2025-12-04T08:51:44.6306657Z Current runner version: '2.330.0'
2025-12-04T08:51:44.6312652Z Runner name: 'i-056227624174a728f'
2025-12-04T08:51:44.6313453Z Runner group name: 'default'
2025-12-04T08:51:44.6314451Z Machine name: 'ip-10-0-52-184'
2025-12-04T08:51:44.6317299Z ##[group]GITHUB_TOKEN Permissions
2025-12-04T08:51:44.6319828Z Contents: read
2025-12-04T08:51:44.6320421Z Metadata: read
2025-12-04T08:51:44.6320916Z ##[endgroup]
2025-12-04T08:51:44.6323123Z Secret source: Actions
2025-12-04T08:51:44.6323981Z Prepare workflow directory
2025-12-04T08:51:44.6950006Z Prepare all required actions
2025-12-04T08:51:44.6990358Z Getting action download info
2025-12-04T08:51:45.0166200Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd)
2025-12-04T08:51:47.1965464Z Download action repository 'pytorch/pytorch@main' (SHA:ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32)
2025-12-04T08:52:01.5468848Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-12-04T08:52:01.8700024Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-12-04T08:52:02.1798065Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-12-04T08:52:02.3522166Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-12-04T08:52:02.5758498Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-12-04T08:52:02.8531781Z Getting action download info
2025-12-04T08:52:02.9894242Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5)
2025-12-04T08:52:03.2369057Z Getting action download info
2025-12-04T08:52:03.3799411Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-12-04T08:52:03.5699747Z Getting action download info
2025-12-04T08:52:03.7126317Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-12-04T08:52:03.9155924Z Getting action download info
2025-12-04T08:52:04.0886581Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32)
2025-12-04T08:52:04.0890781Z ##[group] Inputs
2025-12-04T08:52:04.0891150Z   build-environment: linux-jammy-py3.10-clang12
2025-12-04T08:52:04.0892263Z   test-matrix: {"include": [{"config": "slow", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}
2025-12-04T08:52:04.0893828Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:52:04.0894639Z   sync-tag: 
2025-12-04T08:52:04.0895446Z   timeout-minutes: 240
2025-12-04T08:52:04.0895713Z   use-gha: 
2025-12-04T08:52:04.0895925Z   dashboard-tag: 
2025-12-04T08:52:04.0896175Z   s3-bucket: gha-artifacts
2025-12-04T08:52:04.0896456Z   aws-role-to-assume: 
2025-12-04T08:52:04.0897142Z   disable-monitor: false
2025-12-04T08:52:04.0897486Z   monitor-log-interval: 5
2025-12-04T08:52:04.0897797Z   monitor-data-collect-interval: 1
2025-12-04T08:52:04.0898108Z ##[endgroup]
2025-12-04T08:52:04.0898605Z Complete job name: linux-jammy-py3.10-clang12 / test (slow, 1, 2, linux.2xlarge, rerun_disabled_tests)
2025-12-04T08:52:04.1361082Z A job started hook has been configured by the self-hosted runner administrator
2025-12-04T08:52:04.1461912Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-12-04T08:52:04.1470880Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:52:04.1471788Z ##[endgroup]
2025-12-04T08:52:05.3889612Z Runner Type: linux.2xlarge
2025-12-04T08:52:05.3890103Z Instance Type: c5.2xlarge
2025-12-04T08:52:05.3890381Z AMI Name: unknown
2025-12-04T08:52:05.3914632Z AMI ID: ami-08982f1c5bf93d976
2025-12-04T08:52:10.7272703Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-12-04T08:52:10.7273159Z with:
2025-12-04T08:52:10.7273725Z   github-secret: ***
2025-12-04T08:52:10.7274458Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-12-04T08:52:10.7275246Z   activate-with-label: false
2025-12-04T08:52:10.7275858Z   label: with-ssh
2025-12-04T08:52:10.7276101Z   remove-existing-keys: true
2025-12-04T08:52:10.7276387Z   fail-silently: true
2025-12-04T08:52:10.7276642Z env:
2025-12-04T08:52:10.7276845Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:52:10.7277114Z ##[endgroup]
2025-12-04T08:52:10.8416313Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-12-04T08:52:10.8418223Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-12-04T08:52:10.8661770Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-12-04T08:52:10.8662648Z with:
2025-12-04T08:52:10.8663072Z   no-sudo: true
2025-12-04T08:52:10.8663523Z   submodules: recursive
2025-12-04T08:52:10.8664049Z   fetch-depth: 0
2025-12-04T08:52:10.8664491Z env:
2025-12-04T08:52:10.8664898Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:52:10.8665411Z ##[endgroup]
2025-12-04T08:52:10.8782706Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:52:10.8783684Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:52:10.8793321Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:52:10.8793744Z env:
2025-12-04T08:52:10.8793989Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:52:10.8794300Z ##[endgroup]
2025-12-04T08:52:10.8874887Z ##[group]Run # Use all available CPUs for fetching
2025-12-04T08:52:10.8875717Z # Use all available CPUs for fetching
2025-12-04T08:52:10.8876084Z cd "${GITHUB_WORKSPACE}"
2025-12-04T08:52:10.8876423Z git config --global fetch.parallel 0
2025-12-04T08:52:10.8876821Z git config --global submodule.fetchJobs 0
2025-12-04T08:52:10.8877168Z 
2025-12-04T08:52:10.8877518Z # Clean workspace. The default checkout action should also do this, but
2025-12-04T08:52:10.8878001Z # do it here as well just in case
2025-12-04T08:52:10.8878325Z if [[ -d .git ]]; then
2025-12-04T08:52:10.8878609Z   if [ -z "${NO_SUDO}" ]; then
2025-12-04T08:52:10.8878927Z     sudo git clean -ffdx
2025-12-04T08:52:10.8879210Z   else
2025-12-04T08:52:10.8879461Z     git clean -ffdx
2025-12-04T08:52:10.8879715Z   fi
2025-12-04T08:52:10.8879930Z fi
2025-12-04T08:52:10.8885497Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:52:10.8885870Z env:
2025-12-04T08:52:10.8886099Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:52:10.8886364Z   NO_SUDO: true
2025-12-04T08:52:10.8886597Z ##[endgroup]
2025-12-04T08:52:10.8999844Z ##[group]Run actions/checkout@v4
2025-12-04T08:52:10.9000150Z with:
2025-12-04T08:52:10.9000408Z   ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:52:10.9000738Z   fetch-depth: 0
2025-12-04T08:52:10.9000981Z   submodules: recursive
2025-12-04T08:52:10.9001244Z   show-progress: false
2025-12-04T08:52:10.9001520Z   repository: pytorch/pytorch
2025-12-04T08:52:10.9002044Z   token: ***
2025-12-04T08:52:10.9002293Z   ssh-strict: true
2025-12-04T08:52:10.9002533Z   ssh-user: git
2025-12-04T08:52:10.9002780Z   persist-credentials: true
2025-12-04T08:52:10.9003045Z   clean: true
2025-12-04T08:52:10.9003503Z   sparse-checkout-cone-mode: true
2025-12-04T08:52:10.9003810Z   fetch-tags: false
2025-12-04T08:52:10.9004032Z   lfs: false
2025-12-04T08:52:10.9004266Z   set-safe-directory: true
2025-12-04T08:52:10.9004540Z env:
2025-12-04T08:52:10.9004743Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:52:10.9005004Z ##[endgroup]
2025-12-04T08:52:11.0139496Z Syncing repository: pytorch/pytorch
2025-12-04T08:52:11.0142191Z ##[group]Getting Git version info
2025-12-04T08:52:11.0143041Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-12-04T08:52:11.0144260Z [command]/usr/bin/git version
2025-12-04T08:52:11.0144732Z git version 2.50.1
2025-12-04T08:52:11.0157525Z ##[endgroup]
2025-12-04T08:52:11.0166866Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/feeec455-7792-4134-80ff-e5f6f34fa1fc/.gitconfig'
2025-12-04T08:52:11.0180528Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/feeec455-7792-4134-80ff-e5f6f34fa1fc' before making global git config changes
2025-12-04T08:52:11.0181567Z Adding repository directory to the temporary git global config as a safe directory
2025-12-04T08:52:11.0185521Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T08:52:11.0216854Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-12-04T08:52:11.0220031Z ##[group]Initializing the repository
2025-12-04T08:52:11.0224193Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T08:52:11.0253370Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-12-04T08:52:11.0254008Z hint: is subject to change. To configure the initial branch name to use in all
2025-12-04T08:52:11.0254580Z hint: of your new repositories, which will suppress this warning, call:
2025-12-04T08:52:11.0255019Z hint:
2025-12-04T08:52:11.0255322Z hint: 	git config --global init.defaultBranch <name>
2025-12-04T08:52:11.0255701Z hint:
2025-12-04T08:52:11.0256034Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-12-04T08:52:11.0256637Z hint: 'development'. The just-created branch can be renamed via this command:
2025-12-04T08:52:11.0257091Z hint:
2025-12-04T08:52:11.0257307Z hint: 	git branch -m <name>
2025-12-04T08:52:11.0257585Z hint:
2025-12-04T08:52:11.0257974Z hint: Disable this message with "git config set advice.defaultBranchName false"
2025-12-04T08:52:11.0258662Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-12-04T08:52:11.0264823Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-12-04T08:52:11.0288320Z ##[endgroup]
2025-12-04T08:52:11.0288756Z ##[group]Disabling automatic garbage collection
2025-12-04T08:52:11.0291813Z [command]/usr/bin/git config --local gc.auto 0
2025-12-04T08:52:11.0315830Z ##[endgroup]
2025-12-04T08:52:11.0322629Z ##[group]Setting up auth
2025-12-04T08:52:11.0323445Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-12-04T08:52:11.0349717Z [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' || :"
2025-12-04T08:52:11.0623395Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-12-04T08:52:11.0648646Z [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' || :"
2025-12-04T08:52:11.0896370Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T08:52:11.0920717Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url
2025-12-04T08:52:11.1171514Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T08:52:11.1214048Z ##[endgroup]
2025-12-04T08:52:11.1214480Z ##[group]Fetching the repository
2025-12-04T08:52:11.1222538Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-12-04T08:53:08.4687584Z From https://github.com/pytorch/pytorch
2025-12-04T08:53:08.4689184Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-12-04T08:53:08.4689763Z  * [new branch]              2.9.1                       -> origin/2.9.1
2025-12-04T08:53:08.4690350Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-12-04T08:53:08.4691448Z  * [new branch]              Flamefire-patch-1           -> origin/Flamefire-patch-1
2025-12-04T08:53:08.4692202Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-12-04T08:53:08.4692930Z  * [new branch]              HOPrintFunc                 -> origin/HOPrintFunc
2025-12-04T08:53:08.4694806Z  * [new branch]              IvanKobzarev/stack/1        -> origin/IvanKobzarev/stack/1
2025-12-04T08:53:08.4696705Z  * [new branch]              NicoshevSVE128              -> origin/NicoshevSVE128
2025-12-04T08:53:08.4697626Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-12-04T08:53:08.4699073Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-12-04T08:53:08.4700112Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-12-04T08:53:08.4701236Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-12-04T08:53:08.4702382Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-12-04T08:53:08.4703716Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-12-04T08:53:08.4704847Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-12-04T08:53:08.4706286Z  * [new branch]              activation_bench            -> origin/activation_bench
2025-12-04T08:53:08.4708035Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-12-04T08:53:08.4709677Z  * [new branch]              adi/onednn_aarch64          -> origin/adi/onednn_aarch64
2025-12-04T08:53:08.4710776Z  * [new branch]              adi/test                    -> origin/adi/test
2025-12-04T08:53:08.4712057Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-12-04T08:53:08.4713130Z  * [new branch]              adi/test_m8g                -> origin/adi/test_m8g
2025-12-04T08:53:08.4714242Z  * [new branch]              adi/test_onednn             -> origin/adi/test_onednn
2025-12-04T08:53:08.4715405Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-12-04T08:53:08.4716564Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-12-04T08:53:08.4717642Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-12-04T08:53:08.4719207Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-12-04T08:53:08.4721211Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-12-04T08:53:08.4722391Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-12-04T08:53:08.4723871Z  * [new branch]              albanD-patch-1              -> origin/albanD-patch-1
2025-12-04T08:53:08.4724784Z  * [new branch]              also-surround-shimh         -> origin/also-surround-shimh
2025-12-04T08:53:08.4726584Z  * [new branch]              angelayi/aot_compile        -> origin/angelayi/aot_compile
2025-12-04T08:53:08.4727745Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-12-04T08:53:08.4728773Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-12-04T08:53:08.4730078Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-12-04T08:53:08.4731037Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-12-04T08:53:08.4732186Z  * [new branch]              angelayi/inductor_const     -> origin/angelayi/inductor_const
2025-12-04T08:53:08.4733229Z  * [new branch]              angelayi/lstm               -> origin/angelayi/lstm
2025-12-04T08:53:08.4734867Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-12-04T08:53:08.4736363Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-12-04T08:53:08.4737467Z  * [new branch]              angelayi/side_eff           -> origin/angelayi/side_eff
2025-12-04T08:53:08.4738622Z  * [new branch]              angelayi/state_dict         -> origin/angelayi/state_dict
2025-12-04T08:53:08.4739976Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
2025-12-04T08:53:08.4741295Z  * [new branch]              angelayi/symm_mem           -> origin/angelayi/symm_mem
2025-12-04T08:53:08.4742392Z  * [new branch]              angelayi/test_cpp           -> origin/angelayi/test_cpp
2025-12-04T08:53:08.4743655Z  * [new branch]              angelayi/torch_size         -> origin/angelayi/torch_size
2025-12-04T08:53:08.4744690Z  * [new branch]              annotate_assert             -> origin/annotate_assert
2025-12-04T08:53:08.4745890Z  * [new branch]              annotate_fallback_kernel    -> origin/annotate_fallback_kernel
2025-12-04T08:53:08.4747061Z  * [new branch]              annotation_deepcopy         -> origin/annotation_deepcopy
2025-12-04T08:53:08.4748177Z  * [new branch]              annotation_dynamo           -> origin/annotation_dynamo
2025-12-04T08:53:08.4749335Z  * [new branch]              aot_eager_stack_trace       -> origin/aot_eager_stack_trace
2025-12-04T08:53:08.4750510Z  * [new branch]              aoti-cuda-alloc             -> origin/aoti-cuda-alloc
2025-12-04T08:53:08.4751638Z  * [new branch]              aoti_const_device           -> origin/aoti_const_device
2025-12-04T08:53:08.4752791Z  * [new branch]              aoti_fqn_name_interface     -> origin/aoti_fqn_name_interface
2025-12-04T08:53:08.4753910Z  * [new branch]              aoti_package_weights_binary -> origin/aoti_package_weights_binary
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2025-12-04T08:53:09.1813980Z  * [new branch]              zxiiro/c7i.2xlarge.h100     -> origin/zxiiro/c7i.2xlarge.h100
2025-12-04T08:53:09.1815096Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-12-04T08:53:09.1816415Z  * [new branch]              zxiiro/risc64               -> origin/zxiiro/risc64
2025-12-04T08:53:09.1817511Z  * [new branch]              zxiiro/test-multicloud-arc  -> origin/zxiiro/test-multicloud-arc
2025-12-04T08:53:09.1818694Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-12-04T08:53:09.1819673Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-12-04T08:53:09.1820857Z  * [new tag]                 ciflow/b200/115316          -> ciflow/b200/115316
2025-12-04T08:53:09.1821744Z  * [new tag]                 ciflow/b200/160685          -> ciflow/b200/160685
2025-12-04T08:53:09.1822414Z  * [new tag]                 ciflow/b200/161607          -> ciflow/b200/161607
2025-12-04T08:53:09.1822880Z  * [new tag]                 ciflow/b200/161938          -> ciflow/b200/161938
2025-12-04T08:53:09.1823794Z  * [new tag]                 ciflow/b200/167207          -> ciflow/b200/167207
2025-12-04T08:53:09.1824522Z  * [new tag]                 ciflow/b200/167989          -> ciflow/b200/167989
2025-12-04T08:53:09.1825839Z  * [new tag]                 ciflow/b200/168096          -> ciflow/b200/168096
2025-12-04T08:53:09.1826724Z  * [new tag]                 ciflow/b200/168175          -> ciflow/b200/168175
2025-12-04T08:53:09.1827475Z  * [new tag]                 ciflow/b200/168195          -> ciflow/b200/168195
2025-12-04T08:53:09.1828393Z  * [new tag]                 ciflow/b200/169200          -> ciflow/b200/169200
2025-12-04T08:53:09.1829186Z  * [new tag]                 ciflow/b200/169216          -> ciflow/b200/169216
2025-12-04T08:53:09.1830422Z  * [new tag]                 ciflow/b200/169380          -> ciflow/b200/169380
2025-12-04T08:53:09.1831540Z  * [new tag]                 ciflow/b200/169412          -> ciflow/b200/169412
2025-12-04T08:53:09.1832435Z  * [new tag]                 ciflow/b200/169470          -> ciflow/b200/169470
2025-12-04T08:53:09.1833183Z  * [new tag]                 ciflow/b200/169471          -> ciflow/b200/169471
2025-12-04T08:53:09.1833935Z  * [new tag]                 ciflow/b200/169472          -> ciflow/b200/169472
2025-12-04T08:53:09.1834892Z  * [new tag]                 ciflow/b200/169514          -> ciflow/b200/169514
2025-12-04T08:53:09.1835650Z  * [new tag]                 ciflow/b200/169517          -> ciflow/b200/169517
2025-12-04T08:53:09.1836705Z  * [new tag]                 ciflow/binaries/165922      -> ciflow/binaries/165922
2025-12-04T08:53:09.1837446Z  * [new tag]                 ciflow/binaries/169510      -> ciflow/binaries/169510
2025-12-04T08:53:09.1838492Z  * [new tag]                 ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994
2025-12-04T08:53:09.1839340Z  * [new tag]                 ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829
2025-12-04T08:53:09.1840052Z  * [new tag]                 ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972
2025-12-04T08:53:09.1840861Z  * [new tag]                 ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981
2025-12-04T08:53:09.1841765Z  * [new tag]                 ciflow/dynamo/167695        -> ciflow/dynamo/167695
2025-12-04T08:53:09.1842529Z  * [new tag]                 ciflow/dynamo/168096        -> ciflow/dynamo/168096
2025-12-04T08:53:09.1843494Z  * [new tag]                 ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938
2025-12-04T08:53:09.1844227Z  * [new tag]                 ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940
2025-12-04T08:53:09.1845190Z  * [new tag]                 ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923
2025-12-04T08:53:09.1846036Z  * [new tag]                 ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552
2025-12-04T08:53:09.1846765Z  * [new tag]                 ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129
2025-12-04T08:53:09.1847490Z  * [new tag]                 ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917
2025-12-04T08:53:09.1848558Z  * [new tag]                 ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156
2025-12-04T08:53:09.1849373Z  * [new tag]                 ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200
2025-12-04T08:53:09.1850109Z  * [new tag]                 ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216
2025-12-04T08:53:09.1850823Z  * [new tag]                 ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338
2025-12-04T08:53:09.1851648Z  * [new tag]                 ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355
2025-12-04T08:53:09.1852368Z  * [new tag]                 ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543
2025-12-04T08:53:09.1853799Z  * [new tag]                 ciflow/h100/115316          -> ciflow/h100/115316
2025-12-04T08:53:09.1854439Z  * [new tag]                 ciflow/h100/160685          -> ciflow/h100/160685
2025-12-04T08:53:09.1855186Z  * [new tag]                 ciflow/h100/160729          -> ciflow/h100/160729
2025-12-04T08:53:09.1855905Z  * [new tag]                 ciflow/h100/161607          -> ciflow/h100/161607
2025-12-04T08:53:09.1856660Z  * [new tag]                 ciflow/h100/161938          -> ciflow/h100/161938
2025-12-04T08:53:09.1857368Z  * [new tag]                 ciflow/h100/167207          -> ciflow/h100/167207
2025-12-04T08:53:09.1858123Z  * [new tag]                 ciflow/h100/167989          -> ciflow/h100/167989
2025-12-04T08:53:09.1858885Z  * [new tag]                 ciflow/h100/168096          -> ciflow/h100/168096
2025-12-04T08:53:09.1859578Z  * [new tag]                 ciflow/h100/168175          -> ciflow/h100/168175
2025-12-04T08:53:09.1860363Z  * [new tag]                 ciflow/h100/168195          -> ciflow/h100/168195
2025-12-04T08:53:09.1861104Z  * [new tag]                 ciflow/h100/168980          -> ciflow/h100/168980
2025-12-04T08:53:09.1862085Z  * [new tag]                 ciflow/h100/169200          -> ciflow/h100/169200
2025-12-04T08:53:09.1863075Z  * [new tag]                 ciflow/h100/169216          -> ciflow/h100/169216
2025-12-04T08:53:09.1863985Z  * [new tag]                 ciflow/h100/169380          -> ciflow/h100/169380
2025-12-04T08:53:09.1864759Z  * [new tag]                 ciflow/h100/169412          -> ciflow/h100/169412
2025-12-04T08:53:09.1865504Z  * [new tag]                 ciflow/h100/169470          -> ciflow/h100/169470
2025-12-04T08:53:09.1866246Z  * [new tag]                 ciflow/h100/169471          -> ciflow/h100/169471
2025-12-04T08:53:09.1867018Z  * [new tag]                 ciflow/h100/169472          -> ciflow/h100/169472
2025-12-04T08:53:09.1867747Z  * [new tag]                 ciflow/h100/169514          -> ciflow/h100/169514
2025-12-04T08:53:09.1868687Z  * [new tag]                 ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096
2025-12-04T08:53:09.1869960Z  * [new tag]                 ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096
2025-12-04T08:53:09.1870809Z  * [new tag]                 ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165
2025-12-04T08:53:09.1871575Z  * [new tag]                 ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096
2025-12-04T08:53:09.1872527Z  * [new tag]                 ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096
2025-12-04T08:53:09.1873831Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073
2025-12-04T08:53:09.1874928Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096
2025-12-04T08:53:09.1876166Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024
2025-12-04T08:53:09.1877224Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024
2025-12-04T08:53:09.1878155Z  * [new tag]                 ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096
2025-12-04T08:53:09.1878911Z  * [new tag]                 ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096
2025-12-04T08:53:09.1879716Z  * [new tag]                 ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024
2025-12-04T08:53:09.1880627Z  * [new tag]                 ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425
2025-12-04T08:53:09.1881662Z  * [new tag]                 ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545
2025-12-04T08:53:09.1882509Z  * [new tag]                 ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997
2025-12-04T08:53:09.1883253Z  * [new tag]                 ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096
2025-12-04T08:53:09.1884050Z  * [new tag]                 ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063
2025-12-04T08:53:09.1884795Z  * [new tag]                 ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425
2025-12-04T08:53:09.1885677Z  * [new tag]                 ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545
2025-12-04T08:53:09.1886422Z  * [new tag]                 ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096
2025-12-04T08:53:09.1887209Z  * [new tag]                 ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063
2025-12-04T08:53:09.1887997Z  * [new tag]                 ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425
2025-12-04T08:53:09.1888981Z  * [new tag]                 ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052
2025-12-04T08:53:09.1889667Z  * [new tag]                 ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971
2025-12-04T08:53:09.1890567Z  * [new tag]                 ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096
2025-12-04T08:53:09.1891503Z  * [new tag]                 ciflow/inductor/144542      -> ciflow/inductor/144542
2025-12-04T08:53:09.1892292Z  * [new tag]                 ciflow/inductor/146506      -> ciflow/inductor/146506
2025-12-04T08:53:09.1892981Z  * [new tag]                 ciflow/inductor/147990      -> ciflow/inductor/147990
2025-12-04T08:53:09.1893830Z  * [new tag]                 ciflow/inductor/148294      -> ciflow/inductor/148294
2025-12-04T08:53:09.1894686Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-12-04T08:53:09.1895464Z  * [new tag]                 ciflow/inductor/157149      -> ciflow/inductor/157149
2025-12-04T08:53:09.1896004Z  * [new tag]                 ciflow/inductor/157994      -> ciflow/inductor/157994
2025-12-04T08:53:09.1896700Z  * [new tag]                 ciflow/inductor/160174      -> ciflow/inductor/160174
2025-12-04T08:53:09.1897355Z  * [new tag]                 ciflow/inductor/160685      -> ciflow/inductor/160685
2025-12-04T08:53:09.1898093Z  * [new tag]                 ciflow/inductor/160686      -> ciflow/inductor/160686
2025-12-04T08:53:09.1898811Z  * [new tag]                 ciflow/inductor/160687      -> ciflow/inductor/160687
2025-12-04T08:53:09.1900041Z  * [new tag]                 ciflow/inductor/160688      -> ciflow/inductor/160688
2025-12-04T08:53:09.1900948Z  * [new tag]                 ciflow/inductor/160706      -> ciflow/inductor/160706
2025-12-04T08:53:09.1901898Z  * [new tag]                 ciflow/inductor/160729      -> ciflow/inductor/160729
2025-12-04T08:53:09.1903177Z  * [new tag]                 ciflow/inductor/161938      -> ciflow/inductor/161938
2025-12-04T08:53:09.1903833Z  * [new tag]                 ciflow/inductor/161939      -> ciflow/inductor/161939
2025-12-04T08:53:09.1904567Z  * [new tag]                 ciflow/inductor/161940      -> ciflow/inductor/161940
2025-12-04T08:53:09.1905332Z  * [new tag]                 ciflow/inductor/162052      -> ciflow/inductor/162052
2025-12-04T08:53:09.1906144Z  * [new tag]                 ciflow/inductor/162275      -> ciflow/inductor/162275
2025-12-04T08:53:09.1906905Z  * [new tag]                 ciflow/inductor/162795      -> ciflow/inductor/162795
2025-12-04T08:53:09.1907915Z  * [new tag]                 ciflow/inductor/163245      -> ciflow/inductor/163245
2025-12-04T08:53:09.1908682Z  * [new tag]                 ciflow/inductor/163335      -> ciflow/inductor/163335
2025-12-04T08:53:09.1909399Z  * [new tag]                 ciflow/inductor/163503      -> ciflow/inductor/163503
2025-12-04T08:53:09.1910140Z  * [new tag]                 ciflow/inductor/163942      -> ciflow/inductor/163942
2025-12-04T08:53:09.1911042Z  * [new tag]                 ciflow/inductor/165270      -> ciflow/inductor/165270
2025-12-04T08:53:09.1911829Z  * [new tag]                 ciflow/inductor/165274      -> ciflow/inductor/165274
2025-12-04T08:53:09.1912548Z  * [new tag]                 ciflow/inductor/165322      -> ciflow/inductor/165322
2025-12-04T08:53:09.1913308Z  * [new tag]                 ciflow/inductor/165597      -> ciflow/inductor/165597
2025-12-04T08:53:09.1914065Z  * [new tag]                 ciflow/inductor/166063      -> ciflow/inductor/166063
2025-12-04T08:53:09.1914855Z  * [new tag]                 ciflow/inductor/166075      -> ciflow/inductor/166075
2025-12-04T08:53:09.1915568Z  * [new tag]                 ciflow/inductor/166165      -> ciflow/inductor/166165
2025-12-04T08:53:09.1916620Z  * [new tag]                 ciflow/inductor/166254      -> ciflow/inductor/166254
2025-12-04T08:53:09.1917315Z  * [new tag]                 ciflow/inductor/166483      -> ciflow/inductor/166483
2025-12-04T08:53:09.1918187Z  * [new tag]                 ciflow/inductor/166494      -> ciflow/inductor/166494
2025-12-04T08:53:09.1918921Z  * [new tag]                 ciflow/inductor/166545      -> ciflow/inductor/166545
2025-12-04T08:53:09.1919666Z  * [new tag]                 ciflow/inductor/166788      -> ciflow/inductor/166788
2025-12-04T08:53:09.1920569Z  * [new tag]                 ciflow/inductor/166846      -> ciflow/inductor/166846
2025-12-04T08:53:09.1921603Z  * [new tag]                 ciflow/inductor/167300      -> ciflow/inductor/167300
2025-12-04T08:53:09.1922392Z  * [new tag]                 ciflow/inductor/167407      -> ciflow/inductor/167407
2025-12-04T08:53:09.1923281Z  * [new tag]                 ciflow/inductor/167536      -> ciflow/inductor/167536
2025-12-04T08:53:09.1924562Z  * [new tag]                 ciflow/inductor/167552      -> ciflow/inductor/167552
2025-12-04T08:53:09.1925139Z  * [new tag]                 ciflow/inductor/167555      -> ciflow/inductor/167555
2025-12-04T08:53:09.1925981Z  * [new tag]                 ciflow/inductor/167583      -> ciflow/inductor/167583
2025-12-04T08:53:09.1926920Z  * [new tag]                 ciflow/inductor/167599      -> ciflow/inductor/167599
2025-12-04T08:53:09.1927559Z  * [new tag]                 ciflow/inductor/167647      -> ciflow/inductor/167647
2025-12-04T08:53:09.1928253Z  * [new tag]                 ciflow/inductor/167677      -> ciflow/inductor/167677
2025-12-04T08:53:09.1928987Z  * [new tag]                 ciflow/inductor/167680      -> ciflow/inductor/167680
2025-12-04T08:53:09.1929742Z  * [new tag]                 ciflow/inductor/167695      -> ciflow/inductor/167695
2025-12-04T08:53:09.1930518Z  * [new tag]                 ciflow/inductor/167742      -> ciflow/inductor/167742
2025-12-04T08:53:09.1931306Z  * [new tag]                 ciflow/inductor/167768      -> ciflow/inductor/167768
2025-12-04T08:53:09.1932328Z  * [new tag]                 ciflow/inductor/167773      -> ciflow/inductor/167773
2025-12-04T08:53:09.1933120Z  * [new tag]                 ciflow/inductor/167781      -> ciflow/inductor/167781
2025-12-04T08:53:09.1933883Z  * [new tag]                 ciflow/inductor/167880      -> ciflow/inductor/167880
2025-12-04T08:53:09.1934948Z  * [new tag]                 ciflow/inductor/167887      -> ciflow/inductor/167887
2025-12-04T08:53:09.1935691Z  * [new tag]                 ciflow/inductor/167972      -> ciflow/inductor/167972
2025-12-04T08:53:09.1936437Z  * [new tag]                 ciflow/inductor/167989      -> ciflow/inductor/167989
2025-12-04T08:53:09.1937197Z  * [new tag]                 ciflow/inductor/168002      -> ciflow/inductor/168002
2025-12-04T08:53:09.1937946Z  * [new tag]                 ciflow/inductor/168050      -> ciflow/inductor/168050
2025-12-04T08:53:09.1938690Z  * [new tag]                 ciflow/inductor/168051      -> ciflow/inductor/168051
2025-12-04T08:53:09.1939448Z  * [new tag]                 ciflow/inductor/168052      -> ciflow/inductor/168052
2025-12-04T08:53:09.1940342Z  * [new tag]                 ciflow/inductor/168073      -> ciflow/inductor/168073
2025-12-04T08:53:09.1941085Z  * [new tag]                 ciflow/inductor/168096      -> ciflow/inductor/168096
2025-12-04T08:53:09.1941832Z  * [new tag]                 ciflow/inductor/168114      -> ciflow/inductor/168114
2025-12-04T08:53:09.1942570Z  * [new tag]                 ciflow/inductor/168115      -> ciflow/inductor/168115
2025-12-04T08:53:09.1943301Z  * [new tag]                 ciflow/inductor/168127      -> ciflow/inductor/168127
2025-12-04T08:53:09.1944155Z  * [new tag]                 ciflow/inductor/168129      -> ciflow/inductor/168129
2025-12-04T08:53:09.1944926Z  * [new tag]                 ciflow/inductor/168157      -> ciflow/inductor/168157
2025-12-04T08:53:09.1945675Z  * [new tag]                 ciflow/inductor/168175      -> ciflow/inductor/168175
2025-12-04T08:53:09.1946496Z  * [new tag]                 ciflow/inductor/168185      -> ciflow/inductor/168185
2025-12-04T08:53:09.1947199Z  * [new tag]                 ciflow/inductor/168195      -> ciflow/inductor/168195
2025-12-04T08:53:09.1947952Z  * [new tag]                 ciflow/inductor/168209      -> ciflow/inductor/168209
2025-12-04T08:53:09.1948690Z  * [new tag]                 ciflow/inductor/168266      -> ciflow/inductor/168266
2025-12-04T08:53:09.1949439Z  * [new tag]                 ciflow/inductor/168316      -> ciflow/inductor/168316
2025-12-04T08:53:09.1950329Z  * [new tag]                 ciflow/inductor/168326      -> ciflow/inductor/168326
2025-12-04T08:53:09.1951095Z  * [new tag]                 ciflow/inductor/168368      -> ciflow/inductor/168368
2025-12-04T08:53:09.1951826Z  * [new tag]                 ciflow/inductor/168894      -> ciflow/inductor/168894
2025-12-04T08:53:09.1952590Z  * [new tag]                 ciflow/inductor/168934      -> ciflow/inductor/168934
2025-12-04T08:53:09.1953361Z  * [new tag]                 ciflow/inductor/168939      -> ciflow/inductor/168939
2025-12-04T08:53:09.1954663Z  * [new tag]                 ciflow/inductor/168946      -> ciflow/inductor/168946
2025-12-04T08:53:09.1955271Z  * [new tag]                 ciflow/inductor/168950      -> ciflow/inductor/168950
2025-12-04T08:53:09.1956063Z  * [new tag]                 ciflow/inductor/168951      -> ciflow/inductor/168951
2025-12-04T08:53:09.1956795Z  * [new tag]                 ciflow/inductor/168952      -> ciflow/inductor/168952
2025-12-04T08:53:09.1957608Z  * [new tag]                 ciflow/inductor/168955      -> ciflow/inductor/168955
2025-12-04T08:53:09.1958339Z  * [new tag]                 ciflow/inductor/168971      -> ciflow/inductor/168971
2025-12-04T08:53:09.1959096Z  * [new tag]                 ciflow/inductor/168979      -> ciflow/inductor/168979
2025-12-04T08:53:09.1959830Z  * [new tag]                 ciflow/inductor/168980      -> ciflow/inductor/168980
2025-12-04T08:53:09.1960718Z  * [new tag]                 ciflow/inductor/168983      -> ciflow/inductor/168983
2025-12-04T08:53:09.1961479Z  * [new tag]                 ciflow/inductor/169006      -> ciflow/inductor/169006
2025-12-04T08:53:09.1962250Z  * [new tag]                 ciflow/inductor/169023      -> ciflow/inductor/169023
2025-12-04T08:53:09.1962984Z  * [new tag]                 ciflow/inductor/169024      -> ciflow/inductor/169024
2025-12-04T08:53:09.1963780Z  * [new tag]                 ciflow/inductor/169025      -> ciflow/inductor/169025
2025-12-04T08:53:09.1964550Z  * [new tag]                 ciflow/inductor/169066      -> ciflow/inductor/169066
2025-12-04T08:53:09.1965331Z  * [new tag]                 ciflow/inductor/169091      -> ciflow/inductor/169091
2025-12-04T08:53:09.1966068Z  * [new tag]                 ciflow/inductor/169102      -> ciflow/inductor/169102
2025-12-04T08:53:09.1966821Z  * [new tag]                 ciflow/inductor/169103      -> ciflow/inductor/169103
2025-12-04T08:53:09.1967584Z  * [new tag]                 ciflow/inductor/169121      -> ciflow/inductor/169121
2025-12-04T08:53:09.1968357Z  * [new tag]                 ciflow/inductor/169134      -> ciflow/inductor/169134
2025-12-04T08:53:09.1969176Z  * [new tag]                 ciflow/inductor/169135      -> ciflow/inductor/169135
2025-12-04T08:53:09.1969927Z  * [new tag]                 ciflow/inductor/169141      -> ciflow/inductor/169141
2025-12-04T08:53:09.1970691Z  * [new tag]                 ciflow/inductor/169151      -> ciflow/inductor/169151
2025-12-04T08:53:09.1971591Z  * [new tag]                 ciflow/inductor/169161      -> ciflow/inductor/169161
2025-12-04T08:53:09.1972334Z  * [new tag]                 ciflow/inductor/169167      -> ciflow/inductor/169167
2025-12-04T08:53:09.1973247Z  * [new tag]                 ciflow/inductor/169177      -> ciflow/inductor/169177
2025-12-04T08:53:09.1974145Z  * [new tag]                 ciflow/inductor/169185      -> ciflow/inductor/169185
2025-12-04T08:53:09.1974913Z  * [new tag]                 ciflow/inductor/169196      -> ciflow/inductor/169196
2025-12-04T08:53:09.1975899Z  * [new tag]                 ciflow/inductor/169200      -> ciflow/inductor/169200
2025-12-04T08:53:09.1976617Z  * [new tag]                 ciflow/inductor/169204      -> ciflow/inductor/169204
2025-12-04T08:53:09.1977353Z  * [new tag]                 ciflow/inductor/169216      -> ciflow/inductor/169216
2025-12-04T08:53:09.1978115Z  * [new tag]                 ciflow/inductor/169219      -> ciflow/inductor/169219
2025-12-04T08:53:09.1978886Z  * [new tag]                 ciflow/inductor/169220      -> ciflow/inductor/169220
2025-12-04T08:53:09.1979907Z  * [new tag]                 ciflow/inductor/169230      -> ciflow/inductor/169230
2025-12-04T08:53:09.1980665Z  * [new tag]                 ciflow/inductor/169242      -> ciflow/inductor/169242
2025-12-04T08:53:09.1981641Z  * [new tag]                 ciflow/inductor/169245      -> ciflow/inductor/169245
2025-12-04T08:53:09.1982628Z  * [new tag]                 ciflow/inductor/169260      -> ciflow/inductor/169260
2025-12-04T08:53:09.1983394Z  * [new tag]                 ciflow/inductor/169282      -> ciflow/inductor/169282
2025-12-04T08:53:09.1984145Z  * [new tag]                 ciflow/inductor/169286      -> ciflow/inductor/169286
2025-12-04T08:53:09.1985109Z  * [new tag]                 ciflow/inductor/169299      -> ciflow/inductor/169299
2025-12-04T08:53:09.1986028Z  * [new tag]                 ciflow/inductor/169304      -> ciflow/inductor/169304
2025-12-04T08:53:09.1987323Z  * [new tag]                 ciflow/inductor/169305      -> ciflow/inductor/169305
2025-12-04T08:53:09.1987890Z  * [new tag]                 ciflow/inductor/169308      -> ciflow/inductor/169308
2025-12-04T08:53:09.1988715Z  * [new tag]                 ciflow/inductor/169319      -> ciflow/inductor/169319
2025-12-04T08:53:09.1989473Z  * [new tag]                 ciflow/inductor/169326      -> ciflow/inductor/169326
2025-12-04T08:53:09.1990221Z  * [new tag]                 ciflow/inductor/169332      -> ciflow/inductor/169332
2025-12-04T08:53:09.1990975Z  * [new tag]                 ciflow/inductor/169333      -> ciflow/inductor/169333
2025-12-04T08:53:09.1991993Z  * [new tag]                 ciflow/inductor/169336      -> ciflow/inductor/169336
2025-12-04T08:53:09.1992770Z  * [new tag]                 ciflow/inductor/169340      -> ciflow/inductor/169340
2025-12-04T08:53:09.1993518Z  * [new tag]                 ciflow/inductor/169341      -> ciflow/inductor/169341
2025-12-04T08:53:09.1994308Z  * [new tag]                 ciflow/inductor/169343      -> ciflow/inductor/169343
2025-12-04T08:53:09.1995060Z  * [new tag]                 ciflow/inductor/169346      -> ciflow/inductor/169346
2025-12-04T08:53:09.1996053Z  * [new tag]                 ciflow/inductor/169348      -> ciflow/inductor/169348
2025-12-04T08:53:09.1996967Z  * [new tag]                 ciflow/inductor/169350      -> ciflow/inductor/169350
2025-12-04T08:53:09.1997741Z  * [new tag]                 ciflow/inductor/169355      -> ciflow/inductor/169355
2025-12-04T08:53:09.1998505Z  * [new tag]                 ciflow/inductor/169370      -> ciflow/inductor/169370
2025-12-04T08:53:09.1999515Z  * [new tag]                 ciflow/inductor/169375      -> ciflow/inductor/169375
2025-12-04T08:53:09.2000286Z  * [new tag]                 ciflow/inductor/169389      -> ciflow/inductor/169389
2025-12-04T08:53:09.2001048Z  * [new tag]                 ciflow/inductor/169391      -> ciflow/inductor/169391
2025-12-04T08:53:09.2001836Z  * [new tag]                 ciflow/inductor/169393      -> ciflow/inductor/169393
2025-12-04T08:53:09.2002583Z  * [new tag]                 ciflow/inductor/169399      -> ciflow/inductor/169399
2025-12-04T08:53:09.2003517Z  * [new tag]                 ciflow/inductor/169400      -> ciflow/inductor/169400
2025-12-04T08:53:09.2004311Z  * [new tag]                 ciflow/inductor/169415      -> ciflow/inductor/169415
2025-12-04T08:53:09.2005043Z  * [new tag]                 ciflow/inductor/169417      -> ciflow/inductor/169417
2025-12-04T08:53:09.2005877Z  * [new tag]                 ciflow/inductor/169418      -> ciflow/inductor/169418
2025-12-04T08:53:09.2007314Z  * [new tag]                 ciflow/inductor/169430      -> ciflow/inductor/169430
2025-12-04T08:53:09.2007996Z  * [new tag]                 ciflow/inductor/169432      -> ciflow/inductor/169432
2025-12-04T08:53:09.2008746Z  * [new tag]                 ciflow/inductor/169436      -> ciflow/inductor/169436
2025-12-04T08:53:09.2009601Z  * [new tag]                 ciflow/inductor/169437      -> ciflow/inductor/169437
2025-12-04T08:53:09.2010397Z  * [new tag]                 ciflow/inductor/169438      -> ciflow/inductor/169438
2025-12-04T08:53:09.2011166Z  * [new tag]                 ciflow/inductor/169441      -> ciflow/inductor/169441
2025-12-04T08:53:09.2011885Z  * [new tag]                 ciflow/inductor/169446      -> ciflow/inductor/169446
2025-12-04T08:53:09.2012782Z  * [new tag]                 ciflow/inductor/169447      -> ciflow/inductor/169447
2025-12-04T08:53:09.2013541Z  * [new tag]                 ciflow/inductor/169452      -> ciflow/inductor/169452
2025-12-04T08:53:09.2014438Z  * [new tag]                 ciflow/inductor/169455      -> ciflow/inductor/169455
2025-12-04T08:53:09.2015178Z  * [new tag]                 ciflow/inductor/169459      -> ciflow/inductor/169459
2025-12-04T08:53:09.2016060Z  * [new tag]                 ciflow/inductor/169463      -> ciflow/inductor/169463
2025-12-04T08:53:09.2016955Z  * [new tag]                 ciflow/inductor/169476      -> ciflow/inductor/169476
2025-12-04T08:53:09.2017762Z  * [new tag]                 ciflow/inductor/169485      -> ciflow/inductor/169485
2025-12-04T08:53:09.2018505Z  * [new tag]                 ciflow/inductor/169493      -> ciflow/inductor/169493
2025-12-04T08:53:09.2019259Z  * [new tag]                 ciflow/inductor/169496      -> ciflow/inductor/169496
2025-12-04T08:53:09.2020120Z  * [new tag]                 ciflow/inductor/169497      -> ciflow/inductor/169497
2025-12-04T08:53:09.2020939Z  * [new tag]                 ciflow/inductor/169503      -> ciflow/inductor/169503
2025-12-04T08:53:09.2021669Z  * [new tag]                 ciflow/inductor/169504      -> ciflow/inductor/169504
2025-12-04T08:53:09.2023005Z  * [new tag]                 ciflow/inductor/169505      -> ciflow/inductor/169505
2025-12-04T08:53:09.2024183Z  * [new tag]                 ciflow/inductor/169508      -> ciflow/inductor/169508
2025-12-04T08:53:09.2024917Z  * [new tag]                 ciflow/inductor/169509      -> ciflow/inductor/169509
2025-12-04T08:53:09.2025703Z  * [new tag]                 ciflow/inductor/169513      -> ciflow/inductor/169513
2025-12-04T08:53:09.2026522Z  * [new tag]                 ciflow/inductor/169514      -> ciflow/inductor/169514
2025-12-04T08:53:09.2027271Z  * [new tag]                 ciflow/inductor/169515      -> ciflow/inductor/169515
2025-12-04T08:53:09.2028043Z  * [new tag]                 ciflow/inductor/169517      -> ciflow/inductor/169517
2025-12-04T08:53:09.2028827Z  * [new tag]                 ciflow/inductor/169519      -> ciflow/inductor/169519
2025-12-04T08:53:09.2029581Z  * [new tag]                 ciflow/inductor/169520      -> ciflow/inductor/169520
2025-12-04T08:53:09.2030345Z  * [new tag]                 ciflow/inductor/169521      -> ciflow/inductor/169521
2025-12-04T08:53:09.2038956Z  * [new tag]                 ciflow/inductor/169524      -> ciflow/inductor/169524
2025-12-04T08:53:09.2039508Z  * [new tag]                 ciflow/inductor/169527      -> ciflow/inductor/169527
2025-12-04T08:53:09.2040034Z  * [new tag]                 ciflow/inductor/169528      -> ciflow/inductor/169528
2025-12-04T08:53:09.2040232Z  * [new tag]                 ciflow/inductor/169532      -> ciflow/inductor/169532
2025-12-04T08:53:09.2040459Z  * [new tag]                 ciflow/inductor/169535      -> ciflow/inductor/169535
2025-12-04T08:53:09.2040651Z  * [new tag]                 ciflow/inductor/169536      -> ciflow/inductor/169536
2025-12-04T08:53:09.2040859Z  * [new tag]                 ciflow/inductor/169547      -> ciflow/inductor/169547
2025-12-04T08:53:09.2041154Z  * [new tag]                 ciflow/inductor/169548      -> ciflow/inductor/169548
2025-12-04T08:53:09.2041371Z  * [new tag]                 ciflow/inductor/169549      -> ciflow/inductor/169549
2025-12-04T08:53:09.2041587Z  * [new tag]                 ciflow/inductor/169551      -> ciflow/inductor/169551
2025-12-04T08:53:09.2041768Z  * [new tag]                 ciflow/inductor/169552      -> ciflow/inductor/169552
2025-12-04T08:53:09.2041965Z  * [new tag]                 ciflow/inductor/169553      -> ciflow/inductor/169553
2025-12-04T08:53:09.2042157Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-12-04T08:53:09.2042433Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-12-04T08:53:09.2042966Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-12-04T08:53:09.2043581Z  * [new tag]                 ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994
2025-12-04T08:53:09.2044707Z  * [new tag]                 ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075
2025-12-04T08:53:09.2045349Z  * [new tag]                 ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876
2025-12-04T08:53:09.2046079Z  * [new tag]                 ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981
2025-12-04T08:53:09.2047094Z  * [new tag]                 ciflow/mps/166254           -> ciflow/mps/166254
2025-12-04T08:53:09.2048115Z  * [new tag]                 ciflow/mps/169017           -> ciflow/mps/169017
2025-12-04T08:53:09.2049001Z  * [new tag]                 ciflow/mps/169372           -> ciflow/mps/169372
2025-12-04T08:53:09.2049620Z  * [new tag]                 ciflow/mps/169478           -> ciflow/mps/169478
2025-12-04T08:53:09.2050709Z  * [new tag]                 ciflow/op-benchmark/157994  -> ciflow/op-benchmark/157994
2025-12-04T08:53:09.2051353Z  * [new tag]                 ciflow/op-benchmark/166075  -> ciflow/op-benchmark/166075
2025-12-04T08:53:09.2052079Z  * [new tag]                 ciflow/op-benchmark/169544  -> ciflow/op-benchmark/169544
2025-12-04T08:53:09.2053141Z  * [new tag]                 ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997
2025-12-04T08:53:09.2053871Z  * [new tag]                 ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517
2025-12-04T08:53:09.2054599Z  * [new tag]                 ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063
2025-12-04T08:53:09.2055294Z  * [new tag]                 ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425
2025-12-04T08:53:09.2056750Z  * [new tag]                 ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517
2025-12-04T08:53:09.2057393Z  * [new tag]                 ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063
2025-12-04T08:53:09.2058123Z  * [new tag]                 ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425
2025-12-04T08:53:09.2059311Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-12-04T08:53:09.2060769Z  * [new tag]                 ciflow/periodic/167207      -> ciflow/periodic/167207
2025-12-04T08:53:09.2061543Z  * [new tag]                 ciflow/periodic/167978      -> ciflow/periodic/167978
2025-12-04T08:53:09.2062233Z  * [new tag]                 ciflow/periodic/168096      -> ciflow/periodic/168096
2025-12-04T08:53:09.2062984Z  * [new tag]                 ciflow/periodic/169286      -> ciflow/periodic/169286
2025-12-04T08:53:09.2064015Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-12-04T08:53:09.2064989Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-12-04T08:53:09.2065739Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-12-04T08:53:09.2066753Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-12-04T08:53:09.2068338Z  * [new tag]                 ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9
2025-12-04T08:53:09.2069078Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-12-04T08:53:09.2070383Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-12-04T08:53:09.2071205Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-12-04T08:53:09.2072240Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-12-04T08:53:09.2073278Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-12-04T08:53:09.2074320Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-12-04T08:53:09.2075514Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-12-04T08:53:09.2078141Z  * [new tag]                 ciflow/pull/167207          -> ciflow/pull/167207
2025-12-04T08:53:09.2078537Z  * [new tag]                 ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207
2025-12-04T08:53:09.2078729Z  * [new tag]                 ciflow/rocm-mi200/165545    -> ciflow/rocm-mi200/165545
2025-12-04T08:53:09.2079059Z  * [new tag]                 ciflow/rocm-mi200/165997    -> ciflow/rocm-mi200/165997
2025-12-04T08:53:09.2079779Z  * [new tag]                 ciflow/rocm-mi200/168096    -> ciflow/rocm-mi200/168096
2025-12-04T08:53:09.2080744Z  * [new tag]                 ciflow/rocm-mi200/168275    -> ciflow/rocm-mi200/168275
2025-12-04T08:53:09.2081419Z  * [new tag]                 ciflow/rocm-mi200/169063    -> ciflow/rocm-mi200/169063
2025-12-04T08:53:09.2082321Z  * [new tag]                 ciflow/rocm-mi200/169356    -> ciflow/rocm-mi200/169356
2025-12-04T08:53:09.2082989Z  * [new tag]                 ciflow/rocm-mi200/169425    -> ciflow/rocm-mi200/169425
2025-12-04T08:53:09.2083969Z  * [new tag]                 ciflow/rocm-mi300/165545    -> ciflow/rocm-mi300/165545
2025-12-04T08:53:09.2084840Z  * [new tag]                 ciflow/rocm-mi300/167157    -> ciflow/rocm-mi300/167157
2025-12-04T08:53:09.2085510Z  * [new tag]                 ciflow/rocm-mi300/168096    -> ciflow/rocm-mi300/168096
2025-12-04T08:53:09.2086204Z  * [new tag]                 ciflow/rocm-mi300/169063    -> ciflow/rocm-mi300/169063
2025-12-04T08:53:09.2086906Z  * [new tag]                 ciflow/rocm-mi300/169425    -> ciflow/rocm-mi300/169425
2025-12-04T08:53:09.2087867Z  * [new tag]                 ciflow/rocm-mi355/167157    -> ciflow/rocm-mi355/167157
2025-12-04T08:53:09.2088545Z  * [new tag]                 ciflow/rocm-mi355/168275    -> ciflow/rocm-mi355/168275
2025-12-04T08:53:09.2089252Z  * [new tag]                 ciflow/rocm-mi355/169425    -> ciflow/rocm-mi355/169425
2025-12-04T08:53:09.2090251Z  * [new tag]                 ciflow/rocm-navi31/168275   -> ciflow/rocm-navi31/168275
2025-12-04T08:53:09.2090906Z  * [new tag]                 ciflow/rocm-navi31/169425   -> ciflow/rocm-navi31/169425
2025-12-04T08:53:09.2091823Z  * [new tag]                 ciflow/rocm/115316          -> ciflow/rocm/115316
2025-12-04T08:53:09.2092517Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-12-04T08:53:09.2093190Z  * [new tag]                 ciflow/rocm/160685          -> ciflow/rocm/160685
2025-12-04T08:53:09.2094063Z  * [new tag]                 ciflow/rocm/161607          -> ciflow/rocm/161607
2025-12-04T08:53:09.2094707Z  * [new tag]                 ciflow/rocm/162052          -> ciflow/rocm/162052
2025-12-04T08:53:09.2095398Z  * [new tag]                 ciflow/rocm/165997          -> ciflow/rocm/165997
2025-12-04T08:53:09.2096099Z  * [new tag]                 ciflow/rocm/166165          -> ciflow/rocm/166165
2025-12-04T08:53:09.2096787Z  * [new tag]                 ciflow/rocm/166517          -> ciflow/rocm/166517
2025-12-04T08:53:09.2097497Z  * [new tag]                 ciflow/rocm/167207          -> ciflow/rocm/167207
2025-12-04T08:53:09.2098434Z  * [new tag]                 ciflow/rocm/167536          -> ciflow/rocm/167536
2025-12-04T08:53:09.2099056Z  * [new tag]                 ciflow/rocm/167781          -> ciflow/rocm/167781
2025-12-04T08:53:09.2100108Z  * [new tag]                 ciflow/rocm/167989          -> ciflow/rocm/167989
2025-12-04T08:53:09.2101172Z  * [new tag]                 ciflow/rocm/168073          -> ciflow/rocm/168073
2025-12-04T08:53:09.2102107Z  * [new tag]                 ciflow/rocm/168195          -> ciflow/rocm/168195
2025-12-04T08:53:09.2102798Z  * [new tag]                 ciflow/rocm/168939          -> ciflow/rocm/168939
2025-12-04T08:53:09.2103536Z  * [new tag]                 ciflow/rocm/168971          -> ciflow/rocm/168971
2025-12-04T08:53:09.2104291Z  * [new tag]                 ciflow/rocm/169024          -> ciflow/rocm/169024
2025-12-04T08:53:09.2105065Z  * [new tag]                 ciflow/rocm/169200          -> ciflow/rocm/169200
2025-12-04T08:53:09.2105791Z  * [new tag]                 ciflow/rocm/169216          -> ciflow/rocm/169216
2025-12-04T08:53:09.2106555Z  * [new tag]                 ciflow/rocm/169312          -> ciflow/rocm/169312
2025-12-04T08:53:09.2107305Z  * [new tag]                 ciflow/rocm/169380          -> ciflow/rocm/169380
2025-12-04T08:53:09.2108081Z  * [new tag]                 ciflow/rocm/169427          -> ciflow/rocm/169427
2025-12-04T08:53:09.2108832Z  * [new tag]                 ciflow/rocm/169455          -> ciflow/rocm/169455
2025-12-04T08:53:09.2109537Z  * [new tag]                 ciflow/rocm/169470          -> ciflow/rocm/169470
