite. 2025-12-04T10:05:59.0673311Z [----------] Global test environment set-up. 2025-12-04T10:05:59.0740939Z [----------] 6 tests from BasicTest 2025-12-04T10:05:59.0764794Z [ RUN ] BasicTest.BasicTestCPU 2025-12-04T10:06:00.4178541Z 467 ms 2025-12-04T10:06:00.4956030Z 49 ms 2025-12-04T10:06:00.5590073Z 56 ms 2025-12-04T10:06:01.2781747Z [ OK ] BasicTest.BasicTestCPU (2199 ms) 2025-12-04T10:06:01.2895751Z [ RUN ] BasicTest.BasicTestHalfCPU 2025-12-04T10:06:01.5002556Z 166 ms 2025-12-04T10:06:01.5471896Z 41 ms 2025-12-04T10:06:01.6049437Z 55 ms 2025-12-04T10:06:01.6522874Z [ OK ] BasicTest.BasicTestHalfCPU (362 ms) 2025-12-04T10:06:01.6534098Z [ RUN ] BasicTest.FactoryMethodsTest 2025-12-04T10:06:01.6835303Z [ OK ] BasicTest.FactoryMethodsTest (30 ms) 2025-12-04T10:06:01.6835990Z [ RUN ] BasicTest.BasicStdTestCPU 2025-12-04T10:06:01.7618485Z Simple example: called once 2025-12-04T10:06:01.8468977Z throw: call_once will retry 2025-12-04T10:06:01.8861041Z throw: call_once will retry 2025-12-04T10:06:01.8865130Z Didn't throw, call_once will not attempt again 2025-12-04T10:06:01.8883996Z [ OK ] BasicTest.BasicStdTestCPU (204 ms) 2025-12-04T10:06:01.8884661Z [ RUN ] BasicTest.TestForBlobResizeCPU 2025-12-04T10:06:01.9046242Z [ OK ] BasicTest.TestForBlobResizeCPU (16 ms) 2025-12-04T10:06:01.9046981Z [ RUN ] BasicTest.TestForBlobStridesResizeCPU 2025-12-04T10:06:01.9073936Z [ OK ] BasicTest.TestForBlobStridesResizeCPU (2 ms) 2025-12-04T10:06:01.9095471Z [----------] 6 tests from BasicTest (2831 ms total) 2025-12-04T10:06:01.9095970Z 2025-12-04T10:06:01.9107389Z [----------] Global test environment tear-down 2025-12-04T10:06:01.9135389Z [==========] 6 tests from 1 test suite ran. (2859 ms total) 2025-12-04T10:06:01.9147733Z [ PASSED ] 6 tests. 2025-12-04T10:06:03.8380759Z ==9122== 2025-12-04T10:06:03.8384080Z ==9122== HEAP SUMMARY: 2025-12-04T10:06:03.8384693Z ==9122== in use at exit: 430,867 bytes in 6,419 blocks 2025-12-04T10:06:03.8385193Z ==9122== total heap usage: 652,079 allocs, 645,660 frees, 198,309,797 bytes allocated 2025-12-04T10:06:03.8385648Z ==9122== 2025-12-04T10:06:03.8818915Z ==9122== LEAK SUMMARY: 2025-12-04T10:06:03.8819382Z ==9122== definitely lost: 0 bytes in 0 blocks 2025-12-04T10:06:03.8819827Z ==9122== indirectly lost: 0 bytes in 0 blocks 2025-12-04T10:06:03.8820327Z ==9122== possibly lost: 69,920 bytes in 2 blocks 2025-12-04T10:06:03.8821151Z ==9122== still reachable: 360,947 bytes in 6,417 blocks 2025-12-04T10:06:03.8821668Z ==9122== suppressed: 0 bytes in 0 blocks 2025-12-04T10:06:03.8822118Z ==9122== Rerun with --leak-check=full to see details of leaked memory 2025-12-04T10:06:03.8822537Z ==9122== 2025-12-04T10:06:03.8822840Z ==9122== For lists of detected and suppressed errors, rerun with: -s 2025-12-04T10:06:03.8823366Z ==9122== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0) 2025-12-04T10:06:03.9238427Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T10:06:03.9240360Z + [[ -n '' ]] 2025-12-04T10:06:03.9240583Z + assert_git_not_dirty 2025-12-04T10:06:03.9240872Z + [[ linux-jammy-py3.10-clang12 != *rocm* ]] 2025-12-04T10:06:03.9241243Z + [[ linux-jammy-py3.10-clang12 != *xla* ]] 2025-12-04T10:06:03.9247647Z ++ git status --porcelain 2025-12-04T10:06:03.9248291Z ++ grep -v '?? third_party' 2025-12-04T10:06:04.2187607Z ++ true 2025-12-04T10:06:04.2188554Z + git_status= 2025-12-04T10:06:04.2188833Z + [[ -n '' ]] 2025-12-04T10:06:04.2271242Z + sccache_epilogue 2025-12-04T10:06:04.2271620Z + echo '::group::Sccache Compilation Log' 2025-12-04T10:06:04.2272338Z ##[group]Sccache Compilation Log 2025-12-04T10:06:04.2272896Z + echo '=================== sccache compilation log ===================' 2025-12-04T10:06:04.2273336Z =================== sccache compilation log =================== 2025-12-04T10:06:04.2273988Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T10:06:04.2401334Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T10:06:04.2402185Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T10:06:04.2402696Z + sccache --show-stats 2025-12-04T10:06:04.2436698Z Compile requests 197 2025-12-04T10:06:04.2437047Z Compile requests executed 82 2025-12-04T10:06:04.2437565Z Cache hits 44 2025-12-04T10:06:04.2437885Z Cache hits (C/C++) 44 2025-12-04T10:06:04.2438306Z Cache misses 37 2025-12-04T10:06:04.2438627Z Cache misses (C/C++) 37 2025-12-04T10:06:04.2439022Z Cache hits rate 54.32 % 2025-12-04T10:06:04.2439467Z Cache hits rate (C/C++) 54.32 % 2025-12-04T10:06:04.2439808Z Cache timeouts 0 2025-12-04T10:06:04.2440185Z Cache read errors 0 2025-12-04T10:06:04.2440492Z Forced recaches 0 2025-12-04T10:06:04.2440864Z Cache write errors 0 2025-12-04T10:06:04.2441183Z Cache errors 0 2025-12-04T10:06:04.2441563Z Compilations 37 2025-12-04T10:06:04.2441880Z Compilation failures 1 2025-12-04T10:06:04.2442313Z Non-cacheable compilations 0 2025-12-04T10:06:04.2442646Z Non-cacheable calls 1 2025-12-04T10:06:04.2443020Z Non-compilation calls 114 2025-12-04T10:06:04.2443361Z Unsupported compiler calls 0 2025-12-04T10:06:04.2443764Z Average cache write 0.037 s 2025-12-04T10:06:04.2444088Z Average compiler 12.405 s 2025-12-04T10:06:04.2444467Z Average cache read hit 0.053 s 2025-12-04T10:06:04.2444816Z Failed distributed compilations 0 2025-12-04T10:06:04.2445041Z 2025-12-04T10:06:04.2445169Z Non-cacheable reasons: 2025-12-04T10:06:04.2445458Z -E 1 2025-12-04T10:06:04.2445685Z 2025-12-04T10:06:04.2445935Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T10:06:04.2446444Z Version (client) 0.10.0 2025-12-04T10:06:04.2446795Z + sccache --stop-server 2025-12-04T10:06:04.2457599Z Stopping sccache server... 2025-12-04T10:06:04.2460664Z Compile requests 197 2025-12-04T10:06:04.2461062Z Compile requests executed 82 2025-12-04T10:06:04.2461443Z Cache hits 44 2025-12-04T10:06:04.2461764Z Cache hits (C/C++) 44 2025-12-04T10:06:04.2462133Z Cache misses 37 2025-12-04T10:06:04.2462445Z Cache misses (C/C++) 37 2025-12-04T10:06:04.2462808Z Cache hits rate 54.32 % 2025-12-04T10:06:04.2463155Z Cache hits rate (C/C++) 54.32 % 2025-12-04T10:06:04.2463605Z Cache timeouts 0 2025-12-04T10:06:04.2464009Z Cache read errors 0 2025-12-04T10:06:04.2464488Z Forced recaches 0 2025-12-04T10:06:04.2464986Z Cache write errors 0 2025-12-04T10:06:04.2465394Z Cache errors 0 2025-12-04T10:06:04.2465761Z Compilations 37 2025-12-04T10:06:04.2466092Z Compilation failures 1 2025-12-04T10:06:04.2466419Z Non-cacheable compilations 0 2025-12-04T10:06:04.2466766Z Non-cacheable calls 1 2025-12-04T10:06:04.2467103Z Non-compilation calls 114 2025-12-04T10:06:04.2467438Z Unsupported compiler calls 0 2025-12-04T10:06:04.2467759Z Average cache write 0.037 s 2025-12-04T10:06:04.2468216Z Average compiler 12.405 s 2025-12-04T10:06:04.2468547Z Average cache read hit 0.053 s 2025-12-04T10:06:04.2468889Z Failed distributed compilations 0 2025-12-04T10:06:04.2469189Z 2025-12-04T10:06:04.2469287Z Non-cacheable reasons: 2025-12-04T10:06:04.2469551Z -E 1 2025-12-04T10:06:04.2469757Z 2025-12-04T10:06:04.2470005Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T10:06:04.2470498Z