2025-12-04T08:57:38.5760102Z Current runner version: '2.330.0'
2025-12-04T08:57:38.5766469Z Runner name: 'i-0432f28cd9c38fe5d'
2025-12-04T08:57:38.5767400Z Runner group name: 'Default'
2025-12-04T08:57:38.5768281Z Machine name: 'ip-10-0-41-136'
2025-12-04T08:57:38.5771139Z ##[group]GITHUB_TOKEN Permissions
2025-12-04T08:57:38.5773403Z Contents: read
2025-12-04T08:57:38.5774060Z Metadata: read
2025-12-04T08:57:38.5774578Z ##[endgroup]
2025-12-04T08:57:38.5777145Z Secret source: Actions
2025-12-04T08:57:38.5777955Z Prepare workflow directory
2025-12-04T08:57:38.6296865Z Prepare all required actions
2025-12-04T08:57:38.6337113Z Getting action download info
2025-12-04T08:57:38.9634086Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd)
2025-12-04T08:57:41.0941236Z Download action repository 'pytorch/pytorch@main' (SHA:eabb7ad2128580ef674446027b95bcf4e21e8df3)
2025-12-04T08:57:55.2547222Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-12-04T08:57:55.5906766Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-12-04T08:57:55.8287560Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-12-04T08:57:56.0039544Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-12-04T08:57:56.2474852Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-12-04T08:57:56.5590506Z Getting action download info
2025-12-04T08:57:56.6679131Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5)
2025-12-04T08:57:56.9363562Z Getting action download info
2025-12-04T08:57:57.0627221Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-12-04T08:57:57.2605963Z Getting action download info
2025-12-04T08:57:57.3916845Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-12-04T08:57:57.7207357Z Getting action download info
2025-12-04T08:57:57.8662566Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32)
2025-12-04T08:57:57.8666597Z ##[group] Inputs
2025-12-04T08:57:57.8666989Z   build-environment: linux-jammy-py3.10-clang18-asan
2025-12-04T08:57:57.8668601Z   test-matrix: {"include": [{"config": "slow", "shard": 1, "num_shards": 3, "runner": "lf.linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "lf.linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "lf.linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}
2025-12-04T08:57:57.8670670Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:57:57.8671512Z   sync-tag: asan-test
2025-12-04T08:57:57.8672317Z   timeout-minutes: 240
2025-12-04T08:57:57.8672588Z   use-gha: 
2025-12-04T08:57:57.8672796Z   dashboard-tag: 
2025-12-04T08:57:57.8673042Z   s3-bucket: gha-artifacts
2025-12-04T08:57:57.8673318Z   aws-role-to-assume: 
2025-12-04T08:57:57.8673887Z   disable-monitor: false
2025-12-04T08:57:57.8674202Z   monitor-log-interval: 5
2025-12-04T08:57:57.8674509Z   monitor-data-collect-interval: 1
2025-12-04T08:57:57.8674828Z ##[endgroup]
2025-12-04T08:57:57.8675338Z Complete job name: linux-jammy-py3.10-clang18-asan / test (slow, 1, 3, lf.linux.4xlarge, rerun_disabled_tests)
2025-12-04T08:57:57.9172234Z A job started hook has been configured by the self-hosted runner administrator
2025-12-04T08:57:57.9272931Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-12-04T08:57:57.9281903Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:57:57.9282581Z ##[endgroup]
2025-12-04T08:57:59.3986766Z Runner Type: lf.linux.4xlarge
2025-12-04T08:57:59.3987256Z Instance Type: c5.4xlarge
2025-12-04T08:57:59.3987519Z AMI Name: unknown
2025-12-04T08:57:59.4014368Z AMI ID: ami-08982f1c5bf93d976
2025-12-04T08:58:04.5836730Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-12-04T08:58:04.5837184Z with:
2025-12-04T08:58:04.5837737Z   github-secret: ***
2025-12-04T08:58:04.5838480Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-12-04T08:58:04.5839283Z   activate-with-label: false
2025-12-04T08:58:04.5839571Z   label: with-ssh
2025-12-04T08:58:04.5839811Z   remove-existing-keys: true
2025-12-04T08:58:04.5840090Z   fail-silently: true
2025-12-04T08:58:04.5840355Z env:
2025-12-04T08:58:04.5840555Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:58:04.5840831Z ##[endgroup]
2025-12-04T08:58:04.6978234Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-12-04T08:58:04.6979485Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-12-04T08:58:04.7115723Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-12-04T08:58:04.7116173Z with:
2025-12-04T08:58:04.7116391Z   no-sudo: true
2025-12-04T08:58:04.7116616Z   submodules: recursive
2025-12-04T08:58:04.7116875Z   fetch-depth: 0
2025-12-04T08:58:04.7117102Z env:
2025-12-04T08:58:04.7117303Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:58:04.7117560Z ##[endgroup]
2025-12-04T08:58:04.7190019Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:58:04.7191002Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:58:04.7198696Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:58:04.7199092Z env:
2025-12-04T08:58:04.7199321Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:58:04.7199623Z ##[endgroup]
2025-12-04T08:58:04.7275950Z ##[group]Run # Use all available CPUs for fetching
2025-12-04T08:58:04.7276408Z # Use all available CPUs for fetching
2025-12-04T08:58:04.7276772Z cd "${GITHUB_WORKSPACE}"
2025-12-04T08:58:04.7277108Z git config --global fetch.parallel 0
2025-12-04T08:58:04.7277509Z git config --global submodule.fetchJobs 0
2025-12-04T08:58:04.7278131Z 
2025-12-04T08:58:04.7278571Z # Clean workspace. The default checkout action should also do this, but
2025-12-04T08:58:04.7279086Z # do it here as well just in case
2025-12-04T08:58:04.7279420Z if [[ -d .git ]]; then
2025-12-04T08:58:04.7279725Z   if [ -z "${NO_SUDO}" ]; then
2025-12-04T08:58:04.7280047Z     sudo git clean -ffdx
2025-12-04T08:58:04.7280336Z   else
2025-12-04T08:58:04.7280573Z     git clean -ffdx
2025-12-04T08:58:04.7280829Z   fi
2025-12-04T08:58:04.7281042Z fi
2025-12-04T08:58:04.7286459Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:58:04.7286838Z env:
2025-12-04T08:58:04.7287163Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:58:04.7287432Z   NO_SUDO: true
2025-12-04T08:58:04.7287647Z ##[endgroup]
2025-12-04T08:58:04.7394349Z ##[group]Run actions/checkout@v4
2025-12-04T08:58:04.7394646Z with:
2025-12-04T08:58:04.7394901Z   ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:58:04.7395244Z   fetch-depth: 0
2025-12-04T08:58:04.7395474Z   submodules: recursive
2025-12-04T08:58:04.7395740Z   show-progress: false
2025-12-04T08:58:04.7396012Z   repository: pytorch/pytorch
2025-12-04T08:58:04.7396441Z   token: ***
2025-12-04T08:58:04.7396854Z   ssh-strict: true
2025-12-04T08:58:04.7397274Z   ssh-user: git
2025-12-04T08:58:04.7397519Z   persist-credentials: true
2025-12-04T08:58:04.7397779Z   clean: true
2025-12-04T08:58:04.7398025Z   sparse-checkout-cone-mode: true
2025-12-04T08:58:04.7398327Z   fetch-tags: false
2025-12-04T08:58:04.7398547Z   lfs: false
2025-12-04T08:58:04.7398778Z   set-safe-directory: true
2025-12-04T08:58:04.7399048Z env:
2025-12-04T08:58:04.7399249Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:58:04.7399509Z ##[endgroup]
2025-12-04T08:58:04.8475150Z Syncing repository: pytorch/pytorch
2025-12-04T08:58:04.8476513Z ##[group]Getting Git version info
2025-12-04T08:58:04.8477000Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-12-04T08:58:04.8477685Z [command]/usr/bin/git version
2025-12-04T08:58:04.8477979Z git version 2.50.1
2025-12-04T08:58:04.8483648Z ##[endgroup]
2025-12-04T08:58:04.8492615Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/8f052c1e-43c4-41b4-a04e-542555e96a7c/.gitconfig'
2025-12-04T08:58:04.8510576Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/8f052c1e-43c4-41b4-a04e-542555e96a7c' before making global git config changes
2025-12-04T08:58:04.8511622Z Adding repository directory to the temporary git global config as a safe directory
2025-12-04T08:58:04.8515319Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T08:58:04.8545983Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-12-04T08:58:04.8548760Z ##[group]Initializing the repository
2025-12-04T08:58:04.8552569Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T08:58:04.8581642Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-12-04T08:58:04.8582476Z hint: is subject to change. To configure the initial branch name to use in all
2025-12-04T08:58:04.8583295Z hint: of your new repositories, which will suppress this warning, call:
2025-12-04T08:58:04.8583920Z hint:
2025-12-04T08:58:04.8584202Z hint: 	git config --global init.defaultBranch <name>
2025-12-04T08:58:04.8584557Z hint:
2025-12-04T08:58:04.8584911Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-12-04T08:58:04.8585509Z hint: 'development'. The just-created branch can be renamed via this command:
2025-12-04T08:58:04.8585948Z hint:
2025-12-04T08:58:04.8586169Z hint: 	git branch -m <name>
2025-12-04T08:58:04.8586522Z hint:
2025-12-04T08:58:04.8587217Z hint: Disable this message with "git config set advice.defaultBranchName false"
2025-12-04T08:58:04.8588184Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-12-04T08:58:04.8591041Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-12-04T08:58:04.8614908Z ##[endgroup]
2025-12-04T08:58:04.8615373Z ##[group]Disabling automatic garbage collection
2025-12-04T08:58:04.8618180Z [command]/usr/bin/git config --local gc.auto 0
2025-12-04T08:58:04.8640064Z ##[endgroup]
2025-12-04T08:58:04.8640459Z ##[group]Setting up auth
2025-12-04T08:58:04.8646036Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-12-04T08:58:04.8669860Z [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' || :"
2025-12-04T08:58:04.8934958Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-12-04T08:58:04.8957675Z [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' || :"
2025-12-04T08:58:04.9198336Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T08:58:04.9221872Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url
2025-12-04T08:58:04.9463949Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T08:58:04.9501347Z ##[endgroup]
2025-12-04T08:58:04.9501930Z ##[group]Fetching the repository
2025-12-04T08:58:04.9509087Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-12-04T08:58:53.0205605Z From https://github.com/pytorch/pytorch
2025-12-04T08:58:53.0206140Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-12-04T08:58:53.0206781Z  * [new branch]              2.9.1                       -> origin/2.9.1
2025-12-04T08:58:53.0207491Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-12-04T08:58:53.0208159Z  * [new branch]              Flamefire-patch-1           -> origin/Flamefire-patch-1
2025-12-04T08:58:53.0208825Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-12-04T08:58:53.0209420Z  * [new branch]              HOPrintFunc                 -> origin/HOPrintFunc
2025-12-04T08:58:53.0210542Z  * [new branch]              IvanKobzarev/stack/1        -> origin/IvanKobzarev/stack/1
2025-12-04T08:58:53.0212568Z  * [new branch]              NicoshevSVE128              -> origin/NicoshevSVE128
2025-12-04T08:58:53.0213304Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-12-04T08:58:53.0214496Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-12-04T08:58:53.0215553Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-12-04T08:58:53.0216493Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-12-04T08:58:53.0217513Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-12-04T08:58:53.0218635Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-12-04T08:58:53.0219626Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-12-04T08:58:53.0221051Z  * [new branch]              activation_bench            -> origin/activation_bench
2025-12-04T08:58:53.0222007Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-12-04T08:58:53.0223487Z  * [new branch]              adi/onednn_aarch64          -> origin/adi/onednn_aarch64
2025-12-04T08:58:53.0224435Z  * [new branch]              adi/test                    -> origin/adi/test
2025-12-04T08:58:53.0225456Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-12-04T08:58:53.0226500Z  * [new branch]              adi/test_m8g                -> origin/adi/test_m8g
2025-12-04T08:58:53.0227559Z  * [new branch]              adi/test_onednn             -> origin/adi/test_onednn
2025-12-04T08:58:53.0228616Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-12-04T08:58:53.0229665Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-12-04T08:58:53.0230637Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-12-04T08:58:53.0232084Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-12-04T08:58:53.0233888Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-12-04T08:58:53.0234872Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-12-04T08:58:53.0236583Z  * [new branch]              albanD-patch-1              -> origin/albanD-patch-1
2025-12-04T08:58:53.0237557Z  * [new branch]              also-surround-shimh         -> origin/also-surround-shimh
2025-12-04T08:58:53.0238649Z  * [new branch]              angelayi/aot_compile        -> origin/angelayi/aot_compile
2025-12-04T08:58:53.0239795Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-12-04T08:58:53.0240720Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-12-04T08:58:53.0241837Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-12-04T08:58:53.0242743Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-12-04T08:58:53.0243802Z  * [new branch]              angelayi/inductor_const     -> origin/angelayi/inductor_const
2025-12-04T08:58:53.0244700Z  * [new branch]              angelayi/lstm               -> origin/angelayi/lstm
2025-12-04T08:58:53.0246224Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-12-04T08:58:53.0247648Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-12-04T08:58:53.0248654Z  * [new branch]              angelayi/side_eff           -> origin/angelayi/side_eff
2025-12-04T08:58:53.0249739Z  * [new branch]              angelayi/state_dict         -> origin/angelayi/state_dict
2025-12-04T08:58:53.0250827Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
2025-12-04T08:58:53.0251976Z  * [new branch]              angelayi/symm_mem           -> origin/angelayi/symm_mem
2025-12-04T08:58:53.0252942Z  * [new branch]              angelayi/test_cpp           -> origin/angelayi/test_cpp
2025-12-04T08:58:53.0254026Z  * [new branch]              angelayi/torch_size         -> origin/angelayi/torch_size
2025-12-04T08:58:53.0255038Z  * [new branch]              annotate_assert             -> origin/annotate_assert
2025-12-04T08:58:53.0256163Z  * [new branch]              annotate_fallback_kernel    -> origin/annotate_fallback_kernel
2025-12-04T08:58:53.0257248Z  * [new branch]              annotation_deepcopy         -> origin/annotation_deepcopy
2025-12-04T08:58:53.0258261Z  * [new branch]              annotation_dynamo           -> origin/annotation_dynamo
2025-12-04T08:58:53.0259375Z  * [new branch]              aot_eager_stack_trace       -> origin/aot_eager_stack_trace
2025-12-04T08:58:53.0260407Z  * [new branch]              aoti-cuda-alloc             -> origin/aoti-cuda-alloc
2025-12-04T08:58:53.0261457Z  * [new branch]              aoti_const_device           -> origin/aoti_const_device
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2025-12-04T08:58:53.5883246Z  * [new tag]                 ciflow/b200/161607          -> ciflow/b200/161607
2025-12-04T08:58:53.5883837Z  * [new tag]                 ciflow/b200/161938          -> ciflow/b200/161938
2025-12-04T08:58:53.5884680Z  * [new tag]                 ciflow/b200/167207          -> ciflow/b200/167207
2025-12-04T08:58:53.5885274Z  * [new tag]                 ciflow/b200/167989          -> ciflow/b200/167989
2025-12-04T08:58:53.5886525Z  * [new tag]                 ciflow/b200/168096          -> ciflow/b200/168096
2025-12-04T08:58:53.5887557Z  * [new tag]                 ciflow/b200/168175          -> ciflow/b200/168175
2025-12-04T08:58:53.5888170Z  * [new tag]                 ciflow/b200/168195          -> ciflow/b200/168195
2025-12-04T08:58:53.5889093Z  * [new tag]                 ciflow/b200/169200          -> ciflow/b200/169200
2025-12-04T08:58:53.5889717Z  * [new tag]                 ciflow/b200/169216          -> ciflow/b200/169216
2025-12-04T08:58:53.5890837Z  * [new tag]                 ciflow/b200/169380          -> ciflow/b200/169380
2025-12-04T08:58:53.5891860Z  * [new tag]                 ciflow/b200/169412          -> ciflow/b200/169412
2025-12-04T08:58:53.5892698Z  * [new tag]                 ciflow/b200/169470          -> ciflow/b200/169470
2025-12-04T08:58:53.5893328Z  * [new tag]                 ciflow/b200/169471          -> ciflow/b200/169471
2025-12-04T08:58:53.5894015Z  * [new tag]                 ciflow/b200/169472          -> ciflow/b200/169472
2025-12-04T08:58:53.5895015Z  * [new tag]                 ciflow/b200/169514          -> ciflow/b200/169514
2025-12-04T08:58:53.5895625Z  * [new tag]                 ciflow/b200/169517          -> ciflow/b200/169517
2025-12-04T08:58:53.5896771Z  * [new tag]                 ciflow/binaries/165922      -> ciflow/binaries/165922
2025-12-04T08:58:53.5897378Z  * [new tag]                 ciflow/binaries/169510      -> ciflow/binaries/169510
2025-12-04T08:58:53.5898445Z  * [new tag]                 ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994
2025-12-04T08:58:53.5899067Z  * [new tag]                 ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829
2025-12-04T08:58:53.5899736Z  * [new tag]                 ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972
2025-12-04T08:58:53.5900491Z  * [new tag]                 ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981
2025-12-04T08:58:53.5901378Z  * [new tag]                 ciflow/dynamo/167695        -> ciflow/dynamo/167695
2025-12-04T08:58:53.5901894Z  * [new tag]                 ciflow/dynamo/168096        -> ciflow/dynamo/168096
2025-12-04T08:58:53.5902821Z  * [new tag]                 ciflow/dynamo/169525        -> ciflow/dynamo/169525
2025-12-04T08:58:53.5903654Z  * [new tag]                 ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938
2025-12-04T08:58:53.5904292Z  * [new tag]                 ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940
2025-12-04T08:58:53.5905277Z  * [new tag]                 ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923
2025-12-04T08:58:53.5905956Z  * [new tag]                 ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552
2025-12-04T08:58:53.5906599Z  * [new tag]                 ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129
2025-12-04T08:58:53.5907255Z  * [new tag]                 ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917
2025-12-04T08:58:53.5908392Z  * [new tag]                 ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156
2025-12-04T08:58:53.5909419Z  * [new tag]                 ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200
2025-12-04T08:58:53.5910057Z  * [new tag]                 ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216
2025-12-04T08:58:53.5910635Z  * [new tag]                 ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338
2025-12-04T08:58:53.5911429Z  * [new tag]                 ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355
2025-12-04T08:58:53.5912089Z  * [new tag]                 ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543
2025-12-04T08:58:53.5912821Z  * [new tag]                 ciflow/h100/115316          -> ciflow/h100/115316
2025-12-04T08:58:53.5913471Z  * [new tag]                 ciflow/h100/160685          -> ciflow/h100/160685
2025-12-04T08:58:53.5914115Z  * [new tag]                 ciflow/h100/160729          -> ciflow/h100/160729
2025-12-04T08:58:53.5914770Z  * [new tag]                 ciflow/h100/161607          -> ciflow/h100/161607
2025-12-04T08:58:53.5915399Z  * [new tag]                 ciflow/h100/161938          -> ciflow/h100/161938
2025-12-04T08:58:53.5916027Z  * [new tag]                 ciflow/h100/167207          -> ciflow/h100/167207
2025-12-04T08:58:53.5916745Z  * [new tag]                 ciflow/h100/167989          -> ciflow/h100/167989
2025-12-04T08:58:53.5917826Z  * [new tag]                 ciflow/h100/168096          -> ciflow/h100/168096
2025-12-04T08:58:53.5918359Z  * [new tag]                 ciflow/h100/168175          -> ciflow/h100/168175
2025-12-04T08:58:53.5919038Z  * [new tag]                 ciflow/h100/168195          -> ciflow/h100/168195
2025-12-04T08:58:53.5919690Z  * [new tag]                 ciflow/h100/168980          -> ciflow/h100/168980
2025-12-04T08:58:53.5920624Z  * [new tag]                 ciflow/h100/169200          -> ciflow/h100/169200
2025-12-04T08:58:53.5921526Z  * [new tag]                 ciflow/h100/169216          -> ciflow/h100/169216
2025-12-04T08:58:53.5922257Z  * [new tag]                 ciflow/h100/169380          -> ciflow/h100/169380
2025-12-04T08:58:53.5922949Z  * [new tag]                 ciflow/h100/169412          -> ciflow/h100/169412
2025-12-04T08:58:53.5923651Z  * [new tag]                 ciflow/h100/169470          -> ciflow/h100/169470
2025-12-04T08:58:53.5924325Z  * [new tag]                 ciflow/h100/169471          -> ciflow/h100/169471
2025-12-04T08:58:53.5924998Z  * [new tag]                 ciflow/h100/169472          -> ciflow/h100/169472
2025-12-04T08:58:53.5925667Z  * [new tag]                 ciflow/h100/169514          -> ciflow/h100/169514
2025-12-04T08:58:53.5926607Z  * [new tag]                 ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096
2025-12-04T08:58:53.5928142Z  * [new tag]                 ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096
2025-12-04T08:58:53.5928769Z  * [new tag]                 ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165
2025-12-04T08:58:53.5929540Z  * [new tag]                 ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096
2025-12-04T08:58:53.5930318Z  * [new tag]                 ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096
2025-12-04T08:58:53.5931600Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073
2025-12-04T08:58:53.5932223Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096
2025-12-04T08:58:53.5932954Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024
2025-12-04T08:58:53.5933727Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024
2025-12-04T08:58:53.5934432Z  * [new tag]                 ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096
2025-12-04T08:58:53.5935129Z  * [new tag]                 ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096
2025-12-04T08:58:53.5935798Z  * [new tag]                 ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024
2025-12-04T08:58:53.5936623Z  * [new tag]                 ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425
2025-12-04T08:58:53.5937649Z  * [new tag]                 ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545
2025-12-04T08:58:53.5938305Z  * [new tag]                 ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997
2025-12-04T08:58:53.5938953Z  * [new tag]                 ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096
2025-12-04T08:58:53.5939718Z  * [new tag]                 ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063
2025-12-04T08:58:53.5940403Z  * [new tag]                 ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425
2025-12-04T08:58:53.5941207Z  * [new tag]                 ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545
2025-12-04T08:58:53.5941934Z  * [new tag]                 ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096
2025-12-04T08:58:53.5942524Z  * [new tag]                 ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063
2025-12-04T08:58:53.5943187Z  * [new tag]                 ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425
2025-12-04T08:58:53.5944148Z  * [new tag]                 ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052
2025-12-04T08:58:53.5944697Z  * [new tag]                 ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971
2025-12-04T08:58:53.5945658Z  * [new tag]                 ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096
2025-12-04T08:58:53.5946367Z  * [new tag]                 ciflow/inductor/144542      -> ciflow/inductor/144542
2025-12-04T08:58:53.5947032Z  * [new tag]                 ciflow/inductor/146506      -> ciflow/inductor/146506
2025-12-04T08:58:53.5947669Z  * [new tag]                 ciflow/inductor/147990      -> ciflow/inductor/147990
2025-12-04T08:58:53.5948423Z  * [new tag]                 ciflow/inductor/148294      -> ciflow/inductor/148294
2025-12-04T08:58:53.5949069Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-12-04T08:58:53.5949716Z  * [new tag]                 ciflow/inductor/157149      -> ciflow/inductor/157149
2025-12-04T08:58:53.5950363Z  * [new tag]                 ciflow/inductor/157994      -> ciflow/inductor/157994
2025-12-04T08:58:53.5951050Z  * [new tag]                 ciflow/inductor/160685      -> ciflow/inductor/160685
2025-12-04T08:58:53.5951743Z  * [new tag]                 ciflow/inductor/160686      -> ciflow/inductor/160686
2025-12-04T08:58:53.5952841Z  * [new tag]                 ciflow/inductor/160687      -> ciflow/inductor/160687
2025-12-04T08:58:53.5953380Z  * [new tag]                 ciflow/inductor/160688      -> ciflow/inductor/160688
2025-12-04T08:58:53.5954405Z  * [new tag]                 ciflow/inductor/160706      -> ciflow/inductor/160706
2025-12-04T08:58:53.5955310Z  * [new tag]                 ciflow/inductor/160729      -> ciflow/inductor/160729
2025-12-04T08:58:53.5956219Z  * [new tag]                 ciflow/inductor/161938      -> ciflow/inductor/161938
2025-12-04T08:58:53.5956815Z  * [new tag]                 ciflow/inductor/161939      -> ciflow/inductor/161939
2025-12-04T08:58:53.5957526Z  * [new tag]                 ciflow/inductor/161940      -> ciflow/inductor/161940
2025-12-04T08:58:53.5958201Z  * [new tag]                 ciflow/inductor/162052      -> ciflow/inductor/162052
2025-12-04T08:58:53.5958898Z  * [new tag]                 ciflow/inductor/162275      -> ciflow/inductor/162275
2025-12-04T08:58:53.5959615Z  * [new tag]                 ciflow/inductor/162795      -> ciflow/inductor/162795
2025-12-04T08:58:53.5960568Z  * [new tag]                 ciflow/inductor/163245      -> ciflow/inductor/163245
2025-12-04T08:58:53.5961187Z  * [new tag]                 ciflow/inductor/163335      -> ciflow/inductor/163335
2025-12-04T08:58:53.5961874Z  * [new tag]                 ciflow/inductor/163503      -> ciflow/inductor/163503
2025-12-04T08:58:53.5962574Z  * [new tag]                 ciflow/inductor/163942      -> ciflow/inductor/163942
2025-12-04T08:58:53.5963482Z  * [new tag]                 ciflow/inductor/165270      -> ciflow/inductor/165270
2025-12-04T08:58:53.5964036Z  * [new tag]                 ciflow/inductor/165274      -> ciflow/inductor/165274
2025-12-04T08:58:53.5964774Z  * [new tag]                 ciflow/inductor/165322      -> ciflow/inductor/165322
2025-12-04T08:58:53.5965455Z  * [new tag]                 ciflow/inductor/165597      -> ciflow/inductor/165597
2025-12-04T08:58:53.5966173Z  * [new tag]                 ciflow/inductor/166063      -> ciflow/inductor/166063
2025-12-04T08:58:53.5966825Z  * [new tag]                 ciflow/inductor/166075      -> ciflow/inductor/166075
2025-12-04T08:58:53.5967658Z  * [new tag]                 ciflow/inductor/166165      -> ciflow/inductor/166165
2025-12-04T08:58:53.5968770Z  * [new tag]                 ciflow/inductor/166254      -> ciflow/inductor/166254
2025-12-04T08:58:53.5969324Z  * [new tag]                 ciflow/inductor/166483      -> ciflow/inductor/166483
2025-12-04T08:58:53.5970192Z  * [new tag]                 ciflow/inductor/166494      -> ciflow/inductor/166494
2025-12-04T08:58:53.5970808Z  * [new tag]                 ciflow/inductor/166545      -> ciflow/inductor/166545
2025-12-04T08:58:53.5971509Z  * [new tag]                 ciflow/inductor/166788      -> ciflow/inductor/166788
2025-12-04T08:58:53.5972430Z  * [new tag]                 ciflow/inductor/166846      -> ciflow/inductor/166846
2025-12-04T08:58:53.5973075Z  * [new tag]                 ciflow/inductor/167300      -> ciflow/inductor/167300
2025-12-04T08:58:53.5973713Z  * [new tag]                 ciflow/inductor/167407      -> ciflow/inductor/167407
2025-12-04T08:58:53.5974581Z  * [new tag]                 ciflow/inductor/167536      -> ciflow/inductor/167536
2025-12-04T08:58:53.5975244Z  * [new tag]                 ciflow/inductor/167552      -> ciflow/inductor/167552
2025-12-04T08:58:53.5975927Z  * [new tag]                 ciflow/inductor/167555      -> ciflow/inductor/167555
2025-12-04T08:58:53.5976788Z  * [new tag]                 ciflow/inductor/167583      -> ciflow/inductor/167583
2025-12-04T08:58:53.5977398Z  * [new tag]                 ciflow/inductor/167599      -> ciflow/inductor/167599
2025-12-04T08:58:53.5978116Z  * [new tag]                 ciflow/inductor/167647      -> ciflow/inductor/167647
2025-12-04T08:58:53.5978781Z  * [new tag]                 ciflow/inductor/167677      -> ciflow/inductor/167677
2025-12-04T08:58:53.5979487Z  * [new tag]                 ciflow/inductor/167680      -> ciflow/inductor/167680
2025-12-04T08:58:53.5980172Z  * [new tag]                 ciflow/inductor/167695      -> ciflow/inductor/167695
2025-12-04T08:58:53.5980863Z  * [new tag]                 ciflow/inductor/167742      -> ciflow/inductor/167742
2025-12-04T08:58:53.5981551Z  * [new tag]                 ciflow/inductor/167768      -> ciflow/inductor/167768
2025-12-04T08:58:53.5982544Z  * [new tag]                 ciflow/inductor/167773      -> ciflow/inductor/167773
2025-12-04T08:58:53.5983132Z  * [new tag]                 ciflow/inductor/167781      -> ciflow/inductor/167781
2025-12-04T08:58:53.5983864Z  * [new tag]                 ciflow/inductor/167880      -> ciflow/inductor/167880
2025-12-04T08:58:53.5984580Z  * [new tag]                 ciflow/inductor/167887      -> ciflow/inductor/167887
2025-12-04T08:58:53.5985303Z  * [new tag]                 ciflow/inductor/167972      -> ciflow/inductor/167972
2025-12-04T08:58:53.5985997Z  * [new tag]                 ciflow/inductor/167989      -> ciflow/inductor/167989
2025-12-04T08:58:53.5986676Z  * [new tag]                 ciflow/inductor/168002      -> ciflow/inductor/168002
2025-12-04T08:58:53.5987369Z  * [new tag]                 ciflow/inductor/168050      -> ciflow/inductor/168050
2025-12-04T08:58:53.5988051Z  * [new tag]                 ciflow/inductor/168051      -> ciflow/inductor/168051
2025-12-04T08:58:53.5988747Z  * [new tag]                 ciflow/inductor/168052      -> ciflow/inductor/168052
2025-12-04T08:58:53.5989450Z  * [new tag]                 ciflow/inductor/168073      -> ciflow/inductor/168073
2025-12-04T08:58:53.5990130Z  * [new tag]                 ciflow/inductor/168096      -> ciflow/inductor/168096
2025-12-04T08:58:53.5990864Z  * [new tag]                 ciflow/inductor/168114      -> ciflow/inductor/168114
2025-12-04T08:58:53.5991534Z  * [new tag]                 ciflow/inductor/168115      -> ciflow/inductor/168115
2025-12-04T08:58:53.5992230Z  * [new tag]                 ciflow/inductor/168127      -> ciflow/inductor/168127
2025-12-04T08:58:53.5993000Z  * [new tag]                 ciflow/inductor/168129      -> ciflow/inductor/168129
2025-12-04T08:58:53.5993695Z  * [new tag]                 ciflow/inductor/168157      -> ciflow/inductor/168157
2025-12-04T08:58:53.5994390Z  * [new tag]                 ciflow/inductor/168175      -> ciflow/inductor/168175
2025-12-04T08:58:53.5995192Z  * [new tag]                 ciflow/inductor/168185      -> ciflow/inductor/168185
2025-12-04T08:58:53.5995848Z  * [new tag]                 ciflow/inductor/168195      -> ciflow/inductor/168195
2025-12-04T08:58:53.5996513Z  * [new tag]                 ciflow/inductor/168209      -> ciflow/inductor/168209
2025-12-04T08:58:53.6000458Z  * [new tag]                 ciflow/inductor/168266      -> ciflow/inductor/168266
2025-12-04T08:58:53.6001205Z  * [new tag]                 ciflow/inductor/168316      -> ciflow/inductor/168316
2025-12-04T08:58:53.6002159Z  * [new tag]                 ciflow/inductor/168326      -> ciflow/inductor/168326
2025-12-04T08:58:53.6003293Z  * [new tag]                 ciflow/inductor/168368      -> ciflow/inductor/168368
2025-12-04T08:58:53.6003908Z  * [new tag]                 ciflow/inductor/168894      -> ciflow/inductor/168894
2025-12-04T08:58:53.6004606Z  * [new tag]                 ciflow/inductor/168934      -> ciflow/inductor/168934
2025-12-04T08:58:53.6005285Z  * [new tag]                 ciflow/inductor/168939      -> ciflow/inductor/168939
2025-12-04T08:58:53.6005973Z  * [new tag]                 ciflow/inductor/168946      -> ciflow/inductor/168946
2025-12-04T08:58:53.6006648Z  * [new tag]                 ciflow/inductor/168950      -> ciflow/inductor/168950
2025-12-04T08:58:53.6007424Z  * [new tag]                 ciflow/inductor/168951      -> ciflow/inductor/168951
2025-12-04T08:58:53.6008136Z  * [new tag]                 ciflow/inductor/168952      -> ciflow/inductor/168952
2025-12-04T08:58:53.6008812Z  * [new tag]                 ciflow/inductor/168955      -> ciflow/inductor/168955
2025-12-04T08:58:53.6009531Z  * [new tag]                 ciflow/inductor/168971      -> ciflow/inductor/168971
2025-12-04T08:58:53.6010180Z  * [new tag]                 ciflow/inductor/168979      -> ciflow/inductor/168979
2025-12-04T08:58:53.6010867Z  * [new tag]                 ciflow/inductor/168980      -> ciflow/inductor/168980
2025-12-04T08:58:53.6011812Z  * [new tag]                 ciflow/inductor/168983      -> ciflow/inductor/168983
2025-12-04T08:58:53.6012429Z  * [new tag]                 ciflow/inductor/169006      -> ciflow/inductor/169006
2025-12-04T08:58:53.6013095Z  * [new tag]                 ciflow/inductor/169023      -> ciflow/inductor/169023
2025-12-04T08:58:53.6013777Z  * [new tag]                 ciflow/inductor/169024      -> ciflow/inductor/169024
2025-12-04T08:58:53.6014524Z  * [new tag]                 ciflow/inductor/169025      -> ciflow/inductor/169025
2025-12-04T08:58:53.6015225Z  * [new tag]                 ciflow/inductor/169066      -> ciflow/inductor/169066
2025-12-04T08:58:53.6015888Z  * [new tag]                 ciflow/inductor/169091      -> ciflow/inductor/169091
2025-12-04T08:58:53.6016602Z  * [new tag]                 ciflow/inductor/169102      -> ciflow/inductor/169102
2025-12-04T08:58:53.6017296Z  * [new tag]                 ciflow/inductor/169103      -> ciflow/inductor/169103
2025-12-04T08:58:53.6018024Z  * [new tag]                 ciflow/inductor/169121      -> ciflow/inductor/169121
2025-12-04T08:58:53.6018664Z  * [new tag]                 ciflow/inductor/169134      -> ciflow/inductor/169134
2025-12-04T08:58:53.6019574Z  * [new tag]                 ciflow/inductor/169135      -> ciflow/inductor/169135
2025-12-04T08:58:53.6020231Z  * [new tag]                 ciflow/inductor/169141      -> ciflow/inductor/169141
2025-12-04T08:58:53.6020860Z  * [new tag]                 ciflow/inductor/169151      -> ciflow/inductor/169151
2025-12-04T08:58:53.6021711Z  * [new tag]                 ciflow/inductor/169161      -> ciflow/inductor/169161
2025-12-04T08:58:53.6022357Z  * [new tag]                 ciflow/inductor/169167      -> ciflow/inductor/169167
2025-12-04T08:58:53.6023339Z  * [new tag]                 ciflow/inductor/169177      -> ciflow/inductor/169177
2025-12-04T08:58:53.6024072Z  * [new tag]                 ciflow/inductor/169185      -> ciflow/inductor/169185
2025-12-04T08:58:53.6024733Z  * [new tag]                 ciflow/inductor/169196      -> ciflow/inductor/169196
2025-12-04T08:58:53.6025546Z  * [new tag]                 ciflow/inductor/169200      -> ciflow/inductor/169200
2025-12-04T08:58:53.6026155Z  * [new tag]                 ciflow/inductor/169204      -> ciflow/inductor/169204
2025-12-04T08:58:53.6026842Z  * [new tag]                 ciflow/inductor/169216      -> ciflow/inductor/169216
2025-12-04T08:58:53.6027521Z  * [new tag]                 ciflow/inductor/169219      -> ciflow/inductor/169219
2025-12-04T08:58:53.6028214Z  * [new tag]                 ciflow/inductor/169220      -> ciflow/inductor/169220
2025-12-04T08:58:53.6029179Z  * [new tag]                 ciflow/inductor/169230      -> ciflow/inductor/169230
2025-12-04T08:58:53.6029717Z  * [new tag]                 ciflow/inductor/169242      -> ciflow/inductor/169242
2025-12-04T08:58:53.6030439Z  * [new tag]                 ciflow/inductor/169245      -> ciflow/inductor/169245
2025-12-04T08:58:53.6031349Z  * [new tag]                 ciflow/inductor/169260      -> ciflow/inductor/169260
2025-12-04T08:58:53.6031954Z  * [new tag]                 ciflow/inductor/169282      -> ciflow/inductor/169282
2025-12-04T08:58:53.6032666Z  * [new tag]                 ciflow/inductor/169286      -> ciflow/inductor/169286
2025-12-04T08:58:53.6033326Z  * [new tag]                 ciflow/inductor/169299      -> ciflow/inductor/169299
2025-12-04T08:58:53.6034291Z  * [new tag]                 ciflow/inductor/169304      -> ciflow/inductor/169304
2025-12-04T08:58:53.6035355Z  * [new tag]                 ciflow/inductor/169305      -> ciflow/inductor/169305
2025-12-04T08:58:53.6035955Z  * [new tag]                 ciflow/inductor/169308      -> ciflow/inductor/169308
2025-12-04T08:58:53.6036662Z  * [new tag]                 ciflow/inductor/169319      -> ciflow/inductor/169319
2025-12-04T08:58:53.6037364Z  * [new tag]                 ciflow/inductor/169326      -> ciflow/inductor/169326
2025-12-04T08:58:53.6038075Z  * [new tag]                 ciflow/inductor/169332      -> ciflow/inductor/169332
2025-12-04T08:58:53.6038760Z  * [new tag]                 ciflow/inductor/169333      -> ciflow/inductor/169333
2025-12-04T08:58:53.6039794Z  * [new tag]                 ciflow/inductor/169336      -> ciflow/inductor/169336
2025-12-04T08:58:53.6040327Z  * [new tag]                 ciflow/inductor/169340      -> ciflow/inductor/169340
2025-12-04T08:58:53.6041052Z  * [new tag]                 ciflow/inductor/169341      -> ciflow/inductor/169341
2025-12-04T08:58:53.6041914Z  * [new tag]                 ciflow/inductor/169343      -> ciflow/inductor/169343
2025-12-04T08:58:53.6042521Z  * [new tag]                 ciflow/inductor/169346      -> ciflow/inductor/169346
2025-12-04T08:58:53.6043535Z  * [new tag]                 ciflow/inductor/169348      -> ciflow/inductor/169348
2025-12-04T08:58:53.6044242Z  * [new tag]                 ciflow/inductor/169350      -> ciflow/inductor/169350
2025-12-04T08:58:53.6044939Z  * [new tag]                 ciflow/inductor/169355      -> ciflow/inductor/169355
2025-12-04T08:58:53.6045644Z  * [new tag]                 ciflow/inductor/169370      -> ciflow/inductor/169370
2025-12-04T08:58:53.6046762Z  * [new tag]                 ciflow/inductor/169375      -> ciflow/inductor/169375
2025-12-04T08:58:53.6047447Z  * [new tag]                 ciflow/inductor/169389      -> ciflow/inductor/169389
2025-12-04T08:58:53.6048144Z  * [new tag]                 ciflow/inductor/169391      -> ciflow/inductor/169391
2025-12-04T08:58:53.6048850Z  * [new tag]                 ciflow/inductor/169393      -> ciflow/inductor/169393
2025-12-04T08:58:53.6049584Z  * [new tag]                 ciflow/inductor/169399      -> ciflow/inductor/169399
2025-12-04T08:58:53.6050923Z  * [new tag]                 ciflow/inductor/169400      -> ciflow/inductor/169400
2025-12-04T08:58:53.6051459Z  * [new tag]                 ciflow/inductor/169415      -> ciflow/inductor/169415
2025-12-04T08:58:53.6052180Z  * [new tag]                 ciflow/inductor/169417      -> ciflow/inductor/169417
2025-12-04T08:58:53.6052959Z  * [new tag]                 ciflow/inductor/169418      -> ciflow/inductor/169418
2025-12-04T08:58:53.6053878Z  * [new tag]                 ciflow/inductor/169430      -> ciflow/inductor/169430
2025-12-04T08:58:53.6054552Z  * [new tag]                 ciflow/inductor/169432      -> ciflow/inductor/169432
2025-12-04T08:58:53.6055177Z  * [new tag]                 ciflow/inductor/169436      -> ciflow/inductor/169436
2025-12-04T08:58:53.6056088Z  * [new tag]                 ciflow/inductor/169437      -> ciflow/inductor/169437
2025-12-04T08:58:53.6056702Z  * [new tag]                 ciflow/inductor/169438      -> ciflow/inductor/169438
2025-12-04T08:58:53.6057415Z  * [new tag]                 ciflow/inductor/169441      -> ciflow/inductor/169441
2025-12-04T08:58:53.6058096Z  * [new tag]                 ciflow/inductor/169446      -> ciflow/inductor/169446
2025-12-04T08:58:53.6058983Z  * [new tag]                 ciflow/inductor/169447      -> ciflow/inductor/169447
2025-12-04T08:58:53.6059637Z  * [new tag]                 ciflow/inductor/169452      -> ciflow/inductor/169452
2025-12-04T08:58:53.6060405Z  * [new tag]                 ciflow/inductor/169455      -> ciflow/inductor/169455
2025-12-04T08:58:53.6061138Z  * [new tag]                 ciflow/inductor/169459      -> ciflow/inductor/169459
2025-12-04T08:58:53.6061997Z  * [new tag]                 ciflow/inductor/169463      -> ciflow/inductor/169463
2025-12-04T08:58:53.6062982Z  * [new tag]                 ciflow/inductor/169476      -> ciflow/inductor/169476
2025-12-04T08:58:53.6063647Z  * [new tag]                 ciflow/inductor/169485      -> ciflow/inductor/169485
2025-12-04T08:58:53.6064289Z  * [new tag]                 ciflow/inductor/169493      -> ciflow/inductor/169493
2025-12-04T08:58:53.6064986Z  * [new tag]                 ciflow/inductor/169496      -> ciflow/inductor/169496
2025-12-04T08:58:53.6065751Z  * [new tag]                 ciflow/inductor/169497      -> ciflow/inductor/169497
2025-12-04T08:58:53.6066422Z  * [new tag]                 ciflow/inductor/169503      -> ciflow/inductor/169503
2025-12-04T08:58:53.6067124Z  * [new tag]                 ciflow/inductor/169504      -> ciflow/inductor/169504
2025-12-04T08:58:53.6068242Z  * [new tag]                 ciflow/inductor/169505      -> ciflow/inductor/169505
2025-12-04T08:58:53.6069381Z  * [new tag]                 ciflow/inductor/169508      -> ciflow/inductor/169508
2025-12-04T08:58:53.6070003Z  * [new tag]                 ciflow/inductor/169509      -> ciflow/inductor/169509
2025-12-04T08:58:53.6070698Z  * [new tag]                 ciflow/inductor/169513      -> ciflow/inductor/169513
2025-12-04T08:58:53.6071426Z  * [new tag]                 ciflow/inductor/169514      -> ciflow/inductor/169514
2025-12-04T08:58:53.6072149Z  * [new tag]                 ciflow/inductor/169515      -> ciflow/inductor/169515
2025-12-04T08:58:53.6072836Z  * [new tag]                 ciflow/inductor/169517      -> ciflow/inductor/169517
2025-12-04T08:58:53.6073527Z  * [new tag]                 ciflow/inductor/169519      -> ciflow/inductor/169519
2025-12-04T08:58:53.6074261Z  * [new tag]                 ciflow/inductor/169520      -> ciflow/inductor/169520
2025-12-04T08:58:53.6074952Z  * [new tag]                 ciflow/inductor/169521      -> ciflow/inductor/169521
2025-12-04T08:58:53.6075621Z  * [new tag]                 ciflow/inductor/169524      -> ciflow/inductor/169524
2025-12-04T08:58:53.6076340Z  * [new tag]                 ciflow/inductor/169527      -> ciflow/inductor/169527
2025-12-04T08:58:53.6077027Z  * [new tag]                 ciflow/inductor/169528      -> ciflow/inductor/169528
2025-12-04T08:58:53.6077982Z  * [new tag]                 ciflow/inductor/169532      -> ciflow/inductor/169532
2025-12-04T08:58:53.6078572Z  * [new tag]                 ciflow/inductor/169535      -> ciflow/inductor/169535
2025-12-04T08:58:53.6079248Z  * [new tag]                 ciflow/inductor/169536      -> ciflow/inductor/169536
2025-12-04T08:58:53.6079958Z  * [new tag]                 ciflow/inductor/169547      -> ciflow/inductor/169547
2025-12-04T08:58:53.6080734Z  * [new tag]                 ciflow/inductor/169548      -> ciflow/inductor/169548
2025-12-04T08:58:53.6081382Z  * [new tag]                 ciflow/inductor/169549      -> ciflow/inductor/169549
2025-12-04T08:58:53.6082079Z  * [new tag]                 ciflow/inductor/169551      -> ciflow/inductor/169551
2025-12-04T08:58:53.6082779Z  * [new tag]                 ciflow/inductor/169552      -> ciflow/inductor/169552
2025-12-04T08:58:53.6083448Z  * [new tag]                 ciflow/inductor/169553      -> ciflow/inductor/169553
2025-12-04T08:58:53.6084457Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-12-04T08:58:53.6085247Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-12-04T08:58:53.6086206Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-12-04T08:58:53.6087052Z  * [new tag]                 ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994
2025-12-04T08:58:53.6087748Z  * [new tag]                 ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075
2025-12-04T08:58:53.6088383Z  * [new tag]                 ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876
2025-12-04T08:58:53.6089047Z  * [new tag]                 ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981
2025-12-04T08:58:53.6089799Z  * [new tag]                 ciflow/mps/166254           -> ciflow/mps/166254
2025-12-04T08:58:53.6090651Z  * [new tag]                 ciflow/mps/169017           -> ciflow/mps/169017
2025-12-04T08:58:53.6091344Z  * [new tag]                 ciflow/mps/169372           -> ciflow/mps/169372
2025-12-04T08:58:53.6092016Z  * [new tag]                 ciflow/mps/169478           -> ciflow/mps/169478
2025-12-04T08:58:53.6092951Z  * [new tag]                 ciflow/op-benchmark/157994  -> ciflow/op-benchmark/157994
2025-12-04T08:58:53.6093578Z  * [new tag]                 ciflow/op-benchmark/166075  -> ciflow/op-benchmark/166075
2025-12-04T08:58:53.6094205Z  * [new tag]                 ciflow/op-benchmark/169544  -> ciflow/op-benchmark/169544
2025-12-04T08:58:53.6095065Z  * [new tag]                 ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997
2025-12-04T08:58:53.6095806Z  * [new tag]                 ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517
2025-12-04T08:58:53.6096476Z  * [new tag]                 ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063
2025-12-04T08:58:53.6097270Z  * [new tag]                 ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425
2025-12-04T08:58:53.6098637Z  * [new tag]                 ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517
2025-12-04T08:58:53.6099255Z  * [new tag]                 ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063
2025-12-04T08:58:53.6099879Z  * [new tag]                 ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425
2025-12-04T08:58:53.6100903Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-12-04T08:58:53.6101513Z  * [new tag]                 ciflow/periodic/167207      -> ciflow/periodic/167207
2025-12-04T08:58:53.6102242Z  * [new tag]                 ciflow/periodic/167978      -> ciflow/periodic/167978
2025-12-04T08:58:53.6102905Z  * [new tag]                 ciflow/periodic/168096      -> ciflow/periodic/168096
2025-12-04T08:58:53.6103589Z  * [new tag]                 ciflow/periodic/169286      -> ciflow/periodic/169286
2025-12-04T08:58:53.6104564Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-12-04T08:58:53.6105248Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-12-04T08:58:53.6106109Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-12-04T08:58:53.6107035Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-12-04T08:58:53.6108547Z  * [new tag]                 ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9
2025-12-04T08:58:53.6109146Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-12-04T08:58:53.6110293Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-12-04T08:58:53.6111095Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-12-04T08:58:53.6112035Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-12-04T08:58:53.6112997Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-12-04T08:58:53.6113985Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-12-04T08:58:53.6114983Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-12-04T08:58:53.6115673Z  * [new tag]                 ciflow/pull/167207          -> ciflow/pull/167207
2025-12-04T08:58:53.6116818Z  * [new tag]                 ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207
2025-12-04T08:58:53.6117427Z  * [new tag]                 ciflow/rocm-mi200/165545    -> ciflow/rocm-mi200/165545
2025-12-04T08:58:53.6118097Z  * [new tag]                 ciflow/rocm-mi200/165997    -> ciflow/rocm-mi200/165997
2025-12-04T08:58:53.6118760Z  * [new tag]                 ciflow/rocm-mi200/168096    -> ciflow/rocm-mi200/168096
2025-12-04T08:58:53.6119529Z  * [new tag]                 ciflow/rocm-mi200/168275    -> ciflow/rocm-mi200/168275
2025-12-04T08:58:53.6120180Z  * [new tag]                 ciflow/rocm-mi200/169063    -> ciflow/rocm-mi200/169063
2025-12-04T08:58:53.6121074Z  * [new tag]                 ciflow/rocm-mi200/169356    -> ciflow/rocm-mi200/169356
2025-12-04T08:58:53.6121703Z  * [new tag]                 ciflow/rocm-mi200/169425    -> ciflow/rocm-mi200/169425
2025-12-04T08:58:53.6122453Z  * [new tag]                 ciflow/rocm-mi300/165545    -> ciflow/rocm-mi300/165545
2025-12-04T08:58:53.6123343Z  * [new tag]                 ciflow/rocm-mi300/167157    -> ciflow/rocm-mi300/167157
2025-12-04T08:58:53.6123888Z  * [new tag]                 ciflow/rocm-mi300/168096    -> ciflow/rocm-mi300/168096
2025-12-04T08:58:53.6124591Z  * [new tag]                 ciflow/rocm-mi300/169063    -> ciflow/rocm-mi300/169063
2025-12-04T08:58:53.6125248Z  * [new tag]                 ciflow/rocm-mi300/169425    -> ciflow/rocm-mi300/169425
2025-12-04T08:58:53.6126123Z  * [new tag]                 ciflow/rocm-mi355/167157    -> ciflow/rocm-mi355/167157
2025-12-04T08:58:53.6126694Z  * [new tag]                 ciflow/rocm-mi355/168275    -> ciflow/rocm-mi355/168275
2025-12-04T08:58:53.6127417Z  * [new tag]                 ciflow/rocm-mi355/169425    -> ciflow/rocm-mi355/169425
2025-12-04T08:58:53.6128377Z  * [new tag]                 ciflow/rocm-navi31/168275   -> ciflow/rocm-navi31/168275
2025-12-04T08:58:53.6128938Z  * [new tag]                 ciflow/rocm-navi31/169425   -> ciflow/rocm-navi31/169425
2025-12-04T08:58:53.6129713Z  * [new tag]                 ciflow/rocm/115316          -> ciflow/rocm/115316
2025-12-04T08:58:53.6130409Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-12-04T08:58:53.6131056Z  * [new tag]                 ciflow/rocm/160685          -> ciflow/rocm/160685
2025-12-04T08:58:53.6131806Z  * [new tag]                 ciflow/rocm/161607          -> ciflow/rocm/161607
2025-12-04T08:58:53.6132432Z  * [new tag]                 ciflow/rocm/162052          -> ciflow/rocm/162052
2025-12-04T08:58:53.6133056Z  * [new tag]                 ciflow/rocm/165997          -> ciflow/rocm/165997
2025-12-04T08:58:53.6133707Z  * [new tag]                 ciflow/rocm/166165          -> ciflow/rocm/166165
2025-12-04T08:58:53.6134361Z  * [new tag]                 ciflow/rocm/166517          -> ciflow/rocm/166517
2025-12-04T08:58:53.6134996Z  * [new tag]                 ciflow/rocm/167207          -> ciflow/rocm/167207
2025-12-04T08:58:53.6135720Z  * [new tag]                 ciflow/rocm/167536          -> ciflow/rocm/167536
2025-12-04T08:58:53.6136312Z  * [new tag]                 ciflow/rocm/167781          -> ciflow/rocm/167781
2025-12-04T08:58:53.6137279Z  * [new tag]                 ciflow/rocm/167989          -> ciflow/rocm/167989
2025-12-04T08:58:53.6138218Z  * [new tag]                 ciflow/rocm/168073          -> ciflow/rocm/168073
2025-12-04T08:58:53.6138920Z  * [new tag]                 ciflow/rocm/168195          -> ciflow/rocm/168195
2025-12-04T08:58:53.6139645Z  * [new tag]                 ciflow/rocm/168939          -> ciflow/rocm/168939
2025-12-04T08:58:53.6140329Z  * [new tag]                 ciflow/rocm/168971          -> ciflow/rocm/168971
2025-12-04T08:58:53.6141064Z  * [new tag]                 ciflow/rocm/169024          -> ciflow/rocm/169024
2025-12-04T08:58:53.6141690Z  * [new tag]                 ciflow/rocm/169200          -> ciflow/rocm/169200
2025-12-04T08:58:53.6142369Z  * [new tag]                 ciflow/rocm/169216          -> ciflow/rocm/169216
2025-12-04T08:58:53.6143055Z  * [new tag]                 ciflow/rocm/169312          -> ciflow/rocm/169312
2025-12-04T08:58:53.6143739Z  * [new tag]                 ciflow/rocm/169380          -> ciflow/rocm/169380
2025-12-04T08:58:53.6144394Z  * [new tag]                 ciflow/rocm/169427          -> ciflow/rocm/169427
2025-12-04T08:58:53.6145115Z  * [new tag]                 ciflow/rocm/169455          -> ciflow/rocm/169455
2025-12-04T08:58:53.6145776Z  * [new tag]                 ciflow/rocm/169470          -> ciflow/rocm/169470
2025-12-04T08:58:53.6146486Z  * [new tag]                 ciflow/rocm/169471          -> ciflow/rocm/169471
2025-12-04T08:58:53.6147127Z  * [new tag]                 ciflow/rocm/169472          -> ciflow/rocm/169472
2025-12-04T08:58:53.6147824Z  * [new tag]                 ciflow/rocm/169514          -> ciflow/rocm/169514
2025-12-04T08:58:53.6148867Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-12-04T08:58:53.6149611Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-12-04T08:58:53.6150931Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-12-04T08:58:53.6151351Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-12-04T08:58:53.6152007Z  * [new tag]                 ciflow/slow/167207          -> ciflow/slow/167207
2025-12-04T08:58:53.6152670Z  * [new tag]                 ciflow/slow/168050          -> ciflow/slow/168050
2025-12-04T08:58:53.6153545Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-12-04T08:58:53.6154513Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-12-04T08:58:53.6155607Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-12-04T08:58:53.6156742Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-12-04T08:58:53.6157649Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-12-04T08:58:53.6158534Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-12-04T08:58:53.6159265Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-12-04T08:58:53.6160189Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-12-04T08:58:53.6161478Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-12-04T08:58:53.6161879Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-12-04T08:58:53.6162789Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-12-04T08:58:53.6163548Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-12-04T08:58:53.6164554Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-12-04T08:58:53.6165299Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-12-04T08:58:53.6166653Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-12-04T08:58:53.6167162Z  * [new tag]                 ciflow/torchbench/168175    -> ciflow/torchbench/168175
2025-12-04T08:58:53.6168056Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-12-04T08:58:53.6168611Z  * [new tag]                 ciflow/trunk/157149         -> ciflow/trunk/157149
2025-12-04T08:58:53.6169294Z  * [new tag]                 ciflow/trunk/157994         -> ciflow/trunk/157994
2025-12-04T08:58:53.6169947Z  * [new tag]                 ciflow/trunk/159718         -> ciflow/trunk/159718
2025-12-04T08:58:53.6170584Z  * [new tag]                 ciflow/trunk/160685         -> ciflow/trunk/160685
2025-12-04T08:58:53.6171249Z  * [new tag]                 ciflow/trunk/160729         -> ciflow/trunk/160729
2025-12-04T08:58:53.6171918Z  * [new tag]                 ciflow/trunk/162275         -> ciflow/trunk/162275
2025-12-04T08:58:53.6172570Z  * [new tag]                 ciflow/trunk/162795         -> ciflow/trunk/162795
2025-12-04T08:58:53.6173734Z  * [new tag]                 ciflow/trunk/163245         -> ciflow/trunk/163245
2025-12-04T08:58:53.6174263Z  * [new tag]                 ciflow/trunk/163942         -> ciflow/trunk/163942
2025-12-04T08:58:53.6174954Z  * [new tag]                 ciflow/trunk/165274         -> ciflow/trunk/165274
2025-12-04T08:58:53.6176093Z  * [new tag]                 ciflow/trunk/165483         -> ciflow/trunk/165483
2025-12-04T08:58:53.6177000Z  * [new tag]                 ciflow/trunk/165728         -> ciflow/trunk/165728
2025-12-04T08:58:53.6177765Z  * [new tag]                 ciflow/trunk/165922         -> ciflow/trunk/165922
2025-12-04T08:58:53.6178480Z  * [new tag]                 ciflow/trunk/166075         -> ciflow/trunk/166075
2025-12-04T08:58:53.6179346Z  * [new tag]                 ciflow/trunk/166165         -> ciflow/trunk/166165
2025-12-04T08:58:53.6179936Z  * [new tag]                 ciflow/trunk/166829         -> ciflow/trunk/166829
2025-12-04T08:58:53.6180889Z  * [new tag]                 ciflow/trunk/166843         -> ciflow/trunk/166843
2025-12-04T08:58:53.6181470Z  * [new tag]                 ciflow/trunk/166876         -> ciflow/trunk/166876
2025-12-04T08:58:53.6182178Z  * [new tag]                 ciflow/trunk/167207         -> ciflow/trunk/167207
2025-12-04T08:58:53.6182892Z  * [new tag]                 ciflow/trunk/167536         -> ciflow/trunk/167536
2025-12-04T08:58:53.6183575Z  * [new tag]                 ciflow/trunk/167552         -> ciflow/trunk/167552
2025-12-04T08:58:53.6184288Z  * [new tag]                 ciflow/trunk/167555         -> ciflow/trunk/167555
2025-12-04T08:58:53.6184945Z  * [new tag]                 ciflow/trunk/167599         -> ciflow/trunk/167599
2025-12-04T08:58:53.6185636Z  * [new tag]                 ciflow/trunk/167659         -> ciflow/trunk/167659
2025-12-04T08:58:53.6186574Z  * [new tag]                 ciflow/trunk/167672         -> ciflow/trunk/167672
2025-12-04T08:58:53.6187213Z  * [new tag]                 ciflow/trunk/167742         -> ciflow/trunk/167742
2025-12-04T08:58:53.6187917Z  * [new tag]                 ciflow/trunk/167781         -> ciflow/trunk/167781
2025-12-04T08:58:53.6188857Z  * [new tag]                 ciflow/trunk/167837         -> ciflow/trunk/167837
2025-12-04T08:58:53.6189507Z  * [new tag]                 ciflow/trunk/167887         -> ciflow/trunk/167887
2025-12-04T08:58:53.6190164Z  * [new tag]                 ciflow/trunk/167978         -> ciflow/trunk/167978
2025-12-04T08:58:53.6190831Z  * [new tag]                 ciflow/trunk/168050         -> ciflow/trunk/168050
2025-12-04T08:58:53.6191544Z  * [new tag]                 ciflow/trunk/168051         -> ciflow/trunk/168051
2025-12-04T08:58:53.6192273Z  * [new tag]                 ciflow/trunk/168096         -> ciflow/trunk/168096
2025-12-04T08:58:53.6192918Z  * [new tag]                 ciflow/trunk/168127         -> ciflow/trunk/168127
2025-12-04T08:58:53.6193591Z  * [new tag]                 ciflow/trunk/168157         -> ciflow/trunk/168157
2025-12-04T08:58:53.6194276Z  * [new tag]                 ciflow/trunk/168175         -> ciflow/trunk/168175
2025-12-04T08:58:53.6194961Z  * [new tag]                 ciflow/trunk/168209         -> ciflow/trunk/168209
2025-12-04T08:58:53.6195849Z  * [new tag]                 ciflow/trunk/168213         -> ciflow/trunk/168213
2025-12-04T08:58:53.6196711Z  * [new tag]                 ciflow/trunk/168226         -> ciflow/trunk/168226
2025-12-04T08:58:53.6197480Z  * [new tag]                 ciflow/trunk/168262         -> ciflow/trunk/168262
2025-12-04T08:58:53.6198169Z  * [new tag]                 ciflow/trunk/168275         -> ciflow/trunk/168275
2025-12-04T08:58:53.6199063Z  * [new tag]                 ciflow/trunk/168328         -> ciflow/trunk/168328
2025-12-04T08:58:53.6199622Z  * [new tag]                 ciflow/trunk/168368         -> ciflow/trunk/168368
2025-12-04T08:58:53.6200364Z  * [new tag]                 ciflow/trunk/168917         -> ciflow/trunk/168917
2025-12-04T08:58:53.6201051Z  * [new tag]                 ciflow/trunk/168933         -> ciflow/trunk/168933
2025-12-04T08:58:53.6201957Z  * [new tag]                 ciflow/trunk/168941         -> ciflow/trunk/168941
2025-12-04T08:58:53.6202652Z  * [new tag]                 ciflow/trunk/168955         -> ciflow/trunk/168955
2025-12-04T08:58:53.6203371Z  * [new tag]                 ciflow/trunk/168980         -> ciflow/trunk/168980
2025-12-04T08:58:53.6204299Z  * [new tag]                 ciflow/trunk/169004         -> ciflow/trunk/169004
2025-12-04T08:58:53.6204925Z  * [new tag]                 ciflow/trunk/169006         -> ciflow/trunk/169006
2025-12-04T08:58:53.6205642Z  * [new tag]                 ciflow/trunk/169023         -> ciflow/trunk/169023
2025-12-04T08:58:53.6206339Z  * [new tag]                 ciflow/trunk/169025         -> ciflow/trunk/169025
2025-12-04T08:58:53.6207100Z  * [new tag]                 ciflow/trunk/169048         -> ciflow/trunk/169048
2025-12-04T08:58:53.6207945Z  * [new tag]                 ciflow/trunk/169066         -> ciflow/trunk/169066
2025-12-04T08:58:53.6208690Z  * [new tag]                 ciflow/trunk/169091         -> ciflow/trunk/169091
2025-12-04T08:58:53.6209295Z  * [new tag]                 ciflow/trunk/169102         -> ciflow/trunk/169102
2025-12-04T08:58:53.6209978Z  * [new tag]                 ciflow/trunk/169103         -> ciflow/trunk/169103
2025-12-04T08:58:53.6210869Z  * [new tag]                 ciflow/trunk/169125         -> ciflow/trunk/169125
2025-12-04T08:58:53.6211581Z  * [new tag]                 ciflow/trunk/169139         -> ciflow/trunk/169139
2025-12-04T08:58:53.6212454Z  * [new tag]                 ciflow/trunk/169148         -> ciflow/trunk/169148
2025-12-04T08:58:53.6213082Z  * [new tag]                 ciflow/trunk/169151         -> ciflow/trunk/169151
2025-12-04T08:58:53.6213767Z  * [new tag]                 ciflow/trunk/169156         -> ciflow/trunk/169156
2025-12-04T08:58:53.6214655Z  * [new tag]                 ciflow/trunk/169176         -> ciflow/trunk/169176
2025-12-04T08:58:53.6215306Z  * [new tag]                 ciflow/trunk/169204         -> ciflow/trunk/169204
2025-12-04T08:58:53.6215985Z  * [new tag]                 ciflow/trunk/169207         -> ciflow/trunk/169207
2025-12-04T08:58:53.6216724Z  * [new tag]                 ciflow/trunk/169211         -> ciflow/trunk/169211
2025-12-04T08:58:53.6217563Z  * [new tag]                 ciflow/trunk/169229         -> ciflow/trunk/169229
2025-12-04T08:58:53.6218581Z  * [new tag]                 ciflow/trunk/169231         -> ciflow/trunk/169231
2025-12-04T08:58:53.6219241Z  * [new tag]                 ciflow/trunk/169260         -> ciflow/trunk/169260
2025-12-04T08:58:53.6220301Z  * [new tag]                 ciflow/trunk/169271         -> ciflow/trunk/169271
2025-12-04T08:58:53.6221023Z  * [new tag]                 ciflow/trunk/169280         -> ciflow/trunk/169280
2025-12-04T08:58:53.6222127Z  * [new tag]                 ciflow/trunk/169281         -> ciflow/trunk/169281
2025-12-04T08:58:53.6222746Z  * [new tag]                 ciflow/trunk/169286         -> ciflow/trunk/169286
2025-12-04T08:58:53.6223696Z  * [new tag]                 ciflow/trunk/169293         -> ciflow/trunk/169293
2025-12-04T08:58:53.6224260Z  * [new tag]                 ciflow/trunk/169296         -> ciflow/trunk/169296
2025-12-04T08:58:53.6224996Z  * [new tag]                 ciflow/trunk/169304         -> ciflow/trunk/169304
2025-12-04T08:58:53.6225709Z  * [new tag]                 ciflow/trunk/169305         -> ciflow/trunk/169305
2025-12-04T08:58:53.6226407Z  * [new tag]                 ciflow/trunk/169312         -> ciflow/trunk/169312
2025-12-04T08:58:53.6227575Z  * [new tag]                 ciflow/trunk/169328         -> ciflow/trunk/169328
2025-12-04T08:58:53.6228210Z  * [new tag]                 ciflow/trunk/169343         -> ciflow/trunk/169343
2025-12-04T08:58:53.6228900Z  * [new tag]                 ciflow/trunk/169355         -> ciflow/trunk/169355
2025-12-04T08:58:53.6229589Z  * [new tag]                 ciflow/trunk/169370         -> ciflow/trunk/169370
2025-12-04T08:58:53.6230518Z  * [new tag]                 ciflow/trunk/169379         -> ciflow/trunk/169379
2025-12-04T08:58:53.6231100Z  * [new tag]                 ciflow/trunk/169380         -> ciflow/trunk/169380
2025-12-04T08:58:53.6232129Z  * [new tag]                 ciflow/trunk/169385         -> ciflow/trunk/169385
2025-12-04T08:58:53.6232775Z  * [new tag]                 ciflow/trunk/169387         -> ciflow/trunk/169387
2025-12-04T08:58:53.6233615Z  * [new tag]                 ciflow/trunk/169410         -> ciflow/trunk/169410
2025-12-04T08:58:53.6234271Z  * [new tag]                 ciflow/trunk/169412         -> ciflow/trunk/169412
2025-12-04T08:58:53.6234971Z  * [new tag]                 ciflow/trunk/169418         -> ciflow/trunk/169418
2025-12-04T08:58:53.6235695Z  * [new tag]                 ciflow/trunk/169423         -> ciflow/trunk/169423
2025-12-04T08:58:53.6236338Z  * [new tag]                 ciflow/trunk/169427         -> ciflow/trunk/169427
2025-12-04T08:58:53.6237031Z  * [new tag]                 ciflow/trunk/169430         -> ciflow/trunk/169430
2025-12-04T08:58:53.6237757Z  * [new tag]                 ciflow/trunk/169437         -> ciflow/trunk/169437
2025-12-04T08:58:53.6238441Z  * [new tag]                 ciflow/trunk/169442         -> ciflow/trunk/169442
2025-12-04T08:58:53.6239127Z  * [new tag]                 ciflow/trunk/169452         -> ciflow/trunk/169452
2025-12-04T08:58:53.6239832Z  * [new tag]                 ciflow/trunk/169454         -> ciflow/trunk/169454
2025-12-04T08:58:53.6240536Z  * [new tag]                 ciflow/trunk/169459         -> ciflow/trunk/169459
2025-12-04T08:58:53.6241481Z  * [new tag]                 ciflow/trunk/169474         -> ciflow/trunk/169474
2025-12-04T08:58:53.6242022Z  * [new tag]                 ciflow/trunk/169475         -> ciflow/trunk/169475
2025-12-04T08:58:53.6242766Z  * [new tag]                 ciflow/trunk/169476         -> ciflow/trunk/169476
2025-12-04T08:58:53.6243632Z  * [new tag]                 ciflow/trunk/169487         -> ciflow/trunk/169487
2025-12-04T08:58:53.6244276Z  * [new tag]                 ciflow/trunk/169497         -> ciflow/trunk/169497
2025-12-04T08:58:53.6244973Z  * [new tag]                 ciflow/trunk/169503         -> ciflow/trunk/169503
2025-12-04T08:58:53.6245670Z  * [new tag]                 ciflow/trunk/169505         -> ciflow/trunk/169505
2025-12-04T08:58:53.6246362Z  * [new tag]                 ciflow/trunk/169507         -> ciflow/trunk/169507
2025-12-04T08:58:53.6247114Z  * [new tag]                 ciflow/trunk/169514         -> ciflow/trunk/169514
2025-12-04T08:58:53.6247854Z  * [new tag]                 ciflow/trunk/169517         -> ciflow/trunk/169517
2025-12-04T08:58:53.6248604Z  * [new tag]                 ciflow/trunk/169519         -> ciflow/trunk/169519
2025-12-04T08:58:53.6249254Z  * [new tag]                 ciflow/trunk/169528         -> ciflow/trunk/169528
2025-12-04T08:58:53.6249958Z  * [new tag]                 ciflow/trunk/169541         -> ciflow/trunk/169541
2025-12-04T08:58:53.6250972Z  * [new tag]                 ciflow/trunk/169555         -> ciflow/trunk/169555
2025-12-04T08:58:53.6252019Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-12-04T08:58:53.6252710Z  * [new tag]                 ciflow/vllm/165270          -> ciflow/vllm/165270
2025-12-04T08:58:53.6253370Z  * [new tag]                 ciflow/vllm/165274          -> ciflow/vllm/165274
2025-12-04T08:58:53.6254009Z  * [new tag]                 ciflow/vllm/166494          -> ciflow/vllm/166494
2025-12-04T08:58:53.6254659Z  * [new tag]                 ciflow/vllm/169219          -> ciflow/vllm/169219
2025-12-04T08:58:53.6255323Z  * [new tag]                 ciflow/vllm/169220          -> ciflow/vllm/169220
2025-12-04T08:58:53.6256162Z  * [new tag]                 ciflow/xpu/157994           -> ciflow/xpu/157994
2025-12-04T08:58:53.6256792Z  * [new tag]                 ciflow/xpu/159718           -> ciflow/xpu/159718
2025-12-04T08:58:53.6257391Z  * [new tag]                 ciflow/xpu/161940           -> ciflow/xpu/161940
2025-12-04T08:58:53.6258236Z  * [new tag]                 ciflow/xpu/163251           -> ciflow/xpu/163251
2025-12-04T08:58:53.6258759Z  * [new tag]                 ciflow/xpu/166829           -> ciflow/xpu/166829
2025-12-04T08:58:53.6259468Z  * [new tag]                 ciflow/xpu/166843           -> ciflow/xpu/166843
2025-12-04T08:58:53.6260104Z  * [new tag]                 ciflow/xpu/167972           -> ciflow/xpu/167972
2025-12-04T08:58:53.6260775Z  * [new tag]                 ciflow/xpu/167981           -> ciflow/xpu/167981
2025-12-04T08:58:53.6261391Z  * [new tag]                 ciflow/xpu/168213           -> ciflow/xpu/168213
2025-12-04T08:58:53.6262086Z  * [new tag]                 ciflow/xpu/168262           -> ciflow/xpu/168262
2025-12-04T08:58:53.6263293Z  * [new tag]                 ciflow/xpu/168328           -> ciflow/xpu/168328
2025-12-04T08:58:53.6264180Z  * [new tag]                 ciflow/xpu/168950           -> ciflow/xpu/168950
2025-12-04T08:58:53.6265283Z  * [new tag]                 ciflow/xpu/169039           -> ciflow/xpu/169039
2025-12-04T08:58:53.6266024Z  * [new tag]                 ciflow/xpu/169200           -> ciflow/xpu/169200
2025-12-04T08:58:53.6266724Z  * [new tag]                 ciflow/xpu/169203           -> ciflow/xpu/169203
2025-12-04T08:58:53.6267441Z  * [new tag]                 ciflow/xpu/169229           -> ciflow/xpu/169229
2025-12-04T08:58:53.6268112Z  * [new tag]                 ciflow/xpu/169230           -> ciflow/xpu/169230
2025-12-04T08:58:53.6268816Z  * [new tag]                 ciflow/xpu/169231           -> ciflow/xpu/169231
2025-12-04T08:58:53.6269696Z  * [new tag]                 ciflow/xpu/169241           -> ciflow/xpu/169241
2025-12-04T08:58:53.6270377Z  * [new tag]                 ciflow/xpu/169280           -> ciflow/xpu/169280
2025-12-04T08:58:53.6271029Z  * [new tag]                 ciflow/xpu/169296           -> ciflow/xpu/169296
2025-12-04T08:58:53.6271986Z  * [new tag]                 ciflow/xpu/169353           -> ciflow/xpu/169353
2025-12-04T08:58:53.6272676Z  * [new tag]                 ciflow/xpu/169410           -> ciflow/xpu/169410
2025-12-04T08:58:53.6273407Z  * [new tag]                 ciflow/xpu/169442           -> ciflow/xpu/169442
2025-12-04T08:58:53.6274121Z  * [new tag]                 ciflow/xpu/169555           -> ciflow/xpu/169555
2025-12-04T08:58:53.6274994Z  * [new tag]                 cslpull75                   -> cslpull75
2025-12-04T08:58:53.6275659Z  * [new tag]                 cslpull76                   -> cslpull76
2025-12-04T08:58:53.6276510Z  * [new tag]                 cslpull77                   -> cslpull77
2025-12-04T08:58:53.6277156Z  * [new tag]                 cslpull78                   -> cslpull78
2025-12-04T08:58:53.6278269Z  * [new tag]                 cslpull79                   -> cslpull79
2025-12-04T08:58:53.6279214Z  * [new tag]                 cslpull80                   -> cslpull80
2025-12-04T08:58:53.6280110Z  * [new tag]                 cslpull81                   -> cslpull81
2025-12-04T08:58:53.6280746Z  * [new tag]                 cslpull82                   -> cslpull82
2025-12-04T08:58:53.6281661Z  * [new tag]                 cslpull83                   -> cslpull83
2025-12-04T08:58:53.6282343Z  * [new tag]                 cslpull84                   -> cslpull84
2025-12-04T08:58:53.6283239Z  * [new tag]                 cslpull85                   -> cslpull85
2025-12-04T08:58:53.6283920Z  * [new tag]                 cslpull86                   -> cslpull86
2025-12-04T08:58:53.6284856Z  * [new tag]                 cslpull87                   -> cslpull87
2025-12-04T08:58:53.6285721Z  * [new tag]                 cslpull88                   -> cslpull88
2025-12-04T08:58:53.6286422Z  * [new tag]                 cslpull89                   -> cslpull89
2025-12-04T08:58:53.6287059Z  * [new tag]                 cslpull90                   -> cslpull90
2025-12-04T08:58:53.6288465Z  * [new tag]                 cslpull91                   -> cslpull91
2025-12-04T08:58:53.6289120Z  * [new tag]                 cslpull92                   -> cslpull92
2025-12-04T08:58:53.6290086Z  * [new tag]                 flight_5                    -> flight_5
2025-12-04T08:58:53.6291034Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-12-04T08:58:53.6291767Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-12-04T08:58:53.6292684Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-12-04T08:58:53.6293493Z  * [new tag]                 forpull1                    -> forpull1
2025-12-04T08:58:53.6294474Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-12-04T08:58:53.6295213Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-12-04T08:58:53.6296100Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-12-04T08:58:53.6297093Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-12-04T08:58:53.6297856Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-12-04T08:58:53.6298932Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-12-04T08:58:53.6300130Z  * [new tag]                 trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272
2025-12-04T08:58:53.6300991Z  * [new tag]                 trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e
2025-12-04T08:58:53.6302049Z  * [new tag]                 trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88
2025-12-04T08:58:53.6303029Z  * [new tag]                 trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654
2025-12-04T08:58:53.6303870Z  * [new tag]                 trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb
2025-12-04T08:58:53.6304702Z  * [new tag]                 trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b
2025-12-04T08:58:53.6305528Z  * [new tag]                 trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672
2025-12-04T08:58:53.6306389Z  * [new tag]                 trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75
2025-12-04T08:58:53.6307504Z  * [new tag]                 trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2
2025-12-04T08:58:53.6308228Z  * [new tag]                 trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5
2025-12-04T08:58:53.6309195Z  * [new tag]                 trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688
2025-12-04T08:58:53.6310003Z  * [new tag]                 trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10
2025-12-04T08:58:53.6310853Z  * [new tag]                 trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec
2025-12-04T08:58:53.6311666Z  * [new tag]                 trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f
2025-12-04T08:58:53.6312859Z  * [new tag]                 trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11
2025-12-04T08:58:53.6313542Z  * [new tag]                 trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63
2025-12-04T08:58:53.6314372Z  * [new tag]                 trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5
2025-12-04T08:58:53.6315166Z  * [new tag]                 trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676
2025-12-04T08:58:53.6315981Z  * [new tag]                 trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e
2025-12-04T08:58:53.6316797Z  * [new tag]                 trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520
2025-12-04T08:58:53.6317657Z  * [new tag]                 trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8
2025-12-04T08:58:53.6318562Z  * [new tag]                 trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c
2025-12-04T08:58:53.6319247Z  * [new tag]                 trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d
2025-12-04T08:58:53.6320079Z  * [new tag]                 trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8
2025-12-04T08:58:53.6320969Z  * [new tag]                 trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de
2025-12-04T08:58:53.6321829Z  * [new tag]                 trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543
2025-12-04T08:58:53.6322641Z  * [new tag]                 trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7
2025-12-04T08:58:53.6323462Z  * [new tag]                 trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f
2025-12-04T08:58:53.6325050Z  * [new tag]                 trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9
2025-12-04T08:58:53.6327568Z  * [new tag]                 trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87
2025-12-04T08:58:53.6327973Z  * [new tag]                 trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc
2025-12-04T08:58:53.6328371Z  * [new tag]                 trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25
2025-12-04T08:58:53.6328776Z  * [new tag]                 trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563
2025-12-04T08:58:53.6329273Z  * [new tag]                 trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf
2025-12-04T08:58:53.6329704Z  * [new tag]                 trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd
2025-12-04T08:58:53.6330552Z  * [new tag]                 trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1
2025-12-04T08:58:53.6331455Z  * [new tag]                 trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708
2025-12-04T08:58:53.6332365Z  * [new tag]                 trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35
2025-12-04T08:58:53.6333174Z  * [new tag]                 trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec
2025-12-04T08:58:53.6334136Z  * [new tag]                 trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94
2025-12-04T08:58:53.6335002Z  * [new tag]                 trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1
2025-12-04T08:58:53.6335850Z  * [new tag]                 trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48
2025-12-04T08:58:53.6336668Z  * [new tag]                 trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991
2025-12-04T08:58:53.6337516Z  * [new tag]                 trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8
2025-12-04T08:58:53.6338322Z  * [new tag]                 trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf
2025-12-04T08:58:53.6339148Z  * [new tag]                 trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee
2025-12-04T08:58:53.6340052Z  * [new tag]                 trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938
2025-12-04T08:58:53.6340728Z  * [new tag]                 trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725
2025-12-04T08:58:53.6341591Z  * [new tag]                 trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae
2025-12-04T08:58:53.6342434Z  * [new tag]                 trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f
2025-12-04T08:58:53.6343277Z  * [new tag]                 trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c
2025-12-04T08:58:53.6344148Z  * [new tag]                 trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247
2025-12-04T08:58:53.6344996Z  * [new tag]                 trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c
2025-12-04T08:58:53.6345767Z  * [new tag]                 trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a
2025-12-04T08:58:53.6346509Z  * [new tag]                 trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686
2025-12-04T08:58:53.6347735Z  * [new tag]                 trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54
2025-12-04T08:58:53.6348438Z  * [new tag]                 trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af
2025-12-04T08:58:53.6349300Z  * [new tag]                 trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96
2025-12-04T08:58:53.6350113Z  * [new tag]                 trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873
2025-12-04T08:58:53.6350947Z  * [new tag]                 trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985
2025-12-04T08:58:53.6351658Z  * [new tag]                 trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f
2025-12-04T08:58:53.6352752Z  * [new tag]                 trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa
2025-12-04T08:58:53.6353577Z  * [new tag]                 trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c
2025-12-04T08:58:53.6355111Z  * [new tag]                 trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a
2025-12-04T08:58:53.6355741Z  * [new tag]                 trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d
2025-12-04T08:58:53.6356600Z  * [new tag]                 trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9
2025-12-04T08:58:53.6357413Z  * [new tag]                 trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3
2025-12-04T08:58:53.6358332Z  * [new tag]                 trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a
2025-12-04T08:58:53.6359212Z  * [new tag]                 trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292
2025-12-04T08:58:53.6360039Z  * [new tag]                 trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28
2025-12-04T08:58:53.6360921Z  * [new tag]                 trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66
2025-12-04T08:58:53.6361747Z  * [new tag]                 trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96
2025-12-04T08:58:53.6362465Z  * [new tag]                 trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc
2025-12-04T08:58:53.6363366Z  * [new tag]                 trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068
2025-12-04T08:58:53.6364213Z  * [new tag]                 trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd
2025-12-04T08:58:53.6364919Z  * [new tag]                 trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6
2025-12-04T08:58:53.6365886Z  * [new tag]                 trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883
2025-12-04T08:58:53.6366719Z  * [new tag]                 trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c
2025-12-04T08:58:53.6367737Z  * [new tag]                 trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b
2025-12-04T08:58:53.6368412Z  * [new tag]                 trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c
2025-12-04T08:58:53.6369206Z  * [new tag]                 trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202
2025-12-04T08:58:53.6370156Z  * [new tag]                 trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447
2025-12-04T08:58:53.6371056Z  * [new tag]                 trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef
2025-12-04T08:58:53.6371911Z  * [new tag]                 trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719
2025-12-04T08:58:53.6372767Z  * [new tag]                 trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b
2025-12-04T08:58:53.6373568Z  * [new tag]                 trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a
2025-12-04T08:58:53.6374473Z  * [new tag]                 trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206
2025-12-04T08:58:53.6375266Z  * [new tag]                 trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386
2025-12-04T08:58:53.6376087Z  * [new tag]                 trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4
2025-12-04T08:58:53.6377030Z  * [new tag]                 trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d
2025-12-04T08:58:53.6377803Z  * [new tag]                 trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b
2025-12-04T08:58:53.6378638Z  * [new tag]                 trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5
2025-12-04T08:58:53.6379995Z  * [new tag]                 trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8
2025-12-04T08:58:53.6380766Z  * [new tag]                 trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec
2025-12-04T08:58:53.6381691Z  * [new tag]                 trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71
2025-12-04T08:58:53.6382579Z  * [new tag]                 trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d
2025-12-04T08:58:53.6383434Z  * [new tag]                 trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a
2025-12-04T08:58:53.6384359Z  * [new tag]                 trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e
2025-12-04T08:58:53.6385166Z  * [new tag]                 trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8
2025-12-04T08:58:53.6386000Z  * [new tag]                 trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485
2025-12-04T08:58:53.6386808Z  * [new tag]                 trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734
2025-12-04T08:58:53.6387725Z  * [new tag]                 trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f
2025-12-04T08:58:53.6388576Z  * [new tag]                 trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696
2025-12-04T08:58:53.6389421Z  * [new tag]                 trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03
2025-12-04T08:58:53.6390315Z  * [new tag]                 trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6
2025-12-04T08:58:53.6391192Z  * [new tag]                 trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7
2025-12-04T08:58:53.6391872Z  * [new tag]                 trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3
2025-12-04T08:58:53.6392784Z  * [new tag]                 trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca
2025-12-04T08:58:53.6393618Z  * [new tag]                 trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b
2025-12-04T08:58:53.6394452Z  * [new tag]                 trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609
2025-12-04T08:58:53.6395348Z  * [new tag]                 trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b
2025-12-04T08:58:53.6396026Z  * [new tag]                 trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9
2025-12-04T08:58:53.6396869Z  * [new tag]                 trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8
2025-12-04T08:58:53.6401437Z  * [new tag]                 trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed
2025-12-04T08:58:53.6402231Z  * [new tag]                 trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8
2025-12-04T08:58:53.6403185Z  * [new tag]                 trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e
2025-12-04T08:58:53.6403800Z  * [new tag]                 trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead
2025-12-04T08:58:53.6404636Z  * [new tag]                 trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718
2025-12-04T08:58:53.6405836Z  * [new tag]                 trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0
2025-12-04T08:58:53.6407019Z  * [new tag]                 trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75
2025-12-04T08:58:53.6407793Z  * [new tag]                 trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece
2025-12-04T08:58:53.6408514Z  * [new tag]                 trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6
2025-12-04T08:58:53.6409679Z  * [new tag]                 trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4
2025-12-04T08:58:53.6410384Z  * [new tag]                 trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c
2025-12-04T08:58:53.6411264Z  * [new tag]                 trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43
2025-12-04T08:58:53.6412101Z  * [new tag]                 trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922
2025-12-04T08:58:53.6413073Z  * [new tag]                 trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca
2025-12-04T08:58:53.6413925Z  * [new tag]                 trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38
2025-12-04T08:58:53.6414653Z  * [new tag]                 trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90
2025-12-04T08:58:53.6415370Z  * [new tag]                 trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c
2025-12-04T08:58:53.6416274Z  * [new tag]                 trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87
2025-12-04T08:58:53.6417094Z  * [new tag]                 trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693
2025-12-04T08:58:53.6417975Z  * [new tag]                 trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa
2025-12-04T08:58:53.6418820Z  * [new tag]                 trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d
2025-12-04T08:58:53.6424374Z  * [new tag]                 trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639
2025-12-04T08:58:53.6424961Z  * [new tag]                 trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8
2025-12-04T08:58:53.6425369Z  * [new tag]                 trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d
2025-12-04T08:58:53.6425782Z  * [new tag]                 trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a
2025-12-04T08:58:53.6426168Z  * [new tag]                 trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742
2025-12-04T08:58:53.6426559Z  * [new tag]                 trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098
2025-12-04T08:58:53.6426979Z  * [new tag]                 trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa
2025-12-04T08:58:53.6427374Z  * [new tag]                 trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d
2025-12-04T08:58:53.6427847Z  * [new tag]                 trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c
2025-12-04T08:58:53.6428243Z  * [new tag]                 trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90
2025-12-04T08:58:53.6428641Z  * [new tag]                 trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c
2025-12-04T08:58:53.6429186Z  * [new tag]                 trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45
2025-12-04T08:58:53.6430061Z  * [new tag]                 trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109
2025-12-04T08:58:53.6430920Z  * [new tag]                 trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e
2025-12-04T08:58:53.6431818Z  * [new tag]                 trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e
2025-12-04T08:58:53.6432551Z  * [new tag]                 trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e
2025-12-04T08:58:53.6433225Z  * [new tag]                 trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48
2025-12-04T08:58:53.6434088Z  * [new tag]                 trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62
2025-12-04T08:58:53.6434993Z  * [new tag]                 trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2
2025-12-04T08:58:53.6435839Z  * [new tag]                 trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99
2025-12-04T08:58:53.6436733Z  * [new tag]                 trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24
2025-12-04T08:58:53.6437603Z  * [new tag]                 trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7
2025-12-04T08:58:53.6439067Z  * [new tag]                 trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a
2025-12-04T08:58:53.6439837Z  * [new tag]                 trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417
2025-12-04T08:58:53.6441043Z  * [new tag]                 trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4
2025-12-04T08:58:53.6441753Z  * [new tag]                 trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b
2025-12-04T08:58:53.6442709Z  * [new tag]                 trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e
2025-12-04T08:58:53.6443572Z  * [new tag]                 trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf
2025-12-04T08:58:53.6444389Z  * [new tag]                 trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5
2025-12-04T08:58:53.6445318Z  * [new tag]                 trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f
2025-12-04T08:58:53.6446188Z  * [new tag]                 trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f
2025-12-04T08:58:53.6447098Z  * [new tag]                 trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2
2025-12-04T08:58:53.6448029Z  * [new tag]                 trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55
2025-12-04T08:58:53.6449201Z  * [new tag]                 trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8
2025-12-04T08:58:53.6450056Z  * [new tag]                 trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09
2025-12-04T08:58:53.6450876Z  * [new tag]                 trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5
2025-12-04T08:58:53.6452098Z  * [new tag]                 trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564
2025-12-04T08:58:53.6452905Z  * [new tag]                 trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede
2025-12-04T08:58:53.6453820Z  * [new tag]                 trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac
2025-12-04T08:58:53.6454685Z  * [new tag]                 trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb
2025-12-04T08:58:53.6455414Z  * [new tag]                 trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1
2025-12-04T08:58:53.6456572Z  * [new tag]                 trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0
2025-12-04T08:58:53.6457456Z  * [new tag]                 trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09
2025-12-04T08:58:53.6458245Z  * [new tag]                 trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9
2025-12-04T08:58:53.6459113Z  * [new tag]                 trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a
2025-12-04T08:58:53.6460023Z  * [new tag]                 trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace
2025-12-04T08:58:53.6460809Z  * [new tag]                 trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39
2025-12-04T08:58:53.6461691Z  * [new tag]                 trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50
2025-12-04T08:58:53.6462567Z  * [new tag]                 trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01
2025-12-04T08:58:53.6463517Z  * [new tag]                 trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf
2025-12-04T08:58:53.6464383Z  * [new tag]                 trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8
2025-12-04T08:58:53.6465179Z  * [new tag]                 trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d
2025-12-04T08:58:53.6466044Z  * [new tag]                 trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47
2025-12-04T08:58:53.6466905Z  * [new tag]                 trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1
2025-12-04T08:58:53.6467779Z  * [new tag]                 trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e
2025-12-04T08:58:53.6468631Z  * [new tag]                 trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a
2025-12-04T08:58:53.6469593Z  * [new tag]                 trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b
2025-12-04T08:58:53.6470461Z  * [new tag]                 trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec
2025-12-04T08:58:53.6471338Z  * [new tag]                 trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf
2025-12-04T08:58:53.6472130Z  * [new tag]                 trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd
2025-12-04T08:58:53.6473069Z  * [new tag]                 trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889
2025-12-04T08:58:53.6473982Z  * [new tag]                 trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77
2025-12-04T08:58:53.6475209Z  * [new tag]                 trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c
2025-12-04T08:58:53.6476003Z  * [new tag]                 trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b
2025-12-04T08:58:53.6476759Z  * [new tag]                 trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235
2025-12-04T08:58:53.6477695Z  * [new tag]                 trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e
2025-12-04T08:58:53.6478599Z  * [new tag]                 trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc
2025-12-04T08:58:53.6479359Z  * [new tag]                 trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3
2025-12-04T08:58:53.6480228Z  * [new tag]                 trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf
2025-12-04T08:58:53.6481089Z  * [new tag]                 trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e
2025-12-04T08:58:53.6481958Z  * [new tag]                 trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e
2025-12-04T08:58:53.6483338Z  * [new tag]                 trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2
2025-12-04T08:58:53.6484080Z  * [new tag]                 trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4
2025-12-04T08:58:53.6484991Z  * [new tag]                 trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53
2025-12-04T08:58:53.6485836Z  * [new tag]                 trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598
2025-12-04T08:58:53.6486705Z  * [new tag]                 trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40
2025-12-04T08:58:53.6487691Z  * [new tag]                 trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56
2025-12-04T08:58:53.6488597Z  * [new tag]                 trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8
2025-12-04T08:58:53.6489367Z  * [new tag]                 trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467
2025-12-04T08:58:53.6490244Z  * [new tag]                 trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17
2025-12-04T08:58:53.6491486Z  * [new tag]                 trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73
2025-12-04T08:58:53.6492166Z  * [new tag]                 trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7
2025-12-04T08:58:53.6493053Z  * [new tag]                 trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b
2025-12-04T08:58:53.6493919Z  * [new tag]                 trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7
2025-12-04T08:58:53.6495365Z  * [new tag]                 trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307
2025-12-04T08:58:53.6496158Z  * [new tag]                 trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009
2025-12-04T08:58:53.6497726Z  * [new tag]                 trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:58:53.6498321Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-12-04T08:58:53.6499207Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-12-04T08:58:53.6499896Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-12-04T08:58:53.6500779Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-12-04T08:58:53.6501621Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-12-04T08:58:53.6502294Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-12-04T08:58:53.6503005Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-12-04T08:58:53.6503872Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-12-04T08:58:53.6504563Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-12-04T08:58:53.6505362Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-12-04T08:58:53.6506037Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-12-04T08:58:53.6506837Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-12-04T08:58:53.6507648Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-12-04T08:58:53.6508505Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-12-04T08:58:53.6509404Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-12-04T08:58:53.6510088Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-12-04T08:58:53.6510938Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-12-04T08:58:53.6511627Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-12-04T08:58:53.6512573Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-12-04T08:58:53.6513301Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-12-04T08:58:53.6514186Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-12-04T08:58:53.6514685Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-12-04T08:58:53.6515630Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-12-04T08:58:53.6516337Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-12-04T08:58:53.6517436Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-12-04T08:58:53.6518296Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-12-04T08:58:53.6519027Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-12-04T08:58:53.6519631Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-12-04T08:58:53.6520608Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-12-04T08:58:53.6521126Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-12-04T08:58:53.6522303Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-12-04T08:58:53.6522818Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-12-04T08:58:53.6523761Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-12-04T08:58:53.6524779Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-12-04T08:58:53.6525700Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-12-04T08:58:53.6526576Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-12-04T08:58:53.6527544Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-12-04T08:58:53.6528391Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-12-04T08:58:53.6528888Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-12-04T08:58:53.6529569Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-12-04T08:58:53.6530596Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-12-04T08:58:53.6531417Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-12-04T08:58:53.6532298Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-12-04T08:58:53.6533019Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-12-04T08:58:53.6533980Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-12-04T08:58:53.6534785Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-12-04T08:58:53.6535700Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-12-04T08:58:53.6536312Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-12-04T08:58:53.6537174Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-12-04T08:58:53.6537572Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-12-04T08:58:53.6538607Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-12-04T08:58:53.6539342Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-12-04T08:58:53.6540323Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-12-04T08:58:53.6541228Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-12-04T08:58:53.6541791Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-12-04T08:58:53.6542724Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-12-04T08:58:53.6543453Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-12-04T08:58:53.6544362Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-12-04T08:58:53.6545051Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-12-04T08:58:53.6546135Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-12-04T08:58:53.6546639Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-12-04T08:58:53.6547358Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-12-04T08:58:53.6548279Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-12-04T08:58:53.6548878Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-12-04T08:58:53.6549726Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-12-04T08:58:53.6550668Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-12-04T08:58:53.6551488Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-12-04T08:58:53.6552208Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-12-04T08:58:53.6552858Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-12-04T08:58:53.6553743Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-12-04T08:58:53.6554444Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-12-04T08:58:53.6555083Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-12-04T08:58:53.6556058Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-12-04T08:58:53.6556977Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-12-04T08:58:53.6557672Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-12-04T08:58:53.6558679Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-12-04T08:58:53.6559369Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-12-04T08:58:53.6560015Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-12-04T08:58:53.6560989Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-12-04T08:58:53.6561561Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-12-04T08:58:53.6562202Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-12-04T08:58:53.6563145Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-12-04T08:58:53.6564045Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-12-04T08:58:53.6564859Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-12-04T08:58:53.6565641Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-12-04T08:58:53.6566560Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-12-04T08:58:53.6567320Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-12-04T08:58:53.6568150Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-12-04T08:58:53.6568957Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-12-04T08:58:53.6569864Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-12-04T08:58:53.6570796Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-12-04T08:58:53.6571669Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-12-04T08:58:53.6572234Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-12-04T08:58:53.6573140Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-12-04T08:58:53.6574527Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-12-04T08:58:53.6575418Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-12-04T08:58:53.6575967Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-12-04T08:58:53.6577015Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-12-04T08:58:53.6577528Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-12-04T08:58:53.6578491Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-12-04T08:58:53.6579351Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-12-04T08:58:53.6580072Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-12-04T08:58:53.6580629Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-12-04T08:58:53.6581330Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-12-04T08:58:53.6582277Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-12-04T08:58:53.6582805Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-12-04T08:58:53.6583449Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-12-04T08:58:53.6584853Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-12-04T08:58:53.6585386Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-12-04T08:58:53.6586369Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-12-04T08:58:53.6587113Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-12-04T08:58:53.6588071Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-12-04T08:58:53.6588849Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-12-04T08:58:53.6589546Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-12-04T08:58:53.6590436Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-12-04T08:58:53.6591530Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-12-04T08:58:53.6591997Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-12-04T08:58:53.6593036Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-12-04T08:58:53.6593715Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-12-04T08:58:53.6594658Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-12-04T08:58:53.6595571Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-12-04T08:58:53.6596299Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-12-04T08:58:53.6597363Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-12-04T08:58:53.6597986Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-12-04T08:58:53.6598922Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-12-04T08:58:53.6599911Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-12-04T08:58:53.6600372Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-12-04T08:58:53.6601226Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-12-04T08:58:53.6601839Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-12-04T08:58:53.6603343Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-12-04T08:58:53.6604036Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-12-04T08:58:53.6605159Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-12-04T08:58:53.6605897Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-12-04T08:58:53.6606969Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-12-04T08:58:53.6607888Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-12-04T08:58:53.6608441Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-12-04T08:58:53.6609349Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-12-04T08:58:53.6610354Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-12-04T08:58:53.6611210Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-12-04T08:58:53.6612159Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-12-04T08:58:53.6612982Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-12-04T08:58:53.6613865Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-12-04T08:58:53.6614406Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-12-04T08:58:53.6615307Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-12-04T08:58:53.6616213Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-12-04T08:58:53.6617103Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-12-04T08:58:53.6617614Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-12-04T08:58:53.6618643Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-12-04T08:58:53.6619357Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-12-04T08:58:53.6620345Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-12-04T08:58:53.6621002Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-12-04T08:58:53.6621871Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-12-04T08:58:53.6622701Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-12-04T08:58:53.6623470Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-12-04T08:58:53.6624071Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-12-04T08:58:53.6624734Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-12-04T08:58:53.6625718Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-12-04T08:58:53.6626604Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-12-04T08:58:53.6627597Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-12-04T08:58:53.6628236Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-12-04T08:58:53.6628866Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-12-04T08:58:53.6630048Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-12-04T08:58:53.6630597Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-12-04T08:58:53.6631200Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-12-04T08:58:53.6632170Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-12-04T08:58:53.6633065Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-12-04T08:58:53.6634020Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-12-04T08:58:53.6634880Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-12-04T08:58:53.6635484Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-12-04T08:58:53.6636442Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-12-04T08:58:53.6637189Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-12-04T08:58:53.6638091Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-12-04T08:58:53.6638869Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-12-04T08:58:53.6639524Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-12-04T08:58:53.6640431Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-12-04T08:58:53.6641233Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-12-04T08:58:53.6641867Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-12-04T08:58:53.6642535Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-12-04T08:58:53.6643487Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-12-04T08:58:53.6644276Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-12-04T08:58:53.6645224Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-12-04T08:58:53.6646163Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-12-04T08:58:53.6647000Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-12-04T08:58:53.6647981Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-12-04T08:58:53.6648713Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-12-04T08:58:53.6649685Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-12-04T08:58:53.6650637Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-12-04T08:58:53.6651337Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-12-04T08:58:53.6652273Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-12-04T08:58:53.6653128Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-12-04T08:58:53.6654048Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-12-04T08:58:53.6654603Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-12-04T08:58:53.6655638Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-12-04T08:58:53.6656633Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-12-04T08:58:53.6657408Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-12-04T08:58:53.6658342Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-12-04T08:58:53.6659202Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-12-04T08:58:53.6659772Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-12-04T08:58:53.6660678Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-12-04T08:58:53.6661553Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-12-04T08:58:53.6662380Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-12-04T08:58:53.6663259Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-12-04T08:58:53.6664161Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-12-04T08:58:53.6665009Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-12-04T08:58:53.6665916Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-12-04T08:58:53.6666766Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-12-04T08:58:53.6667302Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-12-04T08:58:53.6668015Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-12-04T08:58:53.6668622Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-12-04T08:58:53.6669645Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-12-04T08:58:53.6670529Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-12-04T08:58:53.6671446Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-12-04T08:58:53.6672255Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-12-04T08:58:53.6673390Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-12-04T08:58:53.6674338Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-12-04T08:58:53.6675221Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-12-04T08:58:53.6676229Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-12-04T08:58:53.6677175Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-12-04T08:58:53.6678179Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-12-04T08:58:53.6679055Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-12-04T08:58:53.6679645Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-12-04T08:58:53.6680708Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-12-04T08:58:53.6682000Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-12-04T08:58:53.6682901Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-12-04T08:58:53.6683745Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-12-04T08:58:53.6684706Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-12-04T08:58:53.6685433Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-12-04T08:58:53.6686473Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-12-04T08:58:53.6687447Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-12-04T08:58:53.6688139Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-12-04T08:58:53.6689163Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-12-04T08:58:53.6690055Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-12-04T08:58:53.6691031Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-12-04T08:58:53.6691967Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-12-04T08:58:53.6692860Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-12-04T08:58:53.6693465Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-12-04T08:58:53.6694434Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-12-04T08:58:53.6695314Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-12-04T08:58:53.6696250Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-12-04T08:58:53.6697299Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-12-04T08:58:53.6698306Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-12-04T08:58:53.6699273Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-12-04T08:58:53.6700006Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-12-04T08:58:53.6700946Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-12-04T08:58:53.6701879Z  * [new tag]                 v2.9.0                      -> v2.9.0
2025-12-04T08:58:53.6702785Z  * [new tag]                 v2.9.0-rc1                  -> v2.9.0-rc1
2025-12-04T08:58:53.6703600Z  * [new tag]                 v2.9.0-rc10                 -> v2.9.0-rc10
2025-12-04T08:58:53.6704579Z  * [new tag]                 v2.9.0-rc11                 -> v2.9.0-rc11
2025-12-04T08:58:53.6705810Z  * [new tag]                 v2.9.0-rc2                  -> v2.9.0-rc2
2025-12-04T08:58:53.6706538Z  * [new tag]                 v2.9.0-rc3                  -> v2.9.0-rc3
2025-12-04T08:58:53.6707509Z  * [new tag]                 v2.9.0-rc4                  -> v2.9.0-rc4
2025-12-04T08:58:53.6708419Z  * [new tag]                 v2.9.0-rc5                  -> v2.9.0-rc5
2025-12-04T08:58:53.6709539Z  * [new tag]                 v2.9.0-rc6                  -> v2.9.0-rc6
2025-12-04T08:58:53.6710472Z  * [new tag]                 v2.9.0-rc7                  -> v2.9.0-rc7
2025-12-04T08:58:53.6711548Z  * [new tag]                 v2.9.0-rc8                  -> v2.9.0-rc8
2025-12-04T08:58:53.6712103Z  * [new tag]                 v2.9.0-rc9                  -> v2.9.0-rc9
2025-12-04T08:58:53.6712814Z  * [new tag]                 v2.9.1                      -> v2.9.1
2025-12-04T08:58:53.6713920Z  * [new tag]                 v2.9.1-rc1                  -> v2.9.1-rc1
2025-12-04T08:58:53.6714827Z  * [new tag]                 v2.9.1-rc2                  -> v2.9.1-rc2
2025-12-04T08:58:53.6716021Z  * [new tag]                 viable/strict/1759343184    -> viable/strict/1759343184
2025-12-04T08:58:53.6716763Z  * [new tag]                 viable/strict/1759346540    -> viable/strict/1759346540
2025-12-04T08:58:53.6717692Z  * [new tag]                 viable/strict/1759348181    -> viable/strict/1759348181
2025-12-04T08:58:53.6718369Z  * [new tag]                 viable/strict/1759350324    -> viable/strict/1759350324
2025-12-04T08:58:53.6719153Z  * [new tag]                 viable/strict/1759351793    -> viable/strict/1759351793
2025-12-04T08:58:53.6720074Z  * [new tag]                 viable/strict/1759353844    -> viable/strict/1759353844
2025-12-04T08:58:53.6720826Z  * [new tag]                 viable/strict/1759355374    -> viable/strict/1759355374
2025-12-04T08:58:53.6721593Z  * [new tag]                 viable/strict/1759357472    -> viable/strict/1759357472
2025-12-04T08:58:53.6722366Z  * [new tag]                 viable/strict/1759361002    -> viable/strict/1759361002
2025-12-04T08:58:53.6723548Z  * [new tag]                 viable/strict/1759362585    -> viable/strict/1759362585
2025-12-04T08:58:53.6724558Z  * [new tag]                 viable/strict/1759365359    -> viable/strict/1759365359
2025-12-04T08:58:53.6725304Z  * [new tag]                 viable/strict/1759370089    -> viable/strict/1759370089
2025-12-04T08:58:53.6726287Z  * [new tag]                 viable/strict/1759377554    -> viable/strict/1759377554
2025-12-04T08:58:53.6727085Z  * [new tag]                 viable/strict/1759379133    -> viable/strict/1759379133
2025-12-04T08:58:53.6728098Z  * [new tag]                 viable/strict/1759389871    -> viable/strict/1759389871
2025-12-04T08:58:53.6728882Z  * [new tag]                 viable/strict/1759393562    -> viable/strict/1759393562
2025-12-04T08:58:53.6729839Z  * [new tag]                 viable/strict/1759395076    -> viable/strict/1759395076
2025-12-04T08:58:53.6730734Z  * [new tag]                 viable/strict/1759398579    -> viable/strict/1759398579
2025-12-04T08:58:53.6731603Z  * [new tag]                 viable/strict/1759404142    -> viable/strict/1759404142
2025-12-04T08:58:53.6732314Z  * [new tag]                 viable/strict/1759405773    -> viable/strict/1759405773
2025-12-04T08:58:53.6733228Z  * [new tag]                 viable/strict/1759408041    -> viable/strict/1759408041
2025-12-04T08:58:53.6733972Z  * [new tag]                 viable/strict/1759411593    -> viable/strict/1759411593
2025-12-04T08:58:53.6734865Z  * [new tag]                 viable/strict/1759427395    -> viable/strict/1759427395
2025-12-04T08:58:53.6735757Z  * [new tag]                 viable/strict/1759434582    -> viable/strict/1759434582
2025-12-04T08:58:53.6736508Z  * [new tag]                 viable/strict/1759436720    -> viable/strict/1759436720
2025-12-04T08:58:53.6737441Z  * [new tag]                 viable/strict/1759440219    -> viable/strict/1759440219
2025-12-04T08:58:53.6738168Z  * [new tag]                 viable/strict/1759441948    -> viable/strict/1759441948
2025-12-04T08:58:53.6739152Z  * [new tag]                 viable/strict/1759443860    -> viable/strict/1759443860
2025-12-04T08:58:53.6739920Z  * [new tag]                 viable/strict/1759445377    -> viable/strict/1759445377
2025-12-04T08:58:53.6740946Z  * [new tag]                 viable/strict/1759447415    -> viable/strict/1759447415
2025-12-04T08:58:53.6741678Z  * [new tag]                 viable/strict/1759451750    -> viable/strict/1759451750
2025-12-04T08:58:53.6742590Z  * [new tag]                 viable/strict/1759453910    -> viable/strict/1759453910
2025-12-04T08:58:53.6743487Z  * [new tag]                 viable/strict/1759456483    -> viable/strict/1759456483
2025-12-04T08:58:53.6744413Z  * [new tag]                 viable/strict/1759459279    -> viable/strict/1759459279
2025-12-04T08:58:53.6745153Z  * [new tag]                 viable/strict/1759460742    -> viable/strict/1759460742
2025-12-04T08:58:53.6746101Z  * [new tag]                 viable/strict/1759462025    -> viable/strict/1759462025
2025-12-04T08:58:53.6746821Z  * [new tag]                 viable/strict/1759469086    -> viable/strict/1759469086
2025-12-04T08:58:53.6747984Z  * [new tag]                 viable/strict/1759470581    -> viable/strict/1759470581
2025-12-04T08:58:53.6748838Z  * [new tag]                 viable/strict/1759472786    -> viable/strict/1759472786
2025-12-04T08:58:53.6749742Z  * [new tag]                 viable/strict/1759476294    -> viable/strict/1759476294
2025-12-04T08:58:53.6750483Z  * [new tag]                 viable/strict/1759479963    -> viable/strict/1759479963
