2025-12-04T08:54:49.4901735Z Current runner version: '2.330.0' 2025-12-04T08:54:49.4907565Z Runner name: 'i-047fb8a5d8c8ef107' 2025-12-04T08:54:49.4908407Z Runner group name: 'default' 2025-12-04T08:54:49.4909303Z Machine name: 'ip-10-0-60-14' 2025-12-04T08:54:49.4912280Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T08:54:49.4915078Z Contents: read 2025-12-04T08:54:49.4915675Z Metadata: read 2025-12-04T08:54:49.4916238Z ##[endgroup] 2025-12-04T08:54:49.4918576Z Secret source: Actions 2025-12-04T08:54:49.4919314Z Prepare workflow directory 2025-12-04T08:54:49.5423408Z Prepare all required actions 2025-12-04T08:54:49.5461039Z Getting action download info 2025-12-04T08:54:49.9033163Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T08:54:52.3046331Z Download action repository 'pytorch/pytorch@main' (SHA:eabb7ad2128580ef674446027b95bcf4e21e8df3) 2025-12-04T08:55:08.4632948Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T08:55:08.8214452Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T08:55:09.0566161Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T08:55:09.2494325Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:55:09.5032989Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T08:55:09.8006416Z Getting action download info 2025-12-04T08:55:09.9140544Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T08:55:10.1815950Z Getting action download info 2025-12-04T08:55:10.3141950Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T08:55:10.5370083Z Getting action download info 2025-12-04T08:55:10.6688027Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T08:55:10.8757555Z Getting action download info 2025-12-04T08:55:11.0199302Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:55:11.0203156Z ##[group] Inputs 2025-12-04T08:55:11.0203503Z build-environment: linux-jammy-cuda12.8-py3.10-gcc11-sm86 2025-12-04T08:55:11.0205890Z test-matrix: {"include": [{"config": "slow", "shard": 1, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 1, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T08:55:11.0208672Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:55:11.0209428Z sync-tag: 2025-12-04T08:55:11.0210142Z timeout-minutes: 240 2025-12-04T08:55:11.0210393Z use-gha: 2025-12-04T08:55:11.0210610Z dashboard-tag: 2025-12-04T08:55:11.0210853Z s3-bucket: gha-artifacts 2025-12-04T08:55:11.0211121Z aws-role-to-assume: 2025-12-04T08:55:11.0211900Z disable-monitor: false 2025-12-04T08:55:11.0212365Z monitor-log-interval: 5 2025-12-04T08:55:11.0212671Z monitor-data-collect-interval: 1 2025-12-04T08:55:11.0212988Z ##[endgroup] 2025-12-04T08:55:11.0214176Z Complete job name: linux-jammy-cuda12.8-py3.10-gcc11-sm86 / test (slow, 1, 3, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests) 2025-12-04T08:55:11.0879107Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T08:55:11.0978629Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T08:55:11.0989840Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:55:11.0990402Z ##[endgroup] 2025-12-04T08:55:12.9661074Z Runner Type: linux.g5.4xlarge.nvidia.gpu 2025-12-04T08:55:12.9661561Z Instance Type: g5.4xlarge 2025-12-04T08:55:12.9661798Z AMI Name: unknown 2025-12-04T08:55:12.9709757Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T08:55:18.4651792Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T08:55:18.4652176Z with: 2025-12-04T08:55:18.4652665Z github-secret: *** 2025-12-04T08:55:18.4653307Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T08:55:18.4653966Z activate-with-label: false 2025-12-04T08:55:18.4654213Z label: with-ssh 2025-12-04T08:55:18.4654436Z remove-existing-keys: true 2025-12-04T08:55:18.4654679Z fail-silently: true 2025-12-04T08:55:18.4654891Z env: 2025-12-04T08:55:18.4655078Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:55:18.4655313Z ##[endgroup] 2025-12-04T08:55:18.6001036Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T08:55:18.6002543Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T08:55:18.6174950Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T08:55:18.6175334Z with: 2025-12-04T08:55:18.6175529Z no-sudo: true 2025-12-04T08:55:18.6175746Z submodules: recursive 2025-12-04T08:55:18.6176007Z fetch-depth: 0 2025-12-04T08:55:18.6176206Z env: 2025-12-04T08:55:18.6176400Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:55:18.6176636Z ##[endgroup] 2025-12-04T08:55:18.6246511Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:55:18.6247360Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:55:18.6261818Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:55:18.6262153Z env: 2025-12-04T08:55:18.6262368Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:55:18.6262629Z ##[endgroup] 2025-12-04T08:55:18.6363612Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T08:55:18.6364120Z # Use all available CPUs for fetching 2025-12-04T08:55:18.6364506Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:55:18.6364884Z git config --global fetch.parallel 0 2025-12-04T08:55:18.6365344Z git config --global submodule.fetchJobs 0 2025-12-04T08:55:18.6365730Z  2025-12-04T08:55:18.6366206Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T08:55:18.6366758Z # do it here as well just in case 2025-12-04T08:55:18.6367117Z if [[ -d .git ]]; then 2025-12-04T08:55:18.6367446Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:55:18.6367792Z  sudo git clean -ffdx 2025-12-04T08:55:18.6368105Z  else 2025-12-04T08:55:18.6368445Z  git clean -ffdx 2025-12-04T08:55:18.6368804Z  fi 2025-12-04T08:55:18.6369305Z fi 2025-12-04T08:55:18.6401925Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:55:18.6402401Z env: 2025-12-04T08:55:18.6402642Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:55:18.6403009Z NO_SUDO: true 2025-12-04T08:55:18.6403279Z ##[endgroup] 2025-12-04T08:55:18.6539254Z ##[group]Run actions/checkout@v4 2025-12-04T08:55:18.6539527Z with: 2025-12-04T08:55:18.6539762Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:55:18.6540069Z fetch-depth: 0 2025-12-04T08:55:18.6540276Z submodules: recursive 2025-12-04T08:55:18.6540509Z show-progress: false 2025-12-04T08:55:18.6540754Z repository: pytorch/pytorch 2025-12-04T08:55:18.6541106Z token: *** 2025-12-04T08:55:18.6541301Z ssh-strict: true 2025-12-04T08:55:18.6541509Z ssh-user: git 2025-12-04T08:55:18.6541725Z persist-credentials: true 2025-12-04T08:55:18.6541963Z clean: true 2025-12-04T08:55:18.6542185Z sparse-checkout-cone-mode: true 2025-12-04T08:55:18.6542454Z fetch-tags: false 2025-12-04T08:55:18.6542656Z lfs: false 2025-12-04T08:55:18.6542864Z set-safe-directory: true 2025-12-04T08:55:18.6543108Z env: 2025-12-04T08:55:18.6543294Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:55:18.6543520Z ##[endgroup] 2025-12-04T08:55:18.7601867Z Syncing repository: pytorch/pytorch 2025-12-04T08:55:18.7603375Z ##[group]Getting Git version info 2025-12-04T08:55:18.7603808Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:55:18.7604391Z [command]/usr/bin/git version 2025-12-04T08:55:19.0358413Z git version 2.50.1 2025-12-04T08:55:19.0396922Z ##[endgroup] 2025-12-04T08:55:19.0407501Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/abeb8d18-9e7c-4874-bb24-1ffc43efe6eb/.gitconfig' 2025-12-04T08:55:19.0428382Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/abeb8d18-9e7c-4874-bb24-1ffc43efe6eb' before making global git config changes 2025-12-04T08:55:19.0429462Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T08:55:19.0433796Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:55:19.0485061Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:55:19.0488427Z ##[group]Initializing the repository 2025-12-04T08:55:19.0492862Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:55:19.1011022Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T08:55:19.1011748Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T08:55:19.1012332Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T08:55:19.1012685Z hint: 2025-12-04T08:55:19.1012958Z hint: git config --global init.defaultBranch 2025-12-04T08:55:19.1013500Z hint: 2025-12-04T08:55:19.1013793Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T08:55:19.1014312Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T08:55:19.1014689Z hint: 2025-12-04T08:55:19.1014879Z hint: git branch -m 2025-12-04T08:55:19.1015098Z hint: 2025-12-04T08:55:19.1015437Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T08:55:19.1017857Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T08:55:19.1029777Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T08:55:19.1075687Z ##[endgroup] 2025-12-04T08:55:19.1076225Z ##[group]Disabling automatic garbage collection 2025-12-04T08:55:19.1079540Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T08:55:19.1114092Z ##[endgroup] 2025-12-04T08:55:19.1120038Z ##[group]Setting up auth 2025-12-04T08:55:19.1120557Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T08:55:19.1154745Z [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' || :" 2025-12-04T08:55:19.1557218Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T08:55:19.1590175Z [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' || :" 2025-12-04T08:55:19.1983667Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T08:55:19.2019433Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T08:55:19.2412424Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:55:19.2466467Z ##[endgroup] 2025-12-04T08:55:19.2466997Z ##[group]Fetching the repository 2025-12-04T08:55:19.2475745Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T08:56:11.9179999Z From https://github.com/pytorch/pytorch 2025-12-04T08:56:11.9180450Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T08:56:11.9181056Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T08:56:11.9181927Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T08:56:11.9183077Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T08:56:11.9185306Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T08:56:11.9187131Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T08:56:11.9190453Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T08:56:11.9193239Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T08:56:11.9195204Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T08:56:11.9197134Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T08:56:11.9198879Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T08:56:11.9200683Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T08:56:11.9202600Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T08:56:11.9204579Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T08:56:11.9206538Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T08:56:11.9208712Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T08:56:11.9210968Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T08:56:11.9213700Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T08:56:11.9216103Z * [new branch] adi/test -> origin/adi/test 2025-12-04T08:56:11.9217583Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T08:56:11.9219745Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T08:56:11.9221440Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T08:56:11.9223305Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T08:56:11.9225143Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T08:56:11.9226906Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T08:56:11.9229570Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T08:56:11.9232759Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T08:56:11.9234437Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T08:56:11.9237020Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T08:56:11.9238609Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T08:56:11.9241529Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T08:56:11.9242993Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T08:56:11.9244730Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T08:56:11.9246766Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T08:56:11.9248347Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T08:56:11.9250383Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T08:56:11.9251969Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T08:56:11.9254716Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T08:56:11.9257056Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T08:56:11.9258580Z * [new branch] angelayi/side_eff -> origin/angelayi/side_eff 2025-12-04T08:56:11.9260800Z * [new branch] angelayi/state_dict -> origin/angelayi/state_dict 2025-12-04T08:56:11.9262550Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-12-04T08:56:11.9264694Z * [new branch] angelayi/symm_mem -> origin/angelayi/symm_mem 2025-12-04T08:56:11.9266369Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-12-04T08:56:11.9268717Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-12-04T08:56:11.9270172Z * [new branch] annotate_assert -> origin/annotate_assert 2025-12-04T08:56:11.9272554Z * [new branch] annotate_fallback_kernel -> origin/annotate_fallback_kernel 2025-12-04T08:56:11.9274219Z * [new branch] annotation_deepcopy -> origin/annotation_deepcopy 2025-12-04T08:56:11.9276113Z * [new branch] annotation_dynamo -> origin/annotation_dynamo 2025-12-04T08:56:11.9278273Z * [new branch] aot_eager_stack_trace -> origin/aot_eager_stack_trace 2025-12-04T08:56:11.9279826Z * [new 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branch] zb2p -> origin/zb2p 2025-12-04T08:56:12.9694932Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-12-04T08:56:12.9697953Z * [new branch] zhxchen17/ci/vllm_lora_oom -> origin/zhxchen17/ci/vllm_lora_oom 2025-12-04T08:56:12.9699801Z * [new branch] zhxchen17/ci/vllm_multimodal_oom -> origin/zhxchen17/ci/vllm_multimodal_oom 2025-12-04T08:56:12.9701488Z * [new branch] zhxchen17/ci/vllm_pin -> origin/zhxchen17/ci/vllm_pin 2025-12-04T08:56:12.9704310Z * [new branch] zhxchen17/dynamo/unsafe_drop_all_guards -> origin/zhxchen17/dynamo/unsafe_drop_all_guards 2025-12-04T08:56:12.9706677Z * [new branch] zhxchen17/export/call_override -> origin/zhxchen17/export/call_override 2025-12-04T08:56:12.9708938Z * [new branch] zhxchen17/export/codemod1 -> origin/zhxchen17/export/codemod1 2025-12-04T08:56:12.9710768Z * [new branch] zhxchen17/export/ctx_return -> origin/zhxchen17/export/ctx_return 2025-12-04T08:56:12.9721658Z * [new branch] zhxchen17/export/disable_side_effect_warn -> origin/zhxchen17/export/disable_side_effect_warn 2025-12-04T08:56:12.9722250Z * [new branch] zhxchen17/export/pytree_check -> origin/zhxchen17/export/pytree_check 2025-12-04T08:56:12.9722498Z * [new branch] zhxchen17/precompile/aoti -> origin/zhxchen17/precompile/aoti 2025-12-04T08:56:12.9722752Z * [new branch] zhxchen17/precompile/globals -> origin/zhxchen17/precompile/globals 2025-12-04T08:56:12.9723055Z * [new branch] zhxchen17/precompile/inductor_guards -> origin/zhxchen17/precompile/inductor_guards 2025-12-04T08:56:12.9723481Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-12-04T08:56:12.9725840Z * [new branch] zhxchen17/torch_export_api_update -> origin/zhxchen17/torch_export_api_update 2025-12-04T08:56:12.9728793Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-12-04T08:56:12.9731708Z * [new branch] zxiiro/build-times -> origin/zxiiro/build-times 2025-12-04T08:56:12.9734210Z * [new branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T08:56:12.9736767Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T08:56:12.9738366Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T08:56:12.9740390Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T08:56:12.9742548Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T08:56:12.9744413Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T08:56:12.9746164Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T08:56:12.9748125Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T08:56:12.9749496Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T08:56:12.9751008Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T08:56:12.9753012Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T08:56:12.9754793Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T08:56:12.9756122Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T08:56:12.9757745Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T08:56:12.9759419Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T08:56:12.9760558Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T08:56:12.9762582Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T08:56:12.9763703Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T08:56:12.9766051Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T08:56:12.9767779Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T08:56:12.9769575Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T08:56:12.9771076Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T08:56:12.9772598Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T08:56:12.9774298Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T08:56:12.9775849Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T08:56:12.9777762Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T08:56:12.9779167Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T08:56:12.9781146Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T08:56:12.9782711Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T08:56:12.9783924Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T08:56:12.9785602Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T08:56:12.9787241Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T08:56:12.9788788Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T08:56:12.9790411Z * [new tag] ciflow/dynamo/169525 -> ciflow/dynamo/169525 2025-12-04T08:56:12.9792259Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T08:56:12.9793515Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T08:56:12.9795606Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T08:56:12.9797177Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T08:56:12.9798569Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T08:56:12.9800151Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T08:56:12.9801898Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T08:56:12.9803043Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T08:56:12.9804581Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T08:56:12.9806129Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T08:56:12.9807699Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T08:56:12.9808896Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T08:56:12.9810659Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T08:56:12.9811823Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T08:56:12.9813485Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T08:56:12.9817186Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T08:56:12.9818286Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T08:56:12.9819801Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T08:56:12.9821324Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T08:56:12.9823115Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T08:56:12.9824509Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T08:56:12.9825949Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T08:56:12.9827800Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T08:56:12.9829206Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T08:56:12.9831136Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T08:56:12.9832811Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T08:56:12.9834441Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T08:56:12.9836078Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T08:56:12.9837625Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T08:56:12.9839125Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T08:56:12.9840705Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T08:56:12.9842444Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T08:56:12.9844579Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T08:56:12.9846349Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T08:56:12.9847590Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T08:56:12.9849467Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T08:56:12.9851599Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T08:56:12.9852774Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T08:56:12.9854162Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T08:56:12.9855724Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T08:56:12.9857936Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T08:56:12.9859281Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T08:56:12.9860540Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T08:56:12.9862121Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T08:56:12.9863864Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T08:56:12.9865441Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T08:56:12.9866559Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T08:56:12.9868170Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T08:56:12.9869288Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T08:56:12.9871115Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T08:56:12.9872380Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T08:56:12.9873523Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T08:56:12.9874918Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T08:56:12.9876834Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T08:56:12.9877957Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T08:56:12.9879702Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T08:56:12.9881245Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T08:56:12.9882356Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T08:56:12.9883828Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T08:56:12.9885335Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T08:56:12.9886405Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T08:56:12.9887882Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T08:56:12.9888973Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T08:56:12.9890441Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T08:56:12.9891434Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T08:56:12.9892921Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T08:56:12.9894041Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T08:56:12.9895791Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T08:56:12.9897572Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T08:56:12.9899111Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T08:56:12.9900520Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T08:56:12.9901692Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T08:56:12.9903220Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T08:56:12.9904356Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T08:56:12.9905865Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T08:56:12.9907396Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T08:56:12.9908782Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T08:56:12.9909913Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T08:56:12.9911436Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T08:56:12.9912929Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T08:56:12.9914666Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T08:56:12.9915749Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T08:56:12.9917255Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T08:56:12.9918732Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T08:56:12.9920284Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T08:56:12.9921761Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T08:56:12.9923664Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T08:56:12.9925139Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T08:56:12.9926701Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T08:56:12.9928202Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T08:56:12.9929738Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T08:56:12.9931324Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T08:56:12.9932520Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T08:56:12.9934046Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T08:56:12.9935513Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T08:56:12.9936676Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T08:56:12.9938204Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T08:56:12.9939664Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T08:56:12.9940833Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T08:56:12.9942826Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T08:56:12.9944018Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T08:56:12.9945553Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T08:56:12.9946961Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T08:56:12.9948115Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T08:56:12.9949635Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T08:56:12.9951228Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T08:56:12.9952396Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T08:56:12.9954007Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T08:56:12.9955556Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T08:56:12.9956719Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T08:56:12.9958219Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T08:56:12.9959392Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T08:56:12.9961137Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T08:56:12.9962069Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T08:56:12.9963558Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T08:56:12.9964977Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T08:56:12.9966128Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T08:56:12.9967669Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T08:56:12.9968785Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T08:56:12.9970285Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T08:56:12.9971491Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T08:56:12.9972975Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T08:56:12.9974125Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T08:56:12.9975863Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T08:56:12.9976934Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T08:56:12.9978459Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T08:56:12.9979620Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T08:56:12.9981133Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T08:56:12.9982659Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T08:56:12.9983849Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T08:56:12.9985380Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T08:56:12.9986833Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T08:56:12.9987976Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T08:56:12.9989491Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T08:56:12.9990674Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T08:56:12.9992226Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T08:56:12.9993369Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T08:56:12.9995039Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T08:56:12.9996199Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T08:56:12.9997780Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T08:56:12.9998891Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T08:56:13.0000572Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T08:56:13.0001776Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T08:56:13.0003312Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T08:56:13.0004467Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T08:56:13.0006090Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T08:56:13.0007272Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T08:56:13.0008830Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T08:56:13.0010066Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T08:56:13.0011621Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T08:56:13.0012811Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T08:56:13.0015111Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T08:56:13.0016119Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T08:56:13.0017715Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T08:56:13.0018877Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T08:56:13.0020794Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T08:56:13.0022160Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T08:56:13.0023767Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T08:56:13.0025248Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T08:56:13.0026418Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T08:56:13.0028165Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T08:56:13.0029151Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T08:56:13.0030765Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T08:56:13.0032618Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T08:56:13.0033770Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T08:56:13.0035684Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T08:56:13.0036846Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T08:56:13.0038439Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T08:56:13.0039912Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T08:56:13.0041067Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T08:56:13.0042587Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T08:56:13.0043739Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T08:56:13.0045446Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T08:56:13.0047231Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T08:56:13.0048394Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T08:56:13.0049995Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T08:56:13.0051127Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T08:56:13.0052704Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T08:56:13.0053817Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T08:56:13.0055603Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T08:56:13.0056751Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T08:56:13.0058107Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T08:56:13.0059804Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T08:56:13.0060935Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T08:56:13.0062631Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T08:56:13.0064116Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T08:56:13.0065262Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T08:56:13.0066993Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T08:56:13.0068613Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T08:56:13.0069743Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T08:56:13.0071330Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T08:56:13.0072467Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T08:56:13.0074192Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T08:56:13.0075827Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T08:56:13.0076981Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T08:56:13.0078547Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T08:56:13.0079802Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T08:56:13.0081540Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T08:56:13.0082715Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T08:56:13.0084227Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T08:56:13.0085751Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T08:56:13.0086924Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T08:56:13.0088540Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T08:56:13.0089652Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T08:56:13.0091345Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T08:56:13.0092522Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T08:56:13.0094258Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T08:56:13.0095428Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T08:56:13.0097107Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T08:56:13.0098620Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T08:56:13.0099808Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T08:56:13.0101347Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T08:56:13.0102471Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T08:56:13.0104072Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T08:56:13.0105263Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T08:56:13.0106783Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T08:56:13.0108553Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T08:56:13.0110326Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T08:56:13.0111519Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T08:56:13.0113402Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T08:56:13.0115037Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T08:56:13.0116040Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T08:56:13.0117631Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T08:56:13.0118772Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T08:56:13.0120377Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T08:56:13.0121517Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T08:56:13.0123075Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T08:56:13.0124856Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T08:56:13.0126023Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T08:56:13.0127778Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T08:56:13.0128947Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T08:56:13.0130666Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T08:56:13.0131671Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T08:56:13.0133434Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T08:56:13.0134436Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T08:56:13.0135996Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T08:56:13.0137186Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T08:56:13.0138829Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T08:56:13.0140710Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T08:56:13.0141746Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T08:56:13.0143460Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T08:56:13.0145119Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T08:56:13.0146107Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T08:56:13.0147652Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T08:56:13.0148650Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T08:56:13.0150482Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T08:56:13.0151460Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T08:56:13.0153111Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T08:56:13.0154312Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T08:56:13.0156292Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T08:56:13.0157248Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T08:56:13.0158796Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T08:56:13.0160490Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T08:56:13.0161730Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T08:56:13.0162967Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T08:56:13.0164962Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T08:56:13.0166503Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T08:56:13.0167784Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T08:56:13.0168983Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T08:56:13.0170981Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T08:56:13.0171945Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T08:56:13.0173616Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T08:56:13.0174669Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T08:56:13.0176159Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T08:56:13.0177543Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T08:56:13.0179174Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T08:56:13.0180366Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T08:56:13.0182111Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T08:56:13.0184369Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:56:13.0185714Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T08:56:13.0187862Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T08:56:13.0189248Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T08:56:13.0190875Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T08:56:13.0192448Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T08:56:13.0194212Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T08:56:13.0195920Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T08:56:13.0197559Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T08:56:13.0199380Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T08:56:13.0200856Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T08:56:13.0201986Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T08:56:13.0203353Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T08:56:13.0204893Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T08:56:13.0205878Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T08:56:13.0207603Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T08:56:13.0208597Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T08:56:13.0210581Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T08:56:13.0211723Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T08:56:13.0213425Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T08:56:13.0217540Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T08:56:13.0218441Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T08:56:13.0220482Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T08:56:13.0222149Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T08:56:13.0223238Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T08:56:13.0225054Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T08:56:13.0226057Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T08:56:13.0228152Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T08:56:13.0229003Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T08:56:13.0230499Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T08:56:13.0232342Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T08:56:13.0233326Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T08:56:13.0235047Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T08:56:13.0236196Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T08:56:13.0237690Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T08:56:13.0238679Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T08:56:13.0240558Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T08:56:13.0241553Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T08:56:13.0253096Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T08:56:13.0253561Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T08:56:13.0253992Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T08:56:13.0254581Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T08:56:13.0254991Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T08:56:13.0255405Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T08:56:13.0255960Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T08:56:13.0256389Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T08:56:13.0256841Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T08:56:13.0257411Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T08:56:13.0257826Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T08:56:13.0258902Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T08:56:13.0260215Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T08:56:13.0261954Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T08:56:13.0263024Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T08:56:13.0264246Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T08:56:13.0266262Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T08:56:13.0267493Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T08:56:13.0269692Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T08:56:13.0270835Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T08:56:13.0271862Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T08:56:13.0273167Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T08:56:13.0274977Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T08:56:13.0276351Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T08:56:13.0278339Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T08:56:13.0280247Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T08:56:13.0282024Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T08:56:13.0283369Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T08:56:13.0285014Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T08:56:13.0286364Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T08:56:13.0288455Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T08:56:13.0289519Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T08:56:13.0291234Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T08:56:13.0292592Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T08:56:13.0294919Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T08:56:13.0296227Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T08:56:13.0298413Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T08:56:13.0299570Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T08:56:13.0301250Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T08:56:13.0302406Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T08:56:13.0303642Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T08:56:13.0304918Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T08:56:13.0306175Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T08:56:13.0307450Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T08:56:13.0308709Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T08:56:13.0310043Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T08:56:13.0311300Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T08:56:13.0312589Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T08:56:13.0313959Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T08:56:13.0316255Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T08:56:13.0317854Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T08:56:13.0319454Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T08:56:13.0320647Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T08:56:13.0321905Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T08:56:13.0323216Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T08:56:13.0324735Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T08:56:13.0326400Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T08:56:13.0327570Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T08:56:13.0328838Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T08:56:13.0330203Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T08:56:13.0331794Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T08:56:13.0332965Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T08:56:13.0334273Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T08:56:13.0335955Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T08:56:13.0337193Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T08:56:13.0338477Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T08:56:13.0340234Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T08:56:13.0341384Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T08:56:13.0342713Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T08:56:13.0344035Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T08:56:13.0345481Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T08:56:13.0346905Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T08:56:13.0348078Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T08:56:13.0349391Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T08:56:13.0351081Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T08:56:13.0352198Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T08:56:13.0353831Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T08:56:13.0355560Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T08:56:13.0356669Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T08:56:13.0357961Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T08:56:13.0359639Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T08:56:13.0360906Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T08:56:13.0362162Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T08:56:13.0363476Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T08:56:13.0365176Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T08:56:13.0367132Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T08:56:13.0368230Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T08:56:13.0369930Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T08:56:13.0371262Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T08:56:13.0372902Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T08:56:13.0373968Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T08:56:13.0375237Z * [new tag] ciflow/trunk/169048 -> ciflow/trunk/169048 2025-12-04T08:56:13.0376613Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T08:56:13.0378226Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T08:56:13.0379408Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T08:56:13.0380753Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T08:56:13.0382433Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T08:56:13.0384048Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T08:56:13.0385283Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T08:56:13.0386585Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T08:56:13.0387962Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T08:56:13.0389802Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T08:56:13.0391000Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T08:56:13.0392327Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T08:56:13.0393776Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T08:56:13.0395681Z * [new tag] ciflow/trunk/169229 -> ciflow/trunk/169229 2025-12-04T08:56:13.0397287Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T08:56:13.0398443Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T08:56:13.0400178Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T08:56:13.0401613Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T08:56:13.0402700Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T08:56:13.0404040Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T08:56:13.0405772Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T08:56:13.0407000Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T08:56:13.0408338Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T08:56:13.0409964Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T08:56:13.0411036Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T08:56:13.0412922Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T08:56:13.0414294Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T08:56:13.0415791Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T08:56:13.0417329Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T08:56:13.0418971Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T08:56:13.0420090Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T08:56:13.0421699Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T08:56:13.0422876Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T08:56:13.0424618Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T08:56:13.0425742Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T08:56:13.0427311Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T08:56:13.0428494Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T08:56:13.0430043Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T08:56:13.0431210Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T08:56:13.0432920Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T08:56:13.0434352Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T08:56:13.0435944Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T08:56:13.0437098Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T08:56:13.0438718Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T08:56:13.0440193Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T08:56:13.0441354Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T08:56:13.0442881Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T08:56:13.0444380Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T08:56:13.0445543Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T08:56:13.0447187Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T08:56:13.0448354Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T08:56:13.0449946Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T08:56:13.0451110Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T08:56:13.0452713Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T08:56:13.0454008Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T08:56:13.0455992Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T08:56:13.0457139Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T08:56:13.0459280Z * [new tag] ciflow/trunk/169555 -> ciflow/trunk/169555 2025-12-04T08:56:13.0461129Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T08:56:13.0462823Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T08:56:13.0463890Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T08:56:13.0465374Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T08:56:13.0466435Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T08:56:13.0467947Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T08:56:13.0469558Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T08:56:13.0470612Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T08:56:13.0472106Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T08:56:13.0473441Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T08:56:13.0475158Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T08:56:13.0476191Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T08:56:13.0477561Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T08:56:13.0478768Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T08:56:13.0480209Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T08:56:13.0481259Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T08:56:13.0482624Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T08:56:13.0484359Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T08:56:13.0486306Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T08:56:13.0487808Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T08:56:13.0489134Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T08:56:13.0490546Z * [new tag] ciflow/xpu/169229 -> ciflow/xpu/169229 2025-12-04T08:56:13.0491896Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T08:56:13.0492977Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T08:56:13.0494634Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T08:56:13.0495979Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T08:56:13.0497491Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T08:56:13.0498909Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T08:56:13.0500293Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T08:56:13.0501348Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T08:56:13.0502910Z * [new tag] ciflow/xpu/169555 -> ciflow/xpu/169555 2025-12-04T08:56:13.0504552Z * [new tag] cslpull75 -> cslpull75 2025-12-04T08:56:13.0505732Z * [new tag] cslpull76 -> cslpull76 2025-12-04T08:56:13.0507143Z * [new tag] cslpull77 -> cslpull77 2025-12-04T08:56:13.0508543Z * [new tag] cslpull78 -> cslpull78 2025-12-04T08:56:13.0510301Z * [new tag] cslpull79 -> cslpull79 2025-12-04T08:56:13.0511963Z * [new tag] cslpull80 -> cslpull80 2025-12-04T08:56:13.0513714Z * [new tag] cslpull81 -> cslpull81 2025-12-04T08:56:13.0515251Z * [new tag] cslpull82 -> cslpull82 2025-12-04T08:56:13.0516672Z * [new tag] cslpull83 -> cslpull83 2025-12-04T08:56:13.0518087Z * [new tag] cslpull84 -> cslpull84 2025-12-04T08:56:13.0519520Z * [new tag] cslpull85 -> cslpull85 2025-12-04T08:56:13.0520983Z * [new tag] cslpull86 -> cslpull86 2025-12-04T08:56:13.0522438Z * [new tag] cslpull87 -> cslpull87 2025-12-04T08:56:13.0523849Z * [new tag] cslpull88 -> cslpull88 2025-12-04T08:56:13.0525259Z * [new tag] cslpull89 -> cslpull89 2025-12-04T08:56:13.0526333Z * [new tag] cslpull90 -> cslpull90 2025-12-04T08:56:13.0528694Z * [new tag] cslpull91 -> cslpull91 2025-12-04T08:56:13.0530160Z * [new tag] cslpull92 -> cslpull92 2025-12-04T08:56:13.0531687Z * [new tag] flight_5 -> flight_5 2025-12-04T08:56:13.0533389Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T08:56:13.0534706Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T08:56:13.0536245Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T08:56:13.0537720Z * [new tag] forpull1 -> forpull1 2025-12-04T08:56:13.0539528Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T08:56:13.0540932Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T08:56:13.0542312Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T08:56:13.0543912Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T08:56:13.0545489Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T08:56:13.0547063Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T08:56:13.0548898Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T08:56:13.0550190Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T08:56:13.0552252Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T08:56:13.0553874Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T08:56:13.0555592Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T08:56:13.0556893Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T08:56:13.0558459Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T08:56:13.0559965Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T08:56:13.0561689Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T08:56:13.0563359Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T08:56:13.0564760Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T08:56:13.0566163Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T08:56:13.0567795Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T08:56:13.0569391Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T08:56:13.0572300Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T08:56:13.0572675Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T08:56:13.0574738Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T08:56:13.0575281Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T08:56:13.0577097Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T08:56:13.0578643Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T08:56:13.0580410Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T08:56:13.0582203Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T08:56:13.0583497Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T08:56:13.0585285Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T08:56:13.0586987Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T08:56:13.0588471Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T08:56:13.0590027Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T08:56:13.0591734Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T08:56:13.0593662Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T08:56:13.0595083Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T08:56:13.0596797Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T08:56:13.0598408Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T08:56:13.0600188Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T08:56:13.0601996Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T08:56:13.0603259Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T08:56:13.0604922Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T08:56:13.0606742Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T08:56:13.0608431Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T08:56:13.0610104Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T08:56:13.0611902Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T08:56:13.0613645Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T08:56:13.0616643Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T08:56:13.0618185Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T08:56:13.0619863Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T08:56:13.0621505Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T08:56:13.0623308Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T08:56:13.0624916Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T08:56:13.0626411Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T08:56:13.0628196Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T08:56:13.0629841Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T08:56:13.0631399Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T08:56:13.0633069Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T08:56:13.0634959Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T08:56:13.0636473Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T08:56:13.0638051Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T08:56:13.0640167Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T08:56:13.0641384Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T08:56:13.0643093Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T08:56:13.0645210Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T08:56:13.0646907Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T08:56:13.0648406Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T08:56:13.0650255Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T08:56:13.0651957Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T08:56:13.0654382Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T08:56:13.0655889Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T08:56:13.0657611Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T08:56:13.0659298Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T08:56:13.0661139Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T08:56:13.0662829Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T08:56:13.0664538Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T08:56:13.0666301Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T08:56:13.0668067Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T08:56:13.0669423Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T08:56:13.0671280Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T08:56:13.0672949Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T08:56:13.0674571Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T08:56:13.0676350Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T08:56:13.0678081Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T08:56:13.0679963Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T08:56:13.0681547Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T08:56:13.0682976Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T08:56:13.0684745Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T08:56:13.0686461Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T08:56:13.0688115Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T08:56:13.0689827Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T08:56:13.0691520Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T08:56:13.0693272Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T08:56:13.0694910Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T08:56:13.0696567Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T08:56:13.0698419Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T08:56:13.0700180Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T08:56:13.0701702Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T08:56:13.0703387Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T08:56:13.0705130Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T08:56:13.0706776Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T08:56:13.0708502Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T08:56:13.0710265Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T08:56:13.0712044Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T08:56:13.0713878Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T08:56:13.0715821Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T08:56:13.0717453Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T08:56:13.0719183Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T08:56:13.0720899Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T08:56:13.0722622Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T08:56:13.0724433Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T08:56:13.0726071Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T08:56:13.0727520Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T08:56:13.0729205Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T08:56:13.0730883Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T08:56:13.0732632Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T08:56:13.0734331Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T08:56:13.0735851Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:56:13.0737424Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T08:56:13.0739115Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T08:56:13.0740771Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T08:56:13.0742604Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T08:56:13.0743920Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T08:56:13.0745743Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T08:56:13.0747661Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T08:56:13.0749594Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T08:56:13.0751238Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T08:56:13.0752809Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T08:56:13.0755386Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T08:56:13.0756970Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T08:56:13.0758693Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T08:56:13.0760396Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T08:56:13.0762133Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T08:56:13.0763848Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T08:56:13.0765531Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T08:56:13.0767150Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T08:56:13.0768902Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T08:56:13.0770619Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T08:56:13.0772394Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T08:56:13.0774025Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T08:56:13.0775726Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T08:56:13.0777386Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T08:56:13.0779078Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T08:56:13.0780875Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T08:56:13.0782485Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T08:56:13.0784258Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T08:56:13.0785951Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T08:56:13.0787628Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T08:56:13.0789612Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T08:56:13.0791304Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T08:56:13.0792936Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T08:56:13.0794732Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T08:56:13.0796509Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T08:56:13.0798183Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T08:56:13.0799870Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T08:56:13.0801498Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T08:56:13.0803016Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T08:56:13.0804744Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T08:56:13.0806533Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T08:56:13.0808260Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T08:56:13.0810049Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T08:56:13.0811755Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T08:56:13.0813718Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T08:56:13.0815580Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T08:56:13.0817239Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T08:56:13.0818971Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T08:56:13.0820728Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T08:56:13.0822589Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T08:56:13.0824417Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T08:56:13.0826206Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T08:56:13.0827991Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T08:56:13.0829714Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T08:56:13.0831521Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T08:56:13.0833450Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T08:56:13.0835629Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T08:56:13.0837214Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T08:56:13.0839123Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T08:56:13.0840821Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T08:56:13.0842600Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T08:56:13.0844466Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T08:56:13.0845948Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T08:56:13.0847882Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T08:56:13.0849686Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T08:56:13.0851343Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T08:56:13.0853101Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T08:56:13.0854943Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T08:56:13.0856573Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T08:56:13.0858408Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T08:56:13.0860014Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T08:56:13.0861918Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T08:56:13.0863633Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T08:56:13.0865263Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T08:56:13.0867427Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T08:56:13.0869161Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T08:56:13.0870959Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T08:56:13.0872698Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T08:56:13.0874562Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T08:56:13.0876330Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T08:56:13.0878024Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T08:56:13.0879815Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T08:56:13.0881633Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T08:56:13.0883467Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T08:56:13.0885560Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T08:56:13.0887241Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T08:56:13.0888819Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T08:56:13.0890655Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T08:56:13.0892512Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T08:56:13.0894073Z * [new tag] trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 2025-12-04T08:56:13.0895816Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T08:56:13.0897552Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T08:56:13.0899335Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T08:56:13.0901485Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T08:56:13.0903219Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T08:56:13.0904929Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T08:56:13.0906672Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T08:56:13.0908406Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T08:56:13.0910144Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T08:56:13.0911876Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T08:56:13.0913767Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T08:56:13.0915783Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T08:56:13.0917474Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T08:56:13.0919115Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T08:56:13.0920867Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T08:56:13.0922611Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T08:56:13.0924764Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T08:56:13.0926521Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T08:56:13.0928290Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:56:13.0929841Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T08:56:13.0931359Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T08:56:13.0932917Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T08:56:13.0934578Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T08:56:13.0936278Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T08:56:13.0938116Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T08:56:13.0939662Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T08:56:13.0941297Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T08:56:13.0942911Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T08:56:13.0944462Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T08:56:13.0946024Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T08:56:13.0947584Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T08:56:13.0949317Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T08:56:13.0951054Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T08:56:13.0952743Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T08:56:13.0954507Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T08:56:13.0956157Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T08:56:13.0958113Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T08:56:13.0959696Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T08:56:13.0961278Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T08:56:13.0962917Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T08:56:13.0964371Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T08:56:13.0965934Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T08:56:13.0967553Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T08:56:13.0969351Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T08:56:13.0971183Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T08:56:13.0972775Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T08:56:13.0974214Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T08:56:13.0975892Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T08:56:13.0977279Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T08:56:13.0978690Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T08:56:13.0980141Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T08:56:13.0981792Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T08:56:13.0983547Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T08:56:13.0985322Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T08:56:13.0987047Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T08:56:13.0988912Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T08:56:13.0990788Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T08:56:13.0992154Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T08:56:13.0993639Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T08:56:13.0995504Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T08:56:13.0997205Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T08:56:13.0998918Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T08:56:13.1000547Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T08:56:13.1002172Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T08:56:13.1003777Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T08:56:13.1005572Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T08:56:13.1006992Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T08:56:13.1008435Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T08:56:13.1009884Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T08:56:13.1011635Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T08:56:13.1013471Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T08:56:13.1018353Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T08:56:13.1020100Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T08:56:13.1021899Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T08:56:13.1023588Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T08:56:13.1025305Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T08:56:13.1027017Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T08:56:13.1028556Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T08:56:13.1030372Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T08:56:13.1031854Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T08:56:13.1033282Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T08:56:13.1035121Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T08:56:13.1036634Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T08:56:13.1038285Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T08:56:13.1039962Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T08:56:13.1041610Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T08:56:13.1043232Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T08:56:13.1044761Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T08:56:13.1046370Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T08:56:13.1048032Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T08:56:13.1049278Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T08:56:13.1051158Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T08:56:13.1052903Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T08:56:13.1054565Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T08:56:13.1056327Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T08:56:13.1057880Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T08:56:13.1059298Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T08:56:13.1061030Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T08:56:13.1062433Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T08:56:13.1063893Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T08:56:13.1065602Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T08:56:13.1067284Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T08:56:13.1068987Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T08:56:13.1070774Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T08:56:13.1072390Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T08:56:13.1073990Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T08:56:13.1075560Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T08:56:13.1077241Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T08:56:13.1078916Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T08:56:13.1080760Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T08:56:13.1082438Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T08:56:13.1083731Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T08:56:13.1085588Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T08:56:13.1087352Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T08:56:13.1089063Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T08:56:13.1090564Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T08:56:13.1092277Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T08:56:13.1093732Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T08:56:13.1095404Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T08:56:13.1097129Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T08:56:13.1098823Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T08:56:13.1100097Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T08:56:13.1101635Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T08:56:13.1103353Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T08:56:13.1104626Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T08:56:13.1106153Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T08:56:13.1108286Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T08:56:13.1109799Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T08:56:13.1111569Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T08:56:13.1113391Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T08:56:13.1115455Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T08:56:13.1117163Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T08:56:13.1118594Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T08:56:13.1128864Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T08:56:13.1129035Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T08:56:13.1129193Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T08:56:13.1129338Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T08:56:13.1129479Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T08:56:13.1129629Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T08:56:13.1129977Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T08:56:13.1131646Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T08:56:13.1133233Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T08:56:13.1134637Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T08:56:13.1136387Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T08:56:13.1138346Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T08:56:13.1139405Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T08:56:13.1141039Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T08:56:13.1142440Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T08:56:13.1144679Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T08:56:13.1146219Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T08:56:13.1147935Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T08:56:13.1149837Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T08:56:13.1151607Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T08:56:13.1153328Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T08:56:13.1154821Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T08:56:13.1156528Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T08:56:13.1158433Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T08:56:13.1160103Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T08:56:13.1161853Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T08:56:13.1163565Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T08:56:13.1165287Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T08:56:13.1166621Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T08:56:13.1168354Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T08:56:13.1170029Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T08:56:13.1171864Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T08:56:13.1173275Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T08:56:13.1174957Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T08:56:13.1176668Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T08:56:13.1178233Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T08:56:13.1179844Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T08:56:13.1181543Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T08:56:13.1183126Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T08:56:13.1184853Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T08:56:13.1186329Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T08:56:13.1187782Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T08:56:13.1189593Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T08:56:13.1191327Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T08:56:13.1192683Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T08:56:13.1194180Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T08:56:13.1195710Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T08:56:13.1197532Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T08:56:13.1198943Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T08:56:13.1200399Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T08:56:13.1202269Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T08:56:13.1203902Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T08:56:13.1205724Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T08:56:13.1207409Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T08:56:13.1208798Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T08:56:13.1210578Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T08:56:13.1212224Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T08:56:13.1214138Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T08:56:13.1215713Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T08:56:13.1217150Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T08:56:13.1218784Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T08:56:13.1220495Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T08:56:13.1221928Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T08:56:13.1223382Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T08:56:13.1225084Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T08:56:13.1226767Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T08:56:13.1228533Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T08:56:13.1230299Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T08:56:13.1232405Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T08:56:13.1234186Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T08:56:13.1235880Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T08:56:13.1237544Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T08:56:13.1239241Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T08:56:13.1240913Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T08:56:13.1242645Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T08:56:13.1244375Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T08:56:13.1246008Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T08:56:13.1247463Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T08:56:13.1249227Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T08:56:13.1250944Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T08:56:13.1252648Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T08:56:13.1254298Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T08:56:13.1256077Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T08:56:13.1257597Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T08:56:13.1259205Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T08:56:13.1260825Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T08:56:13.1262440Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T08:56:13.1264248Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T08:56:13.1265957Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T08:56:13.1267725Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T08:56:13.1269373Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T08:56:13.1271138Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T08:56:13.1272525Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T08:56:13.1274197Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T08:56:13.1275540Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T08:56:13.1277237Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T08:56:13.1278978Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T08:56:13.1280673Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T08:56:13.1282281Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T08:56:13.1284296Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T08:56:13.1286020Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T08:56:13.1287691Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T08:56:13.1289480Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T08:56:13.1291185Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T08:56:13.1293092Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T08:56:13.1294783Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T08:56:13.1296274Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T08:56:13.1298036Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T08:56:13.1299835Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T08:56:13.1301581Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T08:56:13.1303246Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T08:56:13.1304977Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T08:56:13.1306631Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T08:56:13.1308337Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T08:56:13.1310211Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T08:56:13.1311755Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T08:56:13.1313707Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T08:56:13.1315789Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T08:56:13.1317482Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T08:56:13.1319289Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T08:56:13.1320972Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T08:56:13.1322467Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T08:56:13.1324162Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T08:56:13.1325866Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T08:56:13.1327630Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T08:56:13.1329350Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T08:56:13.1331169Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T08:56:13.1333016Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T08:56:13.1334674Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T08:56:13.1336367Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T08:56:13.1338065Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T08:56:13.1339880Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T08:56:13.1342077Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T08:56:13.1343935Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T08:56:13.1346116Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T08:56:13.1347748Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T08:56:13.1349499Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T08:56:13.1351144Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T08:56:13.1353151Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T08:56:13.1355068Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T08:56:13.1356900Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T08:56:13.1358362Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T08:56:13.1359865Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T08:56:13.1361605Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T08:56:13.1363345Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T08:56:13.1365746Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T08:56:13.1367439Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T08:56:13.1369108Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T08:56:13.1370715Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T08:56:13.1372322Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T08:56:13.1373936Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T08:56:13.1375570Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T08:56:13.1377144Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T08:56:13.1379218Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T08:56:13.1381157Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T08:56:13.1383081Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T08:56:13.1384781Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T08:56:13.1386462Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T08:56:13.1388261Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T08:56:13.1389992Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T08:56:13.1391607Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T08:56:13.1393332Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T08:56:13.1395215Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T08:56:13.1397029Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T08:56:13.1398627Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T08:56:13.1400297Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T08:56:13.1401973Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T08:56:13.1403670Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T08:56:13.1405269Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T08:56:13.1407019Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T08:56:13.1408645Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T08:56:13.1410387Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T08:56:13.1412169Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T08:56:13.1413839Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T08:56:13.1418506Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T08:56:13.1420189Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T08:56:13.1422003Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T08:56:13.1423727Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T08:56:13.1425596Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T08:56:13.1427225Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T08:56:13.1428925Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T08:56:13.1430656Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T08:56:13.1432479Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T08:56:13.1434281Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T08:56:13.1436093Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T08:56:13.1437794Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T08:56:13.1439577Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T08:56:13.1441260Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T08:56:13.1442940Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T08:56:13.1444622Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T08:56:13.1446547Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T08:56:13.1448271Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T08:56:13.1450003Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T08:56:13.1451668Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T08:56:13.1453393Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T08:56:13.1455108Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T08:56:13.1456748Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T08:56:13.1458597Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T08:56:13.1460335Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T08:56:13.1462032Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T08:56:13.1463730Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T08:56:13.1465478Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T08:56:13.1467216Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T08:56:13.1468905Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T08:56:13.1470611Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T08:56:13.1472145Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T08:56:13.1474526Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T08:56:13.1476318Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T08:56:13.1478046Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T08:56:13.1479770Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T08:56:13.1481557Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T08:56:13.1483206Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T08:56:13.1484887Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T08:56:13.1486633Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T08:56:13.1488220Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T08:56:13.1489925Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T08:56:13.1491749Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T08:56:13.1493954Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T08:56:13.1495733Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T08:56:13.1497378Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T08:56:13.1499000Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T08:56:13.1500659Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T08:56:13.1502424Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T08:56:13.1504062Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T08:56:13.1505739Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T08:56:13.1507541Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T08:56:13.1509319Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T08:56:13.1510943Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T08:56:13.1512647Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T08:56:13.1514679Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T08:56:13.1516512Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T08:56:13.1518190Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T08:56:13.1519880Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T08:56:13.1521730Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T08:56:13.1523371Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T08:56:13.1525039Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T08:56:13.1527012Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T08:56:13.1528711Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T08:56:13.1530498Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T08:56:13.1532091Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T08:56:13.1533750Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T08:56:13.1535535Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T08:56:13.1537242Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T08:56:13.1539066Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T08:56:13.1540670Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T08:56:13.1542303Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T08:56:13.1544202Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T08:56:13.1545922Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T08:56:13.1547643Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T08:56:13.1549289Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T08:56:13.1551043Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T08:56:13.1552752Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T08:56:13.1554672Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T08:56:13.1556465Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T08:56:13.1558072Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T08:56:13.1559766Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T08:56:13.1561564Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T08:56:13.1563390Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T08:56:13.1565041Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T08:56:13.1566735Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T08:56:13.1568426Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T08:56:13.1570205Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T08:56:13.1571898Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T08:56:13.1573573Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T08:56:13.1575409Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T08:56:13.1577072Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T08:56:13.1578718Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T08:56:13.1580394Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T08:56:13.1582279Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T08:56:13.1584172Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T08:56:13.1585841Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T08:56:13.1587599Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T08:56:13.1589481Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T08:56:13.1591499Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T08:56:13.1592945Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T08:56:13.1594777Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T08:56:13.1596355Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T08:56:13.1597955Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T08:56:13.1599574Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T08:56:13.1601433Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T08:56:13.1603092Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T08:56:13.1605266Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T08:56:13.1606948Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T08:56:13.1608698Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T08:56:13.1610469Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T08:56:13.1612212Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T08:56:13.1614125Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T08:56:13.1616172Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T08:56:13.1617858Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T08:56:13.1619552Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T08:56:13.1621282Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T08:56:13.1623092Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T08:56:13.1625311Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T08:56:13.1627072Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T08:56:13.1628599Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T08:56:13.1630289Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T08:56:13.1632155Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T08:56:13.1633836Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T08:56:13.1635544Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T08:56:13.1637204Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T08:56:13.1638997Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T08:56:13.1640597Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T08:56:13.1642271Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T08:56:13.1643945Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T08:56:13.1645805Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T08:56:13.1647494Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T08:56:13.1649191Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T08:56:13.1650947Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T08:56:13.1652713Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T08:56:13.1654429Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T08:56:13.1657563Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T08:56:13.1659241Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T08:56:13.1660998Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T08:56:13.1662684Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T08:56:13.1664386Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T08:56:13.1666272Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T08:56:13.1667930Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T08:56:13.1669673Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T08:56:13.1671336Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T08:56:13.1673044Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T08:56:13.1674945Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T08:56:13.1676584Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T08:56:13.1678312Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T08:56:13.1680154Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T08:56:13.1681944Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T08:56:13.1683676Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T08:56:13.1685318Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T08:56:13.1687013Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T08:56:13.1688727Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T08:56:13.1690471Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T08:56:13.1692259Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T08:56:13.1693985Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T08:56:13.1695731Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T08:56:13.1697466Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T08:56:13.1699272Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T08:56:13.1700998Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T08:56:13.1702903Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T08:56:13.1704469Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T08:56:13.1706150Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T08:56:13.1707950Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T08:56:13.1709731Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T08:56:13.1711449Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T08:56:13.1713347Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T08:56:13.1715369Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T08:56:13.1717160Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T08:56:13.1719286Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T08:56:13.1720998Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T08:56:13.1722710Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T08:56:13.1724524Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T08:56:13.1726228Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T08:56:13.1727979Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T08:56:13.1729759Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T08:56:13.1731961Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T08:56:13.1733523Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T08:56:13.1735232Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T08:56:13.1737004Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T08:56:13.1738714Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T08:56:13.1740439Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T08:56:13.1742174Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T08:56:13.1743802Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T08:56:13.1745649Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T08:56:13.1747268Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T08:56:13.1748966Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T08:56:13.1750801Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T08:56:13.1752424Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T08:56:13.1754417Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T08:56:13.1756289Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T08:56:13.1758054Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T08:56:13.1759865Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T08:56:13.1761632Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T08:56:13.1763358Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T08:56:13.1765058Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T08:56:13.1767121Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T08:56:13.1768808Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T08:56:13.1770480Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T08:56:13.1772178Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T08:56:13.1773971Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T08:56:13.1775586Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T08:56:13.1777345Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T08:56:13.1779124Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T08:56:13.1780885Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T08:56:13.1782672Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T08:56:13.1784283Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T08:56:13.1786106Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T08:56:13.1787753Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T08:56:13.1789428Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T08:56:13.1791165Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T08:56:13.1793049Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T08:56:13.1795017Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T08:56:13.1796648Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T08:56:13.1798354Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T08:56:13.1800114Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T08:56:13.1801820Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T08:56:13.1803587Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T08:56:13.1805310Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T08:56:13.1807093Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T08:56:13.1808861Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T08:56:13.1810569Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T08:56:13.1812437Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T08:56:13.1814274Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T08:56:13.1818703Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T08:56:13.1820398Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T08:56:13.1822268Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T08:56:13.1824383Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T08:56:13.1826170Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T08:56:13.1828019Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T08:56:13.1829961Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T08:56:13.1832111Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T08:56:13.1834152Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T08:56:13.1836559Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T08:56:13.1838081Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T08:56:13.1839750Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T08:56:13.1841108Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T08:56:13.1842768Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T08:56:13.1844578Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T08:56:13.1846353Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T08:56:13.1847803Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T08:56:13.1849338Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T08:56:13.1851023Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T08:56:13.1852553Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T08:56:13.1854163Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T08:56:13.1855583Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T