2025-12-04T08:53:09.2110291Z  * [new tag]                 ciflow/rocm/169471          -> ciflow/rocm/169471
2025-12-04T08:53:09.2111068Z  * [new tag]                 ciflow/rocm/169472          -> ciflow/rocm/169472
2025-12-04T08:53:09.2111806Z  * [new tag]                 ciflow/rocm/169514          -> ciflow/rocm/169514
2025-12-04T08:53:09.2112990Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-12-04T08:53:09.2113800Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-12-04T08:53:09.2115185Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-12-04T08:53:09.2115671Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-12-04T08:53:09.2116395Z  * [new tag]                 ciflow/slow/167207          -> ciflow/slow/167207
2025-12-04T08:53:09.2117087Z  * [new tag]                 ciflow/slow/168050          -> ciflow/slow/168050
2025-12-04T08:53:09.2118064Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-12-04T08:53:09.2119075Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-12-04T08:53:09.2120313Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-12-04T08:53:09.2121506Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-12-04T08:53:09.2122549Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-12-04T08:53:09.2123486Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-12-04T08:53:09.2124389Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-12-04T08:53:09.2125352Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-12-04T08:53:09.2126572Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-12-04T08:53:09.2127067Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-12-04T08:53:09.2128042Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-12-04T08:53:09.2128951Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-12-04T08:53:09.2129958Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-12-04T08:53:09.2130822Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-12-04T08:53:09.2132469Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-12-04T08:53:09.2133093Z  * [new tag]                 ciflow/torchbench/168175    -> ciflow/torchbench/168175
2025-12-04T08:53:09.2134052Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-12-04T08:53:09.2134764Z  * [new tag]                 ciflow/trunk/157149         -> ciflow/trunk/157149
2025-12-04T08:53:09.2135487Z  * [new tag]                 ciflow/trunk/157994         -> ciflow/trunk/157994
2025-12-04T08:53:09.2136532Z  * [new tag]                 ciflow/trunk/159718         -> ciflow/trunk/159718
2025-12-04T08:53:09.2137167Z  * [new tag]                 ciflow/trunk/160174         -> ciflow/trunk/160174
2025-12-04T08:53:09.2137863Z  * [new tag]                 ciflow/trunk/160685         -> ciflow/trunk/160685
2025-12-04T08:53:09.2138579Z  * [new tag]                 ciflow/trunk/160729         -> ciflow/trunk/160729
2025-12-04T08:53:09.2139284Z  * [new tag]                 ciflow/trunk/162275         -> ciflow/trunk/162275
2025-12-04T08:53:09.2140117Z  * [new tag]                 ciflow/trunk/162795         -> ciflow/trunk/162795
2025-12-04T08:53:09.2140810Z  * [new tag]                 ciflow/trunk/163245         -> ciflow/trunk/163245
2025-12-04T08:53:09.2141535Z  * [new tag]                 ciflow/trunk/163942         -> ciflow/trunk/163942
2025-12-04T08:53:09.2142606Z  * [new tag]                 ciflow/trunk/165274         -> ciflow/trunk/165274
2025-12-04T08:53:09.2143734Z  * [new tag]                 ciflow/trunk/165483         -> ciflow/trunk/165483
2025-12-04T08:53:09.2144666Z  * [new tag]                 ciflow/trunk/165728         -> ciflow/trunk/165728
2025-12-04T08:53:09.2145352Z  * [new tag]                 ciflow/trunk/165922         -> ciflow/trunk/165922
2025-12-04T08:53:09.2146692Z  * [new tag]                 ciflow/trunk/166075         -> ciflow/trunk/166075
2025-12-04T08:53:09.2147367Z  * [new tag]                 ciflow/trunk/166165         -> ciflow/trunk/166165
2025-12-04T08:53:09.2148120Z  * [new tag]                 ciflow/trunk/166829         -> ciflow/trunk/166829
2025-12-04T08:53:09.2149161Z  * [new tag]                 ciflow/trunk/166843         -> ciflow/trunk/166843
2025-12-04T08:53:09.2149839Z  * [new tag]                 ciflow/trunk/166876         -> ciflow/trunk/166876
2025-12-04T08:53:09.2150727Z  * [new tag]                 ciflow/trunk/167207         -> ciflow/trunk/167207
2025-12-04T08:53:09.2151410Z  * [new tag]                 ciflow/trunk/167536         -> ciflow/trunk/167536
2025-12-04T08:53:09.2152193Z  * [new tag]                 ciflow/trunk/167552         -> ciflow/trunk/167552
2025-12-04T08:53:09.2152937Z  * [new tag]                 ciflow/trunk/167555         -> ciflow/trunk/167555
2025-12-04T08:53:09.2153689Z  * [new tag]                 ciflow/trunk/167599         -> ciflow/trunk/167599
2025-12-04T08:53:09.2154560Z  * [new tag]                 ciflow/trunk/167659         -> ciflow/trunk/167659
2025-12-04T08:53:09.2155445Z  * [new tag]                 ciflow/trunk/167672         -> ciflow/trunk/167672
2025-12-04T08:53:09.2156140Z  * [new tag]                 ciflow/trunk/167742         -> ciflow/trunk/167742
2025-12-04T08:53:09.2156898Z  * [new tag]                 ciflow/trunk/167781         -> ciflow/trunk/167781
2025-12-04T08:53:09.2157948Z  * [new tag]                 ciflow/trunk/167837         -> ciflow/trunk/167837
2025-12-04T08:53:09.2158621Z  * [new tag]                 ciflow/trunk/167887         -> ciflow/trunk/167887
2025-12-04T08:53:09.2159479Z  * [new tag]                 ciflow/trunk/167978         -> ciflow/trunk/167978
2025-12-04T08:53:09.2160171Z  * [new tag]                 ciflow/trunk/168050         -> ciflow/trunk/168050
2025-12-04T08:53:09.2160970Z  * [new tag]                 ciflow/trunk/168051         -> ciflow/trunk/168051
2025-12-04T08:53:09.2161649Z  * [new tag]                 ciflow/trunk/168096         -> ciflow/trunk/168096
2025-12-04T08:53:09.2162414Z  * [new tag]                 ciflow/trunk/168127         -> ciflow/trunk/168127
2025-12-04T08:53:09.2163141Z  * [new tag]                 ciflow/trunk/168157         -> ciflow/trunk/168157
2025-12-04T08:53:09.2163876Z  * [new tag]                 ciflow/trunk/168175         -> ciflow/trunk/168175
2025-12-04T08:53:09.2164602Z  * [new tag]                 ciflow/trunk/168209         -> ciflow/trunk/168209
2025-12-04T08:53:09.2165605Z  * [new tag]                 ciflow/trunk/168213         -> ciflow/trunk/168213
2025-12-04T08:53:09.2166476Z  * [new tag]                 ciflow/trunk/168226         -> ciflow/trunk/168226
2025-12-04T08:53:09.2167177Z  * [new tag]                 ciflow/trunk/168262         -> ciflow/trunk/168262
2025-12-04T08:53:09.2167907Z  * [new tag]                 ciflow/trunk/168275         -> ciflow/trunk/168275
2025-12-04T08:53:09.2168870Z  * [new tag]                 ciflow/trunk/168328         -> ciflow/trunk/168328
2025-12-04T08:53:09.2169543Z  * [new tag]                 ciflow/trunk/168368         -> ciflow/trunk/168368
2025-12-04T08:53:09.2170274Z  * [new tag]                 ciflow/trunk/168917         -> ciflow/trunk/168917
2025-12-04T08:53:09.2171039Z  * [new tag]                 ciflow/trunk/168933         -> ciflow/trunk/168933
2025-12-04T08:53:09.2172107Z  * [new tag]                 ciflow/trunk/168941         -> ciflow/trunk/168941
2025-12-04T08:53:09.2172803Z  * [new tag]                 ciflow/trunk/168955         -> ciflow/trunk/168955
2025-12-04T08:53:09.2173544Z  * [new tag]                 ciflow/trunk/168980         -> ciflow/trunk/168980
2025-12-04T08:53:09.2174546Z  * [new tag]                 ciflow/trunk/169004         -> ciflow/trunk/169004
2025-12-04T08:53:09.2175274Z  * [new tag]                 ciflow/trunk/169006         -> ciflow/trunk/169006
2025-12-04T08:53:09.2176182Z  * [new tag]                 ciflow/trunk/169023         -> ciflow/trunk/169023
2025-12-04T08:53:09.2176941Z  * [new tag]                 ciflow/trunk/169025         -> ciflow/trunk/169025
2025-12-04T08:53:09.2177687Z  * [new tag]                 ciflow/trunk/169048         -> ciflow/trunk/169048
2025-12-04T08:53:09.2178569Z  * [new tag]                 ciflow/trunk/169066         -> ciflow/trunk/169066
2025-12-04T08:53:09.2179206Z  * [new tag]                 ciflow/trunk/169091         -> ciflow/trunk/169091
2025-12-04T08:53:09.2180130Z  * [new tag]                 ciflow/trunk/169102         -> ciflow/trunk/169102
2025-12-04T08:53:09.2180822Z  * [new tag]                 ciflow/trunk/169103         -> ciflow/trunk/169103
2025-12-04T08:53:09.2181766Z  * [new tag]                 ciflow/trunk/169125         -> ciflow/trunk/169125
2025-12-04T08:53:09.2182564Z  * [new tag]                 ciflow/trunk/169139         -> ciflow/trunk/169139
2025-12-04T08:53:09.2183537Z  * [new tag]                 ciflow/trunk/169148         -> ciflow/trunk/169148
2025-12-04T08:53:09.2184213Z  * [new tag]                 ciflow/trunk/169151         -> ciflow/trunk/169151
2025-12-04T08:53:09.2185077Z  * [new tag]                 ciflow/trunk/169156         -> ciflow/trunk/169156
2025-12-04T08:53:09.2185978Z  * [new tag]                 ciflow/trunk/169176         -> ciflow/trunk/169176
2025-12-04T08:53:09.2186685Z  * [new tag]                 ciflow/trunk/169204         -> ciflow/trunk/169204
2025-12-04T08:53:09.2187407Z  * [new tag]                 ciflow/trunk/169207         -> ciflow/trunk/169207
2025-12-04T08:53:09.2188312Z  * [new tag]                 ciflow/trunk/169211         -> ciflow/trunk/169211
2025-12-04T08:53:09.2189034Z  * [new tag]                 ciflow/trunk/169229         -> ciflow/trunk/169229
2025-12-04T08:53:09.2190060Z  * [new tag]                 ciflow/trunk/169231         -> ciflow/trunk/169231
2025-12-04T08:53:09.2190780Z  * [new tag]                 ciflow/trunk/169260         -> ciflow/trunk/169260
2025-12-04T08:53:09.2191941Z  * [new tag]                 ciflow/trunk/169271         -> ciflow/trunk/169271
2025-12-04T08:53:09.2192553Z  * [new tag]                 ciflow/trunk/169280         -> ciflow/trunk/169280
2025-12-04T08:53:09.2193277Z  * [new tag]                 ciflow/trunk/169281         -> ciflow/trunk/169281
2025-12-04T08:53:09.2194387Z  * [new tag]                 ciflow/trunk/169286         -> ciflow/trunk/169286
2025-12-04T08:53:09.2195332Z  * [new tag]                 ciflow/trunk/169293         -> ciflow/trunk/169293
2025-12-04T08:53:09.2196021Z  * [new tag]                 ciflow/trunk/169296         -> ciflow/trunk/169296
2025-12-04T08:53:09.2197024Z  * [new tag]                 ciflow/trunk/169304         -> ciflow/trunk/169304
2025-12-04T08:53:09.2197759Z  * [new tag]                 ciflow/trunk/169305         -> ciflow/trunk/169305
2025-12-04T08:53:09.2199197Z  * [new tag]                 ciflow/trunk/169312         -> ciflow/trunk/169312
2025-12-04T08:53:09.2200259Z  * [new tag]                 ciflow/trunk/169328         -> ciflow/trunk/169328
2025-12-04T08:53:09.2200949Z  * [new tag]                 ciflow/trunk/169343         -> ciflow/trunk/169343
2025-12-04T08:53:09.2201692Z  * [new tag]                 ciflow/trunk/169355         -> ciflow/trunk/169355
2025-12-04T08:53:09.2202540Z  * [new tag]                 ciflow/trunk/169370         -> ciflow/trunk/169370
2025-12-04T08:53:09.2203463Z  * [new tag]                 ciflow/trunk/169379         -> ciflow/trunk/169379
2025-12-04T08:53:09.2204127Z  * [new tag]                 ciflow/trunk/169380         -> ciflow/trunk/169380
2025-12-04T08:53:09.2204898Z  * [new tag]                 ciflow/trunk/169385         -> ciflow/trunk/169385
2025-12-04T08:53:09.2205654Z  * [new tag]                 ciflow/trunk/169387         -> ciflow/trunk/169387
2025-12-04T08:53:09.2206612Z  * [new tag]                 ciflow/trunk/169410         -> ciflow/trunk/169410
2025-12-04T08:53:09.2207313Z  * [new tag]                 ciflow/trunk/169412         -> ciflow/trunk/169412
2025-12-04T08:53:09.2208065Z  * [new tag]                 ciflow/trunk/169418         -> ciflow/trunk/169418
2025-12-04T08:53:09.2208930Z  * [new tag]                 ciflow/trunk/169423         -> ciflow/trunk/169423
2025-12-04T08:53:09.2209602Z  * [new tag]                 ciflow/trunk/169427         -> ciflow/trunk/169427
2025-12-04T08:53:09.2210366Z  * [new tag]                 ciflow/trunk/169430         -> ciflow/trunk/169430
2025-12-04T08:53:09.2211114Z  * [new tag]                 ciflow/trunk/169437         -> ciflow/trunk/169437
2025-12-04T08:53:09.2211878Z  * [new tag]                 ciflow/trunk/169442         -> ciflow/trunk/169442
2025-12-04T08:53:09.2212652Z  * [new tag]                 ciflow/trunk/169452         -> ciflow/trunk/169452
2025-12-04T08:53:09.2213393Z  * [new tag]                 ciflow/trunk/169454         -> ciflow/trunk/169454
2025-12-04T08:53:09.2214172Z  * [new tag]                 ciflow/trunk/169459         -> ciflow/trunk/169459
2025-12-04T08:53:09.2215152Z  * [new tag]                 ciflow/trunk/169474         -> ciflow/trunk/169474
2025-12-04T08:53:09.2215817Z  * [new tag]                 ciflow/trunk/169475         -> ciflow/trunk/169475
2025-12-04T08:53:09.2216559Z  * [new tag]                 ciflow/trunk/169476         -> ciflow/trunk/169476
2025-12-04T08:53:09.2217511Z  * [new tag]                 ciflow/trunk/169487         -> ciflow/trunk/169487
2025-12-04T08:53:09.2218274Z  * [new tag]                 ciflow/trunk/169497         -> ciflow/trunk/169497
2025-12-04T08:53:09.2219014Z  * [new tag]                 ciflow/trunk/169503         -> ciflow/trunk/169503
2025-12-04T08:53:09.2219860Z  * [new tag]                 ciflow/trunk/169505         -> ciflow/trunk/169505
2025-12-04T08:53:09.2220733Z  * [new tag]                 ciflow/trunk/169507         -> ciflow/trunk/169507
2025-12-04T08:53:09.2221413Z  * [new tag]                 ciflow/trunk/169514         -> ciflow/trunk/169514
2025-12-04T08:53:09.2222224Z  * [new tag]                 ciflow/trunk/169517         -> ciflow/trunk/169517
2025-12-04T08:53:09.2222896Z  * [new tag]                 ciflow/trunk/169519         -> ciflow/trunk/169519
2025-12-04T08:53:09.2223660Z  * [new tag]                 ciflow/trunk/169528         -> ciflow/trunk/169528
2025-12-04T08:53:09.2224598Z  * [new tag]                 ciflow/trunk/169541         -> ciflow/trunk/169541
2025-12-04T08:53:09.2225509Z  * [new tag]                 ciflow/trunk/169555         -> ciflow/trunk/169555
2025-12-04T08:53:09.2226645Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-12-04T08:53:09.2227963Z  * [new tag]                 ciflow/vllm/165270          -> ciflow/vllm/165270
2025-12-04T08:53:09.2228647Z  * [new tag]                 ciflow/vllm/165274          -> ciflow/vllm/165274
2025-12-04T08:53:09.2229339Z  * [new tag]                 ciflow/vllm/166494          -> ciflow/vllm/166494
2025-12-04T08:53:09.2230392Z  * [new tag]                 ciflow/vllm/169219          -> ciflow/vllm/169219
2025-12-04T08:53:09.2230971Z  * [new tag]                 ciflow/vllm/169220          -> ciflow/vllm/169220
2025-12-04T08:53:09.2231704Z  * [new tag]                 ciflow/xpu/157994           -> ciflow/xpu/157994
2025-12-04T08:53:09.2232441Z  * [new tag]                 ciflow/xpu/159718           -> ciflow/xpu/159718
2025-12-04T08:53:09.2233145Z  * [new tag]                 ciflow/xpu/161940           -> ciflow/xpu/161940
2025-12-04T08:53:09.2234064Z  * [new tag]                 ciflow/xpu/163251           -> ciflow/xpu/163251
2025-12-04T08:53:09.2234746Z  * [new tag]                 ciflow/xpu/166829           -> ciflow/xpu/166829
2025-12-04T08:53:09.2235421Z  * [new tag]                 ciflow/xpu/166843           -> ciflow/xpu/166843
2025-12-04T08:53:09.2236136Z  * [new tag]                 ciflow/xpu/167972           -> ciflow/xpu/167972
2025-12-04T08:53:09.2236851Z  * [new tag]                 ciflow/xpu/167981           -> ciflow/xpu/167981
2025-12-04T08:53:09.2237585Z  * [new tag]                 ciflow/xpu/168213           -> ciflow/xpu/168213
2025-12-04T08:53:09.2238316Z  * [new tag]                 ciflow/xpu/168262           -> ciflow/xpu/168262
2025-12-04T08:53:09.2239013Z  * [new tag]                 ciflow/xpu/168328           -> ciflow/xpu/168328
2025-12-04T08:53:09.2240622Z  * [new tag]                 ciflow/xpu/168950           -> ciflow/xpu/168950
2025-12-04T08:53:09.2241373Z  * [new tag]                 ciflow/xpu/169039           -> ciflow/xpu/169039
2025-12-04T08:53:09.2242524Z  * [new tag]                 ciflow/xpu/169200           -> ciflow/xpu/169200
2025-12-04T08:53:09.2243219Z  * [new tag]                 ciflow/xpu/169203           -> ciflow/xpu/169203
2025-12-04T08:53:09.2244000Z  * [new tag]                 ciflow/xpu/169229           -> ciflow/xpu/169229
2025-12-04T08:53:09.2244732Z  * [new tag]                 ciflow/xpu/169230           -> ciflow/xpu/169230
2025-12-04T08:53:09.2245458Z  * [new tag]                 ciflow/xpu/169231           -> ciflow/xpu/169231
2025-12-04T08:53:09.2246463Z  * [new tag]                 ciflow/xpu/169241           -> ciflow/xpu/169241
2025-12-04T08:53:09.2247532Z  * [new tag]                 ciflow/xpu/169280           -> ciflow/xpu/169280
2025-12-04T08:53:09.2248193Z  * [new tag]                 ciflow/xpu/169296           -> ciflow/xpu/169296
2025-12-04T08:53:09.2249397Z  * [new tag]                 ciflow/xpu/169353           -> ciflow/xpu/169353
2025-12-04T08:53:09.2250192Z  * [new tag]                 ciflow/xpu/169410           -> ciflow/xpu/169410
2025-12-04T08:53:09.2251129Z  * [new tag]                 ciflow/xpu/169442           -> ciflow/xpu/169442
2025-12-04T08:53:09.2251834Z  * [new tag]                 ciflow/xpu/169555           -> ciflow/xpu/169555
2025-12-04T08:53:09.2252780Z  * [new tag]                 cslpull75                   -> cslpull75
2025-12-04T08:53:09.2253528Z  * [new tag]                 cslpull76                   -> cslpull76
2025-12-04T08:53:09.2254636Z  * [new tag]                 cslpull77                   -> cslpull77
2025-12-04T08:53:09.2255220Z  * [new tag]                 cslpull78                   -> cslpull78
2025-12-04T08:53:09.2256318Z  * [new tag]                 cslpull79                   -> cslpull79
2025-12-04T08:53:09.2257430Z  * [new tag]                 cslpull80                   -> cslpull80
2025-12-04T08:53:09.2258416Z  * [new tag]                 cslpull81                   -> cslpull81
2025-12-04T08:53:09.2259136Z  * [new tag]                 cslpull82                   -> cslpull82
2025-12-04T08:53:09.2260029Z  * [new tag]                 cslpull83                   -> cslpull83
2025-12-04T08:53:09.2261033Z  * [new tag]                 cslpull84                   -> cslpull84
2025-12-04T08:53:09.2261801Z  * [new tag]                 cslpull85                   -> cslpull85
2025-12-04T08:53:09.2262829Z  * [new tag]                 cslpull86                   -> cslpull86
2025-12-04T08:53:09.2263569Z  * [new tag]                 cslpull87                   -> cslpull87
2025-12-04T08:53:09.2264527Z  * [new tag]                 cslpull88                   -> cslpull88
2025-12-04T08:53:09.2265316Z  * [new tag]                 cslpull89                   -> cslpull89
2025-12-04T08:53:09.2266002Z  * [new tag]                 cslpull90                   -> cslpull90
2025-12-04T08:53:09.2267688Z  * [new tag]                 cslpull91                   -> cslpull91
2025-12-04T08:53:09.2268461Z  * [new tag]                 cslpull92                   -> cslpull92
2025-12-04T08:53:09.2269522Z  * [new tag]                 flight_5                    -> flight_5
2025-12-04T08:53:09.2270586Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-12-04T08:53:09.2271326Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-12-04T08:53:09.2272321Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-12-04T08:53:09.2273161Z  * [new tag]                 forpull1                    -> forpull1
2025-12-04T08:53:09.2274541Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-12-04T08:53:09.2275646Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-12-04T08:53:09.2276774Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-12-04T08:53:09.2277640Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-12-04T08:53:09.2278822Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-12-04T08:53:09.2279853Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-12-04T08:53:09.2281131Z  * [new tag]                 trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272
2025-12-04T08:53:09.2281935Z  * [new tag]                 trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e
2025-12-04T08:53:09.2283079Z  * [new tag]                 trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88
2025-12-04T08:53:09.2284146Z  * [new tag]                 trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654
2025-12-04T08:53:09.2285103Z  * [new tag]                 trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb
2025-12-04T08:53:09.2285990Z  * [new tag]                 trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b
2025-12-04T08:53:09.2286868Z  * [new tag]                 trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672
2025-12-04T08:53:09.2287738Z  * [new tag]                 trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75
2025-12-04T08:53:09.2288825Z  * [new tag]                 trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2
2025-12-04T08:53:09.2289877Z  * [new tag]                 trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5
2025-12-04T08:53:09.2290713Z  * [new tag]                 trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688
2025-12-04T08:53:09.2291615Z  * [new tag]                 trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10
2025-12-04T08:53:09.2292535Z  * [new tag]                 trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec
2025-12-04T08:53:09.2293716Z  * [new tag]                 trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f
2025-12-04T08:53:09.2295188Z  * [new tag]                 trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11
2025-12-04T08:53:09.2295811Z  * [new tag]                 trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63
2025-12-04T08:53:09.2297350Z  * [new tag]                 trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5
2025-12-04T08:53:09.2300670Z  * [new tag]                 trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676
2025-12-04T08:53:09.2301069Z  * [new tag]                 trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e
2025-12-04T08:53:09.2301467Z  * [new tag]                 trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520
2025-12-04T08:53:09.2301993Z  * [new tag]                 trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8
2025-12-04T08:53:09.2302426Z  * [new tag]                 trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c
2025-12-04T08:53:09.2303157Z  * [new tag]                 trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d
2025-12-04T08:53:09.2304038Z  * [new tag]                 trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8
2025-12-04T08:53:09.2305098Z  * [new tag]                 trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de
2025-12-04T08:53:09.2305963Z  * [new tag]                 trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543
2025-12-04T08:53:09.2306872Z  * [new tag]                 trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7
2025-12-04T08:53:09.2307783Z  * [new tag]                 trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f
2025-12-04T08:53:09.2309416Z  * [new tag]                 trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9
2025-12-04T08:53:09.2310206Z  * [new tag]                 trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87
2025-12-04T08:53:09.2311087Z  * [new tag]                 trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc
2025-12-04T08:53:09.2311958Z  * [new tag]                 trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25
2025-12-04T08:53:09.2313895Z  * [new tag]                 trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563
2025-12-04T08:53:09.2314616Z  * [new tag]                 trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf
2025-12-04T08:53:09.2315402Z  * [new tag]                 trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd
2025-12-04T08:53:09.2316499Z  * [new tag]                 trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1
2025-12-04T08:53:09.2317299Z  * [new tag]                 trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708
2025-12-04T08:53:09.2318542Z  * [new tag]                 trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35
2025-12-04T08:53:09.2319271Z  * [new tag]                 trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec
2025-12-04T08:53:09.2320193Z  * [new tag]                 trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94
2025-12-04T08:53:09.2321038Z  * [new tag]                 trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1
2025-12-04T08:53:09.2321925Z  * [new tag]                 trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48
2025-12-04T08:53:09.2322804Z  * [new tag]                 trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991
2025-12-04T08:53:09.2323674Z  * [new tag]                 trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8
2025-12-04T08:53:09.2324545Z  * [new tag]                 trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf
2025-12-04T08:53:09.2325503Z  * [new tag]                 trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee
2025-12-04T08:53:09.2326426Z  * [new tag]                 trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938
2025-12-04T08:53:09.2327202Z  * [new tag]                 trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725
2025-12-04T08:53:09.2328079Z  * [new tag]                 trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae
2025-12-04T08:53:09.2328962Z  * [new tag]                 trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f
2025-12-04T08:53:09.2329853Z  * [new tag]                 trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c
2025-12-04T08:53:09.2330780Z  * [new tag]                 trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247
2025-12-04T08:53:09.2331669Z  * [new tag]                 trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c
2025-12-04T08:53:09.2332895Z  * [new tag]                 trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a
2025-12-04T08:53:09.2333646Z  * [new tag]                 trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686
2025-12-04T08:53:09.2335010Z  * [new tag]                 trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54
2025-12-04T08:53:09.2335799Z  * [new tag]                 trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af
2025-12-04T08:53:09.2336762Z  * [new tag]                 trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96
2025-12-04T08:53:09.2337643Z  * [new tag]                 trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873
2025-12-04T08:53:09.2338560Z  * [new tag]                 trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985
2025-12-04T08:53:09.2339342Z  * [new tag]                 trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f
2025-12-04T08:53:09.2340724Z  * [new tag]                 trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa
2025-12-04T08:53:09.2341649Z  * [new tag]                 trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c
2025-12-04T08:53:09.2343081Z  * [new tag]                 trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a
2025-12-04T08:53:09.2343891Z  * [new tag]                 trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d
2025-12-04T08:53:09.2344786Z  * [new tag]                 trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9
2025-12-04T08:53:09.2345698Z  * [new tag]                 trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3
2025-12-04T08:53:09.2346687Z  * [new tag]                 trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a
2025-12-04T08:53:09.2347633Z  * [new tag]                 trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292
2025-12-04T08:53:09.2348575Z  * [new tag]                 trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28
2025-12-04T08:53:09.2349478Z  * [new tag]                 trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66
2025-12-04T08:53:09.2350460Z  * [new tag]                 trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96
2025-12-04T08:53:09.2351182Z  * [new tag]                 trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc
2025-12-04T08:53:09.2352127Z  * [new tag]                 trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068
2025-12-04T08:53:09.2353330Z  * [new tag]                 trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd
2025-12-04T08:53:09.2354110Z  * [new tag]                 trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6
2025-12-04T08:53:09.2355088Z  * [new tag]                 trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883
2025-12-04T08:53:09.2356357Z  * [new tag]                 trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c
2025-12-04T08:53:09.2357248Z  * [new tag]                 trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b
2025-12-04T08:53:09.2358042Z  * [new tag]                 trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c
2025-12-04T08:53:09.2358892Z  * [new tag]                 trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202
2025-12-04T08:53:09.2359860Z  * [new tag]                 trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447
2025-12-04T08:53:09.2360849Z  * [new tag]                 trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef
2025-12-04T08:53:09.2361746Z  * [new tag]                 trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719
2025-12-04T08:53:09.2362651Z  * [new tag]                 trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b
2025-12-04T08:53:09.2363558Z  * [new tag]                 trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a
2025-12-04T08:53:09.2364540Z  * [new tag]                 trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206
2025-12-04T08:53:09.2365427Z  * [new tag]                 trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386
2025-12-04T08:53:09.2366355Z  * [new tag]                 trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4
2025-12-04T08:53:09.2367239Z  * [new tag]                 trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d
2025-12-04T08:53:09.2368559Z  * [new tag]                 trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b
2025-12-04T08:53:09.2369400Z  * [new tag]                 trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5
2025-12-04T08:53:09.2370740Z  * [new tag]                 trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8
2025-12-04T08:53:09.2371682Z  * [new tag]                 trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec
2025-12-04T08:53:09.2372582Z  * [new tag]                 trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71
2025-12-04T08:53:09.2373864Z  * [new tag]                 trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d
2025-12-04T08:53:09.2374704Z  * [new tag]                 trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a
2025-12-04T08:53:09.2375919Z  * [new tag]                 trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e
2025-12-04T08:53:09.2377113Z  * [new tag]                 trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8
2025-12-04T08:53:09.2377915Z  * [new tag]                 trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485
2025-12-04T08:53:09.2378999Z  * [new tag]                 trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734
2025-12-04T08:53:09.2379868Z  * [new tag]                 trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f
2025-12-04T08:53:09.2380967Z  * [new tag]                 trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696
2025-12-04T08:53:09.2381795Z  * [new tag]                 trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03
2025-12-04T08:53:09.2382755Z  * [new tag]                 trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6
2025-12-04T08:53:09.2383726Z  * [new tag]                 trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7
2025-12-04T08:53:09.2384495Z  * [new tag]                 trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3
2025-12-04T08:53:09.2385344Z  * [new tag]                 trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca
2025-12-04T08:53:09.2386240Z  * [new tag]                 trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b
2025-12-04T08:53:09.2387209Z  * [new tag]                 trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609
2025-12-04T08:53:09.2388119Z  * [new tag]                 trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b
2025-12-04T08:53:09.2388887Z  * [new tag]                 trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9
2025-12-04T08:53:09.2389675Z  * [new tag]                 trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8
2025-12-04T08:53:09.2390644Z  * [new tag]                 trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed
2025-12-04T08:53:09.2391580Z  * [new tag]                 trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8
2025-12-04T08:53:09.2392856Z  * [new tag]                 trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e
2025-12-04T08:53:09.2393554Z  * [new tag]                 trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead
2025-12-04T08:53:09.2394450Z  * [new tag]                 trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718
2025-12-04T08:53:09.2395941Z  * [new tag]                 trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0
2025-12-04T08:53:09.2397142Z  * [new tag]                 trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75
2025-12-04T08:53:09.2397982Z  * [new tag]                 trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece
2025-12-04T08:53:09.2398776Z  * [new tag]                 trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6
2025-12-04T08:53:09.2399965Z  * [new tag]                 trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4
2025-12-04T08:53:09.2400770Z  * [new tag]                 trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c
2025-12-04T08:53:09.2401701Z  * [new tag]                 trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43
2025-12-04T08:53:09.2402805Z  * [new tag]                 trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922
2025-12-04T08:53:09.2403708Z  * [new tag]                 trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca
2025-12-04T08:53:09.2404687Z  * [new tag]                 trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38
2025-12-04T08:53:09.2405482Z  * [new tag]                 trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90
2025-12-04T08:53:09.2406282Z  * [new tag]                 trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c
2025-12-04T08:53:09.2407161Z  * [new tag]                 trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87
2025-12-04T08:53:09.2408304Z  * [new tag]                 trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693
2025-12-04T08:53:09.2409152Z  * [new tag]                 trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa
2025-12-04T08:53:09.2410119Z  * [new tag]                 trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d
2025-12-04T08:53:09.2411014Z  * [new tag]                 trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639
2025-12-04T08:53:09.2411891Z  * [new tag]                 trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8
2025-12-04T08:53:09.2413191Z  * [new tag]                 trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d
2025-12-04T08:53:09.2414035Z  * [new tag]                 trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a
2025-12-04T08:53:09.2415257Z  * [new tag]                 trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742
2025-12-04T08:53:09.2416195Z  * [new tag]                 trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098
2025-12-04T08:53:09.2417144Z  * [new tag]                 trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa
2025-12-04T08:53:09.2418070Z  * [new tag]                 trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d
2025-12-04T08:53:09.2419435Z  * [new tag]                 trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c
2025-12-04T08:53:09.2420478Z  * [new tag]                 trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90
2025-12-04T08:53:09.2421383Z  * [new tag]                 trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c
2025-12-04T08:53:09.2422203Z  * [new tag]                 trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45
2025-12-04T08:53:09.2423156Z  * [new tag]                 trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109
2025-12-04T08:53:09.2424115Z  * [new tag]                 trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e
2025-12-04T08:53:09.2424968Z  * [new tag]                 trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e
2025-12-04T08:53:09.2425790Z  * [new tag]                 trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e
2025-12-04T08:53:09.2426565Z  * [new tag]                 trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48
2025-12-04T08:53:09.2427499Z  * [new tag]                 trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62
2025-12-04T08:53:09.2428582Z  * [new tag]                 trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2
2025-12-04T08:53:09.2429502Z  * [new tag]                 trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99
2025-12-04T08:53:09.2430393Z  * [new tag]                 trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24
2025-12-04T08:53:09.2431340Z  * [new tag]                 trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7
2025-12-04T08:53:09.2433099Z  * [new tag]                 trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a
2025-12-04T08:53:09.2434178Z  * [new tag]                 trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417
2025-12-04T08:53:09.2435364Z  * [new tag]                 trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4
2025-12-04T08:53:09.2436268Z  * [new tag]                 trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b
2025-12-04T08:53:09.2437248Z  * [new tag]                 trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e
2025-12-04T08:53:09.2438190Z  * [new tag]                 trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf
2025-12-04T08:53:09.2439108Z  * [new tag]                 trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5
2025-12-04T08:53:09.2440284Z  * [new tag]                 trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f
2025-12-04T08:53:09.2441216Z  * [new tag]                 trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f
2025-12-04T08:53:09.2442156Z  * [new tag]                 trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2
2025-12-04T08:53:09.2443060Z  * [new tag]                 trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55
2025-12-04T08:53:09.2444153Z  * [new tag]                 trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8
2025-12-04T08:53:09.2445164Z  * [new tag]                 trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09
2025-12-04T08:53:09.2446043Z  * [new tag]                 trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5
2025-12-04T08:53:09.2447290Z  * [new tag]                 trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564
2025-12-04T08:53:09.2448170Z  * [new tag]                 trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede
2025-12-04T08:53:09.2449156Z  * [new tag]                 trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac
2025-12-04T08:53:09.2450059Z  * [new tag]                 trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb
2025-12-04T08:53:09.2450893Z  * [new tag]                 trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1
2025-12-04T08:53:09.2452069Z  * [new tag]                 trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0
2025-12-04T08:53:09.2454231Z  * [new tag]                 trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09
2025-12-04T08:53:09.2455082Z  * [new tag]                 trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9
2025-12-04T08:53:09.2456292Z  * [new tag]                 trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a
2025-12-04T08:53:09.2457233Z  * [new tag]                 trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace
2025-12-04T08:53:09.2458120Z  * [new tag]                 trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39
2025-12-04T08:53:09.2459081Z  * [new tag]                 trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50
2025-12-04T08:53:09.2460051Z  * [new tag]                 trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01
2025-12-04T08:53:09.2461208Z  * [new tag]                 trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf
2025-12-04T08:53:09.2462051Z  * [new tag]                 trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8
2025-12-04T08:53:09.2462941Z  * [new tag]                 trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d
2025-12-04T08:53:09.2463883Z  * [new tag]                 trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47
2025-12-04T08:53:09.2464832Z  * [new tag]                 trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1
2025-12-04T08:53:09.2465734Z  * [new tag]                 trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e
2025-12-04T08:53:09.2466866Z  * [new tag]                 trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a
2025-12-04T08:53:09.2467727Z  * [new tag]                 trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b
2025-12-04T08:53:09.2468653Z  * [new tag]                 trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec
2025-12-04T08:53:09.2469776Z  * [new tag]                 trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf
2025-12-04T08:53:09.2470549Z  * [new tag]                 trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd
2025-12-04T08:53:09.2471583Z  * [new tag]                 trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889
2025-12-04T08:53:09.2472433Z  * [new tag]                 trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77
2025-12-04T08:53:09.2473743Z  * [new tag]                 trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c
2025-12-04T08:53:09.2474676Z  * [new tag]                 trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b
2025-12-04T08:53:09.2475593Z  * [new tag]                 trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235
2025-12-04T08:53:09.2476795Z  * [new tag]                 trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e
2025-12-04T08:53:09.2477774Z  * [new tag]                 trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc
2025-12-04T08:53:09.2478729Z  * [new tag]                 trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf
2025-12-04T08:53:09.2479649Z  * [new tag]                 trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e
2025-12-04T08:53:09.2480964Z  * [new tag]                 trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e
2025-12-04T08:53:09.2482365Z  * [new tag]                 trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2
2025-12-04T08:53:09.2483250Z  * [new tag]                 trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4
2025-12-04T08:53:09.2484445Z  * [new tag]                 trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53
2025-12-04T08:53:09.2485354Z  * [new tag]                 trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598
2025-12-04T08:53:09.2486315Z  * [new tag]                 trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40
2025-12-04T08:53:09.2487237Z  * [new tag]                 trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56
2025-12-04T08:53:09.2488179Z  * [new tag]                 trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8
2025-12-04T08:53:09.2489023Z  * [new tag]                 trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467
2025-12-04T08:53:09.2489950Z  * [new tag]                 trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17
2025-12-04T08:53:09.2490902Z  * [new tag]                 trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73
2025-12-04T08:53:09.2491718Z  * [new tag]                 trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7
2025-12-04T08:53:09.2492867Z  * [new tag]                 trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b
2025-12-04T08:53:09.2493686Z  * [new tag]                 trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7
2025-12-04T08:53:09.2495176Z  * [new tag]                 trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307
2025-12-04T08:53:09.2496023Z  * [new tag]                 trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009
2025-12-04T08:53:09.2496877Z  * [new tag]                 trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:53:09.2497527Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-12-04T08:53:09.2498657Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-12-04T08:53:09.2499365Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-12-04T08:53:09.2501324Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-12-04T08:53:09.2502160Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-12-04T08:53:09.2503064Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-12-04T08:53:09.2503897Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-12-04T08:53:09.2505051Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-12-04T08:53:09.2505944Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-12-04T08:53:09.2506902Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-12-04T08:53:09.2507789Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-12-04T08:53:09.2508699Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-12-04T08:53:09.2509540Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-12-04T08:53:09.2510414Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-12-04T08:53:09.2511358Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-12-04T08:53:09.2512258Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-12-04T08:53:09.2513095Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-12-04T08:53:09.2513934Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-12-04T08:53:09.2514847Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-12-04T08:53:09.2515715Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-12-04T08:53:09.2516603Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-12-04T08:53:09.2517273Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-12-04T08:53:09.2518172Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-12-04T08:53:09.2519110Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-12-04T08:53:09.2520143Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-12-04T08:53:09.2521095Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-12-04T08:53:09.2521973Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-12-04T08:53:09.2522700Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-12-04T08:53:09.2523579Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-12-04T08:53:09.2524252Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-12-04T08:53:09.2524954Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-12-04T08:53:09.2525682Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-12-04T08:53:09.2526623Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-12-04T08:53:09.2527691Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-12-04T08:53:09.2528645Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-12-04T08:53:09.2529722Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-12-04T08:53:09.2530852Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-12-04T08:53:09.2531902Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-12-04T08:53:09.2532605Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-12-04T08:53:09.2533279Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-12-04T08:53:09.2534489Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-12-04T08:53:09.2535405Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-12-04T08:53:09.2536309Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-12-04T08:53:09.2537305Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-12-04T08:53:09.2538518Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-12-04T08:53:09.2539487Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-12-04T08:53:09.2540749Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-12-04T08:53:09.2541447Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-12-04T08:53:09.2542155Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-12-04T08:53:09.2542874Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-12-04T08:53:09.2543953Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-12-04T08:53:09.2544867Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-12-04T08:53:09.2545850Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-12-04T08:53:09.2546784Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-12-04T08:53:09.2548237Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-12-04T08:53:09.2549218Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-12-04T08:53:09.2550365Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-12-04T08:53:09.2551233Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-12-04T08:53:09.2552130Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-12-04T08:53:09.2553179Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-12-04T08:53:09.2553897Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-12-04T08:53:09.2554792Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-12-04T08:53:09.2555572Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-12-04T08:53:09.2556296Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-12-04T08:53:09.2557208Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-12-04T08:53:09.2558493Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-12-04T08:53:09.2559791Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-12-04T08:53:09.2560356Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-12-04T08:53:09.2561087Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-12-04T08:53:09.2562028Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-12-04T08:53:09.2562924Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-12-04T08:53:09.2563582Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-12-04T08:53:09.2564628Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-12-04T08:53:09.2565570Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-12-04T08:53:09.2566482Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-12-04T08:53:09.2567436Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-12-04T08:53:09.2568474Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-12-04T08:53:09.2569147Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-12-04T08:53:09.2570418Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-12-04T08:53:09.2571021Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-12-04T08:53:09.2571764Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-12-04T08:53:09.2572775Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-12-04T08:53:09.2573706Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-12-04T08:53:09.2574653Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-12-04T08:53:09.2576038Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-12-04T08:53:09.2579072Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-12-04T08:53:09.2580142Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-12-04T08:53:09.2580842Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-12-04T08:53:09.2581825Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-12-04T08:53:09.2582745Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-12-04T08:53:09.2583905Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-12-04T08:53:09.2584821Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-12-04T08:53:09.2585428Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-12-04T08:53:09.2586402Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-12-04T08:53:09.2587538Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-12-04T08:53:09.2588447Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-12-04T08:53:09.2589173Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-12-04T08:53:09.2590270Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-12-04T08:53:09.2590892Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-12-04T08:53:09.2591837Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-12-04T08:53:09.2592729Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-12-04T08:53:09.2593638Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-12-04T08:53:09.2594350Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-12-04T08:53:09.2595043Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-12-04T08:53:09.2595989Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-12-04T08:53:09.2596693Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-12-04T08:53:09.2597372Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-12-04T08:53:09.2598886Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-12-04T08:53:09.2599479Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-12-04T08:53:09.2600414Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-12-04T08:53:09.2601322Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-12-04T08:53:09.2602276Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-12-04T08:53:09.2603175Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-12-04T08:53:09.2603924Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-12-04T08:53:09.2604876Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-12-04T08:53:09.2605919Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-12-04T08:53:09.2606610Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-12-04T08:53:09.2607730Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-12-04T08:53:09.2609014Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-12-04T08:53:09.2609835Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-12-04T08:53:09.2610825Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-12-04T08:53:09.2611717Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-12-04T08:53:09.2612652Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-12-04T08:53:09.2613327Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-12-04T08:53:09.2614294Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-12-04T08:53:09.2615377Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-12-04T08:53:09.2616007Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-12-04T08:53:09.2616846Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-12-04T08:53:09.2617501Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-12-04T08:53:09.2619135Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-12-04T08:53:09.2619989Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-12-04T08:53:09.2620964Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-12-04T08:53:09.2621941Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-12-04T08:53:09.2622902Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-12-04T08:53:09.2623867Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-12-04T08:53:09.2624569Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-12-04T08:53:09.2625485Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-12-04T08:53:09.2626380Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-12-04T08:53:09.2627492Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-12-04T08:53:09.2628470Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-12-04T08:53:09.2629394Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-12-04T08:53:09.2630303Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-12-04T08:53:09.2631035Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-12-04T08:53:09.2631930Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-12-04T08:53:09.2632888Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-12-04T08:53:09.2633844Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-12-04T08:53:09.2634536Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-12-04T08:53:09.2635474Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-12-04T08:53:09.2636436Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-12-04T08:53:09.2637296Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-12-04T08:53:09.2638170Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-12-04T08:53:09.2639063Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-12-04T08:53:09.2639917Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-12-04T08:53:09.2640860Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-12-04T08:53:09.2641547Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-12-04T08:53:09.2642368Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-12-04T08:53:09.2643188Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-12-04T08:53:09.2644153Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-12-04T08:53:09.2644848Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-12-04T08:53:09.2645531Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-12-04T08:53:09.2646255Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-12-04T08:53:09.2647516Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-12-04T08:53:09.2648129Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-12-04T08:53:09.2648827Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-12-04T08:53:09.2649807Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-12-04T08:53:09.2650718Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-12-04T08:53:09.2651850Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-12-04T08:53:09.2652722Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-12-04T08:53:09.2653438Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-12-04T08:53:09.2654417Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-12-04T08:53:09.2655343Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-12-04T08:53:09.2656265Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-12-04T08:53:09.2657147Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-12-04T08:53:09.2657866Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-12-04T08:53:09.2658792Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-12-04T08:53:09.2659815Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-12-04T08:53:09.2660529Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-12-04T08:53:09.2661288Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-12-04T08:53:09.2662275Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-12-04T08:53:09.2663154Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-12-04T08:53:09.2664118Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-12-04T08:53:09.2665114Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-12-04T08:53:09.2666566Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-12-04T08:53:09.2667328Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-12-04T08:53:09.2668254Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-12-04T08:53:09.2669181Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-12-04T08:53:09.2670166Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-12-04T08:53:09.2671089Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-12-04T08:53:09.2672035Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-12-04T08:53:09.2672931Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-12-04T08:53:09.2673921Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-12-04T08:53:09.2674607Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-12-04T08:53:09.2675882Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-12-04T08:53:09.2679105Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-12-04T08:53:09.2679399Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-12-04T08:53:09.2679644Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-12-04T08:53:09.2680122Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-12-04T08:53:09.2680509Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-12-04T08:53:09.2681379Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-12-04T08:53:09.2682301Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-12-04T08:53:09.2683199Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-12-04T08:53:09.2684141Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-12-04T08:53:09.2685132Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-12-04T08:53:09.2686067Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-12-04T08:53:09.2687036Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-12-04T08:53:09.2687951Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-12-04T08:53:09.2688643Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-12-04T08:53:09.2689388Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-12-04T08:53:09.2690207Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-12-04T08:53:09.2691139Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-12-04T08:53:09.2692097Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-12-04T08:53:09.2693106Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-12-04T08:53:09.2693960Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-12-04T08:53:09.2695214Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-12-04T08:53:09.2696211Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-12-04T08:53:09.2697117Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-12-04T08:53:09.2698186Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-12-04T08:53:09.2699108Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-12-04T08:53:09.2701228Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-12-04T08:53:09.2702033Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-12-04T08:53:09.2702773Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-12-04T08:53:09.2703967Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-12-04T08:53:09.2704892Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-12-04T08:53:09.2705847Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-12-04T08:53:09.2706724Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-12-04T08:53:09.2707835Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-12-04T08:53:09.2708710Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-12-04T08:53:09.2709730Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-12-04T08:53:09.2710729Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-12-04T08:53:09.2711448Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-12-04T08:53:09.2712430Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-12-04T08:53:09.2713384Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-12-04T08:53:09.2714420Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-12-04T08:53:09.2715401Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-12-04T08:53:09.2716343Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-12-04T08:53:09.2717189Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-12-04T08:53:09.2718111Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-12-04T08:53:09.2719039Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-12-04T08:53:09.2720180Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-12-04T08:53:09.2721058Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-12-04T08:53:09.2722222Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-12-04T08:53:09.2723114Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-12-04T08:53:09.2724075Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-12-04T08:53:09.2725009Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-12-04T08:53:09.2726015Z  * [new tag]                 v2.9.0                      -> v2.9.0
2025-12-04T08:53:09.2726972Z  * [new tag]                 v2.9.0-rc1                  -> v2.9.0-rc1
2025-12-04T08:53:09.2728445Z  * [new tag]                 v2.9.0-rc10                 -> v2.9.0-rc10
2025-12-04T08:53:09.2729340Z  * [new tag]                 v2.9.0-rc11                 -> v2.9.0-rc11
2025-12-04T08:53:09.2730656Z  * [new tag]                 v2.9.0-rc2                  -> v2.9.0-rc2
2025-12-04T08:53:09.2731660Z  * [new tag]                 v2.9.0-rc3                  -> v2.9.0-rc3
2025-12-04T08:53:09.2732551Z  * [new tag]                 v2.9.0-rc4                  -> v2.9.0-rc4
2025-12-04T08:53:09.2733530Z  * [new tag]                 v2.9.0-rc5                  -> v2.9.0-rc5
2025-12-04T08:53:09.2734835Z  * [new tag]                 v2.9.0-rc6                  -> v2.9.0-rc6
2025-12-04T08:53:09.2735653Z  * [new tag]                 v2.9.0-rc7                  -> v2.9.0-rc7
2025-12-04T08:53:09.2736925Z  * [new tag]                 v2.9.0-rc8                  -> v2.9.0-rc8
2025-12-04T08:53:09.2737503Z  * [new tag]                 v2.9.0-rc9                  -> v2.9.0-rc9
2025-12-04T08:53:09.2738285Z  * [new tag]                 v2.9.1                      -> v2.9.1
2025-12-04T08:53:09.2739474Z  * [new tag]                 v2.9.1-rc1                  -> v2.9.1-rc1
2025-12-04T08:53:09.2740485Z  * [new tag]                 v2.9.1-rc2                  -> v2.9.1-rc2
2025-12-04T08:53:09.2742021Z  * [new tag]                 viable/strict/1759343184    -> viable/strict/1759343184
2025-12-04T08:53:09.2742928Z  * [new tag]                 viable/strict/1759346540    -> viable/strict/1759346540
2025-12-04T08:53:09.2743747Z  * [new tag]                 viable/strict/1759348181    -> viable/strict/1759348181
2025-12-04T08:53:09.2744662Z  * [new tag]                 viable/strict/1759350324    -> viable/strict/1759350324
2025-12-04T08:53:09.2745691Z  * [new tag]                 viable/strict/1759351793    -> viable/strict/1759351793
2025-12-04T08:53:09.2746621Z  * [new tag]                 viable/strict/1759353844    -> viable/strict/1759353844
2025-12-04T08:53:09.2747516Z  * [new tag]                 viable/strict/1759355374    -> viable/strict/1759355374
2025-12-04T08:53:09.2748358Z  * [new tag]                 viable/strict/1759357472    -> viable/strict/1759357472
2025-12-04T08:53:09.2749200Z  * [new tag]                 viable/strict/1759361002    -> viable/strict/1759361002
2025-12-04T08:53:09.2750520Z  * [new tag]                 viable/strict/1759362585    -> viable/strict/1759362585
2025-12-04T08:53:09.2751496Z  * [new tag]                 viable/strict/1759365359    -> viable/strict/1759365359
2025-12-04T08:53:09.2752417Z  * [new tag]                 viable/strict/1759370089    -> viable/strict/1759370089
2025-12-04T08:53:09.2753341Z  * [new tag]                 viable/strict/1759377554    -> viable/strict/1759377554
2025-12-04T08:53:09.2754363Z  * [new tag]                 viable/strict/1759379133    -> viable/strict/1759379133
2025-12-04T08:53:09.2755231Z  * [new tag]                 viable/strict/1759389871    -> viable/strict/1759389871
2025-12-04T08:53:09.2756177Z  * [new tag]                 viable/strict/1759393562    -> viable/strict/1759393562
2025-12-04T08:53:09.2757055Z  * [new tag]                 viable/strict/1759395076    -> viable/strict/1759395076
2025-12-04T08:53:09.2758078Z  * [new tag]                 viable/strict/1759398579    -> viable/strict/1759398579
2025-12-04T08:53:09.2758982Z  * [new tag]                 viable/strict/1759404142    -> viable/strict/1759404142
2025-12-04T08:53:09.2759865Z  * [new tag]                 viable/strict/1759405773    -> viable/strict/1759405773
2025-12-04T08:53:09.2760775Z  * [new tag]                 viable/strict/1759408041    -> viable/strict/1759408041
2025-12-04T08:53:09.2761685Z  * [new tag]                 viable/strict/1759411593    -> viable/strict/1759411593
2025-12-04T08:53:09.2762670Z  * [new tag]                 viable/strict/1759427395    -> viable/strict/1759427395
2025-12-04T08:53:09.2763544Z  * [new tag]                 viable/strict/1759434582    -> viable/strict/1759434582
2025-12-04T08:53:09.2764461Z  * [new tag]                 viable/strict/1759436720    -> viable/strict/1759436720
2025-12-04T08:53:09.2765419Z  * [new tag]                 viable/strict/1759440219    -> viable/strict/1759440219
2025-12-04T08:53:09.2766317Z  * [new tag]                 viable/strict/1759441948    -> viable/strict/1759441948
2025-12-04T08:53:09.2767415Z  * [new tag]                 viable/strict/1759443860    -> viable/strict/1759443860
2025-12-04T08:53:09.2768224Z  * [new tag]                 viable/strict/1759445377    -> viable/strict/1759445377
2025-12-04T08:53:09.2769201Z  * [new tag]                 viable/strict/1759447415    -> viable/strict/1759447415
2025-12-04T08:53:09.2770080Z  * [new tag]                 viable/strict/1759451750    -> viable/strict/1759451750
2025-12-04T08:53:09.2771037Z  * [new tag]                 viable/strict/1759453910    -> viable/strict/1759453910
2025-12-04T08:53:09.2771981Z  * [new tag]                 viable/strict/1759456483    -> viable/strict/1759456483
2025-12-04T08:53:09.2772967Z  * [new tag]                 viable/strict/1759459279    -> viable/strict/1759459279
2025-12-04T08:53:09.2773905Z  * [new tag]                 viable/strict/1759460742    -> viable/strict/1759460742
2025-12-04T08:53:09.2774840Z  * [new tag]                 viable/strict/1759462025    -> viable/strict/1759462025
2025-12-04T08:53:09.2775895Z  * [new tag]                 viable/strict/1759469086    -> viable/strict/1759469086
2025-12-04T08:53:09.2777120Z  * [new tag]                 viable/strict/1759470581    -> viable/strict/1759470581
2025-12-04T08:53:09.2777956Z  * [new tag]                 viable/strict/1759472786    -> viable/strict/1759472786
2025-12-04T08:53:09.2778905Z  * [new tag]                 viable/strict/1759476294    -> viable/strict/1759476294
2025-12-04T08:53:09.2779848Z  * [new tag]                 viable/strict/1759479963    -> viable/strict/1759479963
2025-12-04T08:53:09.2780878Z  * [new tag]                 viable/strict/1759492177    -> viable/strict/1759492177
2025-12-04T08:53:09.2781744Z  * [new tag]                 viable/strict/1759519278    -> viable/strict/1759519278
2025-12-04T08:53:09.2782666Z  * [new tag]                 viable/strict/1759524580    -> viable/strict/1759524580
2025-12-04T08:53:09.2783615Z  * [new tag]                 viable/strict/1759528193    -> viable/strict/1759528193
2025-12-04T08:53:09.2785337Z  * [new tag]                 viable/strict/1759533797    -> viable/strict/1759533797
2025-12-04T08:53:09.2786163Z  * [new tag]                 viable/strict/1759542780    -> viable/strict/1759542780
2025-12-04T08:53:09.2787105Z  * [new tag]                 viable/strict/1759549779    -> viable/strict/1759549779
2025-12-04T08:53:09.2788080Z  * [new tag]                 viable/strict/1759555455    -> viable/strict/1759555455
2025-12-04T08:53:09.2788975Z  * [new tag]                 viable/strict/1759559176    -> viable/strict/1759559176
2025-12-04T08:53:09.2789904Z  * [new tag]                 viable/strict/1759560629    -> viable/strict/1759560629
2025-12-04T08:53:09.2790795Z  * [new tag]                 viable/strict/1759569848    -> viable/strict/1759569848
2025-12-04T08:53:09.2791981Z  * [new tag]                 viable/strict/1759571382    -> viable/strict/1759571382
2025-12-04T08:53:09.2792873Z  * [new tag]                 viable/strict/1759573474    -> viable/strict/1759573474
2025-12-04T08:53:09.2793648Z  * [new tag]                 viable/strict/1759618187    -> viable/strict/1759618187
2025-12-04T08:53:09.2794648Z  * [new tag]                 viable/strict/1759626742    -> viable/strict/1759626742
2025-12-04T08:53:09.2795595Z  * [new tag]                 viable/strict/1759632427    -> viable/strict/1759632427
2025-12-04T08:53:09.2796431Z  * [new tag]                 viable/strict/1759634971    -> viable/strict/1759634971
2025-12-04T08:53:09.2797419Z  * [new tag]                 viable/strict/1759661382    -> viable/strict/1759661382
2025-12-04T08:53:09.2798379Z  * [new tag]                 viable/strict/1759663294    -> viable/strict/1759663294
2025-12-04T08:53:09.2799288Z  * [new tag]                 viable/strict/1759708178    -> viable/strict/1759708178
2025-12-04T08:53:09.2800156Z  * [new tag]                 viable/strict/1759715695    -> viable/strict/1759715695
2025-12-04T08:53:09.2801076Z  * [new tag]                 viable/strict/1759728293    -> viable/strict/1759728293
2025-12-04T08:53:09.2802133Z  * [new tag]                 viable/strict/1759735513    -> viable/strict/1759735513
2025-12-04T08:53:09.2803053Z  * [new tag]                 viable/strict/1759739177    -> viable/strict/1759739177
2025-12-04T08:53:09.2803970Z  * [new tag]                 viable/strict/1759758635    -> viable/strict/1759758635
2025-12-04T08:53:09.2804858Z  * [new tag]                 viable/strict/1759765784    -> viable/strict/1759765784
2025-12-04T08:53:09.2805772Z  * [new tag]                 viable/strict/1759767948    -> viable/strict/1759767948
2025-12-04T08:53:09.2806700Z  * [new tag]                 viable/strict/1759771461    -> viable/strict/1759771461
2025-12-04T08:53:09.2807533Z  * [new tag]                 viable/strict/1759776706    -> viable/strict/1759776706
2025-12-04T08:53:09.2808484Z  * [new tag]                 viable/strict/1759782317    -> viable/strict/1759782317
2025-12-04T08:53:09.2809436Z  * [new tag]                 viable/strict/1759783777    -> viable/strict/1759783777
2025-12-04T08:53:09.2810501Z  * [new tag]                 viable/strict/1759785815    -> viable/strict/1759785815
2025-12-04T08:53:09.2811391Z  * [new tag]                 viable/strict/1759789459    -> viable/strict/1759789459
2025-12-04T08:53:09.2812301Z  * [new tag]                 viable/strict/1759790974    -> viable/strict/1759790974
2025-12-04T08:53:09.2813078Z  * [new tag]                 viable/strict/1759794583    -> viable/strict/1759794583
2025-12-04T08:53:09.2814022Z  * [new tag]                 viable/strict/1759797408    -> viable/strict/1759797408
2025-12-04T08:53:09.2814962Z  * [new tag]                 viable/strict/1759799518    -> viable/strict/1759799518
2025-12-04T08:53:09.2815855Z  * [new tag]                 viable/strict/1759804909    -> viable/strict/1759804909
2025-12-04T08:53:09.2816877Z  * [new tag]                 viable/strict/1759807643    -> viable/strict/1759807643
2025-12-04T08:53:09.2817762Z  * [new tag]                 viable/strict/1759809089    -> viable/strict/1759809089
2025-12-04T08:53:09.2818724Z  * [new tag]                 viable/strict/1759811145    -> viable/strict/1759811145
2025-12-04T08:53:09.2819700Z  * [new tag]                 viable/strict/1759812581    -> viable/strict/1759812581
2025-12-04T08:53:09.2820683Z  * [new tag]                 viable/strict/1759814683    -> viable/strict/1759814683
2025-12-04T08:53:09.2821660Z  * [new tag]                 viable/strict/1759821889    -> viable/strict/1759821889
2025-12-04T08:53:09.2822600Z  * [new tag]                 viable/strict/1759823376    -> viable/strict/1759823376
2025-12-04T08:53:09.2823520Z  * [new tag]                 viable/strict/1759827107    -> viable/strict/1759827107
2025-12-04T08:53:09.2824377Z  * [new tag]                 viable/strict/1759830577    -> viable/strict/1759830577
2025-12-04T08:53:09.2825387Z  * [new tag]                 viable/strict/1759832720    -> viable/strict/1759832720
2025-12-04T08:53:09.2826249Z  * [new tag]                 viable/strict/1759842063    -> viable/strict/1759842063
2025-12-04T08:53:09.2827163Z  * [new tag]                 viable/strict/1759847121    -> viable/strict/1759847121
2025-12-04T08:53:09.2828504Z  * [new tag]                 viable/strict/1759850721    -> viable/strict/1759850721
2025-12-04T08:53:09.2829387Z  * [new tag]                 viable/strict/1759857870    -> viable/strict/1759857870
2025-12-04T08:53:09.2830378Z  * [new tag]                 viable/strict/1759863143    -> viable/strict/1759863143
2025-12-04T08:53:09.2831254Z  * [new tag]                 viable/strict/1759875874    -> viable/strict/1759875874
2025-12-04T08:53:09.2832073Z  * [new tag]                 viable/strict/1759877385    -> viable/strict/1759877385
2025-12-04T08:53:09.2832954Z  * [new tag]                 viable/strict/1759883801    -> viable/strict/1759883801
2025-12-04T08:53:09.2833869Z  * [new tag]                 viable/strict/1759885922    -> viable/strict/1759885922
2025-12-04T08:53:09.2834777Z  * [new tag]                 viable/strict/1759888488    -> viable/strict/1759888488
2025-12-04T08:53:09.2835755Z  * [new tag]                 viable/strict/1759895471    -> viable/strict/1759895471
2025-12-04T08:53:09.2836584Z  * [new tag]                 viable/strict/1759904803    -> viable/strict/1759904803
2025-12-04T08:53:09.2837658Z  * [new tag]                 viable/strict/1759908300    -> viable/strict/1759908300
2025-12-04T08:53:09.2838652Z  * [new tag]                 viable/strict/1759915520    -> viable/strict/1759915520
2025-12-04T08:53:09.2839535Z  * [new tag]                 viable/strict/1759916978    -> viable/strict/1759916978
2025-12-04T08:53:09.2840288Z  * [new tag]                 viable/strict/1759930024    -> viable/strict/1759930024
2025-12-04T08:53:09.2841304Z  * [new tag]                 viable/strict/1759948122    -> viable/strict/1759948122
2025-12-04T08:53:09.2842274Z  * [new tag]                 viable/strict/1759952983    -> viable/strict/1759952983
2025-12-04T08:53:09.2843286Z  * [new tag]                 viable/strict/1759955121    -> viable/strict/1759955121
2025-12-04T08:53:09.2844134Z  * [new tag]                 viable/strict/1759962298    -> viable/strict/1759962298
2025-12-04T08:53:09.2845549Z  * [new tag]                 viable/strict/1759965837    -> viable/strict/1759965837
2025-12-04T08:53:09.2846613Z  * [new tag]                 viable/strict/1759970213    -> viable/strict/1759970213
2025-12-04T08:53:09.2847598Z  * [new tag]                 viable/strict/1759974894    -> viable/strict/1759974894
2025-12-04T08:53:09.2848532Z  * [new tag]                 viable/strict/1759977763    -> viable/strict/1759977763
2025-12-04T08:53:09.2849524Z  * [new tag]                 viable/strict/1759979241    -> viable/strict/1759979241
2025-12-04T08:53:09.2850472Z  * [new tag]                 viable/strict/1759985417    -> viable/strict/1759985417
2025-12-04T08:53:09.2851409Z  * [new tag]                 viable/strict/1759987490    -> viable/strict/1759987490
2025-12-04T08:53:09.2852328Z  * [new tag]                 viable/strict/1759996180    -> viable/strict/1759996180
2025-12-04T08:53:09.2853247Z  * [new tag]                 viable/strict/1760065682    -> viable/strict/1760065682
2025-12-04T08:53:09.2854146Z  * [new tag]                 viable/strict/1760066894    -> viable/strict/1760066894
2025-12-04T08:53:09.2855187Z  * [new tag]                 viable/strict/1760070345    -> viable/strict/1760070345
2025-12-04T08:53:09.2856059Z  * [new tag]                 viable/strict/1760089782    -> viable/strict/1760089782
2025-12-04T08:53:09.2857007Z  * [new tag]                 viable/strict/1760091921    -> viable/strict/1760091921
2025-12-04T08:53:09.2858058Z  * [new tag]                 viable/strict/1760127924    -> viable/strict/1760127924
2025-12-04T08:53:09.2859006Z  * [new tag]                 viable/strict/1760129489    -> viable/strict/1760129489
2025-12-04T08:53:09.2860317Z  * [new tag]                 viable/strict/1760132980    -> viable/strict/1760132980
2025-12-04T08:53:09.2861152Z  * [new tag]                 viable/strict/1760135060    -> viable/strict/1760135060
2025-12-04T08:53:09.2862146Z  * [new tag]                 viable/strict/1760215782    -> viable/strict/1760215782
2025-12-04T08:53:09.2863097Z  * [new tag]                 viable/strict/1760273849    -> viable/strict/1760273849
2025-12-04T08:53:09.2863998Z  * [new tag]                 viable/strict/1760275517    -> viable/strict/1760275517
2025-12-04T08:53:09.2864919Z  * [new tag]                 viable/strict/1760276979    -> viable/strict/1760276979
2025-12-04T08:53:09.2865852Z  * [new tag]                 viable/strict/1760279007    -> viable/strict/1760279007
2025-12-04T08:53:09.2866681Z  * [new tag]                 viable/strict/1760286328    -> viable/strict/1760286328
2025-12-04T08:53:09.2867391Z  * [new tag]                 viable/strict/1760493304    -> viable/strict/1760493304
2025-12-04T08:53:09.2868330Z  * [new tag]                 viable/strict/1760496298    -> viable/strict/1760496298
2025-12-04T08:53:09.2869294Z  * [new tag]                 viable/strict/1760518396    -> viable/strict/1760518396
2025-12-04T08:53:09.2870299Z  * [new tag]                 viable/strict/1760534864    -> viable/strict/1760534864
2025-12-04T08:53:09.2871121Z  * [new tag]                 viable/strict/1760549062    -> viable/strict/1760549062
2025-12-04T08:53:09.2872109Z  * [new tag]                 viable/strict/1760552799    -> viable/strict/1760552799
2025-12-04T08:53:09.2873077Z  * [new tag]                 viable/strict/1760554355    -> viable/strict/1760554355
2025-12-04T08:53:09.2874033Z  * [new tag]                 viable/strict/1760556275    -> viable/strict/1760556275
2025-12-04T08:53:09.2874955Z  * [new tag]                 viable/strict/1760564979    -> viable/strict/1760564979
2025-12-04T08:53:09.2876149Z  * [new tag]                 viable/strict/1760567049    -> viable/strict/1760567049
2025-12-04T08:53:09.2877555Z  * [new tag]                 viable/strict/1760568585    -> viable/strict/1760568585
2025-12-04T08:53:09.2878337Z  * [new tag]                 viable/strict/1760570630    -> viable/strict/1760570630
2025-12-04T08:53:09.2879311Z  * [new tag]                 viable/strict/1760572180    -> viable/strict/1760572180
2025-12-04T08:53:09.2880228Z  * [new tag]                 viable/strict/1760575094    -> viable/strict/1760575094
2025-12-04T08:53:09.2881291Z  * [new tag]                 viable/strict/1760579709    -> viable/strict/1760579709
2025-12-04T08:53:09.2882697Z  * [new tag]                 viable/strict/1760582614    -> viable/strict/1760582614
2025-12-04T08:53:09.2883539Z  * [new tag]                 viable/strict/1760586815    -> viable/strict/1760586815
2025-12-04T08:53:09.2884427Z  * [new tag]                 viable/strict/1760588829    -> viable/strict/1760588829
2025-12-04T08:53:09.2885300Z  * [new tag]                 viable/strict/1760590200    -> viable/strict/1760590200
2025-12-04T08:53:09.2886346Z  * [new tag]                 viable/strict/1760592311    -> viable/strict/1760592311
2025-12-04T08:53:09.2887225Z  * [new tag]                 viable/strict/1760619733    -> viable/strict/1760619733
2025-12-04T08:53:09.2887965Z  * [new tag]                 viable/strict/1760628335    -> viable/strict/1760628335
2025-12-04T08:53:09.2888900Z  * [new tag]                 viable/strict/1760635490    -> viable/strict/1760635490
2025-12-04T08:53:09.2889788Z  * [new tag]                 viable/strict/1760640743    -> viable/strict/1760640743
2025-12-04T08:53:09.2890782Z  * [new tag]                 viable/strict/1760642528    -> viable/strict/1760642528
2025-12-04T08:53:09.2891649Z  * [new tag]                 viable/strict/1760646330    -> viable/strict/1760646330
2025-12-04T08:53:09.2892553Z  * [new tag]                 viable/strict/1760666101    -> viable/strict/1760666101
2025-12-04T08:53:09.2893497Z  * [new tag]                 viable/strict/1760668990    -> viable/strict/1760668990
2025-12-04T08:53:09.2894407Z  * [new tag]                 viable/strict/1760670600    -> viable/strict/1760670600
2025-12-04T08:53:09.2895395Z  * [new tag]                 viable/strict/1760671704    -> viable/strict/1760671704
2025-12-04T08:53:09.2896311Z  * [new tag]                 viable/strict/1760673121    -> viable/strict/1760673121
2025-12-04T08:53:09.2897585Z  * [new tag]                 viable/strict/1760675352    -> viable/strict/1760675352
2025-12-04T08:53:09.2898355Z  * [new tag]                 viable/strict/1760696731    -> viable/strict/1760696731
2025-12-04T08:53:09.2900950Z  * [new tag]                 viable/strict/1760723515    -> viable/strict/1760723515
2025-12-04T08:53:09.2901828Z  * [new tag]                 viable/strict/1760727234    -> viable/strict/1760727234
2025-12-04T08:53:09.2902760Z  * [new tag]                 viable/strict/1760730578    -> viable/strict/1760730578
2025-12-04T08:53:09.2903727Z  * [new tag]                 viable/strict/1760732726    -> viable/strict/1760732726
2025-12-04T08:53:09.2904637Z  * [new tag]                 viable/strict/1760734180    -> viable/strict/1760734180
2025-12-04T08:53:09.2905597Z  * [new tag]                 viable/strict/1760736251    -> viable/strict/1760736251
2025-12-04T08:53:09.2906747Z  * [new tag]                 viable/strict/1760737772    -> viable/strict/1760737772
2025-12-04T08:53:09.2907532Z  * [new tag]                 viable/strict/1760758005    -> viable/strict/1760758005
2025-12-04T08:53:09.2908898Z  * [new tag]                 viable/strict/1760761532    -> viable/strict/1760761532
2025-12-04T08:53:09.2909754Z  * [new tag]                 viable/strict/1760802581    -> viable/strict/1760802581
2025-12-04T08:53:09.2910651Z  * [new tag]                 viable/strict/1760827772    -> viable/strict/1760827772
2025-12-04T08:53:09.2911555Z  * [new tag]                 viable/strict/1760834524    -> viable/strict/1760834524
2025-12-04T08:53:09.2912601Z  * [new tag]                 viable/strict/1760845009    -> viable/strict/1760845009
2025-12-04T08:53:09.2913535Z  * [new tag]                 viable/strict/1760876836    -> viable/strict/1760876836
2025-12-04T08:53:09.2914447Z  * [new tag]                 viable/strict/1760880329    -> viable/strict/1760880329
2025-12-04T08:53:09.2915328Z  * [new tag]                 viable/strict/1760888987    -> viable/strict/1760888987
2025-12-04T08:53:09.2916199Z  * [new tag]                 viable/strict/1760912664    -> viable/strict/1760912664
2025-12-04T08:53:09.2917132Z  * [new tag]                 viable/strict/1760925321    -> viable/strict/1760925321
2025-12-04T08:53:09.2917954Z  * [new tag]                 viable/strict/1760931488    -> viable/strict/1760931488
2025-12-04T08:53:09.2918955Z  * [new tag]                 viable/strict/1760932693    -> viable/strict/1760932693
2025-12-04T08:53:09.2919912Z  * [new tag]                 viable/strict/1761004184    -> viable/strict/1761004184
2025-12-04T08:53:09.2920876Z  * [new tag]                 viable/strict/1761014748    -> viable/strict/1761014748
2025-12-04T08:53:09.2921760Z  * [new tag]                 viable/strict/1761017491    -> viable/strict/1761017491
2025-12-04T08:53:09.2922767Z  * [new tag]                 viable/strict/1761018806    -> viable/strict/1761018806
2025-12-04T08:53:09.2923781Z  * [new tag]                 viable/strict/1761020754    -> viable/strict/1761020754
2025-12-04T08:53:09.2924720Z  * [new tag]                 viable/strict/1761024303    -> viable/strict/1761024303
2025-12-04T08:53:09.2925601Z  * [new tag]                 viable/strict/1761029582    -> viable/strict/1761029582
2025-12-04T08:53:09.2926469Z  * [new tag]                 viable/strict/1761031535    -> viable/strict/1761031535
2025-12-04T08:53:09.2927393Z  * [new tag]                 viable/strict/1761035196    -> viable/strict/1761035196
2025-12-04T08:53:09.2928426Z  * [new tag]                 viable/strict/1761045825    -> viable/strict/1761045825
2025-12-04T08:53:09.2929360Z  * [new tag]                 viable/strict/1761054796    -> viable/strict/1761054796
2025-12-04T08:53:09.2930343Z  * [new tag]                 viable/strict/1761060314    -> viable/strict/1761060314
2025-12-04T08:53:09.2931250Z  * [new tag]                 viable/strict/1761071198    -> viable/strict/1761071198
2025-12-04T08:53:09.2932276Z  * [new tag]                 viable/strict/1761074628    -> viable/strict/1761074628
2025-12-04T08:53:09.2933231Z  * [new tag]                 viable/strict/1761078351    -> viable/strict/1761078351
2025-12-04T08:53:09.2934148Z  * [new tag]                 viable/strict/1761079822    -> viable/strict/1761079822
2025-12-04T08:53:09.2935044Z  * [new tag]                 viable/strict/1761081873    -> viable/strict/1761081873
2025-12-04T08:53:09.2935971Z  * [new tag]                 viable/strict/1761083392    -> viable/strict/1761083392
2025-12-04T08:53:09.2936942Z  * [new tag]                 viable/strict/1761085465    -> viable/strict/1761085465
2025-12-04T08:53:09.2937936Z  * [new tag]                 viable/strict/1761089099    -> viable/strict/1761089099
2025-12-04T08:53:09.2938853Z  * [new tag]                 viable/strict/1761095535    -> viable/strict/1761095535
2025-12-04T08:53:09.2939810Z  * [new tag]                 viable/strict/1761098119    -> viable/strict/1761098119
2025-12-04T08:53:09.2941462Z  * [new tag]                 viable/strict/1761101330    -> viable/strict/1761101330
2025-12-04T08:53:09.2942236Z  * [new tag]                 viable/strict/1761114425    -> viable/strict/1761114425
2025-12-04T08:53:09.2943131Z  * [new tag]                 viable/strict/1761116036    -> viable/strict/1761116036
2025-12-04T08:53:09.2944039Z  * [new tag]                 viable/strict/1761119379    -> viable/strict/1761119379
2025-12-04T08:53:09.2944926Z  * [new tag]                 viable/strict/1761121601    -> viable/strict/1761121601
2025-12-04T08:53:09.2945792Z  * [new tag]                 viable/strict/1761123234    -> viable/strict/1761123234
2025-12-04T08:53:09.2946683Z  * [new tag]                 viable/strict/1761126621    -> viable/strict/1761126621
2025-12-04T08:53:09.2947633Z  * [new tag]                 viable/strict/1761132259    -> viable/strict/1761132259
2025-12-04T08:53:09.2948651Z  * [new tag]                 viable/strict/1761146746    -> viable/strict/1761146746
2025-12-04T08:53:09.2949582Z  * [new tag]                 viable/strict/1761164752    -> viable/strict/1761164752
2025-12-04T08:53:09.2950493Z  * [new tag]                 viable/strict/1761166198    -> viable/strict/1761166198
2025-12-04T08:53:09.2951431Z  * [new tag]                 viable/strict/1761175424    -> viable/strict/1761175424
2025-12-04T08:53:09.2952362Z  * [new tag]                 viable/strict/1761176983    -> viable/strict/1761176983
2025-12-04T08:53:09.2953601Z  * [new tag]                 viable/strict/1761179891    -> viable/strict/1761179891
2025-12-04T08:53:09.2954374Z  * [new tag]                 viable/strict/1761181930    -> viable/strict/1761181930
2025-12-04T08:53:09.2955359Z  * [new tag]                 viable/strict/1761184516    -> viable/strict/1761184516
2025-12-04T08:53:09.2956327Z  * [new tag]                 viable/strict/1761190179    -> viable/strict/1761190179
2025-12-04T08:53:09.2957266Z  * [new tag]                 viable/strict/1761193558    -> viable/strict/1761193558
2025-12-04T08:53:09.2958165Z  * [new tag]                 viable/strict/1761207990    -> viable/strict/1761207990
2025-12-04T08:53:09.2959082Z  * [new tag]                 viable/strict/1761229539    -> viable/strict/1761229539
2025-12-04T08:53:09.2960329Z  * [new tag]                 viable/strict/1761244031    -> viable/strict/1761244031
2025-12-04T08:53:09.2961104Z  * [new tag]                 viable/strict/1761248986    -> viable/strict/1761248986
2025-12-04T08:53:09.2962102Z  * [new tag]                 viable/strict/1761259791    -> viable/strict/1761259791
2025-12-04T08:53:09.2962986Z  * [new tag]                 viable/strict/1761266139    -> viable/strict/1761266139
2025-12-04T08:53:09.2963998Z  * [new tag]                 viable/strict/1761268316    -> viable/strict/1761268316
2025-12-04T08:53:09.2964877Z  * [new tag]                 viable/strict/1761273805    -> viable/strict/1761273805
2025-12-04T08:53:09.2965800Z  * [new tag]                 viable/strict/1761275261    -> viable/strict/1761275261
2025-12-04T08:53:09.2966774Z  * [new tag]                 viable/strict/1761277913    -> viable/strict/1761277913
2025-12-04T08:53:09.2967781Z  * [new tag]                 viable/strict/1761290701    -> viable/strict/1761290701
2025-12-04T08:53:09.2968732Z  * [new tag]                 viable/strict/1761294396    -> viable/strict/1761294396
2025-12-04T08:53:09.2970136Z  * [new tag]                 viable/strict/1761303047    -> viable/strict/1761303047
2025-12-04T08:53:09.2970994Z  * [new tag]                 viable/strict/1761335388    -> viable/strict/1761335388
2025-12-04T08:53:09.2971925Z  * [new tag]                 viable/strict/1761337551    -> viable/strict/1761337551
2025-12-04T08:53:09.2972827Z  * [new tag]                 viable/strict/1761339007    -> viable/strict/1761339007
2025-12-04T08:53:09.2973793Z  * [new tag]                 viable/strict/1761341050    -> viable/strict/1761341050
2025-12-04T08:53:09.2974825Z  * [new tag]                 viable/strict/1761346188    -> viable/strict/1761346188
2025-12-04T08:53:09.2975855Z  * [new tag]                 viable/strict/1761349792    -> viable/strict/1761349792
2025-12-04T08:53:09.2979234Z  * [new tag]                 viable/strict/1761352620    -> viable/strict/1761352620
2025-12-04T08:53:09.2980364Z  * [new tag]                 viable/strict/1761354730    -> viable/strict/1761354730
2025-12-04T08:53:09.2981323Z  * [new tag]                 viable/strict/1761357298    -> viable/strict/1761357298
2025-12-04T08:53:09.2982223Z  * [new tag]                 viable/strict/1761360201    -> viable/strict/1761360201
2025-12-04T08:53:09.2983155Z  * [new tag]                 viable/strict/1761361753    -> viable/strict/1761361753
2025-12-04T08:53:09.2984109Z  * [new tag]                 viable/strict/1761364351    -> viable/strict/1761364351
2025-12-04T08:53:09.2984992Z  * [new tag]                 viable/strict/1761366338    -> viable/strict/1761366338
2025-12-04T08:53:09.2986092Z  * [new tag]                 viable/strict/1761367802    -> viable/strict/1761367802
2025-12-04T08:53:09.2987101Z  * [new tag]                 viable/strict/1761369889    -> viable/strict/1761369889
2025-12-04T08:53:09.2988110Z  * [new tag]                 viable/strict/1761371385    -> viable/strict/1761371385
2025-12-04T08:53:09.2989041Z  * [new tag]                 viable/strict/1761373581    -> viable/strict/1761373581
2025-12-04T08:53:09.2990086Z  * [new tag]                 viable/strict/1761375054    -> viable/strict/1761375054
2025-12-04T08:53:09.2991058Z  * [new tag]                 viable/strict/1761421785    -> viable/strict/1761421785
2025-12-04T08:53:09.2992087Z  * [new tag]                 viable/strict/1761434614    -> viable/strict/1761434614
2025-12-04T08:53:09.2993410Z  * [new tag]                 viable/strict/1761439254    -> viable/strict/1761439254
2025-12-04T08:53:09.2994305Z  * [new tag]                 viable/strict/1761454187    -> viable/strict/1761454187
2025-12-04T08:53:09.2995348Z  * [new tag]                 viable/strict/1761459991    -> viable/strict/1761459991
2025-12-04T08:53:09.2996545Z  * [new tag]                 viable/strict/1761470668    -> viable/strict/1761470668
2025-12-04T08:53:09.2997984Z  * [new tag]                 viable/strict/1761472188    -> viable/strict/1761472188
2025-12-04T08:53:09.2998854Z  * [new tag]                 viable/strict/1761503178    -> viable/strict/1761503178
2025-12-04T08:53:09.2999814Z  * [new tag]                 viable/strict/1761517492    -> viable/strict/1761517492
2025-12-04T08:53:09.3000760Z  * [new tag]                 viable/strict/1761518981    -> viable/strict/1761518981
2025-12-04T08:53:09.3001723Z  * [new tag]                 viable/strict/1761533609    -> viable/strict/1761533609
2025-12-04T08:53:09.3002497Z  * [new tag]                 viable/strict/1761546438    -> viable/strict/1761546438
2025-12-04T08:53:09.3003608Z  * [new tag]                 viable/strict/1761548133    -> viable/strict/1761548133
2025-12-04T08:53:09.3004903Z  * [new tag]                 viable/strict/1761555186    -> viable/strict/1761555186
2025-12-04T08:53:09.3005841Z  * [new tag]                 viable/strict/1761557178    -> viable/strict/1761557178
2025-12-04T08:53:09.3006764Z  * [new tag]                 viable/strict/1761560772    -> viable/strict/1761560772
2025-12-04T08:53:09.3007743Z  * [new tag]                 viable/strict/1761562266    -> viable/strict/1761562266
2025-12-04T08:53:09.3008717Z  * [new tag]                 viable/strict/1761564260    -> viable/strict/1761564260
2025-12-04T08:53:09.3009706Z  * [new tag]                 viable/strict/1761568072    -> viable/strict/1761568072
2025-12-04T08:53:09.3010624Z  * [new tag]                 viable/strict/1761571683    -> viable/strict/1761571683
2025-12-04T08:53:09.3011431Z  * [new tag]                 viable/strict/1761580199    -> viable/strict/1761580199
2025-12-04T08:53:09.3012358Z  * [new tag]                 viable/strict/1761587383    -> viable/strict/1761587383
2025-12-04T08:53:09.3013559Z  * [new tag]                 viable/strict/1761591165    -> viable/strict/1761591165
2025-12-04T08:53:09.3014339Z  * [new tag]                 viable/strict/1761594575    -> viable/strict/1761594575
2025-12-04T08:53:09.3015237Z  * [new tag]                 viable/strict/1761596710    -> viable/strict/1761596710
2025-12-04T08:53:09.3016181Z  * [new tag]                 viable/strict/1761598189    -> viable/strict/1761598189
2025-12-04T08:53:09.3017077Z  * [new tag]                 viable/strict/1761600254    -> viable/strict/1761600254
2025-12-04T08:53:09.3018005Z  * [new tag]                 viable/strict/1761603879    -> viable/strict/1761603879
2025-12-04T08:53:09.3019085Z  * [new tag]                 viable/strict/1761605429    -> viable/strict/1761605429
2025-12-04T08:53:09.3020202Z  * [new tag]                 viable/strict/1761607468    -> viable/strict/1761607468
2025-12-04T08:53:09.3021182Z  * [new tag]                 viable/strict/1761608983    -> viable/strict/1761608983
2025-12-04T08:53:09.3022129Z  * [new tag]                 viable/strict/1761611846    -> viable/strict/1761611846
2025-12-04T08:53:09.3023148Z  * [new tag]                 viable/strict/1761613922    -> viable/strict/1761613922
2025-12-04T08:53:09.3023890Z  * [new tag]                 viable/strict/1761616504    -> viable/strict/1761616504
2025-12-04T08:53:09.3024726Z  * [new tag]                 viable/strict/1761619599    -> viable/strict/1761619599
2025-12-04T08:53:09.3025704Z  * [new tag]                 viable/strict/1761686693    -> viable/strict/1761686693
2025-12-04T08:53:09.3026646Z  * [new tag]                 viable/strict/1761688179    -> viable/strict/1761688179
2025-12-04T08:53:09.3027565Z  * [new tag]                 viable/strict/1761691973    -> viable/strict/1761691973
2025-12-04T08:53:09.3028609Z  * [new tag]                 viable/strict/1761693884    -> viable/strict/1761693884
2025-12-04T08:53:09.3029580Z  * [new tag]                 viable/strict/1761695389    -> viable/strict/1761695389
2025-12-04T08:53:09.3030549Z  * [new tag]                 viable/strict/1761698408    -> viable/strict/1761698408
2025-12-04T08:53:09.3031467Z  * [new tag]                 viable/strict/1761702931    -> viable/strict/1761702931
2025-12-04T08:53:09.3032440Z  * [new tag]                 viable/strict/1761706307    -> viable/strict/1761706307
2025-12-04T08:53:09.3033382Z  * [new tag]                 viable/strict/1761709065    -> viable/strict/1761709065
2025-12-04T08:53:09.3034434Z  * [new tag]                 viable/strict/1761710285    -> viable/strict/1761710285
2025-12-04T08:53:09.3035947Z  * [new tag]                 viable/strict/1761711983    -> viable/strict/1761711983
2025-12-04T08:53:09.3036878Z  * [new tag]                 viable/strict/1761713514    -> viable/strict/1761713514
2025-12-04T08:53:09.3037891Z  * [new tag]                 viable/strict/1761715523    -> viable/strict/1761715523
2025-12-04T08:53:09.3038896Z  * [new tag]                 viable/strict/1761727973    -> viable/strict/1761727973
2025-12-04T08:53:09.3039963Z  * [new tag]                 viable/strict/1761751558    -> viable/strict/1761751558
2025-12-04T08:53:09.3040919Z  * [new tag]                 viable/strict/1761755187    -> viable/strict/1761755187
2025-12-04T08:53:09.3041944Z  * [new tag]                 viable/strict/1761756826    -> viable/strict/1761756826
2025-12-04T08:53:09.3042927Z  * [new tag]                 viable/strict/1761769551    -> viable/strict/1761769551
2025-12-04T08:53:09.3043965Z  * [new tag]                 viable/strict/1761771032    -> viable/strict/1761771032
2025-12-04T08:53:09.3044790Z  * [new tag]                 viable/strict/1761773101    -> viable/strict/1761773101
2025-12-04T08:53:09.3045830Z  * [new tag]                 viable/strict/1761781792    -> viable/strict/1761781792
2025-12-04T08:53:09.3046841Z  * [new tag]                 viable/strict/1761784788    -> viable/strict/1761784788
2025-12-04T08:53:09.3047847Z  * [new tag]                 viable/strict/1761786740    -> viable/strict/1761786740
2025-12-04T08:53:09.3048997Z  * [new tag]                 viable/strict/1761789332    -> viable/strict/1761789332
2025-12-04T08:53:09.3050403Z  * [new tag]                 viable/strict/1761792569    -> viable/strict/1761792569
2025-12-04T08:53:09.3051378Z  * [new tag]                 viable/strict/1761795289    -> viable/strict/1761795289
2025-12-04T08:53:09.3052365Z  * [new tag]                 viable/strict/1761798345    -> viable/strict/1761798345
2025-12-04T08:53:09.3053318Z  * [new tag]                 viable/strict/1761799827    -> viable/strict/1761799827
2025-12-04T08:53:09.3054380Z  * [new tag]                 viable/strict/1761805604    -> viable/strict/1761805604
2025-12-04T08:53:09.3055315Z  * [new tag]                 viable/strict/1761807202    -> viable/strict/1761807202
2025-12-04T08:53:09.3056325Z  * [new tag]                 viable/strict/1761809094    -> viable/strict/1761809094
2025-12-04T08:53:09.3057262Z  * [new tag]                 viable/strict/1761810576    -> viable/strict/1761810576
2025-12-04T08:53:09.3058258Z  * [new tag]                 viable/strict/1761812771    -> viable/strict/1761812771
2025-12-04T08:53:09.3059231Z  * [new tag]                 viable/strict/1761814363    -> viable/strict/1761814363
2025-12-04T08:53:09.3060308Z  * [new tag]                 viable/strict/1761857410    -> viable/strict/1761857410
2025-12-04T08:53:09.3061351Z  * [new tag]                 viable/strict/1761860985    -> viable/strict/1761860985
2025-12-04T08:53:09.3062297Z  * [new tag]                 viable/strict/1761863094    -> viable/strict/1761863094
2025-12-04T08:53:09.3063283Z  * [new tag]                 viable/strict/1761864590    -> viable/strict/1761864590
2025-12-04T08:53:09.3064219Z  * [new tag]                 viable/strict/1761866675    -> viable/strict/1761866675
2025-12-04T08:53:09.3065410Z  * [new tag]                 viable/strict/1761868178    -> viable/strict/1761868178
2025-12-04T08:53:09.3066354Z  * [new tag]                 viable/strict/1761871111    -> viable/strict/1761871111
2025-12-04T08:53:09.3067322Z  * [new tag]                 viable/strict/1761873126    -> viable/strict/1761873126
2025-12-04T08:53:09.3068333Z  * [new tag]                 viable/strict/1761875714    -> viable/strict/1761875714
2025-12-04T08:53:09.3069325Z  * [new tag]                 viable/strict/1761878924    -> viable/strict/1761878924
2025-12-04T08:53:09.3070322Z  * [new tag]                 viable/strict/1761881727    -> viable/strict/1761881727
2025-12-04T08:53:09.3071290Z  * [new tag]                 viable/strict/1761882959    -> viable/strict/1761882959
2025-12-04T08:53:09.3072250Z  * [new tag]                 viable/strict/1761886268    -> viable/strict/1761886268
2025-12-04T08:53:09.3073234Z  * [new tag]                 viable/strict/1761893641    -> viable/strict/1761893641
2025-12-04T08:53:09.3074221Z  * [new tag]                 viable/strict/1761931517    -> viable/strict/1761931517
2025-12-04T08:53:09.3075178Z  * [new tag]                 viable/strict/1761933080    -> viable/strict/1761933080
2025-12-04T08:53:09.3076381Z  * [new tag]                 viable/strict/1761935217    -> viable/strict/1761935217
2025-12-04T08:53:09.3077428Z  * [new tag]                 viable/strict/1761938533    -> viable/strict/1761938533
2025-12-04T08:53:09.3078495Z  * [new tag]                 viable/strict/1761940184    -> viable/strict/1761940184
2025-12-04T08:53:09.3081085Z  * [new tag]                 viable/strict/1761942338    -> viable/strict/1761942338
2025-12-04T08:53:09.3081301Z  * [new tag]                 viable/strict/1761946100    -> viable/strict/1761946100
2025-12-04T08:53:09.3082376Z  * [new tag]                 viable/strict/1761947374    -> viable/strict/1761947374
2025-12-04T08:53:09.3082573Z  * [new tag]                 viable/strict/1761950978    -> viable/strict/1761950978
2025-12-04T08:53:09.3083345Z  * [new tag]                 viable/strict/1761957727    -> viable/strict/1761957727
2025-12-04T08:53:09.3084325Z  * [new tag]                 viable/strict/1761959532    -> viable/strict/1761959532
2025-12-04T08:53:09.3085503Z  * [new tag]                 viable/strict/1761965366    -> viable/strict/1761965366
2025-12-04T08:53:09.3086480Z  * [new tag]                 viable/strict/1761968066    -> viable/strict/1761968066
2025-12-04T08:53:09.3087475Z  * [new tag]                 viable/strict/1761969322    -> viable/strict/1761969322
2025-12-04T08:53:09.3088429Z  * [new tag]                 viable/strict/1761974723    -> viable/strict/1761974723
2025-12-04T08:53:09.3089521Z  * [new tag]                 viable/strict/1761981837    -> viable/strict/1761981837
2025-12-04T08:53:09.3090532Z  * [new tag]                 viable/strict/1761985546    -> viable/strict/1761985546
2025-12-04T08:53:09.3091598Z  * [new tag]                 viable/strict/1761987030    -> viable/strict/1761987030
2025-12-04T08:53:09.3092610Z  * [new tag]                 viable/strict/1762003554    -> viable/strict/1762003554
2025-12-04T08:53:09.3093571Z  * [new tag]                 viable/strict/1762021560    -> viable/strict/1762021560
2025-12-04T08:53:09.3094556Z  * [new tag]                 viable/strict/1762032190    -> viable/strict/1762032190
2025-12-04T08:53:09.3095553Z  * [new tag]                 viable/strict/1762040981    -> viable/strict/1762040981
2025-12-04T08:53:09.3096514Z  * [new tag]                 viable/strict/1762048525    -> viable/strict/1762048525
2025-12-04T08:53:09.3097593Z  * [new tag]                 viable/strict/1762104223    -> viable/strict/1762104223
2025-12-04T08:53:09.3098585Z  * [new tag]                 viable/strict/1762105778    -> viable/strict/1762105778
2025-12-04T08:53:09.3099607Z  * [new tag]                 viable/strict/1762115109    -> viable/strict/1762115109
2025-12-04T08:53:09.3101048Z  * [new tag]                 viable/strict/1762125840    -> viable/strict/1762125840