2025-12-04T08:58:53.6751343Z  * [new tag]                 viable/strict/1759492177    -> viable/strict/1759492177
2025-12-04T08:58:53.6752123Z  * [new tag]                 viable/strict/1759519278    -> viable/strict/1759519278
2025-12-04T08:58:53.6752980Z  * [new tag]                 viable/strict/1759524580    -> viable/strict/1759524580
2025-12-04T08:58:53.6753758Z  * [new tag]                 viable/strict/1759528193    -> viable/strict/1759528193
2025-12-04T08:58:53.6754898Z  * [new tag]                 viable/strict/1759533797    -> viable/strict/1759533797
2025-12-04T08:58:53.6755619Z  * [new tag]                 viable/strict/1759542780    -> viable/strict/1759542780
2025-12-04T08:58:53.6756569Z  * [new tag]                 viable/strict/1759549779    -> viable/strict/1759549779
2025-12-04T08:58:53.6757345Z  * [new tag]                 viable/strict/1759555455    -> viable/strict/1759555455
2025-12-04T08:58:53.6758343Z  * [new tag]                 viable/strict/1759559176    -> viable/strict/1759559176
2025-12-04T08:58:53.6759037Z  * [new tag]                 viable/strict/1759560629    -> viable/strict/1759560629
2025-12-04T08:58:53.6759844Z  * [new tag]                 viable/strict/1759569848    -> viable/strict/1759569848
2025-12-04T08:58:53.6760949Z  * [new tag]                 viable/strict/1759571382    -> viable/strict/1759571382
2025-12-04T08:58:53.6761693Z  * [new tag]                 viable/strict/1759573474    -> viable/strict/1759573474
2025-12-04T08:58:53.6762607Z  * [new tag]                 viable/strict/1759618187    -> viable/strict/1759618187
2025-12-04T08:58:53.6763331Z  * [new tag]                 viable/strict/1759626742    -> viable/strict/1759626742
2025-12-04T08:58:53.6764310Z  * [new tag]                 viable/strict/1759632427    -> viable/strict/1759632427
2025-12-04T08:58:53.6765054Z  * [new tag]                 viable/strict/1759634971    -> viable/strict/1759634971
2025-12-04T08:58:53.6766453Z  * [new tag]                 viable/strict/1759661382    -> viable/strict/1759661382
2025-12-04T08:58:53.6767297Z  * [new tag]                 viable/strict/1759663294    -> viable/strict/1759663294
2025-12-04T08:58:53.6768253Z  * [new tag]                 viable/strict/1759708178    -> viable/strict/1759708178
2025-12-04T08:58:53.6769122Z  * [new tag]                 viable/strict/1759715695    -> viable/strict/1759715695
2025-12-04T08:58:53.6769909Z  * [new tag]                 viable/strict/1759728293    -> viable/strict/1759728293
2025-12-04T08:58:53.6770842Z  * [new tag]                 viable/strict/1759735513    -> viable/strict/1759735513
2025-12-04T08:58:53.6771594Z  * [new tag]                 viable/strict/1759739177    -> viable/strict/1759739177
2025-12-04T08:58:53.6772615Z  * [new tag]                 viable/strict/1759758635    -> viable/strict/1759758635
2025-12-04T08:58:53.6773334Z  * [new tag]                 viable/strict/1759765784    -> viable/strict/1759765784
2025-12-04T08:58:53.6774194Z  * [new tag]                 viable/strict/1759767948    -> viable/strict/1759767948
2025-12-04T08:58:53.6775104Z  * [new tag]                 viable/strict/1759771461    -> viable/strict/1759771461
2025-12-04T08:58:53.6775679Z  * [new tag]                 viable/strict/1759776706    -> viable/strict/1759776706
2025-12-04T08:58:53.6776732Z  * [new tag]                 viable/strict/1759782317    -> viable/strict/1759782317
2025-12-04T08:58:53.6777595Z  * [new tag]                 viable/strict/1759783777    -> viable/strict/1759783777
2025-12-04T08:58:53.6778548Z  * [new tag]                 viable/strict/1759785815    -> viable/strict/1759785815
2025-12-04T08:58:53.6779289Z  * [new tag]                 viable/strict/1759789459    -> viable/strict/1759789459
2025-12-04T08:58:53.6780220Z  * [new tag]                 viable/strict/1759790974    -> viable/strict/1759790974
2025-12-04T08:58:53.6780891Z  * [new tag]                 viable/strict/1759794583    -> viable/strict/1759794583
2025-12-04T08:58:53.6781781Z  * [new tag]                 viable/strict/1759797408    -> viable/strict/1759797408
2025-12-04T08:58:53.6782556Z  * [new tag]                 viable/strict/1759799518    -> viable/strict/1759799518
2025-12-04T08:58:53.6783499Z  * [new tag]                 viable/strict/1759804909    -> viable/strict/1759804909
2025-12-04T08:58:53.6784246Z  * [new tag]                 viable/strict/1759807643    -> viable/strict/1759807643
2025-12-04T08:58:53.6785188Z  * [new tag]                 viable/strict/1759809089    -> viable/strict/1759809089
2025-12-04T08:58:53.6785928Z  * [new tag]                 viable/strict/1759811145    -> viable/strict/1759811145
2025-12-04T08:58:53.6786883Z  * [new tag]                 viable/strict/1759812581    -> viable/strict/1759812581
2025-12-04T08:58:53.6787608Z  * [new tag]                 viable/strict/1759814683    -> viable/strict/1759814683
2025-12-04T08:58:53.6788579Z  * [new tag]                 viable/strict/1759821889    -> viable/strict/1759821889
2025-12-04T08:58:53.6789488Z  * [new tag]                 viable/strict/1759823376    -> viable/strict/1759823376
2025-12-04T08:58:53.6790209Z  * [new tag]                 viable/strict/1759827107    -> viable/strict/1759827107
2025-12-04T08:58:53.6791036Z  * [new tag]                 viable/strict/1759830577    -> viable/strict/1759830577
2025-12-04T08:58:53.6792021Z  * [new tag]                 viable/strict/1759832720    -> viable/strict/1759832720
2025-12-04T08:58:53.6792787Z  * [new tag]                 viable/strict/1759842063    -> viable/strict/1759842063
2025-12-04T08:58:53.6793710Z  * [new tag]                 viable/strict/1759847121    -> viable/strict/1759847121
2025-12-04T08:58:53.6794840Z  * [new tag]                 viable/strict/1759850721    -> viable/strict/1759850721
2025-12-04T08:58:53.6795779Z  * [new tag]                 viable/strict/1759857870    -> viable/strict/1759857870
2025-12-04T08:58:53.6796883Z  * [new tag]                 viable/strict/1759863143    -> viable/strict/1759863143
2025-12-04T08:58:53.6800667Z  * [new tag]                 viable/strict/1759875874    -> viable/strict/1759875874
2025-12-04T08:58:53.6801298Z  * [new tag]                 viable/strict/1759877385    -> viable/strict/1759877385
2025-12-04T08:58:53.6802287Z  * [new tag]                 viable/strict/1759883801    -> viable/strict/1759883801
2025-12-04T08:58:53.6803060Z  * [new tag]                 viable/strict/1759885922    -> viable/strict/1759885922
2025-12-04T08:58:53.6804120Z  * [new tag]                 viable/strict/1759888488    -> viable/strict/1759888488
2025-12-04T08:58:53.6804757Z  * [new tag]                 viable/strict/1759895471    -> viable/strict/1759895471
2025-12-04T08:58:53.6805665Z  * [new tag]                 viable/strict/1759904803    -> viable/strict/1759904803
2025-12-04T08:58:53.6806714Z  * [new tag]                 viable/strict/1759908300    -> viable/strict/1759908300
2025-12-04T08:58:53.6807666Z  * [new tag]                 viable/strict/1759915520    -> viable/strict/1759915520
2025-12-04T08:58:53.6808445Z  * [new tag]                 viable/strict/1759916978    -> viable/strict/1759916978
2025-12-04T08:58:53.6809156Z  * [new tag]                 viable/strict/1759930024    -> viable/strict/1759930024
2025-12-04T08:58:53.6810153Z  * [new tag]                 viable/strict/1759948122    -> viable/strict/1759948122
2025-12-04T08:58:53.6810941Z  * [new tag]                 viable/strict/1759952983    -> viable/strict/1759952983
2025-12-04T08:58:53.6811916Z  * [new tag]                 viable/strict/1759955121    -> viable/strict/1759955121
2025-12-04T08:58:53.6812671Z  * [new tag]                 viable/strict/1759962298    -> viable/strict/1759962298
2025-12-04T08:58:53.6813574Z  * [new tag]                 viable/strict/1759965837    -> viable/strict/1759965837
2025-12-04T08:58:53.6814457Z  * [new tag]                 viable/strict/1759970213    -> viable/strict/1759970213
2025-12-04T08:58:53.6815338Z  * [new tag]                 viable/strict/1759974894    -> viable/strict/1759974894
2025-12-04T08:58:53.6816092Z  * [new tag]                 viable/strict/1759977763    -> viable/strict/1759977763
2025-12-04T08:58:53.6817065Z  * [new tag]                 viable/strict/1759979241    -> viable/strict/1759979241
2025-12-04T08:58:53.6817811Z  * [new tag]                 viable/strict/1759985417    -> viable/strict/1759985417
2025-12-04T08:58:53.6818853Z  * [new tag]                 viable/strict/1759987490    -> viable/strict/1759987490
2025-12-04T08:58:53.6819781Z  * [new tag]                 viable/strict/1759996180    -> viable/strict/1759996180
2025-12-04T08:58:53.6820498Z  * [new tag]                 viable/strict/1760065682    -> viable/strict/1760065682
2025-12-04T08:58:53.6821462Z  * [new tag]                 viable/strict/1760066894    -> viable/strict/1760066894
2025-12-04T08:58:53.6822213Z  * [new tag]                 viable/strict/1760070345    -> viable/strict/1760070345
2025-12-04T08:58:53.6823173Z  * [new tag]                 viable/strict/1760089782    -> viable/strict/1760089782
2025-12-04T08:58:53.6823884Z  * [new tag]                 viable/strict/1760091921    -> viable/strict/1760091921
2025-12-04T08:58:53.6825318Z  * [new tag]                 viable/strict/1760127924    -> viable/strict/1760127924
2025-12-04T08:58:53.6826059Z  * [new tag]                 viable/strict/1760129489    -> viable/strict/1760129489
2025-12-04T08:58:53.6827198Z  * [new tag]                 viable/strict/1760132980    -> viable/strict/1760132980
2025-12-04T08:58:53.6827966Z  * [new tag]                 viable/strict/1760135060    -> viable/strict/1760135060
2025-12-04T08:58:53.6828926Z  * [new tag]                 viable/strict/1760215782    -> viable/strict/1760215782
2025-12-04T08:58:53.6829801Z  * [new tag]                 viable/strict/1760273849    -> viable/strict/1760273849
2025-12-04T08:58:53.6830566Z  * [new tag]                 viable/strict/1760275517    -> viable/strict/1760275517
2025-12-04T08:58:53.6831515Z  * [new tag]                 viable/strict/1760276979    -> viable/strict/1760276979
2025-12-04T08:58:53.6832264Z  * [new tag]                 viable/strict/1760279007    -> viable/strict/1760279007
2025-12-04T08:58:53.6832991Z  * [new tag]                 viable/strict/1760286328    -> viable/strict/1760286328
2025-12-04T08:58:53.6833705Z  * [new tag]                 viable/strict/1760493304    -> viable/strict/1760493304
2025-12-04T08:58:53.6834621Z  * [new tag]                 viable/strict/1760496298    -> viable/strict/1760496298
2025-12-04T08:58:53.6835444Z  * [new tag]                 viable/strict/1760518396    -> viable/strict/1760518396
2025-12-04T08:58:53.6836206Z  * [new tag]                 viable/strict/1760534864    -> viable/strict/1760534864
2025-12-04T08:58:53.6837147Z  * [new tag]                 viable/strict/1760549062    -> viable/strict/1760549062
2025-12-04T08:58:53.6838097Z  * [new tag]                 viable/strict/1760552799    -> viable/strict/1760552799
2025-12-04T08:58:53.6838865Z  * [new tag]                 viable/strict/1760554355    -> viable/strict/1760554355
2025-12-04T08:58:53.6839845Z  * [new tag]                 viable/strict/1760556275    -> viable/strict/1760556275
2025-12-04T08:58:53.6840581Z  * [new tag]                 viable/strict/1760564979    -> viable/strict/1760564979
2025-12-04T08:58:53.6841616Z  * [new tag]                 viable/strict/1760567049    -> viable/strict/1760567049
2025-12-04T08:58:53.6842843Z  * [new tag]                 viable/strict/1760568585    -> viable/strict/1760568585
2025-12-04T08:58:53.6843607Z  * [new tag]                 viable/strict/1760570630    -> viable/strict/1760570630
2025-12-04T08:58:53.6844541Z  * [new tag]                 viable/strict/1760572180    -> viable/strict/1760572180
2025-12-04T08:58:53.6845299Z  * [new tag]                 viable/strict/1760575094    -> viable/strict/1760575094
2025-12-04T08:58:53.6846372Z  * [new tag]                 viable/strict/1760579709    -> viable/strict/1760579709
2025-12-04T08:58:53.6847759Z  * [new tag]                 viable/strict/1760582614    -> viable/strict/1760582614
2025-12-04T08:58:53.6848626Z  * [new tag]                 viable/strict/1760586815    -> viable/strict/1760586815
2025-12-04T08:58:53.6849279Z  * [new tag]                 viable/strict/1760588829    -> viable/strict/1760588829
2025-12-04T08:58:53.6850221Z  * [new tag]                 viable/strict/1760590200    -> viable/strict/1760590200
2025-12-04T08:58:53.6851176Z  * [new tag]                 viable/strict/1760592311    -> viable/strict/1760592311
2025-12-04T08:58:53.6851906Z  * [new tag]                 viable/strict/1760619733    -> viable/strict/1760619733
2025-12-04T08:58:53.6852638Z  * [new tag]                 viable/strict/1760628335    -> viable/strict/1760628335
2025-12-04T08:58:53.6853543Z  * [new tag]                 viable/strict/1760635490    -> viable/strict/1760635490
2025-12-04T08:58:53.6854298Z  * [new tag]                 viable/strict/1760640743    -> viable/strict/1760640743
2025-12-04T08:58:53.6855306Z  * [new tag]                 viable/strict/1760642528    -> viable/strict/1760642528
2025-12-04T08:58:53.6856071Z  * [new tag]                 viable/strict/1760646330    -> viable/strict/1760646330
2025-12-04T08:58:53.6857035Z  * [new tag]                 viable/strict/1760666101    -> viable/strict/1760666101
2025-12-04T08:58:53.6857796Z  * [new tag]                 viable/strict/1760668990    -> viable/strict/1760668990
2025-12-04T08:58:53.6858748Z  * [new tag]                 viable/strict/1760670600    -> viable/strict/1760670600
2025-12-04T08:58:53.6859481Z  * [new tag]                 viable/strict/1760671704    -> viable/strict/1760671704
2025-12-04T08:58:53.6860433Z  * [new tag]                 viable/strict/1760673121    -> viable/strict/1760673121
2025-12-04T08:58:53.6861285Z  * [new tag]                 viable/strict/1760675352    -> viable/strict/1760675352
2025-12-04T08:58:53.6862139Z  * [new tag]                 viable/strict/1760696731    -> viable/strict/1760696731
2025-12-04T08:58:53.6864428Z  * [new tag]                 viable/strict/1760723515    -> viable/strict/1760723515
2025-12-04T08:58:53.6865178Z  * [new tag]                 viable/strict/1760727234    -> viable/strict/1760727234
2025-12-04T08:58:53.6866166Z  * [new tag]                 viable/strict/1760730578    -> viable/strict/1760730578
2025-12-04T08:58:53.6866900Z  * [new tag]                 viable/strict/1760732726    -> viable/strict/1760732726
2025-12-04T08:58:53.6867862Z  * [new tag]                 viable/strict/1760734180    -> viable/strict/1760734180
2025-12-04T08:58:53.6868784Z  * [new tag]                 viable/strict/1760736251    -> viable/strict/1760736251
2025-12-04T08:58:53.6869551Z  * [new tag]                 viable/strict/1760737772    -> viable/strict/1760737772
2025-12-04T08:58:53.6870486Z  * [new tag]                 viable/strict/1760758005    -> viable/strict/1760758005
2025-12-04T08:58:53.6871199Z  * [new tag]                 viable/strict/1760761532    -> viable/strict/1760761532
2025-12-04T08:58:53.6872160Z  * [new tag]                 viable/strict/1760802581    -> viable/strict/1760802581
2025-12-04T08:58:53.6872927Z  * [new tag]                 viable/strict/1760827772    -> viable/strict/1760827772
2025-12-04T08:58:53.6873841Z  * [new tag]                 viable/strict/1760834524    -> viable/strict/1760834524
2025-12-04T08:58:53.6874756Z  * [new tag]                 viable/strict/1760845009    -> viable/strict/1760845009
2025-12-04T08:58:53.6875616Z  * [new tag]                 viable/strict/1760876836    -> viable/strict/1760876836
2025-12-04T08:58:53.6876482Z  * [new tag]                 viable/strict/1760880329    -> viable/strict/1760880329
2025-12-04T08:58:53.6877191Z  * [new tag]                 viable/strict/1760888987    -> viable/strict/1760888987
2025-12-04T08:58:53.6878132Z  * [new tag]                 viable/strict/1760912664    -> viable/strict/1760912664
2025-12-04T08:58:53.6878887Z  * [new tag]                 viable/strict/1760925321    -> viable/strict/1760925321
2025-12-04T08:58:53.6879844Z  * [new tag]                 viable/strict/1760931488    -> viable/strict/1760931488
2025-12-04T08:58:53.6880556Z  * [new tag]                 viable/strict/1760932693    -> viable/strict/1760932693
2025-12-04T08:58:53.6881514Z  * [new tag]                 viable/strict/1761004184    -> viable/strict/1761004184
2025-12-04T08:58:53.6882734Z  * [new tag]                 viable/strict/1761014748    -> viable/strict/1761014748
2025-12-04T08:58:53.6883498Z  * [new tag]                 viable/strict/1761017491    -> viable/strict/1761017491
2025-12-04T08:58:53.6884563Z  * [new tag]                 viable/strict/1761018806    -> viable/strict/1761018806
2025-12-04T08:58:53.6885463Z  * [new tag]                 viable/strict/1761020754    -> viable/strict/1761020754
2025-12-04T08:58:53.6886204Z  * [new tag]                 viable/strict/1761024303    -> viable/strict/1761024303
2025-12-04T08:58:53.6887210Z  * [new tag]                 viable/strict/1761029582    -> viable/strict/1761029582
2025-12-04T08:58:53.6887971Z  * [new tag]                 viable/strict/1761031535    -> viable/strict/1761031535
2025-12-04T08:58:53.6888906Z  * [new tag]                 viable/strict/1761035196    -> viable/strict/1761035196
2025-12-04T08:58:53.6889871Z  * [new tag]                 viable/strict/1761045825    -> viable/strict/1761045825
2025-12-04T08:58:53.6890666Z  * [new tag]                 viable/strict/1761054796    -> viable/strict/1761054796
2025-12-04T08:58:53.6891624Z  * [new tag]                 viable/strict/1761060314    -> viable/strict/1761060314
2025-12-04T08:58:53.6892406Z  * [new tag]                 viable/strict/1761071198    -> viable/strict/1761071198
2025-12-04T08:58:53.6893414Z  * [new tag]                 viable/strict/1761074628    -> viable/strict/1761074628
2025-12-04T08:58:53.6894163Z  * [new tag]                 viable/strict/1761078351    -> viable/strict/1761078351
2025-12-04T08:58:53.6895120Z  * [new tag]                 viable/strict/1761079822    -> viable/strict/1761079822
2025-12-04T08:58:53.6895847Z  * [new tag]                 viable/strict/1761081873    -> viable/strict/1761081873
2025-12-04T08:58:53.6896980Z  * [new tag]                 viable/strict/1761083392    -> viable/strict/1761083392
2025-12-04T08:58:53.6897746Z  * [new tag]                 viable/strict/1761085465    -> viable/strict/1761085465
2025-12-04T08:58:53.6898747Z  * [new tag]                 viable/strict/1761089099    -> viable/strict/1761089099
2025-12-04T08:58:53.6899501Z  * [new tag]                 viable/strict/1761095535    -> viable/strict/1761095535
2025-12-04T08:58:53.6900489Z  * [new tag]                 viable/strict/1761098119    -> viable/strict/1761098119
2025-12-04T08:58:53.6901730Z  * [new tag]                 viable/strict/1761101330    -> viable/strict/1761101330
2025-12-04T08:58:53.6902654Z  * [new tag]                 viable/strict/1761114425    -> viable/strict/1761114425
2025-12-04T08:58:53.6903512Z  * [new tag]                 viable/strict/1761116036    -> viable/strict/1761116036
2025-12-04T08:58:53.6904261Z  * [new tag]                 viable/strict/1761119379    -> viable/strict/1761119379
2025-12-04T08:58:53.6905185Z  * [new tag]                 viable/strict/1761121601    -> viable/strict/1761121601
2025-12-04T08:58:53.6905916Z  * [new tag]                 viable/strict/1761123234    -> viable/strict/1761123234
2025-12-04T08:58:53.6906775Z  * [new tag]                 viable/strict/1761126621    -> viable/strict/1761126621
2025-12-04T08:58:53.6907558Z  * [new tag]                 viable/strict/1761132259    -> viable/strict/1761132259
2025-12-04T08:58:53.6908547Z  * [new tag]                 viable/strict/1761146746    -> viable/strict/1761146746
2025-12-04T08:58:53.6909296Z  * [new tag]                 viable/strict/1761164752    -> viable/strict/1761164752
2025-12-04T08:58:53.6910218Z  * [new tag]                 viable/strict/1761166198    -> viable/strict/1761166198
2025-12-04T08:58:53.6910994Z  * [new tag]                 viable/strict/1761175424    -> viable/strict/1761175424
2025-12-04T08:58:53.6911947Z  * [new tag]                 viable/strict/1761176983    -> viable/strict/1761176983
2025-12-04T08:58:53.6913046Z  * [new tag]                 viable/strict/1761179891    -> viable/strict/1761179891
2025-12-04T08:58:53.6913817Z  * [new tag]                 viable/strict/1761181930    -> viable/strict/1761181930
2025-12-04T08:58:53.6914764Z  * [new tag]                 viable/strict/1761184516    -> viable/strict/1761184516
2025-12-04T08:58:53.6915666Z  * [new tag]                 viable/strict/1761190179    -> viable/strict/1761190179
2025-12-04T08:58:53.6916439Z  * [new tag]                 viable/strict/1761193558    -> viable/strict/1761193558
2025-12-04T08:58:53.6917354Z  * [new tag]                 viable/strict/1761207990    -> viable/strict/1761207990
2025-12-04T08:58:53.6918104Z  * [new tag]                 viable/strict/1761229539    -> viable/strict/1761229539
2025-12-04T08:58:53.6919256Z  * [new tag]                 viable/strict/1761244031    -> viable/strict/1761244031
2025-12-04T08:58:53.6920149Z  * [new tag]                 viable/strict/1761248986    -> viable/strict/1761248986
2025-12-04T08:58:53.6920909Z  * [new tag]                 viable/strict/1761259791    -> viable/strict/1761259791
2025-12-04T08:58:53.6921836Z  * [new tag]                 viable/strict/1761266139    -> viable/strict/1761266139
2025-12-04T08:58:53.6922655Z  * [new tag]                 viable/strict/1761268316    -> viable/strict/1761268316
2025-12-04T08:58:53.6923630Z  * [new tag]                 viable/strict/1761273805    -> viable/strict/1761273805
2025-12-04T08:58:53.6924360Z  * [new tag]                 viable/strict/1761275261    -> viable/strict/1761275261
2025-12-04T08:58:53.6925361Z  * [new tag]                 viable/strict/1761277913    -> viable/strict/1761277913
2025-12-04T08:58:53.6926117Z  * [new tag]                 viable/strict/1761290701    -> viable/strict/1761290701
2025-12-04T08:58:53.6927212Z  * [new tag]                 viable/strict/1761294396    -> viable/strict/1761294396
2025-12-04T08:58:53.6928068Z  * [new tag]                 viable/strict/1761303047    -> viable/strict/1761303047
2025-12-04T08:58:53.6928975Z  * [new tag]                 viable/strict/1761335388    -> viable/strict/1761335388
2025-12-04T08:58:53.6929696Z  * [new tag]                 viable/strict/1761337551    -> viable/strict/1761337551
2025-12-04T08:58:53.6930699Z  * [new tag]                 viable/strict/1761339007    -> viable/strict/1761339007
2025-12-04T08:58:53.6931414Z  * [new tag]                 viable/strict/1761341050    -> viable/strict/1761341050
2025-12-04T08:58:53.6932575Z  * [new tag]                 viable/strict/1761346188    -> viable/strict/1761346188
2025-12-04T08:58:53.6933334Z  * [new tag]                 viable/strict/1761349792    -> viable/strict/1761349792
2025-12-04T08:58:53.6934269Z  * [new tag]                 viable/strict/1761352620    -> viable/strict/1761352620
2025-12-04T08:58:53.6935024Z  * [new tag]                 viable/strict/1761354730    -> viable/strict/1761354730
2025-12-04T08:58:53.6936031Z  * [new tag]                 viable/strict/1761357298    -> viable/strict/1761357298
2025-12-04T08:58:53.6936764Z  * [new tag]                 viable/strict/1761360201    -> viable/strict/1761360201
2025-12-04T08:58:53.6937701Z  * [new tag]                 viable/strict/1761361753    -> viable/strict/1761361753
2025-12-04T08:58:53.6938464Z  * [new tag]                 viable/strict/1761364351    -> viable/strict/1761364351
2025-12-04T08:58:53.6939852Z  * [new tag]                 viable/strict/1761366338    -> viable/strict/1761366338
2025-12-04T08:58:53.6940854Z  * [new tag]                 viable/strict/1761367802    -> viable/strict/1761367802
2025-12-04T08:58:53.6941844Z  * [new tag]                 viable/strict/1761369889    -> viable/strict/1761369889
2025-12-04T08:58:53.6942734Z  * [new tag]                 viable/strict/1761371385    -> viable/strict/1761371385
2025-12-04T08:58:53.6943627Z  * [new tag]                 viable/strict/1761373581    -> viable/strict/1761373581
2025-12-04T08:58:53.6944560Z  * [new tag]                 viable/strict/1761375054    -> viable/strict/1761375054
2025-12-04T08:58:53.6945494Z  * [new tag]                 viable/strict/1761421785    -> viable/strict/1761421785
2025-12-04T08:58:53.6946519Z  * [new tag]                 viable/strict/1761434614    -> viable/strict/1761434614
2025-12-04T08:58:53.6947647Z  * [new tag]                 viable/strict/1761439254    -> viable/strict/1761439254
2025-12-04T08:58:53.6948591Z  * [new tag]                 viable/strict/1761454187    -> viable/strict/1761454187
2025-12-04T08:58:53.6949503Z  * [new tag]                 viable/strict/1761459991    -> viable/strict/1761459991
2025-12-04T08:58:53.6950509Z  * [new tag]                 viable/strict/1761470668    -> viable/strict/1761470668
2025-12-04T08:58:53.6951804Z  * [new tag]                 viable/strict/1761472188    -> viable/strict/1761472188
2025-12-04T08:58:53.6952655Z  * [new tag]                 viable/strict/1761503178    -> viable/strict/1761503178
2025-12-04T08:58:53.6953576Z  * [new tag]                 viable/strict/1761517492    -> viable/strict/1761517492
2025-12-04T08:58:53.6954324Z  * [new tag]                 viable/strict/1761518981    -> viable/strict/1761518981
2025-12-04T08:58:53.6955346Z  * [new tag]                 viable/strict/1761533609    -> viable/strict/1761533609
2025-12-04T08:58:53.6955983Z  * [new tag]                 viable/strict/1761546438    -> viable/strict/1761546438
2025-12-04T08:58:53.6957084Z  * [new tag]                 viable/strict/1761548133    -> viable/strict/1761548133
2025-12-04T08:58:53.6958209Z  * [new tag]                 viable/strict/1761555186    -> viable/strict/1761555186
2025-12-04T08:58:53.6959112Z  * [new tag]                 viable/strict/1761557178    -> viable/strict/1761557178
2025-12-04T08:58:53.6959981Z  * [new tag]                 viable/strict/1761560772    -> viable/strict/1761560772
2025-12-04T08:58:53.6960833Z  * [new tag]                 viable/strict/1761562266    -> viable/strict/1761562266
2025-12-04T08:58:53.6961837Z  * [new tag]                 viable/strict/1761564260    -> viable/strict/1761564260
2025-12-04T08:58:53.6962571Z  * [new tag]                 viable/strict/1761568072    -> viable/strict/1761568072
2025-12-04T08:58:53.6963524Z  * [new tag]                 viable/strict/1761571683    -> viable/strict/1761571683
2025-12-04T08:58:53.6964202Z  * [new tag]                 viable/strict/1761580199    -> viable/strict/1761580199
2025-12-04T08:58:53.6965143Z  * [new tag]                 viable/strict/1761587383    -> viable/strict/1761587383
2025-12-04T08:58:53.6966130Z  * [new tag]                 viable/strict/1761591165    -> viable/strict/1761591165
2025-12-04T08:58:53.6966817Z  * [new tag]                 viable/strict/1761594575    -> viable/strict/1761594575
2025-12-04T08:58:53.6967883Z  * [new tag]                 viable/strict/1761596710    -> viable/strict/1761596710
2025-12-04T08:58:53.6968757Z  * [new tag]                 viable/strict/1761598189    -> viable/strict/1761598189
2025-12-04T08:58:53.6969619Z  * [new tag]                 viable/strict/1761600254    -> viable/strict/1761600254
2025-12-04T08:58:53.6970529Z  * [new tag]                 viable/strict/1761603879    -> viable/strict/1761603879
2025-12-04T08:58:53.6971490Z  * [new tag]                 viable/strict/1761605429    -> viable/strict/1761605429
2025-12-04T08:58:53.6972471Z  * [new tag]                 viable/strict/1761607468    -> viable/strict/1761607468
2025-12-04T08:58:53.6973230Z  * [new tag]                 viable/strict/1761608983    -> viable/strict/1761608983
2025-12-04T08:58:53.6974242Z  * [new tag]                 viable/strict/1761611846    -> viable/strict/1761611846
2025-12-04T08:58:53.6975109Z  * [new tag]                 viable/strict/1761613922    -> viable/strict/1761613922
2025-12-04T08:58:53.6975808Z  * [new tag]                 viable/strict/1761616504    -> viable/strict/1761616504
2025-12-04T08:58:53.6976542Z  * [new tag]                 viable/strict/1761619599    -> viable/strict/1761619599
2025-12-04T08:58:53.6977472Z  * [new tag]                 viable/strict/1761686693    -> viable/strict/1761686693
2025-12-04T08:58:53.6978240Z  * [new tag]                 viable/strict/1761688179    -> viable/strict/1761688179
2025-12-04T08:58:53.6979200Z  * [new tag]                 viable/strict/1761691973    -> viable/strict/1761691973
2025-12-04T08:58:53.6980187Z  * [new tag]                 viable/strict/1761693884    -> viable/strict/1761693884
2025-12-04T08:58:53.6980964Z  * [new tag]                 viable/strict/1761695389    -> viable/strict/1761695389
2025-12-04T08:58:53.6981954Z  * [new tag]                 viable/strict/1761698408    -> viable/strict/1761698408
2025-12-04T08:58:53.6982735Z  * [new tag]                 viable/strict/1761702931    -> viable/strict/1761702931
2025-12-04T08:58:53.6983718Z  * [new tag]                 viable/strict/1761706307    -> viable/strict/1761706307
2025-12-04T08:58:53.6984585Z  * [new tag]                 viable/strict/1761709065    -> viable/strict/1761709065
2025-12-04T08:58:53.6985582Z  * [new tag]                 viable/strict/1761710285    -> viable/strict/1761710285
2025-12-04T08:58:53.6986485Z  * [new tag]                 viable/strict/1761711983    -> viable/strict/1761711983
2025-12-04T08:58:53.6987478Z  * [new tag]                 viable/strict/1761713514    -> viable/strict/1761713514
2025-12-04T08:58:53.6988454Z  * [new tag]                 viable/strict/1761715523    -> viable/strict/1761715523
2025-12-04T08:58:53.6989373Z  * [new tag]                 viable/strict/1761727973    -> viable/strict/1761727973
2025-12-04T08:58:53.6990332Z  * [new tag]                 viable/strict/1761751558    -> viable/strict/1761751558
2025-12-04T08:58:53.6991240Z  * [new tag]                 viable/strict/1761755187    -> viable/strict/1761755187
2025-12-04T08:58:53.6992179Z  * [new tag]                 viable/strict/1761756826    -> viable/strict/1761756826
2025-12-04T08:58:53.6993089Z  * [new tag]                 viable/strict/1761769551    -> viable/strict/1761769551
2025-12-04T08:58:53.6994051Z  * [new tag]                 viable/strict/1761771032    -> viable/strict/1761771032
2025-12-04T08:58:53.6994751Z  * [new tag]                 viable/strict/1761773101    -> viable/strict/1761773101
2025-12-04T08:58:53.6995779Z  * [new tag]                 viable/strict/1761781792    -> viable/strict/1761781792
2025-12-04T08:58:53.6996839Z  * [new tag]                 viable/strict/1761784788    -> viable/strict/1761784788
2025-12-04T08:58:53.6997761Z  * [new tag]                 viable/strict/1761786740    -> viable/strict/1761786740
2025-12-04T08:58:53.6999128Z  * [new tag]                 viable/strict/1761789332    -> viable/strict/1761789332
2025-12-04T08:58:53.7000433Z  * [new tag]                 viable/strict/1761792569    -> viable/strict/1761792569
2025-12-04T08:58:53.7001438Z  * [new tag]                 viable/strict/1761795289    -> viable/strict/1761795289
2025-12-04T08:58:53.7002312Z  * [new tag]                 viable/strict/1761798345    -> viable/strict/1761798345
2025-12-04T08:58:53.7003234Z  * [new tag]                 viable/strict/1761799827    -> viable/strict/1761799827
2025-12-04T08:58:53.7004183Z  * [new tag]                 viable/strict/1761805604    -> viable/strict/1761805604
2025-12-04T08:58:53.7004961Z  * [new tag]                 viable/strict/1761807202    -> viable/strict/1761807202
2025-12-04T08:58:53.7005989Z  * [new tag]                 viable/strict/1761809094    -> viable/strict/1761809094
2025-12-04T08:58:53.7006993Z  * [new tag]                 viable/strict/1761810576    -> viable/strict/1761810576
2025-12-04T08:58:53.7007959Z  * [new tag]                 viable/strict/1761812771    -> viable/strict/1761812771
2025-12-04T08:58:53.7008815Z  * [new tag]                 viable/strict/1761814363    -> viable/strict/1761814363
2025-12-04T08:58:53.7009738Z  * [new tag]                 viable/strict/1761857410    -> viable/strict/1761857410
2025-12-04T08:58:53.7010641Z  * [new tag]                 viable/strict/1761860985    -> viable/strict/1761860985
2025-12-04T08:58:53.7011547Z  * [new tag]                 viable/strict/1761863094    -> viable/strict/1761863094
2025-12-04T08:58:53.7012456Z  * [new tag]                 viable/strict/1761864590    -> viable/strict/1761864590
2025-12-04T08:58:53.7013388Z  * [new tag]                 viable/strict/1761866675    -> viable/strict/1761866675
2025-12-04T08:58:53.7014458Z  * [new tag]                 viable/strict/1761868178    -> viable/strict/1761868178
2025-12-04T08:58:53.7015352Z  * [new tag]                 viable/strict/1761871111    -> viable/strict/1761871111
2025-12-04T08:58:53.7016297Z  * [new tag]                 viable/strict/1761873126    -> viable/strict/1761873126
2025-12-04T08:58:53.7017277Z  * [new tag]                 viable/strict/1761875714    -> viable/strict/1761875714
2025-12-04T08:58:53.7018173Z  * [new tag]                 viable/strict/1761878924    -> viable/strict/1761878924
2025-12-04T08:58:53.7019114Z  * [new tag]                 viable/strict/1761881727    -> viable/strict/1761881727
2025-12-04T08:58:53.7019969Z  * [new tag]                 viable/strict/1761882959    -> viable/strict/1761882959
2025-12-04T08:58:53.7020899Z  * [new tag]                 viable/strict/1761886268    -> viable/strict/1761886268
2025-12-04T08:58:53.7021926Z  * [new tag]                 viable/strict/1761893641    -> viable/strict/1761893641
2025-12-04T08:58:53.7022889Z  * [new tag]                 viable/strict/1761931517    -> viable/strict/1761931517
2025-12-04T08:58:53.7023786Z  * [new tag]                 viable/strict/1761933080    -> viable/strict/1761933080
2025-12-04T08:58:53.7024643Z  * [new tag]                 viable/strict/1761935217    -> viable/strict/1761935217
2025-12-04T08:58:53.7025622Z  * [new tag]                 viable/strict/1761938533    -> viable/strict/1761938533
2025-12-04T08:58:53.7026532Z  * [new tag]                 viable/strict/1761940184    -> viable/strict/1761940184
2025-12-04T08:58:53.7027503Z  * [new tag]                 viable/strict/1761942338    -> viable/strict/1761942338
2025-12-04T08:58:53.7028354Z  * [new tag]                 viable/strict/1761946100    -> viable/strict/1761946100
2025-12-04T08:58:53.7029279Z  * [new tag]                 viable/strict/1761947374    -> viable/strict/1761947374
2025-12-04T08:58:53.7030230Z  * [new tag]                 viable/strict/1761950978    -> viable/strict/1761950978
2025-12-04T08:58:53.7031240Z  * [new tag]                 viable/strict/1761957727    -> viable/strict/1761957727
2025-12-04T08:58:53.7032103Z  * [new tag]                 viable/strict/1761959532    -> viable/strict/1761959532
2025-12-04T08:58:53.7033112Z  * [new tag]                 viable/strict/1761965366    -> viable/strict/1761965366
2025-12-04T08:58:53.7034149Z  * [new tag]                 viable/strict/1761968066    -> viable/strict/1761968066
2025-12-04T08:58:53.7035044Z  * [new tag]                 viable/strict/1761969322    -> viable/strict/1761969322
2025-12-04T08:58:53.7037521Z  * [new tag]                 viable/strict/1761974723    -> viable/strict/1761974723
2025-12-04T08:58:53.7037708Z  * [new tag]                 viable/strict/1761981837    -> viable/strict/1761981837
2025-12-04T08:58:53.7038322Z  * [new tag]                 viable/strict/1761985546    -> viable/strict/1761985546
2025-12-04T08:58:53.7038639Z  * [new tag]                 viable/strict/1761987030    -> viable/strict/1761987030
2025-12-04T08:58:53.7039720Z  * [new tag]                 viable/strict/1762003554    -> viable/strict/1762003554
2025-12-04T08:58:53.7040652Z  * [new tag]                 viable/strict/1762021560    -> viable/strict/1762021560
2025-12-04T08:58:53.7041509Z  * [new tag]                 viable/strict/1762032190    -> viable/strict/1762032190
2025-12-04T08:58:53.7042450Z  * [new tag]                 viable/strict/1762040981    -> viable/strict/1762040981
2025-12-04T08:58:53.7043389Z  * [new tag]                 viable/strict/1762048525    -> viable/strict/1762048525
2025-12-04T08:58:53.7044298Z  * [new tag]                 viable/strict/1762104223    -> viable/strict/1762104223
2025-12-04T08:58:53.7045203Z  * [new tag]                 viable/strict/1762105778    -> viable/strict/1762105778
2025-12-04T08:58:53.7046126Z  * [new tag]                 viable/strict/1762115109    -> viable/strict/1762115109
2025-12-04T08:58:53.7047179Z  * [new tag]                 viable/strict/1762125840    -> viable/strict/1762125840
2025-12-04T08:58:53.7047875Z  * [new tag]                 viable/strict/1762127377    -> viable/strict/1762127377
2025-12-04T08:58:53.7049190Z  * [new tag]                 viable/strict/1762134925    -> viable/strict/1762134925
2025-12-04T08:58:53.7049893Z  * [new tag]                 viable/strict/1762138338    -> viable/strict/1762138338
2025-12-04T08:58:53.7051010Z  * [new tag]                 viable/strict/1762148993    -> viable/strict/1762148993
2025-12-04T08:58:53.7051914Z  * [new tag]                 viable/strict/1762152871    -> viable/strict/1762152871
2025-12-04T08:58:53.7052765Z  * [new tag]                 viable/strict/1762156183    -> viable/strict/1762156183
2025-12-04T08:58:53.7053699Z  * [new tag]                 viable/strict/1762163457    -> viable/strict/1762163457
2025-12-04T08:58:53.7054476Z  * [new tag]                 viable/strict/1762165569    -> viable/strict/1762165569
2025-12-04T08:58:53.7055384Z  * [new tag]                 viable/strict/1762169035    -> viable/strict/1762169035
2025-12-04T08:58:53.7056383Z  * [new tag]                 viable/strict/1762174936    -> viable/strict/1762174936
2025-12-04T08:58:53.7057236Z  * [new tag]                 viable/strict/1762194412    -> viable/strict/1762194412
2025-12-04T08:58:53.7058198Z  * [new tag]                 viable/strict/1762195876    -> viable/strict/1762195876
2025-12-04T08:58:53.7059511Z  * [new tag]                 viable/strict/1762197788    -> viable/strict/1762197788
2025-12-04T08:58:53.7060485Z  * [new tag]                 viable/strict/1762199389    -> viable/strict/1762199389
2025-12-04T08:58:53.7061652Z  * [new tag]                 viable/strict/1762206585    -> viable/strict/1762206585
2025-12-04T08:58:53.7062689Z  * [new tag]                 viable/strict/1762210184    -> viable/strict/1762210184
2025-12-04T08:58:53.7063385Z  * [new tag]                 viable/strict/1762218736    -> viable/strict/1762218736
2025-12-04T08:58:53.7064378Z  * [new tag]                 viable/strict/1762224529    -> viable/strict/1762224529
2025-12-04T08:58:53.7065328Z  * [new tag]                 viable/strict/1762227253    -> viable/strict/1762227253
2025-12-04T08:58:53.7066014Z  * [new tag]                 viable/strict/1762228515    -> viable/strict/1762228515
2025-12-04T08:58:53.7067206Z  * [new tag]                 viable/strict/1762230349    -> viable/strict/1762230349
2025-12-04T08:58:53.7067937Z  * [new tag]                 viable/strict/1762231859    -> viable/strict/1762231859
2025-12-04T08:58:53.7068961Z  * [new tag]                 viable/strict/1762233925    -> viable/strict/1762233925
2025-12-04T08:58:53.7069962Z  * [new tag]                 viable/strict/1762237630    -> viable/strict/1762237630
2025-12-04T08:58:53.7070665Z  * [new tag]                 viable/strict/1762253522    -> viable/strict/1762253522
2025-12-04T08:58:53.7071860Z  * [new tag]                 viable/strict/1762278588    -> viable/strict/1762278588
2025-12-04T08:58:53.7072779Z  * [new tag]                 viable/strict/1762284203    -> viable/strict/1762284203
2025-12-04T08:58:53.7073727Z  * [new tag]                 viable/strict/1762289446    -> viable/strict/1762289446
2025-12-04T08:58:53.7074629Z  * [new tag]                 viable/strict/1762291515    -> viable/strict/1762291515
2025-12-04T08:58:53.7075547Z  * [new tag]                 viable/strict/1762295100    -> viable/strict/1762295100
2025-12-04T08:58:53.7076247Z  * [new tag]                 viable/strict/1762296590    -> viable/strict/1762296590
2025-12-04T08:58:53.7076992Z  * [new tag]                 viable/strict/1762300179    -> viable/strict/1762300179
2025-12-04T08:58:53.7077749Z  * [new tag]                 viable/strict/1762303207    -> viable/strict/1762303207
2025-12-04T08:58:53.7078788Z  * [new tag]                 viable/strict/1762386584    -> viable/strict/1762386584
2025-12-04T08:58:53.7079698Z  * [new tag]                 viable/strict/1762391537    -> viable/strict/1762391537
2025-12-04T08:58:53.7080384Z  * [new tag]                 viable/strict/1762394119    -> viable/strict/1762394119
2025-12-04T08:58:53.7081693Z  * [new tag]                 viable/strict/1762397437    -> viable/strict/1762397437
2025-12-04T08:58:53.7082613Z  * [new tag]                 viable/strict/1762400256    -> viable/strict/1762400256
2025-12-04T08:58:53.7083599Z  * [new tag]                 viable/strict/1762401469    -> viable/strict/1762401469
2025-12-04T08:58:53.7084517Z  * [new tag]                 viable/strict/1762408195    -> viable/strict/1762408195
2025-12-04T08:58:53.7085460Z  * [new tag]                 viable/strict/1762410411    -> viable/strict/1762410411
2025-12-04T08:58:53.7086436Z  * [new tag]                 viable/strict/1762417613    -> viable/strict/1762417613
2025-12-04T08:58:53.7087434Z  * [new tag]                 viable/strict/1762419198    -> viable/strict/1762419198
2025-12-04T08:58:53.7088431Z  * [new tag]                 viable/strict/1762422656    -> viable/strict/1762422656
2025-12-04T08:58:53.7089750Z  * [new tag]                 viable/strict/1762424746    -> viable/strict/1762424746
2025-12-04T08:58:53.7090709Z  * [new tag]                 viable/strict/1762446386    -> viable/strict/1762446386
2025-12-04T08:58:53.7091776Z  * [new tag]                 viable/strict/1762449912    -> viable/strict/1762449912
2025-12-04T08:58:53.7092634Z  * [new tag]                 viable/strict/1762457031    -> viable/strict/1762457031
2025-12-04T08:58:53.7093579Z  * [new tag]                 viable/strict/1762462441    -> viable/strict/1762462441
2025-12-04T08:58:53.7094513Z  * [new tag]                 viable/strict/1762467909    -> viable/strict/1762467909
2025-12-04T08:58:53.7095510Z  * [new tag]                 viable/strict/1762471493    -> viable/strict/1762471493
2025-12-04T08:58:53.7096436Z  * [new tag]                 viable/strict/1762475990    -> viable/strict/1762475990
2025-12-04T08:58:53.7097587Z  * [new tag]                 viable/strict/1762477933    -> viable/strict/1762477933
2025-12-04T08:58:53.7098484Z  * [new tag]                 viable/strict/1762491053    -> viable/strict/1762491053
2025-12-04T08:58:53.7099453Z  * [new tag]                 viable/strict/1762493118    -> viable/strict/1762493118
2025-12-04T08:58:53.7100221Z  * [new tag]                 viable/strict/1762498442    -> viable/strict/1762498442
2025-12-04T08:58:53.7101334Z  * [new tag]                 viable/strict/1762501778    -> viable/strict/1762501778
2025-12-04T08:58:53.7102108Z  * [new tag]                 viable/strict/1762504001    -> viable/strict/1762504001
2025-12-04T08:58:53.7103250Z  * [new tag]                 viable/strict/1762505583    -> viable/strict/1762505583
2025-12-04T08:58:53.7104185Z  * [new tag]                 viable/strict/1762507523    -> viable/strict/1762507523
2025-12-04T08:58:53.7105221Z  * [new tag]                 viable/strict/1762511140    -> viable/strict/1762511140
2025-12-04T08:58:53.7106255Z  * [new tag]                 viable/strict/1762512632    -> viable/strict/1762512632
2025-12-04T08:58:53.7107230Z  * [new tag]                 viable/strict/1762520467    -> viable/strict/1762520467
2025-12-04T08:58:53.7108132Z  * [new tag]                 viable/strict/1762522016    -> viable/strict/1762522016
2025-12-04T08:58:53.7109017Z  * [new tag]                 viable/strict/1762530591    -> viable/strict/1762530591
2025-12-04T08:58:53.7109949Z  * [new tag]                 viable/strict/1762543405    -> viable/strict/1762543405
2025-12-04T08:58:53.7110651Z  * [new tag]                 viable/strict/1762544998    -> viable/strict/1762544998
2025-12-04T08:58:53.7111615Z  * [new tag]                 viable/strict/1762552182    -> viable/strict/1762552182
2025-12-04T08:58:53.7112504Z  * [new tag]                 viable/strict/1762554297    -> viable/strict/1762554297
2025-12-04T08:58:53.7113222Z  * [new tag]                 viable/strict/1762559381    -> viable/strict/1762559381
2025-12-04T08:58:53.7114260Z  * [new tag]                 viable/strict/1762562222    -> viable/strict/1762562222
2025-12-04T08:58:53.7115166Z  * [new tag]                 viable/strict/1762564319    -> viable/strict/1762564319
2025-12-04T08:58:53.7115890Z  * [new tag]                 viable/strict/1762566904    -> viable/strict/1762566904
2025-12-04T08:58:53.7116859Z  * [new tag]                 viable/strict/1762569781    -> viable/strict/1762569781
2025-12-04T08:58:53.7117780Z  * [new tag]                 viable/strict/1762575940    -> viable/strict/1762575940
2025-12-04T08:58:53.7118686Z  * [new tag]                 viable/strict/1762580974    -> viable/strict/1762580974
2025-12-04T08:58:53.7119979Z  * [new tag]                 viable/strict/1762583185    -> viable/strict/1762583185
2025-12-04T08:58:53.7120910Z  * [new tag]                 viable/strict/1762586647    -> viable/strict/1762586647
2025-12-04T08:58:53.7121957Z  * [new tag]                 viable/strict/1762588183    -> viable/strict/1762588183
2025-12-04T08:58:53.7122907Z  * [new tag]                 viable/strict/1762593886    -> viable/strict/1762593886
2025-12-04T08:58:53.7123712Z  * [new tag]                 viable/strict/1762650743    -> viable/strict/1762650743
2025-12-04T08:58:53.7124798Z  * [new tag]                 viable/strict/1762653328    -> viable/strict/1762653328
2025-12-04T08:58:53.7125665Z  * [new tag]                 viable/strict/1762659342    -> viable/strict/1762659342
2025-12-04T08:58:53.7126661Z  * [new tag]                 viable/strict/1762662360    -> viable/strict/1762662360
2025-12-04T08:58:53.7127720Z  * [new tag]                 viable/strict/1762667377    -> viable/strict/1762667377
2025-12-04T08:58:53.7128615Z  * [new tag]                 viable/strict/1762671090    -> viable/strict/1762671090
2025-12-04T08:58:53.7129555Z  * [new tag]                 viable/strict/1762680284    -> viable/strict/1762680284
2025-12-04T08:58:53.7130477Z  * [new tag]                 viable/strict/1762683900    -> viable/strict/1762683900
2025-12-04T08:58:53.7131408Z  * [new tag]                 viable/strict/1762705541    -> viable/strict/1762705541
2025-12-04T08:58:53.7132377Z  * [new tag]                 viable/strict/1762709004    -> viable/strict/1762709004
2025-12-04T08:58:53.7133338Z  * [new tag]                 viable/strict/1762746004    -> viable/strict/1762746004
2025-12-04T08:58:53.7134394Z  * [new tag]                 viable/strict/1762748799    -> viable/strict/1762748799
2025-12-04T08:58:53.7135386Z  * [new tag]                 viable/strict/1762759504    -> viable/strict/1762759504
2025-12-04T08:58:53.7136370Z  * [new tag]                 viable/strict/1762760973    -> viable/strict/1762760973
2025-12-04T08:58:53.7137260Z  * [new tag]                 viable/strict/1762775374    -> viable/strict/1762775374
2025-12-04T08:58:53.7138206Z  * [new tag]                 viable/strict/1762777661    -> viable/strict/1762777661
2025-12-04T08:58:53.7139119Z  * [new tag]                 viable/strict/1762779774    -> viable/strict/1762779774
2025-12-04T08:58:53.7140212Z  * [new tag]                 viable/strict/1762781259    -> viable/strict/1762781259
2025-12-04T08:58:53.7141206Z  * [new tag]                 viable/strict/1762793628    -> viable/strict/1762793628
2025-12-04T08:58:53.7142141Z  * [new tag]                 viable/strict/1762800711    -> viable/strict/1762800711
2025-12-04T08:58:53.7143083Z  * [new tag]                 viable/strict/1762809894    -> viable/strict/1762809894
2025-12-04T08:58:53.7143982Z  * [new tag]                 viable/strict/1762811384    -> viable/strict/1762811384
2025-12-04T08:58:53.7144992Z  * [new tag]                 viable/strict/1762813841    -> viable/strict/1762813841
2025-12-04T08:58:53.7145930Z  * [new tag]                 viable/strict/1762815047    -> viable/strict/1762815047
2025-12-04T08:58:53.7147015Z  * [new tag]                 viable/strict/1762817094    -> viable/strict/1762817094
2025-12-04T08:58:53.7147959Z  * [new tag]                 viable/strict/1762818582    -> viable/strict/1762818582
2025-12-04T08:58:53.7148872Z  * [new tag]                 viable/strict/1762821623    -> viable/strict/1762821623
2025-12-04T08:58:53.7149584Z  * [new tag]                 viable/strict/1762823531    -> viable/strict/1762823531
2025-12-04T08:58:53.7150650Z  * [new tag]                 viable/strict/1762849583    -> viable/strict/1762849583
2025-12-04T08:58:53.7151663Z  * [new tag]                 viable/strict/1762851200    -> viable/strict/1762851200
2025-12-04T08:58:53.7152685Z  * [new tag]                 viable/strict/1762854603    -> viable/strict/1762854603
2025-12-04T08:58:53.7153659Z  * [new tag]                 viable/strict/1762858276    -> viable/strict/1762858276
2025-12-04T08:58:53.7154639Z  * [new tag]                 viable/strict/1762860891    -> viable/strict/1762860891
2025-12-04T08:58:53.7156130Z  * [new tag]                 viable/strict/1762866174    -> viable/strict/1762866174
2025-12-04T08:58:53.7157049Z  * [new tag]                 viable/strict/1762867653    -> viable/strict/1762867653
2025-12-04T08:58:53.7157994Z  * [new tag]                 viable/strict/1762872669    -> viable/strict/1762872669
2025-12-04T08:58:53.7158693Z  * [new tag]                 viable/strict/1762878380    -> viable/strict/1762878380
2025-12-04T08:58:53.7159792Z  * [new tag]                 viable/strict/1762889003    -> viable/strict/1762889003
2025-12-04T08:58:53.7160691Z  * [new tag]                 viable/strict/1762890589    -> viable/strict/1762890589
2025-12-04T08:58:53.7161630Z  * [new tag]                 viable/strict/1762892743    -> viable/strict/1762892743
2025-12-04T08:58:53.7162577Z  * [new tag]                 viable/strict/1762894271    -> viable/strict/1762894271
2025-12-04T08:58:53.7163320Z  * [new tag]                 viable/strict/1762896287    -> viable/strict/1762896287
2025-12-04T08:58:53.7164338Z  * [new tag]                 viable/strict/1762915871    -> viable/strict/1762915871
2025-12-04T08:58:53.7165295Z  * [new tag]                 viable/strict/1762918569    -> viable/strict/1762918569
2025-12-04T08:58:53.7166019Z  * [new tag]                 viable/strict/1762919776    -> viable/strict/1762919776
2025-12-04T08:58:53.7167089Z  * [new tag]                 viable/strict/1762923072    -> viable/strict/1762923072
2025-12-04T08:58:53.7168152Z  * [new tag]                 viable/strict/1762928826    -> viable/strict/1762928826
2025-12-04T08:58:53.7169162Z  * [new tag]                 viable/strict/1762930451    -> viable/strict/1762930451
2025-12-04T08:58:53.7170137Z  * [new tag]                 viable/strict/1762933780    -> viable/strict/1762933780
2025-12-04T08:58:53.7171108Z  * [new tag]                 viable/strict/1762937638    -> viable/strict/1762937638
2025-12-04T08:58:53.7172155Z  * [new tag]                 viable/strict/1762939545    -> viable/strict/1762939545
2025-12-04T08:58:53.7173109Z  * [new tag]                 viable/strict/1762962692    -> viable/strict/1762962692
2025-12-04T08:58:53.7174024Z  * [new tag]                 viable/strict/1762979143    -> viable/strict/1762979143
2025-12-04T08:58:53.7175007Z  * [new tag]                 viable/strict/1762984188    -> viable/strict/1762984188
2025-12-04T08:58:53.7175713Z  * [new tag]                 viable/strict/1762986306    -> viable/strict/1762986306
2025-12-04T08:58:53.7176718Z  * [new tag]                 viable/strict/1762989903    -> viable/strict/1762989903
2025-12-04T08:58:53.7177633Z  * [new tag]                 viable/strict/1762991377    -> viable/strict/1762991377
2025-12-04T08:58:53.7178543Z  * [new tag]                 viable/strict/1762998921    -> viable/strict/1762998921
2025-12-04T08:58:53.7179678Z  * [new tag]                 viable/strict/1763002287    -> viable/strict/1763002287
2025-12-04T08:58:53.7180617Z  * [new tag]                 viable/strict/1763016840    -> viable/strict/1763016840
2025-12-04T08:58:53.7181924Z  * [new tag]                 viable/strict/1763020180    -> viable/strict/1763020180
2025-12-04T08:58:53.7182923Z  * [new tag]                 viable/strict/1763027421    -> viable/strict/1763027421
2025-12-04T08:58:53.7183937Z  * [new tag]                 viable/strict/1763031120    -> viable/strict/1763031120
2025-12-04T08:58:53.7184938Z  * [new tag]                 viable/strict/1763036861    -> viable/strict/1763036861
2025-12-04T08:58:53.7185867Z  * [new tag]                 viable/strict/1763038993    -> viable/strict/1763038993
2025-12-04T08:58:53.7186879Z  * [new tag]                 viable/strict/1763054703    -> viable/strict/1763054703
2025-12-04T08:58:53.7187590Z  * [new tag]                 viable/strict/1763067061    -> viable/strict/1763067061
2025-12-04T08:58:53.7188632Z  * [new tag]                 viable/strict/1763070847    -> viable/strict/1763070847
2025-12-04T08:58:53.7189603Z  * [new tag]                 viable/strict/1763072706    -> viable/strict/1763072706
2025-12-04T08:58:53.7190574Z  * [new tag]                 viable/strict/1763076302    -> viable/strict/1763076302
2025-12-04T08:58:53.7191482Z  * [new tag]                 viable/strict/1763080816    -> viable/strict/1763080816
2025-12-04T08:58:53.7192404Z  * [new tag]                 viable/strict/1763082732    -> viable/strict/1763082732
2025-12-04T08:58:53.7193248Z  * [new tag]                 viable/strict/1763085329    -> viable/strict/1763085329
2025-12-04T08:58:53.7194289Z  * [new tag]                 viable/strict/1763088623    -> viable/strict/1763088623
2025-12-04T08:58:53.7195288Z  * [new tag]                 viable/strict/1763091402    -> viable/strict/1763091402
2025-12-04T08:58:53.7196223Z  * [new tag]                 viable/strict/1763092602    -> viable/strict/1763092602
2025-12-04T08:58:53.7201006Z  * [new tag]                 viable/strict/1763094355    -> viable/strict/1763094355
2025-12-04T08:58:53.7202164Z  * [new tag]                 viable/strict/1763099390    -> viable/strict/1763099390
2025-12-04T08:58:53.7203152Z  * [new tag]                 viable/strict/1763101608    -> viable/strict/1763101608
2025-12-04T08:58:53.7204121Z  * [new tag]                 viable/strict/1763105102    -> viable/strict/1763105102
2025-12-04T08:58:53.7205094Z  * [new tag]                 viable/strict/1763112347    -> viable/strict/1763112347
2025-12-04T08:58:53.7206049Z  * [new tag]                 viable/strict/1763119471    -> viable/strict/1763119471
2025-12-04T08:58:53.7206785Z  * [new tag]                 viable/strict/1763126835    -> viable/strict/1763126835
2025-12-04T08:58:53.7207763Z  * [new tag]                 viable/strict/1763149779    -> viable/strict/1763149779
2025-12-04T08:58:53.7208812Z  * [new tag]                 viable/strict/1763164178    -> viable/strict/1763164178
2025-12-04T08:58:53.7209532Z  * [new tag]                 viable/strict/1763167104    -> viable/strict/1763167104
2025-12-04T08:58:53.7210512Z  * [new tag]                 viable/strict/1763169132    -> viable/strict/1763169132
2025-12-04T08:58:53.7211430Z  * [new tag]                 viable/strict/1763171708    -> viable/strict/1763171708
2025-12-04T08:58:53.7212341Z  * [new tag]                 viable/strict/1763174759    -> viable/strict/1763174759
2025-12-04T08:58:53.7213319Z  * [new tag]                 viable/strict/1763180744    -> viable/strict/1763180744
2025-12-04T08:58:53.7214245Z  * [new tag]                 viable/strict/1763182227    -> viable/strict/1763182227
2025-12-04T08:58:53.7215183Z  * [new tag]                 viable/strict/1763184309    -> viable/strict/1763184309
2025-12-04T08:58:53.7216594Z  * [new tag]                 viable/strict/1763187991    -> viable/strict/1763187991
2025-12-04T08:58:53.7217490Z  * [new tag]                 viable/strict/1763191445    -> viable/strict/1763191445
2025-12-04T08:58:53.7218741Z  * [new tag]                 viable/strict/1763195152    -> viable/strict/1763195152
2025-12-04T08:58:53.7219453Z  * [new tag]                 viable/strict/1763205769    -> viable/strict/1763205769
2025-12-04T08:58:53.7220499Z  * [new tag]                 viable/strict/1763246990    -> viable/strict/1763246990
2025-12-04T08:58:53.7221465Z  * [new tag]                 viable/strict/1763261578    -> viable/strict/1763261578
2025-12-04T08:58:53.7222210Z  * [new tag]                 viable/strict/1763286573    -> viable/strict/1763286573
2025-12-04T08:58:53.7222979Z  * [new tag]                 viable/strict/1763292167    -> viable/strict/1763292167
2025-12-04T08:58:53.7224091Z  * [new tag]                 viable/strict/1763333386    -> viable/strict/1763333386
2025-12-04T08:58:53.7224988Z  * [new tag]                 viable/strict/1763340082    -> viable/strict/1763340082
2025-12-04T08:58:53.7226607Z  * [new tag]                 viable/strict/1763364324    -> viable/strict/1763364324
2025-12-04T08:58:53.7227551Z  * [new tag]                 viable/strict/1763371569    -> viable/strict/1763371569
2025-12-04T08:58:53.7228513Z  * [new tag]                 viable/strict/1763373067    -> viable/strict/1763373067
2025-12-04T08:58:53.7229482Z  * [new tag]                 viable/strict/1763375157    -> viable/strict/1763375157
2025-12-04T08:58:53.7230393Z  * [new tag]                 viable/strict/1763382462    -> viable/strict/1763382462
2025-12-04T08:58:53.7231333Z  * [new tag]                 viable/strict/1763394661    -> viable/strict/1763394661
2025-12-04T08:58:53.7232544Z  * [new tag]                 viable/strict/1763396797    -> viable/strict/1763396797
2025-12-04T08:58:53.7233467Z  * [new tag]                 viable/strict/1763398542    -> viable/strict/1763398542
2025-12-04T08:58:53.7234407Z  * [new tag]                 viable/strict/1763401807    -> viable/strict/1763401807
2025-12-04T08:58:53.7235115Z  * [new tag]                 viable/strict/1763414698    -> viable/strict/1763414698
2025-12-04T08:58:53.7236183Z  * [new tag]                 viable/strict/1763419807    -> viable/strict/1763419807
2025-12-04T08:58:53.7237100Z  * [new tag]                 viable/strict/1763426369    -> viable/strict/1763426369
2025-12-04T08:58:53.7238061Z  * [new tag]                 viable/strict/1763428331    -> viable/strict/1763428331
2025-12-04T08:58:53.7239038Z  * [new tag]                 viable/strict/1763430922    -> viable/strict/1763430922
2025-12-04T08:58:53.7239739Z  * [new tag]                 viable/strict/1763434184    -> viable/strict/1763434184
2025-12-04T08:58:53.7240742Z  * [new tag]                 viable/strict/1763439973    -> viable/strict/1763439973
2025-12-04T08:58:53.7241724Z  * [new tag]                 viable/strict/1763444995    -> viable/strict/1763444995
2025-12-04T08:58:53.7242696Z  * [new tag]                 viable/strict/1763447206    -> viable/strict/1763447206
2025-12-04T08:58:53.7243612Z  * [new tag]                 viable/strict/1763448826    -> viable/strict/1763448826
2025-12-04T08:58:53.7244548Z  * [new tag]                 viable/strict/1763450717    -> viable/strict/1763450717
2025-12-04T08:58:53.7245486Z  * [new tag]                 viable/strict/1763452183    -> viable/strict/1763452183
2025-12-04T08:58:53.7246484Z  * [new tag]                 viable/strict/1763457945    -> viable/strict/1763457945
2025-12-04T08:58:53.7247955Z  * [new tag]                 viable/strict/1763459439    -> viable/strict/1763459439
2025-12-04T08:58:53.7248676Z  * [new tag]                 viable/strict/1763461556    -> viable/strict/1763461556
2025-12-04T08:58:53.7249814Z  * [new tag]                 viable/strict/1763463103    -> viable/strict/1763463103
2025-12-04T08:58:53.7250784Z  * [new tag]                 viable/strict/1763465100    -> viable/strict/1763465100
2025-12-04T08:58:53.7251497Z  * [new tag]                 viable/strict/1763468866    -> viable/strict/1763468866
2025-12-04T08:58:53.7252373Z  * [new tag]                 viable/strict/1763493823    -> viable/strict/1763493823
2025-12-04T08:58:53.7253089Z  * [new tag]                 viable/strict/1763496249    -> viable/strict/1763496249
2025-12-04T08:58:53.7254131Z  * [new tag]                 viable/strict/1763502620    -> viable/strict/1763502620
2025-12-04T08:58:53.7255137Z  * [new tag]                 viable/strict/1763504715    -> viable/strict/1763504715
2025-12-04T08:58:53.7256088Z  * [new tag]                 viable/strict/1763506208    -> viable/strict/1763506208
2025-12-04T08:58:53.7257049Z  * [new tag]                 viable/strict/1763520590    -> viable/strict/1763520590
2025-12-04T08:58:53.7258009Z  * [new tag]                 viable/strict/1763523357    -> viable/strict/1763523357
2025-12-04T08:58:53.7259007Z  * [new tag]                 viable/strict/1763529922    -> viable/strict/1763529922
2025-12-04T08:58:53.7260030Z  * [new tag]                 viable/strict/1763531408    -> viable/strict/1763531408
2025-12-04T08:58:53.7260950Z  * [new tag]                 viable/strict/1763533622    -> viable/strict/1763533622
2025-12-04T08:58:53.7261876Z  * [new tag]                 viable/strict/1763538576    -> viable/strict/1763538576
2025-12-04T08:58:53.7262901Z  * [new tag]                 viable/strict/1763545823    -> viable/strict/1763545823
2025-12-04T08:58:53.7263616Z  * [new tag]                 viable/strict/1763547951    -> viable/strict/1763547951
2025-12-04T08:58:53.7264690Z  * [new tag]                 viable/strict/1763551477    -> viable/strict/1763551477
2025-12-04T08:58:53.7265629Z  * [new tag]                 viable/strict/1763552982    -> viable/strict/1763552982
2025-12-04T08:58:53.7266433Z  * [new tag]                 viable/strict/1763594698    -> viable/strict/1763594698
2025-12-04T08:58:53.7267506Z  * [new tag]                 viable/strict/1763596178    -> viable/strict/1763596178
2025-12-04T08:58:53.7268479Z  * [new tag]                 viable/strict/1763599155    -> viable/strict/1763599155
2025-12-04T08:58:53.7269491Z  * [new tag]                 viable/strict/1763603717    -> viable/strict/1763603717
2025-12-04T08:58:53.7270421Z  * [new tag]                 viable/strict/1763606923    -> viable/strict/1763606923
2025-12-04T08:58:53.7271337Z  * [new tag]                 viable/strict/1763609715    -> viable/strict/1763609715
2025-12-04T08:58:53.7272293Z  * [new tag]                 viable/strict/1763612757    -> viable/strict/1763612757
2025-12-04T08:58:53.7273197Z  * [new tag]                 viable/strict/1763616325    -> viable/strict/1763616325
2025-12-04T08:58:53.7274113Z  * [new tag]                 viable/strict/1763623509    -> viable/strict/1763623509
2025-12-04T08:58:53.7275208Z  * [new tag]                 viable/strict/1763624984    -> viable/strict/1763624984
2025-12-04T08:58:53.7276178Z  * [new tag]                 viable/strict/1763628796    -> viable/strict/1763628796
2025-12-04T08:58:53.7277177Z  * [new tag]                 viable/strict/1763634343    -> viable/strict/1763634343
2025-12-04T08:58:53.7277888Z  * [new tag]                 viable/strict/1763635867    -> viable/strict/1763635867
2025-12-04T08:58:53.7279083Z  * [new tag]                 viable/strict/1763639382    -> viable/strict/1763639382
2025-12-04T08:58:53.7280117Z  * [new tag]                 viable/strict/1763646626    -> viable/strict/1763646626
2025-12-04T08:58:53.7281160Z  * [new tag]                 viable/strict/1763655997    -> viable/strict/1763655997
2025-12-04T08:58:53.7282146Z  * [new tag]                 viable/strict/1763659444    -> viable/strict/1763659444
2025-12-04T08:58:53.7283028Z  * [new tag]                 viable/strict/1763660992    -> viable/strict/1763660992
2025-12-04T08:58:53.7283925Z  * [new tag]                 viable/strict/1763663201    -> viable/strict/1763663201
2025-12-04T08:58:53.7284896Z  * [new tag]                 viable/strict/1763670362    -> viable/strict/1763670362
2025-12-04T08:58:53.7285630Z  * [new tag]                 viable/strict/1763675378    -> viable/strict/1763675378
2025-12-04T08:58:53.7286622Z  * [new tag]                 viable/strict/1763693343    -> viable/strict/1763693343
2025-12-04T08:58:53.7287667Z  * [new tag]                 viable/strict/1763696088    -> viable/strict/1763696088
2025-12-04T08:58:53.7288754Z  * [new tag]                 viable/strict/1763697343    -> viable/strict/1763697343
2025-12-04T08:58:53.7289658Z  * [new tag]                 viable/strict/1763699165    -> viable/strict/1763699165
2025-12-04T08:58:53.7290641Z  * [new tag]                 viable/strict/1763700660    -> viable/strict/1763700660
2025-12-04T08:58:53.7291500Z  * [new tag]                 viable/strict/1763704209    -> viable/strict/1763704209
2025-12-04T08:58:53.7292486Z  * [new tag]                 viable/strict/1763706411    -> viable/strict/1763706411
2025-12-04T08:58:53.7293377Z  * [new tag]                 viable/strict/1763708082    -> viable/strict/1763708082
2025-12-04T08:58:53.7294140Z  * [new tag]                 viable/strict/1763711381    -> viable/strict/1763711381
2025-12-04T08:58:53.7295069Z  * [new tag]                 viable/strict/1763713593    -> viable/strict/1763713593
2025-12-04T08:58:53.7295968Z  * [new tag]                 viable/strict/1763715201    -> viable/strict/1763715201
2025-12-04T08:58:53.7296975Z  * [new tag]                 viable/strict/1763733017    -> viable/strict/1763733017
2025-12-04T08:58:53.7297998Z  * [new tag]                 viable/strict/1763735108    -> viable/strict/1763735108
2025-12-04T08:58:53.7298908Z  * [new tag]                 viable/strict/1763749579    -> viable/strict/1763749579
2025-12-04T08:58:53.7299813Z  * [new tag]                 viable/strict/1763751113    -> viable/strict/1763751113
2025-12-04T08:58:53.7300660Z  * [new tag]                 viable/strict/1763753035    -> viable/strict/1763753035
2025-12-04T08:58:53.7301724Z  * [new tag]                 viable/strict/1763754578    -> viable/strict/1763754578
2025-12-04T08:58:53.7302687Z  * [new tag]                 viable/strict/1763756748    -> viable/strict/1763756748
2025-12-04T08:58:53.7303556Z  * [new tag]                 viable/strict/1763758205    -> viable/strict/1763758205
2025-12-04T08:58:53.7304282Z  * [new tag]                 viable/strict/1763764050    -> viable/strict/1763764050
2025-12-04T08:58:53.7305283Z  * [new tag]                 viable/strict/1763771887    -> viable/strict/1763771887
2025-12-04T08:58:53.7306345Z  * [new tag]                 viable/strict/1763773920    -> viable/strict/1763773920
2025-12-04T08:58:53.7307197Z  * [new tag]                 viable/strict/1763776501    -> viable/strict/1763776501
2025-12-04T08:58:53.7308543Z  * [new tag]                 viable/strict/1763779437    -> viable/strict/1763779437
2025-12-04T08:58:53.7309670Z  * [new tag]                 viable/strict/1763781038    -> viable/strict/1763781038
2025-12-04T08:58:53.7310458Z  * [new tag]                 viable/strict/1763782245    -> viable/strict/1763782245
2025-12-04T08:58:53.7311636Z  * [new tag]                 viable/strict/1763785568    -> viable/strict/1763785568
2025-12-04T08:58:53.7312346Z  * [new tag]                 viable/strict/1763787006    -> viable/strict/1763787006
2025-12-04T08:58:53.7313431Z  * [new tag]                 viable/strict/1763789103    -> viable/strict/1763789103
2025-12-04T08:58:53.7314583Z  * [new tag]                 viable/strict/1763790578    -> viable/strict/1763790578
2025-12-04T08:58:53.7315454Z  * [new tag]                 viable/strict/1763796275    -> viable/strict/1763796275
2025-12-04T08:58:53.7316656Z  * [new tag]                 viable/strict/1763801465    -> viable/strict/1763801465
2025-12-04T08:58:53.7317585Z  * [new tag]                 viable/strict/1763803522    -> viable/strict/1763803522
2025-12-04T08:58:53.7318345Z  * [new tag]                 viable/strict/1763808581    -> viable/strict/1763808581
2025-12-04T08:58:53.7319317Z  * [new tag]                 viable/strict/1763840977    -> viable/strict/1763840977
2025-12-04T08:58:53.7320264Z  * [new tag]                 viable/strict/1763846659    -> viable/strict/1763846659
2025-12-04T08:58:53.7321034Z  * [new tag]                 viable/strict/1763872065    -> viable/strict/1763872065
2025-12-04T08:58:53.7322158Z  * [new tag]                 viable/strict/1763873648    -> viable/strict/1763873648
2025-12-04T08:58:53.7323062Z  * [new tag]                 viable/strict/1763875506    -> viable/strict/1763875506
2025-12-04T08:58:53.7323837Z  * [new tag]                 viable/strict/1763889904    -> viable/strict/1763889904
2025-12-04T08:58:53.7324884Z  * [new tag]                 viable/strict/1763930999    -> viable/strict/1763930999
2025-12-04T08:58:53.7325841Z  * [new tag]                 viable/strict/1763944964    -> viable/strict/1763944964
2025-12-04T08:58:53.7326513Z  * [new tag]                 viable/strict/1763958474    -> viable/strict/1763958474
2025-12-04T08:58:53.7327591Z  * [new tag]                 viable/strict/1763967263    -> viable/strict/1763967263
2025-12-04T08:58:53.7328566Z  * [new tag]                 viable/strict/1763972803    -> viable/strict/1763972803
2025-12-04T08:58:53.7329424Z  * [new tag]                 viable/strict/1763976376    -> viable/strict/1763976376
2025-12-04T08:58:53.7330343Z  * [new tag]                 viable/strict/1763989404    -> viable/strict/1763989404
2025-12-04T08:58:53.7331254Z  * [new tag]                 viable/strict/1763990887    -> viable/strict/1763990887
2025-12-04T08:58:53.7332187Z  * [new tag]                 viable/strict/1764019919    -> viable/strict/1764019919
2025-12-04T08:58:53.7333191Z  * [new tag]                 viable/strict/1764023134    -> viable/strict/1764023134
2025-12-04T08:58:53.7333838Z  * [new tag]                 viable/strict/1764024593    -> viable/strict/1764024593
2025-12-04T08:58:53.7334856Z  * [new tag]                 viable/strict/1764026706    -> viable/strict/1764026706
2025-12-04T08:58:53.7336001Z  * [new tag]                 viable/strict/1764031139    -> viable/strict/1764031139
2025-12-04T08:58:53.7336902Z  * [new tag]                 viable/strict/1764033131    -> viable/strict/1764033131
2025-12-04T08:58:53.7337646Z  * [new tag]                 viable/strict/1764035725    -> viable/strict/1764035725
2025-12-04T08:58:53.7338406Z  * [new tag]                 viable/strict/1764624265    -> viable/strict/1764624265
2025-12-04T08:58:53.7339185Z  * [new tag]                 viable/strict/1764631514    -> viable/strict/1764631514
2025-12-04T08:58:53.7340123Z  * [new tag]                 viable/strict/1764632987    -> viable/strict/1764632987
2025-12-04T08:58:53.7340820Z  * [new tag]                 viable/strict/1764636063    -> viable/strict/1764636063
2025-12-04T08:58:53.7341561Z  * [new tag]                 viable/strict/1764643975    -> viable/strict/1764643975
2025-12-04T08:58:53.7342316Z  * [new tag]                 viable/strict/1764646859    -> viable/strict/1764646859
2025-12-04T08:58:53.7343076Z  * [new tag]                 viable/strict/1764653120    -> viable/strict/1764653120
2025-12-04T08:58:53.7343886Z  * [new tag]                 viable/strict/1764654632    -> viable/strict/1764654632
2025-12-04T08:58:53.7344637Z  * [new tag]                 viable/strict/1764656821    -> viable/strict/1764656821
2025-12-04T08:58:53.7345372Z  * [new tag]                 viable/strict/1764658557    -> viable/strict/1764658557
2025-12-04T08:58:53.7346134Z  * [new tag]                 viable/strict/1764660333    -> viable/strict/1764660333
2025-12-04T08:58:53.7347005Z  * [new tag]                 viable/strict/1764661812    -> viable/strict/1764661812
2025-12-04T08:58:53.7347701Z  * [new tag]                 viable/strict/1764664023    -> viable/strict/1764664023
2025-12-04T08:58:53.7348447Z  * [new tag]                 viable/strict/1764669150    -> viable/strict/1764669150
2025-12-04T08:58:53.7349181Z  * [new tag]                 viable/strict/1764680709    -> viable/strict/1764680709
2025-12-04T08:58:53.7349955Z  * [new tag]                 viable/strict/1764687619    -> viable/strict/1764687619
2025-12-04T08:58:53.7350702Z  * [new tag]                 viable/strict/1764696355    -> viable/strict/1764696355
2025-12-04T08:58:53.7351466Z  * [new tag]                 viable/strict/1764701767    -> viable/strict/1764701767
2025-12-04T08:58:53.7352225Z  * [new tag]                 viable/strict/1764710768    -> viable/strict/1764710768
2025-12-04T08:58:53.7352993Z  * [new tag]                 viable/strict/1764716202    -> viable/strict/1764716202
2025-12-04T08:58:53.7353765Z  * [new tag]                 viable/strict/1764793566    -> viable/strict/1764793566
2025-12-04T08:58:53.7354517Z  * [new tag]                 viable/strict/1764797093    -> viable/strict/1764797093
2025-12-04T08:58:53.7355301Z  * [new tag]                 viable/strict/1764800729    -> viable/strict/1764800729
2025-12-04T08:58:53.7356387Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-12-04T08:58:53.7357297Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-12-04T08:58:53.7358389Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-12-04T08:58:53.7978642Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object}
2025-12-04T08:58:53.8000365Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:58:53.8003755Z ##[endgroup]
2025-12-04T08:58:53.8004187Z ##[group]Determining the checkout info
2025-12-04T08:58:53.8004680Z ##[endgroup]
2025-12-04T08:58:53.8008348Z [command]/usr/bin/git sparse-checkout disable
2025-12-04T08:58:53.8036276Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-12-04T08:58:53.8058363Z ##[group]Checking out the ref
2025-12-04T08:58:53.8061576Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:58:54.8334637Z Updating files:  83% (16772/20121)
2025-12-04T08:58:54.8461679Z Updating files:  84% (16902/20121)
2025-12-04T08:58:54.8611931Z Updating files:  85% (17103/20121)
2025-12-04T08:58:54.8757126Z Updating files:  86% (17305/20121)
2025-12-04T08:58:54.8884777Z Updating files:  87% (17506/20121)
2025-12-04T08:58:54.8988177Z Updating files:  88% (17707/20121)
2025-12-04T08:58:54.9114517Z Updating files:  89% (17908/20121)
2025-12-04T08:58:54.9274622Z Updating files:  90% (18109/20121)
2025-12-04T08:58:54.9379529Z Updating files:  91% (18311/20121)
2025-12-04T08:58:54.9522090Z Updating files:  92% (18512/20121)
2025-12-04T08:58:54.9692445Z Updating files:  93% (18713/20121)
2025-12-04T08:58:54.9882898Z Updating files:  94% (18914/20121)
2025-12-04T08:58:55.0043043Z Updating files:  95% (19115/20121)
2025-12-04T08:58:55.0187427Z Updating files:  96% (19317/20121)
2025-12-04T08:58:55.0341648Z Updating files:  97% (19518/20121)
2025-12-04T08:58:55.0608986Z Updating files:  98% (19719/20121)
2025-12-04T08:58:55.0770941Z Updating files:  99% (19920/20121)
2025-12-04T08:58:55.0771240Z Updating files: 100% (20121/20121)
2025-12-04T08:58:55.0771546Z Updating files: 100% (20121/20121), done.
2025-12-04T08:58:55.1038788Z Note: switching to 'ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32'.
2025-12-04T08:58:55.1039109Z 
2025-12-04T08:58:55.1039526Z You are in 'detached HEAD' state. You can look around, make experimental
2025-12-04T08:58:55.1040098Z changes and commit them, and you can discard any commits you make in this
2025-12-04T08:58:55.1040664Z state without impacting any branches by switching back to a branch.
2025-12-04T08:58:55.1040992Z 
2025-12-04T08:58:55.1041212Z If you want to create a new branch to retain commits you create, you may
2025-12-04T08:58:55.1041724Z do so (now or later) by using -c with the switch command. Example:
2025-12-04T08:58:55.1042030Z 
2025-12-04T08:58:55.1042142Z   git switch -c <new-branch-name>
2025-12-04T08:58:55.1042353Z 
2025-12-04T08:58:55.1042467Z Or undo this operation with:
2025-12-04T08:58:55.1042648Z 
2025-12-04T08:58:55.1042749Z   git switch -
2025-12-04T08:58:55.1042878Z 
2025-12-04T08:58:55.1043131Z Turn off this advice by setting config variable advice.detachedHead to false
2025-12-04T08:58:55.1043500Z 
2025-12-04T08:58:55.1043777Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919)
2025-12-04T08:58:55.1106889Z ##[endgroup]
2025-12-04T08:58:55.1107325Z ##[group]Setting up auth for fetching submodules
2025-12-04T08:58:55.1113106Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T08:58:55.1161243Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-12-04T08:58:55.1186217Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-12-04T08:58:55.1209664Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-12-04T08:58:55.1230133Z ##[endgroup]
2025-12-04T08:58:55.1230523Z ##[group]Fetching submodules
2025-12-04T08:58:55.1234092Z [command]/usr/bin/git submodule sync --recursive
2025-12-04T08:58:55.1514374Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-12-04T08:58:55.1785362Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-12-04T08:58:55.1786479Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-12-04T08:58:55.1788913Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-12-04T08:58:55.1791220Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-12-04T08:58:55.1793605Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-12-04T08:58:55.1796675Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-12-04T08:58:55.1799124Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-12-04T08:58:55.1801784Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-12-04T08:58:55.1804655Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-12-04T08:58:55.1807922Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-12-04T08:58:55.1810892Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-12-04T08:58:55.1813952Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-12-04T08:58:55.1817662Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-12-04T08:58:55.1820996Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-12-04T08:58:55.1824463Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-12-04T08:58:55.1829035Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-12-04T08:58:55.1834275Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-12-04T08:58:55.1837951Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-12-04T08:58:55.1841857Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-12-04T08:58:55.1845493Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-12-04T08:58:55.1849699Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-12-04T08:58:55.1853590Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-12-04T08:58:55.1857696Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-12-04T08:58:55.1861835Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-12-04T08:58:55.1866153Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-12-04T08:58:55.1870552Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-12-04T08:58:55.1874941Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-12-04T08:58:55.1879352Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-12-04T08:58:55.1884216Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-12-04T08:58:55.1888894Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-12-04T08:58:55.1893785Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-12-04T08:58:55.1899626Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-12-04T08:58:55.1904897Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-12-04T08:58:55.1909894Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-12-04T08:58:55.1915130Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-12-04T08:58:55.1920392Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-12-04T08:58:55.1925834Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-12-04T08:58:55.1952991Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-12-04T08:58:55.4327030Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-12-04T08:58:55.4328474Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-12-04T08:58:55.4329880Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-12-04T08:58:55.4354975Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-12-04T08:58:58.3455344Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-12-04T08:58:58.3457054Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-12-04T08:58:58.3458496Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-12-04T08:58:58.3460481Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-12-04T08:58:58.3462448Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-12-04T08:58:58.3464065Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-12-04T08:58:58.3465923Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-12-04T08:58:58.3467540Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-12-04T08:58:58.3469230Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-12-04T08:58:58.3471184Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-12-04T08:58:58.3472765Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-12-04T08:58:58.3474490Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-12-04T08:58:58.3476202Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-12-04T08:58:58.3477766Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-12-04T08:58:58.3684798Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-12-04T08:58:59.0316619Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-12-04T08:58:59.0318356Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-12-04T08:58:59.0320047Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-12-04T08:58:59.0321733Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-12-04T08:58:59.1121127Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-12-04T08:58:59.1405876Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-12-04T08:59:12.8562435Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-12-04T08:59:12.8564362Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-12-04T08:59:12.8566281Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-12-04T08:59:12.8568005Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-12-04T08:59:12.8569536Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-12-04T08:59:12.8571095Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-12-04T08:59:12.8572793Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-12-04T08:59:12.9563690Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-12-04T08:59:20.9756571Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-12-04T08:59:20.9757391Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-12-04T08:59:20.9758124Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-12-04T08:59:20.9908018Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-12-04T08:59:21.0023411Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-12-04T08:59:21.0290822Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-12-04T08:59:21.0815497Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-12-04T08:59:21.1891048Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6'
2025-12-04T08:59:21.2373645Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-12-04T08:59:21.9478050Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-12-04T08:59:22.1301862Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-12-04T08:59:22.1320878Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:59:22.1344580Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-12-04T08:59:26.8866353Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-12-04T08:59:26.9087502Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-12-04T08:59:27.2487005Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T08:59:27.2953593Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246'
2025-12-04T08:59:27.3888209Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc'
2025-12-04T08:59:27.4348268Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396'
2025-12-04T08:59:28.0627057Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588'
2025-12-04T08:59:28.2146510Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4'
2025-12-04T08:59:28.2166481Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-12-04T08:59:28.2169079Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-12-04T08:59:28.2171332Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-12-04T08:59:28.2173713Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-12-04T08:59:28.2176389Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-12-04T08:59:28.2179060Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:59:28.2181620Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-12-04T08:59:28.2208335Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-12-04T08:59:29.5680911Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-12-04T08:59:29.5682790Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-12-04T08:59:29.5684581Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-12-04T08:59:29.6682048Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-12-04T08:59:32.7354285Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-12-04T08:59:32.8354774Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-12-04T08:59:35.7451355Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-12-04T08:59:36.0816218Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T08:59:36.1789625Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-12-04T08:59:36.7949373Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8'
2025-12-04T08:59:36.8396646Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:59:36.8505819Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-12-04T08:59:36.9529698Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-12-04T08:59:37.0181514Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-12-04T08:59:37.0198796Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T08:59:37.0200907Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-12-04T08:59:37.0224671Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-12-04T08:59:41.3376077Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-12-04T08:59:41.5688052Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-12-04T08:59:42.1113956Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-12-04T08:59:42.2432713Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-12-04T08:59:42.2714484Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f'
2025-12-04T08:59:42.3096935Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-12-04T08:59:42.3334832Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-12-04T08:59:42.3759869Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:59:42.3877254Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-12-04T08:59:42.3893016Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-12-04T08:59:42.3915267Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-12-04T08:59:57.8802311Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-12-04T08:59:57.8992627Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-12-04T08:59:57.9821136Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943'
2025-12-04T08:59:57.9838357Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T08:59:57.9840050Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T08:59:57.9842659Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T08:59:57.9867513Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-12-04T08:59:58.6764017Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-12-04T08:59:59.2484109Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-12-04T08:59:59.3367499Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-12-04T08:59:59.3384374Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T08:59:59.3391609Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T08:59:59.3392892Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T08:59:59.3394185Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T08:59:59.3395510Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T08:59:59.3397271Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T08:59:59.3400270Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T08:59:59.3403223Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T08:59:59.3406382Z 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'
2025-12-04T08:59:59.3432442Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-12-04T09:00:01.5812172Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-12-04T09:00:01.5813454Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'...
2025-12-04T09:00:01.5814905Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-12-04T09:00:01.5816097Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-12-04T09:00:01.5817284Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-12-04T09:00:01.5818497Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-12-04T09:00:01.5819691Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-12-04T09:00:01.6812630Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-12-04T09:00:06.8924278Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-12-04T09:00:06.9094565Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-12-04T09:00:06.9443909Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-12-04T09:00:06.9569232Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-12-04T09:00:06.9584321Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T09:00:06.9606818Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-12-04T09:00:07.2597583Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-12-04T09:00:07.2770668Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-12-04T09:00:07.3203252Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T09:00:07.4134027Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-12-04T09:00:07.4288561Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-12-04T09:00:07.4446333Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-12-04T09:00:07.4460941Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:00:07.4463392Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:00:07.4486742Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-12-04T09:00:09.7846978Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'...
2025-12-04T09:00:10.0290282Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-12-04T09:00:10.0741673Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T09:00:10.1041225Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-12-04T09:00:10.1467496Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T09:00:10.1963316Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe'
2025-12-04T09:00:10.2327257Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-12-04T09:00:10.3287445Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-12-04T09:00:10.7042103Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-12-04T09:00:10.7078369Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-12-04T09:00:10.7103253Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-12-04T09:00:11.5321597Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-12-04T09:00:11.5981185Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-12-04T09:00:11.5996464Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:00:11.5999020Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:00:11.6001328Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:00:11.6004119Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:00:11.6006893Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:00:11.6009595Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:00:11.6012282Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:00:11.6015007Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:00:11.6039292Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-12-04T09:00:12.0664669Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-12-04T09:00:12.0666966Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-12-04T09:00:12.0669183Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-12-04T09:00:12.0671256Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-12-04T09:00:12.1666001Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-12-04T09:00:12.7249568Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-12-04T09:00:19.5657294Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-12-04T09:00:20.3017359Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-12-04T09:00:20.3406865Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-12-04T09:00:20.3564625Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-12-04T09:00:20.4551873Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-12-04T09:00:20.4677591Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-12-04T09:00:20.4815047Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-12-04T09:00:20.4960528Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-12-04T09:00:20.4975242Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:00:20.4977441Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:00:20.5000059Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-12-04T09:00:22.8031335Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-12-04T09:00:23.0459491Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-12-04T09:00:23.0909832Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T09:00:23.5329951Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-12-04T09:00:23.5438308Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-12-04T09:00:23.8069237Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-12-04T09:00:23.8091528Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:00:23.8093991Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-12-04T09:00:23.8119391Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-12-04T09:00:24.3157359Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-12-04T09:00:24.9406114Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-12-04T09:00:25.0098490Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-12-04T09:00:25.0184703Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-12-04T09:00:25.0296328Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-12-04T09:00:25.0694940Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-12-04T09:00:25.0963311Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-12-04T09:00:25.1371749Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-12-04T09:00:25.1623502Z Submodule path 'third_party/tensorpipe': checked out '2b4cd91092d335a697416b2a3cb398283246849d'
2025-12-04T09:00:25.1639621Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:00:25.1641813Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:00:25.1644186Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:00:25.1646679Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:00:25.1670904Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'...
2025-12-04T09:00:26.5258914Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'...
2025-12-04T09:00:26.5259917Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'...
2025-12-04T09:00:26.5261125Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'...
2025-12-04T09:00:26.5807184Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-12-04T09:00:26.5953653Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2025-12-04T09:00:26.6657397Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b'
2025-12-04T09:00:26.6930463Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2025-12-04T09:00:26.6944993Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:00:26.6967850Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11/tools/clang'...
2025-12-04T09:00:26.8612828Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2025-12-04T09:00:26.8645684Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-12-04T09:00:26.8918771Z Entering 'android/libs/fbjni'
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2025-12-04T09:00:26.9148376Z Entering 'third_party/XNNPACK'
2025-12-04T09:00:26.9200791Z Entering 'third_party/aiter'
2025-12-04T09:00:26.9238772Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T09:00:26.9282502Z Entering 'third_party/benchmark'
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2025-12-04T09:00:26.9566639Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T09:00:26.9603333Z Entering 'third_party/fbgemm/external/composable_kernel'
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2025-12-04T09:00:27.2056713Z ##[endgroup]
2025-12-04T09:00:27.2057169Z ##[group]Persisting credentials for submodules
2025-12-04T09:00:27.2062372Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
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2025-12-04T09:00:27.4621201Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
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2025-12-04T09:00:27.5337410Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
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2025-12-04T09:00:27.5627356Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:00:27.5692704Z Entering 'third_party/pocketfft'
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2025-12-04T09:00:27.5793092Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:00:27.5840488Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T09:00:27.5890260Z Entering 'third_party/psimd'
2025-12-04T09:00:27.5938944Z Entering 'third_party/pthreadpool'
2025-12-04T09:00:27.5987724Z Entering 'third_party/pybind11'
2025-12-04T09:00:27.6036848Z Entering 'third_party/python-peachpy'
2025-12-04T09:00:27.6085931Z Entering 'third_party/sleef'
2025-12-04T09:00:27.6134906Z Entering 'third_party/tensorpipe'
2025-12-04T09:00:27.6184055Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:00:27.6232543Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:00:27.6280036Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:00:27.6327644Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:00:27.6374451Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:00:27.6438075Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-12-04T09:00:27.6705431Z Entering 'android/libs/fbjni'
2025-12-04T09:00:27.6751226Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-12-04T09:00:27.6765427Z Entering 'third_party/FP16'
2025-12-04T09:00:27.6811368Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-12-04T09:00:27.6825325Z Entering 'third_party/FXdiv'
2025-12-04T09:00:27.6870968Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-12-04T09:00:27.6884763Z Entering 'third_party/NNPACK'
2025-12-04T09:00:27.6929907Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-12-04T09:00:27.6944154Z Entering 'third_party/NVTX'
2025-12-04T09:00:27.6989145Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-12-04T09:00:27.7004363Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T09:00:27.7049714Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-12-04T09:00:27.7063959Z Entering 'third_party/XNNPACK'
2025-12-04T09:00:27.7108976Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-12-04T09:00:27.7138292Z Entering 'third_party/aiter'
2025-12-04T09:00:27.7185131Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-12-04T09:00:27.7200932Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T09:00:27.7245866Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-12-04T09:00:27.7268928Z Entering 'third_party/benchmark'
2025-12-04T09:00:27.7315134Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-12-04T09:00:27.7329275Z Entering 'third_party/composable_kernel'
2025-12-04T09:00:27.7375054Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-12-04T09:00:27.7397995Z Entering 'third_party/cpp-httplib'
2025-12-04T09:00:27.7443057Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-12-04T09:00:27.7457323Z Entering 'third_party/cpuinfo'
2025-12-04T09:00:27.7504350Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-12-04T09:00:27.7519020Z Entering 'third_party/cudnn_frontend'
2025-12-04T09:00:27.7564584Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-12-04T09:00:27.7579477Z Entering 'third_party/cutlass'
2025-12-04T09:00:27.7625444Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-12-04T09:00:27.7648759Z Entering 'third_party/fbgemm'
2025-12-04T09:00:27.7695134Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-12-04T09:00:27.7712935Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T09:00:27.7758435Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-12-04T09:00:27.7772515Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T09:00:27.7818419Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
2025-12-04T09:00:27.7840790Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T09:00:27.7887147Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-12-04T09:00:27.7901212Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T09:00:27.7946949Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-12-04T09:00:27.7968839Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T09:00:27.8014643Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-12-04T09:00:27.8028446Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T09:00:27.8074361Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
2025-12-04T09:00:27.8087553Z Entering 'third_party/fbgemm/external/json'
2025-12-04T09:00:27.8132811Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config	remote.origin.url
2025-12-04T09:00:27.8149247Z Entering 'third_party/flash-attention'
2025-12-04T09:00:27.8195975Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config	remote.origin.url
2025-12-04T09:00:27.8210612Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T09:00:27.8255459Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config	remote.origin.url
2025-12-04T09:00:27.8274560Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T09:00:27.8320188Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config	remote.origin.url
2025-12-04T09:00:27.8342568Z Entering 'third_party/flatbuffers'
2025-12-04T09:00:27.8387703Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2025-12-04T09:00:27.8404246Z Entering 'third_party/fmt'
2025-12-04T09:00:27.8449433Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
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2025-12-04T09:00:27.8569526Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
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2025-12-04T09:00:27.8688388Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
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2025-12-04T09:00:27.8826043Z Entering 'third_party/kineto'
2025-12-04T09:00:27.8871943Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2025-12-04T09:00:27.8885897Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:00:27.8931770Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config	remote.origin.url
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2025-12-04T09:00:27.8991274Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config	remote.origin.url
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2025-12-04T09:00:27.9052423Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config	remote.origin.url
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2025-12-04T09:00:27.9294480Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config	remote.origin.url
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2025-12-04T09:00:27.9354069Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config	remote.origin.url
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2025-12-04T09:00:27.9476075Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config	remote.origin.url
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2025-12-04T09:00:28.0020500Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config	remote.origin.url
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2025-12-04T09:00:28.0095727Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
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2025-12-04T09:00:28.0219267Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config	remote.origin.url
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2025-12-04T09:00:28.0277656Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config	remote.origin.url
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2025-12-04T09:00:28.0336770Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config	remote.origin.url
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2025-12-04T09:00:28.0454847Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config	remote.origin.url
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2025-12-04T09:00:28.0572179Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config	remote.origin.url
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2025-12-04T09:00:28.0692438Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config	remote.origin.url
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2025-12-04T09:00:28.0752638Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config	remote.origin.url
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2025-12-04T09:00:28.0829994Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
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2025-12-04T09:00:28.0950988Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
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2025-12-04T09:00:28.1010581Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
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2025-12-04T09:00:28.1069684Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
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2025-12-04T09:00:28.1187594Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
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2025-12-04T09:00:28.1485522Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
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2025-12-04T09:00:28.1544548Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
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2025-12-04T09:00:28.1603624Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
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2025-12-04T09:00:28.2208609Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
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2025-12-04T09:00:28.4645204Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T09:00:28.4685002Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:00:28.4722033Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:00:28.4758665Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:00:28.4794490Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:00:28.4833297Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:00:28.4869283Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:00:28.4905177Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:00:28.4939902Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:00:28.4977897Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:00:28.5015455Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:00:28.5070132Z Entering 'third_party/pocketfft'
2025-12-04T09:00:28.5108070Z Entering 'third_party/protobuf'
2025-12-04T09:00:28.5148661Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:00:28.5184733Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T09:00:28.5223515Z Entering 'third_party/psimd'
2025-12-04T09:00:28.5262388Z Entering 'third_party/pthreadpool'
2025-12-04T09:00:28.5301281Z Entering 'third_party/pybind11'
2025-12-04T09:00:28.5339545Z Entering 'third_party/python-peachpy'
2025-12-04T09:00:28.5377572Z Entering 'third_party/sleef'
2025-12-04T09:00:28.5416950Z Entering 'third_party/tensorpipe'
2025-12-04T09:00:28.5455131Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:00:28.5491220Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:00:28.5527154Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:00:28.5562963Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:00:28.5599478Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:00:28.5650290Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-12-04T09:00:28.5919740Z Entering 'android/libs/fbjni'
2025-12-04T09:00:28.5955883Z Entering 'third_party/FP16'
2025-12-04T09:00:28.5993064Z Entering 'third_party/FXdiv'
2025-12-04T09:00:28.6030029Z Entering 'third_party/NNPACK'
2025-12-04T09:00:28.6066936Z Entering 'third_party/NVTX'
2025-12-04T09:00:28.6104943Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T09:00:28.6141724Z Entering 'third_party/XNNPACK'
2025-12-04T09:00:28.6192370Z Entering 'third_party/aiter'
2025-12-04T09:00:28.6231096Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T09:00:28.6274283Z Entering 'third_party/benchmark'
2025-12-04T09:00:28.6311981Z Entering 'third_party/composable_kernel'
2025-12-04T09:00:28.6357094Z Entering 'third_party/cpp-httplib'
2025-12-04T09:00:28.6394464Z Entering 'third_party/cpuinfo'
2025-12-04T09:00:28.6431751Z Entering 'third_party/cudnn_frontend'
2025-12-04T09:00:28.6469328Z Entering 'third_party/cutlass'
2025-12-04T09:00:28.6516111Z Entering 'third_party/fbgemm'
2025-12-04T09:00:28.6554975Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T09:00:28.6591241Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T09:00:28.6635824Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T09:00:28.6672413Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T09:00:28.6716902Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T09:00:28.6752951Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T09:00:28.6788454Z Entering 'third_party/fbgemm/external/json'
2025-12-04T09:00:28.6827992Z Entering 'third_party/flash-attention'
2025-12-04T09:00:28.6865432Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T09:00:28.6906711Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T09:00:28.6950785Z Entering 'third_party/flatbuffers'
2025-12-04T09:00:28.6990272Z Entering 'third_party/fmt'
2025-12-04T09:00:28.7027588Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T09:00:28.7064675Z Entering 'third_party/gloo'
2025-12-04T09:00:28.7101813Z Entering 'third_party/googletest'
2025-12-04T09:00:28.7138837Z Entering 'third_party/ideep'
2025-12-04T09:00:28.7175552Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T09:00:28.7219399Z Entering 'third_party/ittapi'
2025-12-04T09:00:28.7256461Z Entering 'third_party/kineto'
2025-12-04T09:00:28.7294462Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:00:28.7330708Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T09:00:28.7368144Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T09:00:28.7404867Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T09:00:28.7441504Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T09:00:28.7477808Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T09:00:28.7516226Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T09:00:28.7553547Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T09:00:28.7590171Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T09:00:28.7627588Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T09:00:28.7665411Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T09:00:28.7701435Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:00:28.7739831Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:00:28.7780422Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T09:00:28.7816942Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T09:00:28.7854567Z Entering 'third_party/kleidiai'
2025-12-04T09:00:28.7892913Z Entering 'third_party/mimalloc'
2025-12-04T09:00:28.7930602Z Entering 'third_party/nlohmann'
2025-12-04T09:00:28.7968947Z Entering 'third_party/onnx'
2025-12-04T09:00:28.8023077Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T09:00:28.8061751Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T09:00:28.8101120Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:00:28.8137372Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:00:28.8173381Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:00:28.8209052Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:00:28.8245566Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:00:28.8281340Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:00:28.8320273Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:00:28.8355888Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:00:28.8394346Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:00:28.8432152Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:00:28.8484821Z Entering 'third_party/pocketfft'
2025-12-04T09:00:28.8523828Z Entering 'third_party/protobuf'
2025-12-04T09:00:28.8564122Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:00:28.8600377Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T09:00:28.8637933Z Entering 'third_party/psimd'
2025-12-04T09:00:28.8674948Z Entering 'third_party/pthreadpool'
2025-12-04T09:00:28.8711951Z Entering 'third_party/pybind11'
2025-12-04T09:00:28.8750626Z Entering 'third_party/python-peachpy'
2025-12-04T09:00:28.8788064Z Entering 'third_party/sleef'
2025-12-04T09:00:28.8825794Z Entering 'third_party/tensorpipe'
2025-12-04T09:00:28.8862334Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:00:28.8898383Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:00:28.8934193Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:00:28.8970052Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:00:28.9005518Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:00:28.9053746Z ##[endgroup]
2025-12-04T09:00:28.9085727Z [command]/usr/bin/git log -1 --format=%H
2025-12-04T09:00:28.9106078Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:00:28.9200381Z ##[group]Run cd "${GITHUB_WORKSPACE}"
2025-12-04T09:00:28.9200750Z cd "${GITHUB_WORKSPACE}"
2025-12-04T09:00:28.9201056Z # Clean stale submodule dirs
2025-12-04T09:00:28.9201382Z if [ -z "${NO_SUDO}" ]; then
2025-12-04T09:00:28.9201785Z   sudo git submodule foreach --recursive git clean -ffdx
2025-12-04T09:00:28.9202167Z else
2025-12-04T09:00:28.9202471Z   git submodule foreach --recursive git clean -ffdx
2025-12-04T09:00:28.9202853Z fi
2025-12-04T09:00:28.9211321Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:28.9211714Z env:
2025-12-04T09:00:28.9211937Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:28.9212196Z   NO_SUDO: true
2025-12-04T09:00:28.9212422Z ##[endgroup]
2025-12-04T09:00:28.9495220Z Entering 'android/libs/fbjni'
2025-12-04T09:00:28.9524167Z Entering 'third_party/FP16'
2025-12-04T09:00:28.9551254Z Entering 'third_party/FXdiv'
2025-12-04T09:00:28.9579214Z Entering 'third_party/NNPACK'
2025-12-04T09:00:28.9609465Z Entering 'third_party/NVTX'
2025-12-04T09:00:28.9642652Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T09:00:28.9671442Z Entering 'third_party/XNNPACK'
2025-12-04T09:00:28.9783555Z Entering 'third_party/aiter'
2025-12-04T09:00:28.9820699Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T09:00:28.9913906Z Entering 'third_party/benchmark'
2025-12-04T09:00:28.9942245Z Entering 'third_party/composable_kernel'
2025-12-04T09:00:29.0045135Z Entering 'third_party/cpp-httplib'
2025-12-04T09:00:29.0073745Z Entering 'third_party/cpuinfo'
2025-12-04T09:00:29.0105713Z Entering 'third_party/cudnn_frontend'
2025-12-04T09:00:29.0136566Z Entering 'third_party/cutlass'
2025-12-04T09:00:29.0226158Z Entering 'third_party/fbgemm'
2025-12-04T09:00:29.0278060Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T09:00:29.0305556Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T09:00:29.0404592Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T09:00:29.0434280Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T09:00:29.0522226Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T09:00:29.0550717Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T09:00:29.0576487Z Entering 'third_party/fbgemm/external/json'
2025-12-04T09:00:29.0615464Z Entering 'third_party/flash-attention'
2025-12-04T09:00:29.0651081Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T09:00:29.0734807Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T09:00:29.0815365Z Entering 'third_party/flatbuffers'
2025-12-04T09:00:29.0875591Z Entering 'third_party/fmt'
2025-12-04T09:00:29.0905479Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T09:00:29.0933854Z Entering 'third_party/gloo'
2025-12-04T09:00:29.0963670Z Entering 'third_party/googletest'
2025-12-04T09:00:29.0993435Z Entering 'third_party/ideep'
2025-12-04T09:00:29.1019469Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T09:00:29.1093656Z Entering 'third_party/ittapi'
2025-12-04T09:00:29.1124155Z Entering 'third_party/kineto'
2025-12-04T09:00:29.1154977Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:00:29.1187074Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T09:00:29.1225908Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T09:00:29.1253553Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T09:00:29.1281933Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T09:00:29.1314292Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T09:00:29.1334395Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T09:00:29.1361558Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T09:00:29.1391246Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T09:00:29.1426079Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T09:00:29.1452844Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T09:00:29.1480416Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:00:29.1521613Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:00:29.1554009Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T09:00:29.1581648Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T09:00:29.1611735Z Entering 'third_party/kleidiai'
2025-12-04T09:00:29.1645324Z Entering 'third_party/mimalloc'
2025-12-04T09:00:29.1674957Z Entering 'third_party/nlohmann'
2025-12-04T09:00:29.1714163Z Entering 'third_party/onnx'
2025-12-04T09:00:29.1994246Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T09:00:29.2025521Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T09:00:29.2073898Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:00:29.2101425Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:00:29.2129772Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:00:29.2155600Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:00:29.2191805Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:00:29.2219260Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:00:29.2245692Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:00:29.2272424Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:00:29.2312355Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:00:29.2341942Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:00:29.2554113Z Entering 'third_party/pocketfft'
2025-12-04T09:00:29.2580505Z Entering 'third_party/protobuf'
2025-12-04T09:00:29.2646779Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:00:29.2673119Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T09:00:29.2705999Z Entering 'third_party/psimd'
2025-12-04T09:00:29.2732919Z Entering 'third_party/pthreadpool'
2025-12-04T09:00:29.2759857Z Entering 'third_party/pybind11'
2025-12-04T09:00:29.2790330Z Entering 'third_party/python-peachpy'
2025-12-04T09:00:29.2818877Z Entering 'third_party/sleef'
2025-12-04T09:00:29.2848586Z Entering 'third_party/tensorpipe'
2025-12-04T09:00:29.2878194Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:00:29.2906816Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:00:29.2932419Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:00:29.2962375Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:00:29.2988691Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:00:29.3140003Z Prepare all required actions
2025-12-04T09:00:29.3140626Z Getting action download info
2025-12-04T09:00:29.4767014Z ##[group]Run ./.github/actions/setup-linux
2025-12-04T09:00:29.4767420Z env:
2025-12-04T09:00:29.4767641Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:29.4767910Z ##[endgroup]
2025-12-04T09:00:29.4805431Z ##[group]Run set -euo pipefail
2025-12-04T09:00:29.4805775Z set -euo pipefail
2025-12-04T09:00:29.4806198Z function get_ec2_metadata() {
2025-12-04T09:00:29.4806586Z   # Pulled from instance metadata endpoint for EC2
2025-12-04T09:00:29.4807316Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-12-04T09:00:29.4807898Z   category=$1
2025-12-04T09:00:29.4808270Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-12-04T09:00:29.4808709Z   runner_name_str=i-0432f28cd9c38fe5d
2025-12-04T09:00:29.4809110Z   if [[ -f /.inarc ]]; then
2025-12-04T09:00:29.4809453Z     echo "ARC Runner, no info on ec2 metadata"
2025-12-04T09:00:29.4809849Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-12-04T09:00:29.4810326Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-12-04T09:00:29.4810774Z   else
2025-12-04T09:00:29.4811650Z     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}"
2025-12-04T09:00:29.4812603Z   fi
2025-12-04T09:00:29.4812818Z }
2025-12-04T09:00:29.4813081Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-12-04T09:00:29.4813503Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-12-04T09:00:29.4813994Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-12-04T09:00:29.4814416Z echo "system info $(uname -a)"
2025-12-04T09:00:29.4820183Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:29.4820564Z env:
2025-12-04T09:00:29.4820781Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:29.4821032Z ##[endgroup]
2025-12-04T09:00:29.4948630Z ami-id: ami-08982f1c5bf93d976
2025-12-04T09:00:29.5043095Z instance-id: i-0432f28cd9c38fe5d
2025-12-04T09:00:29.5135262Z instance-type: c5.4xlarge
2025-12-04T09:00:29.5145913Z system info Linux ip-10-0-41-136.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep  9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-12-04T09:00:29.5163824Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-12-04T09:00:29.5164301Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-12-04T09:00:29.5169957Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:29.5170346Z env:
2025-12-04T09:00:29.5170553Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:29.5170819Z ##[endgroup]
2025-12-04T09:00:29.5209609Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:00:29.5210582Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:00:29.5216373Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:29.5216761Z env:
2025-12-04T09:00:29.5216977Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:29.5217243Z ##[endgroup]
2025-12-04T09:00:29.5261493Z ##[group]Run if systemctl is-active --quiet docker; then
2025-12-04T09:00:29.5261939Z if systemctl is-active --quiet docker; then
2025-12-04T09:00:29.5262333Z     echo "Docker daemon is running...";
2025-12-04T09:00:29.5262668Z else
2025-12-04T09:00:29.5263017Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-12-04T09:00:29.5263454Z fi
2025-12-04T09:00:29.5268702Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:29.5269094Z env:
2025-12-04T09:00:29.5269303Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:29.5269571Z ##[endgroup]
2025-12-04T09:00:29.5339945Z Docker daemon is running...