08:56:13.1857211Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T08:56:13.1858936Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T08:56:13.1860363Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T08:56:13.1861858Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T08:56:13.1863478Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T08:56:13.1865075Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T08:56:13.1866647Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T08:56:13.1868431Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T08:56:13.1870098Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T08:56:13.1871643Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T08:56:13.1873365Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T08:56:13.1875125Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T08:56:13.1876561Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T08:56:13.1877925Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T08:56:13.1879489Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T08:56:13.1881025Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T08:56:13.1882644Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T08:56:13.1884209Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T08:56:13.1885767Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T08:56:13.1887378Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T08:56:13.1888927Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T08:56:13.1890523Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T08:56:13.1892095Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T08:56:13.1893754Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T08:56:13.1895352Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T08:56:13.1896940Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T08:56:13.1898658Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T08:56:13.1900297Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T08:56:13.1901987Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T08:56:13.1903543Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T08:56:13.1905186Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T08:56:13.1906846Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T08:56:13.1908591Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T08:56:13.1910008Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T08:56:13.1911628Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T08:56:13.1913606Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T08:56:13.1915541Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T08:56:13.1917128Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T08:56:13.1919047Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T08:56:13.1920677Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T08:56:13.1922243Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T08:56:13.1923817Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T08:56:13.1925511Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T08:56:13.1927201Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T08:56:13.1928745Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T08:56:13.1930319Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T08:56:13.1932027Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T08:56:13.1933637Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T08:56:13.1935267Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T08:56:13.1936824Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T08:56:13.1938473Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T08:56:13.1940589Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T08:56:13.1942201Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T08:56:13.1943904Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T08:56:13.1945544Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T08:56:13.1947139Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T08:56:13.1948823Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T08:56:13.1950637Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T08:56:13.1952401Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T08:56:13.1953971Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T08:56:13.1955983Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T08:56:13.1958734Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T08:56:13.1959228Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T08:56:13.1960978Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T08:56:13.1962285Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T08:56:13.1964081Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T08:56:13.1965919Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T08:56:13.1967719Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T08:56:13.1969541Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T08:56:13.1971344Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T08:56:13.1973122Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T08:56:13.1974924Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T08:56:13.1976759Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T08:56:13.1978696Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T08:56:13.1980768Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T08:56:13.1982483Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T08:56:13.1984272Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T08:56:13.1986168Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T08:56:13.1987994Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T08:56:13.1989815Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T08:56:13.1991754Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T08:56:13.1993544Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T08:56:13.1995512Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T08:56:13.1997298Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T08:56:13.1999142Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T08:56:13.2000985Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T08:56:13.2003133Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T08:56:13.2004960Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T08:56:13.2006780Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T08:56:13.2008427Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T08:56:13.2010858Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T08:56:13.2012435Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T08:56:13.2014715Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T08:56:13.2016382Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T08:56:13.2018255Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T08:56:13.2020065Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T08:56:13.2021782Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T08:56:13.2023651Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T08:56:13.2025474Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T08:56:13.2027412Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T08:56:13.2029110Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T08:56:13.2030956Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T08:56:13.2032781Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T08:56:13.2034943Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T08:56:13.2036874Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T08:56:13.2038520Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T08:56:13.2040442Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T08:56:13.2042305Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T08:56:13.2043971Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T08:56:13.2046116Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T08:56:13.2047784Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T08:56:13.2049552Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T08:56:13.2051676Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T08:56:13.2053281Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T08:56:13.2055187Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T08:56:13.2057433Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T08:56:13.2059318Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T08:56:13.2061119Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T08:56:13.2063001Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T08:56:13.2064586Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T08:56:13.2066229Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T08:56:13.2067877Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T08:56:13.2069821Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T08:56:13.2071605Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T08:56:13.2073251Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T08:56:13.2075594Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T08:56:13.2077354Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T08:56:13.2079185Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T08:56:13.2080981Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T08:56:13.2082845Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T08:56:13.2084739Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T08:56:13.2086569Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T08:56:13.2088408Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T08:56:13.2090617Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T08:56:13.2092472Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T08:56:13.2094340Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T08:56:13.2096158Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T08:56:13.2097969Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T08:56:13.2099899Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T08:56:13.2101829Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T08:56:13.2103607Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T08:56:13.2105507Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T08:56:13.2107352Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T08:56:13.2109224Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T08:56:13.2111000Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T08:56:13.2112934Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T08:56:13.2115277Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T08:56:13.2117082Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T08:56:13.2118925Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T08:56:13.2120782Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T08:56:13.2122745Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T08:56:13.2124592Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T08:56:13.2126389Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T08:56:13.2128185Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T08:56:13.2130036Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T08:56:13.2131669Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T08:56:13.2133476Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T08:56:13.2135309Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T08:56:13.2136968Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T08:56:13.2138861Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T08:56:13.2140686Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T08:56:13.2142292Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T08:56:13.2144139Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T08:56:13.2145960Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T08:56:13.2147752Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T08:56:13.2149641Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T08:56:13.2151446Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T08:56:13.2153313Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T08:56:13.2155383Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T08:56:13.2157208Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T08:56:13.2159215Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T08:56:13.2161022Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T08:56:13.2162917Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T08:56:13.2164739Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T08:56:13.2166504Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T08:56:13.2168291Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T08:56:13.2170134Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T08:56:13.2171967Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T08:56:13.2173753Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T08:56:13.2176064Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T08:56:13.2177971Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T08:56:13.2179986Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T08:56:13.2181799Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T08:56:13.2183602Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T08:56:13.2185397Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T08:56:13.2187198Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T08:56:13.2189168Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T08:56:13.2191048Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T08:56:13.2192889Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T08:56:13.2194936Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T08:56:13.2196695Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T08:56:13.2198528Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T08:56:13.2200371Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T08:56:13.2202376Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T08:56:13.2204217Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T08:56:13.2206055Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T08:56:13.2207686Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T08:56:13.2209535Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T08:56:13.2211472Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T08:56:13.2213541Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T08:56:13.2215442Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T08:56:13.2217228Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T08:56:13.2219678Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T08:56:13.2221500Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T08:56:13.2223318Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T08:56:13.2224985Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T08:56:13.2226865Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T08:56:13.2228692Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T08:56:13.2230522Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T08:56:13.2232309Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T08:56:13.2233995Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T08:56:13.2235977Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T08:56:13.2237875Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T08:56:13.2239481Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T08:56:13.2241413Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T08:56:13.2243214Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T08:56:13.2245153Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T08:56:13.2247159Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T08:56:13.2248811Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T08:56:13.2250826Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T08:56:13.2252641Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T08:56:13.2254479Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T08:56:13.2256310Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T08:56:13.2257954Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T08:56:13.2259796Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T08:56:13.2261585Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T08:56:13.2263428Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T08:56:13.2265415Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T08:56:13.2267288Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T08:56:13.2269097Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T08:56:13.2271007Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T08:56:13.2273017Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T08:56:13.2274963Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T08:56:13.2276824Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T08:56:13.2278808Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T08:56:13.2280577Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T08:56:13.2282408Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T08:56:13.2284286Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T08:56:13.2286193Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T08:56:13.2288023Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T08:56:13.2289878Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T08:56:13.2291756Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T08:56:13.2293587Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T08:56:13.2295908Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T08:56:13.2297741Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T08:56:13.2299670Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T08:56:13.2301519Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T08:56:13.2303337Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T08:56:13.2305180Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T08:56:13.2307157Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T08:56:13.2308974Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T08:56:13.2310688Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T08:56:13.2312329Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T08:56:13.2314742Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T08:56:13.2319060Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T08:56:13.2320741Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T08:56:13.2322587Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T08:56:13.2324424Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T08:56:13.2326242Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T08:56:13.2328019Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T08:56:13.2329813Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T08:56:13.2332248Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T08:56:13.2334094Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T08:56:13.2336011Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T08:56:13.2337698Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T08:56:13.2339627Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T08:56:13.2341584Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T08:56:13.2343329Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T08:56:13.2344918Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T08:56:13.2346758Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T08:56:13.2348537Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T08:56:13.2360264Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T08:56:13.2360661Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T08:56:13.2361027Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T08:56:13.2361194Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T08:56:13.2361359Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T08:56:13.2361525Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T08:56:13.2361703Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T08:56:13.2363608Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T08:56:13.2365130Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T08:56:13.2366566Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T08:56:13.2368218Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T08:56:13.2369796Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T08:56:13.2371823Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T08:56:13.2373371Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T08:56:13.2374817Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T08:56:13.2376471Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T08:56:13.2378129Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T08:56:13.2379852Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T08:56:13.2381420Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T08:56:13.2383001Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T08:56:13.2384647Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T08:56:13.2386331Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T08:56:13.2387979Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T08:56:13.2389461Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T08:56:13.2391138Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T08:56:13.2392741Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T08:56:13.2394392Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T08:56:13.2395971Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T08:56:13.2397254Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T08:56:13.2399069Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T08:56:13.2400823Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T08:56:13.2402461Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T08:56:13.2404031Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T08:56:13.2405755Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T08:56:13.2407423Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T08:56:13.2409150Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T08:56:13.2411151Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T08:56:13.2412844Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T08:56:13.2414705Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T08:56:13.2415966Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T08:56:13.2417802Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T08:56:13.2419541Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T08:56:13.2421037Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T08:56:13.2422742Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T08:56:13.2424441Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T08:56:13.2426075Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T08:56:13.2427624Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T08:56:13.2429308Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T08:56:13.2430858Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T08:56:13.2432586Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T08:56:13.2434164Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T08:56:13.2435970Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T08:56:13.2437582Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T08:56:13.2439313Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T08:56:13.2440625Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T08:56:13.2442480Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T08:56:13.2444031Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T08:56:13.2445869Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T08:56:13.2447432Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T08:56:13.2449137Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T08:56:13.2450752Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T08:56:13.2452297Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T08:56:13.2453714Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T08:56:13.2455400Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T08:56:13.2457102Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T08:56:13.2458910Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T08:56:13.2460563Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T08:56:13.2462143Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T08:56:13.2463714Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T08:56:13.2465373Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T08:56:13.2466929Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T08:56:13.2468443Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T08:56:13.2469923Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T08:56:13.2471706Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T08:56:13.2473325Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T08:56:13.2475195Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T08:56:13.2476623Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T08:56:13.2478244Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T08:56:13.2479876Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T08:56:13.2481485Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T08:56:13.2483125Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T08:56:13.2484713Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T08:56:13.2486172Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T08:56:13.2487748Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T08:56:13.2489528Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T08:56:13.2491092Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T08:56:13.2492644Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T08:56:13.2494476Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T08:56:13.2495917Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T08:56:13.2497678Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T08:56:13.2499220Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T08:56:13.2500970Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T08:56:13.2502585Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T08:56:13.2504133Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T08:56:13.2506009Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T08:56:13.2507586Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T08:56:13.2509222Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T08:56:13.2510795Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T08:56:13.2512389Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T08:56:13.2514309Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T08:56:13.2516536Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T08:56:13.2518050Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T08:56:13.2519471Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T08:56:13.2521096Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T08:56:13.2522747Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T08:56:13.2524153Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T08:56:13.2525754Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T08:56:13.2527438Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T08:56:13.2529184Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T08:56:13.2530862Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T08:56:13.2532439Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T08:56:13.2534060Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T08:56:13.2535736Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T08:56:13.2537177Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T08:56:13.2538704Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T08:56:13.2540534Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T08:56:13.2542138Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T08:56:13.2543982Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T08:56:13.2545451Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T08:56:13.2546859Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T08:56:13.2548301Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T08:56:13.2549727Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T08:56:13.2551211Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T08:56:13.2552693Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T08:56:13.2554284Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T08:56:13.2555971Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T08:56:13.2557247Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T08:56:13.2558628Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T08:56:13.2560063Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T08:56:13.2561491Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T08:56:13.2562959Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T08:56:13.2564372Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T08:56:13.2565814Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T08:56:13.2567226Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T08:56:13.2568714Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T08:56:13.2570160Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T08:56:13.2571578Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T08:56:13.2573013Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T08:56:13.2574458Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T08:56:13.2575903Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T08:56:13.2577342Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T08:56:13.2578878Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T08:56:13.2580435Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T08:56:13.2582120Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T08:56:13.3770130Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T08:56:13.3802560Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:56:13.3807782Z ##[endgroup] 2025-12-04T08:56:13.3808040Z ##[group]Determining the checkout info 2025-12-04T08:56:13.3809725Z ##[endgroup] 2025-12-04T08:56:13.3814812Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T08:56:13.3858813Z 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You can look around, make experimental 2025-12-04T08:56:15.1714771Z changes and commit them, and you can discard any commits you make in this 2025-12-04T08:56:15.1715251Z state without impacting any branches by switching back to a branch. 2025-12-04T08:56:15.1715555Z 2025-12-04T08:56:15.1715752Z If you want to create a new branch to retain commits you create, you may 2025-12-04T08:56:15.1716196Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T08:56:15.1716461Z 2025-12-04T08:56:15.1716568Z git switch -c 2025-12-04T08:56:15.1716747Z 2025-12-04T08:56:15.1716852Z Or undo this operation with: 2025-12-04T08:56:15.1717016Z 2025-12-04T08:56:15.1717108Z git switch - 2025-12-04T08:56:15.1717264Z 2025-12-04T08:56:15.1717585Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T08:56:15.1717928Z 2025-12-04T08:56:15.1718170Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T08:56:15.1899387Z ##[endgroup] 2025-12-04T08:56:15.1900069Z ##[group]Setting up auth for fetching submodules 2025-12-04T08:56:15.1912180Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:56:15.1962788Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T08:56:15.1998261Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T08:56:15.2033578Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T08:56:15.2065669Z ##[endgroup] 2025-12-04T08:56:15.2066038Z ##[group]Fetching submodules 2025-12-04T08:56:15.2069823Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T08:56:15.2480653Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T08:56:15.2882444Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T08:56:15.2886361Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T08:56:15.2889985Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T08:56:15.2893729Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T08:56:15.2897448Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T08:56:15.2902356Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T08:56:15.2906520Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T08:56:15.2910272Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T08:56:15.2915395Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T08:56:15.2919845Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T08:56:15.2924147Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T08:56:15.2928484Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T08:56:15.2933046Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T08:56:15.2937678Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T08:56:15.2942290Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T08:56:15.2947955Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T08:56:15.2956205Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T08:56:15.2960987Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T08:56:15.2966006Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:56:15.2970947Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T08:56:15.2976090Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T08:56:15.2981151Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T08:56:15.2986544Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T08:56:15.2993311Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T08:56:15.2997686Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T08:56:15.3003085Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T08:56:15.3008648Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T08:56:15.3015673Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T08:56:15.3021608Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T08:56:15.3027211Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T08:56:15.3033127Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T08:56:15.3039380Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T08:56:15.3045295Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T08:56:15.3054764Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T08:56:15.3060948Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T08:56:15.3066962Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T08:56:15.3073263Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T08:56:15.3112567Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T08:56:15.5766931Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T08:56:15.5767879Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T08:56:15.5768847Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T08:56:15.5814023Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T08:56:18.9119945Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T08:56:18.9121021Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T08:56:18.9121980Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T08:56:18.9123325Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T08:56:18.9124737Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T08:56:18.9125815Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T08:56:18.9126891Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T08:56:18.9127921Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T08:56:18.9128998Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T08:56:18.9129930Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T08:56:18.9131212Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T08:56:18.9132275Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T08:56:18.9133293Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T08:56:18.9134239Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T08:56:18.9135378Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T08:56:18.9136499Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T08:56:18.9137552Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T08:56:18.9138782Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T08:56:18.9139894Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T08:56:19.0125212Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T08:56:19.8331290Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T08:56:19.8332311Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T08:56:19.9332606Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T08:56:21.7650464Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T08:56:21.7652238Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T08:56:21.7656027Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T08:56:21.8652456Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T08:56:39.2334505Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T08:56:39.2335224Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T08:56:39.2335901Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T08:56:39.2336550Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T08:56:39.2337156Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T08:56:39.2549045Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T08:56:39.2721055Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T08:56:39.2859841Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T08:56:39.3204369Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T08:56:39.4267907Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T08:56:39.4871915Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T08:56:40.4742086Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T08:56:40.6998981Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T08:56:40.7027210Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:56:40.7062014Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T08:56:46.2039462Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T08:56:46.2367810Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T08:56:46.7107417Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:56:46.7716596Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T08:56:46.8898127Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T08:56:46.9504936Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T08:56:47.7929793Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T08:56:48.0237656Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T08:56:48.0266275Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T08:56:48.0269126Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:56:48.0272848Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:56:48.0277156Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T08:56:48.0281356Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T08:56:48.0285758Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:56:48.0289611Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T08:56:48.0324779Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T08:56:49.2824736Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T08:56:49.2825540Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T08:56:49.2826287Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T08:56:49.3826328Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T08:56:53.1083816Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T08:56:53.2084124Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T08:56:56.0347541Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T08:56:56.5086619Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:56:56.6295737Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T08:56:57.4467852Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T08:56:57.5031696Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:56:57.5192064Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T08:56:57.6578259Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T08:56:57.7530347Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T08:56:57.7557814Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:56:57.7560767Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:56:57.7594844Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T08:57:02.5441575Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T08:57:02.8786001Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T08:57:03.5997747Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T08:57:03.7848681Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T08:57:03.8223162Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T08:57:03.8707113Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T08:57:03.9060751Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T08:57:03.9620146Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:57:03.9803964Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T08:57:03.9828636Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T08:57:03.9862993Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T08:57:20.5092835Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T08:57:20.5373181Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T08:57:20.6398605Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T08:57:20.6427054Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:57:20.6429411Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:57:20.6433477Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:57:20.6469437Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T08:57:21.6592279Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T08:57:22.1974454Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T08:57:22.3076928Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T08:57:22.3102353Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:57:22.3106414Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:57:22.3111090Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:57:22.3116348Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:57:22.3121191Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:57:22.3125815Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:57:22.3130780Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:57:22.3136509Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:57:22.3141668Z 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' 2025-12-04T08:57:22.3180880Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T08:57:24.2138733Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T08:57:24.2139888Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T08:57:24.2140938Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T08:57:24.2142218Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T08:57:24.2143553Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T08:57:24.2144590Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T08:57:24.2145598Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T08:57:24.3138774Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T08:57:30.5939831Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T08:57:30.6192516Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T08:57:30.6651827Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T08:57:30.6846710Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T08:57:30.6870332Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 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'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:57:54.5832507Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:57:54.5904255Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:57:54.5968091Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:57:54.6029751Z Entering 'third_party/kleidiai' 2025-12-04T08:57:54.6088972Z Entering 'third_party/mimalloc' 2025-12-04T08:57:54.6153848Z Entering 'third_party/nlohmann' 2025-12-04T08:57:54.6225910Z Entering 'third_party/onnx' 2025-12-04T08:57:54.6309948Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:57:54.6375969Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:57:54.6445560Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:57:54.6501826Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:57:54.6563677Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:57:54.6624340Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:57:54.6682502Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:57:54.6740885Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:57:54.6799098Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:57:54.6854959Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:57:54.6920851Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:57:54.6986076Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:57:54.7068313Z Entering 'third_party/pocketfft' 2025-12-04T08:57:54.7131507Z Entering 'third_party/protobuf' 2025-12-04T08:57:54.7191417Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:57:54.7251335Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:57:54.7317334Z Entering 'third_party/psimd' 2025-12-04T08:57:54.7386264Z Entering 'third_party/pthreadpool' 2025-12-04T08:57:54.7446524Z Entering 'third_party/pybind11' 2025-12-04T08:57:54.7506914Z Entering 'third_party/python-peachpy' 2025-12-04T08:57:54.7570157Z Entering 'third_party/sleef' 2025-12-04T08:57:54.7634638Z Entering 'third_party/tensorpipe' 2025-12-04T08:57:54.7697109Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:57:54.7756361Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:57:54.7812541Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:57:54.7876341Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:57:54.7934848Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:57:54.8024556Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T08:57:54.8421522Z Entering 'android/libs/fbjni' 2025-12-04T08:57:54.8480108Z Entering 'third_party/FP16' 2025-12-04T08:57:54.8537597Z Entering 'third_party/FXdiv' 2025-12-04T08:57:54.8598472Z Entering 'third_party/NNPACK' 2025-12-04T08:57:54.8661840Z Entering 'third_party/NVTX' 2025-12-04T08:57:54.8727848Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:57:54.8788828Z Entering 'third_party/XNNPACK' 2025-12-04T08:57:54.8866356Z Entering 'third_party/aiter' 2025-12-04T08:57:54.8941944Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:57:54.9018576Z Entering 'third_party/benchmark' 2025-12-04T08:57:54.9089285Z Entering 'third_party/composable_kernel' 2025-12-04T08:57:54.9159199Z Entering 'third_party/cpp-httplib' 2025-12-04T08:57:54.9232666Z Entering 'third_party/cpuinfo' 2025-12-04T08:57:54.9323359Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:57:54.9381555Z Entering 'third_party/cutlass' 2025-12-04T08:57:54.9479418Z Entering 'third_party/fbgemm' 2025-12-04T08:57:54.9543492Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:57:54.9599889Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:57:54.9665390Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:57:54.9723583Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:57:54.9791324Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:57:54.9847942Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:57:54.9905143Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:57:54.9975327Z Entering 'third_party/flash-attention' 2025-12-04T08:57:55.0035293Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:57:55.0099641Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:57:55.0169162Z Entering 'third_party/flatbuffers' 2025-12-04T08:57:55.0232598Z Entering 'third_party/fmt' 2025-12-04T08:57:55.0297141Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:57:55.0357393Z Entering 'third_party/gloo' 2025-12-04T08:57:55.0418630Z Entering 'third_party/googletest' 2025-12-04T08:57:55.0479428Z Entering 'third_party/ideep' 2025-12-04T08:57:55.0536567Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:57:55.0604856Z Entering 'third_party/ittapi' 2025-12-04T08:57:55.0665294Z Entering 'third_party/kineto' 2025-12-04T08:57:55.0727132Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:57:55.0784364Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:57:55.0844325Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:57:55.0902756Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:57:55.0963327Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:57:55.1018730Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:57:55.1083430Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:57:55.1142269Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:57:55.1202189Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:57:55.1263166Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:57:55.1320685Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:57:55.1376873Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:57:55.1438654Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:57:55.1509945Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:57:55.1568946Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:57:55.1630648Z Entering 'third_party/kleidiai' 2025-12-04T08:57:55.1690578Z Entering 'third_party/mimalloc' 2025-12-04T08:57:55.1751641Z Entering 'third_party/nlohmann' 2025-12-04T08:57:55.1817098Z Entering 'third_party/onnx' 2025-12-04T08:57:55.1893593Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:57:55.1958833Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:57:55.2019883Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:57:55.2077997Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:57:55.2135276Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:57:55.2191345Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:57:55.2254003Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:57:55.2308701Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:57:55.2364940Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:57:55.2420861Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:57:55.2481173Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:57:55.2544599Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:57:55.2627495Z Entering 'third_party/pocketfft' 2025-12-04T08:57:55.2687191Z Entering 'third_party/protobuf' 2025-12-04T08:57:55.2750118Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:57:55.2808846Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:57:55.2870884Z Entering 'third_party/psimd' 2025-12-04T08:57:55.2932794Z Entering 'third_party/pthreadpool' 2025-12-04T08:57:55.2992562Z Entering 'third_party/pybind11' 2025-12-04T08:57:55.3056498Z Entering 'third_party/python-peachpy' 2025-12-04T08:57:55.3120120Z Entering 'third_party/sleef' 2025-12-04T08:57:55.3179831Z Entering 'third_party/tensorpipe' 2025-12-04T08:57:55.3238361Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:57:55.3295335Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:57:55.3353572Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:57:55.3410952Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:57:55.3466277Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:57:55.3550182Z ##[endgroup] 2025-12-04T08:57:55.3597507Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T08:57:55.3626922Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:55.3764070Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T08:57:55.3764390Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:57:55.3764663Z # Clean stale submodule dirs 2025-12-04T08:57:55.3764951Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:57:55.3765299Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T08:57:55.3765634Z else 2025-12-04T08:57:55.3765918Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T08:57:55.3766241Z fi 2025-12-04T08:57:55.3776877Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:55.3777217Z env: 2025-12-04T08:57:55.3777419Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:55.3777672Z NO_SUDO: true 2025-12-04T08:57:55.3777883Z ##[endgroup] 2025-12-04T08:57:55.4205297Z Entering 'android/libs/fbjni' 2025-12-04T08:57:55.4252953Z Entering 'third_party/FP16' 2025-12-04T08:57:55.4298724Z Entering 'third_party/FXdiv' 2025-12-04T08:57:55.4343433Z Entering 'third_party/NNPACK' 2025-12-04T08:57:55.4392802Z Entering 'third_party/NVTX' 2025-12-04T08:57:55.4447182Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:57:55.4495367Z Entering 'third_party/XNNPACK' 2025-12-04T08:57:55.4651364Z Entering 'third_party/aiter' 2025-12-04T08:57:55.4713786Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:57:55.4862674Z Entering 'third_party/benchmark' 2025-12-04T08:57:55.4909988Z Entering 'third_party/composable_kernel' 2025-12-04T08:57:55.5076798Z Entering 'third_party/cpp-httplib' 2025-12-04T08:57:55.5124676Z Entering 'third_party/cpuinfo' 2025-12-04T08:57:55.5176367Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:57:55.5226429Z Entering 'third_party/cutlass' 2025-12-04T08:57:55.5363495Z Entering 'third_party/fbgemm' 2025-12-04T08:57:55.5446029Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:57:55.5490063Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:57:55.5647095Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:57:55.5696068Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:57:55.5827315Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:57:55.5873504Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:57:55.5913869Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:57:55.5976876Z Entering 'third_party/flash-attention' 2025-12-04T08:57:55.6034465Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:57:55.6166704Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:57:55.6290779Z Entering 'third_party/flatbuffers' 2025-12-04T08:57:55.6389231Z Entering 'third_party/fmt' 2025-12-04T08:57:55.6438552Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:57:55.6486003Z Entering 'third_party/gloo' 2025-12-04T08:57:55.6535138Z Entering 'third_party/googletest' 2025-12-04T08:57:55.6582957Z Entering 'third_party/ideep' 2025-12-04T08:57:55.6625750Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:57:55.6737023Z Entering 'third_party/ittapi' 2025-12-04T08:57:55.6786134Z Entering 'third_party/kineto' 2025-12-04T08:57:55.6836087Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:57:55.6887538Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:57:55.6957812Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:57:55.7002790Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:57:55.7048475Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:57:55.7088569Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:57:55.7134097Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:57:55.7177391Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:57:55.7224260Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:57:55.7279852Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:57:55.7323468Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:57:55.7367030Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:57:55.7434568Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:57:55.7490274Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:57:55.7534784Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:57:55.7584613Z Entering 'third_party/kleidiai' 2025-12-04T08:57:55.7640508Z Entering 'third_party/mimalloc' 2025-12-04T08:57:55.7689379Z Entering 'third_party/nlohmann' 2025-12-04T08:57:55.7751994Z Entering 'third_party/onnx' 2025-12-04T08:57:55.8222559Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:57:55.8275273Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:57:55.8352827Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:57:55.8405061Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:57:55.8451936Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:57:55.8493640Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:57:55.8555488Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:57:55.8599143Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:57:55.8643982Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:57:55.8687256Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:57:55.8754726Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:57:55.8804203Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:57:55.9167802Z Entering 'third_party/pocketfft' 2025-12-04T08:57:55.9212694Z Entering 'third_party/protobuf' 2025-12-04T08:57:55.9323669Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:57:55.9367769Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:57:55.9420000Z Entering 'third_party/psimd' 2025-12-04T08:57:55.9464217Z Entering 'third_party/pthreadpool' 2025-12-04T08:57:55.9508280Z Entering 'third_party/pybind11' 2025-12-04T08:57:55.9558771Z Entering 'third_party/python-peachpy' 2025-12-04T08:57:55.9608295Z Entering 'third_party/sleef' 2025-12-04T08:57:55.9659087Z Entering 'third_party/tensorpipe' 2025-12-04T08:57:55.9707173Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:57:55.9757317Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:57:55.9800849Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:57:55.9849514Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:57:55.9891082Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:57:56.0060158Z Prepare all required actions 2025-12-04T08:57:56.0060645Z Getting action download info 2025-12-04T08:57:56.1460066Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T08:57:56.1460341Z env: 2025-12-04T08:57:56.1460531Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:56.1460758Z ##[endgroup] 2025-12-04T08:57:56.1497842Z ##[group]Run set -euo pipefail 2025-12-04T08:57:56.1498135Z set -euo pipefail 2025-12-04T08:57:56.1498397Z function get_ec2_metadata() { 2025-12-04T08:57:56.1498733Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T08:57:56.1499294Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T08:57:56.1499783Z  category=$1 2025-12-04T08:57:56.1500108Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T08:57:56.1500512Z  runner_name_str=i-047fb8a5d8c8ef107 2025-12-04T08:57:56.1500837Z  if [[ -f /.inarc ]]; then 2025-12-04T08:57:56.1501140Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T08:57:56.1501492Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T08:57:56.1501945Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T08:57:56.1502317Z  else 2025-12-04T08:57:56.1503060Z  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}" 2025-12-04T08:57:56.1503846Z  fi 2025-12-04T08:57:56.1504033Z } 2025-12-04T08:57:56.1504272Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T08:57:56.1504642Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T08:57:56.1505068Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T08:57:56.1505444Z echo "system info $(uname -a)" 2025-12-04T08:57:56.1515960Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:56.1516343Z env: 2025-12-04T08:57:56.1516557Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:56.1516808Z ##[endgroup] 2025-12-04T08:57:56.1697524Z ami-id: ami-08982f1c5bf93d976 2025-12-04T08:57:56.1823095Z instance-id: i-047fb8a5d8c8ef107 2025-12-04T08:57:56.1941518Z instance-type: g5.4xlarge 2025-12-04T08:57:56.1958177Z system info Linux ip-10-0-60-14.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 2025-12-04T08:57:56.1981093Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:57:56.1981537Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:57:56.1991697Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:56.1992033Z env: 2025-12-04T08:57:56.1992410Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:56.1992653Z ##[endgroup] 2025-12-04T08:57:57.8037537Z Thu Dec 4 08:57:57 2025 2025-12-04T08:57:57.8037957Z +-----------------------------------------------------------------------------------------+ 2025-12-04T08:57:57.8038451Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T08:57:57.8038918Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T08:57:57.8039388Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T08:57:57.8039916Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T08:57:57.8040327Z | | | MIG M. | 2025-12-04T08:57:57.8040642Z |=========================================+========================+======================| 2025-12-04T08:57:57.8134444Z | 0 NVIDIA A10G Off | 00000000:00:1E.0 Off | 0 | 2025-12-04T08:57:57.8135230Z | 0% 21C P0 52W / 300W | 0MiB / 23028MiB | 3% Default | 2025-12-04T08:57:57.8135605Z | | | N/A | 2025-12-04T08:57:57.8135974Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T08:57:57.8136274Z 2025-12-04T08:57:57.8136444Z +-----------------------------------------------------------------------------------------+ 2025-12-04T08:57:57.8136862Z | Processes: | 2025-12-04T08:57:57.8137285Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T08:57:57.8137670Z | ID ID Usage | 2025-12-04T08:57:57.8137998Z |=========================================================================================| 2025-12-04T08:57:57.8140348Z | No running processes found | 2025-12-04T08:57:57.8140809Z +-----------------------------------------------------------------------------------------+ 2025-12-04T08:57:58.2408310Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:57:58.2409144Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:57:58.2420983Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:58.2421310Z env: 2025-12-04T08:57:58.2421511Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:58.2421747Z ##[endgroup] 2025-12-04T08:57:58.2493610Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T08:57:58.2494243Z if systemctl is-active --quiet docker; then 2025-12-04T08:57:58.2494831Z  echo "Docker daemon is running..."; 2025-12-04T08:57:58.2495311Z else 2025-12-04T08:57:58.2495816Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T08:57:58.2496420Z fi 2025-12-04T08:57:58.2509328Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:58.2509847Z env: 2025-12-04T08:57:58.2510142Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:58.2510509Z ##[endgroup] 2025-12-04T08:57:58.2611023Z Docker daemon is running... 2025-12-04T08:57:58.2662885Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T08:57:58.2663166Z with: 2025-12-04T08:57:58.2663353Z shell: bash 2025-12-04T08:57:58.2663563Z timeout_minutes: 5 2025-12-04T08:57:58.2663789Z max_attempts: 3 2025-12-04T08:57:58.2664006Z retry_wait_seconds: 30 2025-12-04T08:57:58.2666005Z command: AWS_ACCOUNT_ID=$(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 2025-12-04T08:57:58.2668173Z polling_interval_seconds: 1 2025-12-04T08:57:58.2668436Z warning_on_retry: true 2025-12-04T08:57:58.2668735Z continue_on_error: false 2025-12-04T08:57:58.2668963Z env: 2025-12-04T08:57:58.2669161Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:58.2669449Z AWS_RETRY_MODE: standard 2025-12-04T08:57:58.2669685Z AWS_MAX_ATTEMPTS: 5 2025-12-04T08:57:58.2669926Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T08:57:58.2670179Z ##[endgroup] 2025-12-04T08:57:59.4026697Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:57:59.4027601Z Configure a credential helper to remove this warning. See 2025-12-04T08:57:59.4028119Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:57:59.4028471Z 2025-12-04T08:57:59.4028565Z Login Succeeded 2025-12-04T08:58:00.3527905Z Command completed after 1 attempt(s). 2025-12-04T08:58:00.3600773Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:58:00.3601325Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:58:00.3601741Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:58:00.3614035Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:00.3614369Z env: 2025-12-04T08:58:00.3614554Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:00.3614784Z ##[endgroup] 2025-12-04T08:58:00.3715258Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:58:00.3715780Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:58:00.3716175Z # shellcheck disable=SC2046 2025-12-04T08:58:00.3716481Z docker stop $(docker ps -q) || true 2025-12-04T08:58:00.3716794Z # Prune all of the docker images 2025-12-04T08:58:00.3717086Z docker system prune -af 2025-12-04T08:58:00.3726402Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:00.3726745Z env: 2025-12-04T08:58:00.3726948Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:00.3727186Z ##[endgroup] 2025-12-04T08:58:00.4040551Z "docker stop" requires at least 1 argument. 2025-12-04T08:58:00.4040994Z See 'docker stop --help'. 2025-12-04T08:58:00.4041160Z 2025-12-04T08:58:00.4041318Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T08:58:00.4041556Z 2025-12-04T08:58:00.4041654Z Stop one or more running containers 2025-12-04T08:58:00.4272051Z Total reclaimed space: 0B 2025-12-04T08:58:00.4450207Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T08:58:00.4450674Z with: 2025-12-04T08:58:00.4451392Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:00.4452209Z use-custom-docker-registry: true 2025-12-04T08:58:00.4452497Z docker-build-dir: .ci/docker 2025-12-04T08:58:00.4452769Z docker-build-script: ./build.sh 2025-12-04T08:58:00.4453035Z working-directory: . 2025-12-04T08:58:00.4453357Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:00.4453718Z force-push: false 2025-12-04T08:58:00.4453916Z env: 2025-12-04T08:58:00.4454120Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:00.4454359Z ##[endgroup] 2025-12-04T08:58:00.4487565Z ##[group]Run set -ex 2025-12-04T08:58:00.4487829Z set -ex 2025-12-04T08:58:00.4488044Z  2025-12-04T08:58:00.4488436Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T08:58:00.4489187Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T08:58:00.4489688Z # job could then download the pre-built image as usual 2025-12-04T08:58:00.4490293Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T08:58:00.4490861Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:00.4491145Z else 2025-12-04T08:58:00.4491376Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:00.4491769Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:00.4492119Z  2025-12-04T08:58:00.4492652Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T08:58:00.4493204Z  exit 0 2025-12-04T08:58:00.4493406Z fi 2025-12-04T08:58:00.4493582Z  2025-12-04T08:58:00.4493882Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T08:58:00.4494410Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T08:58:00.4494872Z  # use it as it is, but first let's extract the tag 2025-12-04T08:58:00.4495299Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T08:58:00.4495750Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:00.4496180Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:00.4496528Z else 2025-12-04T08:58:00.4496770Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T08:58:00.4497112Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T08:58:00.4497468Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T08:58:00.4497760Z  fi 2025-12-04T08:58:00.4498157Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T08:58:00.4498690Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:00.4499247Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:00.4499861Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:00.4500233Z fi 2025-12-04T08:58:00.4510545Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:00.4510872Z env: 2025-12-04T08:58:00.4511059Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:00.4511294Z REPO_NAME: pytorch 2025-12-04T08:58:00.4512168Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:00.4513026Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:58:00.4513590Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T08:58:00.4513937Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:00.4514366Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T08:58:00.4514621Z CUSTOM_TAG_PREFIX: 2025-12-04T08:58:00.4514835Z ##[endgroup] 2025-12-04T08:58:00.4545829Z + [[ -d .ci/docker ]] 2025-12-04T08:58:00.4546535Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T08:58:00.4546964Z + [[ true == \t\r\u\e ]] 2025-12-04T08:58:00.4547296Z + echo skip=false 2025-12-04T08:58:00.4548626Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-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* ]] 2025-12-04T08:58:00.4555528Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:00.4556534Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T08:58:00.4584601Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:00.4585415Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:00.4586468Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:00.4612063Z ##[group]Run set +e 2025-12-04T08:58:00.4612336Z set +e 2025-12-04T08:58:00.4612541Z set -x 2025-12-04T08:58:00.4612744Z  2025-12-04T08:58:00.4612940Z login() { 2025-12-04T08:58:00.4613771Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:58:00.4614238Z } 2025-12-04T08:58:00.4614442Z  2025-12-04T08:58:00.4614641Z retry () { 2025-12-04T08:58:00.4614888Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:58:00.4615178Z } 2025-12-04T08:58:00.4615367Z  2025-12-04T08:58:00.4615583Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:58:00.4615856Z  2025-12-04T08:58:00.4616048Z START_TIME=$(date +%s) 2025-12-04T08:58:00.4616301Z # Wait up to 120 minutes 2025-12-04T08:58:00.4616638Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T08:58:00.4617075Z  # Check if image already exists, if it does then skip building it 2025-12-04T08:58:00.4617511Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T08:58:00.4617825Z  exit 0 2025-12-04T08:58:00.4618036Z  fi 2025-12-04T08:58:00.4618226Z  2025-12-04T08:58:00.4618565Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T08:58:00.4619161Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T08:58:00.4619738Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T08:58:00.4620197Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T08:58:00.4620543Z  # It's a Docker build job, let's build the image 2025-12-04T08:58:00.4620845Z  break 2025-12-04T08:58:00.4621045Z  else 2025-12-04T08:58:00.4621348Z  # It's a regular build job, wait for the image to become available 2025-12-04T08:58:00.4621716Z  sleep 300 2025-12-04T08:58:00.4621938Z  fi 2025-12-04T08:58:00.4622129Z done 2025-12-04T08:58:00.4622307Z  2025-12-04T08:58:00.4622613Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T08:58:00.4623307Z # be empty. The default action would be to continue rebuild the image 2025-12-04T08:58:00.4623775Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T08:58:00.4624181Z  # if we're on the base branch then use the parent commit 2025-12-04T08:58:00.4624536Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T08:58:00.4624809Z else 2025-12-04T08:58:00.4625093Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T08:58:00.4625513Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T08:58:00.4625825Z fi 2025-12-04T08:58:00.4626000Z  2025-12-04T08:58:00.4626215Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T08:58:00.4626534Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:00.4626816Z  2025-12-04T08:58:00.4627222Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T08:58:00.4627707Z  exit 0 2025-12-04T08:58:00.4628039Z fi 2025-12-04T08:58:00.4628219Z  2025-12-04T08:58:00.4628497Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T08:58:00.4629107Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T08:58:00.4629610Z  exit 1 2025-12-04T08:58:00.4629807Z fi 2025-12-04T08:58:00.4629992Z  2025-12-04T08:58:00.4630306Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T08:58:00.4630897Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T08:58:00.4631417Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T08:58:00.4632015Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T08:58:00.4632745Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T08:58:00.4633143Z fi 2025-12-04T08:58:00.4633326Z  2025-12-04T08:58:00.4633562Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:00.4642725Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:00.4643058Z env: 2025-12-04T08:58:00.4643252Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:00.4643493Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:58:00.4643811Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:58:00.4644640Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:00.4645661Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:00.4646266Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:00.4646612Z DOCKER_PUSH: 2025-12-04T08:58:00.4646821Z ##[endgroup] 2025-12-04T08:58:00.4676349Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:00.4676753Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:00.4679482Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:58:00.4681310Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:00.9811521Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:58:00.9812538Z Configure a credential helper to remove this warning. See 2025-12-04T08:58:00.9813425Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:58:00.9813893Z 2025-12-04T08:58:00.9814115Z Login Succeeded 2025-12-04T08:58:00.9840350Z ++ date +%s 2025-12-04T08:58:00.9854019Z + START_TIME=1764838680 2025-12-04T08:58:00.9858445Z ++ date +%s 2025-12-04T08:58:00.9872113Z + [[ 1764831480 -lt 1764838680 ]] 2025-12-04T08:58:00.9872987Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:01.2534895Z { 2025-12-04T08:58:01.2535752Z "schemaVersion": 2, 2025-12-04T08:58:01.2536746Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T08:58:01.2537276Z "config": { 2025-12-04T08:58:01.2537663Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T08:58:01.2538127Z "size": 34864, 2025-12-04T08:58:01.2538667Z "digest": "sha256:add7313791033822205cdb3cf32096534b2cfaa4855bd48119b59000bfe00301" 2025-12-04T08:58:01.2539215Z }, 2025-12-04T08:58:01.2539436Z "layers": [ 2025-12-04T08:58:01.2539673Z { 2025-12-04T08:58:01.2540079Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2540567Z "size": 30447951, 2025-12-04T08:58:01.2541088Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T08:58:01.2542000Z }, 2025-12-04T08:58:01.2542240Z { 2025-12-04T08:58:01.2542662Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2543164Z "size": 1554, 2025-12-04T08:58:01.2543647Z "digest": "sha256:0678d56345c994444b77bb70b1177189d23e794748b1d75ffc45d227c7dea94a" 2025-12-04T08:58:01.2544188Z }, 2025-12-04T08:58:01.2544413Z { 2025-12-04T08:58:01.2544805Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2545295Z "size": 313275661, 2025-12-04T08:58:01.2545833Z "digest": "sha256:45f5c9ddfce78349dff3d5edfbaa0310ae17311f66abdcd7e00fa21b500e801c" 2025-12-04T08:58:01.2546417Z }, 2025-12-04T08:58:01.2546638Z { 2025-12-04T08:58:01.2547021Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2547510Z "size": 787, 2025-12-04T08:58:01.2548001Z "digest": "sha256:086b1df51ac1162d9c45698e9dfaf91c6c222c8bd9ab01797ac8f9344bc8044f" 2025-12-04T08:58:01.2548550Z }, 2025-12-04T08:58:01.2548777Z { 2025-12-04T08:58:01.2549153Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2549629Z "size": 106, 2025-12-04T08:58:01.2550137Z "digest": "sha256:fe8a7b64bf98352f89057bcba66beef2fb44cc05fbd3606abccd8e86cf476234" 2025-12-04T08:58:01.2550717Z }, 2025-12-04T08:58:01.2550933Z { 2025-12-04T08:58:01.2551325Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2551815Z "size": 703, 2025-12-04T08:58:01.2552298Z "digest": 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"sha256:83779ddf6a85ab387f64a45f274cba245b69e4fd1931ff0b5d7d3efd4b7a43bc" 2025-12-04T08:58:01.2656677Z }, 2025-12-04T08:58:01.2656831Z { 2025-12-04T08:58:01.2657216Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2657580Z "size": 724, 2025-12-04T08:58:01.2657931Z "digest": "sha256:3541df015cdb7e8925273399d28e56c31b3c9196f00439ac2925537b173b1f84" 2025-12-04T08:58:01.2658321Z }, 2025-12-04T08:58:01.2658475Z { 2025-12-04T08:58:01.2658753Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2659105Z "size": 155, 2025-12-04T08:58:01.2659464Z "digest": "sha256:8b7620c0d736cc79381207ce5afe2af90f0cd7f0cd394577d2c9520d7f74762f" 2025-12-04T08:58:01.2659868Z }, 2025-12-04T08:58:01.2660017Z { 2025-12-04T08:58:01.2660297Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2660650Z "size": 32, 2025-12-04T08:58:01.2661002Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:58:01.2661411Z }, 2025-12-04T08:58:01.2661568Z { 2025-12-04T08:58:01.2661847Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2662313Z "size": 188, 2025-12-04T08:58:01.2662678Z "digest": "sha256:3bcfa090e4efd3677425f76baea9f1e0c50a75d8c6b5713ec05310f1dff24539" 2025-12-04T08:58:01.2663084Z }, 2025-12-04T08:58:01.2663239Z { 2025-12-04T08:58:01.2663521Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2663872Z "size": 1370, 2025-12-04T08:58:01.2664240Z "digest": "sha256:eb0504ec4d9218a79896b604f73dc0ea5a0f96266ad9c2cdbbbe5f0f18222694" 2025-12-04T08:58:01.2664650Z }, 2025-12-04T08:58:01.2664799Z { 2025-12-04T08:58:01.2665079Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2665432Z "size": 32, 2025-12-04T08:58:01.2665791Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:58:01.2666194Z }, 2025-12-04T08:58:01.2666350Z { 2025-12-04T08:58:01.2666630Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2666985Z "size": 136, 2025-12-04T08:58:01.2667351Z "digest": "sha256:15d0fec09d7b196a1462d51516ee90fc3443ba178d3e56d59cacf32146b4321d" 2025-12-04T08:58:01.2667755Z }, 2025-12-04T08:58:01.2667905Z { 2025-12-04T08:58:01.2668190Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2668550Z "size": 528, 2025-12-04T08:58:01.2668908Z "digest": "sha256:cca81fcc62a949959ca4dd3c9056fb293d548ef8607127eeeef6cfd3a8897ca8" 2025-12-04T08:58:01.2669321Z }, 2025-12-04T08:58:01.2669476Z { 2025-12-04T08:58:01.2669751Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2670107Z "size": 32, 2025-12-04T08:58:01.2670468Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:58:01.2670881Z }, 2025-12-04T08:58:01.2671032Z { 2025-12-04T08:58:01.2671314Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2671672Z "size": 104, 2025-12-04T08:58:01.2672038Z "digest": "sha256:b0b8f9b5c6ab98db9cd830dc584e1b6aec9add139e4cc48d8c243d36691e25b4" 2025-12-04T08:58:01.2672461Z }, 2025-12-04T08:58:01.2672620Z { 2025-12-04T08:58:01.2672896Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2673251Z "size": 435, 2025-12-04T08:58:01.2673605Z "digest": "sha256:0606ca4d47a8a70e91e92b03ca51a85e731641b09342136a54ef2f2a6d9dfb44" 2025-12-04T08:58:01.2674001Z }, 2025-12-04T08:58:01.2674235Z { 2025-12-04T08:58:01.2674525Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2674888Z "size": 32, 2025-12-04T08:58:01.2675246Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:58:01.2675661Z }, 2025-12-04T08:58:01.2675821Z { 2025-12-04T08:58:01.2676098Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2676454Z "size": 109, 2025-12-04T08:58:01.2676917Z "digest": "sha256:2f80a4e1b3b95ed67bb781ea787e8a63e46de79117d9d8e65c257072b38afa2d" 2025-12-04T08:58:01.2677330Z }, 2025-12-04T08:58:01.2677486Z { 2025-12-04T08:58:01.2677767Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2678118Z "size": 1896, 2025-12-04T08:58:01.2678480Z "digest": "sha256:35c916fb1bd057e517dcab78c3a2a018e68096d8993892ad84f47562d37ae352" 2025-12-04T08:58:01.2678881Z }, 2025-12-04T08:58:01.2679033Z { 2025-12-04T08:58:01.2679316Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2679681Z "size": 197526165, 2025-12-04T08:58:01.2680046Z "digest": "sha256:195537b7dafc96192f768323b1a8cc2a914d41959849b73198579576b0872a44" 2025-12-04T08:58:01.2680437Z }, 2025-12-04T08:58:01.2680591Z { 2025-12-04T08:58:01.2680872Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2681220Z "size": 106, 2025-12-04T08:58:01.2681579Z "digest": "sha256:dc454fd3967e5735b2498b7f1d958a2c626987d5e4ce225ca98da3cd945b59f3" 2025-12-04T08:58:01.2682064Z }, 2025-12-04T08:58:01.2682212Z { 2025-12-04T08:58:01.2682492Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2682845Z "size": 165, 2025-12-04T08:58:01.2683193Z "digest": "sha256:701b34f115fa897181c046dc37288e87cbc3ad74c36a9e2224b5bfe7c5703afb" 2025-12-04T08:58:01.2683594Z }, 2025-12-04T08:58:01.2683752Z { 2025-12-04T08:58:01.2684029Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2684383Z "size": 7944, 2025-12-04T08:58:01.2684743Z "digest": "sha256:39cefc00ffedebc9098261c798408b87a20c95a88fccb110594077f48dadf760" 2025-12-04T08:58:01.2685150Z }, 2025-12-04T08:58:01.2685299Z { 2025-12-04T08:58:01.2685578Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2685932Z "size": 8071, 2025-12-04T08:58:01.2686282Z "digest": "sha256:6ae51eb61a325b2c2995a5088c81aa20821b75be65b5aa722c7c40556b5d03ea" 2025-12-04T08:58:01.2686691Z }, 2025-12-04T08:58:01.2686846Z { 2025-12-04T08:58:01.2687125Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2687479Z "size": 304, 2025-12-04T08:58:01.2687839Z "digest": "sha256:1fd5341e66dfc0c1ae23af014641a92a6fd02640c528fe6d4dc55921ed659a26" 2025-12-04T08:58:01.2688240Z }, 2025-12-04T08:58:01.2688393Z { 2025-12-04T08:58:01.2688674Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2689029Z "size": 13364291, 2025-12-04T08:58:01.2689394Z "digest": "sha256:72a7c87e35e40ab796f90aee1b51add7902f0cdc44406d2505b6c6a1f55a8da6" 2025-12-04T08:58:01.2689805Z }, 2025-12-04T08:58:01.2689962Z { 2025-12-04T08:58:01.2690238Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2690589Z "size": 108, 2025-12-04T08:58:01.2690955Z "digest": "sha256:ec36862ac98ebaac52ee1a8b1d162d45bd0e3bf59ae7e19c8f80ad3960b4c600" 2025-12-04T08:58:01.2691365Z }, 2025-12-04T08:58:01.2691526Z { 2025-12-04T08:58:01.2691809Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2692164Z "size": 54145699, 2025-12-04T08:58:01.2692540Z "digest": "sha256:05ddbf246e8add0e293474dbf88bb028d5a295a25ac59e8648a18db644377773" 2025-12-04T08:58:01.2692950Z }, 2025-12-04T08:58:01.2693107Z { 2025-12-04T08:58:01.2693431Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:01.2693783Z "size": 32, 2025-12-04T08:58:01.2694141Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:58:01.2694542Z } 2025-12-04T08:58:01.2694693Z ] 2025-12-04T08:58:01.2694847Z } 2025-12-04T08:58:01.2731216Z ##[group]Run set -eux 2025-12-04T08:58:01.2731465Z set -eux 2025-12-04T08:58:01.2731834Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T08:58:01.2732994Z 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 2025-12-04T08:58:01.2742574Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:01.2742932Z env: 2025-12-04T08:58:01.2743131Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:01.2743360Z ##[endgroup] 2025-12-04T08:58:01.2776762Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T08:58:01.2778111Z + jq --raw-output .SecretString 2025-12-04T08:58:01.2780364Z + jq -r .docker_hub_readonly_token 2025-12-04T08:58:01.2780850Z + docker login --username pytorchbot --password-stdin 2025-12-04T08:58:01.8425575Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:58:01.8426209Z Configure a credential helper to remove this warning. See 2025-12-04T08:58:01.8426727Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:58:01.8427168Z 2025-12-04T08:58:01.8427339Z Login Succeeded 2025-12-04T08:58:01.8518694Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:58:01.8519050Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:58:01.8519413Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T08:58:01.8528364Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:01.8528694Z env: 2025-12-04T08:58:01.8528886Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:01.8529633Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:01.8530389Z ##[endgroup] 2025-12-04T08:58:01.8562663Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:01.8607897Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T08:58:01.8608292Z with: 2025-12-04T08:58:01.8608990Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:01.8609865Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:01.8610209Z env: 2025-12-04T08:58:01.8610403Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:01.8610647Z ##[endgroup] 2025-12-04T08:58:01.8625511Z ##[group]Run set -x 2025-12-04T08:58:01.8625758Z set -x 2025-12-04T08:58:01.8625949Z set +e 2025-12-04T08:58:01.8626141Z  2025-12-04T08:58:01.8626323Z login() { 2025-12-04T08:58:01.8626738Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:58:01.8627192Z } 2025-12-04T08:58:01.8627375Z  2025-12-04T08:58:01.8627581Z retry () { 2025-12-04T08:58:01.8627818Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:58:01.8628091Z } 2025-12-04T08:58:01.8628270Z  2025-12-04T08:58:01.8628475Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:58:01.8628739Z  2025-12-04T08:58:01.8629164Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T08:58:01.8629745Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T08:58:01.8630066Z  2025-12-04T08:58:01.8630245Z set -e 2025-12-04T08:58:01.8630549Z # ignore output since only exit code is used for conditional 2025-12-04T08:58:01.8630982Z # only pull docker image if it's not available locally 2025-12-04T08:58:01.8631450Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T08:58:01.8631896Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T08:58:01.8632173Z fi 2025-12-04T08:58:01.8641160Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:01.8641485Z env: 2025-12-04T08:58:01.8641672Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:01.8642413Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:01.8643255Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:01.8643592Z ##[endgroup] 2025-12-04T08:58:01.8673698Z + set +e 2025-12-04T08:58:01.8674257Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:01.8674668Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:01.8678346Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:58:01.8679568Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:02.4064143Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:58:02.4064966Z Configure a credential helper to remove this warning. See 2025-12-04T08:58:02.4065675Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:58:02.4066459Z 2025-12-04T08:58:02.4066580Z Login Succeeded 2025-12-04T08:58:02.4097148Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:02.4098028Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T08:58:02.6290914Z + IMAGE_SIZE=15091.581844329834 2025-12-04T08:58:02.6291269Z + echo 'Compressed size of image in MB: 15091.581844329834' 2025-12-04T08:58:02.6291603Z + set -e 2025-12-04T08:58:02.6291837Z Compressed size of image in MB: 15091.581844329834 2025-12-04T08:58:02.6292987Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:02.6443967Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:02.6445263Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:02.8465313Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T08:58:02.8466699Z 63e5bc7682b8: Pulling fs layer 2025-12-04T08:58:02.8467104Z 0678d56345c9: Pulling fs layer 2025-12-04T08:58:02.8467518Z 45f5c9ddfce7: Pulling fs layer 2025-12-04T08:58:02.8467920Z 086b1df51ac1: Pulling fs layer 2025-12-04T08:58:02.8468204Z fe8a7b64bf98: Pulling fs layer 2025-12-04T08:58:02.8468455Z 7680723e9a57: Pulling fs layer 2025-12-04T08:58:02.8468722Z 9c5027aeeb4e: Pulling fs layer 2025-12-04T08:58:02.8468965Z 9a5652110360: Pulling fs layer 2025-12-04T08:58:02.8469194Z 375c4427e914: Pulling fs layer 2025-12-04T08:58:02.8469436Z a86faaa7dbdd: Pulling fs layer 2025-12-04T08:58:02.8469685Z fb7848686804: Pulling fs layer 2025-12-04T08:58:02.8469930Z 3541df015cdb: Pulling fs layer 2025-12-04T08:58:02.8470178Z 79dc80f426b2: Pulling fs layer 2025-12-04T08:58:02.8470427Z a13fcc1b90bb: Pulling fs layer 2025-12-04T08:58:02.8470663Z 4f4fb700ef54: Pulling fs layer 2025-12-04T08:58:02.8470908Z 549db4d6c618: Pulling fs layer 2025-12-04T08:58:02.8471149Z 5c63528cb580: Pulling fs layer 2025-12-04T08:58:02.8471387Z 75bd83b989a4: Pulling fs layer 2025-12-04T08:58:02.8471630Z de6e78970f51: Pulling fs layer 2025-12-04T08:58:02.8471877Z e13ed7c7e473: Pulling fs layer 2025-12-04T08:58:02.8472111Z 6e2949bcb741: Pulling fs layer 2025-12-04T08:58:02.8472358Z 14d69d9aaec7: Pulling fs layer 2025-12-04T08:58:02.8472605Z 5c02769dd8e5: Pulling fs layer 2025-12-04T08:58:02.8472962Z 35041ce524ac: Pulling fs layer 2025-12-04T08:58:02.8473331Z 2fa92dc5885e: Pulling fs layer 2025-12-04T08:58:02.8473822Z 2b85eafbd92a: Pulling fs layer 2025-12-04T08:58:02.8474337Z ff755a4ddad7: Pulling fs layer 2025-12-04T08:58:02.8474641Z 09eb41bdf42d: Pulling fs layer 2025-12-04T08:58:02.8474902Z 11ede4d59e93: Pulling fs layer 2025-12-04T08:58:02.8475156Z 1283cd8f801a: Pulling fs layer 2025-12-04T08:58:02.8475394Z 024fa855425f: Pulling fs layer 2025-12-04T08:58:02.8475636Z 303e6747a62e: Pulling fs layer 2025-12-04T08:58:02.8475985Z 3017cdf4838b: Pulling fs layer 2025-12-04T08:58:02.8476372Z 6b6cd1c358e8: Pulling fs layer 2025-12-04T08:58:02.8476740Z a13fcc1b90bb: Waiting 2025-12-04T08:58:02.8476982Z b2dd04501124: Pulling fs layer 2025-12-04T08:58:02.8477249Z 55adc51fe589: Pulling fs layer 2025-12-04T08:58:02.8477485Z a43ca0e4b837: Pulling fs layer 2025-12-04T08:58:02.8477732Z b7212f17fd14: Pulling fs layer 2025-12-04T08:58:02.8477973Z 083e42cac090: Pulling fs layer 2025-12-04T08:58:02.8478208Z 0a00b784a4aa: Pulling fs layer 2025-12-04T08:58:02.8478453Z c6173c779f7b: Pulling fs layer 2025-12-04T08:58:02.8478699Z ed3d1e3387b9: Pulling fs layer 2025-12-04T08:58:02.8478931Z b29343478586: Pulling fs layer 2025-12-04T08:58:02.8479169Z c6f0520487fb: Pulling fs layer 2025-12-04T08:58:02.8479648Z 303e6747a62e: Waiting 2025-12-04T08:58:02.8479857Z 148171691cd4: Pulling fs layer 2025-12-04T08:58:02.8480095Z 2c666d30ed77: Pulling fs layer 2025-12-04T08:58:02.8480339Z 5d8d3a0a98e0: Pulling fs layer 2025-12-04T08:58:02.8480580Z b06bafce9e81: Pulling fs layer 2025-12-04T08:58:02.8480822Z 15e0d7e4590d: Pulling fs layer 2025-12-04T08:58:02.8481065Z a514bd1add31: Pulling fs layer 2025-12-04T08:58:02.8481306Z 57b84ee60002: Pulling fs layer 2025-12-04T08:58:02.8481541Z b8babeff6d81: Pulling fs layer 2025-12-04T08:58:02.8481786Z 83779ddf6a85: Pulling fs layer 2025-12-04T08:58:02.8482023Z 8b7620c0d736: Pulling fs layer 2025-12-04T08:58:02.8482259Z 3bcfa090e4ef: Pulling fs layer 2025-12-04T08:58:02.8482501Z eb0504ec4d92: Pulling fs layer 2025-12-04T08:58:02.8482942Z 15d0fec09d7b: Pulling fs layer 2025-12-04T08:58:02.8483184Z cca81fcc62a9: Pulling fs layer 2025-12-04T08:58:02.8483434Z b0b8f9b5c6ab: Pulling fs layer 2025-12-04T08:58:02.8483677Z 0606ca4d47a8: Pulling fs layer 2025-12-04T08:58:02.8483918Z 2f80a4e1b3b9: Pulling fs layer 2025-12-04T08:58:02.8484166Z 35c916fb1bd0: Pulling fs layer 2025-12-04T08:58:02.8484408Z 195537b7dafc: Pulling fs layer 2025-12-04T08:58:02.8484647Z dc454fd3967e: Pulling fs layer 2025-12-04T08:58:02.8484934Z 701b34f115fa: Pulling fs layer 2025-12-04T08:58:02.8485183Z 39cefc00ffed: Pulling fs layer 2025-12-04T08:58:02.8485428Z 6ae51eb61a32: Pulling fs layer 2025-12-04T08:58:02.8485663Z 1fd5341e66df: Pulling fs layer 2025-12-04T08:58:02.8485905Z 72a7c87e35e4: Pulling fs layer 2025-12-04T08:58:02.8486150Z ec36862ac98e: Pulling fs layer 2025-12-04T08:58:02.8486395Z 05ddbf246e8a: Pulling fs layer 2025-12-04T08:58:02.8486622Z fe8a7b64bf98: Waiting 2025-12-04T08:58:02.8486831Z 086b1df51ac1: Waiting 2025-12-04T08:58:02.8487045Z 7680723e9a57: Waiting 2025-12-04T08:58:02.8487242Z 79dc80f426b2: Waiting 2025-12-04T08:58:02.8487448Z 9c5027aeeb4e: Waiting 2025-12-04T08:58:02.8487652Z fb7848686804: Waiting 2025-12-04T08:58:02.8487843Z 9a5652110360: Waiting 2025-12-04T08:58:02.8488049Z 4f4fb700ef54: Waiting 2025-12-04T08:58:02.8488254Z 2b85eafbd92a: Waiting 2025-12-04T08:58:02.8488450Z 3017cdf4838b: Waiting 2025-12-04T08:58:02.8488651Z 6b6cd1c358e8: Waiting 2025-12-04T08:58:02.8488851Z 5c02769dd8e5: Waiting 2025-12-04T08:58:02.8489049Z 09eb41bdf42d: Waiting 2025-12-04T08:58:02.8489254Z b2dd04501124: Waiting 2025-12-04T08:58:02.8489459Z 11ede4d59e93: Waiting 2025-12-04T08:58:02.8489652Z 1283cd8f801a: Waiting 2025-12-04T08:58:02.8489856Z 024fa855425f: Waiting 2025-12-04T08:58:02.8490057Z 35041ce524ac: Waiting 2025-12-04T08:58:02.8490251Z a43ca0e4b837: Waiting 2025-12-04T08:58:02.8490456Z a86faaa7dbdd: Waiting 2025-12-04T08:58:02.8491002Z 55adc51fe589: Waiting 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6ae51eb61a32: Pull complete 2025-12-04T09:02:58.7798614Z 1fd5341e66df: Pull complete 2025-12-04T09:03:00.5060892Z 72a7c87e35e4: Pull complete 2025-12-04T09:03:00.5927667Z ec36862ac98e: Pull complete 2025-12-04T09:03:02.3539864Z 05ddbf246e8a: Pull complete 2025-12-04T09:03:02.6976287Z Digest: sha256:ba21003510dba4bdeed83df81a56fa468e0ee1b612a9445ae1f402a280804f97 2025-12-04T09:03:02.7396791Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:03:02.7579034Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:03:02.7649710Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:03:02.7650595Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:03:02.7662614Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:03:02.7662943Z env: 2025-12-04T09:03:02.7663136Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:02.7663372Z ##[endgroup] 2025-12-04T09:03:02.7841606Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T09:03:02.7841997Z with: 2025-12-04T09:03:02.7842196Z driver-version: 580.82.07 2025-12-04T09:03:02.7842416Z env: 2025-12-04T09:03:02.7842614Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:02.7842846Z ##[endgroup] 2025-12-04T09:03:02.7867236Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:03:02.7868051Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:03:02.7877579Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:03:02.7877919Z env: 2025-12-04T09:03:02.7878125Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:02.7878358Z ##[endgroup] 2025-12-04T09:03:02.7939993Z ##[group]Run set -euo pipefail 2025-12-04T09:03:02.7940295Z set -euo pipefail 2025-12-04T09:03:02.7940574Z  2025-12-04T09:03:02.7940768Z has_gpu=false 2025-12-04T09:03:02.7941004Z devices="" 2025-12-04T09:03:02.7941224Z  2025-12-04T09:03:02.7941475Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T09:03:02.7941885Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:03:02.7942239Z  has_gpu=true 2025-12-04T09:03:02.7942510Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:03:02.7942795Z  fi 2025-12-04T09:03:02.7943209Z fi 2025-12-04T09:03:02.7955138Z  2025-12-04T09:03:02.7955413Z if [ "$has_gpu" = false ]; then 2025-12-04T09:03:02.7955772Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:03:02.7956109Z  has_gpu=true 2025-12-04T09:03:02.7956366Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:03:02.7956635Z  fi 2025-12-04T09:03:02.7956816Z fi 2025-12-04T09:03:02.7956999Z  2025-12-04T09:03:02.7957268Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T09:03:02.7957717Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:03:02.7958080Z  has_gpu=true 2025-12-04T09:03:02.7958336Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:03:02.7958616Z  fi 2025-12-04T09:03:02.7958805Z fi 2025-12-04T09:03:02.7958983Z  2025-12-04T09:03:02.7959241Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T09:03:02.7959962Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T09:03:02.7969077Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:03:02.7969398Z env: 2025-12-04T09:03:02.7969588Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:02.7969820Z ##[endgroup] 2025-12-04T09:03:04.5347446Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:03:04.5348013Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:03:04.5348552Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T09:03:04.5349293Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T09:03:04.5349931Z else 2025-12-04T09:03:04.5350325Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T09:03:04.5350798Z fi 2025-12-04T09:03:04.5363980Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:03:04.5364507Z env: 2025-12-04T09:03:04.5364794Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:04.5365143Z HAS_NVIDIA: true 2025-12-04T09:03:04.5365441Z ##[endgroup] 2025-12-04T09:03:04.5467126Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2025-12-04T09:03:04.5467504Z with: 2025-12-04T09:03:04.5467697Z timeout_minutes: 10 2025-12-04T09:03:04.5467922Z max_attempts: 3 2025-12-04T09:03:04.5491542Z command: # Is it disgusting to have a full shell script here in this github action? Sure # But is it the best way to make it so that this action relies on nothing else? Absolutely set -eou pipefail DISTRIBUTION=$(. /etc/os-release;echo $ID$VERSION_ID) DRIVER_FN="NVIDIA-Linux-x86_64-${DRIVER_VERSION}.run" install_nvidia_docker2_amzn2() { ( set -x # Needed for yum-config-manager sudo yum install -y yum-utils if [[ "${DISTRIBUTION}" == "amzn2023" ]] ; then YUM_REPO_URL="https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo" else # Amazon Linux 2 YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo" fi sudo yum-config-manager --add-repo "${YUM_REPO_URL}" sudo yum install -y \ nvidia-container-toolkit-1.17.8 \ libnvidia-container-tools-1.17.8 \ libnvidia-container1-1.17.8 \ nvidia-container-toolkit-base-1.17.8 sudo systemctl restart docker ) } install_nvidia_docker2_ubuntu20() { ( set -x # Install nvidia-driver package if not installed status="$(dpkg-query -W --showformat='${db:Status-Status}' nvidia-docker2 2>&1)" if [ ! $? = 0 ] || [ ! "$status" = installed ]; then sudo apt-get install -y nvidia-container-toolkit-1.17.8 sudo systemctl restart docker fi ) } pre_install_nvidia_driver_amzn2() { ( # Purge any nvidia driver installed from RHEL repo sudo yum remove -y nvidia-driver-latest-dkms ) } install_nvidia_driver_common() { ( # Try to gather more information about the runner and its existing NVIDIA driver if any echo "Before installing NVIDIA driver" lspci lsmod modinfo nvidia || true HAS_NVIDIA_DRIVER=0 # Check if NVIDIA driver has already been installed if [ -x "$(command -v nvidia-smi)" ]; then set +e # The driver exists, check its version next. Also check only the first GPU if there are more than one of them # so that the same driver version is not print over multiple lines INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0) NVIDIA_SMI_STATUS=$? if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then echo "Failed to get NVIDIA driver version ($INSTALLED_DRIVER_VERSION). Continuing" elif [ "$INSTALLED_DRIVER_VERSION" != "$DRIVER_VERSION" ]; then echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has been installed, but we expect to have $DRIVER_VERSION instead. Continuing" # Turn off persistent mode so that the installation script can unload the kernel module sudo killall nvidia-persistenced || true else HAS_NVIDIA_DRIVER=1 echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has already been installed. Skipping NVIDIA driver installation" fi set -e fi if [ "$HAS_NVIDIA_DRIVER" -eq 0 ]; then # CAUTION: this may need to be updated in future if [ "${DISTRIBUTION}" != ubuntu20.04 ]; then sudo yum groupinstall -y "Development Tools" # ensure our kernel install is the same as our underlying kernel, # groupinstall "Development Tools" has a habit of mismatching kernel headers sudo yum install -y "kernel-devel-uname-r == $(uname -r)" sudo modprobe backlight fi sudo curl -fsL -o /tmp/nvidia_driver "https://s3.amazonaws.com/ossci-linux/nvidia_driver/$DRIVER_FN" set +e sudo /bin/bash /tmp/nvidia_driver -s --no-drm NVIDIA_INSTALLATION_STATUS=$? RESET_GPU=0 if [ "$NVIDIA_INSTALLATION_STATUS" -ne 0 ]; then sudo cat /var/log/nvidia-installer.log # Fail to install NVIDIA driver, try to reset the GPU RESET_GPU=1 elif [ -x "$(command -v nvidia-smi)" ]; then # Check again if nvidia-smi works even if the driver installation completes successfully INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0) NVIDIA_SMI_STATUS=$? if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then RESET_GPU=1 fi fi if [ "$RESET_GPU" -eq 1 ]; then NVIDIA_DEVICES=$(lspci -D | grep -i NVIDIA | cut -d' ' -f1) # The GPU can get stuck in a failure state if somehow the test crashs the GPU microcode. When this # happens, we'll try to reset all NVIDIA devices https://github.com/pytorch/pytorch/issues/88388 for PCI_ID in $NVIDIA_DEVICES; do DEVICE_ENABLED=$(cat /sys/bus/pci/devices/$PCI_ID/enable) echo "Reseting $PCI_ID (enabled state: $DEVICE_ENABLED)" # This requires sudo permission of course echo "1" | sudo tee /sys/bus/pci/devices/$PCI_ID/reset sleep 1 done fi sudo rm -fv /tmp/nvidia_driver set -e fi ) } post_install_nvidia_driver_common() { ( sudo modprobe nvidia || true echo "After installing NVIDIA driver" lspci lsmod modinfo nvidia || true ( set +e nvidia-smi # NB: Annoyingly, nvidia-smi command returns successfully with return code 0 even in # the case where the driver has already crashed as it still can get the driver version # and some basic information like the bus ID. However, the rest of the information # would be missing (ERR!), for example: # # +-----------------------------------------------------------------------------+ # | NVIDIA-SMI 525.89.02 Driver Version: 525.89.02 CUDA Version: 12.0 | # |-------------------------------+----------------------+----------------------+ # | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | # | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | # | | | MIG M. | # |===============================+======================+======================| # | 0 ERR! Off | 00000000:00:1E.0 Off | ERR! | # |ERR! ERR! ERR! ERR! / ERR! | 4184MiB / 23028MiB | ERR! Default | # | | | ERR! | # +-------------------------------+----------------------+----------------------+ # # +-----------------------------------------------------------------------------+ # | Processes: | # | GPU GI CI PID Type Process name GPU Memory | # | ID ID Usage | # |=============================================================================| # +-----------------------------------------------------------------------------+ # # This should be reported as a failure instead as it will guarantee to fail when # Docker tries to run with --gpus all # # So, the correct check here is to query one of the missing piece of info like # GPU name, so that the command can fail accordingly nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 NVIDIA_SMI_STATUS=$? # Allowable exit statuses for nvidia-smi, see: https://github.com/NVIDIA/gpu-operator/issues/285 if [ "$NVIDIA_SMI_STATUS" -eq 0 ] || [ "$NVIDIA_SMI_STATUS" -eq 14 ]; then echo "INFO: Ignoring allowed status ${NVIDIA_SMI_STATUS}" else echo "ERROR: nvidia-smi exited with unresolved status ${NVIDIA_SMI_STATUS}" exit ${NVIDIA_SMI_STATUS} fi set -e ) ) } install_nvidia_driver_amzn2() { ( set -x pre_install_nvidia_driver_amzn2 install_nvidia_driver_common post_install_nvidia_driver_common ) } install_nvidia_driver_ubuntu20() { ( set -x install_nvidia_driver_common post_install_nvidia_driver_common ) } echo "== Installing nvidia driver ${DRIVER_FN} ==" case "${DISTRIBUTION}" in amzn*) install_nvidia_driver_amzn2 ;; ubuntu20.04) install_nvidia_driver_ubuntu20 ;; *) echo "ERROR: Unknown distribution ${DISTRIBUTION}" exit 1 ;; esac # Install container toolkit based on distribution echo "== Installing nvidia container toolkit for ${DISTRIBUTION} ==" case "${DISTRIBUTION}" in amzn*) install_nvidia_docker2_amzn2 ;; ubuntu20.04) install_nvidia_docker2_ubuntu20 ;; *) echo "ERROR: Unknown distribution ${DISTRIBUTION}" exit 1 ;; esac # Fix https://github.com/NVIDIA/nvidia-docker/issues/1648 on runners with # more than one GPUs. This just needs to be run once. The command fails # on subsequent runs and complains that the mode is already on, but that's # ok sudo nvidia-persistenced || true # This should show persistence mode ON nvidia-smi # check if the container-toolkit is correctly installed and CUDA is available inside a container docker run --rm -t --gpus=all public.ecr.aws/docker/library/python:3.13 nvidia-smi 2025-12-04T09:03:04.5516324Z retry_wait_seconds: 10 2025-12-04T09:03:04.5516587Z polling_interval_seconds: 1 2025-12-04T09:03:04.5516840Z warning_on_retry: true 2025-12-04T09:03:04.5517087Z continue_on_error: false 2025-12-04T09:03:04.5517321Z env: 2025-12-04T09:03:04.5517509Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:04.5517754Z HAS_NVIDIA_GPU: true 2025-12-04T09:03:04.5518041Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:03:04.5518366Z DRIVER_VERSION: 580.82.07 2025-12-04T09:03:04.5518606Z ##[endgroup] 2025-12-04T09:03:04.6783161Z == Installing nvidia driver NVIDIA-Linux-x86_64-580.82.07.run == 2025-12-04T09:03:04.6783904Z + pre_install_nvidia_driver_amzn2 2025-12-04T09:03:04.6787124Z + sudo yum remove -y nvidia-driver-latest-dkms 2025-12-04T09:03:05.3461926Z No match for argument: nvidia-driver-latest-dkms 2025-12-04T09:03:05.3462524Z No packages marked for removal. 2025-12-04T09:03:05.3529245Z Dependencies resolved. 2025-12-04T09:03:05.3539436Z Nothing to do. 2025-12-04T09:03:05.3540089Z Complete! 