Version (client) 0.10.0 2025-12-04T10:06:04.2470828Z + echo ::endgroup:: 2025-12-04T10:06:04.2471295Z ##[endgroup] 2025-12-04T10:06:04.2471519Z + cleanup_workspace 2025-12-04T10:06:04.2472025Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T10:06:04.2472895Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T10:06:04.2473543Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T10:06:04.2474018Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T10:06:04.2474561Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T10:06:04.2475173Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T10:06:04.2475662Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T10:06:07.5701002Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T10:06:07.5701495Z with: 2025-12-04T10:06:07.5701738Z benchmark-results-dir: test/test-reports 2025-12-04T10:06:07.5702066Z dry-run: false 2025-12-04T10:06:07.5702306Z schema-version: v3 2025-12-04T10:06:07.5702790Z github-token: *** 2025-12-04T10:06:07.5703014Z env: 2025-12-04T10:06:07.5703238Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:07.5703512Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:07.5703955Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:07.5704469Z ##[endgroup] 2025-12-04T10:06:07.5737529Z ##[group]Run set -eux 2025-12-04T10:06:07.5737817Z set -eux 2025-12-04T10:06:07.5738048Z  2025-12-04T10:06:07.5738254Z if [[ -n "" ]]; then 2025-12-04T10:06:07.5738531Z  source "" 2025-12-04T10:06:07.5738773Z fi 2025-12-04T10:06:07.5739162Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T10:06:07.5739586Z  2025-12-04T10:06:07.5739798Z DEVICE_NAME="" 2025-12-04T10:06:07.5740061Z DEVICE_TYPE="" 2025-12-04T10:06:07.5740310Z  2025-12-04T10:06:07.5740529Z if command -v nvidia-smi; then 2025-12-04T10:06:07.5740998Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T10:06:07.5741604Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T10:06:07.5742146Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T10:06:07.5742589Z  python3 -mpip install torch==2.7.1 2025-12-04T10:06:07.5742941Z elif command -v rocminfo; then 2025-12-04T10:06:07.5743394Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T10:06:07.5743955Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T10:06:07.5744537Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T10:06:07.5745070Z  # GPU device name coming from rocminfo instead 2025-12-04T10:06:07.5745425Z  DEVICE_NAME=rocm 2025-12-04T10:06:07.5745916Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T10:06:07.5746439Z fi 2025-12-04T10:06:07.5746655Z  2025-12-04T10:06:07.5746915Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T10:06:07.5747334Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T10:06:07.5828303Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:07.5828695Z env: 2025-12-04T10:06:07.5828914Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:07.5829272Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:07.5829736Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:07.5830264Z ##[endgroup] 2025-12-04T10:06:07.5863719Z + [[ -n '' ]] 2025-12-04T10:06:07.5864068Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T10:06:07.9003051Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T10:06:09.0100703Z Collecting boto3==1.35.33 2025-12-04T10:06:09.0285333Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T10:06:09.3530504Z Collecting psutil==7.0.0 2025-12-04T10:06:09.3578003Z 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) 2025-12-04T10:06:09.3888621Z Collecting pynvml==12.0.0 2025-12-04T10:06:09.3926591Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T10:06:09.4406686Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T10:06:09.4450706Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T10:06:10.6241959Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T10:06:10.6281693Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T10:06:10.7964377Z 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) 2025-12-04T10:06:10.8403477Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T10:06:10.8443598Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T10:06:10.8528778Z 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) 2025-12-04T10:06:10.8539824Z 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) 2025-12-04T10:06:11.0178945Z 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) 2025-12-04T10:06:11.1566005Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T10:06:11.6724337Z Attempting uninstall: nvidia-ml-py 2025-12-04T10:06:11.6725347Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T10:06:11.6745522Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T10:06:11.6979821Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T10:06:11.7545365Z Attempting uninstall: psutil 2025-12-04T10:06:11.7546137Z Found existing installation: psutil 5.9.8 2025-12-04T10:06:11.7621474Z Uninstalling psutil-5.9.8: 2025-12-04T10:06:11.7636369Z Successfully uninstalled psutil-5.9.8 2025-12-04T10:06:11.9262651Z 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 2025-12-04T10:06:12.0296904Z + DEVICE_NAME= 2025-12-04T10:06:12.0297337Z + DEVICE_TYPE= 2025-12-04T10:06:12.0297703Z + command -v nvidia-smi 2025-12-04T10:06:12.0298155Z + command -v rocminfo 2025-12-04T10:06:12.0298540Z + echo DEVICE_NAME= 2025-12-04T10:06:12.0298928Z + echo DEVICE_TYPE= 2025-12-04T10:06:12.0326440Z ##[group]Run set -eux 2025-12-04T10:06:12.0326714Z set -eux 2025-12-04T10:06:12.0326944Z  2025-12-04T10:06:12.0327178Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T10:06:12.0327548Z  echo "Missing github-token input" 2025-12-04T10:06:12.0327879Z  exit 1 2025-12-04T10:06:12.0328101Z fi 2025-12-04T10:06:12.0334736Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:12.0335137Z env: 2025-12-04T10:06:12.0335358Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:12.0335620Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:12.0336079Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:12.0336588Z DEVICE_NAME: 2025-12-04T10:06:12.0336817Z DEVICE_TYPE: 2025-12-04T10:06:12.0337251Z GITHUB_TOKEN: *** 2025-12-04T10:06:12.0337490Z ##[endgroup] 2025-12-04T10:06:12.0362915Z + [[ -z *** ]] 2025-12-04T10:06:12.0423336Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T10:06:12.0423787Z with: 2025-12-04T10:06:12.0424154Z github-token: *** 2025-12-04T10:06:12.0424378Z env: 2025-12-04T10:06:12.0424597Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:12.0424873Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:12.0425320Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:12.0425918Z DEVICE_NAME: 2025-12-04T10:06:12.0426206Z DEVICE_TYPE: 2025-12-04T10:06:12.0426416Z ##[endgroup] 2025-12-04T10:06:12.0447913Z ##[group]Run set -eux 2025-12-04T10:06:12.0448177Z set -eux 2025-12-04T10:06:12.0448411Z  2025-12-04T10:06:12.0448908Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T10:06:12.0454612Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:12.0454995Z env: 