2025-12-04T09:00:29.5395697Z ##[group]Run nick-fields/retry@v3.0.0
2025-12-04T09:00:29.5395997Z with:
2025-12-04T09:00:29.5396201Z   shell: bash
2025-12-04T09:00:29.5396428Z   timeout_minutes: 5
2025-12-04T09:00:29.5396883Z   max_attempts: 3
2025-12-04T09:00:29.5397247Z   retry_wait_seconds: 30
2025-12-04T09:00:29.5399673Z   command: AWS_ACCOUNT_ID=$(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

2025-12-04T09:00:29.5402123Z   polling_interval_seconds: 1
2025-12-04T09:00:29.5402408Z   warning_on_retry: true
2025-12-04T09:00:29.5402676Z   continue_on_error: false
2025-12-04T09:00:29.5402918Z env:
2025-12-04T09:00:29.5403126Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:29.5403391Z   AWS_RETRY_MODE: standard
2025-12-04T09:00:29.5403646Z   AWS_MAX_ATTEMPTS: 5
2025-12-04T09:00:29.5403902Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:00:29.5404175Z ##[endgroup]
2025-12-04T09:00:30.6313735Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:00:30.6314372Z Configure a credential helper to remove this warning. See
2025-12-04T09:00:30.6314946Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:00:30.6315354Z 
2025-12-04T09:00:30.6315452Z Login Succeeded
2025-12-04T09:00:31.1239926Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:00:31.1240653Z Configure a credential helper to remove this warning. See
2025-12-04T09:00:31.1241286Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:00:31.1241684Z 
2025-12-04T09:00:31.1241788Z Login Succeeded
2025-12-04T09:00:31.6217589Z Command completed after 1 attempt(s).
2025-12-04T09:00:31.6267492Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:00:31.6268031Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:00:31.6268514Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:00:31.6275835Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:31.6276216Z env:
2025-12-04T09:00:31.6276442Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:31.6276711Z ##[endgroup]
2025-12-04T09:00:31.6360824Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T09:00:31.6361420Z # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T09:00:31.6361873Z # shellcheck disable=SC2046
2025-12-04T09:00:31.6362210Z docker stop $(docker ps -q) || true
2025-12-04T09:00:31.6362569Z # Prune all of the docker images
2025-12-04T09:00:31.6362906Z docker system prune -af
2025-12-04T09:00:31.6368779Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:31.6369175Z env:
2025-12-04T09:00:31.6369401Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:31.6369671Z ##[endgroup]
2025-12-04T09:00:31.6605687Z "docker stop" requires at least 1 argument.
2025-12-04T09:00:31.6606069Z See 'docker stop --help'.
2025-12-04T09:00:31.6606264Z 
2025-12-04T09:00:31.6606432Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-12-04T09:00:31.6606725Z 
2025-12-04T09:00:31.6606838Z Stop one or more running containers
2025-12-04T09:00:31.6891475Z Total reclaimed space: 0B
2025-12-04T09:00:31.7086029Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-12-04T09:00:31.7086513Z with:
2025-12-04T09:00:31.7087367Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:31.7088249Z   use-custom-docker-registry: true
2025-12-04T09:00:31.7088564Z   docker-build-dir: .ci/docker
2025-12-04T09:00:31.7089001Z   docker-build-script: ./build.sh
2025-12-04T09:00:31.7089288Z   working-directory: .
2025-12-04T09:00:31.7089638Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:00:31.7090042Z   force-push: false
2025-12-04T09:00:31.7090271Z env:
2025-12-04T09:00:31.7090467Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:31.7090723Z ##[endgroup]
2025-12-04T09:00:31.7108742Z ##[group]Run set -ex
2025-12-04T09:00:31.7109025Z set -ex
2025-12-04T09:00:31.7109247Z 
2025-12-04T09:00:31.7109688Z # If the docker build directory or the build script doesn't exist, the action will
2025-12-04T09:00:31.7110359Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-12-04T09:00:31.7110936Z # job could then download the pre-built image as usual
2025-12-04T09:00:31.7111639Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-12-04T09:00:31.7112299Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-12-04T09:00:31.7112629Z else
2025-12-04T09:00:31.7112888Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-12-04T09:00:31.7113336Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:00:31.7113737Z 
2025-12-04T09:00:31.7114308Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-12-04T09:00:31.7114968Z   exit 0
2025-12-04T09:00:31.7115177Z fi
2025-12-04T09:00:31.7115383Z 
2025-12-04T09:00:31.7115715Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-12-04T09:00:31.7116332Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-12-04T09:00:31.7116864Z   # use it as it is, but first let's extract the tag
2025-12-04T09:00:31.7117355Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-12-04T09:00:31.7117872Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:00:31.7118366Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:00:31.7118767Z else
2025-12-04T09:00:31.7119025Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-12-04T09:00:31.7119410Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-12-04T09:00:31.7119802Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-12-04T09:00:31.7120144Z   fi
2025-12-04T09:00:31.7120603Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-12-04T09:00:31.7121228Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:00:31.7121876Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:00:31.7122602Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:00:31.7123039Z fi
2025-12-04T09:00:31.7128624Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:31.7129004Z env:
2025-12-04T09:00:31.7129213Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:31.7129467Z   REPO_NAME: pytorch
2025-12-04T09:00:31.7130403Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:31.7131272Z   DOCKER_BUILD_DIR: .ci/docker
2025-12-04T09:00:31.7131563Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-12-04T09:00:31.7131934Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:00:31.7132344Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-12-04T09:00:31.7132639Z   CUSTOM_TAG_PREFIX: 
2025-12-04T09:00:31.7132869Z ##[endgroup]
2025-12-04T09:00:31.7153948Z + [[ -d .ci/docker ]]
2025-12-04T09:00:31.7154341Z + [[ -f .ci/docker/./build.sh ]]
2025-12-04T09:00:31.7154612Z + [[ true == \t\r\u\e ]]
2025-12-04T09:00:31.7154865Z + echo skip=false
2025-12-04T09:00:31.7155922Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-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* ]]
2025-12-04T09:00:31.7160571Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:31.7161379Z ++ awk -F '[:,]' '{print $2}'
2025-12-04T09:00:31.7180544Z + DOCKER_TAG=pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:31.7181378Z + echo docker-tag=pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:31.7182632Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:31.7204926Z ##[group]Run set +e
2025-12-04T09:00:31.7205221Z set +e
2025-12-04T09:00:31.7205441Z set -x
2025-12-04T09:00:31.7205663Z 
2025-12-04T09:00:31.7205872Z login() {
2025-12-04T09:00:31.7206345Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-12-04T09:00:31.7206879Z }
2025-12-04T09:00:31.7207175Z 
2025-12-04T09:00:31.7207379Z retry () {
2025-12-04T09:00:31.7207652Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-12-04T09:00:31.7207970Z }
2025-12-04T09:00:31.7208162Z 
2025-12-04T09:00:31.7208392Z retry login "${DOCKER_REGISTRY}"
2025-12-04T09:00:31.7208698Z 
2025-12-04T09:00:31.7208917Z START_TIME=$(date +%s)
2025-12-04T09:00:31.7209203Z # Wait up to 120 minutes
2025-12-04T09:00:31.7209581Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-12-04T09:00:31.7210085Z   # Check if image already exists, if it does then skip building it
2025-12-04T09:00:31.7210577Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-12-04T09:00:31.7210950Z     exit 0
2025-12-04T09:00:31.7211189Z   fi
2025-12-04T09:00:31.7211393Z 
2025-12-04T09:00:31.7211779Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-12-04T09:00:31.7212467Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-12-04T09:00:31.7213147Z   # latter, it will wait for the Docker images to become available before continuing
2025-12-04T09:00:31.7213670Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-12-04T09:00:31.7214076Z     # It's a Docker build job, let's build the image
2025-12-04T09:00:31.7214429Z     break
2025-12-04T09:00:31.7214662Z   else
2025-12-04T09:00:31.7214997Z     # It's a regular build job, wait for the image to become available
2025-12-04T09:00:31.7215417Z     sleep 300
2025-12-04T09:00:31.7215667Z   fi
2025-12-04T09:00:31.7215868Z done
2025-12-04T09:00:31.7216078Z 
2025-12-04T09:00:31.7216432Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-12-04T09:00:31.7217004Z # be empty.  The default action would be to continue rebuild the image
2025-12-04T09:00:31.7217674Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-12-04T09:00:31.7218151Z   # if we're on the base branch then use the parent commit
2025-12-04T09:00:31.7218565Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-12-04T09:00:31.7218876Z else
2025-12-04T09:00:31.7219207Z   # otherwise we're on a PR, so use the most recent base commit
2025-12-04T09:00:31.7219698Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-12-04T09:00:31.7220136Z fi
2025-12-04T09:00:31.7220359Z 
2025-12-04T09:00:31.7220579Z if [[ -z "${MERGE_BASE}" ]]; then
2025-12-04T09:00:31.7220947Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-12-04T09:00:31.7221288Z 
2025-12-04T09:00:31.7221765Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-12-04T09:00:31.7222326Z   exit 0
2025-12-04T09:00:31.7222556Z fi
2025-12-04T09:00:31.7222766Z 
2025-12-04T09:00:31.7223060Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-12-04T09:00:31.7223774Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-12-04T09:00:31.7224392Z   exit 1
2025-12-04T09:00:31.7224620Z fi
2025-12-04T09:00:31.7224819Z 
2025-12-04T09:00:31.7225195Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-12-04T09:00:31.7225880Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-12-04T09:00:31.7226474Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-12-04T09:00:31.7227172Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-12-04T09:00:31.7227969Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-12-04T09:00:31.7228438Z fi
2025-12-04T09:00:31.7228633Z 
2025-12-04T09:00:31.7228891Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-12-04T09:00:31.7234105Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:31.7234474Z env:
2025-12-04T09:00:31.7234691Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:31.7234962Z   DOCKER_BUILD_DIR: .ci/docker
2025-12-04T09:00:31.7235315Z   BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:00:31.7236210Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:31.7237293Z   DOCKER_TAG: pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:31.7237945Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:00:31.7238336Z   DOCKER_PUSH: 
2025-12-04T09:00:31.7238554Z ##[endgroup]
2025-12-04T09:00:31.7259094Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:00:31.7259550Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:00:31.7261506Z + aws ecr get-login-password --region us-east-1
2025-12-04T09:00:31.7262811Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:00:32.2172643Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:00:32.2173293Z Configure a credential helper to remove this warning. See
2025-12-04T09:00:32.2173885Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:00:32.2174292Z 
2025-12-04T09:00:32.2174421Z Login Succeeded
2025-12-04T09:00:32.2190607Z ++ date +%s
2025-12-04T09:00:32.2198353Z + START_TIME=1764838832
2025-12-04T09:00:32.2201282Z ++ date +%s
2025-12-04T09:00:32.2209409Z + [[ 1764831632 -lt 1764838832 ]]
2025-12-04T09:00:32.2210572Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
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2025-12-04T09:00:32.4421085Z 		}
2025-12-04T09:00:32.4421274Z 	]
2025-12-04T09:00:32.4421457Z }
2025-12-04T09:00:32.4421647Z + exit 0
2025-12-04T09:00:32.4447361Z ##[group]Run set -eux
2025-12-04T09:00:32.4447655Z set -eux
2025-12-04T09:00:32.4448068Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-12-04T09:00:32.4449371Z 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
2025-12-04T09:00:32.4456387Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:32.4456774Z env:
2025-12-04T09:00:32.4456978Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:32.4457237Z ##[endgroup]
2025-12-04T09:00:32.4482331Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-12-04T09:00:32.4482922Z + jq --raw-output .SecretString
2025-12-04T09:00:32.4483960Z + jq -r .docker_hub_readonly_token
2025-12-04T09:00:32.4484839Z + docker login --username pytorchbot --password-stdin
2025-12-04T09:00:32.9997060Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:00:32.9997708Z Configure a credential helper to remove this warning. See
2025-12-04T09:00:32.9998305Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:00:32.9998703Z 
2025-12-04T09:00:32.9998875Z Login Succeeded
2025-12-04T09:00:33.0078737Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-12-04T09:00:33.0079120Z tag=${ECR_DOCKER_IMAGE##*:}
2025-12-04T09:00:33.0079528Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-12-04T09:00:33.0085376Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:33.0085761Z env:
2025-12-04T09:00:33.0085980Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:33.0086801Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:33.0087754Z ##[endgroup]
2025-12-04T09:00:33.0113105Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:33.0156306Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-12-04T09:00:33.0156741Z with:
2025-12-04T09:00:33.0157499Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:33.0158446Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:00:33.0158837Z env:
2025-12-04T09:00:33.0159035Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:33.0159294Z ##[endgroup]
2025-12-04T09:00:33.0173059Z ##[group]Run set -x
2025-12-04T09:00:33.0173324Z set -x
2025-12-04T09:00:33.0173534Z set +e
2025-12-04T09:00:33.0173750Z 
2025-12-04T09:00:33.0173956Z login() {
2025-12-04T09:00:33.0174440Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-12-04T09:00:33.0174977Z }
2025-12-04T09:00:33.0175184Z 
2025-12-04T09:00:33.0175421Z retry () {
2025-12-04T09:00:33.0175681Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-12-04T09:00:33.0175999Z }
2025-12-04T09:00:33.0176197Z 
2025-12-04T09:00:33.0176423Z retry login "${DOCKER_REGISTRY}"
2025-12-04T09:00:33.0176716Z 
2025-12-04T09:00:33.0177215Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-12-04T09:00:33.0177897Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-12-04T09:00:33.0178262Z 
2025-12-04T09:00:33.0178464Z set -e
2025-12-04T09:00:33.0178805Z # ignore output since only exit code is used for conditional
2025-12-04T09:00:33.0179310Z # only pull docker image if it's not available locally
2025-12-04T09:00:33.0179864Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-12-04T09:00:33.0180385Z   retry docker pull "${DOCKER_IMAGE}"
2025-12-04T09:00:33.0180711Z fi
2025-12-04T09:00:33.0185782Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:33.0186165Z env:
2025-12-04T09:00:33.0186377Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:33.0187169Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:33.0188104Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:00:33.0188497Z ##[endgroup]
2025-12-04T09:00:33.0208900Z + set +e
2025-12-04T09:00:33.0209420Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:00:33.0210126Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:00:33.0212056Z + aws ecr get-login-password --region us-east-1
2025-12-04T09:00:33.0213424Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:00:33.5144199Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:00:33.5144848Z Configure a credential helper to remove this warning. See
2025-12-04T09:00:33.5145698Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:00:33.5146293Z 
2025-12-04T09:00:33.5146398Z Login Succeeded
2025-12-04T09:00:33.5162730Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:33.5163909Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-12-04T09:00:33.7290911Z + IMAGE_SIZE=4346.579107284546
2025-12-04T09:00:33.7291554Z + echo 'Compressed size of image in MB: 4346.579107284546'
2025-12-04T09:00:33.7291938Z + set -e
2025-12-04T09:00:33.7292789Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:33.7293992Z Compressed size of image in MB: 4346.579107284546
2025-12-04T09:00:33.7401170Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:33.7402663Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:33.9721001Z pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image
2025-12-04T09:00:33.9722487Z 63e5bc7682b8: Pulling fs layer
2025-12-04T09:00:33.9722972Z d7732e4f533e: Pulling fs layer
2025-12-04T09:00:33.9723529Z 6d76d46163f9: Pulling fs layer
2025-12-04T09:00:33.9724084Z 19e82287cc31: Pulling fs layer
2025-12-04T09:00:33.9724775Z 852c31a1f5de: Pulling fs layer
2025-12-04T09:00:33.9725310Z 7a5ef3f39ece: Pulling fs layer
2025-12-04T09:00:33.9725814Z 5b33d83a6793: Pulling fs layer
2025-12-04T09:00:33.9726340Z 5a3431215643: Pulling fs layer
2025-12-04T09:00:33.9726872Z 234cd9d18c98: Pulling fs layer
2025-12-04T09:00:33.9727499Z 2cfbe34dd01a: Pulling fs layer
2025-12-04T09:00:33.9727990Z 450bb83ff360: Pulling fs layer
2025-12-04T09:00:33.9728461Z 19e82287cc31: Waiting
2025-12-04T09:00:33.9728903Z af59f86639cd: Pulling fs layer
2025-12-04T09:00:33.9729346Z 852c31a1f5de: Waiting
2025-12-04T09:00:33.9729782Z 5a3431215643: Waiting
2025-12-04T09:00:33.9730199Z 0fa897a49fab: Pulling fs layer
2025-12-04T09:00:33.9730704Z 2cfbe34dd01a: Waiting
2025-12-04T09:00:33.9731178Z fcdc2c1d7421: Pulling fs layer
2025-12-04T09:00:33.9731640Z 450bb83ff360: Waiting
2025-12-04T09:00:33.9732070Z 4f4fb700ef54: Pulling fs layer
2025-12-04T09:00:33.9732557Z af59f86639cd: Waiting
2025-12-04T09:00:33.9733004Z 7a5ef3f39ece: Waiting
2025-12-04T09:00:33.9733473Z fe6dfc1a05e1: Pulling fs layer
2025-12-04T09:00:33.9733950Z 0fa897a49fab: Waiting
2025-12-04T09:00:33.9734344Z 95bfeb706c37: Pulling fs layer
2025-12-04T09:00:33.9734701Z fcdc2c1d7421: Waiting
2025-12-04T09:00:33.9734970Z a8da7b63746a: Pulling fs layer
2025-12-04T09:00:33.9735247Z fe6dfc1a05e1: Waiting
2025-12-04T09:00:33.9735485Z 2331b2ca31ab: Pulling fs layer
2025-12-04T09:00:33.9735762Z 95bfeb706c37: Waiting
2025-12-04T09:00:33.9735998Z 5b33d83a6793: Waiting
2025-12-04T09:00:33.9736229Z 6941965a4423: Pulling fs layer
2025-12-04T09:00:33.9736498Z a8da7b63746a: Waiting
2025-12-04T09:00:33.9736736Z 2331b2ca31ab: Waiting
2025-12-04T09:00:33.9736958Z 4f4fb700ef54: Waiting
2025-12-04T09:00:33.9737202Z 6b9b6e9eeb32: Pulling fs layer
2025-12-04T09:00:33.9737471Z 6941965a4423: Waiting
2025-12-04T09:00:33.9737704Z 8af7417fa12e: Pulling fs layer
2025-12-04T09:00:33.9737989Z a03109654b6e: Pulling fs layer
2025-12-04T09:00:33.9738270Z df36980ea84b: Pulling fs layer
2025-12-04T09:00:33.9738530Z 8af7417fa12e: Waiting
2025-12-04T09:00:33.9738978Z a03109654b6e: Waiting
2025-12-04T09:00:33.9739231Z c44ce13a2845: Pulling fs layer
2025-12-04T09:00:33.9739508Z df36980ea84b: Waiting
2025-12-04T09:00:33.9739733Z 6b9b6e9eeb32: Waiting
2025-12-04T09:00:33.9740025Z 2c4c6714dbd1: Pulling fs layer
2025-12-04T09:00:33.9740302Z c44ce13a2845: Waiting
2025-12-04T09:00:33.9740599Z 8207228fcdf1: Pulling fs layer
2025-12-04T09:00:33.9740885Z 139b745a81e3: Pulling fs layer
2025-12-04T09:00:33.9741157Z 234cd9d18c98: Waiting
2025-12-04T09:00:33.9741399Z 2c4c6714dbd1: Waiting
2025-12-04T09:00:33.9741623Z 8207228fcdf1: Waiting
2025-12-04T09:00:33.9741870Z ba4481f5578c: Pulling fs layer
2025-12-04T09:00:33.9742154Z 203dba8ae10a: Pulling fs layer
2025-12-04T09:00:33.9742413Z ba4481f5578c: Waiting
2025-12-04T09:00:33.9742647Z 139b745a81e3: Waiting
2025-12-04T09:00:33.9742893Z f41aa33686f2: Pulling fs layer
2025-12-04T09:00:33.9743229Z 203dba8ae10a: Waiting
2025-12-04T09:00:33.9743496Z deddacf20e34: Pulling fs layer
2025-12-04T09:00:33.9743789Z f79064513f3e: Pulling fs layer
2025-12-04T09:00:33.9744048Z f41aa33686f2: Waiting
2025-12-04T09:00:33.9744297Z c07a02d0d80b: Pulling fs layer
2025-12-04T09:00:33.9744583Z ed5b2189cf6c: Pulling fs layer
2025-12-04T09:00:33.9745001Z deddacf20e34: Waiting
2025-12-04T09:00:33.9745252Z f79064513f3e: Waiting
2025-12-04T09:00:33.9745493Z c07a02d0d80b: Waiting
2025-12-04T09:00:33.9745750Z 9cd2d3b0d1e2: Pulling fs layer
2025-12-04T09:00:33.9746013Z ed5b2189cf6c: Waiting
2025-12-04T09:00:33.9746264Z 3a2a672930d7: Pulling fs layer
2025-12-04T09:00:33.9746542Z 9cd2d3b0d1e2: Waiting
2025-12-04T09:00:33.9746776Z 170033e2e274: Pulling fs layer
2025-12-04T09:00:33.9747043Z 3a2a672930d7: Waiting
2025-12-04T09:00:33.9747278Z 170033e2e274: Waiting
2025-12-04T09:00:33.9747511Z 2f0d2adf918f: Pulling fs layer
2025-12-04T09:00:33.9747800Z db69eeaa71a7: Pulling fs layer
2025-12-04T09:00:33.9748074Z 2f0d2adf918f: Waiting
2025-12-04T09:00:33.9748306Z db69eeaa71a7: Waiting
2025-12-04T09:00:33.9748554Z 8a38b1604420: Pulling fs layer
2025-12-04T09:00:33.9748889Z 31f20538df74: Pulling fs layer
2025-12-04T09:00:33.9749149Z 8a38b1604420: Waiting
2025-12-04T09:00:33.9749392Z 45c2db9c5094: Pulling fs layer
2025-12-04T09:00:33.9749661Z 31f20538df74: Waiting
2025-12-04T09:00:33.9749900Z 83fc83d4a71b: Pulling fs layer
2025-12-04T09:00:33.9750170Z 45c2db9c5094: Waiting
2025-12-04T09:00:33.9750411Z ed733351a4e9: Pulling fs layer
2025-12-04T09:00:33.9750701Z 83fc83d4a71b: Waiting
2025-12-04T09:00:33.9750945Z bbae6fe5c9bd: Pulling fs layer
2025-12-04T09:00:33.9751261Z e5bc3a7842c5: Pulling fs layer
2025-12-04T09:00:33.9751559Z bbae6fe5c9bd: Waiting
2025-12-04T09:00:33.9751790Z ed733351a4e9: Waiting
2025-12-04T09:00:33.9752032Z e5bc3a7842c5: Waiting
2025-12-04T09:00:33.9752289Z 28fdea47e6d4: Pulling fs layer
2025-12-04T09:00:33.9752571Z 28fdea47e6d4: Waiting
2025-12-04T09:00:33.9752815Z 3eaf1ac0ebe0: Pulling fs layer
2025-12-04T09:00:33.9753112Z 9b7d9abce1de: Pulling fs layer
2025-12-04T09:00:33.9753407Z 50a30c3af4ed: Pulling fs layer
2025-12-04T09:00:33.9753677Z 3eaf1ac0ebe0: Waiting
2025-12-04T09:00:33.9753991Z 9b7d9abce1de: Waiting
2025-12-04T09:00:33.9754240Z 50a30c3af4ed: Waiting
2025-12-04T09:00:33.9754479Z 427605be7328: Pulling fs layer
2025-12-04T09:00:33.9754766Z 2e78828d8450: Pulling fs layer
2025-12-04T09:00:33.9755041Z 427605be7328: Waiting
2025-12-04T09:00:33.9755284Z feb2fda8afcb: Pulling fs layer
2025-12-04T09:00:33.9755561Z 2e78828d8450: Waiting
2025-12-04T09:00:33.9755806Z c39fc3292874: Pulling fs layer
2025-12-04T09:00:33.9756078Z f5dd6d1bfec2: Pulling fs layer
2025-12-04T09:00:33.9756382Z 27d31f4a998f: Pulling fs layer
2025-12-04T09:00:33.9756655Z feb2fda8afcb: Waiting
2025-12-04T09:00:33.9756883Z c39fc3292874: Waiting
2025-12-04T09:00:33.9757115Z 27d31f4a998f: Waiting
2025-12-04T09:00:33.9757359Z 3a9c9df47111: Pulling fs layer
2025-12-04T09:00:33.9757641Z 49e58a7aff50: Pulling fs layer
2025-12-04T09:00:33.9757909Z d73cc70c8e38: Pulling fs layer
2025-12-04T09:00:33.9758189Z 72731a4e1744: Pulling fs layer
2025-12-04T09:00:33.9758577Z 9bdfa50d4613: Pulling fs layer
2025-12-04T09:00:33.9758834Z 3a9c9df47111: Waiting
2025-12-04T09:00:33.9759072Z d73cc70c8e38: Waiting
2025-12-04T09:00:33.9759309Z 9bdfa50d4613: Waiting
2025-12-04T09:00:33.9759550Z f92f61507c58: Pulling fs layer
2025-12-04T09:00:33.9759821Z 49e58a7aff50: Waiting
2025-12-04T09:00:33.9760076Z f583bac55ad4: Pulling fs layer
2025-12-04T09:00:33.9760335Z 72731a4e1744: Waiting
2025-12-04T09:00:33.9760588Z b38f29d5c5a1: Pulling fs layer
2025-12-04T09:00:33.9760875Z 6f2f2987e05f: Pulling fs layer
2025-12-04T09:00:33.9761144Z 52a8f261ecc1: Pulling fs layer
2025-12-04T09:00:33.9761412Z f92f61507c58: Waiting
2025-12-04T09:00:33.9761651Z f583bac55ad4: Waiting
2025-12-04T09:00:33.9761875Z b38f29d5c5a1: Waiting
2025-12-04T09:00:33.9762111Z 6f2f2987e05f: Waiting
2025-12-04T09:00:33.9762344Z 52a8f261ecc1: Waiting
2025-12-04T09:00:34.0573741Z d7732e4f533e: Verifying Checksum
2025-12-04T09:00:34.1276944Z 19e82287cc31: Verifying Checksum
2025-12-04T09:00:34.1277481Z 19e82287cc31: Download complete
2025-12-04T09:00:34.3353292Z 63e5bc7682b8: Download complete
2025-12-04T09:00:34.4222417Z 7a5ef3f39ece: Download complete
2025-12-04T09:00:34.5038776Z 5b33d83a6793: Verifying Checksum
2025-12-04T09:00:34.5039410Z 5b33d83a6793: Download complete
2025-12-04T09:00:34.5845647Z 5a3431215643: Verifying Checksum
2025-12-04T09:00:34.5846022Z 5a3431215643: Download complete
2025-12-04T09:00:34.6624957Z 234cd9d18c98: Download complete
2025-12-04T09:00:34.7366330Z 2cfbe34dd01a: Download complete
2025-12-04T09:00:34.8459060Z 450bb83ff360: Verifying Checksum
2025-12-04T09:00:34.8459476Z 450bb83ff360: Download complete
2025-12-04T09:00:34.9520659Z af59f86639cd: Verifying Checksum
2025-12-04T09:00:34.9521040Z af59f86639cd: Download complete
2025-12-04T09:00:35.0339581Z 0fa897a49fab: Verifying Checksum
2025-12-04T09:00:35.0339949Z 0fa897a49fab: Download complete
2025-12-04T09:00:35.1377841Z 63e5bc7682b8: Pull complete
2025-12-04T09:00:35.1577723Z d7732e4f533e: Pull complete
2025-12-04T09:00:36.6657459Z 852c31a1f5de: Verifying Checksum
2025-12-04T09:00:36.6658059Z 852c31a1f5de: Download complete
2025-12-04T09:00:36.6734817Z 4f4fb700ef54: Verifying Checksum
2025-12-04T09:00:36.6735187Z 4f4fb700ef54: Download complete
2025-12-04T09:00:36.7503744Z fe6dfc1a05e1: Verifying Checksum
2025-12-04T09:00:36.7504186Z fe6dfc1a05e1: Download complete
2025-12-04T09:00:36.8138817Z 95bfeb706c37: Verifying Checksum
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2025-12-04T09:00:36.8866075Z a8da7b63746a: Verifying Checksum
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2025-12-04T09:02:14.1177487Z Digest: sha256:7e1c24debf12b78c62b7f0a71dfed065e57bf2457fa65b1cbaff63d50a90686e
2025-12-04T09:02:14.1656181Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:02:14.1894585Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:02:14.1961745Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:02:14.1962766Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:02:14.1969294Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:02:14.1969678Z env:
2025-12-04T09:02:14.1969902Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:02:14.1970174Z ##[endgroup]
2025-12-04T09:02:14.2142366Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2025-12-04T09:02:14.2142793Z with:
2025-12-04T09:02:14.2143016Z   driver-version: 580.82.07
2025-12-04T09:02:14.2143266Z env:
2025-12-04T09:02:14.2143480Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:02:14.2143741Z ##[endgroup]
2025-12-04T09:02:14.2254123Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:02:14.2255085Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:02:14.2260922Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:02:14.2261319Z env:
2025-12-04T09:02:14.2261534Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:02:14.2261786Z ##[endgroup]
2025-12-04T09:02:14.2309831Z ##[group]Run set -euo pipefail
2025-12-04T09:02:14.2310169Z set -euo pipefail
2025-12-04T09:02:14.2310477Z 
2025-12-04T09:02:14.2310687Z has_gpu=false
2025-12-04T09:02:14.2310950Z devices=""
2025-12-04T09:02:14.2311191Z 
2025-12-04T09:02:14.2311461Z if command -v nvidia-smi >/dev/null 2>&1; then
2025-12-04T09:02:14.2311929Z   if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T09:02:14.2312509Z     has_gpu=true
2025-12-04T09:02:14.2312812Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T09:02:14.2313140Z   fi
2025-12-04T09:02:14.2313356Z fi
2025-12-04T09:02:14.2313571Z 
2025-12-04T09:02:14.2313786Z if [ "$has_gpu" = false ]; then
2025-12-04T09:02:14.2314192Z   if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T09:02:14.2314584Z     has_gpu=true
2025-12-04T09:02:14.2314884Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T09:02:14.2315198Z   fi
2025-12-04T09:02:14.2315412Z fi
2025-12-04T09:02:14.2315626Z 
2025-12-04T09:02:14.2315928Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then
2025-12-04T09:02:14.2316454Z   if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T09:02:14.2316875Z     has_gpu=true
2025-12-04T09:02:14.2317158Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T09:02:14.2317476Z   fi
2025-12-04T09:02:14.2317687Z fi
2025-12-04T09:02:14.2317887Z 
2025-12-04T09:02:14.2318294Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT"
2025-12-04T09:02:14.2318907Z printf 'DETECTED_DEVICES<<EOF\n%s\nEOF\n' "$devices" >> "$GITHUB_OUTPUT"
2025-12-04T09:02:14.2324491Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:02:14.2324864Z env:
2025-12-04T09:02:14.2325090Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:02:14.2325358Z ##[endgroup]
2025-12-04T09:02:14.3183554Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then
2025-12-04T09:02:14.3183958Z if [ "${HAS_NVIDIA}" = "true" ]; then
2025-12-04T09:02:14.3184471Z   echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}"
2025-12-04T09:02:14.3185034Z   echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}"
2025-12-04T09:02:14.3185517Z else
2025-12-04T09:02:14.3185792Z   echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}"
2025-12-04T09:02:14.3186144Z fi
2025-12-04T09:02:14.3191311Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:02:14.3191689Z env:
2025-12-04T09:02:14.3191908Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:02:14.3192177Z   HAS_NVIDIA: false
2025-12-04T09:02:14.3192400Z ##[endgroup]
2025-12-04T09:02:14.3270084Z Prepare all required actions
2025-12-04T09:02:14.3319741Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-12-04T09:02:14.3320090Z with:
2025-12-04T09:02:14.3320641Z   github-token: ***
2025-12-04T09:02:14.3320877Z env:
2025-12-04T09:02:14.3321071Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:02:14.3321340Z   HAS_NVIDIA_GPU: false
2025-12-04T09:02:14.3321588Z ##[endgroup]
2025-12-04T09:02:14.3382034Z ##[group]Run set -eux
2025-12-04T09:02:14.3382299Z set -eux
2025-12-04T09:02:14.3382759Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-12-04T09:02:14.3387950Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:02:14.3388320Z env:
2025-12-04T09:02:14.3388551Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:02:14.3388827Z   HAS_NVIDIA_GPU: false
2025-12-04T09:02:14.3389229Z   GITHUB_TOKEN: ***
2025-12-04T09:02:14.3389461Z ##[endgroup]
2025-12-04T09:02:14.3413030Z + python3 .github/scripts/get_workflow_job_id.py 19922773007 i-0432f28cd9c38fe5d
2025-12-04T09:02:15.1305102Z Setting output job-id=57116443104
2025-12-04T09:02:15.1305849Z Setting output job-name=linux-jammy-py3.10-clang18-asan / test (slow, 1, 3, lf.linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:02:15.1445433Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-12-04T09:02:15.1446205Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-12-04T09:02:15.1447330Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-12-04T09:02:15.1448234Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:02:15.1454193Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:02:15.1454570Z env:
2025-12-04T09:02:15.1454788Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:02:15.1455070Z   HAS_NVIDIA_GPU: false
2025-12-04T09:02:15.1455311Z   JOB_ID: 57116443104
2025-12-04T09:02:15.1455805Z   JOB_NAME: linux-jammy-py3.10-clang18-asan / test (slow, 1, 3, lf.linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:02:15.1456364Z   WORKFLOW_NAME: slow
2025-12-04T09:02:15.1456669Z   WORKFLOW_RUN_ID: 19922773007
2025-12-04T09:02:15.1456937Z   MONITOR_LOG_INTERVAL: 5
2025-12-04T09:02:15.1457212Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-12-04T09:02:15.1457504Z ##[endgroup]
2025-12-04T09:02:15.8180974Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T09:02:16.1952217Z Collecting psutil==5.9.8
2025-12-04T09:02:16.2117600Z   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)
2025-12-04T09:02:16.3426152Z Collecting dataclasses_json==0.6.7
2025-12-04T09:02:16.3504197Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-12-04T09:02:16.4036637Z Collecting nvidia-ml-py==11.525.84
2025-12-04T09:02:16.4070517Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-12-04T09:02:16.4779700Z Collecting typing-inspect<1,>=0.4.0
2025-12-04T09:02:16.4812254Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-12-04T09:02:16.6418024Z Collecting marshmallow<4.0.0,>=3.18.0
2025-12-04T09:02:16.6540604Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-12-04T09:02:16.7594731Z Collecting packaging>=17.0
2025-12-04T09:02:16.7637791Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-12-04T09:02:16.8351035Z Collecting mypy-extensions>=0.3.0
2025-12-04T09:02:16.8388262Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-12-04T09:02:16.9330917Z Collecting typing-extensions>=3.7.4
2025-12-04T09:02:16.9411800Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-12-04T09:02:17.1818784Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-12-04T09:02:17.7872251Z 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
2025-12-04T09:02:18.0144859Z Prepare all required actions
2025-12-04T09:02:18.0145248Z Getting action download info
2025-12-04T09:02:18.1744699Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-12-04T09:02:18.4184353Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-12-04T09:02:18.7434224Z ##[group]Run ./.github/actions/download-build-artifacts
2025-12-04T09:02:18.7434602Z with:
2025-12-04T09:02:18.7434847Z   name: linux-jammy-py3.10-clang18-asan
2025-12-04T09:02:18.7435198Z   s3-bucket: gha-artifacts
2025-12-04T09:02:18.7435461Z env:
2025-12-04T09:02:18.7435675Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:02:18.7435933Z   HAS_NVIDIA_GPU: false
2025-12-04T09:02:18.7436178Z ##[endgroup]
2025-12-04T09:02:18.7467073Z ##[group]Run seemethere/download-artifact-s3@v4
2025-12-04T09:02:18.7467684Z with:
2025-12-04T09:02:18.7468353Z   name: linux-jammy-py3.10-clang18-asan
2025-12-04T09:02:18.7468912Z   s3-bucket: gha-artifacts
2025-12-04T09:02:18.7469338Z   region: us-east-1
2025-12-04T09:02:18.7469557Z env:
2025-12-04T09:02:18.7469767Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:02:18.7470034Z   HAS_NVIDIA_GPU: false
2025-12-04T09:02:18.7470266Z ##[endgroup]
2025-12-04T09:02:19.2278583Z (node:42767) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-12-04T09:02:19.2279101Z 
2025-12-04T09:02:19.2279304Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-12-04T09:02:19.2279856Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-12-04T09:02:19.2280459Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-12-04T09:02:19.4925922Z Found 1 objects with prefix pytorch/pytorch/19922773007/linux-jammy-py3.10-clang18-asan/
2025-12-04T09:02:19.4926691Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-12-04T09:02:46.5273861Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-12-04T09:02:46.5279644Z Artifact download has finished successfully
2025-12-04T09:02:46.5477441Z ##[group]Run unzip -o artifacts.zip
2025-12-04T09:02:46.5477801Z unzip -o artifacts.zip
2025-12-04T09:02:46.5484292Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:02:46.5484670Z env:
2025-12-04T09:02:46.5484887Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:02:46.5485158Z   HAS_NVIDIA_GPU: false
2025-12-04T09:02:46.5485392Z ##[endgroup]
2025-12-04T09:02:46.5715279Z Archive:  artifacts.zip
2025-12-04T09:02:46.5716169Z    creating: dist/
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2025-12-04T09:03:29.4624962Z   inflating: build/bin/test_cpp_rpc  
2025-12-04T09:03:30.2007096Z   inflating: build/bin/test_jit      
2025-12-04T09:03:30.8524152Z   inflating: build/bin/test_api      
2025-12-04T09:03:30.8538674Z   inflating: build/bin/parallel_benchmark  
2025-12-04T09:03:30.8560365Z   inflating: build/bin/torch_shm_manager  
2025-12-04T09:03:30.8561016Z    creating: .additional_ci_files/
2025-12-04T09:03:30.8618025Z   inflating: .additional_ci_files/test-times.json  
2025-12-04T09:03:30.8826732Z   inflating: .additional_ci_files/test-class-times.json  
2025-12-04T09:03:30.8873804Z ##[group]Run rm artifacts.zip
2025-12-04T09:03:30.8874140Z rm artifacts.zip
2025-12-04T09:03:30.8880002Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:03:30.8880392Z env:
2025-12-04T09:03:30.8880608Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:03:30.8880871Z   HAS_NVIDIA_GPU: false
2025-12-04T09:03:30.8881125Z ##[endgroup]
2025-12-04T09:03:31.0488151Z ##[group]Run df -H
2025-12-04T09:03:31.0488393Z df -H
2025-12-04T09:03:31.0493976Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:03:31.0494364Z env:
2025-12-04T09:03:31.0494580Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:03:31.0494851Z   HAS_NVIDIA_GPU: false
2025-12-04T09:03:31.0495099Z ##[endgroup]
2025-12-04T09:03:31.0531968Z Filesystem        Size  Used Avail Use% Mounted on
2025-12-04T09:03:31.0532364Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-12-04T09:03:31.0532716Z tmpfs              17G     0   17G   0% /dev/shm
2025-12-04T09:03:31.0533049Z tmpfs             6.6G  517k  6.6G   1% /run
2025-12-04T09:03:31.0533398Z /dev/nvme0n1p1    161G   34G  128G  21% /
2025-12-04T09:03:31.0533732Z tmpfs              17G   13k   17G   1% /tmp
2025-12-04T09:03:31.0534305Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-12-04T09:03:31.0588884Z Prepare all required actions
2025-12-04T09:03:31.0589629Z Getting action download info
2025-12-04T09:03:31.2266102Z ##[group]Run ./.github/actions/download-td-artifacts
2025-12-04T09:03:31.2266469Z with:
2025-12-04T09:03:31.2266678Z env:
2025-12-04T09:03:31.2266886Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:03:31.2267171Z   HAS_NVIDIA_GPU: false
2025-12-04T09:03:31.2267425Z ##[endgroup]
2025-12-04T09:03:31.2354794Z ##[group]Run seemethere/download-artifact-s3@v4
2025-12-04T09:03:31.2355132Z with:
2025-12-04T09:03:31.2355322Z   name: td_results
2025-12-04T09:03:31.2355553Z   s3-bucket: gha-artifacts
2025-12-04T09:03:31.2355810Z   region: us-east-1
2025-12-04T09:03:31.2356030Z env:
2025-12-04T09:03:31.2356225Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:03:31.2356489Z   HAS_NVIDIA_GPU: false
2025-12-04T09:03:31.2356728Z ##[endgroup]
2025-12-04T09:03:31.6796853Z (node:42801) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-12-04T09:03:31.6797546Z 
2025-12-04T09:03:31.6797750Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-12-04T09:03:31.6798308Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-12-04T09:03:31.6798869Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-12-04T09:03:31.7899044Z Found 1 objects with prefix pytorch/pytorch/19922773007/td_results/
2025-12-04T09:03:31.7899766Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-12-04T09:03:31.8689892Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-12-04T09:03:31.8695404Z Artifact download has finished successfully
2025-12-04T09:03:31.8842346Z ##[group]Run mkdir -p .additional_ci_files
2025-12-04T09:03:31.8842714Z mkdir -p .additional_ci_files
2025-12-04T09:03:31.8843161Z mv td_results.json .additional_ci_files/td_results.json || true
2025-12-04T09:03:31.8849788Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:03:31.8850166Z env:
2025-12-04T09:03:31.8850381Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:03:31.8850653Z   HAS_NVIDIA_GPU: false
2025-12-04T09:03:31.8850894Z ##[endgroup]
2025-12-04T09:03:31.8963876Z ##[group]Run .github/scripts/parse_ref.py
2025-12-04T09:03:31.8964264Z .github/scripts/parse_ref.py
2025-12-04T09:03:31.8969734Z shell: /usr/bin/bash -e {0}
2025-12-04T09:03:31.8970032Z env:
2025-12-04T09:03:31.8970250Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:03:31.8970510Z   HAS_NVIDIA_GPU: false
2025-12-04T09:03:31.8970760Z ##[endgroup]
2025-12-04T09:03:31.9171310Z Setting output branch=main
2025-12-04T09:03:31.9299286Z Prepare all required actions
2025-12-04T09:03:31.9299679Z Getting action download info
2025-12-04T09:03:32.0699931Z ##[group]Run ./.github/actions/filter-test-configs
2025-12-04T09:03:32.0700278Z with:
2025-12-04T09:03:32.0700679Z   github-token: ***
2025-12-04T09:03:32.0702107Z   test-matrix: {"include": [{"config": "slow", "shard": 1, "num_shards": 3, "runner": "lf.linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "lf.linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "lf.linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}
2025-12-04T09:03:32.0703859Z   job-name: linux-jammy-py3.10-clang18-asan / test (slow, 1, 3, lf.linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:03:32.0704426Z env:
2025-12-04T09:03:32.0704630Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:03:32.0704910Z   HAS_NVIDIA_GPU: false
2025-12-04T09:03:32.0705212Z ##[endgroup]
2025-12-04T09:03:32.0817118Z ##[group]Run nick-fields/retry@v3.0.0
2025-12-04T09:03:32.0817413Z with:
2025-12-04T09:03:32.0817622Z   shell: bash
2025-12-04T09:03:32.0817852Z   timeout_minutes: 10
2025-12-04T09:03:32.0818091Z   max_attempts: 5
2025-12-04T09:03:32.0818329Z   retry_wait_seconds: 30
2025-12-04T09:03:32.0819156Z   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

2025-12-04T09:03:32.0820030Z   polling_interval_seconds: 1
2025-12-04T09:03:32.0820307Z   warning_on_retry: true
2025-12-04T09:03:32.0820574Z   continue_on_error: false
2025-12-04T09:03:32.0820830Z env:
2025-12-04T09:03:32.0821025Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:03:32.0821444Z   HAS_NVIDIA_GPU: false
2025-12-04T09:03:32.0821862Z   GITHUB_TOKEN: ***
2025-12-04T09:03:32.0822097Z ##[endgroup]
2025-12-04T09:03:32.1712137Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-12-04T09:03:32.3999443Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T09:03:32.5426063Z Collecting requests==2.27.1
2025-12-04T09:03:32.5574985Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-12-04T09:03:32.7811181Z Collecting pyyaml==6.0.2
2025-12-04T09:03:32.7844397Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-12-04T09:03:32.8979455Z Collecting certifi>=2017.4.17
2025-12-04T09:03:32.9012685Z   Downloading certifi-2025.11.12-py3-none-any.whl (159 kB)
2025-12-04T09:03:32.9299387Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-12-04T09:03:33.3302533Z Collecting charset-normalizer~=2.0.0
2025-12-04T09:03:33.3334604Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-12-04T09:03:33.3567884Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-12-04T09:03:33.4383223Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-12-04T09:03:33.7293802Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-12-04T09:03:34.1546771Z Command completed after 1 attempt(s).
2025-12-04T09:03:34.1646654Z ##[group]Run set -x
2025-12-04T09:03:34.1647035Z set -x
2025-12-04T09:03:34.1647273Z 
2025-12-04T09:03:34.1647678Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-12-04T09:03:34.1648183Z # in runner workspace
2025-12-04T09:03:34.1648567Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-12-04T09:03:34.1654626Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:03:34.1655040Z env:
2025-12-04T09:03:34.1655257Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:03:34.1655535Z   HAS_NVIDIA_GPU: false
2025-12-04T09:03:34.1655793Z ##[endgroup]
2025-12-04T09:03:34.1680262Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-12-04T09:03:34.1862163Z Setting output branch=main
2025-12-04T09:03:34.1942014Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-12-04T09:03:34.1942420Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-12-04T09:03:34.1942770Z echo "Job name: ${JOB_NAME}"
2025-12-04T09:03:34.1943076Z 
2025-12-04T09:03:34.1943448Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-12-04T09:03:34.1943944Z # in runner workspace
2025-12-04T09:03:34.1944379Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-12-04T09:03:34.1944862Z   --workflow "${GITHUB_WORKFLOW}" \
2025-12-04T09:03:34.1945214Z   --job-name "${JOB_NAME}" \
2025-12-04T09:03:34.1946756Z   --test-matrix "{"include": [{"config": "slow", "shard": 1, "num_shards": 3, "runner": "lf.linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "lf.linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "lf.linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}" \
2025-12-04T09:03:34.1948309Z   --selected-test-configs "" \
2025-12-04T09:03:34.1948653Z   --pr-number "${PR_NUMBER}" \
2025-12-04T09:03:34.1948959Z   --tag "${TAG}" \
2025-12-04T09:03:34.1949250Z   --event-name "${EVENT_NAME}" \
2025-12-04T09:03:34.1949579Z   --schedule "${SCHEDULE}" \
2025-12-04T09:03:34.1949885Z   --branch "${HEAD_BRANCH}"
2025-12-04T09:03:34.1955544Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:03:34.1956091Z env:
2025-12-04T09:03:34.1956296Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:03:34.1956571Z   HAS_NVIDIA_GPU: false
2025-12-04T09:03:34.1957145Z   GITHUB_TOKEN: ***
2025-12-04T09:03:34.1957649Z   JOB_NAME: linux-jammy-py3.10-clang18-asan / test (slow, 1, 3, lf.linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:03:34.1958189Z   PR_NUMBER: 
2025-12-04T09:03:34.1958411Z   TAG: 
2025-12-04T09:03:34.1958627Z   EVENT_NAME: schedule
2025-12-04T09:03:34.1958869Z   SCHEDULE: 29 8 * * *
2025-12-04T09:03:34.1959116Z   HEAD_BRANCH: main
2025-12-04T09:03:34.1959346Z ##[endgroup]
2025-12-04T09:03:34.1981147Z Workflow: slow
2025-12-04T09:03:34.1981649Z Job name: linux-jammy-py3.10-clang18-asan / test (slow, 1, 3, lf.linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:03:34.3837174Z Setting output keep-going=True
2025-12-04T09:03:34.3837510Z Setting output ci-verbose-test-logs=False
2025-12-04T09:03:34.3837872Z Setting output ci-test-showlocals=False
2025-12-04T09:03:34.3838231Z Setting output ci-no-test-timeout=False
2025-12-04T09:03:34.3838560Z Setting output ci-no-td=False
2025-12-04T09:03:34.3838855Z Setting output ci-td-distributed=False
2025-12-04T09:03:34.3839184Z Setting output is-unstable=False
2025-12-04T09:03:34.3839514Z Setting output reenabled-issues=
2025-12-04T09:03:34.3841065Z Setting output test-matrix={"include": [{"config": "slow", "shard": 1, "num_shards": 3, "runner": "lf.linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "lf.linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "lf.linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}
2025-12-04T09:03:34.3842667Z Setting output is-test-matrix-empty=False
2025-12-04T09:03:34.3962629Z ##[group]Run echo "Filtered matrix:"
2025-12-04T09:03:34.3962968Z echo "Filtered matrix:"
2025-12-04T09:03:34.3964585Z echo "{"include": [{"config": "slow", "shard": 1, "num_shards": 3, "runner": "lf.linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 2, "num_shards": 3, "runner": "lf.linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 3, "num_shards": 3, "runner": "lf.linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}"
2025-12-04T09:03:34.3966082Z 
2025-12-04T09:03:34.3966286Z echo
2025-12-04T09:03:34.3966565Z echo "Is the current job unstable? False"
2025-12-04T09:03:34.3966987Z 
2025-12-04T09:03:34.3967195Z echo
2025-12-04T09:03:34.3967452Z echo "Is keep-going label set? True"
2025-12-04T09:03:34.3967764Z 
2025-12-04T09:03:34.3967967Z echo
2025-12-04T09:03:34.3968203Z echo "Reenabled issues? "
2025-12-04T09:03:34.3973558Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:03:34.3973945Z env:
2025-12-04T09:03:34.3974161Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:03:34.3974437Z   HAS_NVIDIA_GPU: false
2025-12-04T09:03:34.3974671Z ##[endgroup]
2025-12-04T09:03:34.3995740Z Filtered matrix:
2025-12-04T09:03:34.3997272Z {include: [{config: slow, shard: 1, num_shards: 3, runner: lf.linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: slow, shard: 2, num_shards: 3, runner: lf.linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: slow, shard: 3, num_shards: 3, runner: lf.linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}]}
2025-12-04T09:03:34.3998733Z 
2025-12-04T09:03:34.3998841Z Is the current job unstable? False
2025-12-04T09:03:34.3999050Z 
2025-12-04T09:03:34.3999166Z Is keep-going label set? True
2025-12-04T09:03:34.3999351Z 
2025-12-04T09:03:34.3999450Z Reenabled issues? 
2025-12-04T09:03:34.4048186Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-12-04T09:03:34.4048725Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-12-04T09:03:34.4054111Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:03:34.4054608Z env:
2025-12-04T09:03:34.4054823Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:03:34.4055102Z   HAS_NVIDIA_GPU: false
2025-12-04T09:03:34.4055339Z   JOB_TIMEOUT: 240
2025-12-04T09:03:34.4055568Z ##[endgroup]
2025-12-04T09:03:34.4146644Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:03:34.4147171Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:03:34.4147641Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:03:34.4152636Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:03:34.4153023Z env:
2025-12-04T09:03:34.4153240Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:03:34.4153514Z   HAS_NVIDIA_GPU: false
2025-12-04T09:03:34.4153748Z ##[endgroup]
2025-12-04T09:03:34.4246485Z ##[group]Run set -x
2025-12-04T09:03:34.4246815Z set -x
2025-12-04T09:03:34.4247137Z 
2025-12-04T09:03:34.4247389Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-12-04T09:03:34.4247793Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-12-04T09:03:34.4248203Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-12-04T09:03:34.4248576Z   TEST_COMMAND=.ci/onnx/test.sh
2025-12-04T09:03:34.4248873Z else
2025-12-04T09:03:34.4249126Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-12-04T09:03:34.4249441Z fi
2025-12-04T09:03:34.4249632Z 
2025-12-04T09:03:34.4249897Z # Leaving 1GB for the runner and other things
2025-12-04T09:03:34.4250499Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-12-04T09:03:34.4251401Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-12-04T09:03:34.4252136Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-12-04T09:03:34.4252686Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-12-04T09:03:34.4253125Z 
2025-12-04T09:03:34.4253378Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-12-04T09:03:34.4253732Z   SHM_OPTS=
2025-12-04T09:03:34.4253981Z   JENKINS_USER=
2025-12-04T09:03:34.4254324Z   # ensure that docker container cleanly exits in 12 hours
2025-12-04T09:03:34.4254814Z   # if for some reason cleanup action doesn't stop container
2025-12-04T09:03:34.4255224Z   # when job is cancelled
2025-12-04T09:03:34.4255539Z   DOCKER_SHELL_CMD="sleep 12h"
2025-12-04T09:03:34.4255866Z   USED_IMAGE="${DOCKER_IMAGE_S390X}"
2025-12-04T09:03:34.4256187Z else
2025-12-04T09:03:34.4256440Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-12-04T09:03:34.4256775Z   JENKINS_USER="--user jenkins"
2025-12-04T09:03:34.4257098Z   DOCKER_SHELL_CMD=
2025-12-04T09:03:34.4257387Z   USED_IMAGE="${DOCKER_IMAGE}"
2025-12-04T09:03:34.4257681Z fi
2025-12-04T09:03:34.4257890Z 
2025-12-04T09:03:34.4258232Z # detached container should get cleaned up by teardown_ec2_linux
2025-12-04T09:03:34.4258788Z # TODO: Stop building test binaries as part of the build phase
2025-12-04T09:03:34.4259406Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-12-04T09:03:34.4259959Z # shellcheck disable=SC2086,SC2090
2025-12-04T09:03:34.4260304Z container_name=$(docker run \
2025-12-04T09:03:34.4260612Z   ${GPU_FLAG:-} \
2025-12-04T09:03:34.4260919Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-12-04T09:03:34.4261266Z   -e BUILD_ENVIRONMENT \
2025-12-04T09:03:34.4261570Z   -e PR_NUMBER \
2025-12-04T09:03:34.4261833Z   -e GITHUB_ACTIONS \
2025-12-04T09:03:34.4262122Z   -e GITHUB_REPOSITORY \
2025-12-04T09:03:34.4262422Z   -e GITHUB_WORKFLOW \
2025-12-04T09:03:34.4262839Z   -e GITHUB_JOB \
2025-12-04T09:03:34.4263113Z   -e GITHUB_RUN_ID \
2025-12-04T09:03:34.4263395Z   -e GITHUB_RUN_NUMBER \
2025-12-04T09:03:34.4263684Z   -e GITHUB_RUN_ATTEMPT \
2025-12-04T09:03:34.4263982Z   -e JOB_ID \
2025-12-04T09:03:34.4264238Z   -e JOB_NAME \
2025-12-04T09:03:34.4264496Z   -e BASE_SHA \
2025-12-04T09:03:34.4264740Z   -e BRANCH \
2025-12-04T09:03:34.4264991Z   -e SHA1 \
2025-12-04T09:03:34.4265246Z   -e AWS_DEFAULT_REGION \
2025-12-04T09:03:34.4265535Z   -e IN_WHEEL_TEST \
2025-12-04T09:03:34.4265817Z   -e SHARD_NUMBER \
2025-12-04T09:03:34.4266089Z   -e TEST_CONFIG \
2025-12-04T09:03:34.4266352Z   -e NUM_TEST_SHARDS \
2025-12-04T09:03:34.4266729Z   -e REENABLED_ISSUES \
2025-12-04T09:03:34.4267040Z   -e CONTINUE_THROUGH_ERROR \
2025-12-04T09:03:34.4267348Z   -e VERBOSE_TEST_LOGS \
2025-12-04T09:03:34.4267655Z   -e TEST_SHOWLOCALS \
2025-12-04T09:03:34.4267948Z   -e NO_TEST_TIMEOUT \
2025-12-04T09:03:34.4268230Z   -e NO_TD \
2025-12-04T09:03:34.4268476Z   -e TD_DISTRIBUTED \
2025-12-04T09:03:34.4268760Z   -e PR_LABELS \
2025-12-04T09:03:34.4269058Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-12-04T09:03:34.4269387Z   -e SCCACHE_BUCKET \
2025-12-04T09:03:34.4269676Z   -e SCCACHE_REGION \
2025-12-04T09:03:34.4269953Z   -e XLA_CUDA \
2025-12-04T09:03:34.4270232Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-12-04T09:03:34.4270599Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-12-04T09:03:34.4270973Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-12-04T09:03:34.4271351Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-12-04T09:03:34.4271685Z   -e HUGGING_FACE_HUB_TOKEN \
2025-12-04T09:03:34.4272019Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-12-04T09:03:34.4272371Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-12-04T09:03:34.4272683Z   -e DASHBOARD_TAG \
2025-12-04T09:03:34.4272969Z   -e ARTIFACTS_FILE_SUFFIX \
2025-12-04T09:03:34.4273336Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-12-04T09:03:34.4273749Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-12-04T09:03:34.4274174Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-12-04T09:03:34.4274574Z   --security-opt seccomp=unconfined \
2025-12-04T09:03:34.4274919Z   --cap-add=SYS_PTRACE \
2025-12-04T09:03:34.4275203Z   --ipc=host \
2025-12-04T09:03:34.4275460Z   ${SHM_OPTS} \
2025-12-04T09:03:34.4275708Z   --tty \
2025-12-04T09:03:34.4275929Z   --detach \
2025-12-04T09:03:34.4276198Z   --name="${container_name}" \
2025-12-04T09:03:34.4276514Z   ${JENKINS_USER} \
2025-12-04T09:03:34.4276853Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-12-04T09:03:34.4277261Z   -w /var/lib/jenkins/workspace \
2025-12-04T09:03:34.4277583Z   "${USED_IMAGE}" \
2025-12-04T09:03:34.4277857Z   ${DOCKER_SHELL_CMD}
2025-12-04T09:03:34.4278110Z )
2025-12-04T09:03:34.4278447Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-12-04T09:03:34.4278869Z 
2025-12-04T09:03:34.4279120Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-12-04T09:03:34.4279721Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-12-04T09:03:34.4280263Z fi
2025-12-04T09:03:34.4280475Z 
2025-12-04T09:03:34.4280971Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-12-04T09:03:34.4286165Z shell: /usr/bin/bash -e {0}
2025-12-04T09:03:34.4286436Z env:
2025-12-04T09:03:34.4286637Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:03:34.4287074Z   HAS_NVIDIA_GPU: false
2025-12-04T09:03:34.4287394Z   BUILD_ENVIRONMENT: linux-jammy-py3.10-clang18-asan
2025-12-04T09:03:34.4287744Z   PR_NUMBER: 
2025-12-04T09:03:34.4287986Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-12-04T09:03:34.4288295Z   GITHUB_WORKFLOW: slow
2025-12-04T09:03:34.4288529Z   GITHUB_JOB: test
2025-12-04T09:03:34.4288765Z   GITHUB_RUN_ID: 19922773007
2025-12-04T09:03:34.4289037Z   GITHUB_RUN_NUMBER: 21325
2025-12-04T09:03:34.4289300Z   GITHUB_RUN_ATTEMPT: 1
2025-12-04T09:03:34.4289532Z   JOB_ID: 57116443104
2025-12-04T09:03:34.4290018Z   JOB_NAME: linux-jammy-py3.10-clang18-asan / test (slow, 1, 3, lf.linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:03:34.4290567Z   BRANCH: main
2025-12-04T09:03:34.4290831Z   SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:03:34.4291312Z   BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:03:34.4291652Z   TEST_CONFIG: slow
2025-12-04T09:03:34.4291888Z   SHARD_NUMBER: 1
2025-12-04T09:03:34.4292124Z   NUM_TEST_SHARDS: 3
2025-12-04T09:03:34.4292348Z   EXTRA_FLAGS: 
2025-12-04T09:03:34.4292580Z   OP_BENCHMARK_TESTS: 
2025-12-04T09:03:34.4292833Z   REENABLED_ISSUES: 
2025-12-04T09:03:34.4293076Z   CONTINUE_THROUGH_ERROR: True
2025-12-04T09:03:34.4293366Z   VERBOSE_TEST_LOGS: False
2025-12-04T09:03:34.4293639Z   TEST_SHOWLOCALS: False
2025-12-04T09:03:34.4293890Z   NO_TEST_TIMEOUT: False
2025-12-04T09:03:34.4294142Z   NO_TD: False
2025-12-04T09:03:34.4294368Z   TD_DISTRIBUTED: False
2025-12-04T09:03:34.4294676Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-12-04T09:03:34.4295031Z   SCCACHE_REGION: us-east-1
2025-12-04T09:03:34.4295298Z   SHM_SIZE: 1g
2025-12-04T09:03:34.4296056Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:03:34.4297683Z   DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:03:34.4298528Z   XLA_CUDA: 
2025-12-04T09:03:34.4298888Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-12-04T09:03:34.4299360Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-12-04T09:03:34.4299671Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 1
2025-12-04T09:03:34.4299977Z   DASHBOARD_TAG: 
2025-12-04T09:03:34.4300417Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-12-04T09:03:34.4300826Z   HUGGING_FACE_HUB_TOKEN: ***
2025-12-04T09:03:34.4301243Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-12-04T09:03:34.4301641Z   ARTIFACTS_FILE_SUFFIX: test-slow-1-3-lf.linux.4xlarge_57116443104
2025-12-04T09:03:34.4302054Z ##[endgroup]
2025-12-04T09:03:34.4322882Z + [[ slow == \m\u\l\t\i\g\p\u ]]
2025-12-04T09:03:34.4323237Z + [[ linux-jammy-py3.10-clang18-asan == *onnx* ]]
2025-12-04T09:03:34.4323597Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-12-04T09:03:34.4326041Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-12-04T09:03:34.4343310Z + TOTAL_AVAILABLE_MEMORY_IN_GB='29.641 '
2025-12-04T09:03:34.4343671Z + TOTAL_MEMORY_WITH_SWAP=32
2025-12-04T09:03:34.4343995Z + [[ linux-jammy-py3.10-clang18-asan == *\s\3\9\0\x* ]]
2025-12-04T09:03:34.4344363Z + SHM_OPTS=--shm-size=1g
2025-12-04T09:03:34.4344632Z + JENKINS_USER='--user jenkins'
2025-12-04T09:03:34.4344897Z + DOCKER_SHELL_CMD=
2025-12-04T09:03:34.4345659Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:03:34.4351295Z +++ nproc --ignore=2
2025-12-04T09:03:34.4686300Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=14 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=29g --memory-swap=32g --env-file=/tmp/github_env_19922773007 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:03:59.3528684Z + container_name=fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:03:59.3529481Z + echo DOCKER_CONTAINER_ID=fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:03:59.3530114Z + [[ linux-jammy-py3.10-clang18-asan == *\s\3\9\0\x* ]]
2025-12-04T09:03:59.3535129Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl
2025-12-04T09:03:59.3536884Z + docker exec -t fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-12-04T09:03:59.7549132Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f)
2025-12-04T09:04:02.5978166Z 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)
2025-12-04T09:04:02.5982121Z 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)
2025-12-04T09:04:02.5986459Z 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)
2025-12-04T09:04:02.5991109Z 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)
2025-12-04T09:04:02.5994704Z 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)
2025-12-04T09:04:02.5999664Z 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)
2025-12-04T09:04:02.6013312Z 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)
2025-12-04T09:04:02.6384766Z 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)
2025-12-04T09:04:02.6404221Z 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)
2025-12-04T09:04:02.6460917Z 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)
2025-12-04T09:04:03.0473328Z Installing collected packages: torch
2025-12-04T09:04:30.6768893Z Successfully installed torch-2.10.0a0+gitffd9b0f
2025-12-04T09:04:30.7913298Z + export TERM=vt100
2025-12-04T09:04:30.7913550Z + TERM=vt100
2025-12-04T09:04:30.7915705Z ++ dirname .ci/pytorch/test.sh
2025-12-04T09:04:30.8059214Z + source .ci/pytorch/common.sh
2025-12-04T09:04:30.8115263Z +++ dirname .ci/pytorch/common.sh
2025-12-04T09:04:30.8121361Z ++ source .ci/pytorch/common_utils.sh
2025-12-04T09:04:30.8152267Z +++ declare -f -t trap_add
2025-12-04T09:04:30.8157570Z ++ set -ex -o pipefail
2025-12-04T09:04:30.8157870Z ++ [[ linux-jammy-py3.10-clang18-asan == *rocm* ]]
2025-12-04T09:04:30.8158236Z ++ BUILD_TEST_LIBTORCH=0
2025-12-04T09:04:30.8160896Z ++ dirname .ci/pytorch/test.sh
2025-12-04T09:04:30.8167071Z + source .ci/pytorch/common-build.sh
2025-12-04T09:04:30.8217623Z ++ [[ linux-jammy-py3.10-clang18-asan != *win-* ]]
2025-12-04T09:04:30.8222424Z ++++ dirname .ci/pytorch/common-build.sh
2025-12-04T09:04:30.8228842Z +++ cd .ci/pytorch
2025-12-04T09:04:30.8229455Z +++ pwd -P
2025-12-04T09:04:30.8274907Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-12-04T09:04:30.8275402Z ++ [[ linux-jammy-py3.10-clang18-asan == *-pch* ]]
2025-12-04T09:04:30.8275944Z ++ which sccache
2025-12-04T09:04:30.8403683Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-12-04T09:04:30.8404075Z ++ sccache --stop-server
2025-12-04T09:04:30.8741764Z ++ true
2025-12-04T09:04:30.8742044Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-12-04T09:04:30.8823814Z ++ trap_add sccache_epilogue EXIT
2025-12-04T09:04:30.8824134Z ++ trap_add_cmd=sccache_epilogue
2025-12-04T09:04:30.8824416Z ++ shift
2025-12-04T09:04:30.8824634Z ++ for trap_add_name in "$@"
2025-12-04T09:04:30.8829671Z ++++ trap -p EXIT
2025-12-04T09:04:30.8831725Z +++ eval 'extract_trap_cmd '
2025-12-04T09:04:30.8832003Z ++++ extract_trap_cmd
2025-12-04T09:04:30.8832294Z ++++ printf '%s\n' ''
2025-12-04T09:04:30.8832544Z +++ printf '%s\n' sccache_epilogue
2025-12-04T09:04:30.8834077Z ++ trap -- '
2025-12-04T09:04:30.8834306Z sccache_epilogue' EXIT
2025-12-04T09:04:30.8834952Z ++ [[ -n 1 ]]
2025-12-04T09:04:30.8835335Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-12-04T09:04:30.8835970Z Skipping sccache server initialization, setting environment variables
2025-12-04T09:04:30.8836441Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:04:30.8836721Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:04:30.8837083Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:04:30.8837538Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:04:30.8843553Z ++ export RUST_LOG=sccache::server=error
2025-12-04T09:04:30.8843916Z ++ RUST_LOG=sccache::server=error
2025-12-04T09:04:30.8844251Z ++ sccache --zero-stats
2025-12-04T09:04:31.0038683Z Statistics zeroed.
2025-12-04T09:04:31.0042095Z ++ which ccache
2025-12-04T09:04:31.0052378Z + [[ linux-jammy-py3.10-clang18-asan != *rocm* ]]
2025-12-04T09:04:31.0052812Z + [[ linux-jammy-py3.10-clang18-asan != *s390x* ]]
2025-12-04T09:04:31.0053173Z + [[ -d /var/lib/jenkins/workspace ]]
2025-12-04T09:04:31.0055007Z ++ stat -c %u /var/lib/jenkins/workspace
2025-12-04T09:04:31.0535505Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-12-04T09:04:31.0535880Z + trap_add cleanup_workspace EXIT
2025-12-04T09:04:31.0536190Z + trap_add_cmd=cleanup_workspace
2025-12-04T09:04:31.0536476Z + shift
2025-12-04T09:04:31.0536698Z + for trap_add_name in "$@"
2025-12-04T09:04:31.0542128Z +++ trap -p EXIT
2025-12-04T09:04:31.0544380Z ++ eval 'extract_trap_cmd trap -- '\''
2025-12-04T09:04:31.0544819Z sccache_epilogue'\'' EXIT'
2025-12-04T09:04:31.0545094Z +++ extract_trap_cmd trap -- '
2025-12-04T09:04:31.0545379Z sccache_epilogue' EXIT
2025-12-04T09:04:31.0545629Z +++ printf '%s\n' '
2025-12-04T09:04:31.0545962Z sccache_epilogue'
2025-12-04T09:04:31.0546271Z ++ printf '%s\n' cleanup_workspace
2025-12-04T09:04:31.0546599Z + trap -- '
2025-12-04T09:04:31.0546811Z sccache_epilogue
2025-12-04T09:04:31.0547036Z cleanup_workspace' EXIT
2025-12-04T09:04:31.0547341Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-12-04T09:04:31.8315744Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-12-04T09:04:32.0267925Z + [[ linux-jammy-py3.10-clang18-asan == *cuda* ]]
2025-12-04T09:04:32.0268361Z + echo 'Environment variables:'
2025-12-04T09:04:32.0268647Z Environment variables:
2025-12-04T09:04:32.0268891Z + env
2025-12-04T09:04:32.0377669Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:04:32.0378168Z CONTINUE_THROUGH_ERROR=True
2025-12-04T09:04:32.0378556Z BUILD_ENVIRONMENT=linux-jammy-py3.10-clang18-asan
2025-12-04T09:04:32.0379156Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-12-04T09:04:32.0379458Z HOSTNAME=fc93fae4c0cc
2025-12-04T09:04:32.0380058Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_644d9d24-891f-4743-a4b9-a45aefd6f0e1
2025-12-04T09:04:32.0380696Z GITHUB_ACTION=__run_3
2025-12-04T09:04:32.0380968Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-12-04T09:04:32.0381275Z GITHUB_RUN_NUMBER=21325
2025-12-04T09:04:32.0381514Z TEST_CONFIG=slow
2025-12-04T09:04:32.0381762Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-12-04T09:04:32.0382145Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-12-04T09:04:32.0382614Z SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:04:32.0383104Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-12-04T09:04:32.0383406Z GITHUB_TRIGGERING_ACTOR=huydhn
2025-12-04T09:04:32.0383697Z GITHUB_REF_TYPE=branch
2025-12-04T09:04:32.0383984Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:04:32.0384328Z XLA_CUDA=
2025-12-04T09:04:32.0384555Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-12-04T09:04:32.0384947Z HUGGING_FACE_HUB_TOKEN=***
2025-12-04T09:04:32.0385385Z ***
2025-12-04T09:04:32.0385599Z GITHUB_REPOSITORY_ID=65600975
2025-12-04T09:04:32.0385879Z GITHUB_ACTIONS=true
2025-12-04T09:04:32.0386164Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:04:32.0386565Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:04:32.0386956Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:04:32.0387465Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/slow.yml@refs/heads/main
2025-12-04T09:04:32.0387934Z UCC_HOME=/usr
2025-12-04T09:04:32.0388160Z VERBOSE_TEST_LOGS=False
2025-12-04T09:04:32.0388407Z GITHUB_REF=refs/heads/main
2025-12-04T09:04:32.0388666Z SHARD_NUMBER=1
2025-12-04T09:04:32.0388895Z GITHUB_REF_PROTECTED=true
2025-12-04T09:04:32.0389149Z HOME=/var/lib/jenkins
2025-12-04T09:04:32.0389428Z GITHUB_API_URL=https://api.github.com
2025-12-04T09:04:32.0389760Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1
2025-12-04T09:04:32.0390055Z UCX_COMMIT=
2025-12-04T09:04:32.0390257Z USE_SYSTEM_NCCL=1
2025-12-04T09:04:32.0390496Z NUM_TEST_SHARDS=3
2025-12-04T09:04:32.0390727Z UCX_HOME=/usr
2025-12-04T09:04:32.0391299Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_644d9d24-891f-4743-a4b9-a45aefd6f0e1
2025-12-04T09:04:32.0392244Z JOB_NAME=linux-jammy-py3.10-clang18-asan / test (slow, 1, 3, lf.linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:04:32.0393121Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_644d9d24-891f-4743-a4b9-a45aefd6f0e1
2025-12-04T09:04:32.0393966Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-12-04T09:04:32.0394471Z GITHUB_EVENT_NAME=schedule
2025-12-04T09:04:32.0394736Z DASHBOARD_TAG=
2025-12-04T09:04:32.0394968Z GITHUB_RUN_ID=19922773007
2025-12-04T09:04:32.0395221Z INSTALLED_OPENBLAS=
2025-12-04T09:04:32.0395856Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_644d9d24-891f-4743-a4b9-a45aefd6f0e1
2025-12-04T09:04:32.0396714Z GITHUB_ACTOR=huydhn
2025-12-04T09:04:32.0396937Z PR_NUMBER=
2025-12-04T09:04:32.0397149Z DESIRED_CUDA=
2025-12-04T09:04:32.0397378Z GITHUB_RUN_ATTEMPT=1
2025-12-04T09:04:32.0397643Z ANACONDA_PYTHON_VERSION=3.10
2025-12-04T09:04:32.0397975Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-12-04T09:04:32.0398338Z TERM=vt100
2025-12-04T09:04:32.0398559Z INSTALLED_VISION=yes
2025-12-04T09:04:32.0398785Z BRANCH=main
2025-12-04T09:04:32.0399004Z SCCACHE_REGION=us-east-1
2025-12-04T09:04:32.0399275Z OPENSSL_ROOT_DIR=/opt/openssl
2025-12-04T09:04:32.0399552Z BUILD_AOT_INDUCTOR_TEST=
2025-12-04T09:04:32.0399817Z CUDA_PATH=/usr/local/cuda
2025-12-04T09:04:32.0400347Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-12-04T09:04:32.0401086Z GITHUB_SERVER_URL=https://github.com
2025-12-04T09:04:32.0401390Z UCC_COMMIT=
2025-12-04T09:04:32.0401611Z REENABLED_ISSUES=
2025-12-04T09:04:32.0401824Z DOCS=
2025-12-04T09:04:32.0402022Z SHLVL=1
2025-12-04T09:04:32.0402222Z MAX_JOBS=14
2025-12-04T09:04:32.0402428Z GITHUB_ACTOR_ID=475357
2025-12-04T09:04:32.0402770Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:04:32.0403171Z GITHUB_REF_NAME=main
2025-12-04T09:04:32.0403539Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-12-04T09:04:32.0403977Z GITHUB_JOB=test
2025-12-04T09:04:32.0404211Z NO_TEST_TIMEOUT=False
2025-12-04T09:04:32.0404463Z TD_DISTRIBUTED=False
2025-12-04T09:04:32.0404712Z GITHUB_REPOSITORY=pytorch/pytorch
2025-12-04T09:04:32.0405015Z GITHUB_RETENTION_DAYS=90
2025-12-04T09:04:32.0405373Z OPENSSL_DIR=/opt/openssl
2025-12-04T09:04:32.0405629Z GITHUB_ACTION_REPOSITORY=
2025-12-04T09:04:32.0406442Z 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
2025-12-04T09:04:32.0407381Z GITHUB_BASE_REF=
2025-12-04T09:04:32.0407595Z INSTALLED_ACL=
2025-12-04T09:04:32.0407937Z ARTIFACTS_FILE_SUFFIX=test-slow-1-3-lf.linux.4xlarge_57116443104
2025-12-04T09:04:32.0421097Z CI=true
2025-12-04T09:04:32.0421437Z GITHUB_REPOSITORY_OWNER=pytorch
2025-12-04T09:04:32.0421803Z RUST_LOG=sccache::server=error
2025-12-04T09:04:32.0422078Z JOB_ID=57116443104
2025-12-04T09:04:32.0422316Z GITHUB_HEAD_REF=
2025-12-04T09:04:32.0422552Z GITHUB_ACTION_REF=
2025-12-04T09:04:32.0422838Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-12-04T09:04:32.0423201Z TEST_SHOWLOCALS=False
2025-12-04T09:04:32.0423462Z GITHUB_WORKFLOW=slow
2025-12-04T09:04:32.0423712Z DEBIAN_FRONTEND=noninteractive
2025-12-04T09:04:32.0424377Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_644d9d24-891f-4743-a4b9-a45aefd6f0e1
2025-12-04T09:04:32.0425045Z NO_TD=False
2025-12-04T09:04:32.0425291Z SKIP_SCCACHE_INITIALIZATION=1
2025-12-04T09:04:32.0425593Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-12-04T09:04:32.0425912Z _=/usr/bin/env
2025-12-04T09:04:32.0426236Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-12-04T09:04:32.0654825Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-12-04T09:04:32.0655504Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T09:04:32.0656158Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-12-04T09:04:32.0656839Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-12-04T09:04:32.0657352Z + BUILD_DIR=build
2025-12-04T09:04:32.0657608Z + BUILD_RENAMED_DIR=build_renamed
2025-12-04T09:04:32.0657976Z + BUILD_BIN_DIR=build/bin
2025-12-04T09:04:32.0658225Z + SHARD_NUMBER=1
2025-12-04T09:04:32.0658451Z + NUM_TEST_SHARDS=3
2025-12-04T09:04:32.0658770Z + export TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:04:32.0659087Z + TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:04:32.0659420Z + export VALGRIND=ON
2025-12-04T09:04:32.0659663Z + VALGRIND=ON
2025-12-04T09:04:32.0659928Z + [[ linux-jammy-py3.10-clang18-asan == *clang9* ]]
2025-12-04T09:04:32.0660386Z + [[ linux-jammy-py3.10-clang18-asan == *xpu* ]]
2025-12-04T09:04:32.0660727Z + detect_cuda_arch
2025-12-04T09:04:32.0661044Z + [[ linux-jammy-py3.10-clang18-asan == *cuda* ]]
2025-12-04T09:04:32.0661433Z + [[ linux-jammy-py3.10-clang18-asan == *s390x* ]]
2025-12-04T09:04:32.0661819Z + [[ 1 == \1 ]]
2025-12-04T09:04:32.0662043Z + ulimit -c 0
2025-12-04T09:04:32.0662297Z + [[ linux-jammy-py3.10-clang18-asan != *bazel* ]]
2025-12-04T09:04:32.0662729Z ++ realpath build/custom_test_artifacts
2025-12-04T09:04:32.0745654Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-12-04T09:04:32.0746164Z + [[ -n '' ]]
2025-12-04T09:04:32.0746405Z + echo 'Environment variables'
2025-12-04T09:04:32.0746696Z Environment variables
2025-12-04T09:04:32.0747104Z + env
2025-12-04T09:04:32.0752233Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:04:32.0752962Z CONTINUE_THROUGH_ERROR=True
2025-12-04T09:04:32.0753566Z BUILD_ENVIRONMENT=linux-jammy-py3.10-clang18-asan
2025-12-04T09:04:32.0754243Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-12-04T09:04:32.0754588Z HOSTNAME=fc93fae4c0cc
2025-12-04T09:04:32.0755293Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_644d9d24-891f-4743-a4b9-a45aefd6f0e1
2025-12-04T09:04:32.0755946Z GITHUB_ACTION=__run_3
2025-12-04T09:04:32.0756207Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-12-04T09:04:32.0756541Z GITHUB_RUN_NUMBER=21325
2025-12-04T09:04:32.0756783Z TEST_CONFIG=slow
2025-12-04T09:04:32.0757023Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-12-04T09:04:32.0757476Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-12-04T09:04:32.0757794Z SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:04:32.0758200Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-12-04T09:04:32.0758491Z GITHUB_TRIGGERING_ACTOR=huydhn
2025-12-04T09:04:32.0758767Z GITHUB_REF_TYPE=branch
2025-12-04T09:04:32.0759064Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:04:32.0759387Z XLA_CUDA=
2025-12-04T09:04:32.0759786Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-12-04T09:04:32.0760264Z HUGGING_FACE_HUB_TOKEN=***
2025-12-04T09:04:32.0760565Z ***
2025-12-04T09:04:32.0760765Z GITHUB_REPOSITORY_ID=65600975
2025-12-04T09:04:32.0761046Z GITHUB_ACTIONS=true
2025-12-04T09:04:32.0761344Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:04:32.0761730Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:04:32.0762112Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:04:32.0762636Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/slow.yml@refs/heads/main
2025-12-04T09:04:32.0763107Z UCC_HOME=/usr
2025-12-04T09:04:32.0763329Z TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:04:32.0763611Z VERBOSE_TEST_LOGS=False
2025-12-04T09:04:32.0763873Z GITHUB_REF=refs/heads/main
2025-12-04T09:04:32.0764127Z SHARD_NUMBER=1
2025-12-04T09:04:32.0764361Z GITHUB_REF_PROTECTED=true
2025-12-04T09:04:32.0764626Z HOME=/var/lib/jenkins
2025-12-04T09:04:32.0764887Z GITHUB_API_URL=https://api.github.com
2025-12-04T09:04:32.0765220Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1
2025-12-04T09:04:32.0765512Z UCX_COMMIT=
2025-12-04T09:04:32.0765711Z USE_SYSTEM_NCCL=1
2025-12-04T09:04:32.0765940Z NUM_TEST_SHARDS=3
2025-12-04T09:04:32.0766163Z UCX_HOME=/usr
2025-12-04T09:04:32.0766733Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_644d9d24-891f-4743-a4b9-a45aefd6f0e1
2025-12-04T09:04:32.0767715Z JOB_NAME=linux-jammy-py3.10-clang18-asan / test (slow, 1, 3, lf.linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:04:32.0768605Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_644d9d24-891f-4743-a4b9-a45aefd6f0e1
2025-12-04T09:04:32.0769447Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-12-04T09:04:32.0769959Z GITHUB_EVENT_NAME=schedule
2025-12-04T09:04:32.0770230Z DASHBOARD_TAG=
2025-12-04T09:04:32.0770461Z GITHUB_RUN_ID=19922773007
2025-12-04T09:04:32.0770710Z INSTALLED_OPENBLAS=
2025-12-04T09:04:32.0771346Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_644d9d24-891f-4743-a4b9-a45aefd6f0e1
2025-12-04T09:04:32.0772038Z GITHUB_ACTOR=huydhn
2025-12-04T09:04:32.0772253Z PR_NUMBER=
2025-12-04T09:04:32.0772462Z DESIRED_CUDA=
2025-12-04T09:04:32.0772684Z GITHUB_RUN_ATTEMPT=1
2025-12-04T09:04:32.0772908Z VALGRIND=ON
2025-12-04T09:04:32.0773133Z ANACONDA_PYTHON_VERSION=3.10
2025-12-04T09:04:32.0773470Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-12-04T09:04:32.0773823Z TERM=vt100
2025-12-04T09:04:32.0774024Z INSTALLED_VISION=yes
2025-12-04T09:04:32.0774267Z BRANCH=main
2025-12-04T09:04:32.0774489Z SCCACHE_REGION=us-east-1
2025-12-04T09:04:32.0774752Z OPENSSL_ROOT_DIR=/opt/openssl
2025-12-04T09:04:32.0775039Z BUILD_AOT_INDUCTOR_TEST=
2025-12-04T09:04:32.0775396Z CUDA_PATH=/usr/local/cuda
2025-12-04T09:04:32.0775916Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-12-04T09:04:32.0776518Z GITHUB_SERVER_URL=https://github.com
2025-12-04T09:04:32.0776825Z UCC_COMMIT=
2025-12-04T09:04:32.0777023Z REENABLED_ISSUES=
2025-12-04T09:04:32.0777246Z DOCS=
2025-12-04T09:04:32.0777439Z SHLVL=1
2025-12-04T09:04:32.0777625Z MAX_JOBS=14
2025-12-04T09:04:32.0777838Z GITHUB_ACTOR_ID=475357
2025-12-04T09:04:32.0778182Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:04:32.0778569Z GITHUB_REF_NAME=main
2025-12-04T09:04:32.0778950Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-12-04T09:04:32.0779383Z GITHUB_JOB=test
2025-12-04T09:04:32.0779614Z NO_TEST_TIMEOUT=False
2025-12-04T09:04:32.0779922Z TD_DISTRIBUTED=False
2025-12-04T09:04:32.0780188Z GITHUB_REPOSITORY=pytorch/pytorch
2025-12-04T09:04:32.0780493Z GITHUB_RETENTION_DAYS=90
2025-12-04T09:04:32.0780750Z OPENSSL_DIR=/opt/openssl
2025-12-04T09:04:32.0781019Z GITHUB_ACTION_REPOSITORY=
2025-12-04T09:04:32.0781826Z 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
2025-12-04T09:04:32.0782652Z GITHUB_BASE_REF=
2025-12-04T09:04:32.0782887Z INSTALLED_ACL=
2025-12-04T09:04:32.0783227Z ARTIFACTS_FILE_SUFFIX=test-slow-1-3-lf.linux.4xlarge_57116443104
2025-12-04T09:04:32.0783622Z CI=true
2025-12-04T09:04:32.0783839Z GITHUB_REPOSITORY_OWNER=pytorch
2025-12-04T09:04:32.0784151Z RUST_LOG=sccache::server=error
2025-12-04T09:04:32.0784413Z JOB_ID=57116443104
2025-12-04T09:04:32.0784640Z GITHUB_HEAD_REF=
2025-12-04T09:04:32.0784868Z GITHUB_ACTION_REF=
2025-12-04T09:04:32.0785158Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-12-04T09:04:32.0785510Z TEST_SHOWLOCALS=False
2025-12-04T09:04:32.0785764Z GITHUB_WORKFLOW=slow
2025-12-04T09:04:32.0786024Z DEBIAN_FRONTEND=noninteractive
2025-12-04T09:04:32.0786664Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_644d9d24-891f-4743-a4b9-a45aefd6f0e1
2025-12-04T09:04:32.0787320Z NO_TD=False
2025-12-04T09:04:32.0787555Z SKIP_SCCACHE_INITIALIZATION=1
2025-12-04T09:04:32.0787852Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-12-04T09:04:32.0788165Z _=/usr/bin/env
2025-12-04T09:04:32.0788394Z + echo 'Testing pytorch'
2025-12-04T09:04:32.0788639Z Testing pytorch
2025-12-04T09:04:32.0788878Z + export LANG=C.UTF-8
2025-12-04T09:04:32.0789123Z + LANG=C.UTF-8
2025-12-04T09:04:32.1187832Z + PR_NUMBER=
2025-12-04T09:04:32.1188164Z + [[ slow == \d\e\f\a\u\l\t ]]
2025-12-04T09:04:32.1188468Z + [[ slow == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-12-04T09:04:32.1188768Z + [[ slow == \s\l\o\w ]]
2025-12-04T09:04:32.1189154Z + export PYTORCH_TEST_WITH_SLOW=1
2025-12-04T09:04:32.1189542Z + PYTORCH_TEST_WITH_SLOW=1
2025-12-04T09:04:32.1189870Z + export PYTORCH_TEST_SKIP_FAST=1
2025-12-04T09:04:32.1190161Z + PYTORCH_TEST_SKIP_FAST=1
2025-12-04T09:04:32.1190539Z + [[ linux-jammy-py3.10-clang18-asan == *slow-gradcheck* ]]
2025-12-04T09:04:32.1191017Z + [[ linux-jammy-py3.10-clang18-asan == *cuda* ]]
2025-12-04T09:04:32.1191443Z + [[ linux-jammy-py3.10-clang18-asan == *rocm* ]]
2025-12-04T09:04:32.1191827Z + [[ linux-jammy-py3.10-clang18-asan == *xpu* ]]
2025-12-04T09:04:32.1192223Z + [[ slow == *crossref* ]]
2025-12-04T09:04:32.1192530Z + [[ linux-jammy-py3.10-clang18-asan == *rocm* ]]
2025-12-04T09:04:32.1192951Z + [[ linux-jammy-py3.10-clang18-asan == *xpu* ]]
2025-12-04T09:04:32.1193346Z + [[ linux-jammy-py3.10-clang18-asan != *-bazel-* ]]
2025-12-04T09:04:32.1193760Z + pip_install ninja==1.10.2
2025-12-04T09:04:32.1194121Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-12-04T09:04:32.1194660Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-12-04T09:04:32.8887247Z Collecting ninja==1.10.2
2025-12-04T09:04:32.9108819Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-12-04T09:04:32.9649420Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-12-04T09:04:33.3981752Z Installing collected packages: ninja
2025-12-04T09:04:33.3982191Z   Attempting uninstall: ninja
2025-12-04T09:04:33.3989472Z     Found existing installation: ninja 1.11.1.4
2025-12-04T09:04:33.4010232Z     Uninstalling ninja-1.11.1.4:
2025-12-04T09:04:33.4127356Z       Successfully uninstalled ninja-1.11.1.4
2025-12-04T09:04:33.4804403Z Successfully installed ninja-1.10.2
2025-12-04T09:04:33.5348577Z + 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
2025-12-04T09:04:33.5350534Z + 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
2025-12-04T09:04:33.5438544Z + [[ linux-jammy-py3.10-clang18-asan == *aarch64* ]]
2025-12-04T09:04:33.5439376Z + [[ linux-jammy-py3.10-clang18-asan == *asan* ]]
2025-12-04T09:04:33.5440574Z + export ASAN_OPTIONS=detect_leaks=0:symbolize=1:detect_stack_use_after_return=true:strict_init_order=true:detect_odr_violation=1:detect_container_overflow=0:check_initialization_order=true:debug=true
2025-12-04T09:04:33.5442169Z + ASAN_OPTIONS=detect_leaks=0:symbolize=1:detect_stack_use_after_return=true:strict_init_order=true:detect_odr_violation=1:detect_container_overflow=0:check_initialization_order=true:debug=true
2025-12-04T09:04:33.5443140Z + [[ linux-jammy-py3.10-clang18-asan == *cuda* ]]
2025-12-04T09:04:33.5443712Z + export UBSAN_OPTIONS=print_stacktrace=1:suppressions=/var/lib/jenkins/workspace/ubsan.supp
2025-12-04T09:04:33.5444442Z + UBSAN_OPTIONS=print_stacktrace=1:suppressions=/var/lib/jenkins/workspace/ubsan.supp
2025-12-04T09:04:33.5444948Z + export PYTORCH_TEST_WITH_ASAN=1
2025-12-04T09:04:33.5445255Z + PYTORCH_TEST_WITH_ASAN=1
2025-12-04T09:04:33.5445542Z + export PYTORCH_TEST_WITH_UBSAN=1
2025-12-04T09:04:33.5445836Z + PYTORCH_TEST_WITH_UBSAN=1
2025-12-04T09:04:33.5446219Z + export ASAN_SYMBOLIZER_PATH=/usr/lib/llvm-18/bin/llvm-symbolizer
2025-12-04T09:04:33.5446714Z + ASAN_SYMBOLIZER_PATH=/usr/lib/llvm-18/bin/llvm-symbolizer
2025-12-04T09:04:33.5447153Z + export TORCH_USE_RTLD_GLOBAL=1
2025-12-04T09:04:33.5447443Z + TORCH_USE_RTLD_GLOBAL=1
2025-12-04T09:04:33.5447781Z ++ clang --print-file-name=libclang_rt.asan-x86_64.so
2025-12-04T09:04:33.7546779Z + LD_PRELOAD=/usr/lib/llvm-18/lib/clang/18/lib/linux/libclang_rt.asan-x86_64.so
2025-12-04T09:04:33.7547297Z + export LD_PRELOAD
2025-12-04T09:04:33.7547530Z + export VALGRIND=OFF
2025-12-04T09:04:33.7547776Z + VALGRIND=OFF
2025-12-04T09:04:33.7548330Z + cd test
2025-12-04T09:04:33.7548831Z + python -c 'import torch; print(torch.__version__, torch.version.git_version)'
2025-12-04T09:04:36.5521361Z 2.10.0a0+gitffd9b0f 35b7a9a26c5923d98aebaa41a031dae21788a9ee
2025-12-04T09:04:36.9752509Z + echo 'The next four invocations are expected to crash; if they don'\''t that means ASAN/UBSAN is misconfigured'
2025-12-04T09:04:36.9753392Z The next four invocations are expected to crash; if they don't that means ASAN/UBSAN is misconfigured
2025-12-04T09:04:36.9753932Z + cd test
2025-12-04T09:04:36.9754769Z + get_exit_code python -c 'import torch; torch._C._crash_if_csrc_asan(3)'
2025-12-04T09:04:36.9755235Z + set +e
2025-12-04T09:04:36.9755530Z + python -c 'import torch; torch._C._crash_if_csrc_asan(3)'
2025-12-04T09:04:39.7794178Z /var/lib/jenkins/workspace/torch/csrc/Module.cpp:262:3: runtime error: index 3 out of bounds for type 'volatile char[3]'
2025-12-04T09:04:40.9242534Z     #0 0x7f8e819daf7d in THPModule_crashIfCsrcASAN(_object*, _object*) /var/lib/jenkins/workspace/torch/csrc/Module.cpp:262:30
2025-12-04T09:04:40.9243561Z     #1 0x55f2a1a10e89 in cfunction_vectorcall_O /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:516:24
2025-12-04T09:04:40.9244500Z     #2 0x55f2a1a06141 in _PyObject_VectorcallTstate /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114:11
2025-12-04T09:04:40.9245711Z     #3 0x55f2a1a06141 in PyObject_Vectorcall /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:123:12
2025-12-04T09:04:40.9246544Z     #4 0x55f2a1a06141 in call_function /usr/local/src/conda/python-3.10.14/Python/ceval.c:5893:13
2025-12-04T09:04:40.9247412Z     #5 0x55f2a1a06141 in _PyEval_EvalFrameDefault /usr/local/src/conda/python-3.10.14/Python/ceval.c:4181:23
2025-12-04T09:04:40.9248293Z     #6 0x55f2a1aa4c5f in _PyEval_EvalFrame /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46:12
2025-12-04T09:04:40.9249140Z     #7 0x55f2a1aa4c5f in _PyEval_Vector /usr/local/src/conda/python-3.10.14/Python/ceval.c:5067:24
2025-12-04T09:04:40.9250065Z     #8 0x55f2a1aa4ba6 in PyEval_EvalCode /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134:12
2025-12-04T09:04:40.9250853Z     #9 0x55f2a1ad5129 in run_eval_code_obj /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291:9
2025-12-04T09:04:40.9251622Z     #10 0x55f2a1ad0522 in run_mod /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312:19
2025-12-04T09:04:40.9252399Z     #11 0x55f2a1ac891c in PyRun_StringFlags /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1183:15
2025-12-04T09:04:40.9253248Z     #12 0x55f2a1ac875b in PyRun_SimpleStringFlags /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:503:9
2025-12-04T09:04:40.9254084Z     #13 0x55f2a1ac766a in pymain_run_command /usr/local/src/conda/python-3.10.14/Modules/main.c:252:11
2025-12-04T09:04:40.9254857Z     #14 0x55f2a1ac766a in pymain_run_python /usr/local/src/conda/python-3.10.14/Modules/main.c:582:21
2025-12-04T09:04:40.9255590Z     #15 0x55f2a1ac766a in Py_RunMain /usr/local/src/conda/python-3.10.14/Modules/main.c:670:5
2025-12-04T09:04:40.9256293Z     #16 0x55f2a1a981f6 in Py_BytesMain /usr/local/src/conda/python-3.10.14/Modules/main.c:1090:12
2025-12-04T09:04:40.9257011Z     #17 0x7f8e87ccdd8f in __libc_start_call_main csu/../sysdeps/nptl/libc_start_call_main.h:58:16
2025-12-04T09:04:40.9257643Z     #18 0x7f8e87ccde3f in __libc_start_main csu/../csu/libc-start.c:392:3
2025-12-04T09:04:40.9258214Z     #19 0x55f2a1a980f0 in _start (/opt/conda/envs/py_3.10/bin/python3.10+0x1cb0f0)
2025-12-04T09:04:40.9258573Z 
2025-12-04T09:04:40.9259016Z SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /var/lib/jenkins/workspace/torch/csrc/Module.cpp:262:3 
2025-12-04T09:04:40.9708789Z + retcode=1
2025-12-04T09:04:40.9709066Z + set -e
2025-12-04T09:04:40.9709328Z + return 1
2025-12-04T09:04:40.9713043Z + cd test
2025-12-04T09:04:40.9713838Z + get_exit_code python -c 'import torch; torch._C._crash_if_vptr_ubsan()'
2025-12-04T09:04:40.9714316Z + set +e
2025-12-04T09:04:40.9714595Z + python -c 'import torch; torch._C._crash_if_vptr_ubsan()'
2025-12-04T09:04:44.1445793Z /var/lib/jenkins/workspace/torch/csrc/Module.cpp:297:16: runtime error: member call on address 0x7f16ad4068a0 which does not point to an object of type 'Foo'
2025-12-04T09:04:44.1449188Z 0x7f16ad4068a0: note: object is of type 'THPModule_crashIfvptrUBSAN(_object*, _object*)::Baz'
2025-12-04T09:04:44.1449918Z  fc 7f 00 00  50 bc 7f ab 16 7f 00 00  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  a2 81 3f ad
2025-12-04T09:04:44.1450422Z               ^~~~~~~~~~~~~~~~~~~~~~~
2025-12-04T09:04:44.1450867Z               vptr for 'THPModule_crashIfvptrUBSAN(_object*, _object*)::Baz'
2025-12-04T09:04:44.3635963Z     #0 0x7f16a93217bf in THPModule_crashIfvptrUBSAN(_object*, _object*) /var/lib/jenkins/workspace/torch/csrc/Module.cpp:297:16
2025-12-04T09:04:44.3637792Z     #1 0x55b3a05143d1 in cfunction_vectorcall_NOARGS /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:489:24
2025-12-04T09:04:44.3639501Z     #2 0x55b3a050b141 in _PyObject_VectorcallTstate /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114:11
2025-12-04T09:04:44.3641189Z     #3 0x55b3a050b141 in PyObject_Vectorcall /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:123:12
2025-12-04T09:04:44.3643002Z     #4 0x55b3a050b141 in call_function /usr/local/src/conda/python-3.10.14/Python/ceval.c:5893:13
2025-12-04T09:04:44.3644392Z     #5 0x55b3a050b141 in _PyEval_EvalFrameDefault /usr/local/src/conda/python-3.10.14/Python/ceval.c:4181:23
2025-12-04T09:04:44.3645990Z     #6 0x55b3a05a9c5f in _PyEval_EvalFrame /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46:12
2025-12-04T09:04:44.3647551Z     #7 0x55b3a05a9c5f in _PyEval_Vector /usr/local/src/conda/python-3.10.14/Python/ceval.c:5067:24
2025-12-04T09:04:44.3648915Z     #8 0x55b3a05a9ba6 in PyEval_EvalCode /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134:12
2025-12-04T09:04:44.3650377Z     #9 0x55b3a05da129 in run_eval_code_obj /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291:9
2025-12-04T09:04:44.3651721Z     #10 0x55b3a05d5522 in run_mod /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312:19
2025-12-04T09:04:44.3653057Z     #11 0x55b3a05cd91c in PyRun_StringFlags /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1183:15
2025-12-04T09:04:44.3654614Z     #12 0x55b3a05cd75b in PyRun_SimpleStringFlags /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:503:9
2025-12-04T09:04:44.3656069Z     #13 0x55b3a05cc66a in pymain_run_command /usr/local/src/conda/python-3.10.14/Modules/main.c:252:11
2025-12-04T09:04:44.3657409Z     #14 0x55b3a05cc66a in pymain_run_python /usr/local/src/conda/python-3.10.14/Modules/main.c:582:21
2025-12-04T09:04:44.3658633Z     #15 0x55b3a05cc66a in Py_RunMain /usr/local/src/conda/python-3.10.14/Modules/main.c:670:5
2025-12-04T09:04:44.3659869Z     #16 0x55b3a059d1f6 in Py_BytesMain /usr/local/src/conda/python-3.10.14/Modules/main.c:1090:12
2025-12-04T09:04:44.3661073Z     #17 0x7f16af676d8f in __libc_start_call_main csu/../sysdeps/nptl/libc_start_call_main.h:58:16
2025-12-04T09:04:44.3662203Z     #18 0x7f16af676e3f in __libc_start_main csu/../csu/libc-start.c:392:3
2025-12-04T09:04:44.3663156Z     #19 0x55b3a059d0f0 in _start (/opt/conda/envs/py_3.10/bin/python3.10+0x1cb0f0)
2025-12-04T09:04:44.3663759Z 
2025-12-04T09:04:44.3664554Z SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /var/lib/jenkins/workspace/torch/csrc/Module.cpp:297:16 
2025-12-04T09:04:44.4062773Z + retcode=1
2025-12-04T09:04:44.4063036Z + set -e
2025-12-04T09:04:44.4063227Z + return 1
2025-12-04T09:04:44.4067369Z + cd test
2025-12-04T09:04:44.4068154Z + get_exit_code python -c 'import torch; torch._C._crash_if_aten_asan(3)'
2025-12-04T09:04:44.4068632Z + set +e
2025-12-04T09:04:44.4068913Z + python -c 'import torch; torch._C._crash_if_aten_asan(3)'
2025-12-04T09:04:47.2047713Z /var/lib/jenkins/workspace/aten/src/ATen/Utils.cpp:15:3: runtime error: index 3 out of bounds for type 'volatile char[3]'
2025-12-04T09:04:49.1264741Z     #0 0x7f45d38252eb in at::_crash_if_asan(int) /var/lib/jenkins/workspace/aten/src/ATen/Utils.cpp:15:10
2025-12-04T09:04:49.1265698Z     #1 0x7f45fa4c0979 in THPModule_crashIfATenASAN(_object*, _object*) /var/lib/jenkins/workspace/torch/csrc/Module.cpp:308:29
2025-12-04T09:04:49.1266681Z     #2 0x55f3f436ce89 in cfunction_vectorcall_O /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:516:24
2025-12-04T09:04:49.1267621Z     #3 0x55f3f4362141 in _PyObject_VectorcallTstate /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114:11
2025-12-04T09:04:49.1268574Z     #4 0x55f3f4362141 in PyObject_Vectorcall /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:123:12
2025-12-04T09:04:49.1269400Z     #5 0x55f3f4362141 in call_function /usr/local/src/conda/python-3.10.14/Python/ceval.c:5893:13
2025-12-04T09:04:49.1270191Z     #6 0x55f3f4362141 in _PyEval_EvalFrameDefault /usr/local/src/conda/python-3.10.14/Python/ceval.c:4181:23
2025-12-04T09:04:49.1271071Z     #7 0x55f3f4400c5f in _PyEval_EvalFrame /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46:12
2025-12-04T09:04:49.1271898Z     #8 0x55f3f4400c5f in _PyEval_Vector /usr/local/src/conda/python-3.10.14/Python/ceval.c:5067:24
2025-12-04T09:04:49.1272887Z     #9 0x55f3f4400ba6 in PyEval_EvalCode /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134:12
2025-12-04T09:04:49.1273664Z     #10 0x55f3f4431129 in run_eval_code_obj /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291:9
2025-12-04T09:04:49.1274415Z     #11 0x55f3f442c522 in run_mod /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312:19
2025-12-04T09:04:49.1275204Z     #12 0x55f3f442491c in PyRun_StringFlags /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1183:15
2025-12-04T09:04:49.1276067Z     #13 0x55f3f442475b in PyRun_SimpleStringFlags /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:503:9
2025-12-04T09:04:49.1276903Z     #14 0x55f3f442366a in pymain_run_command /usr/local/src/conda/python-3.10.14/Modules/main.c:252:11
2025-12-04T09:04:49.1277771Z     #15 0x55f3f442366a in pymain_run_python /usr/local/src/conda/python-3.10.14/Modules/main.c:582:21
2025-12-04T09:04:49.1278502Z     #16 0x55f3f442366a in Py_RunMain /usr/local/src/conda/python-3.10.14/Modules/main.c:670:5
2025-12-04T09:04:49.1279216Z     #17 0x55f3f43f41f6 in Py_BytesMain /usr/local/src/conda/python-3.10.14/Modules/main.c:1090:12
2025-12-04T09:04:49.1279937Z     #18 0x7f46007bdd8f in __libc_start_call_main csu/../sysdeps/nptl/libc_start_call_main.h:58:16
2025-12-04T09:04:49.1280553Z     #19 0x7f46007bde3f in __libc_start_main csu/../csu/libc-start.c:392:3
2025-12-04T09:04:49.1281125Z     #20 0x55f3f43f40f0 in _start (/opt/conda/envs/py_3.10/bin/python3.10+0x1cb0f0)
2025-12-04T09:04:49.1281485Z 
2025-12-04T09:04:49.1281948Z SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /var/lib/jenkins/workspace/aten/src/ATen/Utils.cpp:15:3 
2025-12-04T09:04:49.1678110Z + retcode=1
2025-12-04T09:04:49.1678356Z + set -e
2025-12-04T09:04:49.1678561Z + return 1
2025-12-04T09:04:49.1681043Z + [[ linux-jammy-py3.10-clang18-asan == *-debug* ]]
2025-12-04T09:04:49.1681761Z + [[ linux-jammy-py3.10-clang18-asan != *-bazel-* ]]
2025-12-04T09:04:49.1682331Z + echo 'We are not in debug mode: linux-jammy-py3.10-clang18-asan. Expect the assertion to pass'
2025-12-04T09:04:49.1683040Z We are not in debug mode: linux-jammy-py3.10-clang18-asan. Expect the assertion to pass
2025-12-04T09:04:49.1683887Z + cd test
2025-12-04T09:04:49.1684308Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-12-04T09:04:52.3846043Z + [[ slow == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-12-04T09:04:52.3846466Z + [[ slow == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-12-04T09:04:52.3846824Z + [[ slow == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-12-04T09:04:52.3851119Z + DYNAMO_BENCHMARK_FLAGS=()
2025-12-04T09:04:52.3851526Z + [[ slow == *pr_time_benchmarks* ]]
2025-12-04T09:04:52.3851882Z + [[ slow == *dynamo_eager* ]]
2025-12-04T09:04:52.3852168Z + [[ slow == *aot_eager* ]]
2025-12-04T09:04:52.3852465Z + [[ slow == *aot_inductor* ]]
2025-12-04T09:04:52.3852744Z + [[ slow == *max_autotune_inductor* ]]
2025-12-04T09:04:52.3853059Z + [[ slow == *inductor* ]]
2025-12-04T09:04:52.3853338Z + [[ slow == *dynamic* ]]
2025-12-04T09:04:52.3853580Z + [[ slow == *cpu* ]]
2025-12-04T09:04:52.3853820Z + [[ slow == *xpu* ]]
2025-12-04T09:04:52.3854106Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
2025-12-04T09:04:52.3877290Z + [[ linux-jammy-py3.10-clang18-asan == *libtorch* ]]
2025-12-04T09:04:52.3877718Z + [[ linux-jammy-py3.10-clang18-asan == *-bazel-* ]]
2025-12-04T09:04:52.3880185Z + cd test
2025-12-04T09:04:52.3880788Z + python -c 'import torch; print(torch.__config__.show())'
2025-12-04T09:04:55.1894750Z PyTorch built with:
2025-12-04T09:04:55.1895034Z   - GCC 4.2
2025-12-04T09:04:55.1895259Z   - C++ Version: 201703
2025-12-04T09:04:55.1895515Z   - clang 18.1.8
2025-12-04T09:04:55.1896067Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-12-04T09:04:55.1896962Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-12-04T09:04:55.1897404Z   - OpenMP 202011
2025-12-04T09:04:55.1897685Z   - LAPACK is enabled (usually provided by MKL)
2025-12-04T09:04:55.1898332Z   - NNPACK is enabled
2025-12-04T09:04:55.1898605Z   - CPU capability usage: AVX512
2025-12-04T09:04:55.1904333Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=RelWithDebInfo, COMMIT_SHA=35b7a9a26c5923d98aebaa41a031dae21788a9ee, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wsuggest-override -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=old-style-cast -Wconstant-conversion -Qunused-arguments -faligned-new -Werror -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 
2025-12-04T09:04:55.1910078Z 
2025-12-04T09:04:55.6175167Z + cd test
2025-12-04T09:04:55.6175564Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-12-04T09:04:58.3822354Z ATen/Parallel:
2025-12-04T09:04:58.3822668Z 	at::get_num_threads() : 8
2025-12-04T09:04:58.3822972Z 	at::get_num_interop_threads() : 8
2025-12-04T09:04:58.3823258Z OpenMP 202011
2025-12-04T09:04:58.3823513Z 	omp_get_max_threads() : 8
2025-12-04T09:04:58.3824096Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-12-04T09:04:58.3824720Z 	mkl_get_max_threads() : 8
2025-12-04T09:04:58.3825112Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-12-04T09:04:58.3825575Z std::thread::hardware_concurrency() : 16
2025-12-04T09:04:58.3825902Z Environment variables:
2025-12-04T09:04:58.3826149Z 	OMP_NUM_THREADS : [not set]
2025-12-04T09:04:58.3826446Z 	MKL_NUM_THREADS : [not set]
2025-12-04T09:04:58.3826719Z ATen parallel backend: OpenMP
2025-12-04T09:04:58.3826922Z 
2025-12-04T09:04:58.8173014Z + [[ slow == *numpy_2* ]]
2025-12-04T09:04:58.8173474Z + [[ linux-jammy-py3.10-clang18-asan == *aarch64* ]]
2025-12-04T09:04:58.8173910Z + [[ slow == *backward* ]]
2025-12-04T09:04:58.8174202Z + [[ slow == *libtorch_agnostic_targetting* ]]
2025-12-04T09:04:58.8174561Z + [[ slow == *xla* ]]
2025-12-04T09:04:58.8174805Z + [[ slow == *vllm* ]]
2025-12-04T09:04:58.8175067Z + [[ slow == *executorch* ]]
2025-12-04T09:04:58.8175358Z + [[ slow == \j\i\t\_\l\e\g\a\c\y ]]
2025-12-04T09:04:58.8175668Z + [[ slow == \q\u\a\n\t\i\z\a\t\i\o\n ]]
2025-12-04T09:04:58.8176045Z + [[ linux-jammy-py3.10-clang18-asan == *libtorch* ]]
2025-12-04T09:04:58.8176401Z + [[ slow == distributed ]]
2025-12-04T09:04:58.8176682Z + [[ slow == *operator_benchmark* ]]
2025-12-04T09:04:58.8177006Z + [[ slow == *operator_microbenchmark* ]]
2025-12-04T09:04:58.8177333Z + [[ slow == *attention_microbenchmark* ]]
2025-12-04T09:04:58.8177663Z + [[ slow == *inductor_distributed* ]]
2025-12-04T09:04:58.8177980Z + [[ slow == *inductor-halide* ]]
2025-12-04T09:04:58.8178274Z + [[ slow == *inductor-pallas* ]]
2025-12-04T09:04:58.8178583Z + [[ slow == *inductor-triton-cpu* ]]
2025-12-04T09:04:58.8178914Z + [[ slow == *inductor-micro-benchmark* ]]
2025-12-04T09:04:58.8179252Z + [[ slow == *aoti_cross_compile_for_windows* ]]
2025-12-04T09:04:58.8179588Z + [[ slow == *huggingface* ]]
2025-12-04T09:04:58.8179866Z + [[ slow == *timm* ]]
2025-12-04T09:04:58.8180102Z + [[ slow == cachebench ]]
2025-12-04T09:04:58.8180372Z + [[ slow == verify_cachebench ]]
2025-12-04T09:04:58.8180931Z + [[ slow == *torchbench* ]]
2025-12-04T09:04:58.8181220Z + [[ slow == *inductor_cpp_wrapper* ]]
2025-12-04T09:04:58.8181520Z + [[ slow == *inductor_core* ]]
2025-12-04T09:04:58.8181801Z + [[ slow == *inductor* ]]
2025-12-04T09:04:58.8182065Z + [[ slow == *einops* ]]
2025-12-04T09:04:58.8182315Z + [[ slow == *dynamo_core* ]]
2025-12-04T09:04:58.8182593Z + [[ slow == *dynamo_wrapped* ]]
2025-12-04T09:04:58.8182924Z + [[ linux-jammy-py3.10-clang18-asan == *rocm* ]]
2025-12-04T09:04:58.8183246Z + [[ 1 == 1 ]]
2025-12-04T09:04:58.8183475Z + [[ 3 -gt 1 ]]
2025-12-04T09:04:58.8183731Z + test_lazy_tensor_meta_reference_disabled
2025-12-04T09:04:58.8184122Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
2025-12-04T09:04:58.8184555Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
2025-12-04T09:04:58.8185107Z + echo 'Testing lazy tensor operations without meta reference'
2025-12-04T09:04:58.8185573Z Testing lazy tensor operations without meta reference
2025-12-04T09:04:58.8186049Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose
2025-12-04T09:05:05.7833727Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T09:05:05.8395100Z Ignoring disabled issues:  ['']
2025-12-04T09:05:05.8526295Z Found test times from artifacts
2025-12-04T09:05:05.9027448Z Found test times from artifacts
2025-12-04T09:05:05.9042195Z Running all tests
2025-12-04T09:05:05.9045011Z Running parallel tests on 3 processes
2025-12-04T09:05:05.9045659Z Name: tests to run (est. time: 0.01min)
2025-12-04T09:05:05.9045992Z   Serial tests (0):
2025-12-04T09:05:05.9046243Z   Parallel tests (1):
2025-12-04T09:05:05.9046501Z     lazy/test_ts_opinfo 1/1
2025-12-04T09:05:05.9046773Z Name: excluded (est. time: 0.0min)
2025-12-04T09:05:05.9047248Z   Serial tests (0):
2025-12-04T09:05:05.9047498Z   Parallel tests (0):
2025-12-04T09:05:05.9047905Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:05:05.904655][589.404996628]
2025-12-04T09:05:05.9048397Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:05:05.9052732Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:05:05.905054]
2025-12-04T09:05:12.4277108Z 
2025-12-04T09:05:12.4278135Z 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_33307b1018206f8e_.log
2025-12-04T09:05:12.4278929Z Running 0 items in this shard:
2025-12-04T09:05:12.4279137Z 
2025-12-04T09:05:12.4279407Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:05:12.427728][595.928065055], took 0.11min
2025-12-04T09:05:12.4285754Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-49b38070bf14ffcf.xml
2025-12-04T09:05:12.7716788Z Uploading artifacts took 0.12 seconds
2025-12-04T09:05:17.5440152Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:05:17.543651][601.043986337]
2025-12-04T09:05:17.5440671Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:05:17.5443825Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:05:17.544144]
2025-12-04T09:05:24.0670791Z 
2025-12-04T09:05:24.0671951Z 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_4718f9503b04c8b5_.log
2025-12-04T09:05:24.0672785Z Running 0 items in this shard:
2025-12-04T09:05:24.0672990Z 
2025-12-04T09:05:24.0673263Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:05:24.067066][607.56740366], took 0.11min
2025-12-04T09:05:24.0685304Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-4fae5b7c479c6443.xml
2025-12-04T09:05:25.1083038Z Running test batch 'tests to run' cost 19.2 seconds
2025-12-04T09:05:25.9474377Z 
2025-12-04T09:05:25.9474771Z real	0m27.130s
2025-12-04T09:05:25.9475049Z user	0m35.041s
2025-12-04T09:05:25.9475258Z sys	0m8.498s
2025-12-04T09:05:25.9475593Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE
2025-12-04T09:05:25.9475991Z + test_without_numpy
2025-12-04T09:05:25.9484548Z ++ dirname .ci/pytorch/test.sh
2025-12-04T09:05:25.9539354Z + pushd .ci/pytorch
2025-12-04T09:05:25.9539673Z ~/workspace/.ci/pytorch ~/workspace
2025-12-04T09:05:25.9540863Z + 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())'
2025-12-04T09:05:27.9645764Z /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.)