2025-12-04T09:03:05.5072936Z + install_nvidia_driver_common 2025-12-04T09:03:05.5077526Z + echo 'Before installing NVIDIA driver' 2025-12-04T09:03:05.5077814Z + lspci 2025-12-04T09:03:05.5079433Z Before installing NVIDIA driver 2025-12-04T09:03:05.6297248Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-12-04T09:03:05.6297746Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-12-04T09:03:05.6298263Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-12-04T09:03:05.6298756Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-12-04T09:03:05.6299210Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-12-04T09:03:05.6299735Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-12-04T09:03:05.6300188Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-12-04T09:03:05.6300641Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:03:05.6301015Z + lsmod 2025-12-04T09:03:05.6355813Z Module Size Used by 2025-12-04T09:03:05.6356414Z nvidia_uvm 1925120 0 2025-12-04T09:03:05.6356678Z nvidia 14286848 1 nvidia_uvm 2025-12-04T09:03:05.6356962Z drm 602112 1 nvidia 2025-12-04T09:03:05.6357386Z drm_panel_orientation_quirks 32768 1 drm 2025-12-04T09:03:05.6357784Z backlight 24576 1 drm 2025-12-04T09:03:05.6358165Z i2c_core 110592 2 nvidia,drm 2025-12-04T09:03:05.6358538Z xt_conntrack 16384 1 2025-12-04T09:03:05.6358878Z nft_chain_nat 16384 3 2025-12-04T09:03:05.6359207Z xt_MASQUERADE 20480 1 2025-12-04T09:03:05.6359598Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-12-04T09:03:05.6360033Z nf_conntrack_netlink 57344 0 2025-12-04T09:03:05.6360551Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-12-04T09:03:05.6361139Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-12-04T09:03:05.6361494Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-12-04T09:03:05.6361777Z xfrm_user 57344 1 2025-12-04T09:03:05.6362035Z xfrm_algo 16384 1 xfrm_user 2025-12-04T09:03:05.6362393Z xt_addrtype 16384 2 2025-12-04T09:03:05.6362634Z nft_compat 20480 4 2025-12-04T09:03:05.6362922Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-12-04T09:03:05.6363311Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-12-04T09:03:05.6363664Z br_netfilter 36864 0 2025-12-04T09:03:05.6363922Z bridge 323584 1 br_netfilter 2025-12-04T09:03:05.6364208Z stp 16384 1 bridge 2025-12-04T09:03:05.6364468Z llc 16384 2 bridge,stp 2025-12-04T09:03:05.6364817Z overlay 167936 0 2025-12-04T09:03:05.6365048Z tls 139264 0 2025-12-04T09:03:05.6365271Z nls_ascii 16384 1 2025-12-04T09:03:05.6365504Z nls_cp437 20480 1 2025-12-04T09:03:05.6365731Z vfat 24576 1 2025-12-04T09:03:05.6365963Z fat 86016 1 vfat 2025-12-04T09:03:05.6366208Z sunrpc 700416 1 2025-12-04T09:03:05.6366432Z i8042 45056 0 2025-12-04T09:03:05.6366646Z ena 184320 0 2025-12-04T09:03:05.6377430Z serio 28672 3 i8042 2025-12-04T09:03:05.6377728Z button 24576 0 2025-12-04T09:03:05.6377977Z ghash_clmulni_intel 16384 0 2025-12-04T09:03:05.6378226Z sch_fq_codel 20480 17 2025-12-04T09:03:05.6378473Z dm_mod 188416 0 2025-12-04T09:03:05.6378913Z fuse 184320 1 2025-12-04T09:03:05.6379137Z configfs 57344 1 2025-12-04T09:03:05.6379371Z loop 36864 0 2025-12-04T09:03:05.6379610Z dmi_sysfs 20480 0 2025-12-04T09:03:05.6379838Z crc32_pclmul 16384 0 2025-12-04T09:03:05.6380080Z crc32c_intel 24576 0 2025-12-04T09:03:05.6380314Z efivarfs 24576 1 2025-12-04T09:03:05.6380572Z + modinfo nvidia 2025-12-04T09:03:05.6380939Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-12-04T09:03:05.6381359Z import_ns: DMA_BUF 2025-12-04T09:03:05.6381594Z alias: char-major-195-* 2025-12-04T09:03:05.6381847Z version: 580.82.07 2025-12-04T09:03:05.6382069Z supported: external 2025-12-04T09:03:05.6382305Z license: Dual MIT/GPL 2025-12-04T09:03:05.6382577Z firmware: nvidia/580.82.07/gsp_tu10x.bin 2025-12-04T09:03:05.6382891Z firmware: nvidia/580.82.07/gsp_ga10x.bin 2025-12-04T09:03:05.6383202Z srcversion: BA7240A71DCF7DC6FE88C1D 2025-12-04T09:03:05.6383519Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-12-04T09:03:05.6383869Z alias: of:N*T*Cnvidia,tegra264-display 2025-12-04T09:03:05.6384252Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-12-04T09:03:05.6384579Z alias: of:N*T*Cnvidia,tegra234-display 2025-12-04T09:03:05.6384891Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-12-04T09:03:05.6385314Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-12-04T09:03:05.6385650Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-12-04T09:03:05.6385970Z depends: i2c-core,drm 2025-12-04T09:03:05.6386199Z retpoline: Y 2025-12-04T09:03:05.6386399Z name: nvidia 2025-12-04T09:03:05.6386738Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-12-04T09:03:05.6387178Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-12-04T09:03:05.6387600Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-12-04T09:03:05.6388001Z parm: NVreg_ResmanDebugLevel:int 2025-12-04T09:03:05.6388280Z parm: NVreg_RmLogonRC:int 2025-12-04T09:03:05.6388559Z parm: NVreg_ModifyDeviceFiles:int 2025-12-04T09:03:05.6388856Z parm: NVreg_DeviceFileUID:int 2025-12-04T09:03:05.6389138Z parm: NVreg_DeviceFileGID:int 2025-12-04T09:03:05.6389414Z parm: NVreg_DeviceFileMode:int 2025-12-04T09:03:05.6389764Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-12-04T09:03:05.6390132Z parm: NVreg_UsePageAttributeTable:int 2025-12-04T09:03:05.6390435Z parm: NVreg_EnablePCIeGen3:int 2025-12-04T09:03:05.6390717Z parm: NVreg_EnableMSI:int 2025-12-04T09:03:05.6391003Z parm: NVreg_EnableStreamMemOPs:int 2025-12-04T09:03:05.6391340Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-12-04T09:03:05.6391719Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-12-04T09:03:05.6392084Z parm: NVreg_EnableS0ixPowerManagement:int 2025-12-04T09:03:05.6392509Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-12-04T09:03:05.6392964Z parm: NVreg_DynamicPowerManagement:int 2025-12-04T09:03:05.6393370Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-12-04T09:03:05.6393767Z parm: NVreg_EnableGpuFirmware:int 2025-12-04T09:03:05.6394171Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-12-04T09:03:05.6394523Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-12-04T09:03:05.6394878Z parm: NVreg_EnableUserNUMAManagement:int 2025-12-04T09:03:05.6395197Z parm: NVreg_MemoryPoolSize:int 2025-12-04T09:03:05.6395512Z parm: NVreg_KMallocHeapMaxSize:int 2025-12-04T09:03:05.6395830Z parm: NVreg_VMallocHeapMaxSize:int 2025-12-04T09:03:05.6396127Z parm: NVreg_IgnoreMMIOCheck:int 2025-12-04T09:03:05.6396422Z parm: NVreg_NvLinkDisable:int 2025-12-04T09:03:05.6396854Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-12-04T09:03:05.6397199Z parm: NVreg_RegisterPCIDriver:int 2025-12-04T09:03:05.6397532Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-12-04T09:03:05.6397875Z parm: NVreg_EnableResizableBar:int 2025-12-04T09:03:05.6398207Z parm: NVreg_EnableDbgBreakpoint:int 2025-12-04T09:03:05.6398529Z parm: NVreg_EnableNonblockingOpen:int 2025-12-04T09:03:05.6398877Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-12-04T09:03:05.6399203Z parm: NVreg_RegistryDwords:charp 2025-12-04T09:03:05.6399519Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-12-04T09:03:05.6399829Z parm: NVreg_RmMsg:charp 2025-12-04T09:03:05.6400099Z parm: NVreg_GpuBlacklist:charp 2025-12-04T09:03:05.6400407Z parm: NVreg_TemporaryFilePath:charp 2025-12-04T09:03:05.6400706Z parm: NVreg_ExcludedGpus:charp 2025-12-04T09:03:05.6401001Z parm: NVreg_DmaRemapPeerMmio:int 2025-12-04T09:03:05.6401320Z parm: NVreg_RmNvlinkBandwidth:charp 2025-12-04T09:03:05.6401652Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-12-04T09:03:05.6401984Z parm: NVreg_ImexChannelCount:int 2025-12-04T09:03:05.6402293Z parm: NVreg_CreateImexChannel0:int 2025-12-04T09:03:05.6402614Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-12-04T09:03:05.6402934Z parm: rm_firmware_active:charp 2025-12-04T09:03:05.6403316Z + HAS_NVIDIA_DRIVER=0 2025-12-04T09:03:05.6403548Z ++ command -v nvidia-smi 2025-12-04T09:03:05.6403791Z + '[' -x /usr/bin/nvidia-smi ']' 2025-12-04T09:03:05.6404028Z + set +e 2025-12-04T09:03:05.6404318Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0 2025-12-04T09:03:07.3588521Z + INSTALLED_DRIVER_VERSION=580.82.07 2025-12-04T09:03:07.3588876Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:03:07.3589098Z + '[' 0 -ne 0 ']' 2025-12-04T09:03:07.3589307Z + '[' 580.82.07 '!=' 580.82.07 ']' 2025-12-04T09:03:07.3589560Z + HAS_NVIDIA_DRIVER=1 2025-12-04T09:03:07.3590009Z + echo 'NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation' 2025-12-04T09:03:07.3590443Z + set -e 2025-12-04T09:03:07.3590625Z + '[' 1 -eq 0 ']' 2025-12-04T09:03:07.3590997Z NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation 2025-12-04T09:03:07.3591436Z + post_install_nvidia_driver_common 2025-12-04T09:03:07.3597817Z + sudo modprobe nvidia 2025-12-04T09:03:07.5217917Z + echo 'After installing NVIDIA driver' 2025-12-04T09:03:07.5218222Z + lspci 2025-12-04T09:03:07.5218426Z After installing NVIDIA driver 2025-12-04T09:03:07.5339075Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-12-04T09:03:07.5339582Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-12-04T09:03:07.5340118Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-12-04T09:03:07.5340628Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-12-04T09:03:07.5341106Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-12-04T09:03:07.5341622Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-12-04T09:03:07.5342085Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-12-04T09:03:07.5342551Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:03:07.5342938Z + lsmod 2025-12-04T09:03:07.5381554Z Module Size Used by 2025-12-04T09:03:07.5381903Z nvidia_uvm 1925120 0 2025-12-04T09:03:07.5382167Z nvidia 14286848 1 nvidia_uvm 2025-12-04T09:03:07.5382444Z drm 602112 1 nvidia 2025-12-04T09:03:07.5382726Z drm_panel_orientation_quirks 32768 1 drm 2025-12-04T09:03:07.5383020Z backlight 24576 1 drm 2025-12-04T09:03:07.5383289Z i2c_core 110592 2 nvidia,drm 2025-12-04T09:03:07.5383553Z xt_conntrack 16384 1 2025-12-04T09:03:07.5384128Z nft_chain_nat 16384 3 2025-12-04T09:03:07.5384377Z xt_MASQUERADE 20480 1 2025-12-04T09:03:07.5384646Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-12-04T09:03:07.5384958Z nf_conntrack_netlink 57344 0 2025-12-04T09:03:07.5385336Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-12-04T09:03:07.5385740Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-12-04T09:03:07.5386038Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-12-04T09:03:07.5386308Z xfrm_user 57344 1 2025-12-04T09:03:07.5386554Z xfrm_algo 16384 1 xfrm_user 2025-12-04T09:03:07.5386817Z xt_addrtype 16384 2 2025-12-04T09:03:07.5387056Z nft_compat 20480 4 2025-12-04T09:03:07.5387343Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-12-04T09:03:07.5387727Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-12-04T09:03:07.5388078Z br_netfilter 36864 0 2025-12-04T09:03:07.5388342Z bridge 323584 1 br_netfilter 2025-12-04T09:03:07.5388609Z stp 16384 1 bridge 2025-12-04T09:03:07.5388876Z llc 16384 2 bridge,stp 2025-12-04T09:03:07.5389137Z overlay 167936 0 2025-12-04T09:03:07.5389358Z tls 139264 0 2025-12-04T09:03:07.5389588Z nls_ascii 16384 1 2025-12-04T09:03:07.5389815Z nls_cp437 20480 1 2025-12-04T09:03:07.5390219Z vfat 24576 1 2025-12-04T09:03:07.5390450Z fat 86016 1 vfat 2025-12-04T09:03:07.5390698Z sunrpc 700416 1 2025-12-04T09:03:07.5390924Z i8042 45056 0 2025-12-04T09:03:07.5391138Z ena 184320 0 2025-12-04T09:03:07.5391370Z serio 28672 3 i8042 2025-12-04T09:03:07.5391618Z button 24576 0 2025-12-04T09:03:07.5391845Z ghash_clmulni_intel 16384 0 2025-12-04T09:03:07.5392085Z sch_fq_codel 20480 17 2025-12-04T09:03:07.5392327Z dm_mod 188416 0 2025-12-04T09:03:07.5392545Z fuse 184320 1 2025-12-04T09:03:07.5392770Z configfs 57344 1 2025-12-04T09:03:07.5393000Z loop 36864 0 2025-12-04T09:03:07.5393221Z dmi_sysfs 20480 0 2025-12-04T09:03:07.5393453Z crc32_pclmul 16384 0 2025-12-04T09:03:07.5393685Z crc32c_intel 24576 0 2025-12-04T09:03:07.5393922Z efivarfs 24576 1 2025-12-04T09:03:07.5394243Z + modinfo nvidia 2025-12-04T09:03:07.5399707Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-12-04T09:03:07.5400152Z import_ns: DMA_BUF 2025-12-04T09:03:07.5400381Z alias: char-major-195-* 2025-12-04T09:03:07.5400626Z version: 580.82.07 2025-12-04T09:03:07.5400854Z supported: external 2025-12-04T09:03:07.5401083Z license: Dual MIT/GPL 2025-12-04T09:03:07.5401343Z firmware: nvidia/580.82.07/gsp_tu10x.bin 2025-12-04T09:03:07.5401665Z firmware: nvidia/580.82.07/gsp_ga10x.bin 2025-12-04T09:03:07.5401966Z srcversion: BA7240A71DCF7DC6FE88C1D 2025-12-04T09:03:07.5402268Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-12-04T09:03:07.5402599Z alias: of:N*T*Cnvidia,tegra264-display 2025-12-04T09:03:07.5402922Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-12-04T09:03:07.5403239Z alias: of:N*T*Cnvidia,tegra234-display 2025-12-04T09:03:07.5403565Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-12-04T09:03:07.5403880Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-12-04T09:03:07.5404187Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-12-04T09:03:07.5404470Z depends: i2c-core,drm 2025-12-04T09:03:07.5404708Z retpoline: Y 2025-12-04T09:03:07.5404905Z name: nvidia 2025-12-04T09:03:07.5405246Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-12-04T09:03:07.5405689Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-12-04T09:03:07.5406269Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-12-04T09:03:07.5406656Z parm: NVreg_ResmanDebugLevel:int 2025-12-04T09:03:07.5406943Z parm: NVreg_RmLogonRC:int 2025-12-04T09:03:07.5407223Z parm: NVreg_ModifyDeviceFiles:int 2025-12-04T09:03:07.5407516Z parm: NVreg_DeviceFileUID:int 2025-12-04T09:03:07.5407791Z parm: NVreg_DeviceFileGID:int 2025-12-04T09:03:07.5408079Z parm: NVreg_DeviceFileMode:int 2025-12-04T09:03:07.5408419Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-12-04T09:03:07.5408778Z parm: NVreg_UsePageAttributeTable:int 2025-12-04T09:03:07.5409090Z parm: NVreg_EnablePCIeGen3:int 2025-12-04T09:03:07.5409369Z parm: NVreg_EnableMSI:int 2025-12-04T09:03:07.5409647Z parm: NVreg_EnableStreamMemOPs:int 2025-12-04T09:03:07.5409988Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-12-04T09:03:07.5410362Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-12-04T09:03:07.5410720Z parm: NVreg_EnableS0ixPowerManagement:int 2025-12-04T09:03:07.5411111Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-12-04T09:03:07.5411495Z parm: NVreg_DynamicPowerManagement:int 2025-12-04T09:03:07.5411891Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-12-04T09:03:07.5412376Z parm: NVreg_EnableGpuFirmware:int 2025-12-04T09:03:07.5412695Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-12-04T09:03:07.5413042Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-12-04T09:03:07.5413700Z parm: NVreg_EnableUserNUMAManagement:int 2025-12-04T09:03:07.5414021Z parm: NVreg_MemoryPoolSize:int 2025-12-04T09:03:07.5414323Z parm: NVreg_KMallocHeapMaxSize:int 2025-12-04T09:03:07.5414627Z parm: NVreg_VMallocHeapMaxSize:int 2025-12-04T09:03:07.5414928Z parm: NVreg_IgnoreMMIOCheck:int 2025-12-04T09:03:07.5415224Z parm: NVreg_NvLinkDisable:int 2025-12-04T09:03:07.5415560Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-12-04T09:03:07.5415892Z parm: NVreg_RegisterPCIDriver:int 2025-12-04T09:03:07.5416226Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-12-04T09:03:07.5416561Z parm: NVreg_EnableResizableBar:int 2025-12-04T09:03:07.5416870Z parm: NVreg_EnableDbgBreakpoint:int 2025-12-04T09:03:07.5417198Z parm: NVreg_EnableNonblockingOpen:int 2025-12-04T09:03:07.5417530Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-12-04T09:03:07.5417846Z parm: NVreg_RegistryDwords:charp 2025-12-04T09:03:07.5418156Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-12-04T09:03:07.5418461Z parm: NVreg_RmMsg:charp 2025-12-04T09:03:07.5418727Z parm: NVreg_GpuBlacklist:charp 2025-12-04T09:03:07.5419023Z parm: NVreg_TemporaryFilePath:charp 2025-12-04T09:03:07.5419322Z parm: NVreg_ExcludedGpus:charp 2025-12-04T09:03:07.5419621Z parm: NVreg_DmaRemapPeerMmio:int 2025-12-04T09:03:07.5419919Z parm: NVreg_RmNvlinkBandwidth:charp 2025-12-04T09:03:07.5420254Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-12-04T09:03:07.5420581Z parm: NVreg_ImexChannelCount:int 2025-12-04T09:03:07.5420877Z parm: NVreg_CreateImexChannel0:int 2025-12-04T09:03:07.5421200Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-12-04T09:03:07.5421522Z parm: rm_firmware_active:charp 2025-12-04T09:03:07.5421779Z + set +e 2025-12-04T09:03:07.5421944Z + nvidia-smi 2025-12-04T09:03:08.9866674Z Thu Dec 4 09:03:08 2025 2025-12-04T09:03:08.9867046Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:03:08.9867522Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:03:08.9867985Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:03:08.9868769Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:03:08.9869272Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:03:08.9869680Z | | | MIG M. | 2025-12-04T09:03:08.9870012Z |=========================================+========================+======================| 2025-12-04T09:03:08.9952597Z | 0 NVIDIA A10G Off | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:03:08.9953019Z | 0% 22C P0 59W / 300W | 0MiB / 23028MiB | 4% Default | 2025-12-04T09:03:08.9953376Z | | | N/A | 2025-12-04T09:03:08.9953751Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:03:08.9955734Z 2025-12-04T09:03:08.9955935Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:03:08.9956353Z | Processes: | 2025-12-04T09:03:08.9956774Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:03:08.9957216Z | ID ID Usage | 2025-12-04T09:03:08.9957735Z |=========================================================================================| 2025-12-04T09:03:08.9958655Z | No running processes found | 2025-12-04T09:03:08.9959098Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:03:09.4180059Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 2025-12-04T09:03:10.8659283Z NVIDIA A10G 2025-12-04T09:03:11.1346283Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:03:11.1347254Z + '[' 0 -eq 0 ']' 2025-12-04T09:03:11.1347545Z + echo 'INFO: Ignoring allowed status 0' 2025-12-04T09:03:11.1347829Z + set -e 2025-12-04T09:03:11.1348026Z INFO: Ignoring allowed status 0 2025-12-04T09:03:11.1356520Z == Installing nvidia container toolkit for amzn2023 == 2025-12-04T09:03:11.1362117Z + sudo yum install -y yum-utils 2025-12-04T09:03:11.5763591Z Last metadata expiration check: 0:08:43 ago on Thu Dec 4 08:54:28 2025. 2025-12-04T09:03:11.6032317Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed. 2025-12-04T09:03:11.6588427Z Dependencies resolved. 2025-12-04T09:03:11.6894068Z Nothing to do. 2025-12-04T09:03:11.6895034Z Complete! 2025-12-04T09:03:11.9694431Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]] 2025-12-04T09:03:11.9695011Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:03:11.9695843Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:03:12.2878018Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:03:12.3394844Z + sudo yum install -y nvidia-container-toolkit-1.17.8 libnvidia-container-tools-1.17.8 libnvidia-container1-1.17.8 nvidia-container-toolkit-base-1.17.8 2025-12-04T09:03:12.9627782Z nvidia-container-toolkit 19 kB/s | 833 B 00:00 2025-12-04T09:03:13.0505982Z Dependencies resolved. 2025-12-04T09:03:13.0798915Z ================================================================================ 2025-12-04T09:03:13.0799347Z Package Arch Version Repository Size 2025-12-04T09:03:13.0799716Z ================================================================================ 2025-12-04T09:03:13.0800001Z Downgrading: 2025-12-04T09:03:13.0800352Z libnvidia-container-tools x86_64 1.17.8-1 nvidia-container-toolkit 40 k 2025-12-04T09:03:13.0800893Z libnvidia-container1 x86_64 1.17.8-1 nvidia-container-toolkit 1.0 M 2025-12-04T09:03:13.0801710Z nvidia-container-toolkit x86_64 1.17.8-1 nvidia-container-toolkit 1.2 M 2025-12-04T09:03:13.0802259Z nvidia-container-toolkit-base x86_64 1.17.8-1 nvidia-container-toolkit 5.8 M 2025-12-04T09:03:13.0802601Z 2025-12-04T09:03:13.0802683Z Transaction Summary 2025-12-04T09:03:13.0802915Z ================================================================================ 2025-12-04T09:03:13.0803216Z Downgrade 4 Packages 2025-12-04T09:03:13.0803356Z 2025-12-04T09:03:13.0803449Z Total download size: 8.0 M 2025-12-04T09:03:13.0803719Z Downloading Packages: 2025-12-04T09:03:13.1208405Z (1/4): libnvidia-container-tools-1.17.8-1.x86_6 1.0 MB/s | 40 kB 00:00 2025-12-04T09:03:13.1799661Z (2/4): nvidia-container-toolkit-1.17.8-1.x86_64 13 MB/s | 1.2 MB 00:00 2025-12-04T09:03:13.2290531Z (3/4): libnvidia-container1-1.17.8-1.x86_64.rpm 6.6 MB/s | 1.0 MB 00:00 2025-12-04T09:03:13.3595666Z (4/4): nvidia-container-toolkit-base-1.17.8-1.x 24 MB/s | 5.8 MB 00:00 2025-12-04T09:03:13.3603137Z -------------------------------------------------------------------------------- 2025-12-04T09:03:13.3606300Z Total 29 MB/s | 8.0 MB 00:00 2025-12-04T09:03:13.3608849Z Running transaction check 2025-12-04T09:03:13.3737469Z Transaction check succeeded. 2025-12-04T09:03:13.3737745Z Running transaction test 2025-12-04T09:03:13.4240023Z Transaction test succeeded. 2025-12-04T09:03:13.4242465Z Running transaction 2025-12-04T09:03:14.2610323Z Preparing : 1/1 2025-12-04T09:03:14.3995953Z Downgrading : nvidia-container-toolkit-base-1.17.8-1.x86_64 1/8 2025-12-04T09:03:14.4317007Z Downgrading : libnvidia-container1-1.17.8-1.x86_64 2/8 2025-12-04T09:03:14.5213678Z Running scriptlet: libnvidia-container1-1.17.8-1.x86_64 2/8 2025-12-04T09:03:14.6824217Z Downgrading : libnvidia-container-tools-1.17.8-1.x86_64 3/8 2025-12-04T09:03:14.7057778Z Downgrading : nvidia-container-toolkit-1.17.8-1.x86_64 4/8 2025-12-04T09:03:14.7924437Z Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64 4/8 2025-12-04T09:03:14.8000819Z Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:03:14.8001405Z Cleanup : nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:03:14.8347417Z Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:03:14.8422314Z Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:03:14.8422891Z Cleanup : libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:03:14.8730482Z Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:03:14.8813042Z Running scriptlet: libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:03:14.8813873Z Cleanup : libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:03:14.8973397Z Running scriptlet: libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:03:14.9050672Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:03:14.9051542Z Cleanup : nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:03:14.9418428Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:03:15.0023959Z Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64 8/8 2025-12-04T09:03:46.4002893Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:03:46.4003883Z Verifying : libnvidia-container-tools-1.17.8-1.x86_64 1/8 2025-12-04T09:03:46.4004597Z Verifying : libnvidia-container-tools-1.18.1-1.x86_64 2/8 2025-12-04T09:03:46.4005966Z Verifying : libnvidia-container1-1.17.8-1.x86_64 3/8 2025-12-04T09:03:46.4006782Z Verifying : libnvidia-container1-1.18.1-1.x86_64 4/8 2025-12-04T09:03:46.4007585Z Verifying : nvidia-container-toolkit-1.17.8-1.x86_64 5/8 2025-12-04T09:03:46.4008407Z Verifying : nvidia-container-toolkit-1.18.1-1.x86_64 6/8 2025-12-04T09:03:46.4009245Z Verifying : nvidia-container-toolkit-base-1.17.8-1.x86_64 7/8 2025-12-04T09:03:46.5614015Z Verifying : nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8================================================================================ 2025-12-04T09:03:46.5614805Z WARNING: 2025-12-04T09:03:46.5615119Z A newer release of "Amazon Linux" is available. 2025-12-04T09:03:46.5615453Z 2025-12-04T09:03:46.5615570Z Available Versions: 2025-12-04T09:03:46.5615770Z 2025-12-04T09:03:46.5615891Z Version 2023.9.20250929: 2025-12-04T09:03:46.5616341Z Run the following command to upgrade to 2023.9.20250929: 2025-12-04T09:03:46.5616720Z 2025-12-04T09:03:46.5616883Z dnf upgrade --releasever=2023.9.20250929 2025-12-04T09:03:46.5617166Z 2025-12-04T09:03:46.5617288Z Release notes: 2025-12-04T09:03:46.5617851Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20250929.html 2025-12-04T09:03:46.5618350Z 2025-12-04T09:03:46.5618877Z Version 2023.9.20251014: 2025-12-04T09:03:46.5619304Z Run the following command to upgrade to 2023.9.20251014: 2025-12-04T09:03:46.5619653Z 2025-12-04T09:03:46.5619805Z dnf upgrade --releasever=2023.9.20251014 2025-12-04T09:03:46.5620107Z 2025-12-04T09:03:46.5620223Z Release notes: 2025-12-04T09:03:46.5620759Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251014.html 2025-12-04T09:03:46.5621294Z 2025-12-04T09:03:46.5621440Z Version 2023.9.20251020: 2025-12-04T09:03:46.5621841Z Run the following command to upgrade to 2023.9.20251020: 2025-12-04T09:03:46.5622204Z 2025-12-04T09:03:46.5622357Z dnf upgrade --releasever=2023.9.20251020 2025-12-04T09:03:46.5622658Z 2025-12-04T09:03:46.5622779Z Release notes: 2025-12-04T09:03:46.5623320Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251020.html 2025-12-04T09:03:46.5623864Z 2025-12-04T09:03:46.5623984Z Version 2023.9.20251027: 2025-12-04T09:03:46.5624417Z Run the following command to upgrade to 2023.9.20251027: 2025-12-04T09:03:46.5624816Z 2025-12-04T09:03:46.5624976Z dnf upgrade --releasever=2023.9.20251027 2025-12-04T09:03:46.5625257Z 2025-12-04T09:03:46.5625366Z Release notes: 2025-12-04T09:03:46.5625920Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251027.html 2025-12-04T09:03:46.5626482Z 2025-12-04T09:03:46.5626608Z Version 2023.9.20251105: 2025-12-04T09:03:46.5648213Z Run the following command to upgrade to 2023.9.20251105: 2025-12-04T09:03:46.5648668Z 2025-12-04T09:03:46.5648885Z dnf upgrade --releasever=2023.9.20251105 2025-12-04T09:03:46.5649218Z 2025-12-04T09:03:46.5649346Z Release notes: 2025-12-04T09:03:46.5649972Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251105.html 2025-12-04T09:03:46.5650564Z 2025-12-04T09:03:46.5650696Z Version 2023.9.20251110: 2025-12-04T09:03:46.5651164Z Run the following command to upgrade to 2023.9.20251110: 2025-12-04T09:03:46.5651560Z 2025-12-04T09:03:46.5651730Z dnf upgrade --releasever=2023.9.20251110 2025-12-04T09:03:46.5652064Z 2025-12-04T09:03:46.5652187Z Release notes: 2025-12-04T09:03:46.5652790Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251110.html 2025-12-04T09:03:46.5653372Z 2025-12-04T09:03:46.5653511Z Version 2023.9.20251117: 2025-12-04T09:03:46.5653965Z Run the following command to upgrade to 2023.9.20251117: 2025-12-04T09:03:46.5654358Z 2025-12-04T09:03:46.5654526Z dnf upgrade --releasever=2023.9.20251117 2025-12-04T09:03:46.5655179Z 2025-12-04T09:03:46.5655310Z Release notes: 2025-12-04T09:03:46.5655896Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251117.html 2025-12-04T09:03:46.5656462Z 2025-12-04T09:03:46.5656617Z ================================================================================ 2025-12-04T09:03:46.6216941Z 2025-12-04T09:03:46.6217149Z 2025-12-04T09:03:46.6217280Z Downgraded: 2025-12-04T09:03:46.6217820Z libnvidia-container-tools-1.17.8-1.x86_64 2025-12-04T09:03:46.6218531Z libnvidia-container1-1.17.8-1.x86_64 2025-12-04T09:03:46.6219246Z nvidia-container-toolkit-1.17.8-1.x86_64 2025-12-04T09:03:46.6220001Z nvidia-container-toolkit-base-1.17.8-1.x86_64 2025-12-04T09:03:46.6220460Z 2025-12-04T09:03:46.6220573Z Complete! 2025-12-04T09:03:46.6776718Z + sudo systemctl restart docker 2025-12-04T09:03:53.2384980Z Thu Dec 4 09:03:53 2025 2025-12-04T09:03:53.2385512Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:03:53.2386250Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:03:53.2386954Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:03:53.2387993Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:03:53.2388724Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:03:53.2389338Z | | | MIG M. | 2025-12-04T09:03:53.2389795Z |=========================================+========================+======================| 2025-12-04T09:03:53.2475678Z | 0 NVIDIA A10G On | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:03:53.2476116Z | 0% 21C P0 52W / 300W | 0MiB / 23028MiB | 3% Default | 2025-12-04T09:03:53.2476480Z | | | N/A | 2025-12-04T09:03:53.2476859Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:03:53.2477142Z 2025-12-04T09:03:53.2477347Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:03:53.2477752Z | Processes: | 2025-12-04T09:03:53.2478173Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:03:53.2478568Z | ID ID Usage | 2025-12-04T09:03:53.2478888Z |=========================================================================================| 2025-12-04T09:03:53.2481058Z | No running processes found | 2025-12-04T09:03:53.2481602Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:03:53.4196725Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally 2025-12-04T09:03:53.6331180Z 3.13: Pulling from docker/library/python 2025-12-04T09:03:53.7197158Z 53c88f1dfeb7: Pulling fs layer 2025-12-04T09:03:53.7197488Z eae668646f44: Pulling fs layer 2025-12-04T09:03:53.7197743Z ff2e6e687b6c: Pulling fs layer 2025-12-04T09:03:53.7198004Z 7c40a3faff76: Pulling fs layer 2025-12-04T09:03:53.7198254Z 967a3b1c8fef: Pulling fs layer 2025-12-04T09:03:53.7198494Z a64e1a44f22a: Pulling fs layer 2025-12-04T09:03:53.7198742Z 52655f8a5bcc: Pulling fs layer 2025-12-04T09:03:53.7199003Z 967a3b1c8fef: Waiting 2025-12-04T09:03:53.7199296Z a64e1a44f22a: Waiting 2025-12-04T09:03:53.7199596Z 52655f8a5bcc: Waiting 2025-12-04T09:03:53.7199897Z 7c40a3faff76: Waiting 2025-12-04T09:03:53.8262825Z eae668646f44: Verifying Checksum 2025-12-04T09:03:53.8263557Z eae668646f44: Download complete 2025-12-04T09:03:53.8904183Z 53c88f1dfeb7: Download complete 2025-12-04T09:03:53.9322889Z ff2e6e687b6c: Verifying Checksum 2025-12-04T09:03:53.9323263Z ff2e6e687b6c: Download complete 2025-12-04T09:03:53.9616320Z 967a3b1c8fef: Verifying Checksum 2025-12-04T09:03:53.9616647Z 967a3b1c8fef: Download complete 2025-12-04T09:03:54.0129595Z 52655f8a5bcc: Download complete 2025-12-04T09:03:54.0529308Z a64e1a44f22a: Verifying Checksum 2025-12-04T09:03:54.0529637Z a64e1a44f22a: Download complete 2025-12-04T09:03:54.5115232Z 7c40a3faff76: Verifying Checksum 2025-12-04T09:03:54.5115557Z 7c40a3faff76: Download complete 2025-12-04T09:03:55.6902321Z 53c88f1dfeb7: Pull complete 2025-12-04T09:03:56.4065825Z eae668646f44: Pull complete 2025-12-04T09:03:58.9039878Z ff2e6e687b6c: Pull complete 2025-12-04T09:04:05.6000971Z 7c40a3faff76: Pull complete 2025-12-04T09:04:05.8756063Z 967a3b1c8fef: Pull complete 2025-12-04T09:04:06.6360220Z a64e1a44f22a: Pull complete 2025-12-04T09:04:06.6478009Z 52655f8a5bcc: Pull complete 2025-12-04T09:04:06.6543643Z Digest: sha256:3f986299a7b8b44b0d8cf9bda2b22361ce5c3058ef5d7cb17fb7452506680ab0 2025-12-04T09:04:06.6563960Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13 2025-12-04T09:04:13.8312141Z Thu Dec 4 09:04:13 2025 2025-12-04T09:04:13.8312857Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:04:13.8313691Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:04:13.8314241Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:04:13.8314721Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:04:13.8315230Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:04:13.8315640Z | | | MIG M. | 2025-12-04T09:04:13.8315979Z |=========================================+========================+======================| 2025-12-04T09:04:13.8477696Z | 0 NVIDIA A10G On | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:04:13.8478134Z | 0% 18C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-12-04T09:04:13.8478507Z | | | N/A | 2025-12-04T09:04:13.8478887Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:04:13.8482649Z 2025-12-04T09:04:13.8482853Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:04:13.8483281Z | Processes: | 2025-12-04T09:04:13.8483700Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:04:13.8484110Z | ID ID Usage | 2025-12-04T09:04:13.8484444Z |=========================================================================================| 2025-12-04T09:04:13.8489224Z | No running processes found | 2025-12-04T09:04:13.8489678Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:04:14.6881954Z Command completed after 1 attempt(s). 2025-12-04T09:04:14.6983859Z Prepare all required actions 2025-12-04T09:04:14.7016512Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T09:04:14.7016896Z with: 2025-12-04T09:04:14.7017628Z github-token: *** 2025-12-04T09:04:14.7017929Z env: 2025-12-04T09:04:14.7018169Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:14.7018601Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:14.7018969Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:14.7019549Z ##[endgroup] 2025-12-04T09:04:14.7038142Z ##[group]Run set -eux 2025-12-04T09:04:14.7038453Z set -eux 2025-12-04T09:04:14.7039025Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:04:14.7054657Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:14.7055194Z env: 2025-12-04T09:04:14.7055468Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:14.7055825Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:14.7056297Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:14.7056818Z GITHUB_TOKEN: *** 2025-12-04T09:04:14.7057204Z ##[endgroup] 2025-12-04T09:04:14.7097418Z + python3 .github/scripts/get_workflow_job_id.py 19922773007 i-047fb8a5d8c8ef107 2025-12-04T09:04:15.5629590Z Setting output job-id=57116039068 2025-12-04T09:04:15.5630430Z Setting output job-name=linux-jammy-cuda12.8-py3.10-gcc11-sm86 / test (slow, 1, 3, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:04:15.5770446Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:04:15.5771133Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:04:15.5771985Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T09:04:15.5772732Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:04:15.5781907Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:15.5782234Z env: 2025-12-04T09:04:15.5782422Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:15.5782647Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:15.5782927Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:15.5783239Z JOB_ID: 57116039068 2025-12-04T09:04:15.5783758Z JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11-sm86 / test (slow, 1, 3, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:04:15.5784294Z WORKFLOW_NAME: slow 2025-12-04T09:04:15.5784509Z WORKFLOW_RUN_ID: 19922773007 2025-12-04T09:04:15.5784749Z MONITOR_LOG_INTERVAL: 5 2025-12-04T09:04:15.5784986Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T09:04:15.5785231Z ##[endgroup] 2025-12-04T09:04:15.8499165Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:04:16.2486674Z Collecting psutil==5.9.8 2025-12-04T09:04:16.2649698Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-12-04T09:04:16.3411733Z Collecting dataclasses_json==0.6.7 2025-12-04T09:04:16.3443704Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T09:04:16.3711477Z Collecting nvidia-ml-py==11.525.84 2025-12-04T09:04:16.3743695Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T09:04:16.5037636Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T09:04:16.5069683Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T09:04:16.5281413Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T09:04:16.5314431Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T09:04:16.5866860Z Collecting packaging>=17.0 2025-12-04T09:04:16.5901055Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T09:04:16.6117571Z Collecting mypy-extensions>=0.3.0 2025-12-04T09:04:16.6154641Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T09:04:16.6650011Z Collecting typing-extensions>=3.7.4 2025-12-04T09:04:16.6680882Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T09:04:16.7542671Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T09:04:17.0247848Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-12-04T09:04:17.2183048Z Prepare all required actions 2025-12-04T09:04:17.2183381Z Getting action download info 2025-12-04T09:04:17.3943721Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:04:17.7620515Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T09:04:18.0571232Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T09:04:18.0571560Z with: 2025-12-04T09:04:18.0571805Z name: linux-jammy-cuda12.8-py3.10-gcc11-sm86 2025-12-04T09:04:18.0572109Z s3-bucket: gha-artifacts 2025-12-04T09:04:18.0572690Z env: 2025-12-04T09:04:18.0572892Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:18.0573124Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:18.0573749Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:18.0574074Z ##[endgroup] 2025-12-04T09:04:18.0687349Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:04:18.0687656Z with: 2025-12-04T09:04:18.0687917Z name: linux-jammy-cuda12.8-py3.10-gcc11-sm86 2025-12-04T09:04:18.0688217Z s3-bucket: gha-artifacts 2025-12-04T09:04:18.0688452Z region: us-east-1 2025-12-04T09:04:18.0688642Z env: 2025-12-04T09:04:18.0688815Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:18.0689042Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:18.0689321Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:18.0689632Z ##[endgroup] 2025-12-04T09:04:18.5289512Z (node:59795) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:04:18.5289965Z 2025-12-04T09:04:18.5290142Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:04:18.5290620Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:04:18.5291133Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:04:18.7352952Z Found 1 objects with prefix pytorch/pytorch/19922773007/linux-jammy-cuda12.8-py3.10-gcc11-sm86/ 2025-12-04T09:04:18.7353656Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:04:29.9141294Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:04:29.9147219Z Artifact download has finished successfully 2025-12-04T09:04:29.9526140Z ##[group]Run unzip -o artifacts.zip 2025-12-04T09:04:29.9526453Z unzip -o artifacts.zip 2025-12-04T09:04:29.9536173Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:29.9536494Z env: 2025-12-04T09:04:29.9536682Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:29.9536915Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:29.9537186Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:29.9537500Z ##[endgroup] 2025-12-04T09:04:29.9608546Z Archive: artifacts.zip 2025-12-04T09:04:29.9610017Z creating: dist/ 2025-12-04T09:04:29.9748392Z inflating: dist/.ninja_log 2025-12-04T09:04:32.0711158Z inflating: dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T09:04:32.0711739Z creating: build/ 2025-12-04T09:04:32.0711997Z creating: build/custom_test_artifacts/ 2025-12-04T09:04:32.0712448Z creating: build/custom_test_artifacts/custom-op-build/ 2025-12-04T09:04:32.0712981Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-12-04T09:04:32.0713903Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-12-04T09:04:32.0722404Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-12-04T09:04:32.0723100Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/ 2025-12-04T09:04:32.0723886Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeSystem.cmake 2025-12-04T09:04:32.0724621Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/ 2025-12-04T09:04:32.0725735Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/tmp/ 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2025-12-04T09:04:39.9699489Z inflating: build/bin/inline_container_test 2025-12-04T09:04:39.9754422Z inflating: build/bin/cuda_allocator_test 2025-12-04T09:04:39.9808782Z inflating: build/bin/cuda_apply_test 2025-12-04T09:04:39.9870601Z inflating: build/bin/cuda_atomic_ops_test 2025-12-04T09:04:39.9928435Z inflating: build/bin/cuda_caching_host_allocator_test 2025-12-04T09:04:39.9999143Z inflating: build/bin/cuda_complex_math_test 2025-12-04T09:04:40.0059910Z inflating: build/bin/cuda_complex_test 2025-12-04T09:04:40.0124818Z inflating: build/bin/cuda_cub_test 2025-12-04T09:04:40.0179938Z inflating: build/bin/cuda_cublas_handle_pool_test 2025-12-04T09:04:40.0231050Z inflating: build/bin/cuda_device_test 2025-12-04T09:04:40.0297257Z inflating: build/bin/cuda_distributions_test 2025-12-04T09:04:40.0348409Z inflating: build/bin/cuda_exchange_device_test 2025-12-04T09:04:40.0403272Z inflating: build/bin/cuda_event_test 2025-12-04T09:04:40.0457103Z inflating: build/bin/cuda_dlconvertor_test 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inflating: build/bin/TCPStoreTest 2025-12-04T09:04:40.2617285Z inflating: build/bin/HashStoreTest 2025-12-04T09:04:40.2631265Z inflating: build/bin/ProcessGroupMPITest 2025-12-04T09:04:40.2634362Z inflating: build/bin/example_allreduce 2025-12-04T09:04:40.2691107Z inflating: build/bin/test_dist_autograd 2025-12-04T09:04:40.2759336Z inflating: build/bin/ProcessGroupGlooTest 2025-12-04T09:04:40.2817761Z inflating: build/bin/ProcessGroupGlooAsyncTest 2025-12-04T09:04:40.2883595Z inflating: build/bin/ProcessGroupNCCLTest 2025-12-04T09:04:40.2946768Z inflating: build/bin/ProcessGroupNCCLErrorsTest 2025-12-04T09:04:40.3016323Z inflating: build/bin/test_cpp_rpc 2025-12-04T09:04:40.4137493Z inflating: build/bin/test_api 2025-12-04T09:04:40.4140511Z inflating: build/bin/parallel_benchmark 2025-12-04T09:04:40.4144457Z inflating: build/bin/torch_shm_manager 2025-12-04T09:04:40.4145033Z creating: .additional_ci_files/ 2025-12-04T09:04:40.4205715Z inflating: .additional_ci_files/test-times.json 2025-12-04T09:04:40.4427072Z inflating: .additional_ci_files/test-class-times.json 2025-12-04T09:04:40.4468851Z ##[group]Run rm artifacts.zip 2025-12-04T09:04:40.4469124Z rm artifacts.zip 2025-12-04T09:04:40.4478484Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:40.4479013Z env: 2025-12-04T09:04:40.4479359Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:40.4479612Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:40.4479904Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:40.4480222Z ##[endgroup] 2025-12-04T09:04:40.8099190Z ##[group]Run df -H 2025-12-04T09:04:40.8099409Z df -H 2025-12-04T09:04:40.8108329Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:40.8108669Z env: 2025-12-04T09:04:40.8108862Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:40.8109107Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:40.8109400Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:40.8109735Z ##[endgroup] 2025-12-04T09:04:40.8166905Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T09:04:40.8167512Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T09:04:40.8168426Z tmpfs 34G 0 34G 0% /dev/shm 2025-12-04T09:04:40.8168843Z tmpfs 14G 562k 14G 1% /run 2025-12-04T09:04:40.8179879Z /dev/nvme0n1p1 161G 54G 108G 34% / 2025-12-04T09:04:40.8180406Z tmpfs 34G 17k 34G 1% /tmp 2025-12-04T09:04:40.8180902Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T09:04:40.8181321Z tmpfs 6.7G 0 6.7G 0% /run/user/0 2025-12-04T09:04:40.8211528Z Prepare all required actions 2025-12-04T09:04:40.8212529Z Getting action download info 2025-12-04T09:04:41.0141810Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T09:04:41.0142129Z with: 2025-12-04T09:04:41.0142309Z env: 2025-12-04T09:04:41.0142496Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:41.0142742Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:41.0143028Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:41.0143340Z ##[endgroup] 2025-12-04T09:04:41.0198164Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:04:41.0198586Z with: 2025-12-04T09:04:41.0198859Z name: td_results 2025-12-04T09:04:41.0199204Z s3-bucket: gha-artifacts 2025-12-04T09:04:41.0199572Z region: us-east-1 2025-12-04T09:04:41.0199846Z env: 2025-12-04T09:04:41.0200162Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:41.0200515Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:41.0200873Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:41.0201449Z ##[endgroup] 2025-12-04T09:04:41.4874642Z (node:59823) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:04:41.4875341Z 2025-12-04T09:04:41.4875603Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:04:41.4876423Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:04:41.4877051Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:04:41.5907227Z Found 1 objects with prefix pytorch/pytorch/19922773007/td_results/ 2025-12-04T09:04:41.5907939Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:04:41.6533522Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:04:41.6539926Z Artifact download has finished successfully 2025-12-04T09:04:41.6881892Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T09:04:41.6882316Z mkdir -p .additional_ci_files 2025-12-04T09:04:41.6882880Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T09:04:41.6892154Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:41.6892697Z env: 2025-12-04T09:04:41.6892947Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:41.6893260Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:41.6893732Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:41.6894106Z ##[endgroup] 2025-12-04T09:04:41.7021348Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T09:04:41.7021704Z .github/scripts/parse_ref.py 2025-12-04T09:04:41.7030690Z shell: /usr/bin/bash -e {0} 2025-12-04T09:04:41.7030924Z env: 2025-12-04T09:04:41.7031264Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:41.7031506Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:41.7031786Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:41.7032092Z ##[endgroup] 2025-12-04T09:04:41.7268745Z Setting output branch=main 2025-12-04T09:04:41.7388359Z Prepare all required actions 2025-12-04T09:04:41.7388686Z Getting action download info 2025-12-04T09:04:41.8991374Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T09:04:41.8991680Z with: 2025-12-04T09:04:41.8992039Z github-token: *** 2025-12-04T09:04:41.8994434Z test-matrix: {"include": [{"config": "slow", "shard": 1, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 1, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T09:04:41.8997039Z job-name: linux-jammy-cuda12.8-py3.10-gcc11-sm86 / test (slow, 1, 3, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:04:41.8997617Z env: 2025-12-04T09:04:41.8997815Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:41.8998063Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:41.8998352Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:41.8998667Z ##[endgroup] 2025-12-04T09:04:41.9032281Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:04:41.9032546Z with: 2025-12-04T09:04:41.9032721Z shell: bash 2025-12-04T09:04:41.9032918Z timeout_minutes: 10 2025-12-04T09:04:41.9033139Z max_attempts: 5 2025-12-04T09:04:41.9033338Z retry_wait_seconds: 30 2025-12-04T09:04:41.9034161Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:04:41.9034885Z polling_interval_seconds: 1 2025-12-04T09:04:41.9035125Z warning_on_retry: true 2025-12-04T09:04:41.9035360Z continue_on_error: false 2025-12-04T09:04:41.9035582Z env: 2025-12-04T09:04:41.9035760Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:41.9035989Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:41.9036266Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:41.9036706Z GITHUB_TOKEN: *** 2025-12-04T09:04:41.9036902Z ##[endgroup] 2025-12-04T09:04:42.0059573Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:04:42.2413622Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:04:42.3597157Z Collecting requests==2.27.1 2025-12-04T09:04:42.3750230Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T09:04:42.5664581Z Collecting pyyaml==6.0.2 2025-12-04T09:04:42.5710166Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T09:04:43.0347059Z Collecting charset-normalizer~=2.0.0 2025-12-04T09:04:43.0381956Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T09:04:43.0906413Z Collecting certifi>=2017.4.17 2025-12-04T09:04:43.0940981Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T09:04:43.1001114Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T09:04:43.1005673Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T09:04:43.1820043Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T09:04:43.2934666Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T09:04:43.9817338Z Command completed after 1 attempt(s). 2025-12-04T09:04:43.9889137Z ##[group]Run set -x 2025-12-04T09:04:43.9889378Z set -x 2025-12-04T09:04:43.9889794Z  2025-12-04T09:04:43.9890138Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:04:43.9890569Z # in runner workspace 2025-12-04T09:04:43.9890921Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T09:04:43.9899886Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:43.9900226Z env: 2025-12-04T09:04:43.9900425Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:43.9900663Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:43.9900950Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:43.9901271Z ##[endgroup] 2025-12-04T09:04:43.9932965Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T09:04:44.0114751Z Setting output branch=main 2025-12-04T09:04:44.0169405Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:04:44.0169777Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:04:44.0170105Z echo "Job name: ${JOB_NAME}" 2025-12-04T09:04:44.0170371Z  2025-12-04T09:04:44.0170711Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:04:44.0171140Z # in runner workspace 2025-12-04T09:04:44.0171528Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T09:04:44.0172004Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T09:04:44.0172333Z  --job-name "${JOB_NAME}" \ 2025-12-04T09:04:44.0174692Z  --test-matrix "{"include": [{"config": "slow", "shard": 1, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 1, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]}" \ 2025-12-04T09:04:44.0177085Z  --selected-test-configs "" \ 2025-12-04T09:04:44.0177381Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T09:04:44.0177661Z  --tag "${TAG}" \ 2025-12-04T09:04:44.0177960Z  --event-name "${EVENT_NAME}" \ 2025-12-04T09:04:44.0178242Z  --schedule "${SCHEDULE}" \ 2025-12-04T09:04:44.0178527Z  --branch "${HEAD_BRANCH}" 2025-12-04T09:04:44.0187535Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:44.0187868Z env: 2025-12-04T09:04:44.0188069Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:44.0188319Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:44.0188606Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:44.0189135Z GITHUB_TOKEN: *** 2025-12-04T09:04:44.0189628Z JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11-sm86 / test (slow, 1, 3, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:04:44.0190164Z PR_NUMBER: 2025-12-04T09:04:44.0190358Z TAG: 2025-12-04T09:04:44.0190552Z EVENT_NAME: schedule 2025-12-04T09:04:44.0190778Z SCHEDULE: 29 8 * * * 2025-12-04T09:04:44.0190992Z HEAD_BRANCH: main 2025-12-04T09:04:44.0191203Z ##[endgroup] 2025-12-04T09:04:44.0220953Z Workflow: slow 2025-12-04T09:04:44.0221491Z Job name: linux-jammy-cuda12.8-py3.10-gcc11-sm86 / test (slow, 1, 3, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:04:44.2782467Z Setting output keep-going=True 2025-12-04T09:04:44.2782772Z Setting output ci-verbose-test-logs=False 2025-12-04T09:04:44.2783095Z Setting output ci-test-showlocals=False 2025-12-04T09:04:44.2783661Z Setting output ci-no-test-timeout=False 2025-12-04T09:04:44.2783954Z Setting output ci-no-td=False 2025-12-04T09:04:44.2784232Z Setting output ci-td-distributed=False 2025-12-04T09:04:44.2784528Z Setting output is-unstable=False 2025-12-04T09:04:44.2784809Z Setting output reenabled-issues= 2025-12-04T09:04:44.2789931Z Setting output test-matrix={"include": [{"config": "slow", "shard": 1, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 1, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 1, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 1, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T09:04:44.2795281Z Setting output is-test-matrix-empty=False 2025-12-04T09:04:44.2908711Z ##[group]Run echo "Filtered matrix:" 2025-12-04T09:04:44.2909036Z echo "Filtered matrix:" 2025-12-04T09:04:44.2914721Z echo "{"include": [{"config": "slow", "shard": 1, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 1, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 1, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 1, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]}" 2025-12-04T09:04:44.2920073Z  2025-12-04T09:04:44.2920249Z echo 2025-12-04T09:04:44.2920494Z echo "Is the current job unstable? False" 2025-12-04T09:04:44.2920788Z  2025-12-04T09:04:44.2920962Z echo 2025-12-04T09:04:44.2921187Z echo "Is keep-going label set? True" 2025-12-04T09:04:44.2921465Z  2025-12-04T09:04:44.2921635Z echo 2025-12-04T09:04:44.2921842Z echo "Reenabled issues? " 2025-12-04T09:04:44.2930908Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:44.2931249Z env: 2025-12-04T09:04:44.2931450Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:44.2931699Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:44.2931992Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:44.2932309Z ##[endgroup] 2025-12-04T09:04:44.2961469Z Filtered matrix: 2025-12-04T09:04:44.2968033Z {include: [{config: slow, shard: 1, num_shards: 3, runner: linux.g5.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check}, {config: slow, shard: 1, num_shards: 3, runner: linux.g5.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: slow, shard: 1, num_shards: 3, runner: linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: slow, shard: 1, num_shards: 3, runner: linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}, {config: slow, shard: 2, num_shards: 3, runner: linux.g5.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check}, {config: slow, shard: 2, num_shards: 3, runner: linux.g5.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: slow, shard: 2, num_shards: 3, runner: linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: slow, shard: 2, num_shards: 3, runner: linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}, {config: slow, shard: 3, num_shards: 3, runner: linux.g5.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check}, {config: slow, shard: 3, num_shards: 3, runner: linux.g5.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: slow, shard: 3, num_shards: 3, runner: linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: slow, shard: 3, num_shards: 3, runner: linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}]} 2025-12-04T09:04:44.2973083Z 2025-12-04T09:04:44.2973192Z Is the current job unstable? False 2025-12-04T09:04:44.2973375Z 2025-12-04T09:04:44.2973471Z Is keep-going label set? True 2025-12-04T09:04:44.2973644Z 2025-12-04T09:04:44.2973725Z Reenabled issues? 2025-12-04T09:04:44.3004631Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:04:44.3005110Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:04:44.3014470Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:44.3014800Z env: 2025-12-04T09:04:44.3015003Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:44.3015247Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:44.3015527Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:44.3015850Z JOB_TIMEOUT: 240 2025-12-04T09:04:44.3016060Z ##[endgroup] 2025-12-04T09:04:44.3079832Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:04:44.3080310Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:04:44.3080725Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:04:44.3089080Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:44.3089412Z env: 2025-12-04T09:04:44.3089609Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:44.3089853Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:44.3090135Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:44.3090458Z ##[endgroup] 2025-12-04T09:04:44.3203480Z ##[group]Run set -x 2025-12-04T09:04:44.3203783Z set -x 2025-12-04T09:04:44.3203984Z  2025-12-04T09:04:44.3204214Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T09:04:44.3204566Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T09:04:44.3204928Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T09:04:44.3205257Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T09:04:44.3205522Z else 2025-12-04T09:04:44.3205753Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:04:44.3206029Z fi 2025-12-04T09:04:44.3206229Z  2025-12-04T09:04:44.3206472Z # Leaving 1GB for the runner and other things 2025-12-04T09:04:44.3206991Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T09:04:44.3207754Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T09:04:44.3208379Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T09:04:44.3208852Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T09:04:44.3209214Z  2025-12-04T09:04:44.3209445Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:04:44.3209748Z  SHM_OPTS= 2025-12-04T09:04:44.3209968Z  JENKINS_USER= 2025-12-04T09:04:44.3210276Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T09:04:44.3210704Z  # if for some reason cleanup action doesn't stop container 2025-12-04T09:04:44.3211063Z  # when job is cancelled 2025-12-04T09:04:44.3211335Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T09:04:44.3211625Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T09:04:44.3211897Z else 2025-12-04T09:04:44.3212123Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T09:04:44.3212420Z  JENKINS_USER="--user jenkins" 2025-12-04T09:04:44.3212696Z  DOCKER_SHELL_CMD= 2025-12-04T09:04:44.3212951Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T09:04:44.3213480Z fi 2025-12-04T09:04:44.3213695Z  2025-12-04T09:04:44.3213990Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T09:04:44.3214458Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T09:04:44.3214983Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T09:04:44.3215453Z # shellcheck disable=SC2086,SC2090 2025-12-04T09:04:44.3215748Z container_name=$(docker run \ 2025-12-04T09:04:44.3216013Z  ${GPU_FLAG:-} \ 2025-12-04T09:04:44.3216280Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T09:04:44.3216585Z  -e BUILD_ENVIRONMENT \ 2025-12-04T09:04:44.3216843Z  -e PR_NUMBER \ 2025-12-04T09:04:44.3217081Z  -e GITHUB_ACTIONS \ 2025-12-04T09:04:44.3217335Z  -e GITHUB_REPOSITORY \ 2025-12-04T09:04:44.3217594Z  -e GITHUB_WORKFLOW \ 2025-12-04T09:04:44.3217840Z  -e GITHUB_JOB \ 2025-12-04T09:04:44.3218075Z  -e GITHUB_RUN_ID \ 2025-12-04T09:04:44.3218321Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T09:04:44.3218574Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T09:04:44.3218832Z  -e JOB_ID \ 2025-12-04T09:04:44.3219053Z  -e JOB_NAME \ 2025-12-04T09:04:44.3219276Z  -e BASE_SHA \ 2025-12-04T09:04:44.3219492Z  -e BRANCH \ 2025-12-04T09:04:44.3219878Z  -e SHA1 \ 2025-12-04T09:04:44.3220096Z  -e AWS_DEFAULT_REGION \ 2025-12-04T09:04:44.3220347Z  -e IN_WHEEL_TEST \ 2025-12-04T09:04:44.3220587Z  -e SHARD_NUMBER \ 2025-12-04T09:04:44.3220825Z  -e TEST_CONFIG \ 2025-12-04T09:04:44.3221057Z  -e NUM_TEST_SHARDS \ 2025-12-04T09:04:44.3221463Z  -e REENABLED_ISSUES \ 2025-12-04T09:04:44.3221733Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T09:04:44.3222000Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T09:04:44.3222257Z  -e TEST_SHOWLOCALS \ 2025-12-04T09:04:44.3222507Z  -e NO_TEST_TIMEOUT \ 2025-12-04T09:04:44.3222744Z  -e NO_TD \ 2025-12-04T09:04:44.3222969Z  -e TD_DISTRIBUTED \ 2025-12-04T09:04:44.3223214Z  -e PR_LABELS \ 2025-12-04T09:04:44.3223481Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T09:04:44.3223766Z  -e SCCACHE_BUCKET \ 2025-12-04T09:04:44.3224026Z  -e SCCACHE_REGION \ 2025-12-04T09:04:44.3224268Z  -e XLA_CUDA \ 2025-12-04T09:04:44.3224518Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T09:04:44.3224835Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T09:04:44.3225162Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T09:04:44.3225496Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T09:04:44.3225794Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T09:04:44.3226092Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T09:04:44.3226396Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T09:04:44.3226673Z  -e DASHBOARD_TAG \ 2025-12-04T09:04:44.3226958Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T09:04:44.3227303Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T09:04:44.3227673Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T09:04:44.3228035Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T09:04:44.3228389Z  --security-opt seccomp=unconfined \ 2025-12-04T09:04:44.3228688Z  --cap-add=SYS_PTRACE \ 2025-12-04T09:04:44.3228940Z  --ipc=host \ 2025-12-04T09:04:44.3229168Z  ${SHM_OPTS} \ 2025-12-04T09:04:44.3229387Z  --tty \ 2025-12-04T09:04:44.3229586Z  --detach \ 2025-12-04T09:04:44.3229822Z  --name="${container_name}" \ 2025-12-04T09:04:44.3230096Z  ${JENKINS_USER} \ 2025-12-04T09:04:44.3230403Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T09:04:44.3230748Z  -w /var/lib/jenkins/workspace \ 2025-12-04T09:04:44.3231024Z  "${USED_IMAGE}" \ 2025-12-04T09:04:44.3231265Z  ${DOCKER_SHELL_CMD} 2025-12-04T09:04:44.3231487Z ) 2025-12-04T09:04:44.3231782Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T09:04:44.3232136Z  2025-12-04T09:04:44.3232362Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:04:44.3232882Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T09:04:44.3233340Z fi 2025-12-04T09:04:44.3233517Z  2025-12-04T09:04:44.3234015Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T09:04:44.3242610Z shell: /usr/bin/bash -e {0} 2025-12-04T09:04:44.3242840Z env: 2025-12-04T09:04:44.3243015Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:44.3243247Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:44.3243529Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:44.3243929Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc11-sm86 2025-12-04T09:04:44.3244266Z PR_NUMBER: 2025-12-04T09:04:44.3244479Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T09:04:44.3244745Z GITHUB_WORKFLOW: slow 2025-12-04T09:04:44.3244957Z GITHUB_JOB: test 2025-12-04T09:04:44.3245260Z GITHUB_RUN_ID: 19922773007 2025-12-04T09:04:44.3245503Z GITHUB_RUN_NUMBER: 21325 2025-12-04T09:04:44.3245725Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T09:04:44.3245936Z JOB_ID: 57116039068 2025-12-04T09:04:44.3246433Z JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11-sm86 / test (slow, 1, 3, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:04:44.3247061Z BRANCH: main 2025-12-04T09:04:44.3247301Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:04:44.3247649Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:04:44.3247953Z TEST_CONFIG: slow 2025-12-04T09:04:44.3248144Z SHARD_NUMBER: 1 2025-12-04T09:04:44.3248340Z NUM_TEST_SHARDS: 3 2025-12-04T09:04:44.3248542Z EXTRA_FLAGS: 2025-12-04T09:04:44.3248730Z OP_BENCHMARK_TESTS: 2025-12-04T09:04:44.3248941Z REENABLED_ISSUES: 2025-12-04T09:04:44.3249158Z CONTINUE_THROUGH_ERROR: True 2025-12-04T09:04:44.3249395Z VERBOSE_TEST_LOGS: False 2025-12-04T09:04:44.3249626Z TEST_SHOWLOCALS: False 2025-12-04T09:04:44.3249858Z NO_TEST_TIMEOUT: False 2025-12-04T09:04:44.3250065Z NO_TD: False 2025-12-04T09:04:44.3250256Z TD_DISTRIBUTED: False 2025-12-04T09:04:44.3250530Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T09:04:44.3250840Z SCCACHE_REGION: us-east-1 2025-12-04T09:04:44.3251062Z SHM_SIZE: 2g 2025-12-04T09:04:44.3251763Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:04:44.3253021Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:04:44.3253771Z XLA_CUDA: 2025-12-04T09:04:44.3254088Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:04:44.3254493Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T09:04:44.3254778Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 1 2025-12-04T09:04:44.3255038Z DASHBOARD_TAG: 2025-12-04T09:04:44.3255422Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T09:04:44.3255786Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T09:04:44.3256161Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T09:04:44.3256557Z ARTIFACTS_FILE_SUFFIX: test-slow-1-3-linux.g5.4xlarge.nvidia.gpu_57116039068 2025-12-04T09:04:44.3256982Z ##[endgroup] 2025-12-04T09:04:44.3287195Z + [[ slow == \m\u\l\t\i\g\p\u ]] 2025-12-04T09:04:44.3287562Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *onnx* ]] 2025-12-04T09:04:44.3287907Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:04:44.3291088Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T09:04:44.3316713Z + TOTAL_AVAILABLE_MEMORY_IN_GB='61.094 ' 2025-12-04T09:04:44.3317179Z + TOTAL_MEMORY_WITH_SWAP=64 2025-12-04T09:04:44.3317535Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *\s\3\9\0\x* ]] 2025-12-04T09:04:44.3317887Z + SHM_OPTS=--shm-size=2g 2025-12-04T09:04:44.3318129Z + JENKINS_USER='--user jenkins' 2025-12-04T09:04:44.3318385Z + DOCKER_SHELL_CMD= 2025-12-04T09:04:44.3319089Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:04:44.3326919Z +++ nproc --ignore=2 2025-12-04T09:04:44.3355603Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=14 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=61g --memory-swap=64g --env-file=/tmp/github_env_19922773007 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --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-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:04:56.0049025Z + container_name=190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:04:56.0049674Z + echo DOCKER_CONTAINER_ID=190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:04:56.0050499Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *\s\3\9\0\x* ]] 2025-12-04T09:04:56.0059035Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T09:04:56.0062385Z + docker exec -t 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T09:04:56.4900801Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T09:04:56.8474620Z 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) 2025-12-04T09:04:56.8479103Z 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) 2025-12-04T09:04:56.8483570Z 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) 2025-12-04T09:04:56.8488290Z 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) 2025-12-04T09:04:56.8491986Z 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) 2025-12-04T09:04:56.8497163Z 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) 2025-12-04T09:04:56.8510405Z 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) 2025-12-04T09:04:56.8905721Z 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) 2025-12-04T09:04:56.8925177Z 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) 2025-12-04T09:04:56.8982594Z 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) 2025-12-04T09:04:57.3239101Z Installing collected packages: torch 2025-12-04T09:05:09.5591307Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T09:05:09.6357364Z + export TERM=vt100 2025-12-04T09:05:09.6358324Z + TERM=vt100 2025-12-04T09:05:09.6360451Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:05:09.6370925Z + source .ci/pytorch/common.sh 2025-12-04T09:05:09.6374059Z +++ dirname .ci/pytorch/common.sh 2025-12-04T09:05:09.6382766Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T09:05:09.6384536Z +++ declare -f -t trap_add 2025-12-04T09:05:09.6395359Z ++ set -ex -o pipefail 2025-12-04T09:05:09.6395704Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *rocm* ]] 2025-12-04T09:05:09.6396491Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T09:05:09.6496375Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:05:09.6506789Z + source .ci/pytorch/common-build.sh 2025-12-04T09:05:09.6508318Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 != *win-* ]] 2025-12-04T09:05:09.6515146Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T09:05:09.6525964Z +++ cd .ci/pytorch 2025-12-04T09:05:09.6526190Z +++ pwd -P 2025-12-04T09:05:09.6528669Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T09:05:09.6529093Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *-pch* ]] 2025-12-04T09:05:09.6529425Z ++ which sccache 2025-12-04T09:05:09.6589406Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T09:05:09.6589856Z ++ sccache --stop-server 2025-12-04T09:05:09.6623600Z ++ true 2025-12-04T09:05:09.6623826Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T09:05:09.6635189Z ++ trap_add sccache_epilogue EXIT 2025-12-04T09:05:09.6635477Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T09:05:09.6635825Z ++ shift 2025-12-04T09:05:09.6636021Z ++ for trap_add_name in "$@" 2025-12-04T09:05:09.6642290Z ++++ trap -p EXIT 2025-12-04T09:05:09.6645461Z +++ eval 'extract_trap_cmd ' 2025-12-04T09:05:09.6645703Z ++++ extract_trap_cmd 2025-12-04T09:05:09.6645922Z ++++ printf '%s\n' '' 2025-12-04T09:05:09.6646155Z +++ printf '%s\n' sccache_epilogue 2025-12-04T09:05:09.6648799Z ++ trap -- ' 2025-12-04T09:05:09.6649023Z sccache_epilogue' EXIT 2025-12-04T09:05:09.6649238Z ++ [[ -n 1 ]] 2025-12-04T09:05:09.6649584Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T09:05:09.6650110Z Skipping sccache server initialization, setting environment variables 2025-12-04T09:05:09.6650505Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:05:09.6650766Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:05:09.6651088Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:05:09.6651493Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:05:09.6658749Z ++ export RUST_LOG=sccache::server=error 2025-12-04T09:05:09.6659068Z ++ RUST_LOG=sccache::server=error 2025-12-04T09:05:09.6659326Z ++ sccache --zero-stats 2025-12-04T09:05:10.1182703Z Statistics zeroed. 2025-12-04T09:05:10.1192007Z ++ which ccache 2025-12-04T09:05:10.1209724Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 != *rocm* ]] 2025-12-04T09:05:10.1210147Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 != *s390x* ]] 2025-12-04T09:05:10.1210488Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T09:05:10.1213432Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T09:05:10.1231381Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T09:05:10.1231704Z + trap_add cleanup_workspace EXIT 2025-12-04T09:05:10.1231998Z + trap_add_cmd=cleanup_workspace 2025-12-04T09:05:10.1232240Z + shift 2025-12-04T09:05:10.1232430Z + for trap_add_name in "$@" 2025-12-04T09:05:10.1240287Z +++ trap -p EXIT 2025-12-04T09:05:10.1243905Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T09:05:10.1244323Z sccache_epilogue'\'' EXIT' 2025-12-04T09:05:10.1244672Z +++ extract_trap_cmd trap -- ' 2025-12-04T09:05:10.1245025Z sccache_epilogue' EXIT 2025-12-04T09:05:10.1245335Z +++ printf '%s\n' ' 2025-12-04T09:05:10.1245552Z sccache_epilogue' 2025-12-04T09:05:10.1245792Z ++ printf '%s\n' cleanup_workspace 2025-12-04T09:05:10.1248375Z + trap -- ' 2025-12-04T09:05:10.1248586Z sccache_epilogue 2025-12-04T09:05:10.1248807Z cleanup_workspace' EXIT 2025-12-04T09:05:10.1249091Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T09:05:11.1519155Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T09:05:11.1542766Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *cuda* ]] 2025-12-04T09:05:11.1547354Z ++ python -c 'import os;import numba.cuda; print(os.path.dirname(numba.cuda.__file__))' 2025-12-04T09:05:11.5758702Z + NUMBA_CUDA_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:05:11.5759260Z + '[' -n /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ']' 2025-12-04T09:05:11.5765408Z +++ realpath .ci/pytorch/test.sh 2025-12-04T09:05:11.5781069Z ++ dirname /var/lib/jenkins/workspace/.ci/pytorch/test.sh 2025-12-04T09:05:11.5799265Z + NUMBA_PATCH=/var/lib/jenkins/workspace/.ci/pytorch/numba-cuda-13.patch 2025-12-04T09:05:11.5799928Z + pushd /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:05:11.5800672Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ~/workspace 2025-12-04T09:05:11.5801086Z + patch -p4 2025-12-04T09:05:11.5816039Z patching file cudadrv/driver.py 2025-12-04T09:05:11.5816333Z Hunk #1 succeeded at 357 (offset -8 lines). 2025-12-04T09:05:11.5837605Z + popd 2025-12-04T09:05:11.5837819Z ~/workspace 2025-12-04T09:05:11.5838015Z + echo 'Environment variables:' 2025-12-04T09:05:11.5838268Z Environment variables: 2025-12-04T09:05:11.5838478Z + env 2025-12-04T09:05:11.5850821Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:05:11.5851415Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:05:11.5851908Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11-sm86 2025-12-04T09:05:11.5852614Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:05:11.5852875Z HOSTNAME=190fcd6c4d74 2025-12-04T09:05:11.5853401Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_4a2d60ee-5f95-4d92-8e18-0bf0db4dbde0 2025-12-04T09:05:11.5853965Z GITHUB_ACTION=__run_3 2025-12-04T09:05:11.5854209Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:05:11.5854484Z GITHUB_RUN_NUMBER=21325 2025-12-04T09:05:11.5854711Z TEST_CONFIG=slow 2025-12-04T09:05:11.5854939Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:05:11.5855257Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:05:11.5855536Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:05:11.5855882Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:05:11.5856141Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:05:11.5856392Z GITHUB_REF_TYPE=branch 2025-12-04T09:05:11.5856663Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:11.5856962Z XLA_CUDA= 2025-12-04T09:05:11.5857175Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:05:11.5857542Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:05:11.5858105Z *** 2025-12-04T09:05:11.5858354Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:05:11.5858628Z GITHUB_ACTIONS=true 2025-12-04T09:05:11.5858946Z NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:05:11.5859355Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:05:11.5860013Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:11.5860368Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:11.5860827Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/slow.yml@refs/heads/main 2025-12-04T09:05:11.5861235Z UCC_HOME=/usr 2025-12-04T09:05:11.5861445Z VERBOSE_TEST_LOGS=False 2025-12-04T09:05:11.5861680Z GITHUB_REF=refs/heads/main 2025-12-04T09:05:11.5861907Z SHARD_NUMBER=1 2025-12-04T09:05:11.5862119Z GITHUB_REF_PROTECTED=true 2025-12-04T09:05:11.5862356Z HOME=/var/lib/jenkins 2025-12-04T09:05:11.5862605Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:05:11.5862910Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:05:11.5863234Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T09:05:11.5863534Z USE_SYSTEM_NCCL=1 2025-12-04T09:05:11.5863745Z NUM_TEST_SHARDS=3 2025-12-04T09:05:11.5863948Z UCX_HOME=/usr 2025-12-04T09:05:11.5864460Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_4a2d60ee-5f95-4d92-8e18-0bf0db4dbde0 2025-12-04T09:05:11.5865305Z JOB_NAME=linux-jammy-cuda12.8-py3.10-gcc11-sm86 / test (slow, 1, 3, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:05:11.5866122Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_4a2d60ee-5f95-4d92-8e18-0bf0db4dbde0 2025-12-04T09:05:11.5866843Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:05:11.5867289Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:05:11.5867535Z DASHBOARD_TAG= 2025-12-04T09:05:11.5867746Z GITHUB_RUN_ID=19922773007 2025-12-04T09:05:11.5869520Z INSTALLED_OPENBLAS= 2025-12-04T09:05:11.5870073Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_4a2d60ee-5f95-4d92-8e18-0bf0db4dbde0 2025-12-04T09:05:11.5870672Z GITHUB_ACTOR=huydhn 2025-12-04T09:05:11.5870876Z PR_NUMBER= 2025-12-04T09:05:11.5871078Z DESIRED_CUDA=12.8.1 2025-12-04T09:05:11.5871293Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:05:11.5871666Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:05:11.5871982Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:05:11.5872295Z TERM=vt100 2025-12-04T09:05:11.5872510Z INSTALLED_VISION=yes 2025-12-04T09:05:11.5872726Z BRANCH=main 2025-12-04T09:05:11.5872930Z SCCACHE_REGION=us-east-1 2025-12-04T09:05:11.5873179Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:05:11.5873432Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:05:11.5873672Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:05:11.5874399Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:05:11.5875144Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:05:11.5875584Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T09:05:11.5876001Z REENABLED_ISSUES= 2025-12-04T09:05:11.5876269Z DOCS= 2025-12-04T09:05:11.5876491Z SHLVL=1 2025-12-04T09:05:11.5876722Z MAX_JOBS=14 2025-12-04T09:05:11.5876978Z GITHUB_ACTOR_ID=475357 2025-12-04T09:05:11.5877293Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:11.5877644Z GITHUB_REF_NAME=main 2025-12-04T09:05:11.5877995Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:05:11.5878376Z GITHUB_JOB=test 2025-12-04T09:05:11.5878587Z NO_TEST_TIMEOUT=False 2025-12-04T09:05:11.5878805Z TD_DISTRIBUTED=False 2025-12-04T09:05:11.5879027Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:05:11.5879289Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:05:11.5879520Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:05:11.5879745Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:05:11.5880430Z 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 2025-12-04T09:05:11.5881133Z GITHUB_BASE_REF= 2025-12-04T09:05:11.5881330Z INSTALLED_ACL= 2025-12-04T09:05:11.5881668Z ARTIFACTS_FILE_SUFFIX=test-slow-1-3-linux.g5.4xlarge.nvidia.gpu_57116039068 2025-12-04T09:05:11.5882113Z CI=true 2025-12-04T09:05:11.5882308Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:05:11.5882581Z RUST_LOG=sccache::server=error 2025-12-04T09:05:11.5882816Z JOB_ID=57116039068 2025-12-04T09:05:11.5883014Z GITHUB_HEAD_REF= 2025-12-04T09:05:11.5883203Z GITHUB_ACTION_REF= 2025-12-04T09:05:11.5883461Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:05:11.5883774Z TEST_SHOWLOCALS=False 2025-12-04T09:05:11.5883984Z GITHUB_WORKFLOW=slow 2025-12-04T09:05:11.5884207Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:05:11.5884776Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_4a2d60ee-5f95-4d92-8e18-0bf0db4dbde0 2025-12-04T09:05:11.5885343Z NO_TD=False 2025-12-04T09:05:11.5885538Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:05:11.5885809Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:05:11.5886075Z _=/usr/bin/env 2025-12-04T09:05:11.5886386Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:05:11.5886847Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T09:05:11.6015442Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-12-04T09:05:11.6016243Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:05:11.6016903Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-12-04T09:05:11.6017422Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-12-04T09:05:11.6017813Z + BUILD_DIR=build 2025-12-04T09:05:11.6018030Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T09:05:11.6018291Z + BUILD_BIN_DIR=build/bin 2025-12-04T09:05:11.6018529Z + SHARD_NUMBER=1 2025-12-04T09:05:11.6019049Z + NUM_TEST_SHARDS=3 2025-12-04T09:05:11.6019306Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:05:11.6019704Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:05:11.6019946Z + export VALGRIND=ON 2025-12-04T09:05:11.6020154Z + VALGRIND=ON 2025-12-04T09:05:11.6020433Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *clang9* ]] 2025-12-04T09:05:11.6020986Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *xpu* ]] 2025-12-04T09:05:11.6021299Z + detect_cuda_arch 2025-12-04T09:05:11.6021567Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *cuda* ]] 2025-12-04T09:05:11.6021897Z + command -v nvidia-smi 2025-12-04T09:05:11.6022110Z /usr/bin/nvidia-smi 2025-12-04T09:05:11.6026591Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-12-04T09:05:11.6028914Z ++ tail -n 1 2025-12-04T09:05:11.6263722Z + TORCH_CUDA_ARCH_LIST=8.6 2025-12-04T09:05:11.6264069Z + export TORCH_CUDA_ARCH_LIST 2025-12-04T09:05:11.6264472Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *s390x* ]] 2025-12-04T09:05:11.6264814Z + [[ 1 == \1 ]] 2025-12-04T09:05:11.6265007Z + ulimit -c 0 2025-12-04T09:05:11.6265270Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 != *bazel* ]] 2025-12-04T09:05:11.6269051Z ++ realpath build/custom_test_artifacts 2025-12-04T09:05:11.6288944Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T09:05:11.6289381Z + [[ -n '' ]] 2025-12-04T09:05:11.6289600Z + echo 'Environment variables' 2025-12-04T09:05:11.6289846Z Environment variables 2025-12-04T09:05:11.6290043Z + env 2025-12-04T09:05:11.6305963Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:05:11.6306513Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:05:11.6307339Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11-sm86 2025-12-04T09:05:11.6308087Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:05:11.6308468Z HOSTNAME=190fcd6c4d74 2025-12-04T09:05:11.6309184Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_4a2d60ee-5f95-4d92-8e18-0bf0db4dbde0 2025-12-04T09:05:11.6309964Z GITHUB_ACTION=__run_3 2025-12-04T09:05:11.6310311Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:05:11.6310652Z GITHUB_RUN_NUMBER=21325 2025-12-04T09:05:11.6310961Z TEST_CONFIG=slow 2025-12-04T09:05:11.6311183Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:05:11.6311468Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:05:11.6311743Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:05:11.6312147Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:05:11.6312482Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:05:11.6312729Z GITHUB_REF_TYPE=branch 2025-12-04T09:05:11.6312973Z TORCH_CUDA_ARCH_LIST=8.6 2025-12-04T09:05:11.6313579Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:11.6314031Z XLA_CUDA= 2025-12-04T09:05:11.6314287Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:05:11.6314818Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:05:11.6315199Z *** 2025-12-04T09:05:11.6315387Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:05:11.6315632Z GITHUB_ACTIONS=true 2025-12-04T09:05:11.6315931Z NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:05:11.6316257Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:05:11.6316633Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:11.6317050Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:11.6317542Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/slow.yml@refs/heads/main 2025-12-04T09:05:11.6318013Z UCC_HOME=/usr 2025-12-04T09:05:11.6318213Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:05:11.6318506Z VERBOSE_TEST_LOGS=False 2025-12-04T09:05:11.6318840Z GITHUB_REF=refs/heads/main 2025-12-04T09:05:11.6319141Z SHARD_NUMBER=1 2025-12-04T09:05:11.6319434Z GITHUB_REF_PROTECTED=true 2025-12-04T09:05:11.6319773Z HOME=/var/lib/jenkins 2025-12-04T09:05:11.6320132Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:05:11.6320485Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:05:11.6320930Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T09:05:11.6321375Z USE_SYSTEM_NCCL=1 2025-12-04T09:05:11.6321797Z NUM_TEST_SHARDS=3 2025-12-04T09:05:11.6321989Z UCX_HOME=/usr 2025-12-04T09:05:11.6322493Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_4a2d60ee-5f95-4d92-8e18-0bf0db4dbde0 2025-12-04T09:05:11.6323313Z JOB_NAME=linux-jammy-cuda12.8-py3.10-gcc11-sm86 / test (slow, 1, 3, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:05:11.6324242Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_4a2d60ee-5f95-4d92-8e18-0bf0db4dbde0 2025-12-04T09:05:11.6324954Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:05:11.6325393Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:05:11.6325613Z DASHBOARD_TAG= 2025-12-04T09:05:11.6325814Z GITHUB_RUN_ID=19922773007 2025-12-04T09:05:11.6326041Z INSTALLED_OPENBLAS= 2025-12-04T09:05:11.6326574Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_4a2d60ee-5f95-4d92-8e18-0bf0db4dbde0 2025-12-04T09:05:11.6327161Z GITHUB_ACTOR=huydhn 2025-12-04T09:05:11.6327356Z PR_NUMBER= 2025-12-04T09:05:11.6327539Z DESIRED_CUDA=12.8.1 2025-12-04T09:05:11.6327744Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:05:11.6327951Z VALGRIND=ON 2025-12-04T09:05:11.6328147Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:05:11.6328450Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:05:11.6328751Z TERM=vt100 2025-12-04T09:05:11.6328928Z INSTALLED_VISION=yes 2025-12-04T09:05:11.6329131Z BRANCH=main 2025-12-04T09:05:11.6329319Z SCCACHE_REGION=us-east-1 2025-12-04T09:05:11.6329554Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:05:11.6329808Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:05:11.6330035Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:05:11.6330495Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:05:11.6331002Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:05:11.6331316Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T09:05:11.6331617Z REENABLED_ISSUES= 2025-12-04T09:05:11.6331802Z DOCS= 2025-12-04T09:05:11.6331967Z SHLVL=1 2025-12-04T09:05:11.6332136Z MAX_JOBS=14 2025-12-04T09:05:11.6332314Z GITHUB_ACTOR_ID=475357 2025-12-04T09:05:11.6332617Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:11.6332955Z GITHUB_REF_NAME=main 2025-12-04T09:05:11.6333297Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:05:11.6333669Z GITHUB_JOB=test 2025-12-04T09:05:11.6333870Z NO_TEST_TIMEOUT=False 2025-12-04T09:05:11.6334080Z TD_DISTRIBUTED=False 2025-12-04T09:05:11.6334310Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:05:11.6334575Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:05:11.6334797Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:05:11.6335030Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:05:11.6335710Z 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 2025-12-04T09:05:11.6336406Z GITHUB_BASE_REF= 2025-12-04T09:05:11.6336598Z INSTALLED_ACL= 2025-12-04T09:05:11.6336943Z ARTIFACTS_FILE_SUFFIX=test-slow-1-3-linux.g5.4xlarge.nvidia.gpu_57116039068 2025-12-04T09:05:11.6337338Z CI=true 2025-12-04T09:05:11.6337524Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:05:11.6337808Z RUST_LOG=sccache::server=error 2025-12-04T09:05:11.6338049Z JOB_ID=57116039068 2025-12-04T09:05:11.6338243Z GITHUB_HEAD_REF= 2025-12-04T09:05:11.6338443Z GITHUB_ACTION_REF= 2025-12-04T09:05:11.6338706Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:05:11.6339010Z TEST_SHOWLOCALS=False 2025-12-04T09:05:11.6339224Z GITHUB_WORKFLOW=slow 2025-12-04T09:05:11.6339454Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:05:11.6340009Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_4a2d60ee-5f95-4d92-8e18-0bf0db4dbde0 2025-12-04T09:05:11.6340557Z NO_TD=False 2025-12-04T09:05:11.6340765Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:05:11.6341037Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:05:11.6341520Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:05:11.6341887Z _=/usr/bin/env 2025-12-04T09:05:11.6342098Z + echo 'Testing pytorch' 2025-12-04T09:05:11.6342316Z Testing pytorch 2025-12-04T09:05:11.6342528Z + export LANG=C.UTF-8 2025-12-04T09:05:11.6342732Z + LANG=C.UTF-8 2025-12-04T09:05:11.6342912Z + PR_NUMBER= 2025-12-04T09:05:11.6343194Z + [[ slow == \d\e\f\a\u\l\t ]] 2025-12-04T09:05:11.6343444Z + [[ slow == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T09:05:11.6343698Z + [[ slow == \s\l\o\w ]] 2025-12-04T09:05:11.6343926Z + export PYTORCH_TEST_WITH_SLOW=1 2025-12-04T09:05:11.6344186Z + PYTORCH_TEST_WITH_SLOW=1 2025-12-04T09:05:11.6344428Z + export PYTORCH_TEST_SKIP_FAST=1 2025-12-04T09:05:11.6344680Z + PYTORCH_TEST_SKIP_FAST=1 2025-12-04T09:05:11.6345017Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *slow-gradcheck* ]] 2025-12-04T09:05:11.6345439Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *cuda* ]] 2025-12-04T09:05:11.6345784Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T09:05:11.6346094Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T09:05:11.6346362Z + [[ slow == *crossref* ]] 2025-12-04T09:05:11.6346646Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *rocm* ]] 2025-12-04T09:05:11.6347022Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *xpu* ]] 2025-12-04T09:05:11.6347412Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 != *-bazel-* ]] 2025-12-04T09:05:11.6347747Z + pip_install ninja==1.10.2 2025-12-04T09:05:11.6348064Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T09:05:11.6348473Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T09:05:12.0309857Z Collecting ninja==1.10.2 2025-12-04T09:05:12.0555484Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T09:05:12.0661669Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T09:05:12.4372074Z Installing collected packages: ninja 2025-12-04T09:05:12.4372632Z Attempting uninstall: ninja 2025-12-04T09:05:12.4380400Z Found existing installation: ninja 1.11.1.4 2025-12-04T09:05:12.4405501Z Uninstalling ninja-1.11.1.4: 2025-12-04T09:05:12.4495112Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T09:05:12.4909268Z Successfully installed ninja-1.10.2 2025-12-04T09:05:12.5511211Z + 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 2025-12-04T09:05:12.5512630Z + 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 2025-12-04T09:05:12.5513834Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *aarch64* ]] 2025-12-04T09:05:12.5514330Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *asan* ]] 2025-12-04T09:05:12.5514791Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *-debug* ]] 2025-12-04T09:05:12.5515216Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 != *-bazel-* ]] 2025-12-04T09:05:12.5515828Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc11-sm86. Expect the assertion to pass' 2025-12-04T09:05:12.5516498Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc11-sm86. Expect the assertion to pass 2025-12-04T09:05:12.5516952Z + cd test 2025-12-04T09:05:12.5517266Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T09:05:14.2059020Z + [[ slow == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T09:05:14.2059352Z + [[ slow == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T09:05:14.2059669Z + [[ slow == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T09:05:14.2069714Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T09:05:14.2069992Z + [[ slow == *pr_time_benchmarks* ]] 2025-12-04T09:05:14.2070277Z + [[ slow == *dynamo_eager* ]] 2025-12-04T09:05:14.2070528Z + [[ slow == *aot_eager* ]] 2025-12-04T09:05:14.2071045Z + [[ slow == *aot_inductor* ]] 2025-12-04T09:05:14.2071302Z + [[ slow == *max_autotune_inductor* ]] 2025-12-04T09:05:14.2071581Z + [[ slow == *inductor* ]] 2025-12-04T09:05:14.2071816Z + [[ slow == *dynamic* ]] 2025-12-04T09:05:14.2072042Z + [[ slow == *cpu* ]] 2025-12-04T09:05:14.2072268Z + [[ slow == *xpu* ]] 2025-12-04T09:05:14.2072550Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T09:05:14.2102880Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *libtorch* ]] 2025-12-04T09:05:14.2103311Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *-bazel-* ]] 2025-12-04T09:05:14.2105891Z + cd test 2025-12-04T09:05:14.2106171Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T09:05:15.8800500Z PyTorch built with: 2025-12-04T09:05:15.8800780Z - GCC 11.4 2025-12-04T09:05:15.8800990Z - C++ Version: 201703 2025-12-04T09:05:15.8801516Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:05:15.8802157Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:05:15.8802593Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:05:15.8802902Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T09:05:15.8803200Z - NNPACK is enabled 2025-12-04T09:05:15.8803429Z - CPU capability usage: AVX2 2025-12-04T09:05:15.8803688Z - CUDA Runtime 12.8 2025-12-04T09:05:15.8804012Z - NVCC architecture flags: -gencode;arch=compute_86,code=sm_86 2025-12-04T09:05:15.8804381Z - CuDNN 91.0.2 (built against CUDA 12.9) 2025-12-04T09:05:15.8808627Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=35b7a9a26c5923d98aebaa41a031dae21788a9ee, CUDA_VERSION=12.8, CUDNN_VERSION=9.10.2, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -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=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-12-04T09:05:15.8812928Z 2025-12-04T09:05:16.2564944Z + cd test 2025-12-04T09:05:16.2565353Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T09:05:17.5840525Z ATen/Parallel: 2025-12-04T09:05:17.5840852Z at::get_num_threads() : 8 2025-12-04T09:05:17.5841146Z at::get_num_interop_threads() : 16 2025-12-04T09:05:17.5841432Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:05:17.5841693Z omp_get_max_threads() : 8 2025-12-04T09:05:17.5842196Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:05:17.5842720Z mkl_get_max_threads() : 8 2025-12-04T09:05:17.5843074Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:05:17.5843483Z std::thread::hardware_concurrency() : 16 2025-12-04T09:05:17.5843793Z Environment variables: 2025-12-04T09:05:17.5844031Z OMP_NUM_THREADS : [not set] 2025-12-04T09:05:17.5844269Z MKL_NUM_THREADS : [not set] 2025-12-04T09:05:17.5844519Z ATen parallel backend: OpenMP 2025-12-04T09:05:17.5844694Z 2025-12-04T09:05:17.9073763Z + [[ slow == *numpy_2* ]] 2025-12-04T09:05:17.9074333Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *aarch64* ]] 2025-12-04T09:05:17.9074804Z + [[ slow == *backward* ]] 2025-12-04T09:05:17.9075470Z + [[ slow == *libtorch_agnostic_targetting* ]] 2025-12-04T09:05:17.9075867Z + [[ slow == *xla* ]] 2025-12-04T09:05:17.9076151Z + [[ slow == *vllm* ]] 2025-12-04T09:05:17.9076423Z + [[ slow == *executorch* ]] 2025-12-04T09:05:17.9076676Z + [[ slow == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T09:05:17.9076962Z + [[ slow == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T09:05:17.9077559Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *libtorch* ]] 2025-12-04T09:05:17.9077969Z + [[ slow == distributed ]] 2025-12-04T09:05:17.9078246Z + [[ slow == *operator_benchmark* ]] 2025-12-04T09:05:17.9078541Z + [[ slow == *operator_microbenchmark* ]] 2025-12-04T09:05:17.9078914Z + [[ slow == *attention_microbenchmark* ]] 2025-12-04T09:05:17.9079201Z + [[ slow == *inductor_distributed* ]] 2025-12-04T09:05:17.9079482Z + [[ slow == *inductor-halide* ]] 2025-12-04T09:05:17.9079820Z + [[ slow == *inductor-pallas* ]] 2025-12-04T09:05:17.9080094Z + [[ slow == *inductor-triton-cpu* ]] 2025-12-04T09:05:17.9080410Z + [[ slow == *inductor-micro-benchmark* ]] 2025-12-04T09:05:17.9080793Z + [[ slow == *aoti_cross_compile_for_windows* ]] 2025-12-04T09:05:17.9081089Z + [[ slow == *huggingface* ]] 2025-12-04T09:05:17.9081368Z + [[ slow == *timm* ]] 2025-12-04T09:05:17.9081612Z + [[ slow == cachebench ]] 2025-12-04T09:05:17.9081849Z + [[ slow == verify_cachebench ]] 2025-12-04T09:05:17.9082114Z + [[ slow == *torchbench* ]] 2025-12-04T09:05:17.9082434Z + [[ slow == *inductor_cpp_wrapper* ]] 2025-12-04T09:05:17.9082710Z + [[ slow == *inductor_core* ]] 2025-12-04T09:05:17.9082978Z + [[ slow == *inductor* ]] 2025-12-04T09:05:17.9083257Z + [[ slow == *einops* ]] 2025-12-04T09:05:17.9083485Z + [[ slow == *dynamo_core* ]] 2025-12-04T09:05:17.9083730Z + [[ slow == *dynamo_wrapped* ]] 2025-12-04T09:05:17.9084110Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *rocm* ]] 2025-12-04T09:05:17.9084425Z + [[ 1 == 1 ]] 2025-12-04T09:05:17.9084635Z + [[ 3 -gt 1 ]] 2025-12-04T09:05:17.9084916Z + test_lazy_tensor_meta_reference_disabled 2025-12-04T09:05:17.9085280Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-12-04T09:05:17.9085725Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-12-04T09:05:17.9086110Z + echo 'Testing lazy tensor operations without meta reference' 2025-12-04T09:05:17.9086577Z Testing lazy tensor operations without meta reference 2025-12-04T09:05:17.9087012Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose 2025-12-04T09:05:22.9771457Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:05:23.0211849Z Ignoring disabled issues: [''] 2025-12-04T09:05:23.0316089Z Found test times from artifacts 2025-12-04T09:05:23.0716188Z Found test times from artifacts 2025-12-04T09:05:23.0729065Z Running all tests 2025-12-04T09:05:23.0732156Z Running parallel tests on 3 processes 2025-12-04T09:05:23.0732554Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:05:23.0732948Z Serial tests (0): 2025-12-04T09:05:23.0733220Z Parallel tests (1): 2025-12-04T09:05:23.0733445Z lazy/test_ts_opinfo 1/1 2025-12-04T09:05:23.0733728Z Name: excluded (est. time: 0.0min) 2025-12-04T09:05:23.0734079Z Serial tests (0): 2025-12-04T09:05:23.0734298Z Parallel tests (0): 2025-12-04T09:05:23.0734643Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:05:23.073124][875.081808397] 2025-12-04T09:05:23.0735043Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:05:23.0739125Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:05:23.073526] 2025-12-04T09:05:27.6961355Z 2025-12-04T09:05:27.6962637Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_06d73e9f3dcfc32b_.log 2025-12-04T09:05:27.6963319Z Running 0 items in this shard: 2025-12-04T09:05:27.6963907Z 2025-12-04T09:05:27.6964158Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:05:27.695911][879.704595446], took 0.08min 2025-12-04T09:05:27.6968835Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-47b9eb74983b6130.xml 2025-12-04T09:05:28.1022771Z Uploading artifacts took 0.11 seconds 2025-12-04T09:05:31.4247004Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:05:31.424128][883.432810338] 2025-12-04T09:05:31.4247442Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:05:31.4249920Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:05:31.424592] 2025-12-04T09:05:36.1475729Z 2025-12-04T09:05:36.1476934Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_af72b64016f348da_.log 2025-12-04T09:05:36.1477892Z Running 0 items in this shard: 2025-12-04T09:05:36.1478141Z 2025-12-04T09:05:36.1478425Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:05:36.147372][888.15605226], took 0.08min 2025-12-04T09:05:36.1489967Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-2776ce26181dcedf.xml 2025-12-04T09:05:37.0600185Z Running test batch 'tests to run' cost 13.99 seconds 2025-12-04T09:05:37.7779214Z 2025-12-04T09:05:37.7779870Z real 0m19.870s 2025-12-04T09:05:37.7780160Z user 0m23.072s 2025-12-04T09:05:37.7780346Z sys 0m12.977s 2025-12-04T09:05:37.7780642Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE 2025-12-04T09:05:37.7781055Z + test_without_numpy 2025-12-04T09:05:37.7784574Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:05:37.7801752Z + pushd .ci/pytorch 2025-12-04T09:05:37.7802091Z ~/workspace/.ci/pytorch ~/workspace 2025-12-04T09:05:37.7803059Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');from unittest import TestCase;import torch;x=torch.randn(3,3);TestCase().assertRaises(RuntimeError, lambda: x.numpy())' 2025-12-04T09:05:38.5773860Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-12-04T09:05:38.5775098Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:05:39.3367559Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))' 2025-12-04T09:05:40.1300496Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-12-04T09:05:40.1301763Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:05:40.5851660Z tensor([0., 1.]) 2025-12-04T09:05:40.8913400Z + [[ slow == *dynamo_wrapped* ]] 2025-12-04T09:05:40.8914154Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx' 2025-12-04T09:05:41.6905199Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-12-04T09:05:41.6906447Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:05:42.4771321Z + popd 2025-12-04T09:05:42.4771540Z ~/workspace 2025-12-04T09:05:42.4771741Z + install_torchvision 2025-12-04T09:05:42.4772411Z + local orig_preload 2025-12-04T09:05:42.4772619Z + local commit 2025-12-04T09:05:42.4776513Z ++ get_pinned_commit vision 2025-12-04T09:05:42.4776902Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T09:05:42.4795117Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:05:42.4795455Z + orig_preload= 2025-12-04T09:05:42.4795759Z + '[' -n '' ']' 2025-12-04T09:05:42.4796418Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *cuda* ]] 2025-12-04T09:05:42.4796759Z + export FORCE_CUDA=1 2025-12-04T09:05:42.4796977Z + FORCE_CUDA=1 2025-12-04T09:05:42.4797173Z + export WITH_CUDA=1 2025-12-04T09:05:42.4797386Z + WITH_CUDA=1 2025-12-04T09:05:42.4797896Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T09:05:42.4798733Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:05:42.4799232Z + local wheel_dir=dist/vision 2025-12-04T09:05:42.4799467Z + local found_whl=0 2025-12-04T09:05:42.4799693Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:05:42.4799956Z + [[ -f dist/vision/*.whl ]] 2025-12-04T09:05:42.4800180Z + '[' 0 == 0 ']' 2025-12-04T09:05:42.4800790Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:05:42.8043516Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:05:42.8047817Z Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-6q6hfwvt 2025-12-04T09:05:42.8230829Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-6q6hfwvt 2025-12-04T09:05:44.4986356Z Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e' 2025-12-04T09:05:44.5013692Z Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:05:44.6186441Z Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:05:46.7376581Z Preparing metadata (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:05:46.7409073Z [?25hBuilding wheels for collected packages: torchvision 2025-12-04T09:07:03.0029733Z Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done 2025-12-04T09:07:03.0060207Z [?25h Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1786196 sha256=92c4947851f7a3eaea258ab654e8687ff6dfddeb255d5fa4c26525da3edbb354 2025-12-04T09:07:03.0063483Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac 2025-12-04T09:07:03.0097923Z Successfully built torchvision 2025-12-04T09:07:03.1239275Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:07:03.1239923Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:07:03.1240737Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl') 2025-12-04T09:07:03.1241281Z + local args 2025-12-04T09:07:03.1241664Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-12-04T09:07:03.1242114Z + for path in "${args[@]}" 2025-12-04T09:07:03.1242637Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl' 2025-12-04T09:07:03.1243496Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:07:03.1244318Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:07:03.4577003Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:07:03.4673257Z Installing collected packages: torchvision 2025-12-04T09:07:03.9377803Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T09:07:03.9750487Z + '[' -n '' ']' 2025-12-04T09:07:03.9751082Z + test_python_shard 1 2025-12-04T09:07:03.9751658Z + [[ -z 3 ]] 2025-12-04T09:07:03.9754081Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 1 3 --verbose --upload-artifacts-while-running 2025-12-04T09:07:09.1086395Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:07:09.1185486Z Found test times from artifacts 2025-12-04T09:07:09.1587950Z Found test times from artifacts 2025-12-04T09:07:09.1599592Z Running all tests 2025-12-04T09:07:09.2152550Z Running parallel tests on 3 processes 2025-12-04T09:07:09.2160583Z Name: tests to run (est. time: 62.47min) 2025-12-04T09:07:09.2160876Z Serial tests (48): 2025-12-04T09:07:09.2161241Z dynamo/test_fake_distributed 1/1 2025-12-04T09:07:09.2161650Z test_ci_sanity_check_fail 1/1 2025-12-04T09:07:09.2162000Z inductor/test_max_autotune 1/1 2025-12-04T09:07:09.2162371Z doctests 1/1 2025-12-04T09:07:09.2162658Z inductor/test_flex_attention 1/1 2025-12-04T09:07:09.2163019Z inductor/test_cutlass_backend 1/1 2025-12-04T09:07:09.2163391Z inductor/test_benchmark_fusion 1/1 2025-12-04T09:07:09.2163762Z inductor/test_distributed_patterns 1/1 2025-12-04T09:07:09.2164049Z test_sort_and_select 1/1 2025-12-04T09:07:09.2164306Z test_privateuseone_python_backend 1/1 2025-12-04T09:07:09.2164587Z test_cpp_api_parity 1/1 2025-12-04T09:07:09.2164828Z test_extension_utils 1/1 2025-12-04T09:07:09.2165057Z test_show_pickle 1/1 2025-12-04T09:07:09.2165270Z test_torch 1/1 2025-12-04T09:07:09.2165475Z test_tensorexpr 1/1 2025-12-04T09:07:09.2165686Z test_utils 1/1 2025-12-04T09:07:09.2165892Z test_namedtuple_return_api 1/1 2025-12-04T09:07:09.2166159Z test_fake_tensor 1/1 2025-12-04T09:07:09.2166395Z test_multiprocessing 1/1 2025-12-04T09:07:09.2166627Z test_fx 1/1 2025-12-04T09:07:09.2166837Z test_autograd_fallback 1/1 2025-12-04T09:07:09.2167080Z test_autocast 1/1 2025-12-04T09:07:09.2167296Z test_python_dispatch 1/1 2025-12-04T09:07:09.2167539Z test_jit_disabled 1/1 2025-12-04T09:07:09.2167794Z test_cpp_extensions_mtia_backend 1/1 2025-12-04T09:07:09.2168094Z functorch/test_memory_efficient_fusion 1/1 2025-12-04T09:07:09.2168405Z test_tensor_creation_ops 1/1 2025-12-04T09:07:09.2168683Z test_cpp_extensions_stream_and_event 1/1 2025-12-04T09:07:09.2168967Z test_dispatch 1/1 2025-12-04T09:07:09.2169187Z nn/test_convolution 1/1 2025-12-04T09:07:09.2169436Z test_cpp_extensions_jit 1/1 2025-12-04T09:07:09.2169673Z test_nn 1/1 2025-12-04T09:07:09.2169886Z test_multiprocessing_spawn 1/2 2025-12-04T09:07:09.2170160Z test_multiprocessing_spawn 2/2 2025-12-04T09:07:09.2170418Z nn/test_pooling 1/1 2025-12-04T09:07:09.2170647Z test_cuda_trace 1/1 2025-12-04T09:07:09.2170858Z test_native_mha 1/1 2025-12-04T09:07:09.2171087Z test_cuda_nvml_based_avail 1/1 2025-12-04T09:07:09.2171349Z test_mobile_optimizer 1/1 2025-12-04T09:07:09.2171586Z test_overrides 1/1 2025-12-04T09:07:09.2171811Z test_cuda_primary_ctx 1/1 2025-12-04T09:07:09.2172051Z test_reductions 1/1 2025-12-04T09:07:09.2172277Z test_spectral_ops 1/1 2025-12-04T09:07:09.2172535Z distributions/test_distributions 1/1 2025-12-04T09:07:09.2172823Z test_autoload_disable 1/1 2025-12-04T09:07:09.2173068Z test_autoload_enable 1/1 2025-12-04T09:07:09.2173324Z test_cpp_extensions_aot_ninja 1/1 2025-12-04T09:07:09.2173610Z test_cpp_extensions_aot_no_ninja 1/1 2025-12-04T09:07:09.2173880Z Parallel tests (70): 2025-12-04T09:07:09.2174127Z inductor/test_collective_autotuning 1/1 2025-12-04T09:07:09.2174425Z inductor/test_compiled_autograd 2/2 2025-12-04T09:07:09.2174722Z inductor/test_cpu_select_algorithm 1/1 2025-12-04T09:07:09.2175672Z inductor/test_halide 1/1 2025-12-04T09:07:09.2175915Z inductor/test_xpu_basic 1/1 2025-12-04T09:07:09.2176163Z inductor/test_mps_basic 1/1 2025-12-04T09:07:09.2176392Z xpu/test_gemm 1/1 2025-12-04T09:07:09.2176609Z test_dataloader 2/2 2025-12-04T09:07:09.2176838Z functorch/test_minifier 1/1 2025-12-04T09:07:09.2177248Z higher_order_ops/test_invoke_quant 1/1 2025-12-04T09:07:09.2177538Z torch_np/test_basic 1/1 2025-12-04T09:07:09.2177782Z test_jiterator 1/1 2025-12-04T09:07:09.2178000Z test_native_functions 1/1 2025-12-04T09:07:09.2178239Z test_typing 1/1 2025-12-04T09:07:09.2178474Z higher_order_ops/test_with_effects 1/1 2025-12-04T09:07:09.2178776Z higher_order_ops/test_invoke_subgraph 1/1 2025-12-04T09:07:09.2179061Z test_weak 1/1 2025-12-04T09:07:09.2179268Z test_decomp 1/16 2025-12-04T09:07:09.2179479Z test_decomp 4/16 2025-12-04T09:07:09.2179693Z test_decomp 9/16 2025-12-04T09:07:09.2179912Z test_decomp 10/16 2025-12-04T09:07:09.2180129Z test_decomp 13/16 2025-12-04T09:07:09.2180337Z test_hub 1/1 2025-12-04T09:07:09.2180549Z test_segment_reductions 1/1 2025-12-04T09:07:09.2180797Z test_type_hints 1/1 2025-12-04T09:07:09.2181053Z functorch/test_aot_joint_with_descriptors 1/1 2025-12-04T09:07:09.2181364Z test_nestedtensor 1/1 2025-12-04T09:07:09.2181602Z test_linalg 1/1 2025-12-04T09:07:09.2181831Z test_functionalization_of_rng_ops 1/1 2025-12-04T09:07:09.2182119Z test_fx_reinplace_pass 1/1 2025-12-04T09:07:09.2182377Z functorch/test_control_flow 1/1 2025-12-04T09:07:09.2182649Z test_cuda_expandable_segments 1/1 2025-12-04T09:07:09.2182911Z test_modules 1/2 2025-12-04T09:07:09.2183135Z optim/test_swa_utils 1/1 2025-12-04T09:07:09.2183373Z functorch/test_ops 2/2 2025-12-04T09:07:09.2183648Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 2025-12-04T09:07:09.2183983Z torch_np/numpy_tests/core/test_getlimits 1/1 2025-12-04T09:07:09.2184292Z torch_np/test_ndarray_methods 1/1 2025-12-04T09:07:09.2184554Z test_view_ops 1/1 2025-12-04T09:07:09.2184769Z test_type_info 1/1 2025-12-04T09:07:09.2185000Z functorch/test_aotdispatch 1/1 2025-12-04T09:07:09.2185283Z torch_np/numpy_tests/core/test_dlpack 1/1 2025-12-04T09:07:09.2185580Z test_scatter_gather_ops 1/1 2025-12-04T09:07:09.2185837Z test_cuda_multigpu 1/1 2025-12-04T09:07:09.2186071Z functorch/test_vmap 1/1 2025-12-04T09:07:09.2186351Z torch_np/numpy_tests/lib/test_index_tricks 1/1 2025-12-04T09:07:09.2186650Z test_jit_autocast 1/1 2025-12-04T09:07:09.2186875Z nn/test_embedding 1/1 2025-12-04T09:07:09.2187106Z test_unary_ufuncs 1/1 2025-12-04T09:07:09.2187349Z test_xnnpack_integration 1/1 2025-12-04T09:07:09.2187640Z torch_np/numpy_tests/core/test_numerictypes 1/1 2025-12-04T09:07:09.2187947Z test_function_schema 1/1 2025-12-04T09:07:09.2188192Z test_accelerator 1/1 2025-12-04T09:07:09.2188409Z nn/test_init 1/1 2025-12-04T09:07:09.2188674Z torch_np/numpy_tests/core/test_scalar_methods 1/1 2025-12-04T09:07:09.2189009Z torch_np/numpy_tests/fft/test_helper 1/1 2025-12-04T09:07:09.2189301Z torch_np/test_function_base 1/1 2025-12-04T09:07:09.2189562Z test_type_promotion 1/1 2025-12-04T09:07:09.2189817Z torch_np/test_scalars_0D_arrays 1/1 2025-12-04T09:07:09.2190101Z profiler/test_profiler_tree 1/1 2025-12-04T09:07:09.2190401Z torch_np/numpy_tests/lib/test_arraysetops 1/1 2025-12-04T09:07:09.2190696Z test_dlpack 1/1 2025-12-04T09:07:09.2190921Z profiler/test_torch_tidy 1/1 2025-12-04T09:07:09.2191173Z lazy/test_reuse_ir 1/1 2025-12-04T09:07:09.2191417Z torch_np/test_reductions 1/1 2025-12-04T09:07:09.2191706Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 2025-12-04T09:07:09.2192030Z torch_np/numpy_tests/lib/test_arraypad 1/1 2025-12-04T09:07:09.2192308Z test_prims 1/1 2025-12-04T09:07:09.2192540Z profiler/test_python_tracer 1/1 2025-12-04T09:07:09.2192953Z cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 2025-12-04T09:07:09.2193473Z Name: excluded (est. time: 0.0min) 2025-12-04T09:07:09.2193733Z Serial tests (0): 2025-12-04T09:07:09.2194054Z Parallel tests (0): 2025-12-04T09:07:09.2194430Z Running dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:07:09.218086][981.226770768] 2025-12-04T09:07:09.2194952Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:09.2196042Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:09.218508] 2025-12-04T09:07:12.7401499Z 2025-12-04T09:07:12.7402480Z 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_d477a8fb42f15011_.log 2025-12-04T09:07:12.7403247Z Running 0 items in this shard: 2025-12-04T09:07:12.7403417Z 2025-12-04T09:07:12.7403705Z Finished dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:07:12.739936][984.748619281], took 0.06min 2025-12-04T09:07:12.7412941Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-1466246a1ddb183f.xml 2025-12-04T09:07:13.0272055Z Uploading artifacts took 0.11 seconds 2025-12-04T09:07:13.0276702Z Running test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:07:13.027278][985.035960245] 2025-12-04T09:07:13.0277392Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:13.0280290Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ci_sanity_check_fail.