2025-12-04T10:06:12.0455211Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:12.0455471Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:12.0456095Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:12.0456611Z DEVICE_NAME: 2025-12-04T10:06:12.0456839Z DEVICE_TYPE: 2025-12-04T10:06:12.0457202Z GITHUB_TOKEN: *** 2025-12-04T10:06:12.0457439Z ##[endgroup] 2025-12-04T10:06:12.0480940Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19921726337 i-04926a0630d4b7a07 2025-12-04T10:06:15.0196172Z setting job-id=57113020406 2025-12-04T10:06:15.0196717Z setting job-name=linux-jammy-py3.10-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge) 2025-12-04T10:06:15.0319251Z ##[group]Run set -eux 2025-12-04T10:06:15.0319527Z set -eux 2025-12-04T10:06:15.0319754Z  2025-12-04T10:06:15.0319956Z if [[ -n "" ]]; then 2025-12-04T10:06:15.0320236Z  source "" 2025-12-04T10:06:15.0320483Z fi 2025-12-04T10:06:15.0320684Z  2025-12-04T10:06:15.0321098Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T10:06:15.0321632Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T10:06:15.0321975Z  --repo "${REPO}" \ 2025-12-04T10:06:15.0322280Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T10:06:15.0322625Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T10:06:15.0322972Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T10:06:15.0323321Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T10:06:15.0323648Z  --job-id "${JOB_ID}" \ 2025-12-04T10:06:15.0323950Z  --job-name "${JOB_NAME}" 2025-12-04T10:06:15.0329706Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:15.0330093Z env: 2025-12-04T10:06:15.0330313Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:15.0330576Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:15.0331032Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:15.0331558Z DEVICE_NAME: 2025-12-04T10:06:15.0331771Z DEVICE_TYPE: 2025-12-04T10:06:15.0331996Z SCHEMA_VERSION: v3 2025-12-04T10:06:15.0332250Z REPO: pytorch/pytorch 2025-12-04T10:06:15.0332513Z HEAD_BRANCH: refs/heads/main 2025-12-04T10:06:15.0332830Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T10:06:15.0333194Z WORKFLOW_RUN_ID: 19921726337 2025-12-04T10:06:15.0333473Z RUN_ATTEMPT: 1 2025-12-04T10:06:15.0333687Z JOB_ID: 57113020406 2025-12-04T10:06:15.0334097Z JOB_NAME: linux-jammy-py3.10-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge) 2025-12-04T10:06:15.0334570Z ##[endgroup] 2025-12-04T10:06:15.0359347Z + [[ -n '' ]] 2025-12-04T10:06:15.0361819Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 --workflow-id 19921726337 --run-attempt 1 --job-id 57113020406 --job-name 'linux-jammy-py3.10-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge)' 2025-12-04T10:06:15.0685532Z ##[group]Run set -eux 2025-12-04T10:06:15.0685805Z set -eux 2025-12-04T10:06:15.0686038Z  2025-12-04T10:06:15.0686243Z if [[ -n "" ]]; then 2025-12-04T10:06:15.0686601Z  source "" 2025-12-04T10:06:15.0686841Z fi 2025-12-04T10:06:15.0687096Z  2025-12-04T10:06:15.0687494Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T10:06:15.0693630Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:15.0694017Z env: 2025-12-04T10:06:15.0694221Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:15.0694494Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:15.0694960Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:15.0695465Z DEVICE_NAME: 2025-12-04T10:06:15.0695690Z DEVICE_TYPE: 2025-12-04T10:06:15.0696056Z ##[endgroup] 2025-12-04T10:06:15.0719438Z + [[ -n '' ]] 2025-12-04T10:06:15.0720286Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T10:06:15.1131004Z INFO:root:Fail to import torch to get the device name 2025-12-04T10:06:15.1249836Z ##[group]Run set -eux 2025-12-04T10:06:15.1250112Z set -eux 2025-12-04T10:06:15.1250346Z  2025-12-04T10:06:15.1250596Z # TODO (huydhn): Implement this part 2025-12-04T10:06:15.1250990Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T10:06:15.1256479Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:15.1256870Z env: 2025-12-04T10:06:15.1257088Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:15.1257346Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:15.1257805Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:15.1258343Z DEVICE_NAME: 2025-12-04T10:06:15.1258556Z DEVICE_TYPE: 2025-12-04T10:06:15.1258781Z ##[endgroup] 2025-12-04T10:06:15.1281335Z + echo 'dependencies={}' 2025-12-04T10:06:15.1312712Z ##[group]Run set -eux 2025-12-04T10:06:15.1312997Z set -eux 2025-12-04T10:06:15.1313228Z  2025-12-04T10:06:15.1313442Z if [[ -n "" ]]; then 2025-12-04T10:06:15.1313721Z  source "" 2025-12-04T10:06:15.1313970Z fi 2025-12-04T10:06:15.1314179Z  2025-12-04T10:06:15.1314425Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T10:06:15.1314877Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T10:06:15.1315378Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T10:06:15.1315768Z  exit 0 2025-12-04T10:06:15.1315991Z fi 2025-12-04T10:06:15.1316201Z  2025-12-04T10:06:15.1316427Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T10:06:15.1316929Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T10:06:15.1317502Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T10:06:15.1317940Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T10:06:15.1318294Z  --runners "${RUNNER_INFO}" \ 2025-12-04T10:06:15.1318650Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T10:06:15.1318989Z  --dry-run 2025-12-04T10:06:15.1319231Z else 2025-12-04T10:06:15.1319615Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T10:06:15.1320179Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T10:06:15.1320615Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T10:06:15.1320960Z  --runners "${RUNNER_INFO}" \ 2025-12-04T10:06:15.1321310Z  --dependencies "${DEPENDENCIES}" 2025-12-04T10:06:15.1321634Z fi 2025-12-04T10:06:15.1326959Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:15.1327343Z env: 2025-12-04T10:06:15.1327565Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:15.1327827Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:15.1328288Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:15.1328890Z DEVICE_NAME: 2025-12-04T10:06:15.1329173Z DEVICE_TYPE: 2025-12-04T10:06:15.1329417Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T10:06:15.1329736Z DRY_RUN: false 2025-12-04T10:06:15.1331085Z BENCHMARK_METADATA: {"timestamp": 1764842775, "schema_version": "v3", "name": "linux-jammy-py3.10-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19921726337, "run_attempt": 1, "job_id": 57113020406} 2025-12-04T10:06:15.1332954Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-0-56-255.ec2.internal"}, "name": "", "type": ""}] 2025-12-04T10:06:15.1333604Z DEPENDENCIES: {} 2025-12-04T10:06:15.1333850Z ##[endgroup] 2025-12-04T10:06:15.1355857Z + [[ -n '' ]] 2025-12-04T10:06:15.1356121Z + [[ ! -d test/test-reports ]] 2025-12-04T10:06:15.1356418Z + [[ false == \t\r\u\e ]] 2025-12-04T10:06:15.1359279Z + 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": 1764842775, "schema_version": "v3", "name": "linux-jammy-py3.10-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19921726337, "run_attempt": 1, "job_id": 57113020406}' --runners '[{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-0-56-255.