2025-12-04T08:53:09.3101947Z  * [new tag]                 viable/strict/1762127377    -> viable/strict/1762127377
2025-12-04T08:53:09.3103214Z  * [new tag]                 viable/strict/1762134925    -> viable/strict/1762134925
2025-12-04T08:53:09.3104114Z  * [new tag]                 viable/strict/1762138338    -> viable/strict/1762138338
2025-12-04T08:53:09.3105107Z  * [new tag]                 viable/strict/1762148993    -> viable/strict/1762148993
2025-12-04T08:53:09.3106188Z  * [new tag]                 viable/strict/1762152871    -> viable/strict/1762152871
2025-12-04T08:53:09.3107179Z  * [new tag]                 viable/strict/1762156183    -> viable/strict/1762156183
2025-12-04T08:53:09.3108131Z  * [new tag]                 viable/strict/1762163457    -> viable/strict/1762163457
2025-12-04T08:53:09.3109101Z  * [new tag]                 viable/strict/1762165569    -> viable/strict/1762165569
2025-12-04T08:53:09.3110043Z  * [new tag]                 viable/strict/1762169035    -> viable/strict/1762169035
2025-12-04T08:53:09.3111026Z  * [new tag]                 viable/strict/1762174936    -> viable/strict/1762174936
2025-12-04T08:53:09.3112071Z  * [new tag]                 viable/strict/1762194412    -> viable/strict/1762194412
2025-12-04T08:53:09.3112991Z  * [new tag]                 viable/strict/1762195876    -> viable/strict/1762195876
2025-12-04T08:53:09.3113981Z  * [new tag]                 viable/strict/1762197788    -> viable/strict/1762197788
2025-12-04T08:53:09.3114976Z  * [new tag]                 viable/strict/1762199389    -> viable/strict/1762199389
2025-12-04T08:53:09.3116327Z  * [new tag]                 viable/strict/1762206585    -> viable/strict/1762206585
2025-12-04T08:53:09.3117380Z  * [new tag]                 viable/strict/1762210184    -> viable/strict/1762210184
2025-12-04T08:53:09.3118242Z  * [new tag]                 viable/strict/1762218736    -> viable/strict/1762218736
2025-12-04T08:53:09.3119281Z  * [new tag]                 viable/strict/1762224529    -> viable/strict/1762224529
2025-12-04T08:53:09.3120342Z  * [new tag]                 viable/strict/1762227253    -> viable/strict/1762227253
2025-12-04T08:53:09.3121216Z  * [new tag]                 viable/strict/1762228515    -> viable/strict/1762228515
2025-12-04T08:53:09.3122354Z  * [new tag]                 viable/strict/1762230349    -> viable/strict/1762230349
2025-12-04T08:53:09.3123276Z  * [new tag]                 viable/strict/1762231859    -> viable/strict/1762231859
2025-12-04T08:53:09.3124298Z  * [new tag]                 viable/strict/1762233925    -> viable/strict/1762233925
2025-12-04T08:53:09.3125385Z  * [new tag]                 viable/strict/1762237630    -> viable/strict/1762237630
2025-12-04T08:53:09.3126256Z  * [new tag]                 viable/strict/1762253522    -> viable/strict/1762253522
2025-12-04T08:53:09.3127294Z  * [new tag]                 viable/strict/1762278588    -> viable/strict/1762278588
2025-12-04T08:53:09.3128278Z  * [new tag]                 viable/strict/1762284203    -> viable/strict/1762284203
2025-12-04T08:53:09.3129420Z  * [new tag]                 viable/strict/1762289446    -> viable/strict/1762289446
2025-12-04T08:53:09.3130436Z  * [new tag]                 viable/strict/1762291515    -> viable/strict/1762291515
2025-12-04T08:53:09.3131419Z  * [new tag]                 viable/strict/1762295100    -> viable/strict/1762295100
2025-12-04T08:53:09.3132187Z  * [new tag]                 viable/strict/1762296590    -> viable/strict/1762296590
2025-12-04T08:53:09.3133119Z  * [new tag]                 viable/strict/1762300179    -> viable/strict/1762300179
2025-12-04T08:53:09.3133863Z  * [new tag]                 viable/strict/1762303207    -> viable/strict/1762303207
2025-12-04T08:53:09.3134941Z  * [new tag]                 viable/strict/1762386584    -> viable/strict/1762386584
2025-12-04T08:53:09.3135897Z  * [new tag]                 viable/strict/1762391537    -> viable/strict/1762391537
2025-12-04T08:53:09.3136757Z  * [new tag]                 viable/strict/1762394119    -> viable/strict/1762394119
2025-12-04T08:53:09.3138080Z  * [new tag]                 viable/strict/1762397437    -> viable/strict/1762397437
2025-12-04T08:53:09.3139073Z  * [new tag]                 viable/strict/1762400256    -> viable/strict/1762400256
2025-12-04T08:53:09.3140182Z  * [new tag]                 viable/strict/1762401469    -> viable/strict/1762401469
2025-12-04T08:53:09.3141239Z  * [new tag]                 viable/strict/1762408195    -> viable/strict/1762408195
2025-12-04T08:53:09.3142293Z  * [new tag]                 viable/strict/1762410411    -> viable/strict/1762410411
2025-12-04T08:53:09.3143335Z  * [new tag]                 viable/strict/1762417613    -> viable/strict/1762417613
2025-12-04T08:53:09.3144307Z  * [new tag]                 viable/strict/1762419198    -> viable/strict/1762419198
2025-12-04T08:53:09.3145341Z  * [new tag]                 viable/strict/1762422656    -> viable/strict/1762422656
2025-12-04T08:53:09.3146747Z  * [new tag]                 viable/strict/1762424746    -> viable/strict/1762424746
2025-12-04T08:53:09.3147815Z  * [new tag]                 viable/strict/1762446386    -> viable/strict/1762446386
2025-12-04T08:53:09.3148864Z  * [new tag]                 viable/strict/1762449912    -> viable/strict/1762449912
2025-12-04T08:53:09.3149843Z  * [new tag]                 viable/strict/1762457031    -> viable/strict/1762457031
2025-12-04T08:53:09.3150867Z  * [new tag]                 viable/strict/1762462441    -> viable/strict/1762462441
2025-12-04T08:53:09.3151882Z  * [new tag]                 viable/strict/1762467909    -> viable/strict/1762467909
2025-12-04T08:53:09.3152927Z  * [new tag]                 viable/strict/1762471493    -> viable/strict/1762471493
2025-12-04T08:53:09.3153955Z  * [new tag]                 viable/strict/1762475990    -> viable/strict/1762475990
2025-12-04T08:53:09.3155078Z  * [new tag]                 viable/strict/1762477933    -> viable/strict/1762477933
2025-12-04T08:53:09.3156077Z  * [new tag]                 viable/strict/1762491053    -> viable/strict/1762491053
2025-12-04T08:53:09.3157041Z  * [new tag]                 viable/strict/1762493118    -> viable/strict/1762493118
2025-12-04T08:53:09.3158003Z  * [new tag]                 viable/strict/1762498442    -> viable/strict/1762498442
2025-12-04T08:53:09.3159062Z  * [new tag]                 viable/strict/1762501778    -> viable/strict/1762501778
2025-12-04T08:53:09.3160039Z  * [new tag]                 viable/strict/1762504001    -> viable/strict/1762504001
2025-12-04T08:53:09.3161113Z  * [new tag]                 viable/strict/1762505583    -> viable/strict/1762505583
2025-12-04T08:53:09.3162168Z  * [new tag]                 viable/strict/1762507523    -> viable/strict/1762507523
2025-12-04T08:53:09.3163206Z  * [new tag]                 viable/strict/1762511140    -> viable/strict/1762511140
2025-12-04T08:53:09.3164331Z  * [new tag]                 viable/strict/1762512632    -> viable/strict/1762512632
2025-12-04T08:53:09.3165399Z  * [new tag]                 viable/strict/1762520467    -> viable/strict/1762520467
2025-12-04T08:53:09.3166777Z  * [new tag]                 viable/strict/1762522016    -> viable/strict/1762522016
2025-12-04T08:53:09.3167758Z  * [new tag]                 viable/strict/1762530591    -> viable/strict/1762530591
2025-12-04T08:53:09.3168767Z  * [new tag]                 viable/strict/1762543405    -> viable/strict/1762543405
2025-12-04T08:53:09.3169558Z  * [new tag]                 viable/strict/1762544998    -> viable/strict/1762544998
2025-12-04T08:53:09.3170574Z  * [new tag]                 viable/strict/1762552182    -> viable/strict/1762552182
2025-12-04T08:53:09.3171551Z  * [new tag]                 viable/strict/1762554297    -> viable/strict/1762554297
2025-12-04T08:53:09.3172424Z  * [new tag]                 viable/strict/1762559381    -> viable/strict/1762559381
2025-12-04T08:53:09.3173384Z  * [new tag]                 viable/strict/1762562222    -> viable/strict/1762562222
2025-12-04T08:53:09.3174385Z  * [new tag]                 viable/strict/1762564319    -> viable/strict/1762564319
2025-12-04T08:53:09.3175251Z  * [new tag]                 viable/strict/1762566904    -> viable/strict/1762566904
2025-12-04T08:53:09.3176460Z  * [new tag]                 viable/strict/1762569781    -> viable/strict/1762569781
2025-12-04T08:53:09.3177418Z  * [new tag]                 viable/strict/1762575940    -> viable/strict/1762575940
2025-12-04T08:53:09.3178421Z  * [new tag]                 viable/strict/1762580974    -> viable/strict/1762580974
2025-12-04T08:53:09.3179408Z  * [new tag]                 viable/strict/1762583185    -> viable/strict/1762583185
2025-12-04T08:53:09.3180636Z  * [new tag]                 viable/strict/1762586647    -> viable/strict/1762586647
2025-12-04T08:53:09.3181751Z  * [new tag]                 viable/strict/1762588183    -> viable/strict/1762588183
2025-12-04T08:53:09.3182680Z  * [new tag]                 viable/strict/1762593886    -> viable/strict/1762593886
2025-12-04T08:53:09.3183707Z  * [new tag]                 viable/strict/1762650743    -> viable/strict/1762650743
2025-12-04T08:53:09.3184761Z  * [new tag]                 viable/strict/1762653328    -> viable/strict/1762653328
2025-12-04T08:53:09.3185770Z  * [new tag]                 viable/strict/1762659342    -> viable/strict/1762659342
2025-12-04T08:53:09.3186800Z  * [new tag]                 viable/strict/1762662360    -> viable/strict/1762662360
2025-12-04T08:53:09.3187744Z  * [new tag]                 viable/strict/1762667377    -> viable/strict/1762667377
2025-12-04T08:53:09.3188734Z  * [new tag]                 viable/strict/1762671090    -> viable/strict/1762671090
2025-12-04T08:53:09.3189737Z  * [new tag]                 viable/strict/1762680284    -> viable/strict/1762680284
2025-12-04T08:53:09.3190733Z  * [new tag]                 viable/strict/1762683900    -> viable/strict/1762683900
2025-12-04T08:53:09.3191767Z  * [new tag]                 viable/strict/1762705541    -> viable/strict/1762705541
2025-12-04T08:53:09.3192730Z  * [new tag]                 viable/strict/1762709004    -> viable/strict/1762709004
2025-12-04T08:53:09.3193743Z  * [new tag]                 viable/strict/1762746004    -> viable/strict/1762746004
2025-12-04T08:53:09.3194820Z  * [new tag]                 viable/strict/1762748799    -> viable/strict/1762748799
2025-12-04T08:53:09.3195946Z  * [new tag]                 viable/strict/1762759504    -> viable/strict/1762759504
2025-12-04T08:53:09.3196892Z  * [new tag]                 viable/strict/1762760973    -> viable/strict/1762760973
2025-12-04T08:53:09.3197881Z  * [new tag]                 viable/strict/1762775374    -> viable/strict/1762775374
2025-12-04T08:53:09.3198901Z  * [new tag]                 viable/strict/1762777661    -> viable/strict/1762777661
2025-12-04T08:53:09.3199946Z  * [new tag]                 viable/strict/1762779774    -> viable/strict/1762779774
2025-12-04T08:53:09.3201169Z  * [new tag]                 viable/strict/1762781259    -> viable/strict/1762781259
2025-12-04T08:53:09.3202251Z  * [new tag]                 viable/strict/1762793628    -> viable/strict/1762793628
2025-12-04T08:53:09.3203293Z  * [new tag]                 viable/strict/1762800711    -> viable/strict/1762800711
2025-12-04T08:53:09.3204326Z  * [new tag]                 viable/strict/1762809894    -> viable/strict/1762809894
2025-12-04T08:53:09.3205278Z  * [new tag]                 viable/strict/1762811384    -> viable/strict/1762811384
2025-12-04T08:53:09.3206350Z  * [new tag]                 viable/strict/1762813841    -> viable/strict/1762813841
2025-12-04T08:53:09.3207357Z  * [new tag]                 viable/strict/1762815047    -> viable/strict/1762815047
2025-12-04T08:53:09.3208636Z  * [new tag]                 viable/strict/1762817094    -> viable/strict/1762817094
2025-12-04T08:53:09.3209486Z  * [new tag]                 viable/strict/1762818582    -> viable/strict/1762818582
2025-12-04T08:53:09.3210506Z  * [new tag]                 viable/strict/1762821623    -> viable/strict/1762821623
2025-12-04T08:53:09.3211461Z  * [new tag]                 viable/strict/1762823531    -> viable/strict/1762823531
2025-12-04T08:53:09.3212464Z  * [new tag]                 viable/strict/1762849583    -> viable/strict/1762849583
2025-12-04T08:53:09.3213410Z  * [new tag]                 viable/strict/1762851200    -> viable/strict/1762851200
2025-12-04T08:53:09.3214494Z  * [new tag]                 viable/strict/1762854603    -> viable/strict/1762854603
2025-12-04T08:53:09.3215473Z  * [new tag]                 viable/strict/1762858276    -> viable/strict/1762858276
2025-12-04T08:53:09.3216557Z  * [new tag]                 viable/strict/1762860891    -> viable/strict/1762860891
2025-12-04T08:53:09.3218205Z  * [new tag]                 viable/strict/1762866174    -> viable/strict/1762866174
2025-12-04T08:53:09.3219060Z  * [new tag]                 viable/strict/1762867653    -> viable/strict/1762867653
2025-12-04T08:53:09.3220306Z  * [new tag]                 viable/strict/1762872669    -> viable/strict/1762872669
2025-12-04T08:53:09.3221380Z  * [new tag]                 viable/strict/1762878380    -> viable/strict/1762878380
2025-12-04T08:53:09.3222399Z  * [new tag]                 viable/strict/1762889003    -> viable/strict/1762889003
2025-12-04T08:53:09.3223414Z  * [new tag]                 viable/strict/1762890589    -> viable/strict/1762890589
2025-12-04T08:53:09.3224421Z  * [new tag]                 viable/strict/1762892743    -> viable/strict/1762892743
2025-12-04T08:53:09.3225455Z  * [new tag]                 viable/strict/1762894271    -> viable/strict/1762894271
2025-12-04T08:53:09.3226311Z  * [new tag]                 viable/strict/1762896287    -> viable/strict/1762896287
2025-12-04T08:53:09.3227307Z  * [new tag]                 viable/strict/1762915871    -> viable/strict/1762915871
2025-12-04T08:53:09.3228331Z  * [new tag]                 viable/strict/1762918569    -> viable/strict/1762918569
2025-12-04T08:53:09.3229161Z  * [new tag]                 viable/strict/1762919776    -> viable/strict/1762919776
2025-12-04T08:53:09.3230180Z  * [new tag]                 viable/strict/1762923072    -> viable/strict/1762923072
2025-12-04T08:53:09.3231193Z  * [new tag]                 viable/strict/1762928826    -> viable/strict/1762928826
2025-12-04T08:53:09.3232823Z  * [new tag]                 viable/strict/1762930451    -> viable/strict/1762930451
2025-12-04T08:53:09.3233776Z  * [new tag]                 viable/strict/1762933780    -> viable/strict/1762933780
2025-12-04T08:53:09.3234740Z  * [new tag]                 viable/strict/1762937638    -> viable/strict/1762937638
2025-12-04T08:53:09.3236007Z  * [new tag]                 viable/strict/1762939545    -> viable/strict/1762939545
2025-12-04T08:53:09.3236934Z  * [new tag]                 viable/strict/1762962692    -> viable/strict/1762962692
2025-12-04T08:53:09.3237979Z  * [new tag]                 viable/strict/1762979143    -> viable/strict/1762979143
2025-12-04T08:53:09.3238923Z  * [new tag]                 viable/strict/1762984188    -> viable/strict/1762984188
2025-12-04T08:53:09.3239789Z  * [new tag]                 viable/strict/1762986306    -> viable/strict/1762986306
2025-12-04T08:53:09.3240831Z  * [new tag]                 viable/strict/1762989903    -> viable/strict/1762989903
2025-12-04T08:53:09.3241848Z  * [new tag]                 viable/strict/1762991377    -> viable/strict/1762991377
2025-12-04T08:53:09.3242871Z  * [new tag]                 viable/strict/1762998921    -> viable/strict/1762998921
2025-12-04T08:53:09.3244059Z  * [new tag]                 viable/strict/1763002287    -> viable/strict/1763002287
2025-12-04T08:53:09.3245016Z  * [new tag]                 viable/strict/1763016840    -> viable/strict/1763016840
2025-12-04T08:53:09.3246068Z  * [new tag]                 viable/strict/1763020180    -> viable/strict/1763020180
2025-12-04T08:53:09.3247154Z  * [new tag]                 viable/strict/1763027421    -> viable/strict/1763027421
2025-12-04T08:53:09.3248631Z  * [new tag]                 viable/strict/1763031120    -> viable/strict/1763031120
2025-12-04T08:53:09.3249519Z  * [new tag]                 viable/strict/1763036861    -> viable/strict/1763036861
2025-12-04T08:53:09.3250761Z  * [new tag]                 viable/strict/1763038993    -> viable/strict/1763038993
2025-12-04T08:53:09.3252149Z  * [new tag]                 viable/strict/1763054703    -> viable/strict/1763054703
2025-12-04T08:53:09.3253065Z  * [new tag]                 viable/strict/1763067061    -> viable/strict/1763067061
2025-12-04T08:53:09.3254319Z  * [new tag]                 viable/strict/1763070847    -> viable/strict/1763070847
2025-12-04T08:53:09.3255399Z  * [new tag]                 viable/strict/1763072706    -> viable/strict/1763072706
2025-12-04T08:53:09.3256744Z  * [new tag]                 viable/strict/1763076302    -> viable/strict/1763076302
2025-12-04T08:53:09.3257758Z  * [new tag]                 viable/strict/1763080816    -> viable/strict/1763080816
2025-12-04T08:53:09.3258863Z  * [new tag]                 viable/strict/1763082732    -> viable/strict/1763082732
2025-12-04T08:53:09.3260231Z  * [new tag]                 viable/strict/1763085329    -> viable/strict/1763085329
2025-12-04T08:53:09.3261302Z  * [new tag]                 viable/strict/1763088623    -> viable/strict/1763088623
2025-12-04T08:53:09.3262637Z  * [new tag]                 viable/strict/1763091402    -> viable/strict/1763091402
2025-12-04T08:53:09.3263731Z  * [new tag]                 viable/strict/1763092602    -> viable/strict/1763092602
2025-12-04T08:53:09.3264969Z  * [new tag]                 viable/strict/1763094355    -> viable/strict/1763094355
2025-12-04T08:53:09.3266043Z  * [new tag]                 viable/strict/1763099390    -> viable/strict/1763099390
2025-12-04T08:53:09.3267292Z  * [new tag]                 viable/strict/1763101608    -> viable/strict/1763101608
2025-12-04T08:53:09.3268370Z  * [new tag]                 viable/strict/1763105102    -> viable/strict/1763105102
2025-12-04T08:53:09.3269696Z  * [new tag]                 viable/strict/1763112347    -> viable/strict/1763112347
2025-12-04T08:53:09.3270733Z  * [new tag]                 viable/strict/1763119471    -> viable/strict/1763119471
2025-12-04T08:53:09.3271737Z  * [new tag]                 viable/strict/1763126835    -> viable/strict/1763126835
2025-12-04T08:53:09.3272710Z  * [new tag]                 viable/strict/1763149779    -> viable/strict/1763149779
2025-12-04T08:53:09.3274020Z  * [new tag]                 viable/strict/1763164178    -> viable/strict/1763164178
2025-12-04T08:53:09.3274995Z  * [new tag]                 viable/strict/1763167104    -> viable/strict/1763167104
2025-12-04T08:53:09.3276358Z  * [new tag]                 viable/strict/1763169132    -> viable/strict/1763169132
2025-12-04T08:53:09.3277434Z  * [new tag]                 viable/strict/1763171708    -> viable/strict/1763171708
2025-12-04T08:53:09.3278693Z  * [new tag]                 viable/strict/1763174759    -> viable/strict/1763174759
2025-12-04T08:53:09.3279807Z  * [new tag]                 viable/strict/1763180744    -> viable/strict/1763180744
2025-12-04T08:53:09.3280883Z  * [new tag]                 viable/strict/1763182227    -> viable/strict/1763182227
2025-12-04T08:53:09.3282113Z  * [new tag]                 viable/strict/1763184309    -> viable/strict/1763184309
2025-12-04T08:53:09.3283770Z  * [new tag]                 viable/strict/1763187991    -> viable/strict/1763187991
2025-12-04T08:53:09.3284808Z  * [new tag]                 viable/strict/1763191445    -> viable/strict/1763191445
2025-12-04T08:53:09.3286310Z  * [new tag]                 viable/strict/1763195152    -> viable/strict/1763195152
2025-12-04T08:53:09.3287213Z  * [new tag]                 viable/strict/1763205769    -> viable/strict/1763205769
2025-12-04T08:53:09.3288593Z  * [new tag]                 viable/strict/1763246990    -> viable/strict/1763246990
2025-12-04T08:53:09.3289831Z  * [new tag]                 viable/strict/1763261578    -> viable/strict/1763261578
2025-12-04T08:53:09.3290805Z  * [new tag]                 viable/strict/1763286573    -> viable/strict/1763286573
2025-12-04T08:53:09.3291830Z  * [new tag]                 viable/strict/1763292167    -> viable/strict/1763292167
2025-12-04T08:53:09.3292923Z  * [new tag]                 viable/strict/1763333386    -> viable/strict/1763333386
2025-12-04T08:53:09.3294157Z  * [new tag]                 viable/strict/1763340082    -> viable/strict/1763340082
2025-12-04T08:53:09.3296013Z  * [new tag]                 viable/strict/1763364324    -> viable/strict/1763364324
2025-12-04T08:53:09.3297258Z  * [new tag]                 viable/strict/1763371569    -> viable/strict/1763371569
2025-12-04T08:53:09.3298242Z  * [new tag]                 viable/strict/1763373067    -> viable/strict/1763373067
2025-12-04T08:53:09.3299417Z  * [new tag]                 viable/strict/1763375157    -> viable/strict/1763375157
2025-12-04T08:53:09.3300609Z  * [new tag]                 viable/strict/1763382462    -> viable/strict/1763382462
2025-12-04T08:53:09.3301825Z  * [new tag]                 viable/strict/1763394661    -> viable/strict/1763394661
2025-12-04T08:53:09.3303273Z  * [new tag]                 viable/strict/1763396797    -> viable/strict/1763396797
2025-12-04T08:53:09.3304448Z  * [new tag]                 viable/strict/1763398542    -> viable/strict/1763398542
2025-12-04T08:53:09.3305612Z  * [new tag]                 viable/strict/1763401807    -> viable/strict/1763401807
2025-12-04T08:53:09.3307152Z  * [new tag]                 viable/strict/1763414698    -> viable/strict/1763414698
2025-12-04T08:53:09.3308204Z  * [new tag]                 viable/strict/1763419807    -> viable/strict/1763419807
2025-12-04T08:53:09.3309460Z  * [new tag]                 viable/strict/1763426369    -> viable/strict/1763426369
2025-12-04T08:53:09.3310525Z  * [new tag]                 viable/strict/1763428331    -> viable/strict/1763428331
2025-12-04T08:53:09.3311838Z  * [new tag]                 viable/strict/1763430922    -> viable/strict/1763430922
2025-12-04T08:53:09.3312710Z  * [new tag]                 viable/strict/1763434184    -> viable/strict/1763434184
2025-12-04T08:53:09.3313947Z  * [new tag]                 viable/strict/1763439973    -> viable/strict/1763439973
2025-12-04T08:53:09.3315256Z  * [new tag]                 viable/strict/1763444995    -> viable/strict/1763444995
2025-12-04T08:53:09.3316229Z  * [new tag]                 viable/strict/1763447206    -> viable/strict/1763447206
2025-12-04T08:53:09.3317675Z  * [new tag]                 viable/strict/1763448826    -> viable/strict/1763448826
2025-12-04T08:53:09.3318568Z  * [new tag]                 viable/strict/1763450717    -> viable/strict/1763450717
2025-12-04T08:53:09.3319857Z  * [new tag]                 viable/strict/1763452183    -> viable/strict/1763452183
2025-12-04T08:53:09.3321103Z  * [new tag]                 viable/strict/1763457945    -> viable/strict/1763457945
2025-12-04T08:53:09.3322187Z  * [new tag]                 viable/strict/1763459439    -> viable/strict/1763459439
2025-12-04T08:53:09.3323172Z  * [new tag]                 viable/strict/1763461556    -> viable/strict/1763461556
2025-12-04T08:53:09.3324483Z  * [new tag]                 viable/strict/1763463103    -> viable/strict/1763463103
2025-12-04T08:53:09.3325740Z  * [new tag]                 viable/strict/1763465100    -> viable/strict/1763465100
2025-12-04T08:53:09.3326641Z  * [new tag]                 viable/strict/1763468866    -> viable/strict/1763468866
2025-12-04T08:53:09.3327629Z  * [new tag]                 viable/strict/1763493823    -> viable/strict/1763493823
2025-12-04T08:53:09.3328567Z  * [new tag]                 viable/strict/1763496249    -> viable/strict/1763496249
2025-12-04T08:53:09.3329836Z  * [new tag]                 viable/strict/1763502620    -> viable/strict/1763502620
2025-12-04T08:53:09.3331079Z  * [new tag]                 viable/strict/1763504715    -> viable/strict/1763504715
2025-12-04T08:53:09.3332141Z  * [new tag]                 viable/strict/1763506208    -> viable/strict/1763506208
2025-12-04T08:53:09.3333442Z  * [new tag]                 viable/strict/1763520590    -> viable/strict/1763520590
2025-12-04T08:53:09.3334484Z  * [new tag]                 viable/strict/1763523357    -> viable/strict/1763523357
2025-12-04T08:53:09.3335781Z  * [new tag]                 viable/strict/1763529922    -> viable/strict/1763529922
2025-12-04T08:53:09.3336897Z  * [new tag]                 viable/strict/1763531408    -> viable/strict/1763531408
2025-12-04T08:53:09.3338102Z  * [new tag]                 viable/strict/1763533622    -> viable/strict/1763533622
2025-12-04T08:53:09.3339176Z  * [new tag]                 viable/strict/1763538576    -> viable/strict/1763538576
2025-12-04T08:53:09.3340611Z  * [new tag]                 viable/strict/1763545823    -> viable/strict/1763545823
2025-12-04T08:53:09.3341457Z  * [new tag]                 viable/strict/1763547951    -> viable/strict/1763547951
2025-12-04T08:53:09.3342835Z  * [new tag]                 viable/strict/1763551477    -> viable/strict/1763551477
2025-12-04T08:53:09.3343891Z  * [new tag]                 viable/strict/1763552982    -> viable/strict/1763552982
2025-12-04T08:53:09.3345160Z  * [new tag]                 viable/strict/1763594698    -> viable/strict/1763594698
2025-12-04T08:53:09.3346340Z  * [new tag]                 viable/strict/1763596178    -> viable/strict/1763596178
2025-12-04T08:53:09.3347480Z  * [new tag]                 viable/strict/1763599155    -> viable/strict/1763599155
2025-12-04T08:53:09.3348566Z  * [new tag]                 viable/strict/1763603717    -> viable/strict/1763603717
2025-12-04T08:53:09.3349852Z  * [new tag]                 viable/strict/1763606923    -> viable/strict/1763606923
2025-12-04T08:53:09.3350926Z  * [new tag]                 viable/strict/1763609715    -> viable/strict/1763609715
2025-12-04T08:53:09.3352141Z  * [new tag]                 viable/strict/1763612757    -> viable/strict/1763612757
2025-12-04T08:53:09.3353208Z  * [new tag]                 viable/strict/1763616325    -> viable/strict/1763616325
2025-12-04T08:53:09.3354436Z  * [new tag]                 viable/strict/1763623509    -> viable/strict/1763623509
2025-12-04T08:53:09.3355775Z  * [new tag]                 viable/strict/1763624984    -> viable/strict/1763624984
2025-12-04T08:53:09.3356816Z  * [new tag]                 viable/strict/1763628796    -> viable/strict/1763628796
2025-12-04T08:53:09.3358020Z  * [new tag]                 viable/strict/1763634343    -> viable/strict/1763634343
2025-12-04T08:53:09.3359157Z  * [new tag]                 viable/strict/1763635867    -> viable/strict/1763635867
2025-12-04T08:53:09.3360464Z  * [new tag]                 viable/strict/1763639382    -> viable/strict/1763639382
2025-12-04T08:53:09.3361727Z  * [new tag]                 viable/strict/1763646626    -> viable/strict/1763646626
2025-12-04T08:53:09.3362998Z  * [new tag]                 viable/strict/1763655997    -> viable/strict/1763655997
2025-12-04T08:53:09.3364230Z  * [new tag]                 viable/strict/1763659444    -> viable/strict/1763659444
2025-12-04T08:53:09.3365316Z  * [new tag]                 viable/strict/1763660992    -> viable/strict/1763660992
2025-12-04T08:53:09.3366774Z  * [new tag]                 viable/strict/1763663201    -> viable/strict/1763663201
2025-12-04T08:53:09.3368050Z  * [new tag]                 viable/strict/1763670362    -> viable/strict/1763670362
2025-12-04T08:53:09.3368915Z  * [new tag]                 viable/strict/1763675378    -> viable/strict/1763675378
2025-12-04T08:53:09.3370195Z  * [new tag]                 viable/strict/1763693343    -> viable/strict/1763693343
2025-12-04T08:53:09.3371233Z  * [new tag]                 viable/strict/1763696088    -> viable/strict/1763696088
2025-12-04T08:53:09.3372629Z  * [new tag]                 viable/strict/1763697343    -> viable/strict/1763697343
2025-12-04T08:53:09.3373658Z  * [new tag]                 viable/strict/1763699165    -> viable/strict/1763699165
2025-12-04T08:53:09.3374950Z  * [new tag]                 viable/strict/1763700660    -> viable/strict/1763700660
2025-12-04T08:53:09.3375980Z  * [new tag]                 viable/strict/1763704209    -> viable/strict/1763704209
2025-12-04T08:53:09.3380675Z  * [new tag]                 viable/strict/1763706411    -> viable/strict/1763706411
2025-12-04T08:53:09.3381716Z  * [new tag]                 viable/strict/1763708082    -> viable/strict/1763708082
2025-12-04T08:53:09.3382713Z  * [new tag]                 viable/strict/1763711381    -> viable/strict/1763711381
2025-12-04T08:53:09.3383740Z  * [new tag]                 viable/strict/1763713593    -> viable/strict/1763713593
2025-12-04T08:53:09.3385350Z  * [new tag]                 viable/strict/1763715201    -> viable/strict/1763715201
2025-12-04T08:53:09.3386372Z  * [new tag]                 viable/strict/1763733017    -> viable/strict/1763733017
2025-12-04T08:53:09.3387487Z  * [new tag]                 viable/strict/1763735108    -> viable/strict/1763735108
2025-12-04T08:53:09.3388751Z  * [new tag]                 viable/strict/1763749579    -> viable/strict/1763749579
2025-12-04T08:53:09.3389792Z  * [new tag]                 viable/strict/1763751113    -> viable/strict/1763751113
2025-12-04T08:53:09.3391032Z  * [new tag]                 viable/strict/1763753035    -> viable/strict/1763753035
2025-12-04T08:53:09.3392113Z  * [new tag]                 viable/strict/1763754578    -> viable/strict/1763754578
2025-12-04T08:53:09.3393272Z  * [new tag]                 viable/strict/1763756748    -> viable/strict/1763756748
2025-12-04T08:53:09.3394335Z  * [new tag]                 viable/strict/1763758205    -> viable/strict/1763758205
2025-12-04T08:53:09.3395280Z  * [new tag]                 viable/strict/1763764050    -> viable/strict/1763764050
2025-12-04T08:53:09.3396369Z  * [new tag]                 viable/strict/1763771887    -> viable/strict/1763771887
2025-12-04T08:53:09.3397734Z  * [new tag]                 viable/strict/1763773920    -> viable/strict/1763773920
2025-12-04T08:53:09.3398695Z  * [new tag]                 viable/strict/1763776501    -> viable/strict/1763776501
2025-12-04T08:53:09.3399752Z  * [new tag]                 viable/strict/1763779437    -> viable/strict/1763779437
2025-12-04T08:53:09.3401231Z  * [new tag]                 viable/strict/1763781038    -> viable/strict/1763781038
2025-12-04T08:53:09.3402156Z  * [new tag]                 viable/strict/1763782245    -> viable/strict/1763782245
2025-12-04T08:53:09.3403388Z  * [new tag]                 viable/strict/1763785568    -> viable/strict/1763785568
2025-12-04T08:53:09.3404585Z  * [new tag]                 viable/strict/1763787006    -> viable/strict/1763787006
2025-12-04T08:53:09.3405740Z  * [new tag]                 viable/strict/1763789103    -> viable/strict/1763789103
2025-12-04T08:53:09.3406738Z  * [new tag]                 viable/strict/1763790578    -> viable/strict/1763790578
2025-12-04T08:53:09.3407971Z  * [new tag]                 viable/strict/1763796275    -> viable/strict/1763796275
2025-12-04T08:53:09.3409431Z  * [new tag]                 viable/strict/1763801465    -> viable/strict/1763801465
2025-12-04T08:53:09.3410404Z  * [new tag]                 viable/strict/1763803522    -> viable/strict/1763803522
2025-12-04T08:53:09.3411468Z  * [new tag]                 viable/strict/1763808581    -> viable/strict/1763808581
2025-12-04T08:53:09.3412511Z  * [new tag]                 viable/strict/1763840977    -> viable/strict/1763840977
2025-12-04T08:53:09.3413578Z  * [new tag]                 viable/strict/1763846659    -> viable/strict/1763846659
2025-12-04T08:53:09.3414656Z  * [new tag]                 viable/strict/1763872065    -> viable/strict/1763872065
2025-12-04T08:53:09.3415892Z  * [new tag]                 viable/strict/1763873648    -> viable/strict/1763873648
2025-12-04T08:53:09.3416978Z  * [new tag]                 viable/strict/1763875506    -> viable/strict/1763875506
2025-12-04T08:53:09.3417948Z  * [new tag]                 viable/strict/1763889904    -> viable/strict/1763889904
2025-12-04T08:53:09.3419179Z  * [new tag]                 viable/strict/1763930999    -> viable/strict/1763930999
2025-12-04T08:53:09.3420289Z  * [new tag]                 viable/strict/1763944964    -> viable/strict/1763944964
2025-12-04T08:53:09.3421243Z  * [new tag]                 viable/strict/1763958474    -> viable/strict/1763958474
2025-12-04T08:53:09.3422299Z  * [new tag]                 viable/strict/1763967263    -> viable/strict/1763967263
2025-12-04T08:53:09.3423506Z  * [new tag]                 viable/strict/1763972803    -> viable/strict/1763972803
2025-12-04T08:53:09.3424531Z  * [new tag]                 viable/strict/1763976376    -> viable/strict/1763976376
2025-12-04T08:53:09.3425615Z  * [new tag]                 viable/strict/1763989404    -> viable/strict/1763989404
2025-12-04T08:53:09.3426826Z  * [new tag]                 viable/strict/1763990887    -> viable/strict/1763990887
2025-12-04T08:53:09.3427838Z  * [new tag]                 viable/strict/1764019919    -> viable/strict/1764019919
2025-12-04T08:53:09.3429092Z  * [new tag]                 viable/strict/1764023134    -> viable/strict/1764023134
2025-12-04T08:53:09.3429950Z  * [new tag]                 viable/strict/1764024593    -> viable/strict/1764024593
2025-12-04T08:53:09.3431175Z  * [new tag]                 viable/strict/1764026706    -> viable/strict/1764026706
2025-12-04T08:53:09.3432639Z  * [new tag]                 viable/strict/1764031139    -> viable/strict/1764031139
2025-12-04T08:53:09.3433637Z  * [new tag]                 viable/strict/1764033131    -> viable/strict/1764033131
2025-12-04T08:53:09.3434623Z  * [new tag]                 viable/strict/1764035725    -> viable/strict/1764035725
2025-12-04T08:53:09.3435542Z  * [new tag]                 viable/strict/1764624265    -> viable/strict/1764624265
2025-12-04T08:53:09.3436480Z  * [new tag]                 viable/strict/1764631514    -> viable/strict/1764631514
2025-12-04T08:53:09.3437520Z  * [new tag]                 viable/strict/1764632987    -> viable/strict/1764632987
2025-12-04T08:53:09.3438432Z  * [new tag]                 viable/strict/1764636063    -> viable/strict/1764636063
2025-12-04T08:53:09.3439388Z  * [new tag]                 viable/strict/1764643975    -> viable/strict/1764643975
2025-12-04T08:53:09.3440305Z  * [new tag]                 viable/strict/1764646859    -> viable/strict/1764646859
2025-12-04T08:53:09.3441253Z  * [new tag]                 viable/strict/1764653120    -> viable/strict/1764653120
2025-12-04T08:53:09.3442215Z  * [new tag]                 viable/strict/1764654632    -> viable/strict/1764654632
2025-12-04T08:53:09.3443199Z  * [new tag]                 viable/strict/1764656821    -> viable/strict/1764656821
2025-12-04T08:53:09.3444058Z  * [new tag]                 viable/strict/1764658557    -> viable/strict/1764658557
2025-12-04T08:53:09.3444991Z  * [new tag]                 viable/strict/1764660333    -> viable/strict/1764660333
2025-12-04T08:53:09.3445928Z  * [new tag]                 viable/strict/1764661812    -> viable/strict/1764661812
2025-12-04T08:53:09.3446860Z  * [new tag]                 viable/strict/1764664023    -> viable/strict/1764664023
2025-12-04T08:53:09.3447801Z  * [new tag]                 viable/strict/1764669150    -> viable/strict/1764669150
2025-12-04T08:53:09.3448689Z  * [new tag]                 viable/strict/1764680709    -> viable/strict/1764680709
2025-12-04T08:53:09.3449628Z  * [new tag]                 viable/strict/1764687619    -> viable/strict/1764687619
2025-12-04T08:53:09.3450556Z  * [new tag]                 viable/strict/1764696355    -> viable/strict/1764696355
2025-12-04T08:53:09.3451470Z  * [new tag]                 viable/strict/1764701767    -> viable/strict/1764701767
2025-12-04T08:53:09.3452421Z  * [new tag]                 viable/strict/1764710768    -> viable/strict/1764710768
2025-12-04T08:53:09.3453830Z  * [new tag]                 viable/strict/1764716202    -> viable/strict/1764716202
2025-12-04T08:53:09.3454687Z  * [new tag]                 viable/strict/1764793566    -> viable/strict/1764793566
2025-12-04T08:53:09.3455636Z  * [new tag]                 viable/strict/1764797093    -> viable/strict/1764797093
2025-12-04T08:53:09.3456562Z  * [new tag]                 viable/strict/1764800729    -> viable/strict/1764800729
2025-12-04T08:53:09.3457877Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-12-04T08:53:09.3458918Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-12-04T08:53:09.3460441Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-12-04T08:53:09.4200046Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object}
2025-12-04T08:53:09.4223402Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:53:09.4227165Z ##[endgroup]
2025-12-04T08:53:09.4227526Z ##[group]Determining the checkout info
2025-12-04T08:53:09.4228351Z ##[endgroup]
2025-12-04T08:53:09.4231890Z [command]/usr/bin/git sparse-checkout disable
2025-12-04T08:53:09.4262768Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-12-04T08:53:09.4295047Z ##[group]Checking out the ref
2025-12-04T08:53:09.4298375Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:53:10.4772482Z Updating files:  81% (16325/20121)
2025-12-04T08:53:10.4978518Z Updating files:  82% (16500/20121)
2025-12-04T08:53:10.5124985Z Updating files:  83% (16701/20121)
2025-12-04T08:53:10.5260001Z Updating files:  84% (16902/20121)
2025-12-04T08:53:10.5416754Z Updating files:  85% (17103/20121)
2025-12-04T08:53:10.5566877Z Updating files:  86% (17305/20121)
2025-12-04T08:53:10.5703260Z Updating files:  87% (17506/20121)
2025-12-04T08:53:10.5814186Z Updating files:  88% (17707/20121)
2025-12-04T08:53:10.5946677Z Updating files:  89% (17908/20121)
2025-12-04T08:53:10.6114876Z Updating files:  90% (18109/20121)
2025-12-04T08:53:10.6227404Z Updating files:  91% (18311/20121)
2025-12-04T08:53:10.6376987Z Updating files:  92% (18512/20121)
2025-12-04T08:53:10.6557667Z Updating files:  93% (18713/20121)
2025-12-04T08:53:10.6758096Z Updating files:  94% (18914/20121)
2025-12-04T08:53:10.6929063Z Updating files:  95% (19115/20121)
2025-12-04T08:53:10.7081675Z Updating files:  96% (19317/20121)
2025-12-04T08:53:10.7242065Z Updating files:  97% (19518/20121)
2025-12-04T08:53:10.7517743Z Updating files:  98% (19719/20121)
2025-12-04T08:53:10.7689262Z Updating files:  99% (19920/20121)
2025-12-04T08:53:10.7689895Z Updating files: 100% (20121/20121)
2025-12-04T08:53:10.7690274Z Updating files: 100% (20121/20121), done.
2025-12-04T08:53:10.7961245Z Note: switching to 'ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32'.
2025-12-04T08:53:10.7961669Z 
2025-12-04T08:53:10.7961905Z You are in 'detached HEAD' state. You can look around, make experimental
2025-12-04T08:53:10.7962447Z changes and commit them, and you can discard any commits you make in this
2025-12-04T08:53:10.7963011Z state without impacting any branches by switching back to a branch.
2025-12-04T08:53:10.7963336Z 
2025-12-04T08:53:10.7963559Z If you want to create a new branch to retain commits you create, you may
2025-12-04T08:53:10.7964059Z do so (now or later) by using -c with the switch command. Example:
2025-12-04T08:53:10.7964364Z 
2025-12-04T08:53:10.7964475Z   git switch -c <new-branch-name>
2025-12-04T08:53:10.7964686Z 
2025-12-04T08:53:10.7964790Z Or undo this operation with:
2025-12-04T08:53:10.7964977Z 
2025-12-04T08:53:10.7965079Z   git switch -
2025-12-04T08:53:10.7965209Z 
2025-12-04T08:53:10.7965442Z Turn off this advice by setting config variable advice.detachedHead to false
2025-12-04T08:53:10.7965808Z 
2025-12-04T08:53:10.7966075Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919)
2025-12-04T08:53:10.8033846Z ##[endgroup]
2025-12-04T08:53:10.8034278Z ##[group]Setting up auth for fetching submodules
2025-12-04T08:53:10.8039815Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T08:53:10.8090636Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-12-04T08:53:10.8119548Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-12-04T08:53:10.8145371Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-12-04T08:53:10.8167538Z ##[endgroup]
2025-12-04T08:53:10.8167936Z ##[group]Fetching submodules
2025-12-04T08:53:10.8171328Z [command]/usr/bin/git submodule sync --recursive
2025-12-04T08:53:10.8483814Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-12-04T08:53:10.8817491Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-12-04T08:53:10.8819046Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-12-04T08:53:10.8822146Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-12-04T08:53:10.8825048Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-12-04T08:53:10.8828022Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-12-04T08:53:10.8831616Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-12-04T08:53:10.8834603Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-12-04T08:53:10.8837869Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-12-04T08:53:10.8841376Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-12-04T08:53:10.8845113Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-12-04T08:53:10.8848754Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-12-04T08:53:10.8852405Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-12-04T08:53:10.8856336Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-12-04T08:53:10.8860373Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-12-04T08:53:10.8864248Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-12-04T08:53:10.8869067Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-12-04T08:53:10.8874924Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-12-04T08:53:10.8881696Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-12-04T08:53:10.8885954Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-12-04T08:53:10.8890299Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-12-04T08:53:10.8894978Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-12-04T08:53:10.8899805Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-12-04T08:53:10.8904596Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-12-04T08:53:10.8909417Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-12-04T08:53:10.8914396Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-12-04T08:53:10.8919389Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-12-04T08:53:10.8924453Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-12-04T08:53:10.8929549Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-12-04T08:53:10.8935077Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-12-04T08:53:10.8940413Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-12-04T08:53:10.8945962Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-12-04T08:53:10.8951513Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-12-04T08:53:10.8957246Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-12-04T08:53:10.8964348Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-12-04T08:53:10.8970333Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-12-04T08:53:10.8977119Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-12-04T08:53:10.8982693Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-12-04T08:53:10.9013458Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-12-04T08:53:11.1317147Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-12-04T08:53:11.1317911Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-12-04T08:53:11.1343764Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-12-04T08:53:23.2687225Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-12-04T08:53:23.2689114Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-12-04T08:53:23.2690752Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-12-04T08:53:23.2692445Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-12-04T08:53:23.2694076Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-12-04T08:53:23.2695641Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-12-04T08:53:23.2697346Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-12-04T08:53:23.2699055Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-12-04T08:53:23.2700962Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-12-04T08:53:23.2702528Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-12-04T08:53:23.2704002Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-12-04T08:53:23.2705649Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-12-04T08:53:23.2707088Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-12-04T08:53:23.2708582Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-12-04T08:53:23.2710074Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-12-04T08:53:23.2711533Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-12-04T08:53:23.2713116Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-12-04T08:53:23.2714649Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-12-04T08:53:23.2716215Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-12-04T08:53:23.2717691Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-12-04T08:53:23.2719292Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-12-04T08:53:23.2720732Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-12-04T08:53:23.2722319Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-12-04T08:53:23.3104333Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-12-04T08:53:54.4669741Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-12-04T08:53:54.4671579Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-12-04T08:53:54.4673058Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-12-04T08:53:54.4674478Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-12-04T08:53:54.4675986Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-12-04T08:53:54.4677344Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-12-04T08:53:54.4678730Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-12-04T08:53:54.5670895Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-12-04T08:53:57.3095967Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-12-04T08:53:57.3258733Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-12-04T08:53:57.3382577Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-12-04T08:53:57.3476031Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-12-04T08:53:57.3728975Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-12-04T08:53:57.4571683Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6'
2025-12-04T08:53:57.5081268Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-12-04T08:53:58.2522202Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-12-04T08:53:58.4412103Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-12-04T08:53:58.4432018Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:53:58.4458534Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-12-04T08:54:03.5834775Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-12-04T08:54:03.6076224Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-12-04T08:54:03.9635673Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T08:54:04.0124548Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246'
2025-12-04T08:54:04.1096828Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc'
2025-12-04T08:54:04.1597769Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396'
2025-12-04T08:54:04.8149123Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588'
2025-12-04T08:54:04.9708651Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4'
2025-12-04T08:54:04.9728788Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-12-04T08:54:04.9731359Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-12-04T08:54:04.9733908Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-12-04T08:54:04.9736647Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-12-04T08:54:04.9739572Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-12-04T08:54:04.9742660Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:54:04.9745533Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-12-04T08:54:04.9778082Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-12-04T08:54:06.7945038Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-12-04T08:54:06.7946840Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-12-04T08:54:06.7948597Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-12-04T08:54:06.8946198Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-12-04T08:54:10.6870249Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-12-04T08:54:10.7870899Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-12-04T08:54:14.7469751Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-12-04T08:54:15.1044678Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T08:54:15.2052517Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-12-04T08:54:15.8421492Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8'
2025-12-04T08:54:15.8889466Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:54:15.9009237Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-12-04T08:54:16.0094372Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-12-04T08:54:16.0813423Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-12-04T08:54:16.0833017Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T08:54:16.0835702Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-12-04T08:54:16.0863204Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-12-04T08:54:21.0747266Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-12-04T08:54:21.3195621Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-12-04T08:54:21.8833291Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-12-04T08:54:22.0246452Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-12-04T08:54:22.0546663Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f'
2025-12-04T08:54:22.0951212Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-12-04T08:54:22.1211083Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-12-04T08:54:22.1668566Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:54:22.1801491Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-12-04T08:54:22.1817414Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-12-04T08:54:22.1841497Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-12-04T08:54:39.2874693Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-12-04T08:54:39.3093728Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-12-04T08:54:39.3953231Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943'
2025-12-04T08:54:39.3970883Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T08:54:39.3972857Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T08:54:39.3976900Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T08:54:39.4007142Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-12-04T08:54:40.3703231Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-12-04T08:54:41.4878645Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-12-04T08:54:41.5801639Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-12-04T08:54:41.5818733Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T08:54:41.5821492Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T08:54:41.5824500Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T08:54:41.5827178Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T08:54:41.5830003Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T08:54:41.5833630Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T08:54:41.5836714Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T08:54:41.5839536Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T08:54:41.5843035Z 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'
2025-12-04T08:54:41.5873354Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-12-04T08:54:44.0378799Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-12-04T08:54:44.0380745Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-12-04T08:54:44.0382277Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-12-04T08:54:44.0383953Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'...
2025-12-04T08:54:44.0385474Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-12-04T08:54:44.0386883Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-12-04T08:54:44.0388059Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-12-04T08:54:44.1380048Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-12-04T08:54:51.1509733Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-12-04T08:54:51.1698806Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-12-04T08:54:51.2064305Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-12-04T08:54:51.2202321Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-12-04T08:54:51.2217982Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T08:54:51.2244553Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-12-04T08:54:51.4937406Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-12-04T08:54:51.5124360Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-12-04T08:54:51.5575854Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:54:51.6590031Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-12-04T08:54:51.6760370Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-12-04T08:54:51.6934963Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-12-04T08:54:51.6950893Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:54:51.6953878Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:54:51.6981307Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-12-04T08:54:54.4248028Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'...