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:13.027657] 2025-12-04T09:07:16.2488561Z Finished test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:07:16.248333][988.257006948], took 0.05min 2025-12-04T09:07:16.2498665Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-7947ea2619852068.xml 2025-12-04T09:07:16.3903075Z Uploading logs for 57116039068 to S3 2025-12-04T09:07:16.4191030Z Uploading artifacts took 0.15 seconds 2025-12-04T09:07:16.4191322Z test_ci_sanity_check_fail 1/1 failed! 2025-12-04T09:07:16.4196477Z Running inductor/test_max_autotune 1/1 ... [2025-12-04 09:07:16.419304][988.427987189] 2025-12-04T09:07:16.4196911Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:16.4200723Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_max_autotune.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:16.419687] 2025-12-04T09:07:25.4009079Z 2025-12-04T09:07:25.4010149Z inductor/test_max_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_max_autotune_1.1_6d199f689656c86d_.log 2025-12-04T09:07:25.4178348Z Running 450 items in this shard: test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_honor_sm_carveout_with_triton_tma_carveout0_op_scaled_mm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_contiguous_transform_addmm_float32_sizes2, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_contiguous_transform_mm_float32_sizes0, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_contiguous_transform_mm_float32_sizes1, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_contiguous_transform_mm_float32_sizes2, test/inductor/test_max_autotune.py::TestMaxAutotuneSubproc::test_benchmark_choice_in_subproc, test/inductor/test_max_autotune.py::TestMaxAutotuneSubproc::test_max_autotune_addmm_search_space_EXHAUSTIVE_dynamic_True, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, 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test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_bmm_out_dtype, test/inductor/test_max_autotune.py::TestMaxAutotune::test_honor_sm_carveout_with_triton_tma_carveout0_op_scaled_mm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_honor_sm_carveout_with_triton_tma_carveout0_op_scaled_mm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_honor_sm_carveout_with_triton_tma_carveout0_op_scaled_mm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_honor_sm_carveout_with_triton_tma_carveout0_op_scaled_mm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_honor_sm_carveout_with_triton_tma_carveout0_op_scaled_mm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_honor_sm_carveout_with_triton_tma_carveout0_op_scaled_mm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_honor_sm_carveout_with_triton_tma_carveout0_op_scaled_mm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_honor_sm_carveout_with_triton_tma_carveout0_op_scaled_mm, 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test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple 2025-12-04T09:07:25.4339856Z 2025-12-04T09:07:25.4340137Z Finished inductor/test_max_autotune 1/1 ... [2025-12-04 09:07:25.401706][997.410389383], took 0.15min 2025-12-04T09:07:25.4341113Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_max_autotune/inductor.test_max_autotune-1a64d68a76cbe627.xml 2025-12-04T09:07:25.4893237Z Running doctests 1/1 ... [2025-12-04 09:07:25.488905][997.497587826] 2025-12-04T09:07:26.1025446Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368. 2025-12-04T09:07:26.1026214Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:26.1026733Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:07:26.1027044Z 2025-12-04T09:07:26.1027248Z This function only works for a library with global namespace ("_"). 2025-12-04T09:07:26.1027538Z 2025-12-04T09:07:26.1027622Z Args: 2025-12-04T09:07:26.1027999Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:07:26.1028445Z to register a fallthrough. 2025-12-04T09:07:26.1028929Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:07:26.1029453Z the dispatch key that the library was created with. 2025-12-04T09:07:26.1030014Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:07:26.1030727Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:07:26.1031161Z 2025-12-04T09:07:26.1031246Z Example:: 2025-12-04T09:07:26.1031370Z 2025-12-04T09:07:26.1031480Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:07:26.1031785Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:07:26.1032114Z >>> # Handle all autocast ops generically 2025-12-04T09:07:26.1032396Z >>> # ... 2025-12-04T09:07:26.1032660Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:07:26.1032958Z 2025-12-04T09:07:26.1033600Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:07:26.1034337Z 2025-12-04T09:07:26.1034460Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:07:26.1034728Z ^ 2025-12-04T09:07:26.1170533Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958. 2025-12-04T09:07:26.1171334Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:26.1172038Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:07:26.1172330Z 2025-12-04T09:07:26.1172494Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:07:26.1172741Z 2025-12-04T09:07:26.1172949Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:07:26.1173565Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:07:26.1174059Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:07:26.1174474Z what the properties of the output Tensors are. 2025-12-04T09:07:26.1174696Z 2025-12-04T09:07:26.1174897Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:07:26.1175374Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:07:26.1175837Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:07:26.1176293Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:07:26.1176746Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:07:26.1177218Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:07:26.1177680Z (and may not directly access the storage or data of any input or 2025-12-04T09:07:26.1178028Z intermediate Tensors). 2025-12-04T09:07:26.1178188Z 2025-12-04T09:07:26.1178318Z This API may be used as a decorator (see examples). 2025-12-04T09:07:26.1178543Z 2025-12-04T09:07:26.1178672Z For a detailed guide on custom ops, please see 2025-12-04T09:07:26.1179091Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:07:26.1179395Z 2025-12-04T09:07:26.1179467Z Args: 2025-12-04T09:07:26.1179766Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:07:26.1180159Z func: Fake tensor implementation. 2025-12-04T09:07:26.1180520Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:07:26.1180956Z allow_override: Flag controlling if we want to override an 2025-12-04T09:07:26.1181366Z existing registered fake impl. This is by default off, 2025-12-04T09:07:26.1181764Z and will error you're trying to register a fake impl to 2025-12-04T09:07:26.1182173Z an operator that already has a fake impl. This also only 2025-12-04T09:07:26.1182567Z applies if the custom operator was not created via 2025-12-04T09:07:26.1182977Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:07:26.1183336Z impl is already allowed. 2025-12-04T09:07:26.1183534Z 2025-12-04T09:07:26.1183610Z Examples: 2025-12-04T09:07:26.1183807Z >>> import torch 2025-12-04T09:07:26.1184040Z >>> import numpy as np 2025-12-04T09:07:26.1184300Z >>> from torch import Tensor 2025-12-04T09:07:26.1184555Z >>> 2025-12-04T09:07:26.1184824Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:07:26.1185276Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:07:26.1185755Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:07:26.1186214Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:07:26.1186536Z >>> 2025-12-04T09:07:26.1186785Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:07:26.1187113Z >>> def _(x, weight, bias): 2025-12-04T09:07:26.1187367Z >>> assert x.dim() == 2 2025-12-04T09:07:26.1187621Z >>> assert weight.dim() == 2 2025-12-04T09:07:26.1187895Z >>> assert bias.dim() == 1 2025-12-04T09:07:26.1188182Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:07:26.1188491Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:07:26.1188891Z >>> assert x.device == weight.device 2025-12-04T09:07:26.1189158Z >>> 2025-12-04T09:07:26.1189353Z >>> return (x @ weight.t()) + bias 2025-12-04T09:07:26.1189611Z >>> 2025-12-04T09:07:26.1189865Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:07:26.1190271Z >>> x = torch.randn(2, 3) 2025-12-04T09:07:26.1190541Z >>> w = torch.randn(3, 3) 2025-12-04T09:07:26.1190800Z >>> b = torch.randn(3) 2025-12-04T09:07:26.1191115Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:07:26.1191422Z >>> 2025-12-04T09:07:26.1191613Z >>> assert y.shape == (2, 3) 2025-12-04T09:07:26.1191853Z >>> 2025-12-04T09:07:26.1192102Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:07:26.1192543Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:07:26.1192945Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:07:26.1193244Z >>> x_np = x.numpy(force=True) 2025-12-04T09:07:26.1193544Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:07:26.1193868Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:07:26.1194237Z >>> 2025-12-04T09:07:26.1194496Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:07:26.1194813Z >>> def _(x): 2025-12-04T09:07:26.1195075Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:07:26.1195429Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:07:26.1195792Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:07:26.1196135Z >>> # represents the data-dependent size. 2025-12-04T09:07:26.1196434Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:07:26.1196724Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:07:26.1196998Z >>> shape = [nnz, x.dim()] 2025-12-04T09:07:26.1197313Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:07:26.1197613Z >>> return result 2025-12-04T09:07:26.1197832Z >>> 2025-12-04T09:07:26.1198093Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:07:26.1198404Z >>> 2025-12-04T09:07:26.1198607Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:07:26.1199006Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:07:26.1199404Z >>> trace.print_readable() 2025-12-04T09:07:26.1199643Z >>> 2025-12-04T09:07:26.1199938Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:07:26.1200227Z 2025-12-04T09:07:26.1200293Z 2025-12-04T09:07:26.1200842Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:07:26.1201425Z 2025-12-04T09:07:26.1201492Z _._ = None 2025-12-04T09:07:26.1201661Z ^ 2025-12-04T09:07:26.1314994Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530. 2025-12-04T09:07:26.1315889Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:26.1316493Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:07:26.1316827Z 2025-12-04T09:07:26.1317070Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:07:26.1317554Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:07:26.1318020Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:07:26.1318460Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:07:26.1318923Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:07:26.1319509Z that calls into the original kernel for certain cases. 2025-12-04T09:07:26.1319748Z 2025-12-04T09:07:26.1319818Z Args: 2025-12-04T09:07:26.1320093Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:07:26.1320561Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:07:26.1321210Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:07:26.1321702Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:07:26.1321964Z 2025-12-04T09:07:26.1322040Z Returns: 2025-12-04T09:07:26.1322351Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:07:26.1322736Z call the kernel. 2025-12-04T09:07:26.1322890Z 2025-12-04T09:07:26.1322964Z Raises: 2025-12-04T09:07:26.1323188Z RuntimeError: If the operator does not exist. 2025-12-04T09:07:26.1323410Z 2025-12-04T09:07:26.1323487Z Example: 2025-12-04T09:07:26.1323698Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:07:26.1324066Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:07:26.1324390Z >>> 2025-12-04T09:07:26.1324598Z >>> # You can also use DispatchKey enum 2025-12-04T09:07:26.1325026Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:07:26.1325408Z >>> 2025-12-04T09:07:26.1325604Z >>> # Or use an OpOverload directly 2025-12-04T09:07:26.1325987Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:07:26.1326345Z >>> 2025-12-04T09:07:26.1326624Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:07:26.1327011Z >>> # Get the original kernel for torch.sin 2025-12-04T09:07:26.1327399Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:07:26.1327741Z >>> 2025-12-04T09:07:26.1328042Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:07:26.1328455Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:07:26.1328742Z >>> if (x < 0).any(): 2025-12-04T09:07:26.1329065Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:07:26.1329395Z >>> else: 2025-12-04T09:07:26.1329625Z >>> return torch.zeros_like(x) 2025-12-04T09:07:26.1329876Z >>> 2025-12-04T09:07:26.1330098Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:07:26.1330532Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:07:26.1331009Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:07:26.1331430Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:07:26.1331756Z >>> 2025-12-04T09:07:26.1331951Z >>> # Test the conditional behavior 2025-12-04T09:07:26.1332242Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:07:26.1332537Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:07:26.1332816Z >>> torch.sin(x_positive) 2025-12-04T09:07:26.1333057Z tensor([0., 0.]) 2025-12-04T09:07:26.1333281Z >>> torch.sin(x_mixed) 2025-12-04T09:07:26.1333522Z tensor([-0.8415, 0.9093]) 2025-12-04T09:07:26.1333742Z 2025-12-04T09:07:26.1334249Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:07:26.1334743Z 2025-12-04T09:07:26.1334905Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:07:26.1335220Z ^ 2025-12-04T09:07:26.4063066Z 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. 2025-12-04T09:07:26.4063849Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:26.4064561Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:07:26.4065066Z required drivers are available and at least one device is visible. 2025-12-04T09:07:26.4065477Z See :ref:`accelerator` for details. 2025-12-04T09:07:26.4065711Z 2025-12-04T09:07:26.4065901Z Returns: 2025-12-04T09:07:26.4066266Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:07:26.4066604Z 2025-12-04T09:07:26.4066823Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:07:26.4067361Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:07:26.4067903Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:07:26.4068350Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:07:26.4068578Z 2025-12-04T09:07:26.4068660Z Example:: 2025-12-04T09:07:26.4068785Z 2025-12-04T09:07:26.4069020Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:26.4069421Z 2025-12-04T09:07:26.4070000Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:07:26.4070560Z 2025-12-04T09:07:26.4070785Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:26.4071194Z ^ 2025-12-04T09:07:26.4095360Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T09:07:26.4096139Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:26.4096622Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:07:26.4096908Z 2025-12-04T09:07:26.4096983Z Args: 2025-12-04T09:07:26.4097363Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:07:26.4097928Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:07:26.4098398Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:07:26.4098670Z 2025-12-04T09:07:26.4098943Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:07:26.4099304Z 2025-12-04T09:07:26.4099390Z Example:: 2025-12-04T09:07:26.4099506Z 2025-12-04T09:07:26.4099638Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:07:26.4100084Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:26.4100589Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:07:26.4100926Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:07:26.4101231Z >>> start_event.record() 2025-12-04T09:07:26.4101611Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:07:26.4102013Z >>> sum = torch.sum(tensor) 2025-12-04T09:07:26.4102280Z >>> end_event.record() 2025-12-04T09:07:26.4102552Z >>> torch.accelerator.synchronize() 2025-12-04T09:07:26.4102906Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:07:26.4103226Z 2025-12-04T09:07:26.4103795Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:07:26.4104368Z 2025-12-04T09:07:26.4104593Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:26.4105009Z ^ 2025-12-04T09:07:26.4374214Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T09:07:26.4375098Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:26.4375509Z Retrieves the CUDA runtime API module. 2025-12-04T09:07:26.4375697Z 2025-12-04T09:07:26.4375701Z 2025-12-04T09:07:26.4376069Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:07:26.4376590Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:07:26.4377066Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:07:26.4377360Z 2025-12-04T09:07:26.4377429Z Args: 2025-12-04T09:07:26.4377603Z ``None`` 2025-12-04T09:07:26.4377722Z 2025-12-04T09:07:26.4377797Z Returns: 2025-12-04T09:07:26.4378027Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:07:26.4378250Z 2025-12-04T09:07:26.4378319Z Raises: 2025-12-04T09:07:26.4378624Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:07:26.4379231Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:07:26.4379637Z 2025-12-04T09:07:26.4379754Z Example of CUDA operations with profiling: 2025-12-04T09:07:26.4380040Z >>> import torch 2025-12-04T09:07:26.4380315Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:07:26.4380594Z >>> import os 2025-12-04T09:07:26.4380794Z >>> 2025-12-04T09:07:26.4381024Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:07:26.4381299Z >>> 2025-12-04T09:07:26.4381524Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:07:26.4381839Z >>> stream = torch.cuda.Stream() 2025-12-04T09:07:26.4382128Z >>> with torch.cuda.stream(stream): 2025-12-04T09:07:26.4382438Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:07:26.4382756Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:07:26.4383047Z >>> z = torch.mul(x, y) 2025-12-04T09:07:26.4383300Z >>> return z 2025-12-04T09:07:26.4383505Z >>> 2025-12-04T09:07:26.4383695Z >>> torch.cuda.synchronize() 2025-12-04T09:07:26.4383990Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:07:26.4384335Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:07:26.4384669Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:07:26.4385020Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:07:26.4385360Z >>> print("CUDA operations completed.") 2025-12-04T09:07:26.4385706Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:07:26.4386054Z >>> print("====== End nsys profiling ======") 2025-12-04T09:07:26.4386265Z 2025-12-04T09:07:26.4386438Z To run this example and save the profiling information, execute: 2025-12-04T09:07:26.4387024Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:07:26.4387425Z 2025-12-04T09:07:26.4387634Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:07:26.4388111Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:07:26.4388585Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:07:26.4389013Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:07:26.4389422Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:07:26.4389826Z CSV file and print a summary, respectively. 2025-12-04T09:07:26.4390255Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:07:26.4390730Z overwrite of the output file if it already exists. 2025-12-04T09:07:26.4391020Z 2025-12-04T09:07:26.4391667Z 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)) 2025-12-04T09:07:26.4392395Z 2025-12-04T09:07:26.4392702Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:07:26.4393159Z ^ 2025-12-04T09:07:27.7563724Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T09:07:27.7564786Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:27.7565138Z 2025-12-04T09:07:27.7565333Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:07:27.7565798Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:07:27.7566256Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:07:27.7566638Z vectorizing those operations. 2025-12-04T09:07:27.7566808Z 2025-12-04T09:07:27.7567005Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:07:27.7567466Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:07:27.7567914Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:07:27.7568340Z compute batched gradients when composed with autograd. 2025-12-04T09:07:27.7568584Z 2025-12-04T09:07:27.7568673Z .. note:: 2025-12-04T09:07:27.7568936Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:07:27.7569307Z convenience. Use whichever one you'd like. 2025-12-04T09:07:27.7569511Z 2025-12-04T09:07:27.7569591Z Args: 2025-12-04T09:07:27.7569881Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:07:27.7570250Z Must return one or more Tensors. 2025-12-04T09:07:27.7570619Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:07:27.7571042Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:07:27.7571460Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:07:27.7571880Z input is None, then that indicates there is no map dimension. 2025-12-04T09:07:27.7572211Z Default: 0. 2025-12-04T09:07:27.7572498Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:07:27.7572940Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:07:27.7573336Z it should have one element per output. Default: 0. 2025-12-04T09:07:27.7573726Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:07:27.7574156Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:07:27.7574608Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:07:27.7575059Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:07:27.7575524Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:07:27.7575981Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:07:27.7576368Z Python's random module or numpy randomness. 2025-12-04T09:07:27.7576773Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:07:27.7577251Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:07:27.7577757Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:07:27.7578305Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:07:27.7578630Z 2025-12-04T09:07:27.7578706Z Returns: 2025-12-04T09:07:27.7578965Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:07:27.7579379Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:07:27.7579801Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:07:27.7580352Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:07:27.7580696Z specified by ``out_dims``. 2025-12-04T09:07:27.7580858Z 2025-12-04T09:07:27.7580934Z .. warning: 2025-12-04T09:07:27.7581217Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:07:27.7581753Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:07:27.7582219Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:07:27.7582711Z Python data structures and assigning values to variables not captured 2025-12-04T09:07:27.7583069Z in ``func``. 2025-12-04T09:07:27.7583195Z 2025-12-04T09:07:27.7583395Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:07:27.7583881Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:07:27.7584345Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:07:27.7584642Z 2025-12-04T09:07:27.7584740Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:07:27.7585094Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:07:27.7585477Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:07:27.7585760Z >>> batched_dot(x, y) 2025-12-04T09:07:27.7585913Z 2025-12-04T09:07:27.7586115Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:07:27.7586501Z model authoring experience. 2025-12-04T09:07:27.7586659Z 2025-12-04T09:07:27.7586753Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:07:27.7587090Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:07:27.7587404Z >>> 2025-12-04T09:07:27.7587589Z >>> def model(feature_vec): 2025-12-04T09:07:27.7587855Z >>> # Very simple linear model with activation 2025-12-04T09:07:27.7588167Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:07:27.7588453Z >>> 2025-12-04T09:07:27.7588690Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:07:27.7589014Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:07:27.7589213Z 2025-12-04T09:07:27.7589426Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:07:27.7589945Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:07:27.7590432Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:07:27.7590970Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:07:27.7591477Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:07:27.7591992Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:07:27.7592371Z call to ``autograd.grad``. 2025-12-04T09:07:27.7592529Z 2025-12-04T09:07:27.7592598Z >>> # Setup 2025-12-04T09:07:27.7602014Z >>> N = 5 2025-12-04T09:07:27.7602294Z >>> f = lambda x: x**2 2025-12-04T09:07:27.7602678Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:07:27.7603087Z >>> y = f(x) 2025-12-04T09:07:27.7603367Z >>> I_N = torch.eye(N) 2025-12-04T09:07:27.7603658Z >>> 2025-12-04T09:07:27.7603925Z >>> # Sequential approach 2025-12-04T09:07:27.7604311Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:07:27.7604699Z >>> for v in I_N.unbind()] 2025-12-04T09:07:27.7605004Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:07:27.7605279Z >>> 2025-12-04T09:07:27.7605477Z >>> # vectorized gradient computation 2025-12-04T09:07:27.7605757Z >>> def get_vjp(v): 2025-12-04T09:07:27.7606014Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:07:27.7606320Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:07:27.7606523Z 2025-12-04T09:07:27.7606755Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:07:27.7607222Z 2025-12-04T09:07:27.7607318Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:07:27.7607592Z >>> batched_dot = torch.vmap( 2025-12-04T09:07:27.7607853Z ... torch.vmap(torch.dot) 2025-12-04T09:07:27.7608130Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:07:27.7608454Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:07:27.7608860Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:07:27.7609073Z 2025-12-04T09:07:27.7609279Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:07:27.7609722Z the dimension that each inputs are batched along as 2025-12-04T09:07:27.7609943Z 2025-12-04T09:07:27.7610034Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:07:27.7610387Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:07:27.7610779Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:07:27.7611051Z >>> batched_dot( 2025-12-04T09:07:27.7611254Z ... x, y 2025-12-04T09:07:27.7611540Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:07:27.7611810Z 2025-12-04T09:07:27.7612032Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:07:27.7612529Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:07:27.7612801Z 2025-12-04T09:07:27.7612892Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:07:27.7613580Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:07:27.7613991Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:07:27.7614265Z >>> batched_dot( 2025-12-04T09:07:27.7614470Z ... x, y 2025-12-04T09:07:27.7614755Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:07:27.7615017Z 2025-12-04T09:07:27.7615225Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:07:27.7615624Z matching the shape of the input: 2025-12-04T09:07:27.7615802Z 2025-12-04T09:07:27.7615925Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:07:27.7616248Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:07:27.7616525Z >>> input = {"x": x, "y": y} 2025-12-04T09:07:27.7616843Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:07:27.7617183Z >>> batched_dot(input) 2025-12-04T09:07:27.7617335Z 2025-12-04T09:07:27.7617574Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:07:27.7618012Z along any dimension by using ``out_dims`` 2025-12-04T09:07:27.7618211Z 2025-12-04T09:07:27.7618297Z >>> f = lambda x: x**2 2025-12-04T09:07:27.7618535Z >>> x = torch.randn(2, 5) 2025-12-04T09:07:27.7618799Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:07:27.7619091Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:07:27.7619252Z 2025-12-04T09:07:27.7619504Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:07:27.7619932Z accept kwargs 2025-12-04T09:07:27.7620047Z 2025-12-04T09:07:27.7620131Z >>> x = torch.randn([2, 5]) 2025-12-04T09:07:27.7620375Z >>> def fn(x, scale=4.): 2025-12-04T09:07:27.7620628Z >>> return x * scale 2025-12-04T09:07:27.7620860Z >>> 2025-12-04T09:07:27.7621048Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:07:27.7621343Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:07:27.7621744Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:07:27.7622040Z 2025-12-04T09:07:27.7622118Z .. note:: 2025-12-04T09:07:27.7622407Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:07:27.7622770Z sequences out of the box. 2025-12-04T09:07:27.7622935Z 2025-12-04T09:07:27.7623373Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:07:27.7624047Z 2025-12-04T09:07:27.7624119Z _._ = None 2025-12-04T09:07:27.7624290Z ^ 2025-12-04T09:07:27.7624807Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T09:07:27.7625608Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:27.7626120Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:07:27.7626592Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:07:27.7626949Z compute higher-order gradients. 2025-12-04T09:07:27.7627129Z 2025-12-04T09:07:27.7627198Z Args: 2025-12-04T09:07:27.7627487Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:07:27.7627991Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:07:27.7628534Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:07:27.7628952Z ``(output, aux)``. 2025-12-04T09:07:27.7629345Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:07:27.7629850Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:07:27.7630307Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:07:27.7630730Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:07:27.7630964Z 2025-12-04T09:07:27.7631040Z Returns: 2025-12-04T09:07:27.7631384Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:07:27.7631922Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:07:27.7632451Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:07:27.7632993Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:07:27.7633419Z respect to each ``argnums`` value is returned. 2025-12-04T09:07:27.7633638Z 2025-12-04T09:07:27.7633722Z Example of using ``grad``: 2025-12-04T09:07:27.7633880Z 2025-12-04T09:07:27.7633970Z >>> # xdoctest: +SKIP 2025-12-04T09:07:27.7634339Z >>> from torch.func import grad 2025-12-04T09:07:27.7634602Z >>> x = torch.randn([]) 2025-12-04T09:07:27.7634864Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:07:27.7635170Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:07:27.7635433Z >>> 2025-12-04T09:07:27.7635626Z >>> # Second-order gradients 2025-12-04T09:07:27.7635931Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:07:27.7636268Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:07:27.7636478Z 2025-12-04T09:07:27.7636695Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:07:27.7637010Z 2025-12-04T09:07:27.7637097Z >>> # xdoctest: +SKIP 2025-12-04T09:07:27.7637348Z >>> from torch.func import grad, vmap 2025-12-04T09:07:27.7637635Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:07:27.7637889Z >>> 2025-12-04T09:07:27.7638090Z >>> def model(weights, feature_vec): 2025-12-04T09:07:27.7638385Z >>> # Very simple linear model with activation 2025-12-04T09:07:27.7638687Z >>> assert feature_vec.dim() == 1 2025-12-04T09:07:27.7638987Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:07:27.7639247Z >>> 2025-12-04T09:07:27.7639467Z >>> def compute_loss(weights, example, target): 2025-12-04T09:07:27.7639768Z >>> y = model(weights, example) 2025-12-04T09:07:27.7640064Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:07:27.7640340Z >>> 2025-12-04T09:07:27.7640592Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:07:27.7641058Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:07:27.7641380Z >>> targets = torch.randn(batch_size) 2025-12-04T09:07:27.7641674Z >>> inputs = (weights, examples, targets) 2025-12-04T09:07:27.7642147Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:07:27.7642515Z ... *inputs 2025-12-04T09:07:27.7642714Z ... ) 2025-12-04T09:07:27.7642821Z 2025-12-04T09:07:27.7642983Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:07:27.7643227Z 2025-12-04T09:07:27.7643307Z >>> # xdoctest: +SKIP 2025-12-04T09:07:27.7643553Z >>> from torch.func import grad 2025-12-04T09:07:27.7643823Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:07:27.7644116Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:07:27.7644413Z >>> loss = loss_per_sample.mean() 2025-12-04T09:07:27.7644719Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:07:27.7644986Z >>> 2025-12-04T09:07:27.7645211Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:07:27.7645521Z >>> y_true = torch.rand(4) 2025-12-04T09:07:27.7645804Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:07:27.7646099Z >>> out = fn(y_true, y_preds) 2025-12-04T09:07:27.7646482Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:07:27.7646796Z 2025-12-04T09:07:27.7646868Z .. note:: 2025-12-04T09:07:27.7647127Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:07:27.7647367Z 2025-12-04T09:07:27.7647492Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:07:27.7647717Z 2025-12-04T09:07:27.7647802Z >>> # xdoctest: +SKIP 2025-12-04T09:07:27.7648042Z >>> def f(x): 2025-12-04T09:07:27.7648273Z >>> with torch.no_grad(): 2025-12-04T09:07:27.7648538Z >>> c = x ** 2 2025-12-04T09:07:27.7648782Z >>> return x - c 2025-12-04T09:07:27.7648939Z 2025-12-04T09:07:27.7649113Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:07:27.7649379Z 2025-12-04T09:07:27.7649544Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:07:27.7649807Z 2025-12-04T09:07:27.7649891Z >>> # xdoctest: +SKIP 2025-12-04T09:07:27.7650141Z >>> with torch.no_grad(): 2025-12-04T09:07:27.7650385Z >>> grad(f)(x) 2025-12-04T09:07:27.7650538Z 2025-12-04T09:07:27.7650726Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:07:27.7651200Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:07:27.7651672Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:07:27.7651959Z 2025-12-04T09:07:27.7652023Z 2025-12-04T09:07:27.7652557Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:07:27.7653082Z 2025-12-04T09:07:27.7653156Z _._ = None 2025-12-04T09:07:27.7653322Z ^ 2025-12-04T09:07:30.5753608Z 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. 2025-12-04T09:07:30.5755841Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:30.5756779Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:07:30.5757282Z 2025-12-04T09:07:30.5757708Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:07:30.5758339Z 2025-12-04T09:07:30.5758720Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:07:30.5759681Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:07:30.5761045Z Given some input Tensors with certain properties 2025-12-04T09:07:30.5761759Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:07:30.5762196Z the output Tensors are. 2025-12-04T09:07:30.5762360Z 2025-12-04T09:07:30.5762687Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:07:30.5762966Z 2025-12-04T09:07:30.5763042Z Args: 2025-12-04T09:07:30.5763317Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:07:30.5763654Z implementation. 2025-12-04T09:07:30.5763816Z 2025-12-04T09:07:30.5763895Z Examples: 2025-12-04T09:07:30.5764107Z >>> import torch 2025-12-04T09:07:30.5764354Z >>> import numpy as np 2025-12-04T09:07:30.5764639Z >>> from torch import Tensor 2025-12-04T09:07:30.5764895Z >>> 2025-12-04T09:07:30.5765194Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:07:30.5765646Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:07:30.5766077Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:07:30.5766451Z >>> return (x @ weight.t()) + bias 2025-12-04T09:07:30.5766730Z >>> 2025-12-04T09:07:30.5766949Z >>> @linear.register_fake 2025-12-04T09:07:30.5767217Z >>> def _(x, weight, bias): 2025-12-04T09:07:30.5767492Z >>> assert x.dim() == 2 2025-12-04T09:07:30.5767776Z >>> assert weight.dim() == 2 2025-12-04T09:07:30.5768057Z >>> assert bias.dim() == 1 2025-12-04T09:07:30.5768366Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:07:30.5768696Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:07:30.5769017Z >>> assert x.device == weight.device 2025-12-04T09:07:30.5769358Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:07:30.5769660Z >>> 2025-12-04T09:07:30.5769866Z >>> x = torch.randn(2, 2) 2025-12-04T09:07:30.5770148Z >>> weight = torch.randn(2, 2) 2025-12-04T09:07:30.5770426Z >>> bias = torch.randn(2) 2025-12-04T09:07:30.5770727Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:30.5771105Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:07:30.5771491Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:30.5771973Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:07:30.5772357Z >>> 2025-12-04T09:07:30.5772634Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:07:30.5773062Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:07:30.5773447Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:07:30.5773738Z >>> x_np = x.cpu().numpy() 2025-12-04T09:07:30.5774041Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:07:30.5774374Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:07:30.5774654Z >>> 2025-12-04T09:07:30.5774877Z >>> @nonzero.register_fake 2025-12-04T09:07:30.5775145Z >>> def _(x): 2025-12-04T09:07:30.5775420Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:07:30.5775796Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:07:30.5776176Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:07:30.5776527Z >>> # represents the data-dependent size. 2025-12-04T09:07:30.5776836Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:07:30.5777142Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:07:30.5777523Z >>> shape = [nnz, x.dim()] 2025-12-04T09:07:30.5777837Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:07:30.5778150Z >>> return result 2025-12-04T09:07:30.5778388Z >>> 2025-12-04T09:07:30.5778609Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:07:30.5779003Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:30.5779351Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:07:30.5779697Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:30.5780022Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:07:30.5780236Z 2025-12-04T09:07:30.5780312Z 2025-12-04T09:07:30.5780864Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:07:30.5781410Z 2025-12-04T09:07:30.5781499Z _._ = None 2025-12-04T09:07:30.5781705Z ^ 2025-12-04T09:07:30.5952825Z 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. 2025-12-04T09:07:30.5953883Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:07:30.5954269Z 2025-12-04T09:07:30.5954487Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:07:30.5954985Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:07:30.5955298Z 2025-12-04T09:07:30.5955481Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:07:30.5955960Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:07:30.5956421Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:07:30.5956888Z information we will match a given input to the recorded profile, and return 2025-12-04T09:07:30.5957386Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:07:30.5957793Z doesn't exist then an exception will be thrown. 2025-12-04T09:07:30.5958004Z 2025-12-04T09:07:30.5958202Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:07:30.5958692Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:07:30.5959198Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:07:30.5959721Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:07:30.5960233Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:07:30.5960722Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:07:30.5961195Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:07:30.5961552Z potentially unsafe. 2025-12-04T09:07:30.5961688Z 2025-12-04T09:07:30.5961756Z Args: 2025-12-04T09:07:30.5962050Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:07:30.5962500Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:07:30.5962836Z kernels. 2025-12-04T09:07:30.5962960Z 2025-12-04T09:07:30.5963032Z Examples: 2025-12-04T09:07:30.5963135Z 2025-12-04T09:07:30.5963293Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:07:30.5963603Z >>> import torch 2025-12-04T09:07:30.5963878Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:07:30.5964180Z >>> 2025-12-04T09:07:30.5964436Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:07:30.5964796Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:07:30.5965074Z >>> return x + y 2025-12-04T09:07:30.5965279Z >>> 2025-12-04T09:07:30.5965469Z >>> class M(torch.nn.Module): 2025-12-04T09:07:30.5965729Z >>> def forward(self, a, b): 2025-12-04T09:07:30.5966199Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:07:30.5966495Z >>> return res 2025-12-04T09:07:30.5966708Z >>> 2025-12-04T09:07:30.5966954Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:07:30.5967259Z >>> 2025-12-04T09:07:30.5967724Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:07:30.5968188Z >>> decomp = ep.run_decompositions() 2025-12-04T09:07:30.5968381Z 2025-12-04T09:07:30.5968392Z 2025-12-04T09:07:30.5968793Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:07:30.5969286Z 2025-12-04T09:07:31.0924107Z 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. 2025-12-04T09:07:31.0925225Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:31.0925558Z 2025-12-04T09:07:31.0925787Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:07:31.0926313Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:07:31.0926831Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:07:31.0927215Z input by the user. 2025-12-04T09:07:31.0927546Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:07:31.0927972Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:07:31.0928201Z 2025-12-04T09:07:31.0928279Z Note:: 2025-12-04T09:07:31.0928659Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:07:31.0929036Z 2025-12-04T09:07:31.0929105Z Args: 2025-12-04T09:07:31.0929287Z model (nn.Module): 2025-12-04T09:07:31.0929612Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:07:31.0930124Z sparsified should be added separately using the register_layer() function 2025-12-04T09:07:31.0930528Z aggregate_fn (Optional, Callable): 2025-12-04T09:07:31.0930932Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:07:31.0931446Z specifies how inputs should be aggregated over time. 2025-12-04T09:07:31.0931942Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:07:31.0932359Z Example 2025-12-04T09:07:31.0932631Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:07:31.0932981Z reduce_fn (Optional, Callable): 2025-12-04T09:07:31.0933386Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:07:31.0933909Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:07:31.0934334Z calling agg_fn() on all inputs. 2025-12-04T09:07:31.0934608Z Example 2025-12-04T09:07:31.0934911Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:07:31.0935280Z mask_fn (Optional, Callable): 2025-12-04T09:07:31.0935738Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:07:31.0936323Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:07:31.0936726Z register_layer(). 2025-12-04T09:07:31.0937195Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:07:31.0937670Z arguments. 2025-12-04T09:07:31.0937909Z features (Optional, list): 2025-12-04T09:07:31.0938207Z default selected features to sparsify. 2025-12-04T09:07:31.0938646Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:07:31.0939215Z For example, 2025-12-04T09:07:31.0939586Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:07:31.0940000Z feature_dim (Optional, int): 2025-12-04T09:07:31.0940532Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:07:31.0940958Z for sparsification. 2025-12-04T09:07:31.0941225Z sparse_config (Dict): 2025-12-04T09:07:31.0941588Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:07:31.0941962Z with the mask_fn() 2025-12-04T09:07:31.0942130Z 2025-12-04T09:07:31.0942203Z Example: 2025-12-04T09:07:31.0942395Z >>> # xdoctest: +SKIP 2025-12-04T09:07:31.0942627Z >>> model = SomeModel() 2025-12-04T09:07:31.0942989Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:07:31.0943398Z >>> # Initialize aggregate_fn 2025-12-04T09:07:31.0943651Z >>> def agg_fn(x, y): 2025-12-04T09:07:31.0943867Z >>> return x + y 2025-12-04T09:07:31.0944079Z >>> 2025-12-04T09:07:31.0944267Z >>> # Initialize reduce_fn 2025-12-04T09:07:31.0944502Z >>> def reduce_fn(x): 2025-12-04T09:07:31.0944749Z >>> return torch.mean(x, dim=0) 2025-12-04T09:07:31.0945004Z >>> 2025-12-04T09:07:31.0945179Z >>> # Initialize mask_fn 2025-12-04T09:07:31.0945416Z >>> def mask_fn(data): 2025-12-04T09:07:31.0945689Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:07:31.0945980Z >>> 2025-12-04T09:07:31.0946141Z >>> 2025-12-04T09:07:31.0946341Z >>> act_sparsifier.register_layer( 2025-12-04T09:07:31.0946615Z ... model.some_layer, 2025-12-04T09:07:31.0946857Z ... aggregate_fn=agg_fn, 2025-12-04T09:07:31.0947106Z ... reduce_fn=reduce_fn, 2025-12-04T09:07:31.0947355Z ... mask_fn=mask_fn, 2025-12-04T09:07:31.0947568Z ... ) 2025-12-04T09:07:31.0947736Z >>> 2025-12-04T09:07:31.0947921Z >>> # start training process 2025-12-04T09:07:31.0948153Z >>> for _ in [...]: 2025-12-04T09:07:31.0948364Z >>> # epoch starts 2025-12-04T09:07:31.0948649Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:07:31.0948969Z >>> # epoch ends 2025-12-04T09:07:31.0949191Z >>> act_sparsifier.step() 2025-12-04T09:07:31.0949451Z >>> # end training process 2025-12-04T09:07:31.0949696Z >>> sparsifier.squash_mask() 2025-12-04T09:07:31.0949870Z 2025-12-04T09:07:31.0950299Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:07:31.0950818Z 2025-12-04T09:07:31.0950888Z _._ = None 2025-12-04T09:07:31.0951062Z ^ 2025-12-04T09:07:31.6997259Z 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. 2025-12-04T09:07:31.6998257Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:31.6998571Z 2025-12-04T09:07:31.6998808Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:07:31.6999383Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:07:31.6999780Z ``mesh_dim_names`` 2025-12-04T09:07:31.6999913Z 2025-12-04T09:07:31.6999980Z Args: 2025-12-04T09:07:31.7000282Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:07:31.7000746Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:07:31.7001064Z Returns: 2025-12-04T09:07:31.7001263Z A :class:`DeviceMesh` object 2025-12-04T09:07:31.7001454Z 2025-12-04T09:07:31.7001725Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:07:31.7002339Z In the first example: 2025-12-04T09:07:31.7002701Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:07:31.7003228Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:07:31.7003734Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:07:31.7004316Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:07:31.7004801Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:07:31.7005277Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:07:31.7005562Z 2025-12-04T09:07:31.7005650Z In the second example: 2025-12-04T09:07:31.7006016Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:07:31.7006561Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:07:31.7015490Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:07:31.7016173Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:07:31.7016571Z 2025-12-04T09:07:31.7016674Z Example:: 2025-12-04T09:07:31.7016787Z 2025-12-04T09:07:31.7016881Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:07:31.7017221Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:07:31.7017551Z >>> 2025-12-04T09:07:31.7017830Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:07:31.7018242Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:07:31.7018691Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:07:31.7019108Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:07:31.7019366Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:07:31.7019602Z >>> 2025-12-04T09:07:31.7019797Z >>> # Initialize a 3D mesh. 2025-12-04T09:07:31.7020196Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:07:31.7020795Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:07:31.7021262Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:07:31.7021545Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:07:31.7021742Z 2025-12-04T09:07:31.7022312Z 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)) 2025-12-04T09:07:31.7022976Z 2025-12-04T09:07:31.7023191Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:07:31.7023620Z ^ 2025-12-04T09:07:32.1402704Z 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. 2025-12-04T09:07:32.1403871Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:32.1404197Z 2025-12-04T09:07:32.1404457Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:07:32.1404813Z 2025-12-04T09:07:32.1405069Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:07:32.1405422Z 2025-12-04T09:07:32.1405745Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:07:32.1406394Z will be visible to the whole process. 2025-12-04T09:07:32.1406662Z 2025-12-04T09:07:32.1406994Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:07:32.1407469Z 2025-12-04T09:07:32.1407584Z 1) set_up_planner - called on all ranks. 2025-12-04T09:07:32.1408074Z Signals the start of a checkpoint save. 2025-12-04T09:07:32.1408275Z 2025-12-04T09:07:32.1408387Z 2) create_local_plan - called on all ranks. 2025-12-04T09:07:32.1408837Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:07:32.1409189Z 2025-12-04T09:07:32.1409468Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:07:32.1409909Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:07:32.1410177Z 2025-12-04T09:07:32.1410279Z 4) finish_plan - called on all ranks. 2025-12-04T09:07:32.1410658Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:07:32.1410943Z 2025-12-04T09:07:32.1411090Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:07:32.1411503Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:07:32.1411780Z 2025-12-04T09:07:32.1412042Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:07:32.1412578Z most changes can be expressed by changes in a single method. 2025-12-04T09:07:32.1412833Z 2025-12-04T09:07:32.1412955Z There are 3 usual patterns of extension: 2025-12-04T09:07:32.1413354Z 2025-12-04T09:07:32.1413586Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:07:32.1414111Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:07:32.1414411Z 2025-12-04T09:07:32.1414515Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:32.1414833Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:07:32.1415132Z >>> def set_up_planner( 2025-12-04T09:07:32.1415371Z >>> self, 2025-12-04T09:07:32.1415596Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:07:32.1415890Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:07:32.1416191Z >>> is_coordinator: bool, 2025-12-04T09:07:32.1416456Z >>> ) -> None: 2025-12-04T09:07:32.1416679Z >>> # prefix all keys with `foo_`` 2025-12-04T09:07:32.1417116Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:07:32.1417466Z 2025-12-04T09:07:32.1417750Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:07:32.1418133Z 2025-12-04T09:07:32.1418245Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:32.1418545Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:07:32.1418849Z >>> def create_local_plan(self): 2025-12-04T09:07:32.1419139Z >>> plan = super().create_local_plan() 2025-12-04T09:07:32.1419422Z >>> for p in plan: 2025-12-04T09:07:32.1419684Z >>> if p.tensor_data is not None: 2025-12-04T09:07:32.1420029Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:07:32.1420354Z >>> return plan 2025-12-04T09:07:32.1420565Z >>> 2025-12-04T09:07:32.1420775Z >>> def resolve_data(self, write_item): 2025-12-04T09:07:32.1421083Z >>> item = super().resolve_data(write_item) 2025-12-04T09:07:32.1421586Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:07:32.1422052Z 2025-12-04T09:07:32.1422358Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:07:32.1422757Z 2025-12-04T09:07:32.1422865Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:32.1423167Z >>> from itertools import zip_longest 2025-12-04T09:07:32.1423454Z >>> from dataclasses import replace 2025-12-04T09:07:32.1423800Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:07:32.1424463Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:07:32.1425092Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:07:32.1425517Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:07:32.1426078Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:07:32.1426404Z >>> items_per_rank = [ 2025-12-04T09:07:32.1426684Z >>> [item for item in items if item is not None] 2025-12-04T09:07:32.1427042Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:07:32.1427362Z >>> ] 2025-12-04T09:07:32.1427689Z >>> all_plans = [ 2025-12-04T09:07:32.1427941Z >>> replace(plan, items=items) 2025-12-04T09:07:32.1428300Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:07:32.1428642Z >>> ] 2025-12-04T09:07:32.1428879Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:07:32.1429103Z 2025-12-04T09:07:32.1429331Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:07:32.1429895Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:07:32.1430339Z the global planner aggregate them: 2025-12-04T09:07:32.1430520Z 2025-12-04T09:07:32.1430620Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:32.1430954Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:07:32.1431303Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:07:32.1431613Z >>> plan = super().create_local_plan() 2025-12-04T09:07:32.1431965Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:07:32.1432280Z >>> 2025-12-04T09:07:32.1432634Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:07:32.1433172Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:07:32.1433580Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:07:32.1433961Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:07:32.1434393Z >>> return global_plan, metadata 2025-12-04T09:07:32.1434581Z 2025-12-04T09:07:32.1435037Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:07:32.1435570Z 2025-12-04T09:07:32.1435655Z _._ = None 2025-12-04T09:07:32.1435835Z ^ 2025-12-04T09:07:32.1436440Z 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. 2025-12-04T09:07:32.1437248Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:32.1437557Z 2025-12-04T09:07:32.1437800Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:07:32.1438151Z 2025-12-04T09:07:32.1438394Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:07:32.1438742Z 2025-12-04T09:07:32.1438981Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:07:32.1439426Z will be visible to the whole process. 2025-12-04T09:07:32.1439611Z 2025-12-04T09:07:32.1439845Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:07:32.1440183Z 2025-12-04T09:07:32.1440289Z 1) set_up_planner - called on all ranks. 2025-12-04T09:07:32.1440599Z Signals the start of loading a checkpoint. 2025-12-04T09:07:32.1440802Z 2025-12-04T09:07:32.1440921Z 2) create_local_plan - called on all ranks. 2025-12-04T09:07:32.1441361Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:07:32.1441707Z 2025-12-04T09:07:32.1441869Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:07:32.1442297Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:07:32.1442561Z 2025-12-04T09:07:32.1442694Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:07:32.1443058Z This is called once per non-tensor value in state_dict. 2025-12-04T09:07:32.1443397Z 2025-12-04T09:07:32.1443590Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:07:32.1444039Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:07:32.1444291Z 2025-12-04T09:07:32.1444548Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:07:32.1445169Z most changes can be expressed by changes in a single method. 2025-12-04T09:07:32.1445428Z 2025-12-04T09:07:32.1445543Z There are two usual patterns of extension: 2025-12-04T09:07:32.1445743Z 2025-12-04T09:07:32.1445964Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:07:32.1446494Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:07:32.1447010Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:07:32.1447411Z we need to be able to perform it in place 2025-12-04T09:07:32.1447610Z 2025-12-04T09:07:32.1447724Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:32.1448031Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:07:32.1448345Z >>> def set_up_planner( 2025-12-04T09:07:32.1448580Z >>> self, 2025-12-04T09:07:32.1448799Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:07:32.1449082Z >>> metadata: Metadata, 2025-12-04T09:07:32.1449346Z >>> is_coordinator: bool, 2025-12-04T09:07:32.1449598Z >>> ) -> None: 2025-12-04T09:07:32.1449830Z >>> self.original_state_dict = state_dict 2025-12-04T09:07:32.1450187Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:07:32.1450515Z >>> 2025-12-04T09:07:32.1450717Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:07:32.1451048Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:07:32.1451357Z >>> 2025-12-04T09:07:32.1451549Z >>> if self.flatten_state_dict: 2025-12-04T09:07:32.1451902Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:07:32.1452241Z >>> 2025-12-04T09:07:32.1452432Z >>> self.state_dict = state_dict 2025-12-04T09:07:32.1452716Z >>> self.metadata = metadata 2025-12-04T09:07:32.1453006Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:07:32.1453275Z >>> 2025-12-04T09:07:32.1453482Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:07:32.1453776Z >>> # Remove the "foo_" prefix 2025-12-04T09:07:32.1454212Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:07:32.1454579Z 2025-12-04T09:07:32.1454583Z 2025-12-04T09:07:32.1454803Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:07:32.1455128Z 2025-12-04T09:07:32.1455231Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:32.1455562Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:07:32.1455901Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:07:32.1456209Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:07:32.1456546Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:07:32.1456841Z >>> 2025-12-04T09:07:32.1457049Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:07:32.1457396Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:07:32.1457626Z 2025-12-04T09:07:32.1458088Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:07:32.1458625Z 2025-12-04T09:07:32.1458709Z _._ = None 2025-12-04T09:07:32.1458887Z ^ 2025-12-04T09:07:32.4900229Z 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. 2025-12-04T09:07:32.4902023Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:32.4902522Z 2025-12-04T09:07:32.4902711Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:07:32.4903333Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:07:32.4903780Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:07:32.4904241Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:07:32.4904808Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:07:32.4905156Z follows: 2025-12-04T09:07:32.4905271Z 2025-12-04T09:07:32.4905388Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:07:32.4905806Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:07:32.4906221Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:07:32.4906608Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:07:32.4907077Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:07:32.4907472Z >>> state = fsdp.state_dict() 2025-12-04T09:07:32.4907840Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:07:32.4908336Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:07:32.4908844Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:07:32.4909244Z >>> if dist.get_rank() == 0: 2025-12-04T09:07:32.4909581Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:07:32.4909967Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:07:32.4910287Z >>> model.load_state_dict(state_dict) 2025-12-04T09:07:32.4910692Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:07:32.4911204Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:07:32.4911611Z >>> fsdp = FSDP( 2025-12-04T09:07:32.4911855Z ... model, 2025-12-04T09:07:32.4912103Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:07:32.4912416Z ... auto_wrap_policy=..., 2025-12-04T09:07:32.4912682Z ... sync_module_states=True, 2025-12-04T09:07:32.4912938Z ... ) 2025-12-04T09:07:32.4913423Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:07:32.4913710Z 2025-12-04T09:07:32.4913792Z Attributes: 2025-12-04T09:07:32.4914154Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:07:32.4914608Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:07:32.4915020Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:07:32.4915256Z 2025-12-04T09:07:32.4915679Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:07:32.4916196Z 2025-12-04T09:07:32.4916274Z _._ = None 2025-12-04T09:07:32.4916458Z ^ 2025-12-04T09:07:34.5454504Z 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. 2025-12-04T09:07:34.5455601Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:34.5456048Z Register a parametrization to a tensor in a module. 2025-12-04T09:07:34.5456277Z 2025-12-04T09:07:34.5456533Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:07:34.5457103Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:07:34.5457669Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:07:34.5458246Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:07:34.5458593Z 2025-12-04T09:07:34.5458865Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:07:34.5459651Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:07:34.5459967Z 2025-12-04T09:07:34.5460186Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:07:34.5460611Z ``module.parametrizations.weight``. 2025-12-04T09:07:34.5460812Z 2025-12-04T09:07:34.5461047Z The original tensor will be accessible under 2025-12-04T09:07:34.5461391Z ``module.parametrizations.weight.original``. 2025-12-04T09:07:34.5461620Z 2025-12-04T09:07:34.5461842Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:07:34.5462255Z on the same attribute. 2025-12-04T09:07:34.5462405Z 2025-12-04T09:07:34.5462616Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:07:34.5463029Z to match the training mode of the host module 2025-12-04T09:07:34.5463241Z 2025-12-04T09:07:34.5463498Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:07:34.5463971Z using the context manager :func:`cached`. 2025-12-04T09:07:34.5464164Z 2025-12-04T09:07:34.5464370Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:07:34.5464678Z 2025-12-04T09:07:34.5464783Z .. code-block:: python 2025-12-04T09:07:34.5464938Z 2025-12-04T09:07:34.5465131Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:07:34.5465414Z 2025-12-04T09:07:34.5465643Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:07:34.5466139Z is registered to compute the initial value of the original tensor. 2025-12-04T09:07:34.5466675Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:07:34.5467038Z 2025-12-04T09:07:34.5467304Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:07:34.5467911Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:07:34.5468257Z 2025-12-04T09:07:34.5468452Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:07:34.5468950Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:07:34.5469459Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:07:34.5469756Z 2025-12-04T09:07:34.5470046Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:07:34.5470534Z with names ``original0``, ``original1``,... 2025-12-04T09:07:34.5470742Z 2025-12-04T09:07:34.5470814Z .. note:: 2025-12-04T09:07:34.5470924Z 2025-12-04T09:07:34.5471158Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:07:34.5471612Z once to perform a number of consistency checks. 2025-12-04T09:07:34.5472055Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:07:34.5472488Z and nothing will be called otherwise. 2025-12-04T09:07:34.5472680Z 2025-12-04T09:07:34.5472929Z .. note:: 2025-12-04T09:07:34.5473040Z 2025-12-04T09:07:34.5473216Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:07:34.5473597Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:07:34.5474044Z `right inverse `_). 2025-12-04T09:07:34.5474709Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:07:34.5475104Z to relax this. 2025-12-04T09:07:34.5475245Z 2025-12-04T09:07:34.5475319Z .. warning:: 2025-12-04T09:07:34.5475437Z 2025-12-04T09:07:34.5475683Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:07:34.5476237Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:07:34.5476880Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:07:34.5477385Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:07:34.5477650Z 2025-12-04T09:07:34.5477725Z Args: 2025-12-04T09:07:34.5478100Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:07:34.5478613Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:07:34.5478983Z the parametrization 2025-12-04T09:07:34.5479325Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:07:34.5479664Z Keyword args: 2025-12-04T09:07:34.5479978Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:07:34.5480428Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:07:34.5480914Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:07:34.5481351Z Enable this flag at your own risk. 2025-12-04T09:07:34.5481542Z 2025-12-04T09:07:34.5481616Z Raises: 2025-12-04T09:07:34.5481959Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:07:34.5482304Z 2025-12-04T09:07:34.5482387Z Examples: 2025-12-04T09:07:34.5482630Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:07:34.5482925Z >>> import torch 2025-12-04T09:07:34.5483166Z >>> import torch.nn as nn 2025-12-04T09:07:34.5483453Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:07:34.5483728Z >>> 2025-12-04T09:07:34.5483921Z >>> class Symmetric(nn.Module): 2025-12-04T09:07:34.5484190Z >>> def forward(self, X): 2025-12-04T09:07:34.5484511Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:07:34.5484830Z >>> 2025-12-04T09:07:34.5485032Z >>> def right_inverse(self, A): 2025-12-04T09:07:34.5485299Z >>> return A.triu() 2025-12-04T09:07:34.5485530Z >>> 2025-12-04T09:07:34.5485712Z >>> m = nn.Linear(5, 5) 2025-12-04T09:07:34.5486013Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:07:34.5486462Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:07:34.5486835Z True 2025-12-04T09:07:34.5487030Z >>> A = torch.rand(5, 5) 2025-12-04T09:07:34.5487279Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:07:34.5487638Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:07:34.5488014Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:07:34.5488282Z True 2025-12-04T09:07:34.5488388Z 2025-12-04T09:07:34.5488479Z >>> class RankOne(nn.Module): 2025-12-04T09:07:34.5488743Z >>> def forward(self, x, y): 2025-12-04T09:07:34.5489051Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:07:34.5489381Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:07:34.5489658Z >>> 2025-12-04T09:07:34.5489853Z >>> def right_inverse(self, Z): 2025-12-04T09:07:34.5490132Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:07:34.5490466Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:07:34.5490798Z >>> # Return rescaled singular vectors 2025-12-04T09:07:34.5491092Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:07:34.5491413Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:07:34.5491705Z >>> 2025-12-04T09:07:34.5491939Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:07:34.5492263Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:07:34.5492529Z ... ) 2025-12-04T09:07:34.5492816Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:07:34.5493242Z 1 2025-12-04T09:07:34.5493350Z 2025-12-04T09:07:34.5493414Z 2025-12-04T09:07:34.5493957Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:07:34.5494488Z 2025-12-04T09:07:34.5494666Z _._ = None 2025-12-04T09:07:34.5494830Z ^ 2025-12-04T09:07:34.6525941Z 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. 2025-12-04T09:07:34.6526946Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:34.6527414Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:07:34.6527671Z 2025-12-04T09:07:34.6527850Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:07:34.6528279Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:07:34.6528706Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:07:34.6529074Z of epochs, the learning rate is reduced. 2025-12-04T09:07:34.6529274Z 2025-12-04T09:07:34.6529344Z Args: 2025-12-04T09:07:34.6529561Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:07:34.6529908Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:07:34.6530275Z be reduced when the quantity monitored has stopped 2025-12-04T09:07:34.6530651Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:07:34.6531052Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:07:34.6531467Z factor (float): Factor by which the learning rate will be 2025-12-04T09:07:34.6531834Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:07:34.6532281Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:07:34.6532679Z which the learning rate will be reduced. 2025-12-04T09:07:34.6533081Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:07:34.6533685Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:07:34.6534259Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:07:34.6534665Z we have what is considered an intolerable epoch. 2025-12-04T09:07:34.6535113Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:07:34.6535583Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:07:34.6536089Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:07:34.6536732Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:07:34.6537201Z the learning rate is not adjusted. 2025-12-04T09:07:34.6537469Z Default: 10. 2025-12-04T09:07:34.6537776Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:07:34.6538173Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:07:34.6538558Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:07:34.6538934Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:07:34.6539290Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:07:34.6539642Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:07:34.6540021Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:07:34.6540422Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:07:34.6540813Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:07:34.6541201Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:07:34.6541757Z lower bound on the learning rate of all param groups 2025-12-04T09:07:34.6542103Z or each group respectively. Default: 0. 2025-12-04T09:07:34.6542465Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:07:34.6542973Z between new and old lr is smaller than eps, the update is 2025-12-04T09:07:34.6543316Z ignored. Default: 1e-8. 2025-12-04T09:07:34.6543488Z 2025-12-04T09:07:34.6543568Z Example: 2025-12-04T09:07:34.6543763Z >>> # xdoctest: +SKIP 2025-12-04T09:07:34.6544131Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:07:34.6544560Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:07:34.6544880Z >>> for epoch in range(10): 2025-12-04T09:07:34.6545131Z >>> train(...) 2025-12-04T09:07:34.6545367Z >>> val_loss = validate(...) 2025-12-04T09:07:34.6545685Z >>> # Note that step should be called after validate() 2025-12-04T09:07:34.6546006Z >>> scheduler.step(val_loss) 2025-12-04T09:07:34.6546190Z 2025-12-04T09:07:34.6546429Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:07:34.6546750Z 2025-12-04T09:07:34.6547205Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:07:34.6547648Z 2025-12-04T09:07:34.6547745Z scheduler.step(val_loss) 2025-12-04T09:07:34.6547967Z ^ 2025-12-04T09:07:37.8775835Z running 894 test(s) 2025-12-04T09:07:37.8783332Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file 2025-12-04T09:07:37.8789525Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0 2025-12-04T09:07:37.8801610Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file 2025-12-04T09:07:37.8803400Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0 2025-12-04T09:07:37.8804738Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file 2025-12-04T09:07:37.8806092Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0 2025-12-04T09:07:37.8807287Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file 2025-12-04T09:07:37.8808335Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0 2025-12-04T09:07:37.8809365Z * 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 2025-12-04T09:07:37.8810557Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0 2025-12-04T09:07:37.8811859Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file 2025-12-04T09:07:37.8812981Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0 2025-12-04T09:07:37.8814474Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file 2025-12-04T09:07:37.8815595Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2025-12-04T09:07:37.8816586Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file 2025-12-04T09:07:37.8817753Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0 2025-12-04T09:07:37.8818922Z * 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 2025-12-04T09:07:37.8820514Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2025-12-04T09:07:37.8821959Z * 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 2025-12-04T09:07:37.8823332Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0 2025-12-04T09:07:37.8824456Z * 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 2025-12-04T09:07:37.8825643Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0 2025-12-04T09:07:37.8826674Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2025-12-04T09:07:37.8827649Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0 2025-12-04T09:07:37.8828580Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file 2025-12-04T09:07:37.8829516Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0 2025-12-04T09:07:37.8830466Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file 2025-12-04T09:07:37.9468655Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0 2025-12-04T09:07:37.9470010Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2025-12-04T09:07:37.9471769Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0 2025-12-04T09:07:37.9473032Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file 2025-12-04T09:07:37.9487706Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0 2025-12-04T09:07:37.9488966Z * 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 2025-12-04T09:07:37.9510062Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2025-12-04T09:07:37.9511280Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file 2025-12-04T09:07:37.9612484Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0 2025-12-04T09:07:37.9618389Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file 2025-12-04T09:07:37.9624166Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0 2025-12-04T09:07:37.9625310Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file 2025-12-04T09:07:37.9633550Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0 2025-12-04T09:07:37.9635019Z * 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 2025-12-04T09:07:37.9645092Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2025-12-04T09:07:37.9646344Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file 2025-12-04T09:07:37.9665735Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0 2025-12-04T09:07:37.9666995Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2025-12-04T09:07:37.9684756Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0 2025-12-04T09:07:37.9686046Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file 2025-12-04T09:07:37.9692358Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0 2025-12-04T09:07:37.9693640Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file 2025-12-04T09:07:37.9696369Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0 2025-12-04T09:07:37.9697582Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0, line 144 <- wrt source file 2025-12-04T09:07:37.9710680Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0 2025-12-04T09:07:37.9711958Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file 2025-12-04T09:07:37.9730355Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0 2025-12-04T09:07:37.9731341Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file 2025-12-04T09:07:37.9779443Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0 2025-12-04T09:07:37.9781660Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file 2025-12-04T09:07:37.9827031Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0 2025-12-04T09:07:37.9828093Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file 2025-12-04T09:07:37.9840861Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0 2025-12-04T09:07:37.9841925Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file 2025-12-04T09:07:37.9852877Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0 2025-12-04T09:07:37.9853904Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file 2025-12-04T09:07:37.9860821Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0 2025-12-04T09:07:37.9861830Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file 2025-12-04T09:07:37.9872439Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0 2025-12-04T09:07:37.9873498Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file 2025-12-04T09:07:37.9888498Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0 2025-12-04T09:07:37.9889485Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file 2025-12-04T09:07:37.9908131Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0 2025-12-04T09:07:37.9909345Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file 2025-12-04T09:07:37.9927992Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0 2025-12-04T09:07:37.9929167Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file 2025-12-04T09:07:37.9951898Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0 2025-12-04T09:07:37.9953070Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file 2025-12-04T09:07:37.9991257Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0 2025-12-04T09:07:37.9993202Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file 2025-12-04T09:07:38.0020798Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0 2025-12-04T09:07:38.0022174Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file 2025-12-04T09:07:38.0023215Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0 2025-12-04T09:07:38.0024347Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file 2025-12-04T09:07:38.0025768Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0 2025-12-04T09:07:38.0027010Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0, line 477 <- wrt source file 2025-12-04T09:07:38.0027923Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0 2025-12-04T09:07:38.0029068Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0, line 537 <- wrt source file 2025-12-04T09:07:38.0030075Z * SKIPPED: 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/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 2025-12-04T09:07:38.0038489Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0 2025-12-04T09:07:38.0039490Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file 2025-12-04T09:07:38.0040499Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0 2025-12-04T09:07:38.0041531Z * 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 2025-12-04T09:07:38.0044286Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2025-12-04T09:07:38.0045344Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file 2025-12-04T09:07:38.0048952Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0 2025-12-04T09:07:38.0049906Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0, line 521 <- wrt source file 2025-12-04T09:07:38.0061329Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0 2025-12-04T09:07:38.0062226Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0, line 627 <- wrt source file 2025-12-04T09:07:38.0077913Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0 2025-12-04T09:07:38.0079069Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file 2025-12-04T09:07:38.0080100Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0 2025-12-04T09:07:38.0081086Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file 2025-12-04T09:07:38.0082108Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0 2025-12-04T09:07:38.0083106Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file 2025-12-04T09:07:38.0269238Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0 2025-12-04T09:07:38.0270295Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file 2025-12-04T09:07:38.0361414Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0 2025-12-04T09:07:38.0362455Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file 2025-12-04T09:07:38.0543398Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0 2025-12-04T09:07:38.0544571Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file 2025-12-04T09:07:38.0545717Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0 2025-12-04T09:07:38.0546705Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file 2025-12-04T09:07:38.0549885Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0 2025-12-04T09:07:38.0550949Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file 2025-12-04T09:07:38.0589458Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0 2025-12-04T09:07:38.0590515Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file 2025-12-04T09:07:38.0593302Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0 2025-12-04T09:07:38.0594458Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file 2025-12-04T09:07:38.0597381Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0 2025-12-04T09:07:38.0598709Z * 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 2025-12-04T09:07:38.0630598Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2025-12-04T09:07:38.0631646Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file 2025-12-04T09:07:38.0639687Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0 2025-12-04T09:07:38.0641107Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2025-12-04T09:07:38.0642326Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0 2025-12-04T09:07:38.0643384Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file 2025-12-04T09:07:38.0644459Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0 2025-12-04T09:07:38.0645693Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file 2025-12-04T09:07:38.0646743Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0 2025-12-04T09:07:38.0647734Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file 2025-12-04T09:07:38.0648745Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0 2025-12-04T09:07:38.0649774Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file 2025-12-04T09:07:38.0651518Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0 2025-12-04T09:07:38.0652620Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file 2025-12-04T09:07:38.0653605Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0 2025-12-04T09:07:38.0654558Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file 2025-12-04T09:07:38.0659286Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0 2025-12-04T09:07:38.0660482Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file 2025-12-04T09:07:38.0661512Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0 2025-12-04T09:07:38.0662668Z * 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 2025-12-04T09:07:38.0663802Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2025-12-04T09:07:38.0664840Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file 2025-12-04T09:07:38.0681289Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0 2025-12-04T09:07:38.0682426Z * 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 2025-12-04T09:07:38.0688360Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2025-12-04T09:07:38.0689540Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file 2025-12-04T09:07:38.2058662Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2025-12-04T09:07:38.2059948Z * 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 2025-12-04T09:07:38.2061239Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0 2025-12-04T09:07:38.2062358Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file 2025-12-04T09:07:38.2063446Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0 2025-12-04T09:07:38.2064486Z * 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 2025-12-04T09:07:38.2065555Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2025-12-04T09:07:38.2066613Z * 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 2025-12-04T09:07:38.6042895Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2025-12-04T09:07:38.6044235Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file 2025-12-04T09:07:38.6045517Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2025-12-04T09:07:38.6046819Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file 2025-12-04T09:07:38.6049652Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0 2025-12-04T09:07:38.6050932Z * 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 2025-12-04T09:07:38.6053686Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2025-12-04T09:07:38.6055130Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file 2025-12-04T09:07:38.6057941Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0 2025-12-04T09:07:38.6059183Z * 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 2025-12-04T09:07:38.6060322Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0 2025-12-04T09:07:38.6061403Z * 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 2025-12-04T09:07:38.6062709Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0 2025-12-04T09:07:38.6064031Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file 2025-12-04T09:07:38.6065211Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0 2025-12-04T09:07:38.6066298Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file 2025-12-04T09:07:38.6067444Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0 2025-12-04T09:07:38.6068495Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file 2025-12-04T09:07:38.6069643Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0 2025-12-04T09:07:38.6070772Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file 2025-12-04T09:07:38.6072136Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0 2025-12-04T09:07:38.6073298Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file 2025-12-04T09:07:38.6074686Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0 2025-12-04T09:07:38.6075868Z * 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 2025-12-04T09:07:38.6077177Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2025-12-04T09:07:38.6078402Z * 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 2025-12-04T09:07:38.6079595Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0 2025-12-04T09:07:38.6080860Z * 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 2025-12-04T09:07:38.6082081Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0 2025-12-04T09:07:38.6083285Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file 2025-12-04T09:07:38.6084502Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0 2025-12-04T09:07:38.6085725Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file 2025-12-04T09:07:38.6086800Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0 2025-12-04T09:07:38.6088129Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file 2025-12-04T09:07:38.6096134Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0 2025-12-04T09:07:38.6097224Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file 2025-12-04T09:07:38.6098258Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0 2025-12-04T09:07:38.6099271Z * 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 2025-12-04T09:07:38.6120569Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2025-12-04T09:07:38.6121849Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file 2025-12-04T09:07:38.6126811Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0 2025-12-04T09:07:38.6128044Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file 2025-12-04T09:07:38.6177025Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0 2025-12-04T09:07:38.6178309Z * 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 2025-12-04T09:07:38.6185204Z W1204 09:07:38.617000 1844 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. 2025-12-04T09:07:38.6202910Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2025-12-04T09:07:38.6204022Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file 2025-12-04T09:07:38.6222707Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0 2025-12-04T09:07:38.6223681Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file 2025-12-04T09:07:38.6235165Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0 2025-12-04T09:07:38.6236487Z * 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 2025-12-04T09:07:38.6246052Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2025-12-04T09:07:38.6247423Z * 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 2025-12-04T09:07:38.6297437Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2025-12-04T09:07:38.6298794Z * 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 2025-12-04T09:07:38.6301908Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2025-12-04T09:07:38.6303584Z * 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 2025-12-04T09:07:38.6305137Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2025-12-04T09:07:38.6306803Z * 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 2025-12-04T09:07:38.6308654Z * 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 2025-12-04T09:07:38.6310284Z * 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 2025-12-04T09:07:38.6311791Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0 2025-12-04T09:07:38.6313600Z * 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 2025-12-04T09:07:38.6315398Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0 2025-12-04T09:07:38.6316909Z * 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 2025-12-04T09:07:38.6318350Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0 2025-12-04T09:07:38.6319719Z * 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 2025-12-04T09:07:38.6622094Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2025-12-04T09:07:38.6623386Z * 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 2025-12-04T09:07:38.6624888Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2025-12-04T09:07:38.6625991Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file 2025-12-04T09:07:38.6666969Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2025-12-04T09:07:38.6668061Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file 2025-12-04T09:07:38.6732347Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2025-12-04T09:07:38.6733414Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file 2025-12-04T09:07:38.7658650Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2025-12-04T09:07:38.7659909Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file 2025-12-04T09:07:38.7727185Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2025-12-04T09:07:38.7728535Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file 2025-12-04T09:07:38.7747594Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2025-12-04T09:07:38.7748852Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file 2025-12-04T09:07:38.7753293Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2025-12-04T09:07:38.7754585Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file 2025-12-04T09:07:38.7932162Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2025-12-04T09:07:38.7933290Z * 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 2025-12-04T09:07:38.7940327Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0 2025-12-04T09:07:38.7941599Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2025-12-04T09:07:38.7942856Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2025-12-04T09:07:38.7944312Z * 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 2025-12-04T09:07:38.7945664Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0 2025-12-04T09:07:38.7946965Z * 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 2025-12-04T09:07:38.7948463Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0 2025-12-04T09:07:38.7949973Z * 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 2025-12-04T09:07:38.7951635Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2025-12-04T09:07:38.7953296Z * 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 2025-12-04T09:07:38.7955147Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2025-12-04T09:07:38.7956534Z * 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 2025-12-04T09:07:38.7957669Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0 2025-12-04T09:07:38.7959058Z * 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 2025-12-04T09:07:38.7960534Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0 2025-12-04T09:07:38.7962054Z * 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 2025-12-04T09:07:38.7963405Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0 2025-12-04T09:07:38.7964723Z * 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 2025-12-04T09:07:38.7966109Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0 2025-12-04T09:07:38.7967266Z * 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 2025-12-04T09:07:38.7968289Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0 2025-12-04T09:07:38.7969351Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file 2025-12-04T09:07:38.7970484Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0 2025-12-04T09:07:38.7971660Z * 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 2025-12-04T09:07:38.7972967Z * 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 2025-12-04T09:07:38.7974199Z * 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 2025-12-04T09:07:38.7975407Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0 2025-12-04T09:07:38.7976572Z * 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 2025-12-04T09:07:38.7977757Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0 2025-12-04T09:07:38.7978890Z * 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 2025-12-04T09:07:38.7980038Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0 2025-12-04T09:07:38.7981222Z * 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 2025-12-04T09:07:38.7982491Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0 2025-12-04T09:07:38.7983739Z * 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 2025-12-04T09:07:38.7985027Z * SKIPPED: 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/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 2025-12-04T09:07:38.7993552Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0 2025-12-04T09:07:38.7995012Z * 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 2025-12-04T09:07:38.7996375Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0 2025-12-04T09:07:38.7997531Z * 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 2025-12-04T09:07:38.8347368Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0 2025-12-04T09:07:38.8349596Z * 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 2025-12-04T09:07:38.8444351Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2025-12-04T09:07:38.8445545Z * 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 2025-12-04T09:07:38.8446753Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2025-12-04T09:07:38.8447928Z * 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 2025-12-04T09:07:38.8636953Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2025-12-04T09:07:38.8638132Z * 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 2025-12-04T09:07:38.8829188Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2025-12-04T09:07:38.8830729Z * 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 2025-12-04T09:07:38.8831962Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0 2025-12-04T09:07:38.8833491Z * 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 2025-12-04T09:07:38.8834962Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2025-12-04T09:07:38.8836332Z * 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 2025-12-04T09:07:38.8918458Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2025-12-04T09:07:38.8919767Z * 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 2025-12-04T09:07:38.8926344Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0 2025-12-04T09:07:38.8927667Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file 2025-12-04T09:07:38.8928858Z * SKIPPED: 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2025-12-04T09:07:38.8973405Z * 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 2025-12-04T09:07:38.8974522Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0 2025-12-04T09:07:38.8975629Z * 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 2025-12-04T09:07:38.9022447Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0 2025-12-04T09:07:38.9023611Z * 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 2025-12-04T09:07:38.9026770Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0 2025-12-04T09:07:38.9027879Z * 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 2025-12-04T09:07:38.9091226Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0 2025-12-04T09:07:38.9092373Z * 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 2025-12-04T09:07:38.9154805Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0 2025-12-04T09:07:38.9156057Z * 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 2025-12-04T09:07:38.9209316Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2025-12-04T09:07:38.9210481Z * 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 2025-12-04T09:07:38.9211878Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2025-12-04T09:07:38.9212991Z * 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 2025-12-04T09:07:38.9231064Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2025-12-04T09:07:38.9232247Z * 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 2025-12-04T09:07:38.9235451Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2025-12-04T09:07:38.9236635Z * 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 2025-12-04T09:07:38.9240377Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2025-12-04T09:07:38.9241502Z * 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 2025-12-04T09:07:38.9242582Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2025-12-04T09:07:38.9243694Z * 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 2025-12-04T09:07:38.9248311Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2025-12-04T09:07:38.9249443Z * 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 2025-12-04T09:07:38.9252127Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0 2025-12-04T09:07:38.9253233Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file 2025-12-04T09:07:38.9254510Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0 2025-12-04T09:07:38.9255895Z * 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 2025-12-04T09:07:38.9257174Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0 2025-12-04T09:07:38.9258294Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file 2025-12-04T09:07:38.9259325Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2025-12-04T09:07:38.9260470Z * 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 2025-12-04T09:07:38.9261750Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:07:38.9263075Z * 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 2025-12-04T09:07:38.9264571Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:07:38.9266099Z * 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 2025-12-04T09:07:38.9267442Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:07:38.9268847Z * 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 2025-12-04T09:07:38.9270253Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2025-12-04T09:07:38.9280157Z * 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 2025-12-04T09:07:38.9281867Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2025-12-04T09:07:38.9283374Z * 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 2025-12-04T09:07:38.9286787Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2025-12-04T09:07:38.9288171Z * 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 2025-12-04T09:07:38.9320768Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2025-12-04T09:07:38.9322715Z * 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 2025-12-04T09:07:38.9324106Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2025-12-04T09:07:38.9325445Z * 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 2025-12-04T09:07:38.9326816Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2025-12-04T09:07:38.9328149Z * 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 2025-12-04T09:07:38.9329523Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2025-12-04T09:07:38.9330885Z * 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 2025-12-04T09:07:38.9332352Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2025-12-04T09:07:38.9333834Z * 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 2025-12-04T09:07:38.9339352Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2025-12-04T09:07:38.9340830Z * 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 2025-12-04T09:07:38.9342328Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2025-12-04T09:07:38.9343787Z * 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 2025-12-04T09:07:38.9345491Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2025-12-04T09:07:38.9347070Z * 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 2025-12-04T09:07:38.9348565Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2025-12-04T09:07:38.9350086Z * 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 2025-12-04T09:07:38.9351703Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:07:38.9353270Z * 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 2025-12-04T09:07:38.9354991Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:07:38.9356567Z * 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 2025-12-04T09:07:38.9358171Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:07:38.9359702Z * 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 2025-12-04T09:07:38.9361222Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2025-12-04T09:07:38.9362676Z * 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 2025-12-04T09:07:38.9364134Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2025-12-04T09:07:38.9365555Z * 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 2025-12-04T09:07:38.9366999Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2025-12-04T09:07:38.9368438Z * 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 2025-12-04T09:07:38.9369938Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2025-12-04T09:07:38.9371410Z * 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 2025-12-04T09:07:38.9372972Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2025-12-04T09:07:38.9374440Z * 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 2025-12-04T09:07:38.9375926Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2025-12-04T09:07:38.9377357Z * 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 2025-12-04T09:07:38.9378932Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2025-12-04T09:07:38.9380321Z * 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 2025-12-04T09:07:38.9381797Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0 2025-12-04T09:07:38.9383145Z * 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 2025-12-04T09:07:38.9384526Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2025-12-04T09:07:38.9385871Z * 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 2025-12-04T09:07:38.9387265Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2025-12-04T09:07:38.9388674Z * 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 2025-12-04T09:07:38.9390180Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:07:38.9391651Z * 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 2025-12-04T09:07:38.9393208Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:07:38.9394774Z * 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 2025-12-04T09:07:38.9396281Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:07:38.9397777Z * 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 2025-12-04T09:07:38.9399315Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2025-12-04T09:07:38.9400833Z * 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 2025-12-04T09:07:38.9402399Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2025-12-04T09:07:38.9403989Z * 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 2025-12-04T09:07:38.9405674Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2025-12-04T09:07:38.9407296Z * 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 2025-12-04T09:07:38.9408935Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2025-12-04T09:07:38.9410406Z * 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 2025-12-04T09:07:38.9411826Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2025-12-04T09:07:38.9413630Z * 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 2025-12-04T09:07:38.9415003Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0 