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-12-04T10:06:15.3450402Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'test_custom_ops'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'dynamo/test_aot_compile'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'test_ao_sparsity'}, {'test_file': 'test_autograd'}, {'test_file': 'test_torch'}, {'test_file': 'higher_order_ops/test_local_map'}, {'test_file': 'lazy/test_functionalization'}, {'test_file': 'test_utils'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'higher_order_ops/test_print'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'test_file': 'test_fx'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'test_type_hints'}, {'test_file': 'test_linalg'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'test_public_bindings'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'complex_tensor/test_complex_tensor'}, {'test_file': 'test_tensorboard'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'test_jit'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'test_nn'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'test_overrides'}, {'test_file': 'test_reductions'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'doctests'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'test_content_store'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'test_testing'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'dynamo/test_regional_inductor'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'dynamo/test_fx_annotate'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'dynamo/test_streams'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'dynamo/test_profiler'}, {'test_file': 'dynamo/test_guard_serialization'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'dynamo/test_nested_graph_breaks'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'dynamo/test_backward_higher_order_ops'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'dynamo/test_optimizers'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'dynamo/test_wrap_inductor_compiled_regions'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'dynamo/test_tree_map'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'dynamo/test_hooks'}, 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'test_fx_experimental'}, {'test_file': 'functorch/test_ac_knapsack'}, {'test_file': 'torch_np/test_nep50_examples'}, {'test_file': 'xpu/test_gemm'}, {'test_file': 'test_sparse'}, {'test_file': 'test_fx_passes'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'test_namedtensor'}, {'test_file': 'test_tensorexpr'}, {'test_file': 'test_dataloader'}, {'test_file': 'functorch/test_minifier'}, {'test_file': 'higher_order_ops/test_invoke_quant'}, {'test_file': 'torch_np/test_basic'}, {'test_file': 'test_jiterator'}, {'test_file': 'test_native_functions'}, {'test_file': 'test_typing'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'test_weak'}, {'test_file': 'test_decomp'}, {'test_file': 'test_complex'}, {'test_file': 'test_optim'}, {'test_file': 'torch_np/test_random'}, {'test_file': 'nn/test_multihead_attention'}, {'test_file': 'test_legacy_vmap'}, {'test_file': 'lazy/test_bindings'}, {'test_file': 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'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'distributions/test_constraints'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_modules'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'test_numa_binding'}, {'test_file': 'test_pruning_op'}, {'test_file': 'test_autocast'}, {'test_file': 'test_logging'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'nn/test_pruning'}, {'test_file': 'test_monitor'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'torch_np/numpy_tests/core/test_multiarray'}, {'test_file': 'test_itt'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'test_masked'}, {'test_file': 'test_jit_disabled'}, {'test_file': 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'test_dispatch'}, {'test_file': 'test_datapipe'}, {'test_file': 'test_numba_integration'}, {'test_file': 'test_functional_optim'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'test_ops'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'functorch/test_dims'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'test_scaled_matmul_cuda'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'test_vulkan'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'test_shape_ops'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'profiler/test_memory_profiler'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'test_serialization'}, {'test_file': 'optim/test_optim'}, {'test_file': 'test_indexing'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'test_view_ops'}, {'test_file': 'test_type_info'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'test_cuda_multigpu'}, {'test_file': 'test_mkldnn'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'nn/test_embedding'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'test_native_mha'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'test_cuda_nvml_based_avail'}, {'test_file': 'test_function_schema'}, {'test_file': 'test_accelerator'}, {'test_file': 'nn/test_init'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'test_type_promotion'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'test_dlpack'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'test_prims'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility'}, {'test_file': 'test_torchfuzz_repros'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_cpp_extensions_aot_ninja'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}], 'excluded': []} from test/test-reports/td_exclusions-b4177d1ad5432b6bfdce.json is not a benchmark record, skipping 2025-12-04T10:06:15.3501210Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:06:15.3505276Z /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-37050022dac2f88706ae.json is not a benchmark record, skipping 2025-12-04T10:06:15.3509252Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:06:15.3643979Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T10:06:15.3644402Z cat test/**/*_toprint.log || true 2025-12-04T10:06:15.3650119Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:15.3650499Z env: 2025-12-04T10:06:15.3650717Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:15.3650988Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:15.3651434Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:15.3651944Z DEVICE_NAME: 2025-12-04T10:06:15.3652168Z DEVICE_TYPE: 2025-12-04T10:06:15.3652395Z ##[endgroup] 2025-12-04T10:06:15.3740955Z cat: 'test/**/*_toprint.log': No such file or directory 2025-12-04T10:06:15.3776714Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T10:06:15.3777090Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T10:06:15.3782452Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:15.3782827Z env: 2025-12-04T10:06:15.3783042Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:15.3783315Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:15.3783760Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:15.3784276Z DEVICE_NAME: 2025-12-04T10:06:15.3784500Z DEVICE_TYPE: 2025-12-04T10:06:15.3784735Z MONITOR_SCRIPT_PID: 43363 2025-12-04T10:06:15.3784994Z ##[endgroup] 2025-12-04T10:06:15.3807287Z /home/ec2-user/actions-runner/_work/_temp/b79bc5bc-137a-486d-a47a-4e568d900a28.sh: line 1: kill: (43363) - No such process 2025-12-04T10:06:15.3820729Z ##[error]Process completed with exit code 1. 