2025-12-04T08:54:54.6754294Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-12-04T08:54:54.7229456Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T08:54:54.7549264Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-12-04T08:54:54.8009590Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:54:54.8541541Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe'
2025-12-04T08:54:54.8926604Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-12-04T08:54:54.9939100Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-12-04T08:54:55.4140827Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-12-04T08:54:55.4179127Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-12-04T08:54:55.4207030Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-12-04T08:54:56.3810817Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-12-04T08:54:56.4520385Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-12-04T08:54:56.4540983Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T08:54:56.4543115Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T08:54:56.4545697Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T08:54:56.4548610Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:54:56.4551656Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T08:54:56.4554894Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T08:54:56.4557918Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T08:54:56.4560437Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T08:54:56.4588167Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-12-04T08:54:56.9361554Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-12-04T08:54:56.9362827Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-12-04T08:54:56.9364243Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-12-04T08:54:56.9365392Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-12-04T08:54:57.0362292Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-12-04T08:54:58.1910194Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-12-04T08:55:08.7158409Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-12-04T08:55:08.7354552Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-12-04T08:55:08.7764375Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-12-04T08:55:08.7943575Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-12-04T08:55:08.8988065Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-12-04T08:55:08.9127715Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-12-04T08:55:08.9279513Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-12-04T08:55:08.9442110Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-12-04T08:55:08.9458026Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:55:08.9460531Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:55:08.9487347Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-12-04T08:55:11.4083098Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-12-04T08:55:11.6589539Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-12-04T08:55:11.7063259Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T08:55:12.1894435Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-12-04T08:55:12.2018443Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-12-04T08:55:12.4742900Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-12-04T08:55:12.4764254Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-12-04T08:55:12.4766818Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-12-04T08:55:12.4794724Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-12-04T08:55:12.9935112Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-12-04T08:55:13.5721384Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-12-04T08:55:13.6443236Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-12-04T08:55:13.6537690Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-12-04T08:55:13.6661683Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-12-04T08:55:13.7086715Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-12-04T08:55:13.7373899Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-12-04T08:55:13.7856295Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-12-04T08:55:13.8151252Z Submodule path 'third_party/tensorpipe': checked out '2b4cd91092d335a697416b2a3cb398283246849d'
2025-12-04T08:55:13.8169723Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:55:13.8172521Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:55:13.8176210Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:55:13.8178847Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:55:13.8207805Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'...
2025-12-04T08:55:15.4811191Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'...
2025-12-04T08:55:15.4812747Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'...
2025-12-04T08:55:15.4813700Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'...
2025-12-04T08:55:15.5390173Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-12-04T08:55:15.5553723Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2025-12-04T08:55:15.6308948Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b'
2025-12-04T08:55:15.6603556Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2025-12-04T08:55:15.6620398Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:55:15.6646309Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11/tools/clang'...
2025-12-04T08:55:15.8196047Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2025-12-04T08:55:15.8230272Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
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2025-12-04T08:55:15.8733057Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T08:55:15.8773302Z Entering 'third_party/XNNPACK'
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2025-12-04T08:55:15.8872714Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:55:15.8921881Z Entering 'third_party/benchmark'
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2025-12-04T08:55:15.9012101Z Entering 'third_party/cpp-httplib'
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2025-12-04T08:55:15.9136768Z Entering 'third_party/cutlass'
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2025-12-04T08:55:16.1987154Z ##[endgroup]
2025-12-04T08:55:16.1987614Z ##[group]Persisting credentials for submodules
2025-12-04T08:55:16.1993866Z [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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2025-12-04T08:55:16.5868224Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
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2025-12-04T08:55:16.6218038Z Entering 'third_party/psimd'
2025-12-04T08:55:16.6271555Z Entering 'third_party/pthreadpool'
2025-12-04T08:55:16.6325555Z Entering 'third_party/pybind11'
2025-12-04T08:55:16.6380595Z Entering 'third_party/python-peachpy'
2025-12-04T08:55:16.6434285Z Entering 'third_party/sleef'
2025-12-04T08:55:16.6488636Z Entering 'third_party/tensorpipe'
2025-12-04T08:55:16.6541826Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:55:16.6594669Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:55:16.6646162Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:55:16.6700513Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:55:16.6751445Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:55:16.6820511Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-12-04T08:55:16.7108886Z Entering 'android/libs/fbjni'
2025-12-04T08:55:16.7159175Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-12-04T08:55:16.7176047Z Entering 'third_party/FP16'
2025-12-04T08:55:16.7227258Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-12-04T08:55:16.7243829Z Entering 'third_party/FXdiv'
2025-12-04T08:55:16.7294528Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-12-04T08:55:16.7311031Z Entering 'third_party/NNPACK'
2025-12-04T08:55:16.7360559Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-12-04T08:55:16.7377984Z Entering 'third_party/NVTX'
2025-12-04T08:55:16.7427930Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-12-04T08:55:16.7445089Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T08:55:16.7500401Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-12-04T08:55:16.7516416Z Entering 'third_party/XNNPACK'
2025-12-04T08:55:16.7566347Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-12-04T08:55:16.7599894Z Entering 'third_party/aiter'
2025-12-04T08:55:16.7649423Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-12-04T08:55:16.7667252Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:55:16.7717227Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-12-04T08:55:16.7740212Z Entering 'third_party/benchmark'
2025-12-04T08:55:16.7790929Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-12-04T08:55:16.7807453Z Entering 'third_party/composable_kernel'
2025-12-04T08:55:16.7857371Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-12-04T08:55:16.7881276Z Entering 'third_party/cpp-httplib'
2025-12-04T08:55:16.7930508Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-12-04T08:55:16.7947034Z Entering 'third_party/cpuinfo'
2025-12-04T08:55:16.7999889Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-12-04T08:55:16.8017074Z Entering 'third_party/cudnn_frontend'
2025-12-04T08:55:16.8067155Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-12-04T08:55:16.8086342Z Entering 'third_party/cutlass'
2025-12-04T08:55:16.8136975Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-12-04T08:55:16.8163667Z Entering 'third_party/fbgemm'
2025-12-04T08:55:16.8214383Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-12-04T08:55:16.8232826Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T08:55:16.8282685Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-12-04T08:55:16.8297390Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T08:55:16.8346439Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
2025-12-04T08:55:16.8369931Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T08:55:16.8419158Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-12-04T08:55:16.8434526Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T08:55:16.8484132Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-12-04T08:55:16.8511919Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T08:55:16.8561744Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-12-04T08:55:16.8576913Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:55:16.8625794Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
2025-12-04T08:55:16.8640226Z Entering 'third_party/fbgemm/external/json'
2025-12-04T08:55:16.8689659Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config	remote.origin.url
2025-12-04T08:55:16.8708044Z Entering 'third_party/flash-attention'
2025-12-04T08:55:16.8762841Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config	remote.origin.url
2025-12-04T08:55:16.8779063Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T08:55:16.8829186Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config	remote.origin.url
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2025-12-04T08:55:17.5677750Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T08:55:17.5719541Z Entering 'third_party/kleidiai'
2025-12-04T08:55:17.5764108Z Entering 'third_party/mimalloc'
2025-12-04T08:55:17.5808894Z Entering 'third_party/nlohmann'
2025-12-04T08:55:17.5853868Z Entering 'third_party/onnx'
2025-12-04T08:55:17.5913255Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T08:55:17.5964169Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T08:55:17.6002339Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T08:55:17.6044436Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T08:55:17.6084300Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T08:55:17.6124037Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:55:17.6165494Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T08:55:17.6205698Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T08:55:17.6246450Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T08:55:17.6285121Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:55:17.6327440Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:55:17.6370435Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T08:55:17.6435204Z Entering 'third_party/pocketfft'
2025-12-04T08:55:17.6477877Z Entering 'third_party/protobuf'
2025-12-04T08:55:17.6522175Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T08:55:17.6561588Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T08:55:17.6606026Z Entering 'third_party/psimd'
2025-12-04T08:55:17.6648730Z Entering 'third_party/pthreadpool'
2025-12-04T08:55:17.6689921Z Entering 'third_party/pybind11'
2025-12-04T08:55:17.6731914Z Entering 'third_party/python-peachpy'
2025-12-04T08:55:17.6771980Z Entering 'third_party/sleef'
2025-12-04T08:55:17.6815034Z Entering 'third_party/tensorpipe'
2025-12-04T08:55:17.6856513Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:55:17.6897691Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:55:17.6937986Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:55:17.6978207Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:55:17.7016328Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:55:17.7072108Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-12-04T08:55:17.7362777Z Entering 'android/libs/fbjni'
2025-12-04T08:55:17.7406512Z Entering 'third_party/FP16'
2025-12-04T08:55:17.7447102Z Entering 'third_party/FXdiv'
2025-12-04T08:55:17.7488471Z Entering 'third_party/NNPACK'
2025-12-04T08:55:17.7529327Z Entering 'third_party/NVTX'
2025-12-04T08:55:17.7571449Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T08:55:17.7613948Z Entering 'third_party/XNNPACK'
2025-12-04T08:55:17.7689421Z Entering 'third_party/aiter'
2025-12-04T08:55:17.7730956Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:55:17.7779284Z Entering 'third_party/benchmark'
2025-12-04T08:55:17.7820654Z Entering 'third_party/composable_kernel'
2025-12-04T08:55:17.7868567Z Entering 'third_party/cpp-httplib'
2025-12-04T08:55:17.7911217Z Entering 'third_party/cpuinfo'
2025-12-04T08:55:17.7954086Z Entering 'third_party/cudnn_frontend'
2025-12-04T08:55:17.7996721Z Entering 'third_party/cutlass'
2025-12-04T08:55:17.8048274Z Entering 'third_party/fbgemm'
2025-12-04T08:55:17.8092543Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T08:55:17.8132149Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T08:55:17.8179657Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T08:55:17.8220545Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T08:55:17.8270976Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T08:55:17.8312726Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:55:17.8351966Z Entering 'third_party/fbgemm/external/json'
2025-12-04T08:55:17.8394442Z Entering 'third_party/flash-attention'
2025-12-04T08:55:17.8437094Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T08:55:17.8483689Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T08:55:17.8533771Z Entering 'third_party/flatbuffers'
2025-12-04T08:55:17.8577999Z Entering 'third_party/fmt'
2025-12-04T08:55:17.8618846Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T08:55:17.8660863Z Entering 'third_party/gloo'
2025-12-04T08:55:17.8701928Z Entering 'third_party/googletest'
2025-12-04T08:55:17.8744574Z Entering 'third_party/ideep'
2025-12-04T08:55:17.8784683Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T08:55:17.8832557Z Entering 'third_party/ittapi'
2025-12-04T08:55:17.8873420Z Entering 'third_party/kineto'
2025-12-04T08:55:17.8914874Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T08:55:17.8955436Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T08:55:17.8997768Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T08:55:17.9039855Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T08:55:17.9084399Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T08:55:17.9123740Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T08:55:17.9166141Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T08:55:17.9206293Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T08:55:17.9247587Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T08:55:17.9290429Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T08:55:17.9331084Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T08:55:17.9370532Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:55:17.9413346Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:55:17.9457131Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T08:55:17.9498031Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T08:55:17.9539141Z Entering 'third_party/kleidiai'
2025-12-04T08:55:17.9582347Z Entering 'third_party/mimalloc'
2025-12-04T08:55:17.9623617Z Entering 'third_party/nlohmann'
2025-12-04T08:55:17.9665749Z Entering 'third_party/onnx'
2025-12-04T08:55:17.9726293Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T08:55:17.9771005Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T08:55:17.9815566Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T08:55:17.9855776Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T08:55:17.9896239Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T08:55:17.9935813Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:55:17.9978481Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T08:55:18.0018226Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T08:55:18.0056998Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T08:55:18.0096826Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:55:18.0140542Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:55:18.0182449Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T08:55:18.0245695Z Entering 'third_party/pocketfft'
2025-12-04T08:55:18.0287312Z Entering 'third_party/protobuf'
2025-12-04T08:55:18.0333053Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T08:55:18.0372699Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T08:55:18.0413631Z Entering 'third_party/psimd'
2025-12-04T08:55:18.0453937Z Entering 'third_party/pthreadpool'
2025-12-04T08:55:18.0495496Z Entering 'third_party/pybind11'
2025-12-04T08:55:18.0536778Z Entering 'third_party/python-peachpy'
2025-12-04T08:55:18.0577879Z Entering 'third_party/sleef'
2025-12-04T08:55:18.0620022Z Entering 'third_party/tensorpipe'
2025-12-04T08:55:18.0661024Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:55:18.0701564Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:55:18.0744209Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:55:18.0784741Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:55:18.0823555Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:55:18.0877884Z ##[endgroup]
2025-12-04T08:55:18.0912874Z [command]/usr/bin/git log -1 --format=%H
2025-12-04T08:55:18.0934252Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:55:18.1041916Z ##[group]Run cd "${GITHUB_WORKSPACE}"
2025-12-04T08:55:18.1042284Z cd "${GITHUB_WORKSPACE}"
2025-12-04T08:55:18.1042586Z # Clean stale submodule dirs
2025-12-04T08:55:18.1042911Z if [ -z "${NO_SUDO}" ]; then
2025-12-04T08:55:18.1043307Z   sudo git submodule foreach --recursive git clean -ffdx
2025-12-04T08:55:18.1043693Z else
2025-12-04T08:55:18.1044000Z   git submodule foreach --recursive git clean -ffdx
2025-12-04T08:55:18.1044365Z fi
2025-12-04T08:55:18.1054113Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:55:18.1054523Z env:
2025-12-04T08:55:18.1054753Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:55:18.1055010Z   NO_SUDO: true
2025-12-04T08:55:18.1055385Z ##[endgroup]
2025-12-04T08:55:18.1372529Z Entering 'android/libs/fbjni'
2025-12-04T08:55:18.1405178Z Entering 'third_party/FP16'
2025-12-04T08:55:18.1434590Z Entering 'third_party/FXdiv'
2025-12-04T08:55:18.1463591Z Entering 'third_party/NNPACK'
2025-12-04T08:55:18.1496638Z Entering 'third_party/NVTX'
2025-12-04T08:55:18.1535563Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T08:55:18.1567594Z Entering 'third_party/XNNPACK'
2025-12-04T08:55:18.1688559Z Entering 'third_party/aiter'
2025-12-04T08:55:18.1730859Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:55:18.1841147Z Entering 'third_party/benchmark'
2025-12-04T08:55:18.1873350Z Entering 'third_party/composable_kernel'
2025-12-04T08:55:18.1986212Z Entering 'third_party/cpp-httplib'
2025-12-04T08:55:18.2018718Z Entering 'third_party/cpuinfo'
2025-12-04T08:55:18.2053721Z Entering 'third_party/cudnn_frontend'
2025-12-04T08:55:18.2087019Z Entering 'third_party/cutlass'
2025-12-04T08:55:18.2187889Z Entering 'third_party/fbgemm'
2025-12-04T08:55:18.2246539Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T08:55:18.2277514Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T08:55:18.2391588Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T08:55:18.2425750Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T08:55:18.2522263Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T08:55:18.2555634Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:55:18.2584551Z Entering 'third_party/fbgemm/external/json'
2025-12-04T08:55:18.2627531Z Entering 'third_party/flash-attention'
2025-12-04T08:55:18.2668866Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T08:55:18.2767565Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T08:55:18.2852880Z Entering 'third_party/flatbuffers'
2025-12-04T08:55:18.2924233Z Entering 'third_party/fmt'
2025-12-04T08:55:18.2957252Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T08:55:18.2990407Z Entering 'third_party/gloo'
2025-12-04T08:55:18.3023304Z Entering 'third_party/googletest'
2025-12-04T08:55:18.3055840Z Entering 'third_party/ideep'
2025-12-04T08:55:18.3084623Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T08:55:18.3171322Z Entering 'third_party/ittapi'
2025-12-04T08:55:18.3206744Z Entering 'third_party/kineto'
2025-12-04T08:55:18.3240732Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T08:55:18.3276517Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T08:55:18.3319511Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T08:55:18.3349858Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T08:55:18.3381040Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T08:55:18.3408941Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T08:55:18.3441733Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T08:55:18.3472649Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T08:55:18.3507172Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T08:55:18.3546722Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T08:55:18.3575934Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T08:55:18.3606203Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:55:18.3652036Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:55:18.3689398Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T08:55:18.3722061Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T08:55:18.3755563Z Entering 'third_party/kleidiai'
2025-12-04T08:55:18.3793790Z Entering 'third_party/mimalloc'
2025-12-04T08:55:18.3828542Z Entering 'third_party/nlohmann'
2025-12-04T08:55:18.3872788Z Entering 'third_party/onnx'
2025-12-04T08:55:18.4203121Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T08:55:18.4238765Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T08:55:18.4293048Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T08:55:18.4323744Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T08:55:18.4356923Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T08:55:18.4386904Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:55:18.4427408Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T08:55:18.4456784Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T08:55:18.4487382Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T08:55:18.4518091Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:55:18.4561692Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:55:18.4594543Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T08:55:18.4849456Z Entering 'third_party/pocketfft'
2025-12-04T08:55:18.4880050Z Entering 'third_party/protobuf'
2025-12-04T08:55:18.4957379Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T08:55:18.4986906Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T08:55:18.5021867Z Entering 'third_party/psimd'
2025-12-04T08:55:18.5051088Z Entering 'third_party/pthreadpool'
2025-12-04T08:55:18.5083387Z Entering 'third_party/pybind11'
2025-12-04T08:55:18.5116753Z Entering 'third_party/python-peachpy'
2025-12-04T08:55:18.5147917Z Entering 'third_party/sleef'
2025-12-04T08:55:18.5181296Z Entering 'third_party/tensorpipe'
2025-12-04T08:55:18.5214384Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:55:18.5245065Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:55:18.5275927Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:55:18.5309393Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:55:18.5338240Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:55:18.5492932Z Prepare all required actions
2025-12-04T08:55:18.5493471Z Getting action download info
2025-12-04T08:55:18.7212860Z ##[group]Run ./.github/actions/setup-linux
2025-12-04T08:55:18.7213171Z env:
2025-12-04T08:55:18.7213391Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:55:18.7213653Z ##[endgroup]
2025-12-04T08:55:18.7252077Z ##[group]Run set -euo pipefail
2025-12-04T08:55:18.7252428Z set -euo pipefail
2025-12-04T08:55:18.7252713Z function get_ec2_metadata() {
2025-12-04T08:55:18.7253241Z   # Pulled from instance metadata endpoint for EC2
2025-12-04T08:55:18.7253886Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-12-04T08:55:18.7254457Z   category=$1
2025-12-04T08:55:18.7254810Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-12-04T08:55:18.7255252Z   runner_name_str=i-056227624174a728f
2025-12-04T08:55:18.7255644Z   if [[ -f /.inarc ]]; then
2025-12-04T08:55:18.7255982Z     echo "ARC Runner, no info on ec2 metadata"
2025-12-04T08:55:18.7256377Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-12-04T08:55:18.7256859Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-12-04T08:55:18.7257280Z   else
2025-12-04T08:55:18.7258150Z     curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2025-12-04T08:55:18.7259080Z   fi
2025-12-04T08:55:18.7259299Z }
2025-12-04T08:55:18.7259655Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-12-04T08:55:18.7260089Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-12-04T08:55:18.7260574Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-12-04T08:55:18.7261002Z echo "system info $(uname -a)"
2025-12-04T08:55:18.7267888Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:55:18.7268269Z env:
2025-12-04T08:55:18.7268483Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:55:18.7268730Z ##[endgroup]
2025-12-04T08:55:18.7435999Z ami-id: ami-08982f1c5bf93d976
2025-12-04T08:55:18.7545601Z instance-id: i-056227624174a728f
2025-12-04T08:55:18.7654260Z instance-type: c5.2xlarge
2025-12-04T08:55:18.7664494Z system info Linux ip-10-0-52-184.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep  9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-12-04T08:55:18.7683755Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-12-04T08:55:18.7684235Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-12-04T08:55:18.7690104Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:55:18.7690501Z env:
2025-12-04T08:55:18.7690716Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:55:18.7690983Z ##[endgroup]
2025-12-04T08:55:18.7741902Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:55:18.7742865Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:55:18.7749150Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:55:18.7749531Z env:
2025-12-04T08:55:18.7749750Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:55:18.7750008Z ##[endgroup]
2025-12-04T08:55:18.7799570Z ##[group]Run if systemctl is-active --quiet docker; then
2025-12-04T08:55:18.7800017Z if systemctl is-active --quiet docker; then
2025-12-04T08:55:18.7800413Z     echo "Docker daemon is running...";
2025-12-04T08:55:18.7800751Z else
2025-12-04T08:55:18.7801100Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-12-04T08:55:18.7801541Z fi
2025-12-04T08:55:18.7807208Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:55:18.7807598Z env:
2025-12-04T08:55:18.7807807Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:55:18.7808074Z ##[endgroup]
2025-12-04T08:55:18.7885394Z Docker daemon is running...
2025-12-04T08:55:18.7935514Z ##[group]Run nick-fields/retry@v3.0.0
2025-12-04T08:55:18.7935827Z with:
2025-12-04T08:55:18.7936036Z   shell: bash
2025-12-04T08:55:18.7936247Z   timeout_minutes: 5
2025-12-04T08:55:18.7936493Z   max_attempts: 3
2025-12-04T08:55:18.7936735Z   retry_wait_seconds: 30
2025-12-04T08:55:18.7939210Z   command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
    --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"

# For LF Runners we need to make sure we also login to Meta's ECR docker registry too.
META_AWS_ACCOUNT_ID=308535385114
if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then
    aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
        --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
fi

2025-12-04T08:55:18.7941644Z   polling_interval_seconds: 1
2025-12-04T08:55:18.7941928Z   warning_on_retry: true
2025-12-04T08:55:18.7942182Z   continue_on_error: false
2025-12-04T08:55:18.7942440Z env:
2025-12-04T08:55:18.7942649Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:55:18.7942903Z   AWS_RETRY_MODE: standard
2025-12-04T08:55:18.7943162Z   AWS_MAX_ATTEMPTS: 5
2025-12-04T08:55:18.7943426Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T08:55:18.7943688Z ##[endgroup]
2025-12-04T08:55:19.9281209Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T08:55:19.9281844Z Configure a credential helper to remove this warning. See
2025-12-04T08:55:19.9282427Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T08:55:19.9282887Z 
2025-12-04T08:55:19.9282983Z Login Succeeded
2025-12-04T08:55:20.8820845Z Command completed after 1 attempt(s).
2025-12-04T08:55:20.8873780Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:55:20.8874339Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:55:20.8874806Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:55:20.8881650Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:55:20.8882027Z env:
2025-12-04T08:55:20.8882253Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:55:20.8882542Z ##[endgroup]
2025-12-04T08:55:20.8967138Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T08:55:20.8967704Z # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T08:55:20.8968148Z # shellcheck disable=SC2046
2025-12-04T08:55:20.8968495Z docker stop $(docker ps -q) || true
2025-12-04T08:55:20.8968856Z # Prune all of the docker images
2025-12-04T08:55:20.8969196Z docker system prune -af
2025-12-04T08:55:20.8974998Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:55:20.8975605Z env:
2025-12-04T08:55:20.8975823Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:55:20.8976099Z ##[endgroup]
2025-12-04T08:55:20.9384322Z "docker stop" requires at least 1 argument.
2025-12-04T08:55:20.9384738Z See 'docker stop --help'.
2025-12-04T08:55:20.9384915Z 
2025-12-04T08:55:20.9385090Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-12-04T08:55:20.9385368Z 
2025-12-04T08:55:20.9385509Z Stop one or more running containers
2025-12-04T08:55:20.9561594Z Total reclaimed space: 0B
2025-12-04T08:55:20.9741253Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-12-04T08:55:20.9741735Z with:
2025-12-04T08:55:20.9742461Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:55:20.9743311Z   use-custom-docker-registry: true
2025-12-04T08:55:20.9743631Z   docker-build-dir: .ci/docker
2025-12-04T08:55:20.9743929Z   docker-build-script: ./build.sh
2025-12-04T08:55:20.9744214Z   working-directory: .
2025-12-04T08:55:20.9744561Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:55:20.9744963Z   force-push: false
2025-12-04T08:55:20.9745179Z env:
2025-12-04T08:55:20.9745388Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:55:20.9745650Z ##[endgroup]
2025-12-04T08:55:20.9763931Z ##[group]Run set -ex
2025-12-04T08:55:20.9764386Z set -ex
2025-12-04T08:55:20.9764614Z 
2025-12-04T08:55:20.9765052Z # If the docker build directory or the build script doesn't exist, the action will
2025-12-04T08:55:20.9765731Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-12-04T08:55:20.9766318Z # job could then download the pre-built image as usual
2025-12-04T08:55:20.9767017Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-12-04T08:55:20.9767659Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-12-04T08:55:20.9767994Z else
2025-12-04T08:55:20.9768252Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-12-04T08:55:20.9768705Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:55:20.9769107Z 
2025-12-04T08:55:20.9769667Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-12-04T08:55:20.9770323Z   exit 0
2025-12-04T08:55:20.9770536Z fi
2025-12-04T08:55:20.9770745Z 
2025-12-04T08:55:20.9771088Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-12-04T08:55:20.9771711Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-12-04T08:55:20.9772249Z   # use it as it is, but first let's extract the tag
2025-12-04T08:55:20.9772739Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-12-04T08:55:20.9773256Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:55:20.9773740Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:55:20.9774152Z else
2025-12-04T08:55:20.9774421Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-12-04T08:55:20.9774811Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-12-04T08:55:20.9775198Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-12-04T08:55:20.9775815Z   fi
2025-12-04T08:55:20.9776279Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-12-04T08:55:20.9776891Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:55:20.9777548Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:55:20.9778270Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:55:20.9778706Z fi
2025-12-04T08:55:20.9785041Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:55:20.9785425Z env:
2025-12-04T08:55:20.9785648Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:55:20.9785903Z   REPO_NAME: pytorch
2025-12-04T08:55:20.9786800Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:55:20.9787654Z   DOCKER_BUILD_DIR: .ci/docker
2025-12-04T08:55:20.9787946Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-12-04T08:55:20.9788318Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:55:20.9788724Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-12-04T08:55:20.9789018Z   CUSTOM_TAG_PREFIX: 
2025-12-04T08:55:20.9789244Z ##[endgroup]
2025-12-04T08:55:20.9814964Z + [[ -d .ci/docker ]]
2025-12-04T08:55:20.9815248Z + [[ -f .ci/docker/./build.sh ]]
2025-12-04T08:55:20.9815537Z + [[ true == \t\r\u\e ]]
2025-12-04T08:55:20.9815792Z + echo skip=false
2025-12-04T08:55:20.9816809Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]]
2025-12-04T08:55:20.9822365Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:55:20.9823169Z ++ awk -F '[:,]' '{print $2}'
2025-12-04T08:55:20.9844990Z + DOCKER_TAG=pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:55:20.9845775Z + echo docker-tag=pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:55:20.9846947Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:55:20.9869814Z ##[group]Run set +e
2025-12-04T08:55:20.9870121Z set +e
2025-12-04T08:55:20.9870359Z set -x
2025-12-04T08:55:20.9870573Z 
2025-12-04T08:55:20.9870796Z login() {
2025-12-04T08:55:20.9871280Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-12-04T08:55:20.9871821Z }
2025-12-04T08:55:20.9872027Z 
2025-12-04T08:55:20.9872245Z retry () {
2025-12-04T08:55:20.9872523Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-12-04T08:55:20.9872834Z }
2025-12-04T08:55:20.9873045Z 
2025-12-04T08:55:20.9873279Z retry login "${DOCKER_REGISTRY}"
2025-12-04T08:55:20.9873580Z 
2025-12-04T08:55:20.9873800Z START_TIME=$(date +%s)
2025-12-04T08:55:20.9874098Z # Wait up to 120 minutes
2025-12-04T08:55:20.9874449Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-12-04T08:55:20.9874947Z   # Check if image already exists, if it does then skip building it
2025-12-04T08:55:20.9875730Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-12-04T08:55:20.9876109Z     exit 0
2025-12-04T08:55:20.9876333Z   fi
2025-12-04T08:55:20.9876555Z 
2025-12-04T08:55:20.9876944Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-12-04T08:55:20.9877619Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-12-04T08:55:20.9878291Z   # latter, it will wait for the Docker images to become available before continuing
2025-12-04T08:55:20.9878820Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-12-04T08:55:20.9879222Z     # It's a Docker build job, let's build the image
2025-12-04T08:55:20.9879561Z     break
2025-12-04T08:55:20.9879796Z   else
2025-12-04T08:55:20.9880141Z     # It's a regular build job, wait for the image to become available
2025-12-04T08:55:20.9880645Z     sleep 300
2025-12-04T08:55:20.9880898Z   fi
2025-12-04T08:55:20.9881123Z done
2025-12-04T08:55:20.9881328Z 
2025-12-04T08:55:20.9881683Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-12-04T08:55:20.9882273Z # be empty.  The default action would be to continue rebuild the image
2025-12-04T08:55:20.9882930Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-12-04T08:55:20.9883381Z   # if we're on the base branch then use the parent commit
2025-12-04T08:55:20.9883792Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-12-04T08:55:20.9884113Z else
2025-12-04T08:55:20.9884446Z   # otherwise we're on a PR, so use the most recent base commit
2025-12-04T08:55:20.9884917Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-12-04T08:55:20.9885281Z fi
2025-12-04T08:55:20.9885493Z 
2025-12-04T08:55:20.9885716Z if [[ -z "${MERGE_BASE}" ]]; then
2025-12-04T08:55:20.9886078Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-12-04T08:55:20.9886414Z 
2025-12-04T08:55:20.9886875Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-12-04T08:55:20.9887525Z   exit 0
2025-12-04T08:55:20.9887749Z fi
2025-12-04T08:55:20.9887965Z 
2025-12-04T08:55:20.9888261Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-12-04T08:55:20.9888958Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-12-04T08:55:20.9889557Z   exit 1
2025-12-04T08:55:20.9889768Z fi
2025-12-04T08:55:20.9889976Z 
2025-12-04T08:55:20.9890338Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-12-04T08:55:20.9891063Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-12-04T08:55:20.9891931Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-12-04T08:55:20.9893137Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-12-04T08:55:20.9894262Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-12-04T08:55:20.9894733Z fi
2025-12-04T08:55:20.9894935Z 
2025-12-04T08:55:20.9895197Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-12-04T08:55:20.9900962Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:55:20.9901328Z env:
2025-12-04T08:55:20.9901546Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:55:20.9901824Z   DOCKER_BUILD_DIR: .ci/docker
2025-12-04T08:55:20.9902160Z   BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:55:20.9903024Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:55:20.9904029Z   DOCKER_TAG: pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:55:20.9904644Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:55:20.9905035Z   DOCKER_PUSH: 
2025-12-04T08:55:20.9905262Z ##[endgroup]
2025-12-04T08:55:20.9927637Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:55:20.9928089Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:55:20.9930420Z + aws ecr get-login-password --region us-east-1
2025-12-04T08:55:20.9931463Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:55:21.4951601Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T08:55:21.4952611Z Configure a credential helper to remove this warning. See
2025-12-04T08:55:21.4953498Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T08:55:21.4953929Z 
2025-12-04T08:55:21.4954036Z Login Succeeded
2025-12-04T08:55:21.4968346Z ++ date +%s
2025-12-04T08:55:21.4978063Z + START_TIME=1764838521
2025-12-04T08:55:21.4981686Z ++ date +%s
2025-12-04T08:55:21.4990229Z + [[ 1764831321 -lt 1764838521 ]]
2025-12-04T08:55:21.4991367Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:55:21.7788983Z {
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2025-12-04T08:55:21.7792656Z 	},
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2025-12-04T08:55:21.7800897Z 		},
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2025-12-04T08:55:21.7803877Z 		},
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2025-12-04T08:55:21.7807911Z 		},
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2025-12-04T08:55:21.7809719Z 		},
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2025-12-04T08:55:21.7811508Z 		},
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2025-12-04T08:55:21.7813312Z 		},
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2025-12-04T08:55:21.7815128Z 		},
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2025-12-04T08:55:21.7817125Z 		},
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2025-12-04T08:55:21.7818915Z 		},
2025-12-04T08:55:21.7819105Z 		{
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2025-12-04T08:55:21.7820827Z 		},
2025-12-04T08:55:21.7821017Z 		{
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2025-12-04T08:55:21.7822738Z 		},
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2025-12-04T08:55:21.7824646Z + exit 0
2025-12-04T08:55:21.7824831Z 		},
2025-12-04T08:55:21.7825022Z 		{
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2025-12-04T08:55:21.7826635Z 		},
2025-12-04T08:55:21.7826827Z 		{
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2025-12-04T08:55:21.7827551Z 			"size": 104,
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2025-12-04T08:55:21.7828412Z 		},
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2025-12-04T08:55:21.7830194Z 		},
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2025-12-04T08:55:21.7831985Z 		},
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2025-12-04T08:55:21.7833782Z 		},
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2025-12-04T08:55:21.7835544Z 		},
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2025-12-04T08:55:21.7837328Z 		},
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2025-12-04T08:55:21.7839192Z 		},
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2025-12-04T08:55:21.7840981Z 		},
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2025-12-04T08:55:21.7842784Z 		},
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2025-12-04T08:55:21.7844640Z 		},
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2025-12-04T08:55:21.7859633Z 		},
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2025-12-04T08:55:21.7872246Z 		},
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2025-12-04T08:55:21.7877974Z 		},
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2025-12-04T08:55:21.7879733Z 		},
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2025-12-04T08:55:21.7960692Z 			"digest": "sha256:fd0af076fa046b12bd78498b0e41b8560d7246959edfe2f70871b35583edcfe2"
2025-12-04T08:55:21.7961148Z 		},
2025-12-04T08:55:21.7961337Z 		{
2025-12-04T08:55:21.7961658Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:55:21.7962072Z 			"size": 32,
2025-12-04T08:55:21.7962461Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-12-04T08:55:21.7962934Z 		}
2025-12-04T08:55:21.7963123Z 	]
2025-12-04T08:55:21.7963301Z }
2025-12-04T08:55:21.7989174Z ##[group]Run set -eux
2025-12-04T08:55:21.7989455Z set -eux
2025-12-04T08:55:21.7989861Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-12-04T08:55:21.7991013Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true
2025-12-04T08:55:21.7997935Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:55:21.7998314Z env:
2025-12-04T08:55:21.7998518Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:55:21.7998775Z ##[endgroup]
2025-12-04T08:55:21.8026471Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-12-04T08:55:21.8028497Z + jq --raw-output .SecretString
2025-12-04T08:55:21.8029190Z + jq -r .docker_hub_readonly_token
2025-12-04T08:55:21.8029943Z + docker login --username pytorchbot --password-stdin
2025-12-04T08:55:22.3593702Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T08:55:22.3594369Z Configure a credential helper to remove this warning. See
2025-12-04T08:55:22.3595133Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T08:55:22.3595532Z 
2025-12-04T08:55:22.3595631Z Login Succeeded
2025-12-04T08:55:22.3687176Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-12-04T08:55:22.3687562Z tag=${ECR_DOCKER_IMAGE##*:}
2025-12-04T08:55:22.3687956Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-12-04T08:55:22.3693982Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:55:22.3694365Z env:
2025-12-04T08:55:22.3694589Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:55:22.3695351Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:55:22.3696159Z ##[endgroup]
2025-12-04T08:55:22.3722467Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:55:22.3766670Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-12-04T08:55:22.3767102Z with:
2025-12-04T08:55:22.3767819Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:55:22.3768732Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:55:22.3769119Z env:
2025-12-04T08:55:22.3769324Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:55:22.3769587Z ##[endgroup]
2025-12-04T08:55:22.3784451Z ##[group]Run set -x
2025-12-04T08:55:22.3784722Z set -x
2025-12-04T08:55:22.3784939Z set +e
2025-12-04T08:55:22.3785166Z 
2025-12-04T08:55:22.3785380Z login() {
2025-12-04T08:55:22.3785849Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-12-04T08:55:22.3786384Z }
2025-12-04T08:55:22.3786593Z 
2025-12-04T08:55:22.3786844Z retry () {
2025-12-04T08:55:22.3787111Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-12-04T08:55:22.3787430Z }
2025-12-04T08:55:22.3787641Z 
2025-12-04T08:55:22.3787879Z retry login "${DOCKER_REGISTRY}"
2025-12-04T08:55:22.3788191Z 
2025-12-04T08:55:22.3788683Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-12-04T08:55:22.3789352Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-12-04T08:55:22.3789719Z 
2025-12-04T08:55:22.3789926Z set -e
2025-12-04T08:55:22.3790267Z # ignore output since only exit code is used for conditional
2025-12-04T08:55:22.3790765Z # only pull docker image if it's not available locally
2025-12-04T08:55:22.3791306Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-12-04T08:55:22.3791824Z   retry docker pull "${DOCKER_IMAGE}"
2025-12-04T08:55:22.3792146Z fi
2025-12-04T08:55:22.3797506Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:55:22.3797886Z env:
2025-12-04T08:55:22.3798102Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:55:22.3798864Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:55:22.3799750Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:55:22.3800142Z ##[endgroup]