2025-12-04T09:05:27.9647546Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-12-04T09:05:29.3077823Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))'
2025-12-04T09:05:31.1007726Z /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.)
2025-12-04T09:05:31.1009251Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-12-04T09:05:32.0734096Z tensor([0., 1.])
2025-12-04T09:05:32.4872541Z + [[ slow == *dynamo_wrapped* ]]
2025-12-04T09:05:32.4873143Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx'
2025-12-04T09:05:34.2815026Z /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.)
2025-12-04T09:05:34.2816611Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-12-04T09:05:35.6299712Z + popd
2025-12-04T09:05:35.6299974Z ~/workspace
2025-12-04T09:05:35.6300186Z + install_torchvision
2025-12-04T09:05:35.6300455Z + local orig_preload
2025-12-04T09:05:35.6300700Z + local commit
2025-12-04T09:05:35.6302601Z ++ get_pinned_commit vision
2025-12-04T09:05:35.6302923Z ++ cat .github/ci_commit_pins/vision.txt
2025-12-04T09:05:35.6371684Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:05:35.6372231Z + orig_preload=/usr/lib/llvm-18/lib/clang/18/lib/linux/libclang_rt.asan-x86_64.so
2025-12-04T09:05:35.6372881Z + '[' -n /usr/lib/llvm-18/lib/clang/18/lib/linux/libclang_rt.asan-x86_64.so ']'
2025-12-04T09:05:35.6374795Z + echo 'char* dlerror(void) { return "";}'
2025-12-04T09:05:35.6376240Z + gcc -fpic -shared -o /var/lib/jenkins/dlerror.so -x c -
2025-12-04T09:05:35.8749453Z + LD_PRELOAD=/usr/lib/llvm-18/lib/clang/18/lib/linux/libclang_rt.asan-x86_64.so:/var/lib/jenkins/dlerror.so
2025-12-04T09:05:35.8750191Z + [[ linux-jammy-py3.10-clang18-asan == *cuda* ]]
2025-12-04T09:05:35.8750953Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision
2025-12-04T09:05:35.8751936Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:05:35.8752605Z + local wheel_dir=dist/vision
2025-12-04T09:05:35.8752891Z + local found_whl=0
2025-12-04T09:05:35.8753132Z + for file in "${wheel_dir}"/*.whl
2025-12-04T09:05:35.8753501Z + [[ -f dist/vision/*.whl ]]
2025-12-04T09:05:35.8754011Z + '[' 0 == 0 ']'
2025-12-04T09:05:35.8754748Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:05:36.2913725Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:05:36.2918760Z   Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-ecskbjnl
2025-12-04T09:05:36.2977444Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-ecskbjnl
2025-12-04T09:05:38.8229532Z   Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e'
2025-12-04T09:05:38.8294512Z   Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:05:39.0516092Z   Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:05:42.6820144Z   Preparing metadata (pyproject.toml) ... [?25l- \ done
2025-12-04T09:05:42.6864892Z [?25hBuilding wheels for collected packages: torchvision
2025-12-04T09:06:42.3366406Z   Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done
2025-12-04T09:06:42.3410247Z [?25h  Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1167644 sha256=297e48572fabd4c4774e7f3466dbe71d64518aee23df761ebd45c18f250f5c94
2025-12-04T09:06:42.3412719Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac
2025-12-04T09:06:42.3459899Z Successfully built torchvision
2025-12-04T09:06:42.4391590Z + for file in "${wheel_dir}"/*.whl
2025-12-04T09:06:42.4392177Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:06:42.4398242Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl')
2025-12-04T09:06:42.4398879Z + local args
2025-12-04T09:06:42.4399436Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-12-04T09:06:42.4399954Z + for path in "${args[@]}"
2025-12-04T09:06:42.4400430Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl'
2025-12-04T09:06:42.4401154Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:06:42.4401974Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:06:42.8719790Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:06:42.8841664Z Installing collected packages: torchvision
2025-12-04T09:06:43.5559542Z Successfully installed torchvision-0.25.0a0+617079d
2025-12-04T09:06:43.6222058Z + '[' -n /usr/lib/llvm-18/lib/clang/18/lib/linux/libclang_rt.asan-x86_64.so:/var/lib/jenkins/dlerror.so ']'
2025-12-04T09:06:43.6222875Z + LD_PRELOAD=/usr/lib/llvm-18/lib/clang/18/lib/linux/libclang_rt.asan-x86_64.so
2025-12-04T09:06:43.6223353Z + test_python_shard 1
2025-12-04T09:06:43.6223610Z + [[ -z 3 ]]
2025-12-04T09:06:43.6224390Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 1 3 --verbose --upload-artifacts-while-running
2025-12-04T09:06:50.8210253Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T09:06:50.8338907Z Found test times from artifacts
2025-12-04T09:06:50.8851036Z Found test times from artifacts
2025-12-04T09:06:50.8869128Z Running all tests
2025-12-04T09:06:50.9408975Z Running parallel tests on 3 processes
2025-12-04T09:06:50.9419091Z Name: tests to run (est. time: 69.48min)
2025-12-04T09:06:50.9419542Z   Serial tests (48):
2025-12-04T09:06:50.9420246Z     dynamo/test_fake_distributed 1/1
2025-12-04T09:06:50.9420648Z     test_ci_sanity_check_fail 1/1
2025-12-04T09:06:50.9421217Z     inductor/test_max_autotune 1/1
2025-12-04T09:06:50.9421603Z     doctests 1/1
2025-12-04T09:06:50.9421840Z     inductor/test_flex_attention 1/1
2025-12-04T09:06:50.9422156Z     inductor/test_cutlass_backend 1/1
2025-12-04T09:06:50.9422478Z     inductor/test_benchmark_fusion 1/1
2025-12-04T09:06:50.9422799Z     inductor/test_distributed_patterns 1/1
2025-12-04T09:06:50.9423124Z     test_sort_and_select 1/1
2025-12-04T09:06:50.9423423Z     test_privateuseone_python_backend 1/1
2025-12-04T09:06:50.9423751Z     test_cpp_api_parity 1/1
2025-12-04T09:06:50.9424018Z     test_extension_utils 1/1
2025-12-04T09:06:50.9424293Z     test_show_pickle 1/1
2025-12-04T09:06:50.9424734Z     test_torch 1/1
2025-12-04T09:06:50.9424962Z     test_tensorexpr 1/1
2025-12-04T09:06:50.9425211Z     test_utils 1/1
2025-12-04T09:06:50.9425460Z     test_namedtuple_return_api 1/1
2025-12-04T09:06:50.9425758Z     test_fake_tensor 1/1
2025-12-04T09:06:50.9426030Z     test_multiprocessing 1/1
2025-12-04T09:06:50.9426301Z     test_fx 1/2
2025-12-04T09:06:50.9426515Z     test_fx 2/2
2025-12-04T09:06:50.9426754Z     test_autograd_fallback 1/1
2025-12-04T09:06:50.9427038Z     test_autocast 1/1
2025-12-04T09:06:50.9427286Z     test_python_dispatch 1/1
2025-12-04T09:06:50.9427569Z     test_jit_disabled 1/1
2025-12-04T09:06:50.9427854Z     test_cpp_extensions_mtia_backend 1/1
2025-12-04T09:06:50.9428191Z     functorch/test_memory_efficient_fusion 1/1
2025-12-04T09:06:50.9428544Z     test_tensor_creation_ops 1/1
2025-12-04T09:06:50.9428863Z     test_cpp_extensions_stream_and_event 1/1
2025-12-04T09:06:50.9429184Z     test_dispatch 1/1
2025-12-04T09:06:50.9429427Z     nn/test_convolution 1/1
2025-12-04T09:06:50.9429710Z     test_cpp_extensions_jit 1/1
2025-12-04T09:06:50.9429984Z     test_nn 1/1
2025-12-04T09:06:50.9430217Z     test_multiprocessing_spawn 1/1
2025-12-04T09:06:50.9430520Z     nn/test_pooling 1/1
2025-12-04T09:06:50.9430779Z     test_cuda_trace 1/1
2025-12-04T09:06:50.9431018Z     test_native_mha 1/1
2025-12-04T09:06:50.9431277Z     test_cuda_nvml_based_avail 1/1
2025-12-04T09:06:50.9431580Z     test_mobile_optimizer 1/1
2025-12-04T09:06:50.9431845Z     test_overrides 1/1
2025-12-04T09:06:50.9432099Z     test_cuda_primary_ctx 1/1
2025-12-04T09:06:50.9432375Z     test_reductions 1/1
2025-12-04T09:06:50.9432621Z     test_spectral_ops 1/1
2025-12-04T09:06:50.9432904Z     distributions/test_distributions 1/1
2025-12-04T09:06:50.9433231Z     test_autoload_disable 1/1
2025-12-04T09:06:50.9433503Z     test_autoload_enable 1/1
2025-12-04T09:06:50.9433797Z     test_cpp_extensions_aot_ninja 1/1
2025-12-04T09:06:50.9434122Z     test_cpp_extensions_aot_no_ninja 1/1
2025-12-04T09:06:50.9434439Z   Parallel tests (83):
2025-12-04T09:06:50.9434755Z     inductor/test_collective_autotuning 1/1
2025-12-04T09:06:50.9435069Z     test_jit_fuser_te 9/14
2025-12-04T09:06:50.9435351Z     inductor/test_torchinductor 2/2
2025-12-04T09:06:50.9435716Z     inductor/test_torchinductor_dynamic_shapes 1/1
2025-12-04T09:06:50.9436135Z     inductor/test_torchinductor_codegen_dynamic_shapes 1/2
2025-12-04T09:06:50.9436599Z     inductor/test_torchinductor_codegen_dynamic_shapes 2/2
2025-12-04T09:06:50.9436991Z     dynamo/test_dynamic_shapes 2/2
2025-12-04T09:06:50.9437285Z     inductor/test_cuda_repro 1/1
2025-12-04T09:06:50.9437577Z     inductor/test_minifier 1/1
2025-12-04T09:06:50.9437868Z     inductor/test_custom_lowering 1/1
2025-12-04T09:06:50.9438179Z     inductor/test_fused_attention 1/1
2025-12-04T09:06:50.9438513Z     dynamo/test_activation_checkpointing 1/1
2025-12-04T09:06:50.9438854Z     inductor/test_binary_folding 1/1
2025-12-04T09:06:50.9439182Z     inductor/test_mkldnn_pattern_matcher 1/2
2025-12-04T09:06:50.9439515Z     inductor/test_layout_optim 1/1
2025-12-04T09:06:50.9439827Z     inductor/test_cpu_cpp_wrapper 3/6
2025-12-04T09:06:50.9440153Z     inductor/test_cpu_cpp_wrapper 5/6
2025-12-04T09:06:50.9440616Z     inductor/test_torchinductor_strided_blocks 1/1
2025-12-04T09:06:50.9440967Z     test_custom_ops 1/1
2025-12-04T09:06:50.9441229Z     test_content_store 1/1
2025-12-04T09:06:50.9441505Z     inductor/test_compile_subprocess 1/2
2025-12-04T09:06:50.9441846Z     inductor/test_compile_subprocess 2/2
2025-12-04T09:06:50.9442175Z     inductor/test_multi_kernel 1/1
2025-12-04T09:06:50.9442476Z     inductor/test_subgraph_choice 1/1
2025-12-04T09:06:50.9442790Z     inductor/test_ck_backend 1/1
2025-12-04T09:06:50.9443089Z     inductor/test_autoheuristic 1/1
2025-12-04T09:06:50.9443389Z     inductor/test_native_matmul 1/1
2025-12-04T09:06:50.9443707Z     inductor/test_selective_lowering 1/1
2025-12-04T09:06:50.9444055Z     inductor/test_move_constructors_to_gpu 1/1
2025-12-04T09:06:50.9444403Z     inductor/test_cudacodecache 1/1
2025-12-04T09:06:50.9444771Z     inductor/test_control_deps 1/1
2025-12-04T09:06:50.9445078Z     inductor/test_best_config 1/1
2025-12-04T09:06:50.9445391Z     inductor/test_split_cat_fx_passes 1/1
2025-12-04T09:06:50.9445712Z     inductor/test_online_softmax 1/1
2025-12-04T09:06:50.9446093Z     inductor/test_dependencies 1/1
2025-12-04T09:06:50.9446508Z     inductor/test_pallas 1/1
2025-12-04T09:06:50.9446794Z     inductor/test_needs_exact_strides 1/1
2025-12-04T09:06:50.9447213Z     inductor/test_fxir_backend 1/1
2025-12-04T09:06:50.9447521Z     dynamo/test_torchrec 1/1
2025-12-04T09:06:50.9447788Z     xpu/test_fusion 1/1
2025-12-04T09:06:50.9448046Z     xpu/test_gemm 1/1
2025-12-04T09:06:50.9448295Z     test_decomp 4/13
2025-12-04T09:06:50.9448528Z     test_decomp 6/13
2025-12-04T09:06:50.9448777Z     test_decomp 7/13
2025-12-04T09:06:50.9449022Z     test_decomp 13/13
2025-12-04T09:06:50.9449282Z     functorch/test_ac 1/1
2025-12-04T09:06:50.9449543Z     test_numpy_interop 1/1
2025-12-04T09:06:50.9449838Z     profiler/test_cpp_thread 1/1
2025-12-04T09:06:50.9450133Z     test_ops_gradients 1/1
2025-12-04T09:06:50.9450456Z     test_hub 1/1
2025-12-04T09:06:50.9450699Z     test_segment_reductions 1/1
2025-12-04T09:06:50.9450989Z     test_type_hints 1/1
2025-12-04T09:06:50.9451272Z     functorch/test_aot_joint_with_descriptors 1/1
2025-12-04T09:06:50.9451625Z     test_nestedtensor 1/1
2025-12-04T09:06:50.9451910Z     distributions/test_constraints 1/1
2025-12-04T09:06:50.9452205Z     test_linalg 1/1
2025-12-04T09:06:50.9452465Z     test_functionalization_of_rng_ops 1/1
2025-12-04T09:06:50.9452796Z     test_fx_reinplace_pass 1/1
2025-12-04T09:06:50.9453076Z     functorch/test_control_flow 1/1
2025-12-04T09:06:50.9453372Z     test_modules 1/1
2025-12-04T09:06:50.9453624Z     nn/test_packed_sequence 1/1
2025-12-04T09:06:50.9453895Z     test_numa_binding 1/1
2025-12-04T09:06:50.9454159Z     test_pruning_op 1/1
2025-12-04T09:06:50.9454405Z     test_logging 1/1
2025-12-04T09:06:50.9454640Z     nn/test_lazy_modules 1/1
2025-12-04T09:06:50.9454916Z     nn/test_pruning 1/1
2025-12-04T09:06:50.9455169Z     test_monitor 1/1
2025-12-04T09:06:50.9455420Z     test_bundled_inputs 1/1
2025-12-04T09:06:50.9455713Z     torch_np/numpy_tests/core/test_numeric 1/1
2025-12-04T09:06:50.9456093Z     torch_np/numpy_tests/core/test_multiarray 1/2
2025-12-04T09:06:50.9456447Z     optim/test_lrscheduler 1/1
2025-12-04T09:06:50.9456724Z     test_scaled_matmul_cuda 1/1
2025-12-04T09:06:50.9457021Z     functorch/test_aotdispatch 4/4
2025-12-04T09:06:50.9457351Z     torch_np/numpy_tests/core/test_dlpack 1/1
2025-12-04T09:06:50.9457672Z     test_scatter_gather_ops 1/1
2025-12-04T09:06:50.9457947Z     test_mkldnn 1/1
2025-12-04T09:06:50.9458188Z     functorch/test_vmap 1/1
2025-12-04T09:06:50.9458488Z     torch_np/numpy_tests/lib/test_index_tricks 1/1
2025-12-04T09:06:50.9458837Z     test_jit_autocast 1/1
2025-12-04T09:06:50.9459103Z     nn/test_embedding 1/1
2025-12-04T09:06:50.9459357Z     test_unary_ufuncs 1/1
2025-12-04T09:06:50.9459633Z     test_xnnpack_integration 1/2
2025-12-04T09:06:50.9459928Z     test_accelerator 1/1
2025-12-04T09:06:50.9460204Z Name: excluded (est. time: 0.0min)
2025-12-04T09:06:50.9460483Z   Serial tests (0):
2025-12-04T09:06:50.9460857Z   Parallel tests (0):
2025-12-04T09:06:50.9461311Z Running dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:06:50.944457][694.444797799]
2025-12-04T09:06:50.9461805Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:06:50.9463100Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:50.944921]
2025-12-04T09:06:56.9215445Z 
2025-12-04T09:06:56.9216518Z 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_0408d50aabf8eef6_.log
2025-12-04T09:06:56.9217695Z Running 0 items in this shard:
2025-12-04T09:06:56.9217907Z 
2025-12-04T09:06:56.9218235Z Finished dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:06:56.921536][700.421872196], took 0.10min
2025-12-04T09:06:56.9227386Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-9e71d85d283c031e.xml
2025-12-04T09:06:57.2435514Z Uploading artifacts took 0.12 seconds
2025-12-04T09:06:57.2439551Z Running test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:06:57.243754][700.744089936]
2025-12-04T09:06:57.2440034Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:06:57.2444377Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:57.244200]
2025-12-04T09:07:02.8164604Z Finished test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:07:02.816102][706.316432756], took 0.09min
2025-12-04T09:07:02.8175212Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-eae6495dfcfd047a.xml
2025-12-04T09:07:02.9815942Z Uploading logs for 57116443104 to S3
2025-12-04T09:07:03.0298050Z Uploading artifacts took 0.19 seconds
2025-12-04T09:07:03.0298409Z test_ci_sanity_check_fail 1/1 failed!
2025-12-04T09:07:03.0302568Z Running inductor/test_max_autotune 1/1 ... [2025-12-04 09:07:03.030110][706.530448083]
2025-12-04T09:07:03.0303076Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:07:03.0307230Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:03.030497]
2025-12-04T09:07:22.8742371Z 
2025-12-04T09:07:22.8743342Z 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_1c9e68b6726d594b_.log
2025-12-04T09:07:22.8744132Z 
2025-12-04T09:07:22.8744442Z Finished inductor/test_max_autotune 1/1 ... [2025-12-04 09:07:22.874031][726.374367821], took 0.33min
2025-12-04T09:07:22.8758129Z Running doctests 1/1 ... [2025-12-04 09:07:22.875658][726.37599856]
2025-12-04T09:07:23.5256153Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368.
2025-12-04T09:07:23.5257085Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:23.5257701Z Registers the function implementation as the fallback for the given key.
2025-12-04T09:07:23.5258055Z 
2025-12-04T09:07:23.5258302Z         This function only works for a library with global namespace ("_").
2025-12-04T09:07:23.5258658Z 
2025-12-04T09:07:23.5258754Z         Args:
2025-12-04T09:07:23.5259163Z             fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-12-04T09:07:23.5259958Z                 to register a fallthrough.
2025-12-04T09:07:23.5260514Z             dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-12-04T09:07:23.5261113Z                           the dispatch key that the library was created with.
2025-12-04T09:07:23.5261774Z             with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-12-04T09:07:23.5262607Z                          to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-12-04T09:07:23.5263053Z 
2025-12-04T09:07:23.5263176Z         Example::
2025-12-04T09:07:23.5263315Z 
2025-12-04T09:07:23.5263424Z             >>> my_lib = Library("_", "IMPL")
2025-12-04T09:07:23.5263882Z             >>> def fallback_kernel(op, *args, **kwargs):
2025-12-04T09:07:23.5264266Z             >>>     # Handle all autocast ops generically
2025-12-04T09:07:23.5264606Z             >>>     # ...
2025-12-04T09:07:23.5264905Z             >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T09:07:23.5265256Z         
2025-12-04T09:07:23.5266021Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7))
2025-12-04T09:07:23.5266775Z 
2025-12-04T09:07:23.5266904Z my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T09:07:23.5267234Z ^
2025-12-04T09:07:23.5471787Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958.
2025-12-04T09:07:23.5472650Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:23.5473243Z Register a FakeTensor implementation ("fake impl") for this operator.
2025-12-04T09:07:23.5473606Z 
2025-12-04T09:07:23.5473807Z     Also sometimes known as a "meta kernel", "abstract impl".
2025-12-04T09:07:23.5474107Z 
2025-12-04T09:07:23.5474350Z     An "FakeTensor implementation" specifies the behavior of this operator on
2025-12-04T09:07:23.5474932Z     Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-12-04T09:07:23.5475511Z     certain properties (sizes/strides/storage_offset/device), it specifies
2025-12-04T09:07:23.5475994Z     what the properties of the output Tensors are.
2025-12-04T09:07:23.5476256Z 
2025-12-04T09:07:23.5476483Z     The FakeTensor implementation has the same signature as the operator.
2025-12-04T09:07:23.5477042Z     It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-12-04T09:07:23.5477574Z     implementation, assume that all Tensor inputs to the operator are
2025-12-04T09:07:23.5478116Z     regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-12-04T09:07:23.5478654Z     you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-12-04T09:07:23.5479210Z     The FakeTensor implementation must consist of only PyTorch operations
2025-12-04T09:07:23.5479742Z     (and may not directly access the storage or data of any input or
2025-12-04T09:07:23.5480151Z     intermediate Tensors).
2025-12-04T09:07:23.5480324Z 
2025-12-04T09:07:23.5480483Z     This API may be used as a decorator (see examples).
2025-12-04T09:07:23.5480748Z 
2025-12-04T09:07:23.5480884Z     For a detailed guide on custom ops, please see
2025-12-04T09:07:23.5481388Z     https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-12-04T09:07:23.5481743Z 
2025-12-04T09:07:23.5481824Z     Args:
2025-12-04T09:07:23.5482165Z         op_name: Operator name (along with the overload) or OpOverload object.
2025-12-04T09:07:23.5482612Z         func: Fake tensor implementation.
2025-12-04T09:07:23.5483034Z         lib (Optional[Library]): Library to register the fake tensor to.
2025-12-04T09:07:23.5483540Z         allow_override: Flag controlling if we want to override an
2025-12-04T09:07:23.5484006Z                         existing registered fake impl. This is by default off,
2025-12-04T09:07:23.5484634Z                         and will error you're trying to register a fake impl to
2025-12-04T09:07:23.5485105Z                         an operator that already has a fake impl. This also only
2025-12-04T09:07:23.5485565Z                         applies if the custom operator was not created via
2025-12-04T09:07:23.5486026Z                         torch.library.custom_op, as overriding and existing fake
2025-12-04T09:07:23.5486457Z                         impl is already allowed.
2025-12-04T09:07:23.5486682Z 
2025-12-04T09:07:23.5486783Z     Examples:
2025-12-04T09:07:23.5487059Z         >>> import torch
2025-12-04T09:07:23.5487336Z         >>> import numpy as np
2025-12-04T09:07:23.5487631Z         >>> from torch import Tensor
2025-12-04T09:07:23.5487909Z         >>>
2025-12-04T09:07:23.5488313Z         >>> # Example 1: an operator without data-dependent output shape
2025-12-04T09:07:23.5488846Z         >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-12-04T09:07:23.5489412Z         >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T09:07:23.5489918Z         >>>     raise NotImplementedError("Implementation goes here")
2025-12-04T09:07:23.5490294Z         >>>
2025-12-04T09:07:23.5490579Z         >>> @torch.library.register_fake("mylib::custom_linear")
2025-12-04T09:07:23.5490949Z         >>> def _(x, weight, bias):
2025-12-04T09:07:23.5491247Z         >>>     assert x.dim() == 2
2025-12-04T09:07:23.5491550Z         >>>     assert weight.dim() == 2
2025-12-04T09:07:23.5491868Z         >>>     assert bias.dim() == 1
2025-12-04T09:07:23.5492187Z         >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T09:07:23.5492554Z         >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T09:07:23.5492912Z         >>>     assert x.device == weight.device
2025-12-04T09:07:23.5493221Z         >>>
2025-12-04T09:07:23.5493454Z         >>>     return (x @ weight.t()) + bias
2025-12-04T09:07:23.5493761Z         >>>
2025-12-04T09:07:23.5494041Z         >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-12-04T09:07:23.5494427Z         >>>     x = torch.randn(2, 3)
2025-12-04T09:07:23.5494730Z         >>>     w = torch.randn(3, 3)
2025-12-04T09:07:23.5495018Z         >>>     b = torch.randn(3)
2025-12-04T09:07:23.5495347Z         >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-12-04T09:07:23.5495678Z         >>>
2025-12-04T09:07:23.5495893Z         >>> assert y.shape == (2, 3)
2025-12-04T09:07:23.5496164Z         >>>
2025-12-04T09:07:23.5496457Z         >>> # Example 2: an operator with data-dependent output shape
2025-12-04T09:07:23.5497188Z         >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-12-04T09:07:23.5497642Z         >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-12-04T09:07:23.5498003Z         >>>     x_np = x.numpy(force=True)
2025-12-04T09:07:23.5498355Z         >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T09:07:23.5498720Z         >>>     return torch.tensor(res, device=x.device)
2025-12-04T09:07:23.5499051Z         >>>
2025-12-04T09:07:23.5499339Z         >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-12-04T09:07:23.5499709Z         >>> def _(x):
2025-12-04T09:07:23.5499994Z         >>> # Number of nonzero-elements is data-dependent.
2025-12-04T09:07:23.5509038Z         >>> # Since we cannot peek at the data in an fake impl,
2025-12-04T09:07:23.5509520Z         >>> # we use the ctx object to construct a new symint that
2025-12-04T09:07:23.5509932Z         >>> # represents the data-dependent size.
2025-12-04T09:07:23.5510299Z         >>>     ctx = torch.library.get_ctx()
2025-12-04T09:07:23.5510644Z         >>>     nnz = ctx.new_dynamic_size()
2025-12-04T09:07:23.5510960Z         >>>     shape = [nnz, x.dim()]
2025-12-04T09:07:23.5511339Z         >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T09:07:23.5511703Z         >>>     return result
2025-12-04T09:07:23.5511957Z         >>>
2025-12-04T09:07:23.5512261Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-12-04T09:07:23.5512819Z         >>>
2025-12-04T09:07:23.5513042Z         >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-12-04T09:07:23.5513513Z         >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-12-04T09:07:23.5513989Z         >>> trace.print_readable()
2025-12-04T09:07:23.5514264Z         >>>
2025-12-04T09:07:23.5514612Z         >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-12-04T09:07:23.5514969Z 
2025-12-04T09:07:23.5515047Z     
2025-12-04T09:07:23.5515696Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-12-04T09:07:23.5516347Z 
2025-12-04T09:07:23.5516428Z _._ = None
2025-12-04T09:07:23.5516631Z ^
2025-12-04T09:07:23.5686782Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530.
2025-12-04T09:07:23.5687700Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:23.5688277Z Returns the computed kernel for a given operator and dispatch key.
2025-12-04T09:07:23.5688612Z 
2025-12-04T09:07:23.5688831Z     This function retrieves the kernel that would be executed for a given
2025-12-04T09:07:23.5689408Z     operator and dispatch key combination. The returned SafeKernelFunction
2025-12-04T09:07:23.5689955Z     can be used to call the kernel in a boxed fashion. The intended use
2025-12-04T09:07:23.5690466Z     case for this function is to retrieve the original kernel for a given
2025-12-04T09:07:23.5691017Z     dispatch key and then register another kernel to the same dispatch key
2025-12-04T09:07:23.5691523Z     that calls into the original kernel for certain cases.
2025-12-04T09:07:23.5691795Z 
2025-12-04T09:07:23.5691892Z     Args:
2025-12-04T09:07:23.5692200Z         op: Operator name (along with the overload) or OpOverload object
2025-12-04T09:07:23.5692764Z             Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-12-04T09:07:23.5693373Z         dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-12-04T09:07:23.5693932Z             Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-12-04T09:07:23.5694252Z 
2025-12-04T09:07:23.5694335Z     Returns:
2025-12-04T09:07:23.5694705Z         torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-12-04T09:07:23.5695163Z             call the kernel.
2025-12-04T09:07:23.5695337Z 
2025-12-04T09:07:23.5695417Z     Raises:
2025-12-04T09:07:23.5695685Z         RuntimeError: If the operator does not exist.
2025-12-04T09:07:23.5695936Z 
2025-12-04T09:07:23.5696035Z     Example:
2025-12-04T09:07:23.5696264Z         >>> # Get the CPU kernel for torch.add
2025-12-04T09:07:23.5696840Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-12-04T09:07:23.5697236Z         >>>
2025-12-04T09:07:23.5697486Z         >>> # You can also use DispatchKey enum
2025-12-04T09:07:23.5697972Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-12-04T09:07:23.5698432Z         >>>
2025-12-04T09:07:23.5698665Z         >>> # Or use an OpOverload directly
2025-12-04T09:07:23.5699101Z         >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-12-04T09:07:23.5699531Z         >>>
2025-12-04T09:07:23.5699867Z         >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-12-04T09:07:23.5700322Z         >>> # Get the original kernel for torch.sin
2025-12-04T09:07:23.5700762Z         >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-12-04T09:07:23.5701178Z         >>>
2025-12-04T09:07:23.5701529Z         >>> # If input has negative values, use original sin, otherwise return zeros
2025-12-04T09:07:23.5702006Z         >>> def conditional_sin_impl(dispatch_keys, x):
2025-12-04T09:07:23.5702354Z         >>>     if (x < 0).any():
2025-12-04T09:07:23.5702868Z         >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-12-04T09:07:23.5703260Z         >>>     else:
2025-12-04T09:07:23.5703509Z         >>>         return torch.zeros_like(x)
2025-12-04T09:07:23.5703822Z         >>>
2025-12-04T09:07:23.5704076Z         >>> lib = torch.library.Library("aten", "IMPL")
2025-12-04T09:07:23.5704568Z         >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-12-04T09:07:23.5705134Z         >>> which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T09:07:23.5705627Z         >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-12-04T09:07:23.5706017Z         >>>
2025-12-04T09:07:23.5706239Z         >>> # Test the conditional behavior
2025-12-04T09:07:23.5706665Z         >>> x_positive = torch.tensor([1.0, 2.0])
2025-12-04T09:07:23.5707015Z         >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-12-04T09:07:23.5707331Z         >>> torch.sin(x_positive)
2025-12-04T09:07:23.5707625Z         tensor([0., 0.])
2025-12-04T09:07:23.5707887Z         >>> torch.sin(x_mixed)
2025-12-04T09:07:23.5708152Z         tensor([-0.8415, 0.9093])
2025-12-04T09:07:23.5708428Z     
2025-12-04T09:07:23.5709032Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-12-04T09:07:23.5709631Z 
2025-12-04T09:07:23.5709828Z which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T09:07:23.5710196Z       ^
2025-12-04T09:07:24.0650621Z 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.
2025-12-04T09:07:24.0651572Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:24.0652219Z Check if the current accelerator is available at runtime: it was build, all the
2025-12-04T09:07:24.0652807Z     required drivers are available and at least one device is visible.
2025-12-04T09:07:24.0653286Z     See :ref:`accelerator<accelerators>` for details.
2025-12-04T09:07:24.0653552Z 
2025-12-04T09:07:24.0653636Z     Returns:
2025-12-04T09:07:24.0654040Z         bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-12-04T09:07:24.0654436Z 
2025-12-04T09:07:24.0654711Z     .. note:: This API delegates to the device-specific version of `is_available`.
2025-12-04T09:07:24.0655323Z         On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-12-04T09:07:24.0655955Z         this function will NOT poison fork. Otherwise, it will. For more details, see
2025-12-04T09:07:24.0656469Z         :ref:`multiprocessing-poison-fork-note`.
2025-12-04T09:07:24.0656719Z 
2025-12-04T09:07:24.0656821Z     Example::
2025-12-04T09:07:24.0656948Z 
2025-12-04T09:07:24.0657219Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:07:24.0657690Z     
2025-12-04T09:07:24.0658369Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-12-04T09:07:24.0659054Z 
2025-12-04T09:07:24.0659309Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:07:24.0659787Z                                         ^
2025-12-04T09:07:24.0694834Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239.
2025-12-04T09:07:24.0695747Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:24.0696309Z Wait for all kernels in all streams on the given device to complete.
2025-12-04T09:07:24.0696781Z 
2025-12-04T09:07:24.0696863Z     Args:
2025-12-04T09:07:24.0697314Z         device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-12-04T09:07:24.0697986Z             the current :ref:`accelerator<accelerators>` device type. If not given,
2025-12-04T09:07:24.0698730Z             use :func:`torch.accelerator.current_device_index` by default.
2025-12-04T09:07:24.0699059Z 
2025-12-04T09:07:24.0699376Z     .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-12-04T09:07:24.0699823Z 
2025-12-04T09:07:24.0699911Z     Example::
2025-12-04T09:07:24.0700039Z 
2025-12-04T09:07:24.0700188Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-12-04T09:07:24.0700696Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:07:24.0701226Z         >>> start_event = torch.Event(enable_timing=True)
2025-12-04T09:07:24.0701613Z         >>> end_event = torch.Event(enable_timing=True)
2025-12-04T09:07:24.0701953Z         >>> start_event.record()
2025-12-04T09:07:24.0702470Z         >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-12-04T09:07:24.0702937Z         >>> sum = torch.sum(tensor)
2025-12-04T09:07:24.0703252Z         >>> end_event.record()
2025-12-04T09:07:24.0703546Z         >>> torch.accelerator.synchronize()
2025-12-04T09:07:24.0703947Z         >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-12-04T09:07:24.0704316Z     
2025-12-04T09:07:24.0704985Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-12-04T09:07:24.0705678Z 
2025-12-04T09:07:24.0705933Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:07:24.0706412Z                                         ^
2025-12-04T09:07:24.1137076Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448.
2025-12-04T09:07:24.1137969Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:24.1138459Z Retrieves the CUDA runtime API module.
2025-12-04T09:07:24.1138703Z 
2025-12-04T09:07:24.1138708Z 
2025-12-04T09:07:24.1138961Z     This function initializes the CUDA runtime environment if it is not already
2025-12-04T09:07:24.1139559Z     initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-12-04T09:07:24.1140151Z     runtime API module provides access to various CUDA runtime functions.
2025-12-04T09:07:24.1140488Z 
2025-12-04T09:07:24.1140568Z     Args:
2025-12-04T09:07:24.1140776Z         ``None``
2025-12-04T09:07:24.1140905Z 
2025-12-04T09:07:24.1140997Z     Returns:
2025-12-04T09:07:24.1141248Z         module: The CUDA runtime API module (_cudart).
2025-12-04T09:07:24.1141508Z 
2025-12-04T09:07:24.1141588Z     Raises:
2025-12-04T09:07:24.1141939Z         RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-12-04T09:07:24.1142644Z         AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-12-04T09:07:24.1143134Z 
2025-12-04T09:07:24.1143262Z     Example of CUDA operations with profiling:
2025-12-04T09:07:24.1143600Z         >>> import torch
2025-12-04T09:07:24.1143898Z         >>> from torch.cuda import cudart, check_error
2025-12-04T09:07:24.1144219Z         >>> import os
2025-12-04T09:07:24.1144453Z         >>>
2025-12-04T09:07:24.1144687Z         >>> os.environ["CUDA_PROFILE"] = "1"
2025-12-04T09:07:24.1144982Z         >>>
2025-12-04T09:07:24.1145241Z         >>> def perform_cuda_operations_with_streams():
2025-12-04T09:07:24.1145603Z         >>>     stream = torch.cuda.Stream()
2025-12-04T09:07:24.1145931Z         >>>     with torch.cuda.stream(stream):
2025-12-04T09:07:24.1146290Z         >>>         x = torch.randn(100, 100, device='cuda')
2025-12-04T09:07:24.1146657Z         >>>         y = torch.randn(100, 100, device='cuda')
2025-12-04T09:07:24.1147004Z         >>>         z = torch.mul(x, y)
2025-12-04T09:07:24.1147291Z         >>>     return z
2025-12-04T09:07:24.1147531Z         >>>
2025-12-04T09:07:24.1147760Z         >>> torch.cuda.synchronize()
2025-12-04T09:07:24.1148331Z         >>> print("====== Start nsys profiling ======")
2025-12-04T09:07:24.1148720Z         >>> check_error(cudart().cudaProfilerStart())
2025-12-04T09:07:24.1149113Z         >>> with torch.autograd.profiler.emit_nvtx():
2025-12-04T09:07:24.1149505Z         >>>     result = perform_cuda_operations_with_streams()
2025-12-04T09:07:24.1149900Z         >>>     print("CUDA operations completed.")
2025-12-04T09:07:24.1150299Z         >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-12-04T09:07:24.1150704Z         >>> print("====== End nsys profiling ======")
2025-12-04T09:07:24.1150939Z 
2025-12-04T09:07:24.1151133Z     To run this example and save the profiling information, execute:
2025-12-04T09:07:24.1151911Z         >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T09:07:24.1152391Z 
2025-12-04T09:07:24.1152644Z     This command profiles the CUDA operations in the provided script and saves
2025-12-04T09:07:24.1153199Z     the profiling information to a file named `trace_name.prof`.
2025-12-04T09:07:24.1153756Z     The `--profile-from-start off` option ensures that profiling starts only
2025-12-04T09:07:24.1154261Z     after the `cudaProfilerStart` call in the script.
2025-12-04T09:07:24.1154745Z     The `--csv` and `--print-summary` options format the profiling output as a
2025-12-04T09:07:24.1155206Z     CSV file and print a summary, respectively.
2025-12-04T09:07:24.1155699Z     The `-o` option specifies the output file name, and the `-f` option forces the
2025-12-04T09:07:24.1156215Z     overwrite of the output file if it already exists.
2025-12-04T09:07:24.1156550Z     
2025-12-04T09:07:24.1157320Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2))
2025-12-04T09:07:24.1158102Z 
2025-12-04T09:07:24.1158449Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T09:07:24.1159005Z ^
2025-12-04T09:07:25.8139049Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39.
2025-12-04T09:07:25.8139939Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:25.8140310Z 
2025-12-04T09:07:25.8140543Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-12-04T09:07:25.8141068Z maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-12-04T09:07:25.8141598Z pushes the map into PyTorch operations called by ``func``, effectively
2025-12-04T09:07:25.8142045Z vectorizing those operations.
2025-12-04T09:07:25.8142234Z 
2025-12-04T09:07:25.8142509Z vmap is useful for handling batch dimensions: one can write a function
2025-12-04T09:07:25.8143073Z ``func`` that runs on examples and then lift it to a function that can
2025-12-04T09:07:25.8143592Z take batches of examples with ``vmap(func)``. vmap can also be used to
2025-12-04T09:07:25.8144101Z compute batched gradients when composed with autograd.
2025-12-04T09:07:25.8144375Z 
2025-12-04T09:07:25.8144496Z .. note::
2025-12-04T09:07:25.8144785Z     :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-12-04T09:07:25.8145212Z     convenience. Use whichever one you'd like.
2025-12-04T09:07:25.8145464Z 
2025-12-04T09:07:25.8145541Z Args:
2025-12-04T09:07:25.8145864Z     func (function): A Python function that takes one or more arguments.
2025-12-04T09:07:25.8146288Z         Must return one or more Tensors.
2025-12-04T09:07:25.8146706Z     in_dims (int or nested structure): Specifies which dimension of the
2025-12-04T09:07:25.8147200Z         inputs should be mapped over. ``in_dims`` should have a
2025-12-04T09:07:25.8147671Z         structure like the inputs. If the ``in_dim`` for a particular
2025-12-04T09:07:25.8148165Z         input is None, then that indicates there is no map dimension.
2025-12-04T09:07:25.8148555Z         Default: 0.
2025-12-04T09:07:25.8149157Z     out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-12-04T09:07:25.8149655Z         should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-12-04T09:07:25.8150119Z         it should have one element per output. Default: 0.
2025-12-04T09:07:25.8150570Z     randomness (str): Specifies whether the randomness in this
2025-12-04T09:07:25.8151063Z         vmap should be the same or different across batches. If 'different',
2025-12-04T09:07:25.8151597Z         the randomness for each batch will be different. If 'same', the
2025-12-04T09:07:25.8152127Z         randomness will be the same across batches. If 'error', any calls to
2025-12-04T09:07:25.8152669Z         random functions will error. Default: 'error'. WARNING: this flag
2025-12-04T09:07:25.8153279Z         only applies to random PyTorch operations and does not apply to
2025-12-04T09:07:25.8153733Z         Python's random module or numpy randomness.
2025-12-04T09:07:25.8154202Z     chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-12-04T09:07:25.8154756Z         If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-12-04T09:07:25.8155349Z         Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-12-04T09:07:25.8155999Z         If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-12-04T09:07:25.8156388Z 
2025-12-04T09:07:25.8156482Z Returns:
2025-12-04T09:07:25.8156774Z     Returns a new "batched" function. It takes the same inputs as
2025-12-04T09:07:25.8157256Z     ``func``, except each input has an extra dimension at the index
2025-12-04T09:07:25.8157743Z     specified by ``in_dims``. It takes returns the same outputs as
2025-12-04T09:07:25.8158222Z     ``func``, except each output has an extra dimension at the index
2025-12-04T09:07:25.8158625Z     specified by ``out_dims``.
2025-12-04T09:07:25.8158808Z 
2025-12-04T09:07:25.8158901Z .. warning:
2025-12-04T09:07:25.8159223Z     :func:`vmap` works best with functional-style code. Please do not
2025-12-04T09:07:25.8159709Z     perform any side-effects in ``func``, with the exception of
2025-12-04T09:07:25.8160245Z     in-place PyTorch operations. Examples of side-effects include mutating
2025-12-04T09:07:25.8160823Z     Python data structures and assigning values to variables not captured
2025-12-04T09:07:25.8161240Z     in ``func``.
2025-12-04T09:07:25.8161385Z 
2025-12-04T09:07:25.8161615Z One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-12-04T09:07:25.8162188Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-12-04T09:07:25.8162740Z rummaging through docs, use :func:`vmap` to construct a new function.
2025-12-04T09:07:25.8163073Z 
2025-12-04T09:07:25.8163187Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T09:07:25.8163603Z     >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-12-04T09:07:25.8164054Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T09:07:25.8164385Z     >>> batched_dot(x, y)
2025-12-04T09:07:25.8164563Z 
2025-12-04T09:07:25.8164794Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-12-04T09:07:25.8165244Z model authoring experience.
2025-12-04T09:07:25.8165420Z 
2025-12-04T09:07:25.8165525Z     >>> batch_size, feature_size = 3, 5
2025-12-04T09:07:25.8165911Z     >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T09:07:25.8166279Z     >>>
2025-12-04T09:07:25.8166494Z     >>> def model(feature_vec):
2025-12-04T09:07:25.8166792Z     >>> # Very simple linear model with activation
2025-12-04T09:07:25.8167253Z     >>>     return feature_vec.dot(weights).relu()
2025-12-04T09:07:25.8167578Z     >>>
2025-12-04T09:07:25.8167828Z     >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T09:07:25.8168215Z     >>> result = torch.vmap(model)(examples)
2025-12-04T09:07:25.8168439Z 
2025-12-04T09:07:25.8168697Z :func:`vmap` can also help vectorize computations that were previously difficult
2025-12-04T09:07:25.8169378Z or impossible to batch. One example is higher-order gradient computation.
2025-12-04T09:07:25.8169956Z The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-12-04T09:07:25.8170532Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-12-04T09:07:25.8171127Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-12-04T09:07:25.8171715Z we can vectorize the whole computation, computing the Jacobian in a single
2025-12-04T09:07:25.8172176Z call to ``autograd.grad``.
2025-12-04T09:07:25.8172349Z 
2025-12-04T09:07:25.8172443Z     >>> # Setup
2025-12-04T09:07:25.8172645Z     >>> N = 5
2025-12-04T09:07:25.8172867Z     >>> f = lambda x: x**2
2025-12-04T09:07:25.8173154Z     >>> x = torch.randn(N, requires_grad=True)
2025-12-04T09:07:25.8173544Z     >>> y = f(x)
2025-12-04T09:07:25.8173763Z     >>> I_N = torch.eye(N)
2025-12-04T09:07:25.8174011Z     >>>
2025-12-04T09:07:25.8174221Z     >>> # Sequential approach
2025-12-04T09:07:25.8174610Z     >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-12-04T09:07:25.8175055Z     >>>                  for v in I_N.unbind()]
2025-12-04T09:07:25.8175400Z     >>> jacobian = torch.stack(jacobian_rows)
2025-12-04T09:07:25.8175699Z     >>>
2025-12-04T09:07:25.8175924Z     >>> # vectorized gradient computation
2025-12-04T09:07:25.8176236Z     >>> def get_vjp(v):
2025-12-04T09:07:25.8176501Z     >>>     return torch.autograd.grad(y, x, v)
2025-12-04T09:07:25.8176846Z     >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-12-04T09:07:25.8177066Z 
2025-12-04T09:07:25.8177336Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-12-04T09:07:25.8177719Z 
2025-12-04T09:07:25.8177830Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T09:07:25.8178124Z     >>> batched_dot = torch.vmap(
2025-12-04T09:07:25.8178419Z     ...     torch.vmap(torch.dot)
2025-12-04T09:07:25.8178727Z     ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-12-04T09:07:25.8179083Z     >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-12-04T09:07:25.8179456Z     >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-12-04T09:07:25.8179686Z 
2025-12-04T09:07:25.8179933Z If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-12-04T09:07:25.8180438Z the dimension that each inputs are batched along as
2025-12-04T09:07:25.8180694Z 
2025-12-04T09:07:25.8180790Z     >>> torch.dot  # [N], [N] -> []
2025-12-04T09:07:25.8181342Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-12-04T09:07:25.8181914Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T09:07:25.8182231Z     >>> batched_dot(
2025-12-04T09:07:25.8182468Z     ...     x, y
2025-12-04T09:07:25.8182799Z     ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-12-04T09:07:25.8183105Z 
2025-12-04T09:07:25.8183361Z If there are multiple inputs each of which is batched along different dimensions,
2025-12-04T09:07:25.8183950Z ``in_dims`` must be a tuple with the batch dimension for each input as
2025-12-04T09:07:25.8184276Z 
2025-12-04T09:07:25.8184372Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T09:07:25.8184806Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-12-04T09:07:25.8185268Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T09:07:25.8185585Z     >>> batched_dot(
2025-12-04T09:07:25.8185817Z     ...     x, y
2025-12-04T09:07:25.8186131Z     ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-12-04T09:07:25.8186454Z 
2025-12-04T09:07:25.8186686Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-12-04T09:07:25.8187151Z matching the shape of the input:
2025-12-04T09:07:25.8187346Z 
2025-12-04T09:07:25.8187504Z     >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-12-04T09:07:25.8187861Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T09:07:25.8188188Z     >>> input = {"x": x, "y": y}
2025-12-04T09:07:25.8188641Z     >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-12-04T09:07:25.8189019Z     >>> batched_dot(input)
2025-12-04T09:07:25.8189201Z 
2025-12-04T09:07:25.8189473Z By default, the output is batched along the first dimension. However, it can be batched
2025-12-04T09:07:25.8189993Z along any dimension by using ``out_dims``
2025-12-04T09:07:25.8190218Z 
2025-12-04T09:07:25.8190324Z     >>> f = lambda x: x**2
2025-12-04T09:07:25.8190585Z     >>> x = torch.randn(2, 5)
2025-12-04T09:07:25.8190892Z     >>> batched_pow = torch.vmap(f, out_dims=1)
2025-12-04T09:07:25.8191225Z     >>> batched_pow(x)  # [5, 2]
2025-12-04T09:07:25.8191408Z 
2025-12-04T09:07:25.8191696Z For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-12-04T09:07:25.8192261Z accept kwargs
2025-12-04T09:07:25.8192404Z 
2025-12-04T09:07:25.8192501Z     >>> x = torch.randn([2, 5])
2025-12-04T09:07:25.8192778Z     >>> def fn(x, scale=4.):
2025-12-04T09:07:25.8193038Z     >>>   return x * scale
2025-12-04T09:07:25.8193286Z     >>>
2025-12-04T09:07:25.8193503Z     >>> batched_pow = torch.vmap(fn)
2025-12-04T09:07:25.8193840Z     >>> assert torch.allclose(batched_pow(x), x * 4)
2025-12-04T09:07:25.8194317Z     >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-12-04T09:07:25.8194658Z 
2025-12-04T09:07:25.8194760Z .. note::
2025-12-04T09:07:25.8195087Z     vmap does not provide general autobatching or handle variable-length
2025-12-04T09:07:25.8195522Z     sequences out of the box.
2025-12-04T09:07:25.8195702Z 
2025-12-04T09:07:25.8196239Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-12-04T09:07:25.8197157Z 
2025-12-04T09:07:25.8197257Z _._ = None
2025-12-04T09:07:25.8197448Z ^
2025-12-04T09:07:25.8198068Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306.
2025-12-04T09:07:25.8198916Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:25.8199518Z ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-12-04T09:07:25.8200059Z     input(s) specified by ``argnums``. This operator can be nested to
2025-12-04T09:07:25.8200484Z     compute higher-order gradients.
2025-12-04T09:07:25.8200702Z 
2025-12-04T09:07:25.8200780Z     Args:
2025-12-04T09:07:25.8201103Z         func (Callable): A Python function that takes one or more arguments.
2025-12-04T09:07:25.8201682Z             Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-12-04T09:07:25.8202327Z             function can return a tuple of single-element Tensor and other auxiliary objects:
2025-12-04T09:07:25.8202819Z             ``(output, aux)``.
2025-12-04T09:07:25.8203269Z         argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-12-04T09:07:25.8203872Z             ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-12-04T09:07:25.8204411Z         has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-12-04T09:07:25.8204913Z             auxiliary objects: ``(output, aux)``. Default: False.
2025-12-04T09:07:25.8205185Z 
2025-12-04T09:07:25.8205268Z     Returns:
2025-12-04T09:07:25.8205679Z         Function to compute gradients with respect to its inputs. By default, the output of
2025-12-04T09:07:25.8206320Z         the function is the gradient tensor(s) with respect to the first argument.
2025-12-04T09:07:25.8206943Z         If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-12-04T09:07:25.8207657Z         is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-12-04T09:07:25.8208175Z         respect to each ``argnums`` value is returned.
2025-12-04T09:07:25.8208426Z 
2025-12-04T09:07:25.8208537Z     Example of using ``grad``:
2025-12-04T09:07:25.8208884Z 
2025-12-04T09:07:25.8208979Z         >>> # xdoctest: +SKIP
2025-12-04T09:07:25.8209271Z         >>> from torch.func import grad
2025-12-04T09:07:25.8209586Z         >>> x = torch.randn([])
2025-12-04T09:07:25.8209893Z         >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-12-04T09:07:25.8210244Z         >>> assert torch.allclose(cos_x, x.cos())
2025-12-04T09:07:25.8210565Z         >>>
2025-12-04T09:07:25.8210790Z         >>> # Second-order gradients
2025-12-04T09:07:25.8211127Z         >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-12-04T09:07:25.8211529Z         >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-12-04T09:07:25.8211770Z 
2025-12-04T09:07:25.8212028Z     When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-12-04T09:07:25.8212393Z 
2025-12-04T09:07:25.8212575Z         >>> # xdoctest: +SKIP
2025-12-04T09:07:25.8212876Z         >>> from torch.func import grad, vmap
2025-12-04T09:07:25.8213215Z         >>> batch_size, feature_size = 3, 5
2025-12-04T09:07:25.8213524Z         >>>
2025-12-04T09:07:25.8213747Z         >>> def model(weights, feature_vec):
2025-12-04T09:07:25.8214103Z         >>> # Very simple linear model with activation
2025-12-04T09:07:25.8214464Z         >>>     assert feature_vec.dim() == 1
2025-12-04T09:07:25.8214803Z         >>>     return feature_vec.dot(weights).relu()
2025-12-04T09:07:25.8215120Z         >>>
2025-12-04T09:07:25.8215371Z         >>> def compute_loss(weights, example, target):
2025-12-04T09:07:25.8215713Z         >>>     y = model(weights, example)
2025-12-04T09:07:25.8216065Z         >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-12-04T09:07:25.8216394Z         >>>
2025-12-04T09:07:25.8216675Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T09:07:25.8217120Z         >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T09:07:25.8217496Z         >>> targets = torch.randn(batch_size)
2025-12-04T09:07:25.8217842Z         >>> inputs = (weights, examples, targets)
2025-12-04T09:07:25.8218296Z         >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-12-04T09:07:25.8218735Z         ...     *inputs
2025-12-04T09:07:25.8218968Z         ... )
2025-12-04T09:07:25.8219088Z 
2025-12-04T09:07:25.8219259Z     Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-12-04T09:07:25.8219554Z 
2025-12-04T09:07:25.8219648Z         >>> # xdoctest: +SKIP
2025-12-04T09:07:25.8219935Z         >>> from torch.func import grad
2025-12-04T09:07:25.8220257Z         >>> def my_loss_func(y, y_pred):
2025-12-04T09:07:25.8220591Z         >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-12-04T09:07:25.8220945Z         >>>    loss = loss_per_sample.mean()
2025-12-04T09:07:25.8221283Z         >>>    return loss, (y_pred, loss_per_sample)
2025-12-04T09:07:25.8221627Z         >>>
2025-12-04T09:07:25.8221897Z         >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-12-04T09:07:25.8222268Z         >>> y_true = torch.rand(4)
2025-12-04T09:07:25.8222589Z         >>> y_preds = torch.rand(4, requires_grad=True)
2025-12-04T09:07:25.8222942Z         >>> out = fn(y_true, y_preds)
2025-12-04T09:07:25.8223395Z         >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-12-04T09:07:25.8223757Z 
2025-12-04T09:07:25.8223848Z     .. note::
2025-12-04T09:07:25.8224151Z         Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-12-04T09:07:25.8224447Z 
2025-12-04T09:07:25.8224592Z         Case 1: Using ``torch.no_grad`` inside a function:
2025-12-04T09:07:25.8224848Z 
2025-12-04T09:07:25.8224960Z             >>> # xdoctest: +SKIP
2025-12-04T09:07:25.8225231Z             >>> def f(x):
2025-12-04T09:07:25.8225505Z             >>>     with torch.no_grad():
2025-12-04T09:07:25.8225817Z             >>>         c = x ** 2
2025-12-04T09:07:25.8226099Z             >>>     return x - c
2025-12-04T09:07:25.8226296Z 
2025-12-04T09:07:25.8226488Z         In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-12-04T09:07:25.8226881Z 
2025-12-04T09:07:25.8227079Z         Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-12-04T09:07:25.8227377Z 
2025-12-04T09:07:25.8227487Z             >>> # xdoctest: +SKIP
2025-12-04T09:07:25.8227766Z             >>> with torch.no_grad():
2025-12-04T09:07:25.8228065Z             >>>     grad(f)(x)
2025-12-04T09:07:25.8228239Z 
2025-12-04T09:07:25.8228469Z         In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-12-04T09:07:25.8229023Z         outer one. This is because ``grad`` is a "function transform": its result
2025-12-04T09:07:25.8229585Z         should not depend on the result of a context manager outside of ``f``.
2025-12-04T09:07:25.8229934Z 
2025-12-04T09:07:25.8230009Z     
2025-12-04T09:07:25.8230707Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-12-04T09:07:25.8231347Z 
2025-12-04T09:07:25.8231429Z _._ = None
2025-12-04T09:07:25.8231631Z ^
2025-12-04T09:07:29.2933231Z 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.
2025-12-04T09:07:29.2934245Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:29.2934797Z Register a FakeTensor implementation for this custom op.
2025-12-04T09:07:29.2935085Z 
2025-12-04T09:07:29.2935331Z         This is necessary to get the operator to work efficiently with torch.compile.
2025-12-04T09:07:29.2935714Z 
2025-12-04T09:07:29.2935932Z         The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-12-04T09:07:29.2936498Z         specifies the behavior of this operator on Tensors that carry no data.
2025-12-04T09:07:29.2937023Z         Given some input Tensors with certain properties
2025-12-04T09:07:29.2937529Z         (sizes/strides/storage_offset/device), it specifies what the properties of
2025-12-04T09:07:29.2938018Z         the output Tensors are.
2025-12-04T09:07:29.2938200Z 
2025-12-04T09:07:29.2938412Z         Please see :func:`torch.library.register_fake` for more details.
2025-12-04T09:07:29.2938728Z 
2025-12-04T09:07:29.2938809Z         Args:
2025-12-04T09:07:29.2939108Z             fn (Callable): The function to register as the FakeTensor
2025-12-04T09:07:29.2939491Z                 implementation.
2025-12-04T09:07:29.2939673Z 
2025-12-04T09:07:29.2939767Z         Examples:
2025-12-04T09:07:29.2939987Z             >>> import torch
2025-12-04T09:07:29.2940261Z             >>> import numpy as np
2025-12-04T09:07:29.2940564Z             >>> from torch import Tensor
2025-12-04T09:07:29.2940848Z             >>>
2025-12-04T09:07:29.2941168Z             >>> # Example 1: an operator without data-dependent output shape
2025-12-04T09:07:29.2941692Z             >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-12-04T09:07:29.2942182Z             >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T09:07:29.2942619Z             >>>     return (x @ weight.t()) + bias
2025-12-04T09:07:29.2942940Z             >>>
2025-12-04T09:07:29.2943181Z             >>> @linear.register_fake
2025-12-04T09:07:29.2943479Z             >>> def _(x, weight, bias):
2025-12-04T09:07:29.2943784Z             >>>     assert x.dim() == 2
2025-12-04T09:07:29.2944101Z             >>>     assert weight.dim() == 2
2025-12-04T09:07:29.2944411Z             >>>     assert bias.dim() == 1
2025-12-04T09:07:29.2944749Z             >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T09:07:29.2945122Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T09:07:29.2945476Z             >>>     assert x.device == weight.device
2025-12-04T09:07:29.2945859Z             >>>     return x.new_empty(x.size(0), weight.size(0))
2025-12-04T09:07:29.2946204Z             >>>
2025-12-04T09:07:29.2946425Z             >>> x = torch.randn(2, 2)
2025-12-04T09:07:29.2946738Z             >>> weight = torch.randn(2, 2)
2025-12-04T09:07:29.2947329Z             >>> bias = torch.randn(2)
2025-12-04T09:07:29.2947673Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:07:29.2948102Z             >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-12-04T09:07:29.2948546Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:07:29.2949038Z             >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-12-04T09:07:29.2949476Z             >>>
2025-12-04T09:07:29.2949781Z             >>> # Example 2: an operator with data-dependent output shape
2025-12-04T09:07:29.2950269Z             >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-12-04T09:07:29.2950700Z             >>> def nonzero(x: Tensor) -> Tensor:
2025-12-04T09:07:29.2951113Z             >>>     x_np = x.cpu().numpy()
2025-12-04T09:07:29.2951459Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T09:07:29.2951840Z             >>>     return torch.tensor(res, device=x.device)
2025-12-04T09:07:29.2952163Z             >>>
2025-12-04T09:07:29.2952399Z             >>> @nonzero.register_fake
2025-12-04T09:07:29.2952705Z             >>> def _(x):
2025-12-04T09:07:29.2953005Z             >>> # Number of nonzero-elements is data-dependent.
2025-12-04T09:07:29.2953439Z             >>> # Since we cannot peek at the data in an abstract impl,
2025-12-04T09:07:29.2953908Z             >>> # we use the ctx object to construct a new symint that
2025-12-04T09:07:29.2954317Z             >>> # represents the data-dependent size.
2025-12-04T09:07:29.2954669Z             >>>     ctx = torch.library.get_ctx()
2025-12-04T09:07:29.2955018Z             >>>     nnz = ctx.new_dynamic_size()
2025-12-04T09:07:29.2955349Z             >>>     shape = [nnz, x.dim()]
2025-12-04T09:07:29.2955704Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T09:07:29.2956065Z             >>>     return result
2025-12-04T09:07:29.2956335Z             >>>
2025-12-04T09:07:29.2956573Z             >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-12-04T09:07:29.2956937Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:07:29.2957335Z             >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-12-04T09:07:29.2957734Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:07:29.2958099Z             >>> assert torch.allclose(out, x.nonzero())
2025-12-04T09:07:29.2958351Z 
2025-12-04T09:07:29.2958431Z         
2025-12-04T09:07:29.2959092Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-12-04T09:07:29.2959742Z 
2025-12-04T09:07:29.2959836Z _._ = None
2025-12-04T09:07:29.2960025Z ^
2025-12-04T09:07:29.3219710Z 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.
2025-12-04T09:07:29.3220740Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-12-04T09:07:29.3221130Z 
2025-12-04T09:07:29.3221371Z Registers a fake kernel based on the given operator profiles. This fake
2025-12-04T09:07:29.3221951Z kernel registration will override any existing fake kernel registrations.
2025-12-04T09:07:29.3222324Z 
2025-12-04T09:07:29.3222533Z The input is a dictionary mapping operator names to a set of operator
2025-12-04T09:07:29.3223096Z profiles, which we will use to generate fake kernels. The operator profiles
2025-12-04T09:07:29.3223650Z are a record of the input and output tensor metadata. Based on this
2025-12-04T09:07:29.3224187Z information we will match a given input to the recorded profile, and return
2025-12-04T09:07:29.3224767Z an output with the same metadata as in the recorded profile. If a profile
2025-12-04T09:07:29.3225254Z doesn't exist then an exception will be thrown.
2025-12-04T09:07:29.3225497Z 
2025-12-04T09:07:29.3225722Z The fake kernel generation is considered unsafe because it relies on the
2025-12-04T09:07:29.3226492Z rigid, pre-defined operator profiles that do not account for potential
2025-12-04T09:07:29.3227087Z variations in output behavior. Specifically, the generated kernels assume a
2025-12-04T09:07:29.3227711Z fixed relationship between input and output ranks. However, in reality, it's
2025-12-04T09:07:29.3228310Z possible that data-dependent operations may produce outputs of different
2025-12-04T09:07:29.3228891Z ranks even when given inputs of the same rank. The generated fake kernels
2025-12-04T09:07:29.3229448Z are inflexible and unable to accommodate these nuances, making them
2025-12-04T09:07:29.3229862Z potentially unsafe.
2025-12-04T09:07:29.3230015Z 
2025-12-04T09:07:29.3230091Z Args:
2025-12-04T09:07:29.3230545Z     op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-12-04T09:07:29.3231083Z         name to a set of operator profiles from which we will generate fake
2025-12-04T09:07:29.3231471Z         kernels.
2025-12-04T09:07:29.3231618Z 
2025-12-04T09:07:29.3231699Z Examples:
2025-12-04T09:07:29.3231814Z 
2025-12-04T09:07:29.3231996Z     >>> # Example: Registering an op-profile from draft-export
2025-12-04T09:07:29.3232355Z     >>> import torch
2025-12-04T09:07:29.3232664Z     >>> from torch.export._draft_export import draft_export
2025-12-04T09:07:29.3233019Z     >>>
2025-12-04T09:07:29.3233314Z     >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-12-04T09:07:29.3233734Z     >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-12-04T09:07:29.3234064Z     >>>     return x + y
2025-12-04T09:07:29.3234307Z     >>>
2025-12-04T09:07:29.3234510Z     >>> class M(torch.nn.Module):
2025-12-04T09:07:29.3234806Z     >>>     def forward(self, a, b):
2025-12-04T09:07:29.3235152Z     >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-12-04T09:07:29.3235496Z     >>>         return res
2025-12-04T09:07:29.3235740Z     >>>
2025-12-04T09:07:29.3236022Z     >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-12-04T09:07:29.3236378Z     >>>
2025-12-04T09:07:29.3236787Z     >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-12-04T09:07:29.3237326Z     >>>     decomp = ep.run_decompositions()
2025-12-04T09:07:29.3237549Z 
2025-12-04T09:07:29.3237553Z 
2025-12-04T09:07:29.3238043Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-12-04T09:07:29.3238642Z 
2025-12-04T09:07:29.9798823Z 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.
2025-12-04T09:07:29.9800046Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:29.9800427Z 
2025-12-04T09:07:29.9800708Z The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-12-04T09:07:29.9801320Z network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-12-04T09:07:29.9801916Z zeroes out the activations based on the mask_fn (or sparsification function)
2025-12-04T09:07:29.9802380Z input by the user.
2025-12-04T09:07:29.9802748Z The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-12-04T09:07:29.9803243Z mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-12-04T09:07:29.9803505Z 
2025-12-04T09:07:29.9803617Z Note::
2025-12-04T09:07:29.9804057Z     The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-12-04T09:07:29.9804498Z 
2025-12-04T09:07:29.9804589Z Args:
2025-12-04T09:07:29.9804782Z     model (nn.Module):
2025-12-04T09:07:29.9805163Z         The model whose layers will be sparsified. The layers that needs to be
2025-12-04T09:07:29.9805749Z         sparsified should be added separately using the register_layer() function
2025-12-04T09:07:29.9806224Z     aggregate_fn (Optional, Callable):
2025-12-04T09:07:29.9806684Z         default aggregate_fn that is used if not specified while registering the layer.
2025-12-04T09:07:29.9807542Z         specifies how inputs should be aggregated over time.
2025-12-04T09:07:29.9808113Z         The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-12-04T09:07:29.9808601Z         Example
2025-12-04T09:07:29.9808915Z             def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-12-04T09:07:29.9809327Z             reduce_fn (Optional, Callable):
2025-12-04T09:07:29.9809799Z                 default reduce_fn that is used if not specified while registering the layer.
2025-12-04T09:07:29.9810403Z                 reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-12-04T09:07:29.9810894Z                 calling agg_fn() on all inputs.
2025-12-04T09:07:29.9811331Z                 Example
2025-12-04T09:07:29.9811671Z             def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-12-04T09:07:29.9812102Z             mask_fn (Optional, Callable):
2025-12-04T09:07:29.9812636Z                 default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-12-04T09:07:29.9813320Z                 calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-12-04T09:07:29.9813784Z                 register_layer().
2025-12-04T09:07:29.9814327Z                 Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-12-04T09:07:29.9814884Z                 arguments.
2025-12-04T09:07:29.9815149Z             features (Optional, list):
2025-12-04T09:07:29.9815515Z                 default selected features to sparsify.
2025-12-04T09:07:29.9816019Z                 If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-12-04T09:07:29.9816505Z                 For example,
2025-12-04T09:07:29.9816921Z             mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-12-04T09:07:29.9817418Z             feature_dim (Optional, int):
2025-12-04T09:07:29.9817933Z                 default dimension of input features. Again, features along this dim will be chosen
2025-12-04T09:07:29.9818426Z                 for sparsification.
2025-12-04T09:07:29.9818733Z             sparse_config (Dict):
2025-12-04T09:07:29.9819149Z                 Default configuration for the mask_fn. This config will be passed
2025-12-04T09:07:29.9819577Z                 with the mask_fn()
2025-12-04T09:07:29.9819786Z 
2025-12-04T09:07:29.9819869Z Example:
2025-12-04T09:07:29.9820085Z     >>> # xdoctest: +SKIP
2025-12-04T09:07:29.9820340Z     >>> model = SomeModel()
2025-12-04T09:07:29.9820764Z     >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-12-04T09:07:29.9821237Z     >>> # Initialize aggregate_fn
2025-12-04T09:07:29.9821532Z     >>> def agg_fn(x, y):
2025-12-04T09:07:29.9821780Z     >>>     return x + y
2025-12-04T09:07:29.9822029Z     >>>
2025-12-04T09:07:29.9822251Z     >>> # Initialize reduce_fn
2025-12-04T09:07:29.9822517Z     >>> def reduce_fn(x):
2025-12-04T09:07:29.9822793Z     >>>     return torch.mean(x, dim=0)
2025-12-04T09:07:29.9823091Z     >>>
2025-12-04T09:07:29.9823286Z     >>> # Initialize mask_fn
2025-12-04T09:07:29.9823555Z     >>> def mask_fn(data):
2025-12-04T09:07:29.9823861Z     >>>     return torch.eye(data.shape).to(data.device)
2025-12-04T09:07:29.9824187Z     >>>
2025-12-04T09:07:29.9824380Z     >>>
2025-12-04T09:07:29.9824602Z     >>> act_sparsifier.register_layer(
2025-12-04T09:07:29.9824908Z     ...     model.some_layer,
2025-12-04T09:07:29.9825185Z     ...     aggregate_fn=agg_fn,
2025-12-04T09:07:29.9825469Z     ...     reduce_fn=reduce_fn,
2025-12-04T09:07:29.9825735Z     ...     mask_fn=mask_fn,
2025-12-04T09:07:29.9825986Z     ... )
2025-12-04T09:07:29.9826188Z     >>>
2025-12-04T09:07:29.9826387Z     >>> # start training process
2025-12-04T09:07:29.9826666Z     >>> for _ in [...]:
2025-12-04T09:07:29.9826908Z     >>> # epoch starts
2025-12-04T09:07:29.9827317Z     >>> # model.forward(), compute_loss() and model.backwards()
2025-12-04T09:07:29.9827683Z     >>> # epoch ends
2025-12-04T09:07:29.9827939Z     >>>     act_sparsifier.step()
2025-12-04T09:07:29.9828238Z     >>> # end training process
2025-12-04T09:07:29.9828519Z     >>> sparsifier.squash_mask()
2025-12-04T09:07:29.9828722Z 
2025-12-04T09:07:29.9829232Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-12-04T09:07:29.9829851Z 
2025-12-04T09:07:29.9829942Z _._ = None
2025-12-04T09:07:29.9830130Z ^
2025-12-04T09:07:30.9337105Z 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.
2025-12-04T09:07:30.9338320Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:30.9338709Z 
2025-12-04T09:07:30.9338979Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-12-04T09:07:30.9339648Z The submesh created consists of the dimensions and the communicators indicated by
2025-12-04T09:07:30.9340113Z ``mesh_dim_names``
2025-12-04T09:07:30.9340262Z 
2025-12-04T09:07:30.9340338Z Args:
2025-12-04T09:07:30.9340688Z     mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-12-04T09:07:30.9341231Z     mesh dimension of the DeviceMesh to create the submesh for.
2025-12-04T09:07:30.9341602Z Returns:
2025-12-04T09:07:30.9341823Z     A :class:`DeviceMesh` object
2025-12-04T09:07:30.9342014Z 
2025-12-04T09:07:30.9342307Z The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-12-04T09:07:30.9342796Z In the first example:
2025-12-04T09:07:30.9343211Z     Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-12-04T09:07:30.9343824Z     Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-12-04T09:07:30.9344419Z     Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-12-04T09:07:30.9344974Z     Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-12-04T09:07:30.9345538Z     Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-12-04T09:07:30.9346097Z     Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-12-04T09:07:30.9346435Z 
2025-12-04T09:07:30.9346527Z In the second example:
2025-12-04T09:07:30.9346953Z     Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-12-04T09:07:30.9347600Z     Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-12-04T09:07:30.9348249Z     Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-12-04T09:07:30.9348878Z     Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-12-04T09:07:30.9349273Z 
2025-12-04T09:07:30.9349387Z Example::
2025-12-04T09:07:30.9349503Z 
2025-12-04T09:07:30.9349615Z     >>> # xdoctest: +SKIP("no rank")
2025-12-04T09:07:30.9350015Z     >>> from torch.distributed.device_mesh import DeviceMesh
2025-12-04T09:07:30.9350373Z     >>>
2025-12-04T09:07:30.9350689Z     >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-12-04T09:07:30.9351146Z     >>> # of cross-host(dim 0), and within-host (dim 1).
2025-12-04T09:07:30.9351640Z     >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T09:07:30.9352114Z     >>> tp_mesh = mesh_2d["tp"]
2025-12-04T09:07:30.9352398Z     >>> dp_mesh = mesh_2d["dp"]
2025-12-04T09:07:30.9352663Z     >>>
2025-12-04T09:07:30.9352864Z     >>> # Initialize a 3D mesh.
2025-12-04T09:07:30.9353326Z     >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-12-04T09:07:30.9354147Z     >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-12-04T09:07:30.9354669Z     >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-12-04T09:07:30.9354995Z     >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-12-04T09:07:30.9355205Z 
2025-12-04T09:07:30.9355903Z Original Error: SyntaxError('positional argument follows keyword argument', ('<source_block>', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83))
2025-12-04T09:07:30.9356703Z 
2025-12-04T09:07:30.9356958Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T09:07:30.9357432Z                                                                                  ^
2025-12-04T09:07:31.4447100Z 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.
2025-12-04T09:07:31.4448114Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:31.4448494Z 
2025-12-04T09:07:31.4448792Z Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-12-04T09:07:31.4449196Z 
2025-12-04T09:07:31.4449498Z SavePlanners are stateful objects that can be used to customize the whole save process.
2025-12-04T09:07:31.4449910Z 
2025-12-04T09:07:31.4450182Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T09:07:31.4450693Z will be visible to the whole process.
2025-12-04T09:07:31.4450903Z 
2025-12-04T09:07:31.4451187Z A planner subclass can expect the following sequence of calls during save_state_dict:
2025-12-04T09:07:31.4451581Z 
2025-12-04T09:07:31.4451715Z 1) set_up_planner - called on all ranks.
2025-12-04T09:07:31.4452052Z     Signals the start of a checkpoint save.
2025-12-04T09:07:31.4452287Z 
2025-12-04T09:07:31.4452405Z 2) create_local_plan - called on all ranks.
2025-12-04T09:07:31.4452918Z     Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-12-04T09:07:31.4453326Z 
2025-12-04T09:07:31.4453519Z 3) create_global_plan - called on the coordinator rank only.
2025-12-04T09:07:31.4453993Z     Takes the SavePlan from all ranks and make any global decision.
2025-12-04T09:07:31.4454313Z 
2025-12-04T09:07:31.4454422Z 4) finish_plan - called on all ranks.
2025-12-04T09:07:31.4454850Z     This gives each rank a chance to adjust to global planning decisions.
2025-12-04T09:07:31.4455180Z 
2025-12-04T09:07:31.4455327Z 5) resolve_data - called multiple times on each rank
2025-12-04T09:07:31.4455794Z     Lookups a value on the `state_dict` for the storage layer to write.
2025-12-04T09:07:31.4456122Z 
2025-12-04T09:07:31.4456422Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-12-04T09:07:31.4457033Z most changes can be expressed by changes in a single method.
2025-12-04T09:07:31.4457328Z 
2025-12-04T09:07:31.4457444Z There are 3 usual patterns of extension:
2025-12-04T09:07:31.4457681Z 
2025-12-04T09:07:31.4457931Z Rewriting state_dict. This is the simplest way to extend the save process as it
2025-12-04T09:07:31.4458532Z doesn't requite understanding the intrincacies of how SavePlan works:
2025-12-04T09:07:31.4458874Z 
2025-12-04T09:07:31.4458995Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:07:31.4459332Z >>> class RenamePlanner(DefaultSavePlanner):
2025-12-04T09:07:31.4459669Z >>>     def set_up_planner(
2025-12-04T09:07:31.4459929Z >>>         self,
2025-12-04T09:07:31.4460163Z >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T09:07:31.4460502Z >>>         storage_meta: Optional[StorageMeta],
2025-12-04T09:07:31.4460840Z >>>         is_coordinator: bool,
2025-12-04T09:07:31.4461110Z >>>     ) -> None:
2025-12-04T09:07:31.4461354Z >>> # prefix all keys with `foo_``
2025-12-04T09:07:31.4461882Z >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-12-04T09:07:31.4462288Z 
2025-12-04T09:07:31.4462755Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-12-04T09:07:31.4463204Z 
2025-12-04T09:07:31.4463313Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:07:31.4463660Z >>> class FP16Planner(DefaultSavePlanner):
2025-12-04T09:07:31.4463999Z >>>     def create_local_plan(self):
2025-12-04T09:07:31.4464327Z >>>         plan = super().create_local_plan()
2025-12-04T09:07:31.4464642Z >>>         for p in plan:
2025-12-04T09:07:31.4464933Z >>>             if p.tensor_data is not None:
2025-12-04T09:07:31.4465311Z >>>                 p.tensor_data.properties.dtype = torch.float16
2025-12-04T09:07:31.4465660Z >>>         return plan
2025-12-04T09:07:31.4465899Z >>>
2025-12-04T09:07:31.4466120Z >>>     def resolve_data(self, write_item):
2025-12-04T09:07:31.4466511Z >>>         item = super().resolve_data(write_item)
2025-12-04T09:07:31.4467024Z >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-12-04T09:07:31.4467428Z 
2025-12-04T09:07:31.4467766Z Using the global planning step to make central decisions that can't be made individually by each rank
2025-12-04T09:07:31.4468228Z 
2025-12-04T09:07:31.4468349Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:07:31.4468664Z >>> from itertools import zip_longest
2025-12-04T09:07:31.4468984Z >>> from dataclasses import replace
2025-12-04T09:07:31.4469355Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-12-04T09:07:31.4469891Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-12-04T09:07:31.4470412Z >>> # This sample doesn't handle ShardedTensors
2025-12-04T09:07:31.4470775Z >>>     def create_global_plan(self, all_plans):
2025-12-04T09:07:31.4471158Z >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-12-04T09:07:31.4471508Z >>>         items_per_rank = [
2025-12-04T09:07:31.4471824Z >>>             [item for item in items if item is not None]
2025-12-04T09:07:31.4472227Z >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-12-04T09:07:31.4472574Z >>>         ]
2025-12-04T09:07:31.4472792Z >>>         all_plans = [
2025-12-04T09:07:31.4473073Z >>>             replace(plan, items=items)
2025-12-04T09:07:31.4473474Z >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-12-04T09:07:31.4473892Z >>>         ]
2025-12-04T09:07:31.4474228Z >>>         return super().create_global_plan(all_plans)
2025-12-04T09:07:31.4474479Z 
2025-12-04T09:07:31.4474791Z Finally, some planners need to save additional metadata in the checkpoint, this is
2025-12-04T09:07:31.4475477Z accomplished by having each rank contribute their data items in the local plan and
2025-12-04T09:07:31.4475983Z the global planner aggregate them:
2025-12-04T09:07:31.4476188Z 
2025-12-04T09:07:31.4476313Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:07:31.4476671Z >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-12-04T09:07:31.4477069Z >>>     def create_local_plan(self) -> SavePlan:
2025-12-04T09:07:31.4477428Z >>>         plan = super().create_local_plan()
2025-12-04T09:07:31.4477814Z >>>         return replace(plan, planner_data="per-rank-data")
2025-12-04T09:07:31.4478157Z >>>
2025-12-04T09:07:31.4478567Z >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-12-04T09:07:31.4479181Z >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-12-04T09:07:31.4479639Z >>>         merged_data = [p.planner_data for p in global_plan]
2025-12-04T09:07:31.4480080Z >>>         metadata = replace(metadata, planner_data=merged_data)
2025-12-04T09:07:31.4480472Z >>>         return global_plan, metadata
2025-12-04T09:07:31.4480684Z 
2025-12-04T09:07:31.4481230Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-12-04T09:07:31.4481878Z 
2025-12-04T09:07:31.4481959Z _._ = None
2025-12-04T09:07:31.4482158Z ^
2025-12-04T09:07:31.4482995Z 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.
2025-12-04T09:07:31.4483963Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:31.4484327Z 
2025-12-04T09:07:31.4484609Z Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-12-04T09:07:31.4485030Z 
2025-12-04T09:07:31.4485318Z LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-12-04T09:07:31.4485739Z 
2025-12-04T09:07:31.4486016Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T09:07:31.4486532Z will be visible to the whole process.
2025-12-04T09:07:31.4486741Z 
2025-12-04T09:07:31.4487201Z A planner subclass can expect the following sequence of calls during load_state_dict:
2025-12-04T09:07:31.4487616Z 
2025-12-04T09:07:31.4487731Z 1) set_up_planner - called on all ranks.
2025-12-04T09:07:31.4488091Z     Signals the start of loading a checkpoint.
2025-12-04T09:07:31.4488324Z 
2025-12-04T09:07:31.4488457Z 2) create_local_plan - called on all ranks.
2025-12-04T09:07:31.4488958Z     Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-12-04T09:07:31.4489371Z 
2025-12-04T09:07:31.4489549Z 3) create_global_plan - called on the coordinator rank only.
2025-12-04T09:07:31.4490037Z     Takes the LoadPlan from all ranks and make any global decision.
2025-12-04T09:07:31.4490343Z 
2025-12-04T09:07:31.4490495Z 4) load_bytes - called multiple times on each rank
2025-12-04T09:07:31.4490907Z     This is called once per non-tensor value in state_dict.
2025-12-04T09:07:31.4491192Z 
2025-12-04T09:07:31.4491418Z 5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-12-04T09:07:31.4491939Z     They are called in pair for each Tensor value in state_dict.
2025-12-04T09:07:31.4492225Z 
2025-12-04T09:07:31.4492533Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-12-04T09:07:31.4493134Z most changes can be expressed by changes in a single method.
2025-12-04T09:07:31.4493435Z 
2025-12-04T09:07:31.4493557Z There are two usual patterns of extension:
2025-12-04T09:07:31.4493783Z 
2025-12-04T09:07:31.4494045Z Rewriting state_dict. This is the simplest way to extend the load process as it
2025-12-04T09:07:31.4494687Z doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-12-04T09:07:31.4495293Z to keep a reference to the original state_dict as load happens in place so
2025-12-04T09:07:31.4495766Z we need to be able to perform it in place
2025-12-04T09:07:31.4495995Z 
2025-12-04T09:07:31.4496104Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:07:31.4496461Z >>> class RenamePlanner(DefaultLoadPlanner):
2025-12-04T09:07:31.4497238Z >>>     def set_up_planner(
2025-12-04T09:07:31.4497492Z >>>         self,
2025-12-04T09:07:31.4497739Z >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T09:07:31.4498067Z >>>         metadata: Metadata,
2025-12-04T09:07:31.4498362Z >>>         is_coordinator: bool,
2025-12-04T09:07:31.4498637Z >>>     ) -> None:
2025-12-04T09:07:31.4498904Z >>>         self.original_state_dict = state_dict
2025-12-04T09:07:31.4499317Z >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-12-04T09:07:31.4499679Z >>>
2025-12-04T09:07:31.4499910Z >>>         if self.flatten_sharded_tensors:
2025-12-04T09:07:31.4500286Z >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-12-04T09:07:31.4500620Z >>>
2025-12-04T09:07:31.4500836Z >>>         if self.flatten_state_dict:
2025-12-04T09:07:31.4501235Z >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-12-04T09:07:31.4501605Z >>>
2025-12-04T09:07:31.4501824Z >>>         self.state_dict = state_dict
2025-12-04T09:07:31.4502143Z >>>         self.metadata = metadata
2025-12-04T09:07:31.4502470Z >>>         self.is_coordinator = is_coordinator
2025-12-04T09:07:31.4502901Z >>>
2025-12-04T09:07:31.4503130Z >>>     def load_bytes(self, read_item, value):
2025-12-04T09:07:31.4503461Z >>> # Remove the "foo_" prefix
2025-12-04T09:07:31.4503950Z >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-12-04T09:07:31.4504395Z 
2025-12-04T09:07:31.4504400Z 
2025-12-04T09:07:31.4504657Z Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-12-04T09:07:31.4505046Z 
2025-12-04T09:07:31.4505154Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:07:31.4505523Z >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-12-04T09:07:31.4505894Z >>>     def resolve_tensor(self, read_item):
2025-12-04T09:07:31.4506251Z >>>         tensor = super().resolve_tensor(read_item)
2025-12-04T09:07:31.4506727Z >>>         return torch.empty_like(tensor, device="cpu")
2025-12-04T09:07:31.4507053Z >>>
2025-12-04T09:07:31.4507290Z >>>     def commit_tensor(self, read_item, tensor):
2025-12-04T09:07:31.4507693Z >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-12-04T09:07:31.4507958Z 
2025-12-04T09:07:31.4508501Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-12-04T09:07:31.4509166Z 
2025-12-04T09:07:31.4509247Z _._ = None
2025-12-04T09:07:31.4509450Z ^
2025-12-04T09:07:31.9424522Z 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.
2025-12-04T09:07:31.9425510Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:31.9425891Z 
2025-12-04T09:07:31.9426095Z ``FullStateDictConfig`` is a config class meant to be used with
2025-12-04T09:07:31.9426642Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-12-04T09:07:31.9427157Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-12-04T09:07:31.9427685Z dicts to save GPU memory and CPU memory, respectively. This config class
2025-12-04T09:07:31.9428235Z is meant to be used via the :func:`state_dict_type` context manager as
2025-12-04T09:07:31.9428635Z follows:
2025-12-04T09:07:31.9428749Z 
2025-12-04T09:07:31.9428871Z     >>> # xdoctest: +SKIP("undefined variables")
2025-12-04T09:07:31.9429340Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-12-04T09:07:31.9429823Z     >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-12-04T09:07:31.9430262Z     >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-12-04T09:07:31.9430792Z     >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-12-04T09:07:31.9431241Z     >>>     state = fsdp.state_dict()
2025-12-04T09:07:31.9431667Z     >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-12-04T09:07:31.9432225Z     >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-12-04T09:07:31.9432814Z     >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-12-04T09:07:31.9433278Z     >>> if dist.get_rank() == 0:
2025-12-04T09:07:31.9433641Z     >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-12-04T09:07:31.9434076Z     >>>     state_dict = torch.load("my_checkpoint.pt")
2025-12-04T09:07:31.9434444Z     >>>     model.load_state_dict(state_dict)
2025-12-04T09:07:31.9434904Z     >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-12-04T09:07:31.9435488Z     >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-12-04T09:07:31.9435942Z     >>> fsdp = FSDP(
2025-12-04T09:07:31.9436174Z     ...     model,
2025-12-04T09:07:31.9436429Z     ...     device_id=torch.cuda.current_device(),
2025-12-04T09:07:31.9436781Z     ...     auto_wrap_policy=...,
2025-12-04T09:07:31.9437077Z     ...     sync_module_states=True,
2025-12-04T09:07:31.9437352Z     ... )
2025-12-04T09:07:31.9437680Z     >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-12-04T09:07:31.9438265Z 
2025-12-04T09:07:31.9438350Z Attributes:
2025-12-04T09:07:31.9438676Z     rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-12-04T09:07:31.9439184Z         dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-12-04T09:07:31.9439663Z         ranks save the full state dict. (Default: ``False``)
2025-12-04T09:07:31.9439928Z 
2025-12-04T09:07:31.9440441Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-12-04T09:07:31.9441054Z 
2025-12-04T09:07:31.9441148Z _._ = None
2025-12-04T09:07:31.9441332Z ^
2025-12-04T09:07:34.7344416Z 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.
2025-12-04T09:07:34.7345458Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:34.7345984Z Register a parametrization to a tensor in a module.
2025-12-04T09:07:34.7346261Z 
2025-12-04T09:07:34.7346533Z     Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-12-04T09:07:34.7347208Z     the module will return the parametrized version ``parametrization(module.weight)``.
2025-12-04T09:07:34.7347865Z     If the original tensor requires a gradient, the backward pass will differentiate
2025-12-04T09:07:34.7355598Z     through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-12-04T09:07:34.7356040Z 
2025-12-04T09:07:34.7356376Z     The first time that a module registers a parametrization, this function will add an attribute
2025-12-04T09:07:34.7357057Z     ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-12-04T09:07:34.7357449Z 
2025-12-04T09:07:34.7357704Z     The list of parametrizations on the tensor ``weight`` will be accessible under
2025-12-04T09:07:34.7358208Z     ``module.parametrizations.weight``.
2025-12-04T09:07:34.7358447Z 
2025-12-04T09:07:34.7358595Z     The original tensor will be accessible under
2025-12-04T09:07:34.7358977Z     ``module.parametrizations.weight.original``.
2025-12-04T09:07:34.7359243Z 
2025-12-04T09:07:34.7359505Z     Parametrizations may be concatenated by registering several parametrizations
2025-12-04T09:07:34.7359991Z     on the same attribute.
2025-12-04T09:07:34.7360160Z 
2025-12-04T09:07:34.7360417Z     The training mode of a registered parametrization is updated on registration
2025-12-04T09:07:34.7360903Z     to match the training mode of the host module
2025-12-04T09:07:34.7361159Z 
2025-12-04T09:07:34.7361464Z     Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-12-04T09:07:34.7362019Z     using the context manager :func:`cached`.
2025-12-04T09:07:34.7362254Z 
2025-12-04T09:07:34.7362495Z     A :attr:`parametrization` may optionally implement a method with signature
2025-12-04T09:07:34.7362869Z 
2025-12-04T09:07:34.7364395Z     .. code-block:: python
2025-12-04T09:07:34.7364590Z 
2025-12-04T09:07:34.7364815Z         def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-12-04T09:07:34.7365149Z 
2025-12-04T09:07:34.7365422Z     This method is called on the unparametrized tensor when the first parametrization
2025-12-04T09:07:34.7366010Z     is registered to compute the initial value of the original tensor.
2025-12-04T09:07:34.7366650Z     If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-12-04T09:07:34.7367177Z 
2025-12-04T09:07:34.7367494Z     If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-12-04T09:07:34.7368224Z     to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-12-04T09:07:34.7368646Z 
2025-12-04T09:07:34.7368876Z     It is possible for the first parametrization to depend on several inputs.
2025-12-04T09:07:34.7369465Z     This may be implemented returning a tuple of tensors from ``right_inverse``
2025-12-04T09:07:34.7370223Z     (see the example implementation of a ``RankOne`` parametrization below).
2025-12-04T09:07:34.7370572Z 
2025-12-04T09:07:34.7370918Z     In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-12-04T09:07:34.7371491Z     with names ``original0``, ``original1``,...
2025-12-04T09:07:34.7371738Z 
2025-12-04T09:07:34.7371832Z     .. note::
2025-12-04T09:07:34.7371958Z 
2025-12-04T09:07:34.7372235Z         If unsafe=False (default) both the forward and right_inverse methods will be called
2025-12-04T09:07:34.7372774Z         once to perform a number of consistency checks.
2025-12-04T09:07:34.7373287Z         If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-12-04T09:07:34.7373869Z         and nothing will be called otherwise.
2025-12-04T09:07:34.7374096Z 
2025-12-04T09:07:34.7374194Z     .. note::
2025-12-04T09:07:34.7374316Z 
2025-12-04T09:07:34.7374521Z         In most situations, ``right_inverse`` will be a function such that
2025-12-04T09:07:34.7374967Z         ``forward(right_inverse(X)) == X`` (see
2025-12-04T09:07:34.7375491Z         `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-12-04T09:07:34.7376149Z         Sometimes, when the parametrization is not surjective, it may be reasonable
2025-12-04T09:07:34.7376607Z         to relax this.
2025-12-04T09:07:34.7376772Z 
2025-12-04T09:07:34.7376858Z     .. warning::
2025-12-04T09:07:34.7376992Z 
2025-12-04T09:07:34.7377278Z         If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-12-04T09:07:34.7377926Z         will register a number of new parameters. If such parametrization is registered
2025-12-04T09:07:34.7378617Z         after the optimizer is created, these new parameters will need to be added manually
2025-12-04T09:07:34.7379214Z         to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-12-04T09:07:34.7379542Z 
2025-12-04T09:07:34.7379625Z     Args:
2025-12-04T09:07:34.7379947Z         module (nn.Module): module on which to register the parametrization
2025-12-04T09:07:34.7380490Z         tensor_name (str): name of the parameter or buffer on which to register
2025-12-04T09:07:34.7380935Z             the parametrization
2025-12-04T09:07:34.7381330Z         parametrization (nn.Module): the parametrization to register
2025-12-04T09:07:34.7381742Z     Keyword args:
2025-12-04T09:07:34.7382090Z         unsafe (bool): a boolean flag that denotes whether the parametrization
2025-12-04T09:07:34.7382620Z             may change the dtype and shape of the tensor. Default: `False`
2025-12-04T09:07:34.7383201Z             Warning: the parametrization is not checked for consistency upon registration.
2025-12-04T09:07:34.7383702Z             Enable this flag at your own risk.