2025-12-04T09:07:38.9416863Z * 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 2025-12-04T09:07:38.9450853Z * 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 2025-12-04T09:07:38.9452787Z * 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 2025-12-04T09:07:38.9454372Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2025-12-04T09:07:38.9455711Z * 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 2025-12-04T09:07:38.9456943Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2025-12-04T09:07:38.9458167Z * 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 2025-12-04T09:07:38.9459457Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2025-12-04T09:07:38.9460772Z * 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 2025-12-04T09:07:38.9463006Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0 2025-12-04T09:07:38.9464499Z * 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 2025-12-04T09:07:38.9465699Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2025-12-04T09:07:38.9466896Z * 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 2025-12-04T09:07:38.9475364Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2025-12-04T09:07:38.9476637Z * 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 2025-12-04T09:07:38.9483236Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2025-12-04T09:07:38.9484503Z * 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 2025-12-04T09:07:38.9489823Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2025-12-04T09:07:38.9491103Z * 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 2025-12-04T09:07:38.9497679Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2025-12-04T09:07:38.9499039Z * 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 2025-12-04T09:07:38.9500554Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0 2025-12-04T09:07:38.9501720Z * 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 2025-12-04T09:07:38.9503049Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2025-12-04T09:07:38.9504293Z * 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 2025-12-04T09:07:38.9505528Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2025-12-04T09:07:38.9506753Z * 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 2025-12-04T09:07:38.9508113Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2025-12-04T09:07:38.9509406Z * 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 2025-12-04T09:07:38.9510709Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2025-12-04T09:07:38.9512037Z * 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 2025-12-04T09:07:38.9513547Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2025-12-04T09:07:38.9515038Z * 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 2025-12-04T09:07:38.9516370Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2025-12-04T09:07:38.9517670Z * 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 2025-12-04T09:07:38.9519028Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2025-12-04T09:07:38.9520372Z * 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 2025-12-04T09:07:38.9521759Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2025-12-04T09:07:38.9523045Z * 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 2025-12-04T09:07:38.9524464Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2025-12-04T09:07:38.9525745Z * 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 2025-12-04T09:07:38.9527044Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2025-12-04T09:07:38.9529440Z * 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 2025-12-04T09:07:38.9530848Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2025-12-04T09:07:38.9531992Z * 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 2025-12-04T09:07:38.9533216Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2025-12-04T09:07:38.9534461Z * 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 2025-12-04T09:07:38.9535847Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2025-12-04T09:07:38.9537116Z * 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 2025-12-04T09:07:38.9538374Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2025-12-04T09:07:38.9539634Z * 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 2025-12-04T09:07:38.9540944Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2025-12-04T09:07:38.9542207Z * 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 2025-12-04T09:07:38.9543554Z * SKIPPED: 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85 <- wrt source file 2025-12-04T09:07:38.9552204Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0 2025-12-04T09:07:38.9553871Z * 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 2025-12-04T09:07:38.9555816Z * 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 2025-12-04T09:07:38.9557521Z * 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 2025-12-04T09:07:38.9559509Z * 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 2025-12-04T09:07:38.9561510Z * 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 2025-12-04T09:07:38.9563379Z * 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 2025-12-04T09:07:38.9565184Z * 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 2025-12-04T09:07:38.9567071Z * 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 2025-12-04T09:07:38.9568614Z * 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 2025-12-04T09:07:38.9570177Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0 2025-12-04T09:07:38.9571519Z * 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 2025-12-04T09:07:38.9572871Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0 2025-12-04T09:07:38.9574196Z * 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 2025-12-04T09:07:38.9575683Z * 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 2025-12-04T09:07:38.9577016Z * 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 2025-12-04T09:07:38.9578493Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2025-12-04T09:07:38.9579802Z * 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 2025-12-04T09:07:38.9580913Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0 2025-12-04T09:07:38.9581972Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 82 <- wrt source file 2025-12-04T09:07:38.9583118Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0 2025-12-04T09:07:38.9584248Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 151 <- wrt source file 2025-12-04T09:07:38.9585324Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0 2025-12-04T09:07:38.9586365Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 187 <- wrt source file 2025-12-04T09:07:38.9587522Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0 2025-12-04T09:07:38.9588875Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 72 <- wrt source file 2025-12-04T09:07:38.9590248Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0 2025-12-04T09:07:38.9591543Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 116 <- wrt source file 2025-12-04T09:07:38.9592873Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0 2025-12-04T09:07:38.9594043Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 169 <- wrt source file 2025-12-04T09:07:38.9595400Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0 2025-12-04T09:07:38.9596732Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 216 <- wrt source file 2025-12-04T09:07:38.9598152Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0 2025-12-04T09:07:38.9599461Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 245 <- wrt source file 2025-12-04T09:07:38.9600798Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0 2025-12-04T09:07:38.9602052Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0, line 487 <- wrt source file 2025-12-04T09:07:38.9603564Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0 2025-12-04T09:07:38.9604905Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0, line 300 <- wrt source file 2025-12-04T09:07:38.9605959Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0 2025-12-04T09:07:38.9606947Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0, line 402 <- wrt source file 2025-12-04T09:07:38.9608094Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0 2025-12-04T09:07:38.9609218Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0, line 642 <- wrt source file 2025-12-04T09:07:38.9610284Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0 2025-12-04T09:07:38.9611308Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file 2025-12-04T09:07:38.9612370Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0 2025-12-04T09:07:38.9613644Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file 2025-12-04T09:07:38.9614673Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0 2025-12-04T09:07:38.9615662Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file 2025-12-04T09:07:38.9616681Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0 2025-12-04T09:07:38.9617862Z * 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 2025-12-04T09:07:38.9618894Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0 2025-12-04T09:07:38.9620026Z * 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 2025-12-04T09:07:38.9621092Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2025-12-04T09:07:38.9622135Z * 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 2025-12-04T09:07:38.9623225Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2025-12-04T09:07:38.9624296Z * 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 2025-12-04T09:07:38.9625367Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0 2025-12-04T09:07:38.9626399Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file 2025-12-04T09:07:38.9627587Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0 2025-12-04T09:07:38.9628698Z * 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 2025-12-04T09:07:38.9629798Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0 2025-12-04T09:07:38.9630885Z * 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 2025-12-04T09:07:38.9645319Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2025-12-04T09:07:38.9646607Z * 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 2025-12-04T09:07:38.9647888Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2025-12-04T09:07:38.9648997Z * 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 2025-12-04T09:07:38.9650018Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0 2025-12-04T09:07:38.9651089Z * 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 2025-12-04T09:07:38.9652253Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0 2025-12-04T09:07:38.9653372Z * 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 2025-12-04T09:07:38.9662553Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0 2025-12-04T09:07:38.9663759Z * 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 2025-12-04T09:07:38.9681913Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0 2025-12-04T09:07:38.9683281Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file 2025-12-04T09:07:38.9684518Z * SKIPPED: 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2025-12-04T09:07:38.9692863Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file 2025-12-04T09:07:38.9694149Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0 2025-12-04T09:07:38.9695367Z * 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 2025-12-04T09:07:38.9696641Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0 2025-12-04T09:07:38.9698049Z * 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 2025-12-04T09:07:38.9699520Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0 2025-12-04T09:07:38.9700701Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file 2025-12-04T09:07:38.9701814Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0 2025-12-04T09:07:38.9702891Z * 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 2025-12-04T09:07:38.9704111Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2025-12-04T09:07:38.9705309Z * 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 2025-12-04T09:07:38.9706476Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2025-12-04T09:07:38.9707498Z * 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 2025-12-04T09:07:38.9708638Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2025-12-04T09:07:38.9709837Z * 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 2025-12-04T09:07:38.9711179Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2025-12-04T09:07:38.9712413Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2025-12-04T09:07:38.9714303Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0 2025-12-04T09:07:38.9715749Z * 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 2025-12-04T09:07:38.9716991Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2025-12-04T09:07:38.9726116Z * 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 2025-12-04T09:07:38.9727375Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2025-12-04T09:07:38.9728610Z * 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 2025-12-04T09:07:38.9729826Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2025-12-04T09:07:38.9731010Z * 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 2025-12-04T09:07:38.9732243Z * 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 2025-12-04T09:07:38.9755422Z * 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 2025-12-04T09:07:38.9756596Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0 2025-12-04T09:07:38.9757990Z * 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 2025-12-04T09:07:38.9759538Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0 2025-12-04T09:07:38.9760760Z * 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 2025-12-04T09:07:38.9939646Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0 2025-12-04T09:07:38.9941002Z * 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 2025-12-04T09:07:38.9942412Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0 2025-12-04T09:07:38.9943881Z * 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 2025-12-04T09:07:38.9945187Z * SKIPPED: 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wrt source file 2025-12-04T09:07:38.9953189Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_loader.py::load:0 2025-12-04T09:07:38.9954493Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::save:0, line 160 <- wrt source file 2025-12-04T09:07:38.9955702Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::save:0 2025-12-04T09:07:38.9956891Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::async_save:0, line 275 <- wrt source file 2025-12-04T09:07:38.9958153Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::async_save:0 2025-12-04T09:07:38.9959439Z * DOCTEST : 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0, line 125 <- wrt source file 2025-12-04T09:07:38.9999506Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0 2025-12-04T09:07:39.0001134Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.set_state_dict_type:0, line 651 <- wrt source file 2025-12-04T09:07:39.0002751Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.set_state_dict_type:0 2025-12-04T09:07:39.0004321Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.state_dict_type:0, line 805 <- wrt source file 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0 2025-12-04T09:07:39.0165656Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2025-12-04T09:07:39.0166920Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0 2025-12-04T09:07:39.0168040Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file 2025-12-04T09:07:39.0169067Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0 2025-12-04T09:07:39.0170140Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file 2025-12-04T09:07:39.0171438Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0 2025-12-04T09:07:39.0172809Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file 2025-12-04T09:07:39.0174251Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2025-12-04T09:07:39.0175611Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file 2025-12-04T09:07:39.0176934Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2025-12-04T09:07:39.0178122Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file 2025-12-04T09:07:39.0179305Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2025-12-04T09:07:39.0180546Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file 2025-12-04T09:07:39.0181724Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0 2025-12-04T09:07:39.0182891Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2025-12-04T09:07:39.0184117Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2025-12-04T09:07:39.0185289Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file 2025-12-04T09:07:39.0186498Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0 2025-12-04T09:07:39.0187695Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file 2025-12-04T09:07:39.0188991Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0 2025-12-04T09:07:39.0190159Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file 2025-12-04T09:07:39.0191495Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0 2025-12-04T09:07:39.0192847Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file 2025-12-04T09:07:39.0194223Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0 2025-12-04T09:07:39.0195318Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file 2025-12-04T09:07:39.0196553Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2025-12-04T09:07:39.0197749Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file 2025-12-04T09:07:39.0198888Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2025-12-04T09:07:39.0200140Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file 2025-12-04T09:07:39.0201300Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0 2025-12-04T09:07:39.0202637Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file 2025-12-04T09:07:39.0203827Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2025-12-04T09:07:39.0204970Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file 2025-12-04T09:07:39.0206116Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2025-12-04T09:07:39.0207214Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file 2025-12-04T09:07:39.0208307Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0 2025-12-04T09:07:39.0209401Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file 2025-12-04T09:07:39.0210562Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2025-12-04T09:07:39.0211659Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file 2025-12-04T09:07:39.0212777Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0 2025-12-04T09:07:39.0218020Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file 2025-12-04T09:07:39.0219252Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2025-12-04T09:07:39.0220549Z * 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 2025-12-04T09:07:39.0221985Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0 2025-12-04T09:07:39.0223400Z * 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 2025-12-04T09:07:39.0224691Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0 2025-12-04T09:07:39.0225878Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file 2025-12-04T09:07:39.0227027Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0 2025-12-04T09:07:39.0228237Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file 2025-12-04T09:07:39.0229639Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2025-12-04T09:07:39.0230843Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file 2025-12-04T09:07:39.0232172Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0 2025-12-04T09:07:39.0233582Z * 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 2025-12-04T09:07:39.0235116Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2025-12-04T09:07:39.0236346Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file 2025-12-04T09:07:39.0237564Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0 2025-12-04T09:07:39.0238624Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file 2025-12-04T09:07:39.0239808Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0 2025-12-04T09:07:39.0241050Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file 2025-12-04T09:07:39.0242322Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0 2025-12-04T09:07:39.0243686Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file 2025-12-04T09:07:39.0245126Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0 2025-12-04T09:07:39.0246400Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file 2025-12-04T09:07:39.0247625Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0 2025-12-04T09:07:39.0249028Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file 2025-12-04T09:07:39.0250391Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2025-12-04T09:07:39.1462214Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file 2025-12-04T09:07:39.1473015Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0 2025-12-04T09:07:39.1474420Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file 2025-12-04T09:07:39.1483164Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0 2025-12-04T09:07:39.1484407Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file 2025-12-04T09:07:39.1495740Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0 2025-12-04T09:07:39.1496971Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file 2025-12-04T09:07:39.1511825Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0 2025-12-04T09:07:39.1513038Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file 2025-12-04T09:07:39.1520363Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0 2025-12-04T09:07:39.1522015Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file 2025-12-04T09:07:39.1531346Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0 2025-12-04T09:07:39.1533101Z * 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 2025-12-04T09:07:39.1540072Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2025-12-04T09:07:39.1541485Z * 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 2025-12-04T09:07:39.1547282Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2025-12-04T09:07:39.1548584Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file 2025-12-04T09:07:39.1559578Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0 2025-12-04T09:07:39.1560730Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2025-12-04T09:07:39.1569657Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0 2025-12-04T09:07:39.1571037Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2025-12-04T09:07:39.1575553Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0 2025-12-04T09:07:39.1576720Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2025-12-04T09:07:39.1583900Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0 2025-12-04T09:07:39.1585070Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2025-12-04T09:07:39.1589839Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0 2025-12-04T09:07:39.1590995Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2025-12-04T09:07:39.1627197Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0 2025-12-04T09:07:39.1628375Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2025-12-04T09:07:39.1648404Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0 2025-12-04T09:07:39.1649591Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file 2025-12-04T09:07:39.1652786Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0 2025-12-04T09:07:39.1653983Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file 2025-12-04T09:07:39.1657245Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0 2025-12-04T09:07:39.1658383Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file 2025-12-04T09:07:39.1661634Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0 2025-12-04T09:07:39.1662804Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file 2025-12-04T09:07:39.1666981Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0 2025-12-04T09:07:39.1668151Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file 2025-12-04T09:07:39.1671359Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0 2025-12-04T09:07:39.1672480Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file 2025-12-04T09:07:39.1675957Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0 2025-12-04T09:07:39.1677066Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file 2025-12-04T09:07:39.1680325Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0 2025-12-04T09:07:39.1681413Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file 2025-12-04T09:07:39.1685033Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0 2025-12-04T09:07:39.1686135Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file 2025-12-04T09:07:39.1691709Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0 2025-12-04T09:07:39.1692886Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file 2025-12-04T09:07:39.1696453Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0 2025-12-04T09:07:39.1697644Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file 2025-12-04T09:07:39.1701006Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0 2025-12-04T09:07:39.1702220Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file 2025-12-04T09:07:39.1705924Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0 2025-12-04T09:07:39.1707026Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file 2025-12-04T09:07:39.1710807Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0 2025-12-04T09:07:39.1712159Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file 2025-12-04T09:07:39.1713407Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0 2025-12-04T09:07:39.1714430Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file 2025-12-04T09:07:39.1719224Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0 2025-12-04T09:07:39.1720657Z * 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 2025-12-04T09:07:39.1721809Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2025-12-04T09:07:39.1722950Z * 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 2025-12-04T09:07:39.1724184Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0 2025-12-04T09:07:39.1725388Z * 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 2025-12-04T09:07:39.1726619Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0 2025-12-04T09:07:39.1727739Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file 2025-12-04T09:07:39.1728771Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0 2025-12-04T09:07:39.1729818Z * 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 2025-12-04T09:07:39.1730885Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0 2025-12-04T09:07:39.1732144Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file 2025-12-04T09:07:39.1733275Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0 2025-12-04T09:07:39.1734411Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file 2025-12-04T09:07:39.1737735Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0 2025-12-04T09:07:39.1738750Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file 2025-12-04T09:07:39.1742645Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0 2025-12-04T09:07:39.1743739Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file 2025-12-04T09:07:39.1747749Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2025-12-04T09:07:39.1748789Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file 2025-12-04T09:07:39.1752424Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0 2025-12-04T09:07:39.1753453Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file 2025-12-04T09:07:39.1758226Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2025-12-04T09:07:39.1759299Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file 2025-12-04T09:07:39.1762764Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2025-12-04T09:07:39.1767439Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file 2025-12-04T09:07:39.1768709Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0 2025-12-04T09:07:39.1769942Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file 2025-12-04T09:07:39.1771431Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0 2025-12-04T09:07:39.1772430Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file 2025-12-04T09:07:39.1776140Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0 2025-12-04T09:07:39.1777188Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file 2025-12-04T09:07:39.1781013Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0 2025-12-04T09:07:39.1782043Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file 2025-12-04T09:07:39.1785559Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0 2025-12-04T09:07:39.1786564Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file 2025-12-04T09:07:39.1790168Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0 2025-12-04T09:07:39.1791272Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file 2025-12-04T09:07:39.1794756Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0 2025-12-04T09:07:39.1795760Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file 2025-12-04T09:07:39.1799709Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0 2025-12-04T09:07:39.1800719Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file 2025-12-04T09:07:39.1807935Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0 2025-12-04T09:07:39.1809235Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file 2025-12-04T09:07:39.1812349Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2025-12-04T09:07:39.1813889Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file 2025-12-04T09:07:39.1817864Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2025-12-04T09:07:39.1819197Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file 2025-12-04T09:07:39.1822285Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2025-12-04T09:07:39.1823595Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file 2025-12-04T09:07:39.1827284Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0 2025-12-04T09:07:39.1828602Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file 2025-12-04T09:07:39.1831843Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0 2025-12-04T09:07:39.1833241Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file 2025-12-04T09:07:39.1834819Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2025-12-04T09:07:39.1836160Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file 2025-12-04T09:07:39.1838744Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0 2025-12-04T09:07:39.1840028Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file 2025-12-04T09:07:39.1843812Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0 2025-12-04T09:07:39.1845134Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file 2025-12-04T09:07:39.1848443Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2025-12-04T09:07:39.1849741Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file 2025-12-04T09:07:39.1853735Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0 2025-12-04T09:07:39.1855034Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file 2025-12-04T09:07:39.1858362Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0 2025-12-04T09:07:39.1859664Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file 2025-12-04T09:07:39.1863521Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2025-12-04T09:07:39.1864835Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file 2025-12-04T09:07:39.1868562Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2025-12-04T09:07:39.1869887Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file 2025-12-04T09:07:39.1878473Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2025-12-04T09:07:39.1879796Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file 2025-12-04T09:07:39.2097987Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2025-12-04T09:07:39.2099364Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file 2025-12-04T09:07:39.4152024Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2025-12-04T09:07:39.4417466Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file 2025-12-04T09:07:39.4419571Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0 2025-12-04T09:07:39.4420781Z * 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 2025-12-04T09:07:39.4422122Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0 2025-12-04T09:07:39.4423391Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2025-12-04T09:07:39.4447814Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2025-12-04T09:07:39.4449237Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file 2025-12-04T09:07:39.4450573Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0 2025-12-04T09:07:39.4451927Z * 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 2025-12-04T09:07:39.4458056Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0 2025-12-04T09:07:39.4459459Z * 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 2025-12-04T09:07:39.4466892Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0 2025-12-04T09:07:39.4468294Z * 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 2025-12-04T09:07:39.4477440Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0 2025-12-04T09:07:39.4479472Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file 2025-12-04T09:07:39.4481411Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0 2025-12-04T09:07:39.4483225Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file 2025-12-04T09:07:39.4484988Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0 2025-12-04T09:07:39.4486800Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file 2025-12-04T09:07:39.4488625Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0 2025-12-04T09:07:39.4490308Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file 2025-12-04T09:07:39.4492273Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0 2025-12-04T09:07:39.4494085Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2025-12-04T09:07:39.4495985Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2025-12-04T09:07:39.4497816Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file 2025-12-04T09:07:39.4503579Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2025-12-04T09:07:39.4505403Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2025-12-04T09:07:39.4509682Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0 2025-12-04T09:07:39.4511413Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file 2025-12-04T09:07:39.4517373Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2025-12-04T09:07:39.4519126Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file 2025-12-04T09:07:39.4539532Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2025-12-04T09:07:39.4541298Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file 2025-12-04T09:07:39.4614984Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2025-12-04T09:07:39.4616768Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file 2025-12-04T09:07:39.4621831Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2025-12-04T09:07:39.4623718Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file 2025-12-04T09:07:39.4725434Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2025-12-04T09:07:39.4727248Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file 2025-12-04T09:07:39.4732936Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0 2025-12-04T09:07:39.4734662Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file 2025-12-04T09:07:39.4750068Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0 2025-12-04T09:07:39.4751680Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file 2025-12-04T09:07:39.4757819Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0 2025-12-04T09:07:39.4759421Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file 2025-12-04T09:07:39.4776626Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0 2025-12-04T09:07:39.4778385Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file 2025-12-04T09:07:39.4792753Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2025-12-04T09:07:39.4794818Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file 2025-12-04T09:07:39.4957185Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2025-12-04T09:07:39.4959044Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file 2025-12-04T09:07:39.7007365Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2025-12-04T09:07:39.7276120Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file 2025-12-04T09:07:39.7280058Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2025-12-04T09:07:39.7281648Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2025-12-04T09:07:39.7289316Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0 2025-12-04T09:07:39.7290955Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file 2025-12-04T09:07:39.7299955Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0 2025-12-04T09:07:39.7302110Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file 2025-12-04T09:07:39.7323571Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0 2025-12-04T09:07:39.7325060Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file 2025-12-04T09:07:39.7331923Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0 2025-12-04T09:07:39.7333126Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file 2025-12-04T09:07:39.7362342Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2025-12-04T09:07:39.7363611Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file 2025-12-04T09:07:39.7370294Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2025-12-04T09:07:39.7371600Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file 2025-12-04T09:07:39.7386440Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2025-12-04T09:07:39.7387701Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file 2025-12-04T09:07:39.7396813Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2025-12-04T09:07:39.7398026Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file 2025-12-04T09:07:39.7404160Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0 2025-12-04T09:07:39.7405378Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file 2025-12-04T09:07:39.7413110Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0 2025-12-04T09:07:39.7414593Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file 2025-12-04T09:07:39.7426020Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2025-12-04T09:07:39.7427349Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file 2025-12-04T09:07:39.7433360Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1 2025-12-04T09:07:39.7434841Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file 2025-12-04T09:07:39.7443763Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2025-12-04T09:07:39.7445112Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file 2025-12-04T09:07:39.7454597Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2025-12-04T09:07:39.7455919Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file 2025-12-04T09:07:39.7457971Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1 2025-12-04T09:07:39.7459463Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file 2025-12-04T09:07:39.7469733Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2025-12-04T09:07:39.7471489Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file 2025-12-04T09:07:39.7479118Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2025-12-04T09:07:39.7480438Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file 2025-12-04T09:07:39.7488555Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2025-12-04T09:07:39.7489894Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file 2025-12-04T09:07:39.7501681Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2025-12-04T09:07:39.7503113Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file 2025-12-04T09:07:39.7524031Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0 2025-12-04T09:07:39.7525384Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file 2025-12-04T09:07:39.7552744Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2025-12-04T09:07:39.7554175Z * 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 2025-12-04T09:07:39.7555610Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2025-12-04T09:07:39.7556949Z * 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 2025-12-04T09:07:39.7570998Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0 2025-12-04T09:07:39.7572277Z * 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 2025-12-04T09:07:39.7581539Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0 2025-12-04T09:07:39.7582907Z * 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 2025-12-04T09:07:39.7584317Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2025-12-04T09:07:39.7585672Z * 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 2025-12-04T09:07:39.7587065Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0 2025-12-04T09:07:39.7588445Z * 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 2025-12-04T09:07:39.7590177Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2025-12-04T09:07:39.7591694Z * 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 2025-12-04T09:07:39.7593040Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0 2025-12-04T09:07:39.7594518Z * 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 2025-12-04T09:07:39.7595923Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2025-12-04T09:07:39.7597295Z * 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 2025-12-04T09:07:39.7598717Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0 2025-12-04T09:07:39.7600071Z * 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 2025-12-04T09:07:39.7601410Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0 2025-12-04T09:07:39.7602744Z * 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 2025-12-04T09:07:39.7604145Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2025-12-04T09:07:39.7605557Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2025-12-04T09:07:39.7640069Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2025-12-04T09:07:39.7641490Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file 2025-12-04T09:07:39.7650695Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2025-12-04T09:07:39.7652047Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file 2025-12-04T09:07:39.7659262Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2025-12-04T09:07:39.7660610Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file 2025-12-04T09:07:39.7665646Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2025-12-04T09:07:39.7666968Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file 2025-12-04T09:07:39.7673273Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2025-12-04T09:07:39.7674692Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file 2025-12-04T09:07:39.7698739Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2025-12-04T09:07:39.7700065Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file 2025-12-04T09:07:40.5128314Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2025-12-04T09:07:40.5692916Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file 2025-12-04T09:07:40.5704327Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2025-12-04T09:07:40.5716888Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file 2025-12-04T09:07:40.5718839Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2025-12-04T09:07:40.5720599Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file 2025-12-04T09:07:40.5739132Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2025-12-04T09:07:40.5740967Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file 2025-12-04T09:07:40.5747885Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2025-12-04T09:07:40.5749779Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file 2025-12-04T09:07:40.5755841Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2025-12-04T09:07:40.5757738Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file 2025-12-04T09:07:40.5761729Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2025-12-04T09:07:40.5763675Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file 2025-12-04T09:07:40.5770220Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2025-12-04T09:07:40.5772103Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file 2025-12-04T09:07:40.5778673Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2025-12-04T09:07:40.5780496Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file 2025-12-04T09:07:41.0237610Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2025-12-04T09:07:41.0805012Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file 2025-12-04T09:07:41.0817122Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2025-12-04T09:07:41.0818166Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file 2025-12-04T09:07:41.0823906Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2025-12-04T09:07:41.0824926Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file 2025-12-04T09:07:41.0846082Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2025-12-04T09:07:41.0848777Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2025-12-04T09:07:41.0852932Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2025-12-04T09:07:41.0854381Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file 2025-12-04T09:07:41.0860072Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2025-12-04T09:07:41.0861975Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file 2025-12-04T09:07:41.0866806Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2025-12-04T09:07:41.0868488Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file 2025-12-04T09:07:41.0914853Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2025-12-04T09:07:41.0916537Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file 2025-12-04T09:07:41.2672355Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2025-12-04T09:07:41.2765529Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file 2025-12-04T09:07:41.2779813Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2025-12-04T09:07:41.2781538Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file 2025-12-04T09:07:41.2803170Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0 2025-12-04T09:07:41.2804864Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file 2025-12-04T09:07:41.3358230Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2025-12-04T09:07:41.3359898Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file 2025-12-04T09:07:41.3369408Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2025-12-04T09:07:41.3371145Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file 2025-12-04T09:07:41.3404638Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2025-12-04T09:07:41.3488767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file 2025-12-04T09:07:41.4929265Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2025-12-04T09:07:41.5024587Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file 2025-12-04T09:07:41.5065490Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2025-12-04T09:07:41.5067457Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file 2025-12-04T09:07:41.5719212Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2025-12-04T09:07:41.5721113Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file 2025-12-04T09:07:41.5728909Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2025-12-04T09:07:41.5730597Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file 2025-12-04T09:07:41.5771268Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2025-12-04T09:07:41.5772961Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file 2025-12-04T09:07:41.7634230Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2025-12-04T09:07:41.7727252Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file 2025-12-04T09:07:41.7736223Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2025-12-04T09:07:41.7738019Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file 2025-12-04T09:07:41.7746553Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2025-12-04T09:07:41.7748420Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file 2025-12-04T09:07:41.7767001Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2025-12-04T09:07:41.7768845Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file 2025-12-04T09:07:41.7772778Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2025-12-04T09:07:41.7774672Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file 2025-12-04T09:07:41.7783445Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2025-12-04T09:07:41.7785294Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file 2025-12-04T09:07:41.7910485Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2025-12-04T09:07:41.7912226Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file 2025-12-04T09:07:41.7925274Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0 2025-12-04T09:07:41.7926766Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file 2025-12-04T09:07:41.8117164Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0 2025-12-04T09:07:41.8118716Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file 2025-12-04T09:07:41.8136145Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0 2025-12-04T09:07:41.8137708Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file 2025-12-04T09:07:41.8148369Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2025-12-04T09:07:41.8150046Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file 2025-12-04T09:07:41.8160945Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2025-12-04T09:07:41.8162512Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file 2025-12-04T09:07:41.8175479Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2025-12-04T09:07:41.8177062Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file 2025-12-04T09:07:41.8191459Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0 2025-12-04T09:07:41.8193257Z * 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 2025-12-04T09:07:41.8199565Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2025-12-04T09:07:41.8201412Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file 2025-12-04T09:07:41.8216857Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0 2025-12-04T09:07:41.8218732Z * 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 2025-12-04T09:07:41.8225888Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2025-12-04T09:07:41.8227792Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file 2025-12-04T09:07:42.6502980Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0 2025-12-04T09:07:42.6516686Z * 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 2025-12-04T09:07:42.6518572Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2025-12-04T09:07:42.6520407Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file 2025-12-04T09:07:42.7782919Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2025-12-04T09:07:42.7785060Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file 2025-12-04T09:07:43.0571861Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2025-12-04T09:07:43.0657936Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file 2025-12-04T09:07:43.0981738Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2025-12-04T09:07:43.0983774Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file 2025-12-04T09:07:43.1685042Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2025-12-04T09:07:43.1686865Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2025-12-04T09:07:43.1712827Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2025-12-04T09:07:43.1715191Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file 2025-12-04T09:07:43.1728416Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2025-12-04T09:07:43.1730471Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file 2025-12-04T09:07:43.1738697Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2025-12-04T09:07:43.1740691Z * 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 2025-12-04T09:07:43.1742681Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2025-12-04T09:07:43.1744695Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file 2025-12-04T09:07:43.1746756Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2025-12-04T09:07:43.1748864Z * 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 2025-12-04T09:07:43.1750995Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2025-12-04T09:07:43.1753174Z * 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 2025-12-04T09:07:43.1755667Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0 2025-12-04T09:07:43.1757991Z * 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 2025-12-04T09:07:43.1760486Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2025-12-04T09:07:43.1762836Z * 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 2025-12-04T09:07:43.1765356Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2025-12-04T09:07:43.1768245Z * 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 2025-12-04T09:07:43.1771041Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2025-12-04T09:07:43.1773424Z * 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 2025-12-04T09:07:43.1775863Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0 2025-12-04T09:07:43.1778065Z * 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 2025-12-04T09:07:43.1780191Z * 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 2025-12-04T09:07:43.1782078Z * 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 2025-12-04T09:07:43.1783848Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0 2025-12-04T09:07:43.1785792Z * 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 2025-12-04T09:07:43.1788077Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0 2025-12-04T09:07:43.1790090Z * 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 2025-12-04T09:07:43.1792072Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0 2025-12-04T09:07:43.1793936Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file 2025-12-04T09:07:43.1795979Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2025-12-04T09:07:43.1797890Z * 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 2025-12-04T09:07:43.1799794Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2025-12-04T09:07:43.1801527Z * 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 2025-12-04T09:07:43.1803495Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2025-12-04T09:07:43.1805431Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file 2025-12-04T09:07:43.1807149Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0 2025-12-04T09:07:43.1808808Z * 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 2025-12-04T09:07:43.1810714Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2025-12-04T09:07:43.1812724Z * 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 2025-12-04T09:07:43.1815176Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2025-12-04T09:07:43.1817128Z * 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 2025-12-04T09:07:43.1819060Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0 2025-12-04T09:07:43.1820810Z * 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 2025-12-04T09:07:43.1822531Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0 2025-12-04T09:07:43.1824330Z * 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 2025-12-04T09:07:43.1829972Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0 2025-12-04T09:07:43.1831794Z * 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 2025-12-04T09:07:43.1841524Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0 2025-12-04T09:07:43.1843267Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file 2025-12-04T09:07:43.1849556Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0 2025-12-04T09:07:43.1851234Z * 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 2025-12-04T09:07:43.1859903Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0 2025-12-04T09:07:43.1861568Z * 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 2025-12-04T09:07:43.1878567Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2025-12-04T09:07:43.1880299Z * 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 2025-12-04T09:07:43.1886128Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2025-12-04T09:07:43.1887693Z * 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 2025-12-04T09:07:43.1901852Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2025-12-04T09:07:43.1903589Z * 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 2025-12-04T09:07:43.1911215Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2025-12-04T09:07:43.1912859Z * 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 2025-12-04T09:07:43.1933001Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2025-12-04T09:07:43.1934807Z * 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 2025-12-04T09:07:43.1941562Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2025-12-04T09:07:43.1943748Z * 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 2025-12-04T09:07:43.1949800Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2025-12-04T09:07:43.1951727Z * 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 2025-12-04T09:07:43.1955377Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0 2025-12-04T09:07:43.1957204Z * 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 2025-12-04T09:07:43.1965793Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2025-12-04T09:07:43.1967666Z * 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 2025-12-04T09:07:43.1972697Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2025-12-04T09:07:43.1974487Z * 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 2025-12-04T09:07:43.1976497Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2025-12-04T09:07:43.1978710Z * 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 2025-12-04T09:07:43.1981339Z * 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 2025-12-04T09:07:43.1983448Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file 2025-12-04T09:07:43.1985273Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2025-12-04T09:07:43.1987091Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file 2025-12-04T09:07:43.1989028Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2025-12-04T09:07:43.1990832Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file 2025-12-04T09:07:43.1992598Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2025-12-04T09:07:43.1994553Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file 2025-12-04T09:07:43.1996381Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2025-12-04T09:07:43.1998134Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file 2025-12-04T09:07:43.1999971Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2025-12-04T09:07:43.2001902Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file 2025-12-04T09:07:43.2003690Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2025-12-04T09:07:43.2005692Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file 2025-12-04T09:07:43.2007440Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0 2025-12-04T09:07:43.2009227Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file 2025-12-04T09:07:43.2010916Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2025-12-04T09:07:43.2012585Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file 2025-12-04T09:07:43.2014652Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2025-12-04T09:07:43.2016465Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file 2025-12-04T09:07:43.2018470Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0 2025-12-04T09:07:43.2020377Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file 2025-12-04T09:07:43.2022231Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2025-12-04T09:07:43.2023985Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file 2025-12-04T09:07:43.2025865Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0 2025-12-04T09:07:43.2027822Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file 2025-12-04T09:07:43.2029901Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0 2025-12-04T09:07:43.2032098Z * 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 2025-12-04T09:07:43.2034510Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2025-12-04T09:07:43.2036706Z * 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 2025-12-04T09:07:43.2038864Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2025-12-04T09:07:43.2040849Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file 2025-12-04T09:07:43.2042697Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0 2025-12-04T09:07:43.2044498Z * 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 2025-12-04T09:07:43.2046503Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0 2025-12-04T09:07:43.2048722Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file 2025-12-04T09:07:43.2050779Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0 2025-12-04T09:07:43.2052572Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file 2025-12-04T09:07:43.2054395Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1 2025-12-04T09:07:43.2056092Z * 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 2025-12-04T09:07:43.2057760Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0 2025-12-04T09:07:43.2059444Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file 2025-12-04T09:07:43.2061147Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0 2025-12-04T09:07:43.2062781Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file 2025-12-04T09:07:43.2064673Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0 2025-12-04T09:07:43.2066702Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 317 <- wrt source file 2025-12-04T09:07:43.2068806Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0 2025-12-04T09:07:43.2070811Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0, line 659 <- wrt source file 2025-12-04T09:07:43.2072598Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0 2025-12-04T09:07:43.2074508Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 342 <- wrt source file 2025-12-04T09:07:43.2076633Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2025-12-04T09:07:43.2078536Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file 2025-12-04T09:07:43.2080475Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0 2025-12-04T09:07:43.2082274Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file 2025-12-04T09:07:43.2084118Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0 2025-12-04T09:07:43.2086005Z * 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 2025-12-04T09:07:43.2088040Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0 2025-12-04T09:07:43.2089996Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0, line 769 <- wrt source file 2025-12-04T09:07:43.2092071Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0 2025-12-04T09:07:43.2094143Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0, line 858 <- wrt source file 2025-12-04T09:07:43.2096113Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0 2025-12-04T09:07:43.2097902Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 4839 <- wrt source file 2025-12-04T09:07:43.2099946Z * SKIPPED: 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194 <- wrt source file 2025-12-04T09:07:43.2112046Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0 2025-12-04T09:07:43.2114373Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0, line 220 <- wrt source file 2025-12-04T09:07:43.2116568Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0 2025-12-04T09:07:43.2118722Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 341 <- wrt source file 2025-12-04T09:07:43.2121076Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0 2025-12-04T09:07:43.2123366Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file 2025-12-04T09:07:43.2125856Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0 2025-12-04T09:07:43.2128057Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0, line 159 <- wrt source file 2025-12-04T09:07:43.2130051Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0 2025-12-04T09:07:43.2131868Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 316 <- wrt source file 2025-12-04T09:07:43.2133620Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0 2025-12-04T09:07:43.2135347Z * 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 2025-12-04T09:07:43.2143948Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2025-12-04T09:07:43.2145750Z * 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 2025-12-04T09:07:43.2150021Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2025-12-04T09:07:43.2151820Z * 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 2025-12-04T09:07:43.2158931Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2025-12-04T09:07:43.2160694Z * 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 2025-12-04T09:07:43.2165289Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2025-12-04T09:07:43.2167096Z * 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 2025-12-04T09:07:43.2172293Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2025-12-04T09:07:43.2174071Z * 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 2025-12-04T09:07:43.2180573Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2025-12-04T09:07:43.2182369Z * 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 2025-12-04T09:07:43.2191655Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2025-12-04T09:07:43.2193394Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file 2025-12-04T09:07:43.2205453Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0 2025-12-04T09:07:43.2207190Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file 2025-12-04T09:07:43.2216675Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0 2025-12-04T09:07:43.2218496Z * 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 2025-12-04T09:07:43.2225349Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0 2025-12-04T09:07:43.2227100Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file 2025-12-04T09:07:43.2233964Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0 2025-12-04T09:07:43.2236029Z * 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 2025-12-04T09:07:43.2238169Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2025-12-04T09:07:43.2240360Z * 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 2025-12-04T09:07:43.2242634Z * 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 2025-12-04T09:07:43.2256543Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file 2025-12-04T09:07:43.2258593Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0 2025-12-04T09:07:43.2260665Z * 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 2025-12-04T09:07:43.2262898Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0 2025-12-04T09:07:43.2264820Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file 2025-12-04T09:07:43.2266651Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0 2025-12-04T09:07:43.2268471Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file 2025-12-04T09:07:43.2270231Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0 2025-12-04T09:07:43.2271917Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file 2025-12-04T09:07:43.2273854Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1 2025-12-04T09:07:43.2275884Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file 2025-12-04T09:07:43.2277857Z * SKIPPED: 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2025-12-04T09:07:43.2289965Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file 2025-12-04T09:07:43.2291217Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0 2025-12-04T09:07:43.2292451Z * 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 2025-12-04T09:07:43.2795946Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0 2025-12-04T09:07:43.2797131Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file 2025-12-04T09:07:43.2804183Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2025-12-04T09:07:43.2805280Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file 2025-12-04T09:07:43.2806530Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0 2025-12-04T09:07:43.2807584Z * 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 2025-12-04T09:07:43.2808657Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0 2025-12-04T09:07:43.2809762Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file 2025-12-04T09:07:43.2810967Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0 2025-12-04T09:07:43.2812048Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file 2025-12-04T09:07:43.2813086Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0 2025-12-04T09:07:43.2814432Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file 2025-12-04T09:07:43.2815610Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2025-12-04T09:07:43.2816710Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file 2025-12-04T09:07:43.2822537Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2025-12-04T09:07:43.2823637Z * 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 2025-12-04T09:07:43.2826865Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2025-12-04T09:07:43.2827958Z * 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 2025-12-04T09:07:43.2833059Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0 2025-12-04T09:07:43.2834239Z * 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 2025-12-04T09:07:43.2840190Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2025-12-04T09:07:43.2841510Z * 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 2025-12-04T09:07:43.2844081Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2025-12-04T09:07:43.2845256Z * 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 2025-12-04T09:07:43.2846453Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2025-12-04T09:07:43.2847693Z * 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 2025-12-04T09:07:43.2849062Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2025-12-04T09:07:43.2850356Z * 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 2025-12-04T09:07:43.2852436Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2025-12-04T09:07:43.2854862Z * 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 2025-12-04T09:07:43.2857125Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:07:43.2859406Z * 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 2025-12-04T09:07:43.2893014Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0 2025-12-04T09:07:43.2895373Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 89 <- wrt source file 2025-12-04T09:07:43.2897654Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0 2025-12-04T09:07:43.2899907Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 308 <- wrt source file 2025-12-04T09:07:43.2902206Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0 2025-12-04T09:07:43.2904502Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0, line 397 <- wrt source file 2025-12-04T09:07:43.2906981Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2025-12-04T09:07:43.2909116Z * 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 2025-12-04T09:07:43.2911524Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2025-12-04T09:07:43.2925693Z * 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 2025-12-04T09:07:43.2928084Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2025-12-04T09:07:43.2930706Z * 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 2025-12-04T09:07:43.2933156Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2025-12-04T09:07:43.2935323Z * 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 2025-12-04T09:07:43.2937665Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2025-12-04T09:07:43.2939952Z * 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 2025-12-04T09:07:43.2942086Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0 2025-12-04T09:07:43.2944092Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 102 <- wrt source file 2025-12-04T09:07:43.2946271Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0 2025-12-04T09:07:43.2948432Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0, line 169 <- wrt source file 2025-12-04T09:07:43.2950563Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0 2025-12-04T09:07:43.2952702Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 37 <- wrt source file 2025-12-04T09:07:43.2954965Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2025-12-04T09:07:43.2957113Z * 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 2025-12-04T09:07:43.2959368Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2025-12-04T09:07:43.2961539Z * 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 2025-12-04T09:07:43.2963742Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2025-12-04T09:07:43.2965830Z * 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 2025-12-04T09:07:43.2967881Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2025-12-04T09:07:43.2969977Z * 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 2025-12-04T09:07:43.2972423Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:07:43.2974525Z * 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 2025-12-04T09:07:43.2976786Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0 2025-12-04T09:07:43.2978841Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 76 <- wrt source file 2025-12-04T09:07:43.2981023Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0 2025-12-04T09:07:43.2983110Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 29 <- wrt source file 2025-12-04T09:07:43.2985327Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0 2025-12-04T09:07:43.2987502Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 29 <- wrt source file 2025-12-04T09:07:43.2989727Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2025-12-04T09:07:43.2991904Z * 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 2025-12-04T09:07:43.2994342Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2025-12-04T09:07:43.2996548Z * 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 2025-12-04T09:07:43.2998709Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2025-12-04T09:07:43.3000729Z * 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 2025-12-04T09:07:43.8588351Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2025-12-04T09:07:43.8590494Z * 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 2025-12-04T09:07:43.8592644Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2025-12-04T09:07:43.8594913Z * 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 2025-12-04T09:07:43.8597102Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2025-12-04T09:07:43.8599219Z * 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 2025-12-04T09:07:43.8601453Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2025-12-04T09:07:43.8603593Z * 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 2025-12-04T09:07:43.8606325Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2025-12-04T09:07:43.8608466Z * 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 2025-12-04T09:07:43.8610704Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2025-12-04T09:07:43.8612744Z * 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 2025-12-04T09:07:43.8615113Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2025-12-04T09:07:43.8616964Z * 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 2025-12-04T09:07:43.8618960Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2025-12-04T09:07:43.8620827Z * 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 2025-12-04T09:07:43.8622731Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0 2025-12-04T09:07:43.8624674Z * 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 2025-12-04T09:07:43.8626509Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0 2025-12-04T09:07:43.8628273Z * 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 2025-12-04T09:07:43.8630177Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0 2025-12-04T09:07:43.8631977Z * 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 2025-12-04T09:07:43.8633838Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2025-12-04T09:07:43.8635980Z * 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 2025-12-04T09:07:43.8637856Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2025-12-04T09:07:43.8639677Z * 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 2025-12-04T09:07:43.8641557Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2025-12-04T09:07:43.8643548Z * 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 2025-12-04T09:07:43.8645828Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2025-12-04T09:07:43.8648133Z * 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 2025-12-04T09:07:43.8650683Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2025-12-04T09:07:43.8653108Z * 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 2025-12-04T09:07:43.8655300Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2025-12-04T09:07:43.8657271Z * 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 2025-12-04T09:07:43.8659280Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2025-12-04T09:07:43.8660296Z ============ 2025-12-04T09:07:43.8660640Z Finished doctests 2025-12-04T09:07:43.8660935Z 378 / 894 passed 2025-12-04T09:07:43.8661220Z  2025-12-04T09:07:43.8661612Z === Found 17 parse-time warnings === 2025-12-04T09:07:43.8662168Z --- Parse Warning: 1 / 17 --- 2025-12-04T09:07:43.8663626Z /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. 2025-12-04T09:07:43.8665267Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:43.8666088Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:07:43.8666675Z 2025-12-04T09:07:43.8667101Z This function only works for a library with global namespace ("_"). 2025-12-04T09:07:43.8667649Z 2025-12-04T09:07:43.8667920Z Args: 2025-12-04T09:07:43.8668457Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:07:43.8669150Z to register a fallthrough. 2025-12-04T09:07:43.8669880Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:07:43.8670694Z the dispatch key that the library was created with. 2025-12-04T09:07:43.8671556Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:07:43.8672647Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:07:43.8673336Z 2025-12-04T09:07:43.8673599Z Example:: 2025-12-04T09:07:43.8673901Z 2025-12-04T09:07:43.8674331Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:07:43.8674826Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:07:43.8675319Z >>> # Handle all autocast ops generically 2025-12-04T09:07:43.8675753Z >>> # ... 2025-12-04T09:07:43.8676166Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:07:43.8676603Z 2025-12-04T09:07:43.8677608Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:07:43.8678692Z 2025-12-04T09:07:43.8679004Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:07:43.8679444Z ^ 2025-12-04T09:07:43.8679718Z warnings.warn(msg) 2025-12-04T09:07:43.8680034Z 2025-12-04T09:07:43.8680432Z --- Parse Warning: 2 / 17 --- 2025-12-04T09:07:43.8681872Z /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. 2025-12-04T09:07:43.8683694Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:43.8684488Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:07:43.8685051Z 2025-12-04T09:07:43.8685560Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:07:43.8686056Z 2025-12-04T09:07:43.8686529Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:07:43.8687329Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:07:43.8688104Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:07:43.8688748Z what the properties of the output Tensors are. 2025-12-04T09:07:43.8689204Z 2025-12-04T09:07:43.8689668Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:07:43.8690438Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:07:43.8691169Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:07:43.8691911Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:07:43.8692633Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:07:43.8693372Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:07:43.8694107Z (and may not directly access the storage or data of any input or 2025-12-04T09:07:43.8694659Z intermediate Tensors). 2025-12-04T09:07:43.8695009Z 2025-12-04T09:07:43.8695355Z This API may be used as a decorator (see examples). 2025-12-04T09:07:43.8695823Z 2025-12-04T09:07:43.8696142Z For a detailed guide on custom ops, please see 2025-12-04T09:07:43.8696788Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:07:43.8697366Z 2025-12-04T09:07:43.8697621Z Args: 2025-12-04T09:07:43.8698088Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:07:43.8698722Z func: Fake tensor implementation. 2025-12-04T09:07:43.8699298Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:07:43.8699968Z allow_override: Flag controlling if we want to override an 2025-12-04T09:07:43.8700604Z existing registered fake impl. This is by default off, 2025-12-04T09:07:43.8701220Z and will error you're trying to register a fake impl to 2025-12-04T09:07:43.8701846Z an operator that already has a fake impl. This also only 2025-12-04T09:07:43.8702456Z applies if the custom operator was not created via 2025-12-04T09:07:43.8703084Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:07:43.8703667Z impl is already allowed. 2025-12-04T09:07:43.8704087Z 2025-12-04T09:07:43.8704389Z Examples: 2025-12-04T09:07:43.8704714Z >>> import torch 2025-12-04T09:07:43.8705053Z >>> import numpy as np 2025-12-04T09:07:43.8705427Z >>> from torch import Tensor 2025-12-04T09:07:43.8705807Z >>> 2025-12-04T09:07:43.8706217Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:07:43.8706935Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:07:43.8707610Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:07:43.8708303Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:07:43.8708812Z >>> 2025-12-04T09:07:43.8709229Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:07:43.8709913Z >>> def _(x, weight, bias): 2025-12-04T09:07:43.8710319Z >>> assert x.dim() == 2 2025-12-04T09:07:43.8710741Z >>> assert weight.dim() == 2 2025-12-04T09:07:43.8711171Z >>> assert bias.dim() == 1 2025-12-04T09:07:43.8711617Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:07:43.8712212Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:07:43.8712721Z >>> assert x.device == weight.device 2025-12-04T09:07:43.8713360Z >>> 2025-12-04T09:07:43.8713704Z >>> return (x @ weight.t()) + bias 2025-12-04T09:07:43.8714215Z >>> 2025-12-04T09:07:43.8714673Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:07:43.8715168Z >>> x = torch.randn(2, 3) 2025-12-04T09:07:43.8715608Z >>> w = torch.randn(3, 3) 2025-12-04T09:07:43.8716053Z >>> b = torch.randn(3) 2025-12-04T09:07:43.8716539Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:07:43.8716990Z >>> 2025-12-04T09:07:43.8717326Z >>> assert y.shape == (2, 3) 2025-12-04T09:07:43.8717752Z >>> 2025-12-04T09:07:43.8718191Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:07:43.8718897Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:07:43.8719578Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:07:43.8720087Z >>> x_np = x.numpy(force=True) 2025-12-04T09:07:43.8720557Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:07:43.8721087Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:07:43.8721577Z >>> 2025-12-04T09:07:43.8722008Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:07:43.8722513Z >>> def _(x): 2025-12-04T09:07:43.8722943Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:07:43.8723579Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:07:43.8724223Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:07:43.8724832Z >>> # represents the data-dependent size. 2025-12-04T09:07:43.8725373Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:07:43.8725883Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:07:43.8726377Z >>> shape = [nnz, x.dim()] 2025-12-04T09:07:43.8726921Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:07:43.8727457Z >>> return result 2025-12-04T09:07:43.8727855Z >>> 2025-12-04T09:07:43.8728314Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:07:43.8728876Z >>> 2025-12-04T09:07:43.8729234Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:07:43.8729853Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:07:43.8730527Z >>> trace.print_readable() 2025-12-04T09:07:43.8730964Z >>> 2025-12-04T09:07:43.8731502Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:07:43.8732066Z 2025-12-04T09:07:43.8732310Z 2025-12-04T09:07:43.8733184Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:07:43.8734038Z 2025-12-04T09:07:43.8734286Z _._ = None 2025-12-04T09:07:43.8734569Z ^ 2025-12-04T09:07:43.8734837Z warnings.warn(msg) 2025-12-04T09:07:43.8735150Z 2025-12-04T09:07:43.8735635Z --- Parse Warning: 3 / 17 --- 2025-12-04T09:07:43.8737283Z /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. 2025-12-04T09:07:43.8738940Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:43.8739603Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:07:43.8739990Z 2025-12-04T09:07:43.8740438Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:07:43.8740945Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:07:43.8741428Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:07:43.8741886Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:07:43.8742367Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:07:43.8743001Z that calls into the original kernel for certain cases. 2025-12-04T09:07:43.8743412Z 2025-12-04T09:07:43.8743587Z Args: 2025-12-04T09:07:43.8743890Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:07:43.8744377Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:07:43.8744909Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:07:43.8745416Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:07:43.8745754Z 2025-12-04T09:07:43.8745928Z Returns: 2025-12-04T09:07:43.8746260Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:07:43.8746651Z call the kernel. 2025-12-04T09:07:43.8746889Z 2025-12-04T09:07:43.8747057Z Raises: 2025-12-04T09:07:43.8747301Z RuntimeError: If the operator does not exist. 2025-12-04T09:07:43.8747597Z 2025-12-04T09:07:43.8747771Z Example: 2025-12-04T09:07:43.8747992Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:07:43.8748378Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:07:43.8748720Z >>> 2025-12-04T09:07:43.8748947Z >>> # You can also use DispatchKey enum 2025-12-04T09:07:43.8749377Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:07:43.8749781Z >>> 2025-12-04T09:07:43.8750003Z >>> # Or use an OpOverload directly 2025-12-04T09:07:43.8750400Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:07:43.8750776Z >>> 2025-12-04T09:07:43.8751084Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:07:43.8751480Z >>> # Get the original kernel for torch.sin 2025-12-04T09:07:43.8751880Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:07:43.8752235Z >>> 2025-12-04T09:07:43.8752561Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:07:43.8752976Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:07:43.8753284Z >>> if (x < 0).any(): 2025-12-04T09:07:43.8753619Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:07:43.8754247Z >>> else: 2025-12-04T09:07:43.8754509Z >>> return torch.zeros_like(x) 2025-12-04T09:07:43.8754776Z >>> 2025-12-04T09:07:43.8755008Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:07:43.8755460Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:07:43.8755965Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:07:43.8756403Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:07:43.8756737Z >>> 2025-12-04T09:07:43.8757079Z >>> # Test the conditional behavior 2025-12-04T09:07:43.8757389Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:07:43.8757689Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:07:43.8757984Z >>> torch.sin(x_positive) 2025-12-04T09:07:43.8758250Z tensor([0., 0.]) 2025-12-04T09:07:43.8758600Z >>> torch.sin(x_mixed) 2025-12-04T09:07:43.8758851Z tensor([-0.8415, 0.9093]) 2025-12-04T09:07:43.8759097Z 2025-12-04T09:07:43.8759614Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:07:43.8760174Z 2025-12-04T09:07:43.8760428Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:07:43.8760752Z ^ 2025-12-04T09:07:43.8760932Z warnings.warn(msg) 2025-12-04T09:07:43.8761145Z 2025-12-04T09:07:43.8761448Z --- Parse Warning: 4 / 17 --- 2025-12-04T09:07:43.8762416Z /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. 2025-12-04T09:07:43.8763499Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:43.8764039Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:07:43.8764547Z required drivers are available and at least one device is visible. 2025-12-04T09:07:43.8764961Z See :ref:`accelerator` for details. 2025-12-04T09:07:43.8765253Z 2025-12-04T09:07:43.8765419Z Returns: 2025-12-04T09:07:43.8765774Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:07:43.8766179Z 2025-12-04T09:07:43.8766486Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:07:43.8767035Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:07:43.8767574Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:07:43.8768027Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:07:43.8768318Z 2025-12-04T09:07:43.8768490Z Example:: 2025-12-04T09:07:43.8768684Z 2025-12-04T09:07:43.8769016Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:43.8769420Z 2025-12-04T09:07:43.8769998Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:07:43.8770637Z 2025-12-04T09:07:43.8770960Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:43.8771369Z ^ 2025-12-04T09:07:43.8771639Z warnings.warn(msg) 2025-12-04T09:07:43.8771854Z 2025-12-04T09:07:43.8772110Z --- Parse Warning: 5 / 17 --- 2025-12-04T09:07:43.8773087Z /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. 2025-12-04T09:07:43.8774162Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:43.8774747Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:07:43.8775130Z 2025-12-04T09:07:43.8775296Z Args: 2025-12-04T09:07:43.8775686Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:07:43.8776257Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:07:43.8776737Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:07:43.8777190Z 2025-12-04T09:07:43.8777562Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:07:43.8777995Z 2025-12-04T09:07:43.8778171Z Example:: 2025-12-04T09:07:43.8778358Z 2025-12-04T09:07:43.8778659Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:07:43.8779120Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:43.8779586Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:07:43.8779930Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:07:43.8780229Z >>> start_event.record() 2025-12-04T09:07:43.8780713Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:07:43.8781123Z >>> sum = torch.sum(tensor) 2025-12-04T09:07:43.8781395Z >>> end_event.record() 2025-12-04T09:07:43.8781679Z >>> torch.accelerator.synchronize() 2025-12-04T09:07:43.8782040Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:07:43.8782354Z 2025-12-04T09:07:43.8782948Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:07:43.8783593Z 2025-12-04T09:07:43.8783927Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:43.8784375Z ^ 2025-12-04T09:07:43.8784641Z warnings.warn(msg) 2025-12-04T09:07:43.8784857Z 2025-12-04T09:07:43.8785131Z --- Parse Warning: 6 / 17 --- 2025-12-04T09:07:43.8786047Z /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. 2025-12-04T09:07:43.8787070Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:43.8787488Z Retrieves the CUDA runtime API module. 2025-12-04T09:07:43.8787744Z 2025-12-04T09:07:43.8787902Z 2025-12-04T09:07:43.8788222Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:07:43.8788738Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:07:43.8789235Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:07:43.8789596Z 2025-12-04T09:07:43.8789752Z Args: 2025-12-04T09:07:43.8789932Z ``None`` 2025-12-04T09:07:43.8790143Z 2025-12-04T09:07:43.8790300Z Returns: 2025-12-04T09:07:43.8790558Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:07:43.8790851Z 2025-12-04T09:07:43.8791013Z Raises: 2025-12-04T09:07:43.8791341Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:07:43.8802445Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:07:43.8802939Z 2025-12-04T09:07:43.8803161Z Example of CUDA operations with profiling: 2025-12-04T09:07:43.8803475Z >>> import torch 2025-12-04T09:07:43.8803757Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:07:43.8804058Z >>> import os 2025-12-04T09:07:43.8804276Z >>> 2025-12-04T09:07:43.8804490Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:07:43.8804758Z >>> 2025-12-04T09:07:43.8804997Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:07:43.8805321Z >>> stream = torch.cuda.Stream() 2025-12-04T09:07:43.8805633Z >>> with torch.cuda.stream(stream): 2025-12-04T09:07:43.8805955Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:07:43.8806409Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:07:43.8806705Z >>> z = torch.mul(x, y) 2025-12-04T09:07:43.8806974Z >>> return z 2025-12-04T09:07:43.8807194Z >>> 2025-12-04T09:07:43.8807404Z >>> torch.cuda.synchronize() 2025-12-04T09:07:43.8807798Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:07:43.8808147Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:07:43.8808490Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:07:43.8808853Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:07:43.8809207Z >>> print("CUDA operations completed.") 2025-12-04T09:07:43.8809559Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:07:43.8809920Z >>> print("====== End nsys profiling ======") 2025-12-04T09:07:43.8810204Z 2025-12-04T09:07:43.8810480Z To run this example and save the profiling information, execute: 2025-12-04T09:07:43.8811076Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:07:43.8811554Z 2025-12-04T09:07:43.8811873Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:07:43.8812363Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:07:43.8812846Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:07:43.8813645Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:07:43.8814112Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:07:43.8814548Z CSV file and print a summary, respectively. 2025-12-04T09:07:43.8814978Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:07:43.8815504Z overwrite of the output file if it already exists. 2025-12-04T09:07:43.8815896Z 2025-12-04T09:07:43.8816556Z 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)) 2025-12-04T09:07:43.8817262Z 2025-12-04T09:07:43.8817667Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:07:43.8818127Z ^ 2025-12-04T09:07:43.8818308Z warnings.warn(msg) 2025-12-04T09:07:43.8818519Z 2025-12-04T09:07:43.8818818Z --- Parse Warning: 7 / 17 --- 2025-12-04T09:07:43.8819731Z /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. 2025-12-04T09:07:43.8820738Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:43.8821130Z 2025-12-04T09:07:43.8821415Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:07:43.8821883Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:07:43.8822346Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:07:43.8822728Z vectorizing those operations. 2025-12-04T09:07:43.8822975Z 2025-12-04T09:07:43.8823255Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:07:43.8823710Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:07:43.8824183Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:07:43.8824651Z compute batched gradients when composed with autograd. 2025-12-04T09:07:43.8824957Z 2025-12-04T09:07:43.8825128Z .. note:: 2025-12-04T09:07:43.8825402Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:07:43.8825956Z convenience. Use whichever one you'd like. 2025-12-04T09:07:43.8826219Z 2025-12-04T09:07:43.8826383Z Args: 2025-12-04T09:07:43.8826670Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:07:43.8827041Z Must return one or more Tensors. 2025-12-04T09:07:43.8827534Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:07:43.8827965Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:07:43.8828390Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:07:43.8828812Z input is None, then that indicates there is no map dimension. 2025-12-04T09:07:43.8829149Z Default: 0. 2025-12-04T09:07:43.8829458Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:07:43.8829892Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:07:43.8830302Z it should have one element per output. Default: 0. 2025-12-04T09:07:43.8830696Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:07:43.8831129Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:07:43.8831588Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:07:43.8832046Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:07:43.8832509Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:07:43.8832960Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:07:43.8833359Z Python's random module or numpy randomness. 2025-12-04T09:07:43.8833772Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:07:43.8834386Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:07:43.8834914Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:07:43.8835467Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:07:43.8835851Z 2025-12-04T09:07:43.8836020Z Returns: 2025-12-04T09:07:43.8836308Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:07:43.8836727Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:07:43.8837149Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:07:43.8837575Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:07:43.8837926Z specified by ``out_dims``. 2025-12-04T09:07:43.8838158Z 2025-12-04T09:07:43.8838320Z .. warning: 2025-12-04T09:07:43.8838614Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:07:43.8839049Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:07:43.8839511Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:07:43.8840007Z Python data structures and assigning values to variables not captured 2025-12-04T09:07:43.8840374Z in ``func``. 2025-12-04T09:07:43.8840563Z 2025-12-04T09:07:43.8840866Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:07:43.8841358Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:07:43.8841834Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:07:43.8842189Z 2025-12-04T09:07:43.8842370Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:07:43.8842726Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:07:43.8843118Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:07:43.8843410Z >>> batched_dot(x, y) 2025-12-04T09:07:43.8843723Z 2025-12-04T09:07:43.8844009Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:07:43.8844395Z model authoring experience. 2025-12-04T09:07:43.8844625Z 2025-12-04T09:07:43.8844808Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:07:43.8845225Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:07:43.8845544Z >>> 2025-12-04T09:07:43.8845730Z >>> def model(feature_vec): 2025-12-04T09:07:43.8846026Z >>> # Very simple linear model with activation 2025-12-04T09:07:43.8846343Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:07:43.8846608Z >>> 2025-12-04T09:07:43.8846856Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:07:43.8847190Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:07:43.8847453Z 2025-12-04T09:07:43.8847759Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:07:43.8848286Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:07:43.8848788Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:07:43.8849281Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:07:43.8849803Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:07:43.8850326Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:07:43.8850722Z call to ``autograd.grad``. 2025-12-04T09:07:43.8850945Z 2025-12-04T09:07:43.8851111Z >>> # Setup 2025-12-04T09:07:43.8851299Z >>> N = 5 2025-12-04T09:07:43.8851492Z >>> f = lambda x: x**2 2025-12-04T09:07:43.8851750Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:07:43.8852023Z >>> y = f(x) 2025-12-04T09:07:43.8852231Z >>> I_N = torch.eye(N) 2025-12-04T09:07:43.8852455Z >>> 2025-12-04T09:07:43.8852647Z >>> # Sequential approach 2025-12-04T09:07:43.8852998Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:07:43.8853385Z >>> for v in I_N.unbind()] 2025-12-04T09:07:43.8853686Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:07:43.8853958Z >>> 2025-12-04T09:07:43.8854200Z >>> # vectorized gradient computation 2025-12-04T09:07:43.8854492Z >>> def get_vjp(v): 2025-12-04T09:07:43.8854748Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:07:43.8855054Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:07:43.8855316Z 2025-12-04T09:07:43.8855645Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:07:43.8856034Z 2025-12-04T09:07:43.8856215Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:07:43.8856488Z >>> batched_dot = torch.vmap( 2025-12-04T09:07:43.8856753Z ... torch.vmap(torch.dot) 2025-12-04T09:07:43.8857032Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:07:43.8857351Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:07:43.8857674Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:07:43.8857942Z 2025-12-04T09:07:43.8858248Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:07:43.8858688Z the dimension that each inputs are batched along as 2025-12-04T09:07:43.8858974Z 2025-12-04T09:07:43.8859154Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:07:43.8859523Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:07:43.8859920Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:07:43.8860201Z >>> batched_dot( 2025-12-04T09:07:43.8860413Z ... x, y 2025-12-04T09:07:43.8860700Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:07:43.8861119Z 2025-12-04T09:07:43.8861438Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:07:43.8861936Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:07:43.8862268Z 2025-12-04T09:07:43.8862449Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:07:43.8862942Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:07:43.8863351Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:07:43.8863635Z >>> batched_dot( 2025-12-04T09:07:43.8863839Z ... x, y 2025-12-04T09:07:43.8864125Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:07:43.8864490Z 2025-12-04T09:07:43.8864790Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:07:43.8865181Z matching the shape of the input: 2025-12-04T09:07:43.8865428Z 2025-12-04T09:07:43.8865648Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:07:43.8865977Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:07:43.8866256Z >>> input = {"x": x, "y": y} 2025-12-04T09:07:43.8866580Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:07:43.8866926Z >>> batched_dot(input) 2025-12-04T09:07:43.8867146Z 2025-12-04T09:07:43.8867484Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:07:43.8867933Z along any dimension by using ``out_dims`` 2025-12-04T09:07:43.8868200Z 2025-12-04T09:07:43.8868372Z >>> f = lambda x: x**2 2025-12-04T09:07:43.8868613Z >>> x = torch.randn(2, 5) 2025-12-04T09:07:43.8868892Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:07:43.8869180Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:07:43.8869414Z 2025-12-04T09:07:43.8869762Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:07:43.8870179Z accept kwargs 2025-12-04T09:07:43.8870366Z 2025-12-04T09:07:43.8870544Z >>> x = torch.randn([2, 5]) 2025-12-04T09:07:43.8870797Z >>> def fn(x, scale=4.): 2025-12-04T09:07:43.8871044Z >>> return x * scale 2025-12-04T09:07:43.8871273Z >>> 2025-12-04T09:07:43.8871464Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:07:43.8871773Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:07:43.8872186Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:07:43.8872545Z 2025-12-04T09:07:43.8872704Z .. note:: 2025-12-04T09:07:43.8873012Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:07:43.8873386Z sequences out of the box. 2025-12-04T09:07:43.8873615Z 2025-12-04T09:07:43.8874270Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:07:43.8874899Z 2025-12-04T09:07:43.8875055Z _._ = None 2025-12-04T09:07:43.8875235Z ^ 2025-12-04T09:07:43.8875414Z warnings.warn(msg) 2025-12-04T09:07:43.8875619Z 2025-12-04T09:07:43.8875898Z --- Parse Warning: 8 / 17 --- 2025-12-04T09:07:43.8876826Z /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. 2025-12-04T09:07:43.8877849Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:43.8878370Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:07:43.8878852Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:07:43.8879225Z compute higher-order gradients. 2025-12-04T09:07:43.8879573Z 2025-12-04T09:07:43.8879750Z Args: 2025-12-04T09:07:43.8880050Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:07:43.8880566Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:07:43.8881212Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:07:43.8881641Z ``(output, aux)``. 2025-12-04T09:07:43.8882055Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:07:43.8882570Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:07:43.8883048Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:07:43.8883488Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:07:43.8883796Z 2025-12-04T09:07:43.8883987Z Returns: 2025-12-04T09:07:43.8884379Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:07:43.8884930Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:07:43.8885468Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:07:43.8886030Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:07:43.8886473Z respect to each ``argnums`` value is returned. 