2025-12-04T10:06:15.3960823Z Prepare all required actions 2025-12-04T10:06:15.3961260Z Getting action download info 2025-12-04T10:06:15.5697719Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T10:06:15.8076526Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T10:06:16.3375971Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T10:06:16.3376338Z with: 2025-12-04T10:06:16.3376654Z file-suffix: test-dynamo_wrapped-1-3-linux.2xlarge_57113020406 2025-12-04T10:06:16.3377078Z s3-bucket: gha-artifacts 2025-12-04T10:06:16.3377338Z env: 2025-12-04T10:06:16.3377539Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:16.3377808Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:16.3378266Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:16.3378766Z DEVICE_NAME: 2025-12-04T10:06:16.3378988Z DEVICE_TYPE: 2025-12-04T10:06:16.3379260Z ##[endgroup] 2025-12-04T10:06:16.3409210Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T10:06:16.3409748Z # Remove any previous test jsons if they exist 2025-12-04T10:06:16.3410135Z rm -f test-jsons-*.zip 2025-12-04T10:06:16.3410574Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T10:06:16.3416353Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:16.3416730Z env: 2025-12-04T10:06:16.3416945Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:16.3417221Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:16.3417667Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:16.3418177Z DEVICE_NAME: 2025-12-04T10:06:16.3418405Z DEVICE_TYPE: 2025-12-04T10:06:16.3418720Z FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.2xlarge_57113020406 2025-12-04T10:06:16.3419121Z ##[endgroup] 2025-12-04T10:06:16.3572536Z adding: test/test-reports/td_exclusions-b4177d1ad5432b6bfdce.json (deflated 81%) 2025-12-04T10:06:16.3604900Z adding: test/test-reports/python-pytest/test_torch/test_torch-ce11d41439ce74f0.json (deflated 95%) 2025-12-04T10:06:16.3610431Z adding: test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-716ae0a9747715b7.json (deflated 92%) 2025-12-04T10:06:16.3632656Z adding: test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-f75b043bbc7f6a2f.json (deflated 94%) 2025-12-04T10:06:16.3657541Z adding: test/test-reports/python-pytest/test_nn/test_nn-4c2c17663dd99a8b.json (deflated 96%) 2025-12-04T10:06:16.3659194Z adding: test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-da2abc679130f933.json (deflated 92%) 2025-12-04T10:06:16.3662327Z adding: test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-d59b2cbaff4024e4.json (deflated 93%) 2025-12-04T10:06:16.3696767Z adding: test/test-reports/python-pytest/test_overrides/test_overrides-1465fc00bc30fadd.json (deflated 97%) 2025-12-04T10:06:16.3752787Z adding: test/test-reports/python-pytest/test_reductions/test_reductions-89460d358ba43e63.json (deflated 98%) 2025-12-04T10:06:16.3810417Z adding: test/test-reports/python-pytest/test_reductions/test_reductions-54af5ad1f6c99cbd.json (deflated 98%) 2025-12-04T10:06:16.3818985Z adding: test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-c145b0422b3b34b2.json (deflated 96%) 2025-12-04T10:06:16.3821917Z adding: test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-78f84aa3e04aba65.json (deflated 93%) 2025-12-04T10:06:16.3823472Z adding: test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-968634f7da58af49.json (deflated 66%) 2025-12-04T10:06:16.3845036Z adding: test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-abf4ca043065cbf6.json (deflated 98%) 2025-12-04T10:06:16.3846805Z adding: test/test-reports/python-pytest/test_extension_utils/test_extension_utils-02441b5ad58e9d42.json (deflated 55%) 2025-12-04T10:06:16.3848194Z adding: test/test-reports/python-pytest/test_show_pickle/test_show_pickle-67f9af1345997bca.json (deflated 43%) 2025-12-04T10:06:16.3849564Z adding: test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-7ff03b458fa7ac6c.json (deflated 97%) 2025-12-04T10:06:16.3850598Z adding: test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-e397e2da46853aad.json (deflated 70%) 2025-12-04T10:06:16.3859442Z adding: test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-c711383862ac215d.json (deflated 95%) 2025-12-04T10:06:16.3862240Z adding: test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-5deb4d89da4193c7.json (deflated 92%) 2025-12-04T10:06:16.3863934Z adding: test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-3d26910c76190313.json (deflated 88%) 2025-12-04T10:06:16.3865805Z adding: test/test-reports/python-pytest/test_autocast/test_autocast-f8ca196b8a2d488d.json (deflated 91%) 2025-12-04T10:06:16.3867466Z adding: test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-e66955ed9886fa81.json (deflated 57%) 2025-12-04T10:06:16.3869247Z adding: test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-acf1d2453adee99a.json (deflated 80%) 2025-12-04T10:06:16.3870591Z adding: test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-0e383c7039153c62.json (deflated 88%) 2025-12-04T10:06:16.3871905Z adding: 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test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-97d34356cb890041.json (deflated 95%) 2025-12-04T10:06:16.3900435Z adding: test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-eeb952604ded4eda.json (deflated 95%) 2025-12-04T10:06:16.3902145Z adding: test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-56deb0f8cd2a3cd2.json (deflated 92%) 2025-12-04T10:06:16.3903870Z adding: test/test-reports/python-pytest/test_cpp_extensions_aot_no_ninja/test_cpp_extensions_aot_no_ninja-f4601cce78e9c41e.json (deflated 92%) 2025-12-04T10:06:16.3905251Z adding: test/test-reports/python-pytest/test_matmul_cuda/test_matmul_cuda-96c0f3cf9f9f6dc2.json (stored 0%) 2025-12-04T10:06:16.3906154Z adding: test/test-reports/python-pytest/test_matmul_cuda/test_matmul_cuda-d21ebee9dee67f36.json (stored 0%) 2025-12-04T10:06:16.3907033Z adding: test/test-reports/python-pytest/xpu.test_conv/xpu.test_conv-583e7bd032e64bdf.json (stored 0%) 2025-12-04T10:06:16.3907883Z adding: test/test-reports/python-pytest/xpu.test_conv/xpu.test_conv-fc4640672831738d.json (stored 0%) 2025-12-04T10:06:16.3908757Z adding: test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-0eeb13a835704eea.json (stored 0%) 2025-12-04T10:06:16.4175645Z adding: test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-5ec589f8ba4cd17c.json (deflated 99%) 2025-12-04T10:06:16.4177598Z adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204094641.json (deflated 43%) 2025-12-04T10:06:16.4178721Z adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204094658.json (deflated 43%) 2025-12-04T10:06:16.4179611Z adding: test/test-reports/td_exclusions-37050022dac2f88706ae.json (deflated 73%) 2025-12-04T10:06:16.4209018Z ##[group]Run # Remove any previous test reports if they exist 2025-12-04T10:06:16.4209495Z # Remove any previous test reports if they exist 2025-12-04T10:06:16.4209888Z rm -f test-reports-*.zip 2025-12-04T10:06:16.4210375Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-12-04T10:06:16.4216486Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:16.4216853Z env: 2025-12-04T10:06:16.4217067Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:16.4217338Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:16.4217798Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:16.4218394Z DEVICE_NAME: 2025-12-04T10:06:16.4218617Z DEVICE_TYPE: 2025-12-04T10:06:16.4218987Z FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.2xlarge_57113020406 2025-12-04T10:06:16.4219386Z ##[endgroup] 2025-12-04T10:06:16.4312936Z adding: test/test-reports/python-pytest/test_torch/test_torch-ce11d41439ce74f0.xml (deflated 93%) 2025-12-04T10:06:16.4317680Z adding: test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-716ae0a9747715b7.xml (deflated 89%) 2025-12-04T10:06:16.4336137Z adding: test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-f75b043bbc7f6a2f.xml (deflated 93%) 2025-12-04T10:06:16.4357855Z adding: test/test-reports/python-pytest/test_nn/test_nn-4c2c17663dd99a8b.xml (deflated 95%) 2025-12-04T10:06:16.4359258Z adding: test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-da2abc679130f933.xml (deflated 89%) 2025-12-04T10:06:16.4361885Z adding: test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-d59b2cbaff4024e4.xml (deflated 89%) 2025-12-04T10:06:16.4387973Z adding: test/test-reports/python-pytest/test_overrides/test_overrides-1465fc00bc30fadd.xml (deflated 95%) 2025-12-04T10:06:16.4438983Z adding: test/test-reports/python-pytest/test_reductions/test_reductions-89460d358ba43e63.xml (deflated 97%) 2025-12-04T10:06:16.4494163Z adding: 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(deflated 42%) 2025-12-04T10:06:16.5346136Z adding: test/test-reports/dynamo.test_aot_autograd_1.1_6616a5749e49b063_.log (stored 0%) 2025-12-04T10:06:16.5346845Z adding: test/test-reports/dynamo.test_metrics_context_1.1_5787167844242171_.log (stored 0%) 2025-12-04T10:06:16.5347570Z adding: test/test-reports/cpp.NamedTensor_test_1.1_878cb94c13eddca7_.log (deflated 70%) 2025-12-04T10:06:16.5348271Z adding: test/test-reports/dynamo.test_fx_annotate_1.1_f8e1734c6f55e2df_.log (stored 0%) 2025-12-04T10:06:16.5348953Z adding: test/test-reports/dynamo.test_global_1.1_b352f9545a81231b_.log (stored 0%) 2025-12-04T10:06:16.5349698Z adding: test/test-reports/dynamo.test_streams_1.1_b780c4aa215cfbcd_.log (stored 0%) 2025-12-04T10:06:16.5350420Z adding: test/test-reports/cpp.extension_backend_test_1.1_fb30e59c30ab5806_.log (deflated 42%) 2025-12-04T10:06:16.5351167Z adding: test/test-reports/cpp.scalar_tensor_test_1.1_898185f3fa7291e1_.log (deflated 58%) 2025-12-04T10:06:16.5351882Z adding: test/test-reports/dynamo.test_cudagraphs_1.1_3b55d61f8e163fa6_.log (stored 0%) 2025-12-04T10:06:16.5352593Z adding: test/test-reports/dynamo.test_compile_1.1_30cfda61daa78cd1_.log (stored 0%) 2025-12-04T10:06:16.5353286Z adding: test/test-reports/dynamo.test_resume_1.1_7992939c69aa3d8c_.log (stored 0%) 2025-12-04T10:06:16.5353972Z adding: test/test-reports/cpp.apply_utils_test_1.1_e7da9bd133b9b6af_.log (deflated 42%) 2025-12-04T10:06:16.5354681Z adding: test/test-reports/cpp.scalar_tensor_test_1.1_cd495bf4e78b2ed2_.log (deflated 42%) 2025-12-04T10:06:16.5355465Z adding: test/test-reports/dynamo.test_backward_higher_order_ops_1.1_566e8e0e3fc81538_.log (stored 0%) 2025-12-04T10:06:16.5356233Z adding: test/test-reports/dynamo.test_debug_utils_1.1_9cb791285f4c56cc_.log (stored 0%) 2025-12-04T10:06:16.5356932Z adding: test/test-reports/cpp.lazy_tensor_test_1.1_bed2101682ee9e54_.log (deflated 42%) 2025-12-04T10:06:16.5357594Z adding: test/test-reports/cpp.Dict_test_1.1_85b8f985f9fbe1ce_.log (deflated 84%) 2025-12-04T10:06:16.5358258Z adding: test/test-reports/dynamo.test_package_1.1_ddad240b5d701f17_.log (stored 0%) 2025-12-04T10:06:16.5359031Z adding: test/test-reports/dynamo.test_wrap_inductor_compiled_regions_1.1_006382e9db7d023c_.log (stored 0%) 2025-12-04T10:06:16.5359846Z adding: test/test-reports/dynamo.test_aot_autograd_cache_1.1_4bdda47dd5e5a420_.log (stored 0%) 2025-12-04T10:06:16.5360555Z adding: test/test-reports/cpp.operators_test_1.1_f0824898830c5d92_.log (deflated 58%) 2025-12-04T10:06:16.5361259Z adding: test/test-reports/dynamo.test_error_messages_1.1_e1d18631e55b02b2_.log (stored 0%) 2025-12-04T10:06:16.5361999Z adding: test/test-reports/dynamo.test_compiler_bisector_1.1_e16ae6b0c742f3e4_.log (stored 0%) 2025-12-04T10:06:16.5362724Z adding: test/test-reports/dynamo.test_guard_manager_1.1_e5b6acc6f3167e0a_.log (stored 0%) 2025-12-04T10:06:16.5363392Z adding: test/test-reports/cpp.atest_1.1_93c7b1fd12fe5010_.log (deflated 42%) 2025-12-04T10:06:16.5364055Z adding: test/test-reports/cpp.legacy_vmap_test_1.1_49ccbc44884c1650_.log (deflated 42%) 2025-12-04T10:06:16.5364757Z adding: test/test-reports/dynamo.test_reorder_logs_1.1_85599e9109162efe_.log (stored 0%) 2025-12-04T10:06:16.5365472Z adding: test/test-reports/dynamo.test_python_autograd_1.1_b71ea39ba388cc1f_.log (stored 0%) 2025-12-04T10:06:16.5366230Z adding: test/test-reports/dynamo.test_precompile_context_1.1_f265dfb9c0d228ba_.log (stored 0%) 2025-12-04T10:06:16.5367000Z adding: test/test-reports/test_appending_byte_serializer_1.1_31aec76d5e6473b0_.log (stored 0%) 2025-12-04T10:06:16.5367754Z adding: test/test-reports/cpp.tensor_iterator_test_1.1_b38711df54228e2e_.log (deflated 42%) 2025-12-04T10:06:16.5368435Z adding: test/test-reports/xpu.test_conv_1.1_40a434e1b33bd48f_.log (deflated 48%) 2025-12-04T10:06:16.5369094Z adding: test/test-reports/test_matmul_cuda_1.1_5d998aae553a3c0f_.log (deflated 49%) 2025-12-04T10:06:16.5369808Z adding: test/test-reports/test_cuda_expandable_segments_1.1_5dc2e3868962d1d2_.log (stored 0%) 2025-12-04T10:06:16.5370579Z adding: test/test-reports/optim.test_swa_utils_1.1_ec7c7953d6c3e8cd_.log (deflated 7%) 2025-12-04T10:06:16.5371268Z adding: test/test-reports/optim.test_optim_1.1_863d1e828c7f4ca1_.log (deflated 7%) 2025-12-04T10:06:16.5585039Z adding: test/test-reports/test_unary_ufuncs_2.2_e0461185af0853af_.log (deflated 96%) 2025-12-04T10:06:16.5585715Z adding: test/test-reports/cpp.Dict_test_1.1_0211b0ae374c83d1_.log (deflated 42%) 2025-12-04T10:06:16.5586367Z adding: test/test-reports/cpp.Dimname_test_1.1_98cd89bc066047b6_.log (deflated 42%) 2025-12-04T10:06:16.5587064Z adding: test/test-reports/cpp.NamedTensor_test_1.1_e75ed1d8dc459b55_.log (deflated 42%) 2025-12-04T10:06:16.5587768Z adding: test/test-reports/cpp.broadcast_test_1.1_6d247f57caa76345_.log (deflated 42%) 2025-12-04T10:06:16.5588467Z adding: test/test-reports/cpp.apply_utils_test_1.1_cdc8f1ee208ff452_.log (deflated 63%) 2025-12-04T10:06:16.5589190Z adding: test/test-reports/cpp.atest_1.1_33486d065e179e17_.log (deflated 72%) 2025-12-04T10:06:16.5589837Z adding: test/test-reports/cpp.basic_1.1_2d7d77bc14e27ca0_.log (deflated 63%) 2025-12-04T10:06:16.5590839Z adding: test/test-reports/cpp.undefined_tensor_test_1.1_86de67836ddeaa45_.log (deflated 45%) 2025-12-04T10:06:16.5591573Z adding: test/test-reports/cpp.broadcast_test_1.1_2ba1feed5a0ed09a_.log (deflated 45%) 2025-12-04T10:06:16.5592277Z adding: test/test-reports/cpp.cpu_generator_test_1.1_2d0c7f38ff9ae110_.log (deflated 77%) 2025-12-04T10:06:16.5593009Z adding: test/test-reports/cpp.dlconvertor_test_1.1_133187648b3b6cdb_.log (deflated 63%) 2025-12-04T10:06:16.5593702Z adding: test/test-reports/cpp.native_test_1.1_207b46544acf811c_.log (deflated 50%) 2025-12-04T10:06:16.5594426Z adding: test/test-reports/cpp.extension_backend_test_1.1_ad2d0cd6a5b1950e_.log (deflated 46%) 2025-12-04T10:06:16.5595151Z adding: test/test-reports/cpp.lazy_tensor_test_1.1_a1627d99abead203_.log (deflated 51%) 2025-12-04T10:06:16.5595864Z adding: test/test-reports/cpp.legacy_vmap_test_1.1_425432249c02d469_.log (deflated 81%) 2025-12-04T10:06:16.5596561Z adding: test/test-reports/cpp.wrapdim_test_1.1_f6ad901afb54fcbf_.log (deflated 45%) 2025-12-04T10:06:16.5625008Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T10:06:16.5625557Z # Remove any previous debugging artifacts if they exist 2025-12-04T10:06:16.5625976Z rm -f debug-*.zip 2025-12-04T10:06:16.5626255Z if [ -d 'test/debug' ]; then 2025-12-04T10:06:16.5626623Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T10:06:16.5626977Z fi 2025-12-04T10:06:16.5632515Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:16.5632885Z env: 2025-12-04T10:06:16.5633104Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:16.5633377Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:16.5633826Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:16.5634339Z DEVICE_NAME: 2025-12-04T10:06:16.5634580Z DEVICE_TYPE: 2025-12-04T10:06:16.5634907Z FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.2xlarge_57113020406 2025-12-04T10:06:16.5635315Z ##[endgroup] 2025-12-04T10:06:16.5717158Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:06:16.5717496Z with: 2025-12-04T10:06:16.5717726Z s3-bucket: gha-artifacts 2025-12-04T10:06:16.5718059Z s3-prefix: pytorch/pytorch/19921726337/1/artifact 2025-12-04T10:06:16.5718411Z retention-days: 14 2025-12-04T10:06:16.5718677Z if-no-files-found: warn 2025-12-04T10:06:16.5718957Z path: test-jsons-*.zip 2025-12-04T10:06:16.5719219Z name: artifact 2025-12-04T10:06:16.5719440Z region: us-east-1 2025-12-04T10:06:16.5719673Z env: 2025-12-04T10:06:16.5719888Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:16.5720149Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:16.5720611Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:16.5721127Z DEVICE_NAME: 2025-12-04T10:06:16.5721343Z DEVICE_TYPE: 2025-12-04T10:06:16.5721705Z ##[endgroup] 2025-12-04T10:06:16.9316050Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T10:06:16.9316557Z With the provided path, there will be 1 file uploaded 2025-12-04T10:06:16.9317024Z Uploading to s3 prefix: pytorch/pytorch/19921726337/1/artifact 2025-12-04T10:06:16.9407027Z Starting upload of test-jsons-test-dynamo_wrapped-1-3-linux.2xlarge_57113020406.zip 2025-12-04T10:06:17.0642935Z Finished upload of test-jsons-test-dynamo_wrapped-1-3-linux.2xlarge_57113020406.zip 2025-12-04T10:06:17.0839307Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:06:17.0839706Z with: 2025-12-04T10:06:17.0840003Z s3-bucket: gha-artifacts 2025-12-04T10:06:17.0840493Z s3-prefix: pytorch/pytorch/19921726337/1/artifact 2025-12-04T10:06:17.0840906Z retention-days: 14 2025-12-04T10:06:17.0841242Z if-no-files-found: error 2025-12-04T10:06:17.0841638Z path: test-reports-*.zip 2025-12-04T10:06:17.0857610Z name: artifact 2025-12-04T10:06:17.0857857Z region: us-east-1 2025-12-04T10:06:17.0858100Z env: 2025-12-04T10:06:17.0858436Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:17.0858715Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:17.0859232Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:17.0859737Z DEVICE_NAME: 2025-12-04T10:06:17.0859963Z DEVICE_TYPE: 2025-12-04T10:06:17.0860185Z ##[endgroup] 2025-12-04T10:06:17.4384323Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T10:06:17.4385158Z With the provided path, there will be 1 file uploaded 2025-12-04T10:06:17.4385615Z Uploading to s3 prefix: pytorch/pytorch/19921726337/1/artifact 2025-12-04T10:06:17.4431914Z Starting upload of test-reports-test-dynamo_wrapped-1-3-linux.2xlarge_57113020406.zip 2025-12-04T10:06:17.6399495Z Finished upload of test-reports-test-dynamo_wrapped-1-3-linux.2xlarge_57113020406.zip 2025-12-04T10:06:17.6589981Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:06:17.6590517Z with: 2025-12-04T10:06:17.6590735Z s3-bucket: gha-artifacts 2025-12-04T10:06:17.6591084Z s3-prefix: pytorch/pytorch/19921726337/1/artifact 2025-12-04T10:06:17.6591452Z retention-days: 14 2025-12-04T10:06:17.6591702Z if-no-files-found: ignore 2025-12-04T10:06:17.6591975Z path: logs-*.zip 2025-12-04T10:06:17.6592208Z name: artifact 2025-12-04T10:06:17.6592427Z region: us-east-1 2025-12-04T10:06:17.6592656Z env: 2025-12-04T10:06:17.6592867Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:17.6593123Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:17.6593581Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:17.6594095Z DEVICE_NAME: 2025-12-04T10:06:17.6594320Z DEVICE_TYPE: 2025-12-04T10:06:17.6594531Z ##[endgroup] 2025-12-04T10:06:17.9843817Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T10:06:17.9844642Z With the provided path, there will be 1 file uploaded 2025-12-04T10:06:17.9845221Z Uploading to s3 prefix: pytorch/pytorch/19921726337/1/artifact 2025-12-04T10:06:17.9894390Z Starting upload of logs-test-dynamo_wrapped-1-3-linux.2xlarge_57113020406.zip 2025-12-04T10:06:18.1453765Z Finished upload of logs-test-dynamo_wrapped-1-3-linux.2xlarge_57113020406.zip 2025-12-04T10:06:18.1654485Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:06:18.1654839Z with: 2025-12-04T10:06:18.1655075Z s3-bucket: gha-artifacts 2025-12-04T10:06:18.1655405Z s3-prefix: pytorch/pytorch/19921726337/1/artifact 2025-12-04T10:06:18.1655773Z retention-days: 14 2025-12-04T10:06:18.1656022Z if-no-files-found: ignore 2025-12-04T10:06:18.1656306Z path: debug-*.zip 2025-12-04T10:06:18.1656545Z name: artifact 2025-12-04T10:06:18.1656762Z region: us-east-1 2025-12-04T10:06:18.1656993Z env: 2025-12-04T10:06:18.1657207Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:18.1657467Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:18.1657931Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:18.1658447Z DEVICE_NAME: 2025-12-04T10:06:18.1658668Z DEVICE_TYPE: 2025-12-04T10:06:18.1659077Z ##[endgroup] 