2025-12-04T09:07:34.7383939Z 
2025-12-04T09:07:34.7384018Z     Raises:
2025-12-04T09:07:34.7384434Z         ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-12-04T09:07:34.7384839Z 
2025-12-04T09:07:34.7384936Z     Examples:
2025-12-04T09:07:34.7385202Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-12-04T09:07:34.7385557Z         >>> import torch
2025-12-04T09:07:34.7385824Z         >>> import torch.nn as nn
2025-12-04T09:07:34.7386145Z         >>> import torch.nn.utils.parametrize as P
2025-12-04T09:07:34.7386474Z         >>>
2025-12-04T09:07:34.7386697Z         >>> class Symmetric(nn.Module):
2025-12-04T09:07:34.7386997Z         >>>     def forward(self, X):
2025-12-04T09:07:34.7387376Z         >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-12-04T09:07:34.7387749Z         >>>
2025-12-04T09:07:34.7387966Z         >>>     def right_inverse(self, A):
2025-12-04T09:07:34.7388288Z         >>>         return A.triu()
2025-12-04T09:07:34.7388564Z         >>>
2025-12-04T09:07:34.7388777Z         >>> m = nn.Linear(5, 5)
2025-12-04T09:07:34.7389112Z         >>> P.register_parametrization(m, "weight", Symmetric())
2025-12-04T09:07:34.7389707Z         >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-12-04T09:07:34.7390153Z         True
2025-12-04T09:07:34.7390365Z         >>> A = torch.rand(5, 5)
2025-12-04T09:07:34.7390666Z         >>> A = A + A.T  # A is now symmetric
2025-12-04T09:07:34.7391087Z         >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-12-04T09:07:34.7391518Z         >>> print(torch.allclose(m.weight, A))
2025-12-04T09:07:34.7391835Z         True
2025-12-04T09:07:34.7391955Z 
2025-12-04T09:07:34.7392068Z         >>> class RankOne(nn.Module):
2025-12-04T09:07:34.7392379Z         >>>     def forward(self, x, y):
2025-12-04T09:07:34.7392720Z         >>> # Form a rank 1 matrix multiplying two vectors
2025-12-04T09:07:34.7393169Z         >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-12-04T09:07:34.7393499Z         >>>
2025-12-04T09:07:34.7393718Z         >>>     def right_inverse(self, Z):
2025-12-04T09:07:34.7394057Z         >>> # Project Z onto the rank 1 matrices
2025-12-04T09:07:34.7394440Z         >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-12-04T09:07:34.7394818Z         >>> # Return rescaled singular vectors
2025-12-04T09:07:34.7395170Z         >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-12-04T09:07:34.7395551Z         >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-12-04T09:07:34.7395907Z         >>>
2025-12-04T09:07:34.7396160Z         >>> linear_rank_one = P.register_parametrization(
2025-12-04T09:07:34.7396737Z         ...     nn.Linear(4, 4), "weight", RankOne()
2025-12-04T09:07:34.7397067Z         ... )
2025-12-04T09:07:34.7397386Z         >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-12-04T09:07:34.7397802Z         1
2025-12-04T09:07:34.7397915Z 
2025-12-04T09:07:34.7398008Z     
2025-12-04T09:07:34.7398646Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-12-04T09:07:34.7399304Z 
2025-12-04T09:07:34.7399384Z _._ = None
2025-12-04T09:07:34.7399587Z ^
2025-12-04T09:07:34.8803897Z 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.
2025-12-04T09:07:34.8804873Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:34.8805412Z Reduce learning rate when a metric has stopped improving.
2025-12-04T09:07:34.8805718Z 
2025-12-04T09:07:34.8805919Z     Models often benefit from reducing the learning rate by a factor
2025-12-04T09:07:34.8806429Z     of 2-10 once learning stagnates. This scheduler reads a metrics
2025-12-04T09:07:34.8806946Z     quantity and if no improvement is seen for a 'patience' number
2025-12-04T09:07:34.8807435Z     of epochs, the learning rate is reduced.
2025-12-04T09:07:34.8807676Z 
2025-12-04T09:07:34.8807757Z     Args:
2025-12-04T09:07:34.8808053Z         optimizer (Optimizer): Wrapped optimizer.
2025-12-04T09:07:34.8808458Z         mode (str): One of `min`, `max`. In `min` mode, lr will
2025-12-04T09:07:34.8808871Z             be reduced when the quantity monitored has stopped
2025-12-04T09:07:34.8809300Z             decreasing; in `max` mode it will be reduced when the
2025-12-04T09:07:34.8809770Z             quantity monitored has stopped increasing. Default: 'min'.
2025-12-04T09:07:34.8810236Z         factor (float): Factor by which the learning rate will be
2025-12-04T09:07:34.8810660Z             reduced. new_lr = lr * factor. Default: 0.1.
2025-12-04T09:07:34.8811125Z         patience (int): The number of allowed epochs with no improvement after
2025-12-04T09:07:34.8811591Z             which the learning rate will be reduced.
2025-12-04T09:07:34.8812054Z             For example, consider the case of having no patience (`patience = 0`).
2025-12-04T09:07:34.8812767Z             In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-12-04T09:07:34.8813678Z             In the second epoch, if the performance is worse than the baseline,
2025-12-04T09:07:34.8814141Z             we have what is considered an intolerable epoch.
2025-12-04T09:07:34.8814671Z             Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-12-04T09:07:34.8815226Z             the learning rate is reduced at the end of this epoch.
2025-12-04T09:07:34.8815828Z             From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-12-04T09:07:34.8816577Z             if the performance is worse than the baseline. If the performance improves or remains the same,
2025-12-04T09:07:34.8817133Z             the learning rate is not adjusted.
2025-12-04T09:07:34.8817543Z             Default: 10.
2025-12-04T09:07:34.8817882Z         threshold (float): Threshold for measuring the new optimum,
2025-12-04T09:07:34.8818344Z             to only focus on significant changes. Default: 1e-4.
2025-12-04T09:07:34.8818795Z         threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-12-04T09:07:34.8819249Z             dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-12-04T09:07:34.8819664Z             mode or best * ( 1 - threshold ) in `min` mode.
2025-12-04T09:07:34.8820076Z             In `abs` mode, dynamic_threshold = best + threshold in
2025-12-04T09:07:34.8820529Z             `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-12-04T09:07:34.8820986Z         cooldown (int): Number of epochs to wait before resuming
2025-12-04T09:07:34.8821451Z             normal operation after lr has been reduced. Default: 0.
2025-12-04T09:07:34.8821907Z         min_lr (float or list): A scalar or a list of scalars. A
2025-12-04T09:07:34.8822351Z             lower bound on the learning rate of all param groups
2025-12-04T09:07:34.8822748Z             or each group respectively. Default: 0.
2025-12-04T09:07:34.8823168Z         eps (float): Minimal decay applied to lr. If the difference
2025-12-04T09:07:34.8823640Z             between new and old lr is smaller than eps, the update is
2025-12-04T09:07:34.8824031Z             ignored. Default: 1e-8.
2025-12-04T09:07:34.8824242Z 
2025-12-04T09:07:34.8824326Z     Example:
2025-12-04T09:07:34.8824552Z         >>> # xdoctest: +SKIP
2025-12-04T09:07:34.8824950Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-12-04T09:07:34.8825453Z         >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-12-04T09:07:34.8825826Z         >>> for epoch in range(10):
2025-12-04T09:07:34.8826123Z         >>>     train(...)
2025-12-04T09:07:34.8826384Z         >>>     val_loss = validate(...)
2025-12-04T09:07:34.8826747Z         >>> # Note that step should be called after validate()
2025-12-04T09:07:34.8827130Z         >>>     scheduler.step(val_loss)
2025-12-04T09:07:34.8827343Z 
2025-12-04T09:07:34.8827576Z     .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-12-04T09:07:34.8827966Z     
2025-12-04T09:07:34.8828491Z Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-12-04T09:07:34.8829022Z 
2025-12-04T09:07:34.8829136Z     scheduler.step(val_loss)
2025-12-04T09:07:34.8829386Z    ^
2025-12-04T09:07:38.6982391Z running 894 test(s)
2025-12-04T09:07:38.6988518Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file
2025-12-04T09:07:38.7001992Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0
2025-12-04T09:07:38.7003143Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file
2025-12-04T09:07:38.7008550Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0
2025-12-04T09:07:38.7009679Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file
2025-12-04T09:07:38.7021022Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0
2025-12-04T09:07:38.7022196Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file
2025-12-04T09:07:38.7024937Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0
2025-12-04T09:07:38.7026169Z * 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
2025-12-04T09:07:38.7027711Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0
2025-12-04T09:07:38.7028941Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file
2025-12-04T09:07:38.7033037Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0
2025-12-04T09:07:38.7034324Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file
2025-12-04T09:07:38.7035762Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0
2025-12-04T09:07:38.7037042Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file
2025-12-04T09:07:38.7038167Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0
2025-12-04T09:07:38.7039410Z * 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
2025-12-04T09:07:38.7040901Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0
2025-12-04T09:07:38.7042317Z * 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
2025-12-04T09:07:38.7043835Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0
2025-12-04T09:07:38.7045316Z * 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
2025-12-04T09:07:38.7046717Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0
2025-12-04T09:07:38.7048017Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file
2025-12-04T09:07:38.7049182Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0
2025-12-04T09:07:38.7050285Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file
2025-12-04T09:07:38.7051485Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0
2025-12-04T09:07:38.7052616Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file
2025-12-04T09:07:38.7636323Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0
2025-12-04T09:07:38.7637745Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file
2025-12-04T09:07:38.7639329Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0
2025-12-04T09:07:38.7640576Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file
2025-12-04T09:07:38.7729465Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0
2025-12-04T09:07:38.7730790Z * 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
2025-12-04T09:07:38.7817340Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0
2025-12-04T09:07:38.7818643Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file
2025-12-04T09:07:38.8148662Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0
2025-12-04T09:07:38.8169202Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file
2025-12-04T09:07:38.8185329Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0
2025-12-04T09:07:38.8186489Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file
2025-12-04T09:07:38.8244046Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0
2025-12-04T09:07:38.8245248Z * 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
2025-12-04T09:07:38.8592625Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0
2025-12-04T09:07:38.8594863Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file
2025-12-04T09:07:38.8623176Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0
2025-12-04T09:07:38.8625345Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file
2025-12-04T09:07:38.8697174Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0
2025-12-04T09:07:38.8699457Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file
2025-12-04T09:07:38.8746911Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0
2025-12-04T09:07:38.8749127Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file
2025-12-04T09:07:38.8752417Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0
2025-12-04T09:07:38.8754522Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0, line 144 <- wrt source file
2025-12-04T09:07:38.8781720Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0
2025-12-04T09:07:38.8783735Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file
2025-12-04T09:07:38.8926002Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0
2025-12-04T09:07:38.8929541Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file
2025-12-04T09:07:38.9090248Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0
2025-12-04T09:07:38.9092321Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file
2025-12-04T09:07:38.9338669Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0
2025-12-04T09:07:38.9341102Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file
2025-12-04T09:07:38.9367527Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0
2025-12-04T09:07:38.9369939Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file
2025-12-04T09:07:38.9508094Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0
2025-12-04T09:07:38.9510379Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file
2025-12-04T09:07:38.9525853Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0
2025-12-04T09:07:38.9528106Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file
2025-12-04T09:07:38.9556921Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0
2025-12-04T09:07:38.9559077Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file
2025-12-04T09:07:38.9618838Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0
2025-12-04T09:07:38.9621016Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file
2025-12-04T09:07:38.9666559Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0
2025-12-04T09:07:38.9668772Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file
2025-12-04T09:07:38.9717225Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0
2025-12-04T09:07:38.9719457Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file
2025-12-04T09:07:38.9778779Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0
2025-12-04T09:07:38.9780946Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file
2025-12-04T09:07:38.9940697Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0
2025-12-04T09:07:38.9942904Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file
2025-12-04T09:07:39.0044033Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0
2025-12-04T09:07:39.0046319Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file
2025-12-04T09:07:39.0048738Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0
2025-12-04T09:07:39.0051237Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file
2025-12-04T09:07:39.0053475Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0
2025-12-04T09:07:39.0055518Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0, line 477 <- wrt source file
2025-12-04T09:07:39.0057481Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0
2025-12-04T09:07:39.0059431Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0, line 537 <- wrt source file
2025-12-04T09:07:39.0061547Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0
2025-12-04T09:07:39.0063479Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0, line 628 <- wrt source file
2025-12-04T09:07:39.0065462Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0
2025-12-04T09:07:39.0067468Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file
2025-12-04T09:07:39.0069554Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0
2025-12-04T09:07:39.0071695Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0, line 711 <- wrt source file
2025-12-04T09:07:39.0073957Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0
2025-12-04T09:07:39.0076239Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0, line 852 <- wrt source file
2025-12-04T09:07:39.0078596Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0
2025-12-04T09:07:39.0080864Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file
2025-12-04T09:07:39.0083102Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0
2025-12-04T09:07:39.0085489Z * 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
2025-12-04T09:07:39.0088153Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0
2025-12-04T09:07:39.0090543Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file
2025-12-04T09:07:39.0092768Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0
2025-12-04T09:07:39.0094891Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0, line 521 <- wrt source file
2025-12-04T09:07:39.0231357Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0
2025-12-04T09:07:39.0233386Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0, line 627 <- wrt source file
2025-12-04T09:07:39.0271076Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0
2025-12-04T09:07:39.0273233Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file
2025-12-04T09:07:39.0275504Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0
2025-12-04T09:07:39.0278011Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file
2025-12-04T09:07:39.0280326Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0
2025-12-04T09:07:39.0282604Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file
2025-12-04T09:07:39.0622584Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0
2025-12-04T09:07:39.0623806Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file
2025-12-04T09:07:39.0747182Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0
2025-12-04T09:07:39.0748369Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file
2025-12-04T09:07:39.1009964Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0
2025-12-04T09:07:39.1011082Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file
2025-12-04T09:07:39.1012188Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0
2025-12-04T09:07:39.1013358Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file
2025-12-04T09:07:39.1020023Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0
2025-12-04T09:07:39.1021256Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file
2025-12-04T09:07:39.1068616Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0
2025-12-04T09:07:39.1069850Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file
2025-12-04T09:07:39.1074025Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0
2025-12-04T09:07:39.1075247Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file
2025-12-04T09:07:39.1079120Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0
2025-12-04T09:07:39.1080404Z * 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
2025-12-04T09:07:39.1122501Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0
2025-12-04T09:07:39.1123748Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file
2025-12-04T09:07:39.1133818Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0
2025-12-04T09:07:39.1135003Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file
2025-12-04T09:07:39.1136211Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0
2025-12-04T09:07:39.1137413Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file
2025-12-04T09:07:39.1138849Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0
2025-12-04T09:07:39.1140064Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file
2025-12-04T09:07:39.1141279Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0
2025-12-04T09:07:39.1142448Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file
2025-12-04T09:07:39.1143624Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0
2025-12-04T09:07:39.1144955Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file
2025-12-04T09:07:39.1148283Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0
2025-12-04T09:07:39.1149459Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file
2025-12-04T09:07:39.1150601Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0
2025-12-04T09:07:39.1151711Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file
2025-12-04T09:07:39.1157326Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0
2025-12-04T09:07:39.1158489Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file
2025-12-04T09:07:39.1159703Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0
2025-12-04T09:07:39.1160920Z * 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
2025-12-04T09:07:39.1162477Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0
2025-12-04T09:07:39.1163715Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file
2025-12-04T09:07:39.1180955Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0
2025-12-04T09:07:39.1182321Z * 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
2025-12-04T09:07:39.1189485Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0
2025-12-04T09:07:39.1190876Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file
2025-12-04T09:07:39.1199683Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0
2025-12-04T09:07:39.1201024Z * 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
2025-12-04T09:07:39.1202400Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0
2025-12-04T09:07:39.1203687Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file
2025-12-04T09:07:39.1205097Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0
2025-12-04T09:07:39.1206334Z * 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
2025-12-04T09:07:39.1207659Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0
2025-12-04T09:07:39.1208908Z * 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
2025-12-04T09:07:39.6093996Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0
2025-12-04T09:07:39.6095562Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file
2025-12-04T09:07:39.6097076Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0
2025-12-04T09:07:39.6098298Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file
2025-12-04T09:07:39.6099943Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0
2025-12-04T09:07:39.6101197Z * 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
2025-12-04T09:07:39.6104747Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0
2025-12-04T09:07:39.6105995Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file
2025-12-04T09:07:39.6108907Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0
2025-12-04T09:07:39.6110190Z * 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
2025-12-04T09:07:39.6111684Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0
2025-12-04T09:07:39.6113124Z * 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
2025-12-04T09:07:39.6114593Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0
2025-12-04T09:07:39.6115999Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file
2025-12-04T09:07:39.6117313Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0
2025-12-04T09:07:39.6118490Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file
2025-12-04T09:07:39.6119683Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0
2025-12-04T09:07:39.6120842Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file
2025-12-04T09:07:39.6122047Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0
2025-12-04T09:07:39.6123303Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file
2025-12-04T09:07:39.6124731Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0
2025-12-04T09:07:39.6126102Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file
2025-12-04T09:07:39.6127409Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0
2025-12-04T09:07:39.6128676Z * 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
2025-12-04T09:07:39.6130037Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0
2025-12-04T09:07:39.6132043Z * 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
2025-12-04T09:07:39.6133341Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0
2025-12-04T09:07:39.6134623Z * 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
2025-12-04T09:07:39.6135942Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0
2025-12-04T09:07:39.6137177Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file
2025-12-04T09:07:39.6138375Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0
2025-12-04T09:07:39.6139531Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file
2025-12-04T09:07:39.6140670Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0
2025-12-04T09:07:39.6141908Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file
2025-12-04T09:07:39.6148537Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0
2025-12-04T09:07:39.6149804Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file
2025-12-04T09:07:39.6151017Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0
2025-12-04T09:07:39.6152236Z * 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
2025-12-04T09:07:39.6328606Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0
2025-12-04T09:07:39.6340308Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file
2025-12-04T09:07:39.6348870Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0
2025-12-04T09:07:39.6351104Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file
2025-12-04T09:07:39.6482963Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0
2025-12-04T09:07:39.6485434Z * 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
2025-12-04T09:07:39.6493872Z W1204 09:07:39.648000 1495 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.
2025-12-04T09:07:39.6535105Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0
2025-12-04T09:07:39.6537606Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file
2025-12-04T09:07:39.6617733Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0
2025-12-04T09:07:39.6620305Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file
2025-12-04T09:07:39.6679753Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0
2025-12-04T09:07:39.6682266Z * 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
2025-12-04T09:07:39.7024102Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0
2025-12-04T09:07:39.7026678Z * 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
2025-12-04T09:07:39.7386861Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0
2025-12-04T09:07:39.7389416Z * 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
2025-12-04T09:07:39.7392117Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0
2025-12-04T09:07:39.7394841Z * 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
2025-12-04T09:07:39.7397945Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0
2025-12-04T09:07:39.7401130Z * 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
2025-12-04T09:07:39.7404589Z * 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
2025-12-04T09:07:39.7407718Z * 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
2025-12-04T09:07:39.7410519Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0
2025-12-04T09:07:39.7413475Z * 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
2025-12-04T09:07:39.7416617Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0
2025-12-04T09:07:39.7419450Z * 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
2025-12-04T09:07:39.7422159Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0
2025-12-04T09:07:39.7424736Z * 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
2025-12-04T09:07:39.8054064Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0
2025-12-04T09:07:39.8056785Z * 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
2025-12-04T09:07:39.8059623Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0
2025-12-04T09:07:39.8062204Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file
2025-12-04T09:07:39.8265789Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0
2025-12-04T09:07:39.8268255Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file
2025-12-04T09:07:39.8497597Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0
2025-12-04T09:07:39.8500067Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file
2025-12-04T09:07:40.1513285Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0
2025-12-04T09:07:40.1514606Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file
2025-12-04T09:07:40.1668696Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0
2025-12-04T09:07:40.1670015Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file
2025-12-04T09:07:40.1720042Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0
2025-12-04T09:07:40.1721389Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file
2025-12-04T09:07:40.1726442Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0
2025-12-04T09:07:40.1727824Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file
2025-12-04T09:07:40.2017379Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0
2025-12-04T09:07:40.2018706Z * 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
2025-12-04T09:07:40.2023976Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0
2025-12-04T09:07:40.2025256Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file
2025-12-04T09:07:40.2026522Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0
2025-12-04T09:07:40.2027938Z * 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
2025-12-04T09:07:40.2029511Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0
2025-12-04T09:07:40.2031311Z * 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
2025-12-04T09:07:40.2032866Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0
2025-12-04T09:07:40.2034347Z * 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
2025-12-04T09:07:40.2035810Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0
2025-12-04T09:07:40.2037380Z * 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
2025-12-04T09:07:40.2038920Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0
2025-12-04T09:07:40.2040243Z * 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
2025-12-04T09:07:40.2041448Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0
2025-12-04T09:07:40.2042731Z * 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
2025-12-04T09:07:40.2044135Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0
2025-12-04T09:07:40.2045389Z * 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
2025-12-04T09:07:40.2046584Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0
2025-12-04T09:07:40.2048063Z * 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
2025-12-04T09:07:40.2049705Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0
2025-12-04T09:07:40.2051096Z * 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
2025-12-04T09:07:40.2052297Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0
2025-12-04T09:07:40.2053550Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file
2025-12-04T09:07:40.2054883Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0
2025-12-04T09:07:40.2056280Z * 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
2025-12-04T09:07:40.2057799Z * 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
2025-12-04T09:07:40.2059237Z * 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
2025-12-04T09:07:40.2060669Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0
2025-12-04T09:07:40.2062052Z * 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
2025-12-04T09:07:40.2063535Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0
2025-12-04T09:07:40.2064889Z * 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
2025-12-04T09:07:40.2066256Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0
2025-12-04T09:07:40.2067733Z * 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
2025-12-04T09:07:40.2069246Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0
2025-12-04T09:07:40.2070757Z * 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
2025-12-04T09:07:40.2072284Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0
2025-12-04T09:07:40.2073836Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0, line 105 <- wrt source file
2025-12-04T09:07:40.2075445Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0
2025-12-04T09:07:40.2076999Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0, line 142 <- wrt source file
2025-12-04T09:07:40.2078554Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0
2025-12-04T09:07:40.2080091Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0, line 179 <- wrt source file
2025-12-04T09:07:40.2081707Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0
2025-12-04T09:07:40.2083305Z * 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
2025-12-04T09:07:40.2084936Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0
2025-12-04T09:07:40.2086316Z * 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
2025-12-04T09:07:40.2569934Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0
2025-12-04T09:07:40.2571279Z * 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
2025-12-04T09:07:40.2716184Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0
2025-12-04T09:07:40.2717631Z * 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
2025-12-04T09:07:40.2719047Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0
2025-12-04T09:07:40.2720676Z * 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
2025-12-04T09:07:40.3057218Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0
2025-12-04T09:07:40.3058624Z * 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
2025-12-04T09:07:40.3353296Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0
2025-12-04T09:07:40.3354874Z * 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
2025-12-04T09:07:40.3356330Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0
2025-12-04T09:07:40.3357752Z * 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
2025-12-04T09:07:40.3359177Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0
2025-12-04T09:07:40.3360573Z * 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
2025-12-04T09:07:40.3482317Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0
2025-12-04T09:07:40.3483653Z * 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
2025-12-04T09:07:40.3492525Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0
2025-12-04T09:07:40.3493746Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file
2025-12-04T09:07:40.3494949Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0
2025-12-04T09:07:40.3496112Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file
2025-12-04T09:07:40.3497497Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0
2025-12-04T09:07:40.3498684Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0, line 460 <- wrt source file
2025-12-04T09:07:40.3499905Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0
2025-12-04T09:07:40.3501119Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file
2025-12-04T09:07:40.3572064Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0
2025-12-04T09:07:40.3573360Z * 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
2025-12-04T09:07:40.3574697Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0
2025-12-04T09:07:40.3576019Z * 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
2025-12-04T09:07:40.3682998Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0
2025-12-04T09:07:40.3684326Z * 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
2025-12-04T09:07:40.3687977Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0
2025-12-04T09:07:40.3689294Z * 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
2025-12-04T09:07:40.3870313Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0
2025-12-04T09:07:40.3871655Z * 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
2025-12-04T09:07:40.3977718Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0
2025-12-04T09:07:40.3979070Z * 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
2025-12-04T09:07:40.4074810Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0
2025-12-04T09:07:40.4076137Z * 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
2025-12-04T09:07:40.4077489Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0
2025-12-04T09:07:40.4078799Z * 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
2025-12-04T09:07:40.4166539Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0
2025-12-04T09:07:40.4167964Z * 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
2025-12-04T09:07:40.4172999Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0
2025-12-04T09:07:40.4174371Z * 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
2025-12-04T09:07:40.4180918Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0
2025-12-04T09:07:40.4182199Z * 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
2025-12-04T09:07:40.4183465Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0
2025-12-04T09:07:40.4184701Z * 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
2025-12-04T09:07:40.4189490Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0
2025-12-04T09:07:40.4190811Z * 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
2025-12-04T09:07:40.4193348Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0
2025-12-04T09:07:40.4194644Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file
2025-12-04T09:07:40.4196060Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0
2025-12-04T09:07:40.4197509Z * 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
2025-12-04T09:07:40.4199018Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0
2025-12-04T09:07:40.4200454Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file
2025-12-04T09:07:40.4201668Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0
2025-12-04T09:07:40.4203018Z * 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
2025-12-04T09:07:40.4204539Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0
2025-12-04T09:07:40.4206126Z * 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
2025-12-04T09:07:40.4207891Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0
2025-12-04T09:07:40.4209509Z * 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
2025-12-04T09:07:40.4211099Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0
2025-12-04T09:07:40.4212696Z * 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
2025-12-04T09:07:40.4214355Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0
2025-12-04T09:07:40.4215949Z * 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
2025-12-04T09:07:40.4217551Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0
2025-12-04T09:07:40.4218981Z * 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
2025-12-04T09:07:40.4369994Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0
2025-12-04T09:07:40.4373786Z * 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
2025-12-04T09:07:40.4461338Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0
2025-12-04T09:07:40.4466126Z * 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
2025-12-04T09:07:40.4467448Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0
2025-12-04T09:07:40.4468734Z * 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
2025-12-04T09:07:40.4470190Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0
2025-12-04T09:07:40.4471477Z * 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
2025-12-04T09:07:40.4472768Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0
2025-12-04T09:07:40.4474083Z * 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
2025-12-04T09:07:40.4476903Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0
2025-12-04T09:07:40.4478274Z * 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
2025-12-04T09:07:40.4484288Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0
2025-12-04T09:07:40.4485706Z * 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
2025-12-04T09:07:40.4487213Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0
2025-12-04T09:07:40.4488620Z * 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
2025-12-04T09:07:40.4490085Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0
2025-12-04T09:07:40.4491495Z * 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
2025-12-04T09:07:40.4492944Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0
2025-12-04T09:07:40.4494401Z * 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
2025-12-04T09:07:40.4495958Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0
2025-12-04T09:07:40.4497597Z * 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
2025-12-04T09:07:40.4499171Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0
2025-12-04T09:07:40.4500696Z * 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
2025-12-04T09:07:40.4502233Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0
2025-12-04T09:07:40.4503713Z * 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
2025-12-04T09:07:40.4505177Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0
2025-12-04T09:07:40.4506584Z * 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
2025-12-04T09:07:40.4507971Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0
2025-12-04T09:07:40.4509479Z * 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
2025-12-04T09:07:40.4510868Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0
2025-12-04T09:07:40.4512264Z * 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
2025-12-04T09:07:40.4513706Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0
2025-12-04T09:07:40.4515192Z * 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
2025-12-04T09:07:40.4516653Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0
2025-12-04T09:07:40.4518066Z * 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
2025-12-04T09:07:40.4519500Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0
2025-12-04T09:07:40.4520870Z * 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
2025-12-04T09:07:40.4522278Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0
2025-12-04T09:07:40.4523617Z * 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
2025-12-04T09:07:40.4524948Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0
2025-12-04T09:07:40.4526253Z * 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
2025-12-04T09:07:40.4527645Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0
2025-12-04T09:07:40.4528948Z * 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
2025-12-04T09:07:40.4530280Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0
2025-12-04T09:07:40.4531651Z * 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
2025-12-04T09:07:40.4533094Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0
2025-12-04T09:07:40.4534523Z * 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
2025-12-04T09:07:40.4535979Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0
2025-12-04T09:07:40.4537401Z * 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
2025-12-04T09:07:40.4538853Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0
2025-12-04T09:07:40.4540268Z * 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
2025-12-04T09:07:40.4583408Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0
2025-12-04T09:07:40.4586438Z * 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
2025-12-04T09:07:40.4605423Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0
2025-12-04T09:07:40.4609388Z * 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
2025-12-04T09:07:40.4613354Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0
2025-12-04T09:07:40.4616489Z * 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
2025-12-04T09:07:40.4619582Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0
2025-12-04T09:07:40.4622379Z * 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
2025-12-04T09:07:40.4625040Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0
2025-12-04T09:07:40.4627581Z * 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
2025-12-04T09:07:40.4630113Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0
2025-12-04T09:07:40.4633243Z * 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
2025-12-04T09:07:40.4662131Z * 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
2025-12-04T09:07:40.4665755Z * 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
2025-12-04T09:07:40.4669315Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0
2025-12-04T09:07:40.4672436Z * 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
2025-12-04T09:07:40.4675306Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0
2025-12-04T09:07:40.4678183Z * 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
2025-12-04T09:07:40.4681199Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0
2025-12-04T09:07:40.4684309Z * 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
2025-12-04T09:07:40.4687594Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0
2025-12-04T09:07:40.4690732Z * 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
2025-12-04T09:07:40.4693446Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0
2025-12-04T09:07:40.4696199Z * 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
2025-12-04T09:07:40.4699264Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0
2025-12-04T09:07:40.4702275Z * 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
2025-12-04T09:07:40.4705283Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0
2025-12-04T09:07:40.4708213Z * 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
2025-12-04T09:07:40.4711176Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0
2025-12-04T09:07:40.4714131Z * 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
2025-12-04T09:07:40.4720994Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0
2025-12-04T09:07:40.4723765Z * 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
2025-12-04T09:07:40.4726369Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0
2025-12-04T09:07:40.4729065Z * 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
2025-12-04T09:07:40.4731847Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0
2025-12-04T09:07:40.4734448Z * 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
2025-12-04T09:07:40.4737030Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0
2025-12-04T09:07:40.4739609Z * 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
2025-12-04T09:07:40.4742267Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0
2025-12-04T09:07:40.4744920Z * 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
2025-12-04T09:07:40.4747654Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0
2025-12-04T09:07:40.4750293Z * 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
2025-12-04T09:07:40.4752938Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0
2025-12-04T09:07:40.4755656Z * 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
2025-12-04T09:07:40.4758750Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0
2025-12-04T09:07:40.4761780Z * 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
2025-12-04T09:07:40.4764953Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0
2025-12-04T09:07:40.4768041Z * 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
2025-12-04T09:07:40.4770801Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0
2025-12-04T09:07:40.4773535Z * 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
2025-12-04T09:07:40.4776373Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0
2025-12-04T09:07:40.4779109Z * 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
2025-12-04T09:07:40.4781859Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0
2025-12-04T09:07:40.4784527Z * 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
2025-12-04T09:07:40.4787187Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0
2025-12-04T09:07:40.4789812Z * 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
2025-12-04T09:07:40.4792506Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0
2025-12-04T09:07:40.4795197Z * 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
2025-12-04T09:07:40.4798081Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0
2025-12-04T09:07:40.4800774Z * 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
2025-12-04T09:07:40.4803478Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0
2025-12-04T09:07:40.4806128Z * 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
2025-12-04T09:07:40.4808850Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0
2025-12-04T09:07:40.4811433Z * 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
2025-12-04T09:07:40.4814077Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0
2025-12-04T09:07:40.4816941Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0, line 216 <- wrt source file
2025-12-04T09:07:40.4820237Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0
2025-12-04T09:07:40.4823274Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file
2025-12-04T09:07:40.4826460Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0
2025-12-04T09:07:40.4829628Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 85 <- wrt source file
2025-12-04T09:07:40.4832687Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0
2025-12-04T09:07:40.4836243Z * 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
2025-12-04T09:07:40.4840329Z * 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
2025-12-04T09:07:40.4844333Z * 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
2025-12-04T09:07:40.4848516Z * 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
2025-12-04T09:07:40.4852550Z * 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
2025-12-04T09:07:40.4856644Z * 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
2025-12-04T09:07:40.4860719Z * 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
2025-12-04T09:07:40.4864933Z * 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
2025-12-04T09:07:40.4868517Z * 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
2025-12-04T09:07:40.4871706Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0
2025-12-04T09:07:40.4874796Z * 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
2025-12-04T09:07:40.4877951Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0
2025-12-04T09:07:40.4880973Z * 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
2025-12-04T09:07:40.4884042Z * 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
2025-12-04T09:07:40.4887339Z * 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
2025-12-04T09:07:40.4890587Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0
2025-12-04T09:07:40.4893422Z * 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
2025-12-04T09:07:40.4896005Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0
2025-12-04T09:07:40.4898718Z * 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
2025-12-04T09:07:40.4901125Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0
2025-12-04T09:07:40.4903520Z * 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
2025-12-04T09:07:40.4905974Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0
2025-12-04T09:07:40.4908371Z * 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
2025-12-04T09:07:40.4910810Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0
2025-12-04T09:07:40.4913398Z * 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
2025-12-04T09:07:40.4916215Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0
2025-12-04T09:07:40.4918995Z * 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
2025-12-04T09:07:40.4921811Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0
2025-12-04T09:07:40.4924503Z * 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
2025-12-04T09:07:40.4927259Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0
2025-12-04T09:07:40.4930038Z * 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
2025-12-04T09:07:40.4933023Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0
2025-12-04T09:07:40.4935916Z * 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
2025-12-04T09:07:40.4938846Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0
2025-12-04T09:07:40.4941424Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0, line 487 <- wrt source file
2025-12-04T09:07:40.4943794Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0
2025-12-04T09:07:40.4946098Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0, line 300 <- wrt source file
2025-12-04T09:07:40.4948588Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0
2025-12-04T09:07:40.4950843Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0, line 402 <- wrt source file
2025-12-04T09:07:40.4953152Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0
2025-12-04T09:07:40.4955476Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0, line 642 <- wrt source file
2025-12-04T09:07:40.4958059Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0
2025-12-04T09:07:40.4960438Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file
2025-12-04T09:07:40.4962824Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0
2025-12-04T09:07:40.4965142Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file
2025-12-04T09:07:40.4967502Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0
2025-12-04T09:07:40.4969783Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file
2025-12-04T09:07:40.4972109Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0
2025-12-04T09:07:40.4974357Z * 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
2025-12-04T09:07:40.4976673Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0
2025-12-04T09:07:40.4979023Z * 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
2025-12-04T09:07:40.4981425Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0
2025-12-04T09:07:40.4983852Z * 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
2025-12-04T09:07:40.4986396Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0
2025-12-04T09:07:40.4988883Z * 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
2025-12-04T09:07:40.4991406Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0
2025-12-04T09:07:40.4993765Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file
2025-12-04T09:07:40.4996076Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0
2025-12-04T09:07:40.4998570Z * 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
2025-12-04T09:07:40.5001095Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0
2025-12-04T09:07:40.5003585Z * 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
2025-12-04T09:07:40.5006160Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0
2025-12-04T09:07:40.5008917Z * 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
2025-12-04T09:07:40.5011442Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0
2025-12-04T09:07:40.5013808Z * 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
2025-12-04T09:07:40.5016154Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0
2025-12-04T09:07:40.5018746Z * 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
2025-12-04T09:07:40.5021448Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0
2025-12-04T09:07:40.5024069Z * 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
2025-12-04T09:07:40.5026729Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0
2025-12-04T09:07:40.5029408Z * 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
2025-12-04T09:07:40.5032209Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0
2025-12-04T09:07:40.5034743Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file
2025-12-04T09:07:40.5037106Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0
2025-12-04T09:07:40.5039521Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0, line 760 <- wrt source file
2025-12-04T09:07:40.5042048Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0
2025-12-04T09:07:40.5044439Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_itt:0, line 899 <- wrt source file
2025-12-04T09:07:40.5046783Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_itt:0
2025-12-04T09:07:40.5049170Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 972 <- wrt source file
2025-12-04T09:07:40.5051562Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_nvtx:0
2025-12-04T09:07:40.5053970Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file
2025-12-04T09:07:40.5056479Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0
2025-12-04T09:07:40.5058827Z * 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
2025-12-04T09:07:40.5061189Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0
2025-12-04T09:07:40.5063536Z * 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
2025-12-04T09:07:40.5065940Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0
2025-12-04T09:07:40.5068261Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file
2025-12-04T09:07:40.5070407Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0
2025-12-04T09:07:40.5072646Z * 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
2025-12-04T09:07:40.5075044Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0
2025-12-04T09:07:40.5077456Z * 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
2025-12-04T09:07:40.5079857Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1
2025-12-04T09:07:40.5082200Z * 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
2025-12-04T09:07:40.5084588Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2
2025-12-04T09:07:40.5087050Z * 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
2025-12-04T09:07:40.5089787Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0
2025-12-04T09:07:40.5092214Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file
2025-12-04T09:07:40.5094486Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0
2025-12-04T09:07:40.5097122Z * 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
2025-12-04T09:07:40.5099955Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0
2025-12-04T09:07:40.5102736Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0, line 142 <- wrt source file
2025-12-04T09:07:40.5105573Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0
2025-12-04T09:07:40.5108376Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0, line 281 <- wrt source file
2025-12-04T09:07:40.5111262Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0
2025-12-04T09:07:40.5113958Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 167 <- wrt source file
2025-12-04T09:07:40.5116512Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0
2025-12-04T09:07:40.5119183Z * 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
2025-12-04T09:07:40.5122053Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0
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2025-12-04T09:07:40.5450037Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/join.py::Join:0
2025-12-04T09:07:40.5452884Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0, line 137 <- wrt source file
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2025-12-04T09:07:40.5478969Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0, line 131 <- wrt source file
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2025-12-04T09:07:40.5485612Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0, line 149 <- wrt source file
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2025-12-04T09:07:40.5492373Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0, line 188 <- wrt source file
2025-12-04T09:07:40.5495761Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0
2025-12-04T09:07:40.5499236Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py::post_localSGD_hook:0, line 91 <- wrt source file
2025-12-04T09:07:40.5502659Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py::post_localSGD_hook:0
2025-12-04T09:07:40.5505943Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::powerSGD_hook:0, line 395 <- wrt source file
2025-12-04T09:07:40.5509206Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::powerSGD_hook:0
2025-12-04T09:07:40.5512480Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::batched_powerSGD_hook:0, line 708 <- wrt source file
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2025-12-04T09:07:40.5519341Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0, line 64 <- wrt source file
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2025-12-04T09:07:40.5527462Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0, line 146 <- wrt source file
2025-12-04T09:07:40.5531171Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0
2025-12-04T09:07:40.5534801Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/averagers.py::PeriodicModelAverager:0, line 56 <- wrt source file
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2025-12-04T09:07:40.5541855Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py::HierarchicalModelAverager:0, line 53 <- wrt source file
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2025-12-04T09:07:40.5549306Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::BroadcastingTorchSaveReader:0, line 49 <- wrt source file
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2025-12-04T09:07:40.5555732Z * 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
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2025-12-04T09:07:40.5562059Z * 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
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2025-12-04T09:07:40.5568466Z * 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
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2025-12-04T09:07:40.5574274Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0, line 1531 <- wrt source file
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2025-12-04T09:07:40.5586473Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_loader.py::load:0, line 131 <- wrt source file
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2025-12-04T09:07:40.5592124Z * 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
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2025-12-04T09:07:40.5597813Z * 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
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2025-12-04T09:07:40.5603868Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/barriers.py::BarrierConfig:0, line 50 <- wrt source file
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2025-12-04T09:07:40.5610219Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_sync_checkpointer:0, line 78 <- wrt source file
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2025-12-04T09:07:40.5616782Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_async_checkpointer:0, line 139 <- wrt source file
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2025-12-04T09:07:40.5623367Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer:0, line 104 <- wrt source file
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2025-12-04T09:07:40.5629993Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer.save:0, line 142 <- wrt source file
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2025-12-04T09:07:40.5643463Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer.save:0, line 260 <- wrt source file
2025-12-04T09:07:40.5646912Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer.save:0
2025-12-04T09:07:40.5650295Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/staging.py::DefaultStager.close:0, line 211 <- wrt source file
2025-12-04T09:07:40.5653560Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/staging.py::DefaultStager.close:0
2025-12-04T09:07:40.5656858Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/events/__init__.py::construct_and_record_rdzv_event:0, line 110 <- wrt source file
2025-12-04T09:07:40.5660184Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/events/__init__.py::construct_and_record_rdzv_event:0
2025-12-04T09:07:40.5663412Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0, line 232 <- wrt source file
2025-12-04T09:07:40.5666716Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0
2025-12-04T09:07:40.5669772Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/utils/distributed.py::get_free_port:0, line 140 <- wrt source file
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2025-12-04T09:07:40.5675502Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::MixedPrecision:0, line 202 <- wrt source file
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2025-12-04T09:07:40.5680636Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::StateDictType:0, line 262 <- wrt source file
2025-12-04T09:07:40.5683199Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::StateDictType:0
2025-12-04T09:07:40.5686125Z * DOCTEST : /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
2025-12-04T09:07:40.5689506Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0
2025-12-04T09:07:40.5692989Z * 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
2025-12-04T09:07:40.5697003Z * 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
2025-12-04T09:07:40.5700676Z * 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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2025-12-04T09:07:40.5708078Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0, line 1513 <- wrt source file
2025-12-04T09:07:40.5711965Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0
2025-12-04T09:07:40.5715844Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0, line 1633 <- wrt source file
2025-12-04T09:07:40.5719801Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0
2025-12-04T09:07:40.5723785Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0, line 1718 <- wrt source file
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2025-12-04T09:07:40.5731311Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.optim_state_dict:0, line 1850 <- wrt source file
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2025-12-04T09:07:40.5738805Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.optim_state_dict_to_load:0, line 1937 <- wrt source file
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2025-12-04T09:07:40.5745955Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0, line 57 <- wrt source file
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2025-12-04T09:07:40.5751694Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0, line 227 <- wrt source file
2025-12-04T09:07:40.5754263Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0
2025-12-04T09:07:40.5756855Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0, line 134 <- wrt source file
2025-12-04T09:07:40.5759585Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0
2025-12-04T09:07:40.5762385Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.__init__:0, line 196 <- wrt source file
2025-12-04T09:07:40.5765408Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.__init__:0
2025-12-04T09:07:40.5768561Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.init_from_module_rref:0, line 527 <- wrt source file
2025-12-04T09:07:40.5771835Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.init_from_module_rref:0
2025-12-04T09:07:40.5774831Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::RemoteModule:0, line 658 <- wrt source file
2025-12-04T09:07:40.5777637Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::RemoteModule:0
2025-12-04T09:07:40.5781138Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0, line 43 <- wrt source file
2025-12-04T09:07:40.5785150Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0
2025-12-04T09:07:40.5788589Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0, line 114 <- wrt source file
2025-12-04T09:07:40.5791957Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0
2025-12-04T09:07:40.5795042Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0, line 43 <- wrt source file
2025-12-04T09:07:40.5798203Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0
2025-12-04T09:07:40.5801093Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/optimizer.py::DistributedOptimizer:0, line 161 <- wrt source file
2025-12-04T09:07:40.5804033Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/optimizer.py::DistributedOptimizer:0
2025-12-04T09:07:40.5807060Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/post_localSGD_optimizer.py::PostLocalSGDOptimizer:0, line 19 <- wrt source file
2025-12-04T09:07:40.5810358Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/post_localSGD_optimizer.py::PostLocalSGDOptimizer:0
2025-12-04T09:07:40.5813337Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0, line 37 <- wrt source file
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2025-12-04T09:07:40.5819306Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py::ZeroRedundancyOptimizer:0, line 341 <- wrt source file
2025-12-04T09:07:40.5822647Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py::ZeroRedundancyOptimizer:0
2025-12-04T09:07:40.5825534Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0, line 345 <- wrt source file
2025-12-04T09:07:40.5828157Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0
2025-12-04T09:07:40.5830891Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0, line 36 <- wrt source file
2025-12-04T09:07:40.5833800Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0
2025-12-04T09:07:40.5836821Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0, line 85 <- wrt source file
2025-12-04T09:07:40.5840026Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0
2025-12-04T09:07:40.5843162Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0, line 104 <- wrt source file
2025-12-04T09:07:40.5846346Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0
2025-12-04T09:07:40.5849095Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::_wait_all:0, line 174 <- wrt source file
2025-12-04T09:07:40.5851622Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::_wait_all:0
2025-12-04T09:07:40.5853991Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::shutdown:0, line 343 <- wrt source file
2025-12-04T09:07:40.5856401Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::shutdown:0
2025-12-04T09:07:40.5858727Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::remote:0, line 605 <- wrt source file
2025-12-04T09:07:40.5861086Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::remote:0
2025-12-04T09:07:40.5863473Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_sync:0, line 786 <- wrt source file
2025-12-04T09:07:40.5865856Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_sync:0
2025-12-04T09:07:40.5868207Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_async:0, line 878 <- wrt source file
2025-12-04T09:07:40.5870624Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_async:0
2025-12-04T09:07:40.5873151Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/functions.py::async_execution:0, line 34 <- wrt source file
2025-12-04T09:07:40.5875876Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/functions.py::async_execution:0
2025-12-04T09:07:40.5878859Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0, line 126 <- wrt source file
2025-12-04T09:07:40.5882156Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0
2025-12-04T09:07:40.5885450Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0, line 62 <- wrt source file
2025-12-04T09:07:40.5888942Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0
2025-12-04T09:07:40.5891892Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0, line 887 <- wrt source file
2025-12-04T09:07:40.5894488Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0
2025-12-04T09:07:40.5897302Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::ShardOrderEntry:0, line 32 <- wrt source file
2025-12-04T09:07:40.5900170Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::ShardOrderEntry:0
2025-12-04T09:07:40.5903309Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec._convert_shard_order_to_StridedShard:0, line 165 <- wrt source file
2025-12-04T09:07:40.5906804Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec._convert_shard_order_to_StridedShard:0
2025-12-04T09:07:40.5910300Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec._maybe_convert_StridedShard_to_shard_order:0, line 241 <- wrt source file
2025-12-04T09:07:40.5913913Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec._maybe_convert_StridedShard_to_shard_order:0
2025-12-04T09:07:40.5917400Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec.format_shard_order_str:0, line 461 <- wrt source file
2025-12-04T09:07:40.5920633Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec.format_shard_order_str:0
2025-12-04T09:07:40.5923833Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0, line 310 <- wrt source file
2025-12-04T09:07:40.5927212Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0
2025-12-04T09:07:40.5930253Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0, line 234 <- wrt source file
2025-12-04T09:07:40.5933193Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0
2025-12-04T09:07:40.5936105Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_func_map.py::local_map:0, line 103 <- wrt source file
2025-12-04T09:07:40.5939073Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_func_map.py::local_map:0
2025-12-04T09:07:40.5942179Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_register_sharding.py::register_sharding:0, line 46 <- wrt source file
2025-12-04T09:07:40.5945524Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_register_sharding.py::register_sharding:0
2025-12-04T09:07:40.5949104Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_LoadBalancer._generate_indices:0, line 30 <- wrt source file
2025-12-04T09:07:40.5953022Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_LoadBalancer._generate_indices:0
2025-12-04T09:07:40.5956958Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_HeadTailLoadBalancer._generate_indices:0, line 102 <- wrt source file
2025-12-04T09:07:40.5961061Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_HeadTailLoadBalancer._generate_indices:0
2025-12-04T09:07:40.5965231Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PerDocumentHeadTailLoadBalancer._generate_indices:0, line 213 <- wrt source file
2025-12-04T09:07:40.5969572Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PerDocumentHeadTailLoadBalancer._generate_indices:0
2025-12-04T09:07:40.5973617Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PTRRLoadBalancer.ptrr_scheduling:0, line 339 <- wrt source file
2025-12-04T09:07:40.5977584Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PTRRLoadBalancer.ptrr_scheduling:0
2025-12-04T09:07:40.5981566Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PTRRLoadBalancer._generate_indices:0, line 397 <- wrt source file
2025-12-04T09:07:40.5985572Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PTRRLoadBalancer._generate_indices:0
2025-12-04T09:07:40.5988976Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0, line 55 <- wrt source file
2025-12-04T09:07:40.5991926Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0
2025-12-04T09:07:40.5994959Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0, line 88 <- wrt source file
2025-12-04T09:07:40.5998114Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0
2025-12-04T09:07:40.6001013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0, line 56 <- wrt source file
2025-12-04T09:07:40.6003874Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0
2025-12-04T09:07:40.6006744Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0, line 64 <- wrt source file
2025-12-04T09:07:40.6009793Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0
2025-12-04T09:07:40.6012708Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 198 <- wrt source file
2025-12-04T09:07:40.6015669Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0
2025-12-04T09:07:40.6018584Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 350 <- wrt source file
2025-12-04T09:07:40.6021580Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0
2025-12-04T09:07:40.6024516Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0, line 452 <- wrt source file
2025-12-04T09:07:40.6027562Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0
2025-12-04T09:07:40.6030566Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0, line 614 <- wrt source file
2025-12-04T09:07:40.6033632Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0
2025-12-04T09:07:40.6036708Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0, line 740 <- wrt source file
2025-12-04T09:07:40.6039905Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0
2025-12-04T09:07:40.6042702Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file
2025-12-04T09:07:40.6045253Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0
2025-12-04T09:07:40.6047820Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file
2025-12-04T09:07:40.6050124Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0
2025-12-04T09:07:40.6052495Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file
2025-12-04T09:07:40.6054994Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0
2025-12-04T09:07:40.6057613Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file
2025-12-04T09:07:40.6060249Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0
2025-12-04T09:07:40.6062701Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file
2025-12-04T09:07:40.6065094Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0
2025-12-04T09:07:40.6067390Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file
2025-12-04T09:07:40.6069676Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0
2025-12-04T09:07:40.6072113Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file
2025-12-04T09:07:40.6074771Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0
2025-12-04T09:07:40.6077475Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file
2025-12-04T09:07:40.6080299Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0
2025-12-04T09:07:40.6083171Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file
2025-12-04T09:07:40.6086228Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0
2025-12-04T09:07:40.6088982Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file
2025-12-04T09:07:40.6091513Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0
2025-12-04T09:07:40.6094053Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file
2025-12-04T09:07:40.6096824Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0
2025-12-04T09:07:40.6099513Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file
2025-12-04T09:07:40.6102344Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0
2025-12-04T09:07:40.6104833Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file
2025-12-04T09:07:40.6107164Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0
2025-12-04T09:07:40.6109909Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file
2025-12-04T09:07:40.6112940Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0
2025-12-04T09:07:40.6115624Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file
2025-12-04T09:07:40.6118177Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0
2025-12-04T09:07:40.6120672Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file
2025-12-04T09:07:40.6123074Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0
2025-12-04T09:07:40.6125526Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file
2025-12-04T09:07:40.6128207Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0
2025-12-04T09:07:40.6130736Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file
2025-12-04T09:07:40.6133333Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0
2025-12-04T09:07:40.6135910Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file
2025-12-04T09:07:40.6138555Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0
2025-12-04T09:07:40.6141170Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file
2025-12-04T09:07:40.6143862Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0
2025-12-04T09:07:40.6146497Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file
2025-12-04T09:07:40.6149148Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0
2025-12-04T09:07:40.6151640Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file
2025-12-04T09:07:40.6154079Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0
2025-12-04T09:07:40.6156576Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file
2025-12-04T09:07:40.6159224Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0
2025-12-04T09:07:40.6161762Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file
2025-12-04T09:07:40.6164285Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0
2025-12-04T09:07:40.6166909Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file
2025-12-04T09:07:40.6169845Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0
2025-12-04T09:07:40.6172878Z * 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
2025-12-04T09:07:40.6176208Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0
2025-12-04T09:07:40.6179272Z * 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
2025-12-04T09:07:40.6182303Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0
2025-12-04T09:07:40.6185056Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file
2025-12-04T09:07:40.6187708Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0
2025-12-04T09:07:40.6190484Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file
2025-12-04T09:07:40.6193501Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0
2025-12-04T09:07:40.6196139Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file
2025-12-04T09:07:40.6198655Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0
2025-12-04T09:07:40.6201272Z * 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
2025-12-04T09:07:40.6204185Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0
2025-12-04T09:07:40.6206791Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file
2025-12-04T09:07:40.6209266Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0
2025-12-04T09:07:40.6211656Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file
2025-12-04T09:07:40.6214088Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0
2025-12-04T09:07:40.6216712Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file
2025-12-04T09:07:40.6219613Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0
2025-12-04T09:07:40.6222596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file
2025-12-04T09:07:40.6225737Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0
2025-12-04T09:07:40.6228478Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file
2025-12-04T09:07:40.6230963Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0
2025-12-04T09:07:40.6233668Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file
2025-12-04T09:07:40.6236330Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0
2025-12-04T09:07:40.6238972Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1190 <- wrt source file
2025-12-04T09:07:40.6241697Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0
2025-12-04T09:07:40.6244730Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1268 <- wrt source file
2025-12-04T09:07:40.6247986Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0
2025-12-04T09:07:40.6250695Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file
2025-12-04T09:07:40.6253128Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0
2025-12-04T09:07:40.6255543Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file
2025-12-04T09:07:40.6258009Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0
2025-12-04T09:07:40.6260445Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file
2025-12-04T09:07:40.6262941Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0
2025-12-04T09:07:40.6265360Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file
2025-12-04T09:07:40.6267779Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0
2025-12-04T09:07:40.6270165Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file
2025-12-04T09:07:40.6272581Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0
2025-12-04T09:07:40.6275049Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0, line 158 <- wrt source file
2025-12-04T09:07:40.6277669Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0
2025-12-04T09:07:40.6280124Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 123 <- wrt source file
2025-12-04T09:07:40.6282456Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0
2025-12-04T09:07:40.6284926Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 737 <- wrt source file
2025-12-04T09:07:40.6287644Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0
2025-12-04T09:07:40.6290258Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 753 <- wrt source file
2025-12-04T09:07:40.6292902Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1
2025-12-04T09:07:40.6295586Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0, line 837 <- wrt source file
2025-12-04T09:07:40.6298348Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0
2025-12-04T09:07:40.6300709Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::_snake_case:0, line 104 <- wrt source file
2025-12-04T09:07:40.6302866Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::_snake_case:0
2025-12-04T09:07:40.6305320Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0, line 2043 <- wrt source file
2025-12-04T09:07:40.6307841Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0
2025-12-04T09:07:40.6310274Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.on_generate_code:0, line 2137 <- wrt source file
2025-12-04T09:07:40.6312713Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.on_generate_code:0
2025-12-04T09:07:40.6315061Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Interpreter:0, line 75 <- wrt source file
2025-12-04T09:07:40.6317417Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Interpreter:0
2025-12-04T09:07:40.6319744Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Transformer:0, line 519 <- wrt source file
2025-12-04T09:07:40.6322117Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Transformer:0
2025-12-04T09:07:40.6324540Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0, line 126 <- wrt source file
2025-12-04T09:07:40.6327177Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0
2025-12-04T09:07:40.6329568Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::TensorType:0, line 12 <- wrt source file
2025-12-04T09:07:40.6331891Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::TensorType:0
2025-12-04T09:07:40.6334171Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_consistent:0, line 65 <- wrt source file
2025-12-04T09:07:40.6336554Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_consistent:0
2025-12-04T09:07:40.6338881Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_more_precise:0, line 93 <- wrt source file
2025-12-04T09:07:40.6341266Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_more_precise:0
2025-12-04T09:07:40.6343550Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate:0, line 300 <- wrt source file
2025-12-04T09:07:40.6345805Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate:0
2025-12-04T09:07:40.6348035Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate_fn:0, line 344 <- wrt source file
2025-12-04T09:07:40.6350354Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate_fn:0
2025-12-04T09:07:40.6352956Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0, line 97 <- wrt source file
2025-12-04T09:07:40.6356069Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0
2025-12-04T09:07:40.6358859Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/core.py::reify:0, line 58 <- wrt source file
2025-12-04T09:07:40.6361551Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/core.py::reify:0
2025-12-04T09:07:40.6364344Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0, line 48 <- wrt source file
2025-12-04T09:07:40.6367328Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0
2025-12-04T09:07:40.6370128Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unifiable:0, line 19 <- wrt source file
2025-12-04T09:07:40.6372911Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unifiable:0
2025-12-04T09:07:40.6375657Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::reify_object:0, line 45 <- wrt source file
2025-12-04T09:07:40.6378480Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::reify_object:0
2025-12-04T09:07:40.6381273Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unify_object:0, line 102 <- wrt source file
2025-12-04T09:07:40.6384117Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unify_object:0
2025-12-04T09:07:40.6386995Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0, line 37 <- wrt source file
2025-12-04T09:07:40.6390041Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0
2025-12-04T09:07:40.6393014Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0, line 64 <- wrt source file
2025-12-04T09:07:40.6396118Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0
2025-12-04T09:07:40.6399315Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0, line 90 <- wrt source file
2025-12-04T09:07:40.6402357Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0
2025-12-04T09:07:40.6405333Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0, line 106 <- wrt source file
2025-12-04T09:07:40.6408383Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0
2025-12-04T09:07:40.6411356Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0, line 122 <- wrt source file
2025-12-04T09:07:40.6414429Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0
2025-12-04T09:07:40.6417457Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0, line 138 <- wrt source file
2025-12-04T09:07:40.6420701Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0
2025-12-04T09:07:40.6423714Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0, line 158 <- wrt source file
2025-12-04T09:07:40.6426829Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0
2025-12-04T09:07:40.6429991Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0, line 178 <- wrt source file
2025-12-04T09:07:40.6433125Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0
2025-12-04T09:07:40.6436105Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0, line 204 <- wrt source file
2025-12-04T09:07:40.6439113Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0
2025-12-04T09:07:40.6442061Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0, line 221 <- wrt source file
2025-12-04T09:07:40.6445088Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0
2025-12-04T09:07:40.6448166Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc_in:0, line 247 <- wrt source file
2025-12-04T09:07:40.6451219Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc_in:0
2025-12-04T09:07:40.6454251Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::update_in:0, line 275 <- wrt source file
2025-12-04T09:07:40.6457374Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::update_in:0
2025-12-04T09:07:40.6460389Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::get_in:0, line 329 <- wrt source file
2025-12-04T09:07:40.6463401Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::get_in:0
2025-12-04T09:07:40.6466387Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::groupby:0, line 376 <- wrt source file
2025-12-04T09:07:40.6469455Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::groupby:0
2025-12-04T09:07:40.6472410Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0, line 417 <- wrt source file
2025-12-04T09:07:40.6475425Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0
2025-12-04T09:07:40.6478317Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0, line 15 <- wrt source file
2025-12-04T09:07:40.6481221Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0
2025-12-04T09:07:40.6484115Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0, line 42 <- wrt source file
2025-12-04T09:07:40.6486911Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0
2025-12-04T09:07:40.6489739Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0, line 70 <- wrt source file
2025-12-04T09:07:40.6492617Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0
2025-12-04T09:07:40.6495461Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::freeze:0, line 95 <- wrt source file
2025-12-04T09:07:40.6498553Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::freeze:0
2025-12-04T09:07:40.6501332Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/variable.py::variables:0, line 67 <- wrt source file
2025-12-04T09:07:40.6504201Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/variable.py::variables:0
2025-12-04T09:07:40.6507205Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0, line 28 <- wrt source file
2025-12-04T09:07:40.6510420Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0
2025-12-04T09:07:40.6513695Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0, line 113 <- wrt source file
2025-12-04T09:07:40.6517119Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0
2025-12-04T09:07:40.6520594Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0, line 138 <- wrt source file
2025-12-04T09:07:40.6524245Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0
2025-12-04T09:07:40.6527813Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0, line 191 <- wrt source file
2025-12-04T09:07:40.6531344Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0
2025-12-04T09:07:40.6534857Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0, line 305 <- wrt source file
2025-12-04T09:07:40.6538498Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0
2025-12-04T09:07:40.6541983Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0, line 436 <- wrt source file
2025-12-04T09:07:40.6545473Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0
2025-12-04T09:07:40.6548800Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0, line 18 <- wrt source file
2025-12-04T09:07:40.6552274Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0
2025-12-04T09:07:40.6555482Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0, line 41 <- wrt source file
2025-12-04T09:07:40.6558729Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0
2025-12-04T09:07:40.6561935Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0, line 68 <- wrt source file
2025-12-04T09:07:40.6565354Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0
2025-12-04T09:07:40.6568629Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0, line 87 <- wrt source file
2025-12-04T09:07:40.6571844Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0
2025-12-04T09:07:40.6575004Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0, line 117 <- wrt source file
2025-12-04T09:07:40.6578416Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0
2025-12-04T09:07:40.6582129Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0, line 47 <- wrt source file
2025-12-04T09:07:40.6586046Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0
2025-12-04T09:07:40.6589822Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0, line 83 <- wrt source file
2025-12-04T09:07:40.6593725Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0
2025-12-04T09:07:40.6597367Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0, line 129 <- wrt source file
2025-12-04T09:07:40.6600734Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0
2025-12-04T09:07:40.6603780Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 99 <- wrt source file
2025-12-04T09:07:40.6606637Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0
2025-12-04T09:07:40.6609568Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0, line 94 <- wrt source file
2025-12-04T09:07:40.6612507Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0
2025-12-04T09:07:40.6616033Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file
2025-12-04T09:07:40.6620167Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0
2025-12-04T09:07:40.6623740Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 37 <- wrt source file
2025-12-04T09:07:40.6627132Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0
2025-12-04T09:07:40.6630212Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file
2025-12-04T09:07:40.6633392Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0
2025-12-04T09:07:40.6636736Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 125 <- wrt source file
2025-12-04T09:07:40.6640028Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0
2025-12-04T09:07:40.6643102Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 225 <- wrt source file
2025-12-04T09:07:40.6646046Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0
2025-12-04T09:07:40.6648486Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0, line 1538 <- wrt source file
2025-12-04T09:07:40.6650767Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0
2025-12-04T09:07:40.6653194Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file
2025-12-04T09:07:40.6655889Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0
2025-12-04T09:07:40.6658614Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 470 <- wrt source file
2025-12-04T09:07:40.6661436Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0
2025-12-04T09:07:40.6664202Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 589 <- wrt source file
2025-12-04T09:07:40.9122967Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0
2025-12-04T09:07:40.9261644Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file
2025-12-04T09:07:40.9296484Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0
2025-12-04T09:07:40.9298974Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file
2025-12-04T09:07:40.9311632Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0
2025-12-04T09:07:40.9313948Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file
2025-12-04T09:07:40.9369574Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0
2025-12-04T09:07:40.9371874Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file
2025-12-04T09:07:40.9455098Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0
2025-12-04T09:07:40.9457716Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file
2025-12-04T09:07:40.9527510Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0
2025-12-04T09:07:40.9529859Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file
2025-12-04T09:07:40.9568609Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0
2025-12-04T09:07:40.9571429Z * 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
2025-12-04T09:07:40.9615247Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0
2025-12-04T09:07:40.9617928Z * 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
2025-12-04T09:07:40.9645770Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0
2025-12-04T09:07:40.9648276Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file
2025-12-04T09:07:40.9663299Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0
2025-12-04T09:07:40.9665464Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file
2025-12-04T09:07:40.9760965Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0
2025-12-04T09:07:40.9763166Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file
2025-12-04T09:07:40.9770492Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0
2025-12-04T09:07:40.9772673Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file
2025-12-04T09:07:40.9808215Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0
2025-12-04T09:07:40.9810403Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file
2025-12-04T09:07:40.9817518Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0
2025-12-04T09:07:40.9819722Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file
2025-12-04T09:07:41.0542275Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0
2025-12-04T09:07:41.0544576Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file
2025-12-04T09:07:41.0650495Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0
2025-12-04T09:07:41.0652810Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file
2025-12-04T09:07:41.0655354Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0
2025-12-04T09:07:41.0657530Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file
2025-12-04T09:07:41.0660389Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0
2025-12-04T09:07:41.0662454Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file
2025-12-04T09:07:41.0665564Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0
2025-12-04T09:07:41.0667692Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file
2025-12-04T09:07:41.0685353Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0
2025-12-04T09:07:41.0687712Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file
2025-12-04T09:07:41.0691546Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0
2025-12-04T09:07:41.0693625Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file
2025-12-04T09:07:41.0696792Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0
2025-12-04T09:07:41.0698834Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file
2025-12-04T09:07:41.0702513Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0
2025-12-04T09:07:41.0704576Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file
2025-12-04T09:07:41.0708762Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0
2025-12-04T09:07:41.0710804Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file
2025-12-04T09:07:41.0718135Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0
2025-12-04T09:07:41.0720285Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file
2025-12-04T09:07:41.0723519Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0
2025-12-04T09:07:41.0725731Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file
2025-12-04T09:07:41.0728321Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0
2025-12-04T09:07:41.0730555Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file
2025-12-04T09:07:41.0733991Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0
2025-12-04T09:07:41.0736234Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file
2025-12-04T09:07:41.0739157Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0
2025-12-04T09:07:41.0741338Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file
2025-12-04T09:07:41.0743544Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0
2025-12-04T09:07:41.0745657Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file
2025-12-04T09:07:41.0776730Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0
2025-12-04T09:07:41.0779237Z * 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
2025-12-04T09:07:41.0781707Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0
2025-12-04T09:07:41.0784372Z * 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
2025-12-04T09:07:41.0787284Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0
2025-12-04T09:07:41.0790237Z * 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
2025-12-04T09:07:41.0793122Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0
2025-12-04T09:07:41.0795745Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file
2025-12-04T09:07:41.0798297Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0
2025-12-04T09:07:41.0800692Z * 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
2025-12-04T09:07:41.0803161Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0
2025-12-04T09:07:41.0805592Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file
2025-12-04T09:07:41.0808097Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0
2025-12-04T09:07:41.0810474Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file
2025-12-04T09:07:41.0812849Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0
2025-12-04T09:07:41.0815184Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file
2025-12-04T09:07:41.0828859Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0
2025-12-04T09:07:41.0831252Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file
2025-12-04T09:07:41.0836418Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0
2025-12-04T09:07:41.0838822Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file
2025-12-04T09:07:41.0842177Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0
2025-12-04T09:07:41.0844545Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file
2025-12-04T09:07:41.0848753Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0
2025-12-04T09:07:41.0851216Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file
2025-12-04T09:07:41.0856383Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0
2025-12-04T09:07:41.0858962Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file
2025-12-04T09:07:41.0861743Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0
2025-12-04T09:07:41.0864066Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file
2025-12-04T09:07:41.0880110Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0
2025-12-04T09:07:41.0882548Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file
2025-12-04T09:07:41.0895694Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0
2025-12-04T09:07:41.0898229Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file
2025-12-04T09:07:41.0914266Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0
2025-12-04T09:07:41.0916640Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file
2025-12-04T09:07:41.0959108Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0
2025-12-04T09:07:41.0961441Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file
2025-12-04T09:07:41.0966638Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0
2025-12-04T09:07:41.0969030Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file
2025-12-04T09:07:41.0974170Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0
2025-12-04T09:07:41.0976483Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file
2025-12-04T09:07:41.0992199Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0
2025-12-04T09:07:41.0994579Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file
2025-12-04T09:07:41.1096700Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0
2025-12-04T09:07:41.1099134Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file
2025-12-04T09:07:41.1114267Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0
2025-12-04T09:07:41.1116753Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file
2025-12-04T09:07:41.1129176Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0
2025-12-04T09:07:41.1131643Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file
2025-12-04T09:07:41.1135622Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0
2025-12-04T09:07:41.1138077Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file
2025-12-04T09:07:41.1143321Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0
2025-12-04T09:07:41.1145770Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file
2025-12-04T09:07:41.1151159Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0
2025-12-04T09:07:41.1153764Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file
2025-12-04T09:07:41.1156649Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0
2025-12-04T09:07:41.1159183Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file
2025-12-04T09:07:41.1167701Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0
2025-12-04T09:07:41.1170142Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file
2025-12-04T09:07:41.1174555Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0
2025-12-04T09:07:41.1177021Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file
2025-12-04T09:07:41.1180670Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0
2025-12-04T09:07:41.1183128Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file
2025-12-04T09:07:41.1187881Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0
2025-12-04T09:07:41.1190329Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file
2025-12-04T09:07:41.1195048Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0
2025-12-04T09:07:41.1197631Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file
2025-12-04T09:07:41.1202835Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0
2025-12-04T09:07:41.1205682Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file
2025-12-04T09:07:41.1209928Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0
2025-12-04T09:07:41.1212403Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file
2025-12-04T09:07:41.1284707Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0
2025-12-04T09:07:41.1287211Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file
2025-12-04T09:07:41.1922005Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0
2025-12-04T09:07:41.2048656Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file
2025-12-04T09:07:41.8245932Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0
2025-12-04T09:07:41.9405160Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file
2025-12-04T09:07:41.9407875Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0
2025-12-04T09:07:41.9410686Z * 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
2025-12-04T09:07:41.9414130Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0
2025-12-04T09:07:41.9416963Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file
2025-12-04T09:07:41.9479700Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0
2025-12-04T09:07:41.9482256Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file
2025-12-04T09:07:41.9484733Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0
2025-12-04T09:07:41.9487358Z * 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
2025-12-04T09:07:41.9497008Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0
2025-12-04T09:07:41.9499632Z * 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
2025-12-04T09:07:41.9510176Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0
2025-12-04T09:07:41.9512761Z * 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
2025-12-04T09:07:41.9525089Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0
2025-12-04T09:07:41.9527674Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file
2025-12-04T09:07:41.9530193Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0
2025-12-04T09:07:41.9532650Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file
2025-12-04T09:07:41.9535133Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0
2025-12-04T09:07:41.9537597Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file
2025-12-04T09:07:41.9540165Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0
2025-12-04T09:07:41.9542689Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file
2025-12-04T09:07:41.9545257Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0
2025-12-04T09:07:41.9547783Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file
2025-12-04T09:07:41.9550600Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0
2025-12-04T09:07:41.9553152Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file
2025-12-04T09:07:41.9564833Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0
2025-12-04T09:07:41.9567333Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file
2025-12-04T09:07:41.9573808Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0
2025-12-04T09:07:41.9576171Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file
2025-12-04T09:07:41.9584274Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0
2025-12-04T09:07:41.9586647Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file
2025-12-04T09:07:41.9651858Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0
2025-12-04T09:07:41.9660415Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file
2025-12-04T09:07:41.9902068Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0
2025-12-04T09:07:41.9934465Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file
2025-12-04T09:07:41.9943835Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0
2025-12-04T09:07:41.9946374Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file
2025-12-04T09:07:42.0191955Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0
2025-12-04T09:07:42.0223986Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file
2025-12-04T09:07:42.0234388Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0
2025-12-04T09:07:42.0236729Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file
2025-12-04T09:07:42.0262739Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0
2025-12-04T09:07:42.0264983Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file
2025-12-04T09:07:42.0271761Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0
2025-12-04T09:07:42.0273974Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file
2025-12-04T09:07:42.0358162Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0
2025-12-04T09:07:42.0360618Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file
2025-12-04T09:07:42.0392463Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0
2025-12-04T09:07:42.0395173Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file
2025-12-04T09:07:42.1028424Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0
2025-12-04T09:07:42.1106110Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file
2025-12-04T09:07:42.7275939Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0
2025-12-04T09:07:42.8218805Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file
2025-12-04T09:07:42.8222633Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0
2025-12-04T09:07:42.8225007Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file
2025-12-04T09:07:42.8232911Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0
2025-12-04T09:07:42.8235262Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file
2025-12-04T09:07:42.8265535Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0
2025-12-04T09:07:42.8268092Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file
2025-12-04T09:07:42.8382101Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0
2025-12-04T09:07:42.8384343Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file
2025-12-04T09:07:42.8399811Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0
2025-12-04T09:07:42.8402434Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file
2025-12-04T09:07:42.8475402Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0
2025-12-04T09:07:42.8478189Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file
2025-12-04T09:07:42.8500958Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0
2025-12-04T09:07:42.8503435Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file
2025-12-04T09:07:42.8549907Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0
2025-12-04T09:07:42.8552304Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file
2025-12-04T09:07:42.8566053Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0
2025-12-04T09:07:42.8568356Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file
2025-12-04T09:07:42.8607976Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0
2025-12-04T09:07:42.8610567Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file
2025-12-04T09:07:42.8621568Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0
2025-12-04T09:07:42.8623962Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file
2025-12-04T09:07:42.8644254Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0
2025-12-04T09:07:42.8646757Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file
2025-12-04T09:07:42.8656326Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1
2025-12-04T09:07:42.8658894Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file
2025-12-04T09:07:42.8673660Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0
2025-12-04T09:07:42.8676167Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file
2025-12-04T09:07:42.8693576Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0
2025-12-04T09:07:42.8696073Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file
2025-12-04T09:07:42.8698737Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1
2025-12-04T09:07:42.8701253Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file
2025-12-04T09:07:42.8736109Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0
2025-12-04T09:07:42.8738628Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file
2025-12-04T09:07:42.8752340Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0
2025-12-04T09:07:42.8754860Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file
2025-12-04T09:07:42.8768375Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0
2025-12-04T09:07:42.8770880Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file
2025-12-04T09:07:42.8809568Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0
2025-12-04T09:07:42.8812275Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file
2025-12-04T09:07:42.8880284Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0
2025-12-04T09:07:42.8882793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file
2025-12-04T09:07:42.8957047Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0
2025-12-04T09:07:42.8959808Z * 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
2025-12-04T09:07:42.8962370Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0
2025-12-04T09:07:42.8964645Z * 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
2025-12-04T09:07:42.8991928Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0
2025-12-04T09:07:42.8994405Z * 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
2025-12-04T09:07:42.9006942Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0
2025-12-04T09:07:42.9009404Z * 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
2025-12-04T09:07:42.9011919Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0
2025-12-04T09:07:42.9014393Z * 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
2025-12-04T09:07:42.9016875Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0
2025-12-04T09:07:42.9019197Z * 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
2025-12-04T09:07:42.9021701Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0
2025-12-04T09:07:42.9024047Z * 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
2025-12-04T09:07:42.9026518Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0
2025-12-04T09:07:42.9028941Z * 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
2025-12-04T09:07:42.9031335Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0
2025-12-04T09:07:42.9033647Z * 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
2025-12-04T09:07:42.9036110Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0
2025-12-04T09:07:42.9038638Z * 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
2025-12-04T09:07:42.9041067Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0
2025-12-04T09:07:42.9043389Z * 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
2025-12-04T09:07:42.9045862Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0
2025-12-04T09:07:42.9048714Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file
2025-12-04T09:07:42.9190545Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0
2025-12-04T09:07:42.9196248Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file
2025-12-04T09:07:42.9234900Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0
2025-12-04T09:07:42.9237488Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file
2025-12-04T09:07:42.9271132Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0
2025-12-04T09:07:42.9273933Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file
2025-12-04T09:07:42.9281980Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0
2025-12-04T09:07:42.9294405Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file
2025-12-04T09:07:42.9297048Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0
2025-12-04T09:07:42.9299533Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file
2025-12-04T09:07:42.9358524Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0
2025-12-04T09:07:42.9361026Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file
2025-12-04T09:07:44.1305514Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0
2025-12-04T09:07:44.2535886Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file
2025-12-04T09:07:44.2552424Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0
2025-12-04T09:07:44.2554929Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file
2025-12-04T09:07:44.2562914Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0
2025-12-04T09:07:44.2565407Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file
2025-12-04T09:07:44.2643304Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0
2025-12-04T09:07:44.2654246Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file
2025-12-04T09:07:44.2686175Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0
2025-12-04T09:07:44.2688767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file
2025-12-04T09:07:44.2707732Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0
2025-12-04T09:07:44.2710270Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file
2025-12-04T09:07:44.2726876Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0
2025-12-04T09:07:44.2738825Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file
2025-12-04T09:07:44.2747228Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0
2025-12-04T09:07:44.2749794Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file
2025-12-04T09:07:44.2767994Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0
2025-12-04T09:07:44.2770775Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file
2025-12-04T09:07:45.3818010Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0
2025-12-04T09:07:45.4808442Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file
2025-12-04T09:07:45.4825435Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0
2025-12-04T09:07:45.4827817Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file
2025-12-04T09:07:45.4835953Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0
2025-12-04T09:07:45.4838338Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file
2025-12-04T09:07:45.4917337Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0
2025-12-04T09:07:45.4927785Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file
2025-12-04T09:07:45.4943446Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0
2025-12-04T09:07:45.4946031Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file
2025-12-04T09:07:45.4968999Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0
2025-12-04T09:07:45.4971519Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file
2025-12-04T09:07:45.4997982Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0
2025-12-04T09:07:45.5000355Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file
2025-12-04T09:07:45.5143915Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0
2025-12-04T09:07:45.5153658Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file
2025-12-04T09:07:46.0093362Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0
2025-12-04T09:07:46.0425242Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file
2025-12-04T09:07:46.0454962Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0
2025-12-04T09:07:46.0457389Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file
2025-12-04T09:07:46.0497614Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0
2025-12-04T09:07:46.0500042Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file
2025-12-04T09:07:46.2324235Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0
2025-12-04T09:07:46.2456191Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file
2025-12-04T09:07:46.2497795Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0
2025-12-04T09:07:46.2500192Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file
2025-12-04T09:07:46.2616695Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0
2025-12-04T09:07:46.2625585Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file
2025-12-04T09:07:46.7440985Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0
2025-12-04T09:07:46.7860250Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file
2025-12-04T09:07:46.7985503Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0
2025-12-04T09:07:46.7991659Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file
2025-12-04T09:07:46.9977349Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0
2025-12-04T09:07:47.0090760Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file
2025-12-04T09:07:47.0108140Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0
2025-12-04T09:07:47.0110563Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file
2025-12-04T09:07:47.0273861Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0
2025-12-04T09:07:47.0282750Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file
2025-12-04T09:07:47.6260989Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0
2025-12-04T09:07:47.6651508Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file
2025-12-04T09:07:47.6673495Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0
2025-12-04T09:07:47.6676147Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file
2025-12-04T09:07:47.6690429Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0
2025-12-04T09:07:47.6693019Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file
2025-12-04T09:07:47.6751611Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0
2025-12-04T09:07:47.6754219Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file
2025-12-04T09:07:47.6771030Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0
2025-12-04T09:07:47.6773618Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file
2025-12-04T09:07:47.6785724Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0
2025-12-04T09:07:47.6788332Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file
2025-12-04T09:07:47.6837837Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0
2025-12-04T09:07:47.6840186Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file
2025-12-04T09:07:47.6867692Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0
2025-12-04T09:07:47.6870319Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file
2025-12-04T09:07:47.7507011Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0
2025-12-04T09:07:47.7509239Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file
2025-12-04T09:07:47.7573626Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0
2025-12-04T09:07:47.7578287Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file
2025-12-04T09:07:47.7602100Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0
2025-12-04T09:07:47.7604362Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file
2025-12-04T09:07:47.7626365Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0
2025-12-04T09:07:47.7628627Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file
2025-12-04T09:07:47.7668403Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0
2025-12-04T09:07:47.7672013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file
2025-12-04T09:07:47.7694392Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0
2025-12-04T09:07:47.7697024Z * 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
2025-12-04T09:07:47.7704051Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0
2025-12-04T09:07:47.7706745Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file
2025-12-04T09:07:47.7729681Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0
2025-12-04T09:07:47.7732617Z * 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
2025-12-04T09:07:47.7742288Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0
2025-12-04T09:07:47.7744935Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file
2025-12-04T09:07:50.3294142Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0
2025-12-04T09:07:50.5557290Z * 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
2025-12-04T09:07:50.5558829Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0
2025-12-04T09:07:50.5560235Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file
2025-12-04T09:07:50.9071243Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0
2025-12-04T09:07:50.9813418Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file
2025-12-04T09:07:51.7340088Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0
2025-12-04T09:07:51.8760557Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file
2025-12-04T09:07:51.9875457Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0
2025-12-04T09:07:51.9987625Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file
2025-12-04T09:07:52.1999056Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0
2025-12-04T09:07:52.2225237Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file
2025-12-04T09:07:52.2346206Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0
2025-12-04T09:07:52.2348819Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file
2025-12-04T09:07:52.2378173Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0
2025-12-04T09:07:52.2380907Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file
2025-12-04T09:07:52.2394755Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0
2025-12-04T09:07:52.2397650Z * 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
2025-12-04T09:07:52.2400353Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0
2025-12-04T09:07:52.2403102Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file
2025-12-04T09:07:52.2406419Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0
2025-12-04T09:07:52.2409474Z * 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
2025-12-04T09:07:52.2412555Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0
2025-12-04T09:07:52.2415713Z * 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
2025-12-04T09:07:52.2418763Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0
2025-12-04T09:07:52.2421925Z * 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
2025-12-04T09:07:52.2425227Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0
2025-12-04T09:07:52.2428491Z * 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
2025-12-04T09:07:52.2431781Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1
2025-12-04T09:07:52.2435121Z * 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
2025-12-04T09:07:52.2438597Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0
2025-12-04T09:07:52.2441965Z * 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
2025-12-04T09:07:52.2445308Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0
2025-12-04T09:07:52.2448293Z * 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
2025-12-04T09:07:52.2451100Z * 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
2025-12-04T09:07:52.2453586Z * 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
2025-12-04T09:07:52.2455842Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0
2025-12-04T09:07:52.2458446Z * 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
2025-12-04T09:07:52.2461433Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0
2025-12-04T09:07:52.2464396Z * 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
2025-12-04T09:07:52.2467393Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0
2025-12-04T09:07:52.2470268Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file
2025-12-04T09:07:52.2472891Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0
2025-12-04T09:07:52.2475483Z * 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
2025-12-04T09:07:52.2478134Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0
2025-12-04T09:07:52.2480845Z * 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
2025-12-04T09:07:52.2483533Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0
2025-12-04T09:07:52.2485943Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file
2025-12-04T09:07:52.2488268Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0
2025-12-04T09:07:52.2490649Z * 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
2025-12-04T09:07:52.2493195Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0
2025-12-04T09:07:52.2495633Z * 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
2025-12-04T09:07:52.2498187Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0
2025-12-04T09:07:52.2500621Z * 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
2025-12-04T09:07:52.2503093Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0
2025-12-04T09:07:52.2505479Z * 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
2025-12-04T09:07:52.2523046Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0
2025-12-04T09:07:52.2525559Z * 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
2025-12-04T09:07:52.2574699Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0
2025-12-04T09:07:52.2577195Z * 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
2025-12-04T09:07:52.2591986Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0
2025-12-04T09:07:52.2594355Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file
2025-12-04T09:07:52.2603736Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0
2025-12-04T09:07:52.2605997Z * 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
2025-12-04T09:07:52.2617491Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0
2025-12-04T09:07:52.2620177Z * 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
2025-12-04T09:07:52.2678577Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0
2025-12-04T09:07:52.2680927Z * 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
2025-12-04T09:07:52.2688599Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0
2025-12-04T09:07:52.2691051Z * 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
2025-12-04T09:07:52.2736929Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0
2025-12-04T09:07:52.2739244Z * 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
2025-12-04T09:07:52.2751291Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0
2025-12-04T09:07:52.2753601Z * 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
2025-12-04T09:07:52.2787817Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0
2025-12-04T09:07:52.2790256Z * 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
2025-12-04T09:07:52.2800472Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0
2025-12-04T09:07:52.2803066Z * 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
2025-12-04T09:07:52.2814074Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0
2025-12-04T09:07:52.2816653Z * 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
2025-12-04T09:07:52.2819839Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0
2025-12-04T09:07:52.2822275Z * 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
2025-12-04T09:07:52.2844357Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0
2025-12-04T09:07:52.2846836Z * 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
2025-12-04T09:07:52.2854955Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0
2025-12-04T09:07:52.2857586Z * 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
2025-12-04T09:07:52.2860347Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0
2025-12-04T09:07:52.2863415Z * 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
2025-12-04T09:07:52.2866898Z * 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
2025-12-04T09:07:52.2869947Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file
2025-12-04T09:07:52.2872307Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0
2025-12-04T09:07:52.2874740Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file
2025-12-04T09:07:52.2877302Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0
2025-12-04T09:07:52.2879792Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file
2025-12-04T09:07:52.2882136Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0
2025-12-04T09:07:52.2884475Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file
2025-12-04T09:07:52.2886886Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0
2025-12-04T09:07:52.2889304Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file
2025-12-04T09:07:52.2891682Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0
2025-12-04T09:07:52.2894026Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file
2025-12-04T09:07:52.2896388Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0
2025-12-04T09:07:52.2898939Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file
2025-12-04T09:07:52.2901426Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0
2025-12-04T09:07:52.2903861Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file
2025-12-04T09:07:52.2906336Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0
2025-12-04T09:07:52.2908766Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file
2025-12-04T09:07:52.2911221Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0
2025-12-04T09:07:52.2913697Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file
2025-12-04T09:07:52.2916305Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0
2025-12-04T09:07:52.2918838Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file
2025-12-04T09:07:52.2921370Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0
2025-12-04T09:07:52.2923803Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file
2025-12-04T09:07:52.2926179Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0
2025-12-04T09:07:52.2928968Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file
2025-12-04T09:07:52.2931801Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0
2025-12-04T09:07:52.2934625Z * 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
2025-12-04T09:07:52.2937591Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0
2025-12-04T09:07:52.2940597Z * 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
2025-12-04T09:07:52.2943532Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1
2025-12-04T09:07:52.2946131Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file
2025-12-04T09:07:52.2948538Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0
2025-12-04T09:07:52.2951051Z * 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
2025-12-04T09:07:52.2953708Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0
2025-12-04T09:07:52.2956203Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file
2025-12-04T09:07:52.2958598Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0
2025-12-04T09:07:52.2960969Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file
2025-12-04T09:07:52.2963371Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1
2025-12-04T09:07:52.2965670Z * 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
2025-12-04T09:07:52.2968074Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0
2025-12-04T09:07:52.2970298Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file
2025-12-04T09:07:52.2972515Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0
2025-12-04T09:07:52.2974786Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file
2025-12-04T09:07:52.2977156Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0
2025-12-04T09:07:52.2979877Z * 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
2025-12-04T09:07:52.2982949Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0
2025-12-04T09:07:52.2985579Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0, line 659 <- wrt source file
2025-12-04T09:07:52.2987928Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0
2025-12-04T09:07:52.2990521Z * 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
2025-12-04T09:07:52.2993303Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0
2025-12-04T09:07:52.2995885Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file
2025-12-04T09:07:52.3017029Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0
2025-12-04T09:07:52.3019513Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file
2025-12-04T09:07:52.3021899Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0
2025-12-04T09:07:52.3024400Z * 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
2025-12-04T09:07:52.3027086Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0
2025-12-04T09:07:52.3029741Z * 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
2025-12-04T09:07:52.3032452Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0
2025-12-04T09:07:52.3035097Z * 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
2025-12-04T09:07:52.3037784Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0
2025-12-04T09:07:52.3040583Z * 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
2025-12-04T09:07:52.3043596Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0
2025-12-04T09:07:52.3046564Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0, line 4853 <- wrt source file
2025-12-04T09:07:52.3049626Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0
2025-12-04T09:07:52.3052576Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0, line 4883 <- wrt source file
2025-12-04T09:07:52.3055590Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0
2025-12-04T09:07:52.3058371Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0, line 194 <- wrt source file
2025-12-04T09:07:52.3061128Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0
2025-12-04T09:07:52.3063922Z * 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
2025-12-04T09:07:52.3066842Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0
2025-12-04T09:07:52.3070087Z * 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
2025-12-04T09:07:52.3073438Z * 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
2025-12-04T09:07:52.3076737Z * 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
2025-12-04T09:07:52.3080265Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0
2025-12-04T09:07:52.3083139Z * 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
2025-12-04T09:07:52.3085711Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0
2025-12-04T09:07:52.3088191Z * 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
2025-12-04T09:07:52.3090565Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0
2025-12-04T09:07:52.3092915Z * 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
2025-12-04T09:07:52.3095322Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0
2025-12-04T09:07:52.3097807Z * 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
2025-12-04T09:07:52.3100273Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0
2025-12-04T09:07:52.3102574Z * 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
2025-12-04T09:07:52.3109592Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0
2025-12-04T09:07:52.3111877Z * 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
2025-12-04T09:07:52.3118166Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0
2025-12-04T09:07:52.3120515Z * 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
2025-12-04T09:07:52.3127771Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0
2025-12-04T09:07:52.3130065Z * 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
2025-12-04T09:07:52.3141367Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0
2025-12-04T09:07:52.3143708Z * 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
2025-12-04T09:07:52.3160085Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0
2025-12-04T09:07:52.3162497Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file
2025-12-04T09:07:52.3184458Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0
2025-12-04T09:07:52.3186814Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file
2025-12-04T09:07:52.3202652Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0
2025-12-04T09:07:52.3204971Z * 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
2025-12-04T09:07:52.3215533Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0
2025-12-04T09:07:52.3217878Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file
2025-12-04T09:07:52.3229097Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0
2025-12-04T09:07:52.3231671Z * 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
2025-12-04T09:07:52.3234599Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0
2025-12-04T09:07:52.3237640Z * 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
2025-12-04T09:07:52.3240887Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0
2025-12-04T09:07:52.3243780Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0, line 417 <- wrt source file
2025-12-04T09:07:52.3246588Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0
2025-12-04T09:07:52.3249315Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 561 <- wrt source file
2025-12-04T09:07:52.3251963Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0
2025-12-04T09:07:52.3254571Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0, line 763 <- wrt source file
2025-12-04T09:07:52.3257280Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0
2025-12-04T09:07:52.3260019Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file
2025-12-04T09:07:52.3262836Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0
2025-12-04T09:07:52.3265652Z * 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
2025-12-04T09:07:52.3268635Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0
2025-12-04T09:07:52.3271314Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file
2025-12-04T09:07:52.3273820Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0
2025-12-04T09:07:52.3276408Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file
2025-12-04T09:07:52.3278931Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0
2025-12-04T09:07:52.3281420Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file
2025-12-04T09:07:52.3283948Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1
2025-12-04T09:07:52.3286505Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file
2025-12-04T09:07:52.3289064Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0
2025-12-04T09:07:52.3291415Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0, line 1759 <- wrt source file
2025-12-04T09:07:52.3293725Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0
2025-12-04T09:07:52.3296069Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load_inline:0, line 2032 <- wrt source file
2025-12-04T09:07:52.3298644Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load_inline:0
2025-12-04T09:07:52.3300947Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 93 <- wrt source file
2025-12-04T09:07:52.3309344Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0
2025-12-04T09:07:52.3311864Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file
2025-12-04T09:07:52.3314721Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0
2025-12-04T09:07:52.3317525Z * 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
2025-12-04T09:07:52.3887588Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0
2025-12-04T09:07:52.3890292Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file
2025-12-04T09:07:52.3907700Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0
2025-12-04T09:07:52.3910204Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file
2025-12-04T09:07:52.3912682Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0
2025-12-04T09:07:52.3915107Z * 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
2025-12-04T09:07:52.3917578Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0
2025-12-04T09:07:52.3920117Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file
2025-12-04T09:07:52.3922830Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0
2025-12-04T09:07:52.3925536Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file
2025-12-04T09:07:52.3927970Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0
2025-12-04T09:07:52.3930454Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file
2025-12-04T09:07:52.3945076Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0
2025-12-04T09:07:52.3947774Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file
2025-12-04T09:07:52.3955866Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0
2025-12-04T09:07:52.3958368Z * 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
2025-12-04T09:07:52.3963626Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0
2025-12-04T09:07:52.3966148Z * 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
2025-12-04T09:07:52.3973058Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0
2025-12-04T09:07:52.3975587Z * 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
2025-12-04T09:07:52.3987283Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0
2025-12-04T09:07:52.3989974Z * 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
2025-12-04T09:07:52.3994360Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0
2025-12-04T09:07:52.3997195Z * 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
2025-12-04T09:07:52.3999969Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0
2025-12-04T09:07:52.4002819Z * 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
2025-12-04T09:07:52.4005890Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0
2025-12-04T09:07:52.4008953Z * 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
2025-12-04T09:07:52.4012056Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0
2025-12-04T09:07:52.4015131Z * 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
2025-12-04T09:07:52.4018356Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0
2025-12-04T09:07:52.4021456Z * 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
2025-12-04T09:07:52.4128293Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0
2025-12-04T09:07:52.4131336Z * 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
2025-12-04T09:07:52.4134398Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0
2025-12-04T09:07:52.4137350Z * 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
2025-12-04T09:07:52.4140453Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0
2025-12-04T09:07:52.4143524Z * 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
2025-12-04T09:07:52.4146804Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0
2025-12-04T09:07:52.4149968Z * 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
2025-12-04T09:07:52.4153178Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0
2025-12-04T09:07:52.4156263Z * 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
2025-12-04T09:07:52.4159331Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0
2025-12-04T09:07:52.4162433Z * 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
2025-12-04T09:07:52.4165630Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0
2025-12-04T09:07:52.4168840Z * 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
2025-12-04T09:07:52.4172066Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0
2025-12-04T09:07:52.4175137Z * 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
2025-12-04T09:07:52.4178224Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0
2025-12-04T09:07:52.4181275Z * 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
2025-12-04T09:07:52.4184386Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0
2025-12-04T09:07:52.4187419Z * 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
2025-12-04T09:07:52.4190509Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0
2025-12-04T09:07:52.4193636Z * 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
2025-12-04T09:07:52.4196941Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0
2025-12-04T09:07:52.4200075Z * 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
2025-12-04T09:07:52.4203375Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0
2025-12-04T09:07:52.4206640Z * 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
2025-12-04T09:07:52.4209864Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0
2025-12-04T09:07:52.4212896Z * 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
2025-12-04T09:07:52.4215876Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0
2025-12-04T09:07:52.4218933Z * 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
2025-12-04T09:07:52.4222147Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0
2025-12-04T09:07:52.4225231Z * 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
2025-12-04T09:07:52.4228297Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0
2025-12-04T09:07:52.4231283Z * 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
2025-12-04T09:07:52.4234327Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0
2025-12-04T09:07:52.4237315Z * 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
2025-12-04T09:07:52.4240348Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0
2025-12-04T09:07:52.4243378Z * 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
2025-12-04T09:07:52.4246488Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0
2025-12-04T09:07:52.4249556Z * 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
2025-12-04T09:07:52.4252533Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0
2025-12-04T09:07:52.4255452Z * 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
2025-12-04T09:07:52.4258371Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0
2025-12-04T09:07:52.4261262Z * 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
2025-12-04T09:07:53.0341597Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0
2025-12-04T09:07:53.0343567Z * 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
2025-12-04T09:07:53.0345301Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0
2025-12-04T09:07:53.0347284Z * 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
2025-12-04T09:07:53.0349072Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0
2025-12-04T09:07:53.0350693Z * 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
2025-12-04T09:07:53.0352357Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0
2025-12-04T09:07:53.0354106Z * 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
2025-12-04T09:07:53.0355937Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0
2025-12-04T09:07:53.0357598Z * 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
2025-12-04T09:07:53.0359335Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0
2025-12-04T09:07:53.0361215Z * 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
2025-12-04T09:07:53.0362793Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0
2025-12-04T09:07:53.0364437Z * 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
2025-12-04T09:07:53.0365962Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0
2025-12-04T09:07:53.0367568Z * 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
2025-12-04T09:07:53.0369380Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0
2025-12-04T09:07:53.0370878Z * 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
2025-12-04T09:07:53.0372358Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0
2025-12-04T09:07:53.0374491Z * 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
2025-12-04T09:07:53.0376756Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0
2025-12-04T09:07:53.0378927Z * 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
2025-12-04T09:07:53.0380803Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0
2025-12-04T09:07:53.0382696Z * 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
2025-12-04T09:07:53.0385220Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0
2025-12-04T09:07:53.0387803Z * 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
2025-12-04T09:07:53.0390401Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0
2025-12-04T09:07:53.0392035Z * 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
2025-12-04T09:07:53.0393768Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0
2025-12-04T09:07:53.0395720Z * 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
2025-12-04T09:07:53.0397799Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0
2025-12-04T09:07:53.0399556Z * 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
2025-12-04T09:07:53.0401267Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0
2025-12-04T09:07:53.0403021Z * 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
2025-12-04T09:07:53.0404565Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0
2025-12-04T09:07:53.0405405Z ============
2025-12-04T09:07:53.0405682Z Finished doctests
2025-12-04T09:07:53.0405900Z 378 / 894 passed
2025-12-04T09:07:53.0406139Z 
2025-12-04T09:07:53.0406531Z === Found 17 parse-time warnings ===
2025-12-04T09:07:53.0406996Z --- Parse Warning: 1 / 17 ---
2025-12-04T09:07:53.0408274Z     /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.
2025-12-04T09:07:53.0409523Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:53.0410127Z     Registers the function implementation as the fallback for the given key.
2025-12-04T09:07:53.0410571Z     
2025-12-04T09:07:53.0410903Z             This function only works for a library with global namespace ("_").
2025-12-04T09:07:53.0411324Z     
2025-12-04T09:07:53.0411508Z             Args:
2025-12-04T09:07:53.0411940Z                 fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-12-04T09:07:53.0412466Z                     to register a fallthrough.
2025-12-04T09:07:53.0413018Z                 dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-12-04T09:07:53.0413796Z                               the dispatch key that the library was created with.
2025-12-04T09:07:53.0414463Z                 with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-12-04T09:07:53.0415295Z                              to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-12-04T09:07:53.0415816Z     
2025-12-04T09:07:53.0416024Z             Example::
2025-12-04T09:07:53.0416258Z     
2025-12-04T09:07:53.0416468Z                 >>> my_lib = Library("_", "IMPL")
2025-12-04T09:07:53.0416830Z                 >>> def fallback_kernel(op, *args, **kwargs):
2025-12-04T09:07:53.0417300Z                 >>>     # Handle all autocast ops generically
2025-12-04T09:07:53.0417625Z                 >>>     # ...
2025-12-04T09:07:53.0417946Z                 >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T09:07:53.0418299Z             
2025-12-04T09:07:53.0419073Z     Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7))
2025-12-04T09:07:53.0419904Z     
2025-12-04T09:07:53.0420146Z     my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T09:07:53.0420475Z     ^
2025-12-04T09:07:53.0420670Z       warnings.warn(msg)
2025-12-04T09:07:53.0420917Z     
2025-12-04T09:07:53.0421234Z --- Parse Warning: 2 / 17 ---
2025-12-04T09:07:53.0422328Z     /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.
2025-12-04T09:07:53.0423568Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:53.0424170Z     Register a FakeTensor implementation ("fake impl") for this operator.
2025-12-04T09:07:53.0424606Z     
2025-12-04T09:07:53.0424883Z         Also sometimes known as a "meta kernel", "abstract impl".
2025-12-04T09:07:53.0425258Z     
2025-12-04T09:07:53.0425609Z         An "FakeTensor implementation" specifies the behavior of this operator on
2025-12-04T09:07:53.0426189Z         Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-12-04T09:07:53.0426768Z         certain properties (sizes/strides/storage_offset/device), it specifies
2025-12-04T09:07:53.0427271Z         what the properties of the output Tensors are.
2025-12-04T09:07:53.0427608Z     
2025-12-04T09:07:53.0427938Z         The FakeTensor implementation has the same signature as the operator.
2025-12-04T09:07:53.0428506Z         It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-12-04T09:07:53.0429054Z         implementation, assume that all Tensor inputs to the operator are
2025-12-04T09:07:53.0429588Z         regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-12-04T09:07:53.0430121Z         you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-12-04T09:07:53.0430679Z         The FakeTensor implementation must consist of only PyTorch operations
2025-12-04T09:07:53.0431226Z         (and may not directly access the storage or data of any input or
2025-12-04T09:07:53.0431628Z         intermediate Tensors).
2025-12-04T09:07:53.0431901Z     
2025-12-04T09:07:53.0432165Z         This API may be used as a decorator (see examples).
2025-12-04T09:07:53.0432501Z     
2025-12-04T09:07:53.0432755Z         For a detailed guide on custom ops, please see
2025-12-04T09:07:53.0433257Z         https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-12-04T09:07:53.0433678Z     
2025-12-04T09:07:53.0433870Z         Args:
2025-12-04T09:07:53.0434228Z             op_name: Operator name (along with the overload) or OpOverload object.
2025-12-04T09:07:53.0434681Z             func: Fake tensor implementation.
2025-12-04T09:07:53.0435210Z             lib (Optional[Library]): Library to register the fake tensor to.
2025-12-04T09:07:53.0435715Z             allow_override: Flag controlling if we want to override an
2025-12-04T09:07:53.0436201Z                             existing registered fake impl. This is by default off,
2025-12-04T09:07:53.0436669Z                             and will error you're trying to register a fake impl to
2025-12-04T09:07:53.0437149Z                             an operator that already has a fake impl. This also only
2025-12-04T09:07:53.0437614Z                             applies if the custom operator was not created via
2025-12-04T09:07:53.0438093Z                             torch.library.custom_op, as overriding and existing fake
2025-12-04T09:07:53.0438512Z                             impl is already allowed.
2025-12-04T09:07:53.0438884Z     
2025-12-04T09:07:53.0439080Z         Examples:
2025-12-04T09:07:53.0439304Z             >>> import torch
2025-12-04T09:07:53.0439584Z             >>> import numpy as np
2025-12-04T09:07:53.0439891Z             >>> from torch import Tensor
2025-12-04T09:07:53.0440176Z             >>>
2025-12-04T09:07:53.0440500Z             >>> # Example 1: an operator without data-dependent output shape
2025-12-04T09:07:53.0441027Z             >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-12-04T09:07:53.0441573Z             >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T09:07:53.0442094Z             >>>     raise NotImplementedError("Implementation goes here")
2025-12-04T09:07:53.0442474Z             >>>
2025-12-04T09:07:53.0442777Z             >>> @torch.library.register_fake("mylib::custom_linear")
2025-12-04T09:07:53.0443149Z             >>> def _(x, weight, bias):
2025-12-04T09:07:53.0443465Z             >>>     assert x.dim() == 2
2025-12-04T09:07:53.0443783Z             >>>     assert weight.dim() == 2
2025-12-04T09:07:53.0444094Z             >>>     assert bias.dim() == 1
2025-12-04T09:07:53.0444439Z             >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T09:07:53.0444807Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T09:07:53.0445175Z             >>>     assert x.device == weight.device
2025-12-04T09:07:53.0445498Z             >>>
2025-12-04T09:07:53.0445745Z             >>>     return (x @ weight.t()) + bias
2025-12-04T09:07:53.0446048Z             >>>
2025-12-04T09:07:53.0446354Z             >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-12-04T09:07:53.0446751Z             >>>     x = torch.randn(2, 3)
2025-12-04T09:07:53.0447058Z             >>>     w = torch.randn(3, 3)
2025-12-04T09:07:53.0447466Z             >>>     b = torch.randn(3)
2025-12-04T09:07:53.0447815Z             >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-12-04T09:07:53.0448164Z             >>>
2025-12-04T09:07:53.0448393Z             >>> assert y.shape == (2, 3)
2025-12-04T09:07:53.0448695Z             >>>
2025-12-04T09:07:53.0449005Z             >>> # Example 2: an operator with data-dependent output shape
2025-12-04T09:07:53.0449519Z             >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-12-04T09:07:53.0449999Z             >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-12-04T09:07:53.0450359Z             >>>     x_np = x.numpy(force=True)
2025-12-04T09:07:53.0450708Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T09:07:53.0451091Z             >>>     return torch.tensor(res, device=x.device)
2025-12-04T09:07:53.0451424Z             >>>
2025-12-04T09:07:53.0451729Z             >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-12-04T09:07:53.0452094Z             >>> def _(x):
2025-12-04T09:07:53.0452405Z             >>> # Number of nonzero-elements is data-dependent.
2025-12-04T09:07:53.0452830Z             >>> # Since we cannot peek at the data in an fake impl,
2025-12-04T09:07:53.0453246Z             >>> # we use the ctx object to construct a new symint that
2025-12-04T09:07:53.0453653Z             >>> # represents the data-dependent size.
2025-12-04T09:07:53.0454096Z             >>>     ctx = torch.library.get_ctx()
2025-12-04T09:07:53.0454430Z             >>>     nnz = ctx.new_dynamic_size()
2025-12-04T09:07:53.0454767Z             >>>     shape = [nnz, x.dim()]
2025-12-04T09:07:53.0455131Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T09:07:53.0455493Z             >>>     return result
2025-12-04T09:07:53.0455752Z             >>>
2025-12-04T09:07:53.0456060Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-12-04T09:07:53.0456438Z             >>>
2025-12-04T09:07:53.0456672Z             >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-12-04T09:07:53.0457146Z             >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-12-04T09:07:53.0457685Z             >>> trace.print_readable()
2025-12-04T09:07:53.0457969Z             >>>
2025-12-04T09:07:53.0458324Z             >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-12-04T09:07:53.0458755Z     
2025-12-04T09:07:53.0458932Z         
2025-12-04T09:07:53.0459590Z     Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-12-04T09:07:53.0460332Z     
2025-12-04T09:07:53.0460523Z     _._ = None
2025-12-04T09:07:53.0460724Z     ^
2025-12-04T09:07:53.0460932Z       warnings.warn(msg)
2025-12-04T09:07:53.0461179Z     
2025-12-04T09:07:53.0461514Z --- Parse Warning: 3 / 17 ---
2025-12-04T09:07:53.0462613Z     /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.
2025-12-04T09:07:53.0463884Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:53.0464506Z     Returns the computed kernel for a given operator and dispatch key.
2025-12-04T09:07:53.0464910Z     
2025-12-04T09:07:53.0465245Z         This function retrieves the kernel that would be executed for a given
2025-12-04T09:07:53.0465824Z         operator and dispatch key combination. The returned SafeKernelFunction
2025-12-04T09:07:53.0466363Z         can be used to call the kernel in a boxed fashion. The intended use
2025-12-04T09:07:53.0466889Z         case for this function is to retrieve the original kernel for a given
2025-12-04T09:07:53.0467445Z         dispatch key and then register another kernel to the same dispatch key
2025-12-04T09:07:53.0467951Z         that calls into the original kernel for certain cases.
2025-12-04T09:07:53.0468295Z     
2025-12-04T09:07:53.0468486Z         Args:
2025-12-04T09:07:53.0468813Z             op: Operator name (along with the overload) or OpOverload object
2025-12-04T09:07:53.0469354Z                 Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-12-04T09:07:53.0469957Z             dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-12-04T09:07:53.0470532Z                 Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-12-04T09:07:53.0470914Z     
2025-12-04T09:07:53.0471107Z         Returns:
2025-12-04T09:07:53.0471489Z             torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-12-04T09:07:53.0471951Z                 call the kernel.
2025-12-04T09:07:53.0472205Z     
2025-12-04T09:07:53.0472396Z         Raises:
2025-12-04T09:07:53.0472673Z             RuntimeError: If the operator does not exist.
2025-12-04T09:07:53.0473000Z     
2025-12-04T09:07:53.0473192Z         Example:
2025-12-04T09:07:53.0473443Z             >>> # Get the CPU kernel for torch.add
2025-12-04T09:07:53.0473861Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-12-04T09:07:53.0474256Z             >>>
2025-12-04T09:07:53.0474506Z             >>> # You can also use DispatchKey enum
2025-12-04T09:07:53.0474988Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-12-04T09:07:53.0475530Z             >>>
2025-12-04T09:07:53.0475774Z             >>> # Or use an OpOverload directly
2025-12-04T09:07:53.0476231Z             >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-12-04T09:07:53.0476650Z             >>>
2025-12-04T09:07:53.0476999Z             >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-12-04T09:07:53.0477468Z             >>> # Get the original kernel for torch.sin
2025-12-04T09:07:53.0477916Z             >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-12-04T09:07:53.0478340Z             >>>
2025-12-04T09:07:53.0478699Z             >>> # If input has negative values, use original sin, otherwise return zeros
2025-12-04T09:07:53.0479342Z             >>> def conditional_sin_impl(dispatch_keys, x):
2025-12-04T09:07:53.0479686Z             >>>     if (x < 0).any():
2025-12-04T09:07:53.0480068Z             >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-12-04T09:07:53.0480468Z             >>>     else:
2025-12-04T09:07:53.0480735Z             >>>         return torch.zeros_like(x)
2025-12-04T09:07:53.0481049Z             >>>
2025-12-04T09:07:53.0481318Z             >>> lib = torch.library.Library("aten", "IMPL")
2025-12-04T09:07:53.0481817Z             >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-12-04T09:07:53.0482386Z             >>> which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T09:07:53.0482958Z             >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-12-04T09:07:53.0483356Z             >>>
2025-12-04T09:07:53.0483590Z             >>> # Test the conditional behavior
2025-12-04T09:07:53.0483952Z             >>> x_positive = torch.tensor([1.0, 2.0])
2025-12-04T09:07:53.0484312Z             >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-12-04T09:07:53.0484641Z             >>> torch.sin(x_positive)
2025-12-04T09:07:53.0484952Z             tensor([0., 0.])
2025-12-04T09:07:53.0485233Z             >>> torch.sin(x_mixed)
2025-12-04T09:07:53.0485520Z             tensor([-0.8415, 0.9093])
2025-12-04T09:07:53.0485812Z         
2025-12-04T09:07:53.0486429Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-12-04T09:07:53.0487230Z     
2025-12-04T09:07:53.0487518Z     which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T09:07:53.0487909Z           ^
2025-12-04T09:07:53.0488131Z       warnings.warn(msg)
2025-12-04T09:07:53.0488371Z     
2025-12-04T09:07:53.0488710Z --- Parse Warning: 4 / 17 ---
2025-12-04T09:07:53.0489861Z     /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.
2025-12-04T09:07:53.0491179Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:53.0491789Z     Check if the current accelerator is available at runtime: it was build, all the
2025-12-04T09:07:53.0492382Z         required drivers are available and at least one device is visible.