2025-12-04T09:07:43.8886761Z 2025-12-04T09:07:43.8886938Z Example of using ``grad``: 2025-12-04T09:07:43.8887175Z 2025-12-04T09:07:43.8887356Z >>> # xdoctest: +SKIP 2025-12-04T09:07:43.8887611Z >>> from torch.func import grad 2025-12-04T09:07:43.8887888Z >>> x = torch.randn([]) 2025-12-04T09:07:43.8888171Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:07:43.8888489Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:07:43.8888769Z >>> 2025-12-04T09:07:43.8888976Z >>> # Second-order gradients 2025-12-04T09:07:43.8889291Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:07:43.8889642Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:07:43.8889926Z 2025-12-04T09:07:43.8890246Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:07:43.8890638Z 2025-12-04T09:07:43.8890822Z >>> # xdoctest: +SKIP 2025-12-04T09:07:43.8891097Z >>> from torch.func import grad, vmap 2025-12-04T09:07:43.8891396Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:07:43.8891661Z >>> 2025-12-04T09:07:43.8891875Z >>> def model(weights, feature_vec): 2025-12-04T09:07:43.8892191Z >>> # Very simple linear model with activation 2025-12-04T09:07:43.8892510Z >>> assert feature_vec.dim() == 1 2025-12-04T09:07:43.8892819Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:07:43.8893092Z >>> 2025-12-04T09:07:43.8893333Z >>> def compute_loss(weights, example, target): 2025-12-04T09:07:43.8893655Z >>> y = model(weights, example) 2025-12-04T09:07:43.8893982Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:07:43.8894264Z >>> 2025-12-04T09:07:43.8894532Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:07:43.8894925Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:07:43.8895256Z >>> targets = torch.randn(batch_size) 2025-12-04T09:07:43.8895571Z >>> inputs = (weights, examples, targets) 2025-12-04T09:07:43.8895983Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:07:43.8896445Z ... *inputs 2025-12-04T09:07:43.8896805Z ... ) 2025-12-04T09:07:43.8896993Z 2025-12-04T09:07:43.8897246Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:07:43.8897559Z 2025-12-04T09:07:43.8897743Z >>> # xdoctest: +SKIP 2025-12-04T09:07:43.8898012Z >>> from torch.func import grad 2025-12-04T09:07:43.8898379Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:07:43.8898689Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:07:43.8899006Z >>> loss = loss_per_sample.mean() 2025-12-04T09:07:43.8899319Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:07:43.8899601Z >>> 2025-12-04T09:07:43.8899849Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:07:43.8900171Z >>> y_true = torch.rand(4) 2025-12-04T09:07:43.8900473Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:07:43.8900783Z >>> out = fn(y_true, y_preds) 2025-12-04T09:07:43.8901191Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:07:43.8901567Z 2025-12-04T09:07:43.8901734Z .. note:: 2025-12-04T09:07:43.8902004Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:07:43.8902309Z 2025-12-04T09:07:43.8902545Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:07:43.8902836Z 2025-12-04T09:07:43.8903014Z >>> # xdoctest: +SKIP 2025-12-04T09:07:43.8903268Z >>> def f(x): 2025-12-04T09:07:43.8903516Z >>> with torch.no_grad(): 2025-12-04T09:07:43.8903785Z >>> c = x ** 2 2025-12-04T09:07:43.8904065Z >>> return x - c 2025-12-04T09:07:43.8904325Z 2025-12-04T09:07:43.8904592Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:07:43.8904925Z 2025-12-04T09:07:43.8905186Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:07:43.8905519Z 2025-12-04T09:07:43.8905699Z >>> # xdoctest: +SKIP 2025-12-04T09:07:43.8905968Z >>> with torch.no_grad(): 2025-12-04T09:07:43.8906231Z >>> grad(f)(x) 2025-12-04T09:07:43.8906453Z 2025-12-04T09:07:43.8906752Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:07:43.8907243Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:07:43.8907725Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:07:43.8908083Z 2025-12-04T09:07:43.8908244Z 2025-12-04T09:07:43.8908799Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:07:43.8909400Z 2025-12-04T09:07:43.8909561Z _._ = None 2025-12-04T09:07:43.8909747Z ^ 2025-12-04T09:07:43.8909920Z warnings.warn(msg) 2025-12-04T09:07:43.8910133Z 2025-12-04T09:07:43.8910417Z --- Parse Warning: 9 / 17 --- 2025-12-04T09:07:43.8911444Z /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. 2025-12-04T09:07:43.8912589Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:43.8913069Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:07:43.8913690Z 2025-12-04T09:07:43.8914004Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:07:43.8914539Z 2025-12-04T09:07:43.8914827Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:07:43.8915312Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:07:43.8915914Z Given some input Tensors with certain properties 2025-12-04T09:07:43.8916368Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:07:43.8916779Z the output Tensors are. 2025-12-04T09:07:43.8917015Z 2025-12-04T09:07:43.8917408Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:07:43.8917758Z 2025-12-04T09:07:43.8917913Z Args: 2025-12-04T09:07:43.8918186Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:07:43.8918525Z implementation. 2025-12-04T09:07:43.8918756Z 2025-12-04T09:07:43.8918925Z Examples: 2025-12-04T09:07:43.8919139Z >>> import torch 2025-12-04T09:07:43.8919388Z >>> import numpy as np 2025-12-04T09:07:43.8919665Z >>> from torch import Tensor 2025-12-04T09:07:43.8919930Z >>> 2025-12-04T09:07:43.8920213Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:07:43.8920650Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:07:43.8921084Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:07:43.8921466Z >>> return (x @ weight.t()) + bias 2025-12-04T09:07:43.8921728Z >>> 2025-12-04T09:07:43.8921945Z >>> @linear.register_fake 2025-12-04T09:07:43.8922221Z >>> def _(x, weight, bias): 2025-12-04T09:07:43.8922487Z >>> assert x.dim() == 2 2025-12-04T09:07:43.8922773Z >>> assert weight.dim() == 2 2025-12-04T09:07:43.8923059Z >>> assert bias.dim() == 1 2025-12-04T09:07:43.8923366Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:07:43.8923691Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:07:43.8924020Z >>> assert x.device == weight.device 2025-12-04T09:07:43.8924355Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:07:43.8924646Z >>> 2025-12-04T09:07:43.8924855Z >>> x = torch.randn(2, 2) 2025-12-04T09:07:43.8925140Z >>> weight = torch.randn(2, 2) 2025-12-04T09:07:43.8925414Z >>> bias = torch.randn(2) 2025-12-04T09:07:43.8925714Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:43.8926105Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:07:43.8926495Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:43.8926925Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:07:43.8927311Z >>> 2025-12-04T09:07:43.8927588Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:07:43.8928018Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:07:43.8928396Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:07:43.8928691Z >>> x_np = x.cpu().numpy() 2025-12-04T09:07:43.8928997Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:07:43.8929336Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:07:43.8929623Z >>> 2025-12-04T09:07:43.8929838Z >>> @nonzero.register_fake 2025-12-04T09:07:43.8930103Z >>> def _(x): 2025-12-04T09:07:43.8930392Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:07:43.8930776Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:07:43.8931155Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:07:43.8931510Z >>> # represents the data-dependent size. 2025-12-04T09:07:43.8938874Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:07:43.8939230Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:07:43.8939525Z >>> shape = [nnz, x.dim()] 2025-12-04T09:07:43.8939849Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:07:43.8940279Z >>> return result 2025-12-04T09:07:43.8940515Z >>> 2025-12-04T09:07:43.8940737Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:07:43.8941057Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:43.8941409Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:07:43.8941751Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:43.8942088Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:07:43.8942370Z 2025-12-04T09:07:43.8942524Z 2025-12-04T09:07:43.8943083Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:07:43.8943683Z 2025-12-04T09:07:43.8943844Z _._ = None 2025-12-04T09:07:43.8944032Z ^ 2025-12-04T09:07:43.8944240Z warnings.warn(msg) 2025-12-04T09:07:43.8944452Z 2025-12-04T09:07:43.8944764Z --- Parse Warning: 10 / 17 --- 2025-12-04T09:07:43.8945782Z /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. 2025-12-04T09:07:43.8946908Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:07:43.8947290Z 2025-12-04T09:07:43.8947581Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:07:43.8948097Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:07:43.8948463Z 2025-12-04T09:07:43.8948736Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:07:43.8949218Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:07:43.8949691Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:07:43.8950159Z information we will match a given input to the recorded profile, and return 2025-12-04T09:07:43.8950656Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:07:43.8951069Z doesn't exist then an exception will be thrown. 2025-12-04T09:07:43.8951341Z 2025-12-04T09:07:43.8951627Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:07:43.8952121Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:07:43.8952631Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:07:43.8953163Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:07:43.8953693Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:07:43.8954357Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:07:43.8954841Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:07:43.8955205Z potentially unsafe. 2025-12-04T09:07:43.8955407Z 2025-12-04T09:07:43.8955563Z Args: 2025-12-04T09:07:43.8955843Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:07:43.8956299Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:07:43.8956635Z kernels. 2025-12-04T09:07:43.8956821Z 2025-12-04T09:07:43.8956981Z Examples: 2025-12-04T09:07:43.8957157Z 2025-12-04T09:07:43.8957396Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:07:43.8957814Z >>> import torch 2025-12-04T09:07:43.8958092Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:07:43.8958386Z >>> 2025-12-04T09:07:43.8958649Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:07:43.8959082Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:07:43.8959365Z >>> return x + y 2025-12-04T09:07:43.8959574Z >>> 2025-12-04T09:07:43.8959770Z >>> class M(torch.nn.Module): 2025-12-04T09:07:43.8960040Z >>> def forward(self, a, b): 2025-12-04T09:07:43.8960342Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:07:43.8960643Z >>> return res 2025-12-04T09:07:43.8960859Z >>> 2025-12-04T09:07:43.8961100Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:07:43.8961408Z >>> 2025-12-04T09:07:43.8961769Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:07:43.8962226Z >>> decomp = ep.run_decompositions() 2025-12-04T09:07:43.8962486Z 2025-12-04T09:07:43.8962634Z 2025-12-04T09:07:43.8963130Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:07:43.8963688Z 2025-12-04T09:07:43.8963854Z warnings.warn(msg) 2025-12-04T09:07:43.8964057Z 2025-12-04T09:07:43.8964319Z --- Parse Warning: 11 / 17 --- 2025-12-04T09:07:43.8965513Z /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. 2025-12-04T09:07:43.8966797Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:43.8967176Z 2025-12-04T09:07:43.8967490Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:07:43.8968008Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:07:43.8968515Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:07:43.8968900Z input by the user. 2025-12-04T09:07:43.8969222Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:07:43.8969648Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:07:43.8969937Z 2025-12-04T09:07:43.8970096Z Note:: 2025-12-04T09:07:43.8970464Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:07:43.8970898Z 2025-12-04T09:07:43.8971055Z Args: 2025-12-04T09:07:43.8971227Z model (nn.Module): 2025-12-04T09:07:43.8971565Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:07:43.8972069Z sparsified should be added separately using the register_layer() function 2025-12-04T09:07:43.8972468Z aggregate_fn (Optional, Callable): 2025-12-04T09:07:43.8972879Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:07:43.8973344Z specifies how inputs should be aggregated over time. 2025-12-04T09:07:43.8973824Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:07:43.8974265Z Example 2025-12-04T09:07:43.8974542Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:07:43.8974890Z reduce_fn (Optional, Callable): 2025-12-04T09:07:43.8975288Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:07:43.8975812Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:07:43.8976320Z calling agg_fn() on all inputs. 2025-12-04T09:07:43.8976592Z Example 2025-12-04T09:07:43.8976899Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:07:43.8977263Z mask_fn (Optional, Callable): 2025-12-04T09:07:43.8977788Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:07:43.8978360Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:07:43.8978760Z register_layer(). 2025-12-04T09:07:43.8979233Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:07:43.8979702Z arguments. 2025-12-04T09:07:43.8979944Z features (Optional, list): 2025-12-04T09:07:43.8980240Z default selected features to sparsify. 2025-12-04T09:07:43.8980688Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:07:43.8981090Z For example, 2025-12-04T09:07:43.8981463Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:07:43.8981878Z feature_dim (Optional, int): 2025-12-04T09:07:43.8982303Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:07:43.8982717Z for sparsification. 2025-12-04T09:07:43.8982985Z sparse_config (Dict): 2025-12-04T09:07:43.8983347Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:07:43.8983713Z with the mask_fn() 2025-12-04T09:07:43.8983950Z 2025-12-04T09:07:43.8984109Z Example: 2025-12-04T09:07:43.8984294Z >>> # xdoctest: +SKIP 2025-12-04T09:07:43.8984533Z >>> model = SomeModel() 2025-12-04T09:07:43.8984903Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:07:43.8985295Z >>> # Initialize aggregate_fn 2025-12-04T09:07:43.8985551Z >>> def agg_fn(x, y): 2025-12-04T09:07:43.8985778Z >>> return x + y 2025-12-04T09:07:43.8985995Z >>> 2025-12-04T09:07:43.8986177Z >>> # Initialize reduce_fn 2025-12-04T09:07:43.8986421Z >>> def reduce_fn(x): 2025-12-04T09:07:43.8986664Z >>> return torch.mean(x, dim=0) 2025-12-04T09:07:43.8986913Z >>> 2025-12-04T09:07:43.8987094Z >>> # Initialize mask_fn 2025-12-04T09:07:43.8987329Z >>> def mask_fn(data): 2025-12-04T09:07:43.8987598Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:07:43.8987881Z >>> 2025-12-04T09:07:43.8988043Z >>> 2025-12-04T09:07:43.8988235Z >>> act_sparsifier.register_layer( 2025-12-04T09:07:43.8988511Z ... model.some_layer, 2025-12-04T09:07:43.8988754Z ... aggregate_fn=agg_fn, 2025-12-04T09:07:43.8989002Z ... reduce_fn=reduce_fn, 2025-12-04T09:07:43.8989249Z ... mask_fn=mask_fn, 2025-12-04T09:07:43.8989467Z ... ) 2025-12-04T09:07:43.8989632Z >>> 2025-12-04T09:07:43.8989814Z >>> # start training process 2025-12-04T09:07:43.8990064Z >>> for _ in [...]: 2025-12-04T09:07:43.8990287Z >>> # epoch starts 2025-12-04T09:07:43.8990570Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:07:43.8990888Z >>> # epoch ends 2025-12-04T09:07:43.8991113Z >>> act_sparsifier.step() 2025-12-04T09:07:43.8991368Z >>> # end training process 2025-12-04T09:07:43.8991622Z >>> sparsifier.squash_mask() 2025-12-04T09:07:43.8991862Z 2025-12-04T09:07:43.8992374Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:07:43.8993036Z 2025-12-04T09:07:43.8993195Z _._ = None 2025-12-04T09:07:43.8993365Z ^ 2025-12-04T09:07:43.8993535Z warnings.warn(msg) 2025-12-04T09:07:43.8993735Z 2025-12-04T09:07:43.8993989Z --- Parse Warning: 12 / 17 --- 2025-12-04T09:07:43.8995208Z /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. 2025-12-04T09:07:43.8996310Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:43.8996687Z 2025-12-04T09:07:43.8997004Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:07:43.8997562Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:07:43.8997962Z ``mesh_dim_names`` 2025-12-04T09:07:43.8998159Z 2025-12-04T09:07:43.8998315Z Args: 2025-12-04T09:07:43.8998619Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:07:43.8999080Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:07:43.8999399Z Returns: 2025-12-04T09:07:43.8999596Z A :class:`DeviceMesh` object 2025-12-04T09:07:43.8999834Z 2025-12-04T09:07:43.9000156Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:07:43.9000572Z In the first example: 2025-12-04T09:07:43.9000930Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:07:43.9001445Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:07:43.9001934Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:07:43.9002409Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:07:43.9002886Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:07:43.9003355Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:07:43.9003695Z 2025-12-04T09:07:43.9003864Z In the second example: 2025-12-04T09:07:43.9004241Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:07:43.9004781Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:07:43.9005320Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:07:43.9005858Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:07:43.9006234Z 2025-12-04T09:07:43.9006393Z Example:: 2025-12-04T09:07:43.9006574Z 2025-12-04T09:07:43.9006757Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:07:43.9007180Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:07:43.9007492Z >>> 2025-12-04T09:07:43.9007773Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:07:43.9008169Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:07:43.9008607Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:07:43.9009012Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:07:43.9009277Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:07:43.9009507Z >>> 2025-12-04T09:07:43.9009694Z >>> # Initialize a 3D mesh. 2025-12-04T09:07:43.9010103Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:07:43.9010691Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:07:43.9011261Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:07:43.9011548Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:07:43.9011796Z 2025-12-04T09:07:43.9012545Z 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)) 2025-12-04T09:07:43.9013530Z 2025-12-04T09:07:43.9013907Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:07:43.9014369Z ^ 2025-12-04T09:07:43.9014663Z warnings.warn(msg) 2025-12-04T09:07:43.9014876Z 2025-12-04T09:07:43.9015149Z --- Parse Warning: 13 / 17 --- 2025-12-04T09:07:43.9016161Z /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. 2025-12-04T09:07:43.9017284Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:43.9017663Z 2025-12-04T09:07:43.9017999Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:07:43.9018416Z 2025-12-04T09:07:43.9018760Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:07:43.9019173Z 2025-12-04T09:07:43.9019509Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:07:43.9019947Z will be visible to the whole process. 2025-12-04T09:07:43.9020208Z 2025-12-04T09:07:43.9020537Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:07:43.9020942Z 2025-12-04T09:07:43.9021143Z 1) set_up_planner - called on all ranks. 2025-12-04T09:07:43.9021452Z Signals the start of a checkpoint save. 2025-12-04T09:07:43.9021721Z 2025-12-04T09:07:43.9021927Z 2) create_local_plan - called on all ranks. 2025-12-04T09:07:43.9022375Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:07:43.9022784Z 2025-12-04T09:07:43.9023045Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:07:43.9023473Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:07:43.9023809Z 2025-12-04T09:07:43.9024002Z 4) finish_plan - called on all ranks. 2025-12-04T09:07:43.9024407Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:07:43.9024777Z 2025-12-04T09:07:43.9025008Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:07:43.9025413Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:07:43.9025752Z 2025-12-04T09:07:43.9026111Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:07:43.9026630Z most changes can be expressed by changes in a single method. 2025-12-04T09:07:43.9026942Z 2025-12-04T09:07:43.9027139Z There are 3 usual patterns of extension: 2025-12-04T09:07:43.9027400Z 2025-12-04T09:07:43.9027711Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:07:43.9028227Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:07:43.9028585Z 2025-12-04T09:07:43.9028777Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:43.9029081Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:07:43.9029380Z >>> def set_up_planner( 2025-12-04T09:07:43.9029613Z >>> self, 2025-12-04T09:07:43.9029833Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:07:43.9030135Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:07:43.9030603Z >>> is_coordinator: bool, 2025-12-04T09:07:43.9030848Z >>> ) -> None: 2025-12-04T09:07:43.9031072Z >>> # prefix all keys with `foo_`` 2025-12-04T09:07:43.9031511Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:07:43.9031920Z 2025-12-04T09:07:43.9032409Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:07:43.9032859Z 2025-12-04T09:07:43.9033051Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:43.9033351Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:07:43.9033648Z >>> def create_local_plan(self): 2025-12-04T09:07:43.9033938Z >>> plan = super().create_local_plan() 2025-12-04T09:07:43.9034345Z >>> for p in plan: 2025-12-04T09:07:43.9034607Z >>> if p.tensor_data is not None: 2025-12-04T09:07:43.9034948Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:07:43.9035268Z >>> return plan 2025-12-04T09:07:43.9035486Z >>> 2025-12-04T09:07:43.9035686Z >>> def resolve_data(self, write_item): 2025-12-04T09:07:43.9035993Z >>> item = super().resolve_data(write_item) 2025-12-04T09:07:43.9036439Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:07:43.9036841Z 2025-12-04T09:07:43.9037230Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:07:43.9037682Z 2025-12-04T09:07:43.9037874Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:43.9038162Z >>> from itertools import zip_longest 2025-12-04T09:07:43.9038441Z >>> from dataclasses import replace 2025-12-04T09:07:43.9038779Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:07:43.9039263Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:07:43.9039717Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:07:43.9040035Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:07:43.9040571Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:07:43.9040886Z >>> items_per_rank = [ 2025-12-04T09:07:43.9041174Z >>> [item for item in items if item is not None] 2025-12-04T09:07:43.9041529Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:07:43.9041836Z >>> ] 2025-12-04T09:07:43.9042028Z >>> all_plans = [ 2025-12-04T09:07:43.9042283Z >>> replace(plan, items=items) 2025-12-04T09:07:43.9042645Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:07:43.9042980Z >>> ] 2025-12-04T09:07:43.9043218Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:07:43.9043508Z 2025-12-04T09:07:43.9043832Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:07:43.9044389Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:07:43.9044821Z the global planner aggregate them: 2025-12-04T09:07:43.9045076Z 2025-12-04T09:07:43.9045268Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:43.9045600Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:07:43.9045949Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:07:43.9046262Z >>> plan = super().create_local_plan() 2025-12-04T09:07:43.9046601Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:07:43.9046905Z >>> 2025-12-04T09:07:43.9047260Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:07:43.9047780Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:07:43.9048293Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:07:43.9048681Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:07:43.9049021Z >>> return global_plan, metadata 2025-12-04T09:07:43.9049276Z 2025-12-04T09:07:43.9049898Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:07:43.9050505Z 2025-12-04T09:07:43.9050661Z _._ = None 2025-12-04T09:07:43.9050838Z ^ 2025-12-04T09:07:43.9051016Z warnings.warn(msg) 2025-12-04T09:07:43.9051222Z 2025-12-04T09:07:43.9051495Z --- Parse Warning: 14 / 17 --- 2025-12-04T09:07:43.9052513Z /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. 2025-12-04T09:07:43.9053627Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:43.9054000Z 2025-12-04T09:07:43.9054341Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:07:43.9054754Z 2025-12-04T09:07:43.9055095Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:07:43.9055509Z 2025-12-04T09:07:43.9055845Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:07:43.9056278Z will be visible to the whole process. 2025-12-04T09:07:43.9056538Z 2025-12-04T09:07:43.9056872Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:07:43.9057375Z 2025-12-04T09:07:43.9057645Z 1) set_up_planner - called on all ranks. 2025-12-04T09:07:43.9057958Z Signals the start of loading a checkpoint. 2025-12-04T09:07:43.9058236Z 2025-12-04T09:07:43.9058432Z 2) create_local_plan - called on all ranks. 2025-12-04T09:07:43.9058885Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:07:43.9059292Z 2025-12-04T09:07:43.9059540Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:07:43.9059972Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:07:43.9060303Z 2025-12-04T09:07:43.9060516Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:07:43.9060883Z This is called once per non-tensor value in state_dict. 2025-12-04T09:07:43.9060948Z 2025-12-04T09:07:43.9061146Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:07:43.9061304Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:07:43.9061376Z 2025-12-04T09:07:43.9061639Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:07:43.9061800Z most changes can be expressed by changes in a single method. 2025-12-04T09:07:43.9061870Z 2025-12-04T09:07:43.9061980Z There are two usual patterns of extension: 2025-12-04T09:07:43.9062044Z 2025-12-04T09:07:43.9062269Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:07:43.9062493Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:07:43.9062695Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:07:43.9062802Z we need to be able to perform it in place 2025-12-04T09:07:43.9062866Z 2025-12-04T09:07:43.9062970Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:43.9063087Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:07:43.9063170Z >>> def set_up_planner( 2025-12-04T09:07:43.9063246Z >>> self, 2025-12-04T09:07:43.9063342Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:07:43.9063529Z >>> metadata: Metadata, 2025-12-04T09:07:43.9063624Z >>> is_coordinator: bool, 2025-12-04T09:07:43.9063697Z >>> ) -> None: 2025-12-04T09:07:43.9063808Z >>> self.original_state_dict = state_dict 2025-12-04T09:07:43.9063967Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:07:43.9064134Z >>> 2025-12-04T09:07:43.9064245Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:07:43.9064379Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:07:43.9064444Z >>> 2025-12-04T09:07:43.9064543Z >>> if self.flatten_state_dict: 2025-12-04T09:07:43.9064704Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:07:43.9064770Z >>> 2025-12-04T09:07:43.9064871Z >>> self.state_dict = state_dict 2025-12-04T09:07:43.9064962Z >>> self.metadata = metadata 2025-12-04T09:07:43.9065077Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:07:43.9065149Z >>> 2025-12-04T09:07:43.9065257Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:07:43.9065350Z >>> # Remove the "foo_" prefix 2025-12-04T09:07:43.9065626Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:07:43.9065695Z 2025-12-04T09:07:43.9065764Z 2025-12-04T09:07:43.9065990Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:07:43.9066053Z 2025-12-04T09:07:43.9066159Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:43.9066300Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:07:43.9066400Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:07:43.9066520Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:07:43.9066648Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:07:43.9066723Z >>> 2025-12-04T09:07:43.9066835Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:07:43.9066975Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:07:43.9067045Z 2025-12-04T09:07:43.9067503Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:07:43.9067566Z 2025-12-04T09:07:43.9067640Z _._ = None 2025-12-04T09:07:43.9067705Z ^ 2025-12-04T09:07:43.9067786Z warnings.warn(msg) 2025-12-04T09:07:43.9067855Z 2025-12-04T09:07:43.9068035Z --- Parse Warning: 15 / 17 --- 2025-12-04T09:07:43.9068845Z /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. 2025-12-04T09:07:43.9069059Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:43.9069129Z 2025-12-04T09:07:43.9069312Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:07:43.9069482Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:07:43.9069657Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:07:43.9069863Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:07:43.9070032Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:07:43.9070105Z follows: 2025-12-04T09:07:43.9070168Z 2025-12-04T09:07:43.9070282Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:07:43.9070498Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:07:43.9070609Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:07:43.9070786Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:07:43.9071073Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:07:43.9071167Z >>> state = fsdp.state_dict() 2025-12-04T09:07:43.9071351Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:07:43.9071638Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:07:43.9071842Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:07:43.9078826Z >>> if dist.get_rank() == 0: 2025-12-04T09:07:43.9079031Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:07:43.9079161Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:07:43.9079267Z >>> model.load_state_dict(state_dict) 2025-12-04T09:07:43.9079476Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:07:43.9079691Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:07:43.9079771Z >>> fsdp = FSDP( 2025-12-04T09:07:43.9079846Z ... model, 2025-12-04T09:07:43.9079962Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:07:43.9080049Z ... auto_wrap_policy=..., 2025-12-04T09:07:43.9080144Z ... sync_module_states=True, 2025-12-04T09:07:43.9080208Z ... ) 2025-12-04T09:07:43.9080402Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:07:43.9080468Z 2025-12-04T09:07:43.9080540Z Attributes: 2025-12-04T09:07:43.9080712Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:07:43.9080885Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:07:43.9081026Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:07:43.9081098Z 2025-12-04T09:07:43.9081517Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:07:43.9081582Z 2025-12-04T09:07:43.9081652Z _._ = None 2025-12-04T09:07:43.9081714Z ^ 2025-12-04T09:07:43.9081797Z warnings.warn(msg) 2025-12-04T09:07:43.9081859Z 2025-12-04T09:07:43.9082069Z --- Parse Warning: 16 / 17 --- 2025-12-04T09:07:43.9082883Z /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. 2025-12-04T09:07:43.9083099Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:43.9083232Z Register a parametrization to a tensor in a module. 2025-12-04T09:07:43.9083297Z 2025-12-04T09:07:43.9083539Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:07:43.9083784Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:07:43.9084010Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:07:43.9084296Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:07:43.9084383Z 2025-12-04T09:07:43.9084651Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:07:43.9084865Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:07:43.9084930Z 2025-12-04T09:07:43.9085146Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:07:43.9085259Z ``module.parametrizations.weight``. 2025-12-04T09:07:43.9085321Z 2025-12-04T09:07:43.9085438Z The original tensor will be accessible under 2025-12-04T09:07:43.9085706Z ``module.parametrizations.weight.original``. 2025-12-04T09:07:43.9085768Z 2025-12-04T09:07:43.9085999Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:07:43.9086095Z on the same attribute. 2025-12-04T09:07:43.9086161Z 2025-12-04T09:07:43.9086449Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:07:43.9086572Z to match the training mode of the host module 2025-12-04T09:07:43.9086635Z 2025-12-04T09:07:43.9086897Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:07:43.9087005Z using the context manager :func:`cached`. 2025-12-04T09:07:43.9087067Z 2025-12-04T09:07:43.9087277Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:07:43.9087342Z 2025-12-04T09:07:43.9087436Z .. code-block:: python 2025-12-04T09:07:43.9087504Z 2025-12-04T09:07:43.9087698Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:07:43.9087762Z 2025-12-04T09:07:43.9087993Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:07:43.9088170Z is registered to compute the initial value of the original tensor. 2025-12-04T09:07:43.9088440Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:07:43.9088501Z 2025-12-04T09:07:43.9088766Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:07:43.9089014Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:07:43.9089079Z 2025-12-04T09:07:43.9089273Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:07:43.9089480Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:07:43.9089683Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:07:43.9089755Z 2025-12-04T09:07:43.9090049Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:07:43.9090160Z with names ``original0``, ``original1``,... 2025-12-04T09:07:43.9090238Z 2025-12-04T09:07:43.9090307Z .. note:: 2025-12-04T09:07:43.9090368Z 2025-12-04T09:07:43.9090598Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:07:43.9090726Z once to perform a number of consistency checks. 2025-12-04T09:07:43.9090955Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:07:43.9091067Z and nothing will be called otherwise. 2025-12-04T09:07:43.9091127Z 2025-12-04T09:07:43.9091197Z .. note:: 2025-12-04T09:07:43.9091257Z 2025-12-04T09:07:43.9091437Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:07:43.9091542Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:07:43.9091797Z `right inverse `_). 2025-12-04T09:07:43.9092016Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:07:43.9092098Z to relax this. 2025-12-04T09:07:43.9092159Z 2025-12-04T09:07:43.9092229Z .. warning:: 2025-12-04T09:07:43.9092292Z 2025-12-04T09:07:43.9092527Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:07:43.9092758Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:07:43.9092988Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:07:43.9093160Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:07:43.9093312Z 2025-12-04T09:07:43.9093377Z Args: 2025-12-04T09:07:43.9093560Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:07:43.9093749Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:07:43.9093912Z the parametrization 2025-12-04T09:07:43.9094096Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:07:43.9094167Z Keyword args: 2025-12-04T09:07:43.9094353Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:07:43.9094522Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:07:43.9094752Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:07:43.9094858Z Enable this flag at your own risk. 2025-12-04T09:07:43.9094925Z 2025-12-04T09:07:43.9094996Z Raises: 2025-12-04T09:07:43.9095242Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:07:43.9095309Z 2025-12-04T09:07:43.9095377Z Examples: 2025-12-04T09:07:43.9095512Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:07:43.9095600Z >>> import torch 2025-12-04T09:07:43.9095692Z >>> import torch.nn as nn 2025-12-04T09:07:43.9095820Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:07:43.9095886Z >>> 2025-12-04T09:07:43.9095979Z >>> class Symmetric(nn.Module): 2025-12-04T09:07:43.9096070Z >>> def forward(self, X): 2025-12-04T09:07:43.9096226Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:07:43.9096291Z >>> 2025-12-04T09:07:43.9096393Z >>> def right_inverse(self, A): 2025-12-04T09:07:43.9096476Z >>> return A.triu() 2025-12-04T09:07:43.9096547Z >>> 2025-12-04T09:07:43.9096628Z >>> m = nn.Linear(5, 5) 2025-12-04T09:07:43.9096775Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:07:43.9096983Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:07:43.9097048Z True 2025-12-04T09:07:43.9097137Z >>> A = torch.rand(5, 5) 2025-12-04T09:07:43.9097239Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:07:43.9097411Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:07:43.9097518Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:07:43.9097588Z True 2025-12-04T09:07:43.9097649Z 2025-12-04T09:07:43.9097742Z >>> class RankOne(nn.Module): 2025-12-04T09:07:43.9097832Z >>> def forward(self, x, y): 2025-12-04T09:07:43.9097955Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:07:43.9098077Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:07:43.9098142Z >>> 2025-12-04T09:07:43.9098238Z >>> def right_inverse(self, Z): 2025-12-04T09:07:43.9098346Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:07:43.9098484Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:07:43.9098586Z >>> # Return rescaled singular vectors 2025-12-04T09:07:43.9098697Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:07:43.9098828Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:07:43.9098898Z >>> 2025-12-04T09:07:43.9099029Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:07:43.9099136Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:07:43.9099203Z ... ) 2025-12-04T09:07:43.9099379Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:07:43.9099533Z 1 2025-12-04T09:07:43.9099602Z 2025-12-04T09:07:43.9099667Z 2025-12-04T09:07:43.9100120Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:07:43.9100192Z 2025-12-04T09:07:43.9100362Z _._ = None 2025-12-04T09:07:43.9100435Z ^ 2025-12-04T09:07:43.9100516Z warnings.warn(msg) 2025-12-04T09:07:43.9100582Z 2025-12-04T09:07:43.9100761Z --- Parse Warning: 17 / 17 --- 2025-12-04T09:07:43.9101548Z /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. 2025-12-04T09:07:43.9101765Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:43.9101925Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:07:43.9101986Z 2025-12-04T09:07:43.9102162Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:07:43.9102323Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:07:43.9102494Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:07:43.9102605Z of epochs, the learning rate is reduced. 2025-12-04T09:07:43.9102666Z 2025-12-04T09:07:43.9102738Z Args: 2025-12-04T09:07:43.9102853Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:07:43.9102988Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:07:43.9103125Z be reduced when the quantity monitored has stopped 2025-12-04T09:07:43.9103267Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:07:43.9103434Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:07:43.9103594Z factor (float): Factor by which the learning rate will be 2025-12-04T09:07:43.9103716Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:07:43.9103907Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:07:43.9104046Z which the learning rate will be reduced. 2025-12-04T09:07:43.9104266Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:07:43.9104581Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:07:43.9104758Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:07:43.9104887Z we have what is considered an intolerable epoch. 2025-12-04T09:07:43.9105114Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:07:43.9105263Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:07:43.9105539Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:07:43.9105807Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:07:43.9105911Z the learning rate is not adjusted. 2025-12-04T09:07:43.9105991Z Default: 10. 2025-12-04T09:07:43.9106154Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:07:43.9106289Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:07:43.9106439Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:07:43.9106573Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:07:43.9106697Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:07:43.9106918Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:07:43.9107074Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:07:43.9107230Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:07:43.9107379Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:07:43.9107595Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:07:43.9107742Z lower bound on the learning rate of all param groups 2025-12-04T09:07:43.9107855Z or each group respectively. Default: 0. 2025-12-04T09:07:43.9108009Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:07:43.9108160Z between new and old lr is smaller than eps, the update is 2025-12-04T09:07:43.9108248Z ignored. Default: 1e-8. 2025-12-04T09:07:43.9108316Z 2025-12-04T09:07:43.9108385Z Example: 2025-12-04T09:07:43.9108473Z >>> # xdoctest: +SKIP 2025-12-04T09:07:43.9108673Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:07:43.9108809Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:07:43.9108902Z >>> for epoch in range(10): 2025-12-04T09:07:43.9108979Z >>> train(...) 2025-12-04T09:07:43.9109077Z >>> val_loss = validate(...) 2025-12-04T09:07:43.9109209Z >>> # Note that step should be called after validate() 2025-12-04T09:07:43.9109304Z >>> scheduler.step(val_loss) 2025-12-04T09:07:43.9109365Z 2025-12-04T09:07:43.9109535Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:07:43.9109600Z 2025-12-04T09:07:43.9109952Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:07:43.9110018Z 2025-12-04T09:07:43.9110114Z scheduler.step(val_loss) 2025-12-04T09:07:43.9110184Z ^ 2025-12-04T09:07:43.9110263Z warnings.warn(msg) 2025-12-04T09:07:43.9110324Z 2025-12-04T09:07:43.9110423Z  2025-12-04T09:07:43.9110577Z === Found 10 run-time warnings === 2025-12-04T09:07:43.9110738Z --- Runtime Warning: 1 / 10 --- 2025-12-04T09:07:43.9110917Z example = 2025-12-04T09:07:43.9112136Z :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() 2025-12-04T09:07:43.9112205Z 2025-12-04T09:07:43.9112364Z --- Runtime Warning: 2 / 10 --- 2025-12-04T09:07:43.9112589Z example = 2025-12-04T09:07:43.9114153Z /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:1973.) 2025-12-04T09:07:43.9114258Z return super().refine_names(names) 2025-12-04T09:07:43.9114322Z 2025-12-04T09:07:43.9114494Z --- Runtime Warning: 3 / 10 --- 2025-12-04T09:07:43.9114755Z example = 2025-12-04T09:07:43.9115284Z /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. 2025-12-04T09:07:43.9115550Z Overriding a previously registered kernel for the same operator and the same dispatch key 2025-12-04T09:07:43.9115896Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2025-12-04T09:07:43.9116151Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2025-12-04T09:07:43.9116231Z dispatch key: CPU 2025-12-04T09:07:43.9116725Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2025-12-04T09:07:43.9117561Z new kernel: registered at :1 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:208.) 2025-12-04T09:07:43.9117707Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2025-12-04T09:07:43.9117771Z 2025-12-04T09:07:43.9117940Z --- Runtime Warning: 4 / 10 --- 2025-12-04T09:07:43.9118148Z example = 2025-12-04T09:07:43.9119691Z /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:178.) 2025-12-04T09:07:43.9119904Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2025-12-04T09:07:43.9119968Z 2025-12-04T09:07:43.9120131Z --- Runtime Warning: 5 / 10 --- 2025-12-04T09:07:43.9120348Z example = 2025-12-04T09:07:43.9121696Z :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:53.) 2025-12-04T09:07:43.9121769Z 2025-12-04T09:07:43.9121928Z --- Runtime Warning: 6 / 10 --- 2025-12-04T09:07:43.9122194Z example = 2025-12-04T09:07:43.9123452Z /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 2025-12-04T09:07:43.9123597Z new_node = root_const_gm.graph.get_attr(in_node.target) 2025-12-04T09:07:43.9123670Z 2025-12-04T09:07:43.9123828Z --- Runtime Warning: 7 / 10 --- 2025-12-04T09:07:43.9124074Z example = 2025-12-04T09:07:43.9124988Z /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) 2025-12-04T09:07:43.9125089Z self.encoder = TransformerEncoder( 2025-12-04T09:07:43.9125155Z 2025-12-04T09:07:43.9125312Z --- Runtime Warning: 8 / 10 --- 2025-12-04T09:07:43.9125594Z example = 2025-12-04T09:07:43.9126617Z :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) 2025-12-04T09:07:43.9126771Z 2025-12-04T09:07:43.9126934Z --- Runtime Warning: 9 / 10 --- 2025-12-04T09:07:43.9127169Z example = 2025-12-04T09:07:43.9127936Z /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`. 2025-12-04T09:07:43.9128045Z WeightNorm.apply(module, name, dim) 2025-12-04T09:07:43.9128109Z 2025-12-04T09:07:43.9128276Z --- Runtime Warning: 10 / 10 --- 2025-12-04T09:07:43.9128537Z example = 2025-12-04T09:07:43.9129218Z /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`. 2025-12-04T09:07:43.9129328Z WeightNorm.apply(module, name, dim) 2025-12-04T09:07:43.9129391Z 2025-12-04T09:07:43.9129652Z === 378 passed, 516 skipped, 27 warnings in 18.34 seconds === 2025-12-04T09:07:43.9129860Z Finished doctests 1/1 ... [2025-12-04 09:07:43.870503][1015.879174792], took 0.31min 2025-12-04T09:07:43.9130092Z Running inductor/test_flex_attention 1/1 ... [2025-12-04 09:07:43.872943][1015.881627229] 2025-12-04T09:07:43.9130187Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:43.9131087Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:43.873415] 2025-12-04T09:07:51.7528123Z 2025-12-04T09:07:51.7529161Z inductor/test_flex_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.1_ea41c03a9154a638_.log 2025-12-04T09:07:51.7593324Z Running 150 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, 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test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, 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test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_return_aux_deprecation_warnings_cuda_float16, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_logging_cuda 2025-12-04T09:07:51.7656011Z 2025-12-04T09:07:51.7656300Z Finished inductor/test_flex_attention 1/1 ... [2025-12-04 09:07:51.752906][1023.761588628], took 0.13min 2025-12-04T09:07:51.7657292Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-6abab443b28ec00b.xml 2025-12-04T09:07:51.8373420Z Running inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:07:51.836966][1023.845647812] 2025-12-04T09:07:51.8374215Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:51.8376905Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cutlass_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:51.837302] 2025-12-04T09:07:58.2137748Z 2025-12-04T09:07:58.2138878Z inductor/test_cutlass_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_backend_1.1_aa81fca6a3b5eaae_.log 2025-12-04T09:07:58.2139632Z Running 0 items in this shard: 2025-12-04T09:07:58.2139808Z 2025-12-04T09:07:58.2140103Z Finished inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:07:58.213367][1030.222051324], took 0.11min 2025-12-04T09:07:58.2153840Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cutlass_backend/inductor.test_cutlass_backend-019166822373c361.xml 2025-12-04T09:07:58.2822883Z Running inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:07:58.281892][1030.290575107] 2025-12-04T09:07:58.2823350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:58.2826117Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_benchmark_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:58.282213] 2025-12-04T09:08:05.2590737Z 2025-12-04T09:08:05.2591522Z inductor/test_benchmark_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmark_fusion_1.1_d469d11bf08db08f_.log 2025-12-04T09:08:05.2630044Z Running 100 items in this shard: test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code 2025-12-04T09:08:05.2667478Z 2025-12-04T09:08:05.2667768Z Finished inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:08:05.258859][1037.267542929], took 0.12min 2025-12-04T09:08:05.2668910Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-8438e127c8969d51.xml 2025-12-04T09:08:05.3355294Z Running inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:08:05.335125][1037.343808235] 2025-12-04T09:08:05.3355759Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:05.3358592Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_distributed_patterns.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:05.335484] 2025-12-04T09:08:11.5114736Z 2025-12-04T09:08:11.5115655Z inductor/test_distributed_patterns 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_distributed_patterns_1.1_115b61b63340d126_.log 2025-12-04T09:08:11.5116425Z Running 0 items in this shard: 2025-12-04T09:08:11.5116622Z 2025-12-04T09:08:11.5116953Z Finished inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:08:11.511095][1043.519779782], took 0.10min 2025-12-04T09:08:11.5134586Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-ca5488357cfb88e6.xml 2025-12-04T09:08:11.5812261Z Running test_sort_and_select 1/1 ... [2025-12-04 09:08:11.580849][1043.589531282] 2025-12-04T09:08:11.5812810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:11.5815776Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:11.581180] 2025-12-04T09:08:15.4531810Z 2025-12-04T09:08:15.4532805Z 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_8891d31898a2339b_.log 2025-12-04T09:08:15.4533495Z Running 0 items in this shard: 2025-12-04T09:08:15.4533674Z 2025-12-04T09:08:15.4533913Z Finished test_sort_and_select 1/1 ... [2025-12-04 09:08:15.452816][1047.461500505], took 0.06min 2025-12-04T09:08:15.4553758Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-08bc993a7dd4f728.xml 2025-12-04T09:08:15.4883695Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 09:08:15.487971][1047.496655627] 2025-12-04T09:08:15.4884159Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:15.4887213Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:15.488276] 2025-12-04T09:08:18.7090239Z 2025-12-04T09:08:18.7091241Z 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_0670e986d435e15e_.log 2025-12-04T09:08:18.7092037Z Running 0 items in this shard: 2025-12-04T09:08:18.7092209Z 2025-12-04T09:08:18.7092547Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 09:08:18.708652][1050.717334894], took 0.05min 2025-12-04T09:08:18.7114658Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-37b2ccf214dc4298.xml 2025-12-04T09:08:18.7446118Z Running test_cpp_api_parity 1/1 ... [2025-12-04 09:08:18.744250][1050.752934261] 2025-12-04T09:08:18.7446523Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:18.7450573Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:18.744608] 2025-12-04T09:08:28.4268961Z 2025-12-04T09:08:28.4270425Z 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_11e1df619c674362_.log 2025-12-04T09:08:28.4271110Z Running 0 items in this shard: 2025-12-04T09:08:28.4271291Z 2025-12-04T09:08:28.4271535Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 09:08:28.426558][1060.435242518], took 0.16min 2025-12-04T09:08:28.4294162Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-2792eb68be0f4b7d.xml 2025-12-04T09:08:28.5008677Z Running test_extension_utils 1/1 ... [2025-12-04 09:08:28.500543][1060.509226494] 2025-12-04T09:08:28.5009091Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:28.5012257Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:28.500878] 2025-12-04T09:08:31.7213982Z 2025-12-04T09:08:31.7215016Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_d23602df7ac3fe45_.log 2025-12-04T09:08:31.7215686Z Running 0 items in this shard: 2025-12-04T09:08:31.7215866Z 2025-12-04T09:08:31.7216110Z Finished test_extension_utils 1/1 ... [2025-12-04 09:08:31.721081][1063.729765054], took 0.05min 2025-12-04T09:08:31.7241812Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_extension_utils/test_extension_utils-f38299acf72f733e.xml 2025-12-04T09:08:31.7517572Z Running test_show_pickle 1/1 ... [2025-12-04 09:08:31.751439][1063.760123395] 2025-12-04T09:08:31.7517998Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:31.7521388Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:31.751784] 2025-12-04T09:08:34.9727215Z 2025-12-04T09:08:34.9727992Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_818e312b54925e3c_.log 2025-12-04T09:08:34.9728634Z Running 0 items in this shard: 2025-12-04T09:08:34.9728802Z 2025-12-04T09:08:34.9729044Z Finished test_show_pickle 1/1 ... [2025-12-04 09:08:34.972339][1066.981023309], took 0.05min 2025-12-04T09:08:34.9755711Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_show_pickle/test_show_pickle-66a6ef2079809739.xml 2025-12-04T09:08:35.0000832Z Running test_torch 1/1 ... [2025-12-04 09:08:34.999772][1067.008456177] 2025-12-04T09:08:35.0001259Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:35.0004548Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:35.000078] 2025-12-04T09:08:41.6766051Z 2025-12-04T09:08:41.6766691Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_559f10858893ce80_.log 2025-12-04T09:08:41.6794590Z Running 150 items in this shard: test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup 2025-12-04T09:08:41.6822344Z 2025-12-04T09:08:41.6822556Z Finished test_torch 1/1 ... [2025-12-04 09:08:41.676385][1073.685069166], took 0.11min 2025-12-04T09:08:41.6823331Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-36d38b133c00ed7f.xml 2025-12-04T09:08:41.7682035Z Running test_tensorexpr 1/1 ... [2025-12-04 09:08:41.767757][1073.776439209] 2025-12-04T09:08:41.7682446Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:41.7684303Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:41.768089] 2025-12-04T09:08:45.0884708Z 2025-12-04T09:08:45.0885968Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_4e52f83269217a6e_.log 2025-12-04T09:08:45.0886641Z Running 0 items in this shard: 2025-12-04T09:08:45.0886815Z 2025-12-04T09:08:45.0887049Z Finished test_tensorexpr 1/1 ... [2025-12-04 09:08:45.088190][1077.096873871], took 0.06min 2025-12-04T09:08:45.0918155Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-311c177bd222b25d.xml 2025-12-04T09:08:45.1205150Z Running test_utils 1/1 ... [2025-12-04 09:08:45.120183][1077.128867829] 2025-12-04T09:08:45.1205593Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:45.1208545Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:45.120489] 2025-12-04T09:09:00.0175039Z 2025-12-04T09:09:00.0178972Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_b67d49e84104a932_.log 2025-12-04T09:09:00.0200590Z Running 100 items in this shard: test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed 2025-12-04T09:09:00.0221796Z 2025-12-04T09:09:00.0222180Z Finished test_utils 1/1 ... [2025-12-04 09:09:00.017200][1092.025883973], took 0.25min 2025-12-04T09:09:00.0222976Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-f85a1196efecb96d.xml 2025-12-04T09:09:00.0935568Z Running test_namedtuple_return_api 1/1 ... [2025-12-04 09:09:00.093130][1092.101812014] 2025-12-04T09:09:00.0936182Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:00.0939397Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:00.093516] 2025-12-04T09:09:03.3139372Z 2025-12-04T09:09:03.3140309Z 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_111084bc6411cac7_.log 2025-12-04T09:09:03.3141060Z Running 0 items in this shard: 2025-12-04T09:09:03.3141235Z 2025-12-04T09:09:03.3141515Z Finished test_namedtuple_return_api 1/1 ... [2025-12-04 09:09:03.313619][1095.322302831], took 0.05min 2025-12-04T09:09:03.3174923Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-dcd101bfd13fe864.xml 2025-12-04T09:09:03.3458820Z Running test_fake_tensor 1/1 ... [2025-12-04 09:09:03.345577][1095.354260976] 2025-12-04T09:09:03.3459212Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:03.3462612Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:03.345927] 2025-12-04T09:09:10.8740535Z 2025-12-04T09:09:10.8742069Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_0a9fe1ab072901ac_.log 2025-12-04T09:09:10.8756074Z Running 50 items in this shard: test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to 2025-12-04T09:09:10.8769138Z 2025-12-04T09:09:10.8769366Z Finished test_fake_tensor 1/1 ... [2025-12-04 09:09:10.873641][1102.882325172], took 0.13min 2025-12-04T09:09:10.8776982Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-802a816a8c0e2543.xml 2025-12-04T09:09:10.9499936Z Running test_multiprocessing 1/1 ... [2025-12-04 09:09:10.949648][1102.958330783] 2025-12-04T09:09:10.9500410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:10.9504477Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:10.949978] 2025-12-04T09:09:14.7721278Z 2025-12-04T09:09:14.7722496Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_5a16377e7991b786_.log 2025-12-04T09:09:14.7750162Z Running 100 items in this shard: test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple 2025-12-04T09:09:14.7777167Z 2025-12-04T09:09:14.7777430Z Finished test_multiprocessing 1/1 ... [2025-12-04 09:09:14.772163][1106.780842982], took 0.06min 2025-12-04T09:09:14.7778338Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-1de8adf4f89400ce.xml 2025-12-04T09:09:14.8087902Z Running test_fx 1/1 ... [2025-12-04 09:09:14.808435][1106.817119867] 2025-12-04T09:09:14.8088405Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:14.8092259Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:14.808773] 2025-12-04T09:12:24.1660064Z 2025-12-04T09:12:24.1660910Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_f47263593ef1c190_.log 2025-12-04T09:12:24.1683932Z Running 100 items in this shard: test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7 2025-12-04T09:12:24.1704649Z 2025-12-04T09:12:24.1704867Z Finished test_fx 1/1 ... [2025-12-04 09:12:24.165704][1296.17438685], took 3.16min 2025-12-04T09:12:24.1705610Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx/test_fx-88ea0ed959be2f2c.xml 2025-12-04T09:12:24.2435136Z Running test_autograd_fallback 1/1 ... [2025-12-04 09:12:24.243104][1296.251786472] 2025-12-04T09:12:24.2435661Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:24.2438498Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:24.243461] 2025-12-04T09:12:27.4643770Z 2025-12-04T09:12:27.4644647Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_677fc702f42acba0_.log 2025-12-04T09:12:27.4645313Z Running 0 items in this shard: 2025-12-04T09:12:27.4645495Z 2025-12-04T09:12:27.4645779Z Finished test_autograd_fallback 1/1 ... [2025-12-04 09:12:27.464034][1299.472718135], took 0.05min 2025-12-04T09:12:27.4684816Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-c9e3e804d1c1d2d9.xml 2025-12-04T09:12:27.4941372Z Running test_autocast 1/1 ... [2025-12-04 09:12:27.493820][1299.502504913] 2025-12-04T09:12:27.4941771Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:27.4944810Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:27.494143] 2025-12-04T09:12:31.1151427Z 2025-12-04T09:12:31.1152751Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_33fe890031ddfd71_.log 2025-12-04T09:12:31.1153911Z Running 0 items in this shard: 2025-12-04T09:12:31.1154257Z 2025-12-04T09:12:31.1154496Z Finished test_autocast 1/1 ... [2025-12-04 09:12:31.114692][1303.123373315], took 0.06min 2025-12-04T09:12:31.1196467Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-00020d63c16aebb5.xml 2025-12-04T09:12:31.1445138Z Running test_python_dispatch 1/1 ... [2025-12-04 09:12:31.144163][1303.15284831] 2025-12-04T09:12:31.1445679Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:31.1448512Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:31.144461] 2025-12-04T09:12:36.1180762Z 2025-12-04T09:12:36.1181811Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_08d7693bec5e1a6b_.log 2025-12-04T09:12:36.1182476Z Running 0 items in this shard: 2025-12-04T09:12:36.1182645Z 2025-12-04T09:12:36.1182888Z Finished test_python_dispatch 1/1 ... [2025-12-04 09:12:36.117668][1308.126352356], took 0.08min 2025-12-04T09:12:36.1226680Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-6e3a914c31367362.xml 2025-12-04T09:12:36.1510739Z Running test_jit_disabled 1/1 ... [2025-12-04 09:12:36.150741][1308.159425641] 2025-12-04T09:12:36.1511180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:36.1514609Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:36.151072] 2025-12-04T09:12:39.3715119Z 2025-12-04T09:12:39.3716329Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_c5619968b144d064_.log 2025-12-04T09:12:39.3716991Z Running 0 items in this shard: 2025-12-04T09:12:39.3717226Z 2025-12-04T09:12:39.3717470Z Finished test_jit_disabled 1/1 ... [2025-12-04 09:12:39.371108][1311.379792428], took 0.05min 2025-12-04T09:12:39.3762754Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-4f87786e7d0ab6f0.xml 2025-12-04T09:12:39.3990194Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:12:39.398684][1311.407368872] 2025-12-04T09:12:39.3990681Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:39.3994216Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:39.399045] 2025-12-04T09:12:42.6196283Z 2025-12-04T09:12:42.6197672Z 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_297522376f914a0d_.log 2025-12-04T09:12:42.6198843Z Running 0 items in this shard: 2025-12-04T09:12:42.6199118Z 2025-12-04T09:12:42.6199565Z Finished test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:12:42.619187][1314.6278718], took 0.05min 2025-12-04T09:12:42.6246439Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-3cb5e76d4ad186d5.xml 2025-12-04T09:12:42.6492264Z Running functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:12:42.648856][1314.657540938] 2025-12-04T09:12:42.6493062Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:42.6495532Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:42.649169] 2025-12-04T09:12:46.1208535Z 2025-12-04T09:12:46.1209962Z 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_0f10059ecb6c1e96_.log 2025-12-04T09:12:46.1211363Z Running 0 items in this shard: 2025-12-04T09:12:46.1212057Z 2025-12-04T09:12:46.1212616Z Finished functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:12:46.120524][1318.129203765], took 0.06min 2025-12-04T09:12:46.1263165Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-af7d6bf9d467f69d.xml 2025-12-04T09:12:46.1566245Z Running test_tensor_creation_ops 1/1 ... [2025-12-04 09:12:46.156220][1318.164904768] 2025-12-04T09:12:46.1567121Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:46.1569156Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:46.156530] 2025-12-04T09:12:50.7297403Z 2025-12-04T09:12:50.7298386Z 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_8e8a59b394ee1c1a_.log 2025-12-04T09:12:50.7299114Z Running 0 items in this shard: 2025-12-04T09:12:50.7299288Z 2025-12-04T09:12:50.7299542Z Finished test_tensor_creation_ops 1/1 ... [2025-12-04 09:12:50.729335][1322.738019147], took 0.08min 2025-12-04T09:12:50.7350765Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-5d0c470c476849b0.xml 2025-12-04T09:12:50.7624311Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:12:50.762098][1322.770782708] 2025-12-04T09:12:50.7624922Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:50.7627742Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:50.762405] 2025-12-04T09:12:53.9830727Z 2025-12-04T09:12:53.9832156Z 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_a80bec77d773cb62_.log 2025-12-04T09:12:53.9833485Z Running 0 items in this shard: 2025-12-04T09:12:53.9833763Z 2025-12-04T09:12:53.9834398Z Finished test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:12:53.982710][1325.99139471], took 0.05min 2025-12-04T09:12:53.9886416Z 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-28eeb1e537072b6a.xml 2025-12-04T09:12:54.0160982Z Running test_dispatch 1/1 ... [2025-12-04 09:12:54.015734][1326.024419453] 2025-12-04T09:12:54.0161589Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:54.0164374Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:54.016045] 2025-12-04T09:12:57.2869511Z 2025-12-04T09:12:57.2870373Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_2ed5a9cc6a37f64b_.log 2025-12-04T09:12:57.2870985Z Running 0 items in this shard: 2025-12-04T09:12:57.2871158Z 2025-12-04T09:12:57.2871378Z Finished test_dispatch 1/1 ... [2025-12-04 09:12:57.286448][1329.295132847], took 0.05min 2025-12-04T09:12:57.2924966Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dispatch/test_dispatch-490baecd3de35c1d.xml 2025-12-04T09:12:57.3208918Z Running nn/test_convolution 1/1 ... [2025-12-04 09:12:57.320557][1329.329241762] 2025-12-04T09:12:57.3209337Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:57.3212230Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:57.320855] 2025-12-04T09:13:02.5451223Z 2025-12-04T09:13:02.5452526Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_334d85d876d1c1f3_.log 2025-12-04T09:13:02.5470617Z Running 50 items in this shard: test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda 2025-12-04T09:13:02.5488337Z 2025-12-04T09:13:02.5488584Z Finished nn/test_convolution 1/1 ... [2025-12-04 09:13:02.544770][1334.553454865], took 0.09min 2025-12-04T09:13:02.5508338Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-333f2504e7fe4366.xml 2025-12-04T09:13:02.5806665Z Running test_cpp_extensions_jit 1/1 ... [2025-12-04 09:13:02.580339][1334.589023632] 2025-12-04T09:13:02.5807213Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:02.5810064Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:02.580643] 2025-12-04T09:13:06.4028290Z 2025-12-04T09:13:06.4029242Z 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_2348e22c554cb69d_.log 2025-12-04T09:13:06.4029916Z Running 0 items in this shard: 2025-12-04T09:13:06.4030086Z 2025-12-04T09:13:06.4030362Z Finished test_cpp_extensions_jit 1/1 ... [2025-12-04 09:13:06.402467][1338.4111515], took 0.06min 2025-12-04T09:13:06.4088120Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-4694714f7c614470.xml 2025-12-04T09:13:06.4323946Z Running test_nn 1/1 ... [2025-12-04 09:13:06.432074][1338.440758922] 2025-12-04T09:13:06.4324316Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:06.4327365Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:06.432383] 2025-12-04T09:13:15.1128329Z 2025-12-04T09:13:15.1129352Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_123d8caa42f8178b_.log 2025-12-04T09:13:15.1182659Z Running 150 items in this shard: test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 2025-12-04T09:13:15.1238078Z 2025-12-04T09:13:15.1238412Z Finished test_nn 1/1 ... [2025-12-04 09:13:15.112533][1347.121216367], took 0.14min 2025-12-04T09:13:15.1239720Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-7a853cdddd3fb845.xml 2025-12-04T09:13:15.1984321Z Running test_multiprocessing_spawn 1/2 ... [2025-12-04 09:13:15.197997][1347.206679766] 2025-12-04T09:13:15.1985067Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:15.1987867Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:15.198336] 2025-12-04T09:13:23.4782336Z 2025-12-04T09:13:23.4782951Z test_multiprocessing_spawn 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.2_c20d3fb3afc8afc8_.log 2025-12-04T09:13:23.4783681Z Running 0 items in this shard: 2025-12-04T09:13:23.4783848Z 2025-12-04T09:13:23.4784124Z Finished test_multiprocessing_spawn 1/2 ... [2025-12-04 09:13:23.477804][1355.486489042], took 0.14min 2025-12-04T09:13:23.4845052Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-bed5b327d61ede63.xml 2025-12-04T09:13:23.5519143Z Running test_multiprocessing_spawn 2/2 ... [2025-12-04 09:13:23.551570][1355.560253417] 2025-12-04T09:13:23.5519601Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:23.5522866Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:23.551916] 2025-12-04T09:13:31.8322172Z 2025-12-04T09:13:31.8322820Z test_multiprocessing_spawn 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_2.2_fecb1469a3eef48a_.log 2025-12-04T09:13:31.8323532Z Running 0 items in this shard: 2025-12-04T09:13:31.8323705Z 2025-12-04T09:13:31.8323995Z Finished test_multiprocessing_spawn 2/2 ... [2025-12-04 09:13:31.831859][1363.840540826], took 0.14min 2025-12-04T09:13:31.8389715Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-8dc33a20c2f98f01.xml 2025-12-04T09:13:31.9090093Z Running nn/test_pooling 1/1 ... [2025-12-04 09:13:31.908652][1363.91733452] 2025-12-04T09:13:31.9090505Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:31.9093530Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:31.908983] 2025-12-04T09:13:35.8312739Z 2025-12-04T09:13:35.8314367Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_91dda67956c3462c_.log 2025-12-04T09:13:35.8315002Z Running 0 items in this shard: 2025-12-04T09:13:35.8315182Z 2025-12-04T09:13:35.8315418Z Finished nn/test_pooling 1/1 ... [2025-12-04 09:13:35.830901][1367.83958483], took 0.07min 2025-12-04T09:13:35.8378040Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-5b586f4c4548890d.xml 2025-12-04T09:13:35.8635712Z Running test_cuda_trace 1/1 ... [2025-12-04 09:13:35.863237][1367.871922181] 2025-12-04T09:13:35.8636105Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:35.8639039Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:35.863552] 2025-12-04T09:13:39.0839000Z 2025-12-04T09:13:39.0839936Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_e08cf46f69a1ef37_.log 2025-12-04T09:13:39.0840549Z Running 0 items in this shard: 2025-12-04T09:13:39.0840731Z 2025-12-04T09:13:39.0840954Z Finished test_cuda_trace 1/1 ... [2025-12-04 09:13:39.083537][1371.092220815], took 0.05min 2025-12-04T09:13:39.0907928Z Running test_native_mha 1/1 ... [2025-12-04 09:13:39.090459][1371.09914516] 2025-12-04T09:13:39.0908401Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:39.0912084Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:39.090805] 2025-12-04T09:13:42.8625293Z 2025-12-04T09:13:42.8626248Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_39c85d029181e761_.log 2025-12-04T09:13:42.8626863Z Running 0 items in this shard: 2025-12-04T09:13:42.8627033Z 2025-12-04T09:13:42.8627260Z Finished test_native_mha 1/1 ... [2025-12-04 09:13:42.862145][1374.870829148], took 0.06min 2025-12-04T09:13:42.8692741Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_mha/test_native_mha-5bf2053f4dac86cc.xml 2025-12-04T09:13:42.9299207Z Running test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:13:42.929531][1374.938214389] 2025-12-04T09:13:42.9299649Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:42.9303097Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:42.929903] 2025-12-04T09:13:46.1505919Z 2025-12-04T09:13:46.1506832Z 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_d6ed37f84cbf2cd5_.log 2025-12-04T09:13:46.1507548Z Running 0 items in this shard: 2025-12-04T09:13:46.1507731Z 2025-12-04T09:13:46.1507994Z Finished test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:13:46.150236][1378.158920287], took 0.05min 2025-12-04T09:13:46.1576263Z Running test_mobile_optimizer 1/1 ... [2025-12-04 09:13:46.157304][1378.165990344] 2025-12-04T09:13:46.1576669Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:46.1579836Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:46.157639] 2025-12-04T09:13:50.0298459Z 2025-12-04T09:13:50.0299824Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_6843e8eb10f9ba72_.log 2025-12-04T09:13:50.0327868Z Running 100 items in this shard: test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, 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test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures 2025-12-04T09:13:50.0355089Z 2025-12-04T09:13:50.0355344Z Finished test_mobile_optimizer 1/1 ... [2025-12-04 09:13:50.029589][1382.038273756], took 0.06min 2025-12-04T09:13:50.0368313Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-1e99c6df7d991da4.xml 2025-12-04T09:13:50.1108833Z Running test_overrides 1/1 ... [2025-12-04 09:13:50.110472][1382.119152295] 2025-12-04T09:13:50.1109296Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:50.1112759Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:50.110875] 2025-12-04T09:13:56.6376058Z 2025-12-04T09:13:56.6376858Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_dc54d47f484daa22_.log 2025-12-04T09:13:56.6441725Z Running 250 items in this shard: test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, 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test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api 2025-12-04T09:13:56.6505348Z 2025-12-04T09:13:56.6505583Z Finished test_overrides 1/1 ... [2025-12-04 09:13:56.637707][1388.646390846], took 0.11min 2025-12-04T09:13:56.6506420Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_overrides/test_overrides-45ead6dd0d6dffe9.xml 2025-12-04T09:13:56.7156145Z Running test_cuda_primary_ctx 1/1 ... [2025-12-04 09:13:56.715160][1388.723842536] 2025-12-04T09:13:56.7156632Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:56.7159329Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:56.715529] 2025-12-04T09:14:00.2362185Z 2025-12-04T09:14:00.2363290Z 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_31aad40ad069dbf5_.log 2025-12-04T09:14:00.2364195Z Running 0 items in this shard: 2025-12-04T09:14:00.2364394Z 2025-12-04T09:14:00.2364640Z Finished test_cuda_primary_ctx 1/1 ... [2025-12-04 09:14:00.235748][1392.244433226], took 0.06min 2025-12-04T09:14:00.2435485Z Running test_reductions 1/1 ... [2025-12-04 09:14:00.243232][1392.251917717] 2025-12-04T09:14:00.2435878Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:00.2439429Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_reductions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:00.243583] 2025-12-04T09:14:12.7300044Z 2025-12-04T09:14:12.7300877Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_6f228a76c3b0844c_.log 2025-12-04T09:14:12.7301489Z Running 0 items in this shard: 2025-12-04T09:14:12.7301674Z 2025-12-04T09:14:12.7301928Z Finished test_reductions 1/1 ... [2025-12-04 09:14:12.729624][1404.738308086], took 0.21min 2025-12-04T09:14:12.7372112Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-45e36c88bf0b2f93.xml 2025-12-04T09:14:12.8072364Z Running test_spectral_ops 1/1 ... [2025-12-04 09:14:12.806855][1404.81553784] 2025-12-04T09:14:12.8072799Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:12.8075774Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:12.807193] 2025-12-04T09:14:18.0819044Z 2025-12-04T09:14:18.0819905Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_9e69c866cca8b189_.log 2025-12-04T09:14:18.0820560Z Running 0 items in this shard: 2025-12-04T09:14:18.0820733Z 2025-12-04T09:14:18.0820971Z Finished test_spectral_ops 1/1 ... [2025-12-04 09:14:18.081515][1410.09019937], took 0.09min 2025-12-04T09:14:18.0892849Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-b96a856f5471c9fb.xml 2025-12-04T09:14:18.1173507Z Running distributions/test_distributions 1/1 ... [2025-12-04 09:14:18.116998][1410.125682603] 2025-12-04T09:14:18.1174047Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:18.1177712Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:18.117334] 2025-12-04T09:14:22.4904647Z 2025-12-04T09:14:22.4905477Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_7e52b48ee003bd2c_.log 2025-12-04T09:14:22.4922654Z Running 50 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample 2025-12-04T09:14:22.4938434Z 2025-12-04T09:14:22.4938754Z Finished distributions/test_distributions 1/1 ... [2025-12-04 09:14:22.490186][1414.498870125], took 0.07min 2025-12-04T09:14:22.4984263Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-9b1dc87347c93d06.xml 2025-12-04T09:14:22.5275930Z Running test_autoload_disable 1/1 ... [2025-12-04 09:14:22.527252][1414.535936278] 2025-12-04T09:14:22.8565702Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:14:26.0448640Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:14:26.0468570Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:15:51.2729468Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - done 2025-12-04T09:15:51.2847931Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=13199558 sha256=2722af079e5edb8bc5084ae0fde0a3ca4ae558b3540d166bff085fe27ae000f1 2025-12-04T09:15:51.2849141Z Stored in directory: /tmp/pip-ephem-wheel-cache-zpnhjvp8/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:15:51.2866410Z Successfully built torch_test_cpp_extension 2025-12-04T09:15:51.6541574Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:15:51.8706178Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:15:54.4438181Z 2025-12-04T09:15:54.4438708Z Running tests... 2025-12-04T09:15:54.4439292Z ---------------------------------------------------------------------- 2025-12-04T09:15:54.7497865Z s 2025-12-04T09:15:54.7498417Z ---------------------------------------------------------------------- 2025-12-04T09:15:54.7499088Z Ran 1 test in 0.306s 2025-12-04T09:15:54.7499361Z 2025-12-04T09:15:54.7499523Z OK (skipped=1) 2025-12-04T09:15:54.7499757Z 2025-12-04T09:15:54.7499934Z Generating XML reports... 2025-12-04T09:15:55.4595022Z Finished test_autoload_disable 1/1 ... [2025-12-04 09:15:55.458977][1507.4676495], took 1.55min 2025-12-04T09:15:55.4672845Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091554.xml 2025-12-04T09:15:55.5417294Z Running test_autoload_enable 1/1 ... [2025-12-04 09:15:55.541385][1507.550067111] 2025-12-04T09:15:55.8873652Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:15:59.0680236Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:15:59.0733209Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:17:24.0890504Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - done 2025-12-04T09:17:24.1012023Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=13199558 sha256=781cb1b34ff5cb0f855e0154b332d0f7a79073092b3e832263580037c892c025 2025-12-04T09:17:24.1013577Z Stored in directory: /tmp/pip-ephem-wheel-cache-580c9xq_/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:17:24.1031083Z Successfully built torch_test_cpp_extension 2025-12-04T09:17:24.4683849Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:17:24.6855898Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:17:27.2444284Z 2025-12-04T09:17:27.2444691Z Running tests... 2025-12-04T09:17:27.2445021Z ---------------------------------------------------------------------- 2025-12-04T09:17:27.5468060Z s 2025-12-04T09:17:27.5468357Z ---------------------------------------------------------------------- 2025-12-04T09:17:27.5468710Z Ran 1 test in 0.302s 2025-12-04T09:17:27.5468866Z 2025-12-04T09:17:27.5468954Z OK (skipped=1) 2025-12-04T09:17:27.5469082Z 2025-12-04T09:17:27.5469193Z Generating XML reports... 2025-12-04T09:17:28.2525282Z Finished test_autoload_enable 1/1 ... [2025-12-04 09:17:28.251888][1600.260561], took 1.55min 2025-12-04T09:17:28.2604456Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091727.xml 2025-12-04T09:17:28.3303492Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:17:28.329940][1600.338623022] 2025-12-04T09:17:28.7072083Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:17:31.8971447Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:17:31.8991221Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:18:57.9202310Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ done 2025-12-04T09:18:57.9344701Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=16081653 sha256=ece38821283892fa6ed662762511e452bddfc5bebf6afe1b82dfa25f7051e4c2 2025-12-04T09:18:57.9345938Z Stored in directory: /tmp/pip-ephem-wheel-cache-on95954w/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:18:57.9361251Z Successfully built torch_test_cpp_extension 2025-12-04T09:18:58.2935834Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:18:58.5558084Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:18:58.9421207Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T09:19:00.8299214Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:19:00.8322451Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T09:19:03.0139959Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:19:03.0147615Z [?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=2944 sha256=59521730977e2890c9f9303679abec71d9004c7b951325fc02df262d46dfbce3 2025-12-04T09:19:03.0148971Z Stored in directory: /tmp/pip-ephem-wheel-cache-mrq2sxaw/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80 2025-12-04T09:19:03.0166724Z Successfully built no_python_abi_suffix_test 2025-12-04T09:19:03.3797236Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T09:19:03.3865367Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T09:19:03.4958575Z * Getting build dependencies for wheel... 2025-12-04T09:19:04.9768530Z running egg_info 2025-12-04T09:19:04.9854431Z creating python_agnostic.egg-info 2025-12-04T09:19:04.9855100Z writing python_agnostic.egg-info/PKG-INFO 2025-12-04T09:19:04.9858826Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt 2025-12-04T09:19:04.9862249Z writing top-level names to python_agnostic.egg-info/top_level.txt 2025-12-04T09:19:04.9864608Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T09:19:05.0340661Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T09:19:05.0348080Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T09:19:05.4131173Z * Building wheel... 2025-12-04T09:19:06.8734235Z running bdist_wheel 2025-12-04T09:19:06.9361847Z running build 2025-12-04T09:19:06.9362149Z running build_ext 2025-12-04T09:19:06.9399709Z building 'python_agnostic._C' extension 2025-12-04T09:19:06.9403631Z creating /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc 2025-12-04T09:19:18.9586674Z [1/1] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.o.d -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.cu -o /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -DTORCH_API_INCLUDE_EXTENSION_H -DPy_LIMITED_API=0x030A0000 -DTORCH_EXTENSION_NAME=_C -gencode=arch=compute_86,code=sm_86 -std=c++17 2025-12-04T09:19:18.9651627Z creating build/lib.linux-x86_64-cpython-310/python_agnostic 2025-12-04T09:19:18.9656312Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -pthread -B /opt/conda/envs/py_3.10/compiler_compat -shared /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so 2025-12-04T09:19:19.4338830Z installing to build/bdist.linux-x86_64/wheel 2025-12-04T09:19:19.4339138Z running install 2025-12-04T09:19:19.4387094Z running install_lib 2025-12-04T09:19:19.4464853Z creating build/bdist.linux-x86_64/wheel 2025-12-04T09:19:19.4468093Z creating build/bdist.linux-x86_64/wheel/python_agnostic 2025-12-04T09:19:19.4469207Z copying build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so -> build/bdist.linux-x86_64/wheel/./python_agnostic 2025-12-04T09:19:19.4473933Z running install_egg_info 2025-12-04T09:19:19.4550341Z running egg_info 2025-12-04T09:19:19.4621090Z writing python_agnostic.egg-info/PKG-INFO 2025-12-04T09:19:19.4624536Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt 2025-12-04T09:19:19.4632156Z writing top-level names to python_agnostic.egg-info/top_level.txt 2025-12-04T09:19:19.4710305Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T09:19:19.4719933Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T09:19:19.4724784Z Copying python_agnostic.egg-info to build/bdist.linux-x86_64/wheel/./python_agnostic-0.0-py3.10.egg-info 2025-12-04T09:19:19.4731567Z running install_scripts 2025-12-04T09:19:19.4860777Z creating build/bdist.linux-x86_64/wheel/python_agnostic-0.0.dist-info/WHEEL 2025-12-04T09:19:19.4865683Z creating '/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/dist/.tmp-mjk_v5pl/python_agnostic-0.0-cp39-abi3-linux_x86_64.whl' and adding 'build/bdist.linux-x86_64/wheel' to it 2025-12-04T09:19:19.5040172Z adding 'python_agnostic/_C.so' 2025-12-04T09:19:19.5046400Z adding 'python_agnostic-0.0.dist-info/METADATA' 2025-12-04T09:19:19.5047176Z adding 'python_agnostic-0.0.dist-info/WHEEL' 2025-12-04T09:19:19.5048850Z adding 'python_agnostic-0.0.dist-info/top_level.txt' 2025-12-04T09:19:19.5049478Z adding 'python_agnostic-0.0.dist-info/RECORD' 2025-12-04T09:19:19.5050387Z removing build/bdist.linux-x86_64/wheel 2025-12-04T09:19:19.8471678Z Successfully built python_agnostic-0.0-cp39-abi3-linux_x86_64.whl 2025-12-04T09:19:20.1866730Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_2_9_extension 2025-12-04T09:19:22.0807079Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:19:22.0827959Z [?25hRequirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from libtorch_agnostic_2_9==0.0) (2.10.0a0+gitffd9b0f) 2025-12-04T09:19:22.0852927Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (3.18.0) 2025-12-04T09:19:22.0857677Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (4.12.2) 2025-12-04T09:19:22.0862335Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (1.13.3) 2025-12-04T09:19:22.0867344Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (2.8.8) 2025-12-04T09:19:22.0871957Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (3.1.6) 2025-12-04T09:19:22.0878633Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (2025.10.0) 2025-12-04T09:19:22.1266101Z 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->libtorch_agnostic_2_9==0.0) (1.3.0) 2025-12-04T09:19:22.1321300Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch->libtorch_agnostic_2_9==0.0) (3.0.3) 2025-12-04T09:19:22.1330771Z Building wheels for collected packages: libtorch_agnostic_2_9 2025-12-04T09:19:27.8688393Z Building wheel for libtorch_agnostic_2_9 (pyproject.toml) ... [?25l- \ | / done 2025-12-04T09:19:27.8697064Z [?25h Created wheel for libtorch_agnostic_2_9: filename=libtorch_agnostic_2_9-0.0-cp39-abi3-linux_x86_64.whl size=55944 sha256=f9f6eb2e8ead64765c842c2d3d7b96d72330c4cdebf27326e43f9d58f5e48e2f 2025-12-04T09:19:27.8698766Z Stored in directory: /tmp/pip-ephem-wheel-cache-__ve23d6/wheels/e1/56/0d/91ac1e918c8015b48f6a77f66abeeb8427a8788f7d37715e0e 2025-12-04T09:19:27.8718173Z Successfully built libtorch_agnostic_2_9 2025-12-04T09:19:28.1939704Z Installing collected packages: libtorch_agnostic_2_9 2025-12-04T09:19:28.2033632Z Successfully installed libtorch_agnostic_2_9-0.0 2025-12-04T09:19:28.5862367Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_2_10_extension 2025-12-04T09:19:30.4762457Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:19:30.4782167Z [?25hRequirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from libtorch_agnostic_2_10==0.0) (2.10.0a0+gitffd9b0f) 2025-12-04T09:19:30.4807417Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (3.18.0) 2025-12-04T09:19:30.4812645Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (4.12.2) 2025-12-04T09:19:30.4818177Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (1.13.3) 2025-12-04T09:19:30.4823309Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (2.8.8) 2025-12-04T09:19:30.4827405Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (3.1.6) 2025-12-04T09:19:30.4832302Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (2025.10.0) 2025-12-04T09:19:30.5221140Z 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->libtorch_agnostic_2_10==0.0) (1.3.0) 2025-12-04T09:19:30.5277079Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch->libtorch_agnostic_2_10==0.0) (3.0.3) 2025-12-04T09:19:30.5286679Z Building wheels for collected packages: libtorch_agnostic_2_10 2025-12-04T09:19:36.7113988Z Building wheel for libtorch_agnostic_2_10 (pyproject.toml) ... [?25l- \ | / - \ | done 2025-12-04T09:19:36.7124597Z [?25h Created wheel for libtorch_agnostic_2_10: filename=libtorch_agnostic_2_10-0.0-cp39-abi3-linux_x86_64.whl size=83385 sha256=bc947d83e256666bcd23aad27f571deafb516a1589ea76f0ea21823e7ede718b 2025-12-04T09:19:36.7125949Z Stored in directory: /tmp/pip-ephem-wheel-cache-t5oz2rsq/wheels/03/17/c4/d9b9dbd12b271a9a317a75e944d0966701385d67eac86f2c1a 2025-12-04T09:19:36.7141906Z Successfully built libtorch_agnostic_2_10 2025-12-04T09:19:37.0277408Z Installing collected packages: libtorch_agnostic_2_10 2025-12-04T09:19:37.0434302Z Successfully installed libtorch_agnostic_2_10-0.0 2025-12-04T09:19:37.1007794Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:37.1012001Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:37.100861] 2025-12-04T09:19:40.7228958Z 2025-12-04T09:19:40.7229866Z 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_d988541c374f737a_.log 2025-12-04T09:19:40.7230579Z Running 0 items in this shard: 2025-12-04T09:19:40.7230772Z 2025-12-04T09:19:40.7231052Z Finished test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:19:40.722677][1732.731358878], took 2.21min 2025-12-04T09:19:40.7309864Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-c9121405c0a8b90b.xml 2025-12-04T09:19:40.8243286Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:19:40.823986][1732.832669471] 2025-12-04T09:19:41.1724378Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:19:44.3592118Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:19:44.3611566Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:21:09.5168022Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - done 2025-12-04T09:21:09.5288989Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=13199558 sha256=04198fceaef2485a30b6bc389e1132bb59c232df119c6f8c50c24529efc93c12 2025-12-04T09:21:09.5292018Z Stored in directory: /tmp/pip-ephem-wheel-cache-f3gllw4_/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:21:09.5308023Z Successfully built torch_test_cpp_extension 2025-12-04T09:21:09.8923697Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:21:10.1096801Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:21:10.4949206Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T09:21:12.3714453Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:21:12.3734861Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T09:21:14.4425103Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ done 2025-12-04T09:21:14.4432768Z [?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=2944 sha256=a91837dd4edcd6901f51366ec8a7c5d9e511ecd25f3c67f48cd072bbb08d8f30 2025-12-04T09:21:14.4434297Z Stored in directory: /tmp/pip-ephem-wheel-cache-acz104i0/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80 2025-12-04T09:21:14.4452246Z Successfully built no_python_abi_suffix_test 2025-12-04T09:21:14.8099419Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T09:21:14.8210066Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T09:21:14.9299084Z * Getting build dependencies for wheel... 2025-12-04T09:21:16.4048931Z running egg_info 2025-12-04T09:21:16.4132259Z writing python_agnostic.egg-info/PKG-INFO 2025-12-04T09:21:16.4136689Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt 2025-12-04T09:21:16.4140354Z writing top-level names to python_agnostic.egg-info/top_level.txt 2025-12-04T09:21:16.4605082Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T09:21:16.4613645Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T09:21:16.8395350Z * Building wheel... 2025-12-04T09:21:18.3049295Z running bdist_wheel 2025-12-04T09:21:18.3678459Z running build 2025-12-04T09:21:18.3678716Z running build_ext 2025-12-04T09:21:18.3716286Z building 'python_agnostic._C' extension 2025-12-04T09:21:18.4450305Z ninja: no work to do. 2025-12-04T09:21:18.4491927Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -pthread -B /opt/conda/envs/py_3.10/compiler_compat -shared /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so 2025-12-04T09:21:18.9104155Z installing to build/bdist.linux-x86_64/wheel 2025-12-04T09:21:18.9104572Z running install 2025-12-04T09:21:18.9150798Z running install_lib 2025-12-04T09:21:18.9226897Z creating build/bdist.linux-x86_64/wheel 2025-12-04T09:21:18.9228807Z creating build/bdist.linux-x86_64/wheel/python_agnostic 2025-12-04T09:21:18.9230026Z copying build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so -> build/bdist.linux-x86_64/wheel/./python_agnostic 2025-12-04T09:21:18.9237435Z running install_egg_info 2025-12-04T09:21:18.9317576Z running egg_info 2025-12-04T09:21:18.9389805Z writing python_agnostic.egg-info/PKG-INFO 2025-12-04T09:21:18.9392560Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt 2025-12-04T09:21:18.9395288Z writing top-level names to python_agnostic.egg-info/top_level.txt 2025-12-04T09:21:18.9472237Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T09:21:18.9480039Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T09:21:18.9481430Z Copying python_agnostic.egg-info to build/bdist.linux-x86_64/wheel/./python_agnostic-0.0-py3.10.egg-info 2025-12-04T09:21:18.9488462Z running install_scripts 2025-12-04T09:21:18.9617463Z creating build/bdist.linux-x86_64/wheel/python_agnostic-0.0.dist-info/WHEEL 2025-12-04T09:21:18.9621449Z creating '/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/dist/.tmp-z12d8yo5/python_agnostic-0.0-cp39-abi3-linux_x86_64.whl' and adding 'build/bdist.linux-x86_64/wheel' to it 2025-12-04T09:21:18.9795530Z adding 'python_agnostic/_C.so' 2025-12-04T09:21:18.9800091Z adding 'python_agnostic-0.0.dist-info/METADATA' 2025-12-04T09:21:18.9800909Z adding 'python_agnostic-0.0.dist-info/WHEEL' 2025-12-04T09:21:18.9803954Z adding 'python_agnostic-0.0.dist-info/top_level.txt' 2025-12-04T09:21:18.9804336Z adding 'python_agnostic-0.0.dist-info/RECORD' 2025-12-04T09:21:18.9804649Z removing build/bdist.linux-x86_64/wheel 2025-12-04T09:21:19.3233567Z Successfully built python_agnostic-0.0-cp39-abi3-linux_x86_64.whl 2025-12-04T09:21:19.6619451Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_2_9_extension 2025-12-04T09:21:21.5544422Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:21:21.5564486Z [?25hRequirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from libtorch_agnostic_2_9==0.0) (2.10.0a0+gitffd9b0f) 2025-12-04T09:21:21.5591213Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (3.18.0) 2025-12-04T09:21:21.5595321Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (4.12.2) 2025-12-04T09:21:21.5600542Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (1.13.3) 2025-12-04T09:21:21.5605208Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (2.8.8) 2025-12-04T09:21:21.5608970Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (3.1.6) 2025-12-04T09:21:21.5614077Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (2025.10.0) 2025-12-04T09:21:21.6004830Z 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->libtorch_agnostic_2_9==0.0) (1.3.0) 2025-12-04T09:21:21.6060792Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch->libtorch_agnostic_2_9==0.0) (3.0.3) 2025-12-04T09:21:21.6070398Z Building wheels for collected packages: libtorch_agnostic_2_9 2025-12-04T09:21:24.0043226Z Building wheel for libtorch_agnostic_2_9 (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:21:24.0052174Z [?25h Created wheel for libtorch_agnostic_2_9: filename=libtorch_agnostic_2_9-0.0-cp39-abi3-linux_x86_64.whl size=55944 sha256=2d77206faf57036f526b65d1a9bfe8db4711d6372eaa133f75d5b4de8a2d19a6 2025-12-04T09:21:24.0053415Z Stored in directory: /tmp/pip-ephem-wheel-cache-re6z6qsj/wheels/e1/56/0d/91ac1e918c8015b48f6a77f66abeeb8427a8788f7d37715e0e 2025-12-04T09:21:24.0069878Z Successfully built libtorch_agnostic_2_9 2025-12-04T09:21:24.3224831Z Installing collected packages: libtorch_agnostic_2_9 2025-12-04T09:21:24.3360292Z Successfully installed libtorch_agnostic_2_9-0.0 2025-12-04T09:21:24.7221591Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_2_10_extension 2025-12-04T09:21:26.6146064Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:21:26.6165967Z [?25hRequirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from libtorch_agnostic_2_10==0.0) (2.10.0a0+gitffd9b0f) 2025-12-04T09:21:26.6191405Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (3.18.0) 2025-12-04T09:21:26.6196140Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (4.12.2) 2025-12-04T09:21:26.6200492Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (1.13.3) 2025-12-04T09:21:26.6204977Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (2.8.8) 2025-12-04T09:21:26.6208375Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (3.1.6) 2025-12-04T09:21:26.6212688Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (2025.10.0) 2025-12-04T09:21:26.6603558Z 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->libtorch_agnostic_2_10==0.0) (1.3.0) 2025-12-04T09:21:26.6657442Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch->libtorch_agnostic_2_10==0.0) (3.0.3) 2025-12-04T09:21:26.6667345Z Building wheels for collected packages: libtorch_agnostic_2_10 2025-12-04T09:21:29.1442433Z Building wheel for libtorch_agnostic_2_10 (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:21:29.1451895Z [?25h Created wheel for libtorch_agnostic_2_10: filename=libtorch_agnostic_2_10-0.0-cp39-abi3-linux_x86_64.whl size=83385 sha256=af167c9a5151300e87baadad0d7abee1446f6cf67f728ef70ac96baa18e30f0d 2025-12-04T09:21:29.1453251Z Stored in directory: /tmp/pip-ephem-wheel-cache-damqstmu/wheels/03/17/c4/d9b9dbd12b271a9a317a75e944d0966701385d67eac86f2c1a 2025-12-04T09:21:29.1469986Z Successfully built libtorch_agnostic_2_10 2025-12-04T09:21:29.4602838Z Installing collected packages: libtorch_agnostic_2_10 2025-12-04T09:21:29.4743552Z Successfully installed libtorch_agnostic_2_10-0.0 2025-12-04T09:21:29.5320482Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:29.5323764Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:29.531971] 2025-12-04T09:21:33.1543480Z 2025-12-04T09:21:33.1544981Z 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_06cddfc521413a47_.log 2025-12-04T09:21:33.1546438Z Running 0 items in this shard: 2025-12-04T09:21:33.1546779Z 2025-12-04T09:21:33.1547184Z Finished test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:21:33.154095][1845.162774925], took 1.87min 2025-12-04T09:21:33.1627871Z 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-8fa50a07da3b6b2c.xml 2025-12-04T09:21:33.2403476Z Running inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:21:33.239898][1845.248581951] 2025-12-04T09:21:33.2404038Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:33.2406224Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_collective_autotuning.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:33.240224] 2025-12-04T09:21:36.4109940Z 2025-12-04T09:21:36.4110783Z inductor/test_collective_autotuning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_collective_autotuning_1.1_c56812b9169d5e84_.log 2025-12-04T09:21:36.4111572Z Running 0 items in this shard: 2025-12-04T09:21:36.4111754Z 2025-12-04T09:21:36.4112065Z Finished inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:21:36.410661][1848.419345549], took 0.05min 2025-12-04T09:21:36.4190714Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_collective_autotuning/inductor.test_collective_autotuning-9b328c515859662a.xml 2025-12-04T09:21:36.4441642Z Running inductor/test_compiled_autograd 2/2 ... [2025-12-04 09:21:36.443848][1848.452532248] 2025-12-04T09:21:36.4442099Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:36.4445241Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_autograd.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:36.444146] 2025-12-04T09:21:45.5754045Z 2025-12-04T09:21:45.5755108Z inductor/test_compiled_autograd 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_autograd_2.2_469884bc9cc75d9e_.log 2025-12-04T09:21:45.5755850Z Running 0 items in this shard: 2025-12-04T09:21:45.5756026Z 2025-12-04T09:21:45.5756744Z Finished inductor/test_compiled_autograd 2/2 ... [2025-12-04 09:21:45.575095][1857.583779593], took 0.15min 2025-12-04T09:21:45.5837667Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_autograd/inductor.test_compiled_autograd-cc0a99610f8e83b7.xml 2025-12-04T09:21:45.6499535Z Running inductor/test_cpu_select_algorithm 1/1 ... [2025-12-04 09:21:45.649561][1857.658243828] 2025-12-04T09:21:45.6500695Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:45.6504593Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:45.649879] 2025-12-04T09:21:52.4271556Z 2025-12-04T09:21:52.4272561Z inductor/test_cpu_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_1.1_5777a3a4d97ff9f2_.log 2025-12-04T09:21:52.4273354Z Running 0 items in this shard: 2025-12-04T09:21:52.4273524Z 2025-12-04T09:21:52.4273831Z Finished inductor/test_cpu_select_algorithm 1/1 ... [2025-12-04 09:21:52.426813][1864.435497449], took 0.11min 2025-12-04T09:21:52.4356308Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_select_algorithm/inductor.test_cpu_select_algorithm-dcc1225c49be5b03.xml 2025-12-04T09:21:52.5038213Z Running inductor/test_halide 1/1 ... [2025-12-04 09:21:52.503485][1864.512167817] 2025-12-04T09:21:52.5038706Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:52.5041820Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_halide.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:52.503803] 2025-12-04T09:21:59.0808707Z 2025-12-04T09:21:59.0809669Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_1fe2dcd72ab65b41_.log 2025-12-04T09:21:59.0810256Z 2025-12-04T09:21:59.0810533Z Finished inductor/test_halide 1/1 ... [2025-12-04 09:21:59.080499][1871.08918315], took 0.11min 2025-12-04T09:21:59.0898505Z Running inductor/test_xpu_basic 1/1 ... [2025-12-04 09:21:59.089511][1871.098196416] 2025-12-04T09:21:59.0898952Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:59.0910058Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_xpu_basic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:59.089838] 2025-12-04T09:22:05.6665524Z 2025-12-04T09:22:05.6666316Z inductor/test_xpu_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_xpu_basic_1.1_4157de2b80adef9e_.log 2025-12-04T09:22:05.6666905Z 2025-12-04T09:22:05.6667165Z Finished inductor/test_xpu_basic 1/1 ... [2025-12-04 09:22:05.666092][1877.674774005], took 0.11min 2025-12-04T09:22:05.6756167Z Running inductor/test_mps_basic 1/1 ... [2025-12-04 09:22:05.675295][1877.683980374] 2025-12-04T09:22:05.6756596Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:05.6759815Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mps_basic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:05.675621] 2025-12-04T09:22:12.3023380Z 2025-12-04T09:22:12.3024410Z inductor/test_mps_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mps_basic_1.1_d8e8d15ca1e7f51d_.log 2025-12-04T09:22:12.3025630Z 2025-12-04T09:22:12.3025904Z Finished inductor/test_mps_basic 1/1 ... [2025-12-04 09:22:12.301964][1884.310648156], took 0.11min 2025-12-04T09:22:12.3114891Z Running xpu/test_gemm 1/1 ... [2025-12-04 09:22:12.310998][1884.319683734] 2025-12-04T09:22:12.3115742Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:12.3119468Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'xpu/test_gemm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:12.311347] 2025-12-04T09:22:16.2332404Z 2025-12-04T09:22:16.2333103Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_1364c16fe15479fb_.log 2025-12-04T09:22:16.2333704Z Running 0 items in this shard: 2025-12-04T09:22:16.2333915Z 2025-12-04T09:22:16.2334133Z Finished xpu/test_gemm 1/1 ... [2025-12-04 09:22:16.232917][1888.241601314], took 0.07min 2025-12-04T09:22:16.2419017Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_gemm/xpu.test_gemm-fa8281e990ac5460.xml 2025-12-04T09:22:16.3114775Z Running test_dataloader 2/2 ... [2025-12-04 09:22:16.311080][1888.319763047] 2025-12-04T09:22:16.3115190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:16.3118064Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dataloader.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:16.311453] 2025-12-04T09:22:20.7349302Z 2025-12-04T09:22:20.7350752Z test_dataloader 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_dataloader_2.2_6554fe40e8432415_.log 2025-12-04T09:22:20.7351514Z Running 0 items in this shard: 2025-12-04T09:22:20.7351688Z 2025-12-04T09:22:20.7351935Z Finished test_dataloader 2/2 ... [2025-12-04 09:22:20.734586][1892.743270483], took 0.07min 2025-12-04T09:22:20.7439971Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dataloader/test_dataloader-2351dfad75e1622e.xml 2025-12-04T09:22:20.7739523Z Running functorch/test_minifier 1/1 ... [2025-12-04 09:22:20.773498][1892.782182674] 2025-12-04T09:22:20.7740296Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:20.7741875Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_minifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:20.773813] 2025-12-04T09:22:24.2450893Z 2025-12-04T09:22:24.2451929Z functorch/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_minifier_1.1_9585b99c04300c84_.log 2025-12-04T09:22:24.2452660Z Running 0 items in this shard: 2025-12-04T09:22:24.2452830Z 2025-12-04T09:22:24.2453099Z Finished functorch/test_minifier 1/1 ... [2025-12-04 09:22:24.244742][1896.253426837], took 0.06min 2025-12-04T09:22:24.2542171Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_minifier/functorch.test_minifier-6e2e8e013040ad68.xml 2025-12-04T09:22:24.2780102Z Running higher_order_ops/test_invoke_quant 1/1 ... [2025-12-04 09:22:24.277654][1896.286338412] 2025-12-04T09:22:24.2780569Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:24.2783313Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_invoke_quant.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:24.277966] 2025-12-04T09:22:30.4540454Z 2025-12-04T09:22:30.4541290Z higher_order_ops/test_invoke_quant 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_quant_1.1_154e481f9ba3c49d_.log 2025-12-04T09:22:30.4542222Z Running 0 items in this shard: 2025-12-04T09:22:30.4542802Z 2025-12-04T09:22:30.4543113Z Finished higher_order_ops/test_invoke_quant 1/1 ... [2025-12-04 09:22:30.453756][1902.462439698], took 0.10min 2025-12-04T09:22:30.4631380Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_quant/higher_order_ops.test_invoke_quant-0dd2ac444380e01c.xml 2025-12-04T09:22:30.5250679Z Running torch_np/test_basic 1/1 ... [2025-12-04 09:22:30.524751][1902.533434125] 2025-12-04T09:22:30.5251080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:30.5255057Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_basic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:30.525090] 2025-12-04T09:22:34.8473843Z 2025-12-04T09:22:34.8474661Z torch_np/test_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_basic_1.1_d779562405514ba8_.log 2025-12-04T09:22:34.8475311Z Running 0 items in this shard: 2025-12-04T09:22:34.8475481Z 2025-12-04T09:22:34.8475720Z Finished torch_np/test_basic 1/1 ... [2025-12-04 09:22:34.847114][1906.855797024], took 0.07min 2025-12-04T09:22:34.8568809Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_basic/torch_np.test_basic-762f0cd608b7a1e2.xml 2025-12-04T09:22:34.8806371Z Running test_jiterator 1/1 ... [2025-12-04 09:22:34.880296][1906.888980503] 2025-12-04T09:22:34.8806784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:34.8809981Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jiterator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:34.880614] 2025-12-04T09:22:39.0034855Z 2025-12-04T09:22:39.0035580Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_ca8d9a9b5ec091a4_.log 2025-12-04T09:22:39.0036201Z Running 0 items in this shard: 2025-12-04T09:22:39.0036377Z 2025-12-04T09:22:39.0036608Z Finished test_jiterator 1/1 ... [2025-12-04 09:22:39.003058][1911.011742286], took 0.07min 2025-12-04T09:22:39.0127556Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jiterator/test_jiterator-ec37c9c4fe0f66a5.xml 2025-12-04T09:22:39.0401690Z Running test_native_functions 1/1 ... [2025-12-04 09:22:39.039852][1911.048536593] 2025-12-04T09:22:39.0402148Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:39.0405147Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_native_functions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:39.040154] 2025-12-04T09:22:42.2615263Z 2025-12-04T09:22:42.2615989Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_b6beb9c2e500a6d2_.log 2025-12-04T09:22:42.2616649Z Running 0 items in this shard: 2025-12-04T09:22:42.2616819Z 2025-12-04T09:22:42.2617067Z Finished test_native_functions 1/1 ... [2025-12-04 09:22:42.261201][1914.269883811], took 0.05min 2025-12-04T09:22:42.2712685Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_functions/test_native_functions-86d68e1548a0ea3f.xml 2025-12-04T09:22:42.3005915Z Running test_typing 1/1 ... [2025-12-04 09:22:42.300255][1914.308939062] 2025-12-04T09:22:42.3006371Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:42.3009998Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_typing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:42.300593] 2025-12-04T09:22:45.5211812Z 2025-12-04T09:22:45.5212641Z test_typing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_typing_1.1_cf017a02dcc1cd50_.log 2025-12-04T09:22:45.5213438Z Running 0 items in this shard: 2025-12-04T09:22:45.5213612Z 2025-12-04T09:22:45.5213830Z Finished test_typing 1/1 ... [2025-12-04 09:22:45.520873][1917.529557789], took 0.05min 2025-12-04T09:22:45.5310617Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_typing/test_typing-9b94e1d7650df6db.xml 2025-12-04T09:22:45.5730738Z Running higher_order_ops/test_with_effects 1/1 ... [2025-12-04 09:22:45.572739][1917.581423479] 2025-12-04T09:22:45.5731356Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:45.5735188Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_with_effects.