2025-12-04T08:55:22.3823087Z + set +e
2025-12-04T08:55:22.3823438Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:55:22.3823877Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:55:22.3826539Z + aws ecr get-login-password --region us-east-1
2025-12-04T08:55:22.3827831Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:55:22.9022765Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T08:55:22.9023839Z Configure a credential helper to remove this warning. See
2025-12-04T08:55:22.9024695Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T08:55:22.9025573Z 
2025-12-04T08:55:22.9025724Z Login Succeeded
2025-12-04T08:55:22.9043373Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:55:22.9044416Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-12-04T08:55:23.1209555Z + IMAGE_SIZE=8075.145185470581
2025-12-04T08:55:23.1209962Z + echo 'Compressed size of image in MB: 8075.145185470581'
2025-12-04T08:55:23.1210326Z + set -e
2025-12-04T08:55:23.1210588Z Compressed size of image in MB: 8075.145185470581
2025-12-04T08:55:23.1211808Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:55:23.1335269Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:55:23.1336612Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:55:23.3310115Z pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image
2025-12-04T08:55:23.3315411Z 63e5bc7682b8: Pulling fs layer
2025-12-04T08:55:23.3317291Z 2bdc264cdc4f: Pulling fs layer
2025-12-04T08:55:23.3317850Z 115cf171feab: Pulling fs layer
2025-12-04T08:55:23.3318292Z 5b05a7711524: Pulling fs layer
2025-12-04T08:55:23.3318719Z fcd42f64ca0d: Pulling fs layer
2025-12-04T08:55:23.3319117Z 425e64947d6c: Pulling fs layer
2025-12-04T08:55:23.3319572Z 100a3aae6100: Pulling fs layer
2025-12-04T08:55:23.3320007Z 612b903d2bcf: Pulling fs layer
2025-12-04T08:55:23.3320442Z 46ce886716ad: Pulling fs layer
2025-12-04T08:55:23.3320944Z 1c8bfbaf902d: Pulling fs layer
2025-12-04T08:55:23.3321428Z 9b31e0487376: Pulling fs layer
2025-12-04T08:55:23.3321939Z 6953b231bee7: Pulling fs layer
2025-12-04T08:55:23.3322482Z 3ab87ad78d73: Pulling fs layer
2025-12-04T08:55:23.3322974Z 8257a98b845d: Pulling fs layer
2025-12-04T08:55:23.3323492Z 4f4fb700ef54: Pulling fs layer
2025-12-04T08:55:23.3324050Z b62945c9f514: Pulling fs layer
2025-12-04T08:55:23.3324348Z 9937844df950: Pulling fs layer
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2025-12-04T08:55:23.3324920Z 9eb542f62aba: Pulling fs layer
2025-12-04T08:55:23.3325272Z f02e832d75f8: Pulling fs layer
2025-12-04T08:55:23.3325557Z 3903a9ad3d76: Pulling fs layer
2025-12-04T08:55:23.3325830Z 425e64947d6c: Waiting
2025-12-04T08:55:23.3326071Z a0292ad489a3: Pulling fs layer
2025-12-04T08:55:23.3326348Z 100a3aae6100: Waiting
2025-12-04T08:55:23.3326630Z 612b903d2bcf: Waiting
2025-12-04T08:55:23.3326877Z 12069b3fcf8c: Pulling fs layer
2025-12-04T08:55:23.3327452Z 2275dbef393d: Pulling fs layer
2025-12-04T08:55:23.3327771Z 9dbaa39228bc: Pulling fs layer
2025-12-04T08:55:23.3328044Z 9b31e0487376: Waiting
2025-12-04T08:55:23.3328271Z 6953b231bee7: Waiting
2025-12-04T08:55:23.3328520Z 5b05a7711524: Waiting
2025-12-04T08:55:23.3328766Z be92a230a00c: Pulling fs layer
2025-12-04T08:55:23.3329055Z 3ab87ad78d73: Waiting
2025-12-04T08:55:23.3329308Z 73deb6f0a6ab: Pulling fs layer
2025-12-04T08:55:23.3329579Z 8257a98b845d: Waiting
2025-12-04T08:55:23.3329816Z 72f01d0cf7ef: Pulling fs layer
2025-12-04T08:55:23.3330091Z 0f286b2a7194: Pulling fs layer
2025-12-04T08:55:23.3330358Z 4f4fb700ef54: Waiting
2025-12-04T08:55:23.3330631Z fcd42f64ca0d: Waiting
2025-12-04T08:55:23.3330855Z b62945c9f514: Waiting
2025-12-04T08:55:23.3331101Z 51b637823017: Pulling fs layer
2025-12-04T08:55:23.3331382Z 4a15d31ad80a: Pulling fs layer
2025-12-04T08:55:23.3331639Z 12069b3fcf8c: Waiting
2025-12-04T08:55:23.3331881Z 1c8bfbaf902d: Waiting
2025-12-04T08:55:23.3332134Z ab2d7d7e8213: Pulling fs layer
2025-12-04T08:55:23.3332398Z 2275dbef393d: Waiting
2025-12-04T08:55:23.3332637Z be92a230a00c: Waiting
2025-12-04T08:55:23.3332870Z 9937844df950: Waiting
2025-12-04T08:55:23.3333105Z a018f7b3679a: Pulling fs layer
2025-12-04T08:55:23.3333593Z 362e0dccf2f0: Pulling fs layer
2025-12-04T08:55:23.3333916Z 5953c2c159dd: Pulling fs layer
2025-12-04T08:55:23.3334177Z 9dbaa39228bc: Waiting
2025-12-04T08:55:23.3334454Z f02e832d75f8: Waiting
2025-12-04T08:55:23.3334705Z 21e8a9646ab6: Pulling fs layer
2025-12-04T08:55:23.3335090Z 3903a9ad3d76: Waiting
2025-12-04T08:55:23.3335326Z 8160cca6d225: Pulling fs layer
2025-12-04T08:55:23.3335730Z 9eb542f62aba: Waiting
2025-12-04T08:55:23.3335971Z a0292ad489a3: Waiting
2025-12-04T08:55:23.3336260Z 73deb6f0a6ab: Waiting
2025-12-04T08:55:23.3336511Z 1a1b1db5b49e: Pulling fs layer
2025-12-04T08:55:23.3336825Z ab2d7d7e8213: Waiting
2025-12-04T08:55:23.3337052Z 51b637823017: Waiting
2025-12-04T08:55:23.3337286Z a018f7b3679a: Waiting
2025-12-04T08:55:23.3337696Z 46ee854fbdd2: Pulling fs layer
2025-12-04T08:55:23.3337961Z 72f01d0cf7ef: Waiting
2025-12-04T08:55:23.3338215Z d2f223d0137c: Pulling fs layer
2025-12-04T08:55:23.3338490Z 46ce886716ad: Waiting
2025-12-04T08:55:23.3338715Z 5953c2c159dd: Waiting
2025-12-04T08:55:23.3338963Z 362e0dccf2f0: Waiting
2025-12-04T08:55:23.3339197Z 21e8a9646ab6: Waiting
2025-12-04T08:55:23.3339427Z 0320ff66ea89: Pulling fs layer
2025-12-04T08:55:23.3339800Z 4a15d31ad80a: Waiting
2025-12-04T08:55:23.3340042Z 46ee854fbdd2: Waiting
2025-12-04T08:55:23.3340275Z 56b9e2365b4c: Pulling fs layer
2025-12-04T08:55:23.3340551Z 8160cca6d225: Waiting
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2025-12-04T08:55:23.3341068Z 1a1b1db5b49e: Waiting
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2025-12-04T08:55:23.3341951Z 536d15c16b43: Pulling fs layer
2025-12-04T08:55:23.3342267Z d2f223d0137c: Waiting
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2025-12-04T08:55:23.3342788Z d2b76217fa98: Waiting
2025-12-04T08:55:23.3343008Z 8b1662227a6f: Waiting
2025-12-04T08:55:23.3343264Z ef7fd639bc4c: Pulling fs layer
2025-12-04T08:55:23.3343537Z 536d15c16b43: Waiting
2025-12-04T08:55:23.3343821Z 0320ff66ea89: Waiting
2025-12-04T08:55:23.3344054Z a57851e53817: Waiting
2025-12-04T08:55:23.3344322Z e3bd8da1ed60: Waiting
2025-12-04T08:55:23.3344559Z 3a9bb9325d80: Pulling fs layer
2025-12-04T08:55:23.3344833Z ef7fd639bc4c: Waiting
2025-12-04T08:55:23.3345153Z 56b9e2365b4c: Waiting
2025-12-04T08:55:23.3345479Z 0f286b2a7194: Waiting
2025-12-04T08:55:23.3345718Z 3a9bb9325d80: Waiting
2025-12-04T08:55:23.3345959Z fbe95c3f2a7b: Waiting
2025-12-04T08:55:23.3346243Z 491116c1a7fa: Pulling fs layer
2025-12-04T08:55:23.3346535Z 1d63bda3c92d: Pulling fs layer
2025-12-04T08:55:23.3346806Z 491116c1a7fa: Waiting
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2025-12-04T08:55:23.3347313Z 1d63bda3c92d: Waiting
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2025-12-04T08:55:23.3348681Z 2dfbb731242a: Waiting
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2025-12-04T08:55:23.3349160Z c5048b347294: Pulling fs layer
2025-12-04T08:55:23.3349433Z 41b115f8be47: Waiting
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2025-12-04T08:55:23.3349919Z 74aada1bfa72: Pulling fs layer
2025-12-04T08:55:23.3350307Z 6bc9ed03a494: Pulling fs layer
2025-12-04T08:55:23.3350575Z 6eeec0cffa97: Waiting
2025-12-04T08:55:23.3350874Z c5048b347294: Waiting
2025-12-04T08:55:23.3351545Z 730c07fd577c: Pulling fs layer
2025-12-04T08:55:23.3351976Z 74aada1bfa72: Waiting
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2025-12-04T08:55:23.3353254Z 6bc9ed03a494: Waiting
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2025-12-04T08:55:23.3354415Z 81988d624119: Pulling fs layer
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2025-12-04T08:55:23.3369315Z 81988d624119: Waiting
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2025-12-04T08:55:23.3369845Z 42ec79e4711c: Waiting
2025-12-04T08:55:23.3370244Z d5e99f982abd: Waiting
2025-12-04T08:55:23.3370503Z 92524d4de2c3: Pulling fs layer
2025-12-04T08:55:23.3370777Z 0ce87beece3b: Pulling fs layer
2025-12-04T08:55:23.3371056Z 92524d4de2c3: Waiting
2025-12-04T08:55:23.3371299Z 0ce87beece3b: Waiting
2025-12-04T08:55:23.3371538Z ea7a8d4389fa: Pulling fs layer
2025-12-04T08:55:23.3371829Z fd0af076fa04: Pulling fs layer
2025-12-04T08:55:23.3372106Z ea7a8d4389fa: Waiting
2025-12-04T08:55:23.3372339Z fd0af076fa04: Waiting
2025-12-04T08:55:23.4180075Z 2bdc264cdc4f: Download complete
2025-12-04T08:55:23.4824896Z 5b05a7711524: Verifying Checksum
2025-12-04T08:55:23.4825454Z 5b05a7711524: Download complete
2025-12-04T08:55:23.6905844Z 63e5bc7682b8: Verifying Checksum
2025-12-04T08:55:23.6906609Z 63e5bc7682b8: Download complete
2025-12-04T08:55:23.7924315Z 425e64947d6c: Verifying Checksum
2025-12-04T08:55:23.7924794Z 425e64947d6c: Download complete
2025-12-04T08:55:23.8568275Z 100a3aae6100: Verifying Checksum
2025-12-04T08:55:23.8568869Z 100a3aae6100: Download complete
2025-12-04T08:55:23.9716621Z 612b903d2bcf: Verifying Checksum
2025-12-04T08:55:23.9717235Z 612b903d2bcf: Download complete
2025-12-04T08:55:24.0624193Z 46ce886716ad: Download complete
2025-12-04T08:55:24.1424125Z 1c8bfbaf902d: Download complete
2025-12-04T08:55:24.2301076Z 9b31e0487376: Download complete
2025-12-04T08:55:24.3043061Z 6953b231bee7: Download complete
2025-12-04T08:55:24.3140921Z fcd42f64ca0d: Verifying Checksum
2025-12-04T08:55:24.3141394Z fcd42f64ca0d: Download complete
2025-12-04T08:55:24.3896945Z 3ab87ad78d73: Verifying Checksum
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2025-12-04T09:00:00.2399874Z Digest: sha256:daf8295b144729db421f110762706d7eed0643b6b9748bedf2e37a2fcdfc4b9c
2025-12-04T09:00:00.2648808Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:00.3041683Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:00.3126523Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:00:00.3127644Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:00:00.3135590Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:00.3135991Z env:
2025-12-04T09:00:00.3136229Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:00.3136495Z ##[endgroup]
2025-12-04T09:00:00.4102319Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2025-12-04T09:00:00.4102786Z with:
2025-12-04T09:00:00.4103011Z   driver-version: 580.82.07
2025-12-04T09:00:00.4103350Z env:
2025-12-04T09:00:00.4103628Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:00.4103891Z ##[endgroup]
2025-12-04T09:00:00.4144179Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:00:00.4145130Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:00:00.4151390Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:00.4151795Z env:
2025-12-04T09:00:00.4152032Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:00.4152301Z ##[endgroup]
2025-12-04T09:00:00.4232714Z ##[group]Run set -euo pipefail
2025-12-04T09:00:00.4233071Z set -euo pipefail
2025-12-04T09:00:00.4233436Z 
2025-12-04T09:00:00.4233650Z has_gpu=false
2025-12-04T09:00:00.4233918Z devices=""
2025-12-04T09:00:00.4234172Z 
2025-12-04T09:00:00.4234446Z if command -v nvidia-smi >/dev/null 2>&1; then
2025-12-04T09:00:00.4234938Z   if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T09:00:00.4235352Z     has_gpu=true
2025-12-04T09:00:00.4235665Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T09:00:00.4235987Z   fi
2025-12-04T09:00:00.4236219Z fi
2025-12-04T09:00:00.4236450Z 
2025-12-04T09:00:00.4236670Z if [ "$has_gpu" = false ]; then
2025-12-04T09:00:00.4237081Z   if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T09:00:00.4237487Z     has_gpu=true
2025-12-04T09:00:00.4237799Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T09:00:00.4238116Z   fi
2025-12-04T09:00:00.4238344Z fi
2025-12-04T09:00:00.4238570Z 
2025-12-04T09:00:00.4238881Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then
2025-12-04T09:00:00.4239420Z   if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T09:00:00.4239865Z     has_gpu=true
2025-12-04T09:00:00.4240161Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T09:00:00.4240501Z   fi
2025-12-04T09:00:00.4240737Z fi
2025-12-04T09:00:00.4240941Z 
2025-12-04T09:00:00.4241260Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT"
2025-12-04T09:00:00.4241821Z printf 'DETECTED_DEVICES<<EOF\n%s\nEOF\n' "$devices" >> "$GITHUB_OUTPUT"
2025-12-04T09:00:00.4247919Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:00.4248300Z env:
2025-12-04T09:00:00.4248532Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:00.4248809Z ##[endgroup]
2025-12-04T09:00:00.5264957Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then
2025-12-04T09:00:00.5265402Z if [ "${HAS_NVIDIA}" = "true" ]; then
2025-12-04T09:00:00.5265802Z   echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}"
2025-12-04T09:00:00.5266331Z   echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}"
2025-12-04T09:00:00.5266964Z else
2025-12-04T09:00:00.5267320Z   echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}"
2025-12-04T09:00:00.5267710Z fi
2025-12-04T09:00:00.5274364Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:00.5274771Z env:
2025-12-04T09:00:00.5275003Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:00.5275267Z   HAS_NVIDIA: false
2025-12-04T09:00:00.5275766Z ##[endgroup]
2025-12-04T09:00:00.5426275Z Prepare all required actions
2025-12-04T09:00:00.5504023Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-12-04T09:00:00.5504400Z with:
2025-12-04T09:00:00.5505089Z   github-token: ***
2025-12-04T09:00:00.5505322Z env:
2025-12-04T09:00:00.5505551Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:00.5505841Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:00.5506093Z ##[endgroup]
2025-12-04T09:00:00.5588206Z ##[group]Run set -eux
2025-12-04T09:00:00.5588511Z set -eux
2025-12-04T09:00:00.5589003Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-12-04T09:00:00.5595377Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:00.5595796Z env:
2025-12-04T09:00:00.5596116Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:00.5596393Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:00.5596866Z   GITHUB_TOKEN: ***
2025-12-04T09:00:00.5597122Z ##[endgroup]
2025-12-04T09:00:00.5623839Z + python3 .github/scripts/get_workflow_job_id.py 19922773007 i-056227624174a728f
2025-12-04T09:00:01.7855472Z Setting output job-id=57116038959
2025-12-04T09:00:01.7856128Z Setting output job-name=linux-jammy-py3.10-clang12 / test (slow, 1, 2, linux.2xlarge, rerun_disabled_tests)
2025-12-04T09:00:01.7977619Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-12-04T09:00:01.7978390Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-12-04T09:00:01.7979390Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-12-04T09:00:01.7980371Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:00:01.7987082Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:01.7987460Z env:
2025-12-04T09:00:01.7987685Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:01.7987961Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:01.7988202Z   JOB_ID: 57116038959
2025-12-04T09:00:01.7988655Z   JOB_NAME: linux-jammy-py3.10-clang12 / test (slow, 1, 2, linux.2xlarge, rerun_disabled_tests)
2025-12-04T09:00:01.7989176Z   WORKFLOW_NAME: slow
2025-12-04T09:00:01.7989493Z   WORKFLOW_RUN_ID: 19922773007
2025-12-04T09:00:01.7989778Z   MONITOR_LOG_INTERVAL: 5
2025-12-04T09:00:01.7990044Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-12-04T09:00:01.7990342Z ##[endgroup]
2025-12-04T09:00:03.9007864Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T09:00:04.4520768Z Collecting psutil==5.9.8
2025-12-04T09:00:04.4670818Z   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)
2025-12-04T09:00:04.6560300Z Collecting dataclasses_json==0.6.7
2025-12-04T09:00:04.6592931Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-12-04T09:00:04.7454346Z Collecting nvidia-ml-py==11.525.84
2025-12-04T09:00:04.7486093Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-12-04T09:00:04.9651778Z Collecting marshmallow<4.0.0,>=3.18.0
2025-12-04T09:00:04.9685241Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-12-04T09:00:05.1033448Z Collecting typing-inspect<1,>=0.4.0
2025-12-04T09:00:05.1065512Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-12-04T09:00:05.2536273Z Collecting packaging>=17.0
2025-12-04T09:00:05.2569832Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-12-04T09:00:05.3669180Z Collecting mypy-extensions>=0.3.0
2025-12-04T09:00:05.3701663Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-12-04T09:00:05.5121865Z Collecting typing-extensions>=3.7.4
2025-12-04T09:00:05.5153540Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-12-04T09:00:05.7842821Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-12-04T09:00:06.6234828Z 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
2025-12-04T09:00:06.9231804Z Prepare all required actions
2025-12-04T09:00:06.9232225Z Getting action download info
2025-12-04T09:00:07.1139259Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-12-04T09:00:07.8655066Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-12-04T09:00:10.1969967Z ##[group]Run ./.github/actions/download-build-artifacts
2025-12-04T09:00:10.1970345Z with:
2025-12-04T09:00:10.1970593Z   name: linux-jammy-py3.10-clang12
2025-12-04T09:00:10.1970890Z   s3-bucket: gha-artifacts
2025-12-04T09:00:10.1971152Z env:
2025-12-04T09:00:10.1971368Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:10.1971643Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:10.1971878Z ##[endgroup]
2025-12-04T09:00:10.2035205Z ##[group]Run seemethere/download-artifact-s3@v4
2025-12-04T09:00:10.2035557Z with:
2025-12-04T09:00:10.2035798Z   name: linux-jammy-py3.10-clang12
2025-12-04T09:00:10.2036155Z   s3-bucket: gha-artifacts
2025-12-04T09:00:10.2036415Z   region: us-east-1
2025-12-04T09:00:10.2036642Z env:
2025-12-04T09:00:10.2036856Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:10.2037112Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:10.2037355Z ##[endgroup]
2025-12-04T09:00:10.9321403Z (node:43007) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-12-04T09:00:10.9322386Z 
2025-12-04T09:00:10.9322742Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-12-04T09:00:10.9323702Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-12-04T09:00:10.9324713Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-12-04T09:00:12.1745753Z Found 1 objects with prefix pytorch/pytorch/19922773007/linux-jammy-py3.10-clang12/
2025-12-04T09:00:12.1746503Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-12-04T09:00:21.1765015Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-12-04T09:00:21.1771159Z Artifact download has finished successfully
2025-12-04T09:00:21.2271216Z ##[group]Run unzip -o artifacts.zip
2025-12-04T09:00:21.2271573Z unzip -o artifacts.zip
2025-12-04T09:00:21.2277797Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:21.2278224Z env:
2025-12-04T09:00:21.2278464Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:21.2278744Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:21.2279000Z ##[endgroup]
2025-12-04T09:00:21.2626223Z Archive:  artifacts.zip
2025-12-04T09:00:21.2627090Z    creating: dist/
2025-12-04T09:00:21.2745247Z   inflating: dist/.ninja_log         
2025-12-04T09:00:22.4488936Z   inflating: dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl  
2025-12-04T09:00:22.4489451Z    creating: build/
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2025-12-04T09:00:27.7574753Z   inflating: build/bin/kernel_function_legacy_test  
2025-12-04T09:00:27.7658001Z   inflating: build/bin/kernel_function_test  
2025-12-04T09:00:27.7767396Z   inflating: build/bin/kernel_lambda_legacy_test  
2025-12-04T09:00:27.7856008Z   inflating: build/bin/kernel_lambda_test  
2025-12-04T09:00:27.7909530Z   inflating: build/bin/kernel_stackbased_test  
2025-12-04T09:00:27.7993845Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2025-12-04T09:00:27.8038633Z   inflating: build/bin/CppSignature_test  
2025-12-04T09:00:27.8087135Z   inflating: build/bin/backend_fallback_test  
2025-12-04T09:00:27.8131107Z   inflating: build/bin/op_allowlist_test  
2025-12-04T09:00:27.8386291Z   inflating: build/bin/op_registration_test  
2025-12-04T09:00:27.8443055Z   inflating: build/bin/inline_container_test  
2025-12-04T09:00:27.8714163Z   inflating: build/bin/test_lazy     
2025-12-04T09:00:27.8773861Z   inflating: build/bin/ProcessGroupGlooTest  
2025-12-04T09:00:27.8776980Z   inflating: build/bin/example_allreduce  
2025-12-04T09:00:27.8825679Z   inflating: build/bin/test_dist_autograd  
2025-12-04T09:00:27.9748667Z   inflating: build/bin/test_jit      
2025-12-04T09:00:27.9808717Z   inflating: build/bin/test_cpp_rpc  
2025-12-04T09:00:28.1016932Z   inflating: build/bin/test_api      
2025-12-04T09:00:28.1018986Z   inflating: build/bin/parallel_benchmark  
2025-12-04T09:00:28.1023041Z   inflating: build/bin/torch_shm_manager  
2025-12-04T09:00:28.1023671Z    creating: .additional_ci_files/
2025-12-04T09:00:28.1081177Z   inflating: .additional_ci_files/test-times.json  
2025-12-04T09:00:28.1291083Z   inflating: .additional_ci_files/test-class-times.json  
2025-12-04T09:00:28.1318368Z ##[group]Run rm artifacts.zip
2025-12-04T09:00:28.1318694Z rm artifacts.zip
2025-12-04T09:00:28.1324813Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:28.1325199Z env:
2025-12-04T09:00:28.1325406Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:28.1325678Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:28.1325927Z ##[endgroup]
2025-12-04T09:00:28.1615970Z ##[group]Run df -H
2025-12-04T09:00:28.1616250Z df -H
2025-12-04T09:00:28.1622281Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:28.1622679Z env:
2025-12-04T09:00:28.1622893Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:28.1623166Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:28.1623416Z ##[endgroup]
2025-12-04T09:00:28.1681777Z Filesystem        Size  Used Avail Use% Mounted on
2025-12-04T09:00:28.1682180Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-12-04T09:00:28.1682525Z tmpfs             8.2G     0  8.2G   0% /dev/shm
2025-12-04T09:00:28.1682863Z tmpfs             3.3G  488k  3.3G   1% /run
2025-12-04T09:00:28.1683203Z /dev/nvme0n1p1    161G   38G  124G  24% /
2025-12-04T09:00:28.1683517Z tmpfs             8.2G   13k  8.2G   1% /tmp
2025-12-04T09:00:28.1684020Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-12-04T09:00:28.1722643Z Prepare all required actions
2025-12-04T09:00:28.1723473Z Getting action download info
2025-12-04T09:00:28.3361845Z ##[group]Run ./.github/actions/download-td-artifacts
2025-12-04T09:00:28.3362712Z with:
2025-12-04T09:00:28.3363053Z env:
2025-12-04T09:00:28.3363401Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:28.3363869Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:28.3364310Z ##[endgroup]
2025-12-04T09:00:28.3411438Z ##[group]Run seemethere/download-artifact-s3@v4
2025-12-04T09:00:28.3412062Z with:
2025-12-04T09:00:28.3412411Z   name: td_results
2025-12-04T09:00:28.3412822Z   s3-bucket: gha-artifacts
2025-12-04T09:00:28.3413302Z   region: us-east-1
2025-12-04T09:00:28.3413680Z env:
2025-12-04T09:00:28.3414040Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:28.3414522Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:28.3414965Z ##[endgroup]
2025-12-04T09:00:28.8506049Z (node:43032) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-12-04T09:00:28.8506770Z 
2025-12-04T09:00:28.8506972Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-12-04T09:00:28.8507552Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-12-04T09:00:28.8508139Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-12-04T09:00:28.9613885Z Found 1 objects with prefix pytorch/pytorch/19922773007/td_results/
2025-12-04T09:00:28.9614563Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-12-04T09:00:29.0669751Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-12-04T09:00:29.0675080Z Artifact download has finished successfully
2025-12-04T09:00:29.0823397Z ##[group]Run mkdir -p .additional_ci_files
2025-12-04T09:00:29.0823777Z mkdir -p .additional_ci_files
2025-12-04T09:00:29.0824239Z mv td_results.json .additional_ci_files/td_results.json || true
2025-12-04T09:00:29.0831033Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:29.0831422Z env:
2025-12-04T09:00:29.0831659Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:29.0831949Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:29.0832210Z ##[endgroup]
2025-12-04T09:00:29.0948061Z ##[group]Run .github/scripts/parse_ref.py
2025-12-04T09:00:29.0948451Z .github/scripts/parse_ref.py
2025-12-04T09:00:29.0953992Z shell: /usr/bin/bash -e {0}
2025-12-04T09:00:29.0954270Z env:
2025-12-04T09:00:29.0954493Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:29.0954762Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:29.0954996Z ##[endgroup]
2025-12-04T09:00:29.1191728Z Setting output branch=main
2025-12-04T09:00:29.1323471Z Prepare all required actions
2025-12-04T09:00:29.1323862Z Getting action download info
2025-12-04T09:00:29.2707483Z ##[group]Run ./.github/actions/filter-test-configs
2025-12-04T09:00:29.2707831Z with:
2025-12-04T09:00:29.2708240Z   github-token: ***
2025-12-04T09:00:29.2709212Z   test-matrix: {"include": [{"config": "slow", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}
2025-12-04T09:00:29.2710479Z   job-name: linux-jammy-py3.10-clang12 / test (slow, 1, 2, linux.2xlarge, rerun_disabled_tests)
2025-12-04T09:00:29.2710987Z env:
2025-12-04T09:00:29.2711190Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:29.2711468Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:29.2711716Z ##[endgroup]
2025-12-04T09:00:29.2773557Z ##[group]Run nick-fields/retry@v3.0.0
2025-12-04T09:00:29.2773855Z with:
2025-12-04T09:00:29.2774120Z   shell: bash
2025-12-04T09:00:29.2774332Z   timeout_minutes: 10
2025-12-04T09:00:29.2774575Z   max_attempts: 5
2025-12-04T09:00:29.2774816Z   retry_wait_seconds: 30
2025-12-04T09:00:29.2775839Z   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

2025-12-04T09:00:29.2776676Z   polling_interval_seconds: 1
2025-12-04T09:00:29.2776963Z   warning_on_retry: true
2025-12-04T09:00:29.2777375Z   continue_on_error: false
2025-12-04T09:00:29.2777621Z env:
2025-12-04T09:00:29.2777839Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:29.2778107Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:29.2778531Z   GITHUB_TOKEN: ***
2025-12-04T09:00:29.2778750Z ##[endgroup]
2025-12-04T09:00:29.3821723Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-12-04T09:00:29.6190472Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T09:00:29.7285067Z Collecting requests==2.27.1
2025-12-04T09:00:29.7434557Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-12-04T09:00:29.9200861Z Collecting pyyaml==6.0.2
2025-12-04T09:00:29.9304309Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-12-04T09:00:29.9550979Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-12-04T09:00:30.3355789Z Collecting charset-normalizer~=2.0.0
2025-12-04T09:00:30.3390668Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-12-04T09:00:30.3446107Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-12-04T09:00:30.3914748Z Collecting certifi>=2017.4.17
2025-12-04T09:00:30.3954535Z   Downloading certifi-2025.11.12-py3-none-any.whl (159 kB)
2025-12-04T09:00:30.4841737Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-12-04T09:00:30.6040784Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-12-04T09:00:31.3578942Z Command completed after 1 attempt(s).
2025-12-04T09:00:31.3623787Z ##[group]Run set -x
2025-12-04T09:00:31.3624043Z set -x
2025-12-04T09:00:31.3624270Z 
2025-12-04T09:00:31.3624663Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-12-04T09:00:31.3625147Z # in runner workspace
2025-12-04T09:00:31.3625538Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-12-04T09:00:31.3631660Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:31.3632042Z env:
2025-12-04T09:00:31.3632248Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:31.3632517Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:31.3632766Z ##[endgroup]
2025-12-04T09:00:31.3657020Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-12-04T09:00:31.3838376Z Setting output branch=main
2025-12-04T09:00:31.3887318Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-12-04T09:00:31.3887720Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-12-04T09:00:31.3888063Z echo "Job name: ${JOB_NAME}"
2025-12-04T09:00:31.3888426Z 
2025-12-04T09:00:31.3888849Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-12-04T09:00:31.3889340Z # in runner workspace
2025-12-04T09:00:31.3889773Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-12-04T09:00:31.3890283Z   --workflow "${GITHUB_WORKFLOW}" \
2025-12-04T09:00:31.3890612Z   --job-name "${JOB_NAME}" \
2025-12-04T09:00:31.3891699Z   --test-matrix "{"include": [{"config": "slow", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}" \
2025-12-04T09:00:31.3892810Z   --selected-test-configs "" \
2025-12-04T09:00:31.3893158Z   --pr-number "${PR_NUMBER}" \
2025-12-04T09:00:31.3893467Z   --tag "${TAG}" \
2025-12-04T09:00:31.3893764Z   --event-name "${EVENT_NAME}" \
2025-12-04T09:00:31.3894095Z   --schedule "${SCHEDULE}" \
2025-12-04T09:00:31.3894399Z   --branch "${HEAD_BRANCH}"
2025-12-04T09:00:31.3900378Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:31.3900897Z env:
2025-12-04T09:00:31.3901117Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:31.3901374Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:31.3901847Z   GITHUB_TOKEN: ***
2025-12-04T09:00:31.3902302Z   JOB_NAME: linux-jammy-py3.10-clang12 / test (slow, 1, 2, linux.2xlarge, rerun_disabled_tests)
2025-12-04T09:00:31.3902808Z   PR_NUMBER: 
2025-12-04T09:00:31.3903035Z   TAG: 
2025-12-04T09:00:31.3903246Z   EVENT_NAME: schedule
2025-12-04T09:00:31.3903501Z   SCHEDULE: 29 8 * * *
2025-12-04T09:00:31.3903760Z   HEAD_BRANCH: main
2025-12-04T09:00:31.3903982Z ##[endgroup]
2025-12-04T09:00:31.3926949Z Workflow: slow
2025-12-04T09:00:31.3927404Z Job name: linux-jammy-py3.10-clang12 / test (slow, 1, 2, linux.2xlarge, rerun_disabled_tests)
2025-12-04T09:00:31.6247125Z Setting output keep-going=True
2025-12-04T09:00:31.6247879Z Setting output ci-verbose-test-logs=False
2025-12-04T09:00:31.6248620Z Setting output ci-test-showlocals=False
2025-12-04T09:00:31.6249346Z Setting output ci-no-test-timeout=False
2025-12-04T09:00:31.6250088Z Setting output ci-no-td=False
2025-12-04T09:00:31.6250731Z Setting output ci-td-distributed=False
2025-12-04T09:00:31.6251405Z Setting output is-unstable=False
2025-12-04T09:00:31.6252048Z Setting output reenabled-issues=
2025-12-04T09:00:31.6254455Z Setting output test-matrix={"include": [{"config": "slow", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}
2025-12-04T09:00:31.6256957Z Setting output is-test-matrix-empty=False
2025-12-04T09:00:31.6386771Z ##[group]Run echo "Filtered matrix:"
2025-12-04T09:00:31.6387120Z echo "Filtered matrix:"
2025-12-04T09:00:31.6388162Z echo "{"include": [{"config": "slow", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "slow", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}"
2025-12-04T09:00:31.6389192Z 
2025-12-04T09:00:31.6389399Z echo
2025-12-04T09:00:31.6389674Z echo "Is the current job unstable? False"
2025-12-04T09:00:31.6390015Z 
2025-12-04T09:00:31.6390207Z echo
2025-12-04T09:00:31.6390464Z echo "Is keep-going label set? True"
2025-12-04T09:00:31.6390789Z 
2025-12-04T09:00:31.6390983Z echo
2025-12-04T09:00:31.6391376Z echo "Reenabled issues? "
2025-12-04T09:00:31.6397473Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:31.6397849Z env:
2025-12-04T09:00:31.6398070Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:31.6398342Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:31.6398582Z ##[endgroup]
2025-12-04T09:00:31.6423043Z Filtered matrix:
2025-12-04T09:00:31.6424762Z {include: [{config: slow, shard: 1, num_shards: 2, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: slow, shard: 2, num_shards: 2, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}]}
2025-12-04T09:00:31.6425888Z 
2025-12-04T09:00:31.6426007Z Is the current job unstable? False
2025-12-04T09:00:31.6426230Z 
2025-12-04T09:00:31.6426337Z Is keep-going label set? True
2025-12-04T09:00:31.6426542Z 
2025-12-04T09:00:31.6426635Z Reenabled issues? 
2025-12-04T09:00:31.6457844Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-12-04T09:00:31.6458379Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-12-04T09:00:31.6464062Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:31.6464430Z env:
2025-12-04T09:00:31.6464644Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:31.6464915Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:31.6465153Z   JOB_TIMEOUT: 240
2025-12-04T09:00:31.6465383Z ##[endgroup]
2025-12-04T09:00:31.6511283Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:00:31.6511819Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:00:31.6512425Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:00:31.6517820Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:00:31.6518201Z env:
2025-12-04T09:00:31.6518418Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:31.6518687Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:31.6518922Z ##[endgroup]
2025-12-04T09:00:31.6609995Z ##[group]Run set -x
2025-12-04T09:00:31.6610339Z set -x
2025-12-04T09:00:31.6610553Z 
2025-12-04T09:00:31.6610813Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-12-04T09:00:31.6611223Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-12-04T09:00:31.6611627Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-12-04T09:00:31.6611991Z   TEST_COMMAND=.ci/onnx/test.sh
2025-12-04T09:00:31.6612306Z else
2025-12-04T09:00:31.6612568Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-12-04T09:00:31.6612883Z fi
2025-12-04T09:00:31.6613097Z 
2025-12-04T09:00:31.6613370Z # Leaving 1GB for the runner and other things
2025-12-04T09:00:31.6613968Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-12-04T09:00:31.6614858Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-12-04T09:00:31.6615577Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-12-04T09:00:31.6616111Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-12-04T09:00:31.6616541Z 
2025-12-04T09:00:31.6616811Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-12-04T09:00:31.6617159Z   SHM_OPTS=
2025-12-04T09:00:31.6617412Z   JENKINS_USER=
2025-12-04T09:00:31.6617773Z   # ensure that docker container cleanly exits in 12 hours
2025-12-04T09:00:31.6618249Z   # if for some reason cleanup action doesn't stop container
2025-12-04T09:00:31.6618664Z   # when job is cancelled
2025-12-04T09:00:31.6618980Z   DOCKER_SHELL_CMD="sleep 12h"
2025-12-04T09:00:31.6619327Z   USED_IMAGE="${DOCKER_IMAGE_S390X}"
2025-12-04T09:00:31.6619759Z else
2025-12-04T09:00:31.6620017Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-12-04T09:00:31.6620374Z   JENKINS_USER="--user jenkins"
2025-12-04T09:00:31.6620688Z   DOCKER_SHELL_CMD=
2025-12-04T09:00:31.6620990Z   USED_IMAGE="${DOCKER_IMAGE}"
2025-12-04T09:00:31.6621306Z fi
2025-12-04T09:00:31.6621507Z 
2025-12-04T09:00:31.6621851Z # detached container should get cleaned up by teardown_ec2_linux
2025-12-04T09:00:31.6622400Z # TODO: Stop building test binaries as part of the build phase
2025-12-04T09:00:31.6623022Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-12-04T09:00:31.6623564Z # shellcheck disable=SC2086,SC2090
2025-12-04T09:00:31.6623906Z container_name=$(docker run \
2025-12-04T09:00:31.6624223Z   ${GPU_FLAG:-} \
2025-12-04T09:00:31.6624523Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-12-04T09:00:31.6624878Z   -e BUILD_ENVIRONMENT \
2025-12-04T09:00:31.6625182Z   -e PR_NUMBER \
2025-12-04T09:00:31.6625468Z   -e GITHUB_ACTIONS \
2025-12-04T09:00:31.6625751Z   -e GITHUB_REPOSITORY \
2025-12-04T09:00:31.6626058Z   -e GITHUB_WORKFLOW \
2025-12-04T09:00:31.6626357Z   -e GITHUB_JOB \
2025-12-04T09:00:31.6626617Z   -e GITHUB_RUN_ID \
2025-12-04T09:00:31.6626905Z   -e GITHUB_RUN_NUMBER \
2025-12-04T09:00:31.6627215Z   -e GITHUB_RUN_ATTEMPT \
2025-12-04T09:00:31.6627501Z   -e JOB_ID \
2025-12-04T09:00:31.6627757Z   -e JOB_NAME \
2025-12-04T09:00:31.6628025Z   -e BASE_SHA \
2025-12-04T09:00:31.6628435Z   -e BRANCH \
2025-12-04T09:00:31.6628674Z   -e SHA1 \
2025-12-04T09:00:31.6628936Z   -e AWS_DEFAULT_REGION \
2025-12-04T09:00:31.6629239Z   -e IN_WHEEL_TEST \
2025-12-04T09:00:31.6629509Z   -e SHARD_NUMBER \
2025-12-04T09:00:31.6629797Z   -e TEST_CONFIG \
2025-12-04T09:00:31.6630078Z   -e NUM_TEST_SHARDS \
2025-12-04T09:00:31.6630457Z   -e REENABLED_ISSUES \
2025-12-04T09:00:31.6630772Z   -e CONTINUE_THROUGH_ERROR \
2025-12-04T09:00:31.6631095Z   -e VERBOSE_TEST_LOGS \
2025-12-04T09:00:31.6631382Z   -e TEST_SHOWLOCALS \
2025-12-04T09:00:31.6631682Z   -e NO_TEST_TIMEOUT \
2025-12-04T09:00:31.6631968Z   -e NO_TD \
2025-12-04T09:00:31.6632232Z   -e TD_DISTRIBUTED \
2025-12-04T09:00:31.6632508Z   -e PR_LABELS \
2025-12-04T09:00:31.6632814Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-12-04T09:00:31.6633154Z   -e SCCACHE_BUCKET \
2025-12-04T09:00:31.6633439Z   -e SCCACHE_REGION \
2025-12-04T09:00:31.6633718Z   -e XLA_CUDA \
2025-12-04T09:00:31.6634010Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-12-04T09:00:31.6634370Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-12-04T09:00:31.6634746Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-12-04T09:00:31.6635126Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-12-04T09:00:31.6635482Z   -e HUGGING_FACE_HUB_TOKEN \
2025-12-04T09:00:31.6635809Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-12-04T09:00:31.6636163Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-12-04T09:00:31.6636500Z   -e DASHBOARD_TAG \
2025-12-04T09:00:31.6636802Z   -e ARTIFACTS_FILE_SUFFIX \
2025-12-04T09:00:31.6637174Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-12-04T09:00:31.6637595Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-12-04T09:00:31.6638021Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-12-04T09:00:31.6638434Z   --security-opt seccomp=unconfined \
2025-12-04T09:00:31.6638775Z   --cap-add=SYS_PTRACE \
2025-12-04T09:00:31.6639076Z   --ipc=host \
2025-12-04T09:00:31.6639343Z   ${SHM_OPTS} \
2025-12-04T09:00:31.6639605Z   --tty \
2025-12-04T09:00:31.6639838Z   --detach \
2025-12-04T09:00:31.6640115Z   --name="${container_name}" \
2025-12-04T09:00:31.6640441Z   ${JENKINS_USER} \
2025-12-04T09:00:31.6640787Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-12-04T09:00:31.6641199Z   -w /var/lib/jenkins/workspace \
2025-12-04T09:00:31.6641535Z   "${USED_IMAGE}" \
2025-12-04T09:00:31.6641809Z   ${DOCKER_SHELL_CMD}
2025-12-04T09:00:31.6642090Z )
2025-12-04T09:00:31.6642429Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-12-04T09:00:31.6642855Z 
2025-12-04T09:00:31.6643117Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-12-04T09:00:31.6643710Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-12-04T09:00:31.6644252Z fi
2025-12-04T09:00:31.6644454Z 
2025-12-04T09:00:31.6644957Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-12-04T09:00:31.6650478Z shell: /usr/bin/bash -e {0}
2025-12-04T09:00:31.6650755Z env:
2025-12-04T09:00:31.6650977Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:00:31.6651242Z   HAS_NVIDIA_GPU: false
2025-12-04T09:00:31.6651545Z   BUILD_ENVIRONMENT: linux-jammy-py3.10-clang12
2025-12-04T09:00:31.6651893Z   PR_NUMBER: 
2025-12-04T09:00:31.6652129Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-12-04T09:00:31.6652439Z   GITHUB_WORKFLOW: slow
2025-12-04T09:00:31.6652688Z   GITHUB_JOB: test
2025-12-04T09:00:31.6652930Z   GITHUB_RUN_ID: 19922773007
2025-12-04T09:00:31.6653268Z   GITHUB_RUN_NUMBER: 21325
2025-12-04T09:00:31.6653538Z   GITHUB_RUN_ATTEMPT: 1
2025-12-04T09:00:31.6653792Z   JOB_ID: 57116038959
2025-12-04T09:00:31.6654237Z   JOB_NAME: linux-jammy-py3.10-clang12 / test (slow, 1, 2, linux.2xlarge, rerun_disabled_tests)
2025-12-04T09:00:31.6654749Z   BRANCH: main
2025-12-04T09:00:31.6655025Z   SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:00:31.6655497Z   BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:00:31.6655854Z   TEST_CONFIG: slow
2025-12-04T09:00:31.6656098Z   SHARD_NUMBER: 1
2025-12-04T09:00:31.6656322Z   NUM_TEST_SHARDS: 2
2025-12-04T09:00:31.6656568Z   EXTRA_FLAGS: 
2025-12-04T09:00:31.6656808Z   OP_BENCHMARK_TESTS: 
2025-12-04T09:00:31.6657059Z   REENABLED_ISSUES: 
2025-12-04T09:00:31.6657304Z   CONTINUE_THROUGH_ERROR: True
2025-12-04T09:00:31.6657595Z   VERBOSE_TEST_LOGS: False
2025-12-04T09:00:31.6657865Z   TEST_SHOWLOCALS: False
2025-12-04T09:00:31.6658120Z   NO_TEST_TIMEOUT: False
2025-12-04T09:00:31.6658379Z   NO_TD: False
2025-12-04T09:00:31.6658614Z   TD_DISTRIBUTED: False
2025-12-04T09:00:31.6658913Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-12-04T09:00:31.6659287Z   SCCACHE_REGION: us-east-1
2025-12-04T09:00:31.6659667Z   SHM_SIZE: 1g
2025-12-04T09:00:31.6660384Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:31.6661693Z   DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:31.6662503Z   XLA_CUDA: 
2025-12-04T09:00:31.6662872Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-12-04T09:00:31.6663326Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-12-04T09:00:31.6663655Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 1
2025-12-04T09:00:31.6663966Z   DASHBOARD_TAG: 
2025-12-04T09:00:31.6664410Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-12-04T09:00:31.6664829Z   HUGGING_FACE_HUB_TOKEN: ***
2025-12-04T09:00:31.6665239Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-12-04T09:00:31.6665638Z   ARTIFACTS_FILE_SUFFIX: test-slow-1-2-linux.2xlarge_57116038959
2025-12-04T09:00:31.6666045Z ##[endgroup]
2025-12-04T09:00:31.6687918Z + [[ slow == \m\u\l\t\i\g\p\u ]]
2025-12-04T09:00:31.6688259Z + [[ linux-jammy-py3.10-clang12 == *onnx* ]]
2025-12-04T09:00:31.6688609Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-12-04T09:00:31.6703059Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-12-04T09:00:31.6807994Z + TOTAL_AVAILABLE_MEMORY_IN_GB='14.244 '
2025-12-04T09:00:31.6808596Z + TOTAL_MEMORY_WITH_SWAP=17
2025-12-04T09:00:31.6809179Z + [[ linux-jammy-py3.10-clang12 == *\s\3\9\0\x* ]]
2025-12-04T09:00:31.6809803Z + SHM_OPTS=--shm-size=1g
2025-12-04T09:00:31.6810288Z + JENKINS_USER='--user jenkins'
2025-12-04T09:00:31.6810873Z + DOCKER_SHELL_CMD=
2025-12-04T09:00:31.6812089Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:31.6817555Z +++ nproc --ignore=2
2025-12-04T09:00:31.6842512Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=14g --memory-swap=17g --env-file=/tmp/github_env_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-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:00:40.2095384Z + container_name=7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:00:40.2096142Z + echo DOCKER_CONTAINER_ID=7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:00:40.2096849Z + [[ linux-jammy-py3.10-clang12 == *\s\3\9\0\x* ]]
2025-12-04T09:00:40.2101550Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl
2025-12-04T09:00:40.2103563Z + docker exec -t 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-12-04T09:00:40.7308750Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f)
2025-12-04T09:00:41.2952385Z 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)
2025-12-04T09:00:41.2957289Z 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)
2025-12-04T09:00:41.2962637Z 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)
2025-12-04T09:00:41.2968152Z 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)
2025-12-04T09:00:41.2972439Z 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)
2025-12-04T09:00:41.2977748Z 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)
2025-12-04T09:00:41.2991559Z 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)
2025-12-04T09:00:41.3368738Z 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)
2025-12-04T09:00:41.3388988Z 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)
2025-12-04T09:00:41.3446930Z 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)
2025-12-04T09:00:41.7687258Z Installing collected packages: torch
2025-12-04T09:00:52.0315316Z Successfully installed torch-2.10.0a0+gitffd9b0f
2025-12-04T09:00:52.1285199Z + export TERM=vt100
2025-12-04T09:00:52.1285561Z + TERM=vt100
2025-12-04T09:00:52.1286163Z ++ dirname .ci/pytorch/test.sh
2025-12-04T09:00:52.1464352Z + source .ci/pytorch/common.sh
2025-12-04T09:00:52.1524655Z +++ dirname .ci/pytorch/common.sh
2025-12-04T09:00:52.1645508Z ++ source .ci/pytorch/common_utils.sh
2025-12-04T09:00:52.1671936Z +++ declare -f -t trap_add
2025-12-04T09:00:52.1677871Z ++ set -ex -o pipefail
2025-12-04T09:00:52.1678172Z ++ [[ linux-jammy-py3.10-clang12 == *rocm* ]]
2025-12-04T09:00:52.1678522Z ++ BUILD_TEST_LIBTORCH=0
2025-12-04T09:00:52.1710179Z ++ dirname .ci/pytorch/test.sh
2025-12-04T09:00:52.1716839Z + source .ci/pytorch/common-build.sh
2025-12-04T09:00:52.1723923Z ++ [[ linux-jammy-py3.10-clang12 != *win-* ]]
2025-12-04T09:00:52.1729596Z ++++ dirname .ci/pytorch/common-build.sh
2025-12-04T09:00:52.1736950Z +++ cd .ci/pytorch
2025-12-04T09:00:52.1737260Z +++ pwd -P
2025-12-04T09:00:52.1739320Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-12-04T09:00:52.1739888Z ++ [[ linux-jammy-py3.10-clang12 == *-pch* ]]
2025-12-04T09:00:52.1740215Z ++ which sccache
2025-12-04T09:00:52.1837017Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-12-04T09:00:52.1837396Z ++ sccache --stop-server
2025-12-04T09:00:52.5321131Z ++ true
2025-12-04T09:00:52.5321441Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-12-04T09:00:52.5464963Z ++ trap_add sccache_epilogue EXIT
2025-12-04T09:00:52.5465364Z ++ trap_add_cmd=sccache_epilogue
2025-12-04T09:00:52.5465651Z ++ shift
2025-12-04T09:00:52.5465864Z ++ for trap_add_name in "$@"
2025-12-04T09:00:52.5471280Z ++++ trap -p EXIT
2025-12-04T09:00:52.5474865Z +++ eval 'extract_trap_cmd '
2025-12-04T09:00:52.5475186Z ++++ extract_trap_cmd
2025-12-04T09:00:52.5475628Z ++++ printf '%s\n' ''
2025-12-04T09:00:52.5475898Z +++ printf '%s\n' sccache_epilogue
2025-12-04T09:00:52.5477804Z ++ trap -- '
2025-12-04T09:00:52.5478210Z sccache_epilogue' EXIT
2025-12-04T09:00:52.5478472Z ++ [[ -n 1 ]]
2025-12-04T09:00:52.5478958Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-12-04T09:00:52.5479640Z Skipping sccache server initialization, setting environment variables
2025-12-04T09:00:52.5480103Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:00:52.5480460Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:00:52.5480802Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:00:52.5481318Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:00:52.5489332Z ++ export RUST_LOG=sccache::server=error
2025-12-04T09:00:52.5489702Z ++ RUST_LOG=sccache::server=error
2025-12-04T09:00:52.5489993Z ++ sccache --zero-stats
2025-12-04T09:00:53.1123898Z Statistics zeroed.