2025-12-04T09:07:53.0492873Z         See :ref:`accelerator<accelerators>` for details.
2025-12-04T09:07:53.0493206Z     
2025-12-04T09:07:53.0493401Z         Returns:
2025-12-04T09:07:53.0493813Z             bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-12-04T09:07:53.0494295Z     
2025-12-04T09:07:53.0494636Z         .. note:: This API delegates to the device-specific version of `is_available`.
2025-12-04T09:07:53.0495267Z             On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-12-04T09:07:53.0495908Z             this function will NOT poison fork. Otherwise, it will. For more details, see
2025-12-04T09:07:53.0496497Z             :ref:`multiprocessing-poison-fork-note`.
2025-12-04T09:07:53.0496977Z     
2025-12-04T09:07:53.0497177Z         Example::
2025-12-04T09:07:53.0497387Z     
2025-12-04T09:07:53.0497769Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:07:53.0498251Z         
2025-12-04T09:07:53.0498938Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-12-04T09:07:53.0499691Z     
2025-12-04T09:07:53.0500065Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:07:53.0500546Z                                             ^
2025-12-04T09:07:53.0500843Z       warnings.warn(msg)
2025-12-04T09:07:53.0501091Z     
2025-12-04T09:07:53.0501514Z --- Parse Warning: 5 / 17 ---
2025-12-04T09:07:53.0502667Z     /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.
2025-12-04T09:07:53.0503953Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:53.0504532Z     Wait for all kernels in all streams on the given device to complete.
2025-12-04T09:07:53.0504940Z     
2025-12-04T09:07:53.0505120Z         Args:
2025-12-04T09:07:53.0505569Z             device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-12-04T09:07:53.0506242Z                 the current :ref:`accelerator<accelerators>` device type. If not given,
2025-12-04T09:07:53.0506796Z                 use :func:`torch.accelerator.current_device_index` by default.
2025-12-04T09:07:53.0507180Z     
2025-12-04T09:07:53.0507606Z         .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-12-04T09:07:53.0508121Z     
2025-12-04T09:07:53.0508309Z         Example::
2025-12-04T09:07:53.0508528Z     
2025-12-04T09:07:53.0508773Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-12-04T09:07:53.0509284Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:07:53.0509820Z             >>> start_event = torch.Event(enable_timing=True)
2025-12-04T09:07:53.0510214Z             >>> end_event = torch.Event(enable_timing=True)
2025-12-04T09:07:53.0510568Z             >>> start_event.record()
2025-12-04T09:07:53.0511003Z             >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-12-04T09:07:53.0511473Z             >>> sum = torch.sum(tensor)
2025-12-04T09:07:53.0511789Z             >>> end_event.record()
2025-12-04T09:07:53.0512104Z             >>> torch.accelerator.synchronize()
2025-12-04T09:07:53.0512512Z             >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-12-04T09:07:53.0512881Z         
2025-12-04T09:07:53.0513557Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-12-04T09:07:53.0514329Z     
2025-12-04T09:07:53.0514700Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:07:53.0515183Z                                             ^
2025-12-04T09:07:53.0515482Z       warnings.warn(msg)
2025-12-04T09:07:53.0515729Z     
2025-12-04T09:07:53.0516023Z --- Parse Warning: 6 / 17 ---
2025-12-04T09:07:53.0517101Z     /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.
2025-12-04T09:07:53.0518326Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:53.0518814Z     Retrieves the CUDA runtime API module.
2025-12-04T09:07:53.0519120Z     
2025-12-04T09:07:53.0519392Z     
2025-12-04T09:07:53.0519754Z         This function initializes the CUDA runtime environment if it is not already
2025-12-04T09:07:53.0520362Z         initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-12-04T09:07:53.0520926Z         runtime API module provides access to various CUDA runtime functions.
2025-12-04T09:07:53.0521352Z     
2025-12-04T09:07:53.0521550Z         Args:
2025-12-04T09:07:53.0521753Z             ``None``
2025-12-04T09:07:53.0521983Z     
2025-12-04T09:07:53.0522186Z         Returns:
2025-12-04T09:07:53.0522453Z             module: The CUDA runtime API module (_cudart).
2025-12-04T09:07:53.0522793Z     
2025-12-04T09:07:53.0522982Z         Raises:
2025-12-04T09:07:53.0523333Z             RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-12-04T09:07:53.0524105Z             AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-12-04T09:07:53.0524673Z     
2025-12-04T09:07:53.0524920Z         Example of CUDA operations with profiling:
2025-12-04T09:07:53.0525252Z             >>> import torch
2025-12-04T09:07:53.0525562Z             >>> from torch.cuda import cudart, check_error
2025-12-04T09:07:53.0525917Z             >>> import os
2025-12-04T09:07:53.0526155Z             >>>
2025-12-04T09:07:53.0526409Z             >>> os.environ["CUDA_PROFILE"] = "1"
2025-12-04T09:07:53.0526725Z             >>>
2025-12-04T09:07:53.0526983Z             >>> def perform_cuda_operations_with_streams():
2025-12-04T09:07:53.0527443Z             >>>     stream = torch.cuda.Stream()
2025-12-04T09:07:53.0527799Z             >>>     with torch.cuda.stream(stream):
2025-12-04T09:07:53.0528169Z             >>>         x = torch.randn(100, 100, device='cuda')
2025-12-04T09:07:53.0528539Z             >>>         y = torch.randn(100, 100, device='cuda')
2025-12-04T09:07:53.0528891Z             >>>         z = torch.mul(x, y)
2025-12-04T09:07:53.0529203Z             >>>     return z
2025-12-04T09:07:53.0529452Z             >>>
2025-12-04T09:07:53.0529703Z             >>> torch.cuda.synchronize()
2025-12-04T09:07:53.0530061Z             >>> print("====== Start nsys profiling ======")
2025-12-04T09:07:53.0530437Z             >>> check_error(cudart().cudaProfilerStart())
2025-12-04T09:07:53.0530831Z             >>> with torch.autograd.profiler.emit_nvtx():
2025-12-04T09:07:53.0531240Z             >>>     result = perform_cuda_operations_with_streams()
2025-12-04T09:07:53.0531638Z             >>>     print("CUDA operations completed.")
2025-12-04T09:07:53.0532032Z             >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-12-04T09:07:53.0532442Z             >>> print("====== End nsys profiling ======")
2025-12-04T09:07:53.0532769Z     
2025-12-04T09:07:53.0533069Z         To run this example and save the profiling information, execute:
2025-12-04T09:07:53.0533751Z             >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T09:07:53.0534318Z     
2025-12-04T09:07:53.0534661Z         This command profiles the CUDA operations in the provided script and saves
2025-12-04T09:07:53.0535223Z         the profiling information to a file named `trace_name.prof`.
2025-12-04T09:07:53.0535765Z         The `--profile-from-start off` option ensures that profiling starts only
2025-12-04T09:07:53.0536263Z         after the `cudaProfilerStart` call in the script.
2025-12-04T09:07:53.0536736Z         The `--csv` and `--print-summary` options format the profiling output as a
2025-12-04T09:07:53.0537213Z         CSV file and print a summary, respectively.
2025-12-04T09:07:53.0537707Z         The `-o` option specifies the output file name, and the `-f` option forces the
2025-12-04T09:07:53.0538220Z         overwrite of the output file if it already exists.
2025-12-04T09:07:53.0538576Z         
2025-12-04T09:07:53.0539358Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2))
2025-12-04T09:07:53.0540289Z     
2025-12-04T09:07:53.0540739Z     $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T09:07:53.0541293Z     ^
2025-12-04T09:07:53.0541504Z       warnings.warn(msg)
2025-12-04T09:07:53.0541739Z     
2025-12-04T09:07:53.0542058Z --- Parse Warning: 7 / 17 ---
2025-12-04T09:07:53.0543152Z     /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.
2025-12-04T09:07:53.0544360Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:53.0544797Z     
2025-12-04T09:07:53.0545183Z     vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-12-04T09:07:53.0545724Z     maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-12-04T09:07:53.0546251Z     pushes the map into PyTorch operations called by ``func``, effectively
2025-12-04T09:07:53.0546700Z     vectorizing those operations.
2025-12-04T09:07:53.0546983Z     
2025-12-04T09:07:53.0547296Z     vmap is useful for handling batch dimensions: one can write a function
2025-12-04T09:07:53.0547837Z     ``func`` that runs on examples and then lift it to a function that can
2025-12-04T09:07:53.0548379Z     take batches of examples with ``vmap(func)``. vmap can also be used to
2025-12-04T09:07:53.0548887Z     compute batched gradients when composed with autograd.
2025-12-04T09:07:53.0549236Z     
2025-12-04T09:07:53.0549438Z     .. note::
2025-12-04T09:07:53.0549751Z         :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-12-04T09:07:53.0550175Z         convenience. Use whichever one you'd like.
2025-12-04T09:07:53.0550499Z     
2025-12-04T09:07:53.0550691Z     Args:
2025-12-04T09:07:53.0551007Z         func (function): A Python function that takes one or more arguments.
2025-12-04T09:07:53.0551456Z             Must return one or more Tensors.
2025-12-04T09:07:53.0551884Z         in_dims (int or nested structure): Specifies which dimension of the
2025-12-04T09:07:53.0552381Z             inputs should be mapped over. ``in_dims`` should have a
2025-12-04T09:07:53.0552850Z             structure like the inputs. If the ``in_dim`` for a particular
2025-12-04T09:07:53.0553349Z             input is None, then that indicates there is no map dimension.
2025-12-04T09:07:53.0553747Z             Default: 0.
2025-12-04T09:07:53.0554085Z         out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-12-04T09:07:53.0554598Z             should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-12-04T09:07:53.0555067Z             it should have one element per output. Default: 0.
2025-12-04T09:07:53.0555527Z         randomness (str): Specifies whether the randomness in this
2025-12-04T09:07:53.0556022Z             vmap should be the same or different across batches. If 'different',
2025-12-04T09:07:53.0556561Z             the randomness for each batch will be different. If 'same', the
2025-12-04T09:07:53.0557096Z             randomness will be the same across batches. If 'error', any calls to
2025-12-04T09:07:53.0557626Z             random functions will error. Default: 'error'. WARNING: this flag
2025-12-04T09:07:53.0558157Z             only applies to random PyTorch operations and does not apply to
2025-12-04T09:07:53.0558612Z             Python's random module or numpy randomness.
2025-12-04T09:07:53.0559088Z         chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-12-04T09:07:53.0559647Z             If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-12-04T09:07:53.0560250Z             Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-12-04T09:07:53.0560897Z             If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-12-04T09:07:53.0561418Z     
2025-12-04T09:07:53.0561612Z     Returns:
2025-12-04T09:07:53.0561931Z         Returns a new "batched" function. It takes the same inputs as
2025-12-04T09:07:53.0562424Z         ``func``, except each input has an extra dimension at the index
2025-12-04T09:07:53.0562905Z         specified by ``in_dims``. It takes returns the same outputs as
2025-12-04T09:07:53.0563401Z         ``func``, except each output has an extra dimension at the index
2025-12-04T09:07:53.0563807Z         specified by ``out_dims``.
2025-12-04T09:07:53.0564076Z     
2025-12-04T09:07:53.0564267Z     .. warning:
2025-12-04T09:07:53.0575401Z         :func:`vmap` works best with functional-style code. Please do not
2025-12-04T09:07:53.0576088Z         perform any side-effects in ``func``, with the exception of
2025-12-04T09:07:53.0576778Z         in-place PyTorch operations. Examples of side-effects include mutating
2025-12-04T09:07:53.0577379Z         Python data structures and assigning values to variables not captured
2025-12-04T09:07:53.0577819Z         in ``func``.
2025-12-04T09:07:53.0578060Z     
2025-12-04T09:07:53.0578421Z     One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-12-04T09:07:53.0578988Z     doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-12-04T09:07:53.0579550Z     rummaging through docs, use :func:`vmap` to construct a new function.
2025-12-04T09:07:53.0579975Z     
2025-12-04T09:07:53.0580198Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T09:07:53.0580607Z         >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-12-04T09:07:53.0581062Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T09:07:53.0581407Z         >>> batched_dot(x, y)
2025-12-04T09:07:53.0581659Z     
2025-12-04T09:07:53.0582006Z     :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-12-04T09:07:53.0582463Z     model authoring experience.
2025-12-04T09:07:53.0582726Z     
2025-12-04T09:07:53.0582954Z         >>> batch_size, feature_size = 3, 5
2025-12-04T09:07:53.0583352Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T09:07:53.0583713Z         >>>
2025-12-04T09:07:53.0583937Z         >>> def model(feature_vec):
2025-12-04T09:07:53.0584272Z         >>> # Very simple linear model with activation
2025-12-04T09:07:53.0584643Z         >>>     return feature_vec.dot(weights).relu()
2025-12-04T09:07:53.0584950Z         >>>
2025-12-04T09:07:53.0585222Z         >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T09:07:53.0585606Z         >>> result = torch.vmap(model)(examples)
2025-12-04T09:07:53.0585907Z     
2025-12-04T09:07:53.0586272Z     :func:`vmap` can also help vectorize computations that were previously difficult
2025-12-04T09:07:53.0586885Z     or impossible to batch. One example is higher-order gradient computation.
2025-12-04T09:07:53.0587461Z     The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-12-04T09:07:53.0588042Z     Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-12-04T09:07:53.0588646Z     requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-12-04T09:07:53.0589255Z     we can vectorize the whole computation, computing the Jacobian in a single
2025-12-04T09:07:53.0589707Z     call to ``autograd.grad``.
2025-12-04T09:07:53.0589978Z     
2025-12-04T09:07:53.0590177Z         >>> # Setup
2025-12-04T09:07:53.0590391Z         >>> N = 5
2025-12-04T09:07:53.0590625Z         >>> f = lambda x: x**2
2025-12-04T09:07:53.0590928Z         >>> x = torch.randn(N, requires_grad=True)
2025-12-04T09:07:53.0591244Z         >>> y = f(x)
2025-12-04T09:07:53.0591487Z         >>> I_N = torch.eye(N)
2025-12-04T09:07:53.0591752Z         >>>
2025-12-04T09:07:53.0591967Z         >>> # Sequential approach
2025-12-04T09:07:53.0592383Z         >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-12-04T09:07:53.0592831Z         >>>                  for v in I_N.unbind()]
2025-12-04T09:07:53.0593261Z         >>> jacobian = torch.stack(jacobian_rows)
2025-12-04T09:07:53.0593568Z         >>>
2025-12-04T09:07:53.0593816Z         >>> # vectorized gradient computation
2025-12-04T09:07:53.0594145Z         >>> def get_vjp(v):
2025-12-04T09:07:53.0594432Z         >>>     return torch.autograd.grad(y, x, v)
2025-12-04T09:07:53.0594795Z         >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-12-04T09:07:53.0595117Z     
2025-12-04T09:07:53.0595495Z     :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-12-04T09:07:53.0595955Z     
2025-12-04T09:07:53.0596175Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T09:07:53.0596496Z         >>> batched_dot = torch.vmap(
2025-12-04T09:07:53.0596968Z         ...     torch.vmap(torch.dot)
2025-12-04T09:07:53.0597464Z         ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-12-04T09:07:53.0597836Z         >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-12-04T09:07:53.0598209Z         >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-12-04T09:07:53.0598536Z     
2025-12-04T09:07:53.0598888Z     If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-12-04T09:07:53.0599394Z     the dimension that each inputs are batched along as
2025-12-04T09:07:53.0599743Z     
2025-12-04T09:07:53.0599955Z         >>> torch.dot  # [N], [N] -> []
2025-12-04T09:07:53.0600386Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-12-04T09:07:53.0600844Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T09:07:53.0601176Z         >>> batched_dot(
2025-12-04T09:07:53.0601424Z         ...     x, y
2025-12-04T09:07:53.0601748Z         ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-12-04T09:07:53.0602140Z     
2025-12-04T09:07:53.0602515Z     If there are multiple inputs each of which is batched along different dimensions,
2025-12-04T09:07:53.0603089Z     ``in_dims`` must be a tuple with the batch dimension for each input as
2025-12-04T09:07:53.0603499Z     
2025-12-04T09:07:53.0603712Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T09:07:53.0604161Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-12-04T09:07:53.0604634Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T09:07:53.0604964Z         >>> batched_dot(
2025-12-04T09:07:53.0605207Z         ...     x, y
2025-12-04T09:07:53.0605534Z         ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-12-04T09:07:53.0605927Z     
2025-12-04T09:07:53.0606275Z     If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-12-04T09:07:53.0606733Z     matching the shape of the input:
2025-12-04T09:07:53.0607023Z     
2025-12-04T09:07:53.0607372Z         >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-12-04T09:07:53.0607743Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T09:07:53.0608082Z         >>> input = {"x": x, "y": y}
2025-12-04T09:07:53.0608468Z         >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-12-04T09:07:53.0608867Z         >>> batched_dot(input)
2025-12-04T09:07:53.0609118Z     
2025-12-04T09:07:53.0609509Z     By default, the output is batched along the first dimension. However, it can be batched
2025-12-04T09:07:53.0610032Z     along any dimension by using ``out_dims``
2025-12-04T09:07:53.0610333Z     
2025-12-04T09:07:53.0610538Z         >>> f = lambda x: x**2
2025-12-04T09:07:53.0610815Z         >>> x = torch.randn(2, 5)
2025-12-04T09:07:53.0611120Z         >>> batched_pow = torch.vmap(f, out_dims=1)
2025-12-04T09:07:53.0611457Z         >>> batched_pow(x)  # [5, 2]
2025-12-04T09:07:53.0611741Z     
2025-12-04T09:07:53.0612135Z     For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-12-04T09:07:53.0612647Z     accept kwargs
2025-12-04T09:07:53.0612869Z     
2025-12-04T09:07:53.0613076Z         >>> x = torch.randn([2, 5])
2025-12-04T09:07:53.0613365Z         >>> def fn(x, scale=4.):
2025-12-04T09:07:53.0613763Z         >>>   return x * scale
2025-12-04T09:07:53.0614026Z         >>>
2025-12-04T09:07:53.0614243Z         >>> batched_pow = torch.vmap(fn)
2025-12-04T09:07:53.0614601Z         >>> assert torch.allclose(batched_pow(x), x * 4)
2025-12-04T09:07:53.0615083Z         >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-12-04T09:07:53.0615498Z     
2025-12-04T09:07:53.0615702Z     .. note::
2025-12-04T09:07:53.0616049Z         vmap does not provide general autobatching or handle variable-length
2025-12-04T09:07:53.0616478Z         sequences out of the box.
2025-12-04T09:07:53.0616754Z     
2025-12-04T09:07:53.0617453Z     Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-12-04T09:07:53.0618187Z     
2025-12-04T09:07:53.0618366Z     _._ = None
2025-12-04T09:07:53.0618578Z     ^
2025-12-04T09:07:53.0618787Z       warnings.warn(msg)
2025-12-04T09:07:53.0619027Z     
2025-12-04T09:07:53.0619385Z --- Parse Warning: 8 / 17 ---
2025-12-04T09:07:53.0620488Z     /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.
2025-12-04T09:07:53.0621691Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:53.0622297Z     ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-12-04T09:07:53.0622853Z         input(s) specified by ``argnums``. This operator can be nested to
2025-12-04T09:07:53.0623289Z         compute higher-order gradients.
2025-12-04T09:07:53.0623579Z     
2025-12-04T09:07:53.0623772Z         Args:
2025-12-04T09:07:53.0624113Z             func (Callable): A Python function that takes one or more arguments.
2025-12-04T09:07:53.0624695Z                 Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-12-04T09:07:53.0625350Z                 function can return a tuple of single-element Tensor and other auxiliary objects:
2025-12-04T09:07:53.0625836Z                 ``(output, aux)``.
2025-12-04T09:07:53.0626307Z             argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-12-04T09:07:53.0626897Z                 ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-12-04T09:07:53.0627444Z             has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-12-04T09:07:53.0627954Z                 auxiliary objects: ``(output, aux)``. Default: False.
2025-12-04T09:07:53.0628304Z     
2025-12-04T09:07:53.0628500Z         Returns:
2025-12-04T09:07:53.0628925Z             Function to compute gradients with respect to its inputs. By default, the output of
2025-12-04T09:07:53.0629552Z             the function is the gradient tensor(s) with respect to the first argument.
2025-12-04T09:07:53.0630190Z             If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-12-04T09:07:53.0630840Z             is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-12-04T09:07:53.0631362Z             respect to each ``argnums`` value is returned.
2025-12-04T09:07:53.0631691Z     
2025-12-04T09:07:53.0631904Z         Example of using ``grad``:
2025-12-04T09:07:53.0632187Z     
2025-12-04T09:07:53.0632386Z             >>> # xdoctest: +SKIP
2025-12-04T09:07:53.0632690Z             >>> from torch.func import grad
2025-12-04T09:07:53.0633014Z             >>> x = torch.randn([])
2025-12-04T09:07:53.0633327Z             >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-12-04T09:07:53.0633694Z             >>> assert torch.allclose(cos_x, x.cos())
2025-12-04T09:07:53.0634022Z             >>>
2025-12-04T09:07:53.0634263Z             >>> # Second-order gradients
2025-12-04T09:07:53.0634617Z             >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-12-04T09:07:53.0635086Z             >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-12-04T09:07:53.0635418Z     
2025-12-04T09:07:53.0635770Z         When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-12-04T09:07:53.0636223Z     
2025-12-04T09:07:53.0636430Z             >>> # xdoctest: +SKIP
2025-12-04T09:07:53.0636729Z             >>> from torch.func import grad, vmap
2025-12-04T09:07:53.0637079Z             >>> batch_size, feature_size = 3, 5
2025-12-04T09:07:53.0637386Z             >>>
2025-12-04T09:07:53.0637622Z             >>> def model(weights, feature_vec):
2025-12-04T09:07:53.0637984Z             >>> # Very simple linear model with activation
2025-12-04T09:07:53.0638344Z             >>>     assert feature_vec.dim() == 1
2025-12-04T09:07:53.0638748Z             >>>     return feature_vec.dot(weights).relu()
2025-12-04T09:07:53.0639062Z             >>>
2025-12-04T09:07:53.0639334Z             >>> def compute_loss(weights, example, target):
2025-12-04T09:07:53.0639706Z             >>>     y = model(weights, example)
2025-12-04T09:07:53.0640056Z             >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-12-04T09:07:53.0640390Z             >>>
2025-12-04T09:07:53.0640699Z             >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T09:07:53.0641132Z             >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T09:07:53.0641517Z             >>> targets = torch.randn(batch_size)
2025-12-04T09:07:53.0641872Z             >>> inputs = (weights, examples, targets)
2025-12-04T09:07:53.0642344Z             >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-12-04T09:07:53.0642782Z             ...     *inputs
2025-12-04T09:07:53.0643031Z             ... )
2025-12-04T09:07:53.0643248Z     
2025-12-04T09:07:53.0643527Z         Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-12-04T09:07:53.0643900Z     
2025-12-04T09:07:53.0644110Z             >>> # xdoctest: +SKIP
2025-12-04T09:07:53.0644407Z             >>> from torch.func import grad
2025-12-04T09:07:53.0644743Z             >>> def my_loss_func(y, y_pred):
2025-12-04T09:07:53.0645093Z             >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-12-04T09:07:53.0645443Z             >>>    loss = loss_per_sample.mean()
2025-12-04T09:07:53.0645800Z             >>>    return loss, (y_pred, loss_per_sample)
2025-12-04T09:07:53.0646121Z             >>>
2025-12-04T09:07:53.0646399Z             >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-12-04T09:07:53.0646758Z             >>> y_true = torch.rand(4)
2025-12-04T09:07:53.0647183Z             >>> y_preds = torch.rand(4, requires_grad=True)
2025-12-04T09:07:53.0647550Z             >>> out = fn(y_true, y_preds)
2025-12-04T09:07:53.0648007Z             >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-12-04T09:07:53.0648455Z     
2025-12-04T09:07:53.0648654Z         .. note::
2025-12-04T09:07:53.0648949Z             Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-12-04T09:07:53.0649319Z     
2025-12-04T09:07:53.0649578Z             Case 1: Using ``torch.no_grad`` inside a function:
2025-12-04T09:07:53.0649919Z     
2025-12-04T09:07:53.0650117Z                 >>> # xdoctest: +SKIP
2025-12-04T09:07:53.0650412Z                 >>> def f(x):
2025-12-04T09:07:53.0650697Z                 >>>     with torch.no_grad():
2025-12-04T09:07:53.0650997Z                 >>>         c = x ** 2
2025-12-04T09:07:53.0651290Z                 >>>     return x - c
2025-12-04T09:07:53.0651565Z     
2025-12-04T09:07:53.0651857Z             In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-12-04T09:07:53.0652254Z     
2025-12-04T09:07:53.0652546Z             Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-12-04T09:07:53.0652921Z     
2025-12-04T09:07:53.0653127Z                 >>> # xdoctest: +SKIP
2025-12-04T09:07:53.0653432Z                 >>> with torch.no_grad():
2025-12-04T09:07:53.0653803Z                 >>>     grad(f)(x)
2025-12-04T09:07:53.0654077Z     
2025-12-04T09:07:53.0654407Z             In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-12-04T09:07:53.0654974Z             outer one. This is because ``grad`` is a "function transform": its result
2025-12-04T09:07:53.0655531Z             should not depend on the result of a context manager outside of ``f``.
2025-12-04T09:07:53.0655961Z     
2025-12-04T09:07:53.0656152Z         
2025-12-04T09:07:53.0656790Z     Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-12-04T09:07:53.0657518Z     
2025-12-04T09:07:53.0657713Z     _._ = None
2025-12-04T09:07:53.0657913Z     ^
2025-12-04T09:07:53.0658119Z       warnings.warn(msg)
2025-12-04T09:07:53.0658421Z     
2025-12-04T09:07:53.0658729Z --- Parse Warning: 9 / 17 ---
2025-12-04T09:07:53.0659954Z     /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.
2025-12-04T09:07:53.0661319Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:53.0661871Z     Register a FakeTensor implementation for this custom op.
2025-12-04T09:07:53.0662236Z     
2025-12-04T09:07:53.0662601Z             This is necessary to get the operator to work efficiently with torch.compile.
2025-12-04T09:07:53.0663062Z     
2025-12-04T09:07:53.0663397Z             The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-12-04T09:07:53.0663959Z             specifies the behavior of this operator on Tensors that carry no data.
2025-12-04T09:07:53.0664470Z             Given some input Tensors with certain properties
2025-12-04T09:07:53.0664995Z             (sizes/strides/storage_offset/device), it specifies what the properties of
2025-12-04T09:07:53.0665467Z             the output Tensors are.
2025-12-04T09:07:53.0665750Z     
2025-12-04T09:07:53.0666067Z             Please see :func:`torch.library.register_fake` for more details.
2025-12-04T09:07:53.0666476Z     
2025-12-04T09:07:53.0666659Z             Args:
2025-12-04T09:07:53.0666972Z                 fn (Callable): The function to register as the FakeTensor
2025-12-04T09:07:53.0667367Z                     implementation.
2025-12-04T09:07:53.0667635Z     
2025-12-04T09:07:53.0667833Z             Examples:
2025-12-04T09:07:53.0668080Z                 >>> import torch
2025-12-04T09:07:53.0668355Z                 >>> import numpy as np
2025-12-04T09:07:53.0668676Z                 >>> from torch import Tensor
2025-12-04T09:07:53.0668975Z                 >>>
2025-12-04T09:07:53.0669294Z                 >>> # Example 1: an operator without data-dependent output shape
2025-12-04T09:07:53.0669796Z                 >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-12-04T09:07:53.0670297Z                 >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T09:07:53.0670728Z                 >>>     return (x @ weight.t()) + bias
2025-12-04T09:07:53.0671033Z                 >>>
2025-12-04T09:07:53.0671278Z                 >>> @linear.register_fake
2025-12-04T09:07:53.0671600Z                 >>> def _(x, weight, bias):
2025-12-04T09:07:53.0671908Z                 >>>     assert x.dim() == 2
2025-12-04T09:07:53.0672234Z                 >>>     assert weight.dim() == 2
2025-12-04T09:07:53.0672570Z                 >>>     assert bias.dim() == 1
2025-12-04T09:07:53.0672906Z                 >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T09:07:53.0673282Z                 >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T09:07:53.0673659Z                 >>>     assert x.device == weight.device
2025-12-04T09:07:53.0674043Z                 >>>     return x.new_empty(x.size(0), weight.size(0))
2025-12-04T09:07:53.0674378Z                 >>>
2025-12-04T09:07:53.0674750Z                 >>> x = torch.randn(2, 2)
2025-12-04T09:07:53.0675080Z                 >>> weight = torch.randn(2, 2)
2025-12-04T09:07:53.0675394Z                 >>> bias = torch.randn(2)
2025-12-04T09:07:53.0675743Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:07:53.0676190Z                 >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-12-04T09:07:53.0676625Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:07:53.0677123Z                 >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-12-04T09:07:53.0677574Z                 >>>
2025-12-04T09:07:53.0677890Z                 >>> # Example 2: an operator with data-dependent output shape
2025-12-04T09:07:53.0678426Z                 >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-12-04T09:07:53.0678864Z                 >>> def nonzero(x: Tensor) -> Tensor:
2025-12-04T09:07:53.0679208Z                 >>>     x_np = x.cpu().numpy()
2025-12-04T09:07:53.0679553Z                 >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T09:07:53.0679940Z                 >>>     return torch.tensor(res, device=x.device)
2025-12-04T09:07:53.0680275Z                 >>>
2025-12-04T09:07:53.0680522Z                 >>> @nonzero.register_fake
2025-12-04T09:07:53.0680821Z                 >>> def _(x):
2025-12-04T09:07:53.0681149Z                 >>> # Number of nonzero-elements is data-dependent.
2025-12-04T09:07:53.0681583Z                 >>> # Since we cannot peek at the data in an abstract impl,
2025-12-04T09:07:53.0682018Z                 >>> # we use the ctx object to construct a new symint that
2025-12-04T09:07:53.0682425Z                 >>> # represents the data-dependent size.
2025-12-04T09:07:53.0682795Z                 >>>     ctx = torch.library.get_ctx()
2025-12-04T09:07:53.0683139Z                 >>>     nnz = ctx.new_dynamic_size()
2025-12-04T09:07:53.0683481Z                 >>>     shape = [nnz, x.dim()]
2025-12-04T09:07:53.0683856Z                 >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T09:07:53.0684227Z                 >>>     return result
2025-12-04T09:07:53.0684499Z                 >>>
2025-12-04T09:07:53.0684757Z                 >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-12-04T09:07:53.0685126Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:07:53.0685518Z                 >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-12-04T09:07:53.0685921Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:07:53.0686301Z                 >>> assert torch.allclose(out, x.nonzero())
2025-12-04T09:07:53.0686619Z     
2025-12-04T09:07:53.0686814Z             
2025-12-04T09:07:53.0687560Z     Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-12-04T09:07:53.0688308Z     
2025-12-04T09:07:53.0688492Z     _._ = None
2025-12-04T09:07:53.0688710Z     ^
2025-12-04T09:07:53.0688920Z       warnings.warn(msg)
2025-12-04T09:07:53.0689158Z     
2025-12-04T09:07:53.0689480Z --- Parse Warning: 10 / 17 ---
2025-12-04T09:07:53.0690712Z     /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.
2025-12-04T09:07:53.0692072Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-12-04T09:07:53.0692540Z     
2025-12-04T09:07:53.0692880Z     Registers a fake kernel based on the given operator profiles. This fake
2025-12-04T09:07:53.0693479Z     kernel registration will override any existing fake kernel registrations.
2025-12-04T09:07:53.0693924Z     
2025-12-04T09:07:53.0694253Z     The input is a dictionary mapping operator names to a set of operator
2025-12-04T09:07:53.0694819Z     profiles, which we will use to generate fake kernels. The operator profiles
2025-12-04T09:07:53.0695437Z     are a record of the input and output tensor metadata. Based on this
2025-12-04T09:07:53.0695998Z     information we will match a given input to the recorded profile, and return
2025-12-04T09:07:53.0696735Z     an output with the same metadata as in the recorded profile. If a profile
2025-12-04T09:07:53.0697225Z     doesn't exist then an exception will be thrown.
2025-12-04T09:07:53.0697549Z     
2025-12-04T09:07:53.0697891Z     The fake kernel generation is considered unsafe because it relies on the
2025-12-04T09:07:53.0698471Z     rigid, pre-defined operator profiles that do not account for potential
2025-12-04T09:07:53.0699058Z     variations in output behavior. Specifically, the generated kernels assume a
2025-12-04T09:07:53.0699789Z     fixed relationship between input and output ranks. However, in reality, it's
2025-12-04T09:07:53.0700410Z     possible that data-dependent operations may produce outputs of different
2025-12-04T09:07:53.0700999Z     ranks even when given inputs of the same rank. The generated fake kernels
2025-12-04T09:07:53.0701546Z     are inflexible and unable to accommodate these nuances, making them
2025-12-04T09:07:53.0701986Z     potentially unsafe.
2025-12-04T09:07:53.0702228Z     
2025-12-04T09:07:53.0702407Z     Args:
2025-12-04T09:07:53.0702741Z         op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-12-04T09:07:53.0703280Z             name to a set of operator profiles from which we will generate fake
2025-12-04T09:07:53.0703673Z             kernels.
2025-12-04T09:07:53.0703899Z     
2025-12-04T09:07:53.0704093Z     Examples:
2025-12-04T09:07:53.0704290Z     
2025-12-04T09:07:53.0704570Z         >>> # Example: Registering an op-profile from draft-export
2025-12-04T09:07:53.0704946Z         >>> import torch
2025-12-04T09:07:53.0705260Z         >>> from torch.export._draft_export import draft_export
2025-12-04T09:07:53.0705623Z         >>>
2025-12-04T09:07:53.0705928Z         >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-12-04T09:07:53.0706351Z         >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-12-04T09:07:53.0706673Z         >>>     return x + y
2025-12-04T09:07:53.0706929Z         >>>
2025-12-04T09:07:53.0707153Z         >>> class M(torch.nn.Module):
2025-12-04T09:07:53.0707455Z         >>>     def forward(self, a, b):
2025-12-04T09:07:53.0707814Z         >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-12-04T09:07:53.0708168Z         >>>         return res
2025-12-04T09:07:53.0708415Z         >>>
2025-12-04T09:07:53.0708705Z         >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-12-04T09:07:53.0709078Z         >>>
2025-12-04T09:07:53.0709497Z         >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-12-04T09:07:53.0710035Z         >>>     decomp = ep.run_decompositions()
2025-12-04T09:07:53.0710353Z     
2025-12-04T09:07:53.0710544Z     
2025-12-04T09:07:53.0711129Z     Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-12-04T09:07:53.0711817Z     
2025-12-04T09:07:53.0712022Z       warnings.warn(msg)
2025-12-04T09:07:53.0712258Z     
2025-12-04T09:07:53.0712573Z --- Parse Warning: 11 / 17 ---
2025-12-04T09:07:53.0714027Z     /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.
2025-12-04T09:07:53.0715604Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:53.0716045Z     
2025-12-04T09:07:53.0716435Z     The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-12-04T09:07:53.0717051Z     network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-12-04T09:07:53.0717736Z     zeroes out the activations based on the mask_fn (or sparsification function)
2025-12-04T09:07:53.0718207Z     input by the user.
2025-12-04T09:07:53.0718596Z     The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-12-04T09:07:53.0719100Z     mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-12-04T09:07:53.0719437Z     
2025-12-04T09:07:53.0719638Z     Note::
2025-12-04T09:07:53.0720087Z         The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-12-04T09:07:53.0720600Z     
2025-12-04T09:07:53.0720795Z     Args:
2025-12-04T09:07:53.0721006Z         model (nn.Module):
2025-12-04T09:07:53.0721389Z             The model whose layers will be sparsified. The layers that needs to be
2025-12-04T09:07:53.0722032Z             sparsified should be added separately using the register_layer() function
2025-12-04T09:07:53.0722516Z         aggregate_fn (Optional, Callable):
2025-12-04T09:07:53.0722999Z             default aggregate_fn that is used if not specified while registering the layer.
2025-12-04T09:07:53.0723537Z             specifies how inputs should be aggregated over time.
2025-12-04T09:07:53.0724104Z             The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-12-04T09:07:53.0724597Z             Example
2025-12-04T09:07:53.0724909Z                 def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-12-04T09:07:53.0725318Z                 reduce_fn (Optional, Callable):
2025-12-04T09:07:53.0725790Z                     default reduce_fn that is used if not specified while registering the layer.
2025-12-04T09:07:53.0726400Z                     reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-12-04T09:07:53.0726893Z                     calling agg_fn() on all inputs.
2025-12-04T09:07:53.0727309Z                     Example
2025-12-04T09:07:53.0727658Z                 def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-12-04T09:07:53.0728092Z                 mask_fn (Optional, Callable):
2025-12-04T09:07:53.0728625Z                     default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-12-04T09:07:53.0729305Z                     calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-12-04T09:07:53.0729759Z                     register_layer().
2025-12-04T09:07:53.0730311Z                     Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-12-04T09:07:53.0730870Z                     arguments.
2025-12-04T09:07:53.0731146Z                 features (Optional, list):
2025-12-04T09:07:53.0731490Z                     default selected features to sparsify.
2025-12-04T09:07:53.0732003Z                     If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-12-04T09:07:53.0732481Z                     For example,
2025-12-04T09:07:53.0732901Z                 mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-12-04T09:07:53.0733396Z                 feature_dim (Optional, int):
2025-12-04T09:07:53.0733894Z                     default dimension of input features. Again, features along this dim will be chosen
2025-12-04T09:07:53.0734382Z                     for sparsification.
2025-12-04T09:07:53.0734693Z                 sparse_config (Dict):
2025-12-04T09:07:53.0735117Z                     Default configuration for the mask_fn. This config will be passed
2025-12-04T09:07:53.0735557Z                     with the mask_fn()
2025-12-04T09:07:53.0735825Z     
2025-12-04T09:07:53.0736013Z     Example:
2025-12-04T09:07:53.0736236Z         >>> # xdoctest: +SKIP
2025-12-04T09:07:53.0736497Z         >>> model = SomeModel()
2025-12-04T09:07:53.0736918Z         >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-12-04T09:07:53.0737387Z         >>> # Initialize aggregate_fn
2025-12-04T09:07:53.0737672Z         >>> def agg_fn(x, y):
2025-12-04T09:07:53.0738001Z         >>>     return x + y
2025-12-04T09:07:53.0738253Z         >>>
2025-12-04T09:07:53.0738454Z         >>> # Initialize reduce_fn
2025-12-04T09:07:53.0738737Z         >>> def reduce_fn(x):
2025-12-04T09:07:53.0739014Z         >>>     return torch.mean(x, dim=0)
2025-12-04T09:07:53.0739300Z         >>>
2025-12-04T09:07:53.0739507Z         >>> # Initialize mask_fn
2025-12-04T09:07:53.0739784Z         >>> def mask_fn(data):
2025-12-04T09:07:53.0740097Z         >>>     return torch.eye(data.shape).to(data.device)
2025-12-04T09:07:53.0740415Z         >>>
2025-12-04T09:07:53.0740609Z         >>>
2025-12-04T09:07:53.0740834Z         >>> act_sparsifier.register_layer(
2025-12-04T09:07:53.0741137Z         ...     model.some_layer,
2025-12-04T09:07:53.0741470Z         ...     aggregate_fn=agg_fn,
2025-12-04T09:07:53.0741762Z         ...     reduce_fn=reduce_fn,
2025-12-04T09:07:53.0742041Z         ...     mask_fn=mask_fn,
2025-12-04T09:07:53.0742301Z         ... )
2025-12-04T09:07:53.0742508Z         >>>
2025-12-04T09:07:53.0742712Z         >>> # start training process
2025-12-04T09:07:53.0742998Z         >>> for _ in [...]:
2025-12-04T09:07:53.0743257Z         >>> # epoch starts
2025-12-04T09:07:53.0743580Z         >>> # model.forward(), compute_loss() and model.backwards()
2025-12-04T09:07:53.0743957Z         >>> # epoch ends
2025-12-04T09:07:53.0744219Z         >>>     act_sparsifier.step()
2025-12-04T09:07:53.0744523Z         >>> # end training process
2025-12-04T09:07:53.0744808Z         >>> sparsifier.squash_mask()
2025-12-04T09:07:53.0745086Z     
2025-12-04T09:07:53.0745696Z     Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-12-04T09:07:53.0746387Z     
2025-12-04T09:07:53.0746576Z     _._ = None
2025-12-04T09:07:53.0746778Z     ^
2025-12-04T09:07:53.0746969Z       warnings.warn(msg)
2025-12-04T09:07:53.0747205Z     
2025-12-04T09:07:53.0747526Z --- Parse Warning: 12 / 17 ---
2025-12-04T09:07:53.0748732Z     /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.
2025-12-04T09:07:53.0750074Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:53.0750522Z     
2025-12-04T09:07:53.0750901Z     Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-12-04T09:07:53.0751556Z     The submesh created consists of the dimensions and the communicators indicated by
2025-12-04T09:07:53.0752035Z     ``mesh_dim_names``
2025-12-04T09:07:53.0752269Z     
2025-12-04T09:07:53.0752443Z     Args:
2025-12-04T09:07:53.0752793Z         mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-12-04T09:07:53.0753336Z         mesh dimension of the DeviceMesh to create the submesh for.
2025-12-04T09:07:53.0753714Z     Returns:
2025-12-04T09:07:53.0753935Z         A :class:`DeviceMesh` object
2025-12-04T09:07:53.0754217Z     
2025-12-04T09:07:53.0754606Z     The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-12-04T09:07:53.0755099Z     In the first example:
2025-12-04T09:07:53.0755523Z         Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-12-04T09:07:53.0756134Z         Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-12-04T09:07:53.0756710Z         Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-12-04T09:07:53.0757274Z         Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-12-04T09:07:53.0757839Z         Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-12-04T09:07:53.0758397Z         Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-12-04T09:07:53.0758884Z     
2025-12-04T09:07:53.0759086Z     In the second example:
2025-12-04T09:07:53.0759528Z         Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-12-04T09:07:53.0760169Z         Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-12-04T09:07:53.0760822Z         Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-12-04T09:07:53.0761474Z         Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-12-04T09:07:53.0761943Z     
2025-12-04T09:07:53.0762132Z     Example::
2025-12-04T09:07:53.0762344Z     
2025-12-04T09:07:53.0762617Z         >>> # xdoctest: +SKIP("no rank")
2025-12-04T09:07:53.0762997Z         >>> from torch.distributed.device_mesh import DeviceMesh
2025-12-04T09:07:53.0763372Z         >>>
2025-12-04T09:07:53.0763701Z         >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-12-04T09:07:53.0764157Z         >>> # of cross-host(dim 0), and within-host (dim 1).
2025-12-04T09:07:53.0764670Z         >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T09:07:53.0765154Z         >>> tp_mesh = mesh_2d["tp"]
2025-12-04T09:07:53.0765462Z         >>> dp_mesh = mesh_2d["dp"]
2025-12-04T09:07:53.0765735Z         >>>
2025-12-04T09:07:53.0765962Z         >>> # Initialize a 3D mesh.
2025-12-04T09:07:53.0766442Z         >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-12-04T09:07:53.0767221Z         >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-12-04T09:07:53.0767777Z         >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-12-04T09:07:53.0768118Z         >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-12-04T09:07:53.0768408Z     
2025-12-04T09:07:53.0769212Z     Original Error: SyntaxError('positional argument follows keyword argument', ('<source_block>', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83))
2025-12-04T09:07:53.0770110Z     
2025-12-04T09:07:53.0770468Z     mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T09:07:53.0770948Z                                                                                      ^
2025-12-04T09:07:53.0771292Z       warnings.warn(msg)
2025-12-04T09:07:53.0771542Z     
2025-12-04T09:07:53.0771839Z --- Parse Warning: 13 / 17 ---
2025-12-04T09:07:53.0773064Z     /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.
2025-12-04T09:07:53.0774414Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:53.0774861Z     
2025-12-04T09:07:53.0775252Z     Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-12-04T09:07:53.0775744Z     
2025-12-04T09:07:53.0776148Z     SavePlanners are stateful objects that can be used to customize the whole save process.
2025-12-04T09:07:53.0776639Z     
2025-12-04T09:07:53.0777027Z     SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T09:07:53.0777552Z     will be visible to the whole process.
2025-12-04T09:07:53.0777859Z     
2025-12-04T09:07:53.0778237Z     A planner subclass can expect the following sequence of calls during save_state_dict:
2025-12-04T09:07:53.0778724Z     
2025-12-04T09:07:53.0778956Z     1) set_up_planner - called on all ranks.
2025-12-04T09:07:53.0779300Z         Signals the start of a checkpoint save.
2025-12-04T09:07:53.0779624Z     
2025-12-04T09:07:53.0779856Z     2) create_local_plan - called on all ranks.
2025-12-04T09:07:53.0780374Z         Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-12-04T09:07:53.0780936Z     
2025-12-04T09:07:53.0781228Z     3) create_global_plan - called on the coordinator rank only.
2025-12-04T09:07:53.0781724Z         Takes the SavePlan from all ranks and make any global decision.
2025-12-04T09:07:53.0782110Z     
2025-12-04T09:07:53.0782331Z     4) finish_plan - called on all ranks.
2025-12-04T09:07:53.0782774Z         This gives each rank a chance to adjust to global planning decisions.
2025-12-04T09:07:53.0783179Z     
2025-12-04T09:07:53.0783444Z     5) resolve_data - called multiple times on each rank
2025-12-04T09:07:53.0783914Z         Lookups a value on the `state_dict` for the storage layer to write.
2025-12-04T09:07:53.0784305Z     
2025-12-04T09:07:53.0784779Z     Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-12-04T09:07:53.0785391Z     most changes can be expressed by changes in a single method.
2025-12-04T09:07:53.0785760Z     
2025-12-04T09:07:53.0785998Z     There are 3 usual patterns of extension:
2025-12-04T09:07:53.0786310Z     
2025-12-04T09:07:53.0786674Z     Rewriting state_dict. This is the simplest way to extend the save process as it
2025-12-04T09:07:53.0787271Z     doesn't requite understanding the intrincacies of how SavePlan works:
2025-12-04T09:07:53.0787701Z     
2025-12-04T09:07:53.0787927Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:07:53.0788273Z     >>> class RenamePlanner(DefaultSavePlanner):
2025-12-04T09:07:53.0788618Z     >>>     def set_up_planner(
2025-12-04T09:07:53.0788890Z     >>>         self,
2025-12-04T09:07:53.0789138Z     >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T09:07:53.0789484Z     >>>         storage_meta: Optional[StorageMeta],
2025-12-04T09:07:53.0789831Z     >>>         is_coordinator: bool,
2025-12-04T09:07:53.0790120Z     >>>     ) -> None:
2025-12-04T09:07:53.0790379Z     >>> # prefix all keys with `foo_``
2025-12-04T09:07:53.0790885Z     >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-12-04T09:07:53.0791380Z     
2025-12-04T09:07:53.0791815Z     Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-12-04T09:07:53.0792351Z     
2025-12-04T09:07:53.0792575Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:07:53.0792914Z     >>> class FP16Planner(DefaultSavePlanner):
2025-12-04T09:07:53.0793261Z     >>>     def create_local_plan(self):
2025-12-04T09:07:53.0793595Z     >>>         plan = super().create_local_plan()
2025-12-04T09:07:53.0793917Z     >>>         for p in plan:
2025-12-04T09:07:53.0794212Z     >>>             if p.tensor_data is not None:
2025-12-04T09:07:53.0794596Z     >>>                 p.tensor_data.properties.dtype = torch.float16
2025-12-04T09:07:53.0794968Z     >>>         return plan
2025-12-04T09:07:53.0795211Z     >>>
2025-12-04T09:07:53.0795445Z     >>>     def resolve_data(self, write_item):
2025-12-04T09:07:53.0795801Z     >>>         item = super().resolve_data(write_item)
2025-12-04T09:07:53.0796308Z     >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-12-04T09:07:53.0796930Z     
2025-12-04T09:07:53.0797395Z     Using the global planning step to make central decisions that can't be made individually by each rank
2025-12-04T09:07:53.0797932Z     
2025-12-04T09:07:53.0798159Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:07:53.0798498Z     >>> from itertools import zip_longest
2025-12-04T09:07:53.0798821Z     >>> from dataclasses import replace
2025-12-04T09:07:53.0799211Z     >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-12-04T09:07:53.0799770Z     >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-12-04T09:07:53.0800299Z     >>> # This sample doesn't handle ShardedTensors
2025-12-04T09:07:53.0800663Z     >>>     def create_global_plan(self, all_plans):
2025-12-04T09:07:53.0801057Z     >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-12-04T09:07:53.0801553Z     >>>         items_per_rank = [
2025-12-04T09:07:53.0801879Z     >>>             [item for item in items if item is not None]
2025-12-04T09:07:53.0802297Z     >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-12-04T09:07:53.0802659Z     >>>         ]
2025-12-04T09:07:53.0802894Z     >>>         all_plans = [
2025-12-04T09:07:53.0803172Z     >>>             replace(plan, items=items)
2025-12-04T09:07:53.0803589Z     >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-12-04T09:07:53.0803991Z     >>>         ]
2025-12-04T09:07:53.0804261Z     >>>         return super().create_global_plan(all_plans)
2025-12-04T09:07:53.0804601Z     
2025-12-04T09:07:53.0805068Z     Finally, some planners need to save additional metadata in the checkpoint, this is
2025-12-04T09:07:53.0805724Z     accomplished by having each rank contribute their data items in the local plan and
2025-12-04T09:07:53.0806234Z     the global planner aggregate them:
2025-12-04T09:07:53.0806542Z     
2025-12-04T09:07:53.0806758Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:07:53.0807232Z     >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-12-04T09:07:53.0807637Z     >>>     def create_local_plan(self) -> SavePlan:
2025-12-04T09:07:53.0808001Z     >>>         plan = super().create_local_plan()
2025-12-04T09:07:53.0808385Z     >>>         return replace(plan, planner_data="per-rank-data")
2025-12-04T09:07:53.0808748Z     >>>
2025-12-04T09:07:53.0809162Z     >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-12-04T09:07:53.0809766Z     >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-12-04T09:07:53.0810249Z     >>>         merged_data = [p.planner_data for p in global_plan]
2025-12-04T09:07:53.0810693Z     >>>         metadata = replace(metadata, planner_data=merged_data)
2025-12-04T09:07:53.0811089Z     >>>         return global_plan, metadata
2025-12-04T09:07:53.0811381Z     
2025-12-04T09:07:53.0812024Z     Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-12-04T09:07:53.0812752Z     
2025-12-04T09:07:53.0812932Z     _._ = None
2025-12-04T09:07:53.0813146Z     ^
2025-12-04T09:07:53.0813351Z       warnings.warn(msg)
2025-12-04T09:07:53.0813585Z     
2025-12-04T09:07:53.0813908Z --- Parse Warning: 14 / 17 ---
2025-12-04T09:07:53.0815131Z     /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.
2025-12-04T09:07:53.0816478Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:53.0816925Z     
2025-12-04T09:07:53.0817323Z     Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-12-04T09:07:53.0817816Z     
2025-12-04T09:07:53.0818206Z     LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-12-04T09:07:53.0818701Z     
2025-12-04T09:07:53.0819091Z     LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T09:07:53.0819595Z     will be visible to the whole process.
2025-12-04T09:07:53.0819899Z     
2025-12-04T09:07:53.0820284Z     A planner subclass can expect the following sequence of calls during load_state_dict:
2025-12-04T09:07:53.0820760Z     
2025-12-04T09:07:53.0820977Z     1) set_up_planner - called on all ranks.
2025-12-04T09:07:53.0821330Z         Signals the start of loading a checkpoint.
2025-12-04T09:07:53.0821649Z     
2025-12-04T09:07:53.0821871Z     2) create_local_plan - called on all ranks.
2025-12-04T09:07:53.0822395Z         Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-12-04T09:07:53.0822885Z     
2025-12-04T09:07:53.0823164Z     3) create_global_plan - called on the coordinator rank only.
2025-12-04T09:07:53.0823741Z         Takes the LoadPlan from all ranks and make any global decision.
2025-12-04T09:07:53.0824139Z     
2025-12-04T09:07:53.0824380Z     4) load_bytes - called multiple times on each rank
2025-12-04T09:07:53.0824809Z         This is called once per non-tensor value in state_dict.
2025-12-04T09:07:53.0824900Z     
2025-12-04T09:07:53.0825122Z     5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-12-04T09:07:53.0825302Z         They are called in pair for each Tensor value in state_dict.
2025-12-04T09:07:53.0825393Z     
2025-12-04T09:07:53.0825698Z     Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-12-04T09:07:53.0825940Z     most changes can be expressed by changes in a single method.
2025-12-04T09:07:53.0826026Z     
2025-12-04T09:07:53.0826149Z     There are two usual patterns of extension:
2025-12-04T09:07:53.0826224Z     
2025-12-04T09:07:53.0826491Z     Rewriting state_dict. This is the simplest way to extend the load process as it
2025-12-04T09:07:53.0826741Z     doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-12-04T09:07:53.0826974Z     to keep a reference to the original state_dict as load happens in place so
2025-12-04T09:07:53.0827093Z     we need to be able to perform it in place
2025-12-04T09:07:53.0827170Z     
2025-12-04T09:07:53.0827297Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:07:53.0827427Z     >>> class RenamePlanner(DefaultLoadPlanner):
2025-12-04T09:07:53.0827523Z     >>>     def set_up_planner(
2025-12-04T09:07:53.0827616Z     >>>         self,
2025-12-04T09:07:53.0827724Z     >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T09:07:53.0827822Z     >>>         metadata: Metadata,
2025-12-04T09:07:53.0827936Z     >>>         is_coordinator: bool,
2025-12-04T09:07:53.0828019Z     >>>     ) -> None:
2025-12-04T09:07:53.0828154Z     >>>         self.original_state_dict = state_dict
2025-12-04T09:07:53.0828325Z     >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-12-04T09:07:53.0828403Z     >>>
2025-12-04T09:07:53.0828527Z     >>>         if self.flatten_sharded_tensors:
2025-12-04T09:07:53.0828674Z     >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-12-04T09:07:53.0828751Z     >>>
2025-12-04T09:07:53.0828867Z     >>>         if self.flatten_state_dict:
2025-12-04T09:07:53.0829046Z     >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-12-04T09:07:53.0829122Z     >>>
2025-12-04T09:07:53.0829238Z     >>>         self.state_dict = state_dict
2025-12-04T09:07:53.0829338Z     >>>         self.metadata = metadata
2025-12-04T09:07:53.0829467Z     >>>         self.is_coordinator = is_coordinator
2025-12-04T09:07:53.0829544Z     >>>
2025-12-04T09:07:53.0829664Z     >>>     def load_bytes(self, read_item, value):
2025-12-04T09:07:53.0829773Z     >>> # Remove the "foo_" prefix
2025-12-04T09:07:53.0830087Z     >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-12-04T09:07:53.0830167Z     
2025-12-04T09:07:53.0830251Z     
2025-12-04T09:07:53.0830505Z     Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-12-04T09:07:53.0830580Z     
2025-12-04T09:07:53.0830698Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:07:53.0830853Z     >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-12-04T09:07:53.0830982Z     >>>     def resolve_tensor(self, read_item):
2025-12-04T09:07:53.0831106Z     >>>         tensor = super().resolve_tensor(read_item)
2025-12-04T09:07:53.0831249Z     >>>         return torch.empty_like(tensor, device="cpu")
2025-12-04T09:07:53.0831339Z     >>>
2025-12-04T09:07:53.0831467Z     >>>     def commit_tensor(self, read_item, tensor):
2025-12-04T09:07:53.0831620Z     >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-12-04T09:07:53.0831710Z     
2025-12-04T09:07:53.0832252Z     Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-12-04T09:07:53.0832421Z     
2025-12-04T09:07:53.0832515Z     _._ = None
2025-12-04T09:07:53.0832589Z     ^
2025-12-04T09:07:53.0832685Z       warnings.warn(msg)
2025-12-04T09:07:53.0832777Z     
2025-12-04T09:07:53.0832969Z --- Parse Warning: 15 / 17 ---
2025-12-04T09:07:53.0833950Z     /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.
2025-12-04T09:07:53.0834195Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:53.0834271Z     
2025-12-04T09:07:53.0834539Z     ``FullStateDictConfig`` is a config class meant to be used with
2025-12-04T09:07:53.0834731Z     ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-12-04T09:07:53.0834942Z     ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-12-04T09:07:53.0835158Z     dicts to save GPU memory and CPU memory, respectively. This config class
2025-12-04T09:07:53.0835352Z     is meant to be used via the :func:`state_dict_type` context manager as
2025-12-04T09:07:53.0835443Z     follows:
2025-12-04T09:07:53.0835520Z     
2025-12-04T09:07:53.0835646Z         >>> # xdoctest: +SKIP("undefined variables")
2025-12-04T09:07:53.0835890Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-12-04T09:07:53.0836015Z         >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-12-04T09:07:53.0836212Z         >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-12-04T09:07:53.0836440Z         >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-12-04T09:07:53.0836543Z         >>>     state = fsdp.state_dict()
2025-12-04T09:07:53.0836762Z         >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-12-04T09:07:53.0836998Z         >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-12-04T09:07:53.0837227Z         >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-12-04T09:07:53.0837339Z         >>> if dist.get_rank() == 0:
2025-12-04T09:07:53.0837516Z         >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-12-04T09:07:53.0837651Z         >>>     state_dict = torch.load("my_checkpoint.pt")
2025-12-04T09:07:53.0837781Z         >>>     model.load_state_dict(state_dict)
2025-12-04T09:07:53.0838013Z         >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-12-04T09:07:53.0838262Z         >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-12-04T09:07:53.0838356Z         >>> fsdp = FSDP(
2025-12-04T09:07:53.0838442Z         ...     model,
2025-12-04T09:07:53.0838580Z         ...     device_id=torch.cuda.current_device(),
2025-12-04T09:07:53.0838684Z         ...     auto_wrap_policy=...,
2025-12-04T09:07:53.0838785Z         ...     sync_module_states=True,
2025-12-04T09:07:53.0838875Z         ... )
2025-12-04T09:07:53.0839084Z         >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-12-04T09:07:53.0839162Z     
2025-12-04T09:07:53.0839259Z     Attributes:
2025-12-04T09:07:53.0839453Z         rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-12-04T09:07:53.0839661Z             dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-12-04T09:07:53.0839814Z             ranks save the full state dict. (Default: ``False``)
2025-12-04T09:07:53.0839892Z     
2025-12-04T09:07:53.0840411Z     Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-12-04T09:07:53.0840490Z     
2025-12-04T09:07:53.0840569Z     _._ = None
2025-12-04T09:07:53.0840657Z     ^
2025-12-04T09:07:53.0840803Z       warnings.warn(msg)
2025-12-04T09:07:53.0840879Z     
2025-12-04T09:07:53.0841078Z --- Parse Warning: 16 / 17 ---
2025-12-04T09:07:53.0842067Z     /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.
2025-12-04T09:07:53.0842325Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:53.0842477Z     Register a parametrization to a tensor in a module.
2025-12-04T09:07:53.0842553Z     
2025-12-04T09:07:53.0842841Z         Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-12-04T09:07:53.0843169Z         the module will return the parametrized version ``parametrization(module.weight)``.
2025-12-04T09:07:53.0843432Z         If the original tensor requires a gradient, the backward pass will differentiate
2025-12-04T09:07:53.0843732Z         through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-12-04T09:07:53.0843810Z     
2025-12-04T09:07:53.0844131Z         The first time that a module registers a parametrization, this function will add an attribute
2025-12-04T09:07:53.0844370Z         ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-12-04T09:07:53.0844446Z     
2025-12-04T09:07:53.0844708Z         The list of parametrizations on the tensor ``weight`` will be accessible under
2025-12-04T09:07:53.0844829Z         ``module.parametrizations.weight``.
2025-12-04T09:07:53.0844906Z     
2025-12-04T09:07:53.0845049Z         The original tensor will be accessible under
2025-12-04T09:07:53.0845190Z         ``module.parametrizations.weight.original``.
2025-12-04T09:07:53.0845277Z     
2025-12-04T09:07:53.0845543Z         Parametrizations may be concatenated by registering several parametrizations
2025-12-04T09:07:53.0845639Z         on the same attribute.
2025-12-04T09:07:53.0845729Z     
2025-12-04T09:07:53.0845966Z         The training mode of a registered parametrization is updated on registration
2025-12-04T09:07:53.0846098Z         to match the training mode of the host module
2025-12-04T09:07:53.0846186Z     
2025-12-04T09:07:53.0846489Z         Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-12-04T09:07:53.0846609Z         using the context manager :func:`cached`.
2025-12-04T09:07:53.0846697Z     
2025-12-04T09:07:53.0846933Z         A :attr:`parametrization` may optionally implement a method with signature
2025-12-04T09:07:53.0847019Z     
2025-12-04T09:07:53.0847210Z         .. code-block:: python
2025-12-04T09:07:53.0847287Z     
2025-12-04T09:07:53.0847512Z             def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-12-04T09:07:53.0847595Z     
2025-12-04T09:07:53.0847854Z         This method is called on the unparametrized tensor when the first parametrization
2025-12-04T09:07:53.0848075Z         is registered to compute the initial value of the original tensor.
2025-12-04T09:07:53.0848383Z         If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-12-04T09:07:53.0848458Z     
2025-12-04T09:07:53.0848782Z         If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-12-04T09:07:53.0849064Z         to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-12-04T09:07:53.0849152Z     
2025-12-04T09:07:53.0849375Z         It is possible for the first parametrization to depend on several inputs.
2025-12-04T09:07:53.0849613Z         This may be implemented returning a tuple of tensors from ``right_inverse``
2025-12-04T09:07:53.0849859Z         (see the example implementation of a ``RankOne`` parametrization below).
2025-12-04T09:07:53.0849936Z     
2025-12-04T09:07:53.0850272Z         In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-12-04T09:07:53.0850471Z         with names ``original0``, ``original1``,...
2025-12-04T09:07:53.0850545Z     
2025-12-04T09:07:53.0850642Z         .. note::
2025-12-04T09:07:53.0850718Z     
2025-12-04T09:07:53.0850981Z             If unsafe=False (default) both the forward and right_inverse methods will be called
2025-12-04T09:07:53.0851138Z             once to perform a number of consistency checks.
2025-12-04T09:07:53.0851403Z             If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-12-04T09:07:53.0851518Z             and nothing will be called otherwise.
2025-12-04T09:07:53.0851607Z     
2025-12-04T09:07:53.0851687Z         .. note::
2025-12-04T09:07:53.0851759Z     
2025-12-04T09:07:53.0851970Z             In most situations, ``right_inverse`` will be a function such that
2025-12-04T09:07:53.0852134Z             ``forward(right_inverse(X)) == X`` (see
2025-12-04T09:07:53.0852434Z             `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-12-04T09:07:53.0852685Z             Sometimes, when the parametrization is not surjective, it may be reasonable
2025-12-04T09:07:53.0852772Z             to relax this.
2025-12-04T09:07:53.0852859Z     
2025-12-04T09:07:53.0852942Z         .. warning::
2025-12-04T09:07:53.0853019Z     
2025-12-04T09:07:53.0853304Z             If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-12-04T09:07:53.0853558Z             will register a number of new parameters. If such parametrization is registered
2025-12-04T09:07:53.0853836Z             after the optimizer is created, these new parameters will need to be added manually
2025-12-04T09:07:53.0854030Z             to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-12-04T09:07:53.0854104Z     
2025-12-04T09:07:53.0854199Z         Args:
2025-12-04T09:07:53.0854407Z             module (nn.Module): module on which to register the parametrization
2025-12-04T09:07:53.0854615Z             tensor_name (str): name of the parameter or buffer on which to register
2025-12-04T09:07:53.0854730Z                 the parametrization
2025-12-04T09:07:53.0854930Z             parametrization (nn.Module): the parametrization to register
2025-12-04T09:07:53.0855018Z         Keyword args:
2025-12-04T09:07:53.0855241Z             unsafe (bool): a boolean flag that denotes whether the parametrization
2025-12-04T09:07:53.0855431Z                 may change the dtype and shape of the tensor. Default: `False`
2025-12-04T09:07:53.0855705Z                 Warning: the parametrization is not checked for consistency upon registration.
2025-12-04T09:07:53.0855820Z                 Enable this flag at your own risk.
2025-12-04T09:07:53.0855897Z     
2025-12-04T09:07:53.0855988Z         Raises:
2025-12-04T09:07:53.0856275Z             ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-12-04T09:07:53.0856352Z     
2025-12-04T09:07:53.0856444Z         Examples:
2025-12-04T09:07:53.0856588Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-12-04T09:07:53.0856678Z             >>> import torch
2025-12-04T09:07:53.0856787Z             >>> import torch.nn as nn
2025-12-04T09:07:53.0856919Z             >>> import torch.nn.utils.parametrize as P
2025-12-04T09:07:53.0857011Z             >>>
2025-12-04T09:07:53.0857116Z             >>> class Symmetric(nn.Module):
2025-12-04T09:07:53.0857217Z             >>>     def forward(self, X):
2025-12-04T09:07:53.0857399Z             >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-12-04T09:07:53.0857476Z             >>>
2025-12-04T09:07:53.0857584Z             >>>     def right_inverse(self, A):
2025-12-04T09:07:53.0857690Z             >>>         return A.triu()
2025-12-04T09:07:53.0857768Z             >>>
2025-12-04T09:07:53.0857865Z             >>> m = nn.Linear(5, 5)
2025-12-04T09:07:53.0858036Z             >>> P.register_parametrization(m, "weight", Symmetric())
2025-12-04T09:07:53.0858273Z             >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-12-04T09:07:53.0858418Z             True
2025-12-04T09:07:53.0858513Z             >>> A = torch.rand(5, 5)
2025-12-04T09:07:53.0858622Z             >>> A = A + A.T  # A is now symmetric
2025-12-04T09:07:53.0858826Z             >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-12-04T09:07:53.0858948Z             >>> print(torch.allclose(m.weight, A))
2025-12-04T09:07:53.0859027Z             True
2025-12-04T09:07:53.0859111Z     
2025-12-04T09:07:53.0859213Z             >>> class RankOne(nn.Module):
2025-12-04T09:07:53.0859317Z             >>>     def forward(self, x, y):
2025-12-04T09:07:53.0859466Z             >>> # Form a rank 1 matrix multiplying two vectors
2025-12-04T09:07:53.0859661Z             >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-12-04T09:07:53.0859750Z             >>>
2025-12-04T09:07:53.0859859Z             >>>     def right_inverse(self, Z):
2025-12-04T09:07:53.0859976Z             >>> # Project Z onto the rank 1 matrices
2025-12-04T09:07:53.0860137Z             >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-12-04T09:07:53.0860251Z             >>> # Return rescaled singular vectors
2025-12-04T09:07:53.0860372Z             >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-12-04T09:07:53.0860527Z             >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-12-04T09:07:53.0860605Z             >>>
2025-12-04T09:07:53.0860750Z             >>> linear_rank_one = P.register_parametrization(
2025-12-04T09:07:53.0860879Z             ...     nn.Linear(4, 4), "weight", RankOne()
2025-12-04T09:07:53.0860957Z             ... )
2025-12-04T09:07:53.0861168Z             >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-12-04T09:07:53.0861246Z             1
2025-12-04T09:07:53.0861326Z     
2025-12-04T09:07:53.0861415Z         
2025-12-04T09:07:53.0861951Z     Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-12-04T09:07:53.0862036Z     
2025-12-04T09:07:53.0862130Z     _._ = None
2025-12-04T09:07:53.0862207Z     ^
2025-12-04T09:07:53.0862302Z       warnings.warn(msg)
2025-12-04T09:07:53.0862388Z     
2025-12-04T09:07:53.0862588Z --- Parse Warning: 17 / 17 ---
2025-12-04T09:07:53.0863555Z     /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.
2025-12-04T09:07:53.0863801Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:07:53.0863977Z     Reduce learning rate when a metric has stopped improving.
2025-12-04T09:07:53.0864074Z     
2025-12-04T09:07:53.0864274Z         Models often benefit from reducing the learning rate by a factor
2025-12-04T09:07:53.0864455Z         of 2-10 once learning stagnates. This scheduler reads a metrics
2025-12-04T09:07:53.0864659Z         quantity and if no improvement is seen for a 'patience' number
2025-12-04T09:07:53.0864779Z         of epochs, the learning rate is reduced.
2025-12-04T09:07:53.0864869Z     
2025-12-04T09:07:53.0864948Z         Args:
2025-12-04T09:07:53.0865081Z             optimizer (Optimizer): Wrapped optimizer.
2025-12-04T09:07:53.0865242Z             mode (str): One of `min`, `max`. In `min` mode, lr will
2025-12-04T09:07:53.0865395Z                 be reduced when the quantity monitored has stopped
2025-12-04T09:07:53.0865552Z                 decreasing; in `max` mode it will be reduced when the
2025-12-04T09:07:53.0865752Z                 quantity monitored has stopped increasing. Default: 'min'.
2025-12-04T09:07:53.0865920Z             factor (float): Factor by which the learning rate will be
2025-12-04T09:07:53.0866051Z                 reduced. new_lr = lr * factor. Default: 0.1.
2025-12-04T09:07:53.0866279Z             patience (int): The number of allowed epochs with no improvement after
2025-12-04T09:07:53.0866455Z                 which the learning rate will be reduced.
2025-12-04T09:07:53.0866690Z                 For example, consider the case of having no patience (`patience = 0`).
2025-12-04T09:07:53.0867057Z                 In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-12-04T09:07:53.0867257Z                 In the second epoch, if the performance is worse than the baseline,
2025-12-04T09:07:53.0867412Z                 we have what is considered an intolerable epoch.
2025-12-04T09:07:53.0867674Z                 Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-12-04T09:07:53.0867850Z                 the learning rate is reduced at the end of this epoch.
2025-12-04T09:07:53.0868222Z                 From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-12-04T09:07:53.0868538Z                 if the performance is worse than the baseline. If the performance improves or remains the same,
2025-12-04T09:07:53.0868668Z                 the learning rate is not adjusted.
2025-12-04T09:07:53.0868768Z                 Default: 10.
2025-12-04T09:07:53.0868956Z             threshold (float): Threshold for measuring the new optimum,
2025-12-04T09:07:53.0869125Z                 to only focus on significant changes. Default: 1e-4.
2025-12-04T09:07:53.0869296Z             threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-12-04T09:07:53.0869465Z                 dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-12-04T09:07:53.0869601Z                 mode or best * ( 1 - threshold ) in `min` mode.
2025-12-04T09:07:53.0869755Z                 In `abs` mode, dynamic_threshold = best + threshold in
2025-12-04T09:07:53.0869947Z                 `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-12-04T09:07:53.0870115Z             cooldown (int): Number of epochs to wait before resuming
2025-12-04T09:07:53.0870289Z                 normal operation after lr has been reduced. Default: 0.
2025-12-04T09:07:53.0870462Z             min_lr (float or list): A scalar or a list of scalars. A
2025-12-04T09:07:53.0870620Z                 lower bound on the learning rate of all param groups
2025-12-04T09:07:53.0870763Z                 or each group respectively. Default: 0.
2025-12-04T09:07:53.0870940Z             eps (float): Minimal decay applied to lr. If the difference
2025-12-04T09:07:53.0871115Z                 between new and old lr is smaller than eps, the update is
2025-12-04T09:07:53.0871232Z                 ignored. Default: 1e-8.
2025-12-04T09:07:53.0871315Z     
2025-12-04T09:07:53.0871399Z         Example:
2025-12-04T09:07:53.0871515Z             >>> # xdoctest: +SKIP
2025-12-04T09:07:53.0871746Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-12-04T09:07:53.0871901Z             >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-12-04T09:07:53.0872020Z             >>> for epoch in range(10):
2025-12-04T09:07:53.0872111Z             >>>     train(...)
2025-12-04T09:07:53.0872232Z             >>>     val_loss = validate(...)
2025-12-04T09:07:53.0872381Z             >>> # Note that step should be called after validate()
2025-12-04T09:07:53.0872492Z             >>>     scheduler.step(val_loss)
2025-12-04T09:07:53.0872584Z     
2025-12-04T09:07:53.0872775Z         .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-12-04T09:07:53.0872855Z         
2025-12-04T09:07:53.0873292Z     Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-12-04T09:07:53.0873372Z     
2025-12-04T09:07:53.0873486Z         scheduler.step(val_loss)
2025-12-04T09:07:53.0873565Z        ^
2025-12-04T09:07:53.0873664Z       warnings.warn(msg)
2025-12-04T09:07:53.0873752Z     
2025-12-04T09:07:53.0873860Z 
2025-12-04T09:07:53.0874029Z === Found 10 run-time warnings ===
2025-12-04T09:07:53.0874271Z --- Runtime Warning: 1 / 10 ---
2025-12-04T09:07:53.0874462Z example = <DocTest(torch is_storage:0 ln 1157) at 0x7f856e287eb0>
2025-12-04T09:07:53.0875957Z     <doctest:/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0>: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()
2025-12-04T09:07:53.0876035Z     
2025-12-04T09:07:53.0876210Z --- Runtime Warning: 2 / 10 ---
2025-12-04T09:07:53.0876482Z example = <DocTest(torch._tensor Tensor.refine_names:0 ln 1374) at 0x7f856e2b0730>
2025-12-04T09:07:53.0877909Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py:1392: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1976.)
2025-12-04T09:07:53.0878037Z       return super().refine_names(names)
2025-12-04T09:07:53.0878112Z     
2025-12-04T09:07:53.0878284Z --- Runtime Warning: 3 / 10 ---
2025-12-04T09:07:53.0878599Z example = <DocTest(torch.library Library._impl_with_aoti_compile:0 ln 239) at 0x7f856e2b0a90>
2025-12-04T09:07:53.0879234Z     /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.
2025-12-04T09:07:53.0879542Z       Overriding a previously registered kernel for the same operator and the same dispatch key
2025-12-04T09:07:53.0879754Z       operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor
2025-12-04T09:07:53.0880047Z         registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6
2025-12-04T09:07:53.0880156Z       dispatch key: CPU
2025-12-04T09:07:53.0880588Z       previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079
2025-12-04T09:07:53.0881610Z            new kernel: registered at <doctest:/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0>:1 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:215.)
2025-12-04T09:07:53.0881764Z       impl_fn(self.ns, name.split("::")[-1], dispatch_key)
2025-12-04T09:07:53.0881841Z     
2025-12-04T09:07:53.0882027Z --- Runtime Warning: 4 / 10 ---
2025-12-04T09:07:53.0882260Z example = <DocTest(torch.nested as_nested_tensor:0 ln 61) at 0x7f856e2a1960>
2025-12-04T09:07:53.0884167Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py:117: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:182.)
2025-12-04T09:07:53.0884414Z       return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None)
2025-12-04T09:07:53.0884491Z     
2025-12-04T09:07:53.0884677Z --- Runtime Warning: 5 / 10 ---
2025-12-04T09:07:53.0884931Z example = <DocTest(torch.sparse as_sparse_gradcheck:0 ln 561) at 0x7f856e2cd450>
2025-12-04T09:07:53.0886610Z     <doctest:/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0>:1: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:55.)
2025-12-04T09:07:53.0886742Z     
2025-12-04T09:07:53.0886914Z --- Runtime Warning: 6 / 10 ---
2025-12-04T09:07:53.0887307Z example = <DocTest(torch._functorch.eager_transforms linearize:0 ln 1705) at 0x7f856e26a6e0>
2025-12-04T09:07:53.0888855Z     /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
2025-12-04T09:07:53.0889028Z       new_node = root_const_gm.graph.get_attr(in_node.target)
2025-12-04T09:07:53.0889110Z     
2025-12-04T09:07:53.0889289Z --- Runtime Warning: 7 / 10 ---
2025-12-04T09:07:53.0889641Z example = <DocTest(torch.nn.modules.transformer Transformer:0 ln 91) at 0x7f8563ed4e80>
2025-12-04T09:07:53.0890797Z     /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)
2025-12-04T09:07:53.0890932Z       self.encoder = TransformerEncoder(
2025-12-04T09:07:53.0891009Z     
2025-12-04T09:07:53.0891182Z --- Runtime Warning: 8 / 10 ---
2025-12-04T09:07:53.0891523Z example = <DocTest(torch.nn.modules.transformer TransformerEncoder:0 ln 345) at 0x7f8563ed50f0>
2025-12-04T09:07:53.0892768Z     <doctest:/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0>: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)
2025-12-04T09:07:53.0892860Z     
2025-12-04T09:07:53.0893033Z --- Runtime Warning: 9 / 10 ---
2025-12-04T09:07:53.0893306Z example = <DocTest(torch.nn.utils.weight_norm weight_norm:0 ln 134) at 0x7f856e2cfee0>
2025-12-04T09:07:53.0894145Z     /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`.
2025-12-04T09:07:53.0894261Z       WeightNorm.apply(module, name, dim)
2025-12-04T09:07:53.0894354Z     
2025-12-04T09:07:53.0894528Z --- Runtime Warning: 10 / 10 ---
2025-12-04T09:07:53.0894832Z example = <DocTest(torch.nn.utils.weight_norm remove_weight_norm:0 ln 156) at 0x7f856e2cec80>
2025-12-04T09:07:53.0895663Z     /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`.
2025-12-04T09:07:53.0895778Z       WeightNorm.apply(module, name, dim)
2025-12-04T09:07:53.0895867Z     
2025-12-04T09:07:53.0896151Z === 378 passed, 516 skipped, 27 warnings in 30.11 seconds ===
2025-12-04T09:07:53.0896387Z Finished doctests 1/1 ... [2025-12-04 09:07:53.046294][756.546626307], took 0.50min
2025-12-04T09:07:53.0896859Z Running inductor/test_flex_attention 1/1 ... [2025-12-04 09:07:53.047824][756.548164649]
2025-12-04T09:07:53.0896973Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:07:53.0898056Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:53.048205]
2025-12-04T09:08:07.1353800Z 
2025-12-04T09:08:07.1355126Z 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_a552f0110218a6e3_.log
2025-12-04T09:08:07.1356022Z Running 0 items in this shard:
2025-12-04T09:08:07.1356225Z 
2025-12-04T09:08:07.1356821Z Finished inductor/test_flex_attention 1/1 ... [2025-12-04 09:08:07.135331][770.635667664], took 0.23min
2025-12-04T09:08:07.1367789Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-1756e11b441be30c.xml
2025-12-04T09:08:07.2277967Z Running inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:08:07.227575][770.727913995]
2025-12-04T09:08:07.2278474Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:08:07.2282375Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:07.227967]
2025-12-04T09:08:20.8650373Z 
2025-12-04T09:08:20.8651420Z 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_82a3168a86fcafae_.log
2025-12-04T09:08:20.8652301Z 
2025-12-04T09:08:20.8652635Z Finished inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:08:20.864821][784.365160454], took 0.23min
2025-12-04T09:08:20.8666893Z Running inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:08:20.866502][784.366842485]
2025-12-04T09:08:20.8667467Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:08:20.8670965Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:20.866859]
2025-12-04T09:08:34.9510054Z 
2025-12-04T09:08:34.9511108Z 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_9df7c557dfb545ac_.log
2025-12-04T09:08:34.9512034Z Running 0 items in this shard:
2025-12-04T09:08:34.9512225Z 
2025-12-04T09:08:34.9512558Z Finished inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:08:34.950843][798.451181043], took 0.23min
2025-12-04T09:08:34.9546641Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-fb5a06508f354e49.xml
2025-12-04T09:08:35.0377603Z Running inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:08:35.037500][798.537838359]
2025-12-04T09:08:35.0378171Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:08:35.0381395Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:35.037877]
2025-12-04T09:08:48.6707695Z 
2025-12-04T09:08:48.6708708Z 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_722d74abfc14ffed_.log
2025-12-04T09:08:48.6709680Z Running 0 items in this shard:
2025-12-04T09:08:48.6709887Z 
2025-12-04T09:08:48.6710255Z Finished inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:08:48.670592][812.170930333], took 0.23min
2025-12-04T09:08:48.6723339Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-6bb66e6c0588949b.xml
2025-12-04T09:08:48.7533921Z Running test_sort_and_select 1/1 ... [2025-12-04 09:08:48.753175][812.253513802]
2025-12-04T09:08:48.7534407Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:08:48.7537857Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:48.753552]
2025-12-04T09:08:54.3253676Z 
2025-12-04T09:08:54.3254547Z 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_8001ef74e9b75606_.log
2025-12-04T09:08:54.3255327Z Running 0 items in this shard:
2025-12-04T09:08:54.3255518Z 
2025-12-04T09:08:54.3255798Z Finished test_sort_and_select 1/1 ... [2025-12-04 09:08:54.325198][817.82553629], took 0.09min
2025-12-04T09:08:54.3270446Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-c05430c2b97ac523.xml
2025-12-04T09:08:54.3534851Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 09:08:54.353222][817.853560478]
2025-12-04T09:08:54.3535424Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:08:54.3538554Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:54.353613]
2025-12-04T09:08:59.6752948Z 
2025-12-04T09:08:59.6754118Z 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_4ca41fea677390da_.log
2025-12-04T09:08:59.6755113Z Running 0 items in this shard:
2025-12-04T09:08:59.6755300Z 
2025-12-04T09:08:59.6755725Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 09:08:59.675136][823.175475804], took 0.09min
2025-12-04T09:08:59.6771875Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-3c79f54f663c182d.xml
2025-12-04T09:08:59.7059029Z Running test_cpp_api_parity 1/1 ... [2025-12-04 09:08:59.705690][823.206027864]
2025-12-04T09:08:59.7059519Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:08:59.7063161Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:59.706090]
2025-12-04T09:09:10.2360308Z 
2025-12-04T09:09:10.2361165Z 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_676d6af9650b2a60_.log
2025-12-04T09:09:10.2361950Z Running 0 items in this shard:
2025-12-04T09:09:10.2362137Z 
2025-12-04T09:09:10.2362443Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 09:09:10.235826][833.736163658], took 0.18min
2025-12-04T09:09:10.2380667Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-97286338398f7af0.xml
2025-12-04T09:09:10.3326104Z Running test_extension_utils 1/1 ... [2025-12-04 09:09:10.332303][833.832640475]
2025-12-04T09:09:10.3326622Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:09:10.3329886Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:10.332745]
2025-12-04T09:09:15.9054223Z 
2025-12-04T09:09:15.9055122Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_95801839232fa89e_.log
2025-12-04T09:09:15.9055927Z Running 0 items in this shard:
2025-12-04T09:09:15.9056119Z 
2025-12-04T09:09:15.9056436Z Finished test_extension_utils 1/1 ... [2025-12-04 09:09:15.905259][839.405598714], took 0.09min
2025-12-04T09:09:15.9075691Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_extension_utils/test_extension_utils-7d159d7b94331268.xml
2025-12-04T09:09:15.9356053Z Running test_show_pickle 1/1 ... [2025-12-04 09:09:15.935344][839.435680432]
2025-12-04T09:09:15.9356536Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:09:15.9359854Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:15.935763]
2025-12-04T09:09:21.3079221Z 
2025-12-04T09:09:21.3080109Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_55875fd924bc2311_.log
2025-12-04T09:09:21.3081128Z Running 0 items in this shard:
2025-12-04T09:09:21.3081338Z 
2025-12-04T09:09:21.3081617Z Finished test_show_pickle 1/1 ... [2025-12-04 09:09:21.307717][844.808055641], took 0.09min
2025-12-04T09:09:21.3104421Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_show_pickle/test_show_pickle-d1db7beacae29e45.xml
2025-12-04T09:09:21.3342888Z Running test_torch 1/1 ... [2025-12-04 09:09:21.334044][844.834381639]
2025-12-04T09:09:21.3343319Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:09:21.3347378Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:21.334484]
2025-12-04T09:10:37.6669847Z 
2025-12-04T09:10:37.6670662Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_b42ebedb11189eeb_.log
2025-12-04T09:10:37.6686397Z Running 60 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::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, 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_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::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu
2025-12-04T09:10:37.6703826Z 
2025-12-04T09:10:37.6704062Z Finished test_torch 1/1 ... [2025-12-04 09:10:37.666922][921.167257728], took 1.27min
2025-12-04T09:10:37.6704976Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-77ba440e3b3c8bab.xml
2025-12-04T09:10:37.7678474Z Running test_tensorexpr 1/1 ... [2025-12-04 09:10:37.767627][921.267963868]
2025-12-04T09:10:37.7678946Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:37.7682493Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:37.768021]
2025-12-04T09:10:43.1404704Z 
2025-12-04T09:10:43.1405566Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_e1a04223f185b2d7_.log
2025-12-04T09:10:43.1406319Z Running 0 items in this shard:
2025-12-04T09:10:43.1406511Z 
2025-12-04T09:10:43.1406782Z Finished test_tensorexpr 1/1 ... [2025-12-04 09:10:43.140313][926.640649769], took 0.09min
2025-12-04T09:10:43.1435826Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-d859ff475d2b0f06.xml
2025-12-04T09:10:43.1725498Z Running test_utils 1/1 ... [2025-12-04 09:10:43.172273][926.672611924]
2025-12-04T09:10:43.1725940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:43.1729705Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:43.172727]
2025-12-04T09:10:53.8516801Z 
2025-12-04T09:10:53.8517635Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_e3972022fba29b79_.log
2025-12-04T09:10:53.8526194Z Running 30 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::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
2025-12-04T09:10:53.8534284Z 
2025-12-04T09:10:53.8534511Z Finished test_utils 1/1 ... [2025-12-04 09:10:53.851591][937.35192786], took 0.18min
2025-12-04T09:10:53.8546878Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-7c724ceb876aba7c.xml
2025-12-04T09:10:53.9463927Z Running test_namedtuple_return_api 1/1 ... [2025-12-04 09:10:53.946133][937.446469953]
2025-12-04T09:10:53.9464429Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:53.9468321Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:53.946578]
2025-12-04T09:10:59.3187155Z 
2025-12-04T09:10:59.3188119Z 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_44f47ef41afe6296_.log
2025-12-04T09:10:59.3188965Z Running 0 items in this shard:
2025-12-04T09:10:59.3189155Z 
2025-12-04T09:10:59.3189465Z Finished test_namedtuple_return_api 1/1 ... [2025-12-04 09:10:59.318557][942.818896964], took 0.09min
2025-12-04T09:10:59.3218762Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-e647a60643e32c27.xml
2025-12-04T09:10:59.3487101Z Running test_fake_tensor 1/1 ... [2025-12-04 09:10:59.348495][942.848832501]
2025-12-04T09:10:59.3487564Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:59.3491362Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:59.348905]
2025-12-04T09:11:14.1841249Z 
2025-12-04T09:11:14.1842225Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_c5d88cc812963ef2_.log
2025-12-04T09:11:14.1847727Z Running 15 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
2025-12-04T09:11:14.1853176Z 
2025-12-04T09:11:14.1853462Z Finished test_fake_tensor 1/1 ... [2025-12-04 09:11:14.183968][957.684307071], took 0.25min
2025-12-04T09:11:14.1874992Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-5c296efccdd0bb9b.xml
2025-12-04T09:11:14.2871281Z Running test_multiprocessing 1/1 ... [2025-12-04 09:11:14.286837][957.787173155]
2025-12-04T09:11:14.2871806Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:11:14.2875178Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:11:14.287294]
2025-12-04T09:11:20.0597644Z 
2025-12-04T09:11:20.0598532Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_fef1b63283c9bd45_.log
2025-12-04T09:11:20.0609232Z Running 30 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_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
2025-12-04T09:11:20.0619403Z 
2025-12-04T09:11:20.0619706Z Finished test_multiprocessing 1/1 ... [2025-12-04 09:11:20.059626][963.559964128], took 0.10min
2025-12-04T09:11:20.0632398Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-d2f35ff205aea11a.xml
2025-12-04T09:11:20.0943157Z Running test_fx 1/2 ... [2025-12-04 09:11:20.094093][963.594431168]
2025-12-04T09:11:20.0943579Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:11:20.0947121Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx.py', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:11:20.094487]
2025-12-04T09:14:38.1547330Z 
2025-12-04T09:14:38.1549424Z test_fx 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.2_9ebfe8bb46487e68_.log
2025-12-04T09:14:38.1560008Z Running 15 items in this shard: 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
2025-12-04T09:14:38.1569598Z 
2025-12-04T09:14:38.1569993Z Finished test_fx 1/2 ... [2025-12-04 09:14:38.154565][1161.65490446], took 3.30min
2025-12-04T09:14:38.1591565Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx/test_fx-0cc845d7f538f32c.xml
2025-12-04T09:14:38.2475950Z Running test_fx 2/2 ... [2025-12-04 09:14:38.247275][1161.747611495]
2025-12-04T09:14:38.2476660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:14:38.2481362Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx.py', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:38.247789]
2025-12-04T09:14:47.1248821Z 
2025-12-04T09:14:47.1249642Z test_fx 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_2.2_d1389fbb02c9bb9e_.log
2025-12-04T09:14:47.1253087Z Running 15 items in this shard: 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
2025-12-04T09:14:47.1256071Z 
2025-12-04T09:14:47.1256303Z Finished test_fx 2/2 ... [2025-12-04 09:14:47.124689][1170.625024877], took 0.15min
2025-12-04T09:14:47.1285641Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx/test_fx-010afb0ba68a16d0.xml
2025-12-04T09:14:47.2243739Z Running test_autograd_fallback 1/1 ... [2025-12-04 09:14:47.224056][1170.724392062]
2025-12-04T09:14:47.2244219Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:14:47.2247141Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:47.224484]
2025-12-04T09:14:52.5963644Z 
2025-12-04T09:14:52.5964558Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_e85fb74db45e343d_.log
2025-12-04T09:14:52.5965649Z Running 0 items in this shard:
2025-12-04T09:14:52.5965848Z 
2025-12-04T09:14:52.5966159Z Finished test_autograd_fallback 1/1 ... [2025-12-04 09:14:52.596206][1176.096544996], took 0.09min
2025-12-04T09:14:52.6002567Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-03aec055a2be1821.xml
2025-12-04T09:14:52.6266661Z Running test_autocast 1/1 ... [2025-12-04 09:14:52.626457][1176.126795402]
2025-12-04T09:14:52.6267112Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:14:52.6270917Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:52.626861]
2025-12-04T09:14:58.3492603Z 
2025-12-04T09:14:58.3493545Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_4f12680bda6d1f87_.log
2025-12-04T09:14:58.3494284Z Running 0 items in this shard:
2025-12-04T09:14:58.3494478Z 
2025-12-04T09:14:58.3494761Z Finished test_autocast 1/1 ... [2025-12-04 09:14:58.349099][1181.849438305], took 0.10min
2025-12-04T09:14:58.3533050Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-852c12c321c11bae.xml
2025-12-04T09:14:58.3865335Z Running test_python_dispatch 1/1 ... [2025-12-04 09:14:58.386315][1181.886654887]
2025-12-04T09:14:58.3865813Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:14:58.3869381Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:58.386712]
2025-12-04T09:15:05.5113312Z 
2025-12-04T09:15:05.5114422Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_3392d8603cb7a69a_.log
2025-12-04T09:15:05.5115240Z Running 0 items in this shard:
2025-12-04T09:15:05.5115432Z 
2025-12-04T09:15:05.5115717Z Finished test_python_dispatch 1/1 ... [2025-12-04 09:15:05.511166][1189.01150129], took 0.12min
2025-12-04T09:15:05.5160489Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-706de03b4a3cf5c4.xml
2025-12-04T09:15:05.6039721Z Running test_jit_disabled 1/1 ... [2025-12-04 09:15:05.603712][1189.104050205]
2025-12-04T09:15:05.6040223Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:05.6044436Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:05.604154]
2025-12-04T09:15:10.8758920Z 
2025-12-04T09:15:10.8759739Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_747d0c22f9029d6f_.log
2025-12-04T09:15:10.8760786Z Running 0 items in this shard:
2025-12-04T09:15:10.8760974Z 
2025-12-04T09:15:10.8761252Z Finished test_jit_disabled 1/1 ... [2025-12-04 09:15:10.875727][1194.376064998], took 0.09min
2025-12-04T09:15:10.8803014Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-fa595a310f8cd8aa.xml
2025-12-04T09:15:10.9067387Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:15:10.906475][1194.406815188]
2025-12-04T09:15:10.9067914Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:10.9071658Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:10.906893]
2025-12-04T09:15:16.1785823Z 
2025-12-04T09:15:16.1786832Z 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_12c1dbb87b161752_.log
2025-12-04T09:15:16.1787736Z Running 0 items in this shard:
2025-12-04T09:15:16.1787928Z 
2025-12-04T09:15:16.1788289Z Finished test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:15:16.178416][1199.678755042], took 0.09min
2025-12-04T09:15:16.1836009Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-d2e68e4e05be5119.xml
2025-12-04T09:15:16.2104232Z Running functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:15:16.210225][1199.710564992]
2025-12-04T09:15:16.2104832Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:16.2108553Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:16.210616]
2025-12-04T09:15:21.9331224Z 
2025-12-04T09:15:21.9332349Z 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_6bc13edc7b049c16_.log
2025-12-04T09:15:21.9333400Z Running 0 items in this shard:
2025-12-04T09:15:21.9333627Z 
2025-12-04T09:15:21.9334039Z Finished functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:15:21.932956][1205.433294338], took 0.10min
2025-12-04T09:15:21.9380023Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-32a30cc3ef29da14.xml
2025-12-04T09:15:21.9659312Z Running test_tensor_creation_ops 1/1 ... [2025-12-04 09:15:21.965694][1205.466032529]
2025-12-04T09:15:21.9659855Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:21.9663415Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:21.966093]
2025-12-04T09:15:27.9886833Z 
2025-12-04T09:15:27.9887703Z 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_287c9e829263fdcd_.log
2025-12-04T09:15:27.9888521Z Running 0 items in this shard:
2025-12-04T09:15:27.9888710Z 
2025-12-04T09:15:27.9889042Z Finished test_tensor_creation_ops 1/1 ... [2025-12-04 09:15:27.988530][1211.488868216], took 0.10min
2025-12-04T09:15:27.9940496Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-c3fd9842f301a0ba.xml
2025-12-04T09:15:28.0819920Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:15:28.081729][1211.582066453]
2025-12-04T09:15:28.0820480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:28.0824003Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:28.082159]
2025-12-04T09:15:33.3537837Z 
2025-12-04T09:15:33.3538872Z 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_c3ce11ea9a924058_.log
2025-12-04T09:15:33.3540053Z Running 0 items in this shard:
2025-12-04T09:15:33.3540251Z 
2025-12-04T09:15:33.3540614Z Finished test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:15:33.353636][1216.85397432], took 0.09min
2025-12-04T09:15:33.3619401Z 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-74174d084bdf380e.xml
2025-12-04T09:15:33.3951251Z Running test_dispatch 1/1 ... [2025-12-04 09:15:33.394913][1216.895250454]
2025-12-04T09:15:33.3951726Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:33.3955466Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:33.395309]
2025-12-04T09:15:38.5665967Z 
2025-12-04T09:15:38.5666855Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_b8df7f9ec634d6d1_.log
2025-12-04T09:15:38.5667589Z Running 0 items in this shard:
2025-12-04T09:15:38.5667791Z 
2025-12-04T09:15:38.5668052Z Finished test_dispatch 1/1 ... [2025-12-04 09:15:38.566449][1222.066787791], took 0.09min
2025-12-04T09:15:38.5723045Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dispatch/test_dispatch-332f15e74348d983.xml
2025-12-04T09:15:38.5998874Z Running nn/test_convolution 1/1 ... [2025-12-04 09:15:38.599681][1222.099997921]
2025-12-04T09:15:38.5999355Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:38.6003085Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:38.600079]
2025-12-04T09:15:44.8228561Z 
2025-12-04T09:15:44.8229736Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_789724b5192211bb_.log
2025-12-04T09:15:44.8230542Z Running 0 items in this shard:
2025-12-04T09:15:44.8230733Z 
2025-12-04T09:15:44.8231025Z Finished nn/test_convolution 1/1 ... [2025-12-04 09:15:44.822676][1228.323014876], took 0.10min
2025-12-04T09:15:44.8282126Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-84dc0b2914b7726d.xml
2025-12-04T09:15:44.9166022Z Running test_cpp_extensions_jit 1/1 ... [2025-12-04 09:15:44.916365][1228.41670339]
2025-12-04T09:15:44.9166661Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:44.9170233Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:44.916757]
2025-12-04T09:15:50.2883076Z 
2025-12-04T09:15:50.2884281Z 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_9f9be6dd5099e107_.log
2025-12-04T09:15:50.2885363Z Running 0 items in this shard:
2025-12-04T09:15:50.2885566Z 
2025-12-04T09:15:50.2885855Z Finished test_cpp_extensions_jit 1/1 ... [2025-12-04 09:15:50.288162][1233.788500239], took 0.09min
2025-12-04T09:15:50.2939138Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-b30a3d76b5aeaa84.xml
2025-12-04T09:15:50.3231177Z Running test_nn 1/1 ... [2025-12-04 09:15:50.322941][1233.823279727]
2025-12-04T09:15:50.3231815Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:50.3235806Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:50.323314]
2025-12-04T09:15:57.5974592Z 
2025-12-04T09:15:57.5975357Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_bfe26b1983bbb902_.log
2025-12-04T09:15:57.5976096Z Running 0 items in this shard:
2025-12-04T09:15:57.5976344Z 
2025-12-04T09:15:57.5976570Z Finished test_nn 1/1 ... [2025-12-04 09:15:57.597132][1241.097471205], took 0.12min
2025-12-04T09:15:57.6029645Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-1c948546bafe5a83.xml
2025-12-04T09:15:57.7148171Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 09:15:57.714589][1241.214928034]
2025-12-04T09:15:57.7148973Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:57.7152498Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:57.714981]
2025-12-04T09:16:07.8429197Z 
2025-12-04T09:16:07.8430440Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_26160defdb799e0d_.log
2025-12-04T09:16:07.8431307Z Running 0 items in this shard:
2025-12-04T09:16:07.8431499Z 
2025-12-04T09:16:07.8431840Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 09:16:07.842769][1251.343107191], took 0.17min
2025-12-04T09:16:07.8486779Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-5e18ee8558adbc81.xml
2025-12-04T09:16:07.9430576Z Running nn/test_pooling 1/1 ... [2025-12-04 09:16:07.942832][1251.443171012]
2025-12-04T09:16:07.9431292Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:07.9434921Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:07.943228]
2025-12-04T09:16:13.4149504Z 
2025-12-04T09:16:13.4150372Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_19ccef7f633684bf_.log
2025-12-04T09:16:13.4151128Z Running 0 items in this shard:
2025-12-04T09:16:13.4151320Z 
2025-12-04T09:16:13.4151602Z Finished nn/test_pooling 1/1 ... [2025-12-04 09:16:13.414787][1256.915125732], took 0.09min
2025-12-04T09:16:13.4210419Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-34c2739fbdc1762d.xml
2025-12-04T09:16:13.4498485Z Running test_cuda_trace 1/1 ... [2025-12-04 09:16:13.449604][1256.949943925]
2025-12-04T09:16:13.4498940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:13.4502682Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:13.450033]
2025-12-04T09:16:18.4711383Z 
2025-12-04T09:16:18.4712168Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_de5753d1b937af04_.log
2025-12-04T09:16:18.4712895Z Running 0 items in this shard:
2025-12-04T09:16:18.4713111Z 
2025-12-04T09:16:18.4713364Z Finished test_cuda_trace 1/1 ... [2025-12-04 09:16:18.470946][1261.97128554], took 0.08min
2025-12-04T09:16:18.4776745Z Running test_native_mha 1/1 ... [2025-12-04 09:16:18.477454][1261.977793338]
2025-12-04T09:16:18.4777451Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:18.4780631Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:18.477856]
2025-12-04T09:16:23.8997001Z 
2025-12-04T09:16:23.8997865Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_6eb4ed952868d6f8_.log
2025-12-04T09:16:23.8998600Z Running 0 items in this shard:
2025-12-04T09:16:23.8998786Z 
2025-12-04T09:16:23.8999048Z Finished test_native_mha 1/1 ... [2025-12-04 09:16:23.899529][1267.399868381], took 0.09min
2025-12-04T09:16:23.9062766Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_mha/test_native_mha-7a17e6cb93e7f1b7.xml
2025-12-04T09:16:23.9904557Z Running test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:16:23.990236][1267.490574665]
2025-12-04T09:16:23.9905059Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:23.9908494Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:23.990617]
2025-12-04T09:16:29.0115037Z 
2025-12-04T09:16:29.0116130Z 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_575ac355474c45fd_.log
2025-12-04T09:16:29.0116953Z Running 0 items in this shard:
2025-12-04T09:16:29.0117158Z 
2025-12-04T09:16:29.0117457Z Finished test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:16:29.011373][1272.511712234], took 0.08min
2025-12-04T09:16:29.0184875Z Running test_mobile_optimizer 1/1 ... [2025-12-04 09:16:29.018341][1272.51868155]
2025-12-04T09:16:29.0185354Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:29.0189117Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:29.018703]
2025-12-04T09:16:34.6905632Z 
2025-12-04T09:16:34.6906495Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_2b95913e365e86cb_.log
2025-12-04T09:16:34.6917639Z Running 30 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_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
2025-12-04T09:16:34.6928342Z 
2025-12-04T09:16:34.6928641Z Finished test_mobile_optimizer 1/1 ... [2025-12-04 09:16:34.690495][1278.190832865], took 0.09min
2025-12-04T09:16:34.6973267Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-cf0c557d4599d276.xml
2025-12-04T09:16:34.8063666Z Running test_overrides 1/1 ... [2025-12-04 09:16:34.806138][1278.306476789]
2025-12-04T09:16:34.8064153Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:34.8067522Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:34.806519]
2025-12-04T09:16:41.2298350Z 
2025-12-04T09:16:41.2299215Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_b5e1ec6fe50b30d8_.log
2025-12-04T09:16:41.2323803Z Running 75 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, 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, 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_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, 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_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
2025-12-04T09:16:41.2348031Z 
2025-12-04T09:16:41.2348292Z Finished test_overrides 1/1 ... [2025-12-04 09:16:41.229823][1284.730161653], took 0.11min
2025-12-04T09:16:41.2363846Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_overrides/test_overrides-a8676b7fb758f691.xml
2025-12-04T09:16:41.3375994Z Running test_cuda_primary_ctx 1/1 ... [2025-12-04 09:16:41.337363][1284.837701918]
2025-12-04T09:16:41.3376497Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:41.3380175Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:41.337741]
2025-12-04T09:16:46.6089962Z 
2025-12-04T09:16:46.6090875Z 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_3e4951375787f0e0_.log
2025-12-04T09:16:46.6091671Z Running 0 items in this shard:
2025-12-04T09:16:46.6091875Z 
2025-12-04T09:16:46.6092159Z Finished test_cuda_primary_ctx 1/1 ... [2025-12-04 09:16:46.608831][1290.109169005], took 0.09min
2025-12-04T09:16:46.6159018Z Running test_reductions 1/1 ... [2025-12-04 09:16:46.615761][1290.116101503]
2025-12-04T09:16:46.6159466Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:46.6163354Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:46.616131]
2025-12-04T09:16:56.1437364Z 
2025-12-04T09:16:56.1438224Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_b9fb04f6afc611c5_.log
2025-12-04T09:16:56.1443322Z Running 15 items in this shard: test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64
2025-12-04T09:16:56.1448161Z 
2025-12-04T09:16:56.1448448Z Finished test_reductions 1/1 ... [2025-12-04 09:16:56.143594][1299.643932669], took 0.16min
2025-12-04T09:16:56.1505498Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-42b975aa35dcbce7.xml
2025-12-04T09:16:56.2387204Z Running test_spectral_ops 1/1 ... [2025-12-04 09:16:56.238463][1299.738800316]
2025-12-04T09:16:56.2387700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:56.2390943Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:56.238869]
2025-12-04T09:17:03.6143494Z 
2025-12-04T09:17:03.6144399Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_95e257cf3a772de8_.log
2025-12-04T09:17:03.6145146Z Running 0 items in this shard:
2025-12-04T09:17:03.6145351Z 
2025-12-04T09:17:03.6145621Z Finished test_spectral_ops 1/1 ... [2025-12-04 09:17:03.614162][1307.114500971], took 0.12min
2025-12-04T09:17:03.6213200Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-7dc2cc827bf264f5.xml
2025-12-04T09:17:03.7184870Z Running distributions/test_distributions 1/1 ... [2025-12-04 09:17:03.718193][1307.218529152]
2025-12-04T09:17:03.7185427Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:17:03.7188487Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:03.718603]
2025-12-04T09:17:10.2427684Z 
2025-12-04T09:17:10.2428791Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_4e9cd58da93e32ae_.log
2025-12-04T09:17:10.2435416Z Running 15 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
2025-12-04T09:17:10.2441514Z 
2025-12-04T09:17:10.2441875Z Finished distributions/test_distributions 1/1 ... [2025-12-04 09:17:10.242639][1313.742977638], took 0.11min
2025-12-04T09:17:10.2497639Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-5d081f33a2185410.xml
2025-12-04T09:17:10.3513896Z Running test_autoload_disable 1/1 ... [2025-12-04 09:17:10.351099][1313.85143527]
2025-12-04T09:17:10.7898038Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:17:16.1220714Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:17:16.1243044Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:17:29.2947294Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done
2025-12-04T09:17:29.3241933Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079586 sha256=308cc2c6c69b033d92d5ea41f17913ec9cfaa7aa38e68eaa5b75bb9a6553850e
2025-12-04T09:17:29.3243381Z   Stored in directory: /tmp/pip-ephem-wheel-cache-0jzclylc/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T09:17:29.3267132Z Successfully built torch_test_cpp_extension
2025-12-04T09:17:29.9195693Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:17:30.1539162Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:17:34.4653908Z 
2025-12-04T09:17:34.4654285Z Running tests...
2025-12-04T09:17:34.4654661Z ----------------------------------------------------------------------
2025-12-04T09:17:34.6501449Z s
2025-12-04T09:17:34.6501835Z ----------------------------------------------------------------------
2025-12-04T09:17:34.6502240Z Ran 1 test in 0.185s
2025-12-04T09:17:34.6502395Z 
2025-12-04T09:17:34.6502495Z OK (skipped=1)
2025-12-04T09:17:34.6502643Z 
2025-12-04T09:17:34.6503052Z Generating XML reports...
2025-12-04T09:17:35.4840899Z Finished test_autoload_disable 1/1 ... [2025-12-04 09:17:35.483756][1338.98408778], took 0.42min
2025-12-04T09:17:35.4930670Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091734.xml
2025-12-04T09:17:35.6011570Z Running test_autoload_enable 1/1 ... [2025-12-04 09:17:35.600923][1339.101261189]
2025-12-04T09:17:36.0277080Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:17:41.0540878Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:17:41.0563265Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:17:53.7723223Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done
2025-12-04T09:17:53.8018560Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079586 sha256=c576aba816cf7239006e5f6fb5723d79458346dbb782ba8679e88ea7c009a4a3
2025-12-04T09:17:53.8020053Z   Stored in directory: /tmp/pip-ephem-wheel-cache-giqqbfn1/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T09:17:53.8043556Z Successfully built torch_test_cpp_extension
2025-12-04T09:17:54.3925225Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:17:54.6293530Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:17:58.9397060Z 
2025-12-04T09:17:58.9397289Z Running tests...