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:45.573043] 2025-12-04T09:22:49.6953427Z 2025-12-04T09:22:49.6954466Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_2f522969a38fc321_.log 2025-12-04T09:22:49.6955216Z Running 0 items in this shard: 2025-12-04T09:22:49.6955412Z 2025-12-04T09:22:49.6955702Z Finished higher_order_ops/test_with_effects 1/1 ... [2025-12-04 09:22:49.694918][1921.703602059], took 0.07min 2025-12-04T09:22:49.7052052Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_with_effects/higher_order_ops.test_with_effects-f15772e964a49a43.xml 2025-12-04T09:22:49.7300681Z Running higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 09:22:49.729626][1921.738310324] 2025-12-04T09:22:49.7301233Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:49.7304237Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_invoke_subgraph.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:49.729946] 2025-12-04T09:22:56.0055031Z 2025-12-04T09:22:56.0056234Z higher_order_ops/test_invoke_subgraph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_ecad2ee41e717235_.log 2025-12-04T09:22:56.0057019Z Running 0 items in this shard: 2025-12-04T09:22:56.0057196Z 2025-12-04T09:22:56.0057529Z Finished higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 09:22:56.005169][1928.013852779], took 0.10min 2025-12-04T09:22:56.0156302Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-2e155212fa51ce36.xml 2025-12-04T09:22:56.0846105Z Running test_weak 1/1 ... [2025-12-04 09:22:56.084291][1928.092974592] 2025-12-04T09:22:56.0846599Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:56.0849985Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_weak.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:56.084603] 2025-12-04T09:22:59.3556935Z 2025-12-04T09:22:59.3557765Z test_weak 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_weak_1.1_7590ac089a9dbf7d_.log 2025-12-04T09:22:59.3558492Z Running 0 items in this shard: 2025-12-04T09:22:59.3559053Z 2025-12-04T09:22:59.3559270Z Finished test_weak 1/1 ... [2025-12-04 09:22:59.355364][1931.364046798], took 0.05min 2025-12-04T09:22:59.3663455Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_weak/test_weak-d2c42d6becb96167.xml 2025-12-04T09:22:59.3999900Z Running test_decomp 1/16 ... [2025-12-04 09:22:59.399669][1931.408353227] 2025-12-04T09:22:59.4000281Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:59.4003616Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=1', '--num-shards=16', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:59.400007] 2025-12-04T09:23:19.1519148Z 2025-12-04T09:23:19.1520030Z test_decomp 1/16 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_1.16_9090dd066efc3875_.log 2025-12-04T09:23:19.1520648Z Running 0 items in this shard: 2025-12-04T09:23:19.1520818Z 2025-12-04T09:23:19.1521030Z Finished test_decomp 1/16 ... [2025-12-04 09:23:19.151559][1951.160243551], took 0.33min 2025-12-04T09:23:19.1623676Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-3368d90d9e9576a9.xml 2025-12-04T09:23:19.2287310Z Running test_decomp 4/16 ... [2025-12-04 09:23:19.228397][1951.23708134] 2025-12-04T09:23:19.2287707Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:19.2291099Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=4', '--num-shards=16', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:19.228733] 2025-12-04T09:23:39.0793442Z 2025-12-04T09:23:39.0794289Z test_decomp 4/16 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_4.16_03c6621c3fdc6fe6_.log 2025-12-04T09:23:39.0794879Z Running 0 items in this shard: 2025-12-04T09:23:39.0795054Z 2025-12-04T09:23:39.0795261Z Finished test_decomp 4/16 ... [2025-12-04 09:23:39.078964][1971.0876478], took 0.33min 2025-12-04T09:23:39.0902269Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-1aafa8f0c71a1120.xml 2025-12-04T09:23:39.1606918Z Running test_decomp 9/16 ... [2025-12-04 09:23:39.160181][1971.168864316] 2025-12-04T09:23:39.1607914Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:39.1610011Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=9', '--num-shards=16', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:39.160501] 2025-12-04T09:23:58.8119028Z 2025-12-04T09:23:58.8119743Z test_decomp 9/16 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_9.16_74f4f5f1b41a1763_.log 2025-12-04T09:23:58.8120346Z Running 0 items in this shard: 2025-12-04T09:23:58.8120524Z 2025-12-04T09:23:58.8120739Z Finished test_decomp 9/16 ... [2025-12-04 09:23:58.811423][1990.820106936], took 0.33min 2025-12-04T09:23:58.8225064Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-2885dd032f1cb27c.xml 2025-12-04T09:23:58.9014546Z Running test_decomp 10/16 ... [2025-12-04 09:23:58.901080][1990.909762174] 2025-12-04T09:23:58.9015478Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:58.9019779Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=10', '--num-shards=16', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:58.901461] 2025-12-04T09:24:18.7522779Z 2025-12-04T09:24:18.7523772Z test_decomp 10/16 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_10.16_9b9ec960afd2dbee_.log 2025-12-04T09:24:18.7524756Z Running 0 items in this shard: 2025-12-04T09:24:18.7525048Z 2025-12-04T09:24:18.7525390Z Finished test_decomp 10/16 ... [2025-12-04 09:24:18.751809][2010.76049278], took 0.33min 2025-12-04T09:24:18.7632836Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-eb0d39c544c90bbe.xml 2025-12-04T09:24:18.8397520Z Running test_decomp 13/16 ... [2025-12-04 09:24:18.839341][2010.848022708] 2025-12-04T09:24:18.8398544Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:18.8400900Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=13', '--num-shards=16', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:18.839676] 2025-12-04T09:24:38.7407612Z 2025-12-04T09:24:38.7408424Z test_decomp 13/16 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_13.16_ff64a57923ed52e3_.log 2025-12-04T09:24:38.7409019Z Running 0 items in this shard: 2025-12-04T09:24:38.7409192Z 2025-12-04T09:24:38.7409409Z Finished test_decomp 13/16 ... [2025-12-04 09:24:38.740417][2030.749100921], took 0.33min 2025-12-04T09:24:38.7517763Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-017bf9ccbb923b55.xml 2025-12-04T09:24:38.8300357Z Running test_hub 1/1 ... [2025-12-04 09:24:38.829671][2030.838353986] 2025-12-04T09:24:38.8300778Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:38.8304373Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_hub.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:38.830028] 2025-12-04T09:24:42.0511480Z 2025-12-04T09:24:42.0512001Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_c36492302ab6e036_.log 2025-12-04T09:24:42.0512564Z Running 0 items in this shard: 2025-12-04T09:24:42.0512736Z 2025-12-04T09:24:42.0512933Z Finished test_hub 1/1 ... [2025-12-04 09:24:42.050776][2034.059459776], took 0.05min 2025-12-04T09:24:42.0626028Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_hub/test_hub-f0f58e0e88733389.xml 2025-12-04T09:24:42.0883545Z Running test_segment_reductions 1/1 ... [2025-12-04 09:24:42.088025][2034.09670889] 2025-12-04T09:24:42.0883971Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:42.0887075Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_segment_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:42.088350] 2025-12-04T09:24:45.9099457Z 2025-12-04T09:24:45.9100376Z test_segment_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_segment_reductions_1.1_e7537c5b2011c75a_.log 2025-12-04T09:24:45.9101269Z Running 0 items in this shard: 2025-12-04T09:24:45.9101441Z 2025-12-04T09:24:45.9101697Z Finished test_segment_reductions 1/1 ... [2025-12-04 09:24:45.909626][2037.91830953], took 0.06min 2025-12-04T09:24:45.9213547Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_segment_reductions/test_segment_reductions-acb897421100c589.xml 2025-12-04T09:24:45.9490078Z Running test_type_hints 1/1 ... [2025-12-04 09:24:45.948682][2037.957366623] 2025-12-04T09:24:45.9490635Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:45.9494317Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_hints.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:45.948997] 2025-12-04T09:24:49.1700589Z 2025-12-04T09:24:49.1702477Z test_type_hints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_hints_1.1_e5ad2e59c1d7ea52_.log 2025-12-04T09:24:49.1703840Z Running 0 items in this shard: 2025-12-04T09:24:49.1704209Z 2025-12-04T09:24:49.1704660Z Finished test_type_hints 1/1 ... [2025-12-04 09:24:49.169721][2041.178404033], took 0.05min 2025-12-04T09:24:49.1817114Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_hints/test_type_hints-4546c3a185d6d30b.xml 2025-12-04T09:24:49.2124937Z Running functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 09:24:49.212139][2041.220823242] 2025-12-04T09:24:49.2125494Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:49.2130094Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aot_joint_with_descriptors.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:49.212471] 2025-12-04T09:24:52.7338982Z 2025-12-04T09:24:52.7340227Z functorch/test_aot_joint_with_descriptors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aot_joint_with_descriptors_1.1_a2f19537bce8c819_.log 2025-12-04T09:24:52.7341063Z Running 0 items in this shard: 2025-12-04T09:24:52.7341242Z 2025-12-04T09:24:52.7341566Z Finished functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 09:24:52.733568][2044.742252105], took 0.06min 2025-12-04T09:24:52.7457481Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aot_joint_with_descriptors/functorch.test_aot_joint_with_descriptors-5858109dce4c2609.xml 2025-12-04T09:24:52.7729489Z Running test_nestedtensor 1/1 ... [2025-12-04 09:24:52.772501][2044.781181686] 2025-12-04T09:24:52.7730566Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:52.7733552Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:52.772870] 2025-12-04T09:25:00.7510951Z 2025-12-04T09:25:00.7511869Z test_nestedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.1_43b62b30a5696ac9_.log 2025-12-04T09:25:00.7512569Z Running 0 items in this shard: 2025-12-04T09:25:00.7512738Z 2025-12-04T09:25:00.7513010Z Finished test_nestedtensor 1/1 ... [2025-12-04 09:25:00.750711][2052.759394467], took 0.13min 2025-12-04T09:25:00.7635932Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-50bd3ef7e67e8def.xml 2025-12-04T09:25:00.8432652Z Running test_linalg 1/1 ... [2025-12-04 09:25:00.842890][2052.851573176] 2025-12-04T09:25:00.8433181Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:00.8436462Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_linalg.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:00.843203] 2025-12-04T09:25:07.3194669Z 2025-12-04T09:25:07.3195530Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_3bc5dd7ed6a39dfe_.log 2025-12-04T09:25:07.3196538Z Running 0 items in this shard: 2025-12-04T09:25:07.3196717Z 2025-12-04T09:25:07.3196928Z Finished test_linalg 1/1 ... [2025-12-04 09:25:07.319055][2059.327740061], took 0.11min 2025-12-04T09:25:07.3328223Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_linalg/test_linalg-114510f9c7a5538a.xml 2025-12-04T09:25:07.3931775Z Running test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:25:07.392805][2059.401487936] 2025-12-04T09:25:07.3932405Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:07.3936147Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functionalization_of_rng_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:07.393164] 2025-12-04T09:25:11.3154569Z 2025-12-04T09:25:11.3155791Z test_functionalization_of_rng_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_of_rng_ops_1.1_4572577dc3b476ee_.log 2025-12-04T09:25:11.3156546Z Running 0 items in this shard: 2025-12-04T09:25:11.3156711Z 2025-12-04T09:25:11.3156998Z Finished test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:25:11.315048][2063.323731819], took 0.07min 2025-12-04T09:25:11.3277213Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization_of_rng_ops/test_functionalization_of_rng_ops-c5959e129f4ab7d1.xml 2025-12-04T09:25:11.3551583Z Running test_fx_reinplace_pass 1/1 ... [2025-12-04 09:25:11.354820][2063.363503974] 2025-12-04T09:25:11.3552192Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:11.3556204Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_reinplace_pass.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:11.355177] 2025-12-04T09:25:14.6257891Z 2025-12-04T09:25:14.6259670Z test_fx_reinplace_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_reinplace_pass_1.1_8af05fd26b153328_.log 2025-12-04T09:25:14.6261130Z Running 0 items in this shard: 2025-12-04T09:25:14.6261469Z 2025-12-04T09:25:14.6261956Z Finished test_fx_reinplace_pass 1/1 ... [2025-12-04 09:25:14.625364][2066.634048971], took 0.05min 2025-12-04T09:25:14.6383938Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_reinplace_pass/test_fx_reinplace_pass-c33d50638956e339.xml 2025-12-04T09:25:14.6642976Z Running functorch/test_control_flow 1/1 ... [2025-12-04 09:25:14.663888][2066.672572432] 2025-12-04T09:25:14.6643582Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:14.6647127Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_control_flow.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:14.664195] 2025-12-04T09:25:22.2918005Z 2025-12-04T09:25:22.2919011Z functorch/test_control_flow 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_control_flow_1.1_54b04b6a826ba4ee_.log 2025-12-04T09:25:22.2919760Z Running 0 items in this shard: 2025-12-04T09:25:22.2919990Z 2025-12-04T09:25:22.2920372Z Finished functorch/test_control_flow 1/1 ... [2025-12-04 09:25:22.291479][2074.300163676], took 0.13min 2025-12-04T09:25:22.3044953Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_control_flow/functorch.test_control_flow-5753026e2c54260f.xml 2025-12-04T09:25:22.3706461Z Running test_cuda_expandable_segments 1/1 ... [2025-12-04 09:25:22.370205][2074.378887217] 2025-12-04T09:25:22.3707644Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:22.3709577Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:22.370519] 2025-12-04T09:25:27.8452893Z 2025-12-04T09:25:27.8453902Z 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_813e313199c54f5f_.log 2025-12-04T09:25:27.8483756Z Running 100 items in this shard: test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory 2025-12-04T09:25:27.8512942Z 2025-12-04T09:25:27.8513554Z Finished test_cuda_expandable_segments 1/1 ... [2025-12-04 09:25:27.844984][2079.853668516], took 0.09min 2025-12-04T09:25:27.8583309Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_expandable_segments/test_cuda_expandable_segments-540908ceb03ef2ae.xml 2025-12-04T09:25:27.9173813Z Running test_modules 1/2 ... [2025-12-04 09:25:27.917039][2079.925723418] 2025-12-04T09:25:27.9174207Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:27.9176919Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_modules.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:27.917340] 2025-12-04T09:25:38.9503545Z 2025-12-04T09:25:38.9504230Z test_modules 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_1.2_cf5d9140f3efb106_.log 2025-12-04T09:25:38.9504843Z Running 0 items in this shard: 2025-12-04T09:25:38.9505010Z 2025-12-04T09:25:38.9505230Z Finished test_modules 1/2 ... [2025-12-04 09:25:38.949952][2090.958636873], took 0.18min 2025-12-04T09:25:38.9633388Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_modules/test_modules-9eb03166dee0e8ce.xml 2025-12-04T09:25:39.0249825Z Running optim/test_swa_utils 1/1 ... [2025-12-04 09:25:39.024576][2091.033258572] 2025-12-04T09:25:39.0250653Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:39.0253126Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:39.024900] 2025-12-04T09:25:42.1458445Z 2025-12-04T09:25:42.1459100Z 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_abac3cb3191e07d4_.log 2025-12-04T09:25:42.1459735Z 2025-12-04T09:25:42.1459981Z Finished optim/test_swa_utils 1/1 ... [2025-12-04 09:25:42.145490][2094.154174932], took 0.05min 2025-12-04T09:25:42.1594868Z Running functorch/test_ops 2/2 ... [2025-12-04 09:25:42.159154][2094.16783966] 2025-12-04T09:25:42.1595271Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:42.1598307Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:42.159477] 2025-12-04T09:26:04.5123578Z 2025-12-04T09:26:04.5124373Z functorch/test_ops 2/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_2.2_e3dcc5c22b725712_.log 2025-12-04T09:26:04.5125020Z Running 0 items in this shard: 2025-12-04T09:26:04.5125187Z 2025-12-04T09:26:04.5125432Z Finished functorch/test_ops 2/2 ... [2025-12-04 09:26:04.511908][2116.520592221], took 0.37min 2025-12-04T09:26:04.5266593Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-d5109ad8c162ce77.xml 2025-12-04T09:26:04.5926329Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 09:26:04.592296][2116.600978811] 2025-12-04T09:26:04.5926849Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:04.5930567Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_shape_base_.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:04.592706] 2025-12-04T09:26:07.9130493Z 2025-12-04T09:26:07.9131366Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_shape_base__1.1_b0271fbab711ad62_.log 2025-12-04T09:26:07.9132160Z Running 0 items in this shard: 2025-12-04T09:26:07.9132333Z 2025-12-04T09:26:07.9132657Z Finished torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 09:26:07.912735][2119.921419052], took 0.06min 2025-12-04T09:26:07.9273573Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_shape_base_/torch_np.numpy_tests.lib.test_shape_base_-2acdcdcce0c0512a.xml 2025-12-04T09:26:07.9537200Z Running torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 09:26:07.953411][2119.962095573] 2025-12-04T09:26:07.9537696Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:07.9540795Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_getlimits.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:07.953749] 2025-12-04T09:26:11.1746273Z 2025-12-04T09:26:11.1747330Z torch_np/numpy_tests/core/test_getlimits 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_getlimits_1.1_bb09a4c58ef442b5_.log 2025-12-04T09:26:11.1748169Z Running 0 items in this shard: 2025-12-04T09:26:11.1748346Z 2025-12-04T09:26:11.1748667Z Finished torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 09:26:11.174226][2123.182910676], took 0.05min 2025-12-04T09:26:11.1880629Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_getlimits/torch_np.numpy_tests.core.test_getlimits-47e88d3c046d8fae.xml 2025-12-04T09:26:11.2131034Z Running torch_np/test_ndarray_methods 1/1 ... [2025-12-04 09:26:11.212653][2123.221337493] 2025-12-04T09:26:11.2131647Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:11.2134117Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_ndarray_methods.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:11.212987] 2025-12-04T09:26:15.0346881Z 2025-12-04T09:26:15.0347846Z torch_np/test_ndarray_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ndarray_methods_1.1_2f4e38cd999ce2e7_.log 2025-12-04T09:26:15.0348558Z Running 0 items in this shard: 2025-12-04T09:26:15.0348732Z 2025-12-04T09:26:15.0349255Z Finished torch_np/test_ndarray_methods 1/1 ... [2025-12-04 09:26:15.034340][2127.043024412], took 0.06min 2025-12-04T09:26:15.0483578Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_ndarray_methods/torch_np.test_ndarray_methods-3c974bf57fff1bcc.xml 2025-12-04T09:26:15.0767730Z Running test_view_ops 1/1 ... [2025-12-04 09:26:15.076435][2127.085119907] 2025-12-04T09:26:15.0768153Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:15.0771415Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_view_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:15.076777] 2025-12-04T09:26:19.2990715Z 2025-12-04T09:26:19.2991536Z test_view_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_view_ops_1.1_c4a0d3c78a871406_.log 2025-12-04T09:26:19.2992321Z Running 0 items in this shard: 2025-12-04T09:26:19.2992530Z 2025-12-04T09:26:19.2992825Z Finished test_view_ops 1/1 ... [2025-12-04 09:26:19.298727][2131.307410339], took 0.07min 2025-12-04T09:26:19.3131550Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_view_ops/test_view_ops-860fcc231234f45f.xml 2025-12-04T09:26:19.3406908Z Running test_type_info 1/1 ... [2025-12-04 09:26:19.340354][2131.34903781] 2025-12-04T09:26:19.3407431Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:19.3410305Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_info.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:19.340686] 2025-12-04T09:26:22.5608624Z 2025-12-04T09:26:22.5609168Z test_type_info 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_info_1.1_9b8933c96ae48d89_.log 2025-12-04T09:26:22.5609777Z Running 0 items in this shard: 2025-12-04T09:26:22.5609949Z 2025-12-04T09:26:22.5610165Z Finished test_type_info 1/1 ... [2025-12-04 09:26:22.560562][2134.569246507], took 0.05min 2025-12-04T09:26:22.5749697Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_info/test_type_info-19e2f3edb997b23d.xml 2025-12-04T09:26:22.6021269Z Running functorch/test_aotdispatch 1/1 ... [2025-12-04 09:26:22.601779][2134.610463424] 2025-12-04T09:26:22.6021702Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:22.6025085Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:22.602121] 2025-12-04T09:26:29.0282195Z 2025-12-04T09:26:29.0283158Z functorch/test_aotdispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.1_ed0fb398a559a312_.log 2025-12-04T09:26:29.0283885Z Running 0 items in this shard: 2025-12-04T09:26:29.0284061Z 2025-12-04T09:26:29.0284338Z Finished functorch/test_aotdispatch 1/1 ... [2025-12-04 09:26:29.027805][2141.036489717], took 0.11min 2025-12-04T09:26:29.0433928Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-d42758e18cbbf39f.xml 2025-12-04T09:26:29.1117713Z Running torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 09:26:29.111419][2141.120101233] 2025-12-04T09:26:29.1118207Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:29.1121663Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dlpack.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:29.111763] 2025-12-04T09:26:32.4323399Z 2025-12-04T09:26:32.4324100Z torch_np/numpy_tests/core/test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dlpack_1.1_6b922f2483326258_.log 2025-12-04T09:26:32.4324878Z Running 0 items in this shard: 2025-12-04T09:26:32.4325060Z 2025-12-04T09:26:32.4325364Z Finished torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 09:26:32.432006][2144.440690532], took 0.06min 2025-12-04T09:26:32.4467586Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_dlpack/torch_np.numpy_tests.core.test_dlpack-9d84554748764c06.xml 2025-12-04T09:26:32.4770989Z Running test_scatter_gather_ops 1/1 ... [2025-12-04 09:26:32.476634][2144.485318845] 2025-12-04T09:26:32.4771434Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:32.4775280Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_scatter_gather_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:32.476963] 2025-12-04T09:26:36.2981603Z 2025-12-04T09:26:36.2982755Z test_scatter_gather_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_scatter_gather_ops_1.1_a11d9a52b9cf4b6e_.log 2025-12-04T09:26:36.2983478Z Running 0 items in this shard: 2025-12-04T09:26:36.2983649Z 2025-12-04T09:26:36.2983915Z Finished test_scatter_gather_ops 1/1 ... [2025-12-04 09:26:36.297712][2148.30639629], took 0.06min 2025-12-04T09:26:36.3137394Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_scatter_gather_ops/test_scatter_gather_ops-953af6f0da41018a.xml 2025-12-04T09:26:36.3444660Z Running test_cuda_multigpu 1/1 ... [2025-12-04 09:26:36.344135][2148.352819174] 2025-12-04T09:26:36.3445212Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:36.3448596Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_multigpu.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:36.344460] 2025-12-04T09:26:39.9653288Z 2025-12-04T09:26:39.9654025Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_571b42ebdc2e6846_.log 2025-12-04T09:26:39.9654696Z Running 0 items in this shard: 2025-12-04T09:26:39.9654874Z 2025-12-04T09:26:39.9655111Z Finished test_cuda_multigpu 1/1 ... [2025-12-04 09:26:39.964989][2151.973672808], took 0.06min 2025-12-04T09:26:39.9799534Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_multigpu/test_cuda_multigpu-dafe1e449b9568b0.xml 2025-12-04T09:26:40.0052154Z Running functorch/test_vmap 1/1 ... [2025-12-04 09:26:40.004867][2152.01355147] 2025-12-04T09:26:40.0052936Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:40.0056045Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:40.005195] 2025-12-04T09:26:48.9355101Z 2025-12-04T09:26:48.9356292Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_31d625be68334c51_.log 2025-12-04T09:26:48.9356969Z Running 0 items in this shard: 2025-12-04T09:26:48.9357151Z 2025-12-04T09:26:48.9357735Z Finished functorch/test_vmap 1/1 ... [2025-12-04 09:26:48.935171][2160.943852235], took 0.15min 2025-12-04T09:26:48.9504680Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap/functorch.test_vmap-4a5c724f75053ec6.xml 2025-12-04T09:26:49.0162702Z Running torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-12-04 09:26:49.015927][2161.024609789] 2025-12-04T09:26:49.0163205Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:49.0166201Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_index_tricks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:49.016243] 2025-12-04T09:26:52.2869262Z 2025-12-04T09:26:52.2871992Z torch_np/numpy_tests/lib/test_index_tricks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_index_tricks_1.1_c36e4b233d90317c_.log 2025-12-04T09:26:52.2874196Z Running 0 items in this shard: 2025-12-04T09:26:52.2874479Z 2025-12-04T09:26:52.2875030Z Finished torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-12-04 09:26:52.286590][2164.295270509], took 0.05min 2025-12-04T09:26:52.3025165Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_index_tricks/torch_np.numpy_tests.lib.test_index_tricks-0f2dded02a26b56c.xml 2025-12-04T09:26:52.3288991Z Running test_jit_autocast 1/1 ... [2025-12-04 09:26:52.328535][2164.337219974] 2025-12-04T09:26:52.3289647Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:52.3292561Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_autocast.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:52.328857] 2025-12-04T09:26:57.8607756Z 2025-12-04T09:26:57.8608742Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_b11b9c1a93339081_.log 2025-12-04T09:26:57.8609374Z Running 0 items in this shard: 2025-12-04T09:26:57.8609544Z 2025-12-04T09:26:57.8609781Z Finished test_jit_autocast 1/1 ... [2025-12-04 09:26:57.860324][2169.869008605], took 0.09min 2025-12-04T09:26:57.8760083Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_autocast/test_jit_autocast-acccf8e8a04374c0.xml 2025-12-04T09:26:57.9057175Z Running nn/test_embedding 1/1 ... [2025-12-04 09:26:57.905395][2169.914078562] 2025-12-04T09:26:57.9057709Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:57.9060584Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_embedding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:57.905699] 2025-12-04T09:27:01.8291309Z 2025-12-04T09:27:01.8292213Z nn/test_embedding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_embedding_1.1_28bc83bc943bd19b_.log 2025-12-04T09:27:01.8292865Z Running 0 items in this shard: 2025-12-04T09:27:01.8293046Z 2025-12-04T09:27:01.8293285Z Finished nn/test_embedding 1/1 ... [2025-12-04 09:27:01.828770][2173.837454281], took 0.07min 2025-12-04T09:27:01.8446465Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_embedding/nn.test_embedding-d1452258b3b46ffc.xml 2025-12-04T09:27:01.8694597Z Running test_unary_ufuncs 1/1 ... [2025-12-04 09:27:01.869029][2173.877713358] 2025-12-04T09:27:01.8695030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:01.8697064Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_unary_ufuncs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:01.869333] 2025-12-04T09:27:51.0689640Z 2025-12-04T09:27:51.0693446Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_935c7e68ff7153af_.log 2025-12-04T09:27:51.0694465Z Running 0 items in this shard: 2025-12-04T09:27:51.0694757Z 2025-12-04T09:27:51.0695104Z Finished test_unary_ufuncs 1/1 ... [2025-12-04 09:27:51.068586][2223.0772709], took 0.82min 2025-12-04T09:27:51.0852165Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-9ce340f83d4600c2.xml 2025-12-04T09:27:51.4195200Z Uploading artifacts took 0.27 seconds 2025-12-04T09:27:51.4199000Z Running test_xnnpack_integration 1/1 ... [2025-12-04 09:27:51.419605][2223.428287728] 2025-12-04T09:27:51.4199567Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:51.4203424Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:51.419989] 2025-12-04T09:27:54.6902343Z 2025-12-04T09:27:54.6903363Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_e44e102b376b183c_.log 2025-12-04T09:27:54.6904168Z Running 0 items in this shard: 2025-12-04T09:27:54.6904337Z 2025-12-04T09:27:54.6904604Z Finished test_xnnpack_integration 1/1 ... [2025-12-04 09:27:54.689852][2226.698537182], took 0.05min 2025-12-04T09:27:54.7058656Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_xnnpack_integration/test_xnnpack_integration-ca219fec731b8583.xml 2025-12-04T09:27:54.7257888Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 09:27:54.725366][2226.734050196] 2025-12-04T09:27:54.7259297Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:54.7263182Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:54.725676] 2025-12-04T09:27:57.9960671Z 2025-12-04T09:27:57.9961717Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_22b7c166d4732d16_.log 2025-12-04T09:27:57.9962549Z Running 0 items in this shard: 2025-12-04T09:27:57.9962719Z 2025-12-04T09:27:57.9963069Z Finished torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 09:27:57.995645][2230.0043299], took 0.05min 2025-12-04T09:27:58.0119333Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numerictypes/torch_np.numpy_tests.core.test_numerictypes-23e448c25a481aa7.xml 2025-12-04T09:27:58.0364784Z Running test_function_schema 1/1 ... [2025-12-04 09:27:58.036157][2230.044841978] 2025-12-04T09:27:58.0365349Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:58.0368042Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_function_schema.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:58.036456] 2025-12-04T09:28:01.2566659Z 2025-12-04T09:28:01.2567776Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_aec2badf236110f6_.log 2025-12-04T09:28:01.2568446Z Running 0 items in this shard: 2025-12-04T09:28:01.2568618Z 2025-12-04T09:28:01.2568870Z Finished test_function_schema 1/1 ... [2025-12-04 09:28:01.256343][2233.26502762], took 0.05min 2025-12-04T09:28:01.2727452Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_function_schema/test_function_schema-6f3598fc8657c828.xml 2025-12-04T09:28:01.2939767Z Running test_accelerator 1/1 ... [2025-12-04 09:28:01.293630][2233.302313533] 2025-12-04T09:28:01.2940177Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:01.2943001Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_accelerator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:01.293928] 2025-12-04T09:28:04.5643040Z 2025-12-04T09:28:04.5643795Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_cff1e21d173ee29a_.log 2025-12-04T09:28:04.5644430Z Running 0 items in this shard: 2025-12-04T09:28:04.5644606Z 2025-12-04T09:28:04.5644849Z Finished test_accelerator 1/1 ... [2025-12-04 09:28:04.563954][2236.572638657], took 0.05min 2025-12-04T09:28:04.5804779Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_accelerator/test_accelerator-9ca6e659af842afe.xml 2025-12-04T09:28:04.6030296Z Running nn/test_init 1/1 ... [2025-12-04 09:28:04.602734][2236.611418747] 2025-12-04T09:28:04.6030861Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:04.6033901Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_init.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:04.603041] 2025-12-04T09:28:08.2240991Z 2025-12-04T09:28:08.2241844Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_daab6e17fe8e9743_.log 2025-12-04T09:28:08.2242481Z Running 0 items in this shard: 2025-12-04T09:28:08.2242659Z 2025-12-04T09:28:08.2242867Z Finished nn/test_init 1/1 ... [2025-12-04 09:28:08.223725][2240.232409558], took 0.06min 2025-12-04T09:28:08.2403425Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_init/nn.test_init-f940349ce15e70ed.xml 2025-12-04T09:28:08.2669027Z Running torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 09:28:08.266500][2240.275184] 2025-12-04T09:28:08.2669693Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:08.2671674Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_methods.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:08.266796] 2025-12-04T09:28:11.5871532Z 2025-12-04T09:28:11.5872518Z torch_np/numpy_tests/core/test_scalar_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_methods_1.1_9cd6c697c03bf625_.log 2025-12-04T09:28:11.5873392Z Running 0 items in this shard: 2025-12-04T09:28:11.5873564Z 2025-12-04T09:28:11.5873898Z Finished torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 09:28:11.586795][2243.595479118], took 0.06min 2025-12-04T09:28:11.6036956Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_methods/torch_np.numpy_tests.core.test_scalar_methods-a93f2020861190e6.xml 2025-12-04T09:28:11.6277586Z Running torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 09:28:11.627299][2243.635983486] 2025-12-04T09:28:11.6278251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:11.6279959Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_helper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:11.627609] 2025-12-04T09:28:14.8476233Z 2025-12-04T09:28:14.8477098Z torch_np/numpy_tests/fft/test_helper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_helper_1.1_c1dd448b73989a24_.log 2025-12-04T09:28:14.8477916Z Running 0 items in this shard: 2025-12-04T09:28:14.8478086Z 2025-12-04T09:28:14.8478396Z Finished torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 09:28:14.847290][2246.855973808], took 0.05min 2025-12-04T09:28:14.8642024Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.fft.test_helper/torch_np.numpy_tests.fft.test_helper-5eed641298759b40.xml 2025-12-04T09:28:14.8881903Z Running torch_np/test_function_base 1/1 ... [2025-12-04 09:28:14.887857][2246.896541606] 2025-12-04T09:28:14.8882542Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:14.8885382Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_function_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:14.888153] 2025-12-04T09:28:18.1089809Z 2025-12-04T09:28:18.1091002Z torch_np/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_function_base_1.1_7a786c740ffb83f7_.log 2025-12-04T09:28:18.1091721Z Running 0 items in this shard: 2025-12-04T09:28:18.1091891Z 2025-12-04T09:28:18.1092190Z Finished torch_np/test_function_base 1/1 ... [2025-12-04 09:28:18.108639][2250.117323266], took 0.05min 2025-12-04T09:28:18.1257459Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_function_base/torch_np.test_function_base-c61fd12d27fac4de.xml 2025-12-04T09:28:18.1539533Z Running test_type_promotion 1/1 ... [2025-12-04 09:28:18.153614][2250.162299243] 2025-12-04T09:28:18.1540082Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:18.1543409Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_promotion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:18.153906] 2025-12-04T09:28:22.6267572Z 2025-12-04T09:28:22.6268750Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_8c9c78ec8b27cbdf_.log 2025-12-04T09:28:22.6269441Z Running 0 items in this shard: 2025-12-04T09:28:22.6269615Z 2025-12-04T09:28:22.6269867Z Finished test_type_promotion 1/1 ... [2025-12-04 09:28:22.626428][2254.635113214], took 0.07min 2025-12-04T09:28:22.6441638Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_promotion/test_type_promotion-a433f13c01e2cc0e.xml 2025-12-04T09:28:22.6654003Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 09:28:22.665067][2254.673751812] 2025-12-04T09:28:22.6654582Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:22.6657669Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:22.665388] 2025-12-04T09:28:25.9361963Z 2025-12-04T09:28:25.9363434Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_f2fb55d0126cf004_.log 2025-12-04T09:28:25.9364426Z Running 0 items in this shard: 2025-12-04T09:28:25.9364605Z 2025-12-04T09:28:25.9364882Z Finished torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 09:28:25.935846][2257.944530127], took 0.05min 2025-12-04T09:28:25.9535158Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_scalars_0D_arrays/torch_np.test_scalars_0D_arrays-657d568a096b0565.xml 2025-12-04T09:28:25.9841487Z Running profiler/test_profiler_tree 1/1 ... [2025-12-04 09:28:25.983824][2257.99250871] 2025-12-04T09:28:25.9842097Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:25.9845382Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:25.984126] 2025-12-04T09:28:29.2050150Z 2025-12-04T09:28:29.2051250Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_7aa793bf8a1d302e_.log 2025-12-04T09:28:29.2051984Z Running 0 items in this shard: 2025-12-04T09:28:29.2052154Z 2025-12-04T09:28:29.2052434Z Finished profiler/test_profiler_tree 1/1 ... [2025-12-04 09:28:29.204640][2261.213324402], took 0.05min 2025-12-04T09:28:29.2224473Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_profiler_tree/profiler.test_profiler_tree-7e682dbb441e7c06.xml 2025-12-04T09:28:29.2475114Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 09:28:29.247065][2261.255749591] 2025-12-04T09:28:29.2475604Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:29.2477740Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:29.247373] 2025-12-04T09:28:32.5681028Z 2025-12-04T09:28:32.5681726Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_2d8dc1f4cdb81535_.log 2025-12-04T09:28:32.5682546Z Running 0 items in this shard: 2025-12-04T09:28:32.5682725Z 2025-12-04T09:28:32.5683047Z Finished torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 09:28:32.567725][2264.576409609], took 0.06min 2025-12-04T09:28:32.5855693Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraysetops/torch_np.numpy_tests.lib.test_arraysetops-85b3917ed0acd722.xml 2025-12-04T09:28:32.6108893Z Running test_dlpack 1/1 ... [2025-12-04 09:28:32.610489][2264.619172962] 2025-12-04T09:28:32.6109273Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:32.6112066Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dlpack.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:32.610798] 2025-12-04T09:28:36.5328203Z 2025-12-04T09:28:36.5329228Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_6b174c80eb603b56_.log 2025-12-04T09:28:36.5329818Z Running 0 items in this shard: 2025-12-04T09:28:36.5329986Z 2025-12-04T09:28:36.5330206Z Finished test_dlpack 1/1 ... [2025-12-04 09:28:36.532440][2268.54112516], took 0.07min 2025-12-04T09:28:36.5507380Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dlpack/test_dlpack-3d0ef3ca443d5599.xml 2025-12-04T09:28:36.5746564Z Running profiler/test_torch_tidy 1/1 ... [2025-12-04 09:28:36.574274][2268.582959064] 2025-12-04T09:28:36.5746989Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:36.5752597Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_torch_tidy.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:36.574590] 2025-12-04T09:28:39.7951780Z 2025-12-04T09:28:39.7952552Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_99fd49781cb4add4_.log 2025-12-04T09:28:39.7953239Z Running 0 items in this shard: 2025-12-04T09:28:39.7953405Z 2025-12-04T09:28:39.7953702Z Finished profiler/test_torch_tidy 1/1 ... [2025-12-04 09:28:39.794784][2271.803469151], took 0.05min 2025-12-04T09:28:39.8130875Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_torch_tidy/profiler.test_torch_tidy-5fe9d28ce94faafa.xml 2025-12-04T09:28:39.8392312Z Running lazy/test_reuse_ir 1/1 ... [2025-12-04 09:28:39.838916][2271.847599929] 2025-12-04T09:28:39.8392722Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:39.8395847Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:39.839216] 2025-12-04T09:28:43.0599913Z 2025-12-04T09:28:43.0600626Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_e5353931f93e786a_.log 2025-12-04T09:28:43.0601257Z Running 0 items in this shard: 2025-12-04T09:28:43.0601428Z 2025-12-04T09:28:43.0601669Z Finished lazy/test_reuse_ir 1/1 ... [2025-12-04 09:28:43.059658][2275.068343042], took 0.05min 2025-12-04T09:28:43.0780881Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_reuse_ir/lazy.test_reuse_ir-137e8d36bc6549a4.xml 2025-12-04T09:28:43.1018348Z Running torch_np/test_reductions 1/1 ... [2025-12-04 09:28:43.101513][2275.110197916] 2025-12-04T09:28:43.1018769Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:43.1021659Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:43.101811] 2025-12-04T09:28:48.1256261Z 2025-12-04T09:28:48.1257179Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_5f8b9383b437677c_.log 2025-12-04T09:28:48.1257869Z Running 0 items in this shard: 2025-12-04T09:28:48.1258034Z 2025-12-04T09:28:48.1258289Z Finished torch_np/test_reductions 1/1 ... [2025-12-04 09:28:48.125304][2280.133988211], took 0.08min 2025-12-04T09:28:48.1441602Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_reductions/torch_np.test_reductions-196a4f5c5ed5647e.xml 2025-12-04T09:28:48.1726122Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 09:28:48.172295][2280.18097976] 2025-12-04T09:28:48.1726938Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:48.1729889Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:48.172624] 2025-12-04T09:28:51.4931052Z 2025-12-04T09:28:51.4932085Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_f626e688f87f6d5c_.log 2025-12-04T09:28:51.4933116Z Running 0 items in this shard: 2025-12-04T09:28:51.4933317Z 2025-12-04T09:28:51.4933713Z Finished torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 09:28:51.492759][2283.501443133], took 0.06min 2025-12-04T09:28:51.5114015Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_ctors/torch_np.numpy_tests.core.test_scalar_ctors-e73a4879189b923a.xml 2025-12-04T09:28:51.5345719Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 09:28:51.534240][2283.542925492] 2025-12-04T09:28:51.5346210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:51.5349275Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:51.534563] 2025-12-04T09:28:54.7551816Z 2025-12-04T09:28:54.7552940Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_04ef132067042c7f_.log 2025-12-04T09:28:54.7553760Z Running 0 items in this shard: 2025-12-04T09:28:54.7553928Z 2025-12-04T09:28:54.7554330Z Finished torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 09:28:54.754794][2286.7634781], took 0.05min 2025-12-04T09:28:54.7736524Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraypad/torch_np.numpy_tests.lib.test_arraypad-b9e577c421428cb0.xml 2025-12-04T09:28:54.7961223Z Running test_prims 1/1 ... [2025-12-04 09:28:54.795812][2286.804495553] 2025-12-04T09:28:54.7961603Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:54.7964754Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_prims.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:54.796107] 2025-12-04T09:28:59.5692666Z 2025-12-04T09:28:59.5693885Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_f860c217cf5b9e03_.log 2025-12-04T09:28:59.5694485Z Running 0 items in this shard: 2025-12-04T09:28:59.5694654Z 2025-12-04T09:28:59.5694867Z Finished test_prims 1/1 ... [2025-12-04 09:28:59.568857][2291.577541564], took 0.08min 2025-12-04T09:28:59.5879993Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_prims/test_prims-1ebad9477fcf46ac.xml 2025-12-04T09:28:59.6128242Z Running profiler/test_python_tracer 1/1 ... [2025-12-04 09:28:59.612496][2291.621180906] 2025-12-04T09:28:59.6128736Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:59.6131767Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_python_tracer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:59.612790] 2025-12-04T09:29:02.8339601Z 2025-12-04T09:29:02.8341026Z profiler/test_python_tracer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_python_tracer_1.1_1841868ebacfd282_.log 2025-12-04T09:29:02.8341751Z Running 0 items in this shard: 2025-12-04T09:29:02.8341923Z 2025-12-04T09:29:02.8342506Z Finished profiler/test_python_tracer 1/1 ... [2025-12-04 09:29:02.833524][2294.842204715], took 0.05min 2025-12-04T09:29:02.8530698Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_python_tracer/profiler.test_python_tracer-4d76d36798729886.xml 2025-12-04T09:29:02.8790207Z Running cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 09:29:02.878666][2294.887350564] 2025-12-04T09:29:02.8790816Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:02.8793565Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:02.878987] 2025-12-04T09:29:06.0998105Z 2025-12-04T09:29:06.0999268Z cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_2392a90258b4fac2_.log 2025-12-04T09:29:06.1000351Z Running 0 items in this shard: 2025-12-04T09:29:06.1000519Z 2025-12-04T09:29:06.1000967Z Finished cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 09:29:06.099489][2298.108173881], took 0.05min 2025-12-04T09:29:06.1192194Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility-f6d763f6ba242a6e.xml 2025-12-04T09:29:09.3531352Z Running inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:29:09.352568][2301.361249556] 2025-12-04T09:29:09.3532005Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:09.3534898Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_collective_autotuning.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:09.353042] 2025-12-04T09:29:09.3832121Z Running inductor/test_compiled_autograd 2/2 ... [2025-12-04 09:29:09.382703][2301.391384392] 2025-12-04T09:29:09.3832775Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:09.3836061Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_autograd.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:09.383167] 2025-12-04T09:29:09.3984754Z Running inductor/test_cpu_select_algorithm 1/1 ... [2025-12-04 09:29:09.397996][2301.406677648] 2025-12-04T09:29:09.3985381Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:09.3988293Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:09.398420] 2025-12-04T09:29:12.9752293Z 2025-12-04T09:29:12.9753223Z inductor/test_collective_autotuning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_collective_autotuning_1.1_cbb0e7fb004ee986_.log 2025-12-04T09:29:12.9754551Z Running 0 items in this shard: 2025-12-04T09:29:12.9754720Z 2025-12-04T09:29:12.9755027Z Finished inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:29:12.975017][2304.983699446], took 0.06min 2025-12-04T09:29:12.9871397Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_collective_autotuning/inductor.test_collective_autotuning-fe6414aa85f64171.xml 2025-12-04T09:29:16.4774826Z 2025-12-04T09:29:16.4776053Z inductor/test_cpu_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_1.1_38d8dfb2c16c69b4_.log 2025-12-04T09:29:16.4777318Z Running 0 items in this shard: 2025-12-04T09:29:16.4777599Z 2025-12-04T09:29:16.4778050Z Finished inductor/test_cpu_select_algorithm 1/1 ... [2025-12-04 09:29:16.477189][2308.485872634], took 0.12min 2025-12-04T09:29:16.4897659Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_select_algorithm/inductor.test_cpu_select_algorithm-d80fcfd26b88f999.xml 2025-12-04T09:29:16.8843388Z Running inductor/test_halide 1/1 ... [2025-12-04 09:29:16.883818][2308.892499083] 2025-12-04T09:29:16.8844031Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:16.8847056Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_halide.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:16.884259] 2025-12-04T09:29:20.3719926Z 2025-12-04T09:29:20.3721365Z inductor/test_compiled_autograd 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_autograd_2.2_2aa559203f388ad5_.log 2025-12-04T09:29:20.3722758Z Running 0 items in this shard: 2025-12-04T09:29:20.3724263Z 2025-12-04T09:29:20.3725131Z Finished inductor/test_compiled_autograd 2/2 ... [2025-12-04 09:29:20.371578][2312.380260485], took 0.18min 2025-12-04T09:29:20.3841324Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_autograd/inductor.test_compiled_autograd-0b5efda7237f29f7.xml 2025-12-04T09:29:20.4270502Z Running inductor/test_xpu_basic 1/1 ... [2025-12-04 09:29:20.426456][2312.435138038] 2025-12-04T09:29:20.4271214Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:20.4273307Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_xpu_basic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:20.426887] 2025-12-04T09:29:23.9137876Z 2025-12-04T09:29:23.9138758Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_a064a37bb76e7a66_.log 2025-12-04T09:29:23.9139381Z 2025-12-04T09:29:23.9139631Z Finished inductor/test_halide 1/1 ... [2025-12-04 09:29:23.913448][2315.922132133], took 0.12min 2025-12-04T09:29:24.3206661Z Running inductor/test_mps_basic 1/1 ... [2025-12-04 09:29:24.320112][2316.328793642] 2025-12-04T09:29:24.3207146Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:24.3210035Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mps_basic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:24.320606] 2025-12-04T09:29:27.5068347Z 2025-12-04T09:29:27.5069107Z inductor/test_xpu_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_xpu_basic_1.1_259c66fb1723df48_.log 2025-12-04T09:29:27.5070081Z 2025-12-04T09:29:27.5070346Z Finished inductor/test_xpu_basic 1/1 ... [2025-12-04 09:29:27.506382][2319.515066513], took 0.12min 2025-12-04T09:29:27.8381486Z Running xpu/test_gemm 1/1 ... [2025-12-04 09:29:27.837555][2319.846235569] 2025-12-04T09:29:27.8382114Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:27.8386530Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'xpu/test_gemm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:27.838065] 2025-12-04T09:29:31.3012592Z 2025-12-04T09:29:31.3013723Z inductor/test_mps_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mps_basic_1.1_2afa9493099d430f_.log 2025-12-04T09:29:31.3014315Z 2025-12-04T09:29:31.3014585Z Finished inductor/test_mps_basic 1/1 ... [2025-12-04 09:29:31.300819][2323.309503231], took 0.12min 2025-12-04T09:29:31.4451695Z Running test_dataloader 2/2 ... [2025-12-04 09:29:31.444572][2323.453251768] 2025-12-04T09:29:31.4452131Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:31.4456057Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dataloader.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:31.445091] 2025-12-04T09:29:32.1625446Z 2025-12-04T09:29:32.1626437Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_2f11a5f6863ebeb8_.log 2025-12-04T09:29:32.1627044Z Running 0 items in this shard: 2025-12-04T09:29:32.1627210Z 2025-12-04T09:29:32.1627432Z Finished xpu/test_gemm 1/1 ... [2025-12-04 09:29:32.162239][2324.170921696], took 0.07min 2025-12-04T09:29:32.1804717Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_gemm/xpu.test_gemm-6f1f6ce60ce847ea.xml 2025-12-04T09:29:35.2749018Z Running functorch/test_minifier 1/1 ... [2025-12-04 09:29:35.274258][2327.282939245] 2025-12-04T09:29:35.2749626Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:35.2751018Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_minifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:35.274699] 2025-12-04T09:29:36.0698226Z 2025-12-04T09:29:36.0699236Z test_dataloader 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_dataloader_2.2_803784cae93d3092_.log 2025-12-04T09:29:36.0699960Z Running 0 items in this shard: 2025-12-04T09:29:36.0700132Z 2025-12-04T09:29:36.0700372Z Finished test_dataloader 2/2 ... [2025-12-04 09:29:36.069679][2328.078361579], took 0.08min 2025-12-04T09:29:36.0828541Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dataloader/test_dataloader-380bec8612423d5e.xml 2025-12-04T09:29:36.1383296Z Running higher_order_ops/test_invoke_quant 1/1 ... [2025-12-04 09:29:36.137953][2328.146632545] 2025-12-04T09:29:36.1383846Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:36.1388703Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_invoke_quant.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:36.138467] 2025-12-04T09:29:39.1978720Z 2025-12-04T09:29:39.1979847Z functorch/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_minifier_1.1_c3d75f7bc954ccea_.log 2025-12-04T09:29:39.1981397Z Running 0 items in this shard: 2025-12-04T09:29:39.1981685Z 2025-12-04T09:29:39.1982067Z Finished functorch/test_minifier 1/1 ... [2025-12-04 09:29:39.197591][2331.20627499], took 0.07min 2025-12-04T09:29:39.2115572Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_minifier/functorch.test_minifier-a6dfa3c8432ee4f2.xml 2025-12-04T09:29:39.9856151Z Running torch_np/test_basic 1/1 ... [2025-12-04 09:29:39.985139][2331.99382046] 2025-12-04T09:29:39.9856578Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:39.9860370Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_basic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:39.985617] 2025-12-04T09:29:42.9175261Z 2025-12-04T09:29:42.9176328Z higher_order_ops/test_invoke_quant 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_quant_1.1_23c6a33109f48053_.log 2025-12-04T09:29:42.9177176Z Running 0 items in this shard: 2025-12-04T09:29:42.9177414Z 2025-12-04T09:29:42.9177735Z Finished higher_order_ops/test_invoke_quant 1/1 ... [2025-12-04 09:29:42.917263][2334.925948207], took 0.11min 2025-12-04T09:29:42.9309323Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_quant/higher_order_ops.test_invoke_quant-9b6a11e40a92df39.xml 2025-12-04T09:29:43.1918393Z Running test_jiterator 1/1 ... [2025-12-04 09:29:43.191224][2335.199904664] 2025-12-04T09:29:43.1918815Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:43.1921815Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jiterator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:43.191728] 2025-12-04T09:29:44.8099473Z 2025-12-04T09:29:44.8100366Z torch_np/test_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_basic_1.1_c895fad2087dd9d8_.log 2025-12-04T09:29:44.8101036Z Running 0 items in this shard: 2025-12-04T09:29:44.8101215Z 2025-12-04T09:29:44.8101454Z Finished torch_np/test_basic 1/1 ... [2025-12-04 09:29:44.809534][2336.818218941], took 0.08min 2025-12-04T09:29:44.8307598Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_basic/torch_np.test_basic-088a8c019bff2c9c.xml 2025-12-04T09:29:46.8828734Z Running test_native_functions 1/1 ... [2025-12-04 09:29:46.882325][2338.891004614] 2025-12-04T09:29:46.8829373Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:46.8832353Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_native_functions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:46.882830] 2025-12-04T09:29:47.6660803Z 2025-12-04T09:29:47.6662445Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_b2776dc0eb6e44bf_.log 2025-12-04T09:29:47.6663499Z Running 0 items in this shard: 2025-12-04T09:29:47.6663779Z 2025-12-04T09:29:47.6664134Z Finished test_jiterator 1/1 ... [2025-12-04 09:29:47.665798][2339.67448172], took 0.07min 2025-12-04T09:29:47.6803452Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jiterator/test_jiterator-0d8ee20443fd9560.xml 2025-12-04T09:29:48.7061956Z Running test_typing 1/1 ... [2025-12-04 09:29:48.705509][2340.714190781] 2025-12-04T09:29:48.7062541Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:48.7064484Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_typing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:48.705991] 2025-12-04T09:29:50.5552744Z 2025-12-04T09:29:50.5553883Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_871714f37ebfefcf_.log 2025-12-04T09:29:50.5554755Z Running 0 items in this shard: 2025-12-04T09:29:50.5554926Z 2025-12-04T09:29:50.5555185Z Finished test_native_functions 1/1 ... [2025-12-04 09:29:50.555055][2342.563739765], took 0.06min 2025-12-04T09:29:50.5695359Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_functions/test_native_functions-dca564050d75200e.xml 2025-12-04T09:29:51.5822971Z Running higher_order_ops/test_with_effects 1/1 ... [2025-12-04 09:29:51.581700][2343.590380555] 2025-12-04T09:29:51.5823756Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:51.5826154Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_with_effects.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:51.582139] 2025-12-04T09:29:52.3785543Z 2025-12-04T09:29:52.3786700Z test_typing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_typing_1.1_55222985035649c1_.log 2025-12-04T09:29:52.3787685Z Running 0 items in this shard: 2025-12-04T09:29:52.3787945Z 2025-12-04T09:29:52.3788280Z Finished test_typing 1/1 ... [2025-12-04 09:29:52.378334][2344.387016544], took 0.06min 2025-12-04T09:29:52.3946187Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_typing/test_typing-fca32b189c23fb1e.xml 2025-12-04T09:29:54.5530424Z Running higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 09:29:54.552419][2346.56110002] 2025-12-04T09:29:54.5530991Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:54.5532202Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_invoke_subgraph.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:54.552859] 2025-12-04T09:29:56.0564393Z 2025-12-04T09:29:56.0565298Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_daa81ebab4f5483b_.log 2025-12-04T09:29:56.0566068Z Running 0 items in this shard: 2025-12-04T09:29:56.0566239Z 2025-12-04T09:29:56.0566551Z Finished higher_order_ops/test_with_effects 1/1 ... [2025-12-04 09:29:56.056132][2348.064816421], took 0.07min 2025-12-04T09:29:56.0712942Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_with_effects/higher_order_ops.test_with_effects-6a21ce3144f9bf34.xml 2025-12-04T09:29:56.2711758Z Running test_weak 1/1 ... [2025-12-04 09:29:56.270607][2348.279287485] 2025-12-04T09:29:56.2712210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:56.2715077Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_weak.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:56.271089] 2025-12-04T09:29:59.9437877Z 2025-12-04T09:29:59.9439367Z test_weak 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_weak_1.1_420078127c79a1ac_.log 2025-12-04T09:29:59.9440824Z Running 0 items in this shard: 2025-12-04T09:29:59.9441124Z 2025-12-04T09:29:59.9441454Z Finished test_weak 1/1 ... [2025-12-04 09:29:59.943598][2351.952282553], took 0.06min 2025-12-04T09:29:59.9590822Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_weak/test_weak-99e4574b5415b393.xml 2025-12-04T09:29:59.9724407Z Running test_decomp 1/16 ... [2025-12-04 09:29:59.972026][2351.980704639] 2025-12-04T09:29:59.9724833Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:59.9729398Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=16', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:59.972561] 2025-12-04T09:30:01.5831082Z 2025-12-04T09:30:01.5832303Z higher_order_ops/test_invoke_subgraph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_ec11f94c3adc656a_.log 2025-12-04T09:30:01.5864599Z Running 50 items in this shard: test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module 2025-12-04T09:30:01.5896203Z 2025-12-04T09:30:01.5896711Z Finished higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 09:30:01.582954][2353.59163835], took 0.12min 2025-12-04T09:30:01.5981347Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-b40b7d961fece7a6.xml 2025-12-04T09:30:03.9271909Z Running test_decomp 4/16 ... [2025-12-04 09:30:03.926647][2355.935328195] 2025-12-04T09:30:03.9272434Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:03.9276019Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=4', '--num-shards=16', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:03.927078] 2025-12-04T09:30:05.5197870Z Running test_decomp 9/16 ... [2025-12-04 09:30:05.519192][2357.527872849] 2025-12-04T09:30:05.5198386Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:05.5200430Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=9', '--num-shards=16', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:05.519674] 2025-12-04T09:30:20.2261644Z 2025-12-04T09:30:20.2262858Z test_decomp 1/16 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_1.16_7e8d32a6e5a2173f_.log 2025-12-04T09:30:20.2263851Z Running 0 items in this shard: 2025-12-04T09:30:20.2264134Z 2025-12-04T09:30:20.2264477Z Finished test_decomp 1/16 ... [2025-12-04 09:30:20.225887][2372.234571905], took 0.34min 2025-12-04T09:30:20.2426981Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-3b0646ad083636d3.xml 2025-12-04T09:30:24.1412210Z Running test_decomp 10/16 ... [2025-12-04 09:30:24.140659][2376.149340323] 2025-12-04T09:30:24.1412766Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:24.1416339Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=10', '--num-shards=16', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:24.141113] 2025-12-04T09:30:24.2323059Z 2025-12-04T09:30:24.2323752Z test_decomp 4/16 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_4.16_9d261b0ed651fadd_.log 2025-12-04T09:30:24.2340299Z Running 50 items in this shard: test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 2025-12-04T09:30:24.2356257Z 2025-12-04T09:30:24.2356489Z Finished test_decomp 4/16 ... [2025-12-04 09:30:24.232253][2376.240934322], took 0.34min 2025-12-04T09:30:24.2587037Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-2f59099e24e2635d.xml 2025-12-04T09:30:24.3092940Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-7ade9115f79d753e.xml 2025-12-04T09:30:25.6752354Z 2025-12-04T09:30:25.6753209Z test_decomp 9/16 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_9.16_b12db92d713ece42_.log 2025-12-04T09:30:25.6753848Z Running 0 items in this shard: 2025-12-04T09:30:25.6754023Z 2025-12-04T09:30:25.6754350Z Finished test_decomp 9/16 ... [2025-12-04 09:30:25.674965][2377.683649179], took 0.34min 2025-12-04T09:30:28.1513491Z Running test_decomp 13/16 ... [2025-12-04 09:30:28.150771][2380.159452431] 2025-12-04T09:30:28.1514084Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:28.1516505Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=13', '--num-shards=16', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:28.151226] 2025-12-04T09:30:29.5200318Z Running test_hub 1/1 ... [2025-12-04 09:30:29.519500][2381.528180277] 2025-12-04T09:30:29.5200751Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:29.5203992Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_hub.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:29.520004] 2025-12-04T09:30:33.6443445Z 2025-12-04T09:30:33.6444710Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_f5229c2dd0b32ad1_.log 2025-12-04T09:30:33.6476695Z Running 100 items in this shard: test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes 2025-12-04T09:30:33.6506779Z 2025-12-04T09:30:33.6507128Z Finished test_hub 1/1 ... [2025-12-04 09:30:33.644131][2385.652813707], took 0.07min 2025-12-04T09:30:33.6681537Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_hub/test_hub-9cf6bd204ea9cbea.xml 2025-12-04T09:30:37.5333685Z Running test_segment_reductions 1/1 ... [2025-12-04 09:30:37.532889][2389.541570329] 2025-12-04T09:30:37.5334323Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:37.5338421Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_segment_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:37.533403] 2025-12-04T09:30:41.5063578Z 2025-12-04T09:30:41.5064646Z test_segment_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_segment_reductions_1.1_3f6f87e7a5eb27ce_.log 2025-12-04T09:30:41.5065779Z Running 0 items in this shard: 2025-12-04T09:30:41.5066084Z 2025-12-04T09:30:41.5066527Z Finished test_segment_reductions 1/1 ... [2025-12-04 09:30:41.506166][2393.514849593], took 0.07min 2025-12-04T09:30:41.5233794Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_segment_reductions/test_segment_reductions-7ddd702e64c7478a.xml 2025-12-04T09:30:44.7985979Z 2025-12-04T09:30:44.7987275Z test_decomp 10/16 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_10.16_90c67a33f978ceca_.log 2025-12-04T09:30:44.7988179Z Running 0 items in this shard: 2025-12-04T09:30:44.7988504Z 2025-12-04T09:30:44.7988905Z Finished test_decomp 10/16 ... [2025-12-04 09:30:44.798185][2396.806868436], took 0.34min 2025-12-04T09:30:44.8154695Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-8b91e703e17c755c.xml 2025-12-04T09:30:45.4181391Z Running test_type_hints 1/1 ... [2025-12-04 09:30:45.417547][2397.42622899] 2025-12-04T09:30:45.4182038Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:45.4183574Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_hints.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:45.417978] 2025-12-04T09:30:48.6829606Z Running functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 09:30:48.682455][2400.69113653] 2025-12-04T09:30:48.6830202Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:48.6833221Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aot_joint_with_descriptors.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:48.682916] 2025-12-04T09:30:48.8078915Z 2025-12-04T09:30:48.8080388Z test_decomp 13/16 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_13.16_69990644b58f5b80_.log 2025-12-04T09:30:48.8099590Z Running 50 items in this shard: test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:30:48.8118549Z 2025-12-04T09:30:48.8118803Z Finished test_decomp 13/16 ... [2025-12-04 09:30:48.807764][2400.816445851], took 0.34min 2025-12-04T09:30:48.8316038Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-77288e12ce6718d9.xml 2025-12-04T09:30:48.8681575Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_hints/test_type_hints-8b9a6280764026f2.xml 2025-12-04T09:30:49.5414500Z 2025-12-04T09:30:49.5415651Z test_type_hints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_hints_1.1_beae85f4df38c2ec_.log 2025-12-04T09:30:49.5426253Z Running 50 items in this shard: test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples 2025-12-04T09:30:49.5436230Z 2025-12-04T09:30:49.5436465Z Finished test_type_hints 1/1 ... [2025-12-04 09:30:49.541280][2401.549964063], took 0.07min 2025-12-04T09:30:52.6061197Z 2025-12-04T09:30:52.6062707Z functorch/test_aot_joint_with_descriptors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aot_joint_with_descriptors_1.1_682d4531840261f3_.log 2025-12-04T09:30:52.6063572Z Running 0 items in this shard: 2025-12-04T09:30:52.6063770Z 2025-12-04T09:30:52.6064105Z Finished functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 09:30:52.605888][2404.614571247], took 0.07min 2025-12-04T09:30:52.6253798Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aot_joint_with_descriptors/functorch.test_aot_joint_with_descriptors-60cc6f9e198ac4f7.xml 2025-12-04T09:30:52.8231712Z Running test_nestedtensor 1/1 ... [2025-12-04 09:30:52.822641][2404.831322376] 2025-12-04T09:30:52.8232164Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:52.8235128Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:52.823120] 2025-12-04T09:30:53.5048200Z Running test_linalg 1/1 ... [2025-12-04 09:30:53.504250][2405.512932297] 2025-12-04T09:30:53.5048714Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:53.5050481Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_linalg.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:53.504702] 2025-12-04T09:30:56.5386650Z Running test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:30:56.538030][2408.54671122] 2025-12-04T09:30:56.5387306Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:56.5389308Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functionalization_of_rng_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:56.538517] 2025-12-04T09:31:00.4844128Z 2025-12-04T09:31:00.4844927Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_be6427688b0b78ee_.log 2025-12-04T09:31:00.4886262Z Running 150 items in this shard: test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda 2025-12-04T09:31:00.4926955Z 2025-12-04T09:31:00.4927169Z Finished test_linalg 1/1 ... [2025-12-04 09:31:00.484262][2412.492945535], took 0.12min 2025-12-04T09:31:00.5025851Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-70d28be2eba572f2.xml 2025-12-04T09:31:00.5611790Z 2025-12-04T09:31:00.5612598Z test_functionalization_of_rng_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_of_rng_ops_1.1_f5a676fcfd33e1e2_.log 2025-12-04T09:31:00.5613629Z Running 0 items in this shard: 2025-12-04T09:31:00.5614122Z 2025-12-04T09:31:00.5614418Z Finished test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:31:00.560959][2412.569643022], took 0.07min 2025-12-04T09:31:00.5699324Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_linalg/test_linalg-0fd463fd5e163c65.xml 2025-12-04T09:31:00.6028506Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization_of_rng_ops/test_functionalization_of_rng_ops-a5bb8278c3a478f7.xml 2025-12-04T09:31:01.1555081Z 2025-12-04T09:31:01.1556164Z test_nestedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.1_036345e7e252c57f_.log 2025-12-04T09:31:01.1556897Z Running 0 items in this shard: 2025-12-04T09:31:01.1557068Z 2025-12-04T09:31:01.1557308Z Finished test_nestedtensor 1/1 ... [2025-12-04 09:31:01.155336][2413.164019062], took 0.14min 2025-12-04T09:31:04.5306988Z Running test_fx_reinplace_pass 1/1 ... [2025-12-04 09:31:04.530192][2416.538872943] 2025-12-04T09:31:04.5307578Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:04.5311262Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_reinplace_pass.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:04.530628] 2025-12-04T09:31:04.5407770Z Running functorch/test_control_flow 1/1 ... [2025-12-04 09:31:04.540381][2416.549060922] 2025-12-04T09:31:04.5408295Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:04.5412494Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_control_flow.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:04.540864] 2025-12-04T09:31:05.0595971Z Running test_cuda_expandable_segments 1/1 ... [2025-12-04 09:31:05.059039][2417.067719602] 2025-12-04T09:31:05.0596597Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:05.0600606Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:05.059597] 2025-12-04T09:31:08.1530817Z 2025-12-04T09:31:08.1531771Z test_fx_reinplace_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_reinplace_pass_1.1_f52f8c86d593bdde_.log 2025-12-04T09:31:08.1532442Z Running 0 items in this shard: 2025-12-04T09:31:08.1532617Z 2025-12-04T09:31:08.1532870Z Finished test_fx_reinplace_pass 1/1 ... [2025-12-04 09:31:08.152739][2420.16142361], took 0.06min 2025-12-04T09:31:08.1742815Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_reinplace_pass/test_fx_reinplace_pass-1fbc740435535754.xml 2025-12-04T09:31:10.9866804Z 2025-12-04T09:31:10.9868489Z 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_733de765f3ec7c21_.log 2025-12-04T09:31:10.9981141Z Running 250 items in this shard: test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, 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test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp 2025-12-04T09:31:11.0090517Z 2025-12-04T09:31:11.0090945Z Finished test_cuda_expandable_segments 1/1 ... [2025-12-04 09:31:10.986922][2422.995605295], took 0.10min 2025-12-04T09:31:11.0092900Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_expandable_segments/test_cuda_expandable_segments-0ffa7ecef1e34833.xml 2025-12-04T09:31:12.1916440Z Running test_modules 1/2 ... [2025-12-04 09:31:12.191007][2424.199688501] 2025-12-04T09:31:12.1917089Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:12.1919490Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_modules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:12.191559] 2025-12-04T09:31:12.6227492Z 2025-12-04T09:31:12.6228266Z functorch/test_control_flow 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_control_flow_1.1_a22333d62417259f_.log 2025-12-04T09:31:12.6229010Z Running 0 items in this shard: 2025-12-04T09:31:12.6229194Z 2025-12-04T09:31:12.6229468Z Finished functorch/test_control_flow 1/1 ... [2025-12-04 09:31:12.622335][2424.631019532], took 0.13min 2025-12-04T09:31:12.6413561Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_control_flow/functorch.test_control_flow-6617b9a65c7cfb5e.xml 2025-12-04T09:31:14.8699693Z Running optim/test_swa_utils 1/1 ... [2025-12-04 09:31:14.869363][2426.87804493] 2025-12-04T09:31:14.8700401Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:14.8702277Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:14.869803] 2025-12-04T09:31:16.5644859Z Running functorch/test_ops 2/2 ... [2025-12-04 09:31:16.563985][2428.572664744] 2025-12-04T09:31:16.5645290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:16.5648568Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:16.564469] 2025-12-04T09:31:18.3482764Z 2025-12-04T09:31:18.3483678Z 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_98a31be19ea8626c_.log 2025-12-04T09:31:18.3484240Z 2025-12-04T09:31:22.2189903Z Finished optim/test_swa_utils 1/1 ... [2025-12-04 09:31:18.347992][2430.3566762], took 0.06min 2025-12-04T09:31:22.2190547Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 09:31:22.218440][2434.227121758] 2025-12-04T09:31:22.2191277Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:22.2192997Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_shape_base_.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:22.218920] 2025-12-04T09:31:23.6805642Z 2025-12-04T09:31:23.6806732Z test_modules 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_1.2_19b3fb75cea7a2e2_.log 2025-12-04T09:31:23.6807341Z Running 0 items in this shard: 2025-12-04T09:31:23.6807520Z 2025-12-04T09:31:23.6807738Z Finished test_modules 1/2 ... [2025-12-04 09:31:23.680321][2435.689004911], took 0.19min 2025-12-04T09:31:23.7001595Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_modules/test_modules-ab3613701ae465ab.xml 2025-12-04T09:31:25.9916222Z 2025-12-04T09:31:25.9917415Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_shape_base__1.1_20170791a97ce831_.log 2025-12-04T09:31:25.9919278Z Running 0 items in this shard: 2025-12-04T09:31:25.9919473Z 2025-12-04T09:31:25.9919792Z Finished torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 09:31:25.991377][2438.000060404], took 0.06min 2025-12-04T09:31:26.0116527Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_shape_base_/torch_np.numpy_tests.lib.test_shape_base_-6335a1287781bc5f.xml 2025-12-04T09:31:27.7012582Z Running torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 09:31:27.700737][2439.709419216] 2025-12-04T09:31:27.7013088Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:27.7015919Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_getlimits.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:27.701171] 2025-12-04T09:31:29.8644319Z Running torch_np/test_ndarray_methods 1/1 ... [2025-12-04 09:31:29.863897][2441.872576815] 2025-12-04T09:31:29.8644960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:29.8649278Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_ndarray_methods.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:29.864385] 2025-12-04T09:31:31.2730961Z 2025-12-04T09:31:31.2732268Z torch_np/numpy_tests/core/test_getlimits 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_getlimits_1.1_b110175f58c236db_.log 2025-12-04T09:31:31.2733130Z Running 0 items in this shard: 2025-12-04T09:31:31.2733306Z 2025-12-04T09:31:31.2733629Z Finished torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 09:31:31.272853][2443.281536376], took 0.06min 2025-12-04T09:31:31.2929735Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_getlimits/torch_np.numpy_tests.core.test_getlimits-535c40a63e7937c3.xml 2025-12-04T09:31:33.9881845Z 2025-12-04T09:31:33.9882678Z torch_np/test_ndarray_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ndarray_methods_1.1_a6b7496b0728bce3_.log 2025-12-04T09:31:33.9883396Z Running 0 items in this shard: 2025-12-04T09:31:33.9883568Z 2025-12-04T09:31:33.9883844Z Finished torch_np/test_ndarray_methods 1/1 ... [2025-12-04 09:31:33.987829][2445.996511458], took 0.07min 2025-12-04T09:31:34.0088016Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_ndarray_methods/torch_np.test_ndarray_methods-b920df3e07fc3d44.xml 2025-12-04T09:31:35.2298651Z Running test_view_ops 1/1 ... [2025-12-04 09:31:35.229180][2447.237860264] 2025-12-04T09:31:35.2299265Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:35.2300552Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_view_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:35.229615] 2025-12-04T09:31:37.9197373Z Running test_type_info 1/1 ... [2025-12-04 09:31:37.919067][2449.927746715] 2025-12-04T09:31:37.9197801Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:37.9200251Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_info.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:37.919611] 2025-12-04T09:31:39.4765651Z 2025-12-04T09:31:39.4767278Z functorch/test_ops 2/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_2.2_81dfef097862c1f5_.log 2025-12-04T09:31:39.4767998Z Running 0 items in this shard: 2025-12-04T09:31:39.4768213Z 2025-12-04T09:31:39.4768463Z Finished functorch/test_ops 2/2 ... [2025-12-04 09:31:39.476316][2451.485000118], took 0.38min 2025-12-04T09:31:39.4964926Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-f75620b71afdec36.xml 2025-12-04T09:31:39.5233066Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_view_ops/test_view_ops-1081c305561e1f77.xml 2025-12-04T09:31:39.6045893Z 2025-12-04T09:31:39.6046636Z test_view_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_view_ops_1.1_ca0b3b895df8690b_.log 2025-12-04T09:31:39.6047728Z Running 0 items in this shard: 2025-12-04T09:31:39.6048072Z 2025-12-04T09:31:39.6048466Z Finished test_view_ops 1/1 ... [2025-12-04 09:31:39.604185][2451.612869158], took 0.07min 2025-12-04T09:31:41.5922569Z 2025-12-04T09:31:41.5923474Z test_type_info 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_info_1.1_a9ebf18e74436ecc_.log 2025-12-04T09:31:41.5924093Z Running 0 items in this shard: 2025-12-04T09:31:41.5924266Z 2025-12-04T09:31:41.5924492Z Finished test_type_info 1/1 ... [2025-12-04 09:31:41.591946][2453.60063055], took 0.06min 2025-12-04T09:31:41.6219685Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_info/test_type_info-ba91d2164cbdac3f.xml 2025-12-04T09:31:43.4127479Z Running functorch/test_aotdispatch 1/1 ... [2025-12-04 09:31:43.412127][2455.42080891] 2025-12-04T09:31:43.4127958Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:43.4130419Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:43.412619] 2025-12-04T09:31:43.5802093Z Running torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 09:31:43.579640][2455.588320499] 2025-12-04T09:31:43.5802580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:43.5805063Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dlpack.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:43.580083] 2025-12-04T09:31:45.5722523Z Running test_scatter_gather_ops 1/1 ... [2025-12-04 09:31:45.571595][2457.580274935] 2025-12-04T09:31:45.5723292Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:45.5724977Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_scatter_gather_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:45.572071] 2025-12-04T09:31:47.3028395Z 2025-12-04T09:31:47.3029306Z torch_np/numpy_tests/core/test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dlpack_1.1_a6e6d26452bb2a0d_.log 2025-12-04T09:31:47.3030101Z Running 0 items in this shard: 2025-12-04T09:31:47.3030274Z 2025-12-04T09:31:47.3030971Z Finished torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 09:31:47.302574][2459.311258434], took 0.06min 2025-12-04T09:31:47.3244241Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_dlpack/torch_np.numpy_tests.core.test_dlpack-7db82df566bd9f34.xml 2025-12-04T09:31:49.5961801Z 2025-12-04T09:31:49.5962976Z test_scatter_gather_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_scatter_gather_ops_1.1_864c43948fe4a47a_.log 2025-12-04T09:31:49.5963794Z Running 0 items in this shard: 2025-12-04T09:31:49.5963974Z 2025-12-04T09:31:49.5964278Z Finished test_scatter_gather_ops 1/1 ... [2025-12-04 09:31:49.595969][2461.604653394], took 0.07min 2025-12-04T09:31:49.6228086Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-7eead4b2727cb389.xml 2025-12-04T09:31:49.6498469Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_scatter_gather_ops/test_scatter_gather_ops-c3c01114c862c923.xml 2025-12-04T09:31:50.0918042Z 2025-12-04T09:31:50.0927716Z functorch/test_aotdispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.1_8b5f3d6d558cbb37_.log 2025-12-04T09:31:50.0928761Z Running 0 items in this shard: 2025-12-04T09:31:50.0928947Z 2025-12-04T09:31:50.0929231Z Finished functorch/test_aotdispatch 1/1 ... [2025-12-04 09:31:50.091659][2462.100342544], took 0.11min 2025-12-04T09:31:51.3064375Z Running test_cuda_multigpu 1/1 ... [2025-12-04 09:31:51.305775][2463.314455909] 2025-12-04T09:31:51.3065186Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:51.3066718Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_multigpu.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:51.306293] 2025-12-04T09:31:53.5597583Z Running functorch/test_vmap 1/1 ... [2025-12-04 09:31:53.559187][2465.567869144] 2025-12-04T09:31:53.5598018Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:53.5599798Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:53.559638] 2025-12-04T09:31:54.0088175Z Running torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-12-04 09:31:54.008217][2466.016898929] 2025-12-04T09:31:54.0088710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:54.0091050Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_index_tricks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:54.008682] 2025-12-04T09:31:55.4296010Z 2025-12-04T09:31:55.4297112Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_9d4cb98634b7c036_.log 2025-12-04T09:31:55.4311522Z Running 50 items in this shard: test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection 2025-12-04T09:31:55.4326673Z 2025-12-04T09:31:55.4326933Z Finished test_cuda_multigpu 1/1 ... [2025-12-04 09:31:55.429436][2467.438117767], took 0.07min 2025-12-04T09:31:55.4613418Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_multigpu/test_cuda_multigpu-4e9a8c02bcc523fe.xml 2025-12-04T09:31:57.7809931Z 2025-12-04T09:31:57.7811142Z torch_np/numpy_tests/lib/test_index_tricks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_index_tricks_1.1_2a0124e94e5a8c92_.log 2025-12-04T09:31:57.7811950Z Running 0 items in this shard: 2025-12-04T09:31:57.7812127Z 2025-12-04T09:31:57.7812978Z Finished torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-12-04 09:31:57.780683][2469.78936703], took 0.06min 2025-12-04T09:31:57.8147310Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_index_tricks/torch_np.numpy_tests.lib.test_index_tricks-25871737982a94b1.xml 2025-12-04T09:31:59.3374234Z Running test_jit_autocast 1/1 ... [2025-12-04 09:31:59.336721][2471.345402745] 2025-12-04T09:31:59.3374966Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:59.3376854Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_autocast.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:59.337231] 2025-12-04T09:32:01.6828510Z Running nn/test_embedding 1/1 ... [2025-12-04 09:32:01.682299][2473.690980427] 2025-12-04T09:32:01.6828985Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:01.6830491Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_embedding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:01.682721] 2025-12-04T09:32:02.9436460Z 2025-12-04T09:32:02.9437207Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_5026a8b0b0a91246_.log 2025-12-04T09:32:02.9457624Z Running 50 items in this shard: test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32 2025-12-04T09:32:02.9477577Z 2025-12-04T09:32:02.9477837Z Finished functorch/test_vmap 1/1 ... [2025-12-04 09:32:02.943276][2474.951960643], took 0.16min 2025-12-04T09:32:02.9664070Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap/functorch.test_vmap-bc6bc1b12cf78bad.xml 2025-12-04T09:32:04.7129840Z 2025-12-04T09:32:04.7130909Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_bff2e318444659e6_.log 2025-12-04T09:32:04.7131929Z Running 0 items in this shard: 2025-12-04T09:32:04.7132220Z 2025-12-04T09:32:04.7132603Z Finished test_jit_autocast 1/1 ... [2025-12-04 09:32:04.712684][2476.721367575], took 0.09min 2025-12-04T09:32:04.7359876Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_autocast/test_jit_autocast-5fd9d90ba6e38c65.xml 2025-12-04T09:32:05.9069453Z 2025-12-04T09:32:05.9070188Z nn/test_embedding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_embedding_1.1_1e0297ac5085f031_.log 2025-12-04T09:32:05.9071235Z Running 0 items in this shard: 2025-12-04T09:32:05.9071406Z 2025-12-04T09:32:05.9071653Z Finished nn/test_embedding 1/1 ... [2025-12-04 09:32:05.906638][2477.915322255], took 0.07min 2025-12-04T09:32:05.9298918Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_embedding/nn.test_embedding-de24912155d96bea.xml 2025-12-04T09:32:06.9364615Z Running test_unary_ufuncs 1/1 ... [2025-12-04 09:32:06.935887][2478.944568975] 2025-12-04T09:32:06.9365201Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:06.9367099Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_unary_ufuncs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:06.936327] 2025-12-04T09:32:08.6402228Z Running test_xnnpack_integration 1/1 ... [2025-12-04 09:32:08.639196][2480.647877029] 2025-12-04T09:32:08.6403003Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:08.6404788Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:08.639665] 2025-12-04T09:32:09.8258670Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 09:32:09.825275][2481.833956362] 2025-12-04T09:32:09.8259570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:09.8261461Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:09.825716] 2025-12-04T09:32:12.2115159Z 2025-12-04T09:32:12.2116680Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_549b5e3a2012fdc1_.log 2025-12-04T09:32:12.2117901Z Running 0 items in this shard: 2025-12-04T09:32:12.2118195Z 2025-12-04T09:32:12.2118719Z Finished test_xnnpack_integration 1/1 ... [2025-12-04 09:32:12.211170][2484.219854409], took 0.06min 2025-12-04T09:32:12.2446054Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_xnnpack_integration/test_xnnpack_integration-2f5f921f5964ec56.xml 2025-12-04T09:32:13.4484504Z 2025-12-04T09:32:13.4485860Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_ba250bcc70e58564_.log 2025-12-04T09:32:13.4487031Z Running 0 items in this shard: 2025-12-04T09:32:13.4487296Z 2025-12-04T09:32:13.4488093Z Finished torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 09:32:13.448549][2485.457231197], took 0.06min 2025-12-04T09:32:13.4912508Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numerictypes/torch_np.numpy_tests.core.test_numerictypes-195c86f4e2078efa.xml 2025-12-04T09:32:16.0631000Z Running test_function_schema 1/1 ... [2025-12-04 09:32:16.062557][2488.071237928] 2025-12-04T09:32:16.0631458Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:16.0634496Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_function_schema.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:16.063056] 2025-12-04T09:32:17.4093687Z Running test_accelerator 1/1 ... [2025-12-04 09:32:17.408827][2489.417508553] 2025-12-04T09:32:17.4094586Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:17.4097688Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_accelerator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:17.409264] 2025-12-04T09:32:19.6356487Z 2025-12-04T09:32:19.6357867Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_c206922540ad9d60_.log 2025-12-04T09:32:19.6366283Z Running 0 items in this shard: 2025-12-04T09:32:19.6366548Z 2025-12-04T09:32:19.6366917Z Finished test_function_schema 1/1 ... [2025-12-04 09:32:19.635420][2491.644094638], took 0.06min 2025-12-04T09:32:19.6697867Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_function_schema/test_function_schema-43a69a3b2ccb42f3.xml 2025-12-04T09:32:21.0819458Z 2025-12-04T09:32:21.0820763Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_8d0dde585db49bfe_.log 2025-12-04T09:32:21.0821425Z Running 0 items in this shard: 2025-12-04T09:32:21.0821603Z 2025-12-04T09:32:21.0821866Z Finished test_accelerator 1/1 ... [2025-12-04 09:32:21.081713][2493.090394493], took 0.06min 2025-12-04T09:32:21.1067421Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_accelerator/test_accelerator-c7a117d54bac218c.xml 2025-12-04T09:32:23.5063120Z Running nn/test_init 1/1 ... [2025-12-04 09:32:23.505558][2495.514239958] 2025-12-04T09:32:23.5063737Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:23.5065337Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_init.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:23.506007] 2025-12-04T09:32:24.9764214Z Running torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 09:32:24.975797][2496.984477114] 2025-12-04T09:32:24.9764908Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:24.9767382Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_methods.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:24.976250] 2025-12-04T09:32:27.5292903Z 2025-12-04T09:32:27.5293824Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_c8418e1d6d07b259_.log 2025-12-04T09:32:27.5294437Z Running 0 items in this shard: 2025-12-04T09:32:27.5294640Z 2025-12-04T09:32:27.5294850Z Finished nn/test_init 1/1 ... [2025-12-04 09:32:27.528935][2499.537618754], took 0.07min 2025-12-04T09:32:27.5539700Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_init/nn.test_init-5c873c699af0e578.xml 2025-12-04T09:32:28.6496471Z 2025-12-04T09:32:28.6497598Z torch_np/numpy_tests/core/test_scalar_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_methods_1.1_28d889cf920abf05_.log 2025-12-04T09:32:28.6498436Z Running 0 items in this shard: 2025-12-04T09:32:28.6498604Z 2025-12-04T09:32:28.6498943Z Finished torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 09:32:28.649398][2500.658081952], took 0.06min 2025-12-04T09:32:28.6745899Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_methods/torch_np.numpy_tests.core.test_scalar_methods-8627f8e02fcc60e1.xml 2025-12-04T09:32:31.4259419Z Running torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 09:32:31.425360][2503.434041862] 2025-12-04T09:32:31.4259915Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:31.4261652Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_helper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:31.425785] 2025-12-04T09:32:32.5939123Z Running torch_np/test_function_base 1/1 ... [2025-12-04 09:32:32.593347][2504.602027982] 2025-12-04T09:32:32.5940110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:32.5942859Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_function_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:32.593880] 2025-12-04T09:32:34.9974357Z 2025-12-04T09:32:34.9975477Z torch_np/numpy_tests/fft/test_helper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_helper_1.1_10a81c990a709884_.log 2025-12-04T09:32:34.9976589Z Running 0 items in this shard: 2025-12-04T09:32:34.9976773Z 2025-12-04T09:32:34.9977080Z Finished torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 09:32:34.997156][2507.005841043], took 0.06min 2025-12-04T09:32:35.0227714Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.fft.test_helper/torch_np.numpy_tests.fft.test_helper-2e67a7ffef667f5c.xml 2025-12-04T09:32:36.1669721Z 2025-12-04T09:32:36.1670874Z torch_np/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_function_base_1.1_5059daa0dd11b579_.log 2025-12-04T09:32:36.1671616Z Running 0 items in this shard: 2025-12-04T09:32:36.1671798Z 2025-12-04T09:32:36.1672077Z Finished torch_np/test_function_base 1/1 ... [2025-12-04 09:32:36.166689][2508.17537109], took 0.06min 2025-12-04T09:32:36.1932428Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_function_base/torch_np.test_function_base-ef1dc399388413fa.xml 2025-12-04T09:32:38.9561309Z Running test_type_promotion 1/1 ... [2025-12-04 09:32:38.955606][2510.96428779] 2025-12-04T09:32:38.9561741Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:38.9564965Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_promotion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:38.956058] 2025-12-04T09:32:40.0068756Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 09:32:40.006274][2512.014955011] 2025-12-04T09:32:40.0069431Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:40.0071636Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:40.006759] 2025-12-04T09:32:43.5296053Z 2025-12-04T09:32:43.5296766Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_03d4b65e4f85f949_.log 2025-12-04T09:32:43.5297462Z Running 0 items in this shard: 2025-12-04T09:32:43.5297633Z 2025-12-04T09:32:43.5297878Z Finished test_type_promotion 1/1 ... [2025-12-04 09:32:43.529387][2515.538072005], took 0.08min 2025-12-04T09:32:43.5553668Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_promotion/test_type_promotion-e43c44a8d4ddfa86.xml 2025-12-04T09:32:43.5781487Z 2025-12-04T09:32:43.5782264Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_868b4e71a4e5e90d_.log 2025-12-04T09:32:43.5782998Z Running 0 items in this shard: 2025-12-04T09:32:43.5783473Z 2025-12-04T09:32:43.5784610Z Finished torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 09:32:43.578041][2515.586724709], took 0.06min 2025-12-04T09:32:43.6468205Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_scalars_0D_arrays/torch_np.test_scalars_0D_arrays-c3709217e8390c4b.xml 2025-12-04T09:32:47.5336526Z Running profiler/test_profiler_tree 1/1 ... [2025-12-04 09:32:47.533012][2519.541692053] 2025-12-04T09:32:47.5337165Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:47.5338806Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:47.533498] 2025-12-04T09:32:47.5496270Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 09:32:47.549155][2519.557835257] 2025-12-04T09:32:47.5496817Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:47.5500332Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:47.549608] 2025-12-04T09:32:51.1560317Z 2025-12-04T09:32:51.1561374Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_2a9443b886ed2b4c_.log 2025-12-04T09:32:51.1562163Z Running 0 items in this shard: 2025-12-04T09:32:51.1562333Z 2025-12-04T09:32:51.1562616Z Finished profiler/test_profiler_tree 1/1 ... [2025-12-04 09:32:51.155770][2523.164454341], took 0.06min 2025-12-04T09:32:51.1822529Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_profiler_tree/profiler.test_profiler_tree-ceb429e9220350c6.xml 2025-12-04T09:32:51.2719720Z 2025-12-04T09:32:51.2720962Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_f9d312ccacf46e23_.log 2025-12-04T09:32:51.2721794Z Running 0 items in this shard: 2025-12-04T09:32:51.2721965Z 2025-12-04T09:32:51.2722285Z Finished torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 09:32:51.271754][2523.280438412], took 0.06min 2025-12-04T09:32:51.2961320Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraysetops/torch_np.numpy_tests.lib.test_arraysetops-c5f002803ae399c2.xml 2025-12-04T09:32:55.0904919Z Running test_dlpack 1/1 ... [2025-12-04 09:32:55.089883][2527.098564169] 2025-12-04T09:32:55.0905321Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:55.0908304Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dlpack.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:55.090392] 2025-12-04T09:32:55.1608336Z Running profiler/test_torch_tidy 1/1 ... [2025-12-04 09:32:55.160268][2527.168949079] 2025-12-04T09:32:55.1608787Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:55.1611926Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_torch_tidy.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:55.160779] 2025-12-04T09:32:57.3561760Z 2025-12-04T09:32:57.3563149Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_eaf97160b770861d_.log 2025-12-04T09:32:57.3563961Z Running 0 items in this shard: 2025-12-04T09:32:57.3564132Z 2025-12-04T09:32:57.3564372Z Finished test_unary_ufuncs 1/1 ... [2025-12-04 09:32:57.355873][2529.364555606], took 0.84min 2025-12-04T09:32:57.3800491Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-ec9329c69e557452.xml 2025-12-04T09:32:59.2146358Z 2025-12-04T09:32:59.2147216Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_c2adee8e1defaacf_.log 2025-12-04T09:32:59.2147849Z Running 0 items in this shard: 2025-12-04T09:32:59.2148023Z 2025-12-04T09:32:59.2148246Z Finished test_dlpack 1/1 ... [2025-12-04 09:32:59.214407][2531.223090723], took 0.07min 2025-12-04T09:32:59.2431714Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dlpack/test_dlpack-6494d56a0be1cf6a.xml 2025-12-04T09:32:59.2704739Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_torch_tidy/profiler.test_torch_tidy-3ad39269c0dcac3a.xml 2025-12-04T09:32:59.2843788Z 2025-12-04T09:32:59.2844576Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_c4724ca3315ecc4c_.log 2025-12-04T09:32:59.2860917Z Running 50 items in this shard: test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids 2025-12-04T09:32:59.2876811Z 2025-12-04T09:32:59.2877088Z Finished profiler/test_torch_tidy 1/1 ... [2025-12-04 09:32:59.284262][2531.292945781], took 0.07min 2025-12-04T09:33:01.4560218Z Running lazy/test_reuse_ir 1/1 ... [2025-12-04 09:33:01.455484][2533.464165083] 2025-12-04T09:33:01.4560733Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:01.4563907Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:01.455989] 2025-12-04T09:33:03.2500613Z Running torch_np/test_reductions 1/1 ... [2025-12-04 09:33:03.249521][2535.258202322] 2025-12-04T09:33:03.2501066Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:03.2503699Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:03.249956] 2025-12-04T09:33:03.2774823Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 09:33:03.276979][2535.285661216] 2025-12-04T09:33:03.2775337Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:03.2778687Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:03.277478] 2025-12-04T09:33:05.0789147Z 2025-12-04T09:33:05.0790460Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_cd4fb7a6c5972e04_.log 2025-12-04T09:33:05.0791397Z Running 0 items in this shard: 2025-12-04T09:33:05.0791569Z 2025-12-04T09:33:05.0791811Z Finished lazy/test_reuse_ir 1/1 ... [2025-12-04 09:33:05.078483][2537.087166082], took 0.06min 2025-12-04T09:33:05.1065687Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_reuse_ir/lazy.test_reuse_ir-258146d216620832.xml 2025-12-04T09:33:07.0504798Z 2025-12-04T09:33:07.0506368Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_ee29c616a6411219_.log 2025-12-04T09:33:07.0507560Z Running 0 items in this shard: 2025-12-04T09:33:07.0507738Z 2025-12-04T09:33:07.0508064Z Finished torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 09:33:07.050262][2539.058946091], took 0.06min 2025-12-04T09:33:07.0907269Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_ctors/torch_np.numpy_tests.core.test_scalar_ctors-07dfc7a549f262c4.xml 2025-12-04T09:33:08.7764881Z 2025-12-04T09:33:08.7765968Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_22e443524611573f_.log 2025-12-04T09:33:08.7766730Z Running 0 items in this shard: 2025-12-04T09:33:08.7766948Z 2025-12-04T09:33:08.7767216Z Finished torch_np/test_reductions 1/1 ... [2025-12-04 09:33:08.776205][2540.784889419], took 0.09min 2025-12-04T09:33:08.8041694Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_reductions/torch_np.test_reductions-8c745a73f346142d.xml 2025-12-04T09:33:09.0639995Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 09:33:09.063180][2541.071860399] 2025-12-04T09:33:09.0641224Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:09.0642659Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:09.063710] 2025-12-04T09:33:10.9452696Z Running test_prims 1/1 ... [2025-12-04 09:33:10.944645][2542.953326642] 2025-12-04T09:33:10.9453103Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:10.9455336Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_prims.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:10.945119] 2025-12-04T09:33:12.7369283Z 2025-12-04T09:33:12.7370303Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_45d3788146303db0_.log 2025-12-04T09:33:12.7371120Z Running 0 items in this shard: 2025-12-04T09:33:12.7371288Z 2025-12-04T09:33:12.7371624Z Finished torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 09:33:12.736698][2544.745382492], took 0.06min 2025-12-04T09:33:12.7479923Z Running profiler/test_python_tracer 1/1 ... [2025-12-04 09:33:12.747345][2544.756027076] 2025-12-04T09:33:12.7480492Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:12.7483567Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_python_tracer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:12.747894] 2025-12-04T09:33:12.7664292Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraypad/torch_np.numpy_tests.lib.test_arraypad-ca44efdf5b6dcce2.xml 2025-12-04T09:33:15.9699977Z 2025-12-04T09:33:15.9700866Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_b698ccb30226b20b_.log 2025-12-04T09:33:15.9702163Z Running 0 items in this shard: 2025-12-04T09:33:15.9702350Z 2025-12-04T09:33:15.9702579Z Finished test_prims 1/1 ... [2025-12-04 09:33:15.969706][2547.97838984], took 0.08min 2025-12-04T09:33:15.9989050Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_prims/test_prims-46e0317a2523b29f.xml 2025-12-04T09:33:16.0265217Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_python_tracer/profiler.test_python_tracer-c91fda754b19ed73.xml 2025-12-04T09:33:16.4210030Z 2025-12-04T09:33:16.4210987Z profiler/test_python_tracer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_python_tracer_1.1_b71876371a65b2e1_.log 2025-12-04T09:33:16.4211749Z Running 0 items in this shard: 2025-12-04T09:33:16.4211926Z 2025-12-04T09:33:16.4212215Z Finished profiler/test_python_tracer 1/1 ... [2025-12-04 09:33:16.420722][2548.429405868], took 0.06min 2025-12-04T09:33:16.6191709Z Running cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 09:33:16.618692][2548.627372106] 2025-12-04T09:33:16.6192338Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:16.6196321Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:16.619228] 2025-12-04T09:33:20.3421989Z 2025-12-04T09:33:20.3423736Z cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_fdaf7e880298a12c_.log 2025-12-04T09:33:20.3425380Z Running 0 items in this shard: 2025-12-04T09:33:20.3425645Z 2025-12-04T09:33:20.3426381Z Finished cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 09:33:20.341883][2552.350566976], took 0.06min 2025-12-04T09:33:20.3715392Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility-57c1c977d1a0e07f.xml 2025-12-04T09:33:21.2482241Z Running test batch 'tests to run' cost 1572.03 seconds 2025-12-04T09:33:21.2494650Z Emitting td_test_failure_stats_v2 2025-12-04T09:33:21.2498382Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764840801_45f0d910d0f411f0aa2a0242ac110002 2025-12-04T09:33:21.3590431Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764840801_45f0d910d0f411f0aa2a0242ac110002 2025-12-04T09:33:21.3592489Z test_ci_sanity_check_fail 1/1 failed! 2025-12-04T09:33:22.4975501Z 2025-12-04T09:33:22.4975751Z real 26m18.523s 2025-12-04T09:33:22.4975978Z user 33m26.614s 2025-12-04T09:33:22.4976182Z sys 11m22.323s 2025-12-04T09:33:22.4976385Z + assert_git_not_dirty 2025-12-04T09:33:22.4976687Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 != *rocm* ]] 2025-12-04T09:33:22.4977089Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 != *xla* ]] 2025-12-04T09:33:22.4985214Z ++ git status --porcelain 2025-12-04T09:33:22.4985729Z ++ grep -v '?? third_party' 2025-12-04T09:33:26.7813764Z ++ true 2025-12-04T09:33:26.7816757Z + git_status= 2025-12-04T09:33:26.7817081Z + [[ -n '' ]] 2025-12-04T09:33:26.7817494Z + test_aten 2025-12-04T09:33:26.7817800Z + echo 'Running ATen tests with pytorch lib' 2025-12-04T09:33:26.7818127Z Running ATen tests with pytorch lib 2025-12-04T09:33:26.7818477Z + [[ -n '' ]] 2025-12-04T09:33:26.7818793Z + echo 'Running test with the build folder' 2025-12-04T09:33:26.7829286Z Running test with the build folder 2025-12-04T09:33:26.7829885Z + TEST_BASE_DIR=build/bin 2025-12-04T09:33:26.7830926Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so build/bin 2025-12-04T09:33:26.7839942Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so build/bin 2025-12-04T09:33:26.7864481Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libmkldnn*' build/bin 2025-12-04T09:33:26.7880440Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnccl*' build/bin 2025-12-04T09:33:26.7897888Z + 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_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.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_nvshmem.