2025-12-04T09:00:53.1127127Z ++ which ccache
2025-12-04T09:00:53.1187755Z + [[ linux-jammy-py3.10-clang12 != *rocm* ]]
2025-12-04T09:00:53.1188148Z + [[ linux-jammy-py3.10-clang12 != *s390x* ]]
2025-12-04T09:00:53.1188504Z + [[ -d /var/lib/jenkins/workspace ]]
2025-12-04T09:00:53.1190999Z ++ stat -c %u /var/lib/jenkins/workspace
2025-12-04T09:00:53.2288504Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-12-04T09:00:53.2288878Z + trap_add cleanup_workspace EXIT
2025-12-04T09:00:53.2289220Z + trap_add_cmd=cleanup_workspace
2025-12-04T09:00:53.2289490Z + shift
2025-12-04T09:00:53.2289709Z + for trap_add_name in "$@"
2025-12-04T09:00:53.2295912Z +++ trap -p EXIT
2025-12-04T09:00:53.2298342Z ++ eval 'extract_trap_cmd trap -- '\''
2025-12-04T09:00:53.2298753Z sccache_epilogue'\'' EXIT'
2025-12-04T09:00:53.2299046Z +++ extract_trap_cmd trap -- '
2025-12-04T09:00:53.2299332Z sccache_epilogue' EXIT
2025-12-04T09:00:53.2299570Z +++ printf '%s\n' '
2025-12-04T09:00:53.2299900Z sccache_epilogue'
2025-12-04T09:00:53.2300153Z ++ printf '%s\n' cleanup_workspace
2025-12-04T09:00:53.2301736Z + trap -- '
2025-12-04T09:00:53.2301962Z sccache_epilogue
2025-12-04T09:00:53.2302201Z cleanup_workspace' EXIT
2025-12-04T09:00:53.2302506Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-12-04T09:00:54.1904705Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-12-04T09:00:54.2917398Z + [[ linux-jammy-py3.10-clang12 == *cuda* ]]
2025-12-04T09:00:54.2917883Z + echo 'Environment variables:'
2025-12-04T09:00:54.2918168Z Environment variables:
2025-12-04T09:00:54.2918475Z + env
2025-12-04T09:00:54.3053833Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:00:54.3054577Z CONTINUE_THROUGH_ERROR=True
2025-12-04T09:00:54.3055066Z BUILD_ENVIRONMENT=linux-jammy-py3.10-clang12
2025-12-04T09:00:54.3055964Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-12-04T09:00:54.3056433Z HOSTNAME=7e2c8223d631
2025-12-04T09:00:54.3057071Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_40291e8e-665c-40c2-a585-ed1ae409b9b4
2025-12-04T09:00:54.3057956Z GITHUB_ACTION=__run_3
2025-12-04T09:00:54.3058342Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-12-04T09:00:54.3058804Z GITHUB_RUN_NUMBER=21325
2025-12-04T09:00:54.3059112Z TEST_CONFIG=slow
2025-12-04T09:00:54.3059430Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-12-04T09:00:54.3059923Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-12-04T09:00:54.3060393Z SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:00:54.3061073Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-12-04T09:00:54.3061376Z GITHUB_TRIGGERING_ACTOR=huydhn
2025-12-04T09:00:54.3061668Z GITHUB_REF_TYPE=branch
2025-12-04T09:00:54.3061959Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:00:54.3062303Z XLA_CUDA=
2025-12-04T09:00:54.3062534Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-12-04T09:00:54.3062948Z HUGGING_FACE_HUB_TOKEN=***
2025-12-04T09:00:54.3063409Z ***
2025-12-04T09:00:54.3063629Z GITHUB_REPOSITORY_ID=65600975
2025-12-04T09:00:54.3063910Z GITHUB_ACTIONS=true
2025-12-04T09:00:54.3064194Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:00:54.3064607Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:00:54.3064992Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:00:54.3065499Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/slow.yml@refs/heads/main
2025-12-04T09:00:54.3065968Z UCC_HOME=/usr
2025-12-04T09:00:54.3066191Z VERBOSE_TEST_LOGS=False
2025-12-04T09:00:54.3066441Z GITHUB_REF=refs/heads/main
2025-12-04T09:00:54.3066703Z SHARD_NUMBER=1
2025-12-04T09:00:54.3066936Z GITHUB_REF_PROTECTED=true
2025-12-04T09:00:54.3067188Z HOME=/var/lib/jenkins
2025-12-04T09:00:54.3067506Z GITHUB_API_URL=https://api.github.com
2025-12-04T09:00:54.3067837Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1
2025-12-04T09:00:54.3068131Z UCX_COMMIT=
2025-12-04T09:00:54.3068330Z USE_SYSTEM_NCCL=1
2025-12-04T09:00:54.3068561Z NUM_TEST_SHARDS=2
2025-12-04T09:00:54.3068787Z UCX_HOME=/usr
2025-12-04T09:00:54.3069363Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_40291e8e-665c-40c2-a585-ed1ae409b9b4
2025-12-04T09:00:54.3070210Z JOB_NAME=linux-jammy-py3.10-clang12 / test (slow, 1, 2, linux.2xlarge, rerun_disabled_tests)
2025-12-04T09:00:54.3071031Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_40291e8e-665c-40c2-a585-ed1ae409b9b4
2025-12-04T09:00:54.3071856Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-12-04T09:00:54.3072357Z GITHUB_EVENT_NAME=schedule
2025-12-04T09:00:54.3072620Z DASHBOARD_TAG=
2025-12-04T09:00:54.3072851Z GITHUB_RUN_ID=19922773007
2025-12-04T09:00:54.3073110Z INSTALLED_OPENBLAS=
2025-12-04T09:00:54.3073718Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_40291e8e-665c-40c2-a585-ed1ae409b9b4
2025-12-04T09:00:54.3074400Z GITHUB_ACTOR=huydhn
2025-12-04T09:00:54.3074629Z PR_NUMBER=
2025-12-04T09:00:54.3074827Z DESIRED_CUDA=
2025-12-04T09:00:54.3075051Z GITHUB_RUN_ATTEMPT=1
2025-12-04T09:00:54.3075496Z ANACONDA_PYTHON_VERSION=3.10
2025-12-04T09:00:54.3075844Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-12-04T09:00:54.3076200Z TERM=vt100
2025-12-04T09:00:54.3076422Z INSTALLED_VISION=yes
2025-12-04T09:00:54.3076650Z BRANCH=main
2025-12-04T09:00:54.3076871Z SCCACHE_REGION=us-east-1
2025-12-04T09:00:54.3077141Z OPENSSL_ROOT_DIR=/opt/openssl
2025-12-04T09:00:54.3077412Z BUILD_AOT_INDUCTOR_TEST=
2025-12-04T09:00:54.3077674Z CUDA_PATH=/usr/local/cuda
2025-12-04T09:00:54.3078199Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-12-04T09:00:54.3078790Z GITHUB_SERVER_URL=https://github.com
2025-12-04T09:00:54.3079078Z UCC_COMMIT=
2025-12-04T09:00:54.3079288Z REENABLED_ISSUES=
2025-12-04T09:00:54.3079509Z DOCS=
2025-12-04T09:00:54.3079689Z SHLVL=1
2025-12-04T09:00:54.3079882Z MAX_JOBS=6
2025-12-04T09:00:54.3080092Z GITHUB_ACTOR_ID=475357
2025-12-04T09:00:54.3080420Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:00:54.3080812Z GITHUB_REF_NAME=main
2025-12-04T09:00:54.3081195Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-12-04T09:00:54.3081772Z GITHUB_JOB=test
2025-12-04T09:00:54.3082005Z NO_TEST_TIMEOUT=False
2025-12-04T09:00:54.3082253Z TD_DISTRIBUTED=False
2025-12-04T09:00:54.3082506Z GITHUB_REPOSITORY=pytorch/pytorch
2025-12-04T09:00:54.3082808Z GITHUB_RETENTION_DAYS=90
2025-12-04T09:00:54.3083077Z OPENSSL_DIR=/opt/openssl
2025-12-04T09:00:54.3083424Z GITHUB_ACTION_REPOSITORY=
2025-12-04T09:00:54.3084216Z 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
2025-12-04T09:00:54.3085030Z GITHUB_BASE_REF=
2025-12-04T09:00:54.3085261Z INSTALLED_ACL=
2025-12-04T09:00:54.3085569Z ARTIFACTS_FILE_SUFFIX=test-slow-1-2-linux.2xlarge_57116038959
2025-12-04T09:00:54.3085956Z CI=true
2025-12-04T09:00:54.3086180Z GITHUB_REPOSITORY_OWNER=pytorch
2025-12-04T09:00:54.3086500Z RUST_LOG=sccache::server=error
2025-12-04T09:00:54.3086781Z JOB_ID=57116038959
2025-12-04T09:00:54.3087017Z GITHUB_HEAD_REF=
2025-12-04T09:00:54.3087238Z GITHUB_ACTION_REF=
2025-12-04T09:00:54.3087525Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-12-04T09:00:54.3087878Z TEST_SHOWLOCALS=False
2025-12-04T09:00:54.3088114Z GITHUB_WORKFLOW=slow
2025-12-04T09:00:54.3088369Z DEBIAN_FRONTEND=noninteractive
2025-12-04T09:00:54.3089008Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_40291e8e-665c-40c2-a585-ed1ae409b9b4
2025-12-04T09:00:54.3089640Z NO_TD=False
2025-12-04T09:00:54.3089871Z SKIP_SCCACHE_INITIALIZATION=1
2025-12-04T09:00:54.3090179Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-12-04T09:00:54.3090489Z _=/usr/bin/env
2025-12-04T09:00:54.3090795Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-12-04T09:00:54.3547951Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-12-04T09:00:54.3549029Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T09:00:54.3549881Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-12-04T09:00:54.3550580Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-12-04T09:00:54.3551052Z + BUILD_DIR=build
2025-12-04T09:00:54.3551312Z + BUILD_RENAMED_DIR=build_renamed
2025-12-04T09:00:54.3551599Z + BUILD_BIN_DIR=build/bin
2025-12-04T09:00:54.3551858Z + SHARD_NUMBER=1
2025-12-04T09:00:54.3552113Z + NUM_TEST_SHARDS=2
2025-12-04T09:00:54.3552359Z + export TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:00:54.3552674Z + TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:00:54.3552957Z + export VALGRIND=ON
2025-12-04T09:00:54.3553217Z + VALGRIND=ON
2025-12-04T09:00:54.3553529Z + [[ linux-jammy-py3.10-clang12 == *clang9* ]]
2025-12-04T09:00:54.3553974Z + [[ linux-jammy-py3.10-clang12 == *xpu* ]]
2025-12-04T09:00:54.3554339Z + detect_cuda_arch
2025-12-04T09:00:54.3554591Z + [[ linux-jammy-py3.10-clang12 == *cuda* ]]
2025-12-04T09:00:54.3554943Z + [[ linux-jammy-py3.10-clang12 == *s390x* ]]
2025-12-04T09:00:54.3555263Z + [[ 1 == \1 ]]
2025-12-04T09:00:54.3555493Z + ulimit -c 0
2025-12-04T09:00:54.3555855Z + [[ linux-jammy-py3.10-clang12 != *bazel* ]]
2025-12-04T09:00:54.3556318Z ++ realpath build/custom_test_artifacts
2025-12-04T09:00:54.3791395Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-12-04T09:00:54.3792123Z + [[ -n '' ]]
2025-12-04T09:00:54.3792469Z + echo 'Environment variables'
2025-12-04T09:00:54.3792843Z Environment variables
2025-12-04T09:00:54.3793133Z + env
2025-12-04T09:00:54.3969058Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:00:54.3969919Z CONTINUE_THROUGH_ERROR=True
2025-12-04T09:00:54.3970464Z BUILD_ENVIRONMENT=linux-jammy-py3.10-clang12
2025-12-04T09:00:54.3971400Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-12-04T09:00:54.3971922Z HOSTNAME=7e2c8223d631
2025-12-04T09:00:54.3973004Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_40291e8e-665c-40c2-a585-ed1ae409b9b4
2025-12-04T09:00:54.3974119Z GITHUB_ACTION=__run_3
2025-12-04T09:00:54.3974376Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-12-04T09:00:54.3974684Z GITHUB_RUN_NUMBER=21325
2025-12-04T09:00:54.3975067Z TEST_CONFIG=slow
2025-12-04T09:00:54.3975537Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-12-04T09:00:54.3976130Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-12-04T09:00:54.3976503Z SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:00:54.3977177Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-12-04T09:00:54.3977642Z GITHUB_TRIGGERING_ACTOR=huydhn
2025-12-04T09:00:54.3978017Z GITHUB_REF_TYPE=branch
2025-12-04T09:00:54.3978345Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:00:54.3978832Z XLA_CUDA=
2025-12-04T09:00:54.3979149Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-12-04T09:00:54.3979992Z HUGGING_FACE_HUB_TOKEN=***
2025-12-04T09:00:54.3980385Z ***
2025-12-04T09:00:54.3980684Z GITHUB_REPOSITORY_ID=65600975
2025-12-04T09:00:54.3981078Z GITHUB_ACTIONS=true
2025-12-04T09:00:54.3981435Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:00:54.3981938Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:00:54.3982428Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:00:54.3983052Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/slow.yml@refs/heads/main
2025-12-04T09:00:54.3983576Z UCC_HOME=/usr
2025-12-04T09:00:54.3983912Z TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:00:54.3984298Z VERBOSE_TEST_LOGS=False
2025-12-04T09:00:54.3984615Z GITHUB_REF=refs/heads/main
2025-12-04T09:00:54.3984975Z SHARD_NUMBER=1
2025-12-04T09:00:54.3985312Z GITHUB_REF_PROTECTED=true
2025-12-04T09:00:54.3985630Z HOME=/var/lib/jenkins
2025-12-04T09:00:54.3986008Z GITHUB_API_URL=https://api.github.com
2025-12-04T09:00:54.3986451Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1
2025-12-04T09:00:54.3986798Z UCX_COMMIT=
2025-12-04T09:00:54.3987126Z USE_SYSTEM_NCCL=1
2025-12-04T09:00:54.3987473Z NUM_TEST_SHARDS=2
2025-12-04T09:00:54.3987784Z UCX_HOME=/usr
2025-12-04T09:00:54.3988415Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_40291e8e-665c-40c2-a585-ed1ae409b9b4
2025-12-04T09:00:54.3989380Z JOB_NAME=linux-jammy-py3.10-clang12 / test (slow, 1, 2, linux.2xlarge, rerun_disabled_tests)
2025-12-04T09:00:54.3990292Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_40291e8e-665c-40c2-a585-ed1ae409b9b4
2025-12-04T09:00:54.3991236Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-12-04T09:00:54.3991804Z GITHUB_EVENT_NAME=schedule
2025-12-04T09:00:54.3992151Z DASHBOARD_TAG=
2025-12-04T09:00:54.3992506Z GITHUB_RUN_ID=19922773007
2025-12-04T09:00:54.3992823Z INSTALLED_OPENBLAS=
2025-12-04T09:00:54.3993527Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_40291e8e-665c-40c2-a585-ed1ae409b9b4
2025-12-04T09:00:54.3994347Z GITHUB_ACTOR=huydhn
2025-12-04T09:00:54.3994626Z PR_NUMBER=
2025-12-04T09:00:54.3994924Z DESIRED_CUDA=
2025-12-04T09:00:54.3995271Z GITHUB_RUN_ATTEMPT=1
2025-12-04T09:00:54.3995559Z VALGRIND=ON
2025-12-04T09:00:54.3995873Z ANACONDA_PYTHON_VERSION=3.10
2025-12-04T09:00:54.3996330Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-12-04T09:00:54.3996773Z TERM=vt100
2025-12-04T09:00:54.3997035Z INSTALLED_VISION=yes
2025-12-04T09:00:54.3997392Z BRANCH=main
2025-12-04T09:00:54.3997700Z SCCACHE_REGION=us-east-1
2025-12-04T09:00:54.3998019Z OPENSSL_ROOT_DIR=/opt/openssl
2025-12-04T09:00:54.3998438Z BUILD_AOT_INDUCTOR_TEST=
2025-12-04T09:00:54.3998789Z CUDA_PATH=/usr/local/cuda
2025-12-04T09:00:54.3999361Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-12-04T09:00:54.4000075Z GITHUB_SERVER_URL=https://github.com
2025-12-04T09:00:54.4000465Z UCC_COMMIT=
2025-12-04T09:00:54.4000777Z REENABLED_ISSUES=
2025-12-04T09:00:54.4001090Z DOCS=
2025-12-04T09:00:54.4001381Z SHLVL=1
2025-12-04T09:00:54.4001660Z MAX_JOBS=6
2025-12-04T09:00:54.4001964Z GITHUB_ACTOR_ID=475357
2025-12-04T09:00:54.4002396Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:00:54.4003032Z GITHUB_REF_NAME=main
2025-12-04T09:00:54.4003556Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-12-04T09:00:54.4004048Z GITHUB_JOB=test
2025-12-04T09:00:54.4004352Z NO_TEST_TIMEOUT=False
2025-12-04T09:00:54.4004737Z TD_DISTRIBUTED=False
2025-12-04T09:00:54.4005060Z GITHUB_REPOSITORY=pytorch/pytorch
2025-12-04T09:00:54.4005497Z GITHUB_RETENTION_DAYS=90
2025-12-04T09:00:54.4005922Z OPENSSL_DIR=/opt/openssl
2025-12-04T09:00:54.4006232Z GITHUB_ACTION_REPOSITORY=
2025-12-04T09:00:54.4007098Z 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
2025-12-04T09:00:54.4007910Z GITHUB_BASE_REF=
2025-12-04T09:00:54.4008147Z INSTALLED_ACL=
2025-12-04T09:00:54.4008473Z ARTIFACTS_FILE_SUFFIX=test-slow-1-2-linux.2xlarge_57116038959
2025-12-04T09:00:54.4008853Z CI=true
2025-12-04T09:00:54.4009081Z GITHUB_REPOSITORY_OWNER=pytorch
2025-12-04T09:00:54.4009418Z RUST_LOG=sccache::server=error
2025-12-04T09:00:54.4009680Z JOB_ID=57116038959
2025-12-04T09:00:54.4009917Z GITHUB_HEAD_REF=
2025-12-04T09:00:54.4010149Z GITHUB_ACTION_REF=
2025-12-04T09:00:54.4010429Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-12-04T09:00:54.4010793Z TEST_SHOWLOCALS=False
2025-12-04T09:00:54.4011046Z GITHUB_WORKFLOW=slow
2025-12-04T09:00:54.4011317Z DEBIAN_FRONTEND=noninteractive
2025-12-04T09:00:54.4011943Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_40291e8e-665c-40c2-a585-ed1ae409b9b4
2025-12-04T09:00:54.4012591Z NO_TD=False
2025-12-04T09:00:54.4012827Z SKIP_SCCACHE_INITIALIZATION=1
2025-12-04T09:00:54.4013122Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-12-04T09:00:54.4013432Z _=/usr/bin/env
2025-12-04T09:00:54.4013661Z + echo 'Testing pytorch'
2025-12-04T09:00:54.4013904Z Testing pytorch
2025-12-04T09:00:54.4014143Z + export LANG=C.UTF-8
2025-12-04T09:00:54.4014381Z + LANG=C.UTF-8
2025-12-04T09:00:54.4552743Z + PR_NUMBER=
2025-12-04T09:00:54.4553113Z + [[ slow == \d\e\f\a\u\l\t ]]
2025-12-04T09:00:54.4553588Z + [[ slow == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-12-04T09:00:54.4553984Z + [[ slow == \s\l\o\w ]]
2025-12-04T09:00:54.4554243Z + export PYTORCH_TEST_WITH_SLOW=1
2025-12-04T09:00:54.4554596Z + PYTORCH_TEST_WITH_SLOW=1
2025-12-04T09:00:54.4554877Z + export PYTORCH_TEST_SKIP_FAST=1
2025-12-04T09:00:54.4555188Z + PYTORCH_TEST_SKIP_FAST=1
2025-12-04T09:00:54.4555515Z + [[ linux-jammy-py3.10-clang12 == *slow-gradcheck* ]]
2025-12-04T09:00:54.4555905Z + [[ linux-jammy-py3.10-clang12 == *cuda* ]]
2025-12-04T09:00:54.4556246Z + [[ linux-jammy-py3.10-clang12 == *rocm* ]]
2025-12-04T09:00:54.4556730Z + [[ linux-jammy-py3.10-clang12 == *xpu* ]]
2025-12-04T09:00:54.4557063Z + [[ slow == *crossref* ]]
2025-12-04T09:00:54.4557376Z + [[ linux-jammy-py3.10-clang12 == *rocm* ]]
2025-12-04T09:00:54.4557744Z + [[ linux-jammy-py3.10-clang12 == *xpu* ]]
2025-12-04T09:00:54.4558103Z + [[ linux-jammy-py3.10-clang12 != *-bazel-* ]]
2025-12-04T09:00:54.4558499Z + pip_install ninja==1.10.2
2025-12-04T09:00:54.4558869Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-12-04T09:00:54.4559391Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-12-04T09:00:54.9440464Z Collecting ninja==1.10.2
2025-12-04T09:00:54.9675741Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-12-04T09:00:54.9942794Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-12-04T09:00:55.3646654Z Installing collected packages: ninja
2025-12-04T09:00:55.3647341Z   Attempting uninstall: ninja
2025-12-04T09:00:55.3654932Z     Found existing installation: ninja 1.11.1.4
2025-12-04T09:00:55.3676142Z     Uninstalling ninja-1.11.1.4:
2025-12-04T09:00:55.3738574Z       Successfully uninstalled ninja-1.11.1.4
2025-12-04T09:00:55.4067860Z Successfully installed ninja-1.10.2
2025-12-04T09:00:55.4658249Z + 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
2025-12-04T09:00:55.4660315Z + 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
2025-12-04T09:00:55.4661779Z + [[ linux-jammy-py3.10-clang12 == *aarch64* ]]
2025-12-04T09:00:55.4662180Z + [[ linux-jammy-py3.10-clang12 == *asan* ]]
2025-12-04T09:00:55.4662566Z + [[ linux-jammy-py3.10-clang12 == *-debug* ]]
2025-12-04T09:00:55.4662928Z + [[ linux-jammy-py3.10-clang12 != *-bazel-* ]]
2025-12-04T09:00:55.4663452Z + echo 'We are not in debug mode: linux-jammy-py3.10-clang12. Expect the assertion to pass'
2025-12-04T09:00:55.4664091Z We are not in debug mode: linux-jammy-py3.10-clang12. Expect the assertion to pass
2025-12-04T09:00:55.4664551Z + cd test
2025-12-04T09:00:55.4664906Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-12-04T09:00:56.9032735Z + [[ slow == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-12-04T09:00:56.9033127Z + [[ slow == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-12-04T09:00:56.9033468Z + [[ slow == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-12-04T09:00:56.9038345Z + DYNAMO_BENCHMARK_FLAGS=()
2025-12-04T09:00:56.9038953Z + [[ slow == *pr_time_benchmarks* ]]
2025-12-04T09:00:56.9039486Z + [[ slow == *dynamo_eager* ]]
2025-12-04T09:00:56.9039754Z + [[ slow == *aot_eager* ]]
2025-12-04T09:00:56.9040023Z + [[ slow == *aot_inductor* ]]
2025-12-04T09:00:56.9040313Z + [[ slow == *max_autotune_inductor* ]]
2025-12-04T09:00:56.9040608Z + [[ slow == *inductor* ]]
2025-12-04T09:00:56.9040874Z + [[ slow == *dynamic* ]]
2025-12-04T09:00:56.9041131Z + [[ slow == *cpu* ]]
2025-12-04T09:00:56.9041356Z + [[ slow == *xpu* ]]
2025-12-04T09:00:56.9041642Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
2025-12-04T09:00:56.9076217Z + [[ linux-jammy-py3.10-clang12 == *libtorch* ]]
2025-12-04T09:00:56.9076615Z + [[ linux-jammy-py3.10-clang12 == *-bazel-* ]]
2025-12-04T09:00:56.9079431Z + cd test
2025-12-04T09:00:56.9080457Z + python -c 'import torch; print(torch.__config__.show())'
2025-12-04T09:00:58.0572475Z PyTorch built with:
2025-12-04T09:00:58.0572901Z   - GCC 4.2
2025-12-04T09:00:58.0573126Z   - C++ Version: 201703
2025-12-04T09:00:58.0573385Z   - clang 12.0.1
2025-12-04T09:00:58.0573989Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-12-04T09:00:58.0574713Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-12-04T09:00:58.0575145Z   - OpenMP 201811
2025-12-04T09:00:58.0575612Z   - LAPACK is enabled (usually provided by MKL)
2025-12-04T09:00:58.0575946Z   - NNPACK is enabled
2025-12-04T09:00:58.0576218Z   - CPU capability usage: AVX512
2025-12-04T09:00:58.0581695Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=35b7a9a26c5923d98aebaa41a031dae21788a9ee, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wsuggest-override -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=old-style-cast -Wconstant-conversion -Qunused-arguments -faligned-new -Werror -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 
2025-12-04T09:00:58.0587445Z 
2025-12-04T09:00:58.3058212Z + cd test
2025-12-04T09:00:58.3058630Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-12-04T09:00:59.4566337Z ATen/Parallel:
2025-12-04T09:00:59.4566804Z 	at::get_num_threads() : 4
2025-12-04T09:00:59.4567595Z 	at::get_num_interop_threads() : 4
2025-12-04T09:00:59.4568025Z OpenMP 201811
2025-12-04T09:00:59.4568361Z 	omp_get_max_threads() : 4
2025-12-04T09:00:59.4569186Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-12-04T09:00:59.4570080Z 	mkl_get_max_threads() : 4
2025-12-04T09:00:59.4570639Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-12-04T09:00:59.4571301Z std::thread::hardware_concurrency() : 8
2025-12-04T09:00:59.4571744Z Environment variables:
2025-12-04T09:00:59.4572122Z 	OMP_NUM_THREADS : [not set]
2025-12-04T09:00:59.4572541Z 	MKL_NUM_THREADS : [not set]
2025-12-04T09:00:59.4572931Z ATen parallel backend: OpenMP
2025-12-04T09:00:59.4573212Z 
2025-12-04T09:00:59.6991209Z + [[ slow == *numpy_2* ]]
2025-12-04T09:00:59.6991714Z + [[ linux-jammy-py3.10-clang12 == *aarch64* ]]
2025-12-04T09:00:59.6992253Z + [[ slow == *backward* ]]
2025-12-04T09:00:59.6992702Z + [[ slow == *libtorch_agnostic_targetting* ]]
2025-12-04T09:00:59.6993093Z + [[ slow == *xla* ]]
2025-12-04T09:00:59.6993332Z + [[ slow == *vllm* ]]
2025-12-04T09:00:59.6993586Z + [[ slow == *executorch* ]]
2025-12-04T09:00:59.6993872Z + [[ slow == \j\i\t\_\l\e\g\a\c\y ]]
2025-12-04T09:00:59.6994176Z + [[ slow == \q\u\a\n\t\i\z\a\t\i\o\n ]]
2025-12-04T09:00:59.6994518Z + [[ linux-jammy-py3.10-clang12 == *libtorch* ]]
2025-12-04T09:00:59.6994860Z + [[ slow == distributed ]]
2025-12-04T09:00:59.6995132Z + [[ slow == *operator_benchmark* ]]
2025-12-04T09:00:59.6995451Z + [[ slow == *operator_microbenchmark* ]]
2025-12-04T09:00:59.6995788Z + [[ slow == *attention_microbenchmark* ]]
2025-12-04T09:00:59.6996121Z + [[ slow == *inductor_distributed* ]]
2025-12-04T09:00:59.6996436Z + [[ slow == *inductor-halide* ]]
2025-12-04T09:00:59.6996740Z + [[ slow == *inductor-pallas* ]]
2025-12-04T09:00:59.6997034Z + [[ slow == *inductor-triton-cpu* ]]
2025-12-04T09:00:59.6997365Z + [[ slow == *inductor-micro-benchmark* ]]
2025-12-04T09:00:59.6997718Z + [[ slow == *aoti_cross_compile_for_windows* ]]
2025-12-04T09:00:59.6998040Z + [[ slow == *huggingface* ]]
2025-12-04T09:00:59.6998310Z + [[ slow == *timm* ]]
2025-12-04T09:00:59.6998557Z + [[ slow == cachebench ]]
2025-12-04T09:00:59.6998815Z + [[ slow == verify_cachebench ]]
2025-12-04T09:00:59.6999107Z + [[ slow == *torchbench* ]]
2025-12-04T09:00:59.6999395Z + [[ slow == *inductor_cpp_wrapper* ]]
2025-12-04T09:00:59.6999706Z + [[ slow == *inductor_core* ]]
2025-12-04T09:00:59.6999969Z + [[ slow == *inductor* ]]
2025-12-04T09:00:59.7000231Z + [[ slow == *einops* ]]
2025-12-04T09:00:59.7000488Z + [[ slow == *dynamo_core* ]]
2025-12-04T09:00:59.7000761Z + [[ slow == *dynamo_wrapped* ]]
2025-12-04T09:00:59.7001069Z + [[ linux-jammy-py3.10-clang12 == *rocm* ]]
2025-12-04T09:00:59.7001376Z + [[ 1 == 1 ]]
2025-12-04T09:00:59.7001589Z + [[ 2 -gt 1 ]]
2025-12-04T09:00:59.7001843Z + test_lazy_tensor_meta_reference_disabled
2025-12-04T09:00:59.7002245Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
2025-12-04T09:00:59.7002672Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
2025-12-04T09:00:59.7003114Z + echo 'Testing lazy tensor operations without meta reference'
2025-12-04T09:00:59.7003576Z Testing lazy tensor operations without meta reference
2025-12-04T09:00:59.7004058Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose
2025-12-04T09:01:04.5324650Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T09:01:04.5855395Z Ignoring disabled issues:  ['']
2025-12-04T09:01:04.5958888Z Found test times from artifacts
2025-12-04T09:01:04.6341713Z Found test times from artifacts
2025-12-04T09:01:04.6355206Z Running all tests
2025-12-04T09:01:04.6358495Z Running parallel tests on 3 processes
2025-12-04T09:01:04.6358929Z Name: tests to run (est. time: 0.01min)
2025-12-04T09:01:04.6359304Z   Serial tests (0):
2025-12-04T09:01:04.6359602Z   Parallel tests (1):
2025-12-04T09:01:04.6359851Z     lazy/test_ts_opinfo 1/1
2025-12-04T09:01:04.6360401Z Name: excluded (est. time: 0.0min)
2025-12-04T09:01:04.6360760Z   Serial tests (0):
2025-12-04T09:01:04.6361049Z   Parallel tests (0):
2025-12-04T09:01:04.6361481Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:01:04.635987][719.288449649]
2025-12-04T09:01:04.6362007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:01:04.6366217Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:01:04.636374]
2025-12-04T09:01:09.6583755Z 
2025-12-04T09:01:09.6584985Z 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_f1e638143a18304d_.log
2025-12-04T09:01:09.6586286Z Running 0 items in this shard:
2025-12-04T09:01:09.6586586Z 
2025-12-04T09:01:09.6587089Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:01:09.658323][724.310781332], took 0.08min
2025-12-04T09:01:09.6593796Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-14505e86ae83f411.xml
2025-12-04T09:01:10.1132228Z Uploading artifacts took 0.14 seconds
2025-12-04T09:01:12.9583483Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:01:12.957927][727.610386346]
2025-12-04T09:01:12.9583975Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:01:12.9586790Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:01:12.958353]
2025-12-04T09:01:17.7798011Z 
2025-12-04T09:01:17.7799511Z 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_41b3e1e113882854_.log
2025-12-04T09:01:17.7800569Z Running 0 items in this shard:
2025-12-04T09:01:17.7800759Z 
2025-12-04T09:01:17.7801028Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:01:17.779772][732.432230301], took 0.08min
2025-12-04T09:01:17.7811941Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-ec7370be304cd45e.xml
2025-12-04T09:01:18.5633501Z Running test batch 'tests to run' cost 13.93 seconds
2025-12-04T09:01:19.2024462Z 
2025-12-04T09:01:19.2024961Z real	0m19.503s
2025-12-04T09:01:19.2026449Z user	0m25.221s
2025-12-04T09:01:19.2026780Z sys	0m4.370s
2025-12-04T09:01:19.2027154Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE
2025-12-04T09:01:19.2027540Z + test_without_numpy
2025-12-04T09:01:19.2029917Z ++ dirname .ci/pytorch/test.sh
2025-12-04T09:01:19.2042169Z + pushd .ci/pytorch
2025-12-04T09:01:19.2042546Z ~/workspace/.ci/pytorch ~/workspace
2025-12-04T09:01:19.2043482Z + 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())'
2025-12-04T09:01:19.8455395Z /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.)
2025-12-04T09:01:19.8458352Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-12-04T09:01:20.5330425Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))'
2025-12-04T09:01:21.1558827Z /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.)
2025-12-04T09:01:21.1560315Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-12-04T09:01:21.5996570Z tensor([0., 1.])
2025-12-04T09:01:21.8236714Z + [[ slow == *dynamo_wrapped* ]]
2025-12-04T09:01:21.8237394Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx'
2025-12-04T09:01:22.4308142Z /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.)
2025-12-04T09:01:22.4309622Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-12-04T09:01:23.1291663Z + popd
2025-12-04T09:01:23.1291921Z ~/workspace
2025-12-04T09:01:23.1292150Z + install_torchvision
2025-12-04T09:01:23.1292418Z + local orig_preload
2025-12-04T09:01:23.1292646Z + local commit
2025-12-04T09:01:23.1295185Z ++ get_pinned_commit vision
2025-12-04T09:01:23.1295551Z ++ cat .github/ci_commit_pins/vision.txt
2025-12-04T09:01:23.1324925Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:01:23.1325459Z + orig_preload=
2025-12-04T09:01:23.1325903Z + '[' -n '' ']'
2025-12-04T09:01:23.1326284Z + [[ linux-jammy-py3.10-clang12 == *cuda* ]]
2025-12-04T09:01:23.1327111Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision
2025-12-04T09:01:23.1328052Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:01:23.1328654Z + local wheel_dir=dist/vision
2025-12-04T09:01:23.1328921Z + local found_whl=0
2025-12-04T09:01:23.1329172Z + for file in "${wheel_dir}"/*.whl
2025-12-04T09:01:23.1329471Z + [[ -f dist/vision/*.whl ]]
2025-12-04T09:01:23.1329722Z + '[' 0 == 0 ']'
2025-12-04T09:01:23.1330417Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:01:23.4466378Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:01:23.4471049Z   Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-d1r1fq1w
2025-12-04T09:01:23.4661139Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-d1r1fq1w
2025-12-04T09:01:25.2595384Z   Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e'
2025-12-04T09:01:25.2614460Z   Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:01:25.3739969Z   Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:01:27.0669657Z   Preparing metadata (pyproject.toml) ... [?25l- \ done
2025-12-04T09:01:27.0704236Z [?25hBuilding wheels for collected packages: torchvision
2025-12-04T09:03:04.9618126Z   Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | done
2025-12-04T09:03:04.9657311Z [?25h  Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1162538 sha256=288d496ecf84f24226727ce809f3a7c1e466f12e649e46d6e904cf4bb7aff0bb
2025-12-04T09:03:04.9660091Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac
2025-12-04T09:03:04.9697674Z Successfully built torchvision
2025-12-04T09:03:05.0518442Z + for file in "${wheel_dir}"/*.whl
2025-12-04T09:03:05.0519161Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:03:05.0526148Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl')
2025-12-04T09:03:05.0526711Z + local args
2025-12-04T09:03:05.0527116Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-12-04T09:03:05.0527681Z + for path in "${args[@]}"
2025-12-04T09:03:05.0528204Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl'
2025-12-04T09:03:05.0528957Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:03:05.0529827Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:03:05.3808839Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:03:05.3915287Z Installing collected packages: torchvision
2025-12-04T09:03:05.8445572Z Successfully installed torchvision-0.25.0a0+617079d
2025-12-04T09:03:05.8829783Z + '[' -n '' ']'
2025-12-04T09:03:05.8830046Z + test_python_shard 1
2025-12-04T09:03:05.8830298Z + [[ -z 2 ]]
2025-12-04T09:03:05.8831091Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 1 2 --verbose --upload-artifacts-while-running
2025-12-04T09:03:10.6933322Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T09:03:10.7033075Z Found test times from artifacts
2025-12-04T09:03:10.7422505Z Found test times from artifacts
2025-12-04T09:03:10.7435113Z Running all tests
2025-12-04T09:03:10.7907533Z Running parallel tests on 3 processes
2025-12-04T09:03:10.7921763Z Name: tests to run (est. time: 56.11min)
2025-12-04T09:03:10.7922271Z   Serial tests (47):
2025-12-04T09:03:10.7922647Z     dynamo/test_fake_distributed 1/1
2025-12-04T09:03:10.7923217Z     test_ci_sanity_check_fail 1/1
2025-12-04T09:03:10.7923733Z     inductor/test_max_autotune 1/1
2025-12-04T09:03:10.7924008Z     doctests 1/1
2025-12-04T09:03:10.7924251Z     inductor/test_flex_attention 1/1
2025-12-04T09:03:10.7924587Z     inductor/test_cutlass_backend 1/1
2025-12-04T09:03:10.7924894Z     inductor/test_benchmark_fusion 1/1
2025-12-04T09:03:10.7925229Z     inductor/test_distributed_patterns 1/1
2025-12-04T09:03:10.7925556Z     test_sort_and_select 1/1
2025-12-04T09:03:10.7925842Z     test_privateuseone_python_backend 1/1
2025-12-04T09:03:10.7926172Z     test_cpp_api_parity 1/1
2025-12-04T09:03:10.7926449Z     test_extension_utils 1/1
2025-12-04T09:03:10.7926723Z     test_show_pickle 1/1
2025-12-04T09:03:10.7926964Z     test_torch 1/1
2025-12-04T09:03:10.7927202Z     test_tensorexpr 1/1
2025-12-04T09:03:10.7927457Z     test_utils 1/1
2025-12-04T09:03:10.7927695Z     test_namedtuple_return_api 1/1
2025-12-04T09:03:10.7927991Z     test_fake_tensor 1/1
2025-12-04T09:03:10.7928255Z     test_multiprocessing 1/1
2025-12-04T09:03:10.7928509Z     test_fx 1/1
2025-12-04T09:03:10.7928745Z     test_autograd_fallback 1/1
2025-12-04T09:03:10.7929017Z     test_autocast 1/1
2025-12-04T09:03:10.7929257Z     test_python_dispatch 1/1
2025-12-04T09:03:10.7929539Z     test_jit_disabled 1/1
2025-12-04T09:03:10.7929819Z     test_cpp_extensions_mtia_backend 1/1
2025-12-04T09:03:10.7930153Z     functorch/test_memory_efficient_fusion 1/1
2025-12-04T09:03:10.7930496Z     test_tensor_creation_ops 1/1
2025-12-04T09:03:10.7930811Z     test_cpp_extensions_stream_and_event 1/1
2025-12-04T09:03:10.7931117Z     test_dispatch 1/1
2025-12-04T09:03:10.7931369Z     nn/test_convolution 1/1
2025-12-04T09:03:10.7931646Z     test_cpp_extensions_jit 1/1
2025-12-04T09:03:10.7931916Z     test_nn 1/1
2025-12-04T09:03:10.7932147Z     test_multiprocessing_spawn 1/1
2025-12-04T09:03:10.7932678Z     nn/test_pooling 1/1
2025-12-04T09:03:10.7932931Z     test_cuda_trace 1/1
2025-12-04T09:03:10.7933165Z     test_native_mha 1/1
2025-12-04T09:03:10.7933427Z     test_cuda_nvml_based_avail 1/1
2025-12-04T09:03:10.7933730Z     test_mobile_optimizer 1/1
2025-12-04T09:03:10.7933992Z     test_overrides 1/1
2025-12-04T09:03:10.7934246Z     test_cuda_primary_ctx 1/1
2025-12-04T09:03:10.7934635Z     test_reductions 1/1
2025-12-04T09:03:10.7934881Z     test_spectral_ops 1/1
2025-12-04T09:03:10.7935175Z     distributions/test_distributions 1/1
2025-12-04T09:03:10.7935500Z     test_autoload_disable 1/1
2025-12-04T09:03:10.7935769Z     test_autoload_enable 1/1
2025-12-04T09:03:10.7936059Z     test_cpp_extensions_aot_ninja 1/1
2025-12-04T09:03:10.7936383Z     test_cpp_extensions_aot_no_ninja 1/1
2025-12-04T09:03:10.7936687Z   Parallel tests (148):
2025-12-04T09:03:10.7936969Z     inductor/test_collective_autotuning 1/1
2025-12-04T09:03:10.7937358Z     test_functional_autograd_benchmark 1/1
2025-12-04T09:03:10.7937701Z     inductor/test_select_algorithm 1/1
2025-12-04T09:03:10.7938057Z     inductor/test_torchinductor_dynamic_shapes 2/2
2025-12-04T09:03:10.7938472Z     inductor/test_torchinductor_codegen_dynamic_shapes 1/2
2025-12-04T09:03:10.7938929Z     inductor/test_torchinductor_codegen_dynamic_shapes 2/2
2025-12-04T09:03:10.7939325Z     inductor/test_pattern_matcher 1/1
2025-12-04T09:03:10.7939809Z     inductor/test_smoke 1/1
2025-12-04T09:03:10.7940083Z     dynamo/test_after_aot 1/1
2025-12-04T09:03:10.7940373Z     inductor/test_minifier 1/1
2025-12-04T09:03:10.7940686Z     inductor/test_compiled_autograd 1/2
2025-12-04T09:03:10.7941001Z     inductor/test_custom_lowering 1/1
2025-12-04T09:03:10.7941325Z     inductor/test_cudagraph_trees 1/1
2025-12-04T09:03:10.7941649Z     inductor/test_fused_attention 1/1
2025-12-04T09:03:10.7941973Z     dynamo/test_activation_checkpointing 1/1
2025-12-04T09:03:10.7942317Z     inductor/test_binary_folding 1/1
2025-12-04T09:03:10.7942646Z     inductor/test_mkldnn_pattern_matcher 1/2
2025-12-04T09:03:10.7943003Z     inductor/test_mkldnn_pattern_matcher 2/2
2025-12-04T09:03:10.7943319Z     dynamo/test_logging 1/1
2025-12-04T09:03:10.7943613Z     inductor/test_inductor_freezing 1/1
2025-12-04T09:03:10.7943942Z     inductor/test_layout_optim 1/1
2025-12-04T09:03:10.7944233Z     dynamo/test_unspec 1/1
2025-12-04T09:03:10.7944507Z     dynamo/test_repros 1/1
2025-12-04T09:03:10.7944796Z     dynamo/test_higher_order_ops 1/1
2025-12-04T09:03:10.7945101Z     inductor/test_mmdecomp 1/1
2025-12-04T09:03:10.7945388Z     dynamo/test_ctx_manager 1/1
2025-12-04T09:03:10.7945665Z     dynamo/test_exc 1/1
2025-12-04T09:03:10.7945905Z     dynamo/test_misc 1/1
2025-12-04T09:03:10.7946186Z     inductor/test_cpu_select_algorithm 1/1
2025-12-04T09:03:10.7946528Z     inductor/test_aot_inductor_arrayref 1/1
2025-12-04T09:03:10.7946856Z     inductor/test_cpu_cpp_wrapper 1/4
2025-12-04T09:03:10.7947183Z     inductor/test_triton_cpu_backend 1/1
2025-12-04T09:03:10.7947496Z     test_custom_ops 1/1
2025-12-04T09:03:10.7947756Z     test_content_store 1/1
2025-12-04T09:03:10.7948011Z     inductor/test_halide 1/1
2025-12-04T09:03:10.7948300Z     inductor/test_compile_subprocess 1/1
2025-12-04T09:03:10.7948627Z     inductor/test_multi_kernel 1/1
2025-12-04T09:03:10.7948917Z     inductor/test_triton_syntax 1/1
2025-12-04T09:03:10.7949223Z     inductor/test_b2b_gemm 1/1
2025-12-04T09:03:10.7949515Z     inductor/test_ck_backend 1/1
2025-12-04T09:03:10.7949803Z     inductor/test_gpu_cpp_wrapper 1/1
2025-12-04T09:03:10.7950114Z     inductor/test_flex_flash 1/1
2025-12-04T09:03:10.7950410Z     inductor/test_native_matmul 1/1
2025-12-04T09:03:10.7950708Z     inductor/test_loop_ordering 1/1
2025-12-04T09:03:10.7951018Z     inductor/test_lookup_table 1/1
2025-12-04T09:03:10.7951347Z     inductor/test_move_constructors_to_gpu 1/1
2025-12-04T09:03:10.7951682Z     inductor/test_inplace_padding 1/1
2025-12-04T09:03:10.7952000Z     inductor/test_triton_wrapper 1/1
2025-12-04T09:03:10.7952315Z     inductor/test_control_deps 1/1
2025-12-04T09:03:10.7952744Z     inductor/test_op_dtype_prop 1/1
2025-12-04T09:03:10.7953042Z     inductor/test_inplacing_pass 1/1
2025-12-04T09:03:10.7953364Z     inductor/test_split_cat_fx_passes 1/1
2025-12-04T09:03:10.7953696Z     inductor/test_memory_planning 1/1
2025-12-04T09:03:10.7953994Z     inductor/test_memory 1/1
2025-12-04T09:03:10.7954282Z     inductor/test_dependencies 1/1
2025-12-04T09:03:10.7954695Z     inductor/test_mix_order_reduction 1/1
2025-12-04T09:03:10.7955013Z     dynamo/test_cudagraphs 1/1
2025-12-04T09:03:10.7955320Z     inductor/test_needs_exact_strides 1/1
2025-12-04T09:03:10.7955651Z     inductor/test_fxir_backend 1/1
2025-12-04T09:03:10.7955942Z     inductor/test_mps_basic 1/1
2025-12-04T09:03:10.7956301Z     inductor/test_cudagraph_trees_expandable_segments 1/1
2025-12-04T09:03:10.7956679Z     xpu/test_fusion 1/1
2025-12-04T09:03:10.7956932Z     test_matmul_cuda 1/1
2025-12-04T09:03:10.7957187Z     functorch/test_minifier 1/1
2025-12-04T09:03:10.7957499Z     higher_order_ops/test_invoke_quant 1/1
2025-12-04T09:03:10.7957824Z     torch_np/test_basic 1/1
2025-12-04T09:03:10.7958078Z     test_jiterator 1/1
2025-12-04T09:03:10.7958338Z     test_native_functions 1/1
2025-12-04T09:03:10.7958613Z     test_typing 1/1
2025-12-04T09:03:10.7958860Z     higher_order_ops/test_with_effects 1/1
2025-12-04T09:03:10.7959208Z     higher_order_ops/test_invoke_subgraph 1/1
2025-12-04T09:03:10.7959531Z     test_weak 1/1
2025-12-04T09:03:10.7959751Z     test_decomp 1/6
2025-12-04T09:03:10.7959980Z     test_decomp 3/6
2025-12-04T09:03:10.7960206Z     test_decomp 5/6
2025-12-04T09:03:10.7960422Z     test_complex 1/1
2025-12-04T09:03:10.7960659Z     test_optim 1/1
2025-12-04T09:03:10.7960906Z     lazy/test_functionalization 1/1
2025-12-04T09:03:10.7961202Z     torch_np/test_random 1/1
2025-12-04T09:03:10.7961486Z     nn/test_multihead_attention 1/1
2025-12-04T09:03:10.7961783Z     test_legacy_vmap 1/1
2025-12-04T09:03:10.7962043Z     lazy/test_bindings 1/1
2025-12-04T09:03:10.7962295Z     test_pytree 1/1
2025-12-04T09:03:10.7962549Z     profiler/test_record_function 1/1
2025-12-04T09:03:10.7962866Z     test_compile_benchmark_util 1/1
2025-12-04T09:03:10.7963181Z     test_set_default_mobile_cpu_allocator 1/1
2025-12-04T09:03:10.7963504Z     test_stateless 1/1
2025-12-04T09:03:10.7963755Z     functorch/test_ac 1/1
2025-12-04T09:03:10.7964007Z     test_binary_ufuncs 1/1
2025-12-04T09:03:10.7964286Z     higher_order_ops/test_print 1/1
2025-12-04T09:03:10.7964591Z     test_per_overload_api 1/1
2025-12-04T09:03:10.7964884Z     torch_np/numpy_tests/core/test_einsum 1/1
2025-12-04T09:03:10.7965218Z     test_out_dtype_op 1/1
2025-12-04T09:03:10.7965500Z     torch_np/test_ufuncs_basic 1/1
2025-12-04T09:03:10.7965791Z     lazy/test_step_closures 1/1
2025-12-04T09:03:10.7966090Z     functorch/dim/test_getsetitem 1/1
2025-12-04T09:03:10.7966407Z     test_ops_fwd_gradients 1/1
2025-12-04T09:03:10.7966667Z     test_meta 1/1
2025-12-04T09:03:10.7966894Z     test_ops_jit 1/1
2025-12-04T09:03:10.7978240Z     test_numpy_interop 1/1
2025-12-04T09:03:10.7978812Z     profiler/test_cpp_thread 1/1
2025-12-04T09:03:10.7979221Z     test_ops_gradients 1/1
2025-12-04T09:03:10.7979583Z     test_hub 1/1
2025-12-04T09:03:10.7979873Z     test_segment_reductions 1/1
2025-12-04T09:03:10.7980299Z     test_type_hints 1/1
2025-12-04T09:03:10.7980731Z     functorch/test_aot_joint_with_descriptors 1/1
2025-12-04T09:03:10.7981111Z     test_nestedtensor 1/1
2025-12-04T09:03:10.7981404Z     distributions/test_constraints 1/1
2025-12-04T09:03:10.7981717Z     test_linalg 1/1
2025-12-04T09:03:10.7981986Z     test_functionalization_of_rng_ops 1/1
2025-12-04T09:03:10.7982306Z     test_fx_reinplace_pass 1/1
2025-12-04T09:03:10.7982602Z     functorch/test_control_flow 1/1
2025-12-04T09:03:10.7982899Z     test_modules 1/1
2025-12-04T09:03:10.7983140Z     nn/test_packed_sequence 1/1
2025-12-04T09:03:10.7983426Z     test_numa_binding 1/1
2025-12-04T09:03:10.7983689Z     test_pruning_op 1/1
2025-12-04T09:03:10.7983923Z     test_logging 1/1
2025-12-04T09:03:10.7984336Z     nn/test_lazy_modules 1/1
2025-12-04T09:03:10.7984614Z     nn/test_pruning 1/1
2025-12-04T09:03:10.7984851Z     test_monitor 1/1
2025-12-04T09:03:10.7985098Z     test_cuda_sanitizer 1/1
2025-12-04T09:03:10.7985378Z     test_bundled_inputs 1/1
2025-12-04T09:03:10.7985667Z     torch_np/numpy_tests/core/test_numeric 1/1
2025-12-04T09:03:10.7986134Z     torch_np/numpy_tests/core/test_multiarray 1/2
2025-12-04T09:03:10.7986483Z     optim/test_swa_utils 1/1
2025-12-04T09:03:10.7986749Z     functorch/test_dims 1/1
2025-12-04T09:03:10.7987060Z     torch_np/numpy_tests/core/test_scalarmath 1/1
2025-12-04T09:03:10.7987406Z     test_scaled_matmul_cuda 1/1
2025-12-04T09:03:10.7987728Z     torch_np/numpy_tests/core/test_shape_base 1/1
2025-12-04T09:03:10.7988051Z     test_vulkan 1/1
2025-12-04T09:03:10.7988293Z     lazy/test_generator 1/1
2025-12-04T09:03:10.7988594Z     torch_np/numpy_tests/linalg/test_linalg 1/1
2025-12-04T09:03:10.7988946Z     torch_np/numpy_tests/core/test_dtype 1/1
2025-12-04T09:03:10.7989309Z     lazy/test_debug_util 1/1
2025-12-04T09:03:10.7989589Z     nn/test_load_state_dict 1/1
2025-12-04T09:03:10.7989857Z     test_shape_ops 1/1
2025-12-04T09:03:10.7990117Z     nn/test_module_hooks 1/1
2025-12-04T09:03:10.7990433Z     torch_np/numpy_tests/lib/test_twodim_base 1/1
2025-12-04T09:03:10.7990783Z     profiler/test_memory_profiler 1/1
2025-12-04T09:03:10.7991101Z     test_jit_llga_fuser 1/1
2025-12-04T09:03:10.7991383Z     test_serialization 1/1
2025-12-04T09:03:10.7991637Z     test_sparse_csr 1/1
2025-12-04T09:03:10.7991886Z     test_indexing 1/1
2025-12-04T09:03:10.7992168Z     torch_np/numpy_tests/fft/test_pocketfft 1/1
2025-12-04T09:03:10.7992501Z     functorch/test_ops 1/1
2025-12-04T09:03:10.7992770Z     functorch/test_aotdispatch 2/3
2025-12-04T09:03:10.7993079Z     functorch/test_aotdispatch 3/3
2025-12-04T09:03:10.7993380Z     test_cuda_multigpu 1/1
2025-12-04T09:03:10.7993648Z Name: excluded (est. time: 0.0min)
2025-12-04T09:03:10.7993934Z   Serial tests (0):
2025-12-04T09:03:10.7994179Z   Parallel tests (0):
2025-12-04T09:03:10.7994609Z Running dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:03:10.797314][845.449775433]
2025-12-04T09:03:10.7995111Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:03:10.7996376Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fake_distributed.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:10.797745]
2025-12-04T09:03:14.2670539Z 
2025-12-04T09:03:14.2672000Z 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_8c9bae0a2c67600c_.log
2025-12-04T09:03:14.2673298Z Running 0 items in this shard:
2025-12-04T09:03:14.2673511Z 
2025-12-04T09:03:14.2673828Z Finished dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:03:14.267003][848.919460663], took 0.06min
2025-12-04T09:03:14.2682495Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-4c95d6a363c0d107.xml
2025-12-04T09:03:14.6818269Z Uploading artifacts took 0.11 seconds
2025-12-04T09:03:14.6822086Z Running test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:03:14.682018][849.334476789]
2025-12-04T09:03:14.6822754Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:03:14.6827051Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ci_sanity_check_fail.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:14.682429]
2025-12-04T09:03:17.6009956Z Finished test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:03:17.600647][852.253100687], took 0.05min
2025-12-04T09:03:17.6018956Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-89259b446e12f5e2.xml
2025-12-04T09:03:17.7470727Z Uploading logs for 57116038959 to S3
2025-12-04T09:03:17.7747110Z Uploading artifacts took 0.15 seconds
2025-12-04T09:03:17.7747750Z test_ci_sanity_check_fail 1/1 failed!
2025-12-04T09:03:17.7753393Z Running inductor/test_max_autotune 1/1 ... [2025-12-04 09:03:17.775083][852.427543308]
2025-12-04T09:03:17.7757266Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:03:17.7759345Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_max_autotune.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:17.775541]
2025-12-04T09:03:28.1669136Z 
2025-12-04T09:03:28.1670453Z 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_128c553130f49ba9_.log
2025-12-04T09:03:28.1671206Z 
2025-12-04T09:03:28.1671529Z Finished inductor/test_max_autotune 1/1 ... [2025-12-04 09:03:28.166680][862.819140942], took 0.17min
2025-12-04T09:03:28.1682759Z Running doctests 1/1 ... [2025-12-04 09:03:28.168086][862.820547338]
2025-12-04T09:03:28.7569548Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368.
2025-12-04T09:03:28.7570430Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:28.7571019Z Registers the function implementation as the fallback for the given key.
2025-12-04T09:03:28.7571401Z 
2025-12-04T09:03:28.7571614Z         This function only works for a library with global namespace ("_").
2025-12-04T09:03:28.7571944Z 
2025-12-04T09:03:28.7572040Z         Args:
2025-12-04T09:03:28.7572462Z             fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-12-04T09:03:28.7572970Z                 to register a fallthrough.
2025-12-04T09:03:28.7573510Z             dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-12-04T09:03:28.7574110Z                           the dispatch key that the library was created with.
2025-12-04T09:03:28.7574752Z             with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-12-04T09:03:28.7575715Z                          to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-12-04T09:03:28.7576161Z 
2025-12-04T09:03:28.7576272Z         Example::
2025-12-04T09:03:28.7576407Z 
2025-12-04T09:03:28.7576528Z             >>> my_lib = Library("_", "IMPL")
2025-12-04T09:03:28.7576871Z             >>> def fallback_kernel(op, *args, **kwargs):
2025-12-04T09:03:28.7577243Z             >>>     # Handle all autocast ops generically
2025-12-04T09:03:28.7577567Z             >>>     # ...
2025-12-04T09:03:28.7577868Z             >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T09:03:28.7578204Z         
2025-12-04T09:03:28.7578939Z 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))
2025-12-04T09:03:28.7579759Z 
2025-12-04T09:03:28.7579906Z my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T09:03:28.7580208Z ^
2025-12-04T09:03:28.7708198Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958.
2025-12-04T09:03:28.7709329Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:28.7709923Z Register a FakeTensor implementation ("fake impl") for this operator.
2025-12-04T09:03:28.7710257Z 
2025-12-04T09:03:28.7710434Z     Also sometimes known as a "meta kernel", "abstract impl".
2025-12-04T09:03:28.7710735Z 
2025-12-04T09:03:28.7710972Z     An "FakeTensor implementation" specifies the behavior of this operator on
2025-12-04T09:03:28.7711918Z     Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-12-04T09:03:28.7712481Z     certain properties (sizes/strides/storage_offset/device), it specifies
2025-12-04T09:03:28.7712958Z     what the properties of the output Tensors are.
2025-12-04T09:03:28.7713217Z 
2025-12-04T09:03:28.7713544Z     The FakeTensor implementation has the same signature as the operator.
2025-12-04T09:03:28.7714095Z     It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-12-04T09:03:28.7714632Z     implementation, assume that all Tensor inputs to the operator are
2025-12-04T09:03:28.7715157Z     regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-12-04T09:03:28.7715684Z     you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-12-04T09:03:28.7716235Z     The FakeTensor implementation must consist of only PyTorch operations
2025-12-04T09:03:28.7716763Z     (and may not directly access the storage or data of any input or
2025-12-04T09:03:28.7717168Z     intermediate Tensors).
2025-12-04T09:03:28.7717340Z 
2025-12-04T09:03:28.7717502Z     This API may be used as a decorator (see examples).
2025-12-04T09:03:28.7717758Z 
2025-12-04T09:03:28.7717904Z     For a detailed guide on custom ops, please see
2025-12-04T09:03:28.7718388Z     https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-12-04T09:03:28.7718736Z 
2025-12-04T09:03:28.7718818Z     Args:
2025-12-04T09:03:28.7719154Z         op_name: Operator name (along with the overload) or OpOverload object.
2025-12-04T09:03:28.7719591Z         func: Fake tensor implementation.
2025-12-04T09:03:28.7720007Z         lib (Optional[Library]): Library to register the fake tensor to.
2025-12-04T09:03:28.7720496Z         allow_override: Flag controlling if we want to override an
2025-12-04T09:03:28.7720963Z                         existing registered fake impl. This is by default off,
2025-12-04T09:03:28.7721415Z                         and will error you're trying to register a fake impl to
2025-12-04T09:03:28.7721871Z                         an operator that already has a fake impl. This also only
2025-12-04T09:03:28.7722313Z                         applies if the custom operator was not created via
2025-12-04T09:03:28.7722761Z                         torch.library.custom_op, as overriding and existing fake
2025-12-04T09:03:28.7723182Z                         impl is already allowed.
2025-12-04T09:03:28.7723409Z 
2025-12-04T09:03:28.7723492Z     Examples:
2025-12-04T09:03:28.7723715Z         >>> import torch
2025-12-04T09:03:28.7723962Z         >>> import numpy as np
2025-12-04T09:03:28.7724245Z         >>> from torch import Tensor
2025-12-04T09:03:28.7724529Z         >>>
2025-12-04T09:03:28.7724818Z         >>> # Example 1: an operator without data-dependent output shape
2025-12-04T09:03:28.7725347Z         >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-12-04T09:03:28.7725894Z         >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T09:03:28.7726386Z         >>>     raise NotImplementedError("Implementation goes here")
2025-12-04T09:03:28.7726762Z         >>>
2025-12-04T09:03:28.7727049Z         >>> @torch.library.register_fake("mylib::custom_linear")
2025-12-04T09:03:28.7727425Z         >>> def _(x, weight, bias):
2025-12-04T09:03:28.7727716Z         >>>     assert x.dim() == 2
2025-12-04T09:03:28.7728016Z         >>>     assert weight.dim() == 2
2025-12-04T09:03:28.7728334Z         >>>     assert bias.dim() == 1
2025-12-04T09:03:28.7728653Z         >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T09:03:28.7729013Z         >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T09:03:28.7729393Z         >>>     assert x.device == weight.device
2025-12-04T09:03:28.7729709Z         >>>
2025-12-04T09:03:28.7729929Z         >>>     return (x @ weight.t()) + bias
2025-12-04T09:03:28.7730231Z         >>>
2025-12-04T09:03:28.7730598Z         >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-12-04T09:03:28.7730969Z         >>>     x = torch.randn(2, 3)
2025-12-04T09:03:28.7731272Z         >>>     w = torch.randn(3, 3)
2025-12-04T09:03:28.7731570Z         >>>     b = torch.randn(3)
2025-12-04T09:03:28.7731883Z         >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-12-04T09:03:28.7732214Z         >>>
2025-12-04T09:03:28.7732494Z         >>> assert y.shape == (2, 3)
2025-12-04T09:03:28.7732762Z         >>>
2025-12-04T09:03:28.7733053Z         >>> # Example 2: an operator with data-dependent output shape
2025-12-04T09:03:28.7733555Z         >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-12-04T09:03:28.7734011Z         >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-12-04T09:03:28.7734351Z         >>>     x_np = x.numpy(force=True)
2025-12-04T09:03:28.7734702Z         >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T09:03:28.7735082Z         >>>     return torch.tensor(res, device=x.device)
2025-12-04T09:03:28.7735406Z         >>>
2025-12-04T09:03:28.7735695Z         >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-12-04T09:03:28.7736068Z         >>> def _(x):
2025-12-04T09:03:28.7736355Z         >>> # Number of nonzero-elements is data-dependent.
2025-12-04T09:03:28.7736764Z         >>> # Since we cannot peek at the data in an fake impl,
2025-12-04T09:03:28.7737189Z         >>> # we use the ctx object to construct a new symint that
2025-12-04T09:03:28.7737582Z         >>> # represents the data-dependent size.
2025-12-04T09:03:28.7737924Z         >>>     ctx = torch.library.get_ctx()
2025-12-04T09:03:28.7738260Z         >>>     nnz = ctx.new_dynamic_size()
2025-12-04T09:03:28.7738583Z         >>>     shape = [nnz, x.dim()]
2025-12-04T09:03:28.7738922Z         >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T09:03:28.7739282Z         >>>     return result
2025-12-04T09:03:28.7739637Z         >>>
2025-12-04T09:03:28.7739928Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-12-04T09:03:28.7740308Z         >>>
2025-12-04T09:03:28.7740539Z         >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-12-04T09:03:28.7741006Z         >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-12-04T09:03:28.7741456Z         >>> trace.print_readable()
2025-12-04T09:03:28.7741737Z         >>>
2025-12-04T09:03:28.7742073Z         >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-12-04T09:03:28.7742405Z 
2025-12-04T09:03:28.7742484Z     
2025-12-04T09:03:28.7743111Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-12-04T09:03:28.7743743Z 
2025-12-04T09:03:28.7743823Z _._ = None
2025-12-04T09:03:28.7744020Z ^
2025-12-04T09:03:28.7845681Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530.