2025-12-04T09:17:58.9397631Z ----------------------------------------------------------------------
2025-12-04T09:17:59.1268437Z s
2025-12-04T09:17:59.1268796Z ----------------------------------------------------------------------
2025-12-04T09:17:59.1269201Z Ran 1 test in 0.187s
2025-12-04T09:17:59.1269358Z 
2025-12-04T09:17:59.1269448Z OK (skipped=1)
2025-12-04T09:17:59.1269591Z 
2025-12-04T09:17:59.1269689Z Generating XML reports...
2025-12-04T09:17:59.9364171Z Finished test_autoload_enable 1/1 ... [2025-12-04 09:17:59.936071][1363.436402541], took 0.41min
2025-12-04T09:17:59.9436612Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091758.xml
2025-12-04T09:18:00.0454637Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:18:00.045204][1363.545541014]
2025-12-04T09:18:00.5186983Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:18:05.5472168Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:18:05.5494321Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:18:15.7233665Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - done
2025-12-04T09:18:15.7303822Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=2185946 sha256=775170653d7458d6637ea741a5b22a48621d01386d3676f73b70ec117554c8de
2025-12-04T09:18:15.7305227Z   Stored in directory: /tmp/pip-ephem-wheel-cache-48ghq5gg/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T09:18:15.7329075Z Successfully built torch_test_cpp_extension
2025-12-04T09:18:16.3216648Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:18:16.3832228Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:18:16.8941996Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test
2025-12-04T09:18:20.4465794Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:18:20.4489398Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test
2025-12-04T09:18:24.3862876Z   Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done
2025-12-04T09:18:24.3871500Z [?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=2983 sha256=7a3f38a158941cb53588db0a68dd511faf1b55e04541fcdba4e64582ee5b7272
2025-12-04T09:18:24.3872896Z   Stored in directory: /tmp/pip-ephem-wheel-cache-b2kn09s5/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80
2025-12-04T09:18:24.3896195Z Successfully built no_python_abi_suffix_test
2025-12-04T09:18:24.9875558Z Installing collected packages: no_python_abi_suffix_test
2025-12-04T09:18:25.0006510Z Successfully installed no_python_abi_suffix_test-0.0.0
2025-12-04T09:18:25.0832770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:18:25.0836827Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:25.083441]
2025-12-04T09:18:30.4052066Z 
2025-12-04T09:18:30.4053184Z 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_8e4e4a21d1d4a59a_.log
2025-12-04T09:18:30.4054038Z Running 0 items in this shard:
2025-12-04T09:18:30.4054243Z 
2025-12-04T09:18:30.4054592Z Finished test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:18:30.405126][1393.905463997], took 0.51min
2025-12-04T09:18:30.4125736Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-88c326a9db53433b.xml
2025-12-04T09:18:30.4989676Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:18:30.498738][1393.9990773]
2025-12-04T09:18:30.9243263Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:18:35.9220538Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:18:35.9243362Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:18:48.6463401Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done
2025-12-04T09:18:48.6758586Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079586 sha256=e68a369330801f4878c6f291c2b9b93209fcd3504f58e05d403fdafba6e57664
2025-12-04T09:18:48.6760030Z   Stored in directory: /tmp/pip-ephem-wheel-cache-e8qaljm_/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T09:18:48.6783192Z Successfully built torch_test_cpp_extension
2025-12-04T09:18:49.2730342Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:18:49.5088371Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:18:50.0225682Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test
2025-12-04T09:18:53.5498487Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:18:53.5522335Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test
2025-12-04T09:18:57.3624935Z   Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done
2025-12-04T09:18:57.3633321Z [?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=2983 sha256=bdc45c9959e368b56034910495f2f525ba32bf5dacb321aa9c732c00022277e2
2025-12-04T09:18:57.3635015Z   Stored in directory: /tmp/pip-ephem-wheel-cache-bw3m18ks/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80
2025-12-04T09:18:57.3658433Z Successfully built no_python_abi_suffix_test
2025-12-04T09:18:57.9775642Z Installing collected packages: no_python_abi_suffix_test
2025-12-04T09:18:57.9888455Z Successfully installed no_python_abi_suffix_test-0.0.0
2025-12-04T09:18:58.0725064Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:18:58.0731292Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:58.072710]
2025-12-04T09:19:03.4945216Z 
2025-12-04T09:19:03.4946378Z 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_6e7ccb80b7456556_.log
2025-12-04T09:19:03.4947303Z Running 0 items in this shard:
2025-12-04T09:19:03.4947494Z 
2025-12-04T09:19:03.4947834Z Finished test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:19:03.494485][1426.994821816], took 0.55min
2025-12-04T09:19:03.5020436Z 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-f9203d8e21d79c7f.xml
2025-12-04T09:19:03.5837646Z Running inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:19:03.583488][1427.083824222]
2025-12-04T09:19:03.5838226Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:19:03.5841485Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:03.583900]
2025-12-04T09:19:06.9528305Z 
2025-12-04T09:19:06.9529335Z 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_49102cdaf93f9d1e_.log
2025-12-04T09:19:06.9530778Z 
2025-12-04T09:19:06.9531342Z Finished inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:19:06.952622][1430.452960718], took 0.06min
2025-12-04T09:19:06.9606472Z Running test_jit_fuser_te 9/14 ... [2025-12-04 09:19:06.960441][1430.460779725]
2025-12-04T09:19:06.9606950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:19:06.9610455Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_fuser_te.py', '-m', 'serial', '--shard-id=9', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:06.960815]
2025-12-04T09:19:18.8410033Z 
2025-12-04T09:19:18.8410964Z test_jit_fuser_te 9/14 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_fuser_te_9.14_8a0e9bf09bd63e16_.log
2025-12-04T09:19:18.8411782Z Running 0 items in this shard:
2025-12-04T09:19:18.8412006Z 
2025-12-04T09:19:18.8412304Z Finished test_jit_fuser_te 9/14 ... [2025-12-04 09:19:18.840873][1442.341212423], took 0.20min
2025-12-04T09:19:18.8482709Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_fuser_te/test_jit_fuser_te-68c61c0e2816a636.xml
2025-12-04T09:19:18.9409846Z Running inductor/test_torchinductor 2/2 ... [2025-12-04 09:19:18.940697][1442.441034057]
2025-12-04T09:19:18.9410400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:19:18.9413412Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:18.941091]
2025-12-04T09:19:33.3246826Z 
2025-12-04T09:19:33.3248067Z inductor/test_torchinductor 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_2.2_38706309836a1499_.log
2025-12-04T09:19:33.3248996Z Running 0 items in this shard:
2025-12-04T09:19:33.3249205Z 
2025-12-04T09:19:33.3249545Z Finished inductor/test_torchinductor 2/2 ... [2025-12-04 09:19:33.324539][1456.824874722], took 0.24min
2025-12-04T09:19:33.3322385Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor/inductor.test_torchinductor-de542d7741e00a19.xml
2025-12-04T09:19:33.4331310Z Running inductor/test_torchinductor_dynamic_shapes 1/1 ... [2025-12-04 09:19:33.432856][1456.933193773]
2025-12-04T09:19:33.4331915Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:19:33.4334870Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:33.433231]
2025-12-04T09:19:47.0657957Z 
2025-12-04T09:19:47.0659253Z inductor/test_torchinductor_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_1.1_9b5fa2aa54a27c67_.log
2025-12-04T09:19:47.0660167Z 
2025-12-04T09:19:47.0660565Z Finished inductor/test_torchinductor_dynamic_shapes 1/1 ... [2025-12-04 09:19:47.065572][1470.56591209], took 0.23min
2025-12-04T09:19:47.0815856Z Running inductor/test_torchinductor_codegen_dynamic_shapes 1/2 ... [2025-12-04 09:19:47.081358][1470.581697118]
2025-12-04T09:19:47.0816495Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:19:47.0820145Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:47.081764]
2025-12-04T09:20:01.4669481Z 
2025-12-04T09:20:01.4670782Z inductor/test_torchinductor_codegen_dynamic_shapes 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_1.2_3c5ca92409afba88_.log
2025-12-04T09:20:01.4671928Z Running 0 items in this shard:
2025-12-04T09:20:01.4672199Z 
2025-12-04T09:20:01.4672666Z Finished inductor/test_torchinductor_codegen_dynamic_shapes 1/2 ... [2025-12-04 09:20:01.466782][1484.967121214], took 0.24min
2025-12-04T09:20:01.4744725Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-8e3811ff9db48361.xml
2025-12-04T09:20:01.5580464Z Running inductor/test_torchinductor_codegen_dynamic_shapes 2/2 ... [2025-12-04 09:20:01.557772][1485.058110317]
2025-12-04T09:20:01.5581108Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:20:01.5584144Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:01.558144]
2025-12-04T09:20:15.8915183Z 
2025-12-04T09:20:15.8916438Z inductor/test_torchinductor_codegen_dynamic_shapes 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_2.2_dd0ba203505b399b_.log
2025-12-04T09:20:15.8917520Z Running 0 items in this shard:
2025-12-04T09:20:15.8917991Z 
2025-12-04T09:20:15.8918436Z Finished inductor/test_torchinductor_codegen_dynamic_shapes 2/2 ... [2025-12-04 09:20:15.891333][1499.391670315], took 0.24min
2025-12-04T09:20:15.8992345Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-a3c1afc650362f02.xml
2025-12-04T09:20:16.0332314Z Running dynamo/test_dynamic_shapes 2/2 ... [2025-12-04 09:20:16.032941][1499.53327839]
2025-12-04T09:20:16.0332846Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:20:16.0336291Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_dynamic_shapes.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:16.033353]
2025-12-04T09:20:32.4702284Z 
2025-12-04T09:20:32.4703384Z dynamo/test_dynamic_shapes 2/2 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dynamic_shapes_2.2_b5b837fce7fc40d0_.log
2025-12-04T09:20:32.4704258Z Running 0 items in this shard:
2025-12-04T09:20:32.4704450Z 
2025-12-04T09:20:32.4704768Z Finished dynamo/test_dynamic_shapes 2/2 ... [2025-12-04 09:20:32.470061][1515.970397035], took 0.27min
2025-12-04T09:20:32.4780211Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-9ce4eef6d371ca0f.xml
2025-12-04T09:20:32.5659786Z Running inductor/test_cuda_repro 1/1 ... [2025-12-04 09:20:32.565724][1516.066062903]
2025-12-04T09:20:32.5660314Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:20:32.5663636Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cuda_repro.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:32.566100]
2025-12-04T09:20:45.7493089Z 
2025-12-04T09:20:45.7494291Z inductor/test_cuda_repro 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_repro_1.1_dd55ca9c77f6ee44_.log
2025-12-04T09:20:45.7495101Z 
2025-12-04T09:20:45.7495463Z Finished inductor/test_cuda_repro 1/1 ... [2025-12-04 09:20:45.749079][1529.24941843], took 0.22min
2025-12-04T09:20:45.7728325Z Running inductor/test_minifier 1/1 ... [2025-12-04 09:20:45.772606][1529.272943997]
2025-12-04T09:20:45.7728816Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:20:45.7732661Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_minifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:45.773011]
2025-12-04T09:20:58.9552843Z 
2025-12-04T09:20:58.9553775Z inductor/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_1.1_d178a66f6443caf8_.log
2025-12-04T09:20:58.9554484Z 
2025-12-04T09:20:58.9554782Z Finished inductor/test_minifier 1/1 ... [2025-12-04 09:20:58.955071][1542.455407743], took 0.22min
2025-12-04T09:20:58.9638351Z Running inductor/test_custom_lowering 1/1 ... [2025-12-04 09:20:58.963673][1542.464012548]
2025-12-04T09:20:58.9638868Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:20:58.9642509Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_custom_lowering.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:58.964031]
2025-12-04T09:21:12.3462512Z 
2025-12-04T09:21:12.3463801Z inductor/test_custom_lowering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_lowering_1.1_4d716da59cccc896_.log
2025-12-04T09:21:12.3464690Z Running 0 items in this shard:
2025-12-04T09:21:12.3464879Z 
2025-12-04T09:21:12.3465232Z Finished inductor/test_custom_lowering 1/1 ... [2025-12-04 09:21:12.346097][1555.846434327], took 0.22min
2025-12-04T09:21:12.3547816Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_custom_lowering/inductor.test_custom_lowering-cff446ddda2dd912.xml
2025-12-04T09:21:12.4422146Z Running inductor/test_fused_attention 1/1 ... [2025-12-04 09:21:12.441996][1555.942335698]
2025-12-04T09:21:12.4422688Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:21:12.4426254Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fused_attention.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:12.442366]
2025-12-04T09:21:25.8258198Z 
2025-12-04T09:21:25.8259185Z inductor/test_fused_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fused_attention_1.1_15b4430cc79c054d_.log
2025-12-04T09:21:25.8260070Z Running 0 items in this shard:
2025-12-04T09:21:25.8260260Z 
2025-12-04T09:21:25.8260603Z Finished inductor/test_fused_attention 1/1 ... [2025-12-04 09:21:25.825668][1569.326007131], took 0.22min
2025-12-04T09:21:25.8341080Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fused_attention/inductor.test_fused_attention-feed3fa5ac829f37.xml
2025-12-04T09:21:25.9190070Z Running dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 09:21:25.918782][1569.419120655]
2025-12-04T09:21:25.9190653Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:21:25.9193849Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_activation_checkpointing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:25.919144]
2025-12-04T09:21:39.3511635Z 
2025-12-04T09:21:39.3513218Z dynamo/test_activation_checkpointing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_activation_checkpointing_1.1_b46aa0a96de120ab_.log
2025-12-04T09:21:39.3514978Z Running 0 items in this shard:
2025-12-04T09:21:39.3515287Z 
2025-12-04T09:21:39.3515925Z Finished dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 09:21:39.350977][1582.851314876], took 0.22min
2025-12-04T09:21:39.3598978Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_activation_checkpointing/dynamo.test_activation_checkpointing-c3d6905e4e31efab.xml
2025-12-04T09:21:39.4685902Z Running inductor/test_binary_folding 1/1 ... [2025-12-04 09:21:39.468259][1582.968597605]
2025-12-04T09:21:39.4686769Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:21:39.4689483Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_binary_folding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:39.468682]
2025-12-04T09:21:53.2515868Z 
2025-12-04T09:21:53.2516836Z inductor/test_binary_folding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_binary_folding_1.1_1cd400b658d11b17_.log
2025-12-04T09:21:53.2517732Z Running 0 items in this shard:
2025-12-04T09:21:53.2517944Z 
2025-12-04T09:21:53.2518264Z Finished inductor/test_binary_folding 1/1 ... [2025-12-04 09:21:53.251421][1596.751758874], took 0.23min
2025-12-04T09:21:53.2597160Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_binary_folding/inductor.test_binary_folding-ee4c0a0e3edc5b32.xml
2025-12-04T09:21:53.3414380Z Running inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 09:21:53.341216][1596.841554834]
2025-12-04T09:21:53.3414954Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:21:53.3418157Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:53.341596]
2025-12-04T09:22:07.1241995Z 
2025-12-04T09:22:07.1243318Z inductor/test_mkldnn_pattern_matcher 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.2_bda3ee9b54b25fec_.log
2025-12-04T09:22:07.1244303Z Running 0 items in this shard:
2025-12-04T09:22:07.1244490Z 
2025-12-04T09:22:07.1244862Z Finished inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 09:22:07.124051][1610.624389296], took 0.23min
2025-12-04T09:22:07.1323287Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-87f8b8d87ce6c710.xml
2025-12-04T09:22:07.2270025Z Running inductor/test_layout_optim 1/1 ... [2025-12-04 09:22:07.226793][1610.727132033]
2025-12-04T09:22:07.2270541Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:22:07.2273987Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_layout_optim.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:07.227147]
2025-12-04T09:22:20.5091843Z 
2025-12-04T09:22:20.5092868Z inductor/test_layout_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_layout_optim_1.1_704ddd5fd0c52ed6_.log
2025-12-04T09:22:20.5093623Z 
2025-12-04T09:22:20.5093952Z Finished inductor/test_layout_optim 1/1 ... [2025-12-04 09:22:20.508990][1624.009327503], took 0.22min
2025-12-04T09:22:20.5190743Z Running inductor/test_cpu_cpp_wrapper 3/6 ... [2025-12-04 09:22:20.518893][1624.019232644]
2025-12-04T09:22:20.5191268Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:22:20.5194878Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'serial', '--shard-id=3', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:20.519258]
2025-12-04T09:22:35.0529446Z 
2025-12-04T09:22:35.0530464Z inductor/test_cpu_cpp_wrapper 3/6 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_3.6_150640980362e726_.log
2025-12-04T09:22:35.0531380Z Running 0 items in this shard:
2025-12-04T09:22:35.0531569Z 
2025-12-04T09:22:35.0531908Z Finished inductor/test_cpu_cpp_wrapper 3/6 ... [2025-12-04 09:22:35.052786][1638.553123827], took 0.24min
2025-12-04T09:22:35.0759346Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_cpp_wrapper/inductor.test_cpu_cpp_wrapper-4fd6be05e7b0ee26.xml
2025-12-04T09:22:35.1678783Z Running inductor/test_cpu_cpp_wrapper 5/6 ... [2025-12-04 09:22:35.167633][1638.667971431]
2025-12-04T09:22:35.1679326Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:22:35.1682651Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'serial', '--shard-id=5', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:35.168019]
2025-12-04T09:22:49.6531249Z 
2025-12-04T09:22:49.6532310Z inductor/test_cpu_cpp_wrapper 5/6 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_5.6_4883d1fc9821303b_.log
2025-12-04T09:22:49.6533432Z Running 0 items in this shard:
2025-12-04T09:22:49.6533828Z 
2025-12-04T09:22:49.6534408Z Finished inductor/test_cpu_cpp_wrapper 5/6 ... [2025-12-04 09:22:49.652972][1653.153310283], took 0.24min
2025-12-04T09:22:49.6615458Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_cpp_wrapper/inductor.test_cpu_cpp_wrapper-0dd70c52f0ecdab9.xml
2025-12-04T09:22:49.7472708Z Running inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 09:22:49.746938][1653.247277307]
2025-12-04T09:22:49.7473341Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:22:49.7476217Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_strided_blocks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:49.747305]
2025-12-04T09:23:03.4296431Z 
2025-12-04T09:23:03.4297643Z inductor/test_torchinductor_strided_blocks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_strided_blocks_1.1_40c637d1e4b8862f_.log
2025-12-04T09:23:03.4298552Z 
2025-12-04T09:23:03.4298946Z Finished inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 09:23:03.429407][1666.929745722], took 0.23min
2025-12-04T09:23:03.4386612Z Running test_custom_ops 1/1 ... [2025-12-04 09:23:03.438462][1666.938801431]
2025-12-04T09:23:03.4387091Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:23:03.4390890Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_custom_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:03.438846]
2025-12-04T09:23:10.0619675Z 
2025-12-04T09:23:10.0620844Z test_custom_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_custom_ops_1.1_94bb4fb03a26150e_.log
2025-12-04T09:23:10.0621595Z Running 0 items in this shard:
2025-12-04T09:23:10.0621786Z 
2025-12-04T09:23:10.0622055Z Finished test_custom_ops 1/1 ... [2025-12-04 09:23:10.061785][1673.562122453], took 0.11min
2025-12-04T09:23:10.0708259Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_custom_ops/test_custom_ops-36da860e9405c2e5.xml
2025-12-04T09:23:10.1765894Z Running test_content_store 1/1 ... [2025-12-04 09:23:10.176307][1673.67664417]
2025-12-04T09:23:10.1766557Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:23:10.1770022Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_content_store.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:10.176712]
2025-12-04T09:23:15.3978527Z 
2025-12-04T09:23:15.3979692Z test_content_store 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_content_store_1.1_6ce7188305e4f0d1_.log
2025-12-04T09:23:15.3980439Z Running 0 items in this shard:
2025-12-04T09:23:15.3980646Z 
2025-12-04T09:23:15.3980915Z Finished test_content_store 1/1 ... [2025-12-04 09:23:15.397623][1678.897962479], took 0.09min
2025-12-04T09:23:15.4161652Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_content_store/test_content_store-bba1e736e2045e5c.xml
2025-12-04T09:23:15.4401664Z Running inductor/test_compile_subprocess 1/2 ... [2025-12-04 09:23:15.439943][1678.940282817]
2025-12-04T09:23:15.4402515Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:23:15.4405843Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile_subprocess.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:15.440293]
2025-12-04T09:23:29.7234581Z 
2025-12-04T09:23:29.7235871Z inductor/test_compile_subprocess 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_1.2_7b9bc3aeb230ae48_.log
2025-12-04T09:23:29.7236802Z Running 0 items in this shard:
2025-12-04T09:23:29.7236992Z 
2025-12-04T09:23:29.7237626Z Finished inductor/test_compile_subprocess 1/2 ... [2025-12-04 09:23:29.723298][1693.223636275], took 0.24min
2025-12-04T09:23:29.7328720Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-f9fc89957ce1d5f2.xml
2025-12-04T09:23:29.8119213Z Running inductor/test_compile_subprocess 2/2 ... [2025-12-04 09:23:29.811630][1693.311968302]
2025-12-04T09:23:29.8119849Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:23:29.8123016Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile_subprocess.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:29.812010]
2025-12-04T09:23:44.0470698Z 
2025-12-04T09:23:44.0472411Z inductor/test_compile_subprocess 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_2.2_9306a486ff2946b5_.log
2025-12-04T09:23:44.0473902Z Running 0 items in this shard:
2025-12-04T09:23:44.0474194Z 
2025-12-04T09:23:44.0474819Z Finished inductor/test_compile_subprocess 2/2 ... [2025-12-04 09:23:44.046907][1707.54724589], took 0.24min
2025-12-04T09:23:44.0562211Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-e60d211f62269e7b.xml
2025-12-04T09:23:44.1464713Z Running inductor/test_multi_kernel 1/1 ... [2025-12-04 09:23:44.146273][1707.646612708]
2025-12-04T09:23:44.1465249Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:23:44.1468634Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_multi_kernel.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:44.146631]
2025-12-04T09:23:57.2816104Z 
2025-12-04T09:23:57.2817086Z inductor/test_multi_kernel 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_multi_kernel_1.1_c3010a077a9067f8_.log
2025-12-04T09:23:57.2817890Z 
2025-12-04T09:23:57.2818201Z Finished inductor/test_multi_kernel 1/1 ... [2025-12-04 09:23:57.281419][1720.78175731], took 0.22min
2025-12-04T09:23:57.2914495Z Running inductor/test_subgraph_choice 1/1 ... [2025-12-04 09:23:57.291256][1720.791595195]
2025-12-04T09:23:57.2915018Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:23:57.2919330Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_subgraph_choice.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:57.291676]
2025-12-04T09:24:10.2763479Z 
2025-12-04T09:24:10.2764983Z inductor/test_subgraph_choice 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_subgraph_choice_1.1_899523011046d170_.log
2025-12-04T09:24:10.2766764Z 
2025-12-04T09:24:10.2767434Z Finished inductor/test_subgraph_choice 1/1 ... [2025-12-04 09:24:10.276136][1733.776473769], took 0.22min
2025-12-04T09:24:10.2972740Z Running inductor/test_ck_backend 1/1 ... [2025-12-04 09:24:10.297008][1733.797347427]
2025-12-04T09:24:10.2973589Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:24:10.2978525Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_ck_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:10.297473]
2025-12-04T09:24:23.5296069Z 
2025-12-04T09:24:23.5297843Z inductor/test_ck_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_ck_backend_1.1_c93805c8d61ba06b_.log
2025-12-04T09:24:23.5298628Z 
2025-12-04T09:24:23.5298937Z Finished inductor/test_ck_backend 1/1 ... [2025-12-04 09:24:23.529401][1747.029739072], took 0.22min
2025-12-04T09:24:23.5393682Z Running inductor/test_autoheuristic 1/1 ... [2025-12-04 09:24:23.539124][1747.039463374]
2025-12-04T09:24:23.5394314Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:24:23.5398169Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_autoheuristic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:23.539539]
2025-12-04T09:24:36.7716741Z 
2025-12-04T09:24:36.7717943Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_a95a2450ae16979b_.log
2025-12-04T09:24:36.7718800Z 
2025-12-04T09:24:36.7719134Z Finished inductor/test_autoheuristic 1/1 ... [2025-12-04 09:24:36.771454][1760.271793893], took 0.22min
2025-12-04T09:24:36.7814053Z Running inductor/test_native_matmul 1/1 ... [2025-12-04 09:24:36.781235][1760.281574214]
2025-12-04T09:24:36.7814569Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:24:36.7818230Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_native_matmul.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:36.781608]
2025-12-04T09:24:50.0645162Z 
2025-12-04T09:24:50.0646201Z inductor/test_native_matmul 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_native_matmul_1.1_ef70123a136bbb4f_.log
2025-12-04T09:24:50.0647098Z 
2025-12-04T09:24:50.0647454Z Finished inductor/test_native_matmul 1/1 ... [2025-12-04 09:24:50.064300][1773.564639061], took 0.22min
2025-12-04T09:24:50.0744021Z Running inductor/test_selective_lowering 1/1 ... [2025-12-04 09:24:50.074201][1773.574540827]
2025-12-04T09:24:50.0744562Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:24:50.0748240Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_selective_lowering.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:50.074584]
2025-12-04T09:25:03.5073924Z 
2025-12-04T09:25:03.5074972Z inductor/test_selective_lowering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_selective_lowering_1.1_90d6aa525d636565_.log
2025-12-04T09:25:03.5075778Z 
2025-12-04T09:25:03.5076158Z Finished inductor/test_selective_lowering 1/1 ... [2025-12-04 09:25:03.507156][1787.007493941], took 0.22min
2025-12-04T09:25:03.5181355Z Running inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 09:25:03.517896][1787.018233475]
2025-12-04T09:25:03.5182285Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:25:03.5185141Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_move_constructors_to_gpu.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:03.518283]
2025-12-04T09:25:16.4995754Z 
2025-12-04T09:25:16.4997216Z inductor/test_move_constructors_to_gpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_move_constructors_to_gpu_1.1_f5b8db3c5bb18d0a_.log
2025-12-04T09:25:16.4998087Z 
2025-12-04T09:25:16.4998451Z Finished inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 09:25:16.499376][1799.999712842], took 0.22min
2025-12-04T09:25:16.5106002Z Running inductor/test_cudacodecache 1/1 ... [2025-12-04 09:25:16.510384][1800.01072283]
2025-12-04T09:25:16.5106517Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:25:16.5109766Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudacodecache.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:16.510737]
2025-12-04T09:25:29.4927236Z 
2025-12-04T09:25:29.4928243Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_d62c0bba6b873bc1_.log
2025-12-04T09:25:29.4929019Z 
2025-12-04T09:25:29.4929363Z Finished inductor/test_cudacodecache 1/1 ... [2025-12-04 09:25:29.492536][1812.992874772], took 0.22min
2025-12-04T09:25:29.5163316Z Running inductor/test_control_deps 1/1 ... [2025-12-04 09:25:29.516119][1813.016458341]
2025-12-04T09:25:29.5163877Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:25:29.5167345Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_deps.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:29.516494]
2025-12-04T09:25:42.4479068Z 
2025-12-04T09:25:42.4480025Z inductor/test_control_deps 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_deps_1.1_cb1b262e57b55620_.log
2025-12-04T09:25:42.4480776Z 
2025-12-04T09:25:42.4481093Z Finished inductor/test_control_deps 1/1 ... [2025-12-04 09:25:42.447688][1825.948027091], took 0.22min
2025-12-04T09:25:42.4575946Z Running inductor/test_best_config 1/1 ... [2025-12-04 09:25:42.457403][1825.957742424]
2025-12-04T09:25:42.4576493Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:25:42.4579925Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_best_config.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:42.457772]
2025-12-04T09:25:55.3409595Z 
2025-12-04T09:25:55.3410624Z inductor/test_best_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_best_config_1.1_e2645d19ec226713_.log
2025-12-04T09:25:55.3411419Z 
2025-12-04T09:25:55.3411787Z Finished inductor/test_best_config 1/1 ... [2025-12-04 09:25:55.340776][1838.841112795], took 0.21min
2025-12-04T09:25:55.3505176Z Running inductor/test_split_cat_fx_passes 1/1 ... [2025-12-04 09:25:55.350324][1838.850664179]
2025-12-04T09:25:55.3505712Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:25:55.3509429Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_split_cat_fx_passes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:55.350704]
2025-12-04T09:26:08.2820619Z 
2025-12-04T09:26:08.2821619Z inductor/test_split_cat_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_passes_1.1_0a53b420ae911548_.log
2025-12-04T09:26:08.2822430Z 
2025-12-04T09:26:08.2822771Z Finished inductor/test_split_cat_fx_passes 1/1 ... [2025-12-04 09:26:08.281867][1851.782201974], took 0.22min
2025-12-04T09:26:08.2916832Z Running inductor/test_online_softmax 1/1 ... [2025-12-04 09:26:08.291491][1851.791831493]
2025-12-04T09:26:08.2917354Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:08.2921503Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_online_softmax.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:08.291881]
2025-12-04T09:26:21.2730738Z 
2025-12-04T09:26:21.2731733Z inductor/test_online_softmax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_online_softmax_1.1_c28d041975551fa9_.log
2025-12-04T09:26:21.2732496Z 
2025-12-04T09:26:21.2732819Z Finished inductor/test_online_softmax 1/1 ... [2025-12-04 09:26:21.272893][1864.773231681], took 0.22min
2025-12-04T09:26:21.2836117Z Running inductor/test_dependencies 1/1 ... [2025-12-04 09:26:21.283428][1864.783767917]
2025-12-04T09:26:21.2836631Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:21.2840414Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_dependencies.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:21.283798]
2025-12-04T09:26:34.2652995Z 
2025-12-04T09:26:34.2654090Z inductor/test_dependencies 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_dependencies_1.1_76b08bc5175256f3_.log
2025-12-04T09:26:34.2654864Z 
2025-12-04T09:26:34.2655186Z Finished inductor/test_dependencies 1/1 ... [2025-12-04 09:26:34.265090][1877.765429051], took 0.22min
2025-12-04T09:26:34.2762184Z Running inductor/test_pallas 1/1 ... [2025-12-04 09:26:34.276011][1877.776351119]
2025-12-04T09:26:34.2762695Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:34.2766382Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pallas.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:34.276406]
2025-12-04T09:26:47.8587395Z 
2025-12-04T09:26:47.8588277Z inductor/test_pallas 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pallas_1.1_ad736849c10a62dc_.log
2025-12-04T09:26:47.8589013Z 
2025-12-04T09:26:47.8589299Z Finished inductor/test_pallas 1/1 ... [2025-12-04 09:26:47.858548][1891.358887084], took 0.23min
2025-12-04T09:26:47.8694782Z Running inductor/test_needs_exact_strides 1/1 ... [2025-12-04 09:26:47.869303][1891.369642427]
2025-12-04T09:26:47.8695314Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:47.8699526Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_needs_exact_strides.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:47.869710]
2025-12-04T09:27:01.1016923Z 
2025-12-04T09:27:01.1018235Z inductor/test_needs_exact_strides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_needs_exact_strides_1.1_4b7f3f134afe35f3_.log
2025-12-04T09:27:01.1019350Z 
2025-12-04T09:27:01.1019697Z Finished inductor/test_needs_exact_strides 1/1 ... [2025-12-04 09:27:01.101456][1904.601792897], took 0.22min
2025-12-04T09:27:01.1269504Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 09:27:01.126722][1904.627059703]
2025-12-04T09:27:01.1270169Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:01.1273702Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fxir_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:01.127103]
2025-12-04T09:27:14.3085826Z 
2025-12-04T09:27:14.3087144Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_ae99eb1559472245_.log
2025-12-04T09:27:14.3087922Z 
2025-12-04T09:27:14.3088254Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 09:27:14.308389][1917.808725763], took 0.22min
2025-12-04T09:27:14.5683220Z Uploading artifacts took 0.25 seconds
2025-12-04T09:27:14.5687183Z Running dynamo/test_torchrec 1/1 ... [2025-12-04 09:27:14.568549][1918.068887471]
2025-12-04T09:27:14.5687679Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:14.5691558Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_torchrec.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:14.568916]
2025-12-04T09:27:19.7901241Z 
2025-12-04T09:27:19.7902164Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_df61540117339735_.log
2025-12-04T09:27:19.7902976Z Running 0 items in this shard:
2025-12-04T09:27:19.7903180Z 
2025-12-04T09:27:19.7903481Z Finished dynamo/test_torchrec 1/1 ... [2025-12-04 09:27:19.789990][1923.290328206], took 0.09min
2025-12-04T09:27:19.7992174Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_torchrec/dynamo.test_torchrec-89e6bb13979dfd6f.xml
2025-12-04T09:27:19.8271987Z Running xpu/test_fusion 1/1 ... [2025-12-04 09:27:19.827024][1923.327364329]
2025-12-04T09:27:19.8272434Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:19.8275920Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'xpu/test_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:19.827375]
2025-12-04T09:27:25.1486325Z 
2025-12-04T09:27:25.1487278Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_a61087e62f117456_.log
2025-12-04T09:27:25.1488027Z Running 0 items in this shard:
2025-12-04T09:27:25.1488230Z 
2025-12-04T09:27:25.1488499Z Finished xpu/test_fusion 1/1 ... [2025-12-04 09:27:25.148473][1928.648811819], took 0.09min
2025-12-04T09:27:25.1579697Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-736b8288c9c91364.xml
2025-12-04T09:27:25.1829792Z Running xpu/test_gemm 1/1 ... [2025-12-04 09:27:25.182798][1928.683137496]
2025-12-04T09:27:25.1830302Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:25.1833867Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:25.183157]
2025-12-04T09:27:31.1052989Z 
2025-12-04T09:27:31.1053834Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_eb9b1c680782658b_.log
2025-12-04T09:27:31.1054861Z Running 0 items in this shard:
2025-12-04T09:27:31.1055066Z 
2025-12-04T09:27:31.1055313Z Finished xpu/test_gemm 1/1 ... [2025-12-04 09:27:31.105127][1934.605466211], took 0.10min
2025-12-04T09:27:31.1148709Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_gemm/xpu.test_gemm-aeda27566da29cf5.xml
2025-12-04T09:27:31.1436364Z Running test_decomp 4/13 ... [2025-12-04 09:27:31.143479][1934.643818884]
2025-12-04T09:27:31.1436822Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:31.1440647Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=4', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:31.143815]
2025-12-04T09:27:43.0736358Z 
2025-12-04T09:27:43.0737191Z test_decomp 4/13 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_4.13_c3e4fdcccba26140_.log
2025-12-04T09:27:43.0737917Z Running 0 items in this shard:
2025-12-04T09:27:43.0738107Z 
2025-12-04T09:27:43.0738350Z Finished test_decomp 4/13 ... [2025-12-04 09:27:43.073484][1946.57382368], took 0.20min
2025-12-04T09:27:43.0844264Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-eb57c8fd52705c7a.xml
2025-12-04T09:27:43.1985412Z Running test_decomp 6/13 ... [2025-12-04 09:27:43.198340][1946.69867855]
2025-12-04T09:27:43.1985859Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:43.1989615Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=6', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:43.198700]
2025-12-04T09:27:55.0288378Z 
2025-12-04T09:27:55.0289197Z test_decomp 6/13 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_6.13_26132bc94ffb648c_.log
2025-12-04T09:27:55.0289910Z Running 0 items in this shard:
2025-12-04T09:27:55.0290100Z 
2025-12-04T09:27:55.0290354Z Finished test_decomp 6/13 ... [2025-12-04 09:27:55.028266][1958.528603179], took 0.20min
2025-12-04T09:27:55.0382633Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-0ac123620797fe85.xml
2025-12-04T09:27:55.1139210Z Running test_decomp 7/13 ... [2025-12-04 09:27:55.113740][1958.614080131]
2025-12-04T09:27:55.1139651Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:55.1143249Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=7', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:55.114095]
2025-12-04T09:28:07.0937908Z 
2025-12-04T09:28:07.0938781Z test_decomp 7/13 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_7.13_886032ca205615ad_.log
2025-12-04T09:28:07.0939510Z Running 0 items in this shard:
2025-12-04T09:28:07.0939699Z 
2025-12-04T09:28:07.0939956Z Finished test_decomp 7/13 ... [2025-12-04 09:28:07.093635][1970.59397379], took 0.20min
2025-12-04T09:28:07.1036878Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-9e582888b7a91ac5.xml
2025-12-04T09:28:07.1845723Z Running test_decomp 13/13 ... [2025-12-04 09:28:07.184370][1970.684708692]
2025-12-04T09:28:07.1846210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:28:07.1849801Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=13', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:07.184741]
2025-12-04T09:28:19.0144106Z 
2025-12-04T09:28:19.0144916Z test_decomp 13/13 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_13.13_d60af8b3c737c1a4_.log
2025-12-04T09:28:19.0145658Z Running 0 items in this shard:
2025-12-04T09:28:19.0145849Z 
2025-12-04T09:28:19.0146115Z Finished test_decomp 13/13 ... [2025-12-04 09:28:19.014223][1982.514561477], took 0.20min
2025-12-04T09:28:19.0246092Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-cfbe3d5710a50198.xml
2025-12-04T09:28:19.1174209Z Running functorch/test_ac 1/1 ... [2025-12-04 09:28:19.117161][1982.617499085]
2025-12-04T09:28:19.1174701Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:28:19.1177940Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:19.117547]
2025-12-04T09:28:32.0986613Z 
2025-12-04T09:28:32.0987851Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_a0e90d5c98333171_.log
2025-12-04T09:28:32.0988955Z 
2025-12-04T09:28:32.0989427Z Finished functorch/test_ac 1/1 ... [2025-12-04 09:28:32.098455][1995.598792209], took 0.22min
2025-12-04T09:28:32.1094307Z Running test_numpy_interop 1/1 ... [2025-12-04 09:28:32.109184][1995.609522962]
2025-12-04T09:28:32.1095084Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:28:32.1100121Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numpy_interop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:32.109642]
2025-12-04T09:28:37.4310154Z 
2025-12-04T09:28:37.4311402Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_d57b3766e0dec1ea_.log
2025-12-04T09:28:37.4312692Z Running 0 items in this shard:
2025-12-04T09:28:37.4313025Z 
2025-12-04T09:28:37.4313540Z Finished test_numpy_interop 1/1 ... [2025-12-04 09:28:37.430791][2000.93112947], took 0.09min
2025-12-04T09:28:37.4414090Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numpy_interop/test_numpy_interop-a11eab829823a619.xml
2025-12-04T09:28:37.5188254Z Running profiler/test_cpp_thread 1/1 ... [2025-12-04 09:28:37.518544][2001.018883274]
2025-12-04T09:28:37.5189140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:28:37.5193665Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_cpp_thread.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:37.518982]
2025-12-04T09:28:44.4926376Z 
2025-12-04T09:28:44.4927912Z profiler/test_cpp_thread 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_cpp_thread_1.1_5568d9f71385ef2a_.log
2025-12-04T09:28:44.4929284Z Running 0 items in this shard:
2025-12-04T09:28:44.4929624Z 
2025-12-04T09:28:44.4930131Z Finished profiler/test_cpp_thread 1/1 ... [2025-12-04 09:28:44.492481][2007.992820817], took 0.12min
2025-12-04T09:28:44.5032843Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_cpp_thread/profiler.test_cpp_thread-b108dae2499f7ea8.xml
2025-12-04T09:28:44.5965433Z Running test_ops_gradients 1/1 ... [2025-12-04 09:28:44.596259][2008.096597094]
2025-12-04T09:28:44.5966600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:28:44.5971366Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:44.596753]
2025-12-04T09:28:54.4268774Z 
2025-12-04T09:28:54.4269644Z test_ops_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.1_20c554d4746512cf_.log
2025-12-04T09:28:54.4270422Z Running 0 items in this shard:
2025-12-04T09:28:54.4270611Z 
2025-12-04T09:28:54.4270895Z Finished test_ops_gradients 1/1 ... [2025-12-04 09:28:54.426740][2017.927077046], took 0.16min
2025-12-04T09:28:54.4517644Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-123a7d51ac16ff67.xml
2025-12-04T09:28:54.5438910Z Running test_hub 1/1 ... [2025-12-04 09:28:54.543675][2018.044013682]
2025-12-04T09:28:54.5439345Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:28:54.5442982Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:54.544054]
2025-12-04T09:28:59.5647776Z 
2025-12-04T09:28:59.5648560Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_0ffb4078229557c4_.log
2025-12-04T09:28:59.5649240Z Running 0 items in this shard:
2025-12-04T09:28:59.5649430Z 
2025-12-04T09:28:59.5649690Z Finished test_hub 1/1 ... [2025-12-04 09:28:59.564653][2023.064991529], took 0.08min
2025-12-04T09:28:59.5753388Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_hub/test_hub-d5e5e43a2b31abc8.xml
2025-12-04T09:28:59.6014212Z Running test_segment_reductions 1/1 ... [2025-12-04 09:28:59.601236][2023.101575686]
2025-12-04T09:28:59.6014711Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:28:59.6018542Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:59.601592]
2025-12-04T09:29:04.9228332Z 
2025-12-04T09:29:04.9229296Z test_segment_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_segment_reductions_1.1_a276f6f5359fd05b_.log
2025-12-04T09:29:04.9230125Z Running 0 items in this shard:
2025-12-04T09:29:04.9230348Z 
2025-12-04T09:29:04.9230658Z Finished test_segment_reductions 1/1 ... [2025-12-04 09:29:04.922689][2028.423026168], took 0.09min
2025-12-04T09:29:04.9337441Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_segment_reductions/test_segment_reductions-c2d6f0bef9a24944.xml
2025-12-04T09:29:04.9568454Z Running test_type_hints 1/1 ... [2025-12-04 09:29:04.956668][2028.457009143]
2025-12-04T09:29:04.9568918Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:04.9572473Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:04.957025]
2025-12-04T09:29:09.9278696Z 
2025-12-04T09:29:09.9279555Z test_type_hints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_hints_1.1_b4751febb4d98091_.log
2025-12-04T09:29:09.9280286Z Running 0 items in this shard:
2025-12-04T09:29:09.9280492Z 
2025-12-04T09:29:09.9280742Z Finished test_type_hints 1/1 ... [2025-12-04 09:29:09.927729][2033.42806793], took 0.08min
2025-12-04T09:29:09.9397513Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_hints/test_type_hints-c3fbca8c334fc2f4.xml
2025-12-04T09:29:09.9642248Z Running functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 09:29:09.964026][2033.464365065]
2025-12-04T09:29:09.9642836Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:09.9646155Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:09.964370]
2025-12-04T09:29:15.2371458Z 
2025-12-04T09:29:15.2372548Z 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_2ce3eb7b1186672d_.log
2025-12-04T09:29:15.2373551Z Running 0 items in this shard:
2025-12-04T09:29:15.2373753Z 
2025-12-04T09:29:15.2374134Z Finished functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 09:29:15.236950][2038.737288437], took 0.09min
2025-12-04T09:29:15.2624768Z 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-a526715c9a65a249.xml
2025-12-04T09:29:15.3103758Z Running test_nestedtensor 1/1 ... [2025-12-04 09:29:15.310184][2038.810523011]
2025-12-04T09:29:15.3104244Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:15.3107732Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:15.310544]
2025-12-04T09:29:23.2357633Z 
2025-12-04T09:29:23.2358532Z test_nestedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.1_2ed6d5333fed2339_.log
2025-12-04T09:29:23.2359302Z Running 0 items in this shard:
2025-12-04T09:29:23.2359506Z 
2025-12-04T09:29:23.2359778Z Finished test_nestedtensor 1/1 ... [2025-12-04 09:29:23.235561][2046.735900212], took 0.13min
2025-12-04T09:29:23.2470458Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-37b65701c65755a4.xml
2025-12-04T09:29:23.3219362Z Running distributions/test_constraints 1/1 ... [2025-12-04 09:29:23.321735][2046.822072954]
2025-12-04T09:29:23.3219919Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:23.3223284Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'distributions/test_constraints.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:23.322093]
2025-12-04T09:29:28.6934577Z 
2025-12-04T09:29:28.6935589Z distributions/test_constraints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_constraints_1.1_e9c49f813b0d7674_.log
2025-12-04T09:29:28.6936507Z Running 0 items in this shard:
2025-12-04T09:29:28.6936697Z 
2025-12-04T09:29:28.6937058Z Finished distributions/test_constraints 1/1 ... [2025-12-04 09:29:28.693298][2052.193637117], took 0.09min
2025-12-04T09:29:28.7046601Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_constraints/distributions.test_constraints-e237e8f50b6c12dd.xml
2025-12-04T09:29:28.7325502Z Running test_linalg 1/1 ... [2025-12-04 09:29:28.732380][2052.232719976]
2025-12-04T09:29:28.7325964Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:28.7329490Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:28.732726]
2025-12-04T09:29:35.6060284Z 
2025-12-04T09:29:35.6061053Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_71fcb523a0835c0f_.log
2025-12-04T09:29:35.6061752Z Running 0 items in this shard:
2025-12-04T09:29:35.6061956Z 
2025-12-04T09:29:35.6062197Z Finished test_linalg 1/1 ... [2025-12-04 09:29:35.605866][2059.106206315], took 0.11min
2025-12-04T09:29:35.6177287Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_linalg/test_linalg-0ea9ff9d4c6da09a.xml
2025-12-04T09:29:35.7111057Z Running test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:29:35.710853][2059.211190477]
2025-12-04T09:29:35.7111598Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:35.7114801Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:35.711236]
2025-12-04T09:29:41.3332447Z 
2025-12-04T09:29:41.3333478Z 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_07f09727918c17a4_.log
2025-12-04T09:29:41.3334375Z Running 0 items in this shard:
2025-12-04T09:29:41.3334576Z 
2025-12-04T09:29:41.3334934Z Finished test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:29:41.333085][2064.833424342], took 0.09min
2025-12-04T09:29:41.3448032Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization_of_rng_ops/test_functionalization_of_rng_ops-334173c69934f75d.xml
2025-12-04T09:29:41.3764256Z Running test_fx_reinplace_pass 1/1 ... [2025-12-04 09:29:41.376215][2064.876554217]
2025-12-04T09:29:41.3764727Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:41.3767904Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:41.376551]
2025-12-04T09:29:46.4511404Z 
2025-12-04T09:29:46.4512349Z 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_42b11b6e21e1a22d_.log
2025-12-04T09:29:46.4513158Z Running 0 items in this shard:
2025-12-04T09:29:46.4513363Z 
2025-12-04T09:29:46.4513647Z Finished test_fx_reinplace_pass 1/1 ... [2025-12-04 09:29:46.450919][2069.95125869], took 0.08min
2025-12-04T09:29:46.4630275Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_reinplace_pass/test_fx_reinplace_pass-d079168f43783a7d.xml
2025-12-04T09:29:46.4861319Z Running functorch/test_control_flow 1/1 ... [2025-12-04 09:29:46.485946][2069.986286287]
2025-12-04T09:29:46.4861825Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:46.4865208Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:46.486282]
2025-12-04T09:29:54.0604619Z 
2025-12-04T09:29:54.0605718Z 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_43db59e97cdb8ab4_.log
2025-12-04T09:29:54.0606828Z Running 0 items in this shard:
2025-12-04T09:29:54.0607109Z 
2025-12-04T09:29:54.0607425Z Finished functorch/test_control_flow 1/1 ... [2025-12-04 09:29:54.060286][2077.560624845], took 0.13min
2025-12-04T09:29:54.0722091Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_control_flow/functorch.test_control_flow-568fc8ee692f3a4e.xml
2025-12-04T09:29:54.1643446Z Running test_modules 1/1 ... [2025-12-04 09:29:54.164103][2077.664440889]
2025-12-04T09:29:54.1643897Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:54.1647509Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_modules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:54.164470]
2025-12-04T09:30:03.0406058Z 
2025-12-04T09:30:03.0406863Z test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_1.1_00821c958cca4939_.log
2025-12-04T09:30:03.0407690Z Running 0 items in this shard:
2025-12-04T09:30:03.0407903Z 
2025-12-04T09:30:03.0408146Z Finished test_modules 1/1 ... [2025-12-04 09:30:03.040451][2086.540789544], took 0.15min
2025-12-04T09:30:03.0654687Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_modules/test_modules-00eb55c5cf25e4e0.xml
2025-12-04T09:30:03.1459608Z Running nn/test_packed_sequence 1/1 ... [2025-12-04 09:30:03.145749][2086.646087858]
2025-12-04T09:30:03.1460109Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:03.1463442Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_packed_sequence.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:03.146103]
2025-12-04T09:30:08.1168506Z 
2025-12-04T09:30:08.1170049Z nn/test_packed_sequence 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_packed_sequence_1.1_9c914a78cc8dae15_.log
2025-12-04T09:30:08.1171372Z Running 0 items in this shard:
2025-12-04T09:30:08.1171679Z 
2025-12-04T09:30:08.1172173Z Finished nn/test_packed_sequence 1/1 ... [2025-12-04 09:30:08.116708][2091.617038716], took 0.08min
2025-12-04T09:30:08.1291551Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_packed_sequence/nn.test_packed_sequence-56c97c6e153c5afe.xml
2025-12-04T09:30:08.1533359Z Running test_numa_binding 1/1 ... [2025-12-04 09:30:08.153129][2091.653469227]
2025-12-04T09:30:08.1533844Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:08.1537025Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numa_binding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:08.153466]
2025-12-04T09:30:13.1243550Z 
2025-12-04T09:30:13.1244422Z test_numa_binding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numa_binding_1.1_338bc21374415423_.log
2025-12-04T09:30:13.1245183Z Running 0 items in this shard:
2025-12-04T09:30:13.1245399Z 
2025-12-04T09:30:13.1245662Z Finished test_numa_binding 1/1 ... [2025-12-04 09:30:13.124202][2096.624538122], took 0.08min
2025-12-04T09:30:13.1366821Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numa_binding/test_numa_binding-b53ce30700bb56b0.xml
2025-12-04T09:30:13.1619447Z Running test_pruning_op 1/1 ... [2025-12-04 09:30:13.161740][2096.66208045]
2025-12-04T09:30:13.1619899Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:13.1623016Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_pruning_op.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:13.162066]
2025-12-04T09:30:18.3334012Z 
2025-12-04T09:30:18.3334851Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_2b34907ef97442a5_.log
2025-12-04T09:30:18.3335603Z Running 0 items in this shard:
2025-12-04T09:30:18.3335812Z 
2025-12-04T09:30:18.3336066Z Finished test_pruning_op 1/1 ... [2025-12-04 09:30:18.333202][2101.833541335], took 0.09min
2025-12-04T09:30:18.3458064Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_pruning_op/test_pruning_op-ffdfcb18e77fea33.xml
2025-12-04T09:30:18.3724793Z Running test_logging 1/1 ... [2025-12-04 09:30:18.372165][2101.872501604]
2025-12-04T09:30:18.3725264Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:18.3728188Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_logging.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:18.372566]
2025-12-04T09:30:23.7948545Z 
2025-12-04T09:30:23.7949468Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_6fcff3b9c9ae4aa7_.log
2025-12-04T09:30:23.7950200Z Running 0 items in this shard:
2025-12-04T09:30:23.7950404Z 
2025-12-04T09:30:23.7950650Z Finished test_logging 1/1 ... [2025-12-04 09:30:23.794679][2107.295018958], took 0.09min
2025-12-04T09:30:23.8126430Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_logging/test_logging-635bca6c2f635ad2.xml
2025-12-04T09:30:23.8350155Z Running nn/test_lazy_modules 1/1 ... [2025-12-04 09:30:23.834771][2107.335108088]
2025-12-04T09:30:23.8350649Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:23.8353940Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_lazy_modules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:23.835153]
2025-12-04T09:30:29.7079895Z 
2025-12-04T09:30:29.7080789Z nn/test_lazy_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_lazy_modules_1.1_91a695dcb8151117_.log
2025-12-04T09:30:29.7081580Z Running 0 items in this shard:
2025-12-04T09:30:29.7081770Z 
2025-12-04T09:30:29.7082080Z Finished nn/test_lazy_modules 1/1 ... [2025-12-04 09:30:29.707816][2113.208156278], took 0.10min
2025-12-04T09:30:29.7207693Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_lazy_modules/nn.test_lazy_modules-96dec39b124b093e.xml
2025-12-04T09:30:29.7464666Z Running nn/test_pruning 1/1 ... [2025-12-04 09:30:29.746290][2113.246629452]
2025-12-04T09:30:29.7465128Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:29.7468955Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_pruning.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:29.746658]
2025-12-04T09:30:35.1685212Z 
2025-12-04T09:30:35.1686050Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_834b1587bc83d966_.log
2025-12-04T09:30:35.1686797Z Running 0 items in this shard:
2025-12-04T09:30:35.1687042Z 
2025-12-04T09:30:35.1687332Z Finished nn/test_pruning 1/1 ... [2025-12-04 09:30:35.168344][2118.668682612], took 0.09min
2025-12-04T09:30:35.1814195Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pruning/nn.test_pruning-4adc49390d8e789e.xml
2025-12-04T09:30:35.2032813Z Running test_monitor 1/1 ... [2025-12-04 09:30:35.203103][2118.703442793]
2025-12-04T09:30:35.2033275Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:35.2036791Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_monitor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:35.203447]
2025-12-04T09:30:40.4750916Z 
2025-12-04T09:30:40.4751746Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_83d8f8c2c0a50d90_.log
2025-12-04T09:30:40.4752716Z Running 0 items in this shard:
2025-12-04T09:30:40.4752924Z 
2025-12-04T09:30:40.4753171Z Finished test_monitor 1/1 ... [2025-12-04 09:30:40.474908][2123.975245316], took 0.09min
2025-12-04T09:30:40.4881211Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_monitor/test_monitor-8a93f75cb88d186e.xml
2025-12-04T09:30:40.5116146Z Running test_bundled_inputs 1/1 ... [2025-12-04 09:30:40.511380][2124.011716456]
2025-12-04T09:30:40.5116632Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:40.5120131Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_bundled_inputs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:40.511776]
2025-12-04T09:30:46.0343922Z 
2025-12-04T09:30:46.0344824Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_8b31cdb87261685d_.log
2025-12-04T09:30:46.0345597Z Running 0 items in this shard:
2025-12-04T09:30:46.0345801Z 
2025-12-04T09:30:46.0346094Z Finished test_bundled_inputs 1/1 ... [2025-12-04 09:30:46.034198][2129.534536821], took 0.09min
2025-12-04T09:30:46.0518302Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_bundled_inputs/test_bundled_inputs-9317e97c0666fa53.xml
2025-12-04T09:30:46.0855458Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 09:30:46.085241][2129.585577497]
2025-12-04T09:30:46.0856018Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:46.0859602Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:46.085647]
2025-12-04T09:30:51.6076646Z 
2025-12-04T09:30:51.6077844Z torch_np/numpy_tests/core/test_numeric 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_7d25dc1454c99c15_.log
2025-12-04T09:30:51.6078896Z Running 0 items in this shard:
2025-12-04T09:30:51.6079087Z 
2025-12-04T09:30:51.6079507Z Finished torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 09:30:51.607502][2135.107839646], took 0.09min
2025-12-04T09:30:51.6212164Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numeric/torch_np.numpy_tests.core.test_numeric-7aea596ed41240b4.xml
2025-12-04T09:30:51.6475316Z Running torch_np/numpy_tests/core/test_multiarray 1/2 ... [2025-12-04 09:30:51.647358][2135.147696922]
2025-12-04T09:30:51.6475967Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:51.6479500Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_multiarray.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:51.647707]
2025-12-04T09:30:57.5201696Z 
2025-12-04T09:30:57.5202770Z torch_np/numpy_tests/core/test_multiarray 1/2 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_multiarray_1.2_02d2132c6e8c4419_.log
2025-12-04T09:30:57.5203760Z Running 0 items in this shard:
2025-12-04T09:30:57.5203959Z 
2025-12-04T09:30:57.5204354Z Finished torch_np/numpy_tests/core/test_multiarray 1/2 ... [2025-12-04 09:30:57.520043][2141.020380944], took 0.10min
2025-12-04T09:30:57.5335944Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_multiarray/torch_np.numpy_tests.core.test_multiarray-33fc706b48dba2e9.xml
2025-12-04T09:30:57.5568125Z Running optim/test_lrscheduler 1/1 ... [2025-12-04 09:30:57.556610][2141.056949376]
2025-12-04T09:30:57.5568649Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:57.5572092Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_lrscheduler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:57.556990]
2025-12-04T09:31:02.4779629Z 
2025-12-04T09:31:02.4780562Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_6e8ef91abbe01d97_.log
2025-12-04T09:31:02.4781265Z 
2025-12-04T09:31:02.4781568Z Finished optim/test_lrscheduler 1/1 ... [2025-12-04 09:31:02.477780][2145.978118677], took 0.08min
2025-12-04T09:31:02.4919037Z Running test_scaled_matmul_cuda 1/1 ... [2025-12-04 09:31:02.491749][2145.99208785]
2025-12-04T09:31:02.4919554Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:02.4923281Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_scaled_matmul_cuda.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:02.492118]
2025-12-04T09:31:08.0642065Z 
2025-12-04T09:31:08.0643570Z test_scaled_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_scaled_matmul_cuda_1.1_8527b8d7ea2792ba_.log
2025-12-04T09:31:08.0644917Z Running 0 items in this shard:
2025-12-04T09:31:08.0645254Z 
2025-12-04T09:31:08.0645723Z Finished test_scaled_matmul_cuda 1/1 ... [2025-12-04 09:31:08.064025][2151.56436451], took 0.09min
2025-12-04T09:31:08.0882434Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_scaled_matmul_cuda/test_scaled_matmul_cuda-8c0174488c4c4fc2.xml
2025-12-04T09:31:08.1772403Z Running functorch/test_aotdispatch 4/4 ... [2025-12-04 09:31:08.176898][2151.677234992]
2025-12-04T09:31:08.1773237Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:08.1777502Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:08.177374]
2025-12-04T09:31:18.5577179Z 
2025-12-04T09:31:18.5578635Z functorch/test_aotdispatch 4/4 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_4.4_11f4ec876a3003ab_.log
2025-12-04T09:31:18.5580058Z Running 0 items in this shard:
2025-12-04T09:31:18.5580364Z 
2025-12-04T09:31:18.5580913Z Finished functorch/test_aotdispatch 4/4 ... [2025-12-04 09:31:18.557520][2162.057859648], took 0.17min
2025-12-04T09:31:18.5718874Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-f48095fe73efb5f3.xml
2025-12-04T09:31:18.6589484Z Running torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 09:31:18.658668][2162.159004448]
2025-12-04T09:31:18.6590047Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:18.6593568Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:18.659095]
2025-12-04T09:31:24.5325434Z 
2025-12-04T09:31:24.5326491Z 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_c77d1c24517d4648_.log
2025-12-04T09:31:24.5327770Z Running 0 items in this shard:
2025-12-04T09:31:24.5327970Z 
2025-12-04T09:31:24.5328332Z Finished torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 09:31:24.532385][2168.032724263], took 0.10min
2025-12-04T09:31:24.5465911Z 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-7a6507c1a8f1e6a1.xml
2025-12-04T09:31:24.5770044Z Running test_scatter_gather_ops 1/1 ... [2025-12-04 09:31:24.576731][2168.077066819]
2025-12-04T09:31:24.5770565Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:24.5774198Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:24.577177]
2025-12-04T09:31:30.7509050Z 
2025-12-04T09:31:30.7510178Z 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_c5c62b68c69433b1_.log
2025-12-04T09:31:30.7511069Z Running 0 items in this shard:
2025-12-04T09:31:30.7511264Z 
2025-12-04T09:31:30.7511564Z Finished test_scatter_gather_ops 1/1 ... [2025-12-04 09:31:30.750742][2174.251078749], took 0.10min
2025-12-04T09:31:30.7752308Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_scatter_gather_ops/test_scatter_gather_ops-b565d9a9d060b49a.xml
2025-12-04T09:31:30.8543482Z Running test_mkldnn 1/1 ... [2025-12-04 09:31:30.854066][2174.354402042]
2025-12-04T09:31:30.8543945Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:30.8547143Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mkldnn.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:30.854469]
2025-12-04T09:31:37.1280840Z 
2025-12-04T09:31:37.1281664Z test_mkldnn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_1.1_f95338f2f07f01ef_.log
2025-12-04T09:31:37.1282415Z Running 0 items in this shard:
2025-12-04T09:31:37.1282618Z 
2025-12-04T09:31:37.1282854Z Finished test_mkldnn 1/1 ... [2025-12-04 09:31:37.127931][2180.628268772], took 0.10min
2025-12-04T09:31:37.1423804Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mkldnn/test_mkldnn-3c5b9d9392cacdc3.xml
2025-12-04T09:31:37.2481524Z Running functorch/test_vmap 1/1 ... [2025-12-04 09:31:37.247862][2180.748200425]
2025-12-04T09:31:37.2482038Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:37.2485263Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:37.248265]
2025-12-04T09:31:45.5737190Z 
2025-12-04T09:31:45.5738073Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_fa03cfdcefd1bf9f_.log
2025-12-04T09:31:45.5738883Z Running 0 items in this shard:
2025-12-04T09:31:45.5739071Z 
2025-12-04T09:31:45.5739369Z Finished functorch/test_vmap 1/1 ... [2025-12-04 09:31:45.573593][2189.073932202], took 0.14min
2025-12-04T09:31:45.5879477Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap/functorch.test_vmap-6b19cf36f979d564.xml
2025-12-04T09:31:45.7075740Z Running torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-12-04 09:31:45.707311][2189.207648685]
2025-12-04T09:31:45.7076322Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:45.7079567Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:45.707683]
2025-12-04T09:31:50.8288911Z 
2025-12-04T09:31:50.8290057Z 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_c29393e91cce14da_.log
2025-12-04T09:31:50.8291149Z Running 0 items in this shard:
2025-12-04T09:31:50.8291339Z 
2025-12-04T09:31:50.8291734Z Finished torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-12-04 09:31:50.828764][2194.329102126], took 0.09min
2025-12-04T09:31:50.8431218Z 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-63dfb887c594170e.xml
2025-12-04T09:31:50.8854721Z Running test_jit_autocast 1/1 ... [2025-12-04 09:31:50.885267][2194.385606885]
2025-12-04T09:31:50.8855203Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:50.8858430Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:50.885608]
2025-12-04T09:31:58.1597643Z 
2025-12-04T09:31:58.1598561Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_883fd4b2353b7779_.log
2025-12-04T09:31:58.1599325Z Running 0 items in this shard:
2025-12-04T09:31:58.1599514Z 
2025-12-04T09:31:58.1599806Z Finished test_jit_autocast 1/1 ... [2025-12-04 09:31:58.159623][2201.659961947], took 0.12min
2025-12-04T09:31:58.1743109Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_autocast/test_jit_autocast-eba580dd66072d0d.xml
2025-12-04T09:31:58.2738848Z Running nn/test_embedding 1/1 ... [2025-12-04 09:31:58.273684][2201.774022895]
2025-12-04T09:31:58.2739345Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:58.2742966Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:58.274053]
2025-12-04T09:32:03.7957399Z 
2025-12-04T09:32:03.7958281Z nn/test_embedding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_embedding_1.1_9cfc92f23be15ab9_.log
2025-12-04T09:32:03.7959041Z Running 0 items in this shard:
2025-12-04T09:32:03.7959244Z 
2025-12-04T09:32:03.7959545Z Finished nn/test_embedding 1/1 ... [2025-12-04 09:32:03.795596][2207.295935114], took 0.09min
2025-12-04T09:32:03.8250012Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_embedding/nn.test_embedding-003798916fd80591.xml
2025-12-04T09:32:03.8487370Z Running test_unary_ufuncs 1/1 ... [2025-12-04 09:32:03.848545][2207.34888476]
2025-12-04T09:32:03.8487832Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:03.8491392Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:03.848902]
2025-12-04T09:32:25.3934554Z 
2025-12-04T09:32:25.3935444Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_df7c90d824764c1a_.log
2025-12-04T09:32:25.3936506Z Running 0 items in this shard:
2025-12-04T09:32:25.3936723Z 
2025-12-04T09:32:25.3936993Z Finished test_unary_ufuncs 1/1 ... [2025-12-04 09:32:25.393259][2228.893597821], took 0.36min
2025-12-04T09:32:25.4086533Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-c3af050218010e98.xml
2025-12-04T09:32:25.4935219Z Running test_xnnpack_integration 1/2 ... [2025-12-04 09:32:25.493263][2228.993601367]
2025-12-04T09:32:25.4935733Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:25.4939179Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:25.493653]
2025-12-04T09:32:30.5146417Z 
2025-12-04T09:32:30.5147435Z test_xnnpack_integration 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.2_da00a7fa549f8cf2_.log
2025-12-04T09:32:30.5148370Z Running 0 items in this shard:
2025-12-04T09:32:30.5148594Z 
2025-12-04T09:32:30.5148901Z Finished test_xnnpack_integration 1/2 ... [2025-12-04 09:32:30.514493][2234.01483272], took 0.08min
2025-12-04T09:32:30.5303891Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_xnnpack_integration/test_xnnpack_integration-3e0cef05e8de4ebe.xml
2025-12-04T09:32:30.5543593Z Running test_accelerator 1/1 ... [2025-12-04 09:32:30.554185][2234.054524189]
2025-12-04T09:32:30.5544116Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:30.5548032Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:30.554548]
2025-12-04T09:32:35.5756551Z 
2025-12-04T09:32:35.5757437Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_da7d24b81b65422b_.log
2025-12-04T09:32:35.5758117Z 
2025-12-04T09:32:35.5758383Z Finished test_accelerator 1/1 ... [2025-12-04 09:32:35.575474][2239.075813192], took 0.08min
2025-12-04T09:32:40.4765112Z Running inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:32:40.476163][2243.976498333]
2025-12-04T09:32:40.4765708Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:40.4769208Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:40.476651]
2025-12-04T09:32:40.4778645Z Running test_jit_fuser_te 9/14 ... [2025-12-04 09:32:40.477698][2243.978034187]
2025-12-04T09:32:40.4779195Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:40.4784064Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_fuser_te.py', '-m', 'not serial', '--shard-id=9', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:40.478166]
2025-12-04T09:32:40.4888963Z Running inductor/test_torchinductor 2/2 ... [2025-12-04 09:32:40.488658][2243.988994598]
2025-12-04T09:32:40.4889495Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:40.4893578Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:40.489123]
2025-12-04T09:32:44.2467445Z 
2025-12-04T09:32:44.2468585Z 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_cc040e09956e6e7c_.log
2025-12-04T09:32:44.2469455Z 
2025-12-04T09:32:44.2469833Z Finished inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:32:44.246646][2247.746984111], took 0.06min
2025-12-04T09:32:50.4799182Z Running inductor/test_torchinductor_dynamic_shapes 1/1 ... [2025-12-04 09:32:50.479489][2253.979823946]
2025-12-04T09:32:50.4799828Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:50.4803159Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:50.480033]
2025-12-04T09:32:52.9630314Z 
2025-12-04T09:32:52.9631689Z test_jit_fuser_te 9/14 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_fuser_te_9.14_71507e28f2a89a61_.log
2025-12-04T09:32:52.9632513Z Running 0 items in this shard:
2025-12-04T09:32:52.9632731Z 
2025-12-04T09:32:52.9633127Z Finished test_jit_fuser_te 9/14 ... [2025-12-04 09:32:52.962989][2256.463325142], took 0.21min
2025-12-04T09:32:52.9729166Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_fuser_te/test_jit_fuser_te-c183b0034532dc96.xml
2025-12-04T09:32:56.8289163Z 
2025-12-04T09:32:56.8290598Z inductor/test_torchinductor 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_2.2_7d34a70d5cb10205_.log
2025-12-04T09:32:56.8310285Z Running 30 items in this shard: test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remove_noop_view_dtype_cpu
2025-12-04T09:32:56.8330679Z 
2025-12-04T09:32:56.8331358Z Finished inductor/test_torchinductor 2/2 ... [2025-12-04 09:32:56.828910][2260.329245933], took 0.27min
2025-12-04T09:32:56.8509613Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor/inductor.test_torchinductor-ee2ee41f6d953313.xml
2025-12-04T09:32:58.8512054Z Running inductor/test_torchinductor_codegen_dynamic_shapes 1/2 ... [2025-12-04 09:32:58.850795][2262.351130605]
2025-12-04T09:32:58.8512700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:58.8516562Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:58.851343]
2025-12-04T09:33:02.8241914Z Running inductor/test_torchinductor_codegen_dynamic_shapes 2/2 ... [2025-12-04 09:33:02.823819][2266.324155421]
2025-12-04T09:33:02.8242587Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:02.8246130Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:02.824331]
2025-12-04T09:33:05.5669998Z 
2025-12-04T09:33:05.5671106Z inductor/test_torchinductor_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_1.1_bc542b3efd2a473d_.log
2025-12-04T09:33:05.5672028Z 
2025-12-04T09:33:05.5672457Z Finished inductor/test_torchinductor_dynamic_shapes 1/1 ... [2025-12-04 09:33:05.566759][2269.067098287], took 0.25min
2025-12-04T09:33:11.4065834Z Running dynamo/test_dynamic_shapes 2/2 ... [2025-12-04 09:33:11.406212][2274.906548101]
2025-12-04T09:33:11.4066409Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:11.4069790Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_dynamic_shapes.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:11.406734]
2025-12-04T09:33:14.4408943Z 
2025-12-04T09:33:14.4410332Z inductor/test_torchinductor_codegen_dynamic_shapes 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_1.2_22085b4b1b1c7beb_.log
2025-12-04T09:33:14.4411410Z Running 0 items in this shard:
2025-12-04T09:33:14.4411614Z 
2025-12-04T09:33:14.4412068Z Finished inductor/test_torchinductor_codegen_dynamic_shapes 1/2 ... [2025-12-04 09:33:14.440863][2277.941200365], took 0.26min
2025-12-04T09:33:14.4572982Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-7660c5b2a0866e50.xml
2025-12-04T09:33:18.1128630Z 
2025-12-04T09:33:18.1130765Z inductor/test_torchinductor_codegen_dynamic_shapes 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_2.2_c585610194dac0b7_.log
2025-12-04T09:33:18.1132769Z Running 0 items in this shard:
2025-12-04T09:33:18.1133113Z 
2025-12-04T09:33:18.1133878Z Finished inductor/test_torchinductor_codegen_dynamic_shapes 2/2 ... [2025-12-04 09:33:18.112809][2281.613148088], took 0.25min
2025-12-04T09:33:18.1362170Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-8f2a298f211527dc.xml
2025-12-04T09:33:20.2488457Z Running inductor/test_cuda_repro 1/1 ... [2025-12-04 09:33:20.248449][2283.748783546]
2025-12-04T09:33:20.2489042Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:20.2493157Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cuda_repro.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:20.249012]
2025-12-04T09:33:24.0446357Z Running inductor/test_minifier 1/1 ... [2025-12-04 09:33:24.044268][2287.544604823]
2025-12-04T09:33:24.0446882Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:24.0450421Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_minifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:24.044774]
2025-12-04T09:33:28.2958626Z 
2025-12-04T09:33:28.2959697Z dynamo/test_dynamic_shapes 2/2 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dynamic_shapes_2.2_5bce7c7e8c241b5e_.log
2025-12-04T09:33:28.2960684Z Running 0 items in this shard:
2025-12-04T09:33:28.2960875Z 
2025-12-04T09:33:28.2961257Z Finished dynamo/test_dynamic_shapes 2/2 ... [2025-12-04 09:33:28.295844][2291.796183803], took 0.28min
2025-12-04T09:33:28.3063969Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-a62c3251abb3a6a8.xml
2025-12-04T09:33:34.1415801Z Running inductor/test_custom_lowering 1/1 ... [2025-12-04 09:33:34.141211][2297.641546664]
2025-12-04T09:33:34.1416372Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:34.1419832Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_custom_lowering.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:34.141726]
2025-12-04T09:33:34.4359030Z 
2025-12-04T09:33:34.4359943Z inductor/test_cuda_repro 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_repro_1.1_77ed14ef96f1a97c_.log
2025-12-04T09:33:34.4360660Z 
2025-12-04T09:33:34.4360997Z Finished inductor/test_cuda_repro 1/1 ... [2025-12-04 09:33:34.435691][2297.936030299], took 0.24min
2025-12-04T09:33:38.2813483Z 
2025-12-04T09:33:38.2814626Z inductor/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_1.1_592614eba5d6d6c3_.log
2025-12-04T09:33:38.2815346Z 
2025-12-04T09:33:38.2815694Z Finished inductor/test_minifier 1/1 ... [2025-12-04 09:33:38.281105][2301.781441186], took 0.24min
2025-12-04T09:33:40.2909607Z Running inductor/test_fused_attention 1/1 ... [2025-12-04 09:33:40.290622][2303.790956413]
2025-12-04T09:33:40.2910465Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:40.2914059Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fused_attention.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:40.291136]
2025-12-04T09:33:44.1895989Z Running dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 09:33:44.189154][2307.689489102]
2025-12-04T09:33:44.1896749Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:44.1900361Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_activation_checkpointing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:44.189690]
2025-12-04T09:33:48.7773139Z 
2025-12-04T09:33:48.7774856Z inductor/test_custom_lowering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_lowering_1.1_edfa3b78edd42c87_.log
2025-12-04T09:33:48.7776222Z Running 0 items in this shard:
2025-12-04T09:33:48.7776505Z 
2025-12-04T09:33:48.7777047Z Finished inductor/test_custom_lowering 1/1 ... [2025-12-04 09:33:48.777245][2312.277584121], took 0.24min
2025-12-04T09:33:48.7881468Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_custom_lowering/inductor.test_custom_lowering-2fb4c07f46609265.xml
2025-12-04T09:33:54.6225670Z Running inductor/test_binary_folding 1/1 ... [2025-12-04 09:33:54.622202][2318.122538109]
2025-12-04T09:33:54.6226266Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:54.6229477Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_binary_folding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:54.622682]
2025-12-04T09:33:54.8771772Z 
2025-12-04T09:33:54.8772839Z inductor/test_fused_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fused_attention_1.1_8c84038db2b43250_.log
2025-12-04T09:33:54.8773785Z Running 0 items in this shard:
2025-12-04T09:33:54.8773975Z 
2025-12-04T09:33:54.8774319Z Finished inductor/test_fused_attention 1/1 ... [2025-12-04 09:33:54.877157][2318.377493437], took 0.24min
2025-12-04T09:33:54.8881923Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fused_attention/inductor.test_fused_attention-93c8354e35bf63d7.xml
2025-12-04T09:33:58.7758408Z 
2025-12-04T09:33:58.7759458Z dynamo/test_activation_checkpointing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_activation_checkpointing_1.1_80347c4b4794acf0_.log
2025-12-04T09:33:58.7760465Z Running 0 items in this shard:
2025-12-04T09:33:58.7760656Z 
2025-12-04T09:33:58.7761038Z Finished dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 09:33:58.775805][2322.276145053], took 0.24min
2025-12-04T09:33:58.7873210Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_activation_checkpointing/dynamo.test_activation_checkpointing-fd94d2d37f855928.xml
2025-12-04T09:34:00.7016057Z Running inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 09:34:00.701236][2324.201571425]
2025-12-04T09:34:00.7016654Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:00.7020842Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:00.701797]
2025-12-04T09:34:04.7442097Z Running inductor/test_layout_optim 1/1 ... [2025-12-04 09:34:04.743858][2328.244195053]
2025-12-04T09:34:04.7442654Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:04.7446353Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_layout_optim.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:04.744392]
2025-12-04T09:34:09.6108648Z 
2025-12-04T09:34:09.6110174Z inductor/test_binary_folding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_binary_folding_1.1_db2ac3d553fa5905_.log
2025-12-04T09:34:09.6111095Z Running 0 items in this shard:
2025-12-04T09:34:09.6111283Z 
2025-12-04T09:34:09.6111625Z Finished inductor/test_binary_folding 1/1 ... [2025-12-04 09:34:09.610757][2333.11109384], took 0.25min
2025-12-04T09:34:09.6222088Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_binary_folding/inductor.test_binary_folding-0fdafeafda104a07.xml
2025-12-04T09:34:15.3962316Z Running inductor/test_cpu_cpp_wrapper 3/6 ... [2025-12-04 09:34:15.395857][2338.896193891]
2025-12-04T09:34:15.3962901Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:15.3966547Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'not serial', '--shard-id=3', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:15.396376]
2025-12-04T09:34:15.6889544Z 
2025-12-04T09:34:15.6890811Z inductor/test_mkldnn_pattern_matcher 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.2_973d90e565235872_.log
2025-12-04T09:34:15.6900179Z Running 15 items in this shard: test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True
2025-12-04T09:34:15.6908927Z 
2025-12-04T09:34:15.6909299Z Finished inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 09:34:15.689003][2339.189341361], took 0.25min
2025-12-04T09:34:15.7005850Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-5c5237ec00cbb4ba.xml
2025-12-04T09:34:19.1307536Z 
2025-12-04T09:34:19.1308863Z inductor/test_layout_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_layout_optim_1.1_2cc61b944ceff5b8_.log
2025-12-04T09:34:19.1309609Z 
2025-12-04T09:34:19.1309938Z Finished inductor/test_layout_optim 1/1 ... [2025-12-04 09:34:19.130511][2342.630849086], took 0.24min
2025-12-04T09:34:21.6539870Z Running inductor/test_cpu_cpp_wrapper 5/6 ... [2025-12-04 09:34:21.653561][2345.153897707]
2025-12-04T09:34:21.6540429Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:21.6543254Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'not serial', '--shard-id=5', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:21.654037]
2025-12-04T09:34:25.0284702Z Running inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 09:34:25.028053][2348.528387684]
2025-12-04T09:34:25.0285340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:25.0289037Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_strided_blocks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:25.028571]
2025-12-04T09:34:31.0330365Z 
2025-12-04T09:34:31.0331878Z inductor/test_cpu_cpp_wrapper 3/6 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_3.6_33fefad5128d5e9c_.log
2025-12-04T09:34:31.0333308Z Running 0 items in this shard:
2025-12-04T09:34:31.0333685Z 
2025-12-04T09:34:31.0334016Z Finished inductor/test_cpu_cpp_wrapper 3/6 ... [2025-12-04 09:34:31.032972][2354.533310473], took 0.26min
2025-12-04T09:34:31.0451605Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_cpp_wrapper/inductor.test_cpu_cpp_wrapper-bf4efb7e91f96080.xml
2025-12-04T09:34:36.9289696Z Running test_custom_ops 1/1 ... [2025-12-04 09:34:36.928565][2360.428899168]
2025-12-04T09:34:36.9298237Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:36.9299601Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_custom_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:36.929082]
2025-12-04T09:34:37.3420769Z 
2025-12-04T09:34:37.3421663Z inductor/test_cpu_cpp_wrapper 5/6 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_5.6_fd4f796380d36c1d_.log
2025-12-04T09:34:37.3428729Z Running 15 items in this shard: test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_conv2d_unary_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_conv2d_unary_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_conv2d_unary_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_conv2d_unary_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_conv2d_unary_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_conv2d_unary_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_conv2d_unary_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_conv2d_unary_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_conv2d_unary_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_conv2d_unary_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_conv2d_unary_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_conv2d_unary_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_conv2d_unary_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_conv2d_unary_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_conv2d_unary_cpu_cpp_wrapper
2025-12-04T09:34:37.3435514Z 
2025-12-04T09:34:37.3436017Z Finished inductor/test_cpu_cpp_wrapper 5/6 ... [2025-12-04 09:34:37.342094][2360.842433283], took 0.26min
2025-12-04T09:34:37.3647681Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_cpp_wrapper/inductor.test_cpu_cpp_wrapper-5fe478658654317f.xml
2025-12-04T09:34:40.0661080Z 
2025-12-04T09:34:40.0662173Z inductor/test_torchinductor_strided_blocks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_strided_blocks_1.1_3d7abafc49036446_.log
2025-12-04T09:34:40.0663077Z 
2025-12-04T09:34:40.0663473Z Finished inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 09:34:40.065874][2363.566213853], took 0.25min
2025-12-04T09:34:43.2417444Z Running test_content_store 1/1 ... [2025-12-04 09:34:43.241349][2366.741685624]
2025-12-04T09:34:43.2418376Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:43.2422121Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_content_store.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:43.241846]
2025-12-04T09:34:44.1542299Z 
2025-12-04T09:34:44.1543626Z test_custom_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_custom_ops_1.1_3c84ac9936d0d9ef_.log
2025-12-04T09:34:44.1551028Z Running 15 items in this shard: test/test_custom_ops.py::TestCustomOp::test_defined_in_python, test/test_custom_ops.py::TestCustomOp::test_defined_in_python, test/test_custom_ops.py::TestCustomOp::test_defined_in_python, test/test_custom_ops.py::TestCustomOp::test_defined_in_python, test/test_custom_ops.py::TestCustomOp::test_defined_in_python, test/test_custom_ops.py::TestCustomOp::test_defined_in_python, test/test_custom_ops.py::TestCustomOp::test_defined_in_python, test/test_custom_ops.py::TestCustomOp::test_defined_in_python, test/test_custom_ops.py::TestCustomOp::test_defined_in_python, test/test_custom_ops.py::TestCustomOp::test_defined_in_python, test/test_custom_ops.py::TestCustomOp::test_defined_in_python, test/test_custom_ops.py::TestCustomOp::test_defined_in_python, test/test_custom_ops.py::TestCustomOp::test_defined_in_python, test/test_custom_ops.py::TestCustomOp::test_defined_in_python, test/test_custom_ops.py::TestCustomOp::test_defined_in_python
2025-12-04T09:34:44.1557873Z 
2025-12-04T09:34:44.1558381Z Finished test_custom_ops 1/1 ... [2025-12-04 09:34:44.154220][2367.654554167], took 0.12min
2025-12-04T09:34:44.1667296Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_custom_ops/test_custom_ops-5c26390475d65263.xml
2025-12-04T09:34:45.9655329Z Running inductor/test_compile_subprocess 1/2 ... [2025-12-04 09:34:45.965154][2369.465490294]
2025-12-04T09:34:45.9655918Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:45.9659696Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile_subprocess.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:45.965678]
2025-12-04T09:34:48.9640609Z 
2025-12-04T09:34:48.9642002Z test_content_store 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_content_store_1.1_feaef1090bbc8ca4_.log
2025-12-04T09:34:48.9642784Z Running 0 items in this shard:
2025-12-04T09:34:48.9642989Z 
2025-12-04T09:34:48.9643260Z Finished test_content_store 1/1 ... [2025-12-04 09:34:48.964015][2372.464352463], took 0.10min
2025-12-04T09:34:48.9765083Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_content_store/test_content_store-af29b1a8c21b4785.xml
2025-12-04T09:34:49.9075812Z Running inductor/test_compile_subprocess 2/2 ... [2025-12-04 09:34:49.907187][2373.407522453]
2025-12-04T09:34:49.9076397Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:49.9080093Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile_subprocess.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:49.907688]
2025-12-04T09:34:54.6855791Z Running inductor/test_multi_kernel 1/1 ... [2025-12-04 09:34:54.685189][2378.185524903]
2025-12-04T09:34:54.6856344Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:54.6859421Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_multi_kernel.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:54.685675]
2025-12-04T09:35:01.3527715Z 
2025-12-04T09:35:01.3529423Z inductor/test_compile_subprocess 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_1.2_d949786fa91b29fd_.log
2025-12-04T09:35:01.3570952Z Running 60 items in this shard: test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_scatter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_default_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_scatter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_scatter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_scatter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_scatter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_scatter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_scatter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_scatter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_scatter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_scatter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_scatter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_scatter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_scatter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_scatter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_scatter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_default_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_default_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_default_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_default_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_default_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_default_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_default_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_default_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_default_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_default_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_default_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_default_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_default_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_default_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_dtype_cpu
2025-12-04T09:35:01.3611707Z 
2025-12-04T09:35:01.3612376Z Finished inductor/test_compile_subprocess 1/2 ... [2025-12-04 09:35:01.352862][2384.853200783], took 0.26min
2025-12-04T09:35:01.3659438Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-b34fdcb1c3f23026.xml
2025-12-04T09:35:05.1966430Z 
2025-12-04T09:35:05.1967672Z inductor/test_compile_subprocess 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_2.2_5aeed3cce663dcb1_.log
2025-12-04T09:35:05.1979900Z Running 30 items in this shard: test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_cpu
2025-12-04T09:35:05.1991439Z 
2025-12-04T09:35:05.1991811Z Finished inductor/test_compile_subprocess 2/2 ... [2025-12-04 09:35:05.196713][2388.69704969], took 0.25min
2025-12-04T09:35:05.2355710Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-f96bbcca8ee4051e.xml
2025-12-04T09:35:07.1525207Z Running inductor/test_subgraph_choice 1/1 ... [2025-12-04 09:35:07.152101][2390.652437397]
2025-12-04T09:35:07.1525787Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:07.1528812Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_subgraph_choice.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:07.152587]
2025-12-04T09:35:08.9214832Z 
2025-12-04T09:35:08.9215905Z inductor/test_multi_kernel 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_multi_kernel_1.1_ada32a49b2c2e7cc_.log
2025-12-04T09:35:08.9216693Z 
2025-12-04T09:35:08.9217016Z Finished inductor/test_multi_kernel 1/1 ... [2025-12-04 09:35:08.921276][2392.421611348], took 0.24min
2025-12-04T09:35:11.1818570Z Running inductor/test_ck_backend 1/1 ... [2025-12-04 09:35:11.181508][2394.681843757]
2025-12-04T09:35:11.1819120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:11.1823034Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_ck_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:11.181999]
2025-12-04T09:35:14.8976132Z Running inductor/test_autoheuristic 1/1 ... [2025-12-04 09:35:14.897237][2398.397573045]
2025-12-04T09:35:14.8976676Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:14.8979970Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_autoheuristic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:14.897733]
2025-12-04T09:35:21.6905552Z 
2025-12-04T09:35:21.6906539Z inductor/test_subgraph_choice 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_subgraph_choice_1.1_a11c016917aeb641_.log
2025-12-04T09:35:21.6907326Z 
2025-12-04T09:35:21.6907658Z Finished inductor/test_subgraph_choice 1/1 ... [2025-12-04 09:35:21.690285][2405.190623458], took 0.24min
2025-12-04T09:35:25.8192347Z 
2025-12-04T09:35:25.8193756Z inductor/test_ck_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_ck_backend_1.1_da731e79bc542ab7_.log
2025-12-04T09:35:25.8194497Z 
2025-12-04T09:35:25.8194819Z Finished inductor/test_ck_backend 1/1 ... [2025-12-04 09:35:25.818998][2409.319337303], took 0.24min
2025-12-04T09:35:27.7565139Z Running inductor/test_native_matmul 1/1 ... [2025-12-04 09:35:27.756133][2411.256466558]
2025-12-04T09:35:27.7565692Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:27.7569082Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_native_matmul.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:27.756629]
2025-12-04T09:35:29.5838481Z 
2025-12-04T09:35:29.5840093Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_19e3efbcc3030575_.log
2025-12-04T09:35:29.5841539Z 
2025-12-04T09:35:29.5842169Z Finished inductor/test_autoheuristic 1/1 ... [2025-12-04 09:35:29.583620][2413.083957736], took 0.24min
2025-12-04T09:35:31.6167809Z Running inductor/test_selective_lowering 1/1 ... [2025-12-04 09:35:31.616388][2415.116724874]
2025-12-04T09:35:31.6168388Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:31.6171754Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_selective_lowering.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:31.616878]
2025-12-04T09:35:35.3124603Z Running inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 09:35:35.311824][2418.812152231]
2025-12-04T09:35:35.3125840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:35.3132148Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_move_constructors_to_gpu.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:35.312710]
2025-12-04T09:35:41.9443683Z 
2025-12-04T09:35:41.9444643Z inductor/test_native_matmul 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_native_matmul_1.1_277cdf6630f37a03_.log
2025-12-04T09:35:41.9445410Z 
2025-12-04T09:35:41.9445728Z Finished inductor/test_native_matmul 1/1 ... [2025-12-04 09:35:41.944118][2425.444456165], took 0.24min
2025-12-04T09:35:46.0520938Z 
2025-12-04T09:35:46.0522094Z inductor/test_selective_lowering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_selective_lowering_1.1_e15832efa4172768_.log
2025-12-04T09:35:46.0522921Z 
2025-12-04T09:35:46.0523294Z Finished inductor/test_selective_lowering 1/1 ... [2025-12-04 09:35:46.051827][2429.552166633], took 0.24min
2025-12-04T09:35:47.9525677Z Running inductor/test_cudacodecache 1/1 ... [2025-12-04 09:35:47.952190][2431.452526283]
2025-12-04T09:35:47.9526503Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:47.9529939Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudacodecache.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:47.952713]
2025-12-04T09:35:49.7504850Z 
2025-12-04T09:35:49.7506482Z inductor/test_move_constructors_to_gpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_move_constructors_to_gpu_1.1_52962fb4d2c7bb82_.log
2025-12-04T09:35:49.7508016Z 
2025-12-04T09:35:49.7509067Z Finished inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 09:35:49.750247][2433.25058647], took 0.24min
2025-12-04T09:35:51.8768219Z Running inductor/test_control_deps 1/1 ... [2025-12-04 09:35:51.876464][2435.376799559]
2025-12-04T09:35:51.8768804Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:51.8772733Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_deps.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:51.877012]
2025-12-04T09:35:55.4382977Z Running inductor/test_best_config 1/1 ... [2025-12-04 09:35:55.437863][2438.938200709]
2025-12-04T09:35:55.4383884Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:55.4386891Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_best_config.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:55.438352]
2025-12-04T09:36:02.2380414Z 
2025-12-04T09:36:02.2381802Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_09bb77b94aed37ae_.log
2025-12-04T09:36:02.2383185Z 
2025-12-04T09:36:02.2383763Z Finished inductor/test_cudacodecache 1/1 ... [2025-12-04 09:36:02.237787][2445.738125912], took 0.24min
2025-12-04T09:36:06.1139255Z 
2025-12-04T09:36:06.1140568Z inductor/test_control_deps 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_deps_1.1_7c18e254f7f00455_.log
2025-12-04T09:36:06.1141775Z 
2025-12-04T09:36:06.1142298Z Finished inductor/test_control_deps 1/1 ... [2025-12-04 09:36:06.113686][2449.614022975], took 0.24min
2025-12-04T09:36:08.0518386Z Running inductor/test_split_cat_fx_passes 1/1 ... [2025-12-04 09:36:08.051490][2451.551825401]
2025-12-04T09:36:08.0518983Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:08.0523148Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_split_cat_fx_passes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:08.052022]
2025-12-04T09:36:09.7232589Z 
2025-12-04T09:36:09.7233524Z inductor/test_best_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_best_config_1.1_159076fafb4e4657_.log
2025-12-04T09:36:09.7234256Z 
2025-12-04T09:36:09.7234564Z Finished inductor/test_best_config 1/1 ... [2025-12-04 09:36:09.723031][2453.223371083], took 0.24min
2025-12-04T09:36:11.8776949Z Running inductor/test_online_softmax 1/1 ... [2025-12-04 09:36:11.877313][2455.377648189]
2025-12-04T09:36:11.8777507Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:11.8780963Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_online_softmax.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:11.877794]
2025-12-04T09:36:15.4915536Z Running inductor/test_dependencies 1/1 ... [2025-12-04 09:36:15.491121][2458.991456791]
2025-12-04T09:36:15.4916084Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:15.4919095Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_dependencies.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:15.491640]
2025-12-04T09:36:22.2880336Z 
2025-12-04T09:36:22.2881635Z inductor/test_split_cat_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_passes_1.1_604e60bf5ca48e37_.log
2025-12-04T09:36:22.2882459Z 
2025-12-04T09:36:22.2882820Z Finished inductor/test_split_cat_fx_passes 1/1 ... [2025-12-04 09:36:22.287819][2465.788158866], took 0.24min
2025-12-04T09:36:26.3133451Z 
2025-12-04T09:36:26.3134547Z inductor/test_online_softmax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_online_softmax_1.1_62569468014caaf7_.log
2025-12-04T09:36:26.3135307Z 
2025-12-04T09:36:26.3135636Z Finished inductor/test_online_softmax 1/1 ... [2025-12-04 09:36:26.313085][2469.813424149], took 0.24min
2025-12-04T09:36:28.1509170Z Running inductor/test_pallas 1/1 ... [2025-12-04 09:36:28.150566][2471.650902475]
2025-12-04T09:36:28.1509695Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:28.1513611Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pallas.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:28.151080]
2025-12-04T09:36:29.9290927Z 
2025-12-04T09:36:29.9292212Z inductor/test_dependencies 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_dependencies_1.1_d030c75d3ba5f5a4_.log
2025-12-04T09:36:29.9292971Z 
2025-12-04T09:36:29.9293312Z Finished inductor/test_dependencies 1/1 ... [2025-12-04 09:36:29.928834][2473.429173206], took 0.24min
2025-12-04T09:36:32.1045380Z Running inductor/test_needs_exact_strides 1/1 ... [2025-12-04 09:36:32.104118][2475.604453772]
2025-12-04T09:36:32.1046340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:32.1050121Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_needs_exact_strides.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:32.104648]
2025-12-04T09:36:35.6802667Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 09:36:35.679878][2479.180212939]
2025-12-04T09:36:35.6803263Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:35.6806363Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fxir_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:35.680360]
2025-12-04T09:36:42.8884395Z 
2025-12-04T09:36:42.8885301Z inductor/test_pallas 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pallas_1.1_c97f9d9bb59be1a8_.log
2025-12-04T09:36:42.8886010Z 
2025-12-04T09:36:42.8886326Z Finished inductor/test_pallas 1/1 ... [2025-12-04 09:36:42.888227][2486.388561739], took 0.25min
2025-12-04T09:36:46.2935414Z 
2025-12-04T09:36:46.2936437Z inductor/test_needs_exact_strides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_needs_exact_strides_1.1_6b1f932849394bfc_.log
2025-12-04T09:36:46.2937569Z 
2025-12-04T09:36:46.2937920Z Finished inductor/test_needs_exact_strides 1/1 ... [2025-12-04 09:36:46.293273][2489.793610347], took 0.24min
2025-12-04T09:36:48.8689378Z Running dynamo/test_torchrec 1/1 ... [2025-12-04 09:36:48.868567][2492.368902779]
2025-12-04T09:36:48.8689888Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:48.8693583Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_torchrec.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:48.869086]
2025-12-04T09:36:50.1668592Z 
2025-12-04T09:36:50.1670341Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_8bb647f709d56b8b_.log
2025-12-04T09:36:50.1671171Z 
2025-12-04T09:36:50.1671501Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 09:36:50.166656][2493.666995549], took 0.24min
2025-12-04T09:36:52.0899072Z Running xpu/test_fusion 1/1 ... [2025-12-04 09:36:52.089556][2495.589892802]
2025-12-04T09:36:52.0899557Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:52.0902938Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'xpu/test_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:52.090053]
2025-12-04T09:36:54.5428206Z 
2025-12-04T09:36:54.5429287Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_881e02be445a0e13_.log
2025-12-04T09:36:54.5430079Z Running 0 items in this shard:
2025-12-04T09:36:54.5430282Z 
2025-12-04T09:36:54.5430567Z Finished dynamo/test_torchrec 1/1 ... [2025-12-04 09:36:54.542760][2498.043099015], took 0.09min
2025-12-04T09:36:54.5559372Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_torchrec/dynamo.test_torchrec-1d2a7e706d348410.xml
2025-12-04T09:36:55.9704724Z Running xpu/test_gemm 1/1 ... [2025-12-04 09:36:55.970108][2499.470438727]
2025-12-04T09:36:55.9705211Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:55.9708938Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:55.970651]
2025-12-04T09:36:57.8141199Z 
2025-12-04T09:36:57.8142618Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_a752dfd224c54589_.log
2025-12-04T09:36:57.8144007Z Running 0 items in this shard:
2025-12-04T09:36:57.8144348Z 
2025-12-04T09:36:57.8144805Z Finished xpu/test_fusion 1/1 ... [2025-12-04 09:36:57.814083][2501.314420399], took 0.10min
2025-12-04T09:36:57.8275421Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-ad68d2960cc1cb98.xml
2025-12-04T09:37:00.3654674Z Running test_decomp 4/13 ... [2025-12-04 09:37:00.365059][2503.865394617]
2025-12-04T09:37:00.3655215Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:00.3658396Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=4', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:00.365564]
2025-12-04T09:37:02.4443741Z 
2025-12-04T09:37:02.4444655Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_b9e7f4331f1cfa3a_.log
2025-12-04T09:37:02.4445768Z Running 0 items in this shard:
2025-12-04T09:37:02.4445958Z 
2025-12-04T09:37:02.4446203Z Finished xpu/test_gemm 1/1 ... [2025-12-04 09:37:02.444316][2505.944655326], took 0.11min
2025-12-04T09:37:02.4717080Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_gemm/xpu.test_gemm-8024fd9a618101a5.xml
2025-12-04T09:37:03.6308043Z Running test_decomp 6/13 ... [2025-12-04 09:37:03.630396][2507.130732253]
2025-12-04T09:37:03.6308537Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:03.6312479Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=6', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:03.630917]
2025-12-04T09:37:08.2207356Z Running test_decomp 7/13 ... [2025-12-04 09:37:08.220393][2511.720730022]
2025-12-04T09:37:08.2207929Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:08.2211916Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=7', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:08.220905]
2025-12-04T09:37:13.2481813Z 
2025-12-04T09:37:13.2483094Z test_decomp 4/13 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_4.13_cfc9fc324b239090_.log
2025-12-04T09:37:13.2484206Z Running 0 items in this shard:
2025-12-04T09:37:13.2484394Z 
2025-12-04T09:37:13.2484662Z Finished test_decomp 4/13 ... [2025-12-04 09:37:13.248191][2516.748528773], took 0.21min
2025-12-04T09:37:13.2633912Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-13e0772d4ec6ccd3.xml
2025-12-04T09:37:16.3144289Z 
2025-12-04T09:37:16.3145252Z test_decomp 6/13 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_6.13_cf62fc48d743e077_.log
2025-12-04T09:37:16.3146065Z Running 0 items in this shard:
2025-12-04T09:37:16.3146257Z 
2025-12-04T09:37:16.3146579Z Finished test_decomp 6/13 ... [2025-12-04 09:37:16.314433][2519.814770714], took 0.21min
2025-12-04T09:37:16.3289244Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-f9242bc5f474896e.xml
2025-12-04T09:37:19.1588809Z Running test_decomp 13/13 ... [2025-12-04 09:37:19.158469][2522.658800819]
2025-12-04T09:37:19.1589283Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:19.1592602Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=13', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:19.159003]
2025-12-04T09:37:21.0543515Z 
2025-12-04T09:37:21.0544405Z test_decomp 7/13 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_7.13_4981cf0c47003375_.log
2025-12-04T09:37:21.0545178Z Running 0 items in this shard:
2025-12-04T09:37:21.0545416Z 
2025-12-04T09:37:21.0545660Z Finished test_decomp 7/13 ... [2025-12-04 09:37:21.054320][2524.554657053], took 0.21min
2025-12-04T09:37:21.0825989Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-72606f8b52022021.xml
2025-12-04T09:37:22.1483233Z Running functorch/test_ac 1/1 ... [2025-12-04 09:37:22.147911][2525.648247135]
2025-12-04T09:37:22.1483784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:22.1487303Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:22.148460]
2025-12-04T09:37:26.8934385Z Running test_numpy_interop 1/1 ... [2025-12-04 09:37:26.893071][2530.393406346]
2025-12-04T09:37:26.8934903Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:26.8938517Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numpy_interop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:26.893566]
2025-12-04T09:37:31.9423089Z 
2025-12-04T09:37:31.9424655Z test_decomp 13/13 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_13.13_8f34c56121065e0f_.log
2025-12-04T09:37:31.9425874Z Running 0 items in this shard:
2025-12-04T09:37:31.9426079Z 
2025-12-04T09:37:31.9426339Z Finished test_decomp 13/13 ... [2025-12-04 09:37:31.942361][2535.442696436], took 0.21min
2025-12-04T09:37:31.9570966Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-e00efee2d28629a1.xml
2025-12-04T09:37:32.0354555Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numpy_interop/test_numpy_interop-29d987f4a9f1ab37.xml
2025-12-04T09:37:32.5659840Z 
2025-12-04T09:37:32.5661325Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_5c8d6447406416ad_.log
2025-12-04T09:37:32.5662315Z Running 0 items in this shard:
2025-12-04T09:37:32.5662505Z 
2025-12-04T09:37:32.5662825Z Finished test_numpy_interop 1/1 ... [2025-12-04 09:37:32.565988][2536.066325191], took 0.09min
2025-12-04T09:37:36.4839169Z 
2025-12-04T09:37:36.4840557Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_c0df6cba59bb5b35_.log
2025-12-04T09:37:36.4841784Z 
2025-12-04T09:37:36.4842291Z Finished functorch/test_ac 1/1 ... [2025-12-04 09:37:36.483680][2539.984018284], took 0.24min
2025-12-04T09:37:37.9328113Z Running profiler/test_cpp_thread 1/1 ... [2025-12-04 09:37:37.932484][2541.43282048]
2025-12-04T09:37:37.9328624Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:37.9332588Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_cpp_thread.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:37.933014]
2025-12-04T09:37:38.5980080Z Running test_ops_gradients 1/1 ... [2025-12-04 09:37:38.597644][2542.097979663]
2025-12-04T09:37:38.5980586Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:38.5984087Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:38.598147]
2025-12-04T09:37:42.3978458Z Running test_hub 1/1 ... [2025-12-04 09:37:42.397476][2545.897811002]
2025-12-04T09:37:42.3978934Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:42.3982426Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:42.397982]
2025-12-04T09:37:44.2069454Z 
2025-12-04T09:37:44.2070497Z profiler/test_cpp_thread 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_cpp_thread_1.1_1a6239ef061c4869_.log
2025-12-04T09:37:44.2071727Z Running 0 items in this shard:
2025-12-04T09:37:44.2071982Z 
2025-12-04T09:37:44.2072289Z Finished profiler/test_cpp_thread 1/1 ... [2025-12-04 09:37:44.206925][2547.707262299], took 0.10min
2025-12-04T09:37:44.2311056Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_cpp_thread/profiler.test_cpp_thread-e206507fcb8c15a6.xml
2025-12-04T09:37:48.2708626Z 
2025-12-04T09:37:48.2709500Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_ec1c39ba74a5483a_.log
2025-12-04T09:37:48.2717336Z Running 30 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_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
2025-12-04T09:37:48.2724515Z 
2025-12-04T09:37:48.2724739Z Finished test_hub 1/1 ... [2025-12-04 09:37:48.270930][2551.77126582], took 0.10min
2025-12-04T09:37:48.2959150Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-083d293ae52a17a3.xml
2025-12-04T09:37:48.3203446Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_hub/test_hub-1bf64aa64275e436.xml
2025-12-04T09:37:49.3778303Z 
2025-12-04T09:37:49.3779709Z test_ops_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.1_0ef031a172e688c7_.log
2025-12-04T09:37:49.3781180Z Running 0 items in this shard:
2025-12-04T09:37:49.3781549Z 
2025-12-04T09:37:49.3782065Z Finished test_ops_gradients 1/1 ... [2025-12-04 09:37:49.377797][2552.878133847], took 0.18min
2025-12-04T09:37:49.9871145Z Running test_segment_reductions 1/1 ... [2025-12-04 09:37:49.986763][2553.487098696]
2025-12-04T09:37:49.9871673Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:49.9875080Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:49.987265]
2025-12-04T09:37:54.1661418Z Running test_type_hints 1/1 ... [2025-12-04 09:37:54.165730][2557.666066736]
2025-12-04T09:37:54.1661944Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:54.1665484Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:54.166238]
2025-12-04T09:37:55.2324524Z Running functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 09:37:55.232053][2558.732388944]
2025-12-04T09:37:55.2325154Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:55.2329140Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:55.232598]
2025-12-04T09:37:55.9102075Z 
2025-12-04T09:37:55.9103887Z test_segment_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_segment_reductions_1.1_362035706c7fb93e_.log
2025-12-04T09:37:55.9105181Z Running 0 items in this shard:
2025-12-04T09:37:55.9105371Z 
2025-12-04T09:37:55.9105668Z Finished test_segment_reductions 1/1 ... [2025-12-04 09:37:55.910201][2559.41054023], took 0.10min
2025-12-04T09:37:55.9259489Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_segment_reductions/test_segment_reductions-459d8ff036371f38.xml
2025-12-04T09:38:00.0896967Z 
2025-12-04T09:38:00.0897822Z test_type_hints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_hints_1.1_60c62a15e27c5e5c_.log
2025-12-04T09:38:00.0902160Z Running 15 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
2025-12-04T09:38:00.0905925Z 
2025-12-04T09:38:00.0906180Z Finished test_type_hints 1/1 ... [2025-12-04 09:38:00.089650][2563.589989419], took 0.10min
2025-12-04T09:38:00.1057702Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_hints/test_type_hints-688fa71a66334685.xml
2025-12-04T09:38:01.1570542Z 
2025-12-04T09:38:01.1572187Z 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_97593123868f4b39_.log
2025-12-04T09:38:01.1573196Z Running 0 items in this shard:
2025-12-04T09:38:01.1573383Z 
2025-12-04T09:38:01.1573771Z Finished functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 09:38:01.157008][2564.657345443], took 0.10min
2025-12-04T09:38:01.1839506Z 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-8dfb73d1d83a599b.xml
2025-12-04T09:38:01.7521158Z Running test_nestedtensor 1/1 ... [2025-12-04 09:38:01.751734][2565.252068675]
2025-12-04T09:38:01.7521654Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:01.7525625Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:01.752244]
2025-12-04T09:38:05.9399126Z Running distributions/test_constraints 1/1 ... [2025-12-04 09:38:05.939515][2569.439851109]
2025-12-04T09:38:05.9399722Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:05.9403001Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'distributions/test_constraints.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:05.940032]
2025-12-04T09:38:07.0936639Z Running test_linalg 1/1 ... [2025-12-04 09:38:07.093272][2570.59360756]
2025-12-04T09:38:07.0937432Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:07.0941056Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:07.093752]
2025-12-04T09:38:10.4792977Z 
2025-12-04T09:38:10.4793994Z test_nestedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.1_135b84dadeba3212_.log
2025-12-04T09:38:10.4800838Z Running 15 items in this shard: test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_masked_select_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_masked_select_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_masked_select_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_masked_select_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_masked_select_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_masked_select_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_masked_select_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_masked_select_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_masked_select_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_masked_select_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_masked_select_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_masked_select_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_masked_select_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_masked_select_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_masked_select_cpu
2025-12-04T09:38:10.4807299Z 
2025-12-04T09:38:10.4807574Z Finished test_nestedtensor 1/1 ... [2025-12-04 09:38:10.479265][2573.979602568], took 0.15min
2025-12-04T09:38:10.4959204Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-53d61fdba0ff69f6.xml
2025-12-04T09:38:11.8139072Z 
2025-12-04T09:38:11.8140105Z distributions/test_constraints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_constraints_1.1_98c16c99a55c06b9_.log
2025-12-04T09:38:11.8141042Z Running 0 items in this shard:
2025-12-04T09:38:11.8141232Z 
2025-12-04T09:38:11.8141592Z Finished distributions/test_constraints 1/1 ... [2025-12-04 09:38:11.813883][2575.31422151], took 0.10min
2025-12-04T09:38:11.8311605Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_constraints/distributions.test_constraints-5cea6ef609cf856c.xml
2025-12-04T09:38:14.5193699Z 
2025-12-04T09:38:14.5194560Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_8366f927e66b6591_.log
2025-12-04T09:38:14.5195288Z Running 0 items in this shard:
2025-12-04T09:38:14.5195478Z 
2025-12-04T09:38:14.5195733Z Finished test_linalg 1/1 ... [2025-12-04 09:38:14.519318][2578.019657268], took 0.12min
2025-12-04T09:38:14.5411064Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_linalg/test_linalg-0c0833d53471ace3.xml
2025-12-04T09:38:16.3512717Z Running test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:38:16.350901][2579.851235497]
2025-12-04T09:38:16.3513305Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:16.3516175Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:16.351382]
2025-12-04T09:38:17.7659955Z Running test_fx_reinplace_pass 1/1 ... [2025-12-04 09:38:17.765522][2581.26585787]
2025-12-04T09:38:17.7660892Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:17.7663397Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:17.766021]
2025-12-04T09:38:20.5925692Z Running functorch/test_control_flow 1/1 ... [2025-12-04 09:38:20.592184][2584.092521163]
2025-12-04T09:38:20.5926240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:20.5929749Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:20.592672]
2025-12-04T09:38:22.6251661Z 
2025-12-04T09:38:22.6252832Z 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_27eb1db35f831f38_.log
2025-12-04T09:38:22.6253755Z Running 0 items in this shard:
2025-12-04T09:38:22.6253959Z 
2025-12-04T09:38:22.6254297Z Finished test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:38:22.625133][2586.125469753], took 0.10min
2025-12-04T09:38:22.6423425Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization_of_rng_ops/test_functionalization_of_rng_ops-e49668f35c37783d.xml
2025-12-04T09:38:22.7338766Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_reinplace_pass/test_fx_reinplace_pass-42135678d463088e.xml
2025-12-04T09:38:23.3388424Z 
2025-12-04T09:38:23.3389705Z 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_a69ffa4044be88e1_.log
2025-12-04T09:38:23.3390780Z Running 0 items in this shard:
2025-12-04T09:38:23.3390973Z 
2025-12-04T09:38:23.3391290Z Finished test_fx_reinplace_pass 1/1 ... [2025-12-04 09:38:23.338853][2586.839190184], took 0.09min
2025-12-04T09:38:28.3894006Z Running test_modules 1/1 ... [2025-12-04 09:38:28.389037][2591.889372913]
2025-12-04T09:38:28.3894486Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:28.3898583Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_modules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:28.389556]
2025-12-04T09:38:28.5181803Z 
2025-12-04T09:38:28.5183350Z 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_87c4c66436f446fa_.log
2025-12-04T09:38:28.5184234Z Running 0 items in this shard:
2025-12-04T09:38:28.5184437Z 
2025-12-04T09:38:28.5184753Z Finished functorch/test_control_flow 1/1 ... [2025-12-04 09:38:28.518121][2592.018458294], took 0.13min
2025-12-04T09:38:28.5406819Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_control_flow/functorch.test_control_flow-e2930cb9a946480c.xml
2025-12-04T09:38:29.1491588Z Running nn/test_packed_sequence 1/1 ... [2025-12-04 09:38:29.148734][2592.649069868]
2025-12-04T09:38:29.1492134Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:29.1495272Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_packed_sequence.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:29.149233]
2025-12-04T09:38:34.2897988Z Running test_numa_binding 1/1 ... [2025-12-04 09:38:34.289364][2597.789700854]
2025-12-04T09:38:34.2898493Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:34.2902489Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numa_binding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:34.289901]
2025-12-04T09:38:34.5217007Z 
2025-12-04T09:38:34.5218199Z nn/test_packed_sequence 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_packed_sequence_1.1_b62c03a5aea94642_.log
2025-12-04T09:38:34.5219528Z Running 0 items in this shard:
2025-12-04T09:38:34.5219900Z 
2025-12-04T09:38:34.5220301Z Finished nn/test_packed_sequence 1/1 ... [2025-12-04 09:38:34.521811][2598.022145995], took 0.09min
2025-12-04T09:38:34.5397213Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_packed_sequence/nn.test_packed_sequence-2497c3bf69ceda7f.xml
2025-12-04T09:38:37.8182428Z 
2025-12-04T09:38:37.8183279Z test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_1.1_946641f84d716840_.log
2025-12-04T09:38:37.8184189Z Running 0 items in this shard:
2025-12-04T09:38:37.8184462Z 
2025-12-04T09:38:37.8185135Z Finished test_modules 1/1 ... [2025-12-04 09:38:37.818335][2601.31866863], took 0.16min
2025-12-04T09:38:37.8361281Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_modules/test_modules-12710577746bf214.xml
2025-12-04T09:38:39.7646848Z 
2025-12-04T09:38:39.7647905Z test_numa_binding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numa_binding_1.1_cf994fa40c6171a3_.log
2025-12-04T09:38:39.7648682Z Running 0 items in this shard:
2025-12-04T09:38:39.7648872Z 
2025-12-04T09:38:39.7649164Z Finished test_numa_binding 1/1 ... [2025-12-04 09:38:39.764643][2603.264978892], took 0.09min
2025-12-04T09:38:39.8013454Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numa_binding/test_numa_binding-9d073c6b885194a0.xml
2025-12-04T09:38:40.3953474Z Running test_pruning_op 1/1 ... [2025-12-04 09:38:40.394998][2603.895333355]
2025-12-04T09:38:40.3953944Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:40.3958067Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_pruning_op.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:40.395528]
2025-12-04T09:38:43.6728229Z Running test_logging 1/1 ... [2025-12-04 09:38:43.672463][2607.172798588]
2025-12-04T09:38:43.6728718Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:43.6732217Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_logging.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:43.672958]
2025-12-04T09:38:45.6975867Z Running nn/test_lazy_modules 1/1 ... [2025-12-04 09:38:45.697202][2609.197536998]
2025-12-04T09:38:45.6976402Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:45.6980022Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_lazy_modules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:45.697725]
2025-12-04T09:38:45.9680624Z 
2025-12-04T09:38:45.9681483Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_3474accb2f487e2a_.log
2025-12-04T09:38:45.9683067Z Running 0 items in this shard:
2025-12-04T09:38:45.9683304Z 
2025-12-04T09:38:45.9683580Z Finished test_pruning_op 1/1 ... [2025-12-04 09:38:45.968181][2609.468516248], took 0.09min
2025-12-04T09:38:45.9866008Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_pruning_op/test_pruning_op-94d7e8be46091456.xml
2025-12-04T09:38:49.2463818Z 
2025-12-04T09:38:49.2465057Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_eee9ab70840a02f9_.log
2025-12-04T09:38:49.2466323Z Running 0 items in this shard:
2025-12-04T09:38:49.2466640Z 
2025-12-04T09:38:49.2467051Z Finished test_logging 1/1 ... [2025-12-04 09:38:49.246344][2612.746679893], took 0.09min
2025-12-04T09:38:49.2657129Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_logging/test_logging-5c21a43844a7de92.xml
2025-12-04T09:38:51.4731006Z 
2025-12-04T09:38:51.4732768Z nn/test_lazy_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_lazy_modules_1.1_9a22356cc9e921a1_.log
2025-12-04T09:38:51.4734154Z Running 0 items in this shard:
2025-12-04T09:38:51.4734449Z 
2025-12-04T09:38:51.4734866Z Finished nn/test_lazy_modules 1/1 ... [2025-12-04 09:38:51.473084][2614.973420864], took 0.10min
2025-12-04T09:38:51.5429936Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_lazy_modules/nn.test_lazy_modules-e1f5f3c2101ac557.xml
2025-12-04T09:38:51.8197317Z Running nn/test_pruning 1/1 ... [2025-12-04 09:38:51.819388][2615.319724005]
2025-12-04T09:38:51.8197787Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:51.8201709Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_pruning.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:51.819895]
2025-12-04T09:38:55.0042263Z Running test_monitor 1/1 ... [2025-12-04 09:38:55.003861][2618.504198723]
2025-12-04T09:38:55.0042773Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:55.0046412Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_monitor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:55.004362]
2025-12-04T09:38:57.3575393Z Running test_bundled_inputs 1/1 ... [2025-12-04 09:38:57.357166][2620.857502944]
2025-12-04T09:38:57.3575970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:57.3579638Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_bundled_inputs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:57.357680]
2025-12-04T09:38:57.4937344Z 
2025-12-04T09:38:57.4938240Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_b45a2b0b226e5409_.log
2025-12-04T09:38:57.4939334Z Running 0 items in this shard:
2025-12-04T09:38:57.4939575Z 
2025-12-04T09:38:57.4939836Z Finished nn/test_pruning 1/1 ... [2025-12-04 09:38:57.493759][2620.994095803], took 0.09min
2025-12-04T09:38:57.5236090Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pruning/nn.test_pruning-ebe5101dc0fdc0bb.xml
2025-12-04T09:39:00.4264716Z 
2025-12-04T09:39:00.4265566Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_cdab47da1a0ea9a4_.log
2025-12-04T09:39:00.4266289Z Running 0 items in this shard:
2025-12-04T09:39:00.4266492Z 
2025-12-04T09:39:00.4267007Z Finished test_monitor 1/1 ... [2025-12-04 09:39:00.426471][2623.926807736], took 0.09min
2025-12-04T09:39:00.4461901Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_monitor/test_monitor-b9d2f8d33e8b600e.xml
2025-12-04T09:39:02.8310172Z 
2025-12-04T09:39:02.8311081Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_0cf4ae1f01f9be8c_.log
2025-12-04T09:39:02.8312199Z Running 0 items in this shard:
2025-12-04T09:39:02.8312480Z 
2025-12-04T09:39:02.8312884Z Finished test_bundled_inputs 1/1 ... [2025-12-04 09:39:02.830991][2626.331329158], took 0.09min
2025-12-04T09:39:02.8508130Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_bundled_inputs/test_bundled_inputs-10c3a0dea8bcb11d.xml
2025-12-04T09:39:03.2677538Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 09:39:03.267395][2626.767729036]
2025-12-04T09:39:03.2678230Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:03.2681616Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:03.267887]
2025-12-04T09:39:06.2106399Z Running torch_np/numpy_tests/core/test_multiarray 1/2 ... [2025-12-04 09:39:06.210223][2629.710559541]
2025-12-04T09:39:06.2107018Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:06.2110170Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_multiarray.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:06.210712]
2025-12-04T09:39:08.6471755Z Running optim/test_lrscheduler 1/1 ... [2025-12-04 09:39:08.646783][2632.147119369]
2025-12-04T09:39:08.6472302Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:08.6475931Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_lrscheduler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:08.647294]
2025-12-04T09:39:08.9406067Z 
2025-12-04T09:39:08.9407261Z torch_np/numpy_tests/core/test_numeric 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_de97996318e153e7_.log
2025-12-04T09:39:08.9408419Z Running 0 items in this shard:
2025-12-04T09:39:08.9408665Z 
2025-12-04T09:39:08.9409189Z Finished torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 09:39:08.940693][2632.441028756], took 0.09min
2025-12-04T09:39:08.9606162Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numeric/torch_np.numpy_tests.core.test_numeric-2fc60866a3d85e6e.xml
2025-12-04T09:39:12.3839481Z 
2025-12-04T09:39:12.3841404Z torch_np/numpy_tests/core/test_multiarray 1/2 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_multiarray_1.2_0fbc982b0af1ec0b_.log
2025-12-04T09:39:12.3842388Z Running 0 items in this shard:
2025-12-04T09:39:12.3842593Z 
2025-12-04T09:39:12.3842977Z Finished torch_np/numpy_tests/core/test_multiarray 1/2 ... [2025-12-04 09:39:12.383892][2635.884230827], took 0.10min
2025-12-04T09:39:12.4041018Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_multiarray/torch_np.numpy_tests.core.test_multiarray-b411934a825f943c.xml
2025-12-04T09:39:13.9694846Z 
2025-12-04T09:39:13.9696193Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_b4c0c5fab870a210_.log
2025-12-04T09:39:13.9697097Z 
2025-12-04T09:39:13.9697424Z Finished optim/test_lrscheduler 1/1 ... [2025-12-04 09:39:13.969379][2637.469718154], took 0.09min
2025-12-04T09:39:14.8094312Z Running test_scaled_matmul_cuda 1/1 ... [2025-12-04 09:39:14.809083][2638.309420112]
2025-12-04T09:39:14.8094841Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:14.8098671Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_scaled_matmul_cuda.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:14.809584]
2025-12-04T09:39:18.1549448Z Running functorch/test_aotdispatch 4/4 ... [2025-12-04 09:39:18.154553][2641.654888409]
2025-12-04T09:39:18.1550006Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:18.1553090Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:18.155019]
2025-12-04T09:39:19.7969497Z Running torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 09:39:19.796583][2643.296918558]
2025-12-04T09:39:19.7970075Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:19.7974070Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:19.797115]
2025-12-04T09:39:20.6826496Z 
2025-12-04T09:39:20.6827537Z test_scaled_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_scaled_matmul_cuda_1.1_a77a722c736036b9_.log
2025-12-04T09:39:20.6828707Z Running 0 items in this shard:
2025-12-04T09:39:20.6828928Z 
2025-12-04T09:39:20.6829222Z Finished test_scaled_matmul_cuda 1/1 ... [2025-12-04 09:39:20.682597][2644.18293614], took 0.10min
2025-12-04T09:39:20.7027478Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_scaled_matmul_cuda/test_scaled_matmul_cuda-b1ca502a806318ef.xml
2025-12-04T09:39:25.2192664Z 
2025-12-04T09:39:25.2194402Z 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_d541118bb97870b6_.log
2025-12-04T09:39:25.2196199Z Running 0 items in this shard:
2025-12-04T09:39:25.2196698Z 
2025-12-04T09:39:25.2197339Z Finished torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 09:39:25.219211][2648.719548366], took 0.09min
2025-12-04T09:39:25.2518076Z 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-fcd4aa6a4d16c256.xml
2025-12-04T09:39:26.4068795Z Running test_scatter_gather_ops 1/1 ... [2025-12-04 09:39:26.406458][2649.906793889]
2025-12-04T09:39:26.4069758Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:26.4073575Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:26.406994]
2025-12-04T09:39:28.1345154Z 
2025-12-04T09:39:28.1346488Z functorch/test_aotdispatch 4/4 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_4.4_7732e02f84244637_.log
2025-12-04T09:39:28.1347833Z Running 0 items in this shard:
2025-12-04T09:39:28.1348460Z 
2025-12-04T09:39:28.1348960Z Finished functorch/test_aotdispatch 4/4 ... [2025-12-04 09:39:28.134476][2651.634813547], took 0.17min
2025-12-04T09:39:28.1660505Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-a916f6262f648b9e.xml
2025-12-04T09:39:31.0535265Z Running test_mkldnn 1/1 ... [2025-12-04 09:39:31.053154][2654.553490946]
2025-12-04T09:39:31.0535743Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:31.0539506Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mkldnn.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:31.053662]
2025-12-04T09:39:32.3814315Z 
2025-12-04T09:39:32.3815414Z 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_a3f4bfd61d65b792_.log
2025-12-04T09:39:32.3816242Z Running 0 items in this shard:
2025-12-04T09:39:32.3816434Z 
2025-12-04T09:39:32.3816756Z Finished test_scatter_gather_ops 1/1 ... [2025-12-04 09:39:32.381403][2655.881740574], took 0.10min
2025-12-04T09:39:32.4026537Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_scatter_gather_ops/test_scatter_gather_ops-28147585e08ff50e.xml
2025-12-04T09:39:33.9331045Z Running functorch/test_vmap 1/1 ... [2025-12-04 09:39:33.932739][2657.433075509]
2025-12-04T09:39:33.9331569Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:33.9334889Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:33.933230]
2025-12-04T09:39:37.0768802Z 
2025-12-04T09:39:37.0769628Z test_mkldnn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_1.1_c0dc9fa3a2713a2f_.log
2025-12-04T09:39:37.0770447Z Running 0 items in this shard:
2025-12-04T09:39:37.0770716Z 
2025-12-04T09:39:37.0771054Z Finished test_mkldnn 1/1 ... [2025-12-04 09:39:37.076883][2660.57721939], took 0.10min
2025-12-04T09:39:37.0982914Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mkldnn/test_mkldnn-476437cca30d01cb.xml
2025-12-04T09:39:38.2256969Z Running torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-12-04 09:39:38.225361][2661.72569707]
2025-12-04T09:39:38.2257570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:38.2261087Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:38.225826]
2025-12-04T09:39:42.6106352Z 
2025-12-04T09:39:42.6107679Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_7287896161313cd4_.log
2025-12-04T09:39:42.6108500Z Running 0 items in this shard:
2025-12-04T09:39:42.6108692Z 
2025-12-04T09:39:42.6108994Z Finished functorch/test_vmap 1/1 ... [2025-12-04 09:39:42.610620][2666.110958158], took 0.14min
2025-12-04T09:39:42.6447588Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap/functorch.test_vmap-5f35789c6d013682.xml
2025-12-04T09:39:42.8880642Z Running test_jit_autocast 1/1 ... [2025-12-04 09:39:42.887716][2666.388050367]
2025-12-04T09:39:42.8881114Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:42.8885662Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:42.888263]
2025-12-04T09:39:43.7985630Z 
2025-12-04T09:39:43.7986844Z 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_a111deea24326e57_.log
2025-12-04T09:39:43.7987849Z Running 0 items in this shard:
2025-12-04T09:39:43.7988041Z 
2025-12-04T09:39:43.7988428Z Finished torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-12-04 09:39:43.798543][2667.298880013], took 0.09min
2025-12-04T09:39:43.8326664Z 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-33e7644231023de0.xml
2025-12-04T09:39:48.6173307Z Running nn/test_embedding 1/1 ... [2025-12-04 09:39:48.616936][2672.117270307]
2025-12-04T09:39:48.6173835Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:48.6177179Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:48.617441]
2025-12-04T09:39:49.6919111Z Running test_unary_ufuncs 1/1 ... [2025-12-04 09:39:49.691569][2673.191905127]
2025-12-04T09:39:49.6919612Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:49.6923447Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:49.692097]
2025-12-04T09:39:50.8163675Z 
2025-12-04T09:39:50.8164618Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_30176442c408bfe2_.log
2025-12-04T09:39:50.8165499Z Running 0 items in this shard:
2025-12-04T09:39:50.8165704Z 
2025-12-04T09:39:50.8165970Z Finished test_jit_autocast 1/1 ... [2025-12-04 09:39:50.816343][2674.316682878], took 0.13min
2025-12-04T09:39:50.8387120Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_autocast/test_jit_autocast-137cf876ec6def99.xml
2025-12-04T09:39:54.4913693Z 
2025-12-04T09:39:54.4914753Z nn/test_embedding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_embedding_1.1_f49249e0e450cda1_.log
2025-12-04T09:39:54.4915534Z Running 0 items in this shard:
2025-12-04T09:39:54.4915735Z 
2025-12-04T09:39:54.4916007Z Finished nn/test_embedding 1/1 ... [2025-12-04 09:39:54.491350][2677.991689128], took 0.10min
2025-12-04T09:39:54.5283371Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_embedding/nn.test_embedding-1b9b409730197152.xml
2025-12-04T09:39:56.7813777Z Running test_xnnpack_integration 1/2 ... [2025-12-04 09:39:56.780997][2680.281329767]
2025-12-04T09:39:56.7814337Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:56.7818126Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:56.781555]
2025-12-04T09:40:00.8434991Z Running test_accelerator 1/1 ... [2025-12-04 09:40:00.843152][2684.343487894]
2025-12-04T09:40:00.8435490Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:40:00.8439164Z 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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:00.843630]
2025-12-04T09:40:02.3040013Z 
2025-12-04T09:40:02.3041150Z test_xnnpack_integration 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.2_a85810f3fb956ea7_.log
2025-12-04T09:40:02.3042021Z Running 0 items in this shard:
2025-12-04T09:40:02.3042212Z 
2025-12-04T09:40:02.3042515Z Finished test_xnnpack_integration 1/2 ... [2025-12-04 09:40:02.304000][2685.804339192], took 0.09min
2025-12-04T09:40:02.3370440Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_xnnpack_integration/test_xnnpack_integration-60834a564a94d980.xml
2025-12-04T09:40:06.0165866Z 
2025-12-04T09:40:06.0167018Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_257f7290373df4a5_.log
2025-12-04T09:40:06.0167883Z 
2025-12-04T09:40:06.0168155Z Finished test_accelerator 1/1 ... [2025-12-04 09:40:06.016573][2689.51691104], took 0.09min
2025-12-04T09:40:12.4891467Z 
2025-12-04T09:40:12.4892417Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_4746f3cfa47e0698_.log
2025-12-04T09:40:12.4893334Z Running 0 items in this shard:
2025-12-04T09:40:12.4893525Z 
2025-12-04T09:40:12.4893804Z Finished test_unary_ufuncs 1/1 ... [2025-12-04 09:40:12.489132][2695.989469197], took 0.38min
2025-12-04T09:40:12.5114933Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-fc87dd47a1244c40.xml
2025-12-04T09:40:13.5423980Z Running test batch 'tests to run' cost 2002.6 seconds
2025-12-04T09:40:13.5439347Z Emitting td_test_failure_stats_v2
2025-12-04T09:40:13.5443246Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841213_3bb003dad0f511f0911e0242ac110002
2025-12-04T09:40:13.6765588Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841213_3bb003dad0f511f0911e0242ac110002 
2025-12-04T09:40:13.6766778Z test_ci_sanity_check_fail 1/1 failed!