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 2025-12-04T09:33:26.7912216Z + ls build/bin 2025-12-04T09:33:26.7936721Z BackoffTest 2025-12-04T09:33:26.7937153Z CppSignature_test 2025-12-04T09:33:26.7937386Z Dict_test 2025-12-04T09:33:26.7937564Z Dimname_test 2025-12-04T09:33:26.7937782Z FileStoreTest 2025-12-04T09:33:26.7938060Z HashStoreTest 2025-12-04T09:33:26.7938319Z IListRef_test 2025-12-04T09:33:26.7938589Z KernelFunction_test 2025-12-04T09:33:26.7938892Z List_test 2025-12-04T09:33:26.7939131Z MaybeOwned_test 2025-12-04T09:33:26.7939407Z NamedTensor_test 2025-12-04T09:33:26.7939725Z ProcessGroupGlooAsyncTest 2025-12-04T09:33:26.7940061Z ProcessGroupGlooTest 2025-12-04T09:33:26.7940391Z ProcessGroupMPITest 2025-12-04T09:33:26.7940696Z ProcessGroupNCCLErrorsTest 2025-12-04T09:33:26.7941028Z ProcessGroupNCCLTest 2025-12-04T09:33:26.7941336Z StorageUtils_test 2025-12-04T09:33:26.7941619Z TCPStoreTest 2025-12-04T09:33:26.7941861Z apply_utils_test 2025-12-04T09:33:26.7942082Z atest 2025-12-04T09:33:26.7942338Z backend_fallback_test 2025-12-04T09:33:26.7942594Z basic 2025-12-04T09:33:26.7942773Z broadcast_test 2025-12-04T09:33:26.7943026Z c10_AllocatorConfig_test 2025-12-04T09:33:26.7943299Z c10_ArrayRef_test 2025-12-04T09:33:26.7943502Z c10_Bitset_test 2025-12-04T09:33:26.7943824Z c10_CompileTimeFunctionPointer_test 2025-12-04T09:33:26.7944122Z c10_ConstexprCrc_test 2025-12-04T09:33:26.7944351Z c10_DeadlockDetection_test 2025-12-04T09:33:26.7944637Z c10_DeviceGuard_test 2025-12-04T09:33:26.7944870Z c10_Device_test 2025-12-04T09:33:26.7945098Z c10_DispatchKeySet_test 2025-12-04T09:33:26.7945371Z c10_Enumerate_test 2025-12-04T09:33:26.7945572Z c10_Half_test 2025-12-04T09:33:26.7945786Z c10_InlineDeviceGuard_test 2025-12-04T09:33:26.7946031Z c10_InlineStreamGuard_test 2025-12-04T09:33:26.7946271Z c10_IntrusiveList_test 2025-12-04T09:33:26.7946487Z c10_LeftRight_test 2025-12-04T09:33:26.7946773Z c10_NetworkFlow_test 2025-12-04T09:33:26.7946986Z c10_Scalar_test 2025-12-04T09:33:26.7947194Z c10_Semaphore_test 2025-12-04T09:33:26.7947419Z c10_SizesAndStrides_test 2025-12-04T09:33:26.7947702Z c10_StreamGuard_test 2025-12-04T09:33:26.7947914Z c10_SymInt_test 2025-12-04T09:33:26.7948119Z c10_Synchronized_test 2025-12-04T09:33:26.7948329Z c10_ThreadLocal_test 2025-12-04T09:33:26.7948542Z c10_TypeIndex_test 2025-12-04T09:33:26.7948927Z c10_accumulate_test 2025-12-04T09:33:26.7949132Z c10_bfloat16_test 2025-12-04T09:33:26.7949332Z c10_bit_cast_test 2025-12-04T09:33:26.7949535Z c10_complex_math_test 2025-12-04T09:33:26.7949742Z c10_complex_test 2025-12-04T09:33:26.7949938Z c10_cow_test 2025-12-04T09:33:26.7950170Z c10_cuda_CUDAAssertionsTest_1_var_test 2025-12-04T09:33:26.7950623Z c10_cuda_CUDAAssertionsTest_catches_stream 2025-12-04T09:33:26.7951015Z c10_cuda_CUDAAssertionsTest_catches_thread_and_block_and_device 2025-12-04T09:33:26.7951413Z c10_cuda_CUDAAssertionsTest_from_2_processes 2025-12-04T09:33:26.7951813Z c10_cuda_CUDAAssertionsTest_multiple_writes_from_blocks_and_threads 2025-12-04T09:33:26.7952388Z c10_cuda_CUDAAssertionsTest_multiple_writes_from_multiple_blocks 2025-12-04T09:33:26.7952836Z c10_cuda_CUDAAssertionsTest_multiple_writes_from_same_block 2025-12-04T09:33:26.7953174Z c10_cuda_CUDATest 2025-12-04T09:33:26.7953376Z c10_error_test 2025-12-04T09:33:26.7953581Z c10_exception_test 2025-12-04T09:33:26.7953798Z c10_flags_test 2025-12-04T09:33:26.7953989Z c10_generic_math_test 2025-12-04T09:33:26.7954438Z c10_intrusive_ptr_benchmark 2025-12-04T09:33:26.7954781Z c10_intrusive_ptr_test 2025-12-04T09:33:26.7955069Z c10_irange_test 2025-12-04T09:33:26.7955351Z c10_lazy_test 2025-12-04T09:33:26.7955620Z c10_logging_test 2025-12-04T09:33:26.7955889Z c10_nofatal_test 2025-12-04T09:33:26.7956174Z c10_optional_test 2025-12-04T09:33:26.7956488Z c10_ordered_preserving_dict_test 2025-12-04T09:33:26.7956846Z c10_registry_test 2025-12-04T09:33:26.7957128Z c10_small_vector_test 2025-12-04T09:33:26.7957417Z c10_ssize_test 2025-12-04T09:33:26.7957682Z c10_string_util_test 2025-12-04T09:33:26.7957979Z c10_string_view_test 2025-12-04T09:33:26.7958267Z c10_tempfile_test 2025-12-04T09:33:26.7958536Z c10_typeid_test 2025-12-04T09:33:26.7958806Z cpu_allocator_test 2025-12-04T09:33:26.7959014Z cpu_generator_test 2025-12-04T09:33:26.7959234Z cpu_profiling_allocator_test 2025-12-04T09:33:26.7959479Z cpu_rng_test 2025-12-04T09:33:26.7959695Z cuda_allocatorTraceTracker_test 2025-12-04T09:33:26.7959957Z cuda_allocator_test 2025-12-04T09:33:26.7960172Z cuda_apply_test 2025-12-04T09:33:26.7960377Z cuda_atomic_ops_test 2025-12-04T09:33:26.7960604Z cuda_caching_host_allocator_test 2025-12-04T09:33:26.7960862Z cuda_complex_math_test 2025-12-04T09:33:26.7961074Z cuda_complex_test 2025-12-04T09:33:26.7961273Z cuda_cub_test 2025-12-04T09:33:26.7961479Z cuda_cublas_handle_pool_test 2025-12-04T09:33:26.7961708Z cuda_cudnn_test 2025-12-04T09:33:26.7961901Z cuda_device_test 2025-12-04T09:33:26.7962109Z cuda_distributions_test 2025-12-04T09:33:26.7962331Z cuda_dlconvertor_test 2025-12-04T09:33:26.7962543Z cuda_event_test 2025-12-04T09:33:26.7962746Z cuda_exchange_device_test 2025-12-04T09:33:26.7962977Z cuda_generator_test 2025-12-04T09:33:26.7963180Z cuda_half_test 2025-12-04T09:33:26.7963385Z cuda_integer_divider_test 2025-12-04T09:33:26.7963612Z cuda_optional_test 2025-12-04T09:33:26.7963828Z cuda_packedtensoraccessor_test 2025-12-04T09:33:26.7964138Z cuda_reportMemoryUsage_test 2025-12-04T09:33:26.7964432Z cuda_stream_test 2025-12-04T09:33:26.7964712Z cuda_vectorized_test 2025-12-04T09:33:26.7964927Z dlconvertor_test 2025-12-04T09:33:26.7965127Z example_allreduce 2025-12-04T09:33:26.7965327Z extension_backend_test 2025-12-04T09:33:26.7965534Z half_test 2025-12-04T09:33:26.7965723Z inline_container_test 2025-12-04T09:33:26.7965995Z ivalue_test 2025-12-04T09:33:26.7966218Z kernel_function_legacy_test 2025-12-04T09:33:26.7966456Z kernel_function_test 2025-12-04T09:33:26.7966681Z kernel_lambda_legacy_test 2025-12-04T09:33:26.7966974Z kernel_lambda_test 2025-12-04T09:33:26.7967188Z kernel_stackbased_test 2025-12-04T09:33:26.7967395Z lazy_tensor_test 2025-12-04T09:33:26.7967667Z legacy_vmap_test 2025-12-04T09:33:26.7967867Z libc10.so 2025-12-04T09:33:26.7968040Z libc10_cuda.so 2025-12-04T09:33:26.7968235Z libc10d_cuda_test.so 2025-12-04T09:33:26.7968446Z libcaffe2_nvrtc.so 2025-12-04T09:33:26.7968715Z 'libmkldnn*' 2025-12-04T09:33:26.7968906Z 'libnccl*' 2025-12-04T09:33:26.7969142Z libtorch.so 2025-12-04T09:33:26.7969347Z libtorch_cpu.so 2025-12-04T09:33:26.7969545Z libtorch_cuda.so 2025-12-04T09:33:26.7969753Z libtorch_cuda_linalg.so 2025-12-04T09:33:26.7970053Z libtorch_global_deps.so 2025-12-04T09:33:26.7970281Z libtorch_nvshmem.so 2025-12-04T09:33:26.7970592Z libtorch_python.so 2025-12-04T09:33:26.7970794Z libtorchbind_test.so 2025-12-04T09:33:26.7971029Z make_boxed_from_unboxed_functor_test 2025-12-04T09:33:26.7971291Z math_kernel_test 2025-12-04T09:33:26.7971492Z memory_format_test 2025-12-04T09:33:26.7971696Z memory_overlapping_test 2025-12-04T09:33:26.7971982Z mobile_memory_cleanup 2025-12-04T09:33:26.7972189Z native_test 2025-12-04T09:33:26.7972369Z op_allowlist_test 2025-12-04T09:33:26.7972572Z op_registration_test 2025-12-04T09:33:26.7972787Z operator_name_test 2025-12-04T09:33:26.7972978Z operators_test 2025-12-04T09:33:26.7973191Z packedtensoraccessor_test 2025-12-04T09:33:26.7973429Z parallel_benchmark 2025-12-04T09:33:26.7973620Z pow_test 2025-12-04T09:33:26.7973794Z protoc 2025-12-04T09:33:26.7973969Z protoc-3.13.0.0 2025-12-04T09:33:26.7974161Z quantized_test 2025-12-04T09:33:26.7974363Z reduce_ops_test 2025-12-04T09:33:26.7974570Z reportMemoryUsage_test 2025-12-04T09:33:26.7974783Z scalar_tensor_test 2025-12-04T09:33:26.7974982Z scalar_test 2025-12-04T09:33:26.7975174Z stride_properties_test 2025-12-04T09:33:26.7975387Z tensor_iterator_test 2025-12-04T09:33:26.7975596Z test_aoti_abi_check 2025-12-04T09:33:26.7975795Z test_api 2025-12-04T09:33:26.7975963Z test_cpp_rpc 2025-12-04T09:33:26.7976148Z test_dist_autograd 2025-12-04T09:33:26.7976349Z test_jit 2025-12-04T09:33:26.7976512Z test_lazy 2025-12-04T09:33:26.7976689Z test_parallel 2025-12-04T09:33:26.7976876Z test_vec_half_AVX2 2025-12-04T09:33:26.7977069Z test_vec_half_AVX512 2025-12-04T09:33:26.7977279Z test_vec_half_DEFAULT 2025-12-04T09:33:26.7977504Z thread_init_test 2025-12-04T09:33:26.7977710Z torch_shm_manager 2025-12-04T09:33:26.7977902Z type_ptr_test 2025-12-04T09:33:26.7978089Z type_test 2025-12-04T09:33:26.7978273Z undefined_tensor_test 2025-12-04T09:33:26.7978487Z vec_test_all_types_AVX2 2025-12-04T09:33:26.7978718Z vec_test_all_types_AVX512 2025-12-04T09:33:26.7978955Z vec_test_all_types_DEFAULT 2025-12-04T09:33:26.7979194Z verify_api_visibility 2025-12-04T09:33:26.7979408Z weakref_test 2025-12-04T09:33:26.7979595Z wrapdim_test 2025-12-04T09:33:26.7979776Z xla_tensor_test 2025-12-04T09:33:26.7979994Z + aten/tools/run_tests.sh build/bin 2025-12-04T09:33:26.7980245Z + set -e 2025-12-04T09:33:26.7980452Z ++ dirname aten/tools/run_tests.sh 2025-12-04T09:33:26.7984383Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2025-12-04T09:33:26.7984774Z + export CPP_TESTS_DIR=build/bin 2025-12-04T09:33:26.7985066Z + CPP_TESTS_DIR=build/bin 2025-12-04T09:33:26.7985332Z + VALGRIND=ON 2025-12-04T09:33:26.7986845Z + python test/run_test.py --cpp --verbose -i cpp/basic cpp/atest cpp/scalar_test cpp/broadcast_test cpp/wrapdim_test cpp/apply_utils_test cpp/dlconvertor_test cpp/native_test cpp/scalar_tensor_test cpp/undefined_tensor_test cpp/extension_backend_test cpp/lazy_tensor_test cpp/tensor_iterator_test cpp/Dimname_test cpp/Dict_test cpp/NamedTensor_test cpp/cpu_generator_test cpp/legacy_vmap_test cpp/operators_test 2025-12-04T09:33:31.9282121Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:33:31.9381931Z Found test times from artifacts 2025-12-04T09:33:31.9781963Z Found test times from artifacts 2025-12-04T09:33:31.9792897Z Running all tests 2025-12-04T09:33:31.9799050Z Running parallel tests on 3 processes 2025-12-04T09:33:31.9799997Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:33:31.9800392Z Serial tests (0): 2025-12-04T09:33:31.9800696Z Parallel tests (19): 2025-12-04T09:33:31.9801012Z cpp/Dict_test 1/1 2025-12-04T09:33:31.9801573Z cpp/Dimname_test 1/1 2025-12-04T09:33:31.9801901Z cpp/NamedTensor_test 1/1 2025-12-04T09:33:31.9802265Z cpp/apply_utils_test 1/1 2025-12-04T09:33:31.9802616Z cpp/atest 1/1 2025-12-04T09:33:31.9802936Z cpp/basic 1/1 2025-12-04T09:33:31.9803237Z cpp/broadcast_test 1/1 2025-12-04T09:33:31.9803587Z cpp/cpu_generator_test 1/1 2025-12-04T09:33:31.9804225Z cpp/dlconvertor_test 1/1 2025-12-04T09:33:31.9804623Z cpp/extension_backend_test 1/1 2025-12-04T09:33:31.9805069Z cpp/lazy_tensor_test 1/1 2025-12-04T09:33:31.9805465Z cpp/legacy_vmap_test 1/1 2025-12-04T09:33:31.9805817Z cpp/native_test 1/1 2025-12-04T09:33:31.9806158Z cpp/operators_test 1/1 2025-12-04T09:33:31.9806714Z cpp/scalar_tensor_test 1/1 2025-12-04T09:33:31.9807125Z cpp/scalar_test 1/1 2025-12-04T09:33:31.9807511Z cpp/tensor_iterator_test 1/1 2025-12-04T09:33:31.9807923Z cpp/undefined_tensor_test 1/1 2025-12-04T09:33:31.9808322Z cpp/wrapdim_test 1/1 2025-12-04T09:33:31.9808704Z Name: excluded (est. time: 0.0min) 2025-12-04T09:33:31.9809075Z Serial tests (0): 2025-12-04T09:33:31.9809364Z Parallel tests (0): 2025-12-04T09:33:31.9809836Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:33:31.980549][2563.989233018] 2025-12-04T09:33:31.9810486Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:31.9811008Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:31.9811745Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:33:31.980788][2563.98947368], took 0.00min 2025-12-04T09:33:32.5644300Z Uploading artifacts took 0.56 seconds 2025-12-04T09:33:32.5644777Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:33:32.564126][2564.572807777] 2025-12-04T09:33:32.5645208Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:32.5645562Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:32.5646073Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:33:32.564288][2564.572974949], took 0.00min 2025-12-04T09:33:32.5928542Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:33:32.592485][2564.601170964] 2025-12-04T09:33:32.5928969Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:32.5929322Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:32.5929826Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:33:32.592637][2564.601324175], took 0.00min 2025-12-04T09:33:32.6203512Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:33:32.619986][2564.628671571] 2025-12-04T09:33:32.6204233Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:32.6204783Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:32.6205525Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:33:32.620134][2564.628821233], took 0.00min 2025-12-04T09:33:32.6476216Z Running cpp/atest 1/1 ... [2025-12-04 09:33:32.647159][2564.655845464] 2025-12-04T09:33:32.6476831Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:32.6477437Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:32.6478137Z Finished cpp/atest 1/1 ... [2025-12-04 09:33:32.647307][2564.655994346], took 0.00min 2025-12-04T09:33:32.6747346Z Running cpp/basic 1/1 ... [2025-12-04 09:33:32.674333][2564.683018777] 2025-12-04T09:33:32.6748000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:32.6748522Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:32.6749248Z Finished cpp/basic 1/1 ... [2025-12-04 09:33:32.674480][2564.683167489], took 0.00min 2025-12-04T09:33:32.7021172Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:33:32.701594][2564.710279702] 2025-12-04T09:33:32.7021841Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:32.7022398Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:32.7023271Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:33:32.701739][2564.710425973], took 0.00min 2025-12-04T09:33:32.7289512Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:33:32.728553][2564.737238992] 2025-12-04T09:33:32.7290246Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:32.7290983Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:32.7291809Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:33:32.728700][2564.737386594], took 0.00min 2025-12-04T09:33:32.7558615Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:33:32.755470][2564.764156174] 2025-12-04T09:33:32.7828314Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:32.7828885Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:32.7829677Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:33:32.755615][2564.764301595], took 0.00min 2025-12-04T09:33:32.7830613Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:33:32.782408][2564.791093884] 2025-12-04T09:33:32.7831488Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:32.7832058Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:32.7832917Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:33:32.782554][2564.791241095], took 0.00min 2025-12-04T09:33:32.8097678Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:33:32.809360][2564.818045325] 2025-12-04T09:33:32.8098363Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:32.8098884Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:32.8099725Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:33:32.809505][2564.818192717], took 0.00min 2025-12-04T09:33:32.8368549Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:33:32.836464][2564.845150337] 2025-12-04T09:33:32.8369250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:32.8369764Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:32.8370589Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:33:32.836609][2564.845296119], took 0.00min 2025-12-04T09:33:32.8637462Z Running cpp/native_test 1/1 ... [2025-12-04 09:33:32.863333][2564.872019297] 2025-12-04T09:33:32.8638128Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:32.8638640Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:32.8639425Z Finished cpp/native_test 1/1 ... [2025-12-04 09:33:32.863484][2564.872170989], took 0.00min 2025-12-04T09:33:32.8906864Z Running cpp/operators_test 1/1 ... [2025-12-04 09:33:32.890235][2564.898921198] 2025-12-04T09:33:32.8907343Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:32.8907711Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:32.8908225Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:33:32.890380][2564.899067749], took 0.00min 2025-12-04T09:33:32.9173146Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:33:32.916903][2564.925589236] 2025-12-04T09:33:32.9173565Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:32.9173925Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:32.9174444Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:33:32.917049][2564.925736358], took 0.00min 2025-12-04T09:33:32.9443261Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:33:32.943951][2564.952637558] 2025-12-04T09:33:32.9443661Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:32.9444010Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:32.9444493Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:33:32.944121][2564.95280679], took 0.00min 2025-12-04T09:33:32.9726499Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:33:32.972221][2564.980906652] 2025-12-04T09:33:32.9727022Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:32.9727378Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:32.9727897Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:33:32.972393][2564.981079944], took 0.00min 2025-12-04T09:33:32.9996388Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:33:32.999275][2565.007961095] 2025-12-04T09:33:32.9996972Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:32.9997582Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:32.9998154Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:33:32.999456][2565.008142827], took 0.00min 2025-12-04T09:33:33.0276607Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:33:33.027295][2565.035981348] 2025-12-04T09:33:33.0277146Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:33.0277625Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:33.0278400Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:33:33.027486][2565.03617232], took 0.00min 2025-12-04T09:33:36.3346781Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:33:36.334089][2568.342770343] 2025-12-04T09:33:36.3347318Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:36.3347672Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:36.3348501Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:33:36.334289][2568.342975505], took 0.00min 2025-12-04T09:33:36.3541319Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:33:36.353544][2568.362226603] 2025-12-04T09:33:36.3541890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:36.3542385Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:36.3543058Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:33:36.353755][2568.362440945], took 0.00min 2025-12-04T09:33:36.3766376Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:33:36.376027][2568.384707405] 2025-12-04T09:33:36.3766978Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:36.3767357Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:36.3767875Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:33:36.376228][2568.384913337], took 0.00min 2025-12-04T09:33:40.1908240Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:33:40.190121][2572.198802576] 2025-12-04T09:33:40.1908857Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:40.1909219Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:40.1909737Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:33:40.190335][2572.199021249], took 0.00min 2025-12-04T09:33:40.4314216Z Running cpp/atest 1/1 ... [2025-12-04 09:33:40.430861][2572.439541035] 2025-12-04T09:33:40.4314687Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:40.4315070Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:40.4315608Z Finished cpp/atest 1/1 ... [2025-12-04 09:33:40.431053][2572.439739197], took 0.00min 2025-12-04T09:33:40.4610773Z Running cpp/basic 1/1 ... [2025-12-04 09:33:40.460511][2572.469192354] 2025-12-04T09:33:40.4611279Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:40.4611635Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:40.4612198Z Finished cpp/basic 1/1 ... [2025-12-04 09:33:40.460738][2572.469424257], took 0.00min 2025-12-04T09:33:44.1342341Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:33:44.133620][2576.142301714] 2025-12-04T09:33:44.1342771Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:44.1343118Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:44.1343633Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:33:44.133815][2576.142502266], took 0.00min 2025-12-04T09:33:44.4417112Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:33:44.440968][2576.449648932] 2025-12-04T09:33:44.4417925Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:44.4418705Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:44.4419701Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:33:44.441173][2576.449860434], took 0.00min 2025-12-04T09:33:44.4610649Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:33:44.460369][2576.469050423] 2025-12-04T09:33:44.4611305Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:44.4611829Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:44.4612642Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:33:44.460583][2576.469269805], took 0.00min 2025-12-04T09:33:48.0625125Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:33:48.061926][2580.070607836] 2025-12-04T09:33:48.0625745Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:48.0626422Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:48.0626961Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:33:48.062137][2580.070823348], took 0.00min 2025-12-04T09:33:48.4728087Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:33:48.472236][2580.480917688] 2025-12-04T09:33:48.4730064Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:48.4730447Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:48.4730951Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:33:48.472428][2580.4811153], took 0.00min 2025-12-04T09:33:48.4918101Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:33:48.491196][2580.499877253] 2025-12-04T09:33:48.4918934Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:48.4919287Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:48.4919856Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:33:48.491438][2580.500124685], took 0.00min 2025-12-04T09:33:52.0342499Z Running cpp/native_test 1/1 ... [2025-12-04 09:33:52.033642][2584.042323728] 2025-12-04T09:33:52.0343060Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:52.0343425Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:52.0351661Z Finished cpp/native_test 1/1 ... [2025-12-04 09:33:52.033834][2584.04252007], took 0.00min 2025-12-04T09:33:52.4401169Z Running cpp/operators_test 1/1 ... [2025-12-04 09:33:52.439476][2584.448158001] 2025-12-04T09:33:52.4401774Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:52.4402134Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:52.4402656Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:33:52.439662][2584.448348973], took 0.00min 2025-12-04T09:33:52.4747696Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:33:52.474157][2584.482838896] 2025-12-04T09:33:52.4748307Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:52.4748709Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:52.4749264Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:33:52.474383][2584.483068378], took 0.00min 2025-12-04T09:33:55.9526550Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:33:55.952036][2587.960717253] 2025-12-04T09:33:55.9527124Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:55.9527518Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:55.9528021Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:33:55.952232][2587.960919285], took 0.00min 2025-12-04T09:33:56.4285727Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:33:56.427938][2588.436619634] 2025-12-04T09:33:56.4286355Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:56.4286751Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:56.4287285Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:33:56.428130][2588.436817336], took 0.00min 2025-12-04T09:33:56.4968786Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:33:56.496271][2588.504952662] 2025-12-04T09:33:56.4969443Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:56.4969808Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:56.4970338Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:33:56.496468][2588.505154784], took 0.00min 2025-12-04T09:33:59.9256475Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:33:59.924959][2591.933640899] 2025-12-04T09:33:59.9257236Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:59.9257884Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:33:59.9258605Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:33:59.925147][2591.933834101], took 0.00min 2025-12-04T09:34:01.1994457Z Running test batch 'tests to run' cost 29.22 seconds 2025-12-04T09:34:01.9286122Z + run_if_exists tensor_interop_test 2025-12-04T09:34:01.9286557Z + local test_name=tensor_interop_test 2025-12-04T09:34:01.9286871Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T09:34:01.9287588Z + echo 'Warning: tensor_interop_test does not exist.' 2025-12-04T09:34:01.9287935Z Warning: tensor_interop_test does not exist. 2025-12-04T09:34:01.9288221Z + run_if_exists cudnn_test 2025-12-04T09:34:01.9288467Z + local test_name=cudnn_test 2025-12-04T09:34:01.9288720Z + [[ -x build/bin/cudnn_test ]] 2025-12-04T09:34:01.9288985Z + echo 'Warning: cudnn_test does not exist.' 2025-12-04T09:34:01.9289468Z Warning: cudnn_test does not exist. 2025-12-04T09:34:01.9289747Z + run_if_exists cuda_generator_test 2025-12-04T09:34:01.9290017Z + local test_name=cuda_generator_test 2025-12-04T09:34:01.9290306Z + [[ -x build/bin/cuda_generator_test ]] 2025-12-04T09:34:01.9290694Z + python test/run_test.py --cpp --verbose -i cpp/cuda_generator_test 2025-12-04T09:34:07.0256625Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:34:07.0356802Z Found test times from artifacts 2025-12-04T09:34:07.0753751Z Found test times from artifacts 2025-12-04T09:34:07.0766682Z Running all tests 2025-12-04T09:34:07.0770568Z Running parallel tests on 3 processes 2025-12-04T09:34:07.0771085Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:34:07.0771555Z Serial tests (0): 2025-12-04T09:34:07.0771921Z Parallel tests (1): 2025-12-04T09:34:07.0772285Z cpp/cuda_generator_test 1/1 2025-12-04T09:34:07.0772709Z Name: excluded (est. time: 0.0min) 2025-12-04T09:34:07.0773104Z Serial tests (0): 2025-12-04T09:34:07.0773396Z Parallel tests (0): 2025-12-04T09:34:07.0773913Z Running cpp/cuda_generator_test 1/1 ... [2025-12-04 09:34:07.077010][2599.085695205] 2025-12-04T09:34:07.0774562Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:07.0775137Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:34:07.0775919Z Finished cpp/cuda_generator_test 1/1 ... [2025-12-04 09:34:07.077243][2599.085929528], took 0.00min 2025-12-04T09:34:07.6435366Z Uploading artifacts took 0.54 seconds 2025-12-04T09:34:10.9531019Z Running cpp/cuda_generator_test 1/1 ... [2025-12-04 09:34:10.952461][2602.961142382] 2025-12-04T09:34:10.9531536Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:10.9532113Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:34:10.9532656Z Finished cpp/cuda_generator_test 1/1 ... [2025-12-04 09:34:10.952647][2602.961334205], took 0.00min 2025-12-04T09:34:11.8556305Z Running test batch 'tests to run' cost 4.78 seconds 2025-12-04T09:34:12.5902889Z + run_if_exists apply_test 2025-12-04T09:34:12.5903320Z + local test_name=apply_test 2025-12-04T09:34:12.5903698Z + [[ -x build/bin/apply_test ]] 2025-12-04T09:34:12.5904037Z + echo 'Warning: apply_test does not exist.' 2025-12-04T09:34:12.5904397Z Warning: apply_test does not exist. 2025-12-04T09:34:12.5904693Z + run_if_exists stream_test 2025-12-04T09:34:12.5904941Z + local test_name=stream_test 2025-12-04T09:34:12.5905193Z + [[ -x build/bin/stream_test ]] 2025-12-04T09:34:12.5905472Z + echo 'Warning: stream_test does not exist.' 2025-12-04T09:34:12.5905781Z Warning: stream_test does not exist. 2025-12-04T09:34:12.5906046Z + run_if_exists cuda_half_test 2025-12-04T09:34:12.5906302Z + local test_name=cuda_half_test 2025-12-04T09:34:12.5906562Z + [[ -x build/bin/cuda_half_test ]] 2025-12-04T09:34:12.5906912Z + python test/run_test.py --cpp --verbose -i cpp/cuda_half_test 2025-12-04T09:34:17.6871133Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:34:17.6970853Z Found test times from artifacts 2025-12-04T09:34:17.7369886Z Found test times from artifacts 2025-12-04T09:34:17.7380747Z Running all tests 2025-12-04T09:34:17.7384371Z Running parallel tests on 3 processes 2025-12-04T09:34:17.7384897Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:34:17.7385353Z Serial tests (0): 2025-12-04T09:34:17.7385705Z Parallel tests (1): 2025-12-04T09:34:17.7386072Z cpp/cuda_half_test 1/1 2025-12-04T09:34:17.7386447Z Name: excluded (est. time: 0.0min) 2025-12-04T09:34:17.7387113Z Serial tests (0): 2025-12-04T09:34:17.7387409Z Parallel tests (0): 2025-12-04T09:34:17.7387894Z Running cpp/cuda_half_test 1/1 ... [2025-12-04 09:34:17.738393][2609.747077904] 2025-12-04T09:34:17.7388508Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:17.7389069Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:34:17.7390078Z Finished cpp/cuda_half_test 1/1 ... [2025-12-04 09:34:17.738628][2609.747313936], took 0.00min 2025-12-04T09:34:18.2910190Z Uploading artifacts took 0.52 seconds 2025-12-04T09:34:21.5971188Z Running cpp/cuda_half_test 1/1 ... [2025-12-04 09:34:21.596468][2613.605150283] 2025-12-04T09:34:21.5972343Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:21.5972958Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:34:21.5973980Z Finished cpp/cuda_half_test 1/1 ... [2025-12-04 09:34:21.596658][2613.605344605], took 0.00min 2025-12-04T09:34:22.4882123Z Running test batch 'tests to run' cost 4.75 seconds 2025-12-04T09:34:23.2175534Z + run_if_exists cuda_vectorized_test 2025-12-04T09:34:23.2175887Z + local test_name=cuda_vectorized_test 2025-12-04T09:34:23.2176182Z + [[ -x build/bin/cuda_vectorized_test ]] 2025-12-04T09:34:23.2176573Z + python test/run_test.py --cpp --verbose -i cpp/cuda_vectorized_test 2025-12-04T09:34:28.3117431Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:34:28.3219784Z Found test times from artifacts 2025-12-04T09:34:28.3617980Z Found test times from artifacts 2025-12-04T09:34:28.3630763Z Running all tests 2025-12-04T09:34:28.3633418Z Running parallel tests on 3 processes 2025-12-04T09:34:28.3633758Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:34:28.3634109Z Serial tests (0): 2025-12-04T09:34:28.3634320Z Parallel tests (1): 2025-12-04T09:34:28.3634556Z cpp/cuda_vectorized_test 1/1 2025-12-04T09:34:28.3634824Z Name: excluded (est. time: 0.0min) 2025-12-04T09:34:28.3635080Z Serial tests (0): 2025-12-04T09:34:28.3635293Z Parallel tests (0): 2025-12-04T09:34:28.3635686Z Running cpp/cuda_vectorized_test 1/1 ... [2025-12-04 09:34:28.363318][2620.372003848] 2025-12-04T09:34:28.3636108Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:28.3637570Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:34:28.3638108Z Finished cpp/cuda_vectorized_test 1/1 ... [2025-12-04 09:34:28.363488][2620.37217514], took 0.00min 2025-12-04T09:34:28.8854912Z Uploading artifacts took 0.49 seconds 2025-12-04T09:34:32.1995685Z Running cpp/cuda_vectorized_test 1/1 ... [2025-12-04 09:34:32.198933][2624.207614365] 2025-12-04T09:34:32.1996183Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:32.1996553Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:34:32.1997090Z Finished cpp/cuda_vectorized_test 1/1 ... [2025-12-04 09:34:32.199123][2624.207810347], took 0.00min 2025-12-04T09:34:33.0976488Z Running test batch 'tests to run' cost 4.73 seconds 2025-12-04T09:34:33.8197083Z + run_if_exists cuda_distributions_test 2025-12-04T09:34:33.8197439Z + local test_name=cuda_distributions_test 2025-12-04T09:34:33.8197769Z + [[ -x build/bin/cuda_distributions_test ]] 2025-12-04T09:34:33.8198177Z + python test/run_test.py --cpp --verbose -i cpp/cuda_distributions_test 2025-12-04T09:34:38.9110845Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:34:38.9209901Z Found test times from artifacts 2025-12-04T09:34:38.9609098Z Found test times from artifacts 2025-12-04T09:34:38.9619734Z Running all tests 2025-12-04T09:34:38.9623362Z Running parallel tests on 3 processes 2025-12-04T09:34:38.9623665Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:34:38.9623990Z Serial tests (0): 2025-12-04T09:34:38.9624203Z Parallel tests (1): 2025-12-04T09:34:38.9624432Z cpp/cuda_distributions_test 1/1 2025-12-04T09:34:38.9624817Z Name: excluded (est. time: 0.0min) 2025-12-04T09:34:38.9625437Z Serial tests (0): 2025-12-04T09:34:38.9625636Z Parallel tests (0): 2025-12-04T09:34:38.9626037Z Running cpp/cuda_distributions_test 1/1 ... [2025-12-04 09:34:38.962311][2630.970996981] 2025-12-04T09:34:38.9626465Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:38.9628919Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:34:38.9629469Z Finished cpp/cuda_distributions_test 1/1 ... [2025-12-04 09:34:38.962493][2630.971179483], took 0.00min 2025-12-04T09:34:39.4786323Z Uploading artifacts took 0.49 seconds 2025-12-04T09:34:42.8238368Z Running cpp/cuda_distributions_test 1/1 ... [2025-12-04 09:34:42.823164][2634.831844828] 2025-12-04T09:34:42.8239750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:42.8240461Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:34:42.8241078Z Finished cpp/cuda_distributions_test 1/1 ... [2025-12-04 09:34:42.823349][2634.83203583], took 0.00min 2025-12-04T09:34:43.6470193Z Running test batch 'tests to run' cost 4.68 seconds 2025-12-04T09:34:44.3751510Z + run_if_exists cuda_optional_test 2025-12-04T09:34:44.3751829Z + local test_name=cuda_optional_test 2025-12-04T09:34:44.3752120Z + [[ -x build/bin/cuda_optional_test ]] 2025-12-04T09:34:44.3752502Z + python test/run_test.py --cpp --verbose -i cpp/cuda_optional_test 2025-12-04T09:34:49.4420787Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:34:49.4521456Z Found test times from artifacts 2025-12-04T09:34:49.4924266Z Found test times from artifacts 2025-12-04T09:34:49.4935997Z Running all tests 2025-12-04T09:34:49.4939855Z Running parallel tests on 3 processes 2025-12-04T09:34:49.4940162Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:34:49.4940506Z Serial tests (0): 2025-12-04T09:34:49.4940801Z Parallel tests (1): 2025-12-04T09:34:49.4941112Z cpp/cuda_optional_test 1/1 2025-12-04T09:34:49.4941374Z Name: excluded (est. time: 0.0min) 2025-12-04T09:34:49.4941625Z Serial tests (0): 2025-12-04T09:34:49.4941908Z Parallel tests (0): 2025-12-04T09:34:49.4942421Z Running cpp/cuda_optional_test 1/1 ... [2025-12-04 09:34:49.493950][2641.502634859] 2025-12-04T09:34:49.4942871Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:49.4943694Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:34:49.4944210Z Finished cpp/cuda_optional_test 1/1 ... [2025-12-04 09:34:49.494135][2641.502821241], took 0.00min 2025-12-04T09:34:50.0029442Z Uploading artifacts took 0.48 seconds 2025-12-04T09:34:53.2641498Z Running cpp/cuda_optional_test 1/1 ... [2025-12-04 09:34:53.263573][2645.272254697] 2025-12-04T09:34:53.2642120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:53.2642472Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:34:53.2642999Z Finished cpp/cuda_optional_test 1/1 ... [2025-12-04 09:34:53.263759][2645.272445589], took 0.00min 2025-12-04T09:34:54.1578325Z Running test batch 'tests to run' cost 4.66 seconds 2025-12-04T09:34:54.8854999Z + run_if_exists cuda_tensor_interop_test 2025-12-04T09:34:54.8855358Z + local test_name=cuda_tensor_interop_test 2025-12-04T09:34:54.8855680Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2025-12-04T09:34:54.8856030Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2025-12-04T09:34:54.8856419Z Warning: cuda_tensor_interop_test does not exist. 2025-12-04T09:34:54.8856729Z + run_if_exists cuda_complex_test 2025-12-04T09:34:54.8856991Z + local test_name=cuda_complex_test 2025-12-04T09:34:54.8857256Z + [[ -x build/bin/cuda_complex_test ]] 2025-12-04T09:34:54.8857623Z + python test/run_test.py --cpp --verbose -i cpp/cuda_complex_test 2025-12-04T09:34:59.9792845Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:34:59.9893614Z Found test times from artifacts 2025-12-04T09:35:00.0290380Z Found test times from artifacts 2025-12-04T09:35:00.0302496Z Running all tests 2025-12-04T09:35:00.0306248Z Running parallel tests on 3 processes 2025-12-04T09:35:00.0306814Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:35:00.0307328Z Serial tests (0): 2025-12-04T09:35:00.0307686Z Parallel tests (1): 2025-12-04T09:35:00.0308077Z cpp/cuda_complex_test 1/1 2025-12-04T09:35:00.0308838Z Name: excluded (est. time: 0.0min) 2025-12-04T09:35:00.0309256Z Serial tests (0): 2025-12-04T09:35:00.0309560Z Parallel tests (0): 2025-12-04T09:35:00.0310065Z Running cpp/cuda_complex_test 1/1 ... [2025-12-04 09:35:00.030617][2652.039300845] 2025-12-04T09:35:00.0310693Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:00.0311476Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:35:00.0312280Z Finished cpp/cuda_complex_test 1/1 ... [2025-12-04 09:35:00.030853][2652.039539288], took 0.00min 2025-12-04T09:35:00.5476146Z Uploading artifacts took 0.49 seconds 2025-12-04T09:35:03.8721552Z Running cpp/cuda_complex_test 1/1 ... [2025-12-04 09:35:03.871577][2655.880258975] 2025-12-04T09:35:03.8722077Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:03.8722671Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:35:03.8723259Z Finished cpp/cuda_complex_test 1/1 ... [2025-12-04 09:35:03.871792][2655.880477987], took 0.00min 2025-12-04T09:35:04.7651359Z Running test batch 'tests to run' cost 4.73 seconds 2025-12-04T09:35:05.4964213Z + run_if_exists cuda_complex_math_test 2025-12-04T09:35:05.4964556Z + local test_name=cuda_complex_math_test 2025-12-04T09:35:05.4964870Z + [[ -x build/bin/cuda_complex_math_test ]] 2025-12-04T09:35:05.4965259Z + python test/run_test.py --cpp --verbose -i cpp/cuda_complex_math_test 2025-12-04T09:35:10.6633115Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:35:10.6737110Z Found test times from artifacts 2025-12-04T09:35:10.7140672Z Found test times from artifacts 2025-12-04T09:35:10.7151763Z Running all tests 2025-12-04T09:35:10.7156472Z Running parallel tests on 3 processes 2025-12-04T09:35:10.7156865Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:35:10.7157259Z Serial tests (0): 2025-12-04T09:35:10.7157492Z Parallel tests (1): 2025-12-04T09:35:10.7157775Z cpp/cuda_complex_math_test 1/1 2025-12-04T09:35:10.7158176Z Name: excluded (est. time: 0.0min) 2025-12-04T09:35:10.7158550Z Serial tests (0): 2025-12-04T09:35:10.7158829Z Parallel tests (0): 2025-12-04T09:35:10.7159581Z Running cpp/cuda_complex_math_test 1/1 ... [2025-12-04 09:35:10.715626][2662.724309707] 2025-12-04T09:35:10.7160127Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:10.7160482Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:35:10.7160999Z Finished cpp/cuda_complex_math_test 1/1 ... [2025-12-04 09:35:10.715829][2662.724514609], took 0.00min 2025-12-04T09:35:11.2731433Z Uploading artifacts took 0.53 seconds 2025-12-04T09:35:14.5631334Z Running cpp/cuda_complex_math_test 1/1 ... [2025-12-04 09:35:14.562571][2666.571251985] 2025-12-04T09:35:14.5631876Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:14.5632294Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:35:14.5632862Z Finished cpp/cuda_complex_math_test 1/1 ... [2025-12-04 09:35:14.562758][2666.571444907], took 0.00min 2025-12-04T09:35:15.3925389Z Running test batch 'tests to run' cost 4.68 seconds 2025-12-04T09:35:16.1172804Z + run_if_exists cuda_cub_test 2025-12-04T09:35:16.1173118Z + local test_name=cuda_cub_test 2025-12-04T09:35:16.1173386Z + [[ -x build/bin/cuda_cub_test ]] 2025-12-04T09:35:16.1173743Z + python test/run_test.py --cpp --verbose -i cpp/cuda_cub_test 2025-12-04T09:35:21.2454769Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:35:21.2559352Z Found test times from artifacts 2025-12-04T09:35:21.2960058Z Found test times from artifacts 2025-12-04T09:35:21.2972335Z Running all tests 2025-12-04T09:35:21.2975961Z Running parallel tests on 3 processes 2025-12-04T09:35:21.2976346Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:35:21.2976749Z Serial tests (0): 2025-12-04T09:35:21.2976964Z Parallel tests (1): 2025-12-04T09:35:21.2977181Z cpp/cuda_cub_test 1/1 2025-12-04T09:35:21.2977660Z Name: excluded (est. time: 0.0min) 2025-12-04T09:35:21.2978042Z Serial tests (0): 2025-12-04T09:35:21.2978271Z Parallel tests (0): 2025-12-04T09:35:21.2978610Z Running cpp/cuda_cub_test 1/1 ... [2025-12-04 09:35:21.297568][2673.306253478] 2025-12-04T09:35:21.2979000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:21.2979809Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:35:21.2980297Z Finished cpp/cuda_cub_test 1/1 ... [2025-12-04 09:35:21.297778][2673.30646348], took 0.00min 2025-12-04T09:35:21.9273846Z Uploading artifacts took 0.60 seconds 2025-12-04T09:35:25.2387243Z Running cpp/cuda_cub_test 1/1 ... [2025-12-04 09:35:25.238160][2677.246841847] 2025-12-04T09:35:25.2387793Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:25.2388141Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:35:25.2388637Z Finished cpp/cuda_cub_test 1/1 ... [2025-12-04 09:35:25.238351][2677.247037459], took 0.00min 2025-12-04T09:35:26.1314011Z Running test batch 'tests to run' cost 4.83 seconds 2025-12-04T09:35:26.8534257Z + run_if_exists cuda_atomic_ops_test 2025-12-04T09:35:26.8534611Z + local test_name=cuda_atomic_ops_test 2025-12-04T09:35:26.8534916Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2025-12-04T09:35:26.8535308Z + python test/run_test.py --cpp --verbose -i cpp/cuda_atomic_ops_test 2025-12-04T09:35:32.0260955Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:35:32.0366639Z Found test times from artifacts 2025-12-04T09:35:32.0778938Z Found test times from artifacts 2025-12-04T09:35:32.0788856Z Running all tests 2025-12-04T09:35:32.0792813Z Running parallel tests on 3 processes 2025-12-04T09:35:32.0793260Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:35:32.0793621Z Serial tests (0): 2025-12-04T09:35:32.0793919Z Parallel tests (1): 2025-12-04T09:35:32.0794278Z cpp/cuda_atomic_ops_test 1/1 2025-12-04T09:35:32.0794658Z Name: excluded (est. time: 0.0min) 2025-12-04T09:35:32.0795049Z Serial tests (0): 2025-12-04T09:35:32.0795344Z Parallel tests (0): 2025-12-04T09:35:32.0795844Z Running cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 09:35:32.079241][2684.087926613] 2025-12-04T09:35:32.0796344Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:32.0797208Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:35:32.0797745Z Finished cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 09:35:32.079451][2684.088136366], took 0.00min 2025-12-04T09:35:32.6514868Z Uploading artifacts took 0.54 seconds 2025-12-04T09:35:35.9725917Z Running cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 09:35:35.972040][2687.980721208] 2025-12-04T09:35:35.9726411Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:35.9726813Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:35:35.9727621Z Finished cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 09:35:35.972225][2687.98091233], took 0.00min 2025-12-04T09:35:36.8355680Z Running test batch 'tests to run' cost 4.76 seconds 2025-12-04T09:35:37.5740699Z + run_if_exists cuda_allocator_test 2025-12-04T09:35:37.5741113Z + local test_name=cuda_allocator_test 2025-12-04T09:35:37.5741419Z + [[ -x build/bin/cuda_allocator_test ]] 2025-12-04T09:35:37.5741885Z + python test/run_test.py --cpp --verbose -i cpp/cuda_allocator_test 2025-12-04T09:35:42.6695441Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:35:42.6798345Z Found test times from artifacts 2025-12-04T09:35:42.7196696Z Found test times from artifacts 2025-12-04T09:35:42.7208704Z Running all tests 2025-12-04T09:35:42.7212402Z Running parallel tests on 3 processes 2025-12-04T09:35:42.7213063Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:35:42.7214812Z Serial tests (0): 2025-12-04T09:35:42.7215149Z Parallel tests (1): 2025-12-04T09:35:42.7215489Z cpp/cuda_allocator_test 1/1 2025-12-04T09:35:42.7215910Z Name: excluded (est. time: 0.0min) 2025-12-04T09:35:42.7216682Z Serial tests (0): 2025-12-04T09:35:42.7217012Z Parallel tests (0): 2025-12-04T09:35:42.7217638Z Running cpp/cuda_allocator_test 1/1 ... [2025-12-04 09:35:42.721206][2694.729890943] 2025-12-04T09:35:42.7227741Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:42.7228494Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:35:42.7229305Z Finished cpp/cuda_allocator_test 1/1 ... [2025-12-04 09:35:42.721488][2694.730173336], took 0.00min 2025-12-04T09:35:43.2601990Z Uploading artifacts took 0.51 seconds 2025-12-04T09:35:46.5722482Z Running cpp/cuda_allocator_test 1/1 ... [2025-12-04 09:35:46.571676][2698.58035761] 2025-12-04T09:35:46.5722964Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:46.5723327Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:35:46.5723853Z Finished cpp/cuda_allocator_test 1/1 ... [2025-12-04 09:35:46.571869][2698.580555752], took 0.00min 2025-12-04T09:35:47.4036243Z Running test batch 'tests to run' cost 4.68 seconds 2025-12-04T09:35:48.1279525Z + '[' ON == ON ']' 2025-12-04T09:35:48.1280399Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA' 2025-12-04T09:35:48.1405501Z ==13711== Memcheck, a memory error detector 2025-12-04T09:35:48.1406138Z ==13711== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al. 2025-12-04T09:35:48.1406814Z ==13711== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info 2025-12-04T09:35:48.1407432Z ==13711== Command: build/bin/basic --gtest_filter=-*CUDA 2025-12-04T09:35:48.1407885Z ==13711== 2025-12-04T09:35:48.4529883Z ==13711== Warning: set address range perms: large range [0x4a9d000, 0x19b6a000) (defined) 2025-12-04T09:35:48.4530854Z ==13711== Warning: set address range perms: large range [0x5ab7000, 0x16c2e000) (defined) 2025-12-04T09:35:53.0426815Z ==13711== Warning: set address range perms: large range [0x28aa0000, 0x3ff55000) (noaccess) 2025-12-04T09:35:53.0427458Z ==13711== Warning: set address range perms: large range [0x28c00000, 0x3feb5000) (defined) 2025-12-04T09:35:53.1033236Z ==13711== Warning: set address range perms: large range [0x3feb5000, 0x5127a000) (noaccess) 2025-12-04T09:35:53.1033835Z ==13711== Warning: set address range perms: large range [0x40000000, 0x511c5000) (defined) 2025-12-04T09:35:53.1441847Z ==13711== Warning: set address range perms: large range [0x40fbd000, 0x511c5000) (defined) 2025-12-04T09:35:53.1593087Z ==13711== Warning: set address range perms: large range [0x59c92000, 0x73439000) (defined) 2025-12-04T09:35:53.1595447Z ==13711== Warning: set address range perms: large range [0x5ec47000, 0x73083000) (defined) 2025-12-04T09:35:54.0861674Z ==13711== Warning: set address range perms: large range [0x73439000, 0x89eab000) (defined) 2025-12-04T09:35:54.0862291Z ==13711== Warning: set address range perms: large range [0x735ef000, 0x89e54000) (defined) 2025-12-04T09:35:54.2373290Z ==13711== Warning: set address range perms: large range [0x99d0b000, 0xcc1fd000) (noaccess) 2025-12-04T09:35:54.2373896Z ==13711== Warning: set address range perms: large range [0x99e00000, 0xcc0f2000) (defined) 2025-12-04T09:36:48.5745637Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2025-12-04T09:36:48.6034002Z Note: Google Test filter = -*CUDA 2025-12-04T09:36:48.6105308Z [==========] Running 6 tests from 1 test suite. 2025-12-04T09:36:48.6125663Z [----------] Global test environment set-up. 2025-12-04T09:36:48.6185323Z [----------] 6 tests from BasicTest 2025-12-04T09:36:48.6210117Z [ RUN ] BasicTest.BasicTestCPU 2025-12-04T09:36:48.8970263Z ==13711== Warning: noted but unhandled ioctl 0x30000001 with no size/direction hints. 2025-12-04T09:36:48.8970782Z ==13711== This could cause spurious value errors to appear. 2025-12-04T09:36:48.8971288Z ==13711== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T09:36:48.8975546Z ==13711== Warning: noted but unhandled ioctl 0x4b with no size/direction hints. 2025-12-04T09:36:48.8976028Z ==13711== This could cause spurious value errors to appear. 2025-12-04T09:36:48.8976515Z ==13711== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T09:36:48.8982945Z ==13711== Warning: noted but unhandled ioctl 0x27 with no size/direction hints. 2025-12-04T09:36:48.8983545Z ==13711== This could cause spurious value errors to appear. 2025-12-04T09:36:48.8984022Z ==13711== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T09:36:49.0737141Z ==13711== Warning: noted but unhandled ioctl 0x25 with no size/direction hints. 2025-12-04T09:36:49.0737642Z ==13711== This could cause spurious value errors to appear. 2025-12-04T09:36:49.0738120Z ==13711== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T09:36:49.1639863Z ==13711== Warning: noted but unhandled ioctl 0x46 with no size/direction hints. 2025-12-04T09:36:49.1640835Z ==13711== This could cause spurious value errors to appear. 2025-12-04T09:36:49.1641807Z ==13711== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T09:36:49.1648803Z ==13711== Warning: noted but unhandled ioctl 0x17 with no size/direction hints. 2025-12-04T09:36:49.1649293Z ==13711== This could cause spurious value errors to appear. 2025-12-04T09:36:49.1649780Z ==13711== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T09:36:49.1761355Z ==13711== Warning: set address range perms: large range [0x200000000, 0x300200000) (noaccess) 2025-12-04T09:36:50.9726969Z 1100 ms 2025-12-04T09:36:51.0598822Z 45 ms 2025-12-04T09:36:51.1428044Z 58 ms 2025-12-04T09:36:53.1852778Z [ OK ] BasicTest.BasicTestCPU (4562 ms) 2025-12-04T09:36:53.1859394Z [ RUN ] BasicTest.BasicTestHalfCPU 2025-12-04T09:36:53.6100356Z 323 ms 2025-12-04T09:36:53.9220934Z 36 ms 2025-12-04T09:36:54.0478715Z 56 ms 2025-12-04T09:36:54.1028486Z [ OK ] BasicTest.BasicTestHalfCPU (856 ms) 2025-12-04T09:36:54.1318820Z [ RUN ] BasicTest.FactoryMethodsTest 2025-12-04T09:36:54.2486859Z ==13711== Warning: noted but unhandled ioctl 0x19 with no size/direction hints. 2025-12-04T09:36:54.2487364Z ==13711== This could cause spurious value errors to appear. 2025-12-04T09:36:54.2487871Z ==13711== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T09:36:54.2803509Z ==13711== Warning: noted but unhandled ioctl 0x49 with no size/direction hints. 2025-12-04T09:36:54.2803984Z ==13711== This could cause spurious value errors to appear. 2025-12-04T09:36:54.2804473Z ==13711== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T09:36:54.2815011Z ==13711== Warning: noted but unhandled ioctl 0x21 with no size/direction hints. 2025-12-04T09:36:54.2815486Z ==13711== This could cause spurious value errors to appear. 2025-12-04T09:36:54.2815985Z ==13711== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T09:36:54.4177856Z ==13711== Warning: noted but unhandled ioctl 0x1b with no size/direction hints. 2025-12-04T09:36:54.4178357Z ==13711== This could cause spurious value errors to appear. 2025-12-04T09:36:54.4178859Z ==13711== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T09:36:55.6038732Z [ OK ] BasicTest.FactoryMethodsTest (1462 ms) 2025-12-04T09:36:55.6039116Z [ RUN ] BasicTest.BasicStdTestCPU 2025-12-04T09:36:55.7081458Z Simple example: called once 2025-12-04T09:36:55.7451836Z throw: call_once will retry 2025-12-04T09:36:55.7467076Z Didn't throw, call_once will not attempt again 2025-12-04T09:36:55.7496754Z [ OK ] BasicTest.BasicStdTestCPU (145 ms) 2025-12-04T09:36:55.7497537Z [ RUN ] BasicTest.TestForBlobResizeCPU 2025-12-04T09:36:55.7683885Z [ OK ] BasicTest.TestForBlobResizeCPU (18 ms) 2025-12-04T09:36:55.7684578Z [ RUN ] BasicTest.TestForBlobStridesResizeCPU 2025-12-04T09:36:55.7725148Z [ OK ] BasicTest.TestForBlobStridesResizeCPU (4 ms) 2025-12-04T09:36:55.7743890Z [----------] 6 tests from BasicTest (7152 ms total) 2025-12-04T09:36:55.7744150Z 2025-12-04T09:36:55.7756547Z [----------] Global test environment tear-down 2025-12-04T09:36:55.7779736Z [==========] 6 tests from 1 test suite ran. (7178 ms total) 2025-12-04T09:36:55.7792098Z [ PASSED ] 6 tests. 2025-12-04T09:36:58.6043724Z ==13711== 2025-12-04T09:36:58.6057463Z ==13711== HEAP SUMMARY: 2025-12-04T09:36:58.6057938Z ==13711== in use at exit: 22,784,116 bytes in 24,979 blocks 2025-12-04T09:36:58.6058496Z ==13711== total heap usage: 1,060,097 allocs, 1,035,118 frees, 284,928,395 bytes allocated 2025-12-04T09:36:58.6058887Z ==13711== 2025-12-04T09:37:00.3761159Z ==13711== LEAK SUMMARY: 2025-12-04T09:37:00.3761509Z ==13711== definitely lost: 288 bytes in 3 blocks 2025-12-04T09:37:00.3761906Z ==13711== indirectly lost: 192 bytes in 2 blocks 2025-12-04T09:37:00.3762336Z ==13711== possibly lost: 97,048 bytes in 185 blocks 2025-12-04T09:37:00.3762753Z ==13711== still reachable: 22,686,588 bytes in 24,789 blocks 2025-12-04T09:37:00.3763113Z ==13711== suppressed: 0 bytes in 0 blocks 2025-12-04T09:37:00.3763513Z ==13711== Rerun with --leak-check=full to see details of leaked memory 2025-12-04T09:37:00.3763866Z ==13711== 2025-12-04T09:37:00.3764143Z ==13711== For lists of detected and suppressed errors, rerun with: -s 2025-12-04T09:37:00.3764780Z ==13711== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 4 from 4) 2025-12-04T09:37:00.6382029Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T09:37:00.6387912Z + [[ -n '' ]] 2025-12-04T09:37:00.6388353Z + assert_git_not_dirty 2025-12-04T09:37:00.6388681Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 != *rocm* ]] 2025-12-04T09:37:00.6389079Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 != *xla* ]] 2025-12-04T09:37:00.6394871Z ++ git status --porcelain 2025-12-04T09:37:00.6395243Z ++ grep -v '?? third_party' 2025-12-04T09:37:01.0483792Z ++ true 2025-12-04T09:37:01.0484736Z + git_status= 2025-12-04T09:37:01.0485141Z + [[ -n '' ]] 2025-12-04T09:37:01.0485354Z + test_libtorch 1 2025-12-04T09:37:01.0485639Z + local SHARD=1 2025-12-04T09:37:01.0485853Z + [[ slow != \s\l\o\w ]] 2025-12-04T09:37:01.0486150Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *xpu* ]] 2025-12-04T09:37:01.0486982Z + sccache_epilogue 2025-12-04T09:37:01.0487247Z + echo '::group::Sccache Compilation Log' 2025-12-04T09:37:01.0487815Z ##[group]Sccache Compilation Log 2025-12-04T09:37:01.0488134Z + echo '=================== sccache compilation log ===================' 2025-12-04T09:37:01.0488504Z =================== sccache compilation log =================== 2025-12-04T09:37:01.0489052Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T09:37:01.0638651Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T09:37:01.0639274Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T09:37:01.0639694Z + sccache --show-stats 2025-12-04T09:37:01.0678801Z Compile requests 222 2025-12-04T09:37:01.0679104Z Compile requests executed 118 2025-12-04T09:37:01.0679412Z Cache hits 74 2025-12-04T09:37:01.0679679Z Cache hits (C/C++) 74 2025-12-04T09:37:01.0679949Z Cache misses 44 2025-12-04T09:37:01.0680222Z Cache misses (C/C++) 44 2025-12-04T09:37:01.0680495Z Cache hits rate 62.71 % 2025-12-04T09:37:01.0681014Z Cache hits rate (C/C++) 62.71 % 2025-12-04T09:37:01.0681303Z Cache timeouts 0 2025-12-04T09:37:01.0681571Z Cache read errors 0 2025-12-04T09:37:01.0681846Z Forced recaches 0 2025-12-04T09:37:01.0682121Z Cache write errors 0 2025-12-04T09:37:01.0682545Z Cache errors 0 2025-12-04T09:37:01.0682843Z Compilations 44 2025-12-04T09:37:01.0683129Z Compilation failures 0 2025-12-04T09:37:01.0683421Z Non-cacheable compilations 0 2025-12-04T09:37:01.0683704Z Non-cacheable calls 0 2025-12-04T09:37:01.0684063Z Non-compilation calls 104 2025-12-04T09:37:01.0684366Z Unsupported compiler calls 0 2025-12-04T09:37:01.0684652Z Average cache write 0.041 s 2025-12-04T09:37:01.0684940Z Average compiler 12.033 s 2025-12-04T09:37:01.0685235Z Average cache read hit 0.087 s 2025-12-04T09:37:01.0685529Z Failed distributed compilations 0 2025-12-04T09:37:01.0685928Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:37:01.0686333Z Version (client) 0.10.0 2025-12-04T09:37:01.0686612Z + sccache --stop-server 2025-12-04T09:37:01.0708015Z Stopping sccache server... 2025-12-04T09:37:01.0712044Z Compile requests 222 2025-12-04T09:37:01.0712337Z Compile requests executed 118 2025-12-04T09:37:01.0712631Z Cache hits 74 2025-12-04T09:37:01.0712890Z Cache hits (C/C++) 74 2025-12-04T09:37:01.0713376Z Cache misses 44 2025-12-04T09:37:01.0713733Z Cache misses (C/C++) 44 2025-12-04T09:37:01.0714000Z Cache hits rate 62.71 % 2025-12-04T09:37:01.0714369Z Cache hits rate (C/C++) 62.71 % 2025-12-04T09:37:01.0714642Z Cache timeouts 0 2025-12-04T09:37:01.0714910Z Cache read errors 0 2025-12-04T09:37:01.0715179Z Forced recaches 0 2025-12-04T09:37:01.0715444Z Cache write errors 0 2025-12-04T09:37:01.0715712Z Cache errors 0 2025-12-04T09:37:01.0715973Z Compilations 44 2025-12-04T09:37:01.0716251Z Compilation failures 0 2025-12-04T09:37:01.0716535Z Non-cacheable compilations 0 2025-12-04T09:37:01.0716810Z Non-cacheable calls 0 2025-12-04T09:37:01.0717087Z Non-compilation calls 104 2025-12-04T09:37:01.0717369Z Unsupported compiler calls 0 2025-12-04T09:37:01.0717646Z Average cache write 0.041 s 2025-12-04T09:37:01.0717928Z Average compiler 12.033 s 2025-12-04T09:37:01.0718208Z Average cache read hit 0.087 s 2025-12-04T09:37:01.0718492Z Failed distributed compilations 0 2025-12-04T09:37:01.0718898Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:37:01.0719298Z Version (client) 0.10.0 2025-12-04T09:37:01.0719580Z + echo ::endgroup:: 2025-12-04T09:37:01.0719975Z ##[endgroup] 2025-12-04T09:37:01.0720159Z + cleanup_workspace 2025-12-04T09:37:01.0720595Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T09:37:01.0721275Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T09:37:01.0721816Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T09:37:01.0722219Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T09:37:01.0722689Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T09:37:01.0723204Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T09:37:01.0723608Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T09:37:02.1499583Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T09:37:02.1500019Z with: 2025-12-04T09:37:02.1500250Z benchmark-results-dir: test/test-reports 2025-12-04T09:37:02.1500545Z dry-run: false 2025-12-04T09:37:02.1500755Z schema-version: v3 2025-12-04T09:37:02.1501163Z github-token: *** 2025-12-04T09:37:02.1501373Z env: 2025-12-04T09:37:02.1501561Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:37:02.1501804Z HAS_NVIDIA_GPU: true 2025-12-04T09:37:02.1502093Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:37:02.1502587Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:37:02.1503139Z ##[endgroup] 2025-12-04T09:37:02.1531589Z ##[group]Run set -eux 2025-12-04T09:37:02.1531836Z set -eux 2025-12-04T09:37:02.1532029Z  2025-12-04T09:37:02.1532217Z if [[ -n "" ]]; then 2025-12-04T09:37:02.1532446Z  source "" 2025-12-04T09:37:02.1532690Z fi 2025-12-04T09:37:02.1532994Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:37:02.1533364Z  2025-12-04T09:37:02.1533553Z DEVICE_NAME="" 2025-12-04T09:37:02.1533786Z DEVICE_TYPE="" 2025-12-04T09:37:02.1533993Z  2025-12-04T09:37:02.1534197Z if command -v nvidia-smi; then 2025-12-04T09:37:02.1534593Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T09:37:02.1535093Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T09:37:02.1535563Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T09:37:02.1535940Z  python3 -mpip install torch==2.7.1 2025-12-04T09:37:02.1536241Z elif command -v rocminfo; then 2025-12-04T09:37:02.1536618Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T09:37:02.1537111Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T09:37:02.1537594Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T09:37:02.1538015Z  # GPU device name coming from rocminfo instead 2025-12-04T09:37:02.1538332Z  DEVICE_NAME=rocm 2025-12-04T09:37:02.1538748Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T09:37:02.1539179Z fi 2025-12-04T09:37:02.1539353Z  2025-12-04T09:37:02.1539588Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T09:37:02.1539946Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T09:37:02.1553962Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:37:02.1554409Z env: 2025-12-04T09:37:02.1554609Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:37:02.1554844Z HAS_NVIDIA_GPU: true 2025-12-04T09:37:02.1555136Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:37:02.1555633Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:37:02.1556071Z ##[endgroup] 2025-12-04T09:37:02.1596890Z + [[ -n '' ]] 2025-12-04T09:37:02.1597738Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:37:02.3976224Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:37:03.6743100Z Collecting boto3==1.35.33 2025-12-04T09:37:03.6919326Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T09:37:04.0574091Z Collecting psutil==7.0.0 2025-12-04T09:37:04.0606837Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-12-04T09:37:04.0909226Z Collecting pynvml==12.0.0 2025-12-04T09:37:04.0937911Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T09:37:04.1015016Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-12-04T09:37:04.1460871Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T09:37:04.1490969Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T09:37:05.4936614Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T09:37:05.4972264Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T09:37:05.6906624Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T09:37:05.6936004Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T09:37:05.7026212Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-12-04T09:37:05.7036751Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-12-04T09:37:05.8447054Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-12-04T09:37:05.9821531Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T09:37:06.5539363Z Attempting uninstall: nvidia-ml-py 2025-12-04T09:37:06.5540475Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T09:37:06.5555345Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T09:37:06.5810455Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T09:37:06.6424600Z Attempting uninstall: psutil 2025-12-04T09:37:06.6425117Z Found existing installation: psutil 5.9.8 2025-12-04T09:37:06.6513597Z Uninstalling psutil-5.9.8: 2025-12-04T09:37:06.6521078Z Successfully uninstalled psutil-5.9.8 2025-12-04T09:37:06.8228378Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-12-04T09:37:06.9528723Z + DEVICE_NAME= 2025-12-04T09:37:06.9528965Z + DEVICE_TYPE= 2025-12-04T09:37:06.9529211Z + command -v nvidia-smi 2025-12-04T09:37:06.9529481Z + python3 -mpip install torch==2.7.1 2025-12-04T09:37:06.9529753Z /usr/bin/nvidia-smi 2025-12-04T09:37:07.1899238Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:37:07.4886639Z Collecting torch==2.7.1 2025-12-04T09:37:07.5068363Z Downloading torch-2.7.1-cp39-cp39-manylinux_2_28_x86_64.whl (821.1 MB) 2025-12-04T09:37:19.5340266Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-12-04T09:37:19.5401099Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-12-04T09:37:19.6104484Z Collecting filelock 2025-12-04T09:37:19.6134395Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-12-04T09:37:19.6483278Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-12-04T09:37:19.6544160Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-12-04T09:37:21.8622617Z Collecting nvidia-curand-cu12==10.3.7.77 2025-12-04T09:37:21.8685532Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-12-04T09:37:22.4097150Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-12-04T09:37:22.4128923Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-12-04T09:37:27.6063033Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from torch==2.7.1) (4.15.0) 2025-12-04T09:37:27.6390321Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-12-04T09:37:27.6447568Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-12-04T09:37:29.1824988Z Collecting nvidia-nccl-cu12==2.26.2 2025-12-04T09:37:29.1886936Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-12-04T09:37:31.3841936Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-12-04T09:37:31.3906188Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-12-04T09:37:33.8959674Z Collecting fsspec 2025-12-04T09:37:33.8991379Z Downloading fsspec-2025.10.0-py3-none-any.whl (200 kB) 2025-12-04T09:37:33.9532957Z Collecting triton==3.3.1 2025-12-04T09:37:33.9594740Z Downloading triton-3.3.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-12-04T09:37:35.4853071Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-12-04T09:37:35.4885982Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-12-04T09:37:35.5456383Z Collecting sympy>=1.13.3 2025-12-04T09:37:35.5487961Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-12-04T09:37:35.6486857Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-12-04T09:37:35.6552227Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-12-04T09:37:35.8758581Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-12-04T09:37:35.8819973Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-12-04T09:37:36.1339683Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-12-04T09:37:36.1401674Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-12-04T09:37:36.2347990Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-12-04T09:37:36.2381978Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-12-04T09:37:37.7067726Z Requirement already satisfied: jinja2 in /usr/lib/python3.9/site-packages (from torch==2.7.1) (2.11.3) 2025-12-04T09:37:37.7486304Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-12-04T09:37:37.7542392Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-12-04T09:37:45.7684387Z Collecting nvidia-nvtx-cu12==12.6.77 2025-12-04T09:37:45.7716449Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-12-04T09:37:45.8542667Z Collecting networkx 2025-12-04T09:37:45.8576128Z Downloading networkx-3.2.1-py3-none-any.whl (1.6 MB) 2025-12-04T09:37:45.9105482Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3.9/site-packages (from triton==3.3.1->torch==2.7.1) (59.6.0) 2025-12-04T09:37:45.9413875Z Collecting mpmath<1.4,>=1.1.0 2025-12-04T09:37:45.9470823Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-12-04T09:37:46.0391175Z Requirement already satisfied: MarkupSafe>=0.23 in /usr/lib64/python3.9/site-packages (from jinja2->torch==2.7.1) (1.1.1) 2025-12-04T09:37:46.3943606Z Installing collected packages: nvidia-nvjitlink-cu12, nvidia-cusparse-cu12, nvidia-cublas-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nccl-cu12, nvidia-cusparselt-cu12, nvidia-cusolver-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, networkx, fsspec, filelock, torch 2025-12-04T09:37:55.7510754Z WARNING: The scripts proton and proton-viewer are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T09:37:55.7513762Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T09:37:59.8310945Z WARNING: The script isympy is installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T09:37:59.8311668Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T09:38:31.0648367Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T09:38:31.0649210Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T09:38:31.6084054Z Successfully installed filelock-3.19.1 fsspec-2025.10.0 mpmath-1.3.0 networkx-3.2.1 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1 2025-12-04T09:38:32.2901286Z + echo DEVICE_NAME= 2025-12-04T09:38:32.2903786Z + echo DEVICE_TYPE= 2025-12-04T09:38:32.2958394Z ##[group]Run set -eux 2025-12-04T09:38:32.2958635Z set -eux 2025-12-04T09:38:32.2958842Z  2025-12-04T09:38:32.2959065Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T09:38:32.2959507Z  echo "Missing github-token input" 2025-12-04T09:38:32.2959794Z  exit 1 2025-12-04T09:38:32.2960002Z fi 2025-12-04T09:38:32.2969854Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:38:32.2970198Z env: 2025-12-04T09:38:32.2970399Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:32.2970661Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:32.2970956Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:32.2971454Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:32.2971898Z DEVICE_NAME: 2025-12-04T09:38:32.2972104Z DEVICE_TYPE: 2025-12-04T09:38:32.2972506Z GITHUB_TOKEN: *** 2025-12-04T09:38:32.2972721Z ##[endgroup] 2025-12-04T09:38:32.3007166Z + [[ -z *** ]] 2025-12-04T09:38:32.3070692Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T09:38:32.3071072Z with: 2025-12-04T09:38:32.3071398Z github-token: *** 2025-12-04T09:38:32.3071603Z env: 2025-12-04T09:38:32.3071787Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:32.3072016Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:32.3072297Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:32.3072798Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:32.3073238Z DEVICE_NAME: 2025-12-04T09:38:32.3073434Z DEVICE_TYPE: 2025-12-04T09:38:32.3073623Z ##[endgroup] 2025-12-04T09:38:32.3176412Z ##[group]Run set -eux 2025-12-04T09:38:32.3176644Z set -eux 2025-12-04T09:38:32.3176841Z  2025-12-04T09:38:32.3177265Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:38:32.3185995Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:38:32.3186322Z env: 2025-12-04T09:38:32.3186519Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:32.3186766Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:32.3187045Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:32.3187544Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:32.3187985Z DEVICE_NAME: 2025-12-04T09:38:32.3188196Z DEVICE_TYPE: 2025-12-04T09:38:32.3188532Z GITHUB_TOKEN: *** 2025-12-04T09:38:32.3188739Z ##[endgroup] 2025-12-04T09:38:32.3217703Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922773007 i-047fb8a5d8c8ef107 2025-12-04T09:38:33.1867010Z setting job-id=57116039068 2025-12-04T09:38:33.1868335Z setting job-name=linux-jammy-cuda12.8-py3.10-gcc11-sm86 / test (slow, 1, 3, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:38:33.1991096Z ##[group]Run set -eux 2025-12-04T09:38:33.1991346Z set -eux 2025-12-04T09:38:33.1991553Z  2025-12-04T09:38:33.1991753Z if [[ -n "" ]]; then 2025-12-04T09:38:33.1992004Z  source "" 2025-12-04T09:38:33.1992225Z fi 2025-12-04T09:38:33.1992417Z  2025-12-04T09:38:33.1992763Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T09:38:33.1993222Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T09:38:33.1993537Z  --repo "${REPO}" \ 2025-12-04T09:38:33.1994217Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T09:38:33.1994532Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T09:38:33.1994843Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T09:38:33.1995164Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T09:38:33.1995460Z  --job-id "${JOB_ID}" \ 2025-12-04T09:38:33.1995727Z  --job-name "${JOB_NAME}" 2025-12-04T09:38:33.2004861Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:38:33.2005190Z env: 2025-12-04T09:38:33.2005377Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:33.2005604Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:33.2005883Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:33.2006476Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:33.2006911Z DEVICE_NAME: 2025-12-04T09:38:33.2007104Z DEVICE_TYPE: 2025-12-04T09:38:33.2007303Z SCHEMA_VERSION: v3 2025-12-04T09:38:33.2007535Z REPO: pytorch/pytorch 2025-12-04T09:38:33.2007762Z HEAD_BRANCH: refs/heads/main 2025-12-04T09:38:33.2008052Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:38:33.2008362Z WORKFLOW_RUN_ID: 19922773007 2025-12-04T09:38:33.2008586Z RUN_ATTEMPT: 1 2025-12-04T09:38:33.2008783Z JOB_ID: 57116039068 2025-12-04T09:38:33.2009266Z JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11-sm86 / test (slow, 1, 3, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:38:33.2009789Z ##[endgroup] 2025-12-04T09:38:33.2041429Z + [[ -n '' ]] 2025-12-04T09:38:33.2043495Z + 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 19922773007 --run-attempt 1 --job-id 57116039068 --job-name 'linux-jammy-cuda12.8-py3.10-gcc11-sm86 / test (slow, 1, 3, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests)' 2025-12-04T09:38:33.2481617Z ##[group]Run set -eux 2025-12-04T09:38:33.2481861Z set -eux 2025-12-04T09:38:33.2482068Z  2025-12-04T09:38:33.2482267Z if [[ -n "" ]]; then 2025-12-04T09:38:33.2482513Z  source "" 2025-12-04T09:38:33.2482731Z fi 2025-12-04T09:38:33.2482918Z  2025-12-04T09:38:33.2483268Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T09:38:33.2492217Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:38:33.2492554Z env: 2025-12-04T09:38:33.2492750Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:33.2493005Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:33.2493290Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:33.2493780Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:33.2494223Z DEVICE_NAME: 2025-12-04T09:38:33.2494437Z DEVICE_TYPE: 2025-12-04T09:38:33.2494644Z ##[endgroup] 2025-12-04T09:38:33.2524645Z + [[ -n '' ]] 2025-12-04T09:38:33.2525356Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T09:38:34.1934656Z /home/ec2-user/.local/lib/python3.9/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-12-04T09:38:34.1936388Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:38:35.1630024Z ##[group]Run set -eux 2025-12-04T09:38:35.1630282Z set -eux 2025-12-04T09:38:35.1630494Z  2025-12-04T09:38:35.1630731Z # TODO (huydhn): Implement this part 2025-12-04T09:38:35.1631079Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:38:35.1640208Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:38:35.1640825Z env: 2025-12-04T09:38:35.1641023Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:35.1641270Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:35.1641561Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:35.1642059Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:35.1642491Z DEVICE_NAME: 2025-12-04T09:38:35.1642701Z DEVICE_TYPE: 2025-12-04T09:38:35.1642912Z ##[endgroup] 2025-12-04T09:38:35.1672907Z + echo 'dependencies={}' 2025-12-04T09:38:35.1700525Z ##[group]Run set -eux 2025-12-04T09:38:35.1700771Z set -eux 2025-12-04T09:38:35.1700964Z  2025-12-04T09:38:35.1701253Z if [[ -n "" ]]; then 2025-12-04T09:38:35.1701504Z  source "" 2025-12-04T09:38:35.1701704Z fi 2025-12-04T09:38:35.1701887Z  2025-12-04T09:38:35.1702118Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T09:38:35.1702517Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T09:38:35.1702953Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T09:38:35.1703298Z  exit 0 2025-12-04T09:38:35.1703495Z fi 2025-12-04T09:38:35.1703671Z  2025-12-04T09:38:35.1703877Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T09:38:35.1704300Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:38:35.1704794Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:38:35.1705166Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:38:35.1705477Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:38:35.1705787Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T09:38:35.1706070Z  --dry-run 2025-12-04T09:38:35.1706286Z else 2025-12-04T09:38:35.1706619Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:38:35.1707106Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:38:35.1707477Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:38:35.1719292Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:38:35.1719612Z  --dependencies "${DEPENDENCIES}" 2025-12-04T09:38:35.1719883Z fi 2025-12-04T09:38:35.1728205Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:38:35.1728521Z env: 2025-12-04T09:38:35.1728697Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:35.1728918Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:35.1729180Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:35.1729667Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:35.1730087Z DEVICE_NAME: 2025-12-04T09:38:35.1730269Z DEVICE_TYPE: 2025-12-04T09:38:35.1730482Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T09:38:35.1730743Z DRY_RUN: false 2025-12-04T09:38:35.1731998Z BENCHMARK_METADATA: {"timestamp": 1764841113, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3.10-gcc11-sm86 / test (slow, 1, 3, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922773007, "run_attempt": 1, "job_id": 57116039068} 2025-12-04T09:38:35.1733724Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 62, "extra_info": {"hostname": "ip-10-0-60-14.ec2.internal"}, "name": "cuda", "type": "NVIDIA A10G", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}] 2025-12-04T09:38:35.1734396Z DEPENDENCIES: {} 2025-12-04T09:38:35.1734591Z ##[endgroup] 2025-12-04T09:38:35.1763736Z + [[ -n '' ]] 2025-12-04T09:38:35.1763972Z + [[ ! -d test/test-reports ]] 2025-12-04T09:38:35.1764359Z + [[ false == \t\r\u\e ]] 2025-12-04T09:38:35.1768952Z + 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": 1764841113, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3.10-gcc11-sm86 / test (slow, 1, 3, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922773007, "run_attempt": 1, "job_id": 57116039068}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 62, "extra_info": {"hostname": "ip-10-0-60-14.ec2.internal"}, "name": "cuda", "type": "NVIDIA A10G", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}]' --dependencies '{}' 2025-12-04T09:38:35.3313589Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'lazy/test_ts_opinfo'}], 'excluded': []} from test/test-reports/td_exclusions-47627aba532b52357143.json is not a benchmark record, skipping 2025-12-04T09:38:35.3315129Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:38:35.3382519Z /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_fake_distributed'}, {'test_file': 'inductor/test_collective_autotuning'}, {'test_file': 'higher_order_ops/test_local_map'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'test_opaque_obj_v2'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'test_public_bindings'}, {'test_file': 'test_ops'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'test_torchfuzz_repros'}, {'test_file': 'inductor/test_max_autotune'}, {'test_file': 'doctests'}, {'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'inductor/test_select_algorithm'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 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'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'nn/test_load_state_dict'}, {'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': 'test_sparse_csr'}, {'test_file': 'optim/test_optim'}, {'test_file': 'test_indexing'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'test_view_ops'}, {'test_file': 'test_type_info'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'test_nn'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_multiprocessing_spawn'}, {'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_pooling'}, {'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': 'test_overrides'}, {'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_reductions'}, {'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': 'test_spectral_ops'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility'}, {'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-14ac877cae4fa6573980.json is not a benchmark record, skipping 2025-12-04T09:38:35.3457375Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:38:35.3459167Z /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/cuda_generator_test'}], 'excluded': []} from test/test-reports/td_exclusions-a3e4002a27e090adce73.json is not a benchmark record, skipping 2025-12-04T09:38:35.3461122Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:38:35.3462549Z /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/cuda_half_test'}], 'excluded': []} from test/test-reports/td_exclusions-51d7b408d57b6b9350fd.json is not a benchmark record, skipping 2025-12-04T09:38:35.3463919Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:38:35.3467111Z /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-66b2639d72772ab19028.json is not a benchmark record, skipping 2025-12-04T09:38:35.3470323Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:38:35.3471724Z /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/cuda_vectorized_test'}], 'excluded': []} from test/test-reports/td_exclusions-33e41bc5a00836910fc4.json is not a benchmark record, skipping 2025-12-04T09:38:35.3473125Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:38:35.3474604Z /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/cuda_distributions_test'}], 'excluded': []} from test/test-reports/td_exclusions-905084ecad9cfbbf086b.json is not a benchmark record, skipping 2025-12-04T09:38:35.3476012Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:38:35.3477403Z /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/cuda_optional_test'}], 'excluded': []} from test/test-reports/td_exclusions-4b569006c1a10f85287e.json is not a benchmark record, skipping 2025-12-04T09:38:35.3478788Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:38:35.3480183Z /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/cuda_complex_test'}], 'excluded': []} from test/test-reports/td_exclusions-b8d2115b2a53172065ab.json is not a benchmark record, skipping 2025-12-04T09:38:35.3481553Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:38:35.3482959Z /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/cuda_complex_math_test'}], 'excluded': []} from test/test-reports/td_exclusions-bbdded8ca1869c54b217.json is not a benchmark record, skipping 2025-12-04T09:38:35.3484355Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:38:35.3485818Z /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/cuda_cub_test'}], 'excluded': []} from test/test-reports/td_exclusions-3dded949418a31d8a53b.json is not a benchmark record, skipping 2025-12-04T09:38:35.3487222Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:38:35.3488608Z /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/cuda_atomic_ops_test'}], 'excluded': []} from test/test-reports/td_exclusions-5a08aa4a464b82eabeb0.json is not a benchmark record, skipping 2025-12-04T09:38:35.3490037Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:38:35.3491444Z /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/cuda_allocator_test'}], 'excluded': []} from test/test-reports/td_exclusions-2219d0e8b1ca5f61426d.json is not a benchmark record, skipping 2025-12-04T09:38:35.3492836Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:38:35.3567584Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T09:38:35.3567944Z cat test/**/*_toprint.log || true 2025-12-04T09:38:35.3576846Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:38:35.3577177Z env: 2025-12-04T09:38:35.3577360Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:35.3577593Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:35.3577881Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:35.3578367Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:35.3578800Z DEVICE_NAME: 2025-12-04T09:38:35.3578996Z DEVICE_TYPE: 2025-12-04T09:38:35.3579186Z ##[endgroup] 2025-12-04T09:38:35.3692463Z Test results will be stored in test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-7947ea2619852068.xml 2025-12-04T09:38:35.3693228Z ============================= test session starts ============================== 2025-12-04T09:38:35.3693826Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:38:35.3694267Z cachedir: .pytest_cache 2025-12-04T09:38:35.3694795Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:38:35.3695373Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:38:35.3695645Z configfile: pytest.ini 2025-12-04T09:38:35.3696191Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T09:38:35.3696872Z collecting ... collected 2 items 2025-12-04T09:38:35.3697189Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:38:35.3697514Z Running 0 items in this shard: 2025-12-04T09:38:35.3697684Z 2025-12-04T09:38:35.3698208Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-7947ea2619852068.xml - 2025-12-04T09:38:35.3698956Z ============================ no tests ran in 0.01s ============================= 2025-12-04T09:38:35.3746509Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:38:35.3746842Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:38:35.3755959Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:38:35.3756292Z env: 2025-12-04T09:38:35.3756494Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:35.3756749Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:35.3757034Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:35.3757533Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:35.3757976Z DEVICE_NAME: 2025-12-04T09:38:35.3758285Z DEVICE_TYPE: 2025-12-04T09:38:35.3758500Z MONITOR_SCRIPT_PID: 59778 2025-12-04T09:38:35.3758745Z ##[endgroup] 2025-12-04T09:38:35.3788657Z /home/ec2-user/actions-runner/_work/_temp/76019876-a665-464d-ba8d-f96389bab29f.sh: line 1: kill: (59778) - No such process 2025-12-04T09:38:35.3802508Z ##[error]Process completed with exit code 1. 2025-12-04T09:38:35.3927065Z Prepare all required actions 2025-12-04T09:38:35.3927432Z Getting action download info 2025-12-04T09:38:35.6186441Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T09:38:36.2510540Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T09:38:38.1969213Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T09:38:38.1969525Z with: 2025-12-04T09:38:38.1969834Z file-suffix: test-slow-1-3-linux.g5.4xlarge.nvidia.gpu_57116039068 2025-12-04T09:38:38.1970223Z s3-bucket: gha-artifacts 2025-12-04T09:38:38.1970458Z env: 2025-12-04T09:38:38.1970634Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:38.1970865Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:38.1971146Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:38.1971631Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:38.1972088Z DEVICE_NAME: 2025-12-04T09:38:38.1972279Z DEVICE_TYPE: 2025-12-04T09:38:38.1972467Z ##[endgroup] 2025-12-04T09:38:38.2091257Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T09:38:38.2091653Z # Remove any previous test jsons if they exist 2025-12-04T09:38:38.2091984Z rm -f test-jsons-*.zip 2025-12-04T09:38:38.2092376Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T09:38:38.2101546Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:38:38.2101921Z env: 2025-12-04T09:38:38.2102194Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:38.2102444Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:38.2102724Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:38.2103221Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:38.2103658Z DEVICE_NAME: 2025-12-04T09:38:38.2103856Z DEVICE_TYPE: 2025-12-04T09:38:38.2104184Z FILE_SUFFIX: test-slow-1-3-linux.g5.4xlarge.nvidia.gpu_57116039068 2025-12-04T09:38:38.2104558Z ##[endgroup] 2025-12-04T09:38:38.3051016Z adding: test/test-reports/td_exclusions-47627aba532b52357143.json (deflated 16%) 2025-12-04T09:38:38.3052072Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-47b9eb74983b6130.json (stored 0%) 2025-12-04T09:38:38.3053340Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-2776ce26181dcedf.json (stored 0%) 2025-12-04T09:38:38.3054904Z adding: test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-1466246a1ddb183f.json (stored 0%) 2025-12-04T09:38:38.3056393Z adding: test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-7947ea2619852068.json (stored 0%) 2025-12-04T09:38:38.3065796Z adding: test/test-reports/python-pytest/inductor.test_max_autotune/inductor.test_max_autotune-1a64d68a76cbe627.json (deflated 99%) 2025-12-04T09:38:38.3070961Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-6abab443b28ec00b.json (deflated 99%) 2025-12-04T09:38:38.3072641Z adding: test/test-reports/python-pytest/inductor.test_cutlass_backend/inductor.test_cutlass_backend-019166822373c361.json (stored 0%) 2025-12-04T09:38:38.3074880Z adding: test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-8438e127c8969d51.json (deflated 99%) 2025-12-04T09:38:38.3076404Z adding: test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-ca5488357cfb88e6.json (stored 0%) 2025-12-04T09:38:38.3078030Z adding: 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(deflated 51%) 2025-12-04T09:38:38.4097570Z adding: test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_fdaf7e880298a12c_.log (deflated 56%) 2025-12-04T09:38:38.4134870Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T09:38:38.4135520Z # Remove any previous debugging artifacts if they exist 2025-12-04T09:38:38.4135882Z rm -f debug-*.zip 2025-12-04T09:38:38.4136146Z if [ -d 'test/debug' ]; then 2025-12-04T09:38:38.4136466Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T09:38:38.4136764Z fi 2025-12-04T09:38:38.4145536Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:38:38.4145873Z env: 2025-12-04T09:38:38.4146069Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:38.4146309Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:38.4146595Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:38.4147092Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:38.4147528Z DEVICE_NAME: 2025-12-04T09:38:38.4147742Z DEVICE_TYPE: 2025-12-04T09:38:38.4148062Z FILE_SUFFIX: test-slow-1-3-linux.g5.4xlarge.nvidia.gpu_57116039068 2025-12-04T09:38:38.4148430Z ##[endgroup] 2025-12-04T09:38:38.4256388Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:38:38.4256689Z with: 2025-12-04T09:38:38.4256884Z s3-bucket: gha-artifacts 2025-12-04T09:38:38.4257184Z s3-prefix: pytorch/pytorch/19922773007/1/artifact 2025-12-04T09:38:38.4257497Z retention-days: 14 2025-12-04T09:38:38.4257721Z if-no-files-found: warn 2025-12-04T09:38:38.4257969Z path: test-jsons-*.zip 2025-12-04T09:38:38.4258199Z name: artifact 2025-12-04T09:38:38.4258402Z region: us-east-1 2025-12-04T09:38:38.4258730Z env: 2025-12-04T09:38:38.4258920Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:38.4259154Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:38.4259440Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:38.4259963Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:38.4260577Z DEVICE_NAME: 2025-12-04T09:38:38.4260778Z DEVICE_TYPE: 2025-12-04T09:38:38.4260982Z ##[endgroup] 2025-12-04T09:38:38.9135737Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:38:38.9136137Z With the provided path, there will be 1 file uploaded 2025-12-04T09:38:38.9136539Z Uploading to s3 prefix: pytorch/pytorch/19922773007/1/artifact 2025-12-04T09:38:38.9209939Z Starting upload of test-jsons-test-slow-1-3-linux.g5.4xlarge.nvidia.gpu_57116039068.zip 2025-12-04T09:38:39.0796962Z Finished upload of test-jsons-test-slow-1-3-linux.g5.4xlarge.nvidia.gpu_57116039068.zip 2025-12-04T09:38:39.1089502Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:38:39.1089815Z with: 2025-12-04T09:38:39.1090020Z s3-bucket: gha-artifacts 2025-12-04T09:38:39.1090315Z s3-prefix: pytorch/pytorch/19922773007/1/artifact 2025-12-04T09:38:39.1090633Z retention-days: 14 2025-12-04T09:38:39.1090864Z if-no-files-found: error 2025-12-04T09:38:39.1091120Z path: test-reports-*.zip 2025-12-04T09:38:39.1091374Z name: artifact 2025-12-04T09:38:39.1091577Z region: us-east-1 2025-12-04T09:38:39.1091783Z env: 2025-12-04T09:38:39.1091980Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:39.1092213Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:39.1092504Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:39.1093011Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:39.1093447Z DEVICE_NAME: 2025-12-04T09:38:39.1093651Z DEVICE_TYPE: 2025-12-04T09:38:39.1093857Z ##[endgroup] 2025-12-04T09:38:39.7255536Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:38:39.7255956Z With the provided path, there will be 1 file uploaded 2025-12-04T09:38:39.7256356Z Uploading to s3 prefix: pytorch/pytorch/19922773007/1/artifact 2025-12-04T09:38:39.7329347Z Starting upload of test-reports-test-slow-1-3-linux.g5.4xlarge.nvidia.gpu_57116039068.zip 2025-12-04T09:38:39.8607303Z Finished upload of test-reports-test-slow-1-3-linux.g5.4xlarge.nvidia.gpu_57116039068.zip 2025-12-04T09:38:39.8899693Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:38:39.8899998Z with: 2025-12-04T09:38:39.8900213Z s3-bucket: gha-artifacts 2025-12-04T09:38:39.8900512Z s3-prefix: pytorch/pytorch/19922773007/1/artifact 2025-12-04T09:38:39.8900829Z retention-days: 14 2025-12-04T09:38:39.8901078Z if-no-files-found: ignore 2025-12-04T09:38:39.8901331Z path: logs-*.zip 2025-12-04T09:38:39.8901541Z name: artifact 2025-12-04T09:38:39.8901754Z region: us-east-1 2025-12-04T09:38:39.8901961Z env: 2025-12-04T09:38:39.8902151Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:39.8902399Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:39.8902705Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:39.8903209Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:39.8903650Z DEVICE_NAME: 2025-12-04T09:38:39.8903856Z DEVICE_TYPE: 2025-12-04T09:38:39.8904064Z ##[endgroup] 2025-12-04T09:38:40.2266640Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:38:40.2267052Z With the provided path, there will be 1 file uploaded 2025-12-04T09:38:40.2267449Z Uploading to s3 prefix: pytorch/pytorch/19922773007/1/artifact 2025-12-04T09:38:40.2340481Z Starting upload of logs-test-slow-1-3-linux.g5.4xlarge.nvidia.gpu_57116039068.zip 2025-12-04T09:38:40.3632440Z Finished upload of logs-test-slow-1-3-linux.g5.4xlarge.nvidia.gpu_57116039068.zip 2025-12-04T09:38:40.3953626Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:38:40.3954018Z with: 2025-12-04T09:38:40.3954426Z s3-bucket: gha-artifacts 2025-12-04T09:38:40.3954957Z s3-prefix: pytorch/pytorch/19922773007/1/artifact 2025-12-04T09:38:40.3955377Z retention-days: 14 2025-12-04T09:38:40.3955690Z if-no-files-found: ignore 2025-12-04T09:38:40.3956020Z path: debug-*.zip 2025-12-04T09:38:40.3956294Z name: artifact 2025-12-04T09:38:40.3956570Z region: us-east-1 2025-12-04T09:38:40.3956846Z env: 2025-12-04T09:38:40.3957265Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:40.3957594Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:40.3958006Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:40.3958690Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:40.3959286Z DEVICE_NAME: 2025-12-04T09:38:40.3959668Z DEVICE_TYPE: 2025-12-04T09:38:40.3959939Z ##[endgroup] 2025-12-04T09:38:40.7179286Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T09:38:40.7483606Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T09:38:40.7483946Z # shellcheck disable=SC2156 2025-12-04T09:38:40.7484479Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T09:38:40.7493542Z shell: /usr/bin/bash -e {0} 2025-12-04T09:38:40.7493776Z env: 2025-12-04T09:38:40.7493972Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:40.7494212Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:40.7494493Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:40.7494999Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:40.7495439Z DEVICE_NAME: 2025-12-04T09:38:40.7495638Z DEVICE_TYPE: 2025-12-04T09:38:40.7495839Z ##[endgroup] 2025-12-04T09:38:41.1696073Z Prepare all required actions 2025-12-04T09:38:41.1696424Z Getting action download info 2025-12-04T09:38:41.3504231Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T09:38:42.8967050Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T09:38:42.8967387Z with: 2025-12-04T09:38:42.8979393Z job_id: 57116039068 2025-12-04T09:38:42.8979947Z job_name: linux-jammy-cuda12.8-py3.10-gcc11-sm86 / test (slow, 1, 3, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:38:42.8980495Z workflow_name: slow 2025-12-04T09:38:42.8980731Z workflow_run_id: 19922773007 2025-12-04T09:38:42.8980990Z workflow_attempt: 1 2025-12-04T09:38:42.8981210Z env: 2025-12-04T09:38:42.8981404Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:42.8981650Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:42.8981952Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:42.8982481Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:42.8982928Z DEVICE_NAME: 2025-12-04T09:38:42.8983143Z DEVICE_TYPE: 2025-12-04T09:38:42.8983351Z ##[endgroup] 2025-12-04T09:38:42.9089191Z ##[group]Run actions/setup-python@v6 2025-12-04T09:38:42.9089460Z with: 2025-12-04T09:38:42.9089660Z python-version: 3.10 2025-12-04T09:38:42.9089897Z check-latest: false 2025-12-04T09:38:42.9090214Z token: *** 2025-12-04T09:38:42.9090431Z update-environment: true 2025-12-04T09:38:42.9090692Z allow-prereleases: false 2025-12-04T09:38:42.9090944Z freethreaded: false 2025-12-04T09:38:42.9091196Z env: 2025-12-04T09:38:42.9091389Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:42.9091622Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:42.9091909Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:42.9092409Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:42.9092847Z DEVICE_NAME: 2025-12-04T09:38:42.9093055Z DEVICE_TYPE: 2025-12-04T09:38:42.9093259Z ##[endgroup] 2025-12-04T09:38:43.2060638Z ##[group]Installed versions 2025-12-04T09:38:43.2069244Z Version 3.10 was not found in the local cache 2025-12-04T09:38:43.2243130Z (node:75578) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T09:38:43.2244047Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T09:38:43.5817778Z ##[error]The version '3.10' with architecture 'x64' was not found for this operating system. The list of all available versions can be found here: https://raw.githubusercontent.com/actions/python-versions/main/versions-manifest.json 2025-12-04T09:38:43.6060906Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T09:38:43.6061286Z with: 2025-12-04T09:38:43.6061474Z env: 2025-12-04T09:38:43.6061667Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:43.6061905Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:43.6062192Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:43.6062800Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:43.6063234Z DEVICE_NAME: 2025-12-04T09:38:43.6063433Z DEVICE_TYPE: 2025-12-04T09:38:43.6063634Z ##[endgroup] 2025-12-04T09:38:43.6151717Z ##[group]Run set -eou pipefail 2025-12-04T09:38:43.6152006Z set -eou pipefail 2025-12-04T09:38:43.6152245Z  2025-12-04T09:38:43.6152572Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T09:38:43.6152980Z for _ in $(seq 1440); do 2025-12-04T09:38:43.6153302Z  # Break if no ssh session exists anymore 2025-12-04T09:38:43.6153607Z  if [ "$(who)" = "" ]; then 2025-12-04T09:38:43.6153872Z  break 2025-12-04T09:38:43.6154183Z  fi 2025-12-04T09:38:43.6154387Z  echo "." 2025-12-04T09:38:43.6154600Z  sleep 5 2025-12-04T09:38:43.6154809Z done 2025-12-04T09:38:43.6163760Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:38:43.6164086Z env: 2025-12-04T09:38:43.6164282Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:43.6164523Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:43.6164804Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:43.6165305Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:43.6165746Z DEVICE_NAME: 2025-12-04T09:38:43.6165940Z DEVICE_TYPE: 2025-12-04T09:38:43.6166138Z ##[endgroup] 2025-12-04T09:38:43.6197397Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T09:38:43.6726395Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:38:43.6726891Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:38:43.6727275Z # shellcheck disable=SC2046 2025-12-04T09:38:43.6727581Z docker stop $(docker ps -q) || true 2025-12-04T09:38:43.6727903Z # Prune all of the docker images 2025-12-04T09:38:43.6728193Z docker system prune -af 2025-12-04T09:38:43.6737135Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:38:43.6737483Z env: 2025-12-04T09:38:43.6737678Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:38:43.6737933Z HAS_NVIDIA_GPU: true 2025-12-04T09:38:43.6738222Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:38:43.6738715Z DOCKER_CONTAINER_ID: 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:38:43.6739164Z DEVICE_NAME: 2025-12-04T09:38:43.6739371Z DEVICE_TYPE: 2025-12-04T09:38:43.6739592Z ##[endgroup] 2025-12-04T09:39:00.1032839Z 190fcd6c4d74 2025-12-04T09:39:01.0340531Z Deleted Containers: 2025-12-04T09:39:01.0341261Z 190fcd6c4d74d259ba58317f07d0839986d20c7f0006f6562bd89b3434782488 2025-12-04T09:39:01.0341845Z 2025-12-04T09:39:15.6668435Z Deleted Images: 2025-12-04T09:39:15.6669579Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:39:15.6671226Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:ba21003510dba4bdeed83df81a56fa468e0ee1b612a9445ae1f402a280804f97 2025-12-04T09:39:15.6672324Z deleted: sha256:add7313791033822205cdb3cf32096534b2cfaa4855bd48119b59000bfe00301 2025-12-04T09:39:15.6673197Z deleted: sha256:85a76b7bf29ad34eb76cce6f46af5d49a58b6272f80f983d5c769e82c7749301 2025-12-04T09:39:15.6673771Z deleted: sha256:0882f3ce59ff5ae30195ee4b059fc713e13eda107a3a7814a4616ac9058a30a4 2025-12-04T09:39:15.6674695Z deleted: 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Please use a userland alternative instead. 2025-12-04T09:39:15.8155174Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T09:39:15.8344676Z Post job cleanup. 2025-12-04T09:39:15.8386910Z Post job cleanup. 2025-12-04T09:39:15.9413530Z [command]/usr/bin/git version 2025-12-04T09:39:15.9460139Z git version 2.50.1 2025-12-04T09:39:15.9498808Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/fd72e0a6-e6e7-4efb-a046-2a88de7a101c/.gitconfig' 2025-12-04T09:39:15.9508625Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/fd72e0a6-e6e7-4efb-a046-2a88de7a101c' before making global git config changes 2025-12-04T09:39:15.9509462Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T09:39:15.9515155Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:39:15.9563436Z [command]/usr/bin/git config 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Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:39:16.3998684Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:39:16.4077461Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:39:16.4158894Z Entering 'third_party/kleidiai' 2025-12-04T09:39:16.4241415Z Entering 'third_party/mimalloc' 2025-12-04T09:39:16.4322019Z Entering 'third_party/nlohmann' 2025-12-04T09:39:16.4403461Z Entering 'third_party/onnx' 2025-12-04T09:39:16.4502422Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:39:16.4591280Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:39:16.4671192Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:39:16.4749398Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:39:16.4825809Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:39:16.4902000Z Entering 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[command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-12-04T09:39:16.6773486Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-12-04T09:39:16.7176091Z Entering 'android/libs/fbjni' 2025-12-04T09:39:16.7227622Z http.https://github.com/.extraheader 2025-12-04T09:39:16.7279226Z Entering 'third_party/FP16' 2025-12-04T09:39:16.7331337Z http.https://github.com/.extraheader 2025-12-04T09:39:16.7380612Z Entering 'third_party/FXdiv' 2025-12-04T09:39:16.7435250Z http.https://github.com/.extraheader 2025-12-04T09:39:16.7485695Z Entering 'third_party/NNPACK' 2025-12-04T09:39:16.7536784Z http.https://github.com/.extraheader 2025-12-04T09:39:16.7588235Z Entering 'third_party/NVTX' 2025-12-04T09:39:16.7644202Z http.https://github.com/.extraheader 2025-12-04T09:39:16.7694631Z Entering 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http.https://github.com/.extraheader 2025-12-04T09:39:16.8554100Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:39:16.8605089Z http.https://github.com/.extraheader 2025-12-04T09:39:16.8654341Z Entering 'third_party/cutlass' 2025-12-04T09:39:16.8704560Z http.https://github.com/.extraheader 2025-12-04T09:39:16.8765414Z Entering 'third_party/fbgemm' 2025-12-04T09:39:16.8816875Z http.https://github.com/.extraheader 2025-12-04T09:39:16.8867025Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:39:16.8917931Z http.https://github.com/.extraheader 2025-12-04T09:39:16.8967113Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:39:16.9017712Z http.https://github.com/.extraheader 2025-12-04T09:39:16.9074673Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:39:16.9125825Z http.https://github.com/.extraheader 2025-12-04T09:39:16.9175698Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:39:16.9226815Z http.https://github.com/.extraheader 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http.https://github.com/.extraheader 2025-12-04T09:39:17.0843311Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:39:17.0894126Z http.https://github.com/.extraheader 2025-12-04T09:39:17.0943917Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:39:17.0993495Z http.https://github.com/.extraheader 2025-12-04T09:39:17.1045339Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:39:17.1095259Z http.https://github.com/.extraheader 2025-12-04T09:39:17.1156881Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:39:17.1206433Z http.https://github.com/.extraheader 2025-12-04T09:39:17.1256016Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:39:17.1310047Z http.https://github.com/.extraheader 2025-12-04T09:39:17.1356116Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 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2025-12-04T09:39:17.2701687Z http.https://github.com/.extraheader 2025-12-04T09:39:17.2753297Z Entering 'third_party/onnx' 2025-12-04T09:39:17.2808311Z http.https://github.com/.extraheader 2025-12-04T09:39:17.2874804Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:39:17.2926623Z http.https://github.com/.extraheader 2025-12-04T09:39:17.2981930Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:39:17.3033433Z http.https://github.com/.extraheader 2025-12-04T09:39:17.3084777Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:39:17.3135201Z http.https://github.com/.extraheader 2025-12-04T09:39:17.3185970Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:39:17.3238502Z http.https://github.com/.extraheader 2025-12-04T09:39:17.3288494Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:39:17.3338873Z http.https://github.com/.extraheader 2025-12-04T09:39:17.3390000Z Entering 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