2025-12-04T10:06:18.4926886Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T10:06:18.5122067Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T10:06:18.5122456Z # shellcheck disable=SC2156 2025-12-04T10:06:18.5123058Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T10:06:18.5129130Z shell: /usr/bin/bash -e {0} 2025-12-04T10:06:18.5129417Z env: 2025-12-04T10:06:18.5129639Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:18.5129912Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:18.5130359Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:18.5130871Z DEVICE_NAME: 2025-12-04T10:06:18.5131100Z DEVICE_TYPE: 2025-12-04T10:06:18.5131311Z ##[endgroup] 2025-12-04T10:06:18.8360373Z Prepare all required actions 2025-12-04T10:06:18.8361052Z Getting action download info 2025-12-04T10:06:18.9911264Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T10:06:19.3481872Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T10:06:19.3482241Z with: 2025-12-04T10:06:19.3482458Z job_id: 57113020406 2025-12-04T10:06:19.3482868Z job_name: linux-jammy-py3.10-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge) 2025-12-04T10:06:19.3483336Z workflow_name: pull 2025-12-04T10:06:19.3483591Z workflow_run_id: 19921726337 2025-12-04T10:06:19.3483871Z workflow_attempt: 1 2025-12-04T10:06:19.3484105Z env: 2025-12-04T10:06:19.3484304Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:19.3484569Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:19.3485026Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:19.3485523Z DEVICE_NAME: 2025-12-04T10:06:19.3485804Z DEVICE_TYPE: 2025-12-04T10:06:19.3486014Z ##[endgroup] 2025-12-04T10:06:19.3528358Z ##[group]Run actions/setup-python@v6 2025-12-04T10:06:19.3528670Z with: 2025-12-04T10:06:19.3528901Z python-version: 3.10 2025-12-04T10:06:19.3529160Z check-latest: false 2025-12-04T10:06:19.3529592Z token: *** 2025-12-04T10:06:19.3529827Z update-environment: true 2025-12-04T10:06:19.3530112Z allow-prereleases: false 2025-12-04T10:06:19.3530369Z freethreaded: false 2025-12-04T10:06:19.3530607Z env: 2025-12-04T10:06:19.3530819Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:19.3531072Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:19.3531535Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:19.3532048Z DEVICE_NAME: 2025-12-04T10:06:19.3532273Z DEVICE_TYPE: 2025-12-04T10:06:19.3532487Z ##[endgroup] 2025-12-04T10:06:19.8394511Z ##[group]Installed versions 2025-12-04T10:06:19.8403784Z Version 3.10 was not found in the local cache 2025-12-04T10:06:19.8684267Z (node:56973) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T10:06:19.8685094Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T10:06:20.2209341Z ##[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 2025-12-04T10:06:20.2396465Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T10:06:20.2396908Z with: 2025-12-04T10:06:20.2397115Z env: 2025-12-04T10:06:20.2397318Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:20.2397593Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:20.2398041Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:20.2398532Z DEVICE_NAME: 2025-12-04T10:06:20.2398747Z DEVICE_TYPE: 2025-12-04T10:06:20.2398958Z ##[endgroup] 2025-12-04T10:06:20.2419897Z ##[group]Run set -eou pipefail 2025-12-04T10:06:20.2420201Z set -eou pipefail 2025-12-04T10:06:20.2420465Z  2025-12-04T10:06:20.2420963Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T10:06:20.2421556Z for _ in $(seq 1440); do 2025-12-04T10:06:20.2421967Z  # Break if no ssh session exists anymore 2025-12-04T10:06:20.2422556Z  if [ "$(who)" = "" ]; then 2025-12-04T10:06:20.2423079Z  break 2025-12-04T10:06:20.2423446Z  fi 2025-12-04T10:06:20.2423723Z  echo "." 2025-12-04T10:06:20.2424068Z  sleep 5 2025-12-04T10:06:20.2424422Z done 2025-12-04T10:06:20.2430378Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:20.2430881Z env: 2025-12-04T10:06:20.2431203Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:20.2431550Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:20.2432117Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:20.2432770Z DEVICE_NAME: 2025-12-04T10:06:20.2433077Z DEVICE_TYPE: 2025-12-04T10:06:20.2433495Z ##[endgroup] 2025-12-04T10:06:20.2459500Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T10:06:20.2540325Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T10:06:20.2540900Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T10:06:20.2541336Z # shellcheck disable=SC2046 2025-12-04T10:06:20.2541691Z docker stop $(docker ps -q) || true 2025-12-04T10:06:20.2542178Z # Prune all of the docker images 2025-12-04T10:06:20.2542499Z docker system prune -af 2025-12-04T10:06:20.2547812Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:06:20.2548194Z env: 2025-12-04T10:06:20.2548399Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:06:20.2548671Z HAS_NVIDIA_GPU: false 2025-12-04T10:06:20.2549221Z DOCKER_CONTAINER_ID: e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:20.2549733Z DEVICE_NAME: 2025-12-04T10:06:20.2549944Z DEVICE_TYPE: 2025-12-04T10:06:20.2550172Z ##[endgroup] 2025-12-04T10:06:31.0590672Z e07c887ffb23 2025-12-04T10:06:31.6750823Z Deleted Containers: 2025-12-04T10:06:31.6751267Z e07c887ffb233c802b0372b2ffdde776b17f191fbe640280cc9aa0b9378d55c1 2025-12-04T10:06:31.6751627Z 2025-12-04T10:06:44.0157338Z Deleted Images: 2025-12-04T10:06:44.0158270Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T10:06:44.0159649Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:daf8295b144729db421f110762706d7eed0643b6b9748bedf2e37a2fcdfc4b9c 2025-12-04T10:06:44.0160641Z deleted: sha256:9230348e0d090da287e002774e5f183831a6591efe46e7a2cd9b593182913ca0 2025-12-04T10:06:44.0161360Z deleted: sha256:bb4cf19b46edf3940630043b34fa87861dcaa2fab0d602ec97ce2e7d852a8a4f 2025-12-04T10:06:44.0162060Z deleted: sha256:883467898d1f5550d17d9318698d76df5ee5fa21ecd58f5da662d6079b41a622 2025-12-04T10:06:44.0162778Z deleted: sha256:0f7af61dd47fc3aa2606dde0f6b45446fb4ef34bf780333032745f03e689ad7e 2025-12-04T10:06:44.0163497Z deleted: sha256:287567ad66143a8b090b4909f7de2e2cc3587518401f3d1149084f0ef79ea70c 2025-12-04T10:06:44.0164208Z deleted: 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[command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-12-04T10:06:44.8605236Z [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' || :" 2025-12-04T10:06:44.8904267Z Entering 'android/libs/fbjni' 2025-12-04T10:06:44.8941986Z http.https://github.com/.extraheader 2025-12-04T10:06:44.8978031Z Entering 'third_party/FP16' 2025-12-04T10:06:44.9016499Z http.https://github.com/.extraheader 2025-12-04T10:06:44.9050280Z Entering 'third_party/FXdiv' 2025-12-04T10:06:44.9087663Z http.https://github.com/.extraheader 2025-12-04T10:06:44.9121919Z Entering 'third_party/NNPACK' 2025-12-04T10:06:44.9159851Z http.https://github.com/.extraheader 2025-12-04T10:06:44.9193037Z Entering 'third_party/NVTX' 2025-12-04T10:06:44.9231466Z http.https://github.com/.extraheader 2025-12-04T10:06:44.9264938Z Entering 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