2025-12-04T09:40:14.9030162Z 
2025-12-04T09:40:14.9030576Z real	33m31.281s
2025-12-04T09:40:14.9030867Z user	57m18.344s
2025-12-04T09:40:14.9031080Z sys	13m8.926s
2025-12-04T09:40:14.9031311Z + assert_git_not_dirty
2025-12-04T09:40:14.9031627Z + [[ linux-jammy-py3.10-clang18-asan != *rocm* ]]
2025-12-04T09:40:14.9032028Z + [[ linux-jammy-py3.10-clang18-asan != *xla* ]]
2025-12-04T09:40:14.9035796Z ++ git status --porcelain
2025-12-04T09:40:14.9036417Z ++ grep -v '?? third_party'
2025-12-04T09:40:59.3766037Z ++ true
2025-12-04T09:40:59.3767332Z + git_status=
2025-12-04T09:40:59.3767677Z + [[ -n '' ]]
2025-12-04T09:40:59.3768012Z + test_aten
2025-12-04T09:40:59.3779572Z + echo 'Running ATen tests with pytorch lib'
2025-12-04T09:40:59.3779958Z Running ATen tests with pytorch lib
2025-12-04T09:40:59.3780257Z + [[ -n '' ]]
2025-12-04T09:40:59.3780511Z + echo 'Running test with the build folder'
2025-12-04T09:40:59.3781085Z Running test with the build folder
2025-12-04T09:40:59.3781378Z + TEST_BASE_DIR=build/bin
2025-12-04T09:40:59.3781865Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so build/bin
2025-12-04T09:40:59.3856091Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2*' build/bin
2025-12-04T09:40:59.3905900Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libmkldnn*' build/bin
2025-12-04T09:40:59.3954815Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnccl*' build/bin
2025-12-04T09:40:59.4005621Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so build/bin
2025-12-04T09:40:59.4048648Z + ls build/bin
2025-12-04T09:40:59.4122825Z  BackoffTest			       cpu_generator_test
2025-12-04T09:40:59.4123268Z  CMakeFiles			       cpu_profiling_allocator_test
2025-12-04T09:40:59.4123709Z  CTestTestfile.cmake		       cpu_rng_test
2025-12-04T09:40:59.4124135Z  CppSignature_test		       dlconvertor_test
2025-12-04T09:40:59.4124552Z  Dict_test			       example_allreduce
2025-12-04T09:40:59.4124882Z  Dimname_test			       extension_backend_test
2025-12-04T09:40:59.4125229Z  FileStoreTest			       half_test
2025-12-04T09:40:59.4125561Z  HashStoreTest			       inline_container_test
2025-12-04T09:40:59.4125894Z  IListRef_test			       ivalue_test
2025-12-04T09:40:59.4126270Z  KernelFunction_test		       kernel_function_legacy_test
2025-12-04T09:40:59.4126680Z  List_test			       kernel_function_test
2025-12-04T09:40:59.4127098Z  MaybeOwned_test		       kernel_lambda_legacy_test
2025-12-04T09:40:59.4127469Z  NamedTensor_test		       kernel_lambda_test
2025-12-04T09:40:59.4127873Z  ProcessGroupGlooTest		       kernel_stackbased_test
2025-12-04T09:40:59.4128267Z  StorageUtils_test		       lazy_tensor_test
2025-12-04T09:40:59.4128594Z  TCPStoreTest			       legacy_vmap_test
2025-12-04T09:40:59.4128920Z  apply_utils_test		       libc10.so
2025-12-04T09:40:59.4129225Z  atest				      'libcaffe2*'
2025-12-04T09:40:59.4129508Z  backend_fallback_test		      'libmkldnn*'
2025-12-04T09:40:59.4129826Z  basic				      'libnccl*'
2025-12-04T09:40:59.4130098Z  broadcast_test			       libtorch.so
2025-12-04T09:40:59.4130426Z  c10_AllocatorConfig_test	       libtorch_cpu.so
2025-12-04T09:40:59.4130810Z  c10_ArrayRef_test		       libtorch_global_deps.so
2025-12-04T09:40:59.4131176Z  c10_Bitset_test		       libtorch_python.so
2025-12-04T09:40:59.4131596Z  c10_CompileTimeFunctionPointer_test   libtorchbind_test.so
2025-12-04T09:40:59.4132091Z  c10_ConstexprCrc_test		       make_boxed_from_unboxed_functor_test
2025-12-04T09:40:59.4132575Z  c10_DeadlockDetection_test	       math_kernel_test
2025-12-04T09:40:59.4132999Z  c10_DeviceGuard_test		       memory_format_test
2025-12-04T09:40:59.4133427Z  c10_Device_test		       memory_overlapping_test
2025-12-04T09:40:59.4133812Z  c10_DispatchKeySet_test	       mobile_memory_cleanup
2025-12-04T09:40:59.4134185Z  c10_Enumerate_test		       native_test
2025-12-04T09:40:59.4134511Z  c10_Half_test			       op_allowlist_test
2025-12-04T09:40:59.4134878Z  c10_InlineDeviceGuard_test	       op_registration_test
2025-12-04T09:40:59.4135307Z  c10_InlineStreamGuard_test	       operator_name_test
2025-12-04T09:40:59.4135700Z  c10_IntrusiveList_test		       operators_test
2025-12-04T09:40:59.4136084Z  c10_LeftRight_test		       packedtensoraccessor_test
2025-12-04T09:40:59.4136485Z  c10_NetworkFlow_test		       parallel_benchmark
2025-12-04T09:40:59.4136837Z  c10_Scalar_test		       pow_test
2025-12-04T09:40:59.4137132Z  c10_Semaphore_test		       protoc
2025-12-04T09:40:59.4137474Z  c10_SizesAndStrides_test	       protoc-3.13.0.0
2025-12-04T09:40:59.4138011Z  c10_StreamGuard_test		       quantized_test
2025-12-04T09:40:59.4138354Z  c10_SymInt_test		       reduce_ops_test
2025-12-04T09:40:59.4138720Z  c10_Synchronized_test		       reportMemoryUsage_test
2025-12-04T09:40:59.4139117Z  c10_ThreadLocal_test		       scalar_tensor_test
2025-12-04T09:40:59.4139467Z  c10_TypeIndex_test		       scalar_test
2025-12-04T09:40:59.4139801Z  c10_accumulate_test		       static_runtime_bench
2025-12-04T09:40:59.4140174Z  c10_bfloat16_test		       static_runtime_test
2025-12-04T09:40:59.4140543Z  c10_bit_cast_test		       stride_properties_test
2025-12-04T09:40:59.4140916Z  c10_complex_math_test		       tensor_iterator_test
2025-12-04T09:40:59.4141296Z  c10_complex_test		       test_aoti_abi_check
2025-12-04T09:40:59.4141641Z  c10_cow_test			       test_api
2025-12-04T09:40:59.4142030Z  c10_error_test			       test_cpp_rpc
2025-12-04T09:40:59.4142356Z  c10_exception_test		       test_dist_autograd
2025-12-04T09:40:59.4142697Z  c10_flags_test			       test_jit
2025-12-04T09:40:59.4143005Z  c10_generic_math_test		       test_lazy
2025-12-04T09:40:59.4143348Z  c10_intrusive_ptr_benchmark	       test_parallel
2025-12-04T09:40:59.4143738Z  c10_intrusive_ptr_test		       test_vec_half_AVX2
2025-12-04T09:40:59.4144113Z  c10_irange_test		       test_vec_half_AVX512
2025-12-04T09:40:59.4144455Z  c10_lazy_test			       test_vec_half_DEFAULT
2025-12-04T09:40:59.4144799Z  c10_logging_test		       thread_init_test
2025-12-04T09:40:59.4145141Z  c10_nofatal_test		       torch_shm_manager
2025-12-04T09:40:59.4145469Z  c10_optional_test		       type_ptr_test
2025-12-04T09:40:59.4145828Z  c10_ordered_preserving_dict_test      type_test
2025-12-04T09:40:59.4146205Z  c10_registry_test		       undefined_tensor_test
2025-12-04T09:40:59.4146607Z  c10_small_vector_test		       vec_test_all_types_AVX2
2025-12-04T09:40:59.4146993Z  c10_ssize_test			       vec_test_all_types_AVX512
2025-12-04T09:40:59.4147393Z  c10_string_util_test		       vec_test_all_types_DEFAULT
2025-12-04T09:40:59.4147801Z  c10_string_view_test		       verify_api_visibility
2025-12-04T09:40:59.4148153Z  c10_tempfile_test		       weakref_test
2025-12-04T09:40:59.4148478Z  c10_typeid_test		       wrapdim_test
2025-12-04T09:40:59.4148808Z  cmake_install.cmake		       xla_tensor_test
2025-12-04T09:40:59.4149117Z  cpu_allocator_test
2025-12-04T09:40:59.4149373Z + aten/tools/run_tests.sh build/bin
2025-12-04T09:40:59.4191067Z + set -e
2025-12-04T09:40:59.4212875Z ++ dirname aten/tools/run_tests.sh
2025-12-04T09:40:59.4266891Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup
2025-12-04T09:40:59.4267428Z + export CPP_TESTS_DIR=build/bin
2025-12-04T09:40:59.4267728Z + CPP_TESTS_DIR=build/bin
2025-12-04T09:40:59.4267977Z + VALGRIND=OFF
2025-12-04T09:40:59.4271573Z + 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
2025-12-04T09:41:06.3048484Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T09:41:06.3173403Z Found test times from artifacts
2025-12-04T09:41:06.3668249Z Found test times from artifacts
2025-12-04T09:41:06.3683453Z Running all tests
2025-12-04T09:41:06.3687767Z Running parallel tests on 3 processes
2025-12-04T09:41:06.3689781Z Name: tests to run (est. time: 0.0min)
2025-12-04T09:41:06.3690098Z   Serial tests (0):
2025-12-04T09:41:06.3690349Z   Parallel tests (19):
2025-12-04T09:41:06.3690592Z     cpp/Dict_test 1/1
2025-12-04T09:41:06.3690870Z     cpp/Dimname_test 1/1
2025-12-04T09:41:06.3691141Z     cpp/NamedTensor_test 1/1
2025-12-04T09:41:06.3691414Z     cpp/apply_utils_test 1/1
2025-12-04T09:41:06.3691682Z     cpp/atest 1/1
2025-12-04T09:41:06.3692162Z     cpp/basic 1/1
2025-12-04T09:41:06.3692386Z     cpp/broadcast_test 1/1
2025-12-04T09:41:06.3692663Z     cpp/cpu_generator_test 1/1
2025-12-04T09:41:06.3692951Z     cpp/dlconvertor_test 1/1
2025-12-04T09:41:06.3693226Z     cpp/extension_backend_test 1/1
2025-12-04T09:41:06.3693528Z     cpp/lazy_tensor_test 1/1
2025-12-04T09:41:06.3693809Z     cpp/legacy_vmap_test 1/1
2025-12-04T09:41:06.3694071Z     cpp/native_test 1/1
2025-12-04T09:41:06.3694331Z     cpp/operators_test 1/1
2025-12-04T09:41:06.3694609Z     cpp/scalar_tensor_test 1/1
2025-12-04T09:41:06.3694873Z     cpp/scalar_test 1/1
2025-12-04T09:41:06.3695138Z     cpp/tensor_iterator_test 1/1
2025-12-04T09:41:06.3695524Z     cpp/undefined_tensor_test 1/1
2025-12-04T09:41:06.3695930Z     cpp/wrapdim_test 1/1
2025-12-04T09:41:06.3696314Z Name: excluded (est. time: 0.0min)
2025-12-04T09:41:06.3696840Z   Serial tests (0):
2025-12-04T09:41:06.3697239Z   Parallel tests (0):
2025-12-04T09:41:06.3697599Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:41:06.369463][2749.869803616]
2025-12-04T09:41:06.3698064Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:06.3698463Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:06.3699004Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:41:06.369666][2749.87000922], took 0.00min
2025-12-04T09:41:06.8475120Z Uploading artifacts took 0.45 seconds
2025-12-04T09:41:06.8475634Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:41:06.847325][2750.347662839]
2025-12-04T09:41:06.8476084Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:06.8476492Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:06.8477071Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:41:06.847511][2750.347853628], took 0.00min
2025-12-04T09:41:06.8721897Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:41:06.871981][2750.372319804]
2025-12-04T09:41:06.8722398Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:06.8722808Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:06.8723416Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:41:06.872164][2750.372507709], took 0.00min
2025-12-04T09:41:06.8938064Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:41:06.893602][2750.393942026]
2025-12-04T09:41:06.8938530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:06.8938931Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:06.8939519Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:41:06.893778][2750.39412174], took 0.00min
2025-12-04T09:41:06.9152501Z Running cpp/atest 1/1 ... [2025-12-04 09:41:06.915108][2750.415448323]
2025-12-04T09:41:06.9152918Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:06.9153864Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:06.9154421Z Finished cpp/atest 1/1 ... [2025-12-04 09:41:06.915289][2750.415632663], took 0.00min
2025-12-04T09:41:06.9380607Z Running cpp/basic 1/1 ... [2025-12-04 09:41:06.937913][2750.438255299]
2025-12-04T09:41:06.9381053Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:06.9381715Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:06.9382253Z Finished cpp/basic 1/1 ... [2025-12-04 09:41:06.938081][2750.438424141], took 0.00min
2025-12-04T09:41:06.9612148Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:41:06.961055][2750.461397391]
2025-12-04T09:41:06.9619839Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:06.9620277Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:06.9620866Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:41:06.961216][2750.461558498], took 0.00min
2025-12-04T09:41:06.9821389Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:41:06.981968][2750.482310396]
2025-12-04T09:41:06.9821951Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:06.9822377Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:06.9822963Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:41:06.982127][2750.48246951], took 0.00min
2025-12-04T09:41:07.0044636Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:41:07.004310][2750.504652552]
2025-12-04T09:41:07.0045124Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:07.0045690Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:07.0046271Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:41:07.004464][2750.50480808], took 0.00min
2025-12-04T09:41:07.0268464Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:41:07.026701][2750.527043786]
2025-12-04T09:41:07.0269025Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:07.0269542Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:07.0270153Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:41:07.026855][2750.527198656], took 0.00min
2025-12-04T09:41:07.0484075Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:41:07.048232][2750.548574386]
2025-12-04T09:41:07.0484607Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:07.0485029Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:07.0485599Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:41:07.048385][2750.54872905], took 0.00min
2025-12-04T09:41:07.0690485Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:41:07.068891][2750.569233482]
2025-12-04T09:41:07.0690969Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:07.0691818Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:07.0692454Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:41:07.069043][2750.569386638], took 0.00min
2025-12-04T09:41:07.0907763Z Running cpp/native_test 1/1 ... [2025-12-04 09:41:07.090621][2750.590963713]
2025-12-04T09:41:07.0908287Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:07.0908837Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:07.0909403Z Finished cpp/native_test 1/1 ... [2025-12-04 09:41:07.090773][2750.59111694], took 0.00min
2025-12-04T09:41:07.1135821Z Running cpp/operators_test 1/1 ... [2025-12-04 09:41:07.113431][2750.613773353]
2025-12-04T09:41:07.1136304Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:07.1136826Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:07.1137402Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:41:07.113583][2750.613927083], took 0.00min
2025-12-04T09:41:07.1341843Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:41:07.134017][2750.634359797]
2025-12-04T09:41:07.1342545Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:07.1342963Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:07.1343559Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:41:07.134171][2750.634515158], took 0.00min
2025-12-04T09:41:07.1547917Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:41:07.154645][2750.65498768]
2025-12-04T09:41:07.1548388Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:07.1549040Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:07.1549613Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:41:07.154799][2750.655143248], took 0.00min
2025-12-04T09:41:07.1768173Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:41:07.176665][2750.677007508]
2025-12-04T09:41:07.1768694Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:07.1769168Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:07.1769763Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:41:07.176827][2750.677170602], took 0.00min
2025-12-04T09:41:07.1994475Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:41:07.199299][2750.699641528]
2025-12-04T09:41:07.1995004Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:07.1995459Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:07.1996068Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:41:07.199453][2750.699796912], took 0.00min
2025-12-04T09:41:07.2202411Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:41:07.220100][2750.720442483]
2025-12-04T09:41:07.2203877Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:07.2204282Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:07.2204844Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:41:07.220251][2750.720595559], took 0.00min
2025-12-04T09:41:12.3834401Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:41:12.382999][2755.883335549]
2025-12-04T09:41:12.3835074Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:12.3835500Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:12.3836064Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:41:12.383275][2755.883613516], took 0.00min
2025-12-04T09:41:12.3946734Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:41:12.394352][2755.894682591]
2025-12-04T09:41:12.3947428Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:12.3948498Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:12.3949073Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:41:12.394713][2755.895051485], took 0.00min
2025-12-04T09:41:12.4133533Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:41:12.413071][2755.913406687]
2025-12-04T09:41:12.4134154Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:12.4134569Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:12.4135158Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:41:12.413300][2755.913642588], took 0.00min
2025-12-04T09:41:18.7860247Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:41:18.785638][2762.28597352]
2025-12-04T09:41:18.7860865Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:18.7861287Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:18.7861870Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:41:18.785870][2762.286213519], took 0.00min
2025-12-04T09:41:18.8025061Z Running cpp/atest 1/1 ... [2025-12-04 09:41:18.802147][2762.302483836]
2025-12-04T09:41:18.8025574Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:18.8025984Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:18.8026547Z Finished cpp/atest 1/1 ... [2025-12-04 09:41:18.802380][2762.302723894], took 0.00min
2025-12-04T09:41:18.8162955Z Running cpp/basic 1/1 ... [2025-12-04 09:41:18.816003][2762.316338939]
2025-12-04T09:41:18.8163391Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:18.8164047Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:18.8164652Z Finished cpp/basic 1/1 ... [2025-12-04 09:41:18.816245][2762.316587146], took 0.00min
2025-12-04T09:41:24.7841804Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:41:24.783754][2768.284091264]
2025-12-04T09:41:24.7842635Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:24.7843053Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:24.7843668Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:41:24.783985][2768.284328702], took 0.00min
2025-12-04T09:41:24.8235879Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:41:24.823272][2768.3236094]
2025-12-04T09:41:24.8236792Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:24.8237338Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:24.8237919Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:41:24.823517][2768.32385829], took 0.00min
2025-12-04T09:41:24.8406735Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:41:24.840371][2768.340708347]
2025-12-04T09:41:24.8407728Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:24.8408166Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:24.8408768Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:41:24.840587][2768.340930362], took 0.00min
2025-12-04T09:41:30.5544705Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:41:30.554110][2774.054445843]
2025-12-04T09:41:30.5545372Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:30.5545776Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:30.5546408Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:41:30.554327][2774.05467047], took 0.00min
2025-12-04T09:41:30.5608313Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:41:30.560614][2774.060951214]
2025-12-04T09:41:30.5608825Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:30.5609580Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:30.5610226Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:41:30.560851][2774.061191572], took 0.00min
2025-12-04T09:41:30.5830246Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:41:30.582770][2774.083105516]
2025-12-04T09:41:30.5830837Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:30.5831272Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:30.5831896Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:41:30.582996][2774.083338285], took 0.00min
2025-12-04T09:41:36.2945281Z Running cpp/native_test 1/1 ... [2025-12-04 09:41:36.294122][2779.794457927]
2025-12-04T09:41:36.2946028Z Running cpp/operators_test 1/1 ... [2025-12-04 09:41:36.294156][2779.794493429]
2025-12-04T09:41:36.2946518Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:36.2946836Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:36.2947238Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:36.2947749Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:36.2948322Z Finished cpp/native_test 1/1 ... [2025-12-04 09:41:36.294373][2779.794714037], took 0.00min
2025-12-04T09:41:36.2948966Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:41:36.294399][2779.794740765], took 0.00min
2025-12-04T09:41:36.3040556Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:41:36.303805][2779.804141956]
2025-12-04T09:41:36.3041047Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:36.3041780Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:36.3042443Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:41:36.304050][2779.804391518], took 0.00min
2025-12-04T09:41:42.1130844Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:41:42.112671][2785.613008034]
2025-12-04T09:41:42.1131410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:42.1131817Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:42.1132395Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:41:42.112910][2785.613253007], took 0.00min
2025-12-04T09:41:42.1206062Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:41:42.120382][2785.620717741]
2025-12-04T09:41:42.1206572Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:42.1207451Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:42.1208067Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:41:42.120628][2785.620969687], took 0.00min
2025-12-04T09:41:42.1277119Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:41:42.127517][2785.627854083]
2025-12-04T09:41:42.1277628Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:42.1278496Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:42.1279114Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:41:42.127746][2785.628087513], took 0.00min
2025-12-04T09:41:48.0481738Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:41:48.047740][2791.548076623]
2025-12-04T09:41:48.0482239Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:41:48.0482645Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:41:48.0483229Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:41:48.048006][2791.548347429], took 0.00min
2025-12-04T09:41:49.0327841Z Running test batch 'tests to run' cost 42.66 seconds
2025-12-04T09:41:49.8324453Z + run_if_exists tensor_interop_test
2025-12-04T09:41:49.8324853Z + local test_name=tensor_interop_test
2025-12-04T09:41:49.8325260Z + [[ -x build/bin/tensor_interop_test ]]
2025-12-04T09:41:49.8325749Z + echo 'Warning: tensor_interop_test does not exist.'
2025-12-04T09:41:49.8326210Z Warning: tensor_interop_test does not exist.
2025-12-04T09:41:49.8326556Z + run_if_exists cudnn_test
2025-12-04T09:41:49.8327361Z + local test_name=cudnn_test
2025-12-04T09:41:49.8327676Z + [[ -x build/bin/cudnn_test ]]
2025-12-04T09:41:49.8328049Z + echo 'Warning: cudnn_test does not exist.'
2025-12-04T09:41:49.8328385Z Warning: cudnn_test does not exist.
2025-12-04T09:41:49.8328741Z + run_if_exists cuda_generator_test
2025-12-04T09:41:49.8329177Z + local test_name=cuda_generator_test
2025-12-04T09:41:49.8329522Z + [[ -x build/bin/cuda_generator_test ]]
2025-12-04T09:41:49.8330017Z + echo 'Warning: cuda_generator_test does not exist.'
2025-12-04T09:41:49.8330540Z Warning: cuda_generator_test does not exist.
2025-12-04T09:41:49.8331016Z + run_if_exists apply_test
2025-12-04T09:41:49.8331296Z + local test_name=apply_test
2025-12-04T09:41:49.8331622Z + [[ -x build/bin/apply_test ]]
2025-12-04T09:41:49.8332165Z + echo 'Warning: apply_test does not exist.'
2025-12-04T09:41:49.8332564Z Warning: apply_test does not exist.
2025-12-04T09:41:49.8332952Z + run_if_exists stream_test
2025-12-04T09:41:49.8333336Z + local test_name=stream_test
2025-12-04T09:41:49.8333664Z + [[ -x build/bin/stream_test ]]
2025-12-04T09:41:49.8334057Z + echo 'Warning: stream_test does not exist.'
2025-12-04T09:41:49.8334439Z Warning: stream_test does not exist.
2025-12-04T09:41:49.8334797Z + run_if_exists cuda_half_test
2025-12-04T09:41:49.8335125Z + local test_name=cuda_half_test
2025-12-04T09:41:49.8335422Z + [[ -x build/bin/cuda_half_test ]]
2025-12-04T09:41:49.8335807Z + echo 'Warning: cuda_half_test does not exist.'
2025-12-04T09:41:49.8336216Z Warning: cuda_half_test does not exist.
2025-12-04T09:41:49.8336614Z + run_if_exists cuda_vectorized_test
2025-12-04T09:41:49.8337013Z + local test_name=cuda_vectorized_test
2025-12-04T09:41:49.8337400Z + [[ -x build/bin/cuda_vectorized_test ]]
2025-12-04T09:41:49.8337865Z + echo 'Warning: cuda_vectorized_test does not exist.'
2025-12-04T09:41:49.8338344Z Warning: cuda_vectorized_test does not exist.
2025-12-04T09:41:49.8338756Z + run_if_exists cuda_distributions_test
2025-12-04T09:41:49.8339252Z + local test_name=cuda_distributions_test
2025-12-04T09:41:49.8339652Z + [[ -x build/bin/cuda_distributions_test ]]
2025-12-04T09:41:49.8340053Z + echo 'Warning: cuda_distributions_test does not exist.'
2025-12-04T09:41:49.8340592Z Warning: cuda_distributions_test does not exist.
2025-12-04T09:41:49.8341034Z + run_if_exists cuda_optional_test
2025-12-04T09:41:49.8341408Z + local test_name=cuda_optional_test
2025-12-04T09:41:49.8341793Z + [[ -x build/bin/cuda_optional_test ]]
2025-12-04T09:41:49.8342252Z + echo 'Warning: cuda_optional_test does not exist.'
2025-12-04T09:41:49.8342657Z Warning: cuda_optional_test does not exist.
2025-12-04T09:41:49.8343095Z + run_if_exists cuda_tensor_interop_test
2025-12-04T09:41:49.8343614Z + local test_name=cuda_tensor_interop_test
2025-12-04T09:41:49.8343986Z + [[ -x build/bin/cuda_tensor_interop_test ]]
2025-12-04T09:41:49.8344398Z + echo 'Warning: cuda_tensor_interop_test does not exist.'
2025-12-04T09:41:49.8344879Z Warning: cuda_tensor_interop_test does not exist.
2025-12-04T09:41:49.8345269Z + run_if_exists cuda_complex_test
2025-12-04T09:41:49.8345606Z + local test_name=cuda_complex_test
2025-12-04T09:41:49.8345924Z + [[ -x build/bin/cuda_complex_test ]]
2025-12-04T09:41:49.8346305Z + echo 'Warning: cuda_complex_test does not exist.'
2025-12-04T09:41:49.8346714Z Warning: cuda_complex_test does not exist.
2025-12-04T09:41:49.8347103Z + run_if_exists cuda_complex_math_test
2025-12-04T09:41:49.8347429Z + local test_name=cuda_complex_math_test
2025-12-04T09:41:49.8347814Z + [[ -x build/bin/cuda_complex_math_test ]]
2025-12-04T09:41:49.8348218Z + echo 'Warning: cuda_complex_math_test does not exist.'
2025-12-04T09:41:49.8348689Z Warning: cuda_complex_math_test does not exist.
2025-12-04T09:41:49.8349062Z + run_if_exists cuda_cub_test
2025-12-04T09:41:49.8349350Z + local test_name=cuda_cub_test
2025-12-04T09:41:49.8349651Z + [[ -x build/bin/cuda_cub_test ]]
2025-12-04T09:41:49.8349966Z + echo 'Warning: cuda_cub_test does not exist.'
2025-12-04T09:41:49.8350356Z Warning: cuda_cub_test does not exist.
2025-12-04T09:41:49.8350806Z + run_if_exists cuda_atomic_ops_test
2025-12-04T09:41:49.8351131Z + local test_name=cuda_atomic_ops_test
2025-12-04T09:41:49.8351452Z + [[ -x build/bin/cuda_atomic_ops_test ]]
2025-12-04T09:41:49.8351828Z + echo 'Warning: cuda_atomic_ops_test does not exist.'
2025-12-04T09:41:49.8352221Z Warning: cuda_atomic_ops_test does not exist.
2025-12-04T09:41:49.8352554Z + run_if_exists cuda_allocator_test
2025-12-04T09:41:49.8352867Z + local test_name=cuda_allocator_test
2025-12-04T09:41:49.8353187Z + [[ -x build/bin/cuda_allocator_test ]]
2025-12-04T09:41:49.8353540Z + echo 'Warning: cuda_allocator_test does not exist.'
2025-12-04T09:41:49.8353937Z Warning: cuda_allocator_test does not exist.
2025-12-04T09:41:49.8354259Z + '[' OFF == ON ']'
2025-12-04T09:41:49.8363477Z + [[ -n '' ]]
2025-12-04T09:41:49.8363921Z + assert_git_not_dirty
2025-12-04T09:41:49.8364252Z + [[ linux-jammy-py3.10-clang18-asan != *rocm* ]]
2025-12-04T09:41:49.8364651Z + [[ linux-jammy-py3.10-clang18-asan != *xla* ]]
2025-12-04T09:41:49.8369872Z ++ git status --porcelain
2025-12-04T09:41:49.8371296Z ++ grep -v '?? third_party'
2025-12-04T09:41:50.5753920Z ++ true
2025-12-04T09:41:50.5754176Z + git_status=
2025-12-04T09:41:50.5754477Z + [[ -n '' ]]
2025-12-04T09:41:50.5760349Z + test_libtorch 1
2025-12-04T09:41:50.5778613Z + local SHARD=1
2025-12-04T09:41:50.5778909Z + [[ slow != \s\l\o\w ]]
2025-12-04T09:41:50.5779234Z + [[ linux-jammy-py3.10-clang18-asan == *xpu* ]]
2025-12-04T09:41:50.5866591Z + sccache_epilogue
2025-12-04T09:41:50.5866889Z + echo '::group::Sccache Compilation Log'
2025-12-04T09:41:50.5867563Z ##[group]Sccache Compilation Log
2025-12-04T09:41:50.5867925Z + echo '=================== sccache compilation log ==================='
2025-12-04T09:41:50.5868342Z =================== sccache compilation log ===================
2025-12-04T09:41:50.5869014Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-12-04T09:41:50.6068136Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-12-04T09:41:50.6068935Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-12-04T09:41:50.6069444Z + sccache --show-stats
2025-12-04T09:41:50.6134105Z Compile requests                     312
2025-12-04T09:41:50.6134533Z Compile requests executed             59
2025-12-04T09:41:50.6134914Z Cache hits                            22
2025-12-04T09:41:50.6135250Z Cache hits (C/C++)                    22
2025-12-04T09:41:50.6135613Z Cache misses                          37
2025-12-04T09:41:50.6135930Z Cache misses (C/C++)                  37
2025-12-04T09:41:50.6136252Z Cache hits rate                    37.29 %
2025-12-04T09:41:50.6136565Z Cache hits rate (C/C++)            37.29 %
2025-12-04T09:41:50.6136898Z Cache timeouts                         0
2025-12-04T09:41:50.6137215Z Cache read errors                      0
2025-12-04T09:41:50.6137529Z Forced recaches                        0
2025-12-04T09:41:50.6137839Z Cache write errors                     0
2025-12-04T09:41:50.6138152Z Cache errors                           0
2025-12-04T09:41:50.6138465Z Compilations                          37
2025-12-04T09:41:50.6138774Z Compilation failures                   0
2025-12-04T09:41:50.6139108Z Non-cacheable compilations             0
2025-12-04T09:41:50.6139439Z Non-cacheable calls                    1
2025-12-04T09:41:50.6139754Z Non-compilation calls                252
2025-12-04T09:41:50.6140085Z Unsupported compiler calls             0
2025-12-04T09:41:50.6140419Z Average cache write                0.039 s
2025-12-04T09:41:50.6140735Z Average compiler                  13.302 s
2025-12-04T09:41:50.6141062Z Average cache read hit             0.072 s
2025-12-04T09:41:50.6141405Z Failed distributed compilations        0
2025-12-04T09:41:50.6141629Z 
2025-12-04T09:41:50.6141738Z Non-cacheable reasons:
2025-12-04T09:41:50.6141987Z -                                      1
2025-12-04T09:41:50.6142444Z 
2025-12-04T09:41:50.6142676Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-12-04T09:41:50.6143144Z Version (client)                0.10.0
2025-12-04T09:41:50.6145066Z + sccache --stop-server
2025-12-04T09:41:50.6199818Z Stopping sccache server...
2025-12-04T09:41:50.6204098Z Compile requests                     312
2025-12-04T09:41:50.6204443Z Compile requests executed             59
2025-12-04T09:41:50.6204820Z Cache hits                            22
2025-12-04T09:41:50.6205152Z Cache hits (C/C++)                    22
2025-12-04T09:41:50.6205590Z Cache misses                          37
2025-12-04T09:41:50.6205893Z Cache misses (C/C++)                  37
2025-12-04T09:41:50.6206237Z Cache hits rate                    37.29 %
2025-12-04T09:41:50.6206783Z Cache hits rate (C/C++)            37.29 %
2025-12-04T09:41:50.6207191Z Cache timeouts                         0
2025-12-04T09:41:50.6207492Z Cache read errors                      0
2025-12-04T09:41:50.6207815Z Forced recaches                        0
2025-12-04T09:41:50.6208132Z Cache write errors                     0
2025-12-04T09:41:50.6208435Z Cache errors                           0
2025-12-04T09:41:50.6208747Z Compilations                          37
2025-12-04T09:41:50.6209067Z Compilation failures                   0
2025-12-04T09:41:50.6209388Z Non-cacheable compilations             0
2025-12-04T09:41:50.6209717Z Non-cacheable calls                    1
2025-12-04T09:41:50.6210042Z Non-compilation calls                252
2025-12-04T09:41:50.6210365Z Unsupported compiler calls             0
2025-12-04T09:41:50.6210699Z Average cache write                0.039 s
2025-12-04T09:41:50.6211029Z Average compiler                  13.302 s
2025-12-04T09:41:50.6211359Z Average cache read hit             0.072 s
2025-12-04T09:41:50.6211693Z Failed distributed compilations        0
2025-12-04T09:41:50.6211929Z 
2025-12-04T09:41:50.6212026Z Non-cacheable reasons:
2025-12-04T09:41:50.6212285Z -                                      1
2025-12-04T09:41:50.6212492Z 
2025-12-04T09:41:50.6212724Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-12-04T09:41:50.6213184Z Version (client)                0.10.0
2025-12-04T09:41:50.6215551Z + echo ::endgroup::
2025-12-04T09:41:50.6216086Z ##[endgroup]
2025-12-04T09:41:50.6216320Z + cleanup_workspace
2025-12-04T09:41:50.6216878Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-12-04T09:41:50.6217690Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-12-04T09:41:50.6218333Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-12-04T09:41:50.6218796Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-12-04T09:41:50.6219348Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-12-04T09:41:50.6219954Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-12-04T09:41:50.6220441Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-12-04T09:41:51.2340462Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-12-04T09:41:51.2340967Z with:
2025-12-04T09:41:51.2341220Z   benchmark-results-dir: test/test-reports
2025-12-04T09:41:51.2341535Z   dry-run: false
2025-12-04T09:41:51.2341769Z   schema-version: v3
2025-12-04T09:41:51.2342215Z   github-token: ***
2025-12-04T09:41:51.2342454Z env:
2025-12-04T09:41:51.2342653Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:51.2342926Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:51.2343398Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:51.2343910Z ##[endgroup]
2025-12-04T09:41:51.2360853Z ##[group]Run set -eux
2025-12-04T09:41:51.2361132Z set -eux
2025-12-04T09:41:51.2361358Z 
2025-12-04T09:41:51.2361560Z if [[ -n "" ]]; then
2025-12-04T09:41:51.2361838Z   source ""
2025-12-04T09:41:51.2362225Z fi
2025-12-04T09:41:51.2362619Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-12-04T09:41:51.2363043Z 
2025-12-04T09:41:51.2363259Z DEVICE_NAME=""
2025-12-04T09:41:51.2363519Z DEVICE_TYPE=""
2025-12-04T09:41:51.2363768Z 
2025-12-04T09:41:51.2363989Z if command -v nvidia-smi; then
2025-12-04T09:41:51.2364455Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-12-04T09:41:51.2365055Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-12-04T09:41:51.2365598Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-12-04T09:41:51.2366035Z   python3 -mpip install torch==2.7.1
2025-12-04T09:41:51.2366385Z elif command -v rocminfo; then
2025-12-04T09:41:51.2366835Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-12-04T09:41:51.2367517Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-12-04T09:41:51.2368104Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-12-04T09:41:51.2368613Z   # GPU device name coming from rocminfo instead
2025-12-04T09:41:51.2368972Z   DEVICE_NAME=rocm
2025-12-04T09:41:51.2369472Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-12-04T09:41:51.2369996Z fi
2025-12-04T09:41:51.2370209Z 
2025-12-04T09:41:51.2370468Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-12-04T09:41:51.2370889Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-12-04T09:41:51.2379859Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:41:51.2380234Z env:
2025-12-04T09:41:51.2380447Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:51.2380715Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:51.2381172Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:51.2381718Z ##[endgroup]
2025-12-04T09:41:51.2411514Z + [[ -n '' ]]
2025-12-04T09:41:51.2411889Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-12-04T09:41:51.6652209Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T09:41:52.7900791Z Collecting boto3==1.35.33
2025-12-04T09:41:52.8078329Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-12-04T09:41:53.1312227Z Collecting psutil==7.0.0
2025-12-04T09:41:53.1347160Z   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)
2025-12-04T09:41:53.1627985Z Collecting pynvml==12.0.0
2025-12-04T09:41:53.1657747Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-12-04T09:41:53.1735032Z 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)
2025-12-04T09:41:53.2138227Z Collecting s3transfer<0.11.0,>=0.10.0
2025-12-04T09:41:53.2168771Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-12-04T09:41:54.3882143Z Collecting botocore<1.36.0,>=1.35.33
2025-12-04T09:41:54.3915587Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-12-04T09:41:54.5780566Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-12-04T09:41:54.5812587Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-12-04T09:41:54.5913146Z 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)
2025-12-04T09:41:54.5919052Z 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)
2025-12-04T09:41:54.7271362Z 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)
2025-12-04T09:41:54.8653301Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-12-04T09:41:55.3534329Z   Attempting uninstall: nvidia-ml-py
2025-12-04T09:41:55.3535367Z     Found existing installation: nvidia-ml-py 11.525.84
2025-12-04T09:41:55.3555450Z     Uninstalling nvidia-ml-py-11.525.84:
2025-12-04T09:41:55.3769526Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-12-04T09:41:55.4426292Z   Attempting uninstall: psutil
2025-12-04T09:41:55.4427227Z     Found existing installation: psutil 5.9.8
2025-12-04T09:41:55.4503067Z     Uninstalling psutil-5.9.8:
2025-12-04T09:41:55.4509846Z       Successfully uninstalled psutil-5.9.8
2025-12-04T09:41:55.6236870Z 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
2025-12-04T09:41:55.7386803Z + DEVICE_NAME=
2025-12-04T09:41:55.7387059Z + DEVICE_TYPE=
2025-12-04T09:41:55.7387294Z + command -v nvidia-smi
2025-12-04T09:41:55.7387551Z + command -v rocminfo
2025-12-04T09:41:55.7387826Z + echo DEVICE_NAME=
2025-12-04T09:41:55.7388072Z + echo DEVICE_TYPE=
2025-12-04T09:41:55.7408784Z ##[group]Run set -eux
2025-12-04T09:41:55.7409058Z set -eux
2025-12-04T09:41:55.7409280Z 
2025-12-04T09:41:55.7409507Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-12-04T09:41:55.7409867Z   echo "Missing github-token input"
2025-12-04T09:41:55.7410193Z   exit 1
2025-12-04T09:41:55.7410409Z fi
2025-12-04T09:41:55.7416764Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:41:55.7417154Z env:
2025-12-04T09:41:55.7417375Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:55.7417637Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:55.7418109Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:55.7418636Z   DEVICE_NAME: 
2025-12-04T09:41:55.7418861Z   DEVICE_TYPE: 
2025-12-04T09:41:55.7419291Z   GITHUB_TOKEN: ***
2025-12-04T09:41:55.7419534Z ##[endgroup]
2025-12-04T09:41:55.7442602Z + [[ -z *** ]]
2025-12-04T09:41:55.7484031Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-12-04T09:41:55.7484478Z with:
2025-12-04T09:41:55.7484838Z   github-token: ***
2025-12-04T09:41:55.7485058Z env:
2025-12-04T09:41:55.7485269Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:55.7485540Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:55.7485996Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:55.7486522Z   DEVICE_NAME: 
2025-12-04T09:41:55.7486745Z   DEVICE_TYPE: 
2025-12-04T09:41:55.7487047Z ##[endgroup]
2025-12-04T09:41:55.7500715Z ##[group]Run set -eux
2025-12-04T09:41:55.7500969Z set -eux
2025-12-04T09:41:55.7501195Z 
2025-12-04T09:41:55.7501691Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-12-04T09:41:55.7507339Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:41:55.7507723Z env:
2025-12-04T09:41:55.7507951Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:55.7508223Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:55.7508816Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:55.7509343Z   DEVICE_NAME: 
2025-12-04T09:41:55.7509568Z   DEVICE_TYPE: 
2025-12-04T09:41:55.7509925Z   GITHUB_TOKEN: ***
2025-12-04T09:41:55.7510157Z ##[endgroup]
2025-12-04T09:41:55.7546975Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922773007 i-0432f28cd9c38fe5d
2025-12-04T09:41:56.6518411Z setting job-id=57116443104
2025-12-04T09:41:56.6519064Z setting job-name=linux-jammy-py3.10-clang18-asan / test (slow, 1, 3, lf.linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:41:56.6634717Z ##[group]Run set -eux
2025-12-04T09:41:56.6634997Z set -eux
2025-12-04T09:41:56.6635222Z 
2025-12-04T09:41:56.6635427Z if [[ -n "" ]]; then
2025-12-04T09:41:56.6635879Z   source ""
2025-12-04T09:41:56.6636122Z fi
2025-12-04T09:41:56.6636324Z 
2025-12-04T09:41:56.6636736Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-12-04T09:41:56.6637278Z   --schema-version "${SCHEMA_VERSION}" \
2025-12-04T09:41:56.6637619Z   --repo "${REPO}" \
2025-12-04T09:41:56.6637930Z   --head-branch "${HEAD_BRANCH}" \
2025-12-04T09:41:56.6638270Z   --head-sha "${HEAD_SHA}" \
2025-12-04T09:41:56.6638609Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-12-04T09:41:56.6638954Z   --run-attempt "${RUN_ATTEMPT}" \
2025-12-04T09:41:56.6639290Z   --job-id "${JOB_ID}" \
2025-12-04T09:41:56.6639603Z   --job-name "${JOB_NAME}"
2025-12-04T09:41:56.6645339Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:41:56.6645728Z env:
2025-12-04T09:41:56.6645953Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:56.6646221Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:56.6646713Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:56.6647347Z   DEVICE_NAME: 
2025-12-04T09:41:56.6647581Z   DEVICE_TYPE: 
2025-12-04T09:41:56.6647796Z   SCHEMA_VERSION: v3
2025-12-04T09:41:56.6648056Z   REPO: pytorch/pytorch
2025-12-04T09:41:56.6648329Z   HEAD_BRANCH: refs/heads/main
2025-12-04T09:41:56.6648650Z   HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:41:56.6649014Z   WORKFLOW_RUN_ID: 19922773007
2025-12-04T09:41:56.6649282Z   RUN_ATTEMPT: 1
2025-12-04T09:41:56.6649497Z   JOB_ID: 57116443104
2025-12-04T09:41:56.6649981Z   JOB_NAME: linux-jammy-py3.10-clang18-asan / test (slow, 1, 3, lf.linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:41:56.6650532Z ##[endgroup]
2025-12-04T09:41:56.6673344Z + [[ -n '' ]]
2025-12-04T09:41:56.6675665Z + 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 57116443104 --job-name 'linux-jammy-py3.10-clang18-asan / test (slow, 1, 3, lf.linux.4xlarge, rerun_disabled_tests)'
2025-12-04T09:41:56.6982336Z ##[group]Run set -eux
2025-12-04T09:41:56.6982605Z set -eux
2025-12-04T09:41:56.6982831Z 
2025-12-04T09:41:56.6983034Z if [[ -n "" ]]; then
2025-12-04T09:41:56.6983311Z   source ""
2025-12-04T09:41:56.6983544Z fi
2025-12-04T09:41:56.6983739Z 
2025-12-04T09:41:56.6984268Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-12-04T09:41:56.6989738Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:41:56.6990123Z env:
2025-12-04T09:41:56.6990328Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:56.6990600Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:56.6991070Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:56.6991753Z   DEVICE_NAME: 
2025-12-04T09:41:56.6991987Z   DEVICE_TYPE: 
2025-12-04T09:41:56.6992212Z ##[endgroup]
2025-12-04T09:41:56.7013595Z + [[ -n '' ]]
2025-12-04T09:41:56.7014455Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-12-04T09:41:56.7407759Z INFO:root:Fail to import torch to get the device name
2025-12-04T09:41:56.7502569Z ##[group]Run set -eux
2025-12-04T09:41:56.7502831Z set -eux
2025-12-04T09:41:56.7503060Z 
2025-12-04T09:41:56.7503311Z # TODO (huydhn): Implement this part
2025-12-04T09:41:56.7503695Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:41:56.7509654Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:41:56.7510042Z env:
2025-12-04T09:41:56.7510247Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:56.7510647Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:56.7511126Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:56.7511651Z   DEVICE_NAME: 
2025-12-04T09:41:56.7511863Z   DEVICE_TYPE: 
2025-12-04T09:41:56.7512083Z ##[endgroup]
2025-12-04T09:41:56.7533415Z + echo 'dependencies={}'
2025-12-04T09:41:56.7553276Z ##[group]Run set -eux
2025-12-04T09:41:56.7553553Z set -eux
2025-12-04T09:41:56.7553778Z 
2025-12-04T09:41:56.7553999Z if [[ -n "" ]]; then
2025-12-04T09:41:56.7554261Z   source ""
2025-12-04T09:41:56.7554497Z fi
2025-12-04T09:41:56.7554707Z 
2025-12-04T09:41:56.7554957Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-12-04T09:41:56.7555409Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-12-04T09:41:56.7555909Z   # We don't want the job to fail if the directory doesn't exist
2025-12-04T09:41:56.7556301Z   exit 0
2025-12-04T09:41:56.7556541Z fi
2025-12-04T09:41:56.7556747Z 
2025-12-04T09:41:56.7556995Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-12-04T09:41:56.7557473Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-12-04T09:41:56.7558049Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-12-04T09:41:56.7558484Z     --metadata "${BENCHMARK_METADATA}" \
2025-12-04T09:41:56.7558833Z     --runners "${RUNNER_INFO}" \
2025-12-04T09:41:56.7559185Z     --dependencies "${DEPENDENCIES}" \
2025-12-04T09:41:56.7559522Z     --dry-run
2025-12-04T09:41:56.7559775Z else
2025-12-04T09:41:56.7560146Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-12-04T09:41:56.7560711Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-12-04T09:41:56.7561143Z     --metadata "${BENCHMARK_METADATA}" \
2025-12-04T09:41:56.7561493Z     --runners "${RUNNER_INFO}" \
2025-12-04T09:41:56.7561844Z     --dependencies "${DEPENDENCIES}"
2025-12-04T09:41:56.7562161Z fi
2025-12-04T09:41:56.7567420Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:41:56.7567806Z env:
2025-12-04T09:41:56.7568019Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:56.7568286Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:56.7568739Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:56.7569263Z   DEVICE_NAME: 
2025-12-04T09:41:56.7569483Z   DEVICE_TYPE: 
2025-12-04T09:41:56.7569727Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-12-04T09:41:56.7570047Z   DRY_RUN: false
2025-12-04T09:41:56.7571490Z   BENCHMARK_METADATA: {"timestamp": 1764841316, "schema_version": "v3", "name": "linux-jammy-py3.10-clang18-asan / test (slow, 1, 3, lf.linux.4xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922773007, "run_attempt": 1, "job_id": 57116443104}
2025-12-04T09:41:56.7573513Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-41-136.ec2.internal"}, "name": "", "type": ""}]
2025-12-04T09:41:56.7574176Z   DEPENDENCIES: {}
2025-12-04T09:41:56.7574395Z ##[endgroup]
2025-12-04T09:41:56.7595438Z + [[ -n '' ]]
2025-12-04T09:41:56.7595704Z + [[ ! -d test/test-reports ]]
2025-12-04T09:41:56.7595992Z + [[ false == \t\r\u\e ]]
2025-12-04T09:41:56.7599097Z + 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": 1764841316, "schema_version": "v3", "name": "linux-jammy-py3.10-clang18-asan / test (slow, 1, 3, lf.linux.4xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922773007, "run_attempt": 1, "job_id": 57116443104}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-41-136.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-12-04T09:41:56.8986484Z /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-bc584d9e34b8c22156e2.json is not a benchmark record, skipping
2025-12-04T09:41:56.8988239Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T09:41:56.9070930Z /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': 'inductor/test_kernel_benchmark'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'inductor/test_group_batch_fusion'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_smoke'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_custom_lowering'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'inductor/test_binary_folding'}, {'test_file': 'inductor/test_mkldnn_pattern_matcher'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'inductor/test_layout_optim'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'inductor/test_mmdecomp'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_cuda_select_algorithm'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'inductor/test_cutlass_backend'}, {'test_file': 'inductor/test_triton_cpu_backend'}, {'test_file': 'inductor/test_torchinductor_strided_blocks'}, {'test_file': 'test_custom_ops'}, {'test_file': 'test_content_store'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_deterministic'}, {'test_file': 'inductor/test_multi_kernel'}, {'test_file': 'inductor/test_analysis'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'inductor/test_triton_syntax'}, {'test_file': 'inductor/test_triton_extension_backend'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'inductor/test_subgraph_choice'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'inductor/test_triton_heuristics'}, {'test_file': 'inductor/test_cutedsl_grouped_mm'}, {'test_file': 'inductor/test_cpp_wrapper_hipify'}, {'test_file': 'export/test_retraceability'}, {'test_file': 'inductor/test_ck_backend'}, {'test_file': 'inductor/test_inductor_utils'}, {'test_file': 'inductor/test_template_heuristics_registry'}, {'test_file': 'inductor/test_async_compile'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'export/test_export_training_ir_to_run_decomp'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'inductor/test_utils'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'inductor/test_inductor_annotations'}, {'test_file': 'inductor/test_compile_worker'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'inductor/test_external_callables'}, {'test_file': 'test_testing'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'export/test_strict_export_v2'}, {'test_file': 'inductor/test_flex_flash'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'inductor/test_segmented_tree'}, {'test_file': 'inductor/test_kernel_optimization'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'export/test_unflatten_training_ir'}, {'test_file': 'inductor/test_triton_kernels'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'inductor/test_native_matmul'}, {'test_file': 'inductor/test_xpu_basic'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'inductor/test_loop_ordering'}, {'test_file': 'inductor/test_selective_lowering'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'inductor/test_lookup_table'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'export/test_serialize'}, {'test_file': 'inductor/test_cutedsl_template'}, {'test_file': 'inductor/test_benchmark_fusion'}, {'test_file': 'inductor/test_inductor_scheduler'}, {'test_file': 'inductor/test_move_constructors_to_gpu'}, {'test_file': 'export/test_export_strict'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'export/test_serdes'}, {'test_file': 'dynamo/test_regional_inductor'}, {'test_file': 'inductor/test_remote_cache'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'inductor/test_triton_wrapper'}, {'test_file': 'inductor/test_static_cuda_launcher'}, {'test_file': 'export/test_dynamic_shapes'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'inductor/test_provenance_tracing'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'inductor/test_device_assert'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'inductor/test_decompose_mem_bound_mm'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'inductor/test_control_deps'}, {'test_file': 'inductor/test_benchmarking'}, {'test_file': 'inductor/test_helion_kernels'}, {'test_file': 'inductor/test_quantization'}, {'test_file': 'inductor/test_op_dtype_prop'}, {'test_file': 'inductor/test_best_config'}, {'test_file': 'export/test_tools'}, {'test_file': 'inductor/test_compiled_optimizers'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'inductor/test_inplacing_pass'}, {'test_file': 'inductor/test_aot_inductor_custom_ops'}, {'test_file': 'inductor/test_split_cat_fx_passes'}, {'test_file': 'inductor/test_profiler'}, {'test_file': 'inductor/test_memory_planning'}, {'test_file': 'inductor/test_mem_estimation'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'inductor/test_cutlass_evt'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'export/test_cpp_serdes'}, {'test_file': 'inductor/test_cache'}, {'test_file': 'inductor/test_block_analysis'}, {'test_file': 'inductor/test_online_softmax'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'inductor/test_custom_post_grad_passes'}, {'test_file': 'dynamo/test_fx_annotate'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'export/test_package'}, {'test_file': 'export/test_export_opinfo'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'inductor/test_graph_transform_observer'}, {'test_file': 'inductor/test_memory'}, {'test_file': 'inductor/test_aot_inductor_utils'}, {'test_file': 'export/test_db'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'inductor/test_config'}, {'test_file': 'inductor/test_dependencies'}, {'test_file': 'inductor/test_fuzzer'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'inductor/test_control_flow'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'dynamo/test_streams'}, {'test_file': 'inductor/test_compile'}, {'test_file': 'inductor/test_unbacked_symints'}, {'test_file': 'inductor/test_scatter_optimization'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'inductor/test_mix_order_reduction'}, {'test_file': 'inductor/test_ordered_set'}, {'test_file': 'inductor/test_pallas'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'inductor/test_torchinductor_codegen_config_overrides'}, {'test_file': 'export/test_passes'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'inductor/test_codecache'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'inductor/test_alignment'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'dynamo/test_profiler'}, {'test_file': 'dynamo/test_guard_serialization'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'dynamo/test_nested_graph_breaks'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'inductor/test_needs_exact_strides'}, {'test_file': 'inductor/test_auto_functionalize'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'inductor/test_minifier_isolate'}, {'test_file': 'dynamo/test_aot_compile'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'inductor/test_augmented_graph_helper'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'dynamo/test_backward_higher_order_ops'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'dynamo/test_optimizers'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'inductor/test_custom_partitioner_fn'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'inductor/test_efficient_conv_bn_eval'}, {'test_file': 'inductor/test_torchbind'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'export/test_swap'}, {'test_file': 'export/test_unflatten'}, 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{'test_file': 'test_utils'}, {'test_file': 'test_pytree'}, {'test_file': 'test_namedtuple_return_api'}, {'test_file': 'profiler/test_record_function'}, {'test_file': 'test_compile_benchmark_util'}, {'test_file': 'test_set_default_mobile_cpu_allocator'}, {'test_file': 'test_fake_tensor'}, {'test_file': 'test_stateless'}, {'test_file': 'functorch/test_ac'}, {'test_file': 'test_binary_ufuncs'}, {'test_file': 'higher_order_ops/test_print'}, {'test_file': 'test_per_overload_api'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'test_file': 'test_multiprocessing'}, {'test_file': 'test_out_dtype_op'}, {'test_file': 'torch_np/test_ufuncs_basic'}, {'test_file': 'lazy/test_step_closures'}, {'test_file': 'functorch/dim/test_getsetitem'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'test_meta'}, {'test_file': 'test_ops_jit'}, {'test_file': 'test_fx'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_hub'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'test_type_hints'}, {'test_file': 'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'distributions/test_constraints'}, {'test_file': 'test_linalg'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_modules'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'test_numa_binding'}, {'test_file': 'test_pruning_op'}, {'test_file': 'test_autocast'}, {'test_file': 'test_logging'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'nn/test_pruning'}, {'test_file': 'test_monitor'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'torch_np/numpy_tests/core/test_multiarray'}, {'test_file': 'test_itt'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'test_masked'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'test_subclass'}, {'test_file': 'test_import_stats'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'complex_tensor/test_complex_tensor'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'functorch/test_memory_efficient_fusion'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'test_schema_check'}, {'test_file': 'test_tensorboard'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'test_futures'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'nn/test_dropout'}, {'test_file': 'functorch/dim/test_split'}, {'test_file': 'torch_np/numpy_tests/lib/test_type_check'}, {'test_file': 'cpp_extensions/test_libtorch_agnostic'}, {'test_file': 'test_cpp_extensions_stream_and_event'}, {'test_file': 'profiler/test_execution_trace'}, {'test_file': 'test_jit'}, {'test_file': 'test_dispatch'}, {'test_file': 'test_datapipe'}, {'test_file': 'test_numba_integration'}, {'test_file': 'test_functional_optim'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'functorch/test_dims'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'test_scaled_matmul_cuda'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'test_vulkan'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': '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-f3a3e5add27ee818b994.json is not a benchmark record, skipping
2025-12-04T09:41:56.9151605Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T09:41:56.9155567Z /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-0bd7e96b248447e0d389.json is not a benchmark record, skipping
2025-12-04T09:41:56.9159606Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T09:41:56.9231648Z ##[group]Run cat test/**/*_toprint.log || true
2025-12-04T09:41:56.9232084Z cat test/**/*_toprint.log || true
2025-12-04T09:41:56.9237903Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:41:56.9238280Z env:
2025-12-04T09:41:56.9238495Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:56.9238764Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:56.9239221Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:56.9239746Z   DEVICE_NAME: 
2025-12-04T09:41:56.9239967Z   DEVICE_TYPE: 
2025-12-04T09:41:56.9240188Z ##[endgroup]
2025-12-04T09:41:56.9325538Z Test results will be stored in test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-eae6495dfcfd047a.xml
2025-12-04T09:41:56.9326292Z ============================= test session starts ==============================
2025-12-04T09:41:56.9326974Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python
2025-12-04T09:41:56.9327643Z cachedir: .pytest_cache
2025-12-04T09:41:56.9328268Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2025-12-04T09:41:56.9328965Z rootdir: /var/lib/jenkins/workspace
2025-12-04T09:41:56.9329280Z configfile: pytest.ini
2025-12-04T09:41:56.9329912Z 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
2025-12-04T09:41:56.9330617Z collecting ... collected 2 items
2025-12-04T09:41:56.9330973Z stepcurrent: Cannot find last run test, not skipping
2025-12-04T09:41:56.9331342Z Running 0 items in this shard: 
2025-12-04T09:41:56.9331546Z 
2025-12-04T09:41:56.9332174Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-eae6495dfcfd047a.xml -
2025-12-04T09:41:56.9333074Z ============================ no tests ran in 0.02s =============================
2025-12-04T09:41:56.9355731Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-12-04T09:41:56.9356092Z kill "$MONITOR_SCRIPT_PID"
2025-12-04T09:41:56.9361462Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:41:56.9361834Z env:
2025-12-04T09:41:56.9362049Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:56.9362318Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:56.9362775Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:56.9363301Z   DEVICE_NAME: 
2025-12-04T09:41:56.9363525Z   DEVICE_TYPE: 
2025-12-04T09:41:56.9363761Z   MONITOR_SCRIPT_PID: 42751
2025-12-04T09:41:56.9364016Z ##[endgroup]
2025-12-04T09:41:56.9384664Z /home/ec2-user/actions-runner/_work/_temp/d83db873-302b-4268-8a79-f2945dc9392d.sh: line 1: kill: (42751) - No such process
2025-12-04T09:41:56.9394828Z ##[error]Process completed with exit code 1.
2025-12-04T09:41:56.9536234Z Prepare all required actions
2025-12-04T09:41:56.9536650Z Getting action download info
2025-12-04T09:41:57.1085038Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-12-04T09:41:57.3289284Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-12-04T09:41:57.7500050Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-12-04T09:41:57.7500398Z with:
2025-12-04T09:41:57.7500682Z   file-suffix: test-slow-1-3-lf.linux.4xlarge_57116443104
2025-12-04T09:41:57.7501061Z   s3-bucket: gha-artifacts
2025-12-04T09:41:57.7501301Z env:
2025-12-04T09:41:57.7501502Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:57.7501758Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:57.7502219Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:57.7502858Z   DEVICE_NAME: 
2025-12-04T09:41:57.7503075Z   DEVICE_TYPE: 
2025-12-04T09:41:57.7503317Z ##[endgroup]
2025-12-04T09:41:57.7525561Z ##[group]Run # Remove any previous test jsons if they exist
2025-12-04T09:41:57.7526017Z # Remove any previous test jsons if they exist
2025-12-04T09:41:57.7526395Z rm -f test-jsons-*.zip
2025-12-04T09:41:57.7526819Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-12-04T09:41:57.7532616Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:41:57.7532986Z env:
2025-12-04T09:41:57.7533201Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:57.7533474Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:57.7533929Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:57.7534455Z   DEVICE_NAME: 
2025-12-04T09:41:57.7534675Z   DEVICE_TYPE: 
2025-12-04T09:41:57.7534972Z   FILE_SUFFIX: test-slow-1-3-lf.linux.4xlarge_57116443104
2025-12-04T09:41:57.7535336Z ##[endgroup]
2025-12-04T09:41:57.7688699Z   adding: test/test-reports/td_exclusions-bc584d9e34b8c22156e2.json (deflated 16%)
2025-12-04T09:41:57.7689547Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-49b38070bf14ffcf.json (stored 0%)
2025-12-04T09:41:57.7690502Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-4fae5b7c479c6443.json (stored 0%)
2025-12-04T09:41:57.7691555Z   adding: test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-9e71d85d283c031e.json (stored 0%)
2025-12-04T09:41:57.7692670Z   adding: test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-eae6495dfcfd047a.json (stored 0%)
2025-12-04T09:41:57.7693773Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-1756e11b441be30c.json (stored 0%)
2025-12-04T09:41:57.7694935Z   adding: test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-fb5a06508f354e49.json (stored 0%)
2025-12-04T09:41:57.7696185Z   adding: test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-6bb66e6c0588949b.json (stored 0%)
2025-12-04T09:41:57.7697473Z   adding: test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-c05430c2b97ac523.json (stored 0%)
2025-12-04T09:41:57.7698588Z   adding: test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-3c79f54f663c182d.json (stored 0%)
2025-12-04T09:41:57.7699672Z   adding: test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-97286338398f7af0.json (stored 0%)
2025-12-04T09:41:57.7700640Z   adding: test/test-reports/python-pytest/test_extension_utils/test_extension_utils-7d159d7b94331268.json (stored 0%)
2025-12-04T09:41:57.7701590Z   adding: test/test-reports/python-pytest/test_show_pickle/test_show_pickle-d1db7beacae29e45.json (stored 0%)
2025-12-04T09:41:57.7702471Z   adding: test/test-reports/python-pytest/test_torch/test_torch-77ba440e3b3c8bab.json (deflated 98%)
2025-12-04T09:41:57.7703512Z   adding: test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-d859ff475d2b0f06.json (stored 0%)
2025-12-04T09:41:57.7704404Z   adding: test/test-reports/python-pytest/test_utils/test_utils-7c724ceb876aba7c.json (deflated 97%)
2025-12-04T09:41:57.7705371Z   adding: test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-e647a60643e32c27.json (stored 0%)
2025-12-04T09:41:57.7706394Z   adding: test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-5c296efccdd0bb9b.json (deflated 95%)
2025-12-04T09:41:57.7707392Z   adding: test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-d2f35ff205aea11a.json (deflated 97%)
2025-12-04T09:41:57.7708305Z   adding: test/test-reports/python-pytest/test_fx/test_fx-0cc845d7f538f32c.json (deflated 98%)
2025-12-04T09:41:57.7709184Z   adding: test/test-reports/python-pytest/test_fx/test_fx-010afb0ba68a16d0.json (deflated 95%)
2025-12-04T09:41:57.7710094Z   adding: test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-03aec055a2be1821.json (stored 0%)
2025-12-04T09:41:57.7711046Z   adding: test/test-reports/python-pytest/test_autocast/test_autocast-852c12c321c11bae.json (stored 0%)
2025-12-04T09:41:57.7711969Z   adding: test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-706de03b4a3cf5c4.json (stored 0%)
2025-12-04T09:41:57.7712937Z   adding: test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-fa595a310f8cd8aa.json (stored 0%)
2025-12-04T09:41:57.7714003Z   adding: test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-d2e68e4e05be5119.json (stored 0%)
2025-12-04T09:41:57.7715268Z   adding: test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-32a30cc3ef29da14.json (stored 0%)
2025-12-04T09:41:57.7716453Z   adding: test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-c3fd9842f301a0ba.json (stored 0%)
2025-12-04T09:41:57.7717614Z   adding: test/test-reports/python-pytest/test_cpp_extensions_stream_and_event/test_cpp_extensions_stream_and_event-74174d084bdf380e.json (stored 0%)
2025-12-04T09:41:57.7718667Z   adding: test/test-reports/python-pytest/test_dispatch/test_dispatch-332f15e74348d983.json (stored 0%)
2025-12-04T09:41:57.7719581Z   adding: test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-84dc0b2914b7726d.json (stored 0%)
2025-12-04T09:41:57.7720571Z   adding: test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-b30a3d76b5aeaa84.json (stored 0%)
2025-12-04T09:41:57.7721461Z   adding: test/test-reports/python-pytest/test_nn/test_nn-1c948546bafe5a83.json (stored 0%)
2025-12-04T09:41:57.7722403Z   adding: test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-5e18ee8558adbc81.json (stored 0%)
2025-12-04T09:41:57.7723413Z   adding: test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-34c2739fbdc1762d.json (stored 0%)
2025-12-04T09:41:57.7724288Z   adding: test/test-reports/python-pytest/test_native_mha/test_native_mha-7a17e6cb93e7f1b7.json (stored 0%)
2025-12-04T09:41:57.7725248Z   adding: test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-cf0c557d4599d276.json (deflated 97%)
2025-12-04T09:41:57.7726223Z   adding: test/test-reports/python-pytest/test_overrides/test_overrides-a8676b7fb758f691.json (deflated 98%)
2025-12-04T09:41:57.7727224Z   adding: test/test-reports/python-pytest/test_reductions/test_reductions-42b975aa35dcbce7.json (deflated 96%)
2025-12-04T09:41:57.7728145Z   adding: test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-7dc2cc827bf264f5.json (stored 0%)
2025-12-04T09:41:57.7729302Z   adding: test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-5d081f33a2185410.json (deflated 96%)
2025-12-04T09:41:57.7730523Z   adding: test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-88c326a9db53433b.json (stored 0%)
2025-12-04T09:41:57.7731770Z   adding: test/test-reports/python-pytest/test_cpp_extensions_aot_no_ninja/test_cpp_extensions_aot_no_ninja-f9203d8e21d79c7f.json (stored 0%)
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2025-12-04T09:41:57.7857551Z   adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091734.json (deflated 34%)
2025-12-04T09:41:57.7858663Z   adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091758.json (deflated 34%)
2025-12-04T09:41:57.7859538Z   adding: test/test-reports/td_exclusions-0bd7e96b248447e0d389.json (deflated 73%)
2025-12-04T09:41:57.7879441Z ##[group]Run # Remove any previous test reports if they exist
2025-12-04T09:41:57.7879926Z # Remove any previous test reports if they exist
2025-12-04T09:41:57.7880321Z rm -f test-reports-*.zip
2025-12-04T09:41:57.7880799Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-12-04T09:41:57.7886508Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:41:57.7886888Z env:
2025-12-04T09:41:57.7887189Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:57.7887450Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:57.7887928Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:57.7888457Z   DEVICE_NAME: 
2025-12-04T09:41:57.7888695Z   DEVICE_TYPE: 
2025-12-04T09:41:57.7888985Z   FILE_SUFFIX: test-slow-1-3-lf.linux.4xlarge_57116443104
2025-12-04T09:41:57.7889353Z ##[endgroup]
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2025-12-04T09:41:57.8217598Z ##[group]Run # Remove any previous usage logs if they exist
2025-12-04T09:41:57.8218054Z # Remove any previous usage logs if they exist
2025-12-04T09:41:57.8218429Z rm -f logs-*.zip
2025-12-04T09:41:57.8218790Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-12-04T09:41:57.8219317Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-12-04T09:41:57.8225180Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:41:57.8225673Z env:
2025-12-04T09:41:57.8225930Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:57.8226189Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:57.8226803Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:57.8227590Z   DEVICE_NAME: 
2025-12-04T09:41:57.8227856Z   DEVICE_TYPE: 
2025-12-04T09:41:57.8228234Z   FILE_SUFFIX: test-slow-1-3-lf.linux.4xlarge_57116443104
2025-12-04T09:41:57.8228855Z ##[endgroup]
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2025-12-04T09:41:57.8500700Z   adding: test/test-reports/test_xnnpack_integration_1.2_a85810f3fb956ea7_.log (deflated 50%)
2025-12-04T09:41:57.8501550Z   adding: test/test-reports/dynamo.test_dynamic_shapes_2.2_5bce7c7e8c241b5e_.log (deflated 50%)
2025-12-04T09:41:57.8502537Z   adding: test/test-reports/test_decomp_6.13_cf62fc48d743e077_.log (deflated 47%)
2025-12-04T09:41:57.8503656Z   adding: test/test-reports/inductor.test_mkldnn_pattern_matcher_1.2_973d90e565235872_.log (deflated 88%)
2025-12-04T09:41:57.8504531Z   adding: test/test-reports/inductor.test_torchinductor_strided_blocks_1.1_3d7abafc49036446_.log (stored 0%)
2025-12-04T09:41:57.8505395Z   adding: test/test-reports/inductor.test_move_constructors_to_gpu_1.1_52962fb4d2c7bb82_.log (stored 0%)
2025-12-04T09:41:57.8506244Z   adding: test/test-reports/functorch.test_aot_joint_with_descriptors_1.1_97593123868f4b39_.log (deflated 52%)
2025-12-04T09:41:57.8507092Z   adding: test/test-reports/distributions.test_constraints_1.1_98c16c99a55c06b9_.log (deflated 51%)
2025-12-04T09:41:57.8507909Z   adding: test/test-reports/test_functionalization_of_rng_ops_1.1_27eb1db35f831f38_.log (deflated 51%)
2025-12-04T09:41:57.8508792Z   adding: test/test-reports/functorch.test_control_flow_1.1_87c4c66436f446fa_.log (deflated 50%)
2025-12-04T09:41:57.8509598Z   adding: test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_de97996318e153e7_.log (deflated 52%)
2025-12-04T09:41:57.8510544Z   adding: test/test-reports/torch_np.numpy_tests.core.test_multiarray_1.2_0fbc982b0af1ec0b_.log (deflated 52%)
2025-12-04T09:41:57.8511585Z   adding: test/test-reports/torch_np.numpy_tests.core.test_dlpack_1.1_d541118bb97870b6_.log (deflated 52%)
2025-12-04T09:41:57.8512658Z   adding: test/test-reports/torch_np.numpy_tests.lib.test_index_tricks_1.1_a111deea24326e57_.log (deflated 52%)
2025-12-04T09:41:57.8547265Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-12-04T09:41:57.8547790Z # Remove any previous debugging artifacts if they exist
2025-12-04T09:41:57.8548183Z rm -f debug-*.zip
2025-12-04T09:41:57.8548459Z if [ -d 'test/debug' ]; then
2025-12-04T09:41:57.8548814Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-12-04T09:41:57.8549168Z fi
2025-12-04T09:41:57.8555115Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:41:57.8555518Z env:
2025-12-04T09:41:57.8555799Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:57.8556181Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:57.8556636Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:57.8557151Z   DEVICE_NAME: 
2025-12-04T09:41:57.8557357Z   DEVICE_TYPE: 
2025-12-04T09:41:57.8557641Z   FILE_SUFFIX: test-slow-1-3-lf.linux.4xlarge_57116443104
2025-12-04T09:41:57.8557995Z ##[endgroup]
2025-12-04T09:41:57.8639697Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T09:41:57.8640012Z with:
2025-12-04T09:41:57.8640218Z   s3-bucket: gha-artifacts
2025-12-04T09:41:57.8640530Z   s3-prefix: pytorch/pytorch/19922773007/1/artifact

2025-12-04T09:41:57.8640866Z   retention-days: 14
2025-12-04T09:41:57.8641118Z   if-no-files-found: warn
2025-12-04T09:41:57.8641377Z   path: test-jsons-*.zip
2025-12-04T09:41:57.8641612Z   name: artifact
2025-12-04T09:41:57.8641829Z   region: us-east-1
2025-12-04T09:41:57.8642049Z env:
2025-12-04T09:41:57.8642236Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:57.8642494Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:57.8642951Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:57.8643459Z   DEVICE_NAME: 
2025-12-04T09:41:57.8643662Z   DEVICE_TYPE: 
2025-12-04T09:41:57.8643872Z ##[endgroup]
2025-12-04T09:41:58.2160598Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T09:41:58.2161099Z With the provided path, there will be 1 file uploaded
2025-12-04T09:41:58.2161551Z Uploading to s3 prefix: pytorch/pytorch/19922773007/1/artifact
2025-12-04T09:41:58.2201302Z Starting upload of test-jsons-test-slow-1-3-lf.linux.4xlarge_57116443104.zip
2025-12-04T09:41:58.3614547Z Finished upload of test-jsons-test-slow-1-3-lf.linux.4xlarge_57116443104.zip
2025-12-04T09:41:58.3795194Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T09:41:58.3795516Z with:
2025-12-04T09:41:58.3795734Z   s3-bucket: gha-artifacts
2025-12-04T09:41:58.3796186Z   s3-prefix: pytorch/pytorch/19922773007/1/artifact

2025-12-04T09:41:58.3796701Z   retention-days: 14
2025-12-04T09:41:58.3796958Z   if-no-files-found: error
2025-12-04T09:41:58.3797238Z   path: test-reports-*.zip
2025-12-04T09:41:58.3797488Z   name: artifact
2025-12-04T09:41:58.3797713Z   region: us-east-1
2025-12-04T09:41:58.3797937Z env:
2025-12-04T09:41:58.3798130Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:58.3798396Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:58.3798889Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:58.3799402Z   DEVICE_NAME: 
2025-12-04T09:41:58.3799632Z   DEVICE_TYPE: 
2025-12-04T09:41:58.3799852Z ##[endgroup]
2025-12-04T09:41:58.7074142Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T09:41:58.7074906Z With the provided path, there will be 1 file uploaded
2025-12-04T09:41:58.7075370Z Uploading to s3 prefix: pytorch/pytorch/19922773007/1/artifact
2025-12-04T09:41:58.7115397Z Starting upload of test-reports-test-slow-1-3-lf.linux.4xlarge_57116443104.zip
2025-12-04T09:41:58.8410180Z Finished upload of test-reports-test-slow-1-3-lf.linux.4xlarge_57116443104.zip
2025-12-04T09:41:58.8599825Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T09:41:58.8600154Z with:
2025-12-04T09:41:58.8600373Z   s3-bucket: gha-artifacts
2025-12-04T09:41:58.8600695Z   s3-prefix: pytorch/pytorch/19922773007/1/artifact

2025-12-04T09:41:58.8601037Z   retention-days: 14
2025-12-04T09:41:58.8601292Z   if-no-files-found: ignore
2025-12-04T09:41:58.8601563Z   path: logs-*.zip
2025-12-04T09:41:58.8601782Z   name: artifact
2025-12-04T09:41:58.8602011Z   region: us-east-1
2025-12-04T09:41:58.8602235Z env:
2025-12-04T09:41:58.8602434Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:58.8602702Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:58.8603223Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:58.8603752Z   DEVICE_NAME: 
2025-12-04T09:41:58.8603966Z   DEVICE_TYPE: 
2025-12-04T09:41:58.8604197Z ##[endgroup]
2025-12-04T09:41:59.1946855Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T09:41:59.1947326Z With the provided path, there will be 1 file uploaded
2025-12-04T09:41:59.1947791Z Uploading to s3 prefix: pytorch/pytorch/19922773007/1/artifact
2025-12-04T09:41:59.1987388Z Starting upload of logs-test-slow-1-3-lf.linux.4xlarge_57116443104.zip
2025-12-04T09:41:59.3664846Z Finished upload of logs-test-slow-1-3-lf.linux.4xlarge_57116443104.zip
2025-12-04T09:41:59.3851374Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T09:41:59.3851725Z with:
2025-12-04T09:41:59.3851954Z   s3-bucket: gha-artifacts
2025-12-04T09:41:59.3852272Z   s3-prefix: pytorch/pytorch/19922773007/1/artifact

2025-12-04T09:41:59.3852629Z   retention-days: 14
2025-12-04T09:41:59.3852889Z   if-no-files-found: ignore
2025-12-04T09:41:59.3853169Z   path: debug-*.zip
2025-12-04T09:41:59.3853402Z   name: artifact
2025-12-04T09:41:59.3853628Z   region: us-east-1
2025-12-04T09:41:59.3853855Z env:
2025-12-04T09:41:59.3854064Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:59.3854328Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:59.3854786Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:59.3855313Z   DEVICE_NAME: 
2025-12-04T09:41:59.3855534Z   DEVICE_TYPE: 
2025-12-04T09:41:59.3855753Z ##[endgroup]
2025-12-04T09:41:59.7127515Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-12-04T09:41:59.7315299Z ##[group]Run # shellcheck disable=SC2156
2025-12-04T09:41:59.7315690Z # shellcheck disable=SC2156
2025-12-04T09:41:59.7316299Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-12-04T09:41:59.7322338Z shell: /usr/bin/bash -e {0}
2025-12-04T09:41:59.7322634Z env:
2025-12-04T09:41:59.7322851Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:41:59.7323106Z   HAS_NVIDIA_GPU: false
2025-12-04T09:41:59.7323575Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:41:59.7324101Z   DEVICE_NAME: 
2025-12-04T09:41:59.7324327Z   DEVICE_TYPE: 
2025-12-04T09:41:59.7324534Z ##[endgroup]
2025-12-04T09:42:00.0246722Z Prepare all required actions
2025-12-04T09:42:00.0247227Z Getting action download info
2025-12-04T09:42:00.2064413Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548)
2025-12-04T09:42:00.6178924Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-12-04T09:42:00.6179311Z with:
2025-12-04T09:42:00.6179511Z   job_id: 57116443104
2025-12-04T09:42:00.6180002Z   job_name: linux-jammy-py3.10-clang18-asan / test (slow, 1, 3, lf.linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:42:00.6180562Z   workflow_name: slow
2025-12-04T09:42:00.6180945Z   workflow_run_id: 19922773007
2025-12-04T09:42:00.6181228Z   workflow_attempt: 1
2025-12-04T09:42:00.6181471Z env:
2025-12-04T09:42:00.6181672Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:42:00.6181949Z   HAS_NVIDIA_GPU: false
2025-12-04T09:42:00.6182423Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:42:00.6182948Z   DEVICE_NAME: 
2025-12-04T09:42:00.6183214Z   DEVICE_TYPE: 
2025-12-04T09:42:00.6183420Z ##[endgroup]
2025-12-04T09:42:00.6220333Z ##[group]Run actions/setup-python@v6
2025-12-04T09:42:00.6220642Z with:
2025-12-04T09:42:00.6220857Z   python-version: 3.10
2025-12-04T09:42:00.6221100Z   check-latest: false
2025-12-04T09:42:00.6221482Z   token: ***
2025-12-04T09:42:00.6221718Z   update-environment: true
2025-12-04T09:42:00.6222000Z   allow-prereleases: false
2025-12-04T09:42:00.6222257Z   freethreaded: false
2025-12-04T09:42:00.6222499Z env:
2025-12-04T09:42:00.6222712Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:42:00.6222966Z   HAS_NVIDIA_GPU: false
2025-12-04T09:42:00.6223453Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:42:00.6223979Z   DEVICE_NAME: 
2025-12-04T09:42:00.6224190Z   DEVICE_TYPE: 
2025-12-04T09:42:00.6224409Z ##[endgroup]
2025-12-04T09:42:01.0842878Z ##[group]Installed versions
2025-12-04T09:42:01.0852436Z Version 3.10 was not found in the local cache
2025-12-04T09:42:01.1132828Z (node:60196) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
2025-12-04T09:42:01.1133638Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-12-04T09:42:01.4517345Z ##[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
2025-12-04T09:42:01.4683422Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-12-04T09:42:01.4683889Z with:
2025-12-04T09:42:01.4684077Z env:
2025-12-04T09:42:01.4684290Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:42:01.4684561Z   HAS_NVIDIA_GPU: false
2025-12-04T09:42:01.4685023Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:42:01.4685551Z   DEVICE_NAME: 
2025-12-04T09:42:01.4685777Z   DEVICE_TYPE: 
2025-12-04T09:42:01.4685986Z ##[endgroup]
2025-12-04T09:42:01.4701923Z ##[group]Run set -eou pipefail
2025-12-04T09:42:01.4702231Z set -eou pipefail
2025-12-04T09:42:01.4702501Z 
2025-12-04T09:42:01.4703083Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-12-04T09:42:01.4703563Z for _ in $(seq 1440); do
2025-12-04T09:42:01.4703884Z     # Break if no ssh session exists anymore
2025-12-04T09:42:01.4704235Z     if [ "$(who)" = "" ]; then
2025-12-04T09:42:01.4704574Z       break
2025-12-04T09:42:01.4704809Z     fi
2025-12-04T09:42:01.4705033Z     echo "."
2025-12-04T09:42:01.4705287Z     sleep 5
2025-12-04T09:42:01.4705509Z done
2025-12-04T09:42:01.4711064Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:42:01.4711451Z env:
2025-12-04T09:42:01.4711652Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:42:01.4711927Z   HAS_NVIDIA_GPU: false
2025-12-04T09:42:01.4712399Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:42:01.4712915Z   DEVICE_NAME: 
2025-12-04T09:42:01.4713138Z   DEVICE_TYPE: 
2025-12-04T09:42:01.4713363Z ##[endgroup]
2025-12-04T09:42:01.4735595Z Holding runner for 2 hours until all ssh sessions have logged out
2025-12-04T09:42:01.4820758Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T09:42:01.4821412Z # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T09:42:01.4821870Z # shellcheck disable=SC2046
2025-12-04T09:42:01.4822216Z docker stop $(docker ps -q) || true
2025-12-04T09:42:01.4822752Z # Prune all of the docker images
2025-12-04T09:42:01.4823077Z docker system prune -af
2025-12-04T09:42:01.4828478Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:42:01.4828867Z env:
2025-12-04T09:42:01.4829069Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:42:01.4829341Z   HAS_NVIDIA_GPU: false
2025-12-04T09:42:01.4829812Z   DOCKER_CONTAINER_ID: fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:42:01.4830324Z   DEVICE_NAME: 
2025-12-04T09:42:01.4830548Z   DEVICE_TYPE: 
2025-12-04T09:42:01.4830770Z ##[endgroup]
2025-12-04T09:42:12.1141166Z fc93fae4c0cc
2025-12-04T09:42:12.7129128Z Deleted Containers:
2025-12-04T09:42:12.7129663Z fc93fae4c0cccc5d5e1fc814c4fb18a8ae2b21b27034c7e3feeaa6c5402069e4
2025-12-04T09:42:12.7130026Z 
2025-12-04T09:42:15.5619305Z Deleted Images:
2025-12-04T09:42:15.5620555Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:42:15.5622352Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:7e1c24debf12b78c62b7f0a71dfed065e57bf2457fa65b1cbaff63d50a90686e
2025-12-04T09:42:15.5623295Z deleted: sha256:9780dc2f97696fdbf8949c2c8801180dae9765d36920db1a5b02a03b70dec983
2025-12-04T09:42:15.5623964Z deleted: sha256:1655a0e847d205d6634bfbbfce7cd9912d00cbf1b30a6ed00c11c98c90310e81
2025-12-04T09:42:15.5624631Z deleted: sha256:a67515eca06118ad375ea2c65f2cadcae83c750f6457766168f49493e10101a9
2025-12-04T09:42:15.5625279Z deleted: sha256:df50442f3275fd2470632ee3e6315a6279d0c203f58fdbb7e42c4ca8b542aee9
2025-12-04T09:42:15.5625933Z deleted: sha256:7e9b57422da4201165f6c3e6094c0210568d01ac199e7fe62562847f2df7a8f5
2025-12-04T09:42:15.5626591Z deleted: sha256:64aeabfa4aa7e3cc32970c5e7374307d00eb97c7b0d451bbb5f9b81f8eca99d8
2025-12-04T09:42:15.5627520Z deleted: sha256:9bee1f72d410c28bc8e63cb60937d51fa6df12e94168b5e11264c1a8fb7f1e59
2025-12-04T09:42:15.5628396Z deleted: sha256:0b6fcc2e78fe3bb57bd3584a9c4f47fcc3eea644203efaca95ef0e71d68ab994
2025-12-04T09:42:15.5629091Z deleted: sha256:bf3b002c04dff8b78f6c2e826ca4a493cf9d4c749ea600e4b1df886b9623ad39
2025-12-04T09:42:15.5629767Z deleted: sha256:7c97a736df2820cc22dc0bfbbc91156b66c24cffbea5d368f2c1e13a3355605e
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2025-12-04T09:42:15.5680800Z Total reclaimed space: 15.32GB
2025-12-04T09:42:15.5752087Z Post job cleanup.
2025-12-04T09:42:15.5790819Z Post job cleanup.
2025-12-04T09:42:15.7137173Z (node:60296) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
2025-12-04T09:42:15.7138001Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-12-04T09:42:15.7272430Z Post job cleanup.
2025-12-04T09:42:15.7317413Z Post job cleanup.
2025-12-04T09:42:15.8305015Z [command]/usr/bin/git version
2025-12-04T09:42:15.8356178Z git version 2.50.1
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2025-12-04T09:42:15.8397973Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/e66a6741-35d7-4be1-b755-629791062c7a' before making global git config changes
2025-12-04T09:42:15.8398949Z Adding repository directory to the temporary git global config as a safe directory
2025-12-04T09:42:15.8402810Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:42:15.8437939Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-12-04T09:42:15.8466620Z [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' || :"
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2025-12-04T09:42:16.8656316Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T09:42:16.8989694Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
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2025-12-04T09:42:16.9311030Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
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2025-12-04T09:42:16.9356907Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
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2025-12-04T09:42:16.9394596Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
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2025-12-04T09:42:16.9440212Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
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2025-12-04T09:42:16.9518176Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
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2025-12-04T09:42:16.9555616Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-12-04T09:42:16.9580009Z Entering 'third_party/fbgemm'
2025-12-04T09:42:16.9605283Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
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2025-12-04T09:42:16.9644001Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-12-04T09:42:16.9658074Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T09:42:16.9679893Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
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2025-12-04T09:42:16.9723443Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-12-04T09:42:16.9738091Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T09:42:16.9760488Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-12-04T09:42:16.9784525Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T09:42:16.9807709Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-12-04T09:42:16.9821465Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T09:42:16.9843601Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
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2025-12-04T09:42:17.1962425Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
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2025-12-04T09:42:17.4119717Z A job completed hook has been configured by the self-hosted runner administrator
2025-12-04T09:42:17.4133385Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-12-04T09:42:17.4138501Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:42:17.4138894Z ##[endgroup]
2025-12-04T09:42:25.3334115Z Cleaning up orphan processes