2025-12-04T09:03:28.7846512Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:28.7847092Z Returns the computed kernel for a given operator and dispatch key.
2025-12-04T09:03:28.7847407Z 
2025-12-04T09:03:28.7847639Z     This function retrieves the kernel that would be executed for a given
2025-12-04T09:03:28.7848196Z     operator and dispatch key combination. The returned SafeKernelFunction
2025-12-04T09:03:28.7848746Z     can be used to call the kernel in a boxed fashion. The intended use
2025-12-04T09:03:28.7849260Z     case for this function is to retrieve the original kernel for a given
2025-12-04T09:03:28.7849785Z     dispatch key and then register another kernel to the same dispatch key
2025-12-04T09:03:28.7850281Z     that calls into the original kernel for certain cases.
2025-12-04T09:03:28.7850562Z 
2025-12-04T09:03:28.7850643Z     Args:
2025-12-04T09:03:28.7850953Z         op: Operator name (along with the overload) or OpOverload object
2025-12-04T09:03:28.7851484Z             Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-12-04T09:03:28.7852263Z         dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-12-04T09:03:28.7852821Z             Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-12-04T09:03:28.7853122Z 
2025-12-04T09:03:28.7853219Z     Returns:
2025-12-04T09:03:28.7853655Z         torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-12-04T09:03:28.7854103Z             call the kernel.
2025-12-04T09:03:28.7854274Z 
2025-12-04T09:03:28.7854372Z     Raises:
2025-12-04T09:03:28.7854630Z         RuntimeError: If the operator does not exist.
2025-12-04T09:03:28.7854894Z 
2025-12-04T09:03:28.7854978Z     Example:
2025-12-04T09:03:28.7855226Z         >>> # Get the CPU kernel for torch.add
2025-12-04T09:03:28.7855631Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-12-04T09:03:28.7856019Z         >>>
2025-12-04T09:03:28.7856256Z         >>> # You can also use DispatchKey enum
2025-12-04T09:03:28.7856746Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-12-04T09:03:28.7857185Z         >>>
2025-12-04T09:03:28.7857421Z         >>> # Or use an OpOverload directly
2025-12-04T09:03:28.7857858Z         >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-12-04T09:03:28.7858265Z         >>>
2025-12-04T09:03:28.7858599Z         >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-12-04T09:03:28.7859046Z         >>> # Get the original kernel for torch.sin
2025-12-04T09:03:28.7859493Z         >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-12-04T09:03:28.7859997Z         >>>
2025-12-04T09:03:28.7860341Z         >>> # If input has negative values, use original sin, otherwise return zeros
2025-12-04T09:03:28.7860824Z         >>> def conditional_sin_impl(dispatch_keys, x):
2025-12-04T09:03:28.7861155Z         >>>     if (x < 0).any():
2025-12-04T09:03:28.7861531Z         >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-12-04T09:03:28.7861916Z         >>>     else:
2025-12-04T09:03:28.7862164Z         >>>         return torch.zeros_like(x)
2025-12-04T09:03:28.7862478Z         >>>
2025-12-04T09:03:28.7862728Z         >>> lib = torch.library.Library("aten", "IMPL")
2025-12-04T09:03:28.7863231Z         >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-12-04T09:03:28.7863775Z         >>> which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T09:03:28.7864261Z         >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-12-04T09:03:28.7864652Z         >>>
2025-12-04T09:03:28.7864870Z         >>> # Test the conditional behavior
2025-12-04T09:03:28.7865208Z         >>> x_positive = torch.tensor([1.0, 2.0])
2025-12-04T09:03:28.7865548Z         >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-12-04T09:03:28.7865876Z         >>> torch.sin(x_positive)
2025-12-04T09:03:28.7866154Z         tensor([0., 0.])
2025-12-04T09:03:28.7866416Z         >>> torch.sin(x_mixed)
2025-12-04T09:03:28.7866691Z         tensor([-0.8415, 0.9093])
2025-12-04T09:03:28.7866953Z     
2025-12-04T09:03:28.7867542Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-12-04T09:03:28.7868117Z 
2025-12-04T09:03:28.7868312Z which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T09:03:28.7868677Z       ^
2025-12-04T09:03:29.0919631Z 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.
2025-12-04T09:03:29.0921338Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:29.0922477Z Check if the current accelerator is available at runtime: it was build, all the
2025-12-04T09:03:29.0923599Z     required drivers are available and at least one device is visible.
2025-12-04T09:03:29.0924783Z     See :ref:`accelerator<accelerators>` for details.
2025-12-04T09:03:29.0925215Z 
2025-12-04T09:03:29.0925366Z     Returns:
2025-12-04T09:03:29.0926096Z         bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-12-04T09:03:29.0926866Z 
2025-12-04T09:03:29.0927332Z     .. note:: This API delegates to the device-specific version of `is_available`.
2025-12-04T09:03:29.0928679Z         On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-12-04T09:03:29.0929897Z         this function will NOT poison fork. Otherwise, it will. For more details, see
2025-12-04T09:03:29.0930836Z         :ref:`multiprocessing-poison-fork-note`.
2025-12-04T09:03:29.0931316Z 
2025-12-04T09:03:29.0931481Z     Example::
2025-12-04T09:03:29.0931689Z 
2025-12-04T09:03:29.0932185Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:03:29.0933021Z     
2025-12-04T09:03:29.0934296Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-12-04T09:03:29.0935619Z 
2025-12-04T09:03:29.0936078Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:03:29.0936961Z                                         ^
2025-12-04T09:03:29.0959975Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239.
2025-12-04T09:03:29.0961665Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:29.0962749Z Wait for all kernels in all streams on the given device to complete.
2025-12-04T09:03:29.0963365Z 
2025-12-04T09:03:29.0963529Z     Args:
2025-12-04T09:03:29.0964320Z         device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-12-04T09:03:29.0965577Z             the current :ref:`accelerator<accelerators>` device type. If not given,
2025-12-04T09:03:29.0966575Z             use :func:`torch.accelerator.current_device_index` by default.
2025-12-04T09:03:29.0967129Z 
2025-12-04T09:03:29.0967718Z     .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-12-04T09:03:29.0968540Z 
2025-12-04T09:03:29.0968702Z     Example::
2025-12-04T09:03:29.0968954Z 
2025-12-04T09:03:29.0969212Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-12-04T09:03:29.0970138Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:03:29.0971006Z         >>> start_event = torch.Event(enable_timing=True)
2025-12-04T09:03:29.0971387Z         >>> end_event = torch.Event(enable_timing=True)
2025-12-04T09:03:29.0971742Z         >>> start_event.record()
2025-12-04T09:03:29.0972176Z         >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-12-04T09:03:29.0972627Z         >>> sum = torch.sum(tensor)
2025-12-04T09:03:29.0972945Z         >>> end_event.record()
2025-12-04T09:03:29.0973250Z         >>> torch.accelerator.synchronize()
2025-12-04T09:03:29.0973653Z         >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-12-04T09:03:29.0974004Z     
2025-12-04T09:03:29.0974681Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-12-04T09:03:29.0975569Z 
2025-12-04T09:03:29.0975841Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:03:29.0976298Z                                         ^
2025-12-04T09:03:29.1289859Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448.
2025-12-04T09:03:29.1291513Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:29.1292427Z Retrieves the CUDA runtime API module.
2025-12-04T09:03:29.1292838Z 
2025-12-04T09:03:29.1293141Z 
2025-12-04T09:03:29.1293626Z     This function initializes the CUDA runtime environment if it is not already
2025-12-04T09:03:29.1294760Z     initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-12-04T09:03:29.1295842Z     runtime API module provides access to various CUDA runtime functions.
2025-12-04T09:03:29.1296502Z 
2025-12-04T09:03:29.1296659Z     Args:
2025-12-04T09:03:29.1297164Z         ``None``
2025-12-04T09:03:29.1297425Z 
2025-12-04T09:03:29.1297574Z     Returns:
2025-12-04T09:03:29.1298050Z         module: The CUDA runtime API module (_cudart).
2025-12-04T09:03:29.1298524Z 
2025-12-04T09:03:29.1298687Z     Raises:
2025-12-04T09:03:29.1299321Z         RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-12-04T09:03:29.1300771Z         AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-12-04T09:03:29.1301692Z 
2025-12-04T09:03:29.1301946Z     Example of CUDA operations with profiling:
2025-12-04T09:03:29.1302567Z         >>> import torch
2025-12-04T09:03:29.1303103Z         >>> from torch.cuda import cudart, check_error
2025-12-04T09:03:29.1303725Z         >>> import os
2025-12-04T09:03:29.1304134Z         >>>
2025-12-04T09:03:29.1304537Z         >>> os.environ["CUDA_PROFILE"] = "1"
2025-12-04T09:03:29.1305096Z         >>>
2025-12-04T09:03:29.1305569Z         >>> def perform_cuda_operations_with_streams():
2025-12-04T09:03:29.1306225Z         >>>     stream = torch.cuda.Stream()
2025-12-04T09:03:29.1306851Z         >>>     with torch.cuda.stream(stream):
2025-12-04T09:03:29.1307500Z         >>>         x = torch.randn(100, 100, device='cuda')
2025-12-04T09:03:29.1308148Z         >>>         y = torch.randn(100, 100, device='cuda')
2025-12-04T09:03:29.1308763Z         >>>         z = torch.mul(x, y)
2025-12-04T09:03:29.1309308Z         >>>     return z
2025-12-04T09:03:29.1309727Z         >>>
2025-12-04T09:03:29.1310134Z         >>> torch.cuda.synchronize()
2025-12-04T09:03:29.1310758Z         >>> print("====== Start nsys profiling ======")
2025-12-04T09:03:29.1311451Z         >>> check_error(cudart().cudaProfilerStart())
2025-12-04T09:03:29.1312134Z         >>> with torch.autograd.profiler.emit_nvtx():
2025-12-04T09:03:29.1312870Z         >>>     result = perform_cuda_operations_with_streams()
2025-12-04T09:03:29.1313585Z         >>>     print("CUDA operations completed.")
2025-12-04T09:03:29.1314310Z         >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-12-04T09:03:29.1315055Z         >>> print("====== End nsys profiling ======")
2025-12-04T09:03:29.1315511Z 
2025-12-04T09:03:29.1315890Z     To run this example and save the profiling information, execute:
2025-12-04T09:03:29.1317159Z         >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T09:03:29.1318070Z 
2025-12-04T09:03:29.1318528Z     This command profiles the CUDA operations in the provided script and saves
2025-12-04T09:03:29.1319589Z     the profiling information to a file named `trace_name.prof`.
2025-12-04T09:03:29.1320616Z     The `--profile-from-start off` option ensures that profiling starts only
2025-12-04T09:03:29.1321538Z     after the `cudaProfilerStart` call in the script.
2025-12-04T09:03:29.1322442Z     The `--csv` and `--print-summary` options format the profiling output as a
2025-12-04T09:03:29.1323343Z     CSV file and print a summary, respectively.
2025-12-04T09:03:29.1324256Z     The `-o` option specifies the output file name, and the `-f` option forces the
2025-12-04T09:03:29.1325209Z     overwrite of the output file if it already exists.
2025-12-04T09:03:29.1325865Z     
2025-12-04T09:03:29.1327315Z 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))
2025-12-04T09:03:29.1328761Z 
2025-12-04T09:03:29.1329434Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T09:03:29.1330615Z ^
2025-12-04T09:03:30.6799826Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39.
2025-12-04T09:03:30.6801449Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:30.6802155Z 
2025-12-04T09:03:30.6802900Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-12-04T09:03:30.6803917Z maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-12-04T09:03:30.6804926Z pushes the map into PyTorch operations called by ``func``, effectively
2025-12-04T09:03:30.6805767Z vectorizing those operations.
2025-12-04T09:03:30.6806194Z 
2025-12-04T09:03:30.6806596Z vmap is useful for handling batch dimensions: one can write a function
2025-12-04T09:03:30.6807613Z ``func`` that runs on examples and then lift it to a function that can
2025-12-04T09:03:30.6808599Z take batches of examples with ``vmap(func)``. vmap can also be used to
2025-12-04T09:03:30.6809543Z compute batched gradients when composed with autograd.
2025-12-04T09:03:30.6810082Z 
2025-12-04T09:03:30.6810286Z .. note::
2025-12-04T09:03:30.6810817Z     :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-12-04T09:03:30.6811605Z     convenience. Use whichever one you'd like.
2025-12-04T09:03:30.6812073Z 
2025-12-04T09:03:30.6812218Z Args:
2025-12-04T09:03:30.6812821Z     func (function): A Python function that takes one or more arguments.
2025-12-04T09:03:30.6813588Z         Must return one or more Tensors.
2025-12-04T09:03:30.6814361Z     in_dims (int or nested structure): Specifies which dimension of the
2025-12-04T09:03:30.6815284Z         inputs should be mapped over. ``in_dims`` should have a
2025-12-04T09:03:30.6816170Z         structure like the inputs. If the ``in_dim`` for a particular
2025-12-04T09:03:30.6817107Z         input is None, then that indicates there is no map dimension.
2025-12-04T09:03:30.6817861Z         Default: 0.
2025-12-04T09:03:30.6818496Z     out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-12-04T09:03:30.6819438Z         should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-12-04T09:03:30.6820400Z         it should have one element per output. Default: 0.
2025-12-04T09:03:30.6821244Z     randomness (str): Specifies whether the randomness in this
2025-12-04T09:03:30.6822203Z         vmap should be the same or different across batches. If 'different',
2025-12-04T09:03:30.6823200Z         the randomness for each batch will be different. If 'same', the
2025-12-04T09:03:30.6824214Z         randomness will be the same across batches. If 'error', any calls to
2025-12-04T09:03:30.6825255Z         random functions will error. Default: 'error'. WARNING: this flag
2025-12-04T09:03:30.6826247Z         only applies to random PyTorch operations and does not apply to
2025-12-04T09:03:30.6827110Z         Python's random module or numpy randomness.
2025-12-04T09:03:30.6827989Z     chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-12-04T09:03:30.6829052Z         If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-12-04T09:03:30.6830173Z         Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-12-04T09:03:30.6831413Z         If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-12-04T09:03:30.6832178Z 
2025-12-04T09:03:30.6832341Z Returns:
2025-12-04T09:03:30.6832888Z     Returns a new "batched" function. It takes the same inputs as
2025-12-04T09:03:30.6833805Z     ``func``, except each input has an extra dimension at the index
2025-12-04T09:03:30.6834717Z     specified by ``in_dims``. It takes returns the same outputs as
2025-12-04T09:03:30.6835633Z     ``func``, except each output has an extra dimension at the index
2025-12-04T09:03:30.6836364Z     specified by ``out_dims``.
2025-12-04T09:03:30.6836721Z 
2025-12-04T09:03:30.6836871Z .. warning:
2025-12-04T09:03:30.6837462Z     :func:`vmap` works best with functional-style code. Please do not
2025-12-04T09:03:30.6838638Z     perform any side-effects in ``func``, with the exception of
2025-12-04T09:03:30.6839652Z     in-place PyTorch operations. Examples of side-effects include mutating
2025-12-04T09:03:30.6840691Z     Python data structures and assigning values to variables not captured
2025-12-04T09:03:30.6841469Z     in ``func``.
2025-12-04T09:03:30.6841846Z 
2025-12-04T09:03:30.6842254Z One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-12-04T09:03:30.6843241Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-12-04T09:03:30.6844283Z rummaging through docs, use :func:`vmap` to construct a new function.
2025-12-04T09:03:30.6844930Z 
2025-12-04T09:03:30.6845134Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T09:03:30.6845875Z     >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-12-04T09:03:30.6846705Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T09:03:30.6847301Z     >>> batched_dot(x, y)
2025-12-04T09:03:30.6847611Z 
2025-12-04T09:03:30.6848034Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-12-04T09:03:30.6848890Z model authoring experience.
2025-12-04T09:03:30.6849228Z 
2025-12-04T09:03:30.6849438Z     >>> batch_size, feature_size = 3, 5
2025-12-04T09:03:30.6850151Z     >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T09:03:30.6850843Z     >>>
2025-12-04T09:03:30.6851224Z     >>> def model(feature_vec):
2025-12-04T09:03:30.6851784Z     >>> # Very simple linear model with activation
2025-12-04T09:03:30.6852468Z     >>>     return feature_vec.dot(weights).relu()
2025-12-04T09:03:30.6853058Z     >>>
2025-12-04T09:03:30.6853518Z     >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T09:03:30.6854223Z     >>> result = torch.vmap(model)(examples)
2025-12-04T09:03:30.6854617Z 
2025-12-04T09:03:30.6855043Z :func:`vmap` can also help vectorize computations that were previously difficult
2025-12-04T09:03:30.6856078Z or impossible to batch. One example is higher-order gradient computation.
2025-12-04T09:03:30.6856982Z The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-12-04T09:03:30.6858020Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-12-04T09:03:30.6859149Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-12-04T09:03:30.6860389Z we can vectorize the whole computation, computing the Jacobian in a single
2025-12-04T09:03:30.6861216Z call to ``autograd.grad``.
2025-12-04T09:03:30.6861558Z 
2025-12-04T09:03:30.6861714Z     >>> # Setup
2025-12-04T09:03:30.6862086Z     >>> N = 5
2025-12-04T09:03:30.6862429Z     >>> f = lambda x: x**2
2025-12-04T09:03:30.6862939Z     >>> x = torch.randn(N, requires_grad=True)
2025-12-04T09:03:30.6863475Z     >>> y = f(x)
2025-12-04T09:03:30.6863806Z     >>> I_N = torch.eye(N)
2025-12-04T09:03:30.6864069Z     >>>
2025-12-04T09:03:30.6864289Z     >>> # Sequential approach
2025-12-04T09:03:30.6864692Z     >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-12-04T09:03:30.6865135Z     >>>                  for v in I_N.unbind()]
2025-12-04T09:03:30.6865479Z     >>> jacobian = torch.stack(jacobian_rows)
2025-12-04T09:03:30.6865778Z     >>>
2025-12-04T09:03:30.6866010Z     >>> # vectorized gradient computation
2025-12-04T09:03:30.6866330Z     >>> def get_vjp(v):
2025-12-04T09:03:30.6866609Z     >>>     return torch.autograd.grad(y, x, v)
2025-12-04T09:03:30.6866940Z     >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-12-04T09:03:30.6867170Z 
2025-12-04T09:03:30.6867426Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-12-04T09:03:30.6867800Z 
2025-12-04T09:03:30.6867914Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T09:03:30.6868205Z     >>> batched_dot = torch.vmap(
2025-12-04T09:03:30.6868499Z     ...     torch.vmap(torch.dot)
2025-12-04T09:03:30.6868803Z     ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-12-04T09:03:30.6869292Z     >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-12-04T09:03:30.6869649Z     >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-12-04T09:03:30.6869897Z 
2025-12-04T09:03:30.6870130Z If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-12-04T09:03:30.6870636Z the dimension that each inputs are batched along as
2025-12-04T09:03:30.6871033Z 
2025-12-04T09:03:30.6871328Z     >>> torch.dot  # [N], [N] -> []
2025-12-04T09:03:30.6872092Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-12-04T09:03:30.6872899Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T09:03:30.6873446Z     >>> batched_dot(
2025-12-04T09:03:30.6873845Z     ...     x, y
2025-12-04T09:03:30.6874419Z     ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-12-04T09:03:30.6874979Z 
2025-12-04T09:03:30.6875700Z If there are multiple inputs each of which is batched along different dimensions,
2025-12-04T09:03:30.6876785Z ``in_dims`` must be a tuple with the batch dimension for each input as
2025-12-04T09:03:30.6877384Z 
2025-12-04T09:03:30.6877566Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T09:03:30.6878355Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-12-04T09:03:30.6879222Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T09:03:30.6879815Z     >>> batched_dot(
2025-12-04T09:03:30.6880221Z     ...     x, y
2025-12-04T09:03:30.6880802Z     ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-12-04T09:03:30.6881376Z 
2025-12-04T09:03:30.6881808Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-12-04T09:03:30.6882654Z matching the shape of the input:
2025-12-04T09:03:30.6883015Z 
2025-12-04T09:03:30.6883276Z     >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-12-04T09:03:30.6883934Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T09:03:30.6884540Z     >>> input = {"x": x, "y": y}
2025-12-04T09:03:30.6885215Z     >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-12-04T09:03:30.6885930Z     >>> batched_dot(input)
2025-12-04T09:03:30.6886244Z 
2025-12-04T09:03:30.6886745Z By default, the output is batched along the first dimension. However, it can be batched
2025-12-04T09:03:30.6887706Z along any dimension by using ``out_dims``
2025-12-04T09:03:30.6888137Z 
2025-12-04T09:03:30.6888326Z     >>> f = lambda x: x**2
2025-12-04T09:03:30.6888792Z     >>> x = torch.randn(2, 5)
2025-12-04T09:03:30.6889344Z     >>> batched_pow = torch.vmap(f, out_dims=1)
2025-12-04T09:03:30.6889961Z     >>> batched_pow(x)  # [5, 2]
2025-12-04T09:03:30.6890308Z 
2025-12-04T09:03:30.6890830Z For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-12-04T09:03:30.6891761Z accept kwargs
2025-12-04T09:03:30.6892011Z 
2025-12-04T09:03:30.6892185Z     >>> x = torch.randn([2, 5])
2025-12-04T09:03:30.6892695Z     >>> def fn(x, scale=4.):
2025-12-04T09:03:30.6893184Z     >>>   return x * scale
2025-12-04T09:03:30.6893630Z     >>>
2025-12-04T09:03:30.6894037Z     >>> batched_pow = torch.vmap(fn)
2025-12-04T09:03:30.6894644Z     >>> assert torch.allclose(batched_pow(x), x * 4)
2025-12-04T09:03:30.6895525Z     >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-12-04T09:03:30.6896188Z 
2025-12-04T09:03:30.6896360Z .. note::
2025-12-04T09:03:30.6896997Z     vmap does not provide general autobatching or handle variable-length
2025-12-04T09:03:30.6897792Z     sequences out of the box.
2025-12-04T09:03:30.6898140Z 
2025-12-04T09:03:30.6899087Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-12-04T09:03:30.6900432Z 
2025-12-04T09:03:30.6900598Z _._ = None
2025-12-04T09:03:30.6900896Z ^
2025-12-04T09:03:30.6902043Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306.
2025-12-04T09:03:30.6903870Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:30.6905013Z ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-12-04T09:03:30.6906042Z     input(s) specified by ``argnums``. This operator can be nested to
2025-12-04T09:03:30.6906819Z     compute higher-order gradients.
2025-12-04T09:03:30.6907218Z 
2025-12-04T09:03:30.6907508Z     Args:
2025-12-04T09:03:30.6908125Z         func (Callable): A Python function that takes one or more arguments.
2025-12-04T09:03:30.6909213Z             Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-12-04T09:03:30.6910438Z             function can return a tuple of single-element Tensor and other auxiliary objects:
2025-12-04T09:03:30.6911355Z             ``(output, aux)``.
2025-12-04T09:03:30.6912208Z         argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-12-04T09:03:30.6913256Z             ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-12-04T09:03:30.6914240Z         has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-12-04T09:03:30.6915144Z             auxiliary objects: ``(output, aux)``. Default: False.
2025-12-04T09:03:30.6915633Z 
2025-12-04T09:03:30.6915794Z     Returns:
2025-12-04T09:03:30.6916537Z         Function to compute gradients with respect to its inputs. By default, the output of
2025-12-04T09:03:30.6917732Z         the function is the gradient tensor(s) with respect to the first argument.
2025-12-04T09:03:30.6918903Z         If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-12-04T09:03:30.6920071Z         is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-12-04T09:03:30.6921013Z         respect to each ``argnums`` value is returned.
2025-12-04T09:03:30.6921498Z 
2025-12-04T09:03:30.6921680Z     Example of using ``grad``:
2025-12-04T09:03:30.6922024Z 
2025-12-04T09:03:30.6922210Z         >>> # xdoctest: +SKIP
2025-12-04T09:03:30.6922712Z         >>> from torch.func import grad
2025-12-04T09:03:30.6923285Z         >>> x = torch.randn([])
2025-12-04T09:03:30.6923814Z         >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-12-04T09:03:30.6924450Z         >>> assert torch.allclose(cos_x, x.cos())
2025-12-04T09:03:30.6925039Z         >>>
2025-12-04T09:03:30.6925460Z         >>> # Second-order gradients
2025-12-04T09:03:30.6926082Z         >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-12-04T09:03:30.6926777Z         >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-12-04T09:03:30.6927222Z 
2025-12-04T09:03:30.6927653Z     When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-12-04T09:03:30.6928277Z 
2025-12-04T09:03:30.6928423Z         >>> # xdoctest: +SKIP
2025-12-04T09:03:30.6928717Z         >>> from torch.func import grad, vmap
2025-12-04T09:03:30.6929063Z         >>> batch_size, feature_size = 3, 5
2025-12-04T09:03:30.6929379Z         >>>
2025-12-04T09:03:30.6929599Z         >>> def model(weights, feature_vec):
2025-12-04T09:03:30.6929949Z         >>> # Very simple linear model with activation
2025-12-04T09:03:30.6930300Z         >>>     assert feature_vec.dim() == 1
2025-12-04T09:03:30.6930633Z         >>>     return feature_vec.dot(weights).relu()
2025-12-04T09:03:30.6930952Z         >>>
2025-12-04T09:03:30.6931216Z         >>> def compute_loss(weights, example, target):
2025-12-04T09:03:30.6931570Z         >>>     y = model(weights, example)
2025-12-04T09:03:30.6931908Z         >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-12-04T09:03:30.6932239Z         >>>
2025-12-04T09:03:30.6932529Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T09:03:30.6932955Z         >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T09:03:30.6933329Z         >>> targets = torch.randn(batch_size)
2025-12-04T09:03:30.6933671Z         >>> inputs = (weights, examples, targets)
2025-12-04T09:03:30.6934234Z         >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-12-04T09:03:30.6935095Z         ...     *inputs
2025-12-04T09:03:30.6935506Z         ... )
2025-12-04T09:03:30.6935723Z 
2025-12-04T09:03:30.6936041Z     Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-12-04T09:03:30.6936559Z 
2025-12-04T09:03:30.6936847Z         >>> # xdoctest: +SKIP
2025-12-04T09:03:30.6937363Z         >>> from torch.func import grad
2025-12-04T09:03:30.6937934Z         >>> def my_loss_func(y, y_pred):
2025-12-04T09:03:30.6938511Z         >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-12-04T09:03:30.6939129Z         >>>    loss = loss_per_sample.mean()
2025-12-04T09:03:30.6939840Z         >>>    return loss, (y_pred, loss_per_sample)
2025-12-04T09:03:30.6940381Z         >>>
2025-12-04T09:03:30.6940827Z         >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-12-04T09:03:30.6941470Z         >>> y_true = torch.rand(4)
2025-12-04T09:03:30.6942028Z         >>> y_preds = torch.rand(4, requires_grad=True)
2025-12-04T09:03:30.6942408Z         >>> out = fn(y_true, y_preds)
2025-12-04T09:03:30.6942855Z         >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-12-04T09:03:30.6943213Z 
2025-12-04T09:03:30.6943330Z     .. note::
2025-12-04T09:03:30.6943630Z         Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-12-04T09:03:30.6943919Z 
2025-12-04T09:03:30.6944062Z         Case 1: Using ``torch.no_grad`` inside a function:
2025-12-04T09:03:30.6944325Z 
2025-12-04T09:03:30.6944422Z             >>> # xdoctest: +SKIP
2025-12-04T09:03:30.6944716Z             >>> def f(x):
2025-12-04T09:03:30.6944971Z             >>>     with torch.no_grad():
2025-12-04T09:03:30.6945282Z             >>>         c = x ** 2
2025-12-04T09:03:30.6945578Z             >>>     return x - c
2025-12-04T09:03:30.6945757Z 
2025-12-04T09:03:30.6945950Z         In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-12-04T09:03:30.6946279Z 
2025-12-04T09:03:30.6946458Z         Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-12-04T09:03:30.6946766Z 
2025-12-04T09:03:30.6946864Z             >>> # xdoctest: +SKIP
2025-12-04T09:03:30.6947163Z             >>> with torch.no_grad():
2025-12-04T09:03:30.6947449Z             >>>     grad(f)(x)
2025-12-04T09:03:30.6947635Z 
2025-12-04T09:03:30.6947860Z         In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-12-04T09:03:30.6948425Z         outer one. This is because ``grad`` is a "function transform": its result
2025-12-04T09:03:30.6948968Z         should not depend on the result of a context manager outside of ``f``.
2025-12-04T09:03:30.6949520Z 
2025-12-04T09:03:30.6949651Z     
2025-12-04T09:03:30.6950777Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-12-04T09:03:30.6951995Z 
2025-12-04T09:03:30.6952167Z _._ = None
2025-12-04T09:03:30.6952506Z ^
2025-12-04T09:03:33.9634396Z 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.
2025-12-04T09:03:33.9635434Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:33.9635979Z Register a FakeTensor implementation for this custom op.
2025-12-04T09:03:33.9636299Z 
2025-12-04T09:03:33.9636540Z         This is necessary to get the operator to work efficiently with torch.compile.
2025-12-04T09:03:33.9636916Z 
2025-12-04T09:03:33.9637131Z         The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-12-04T09:03:33.9637691Z         specifies the behavior of this operator on Tensors that carry no data.
2025-12-04T09:03:33.9638169Z         Given some input Tensors with certain properties
2025-12-04T09:03:33.9638679Z         (sizes/strides/storage_offset/device), it specifies what the properties of
2025-12-04T09:03:33.9639436Z         the output Tensors are.
2025-12-04T09:03:33.9639618Z 
2025-12-04T09:03:33.9639832Z         Please see :func:`torch.library.register_fake` for more details.
2025-12-04T09:03:33.9640145Z 
2025-12-04T09:03:33.9640227Z         Args:
2025-12-04T09:03:33.9640530Z             fn (Callable): The function to register as the FakeTensor
2025-12-04T09:03:33.9640912Z                 implementation.
2025-12-04T09:03:33.9641194Z 
2025-12-04T09:03:33.9641279Z         Examples:
2025-12-04T09:03:33.9641508Z             >>> import torch
2025-12-04T09:03:33.9641787Z             >>> import numpy as np
2025-12-04T09:03:33.9642089Z             >>> from torch import Tensor
2025-12-04T09:03:33.9642371Z             >>>
2025-12-04T09:03:33.9642691Z             >>> # Example 1: an operator without data-dependent output shape
2025-12-04T09:03:33.9643207Z             >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-12-04T09:03:33.9643689Z             >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T09:03:33.9644114Z             >>>     return (x @ weight.t()) + bias
2025-12-04T09:03:33.9644427Z             >>>
2025-12-04T09:03:33.9644649Z             >>> @linear.register_fake
2025-12-04T09:03:33.9644953Z             >>> def _(x, weight, bias):
2025-12-04T09:03:33.9645258Z             >>>     assert x.dim() == 2
2025-12-04T09:03:33.9645571Z             >>>     assert weight.dim() == 2
2025-12-04T09:03:33.9645883Z             >>>     assert bias.dim() == 1
2025-12-04T09:03:33.9646219Z             >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T09:03:33.9646591Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T09:03:33.9646949Z             >>>     assert x.device == weight.device
2025-12-04T09:03:33.9647327Z             >>>     return x.new_empty(x.size(0), weight.size(0))
2025-12-04T09:03:33.9647671Z             >>>
2025-12-04T09:03:33.9647899Z             >>> x = torch.randn(2, 2)
2025-12-04T09:03:33.9648211Z             >>> weight = torch.randn(2, 2)
2025-12-04T09:03:33.9648536Z             >>> bias = torch.randn(2)
2025-12-04T09:03:33.9648860Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:03:33.9649295Z             >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-12-04T09:03:33.9649731Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:03:33.9650218Z             >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-12-04T09:03:33.9650650Z             >>>
2025-12-04T09:03:33.9650955Z             >>> # Example 2: an operator with data-dependent output shape
2025-12-04T09:03:33.9651438Z             >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-12-04T09:03:33.9651851Z             >>> def nonzero(x: Tensor) -> Tensor:
2025-12-04T09:03:33.9652184Z             >>>     x_np = x.cpu().numpy()
2025-12-04T09:03:33.9652527Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T09:03:33.9652905Z             >>>     return torch.tensor(res, device=x.device)
2025-12-04T09:03:33.9653229Z             >>>
2025-12-04T09:03:33.9653469Z             >>> @nonzero.register_fake
2025-12-04T09:03:33.9653771Z             >>> def _(x):
2025-12-04T09:03:33.9654070Z             >>> # Number of nonzero-elements is data-dependent.
2025-12-04T09:03:33.9654494Z             >>> # Since we cannot peek at the data in an abstract impl,
2025-12-04T09:03:33.9654936Z             >>> # we use the ctx object to construct a new symint that
2025-12-04T09:03:33.9655323Z             >>> # represents the data-dependent size.
2025-12-04T09:03:33.9655677Z             >>>     ctx = torch.library.get_ctx()
2025-12-04T09:03:33.9656018Z             >>>     nnz = ctx.new_dynamic_size()
2025-12-04T09:03:33.9656350Z             >>>     shape = [nnz, x.dim()]
2025-12-04T09:03:33.9656696Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T09:03:33.9657057Z             >>>     return result
2025-12-04T09:03:33.9657326Z             >>>
2025-12-04T09:03:33.9657650Z             >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-12-04T09:03:33.9658011Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:03:33.9658406Z             >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-12-04T09:03:33.9658786Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:03:33.9659230Z             >>> assert torch.allclose(out, x.nonzero())
2025-12-04T09:03:33.9659477Z 
2025-12-04T09:03:33.9659648Z         
2025-12-04T09:03:33.9660296Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-12-04T09:03:33.9660928Z 
2025-12-04T09:03:33.9661008Z _._ = None
2025-12-04T09:03:33.9661210Z ^
2025-12-04T09:03:33.9854522Z 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.
2025-12-04T09:03:33.9855522Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-12-04T09:03:33.9855924Z 
2025-12-04T09:03:33.9856160Z Registers a fake kernel based on the given operator profiles. This fake
2025-12-04T09:03:33.9856734Z kernel registration will override any existing fake kernel registrations.
2025-12-04T09:03:33.9857102Z 
2025-12-04T09:03:33.9857306Z The input is a dictionary mapping operator names to a set of operator
2025-12-04T09:03:33.9857869Z profiles, which we will use to generate fake kernels. The operator profiles
2025-12-04T09:03:33.9858399Z are a record of the input and output tensor metadata. Based on this
2025-12-04T09:03:33.9858948Z information we will match a given input to the recorded profile, and return
2025-12-04T09:03:33.9859618Z an output with the same metadata as in the recorded profile. If a profile
2025-12-04T09:03:33.9860101Z doesn't exist then an exception will be thrown.
2025-12-04T09:03:33.9860343Z 
2025-12-04T09:03:33.9860567Z The fake kernel generation is considered unsafe because it relies on the
2025-12-04T09:03:33.9861141Z rigid, pre-defined operator profiles that do not account for potential
2025-12-04T09:03:33.9861723Z variations in output behavior. Specifically, the generated kernels assume a
2025-12-04T09:03:33.9862319Z fixed relationship between input and output ranks. However, in reality, it's
2025-12-04T09:03:33.9862938Z possible that data-dependent operations may produce outputs of different
2025-12-04T09:03:33.9863512Z ranks even when given inputs of the same rank. The generated fake kernels
2025-12-04T09:03:33.9864059Z are inflexible and unable to accommodate these nuances, making them
2025-12-04T09:03:33.9864468Z potentially unsafe.
2025-12-04T09:03:33.9864625Z 
2025-12-04T09:03:33.9864706Z Args:
2025-12-04T09:03:33.9865039Z     op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-12-04T09:03:33.9865557Z         name to a set of operator profiles from which we will generate fake
2025-12-04T09:03:33.9865960Z         kernels.
2025-12-04T09:03:33.9866111Z 
2025-12-04T09:03:33.9866194Z Examples:
2025-12-04T09:03:33.9866311Z 
2025-12-04T09:03:33.9866487Z     >>> # Example: Registering an op-profile from draft-export
2025-12-04T09:03:33.9866846Z     >>> import torch
2025-12-04T09:03:33.9867156Z     >>> from torch.export._draft_export import draft_export
2025-12-04T09:03:33.9867510Z     >>>
2025-12-04T09:03:33.9867809Z     >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-12-04T09:03:33.9868221Z     >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-12-04T09:03:33.9868549Z     >>>     return x + y
2025-12-04T09:03:33.9868778Z     >>>
2025-12-04T09:03:33.9868996Z     >>> class M(torch.nn.Module):
2025-12-04T09:03:33.9869291Z     >>>     def forward(self, a, b):
2025-12-04T09:03:33.9869638Z     >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-12-04T09:03:33.9869973Z     >>>         return res
2025-12-04T09:03:33.9870220Z     >>>
2025-12-04T09:03:33.9870499Z     >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-12-04T09:03:33.9871066Z     >>>
2025-12-04T09:03:33.9871475Z     >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-12-04T09:03:33.9872012Z     >>>     decomp = ep.run_decompositions()
2025-12-04T09:03:33.9872233Z 
2025-12-04T09:03:33.9872237Z 
2025-12-04T09:03:33.9872789Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-12-04T09:03:33.9873385Z 
2025-12-04T09:03:34.7153323Z 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.
2025-12-04T09:03:34.7154526Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:34.7154886Z 
2025-12-04T09:03:34.7155148Z The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-12-04T09:03:34.7155756Z network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-12-04T09:03:34.7156368Z zeroes out the activations based on the mask_fn (or sparsification function)
2025-12-04T09:03:34.7156825Z input by the user.
2025-12-04T09:03:34.7157180Z The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-12-04T09:03:34.7157667Z mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-12-04T09:03:34.7157925Z 
2025-12-04T09:03:34.7158063Z Note::
2025-12-04T09:03:34.7158480Z     The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-12-04T09:03:34.7158922Z 
2025-12-04T09:03:34.7159001Z Args:
2025-12-04T09:03:34.7159214Z     model (nn.Module):
2025-12-04T09:03:34.7159595Z         The model whose layers will be sparsified. The layers that needs to be
2025-12-04T09:03:34.7160162Z         sparsified should be added separately using the register_layer() function
2025-12-04T09:03:34.7160638Z     aggregate_fn (Optional, Callable):
2025-12-04T09:03:34.7161106Z         default aggregate_fn that is used if not specified while registering the layer.
2025-12-04T09:03:34.7161636Z         specifies how inputs should be aggregated over time.
2025-12-04T09:03:34.7162191Z         The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-12-04T09:03:34.7162674Z         Example
2025-12-04T09:03:34.7162978Z             def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-12-04T09:03:34.7163373Z             reduce_fn (Optional, Callable):
2025-12-04T09:03:34.7163855Z                 default reduce_fn that is used if not specified while registering the layer.
2025-12-04T09:03:34.7164464Z                 reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-12-04T09:03:34.7164946Z                 calling agg_fn() on all inputs.
2025-12-04T09:03:34.7165246Z                 Example
2025-12-04T09:03:34.7165594Z             def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-12-04T09:03:34.7166015Z             mask_fn (Optional, Callable):
2025-12-04T09:03:34.7166529Z                 default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-12-04T09:03:34.7167200Z                 calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-12-04T09:03:34.7167665Z                 register_layer().
2025-12-04T09:03:34.7168207Z                 Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-12-04T09:03:34.7168748Z                 arguments.
2025-12-04T09:03:34.7169026Z             features (Optional, list):
2025-12-04T09:03:34.7169366Z                 default selected features to sparsify.
2025-12-04T09:03:34.7169853Z                 If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-12-04T09:03:34.7170329Z                 For example,
2025-12-04T09:03:34.7170749Z             mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-12-04T09:03:34.7171492Z             feature_dim (Optional, int):
2025-12-04T09:03:34.7171965Z                 default dimension of input features. Again, features along this dim will be chosen
2025-12-04T09:03:34.7172459Z                 for sparsification.
2025-12-04T09:03:34.7172759Z             sparse_config (Dict):
2025-12-04T09:03:34.7173260Z                 Default configuration for the mask_fn. This config will be passed
2025-12-04T09:03:34.7173696Z                 with the mask_fn()
2025-12-04T09:03:34.7173887Z 
2025-12-04T09:03:34.7173985Z Example:
2025-12-04T09:03:34.7174187Z     >>> # xdoctest: +SKIP
2025-12-04T09:03:34.7174453Z     >>> model = SomeModel()
2025-12-04T09:03:34.7174867Z     >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-12-04T09:03:34.7175533Z     >>> # Initialize aggregate_fn
2025-12-04T09:03:34.7175855Z     >>> def agg_fn(x, y):
2025-12-04T09:03:34.7176125Z     >>>     return x + y
2025-12-04T09:03:34.7176376Z     >>>
2025-12-04T09:03:34.7176600Z     >>> # Initialize reduce_fn
2025-12-04T09:03:34.7176864Z     >>> def reduce_fn(x):
2025-12-04T09:03:34.7177140Z     >>>     return torch.mean(x, dim=0)
2025-12-04T09:03:34.7177440Z     >>>
2025-12-04T09:03:34.7177639Z     >>> # Initialize mask_fn
2025-12-04T09:03:34.7177917Z     >>> def mask_fn(data):
2025-12-04T09:03:34.7178228Z     >>>     return torch.eye(data.shape).to(data.device)
2025-12-04T09:03:34.7178557Z     >>>
2025-12-04T09:03:34.7178759Z     >>>
2025-12-04T09:03:34.7178997Z     >>> act_sparsifier.register_layer(
2025-12-04T09:03:34.7179305Z     ...     model.some_layer,
2025-12-04T09:03:34.7179653Z     ...     aggregate_fn=agg_fn,
2025-12-04T09:03:34.7179946Z     ...     reduce_fn=reduce_fn,
2025-12-04T09:03:34.7180231Z     ...     mask_fn=mask_fn,
2025-12-04T09:03:34.7180479Z     ... )
2025-12-04T09:03:34.7180682Z     >>>
2025-12-04T09:03:34.7180900Z     >>> # start training process
2025-12-04T09:03:34.7181163Z     >>> for _ in [...]:
2025-12-04T09:03:34.7181404Z     >>> # epoch starts
2025-12-04T09:03:34.7181731Z     >>> # model.forward(), compute_loss() and model.backwards()
2025-12-04T09:03:34.7182087Z     >>> # epoch ends
2025-12-04T09:03:34.7182338Z     >>>     act_sparsifier.step()
2025-12-04T09:03:34.7182634Z     >>> # end training process
2025-12-04T09:03:34.7182907Z     >>> sparsifier.squash_mask()
2025-12-04T09:03:34.7183103Z 
2025-12-04T09:03:34.7183598Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-12-04T09:03:34.7184209Z 
2025-12-04T09:03:34.7184289Z _._ = None
2025-12-04T09:03:34.7184490Z ^
2025-12-04T09:03:35.4479018Z 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.
2025-12-04T09:03:35.4479983Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:35.4480343Z 
2025-12-04T09:03:35.4480618Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-12-04T09:03:35.4481273Z The submesh created consists of the dimensions and the communicators indicated by
2025-12-04T09:03:35.4481741Z ``mesh_dim_names``
2025-12-04T09:03:35.4481880Z 
2025-12-04T09:03:35.4481971Z Args:
2025-12-04T09:03:35.4482307Z     mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-12-04T09:03:35.4482853Z     mesh dimension of the DeviceMesh to create the submesh for.
2025-12-04T09:03:35.4483232Z Returns:
2025-12-04T09:03:35.4483447Z     A :class:`DeviceMesh` object
2025-12-04T09:03:35.4483649Z 
2025-12-04T09:03:35.4483925Z The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-12-04T09:03:35.4484419Z In the first example:
2025-12-04T09:03:35.4484824Z     Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-12-04T09:03:35.4485420Z     Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-12-04T09:03:35.4486230Z     Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-12-04T09:03:35.4486788Z     Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-12-04T09:03:35.4487344Z     Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-12-04T09:03:35.4487989Z     Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-12-04T09:03:35.4488339Z 
2025-12-04T09:03:35.4488432Z In the second example:
2025-12-04T09:03:35.4488858Z     Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-12-04T09:03:35.4489485Z     Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-12-04T09:03:35.4490129Z     Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-12-04T09:03:35.4490771Z     Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-12-04T09:03:35.4491150Z 
2025-12-04T09:03:35.4491282Z Example::
2025-12-04T09:03:35.4491399Z 
2025-12-04T09:03:35.4491502Z     >>> # xdoctest: +SKIP("no rank")
2025-12-04T09:03:35.4491879Z     >>> from torch.distributed.device_mesh import DeviceMesh
2025-12-04T09:03:35.4492248Z     >>>
2025-12-04T09:03:35.4492555Z     >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-12-04T09:03:35.4493012Z     >>> # of cross-host(dim 0), and within-host (dim 1).
2025-12-04T09:03:35.4493508Z     >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T09:03:35.4493978Z     >>> tp_mesh = mesh_2d["tp"]
2025-12-04T09:03:35.4494247Z     >>> dp_mesh = mesh_2d["dp"]
2025-12-04T09:03:35.4494513Z     >>>
2025-12-04T09:03:35.4494723Z     >>> # Initialize a 3D mesh.
2025-12-04T09:03:35.4495160Z     >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-12-04T09:03:35.4495856Z     >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-12-04T09:03:35.4496385Z     >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-12-04T09:03:35.4496707Z     >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-12-04T09:03:35.4496914Z 
2025-12-04T09:03:35.4497580Z 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))
2025-12-04T09:03:35.4498364Z 
2025-12-04T09:03:35.4498599Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T09:03:35.4499077Z                                                                                  ^
2025-12-04T09:03:35.9578438Z 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.
2025-12-04T09:03:35.9579407Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:35.9579874Z 
2025-12-04T09:03:35.9580154Z Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-12-04T09:03:35.9580568Z 
2025-12-04T09:03:35.9580853Z SavePlanners are stateful objects that can be used to customize the whole save process.
2025-12-04T09:03:35.9581261Z 
2025-12-04T09:03:35.9581554Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T09:03:35.9582052Z will be visible to the whole process.
2025-12-04T09:03:35.9582272Z 
2025-12-04T09:03:35.9582540Z A planner subclass can expect the following sequence of calls during save_state_dict:
2025-12-04T09:03:35.9582938Z 
2025-12-04T09:03:35.9583056Z 1) set_up_planner - called on all ranks.
2025-12-04T09:03:35.9583403Z     Signals the start of a checkpoint save.
2025-12-04T09:03:35.9583629Z 
2025-12-04T09:03:35.9583745Z 2) create_local_plan - called on all ranks.
2025-12-04T09:03:35.9584256Z     Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-12-04T09:03:35.9584912Z 
2025-12-04T09:03:35.9585088Z 3) create_global_plan - called on the coordinator rank only.
2025-12-04T09:03:35.9585574Z     Takes the SavePlan from all ranks and make any global decision.
2025-12-04T09:03:35.9593077Z 
2025-12-04T09:03:35.9593285Z 4) finish_plan - called on all ranks.
2025-12-04T09:03:35.9593965Z     This gives each rank a chance to adjust to global planning decisions.
2025-12-04T09:03:35.9594309Z 
2025-12-04T09:03:35.9594466Z 5) resolve_data - called multiple times on each rank
2025-12-04T09:03:35.9594940Z     Lookups a value on the `state_dict` for the storage layer to write.
2025-12-04T09:03:35.9595271Z 
2025-12-04T09:03:35.9595568Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-12-04T09:03:35.9596170Z most changes can be expressed by changes in a single method.
2025-12-04T09:03:35.9596460Z 
2025-12-04T09:03:35.9596582Z There are 3 usual patterns of extension:
2025-12-04T09:03:35.9596828Z 
2025-12-04T09:03:35.9597077Z Rewriting state_dict. This is the simplest way to extend the save process as it
2025-12-04T09:03:35.9597671Z doesn't requite understanding the intrincacies of how SavePlan works:
2025-12-04T09:03:35.9598074Z 
2025-12-04T09:03:35.9598259Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:03:35.9598757Z >>> class RenamePlanner(DefaultSavePlanner):
2025-12-04T09:03:35.9599212Z >>>     def set_up_planner(
2025-12-04T09:03:35.9599481Z >>>         self,
2025-12-04T09:03:35.9599841Z >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T09:03:35.9600483Z >>>         storage_meta: Optional[StorageMeta],
2025-12-04T09:03:35.9600917Z >>>         is_coordinator: bool,
2025-12-04T09:03:35.9601188Z >>>     ) -> None:
2025-12-04T09:03:35.9601442Z >>> # prefix all keys with `foo_``
2025-12-04T09:03:35.9601933Z >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-12-04T09:03:35.9602326Z 
2025-12-04T09:03:35.9602679Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-12-04T09:03:35.9603116Z 
2025-12-04T09:03:35.9603227Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:03:35.9603570Z >>> class FP16Planner(DefaultSavePlanner):
2025-12-04T09:03:35.9603909Z >>>     def create_local_plan(self):
2025-12-04T09:03:35.9604216Z >>>         plan = super().create_local_plan()
2025-12-04T09:03:35.9604545Z >>>         for p in plan:
2025-12-04T09:03:35.9604836Z >>>             if p.tensor_data is not None:
2025-12-04T09:03:35.9605215Z >>>                 p.tensor_data.properties.dtype = torch.float16
2025-12-04T09:03:35.9605568Z >>>         return plan
2025-12-04T09:03:35.9605804Z >>>
2025-12-04T09:03:35.9606077Z >>>     def resolve_data(self, write_item):
2025-12-04T09:03:35.9606422Z >>>         item = super().resolve_data(write_item)
2025-12-04T09:03:35.9606915Z >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-12-04T09:03:35.9607316Z 
2025-12-04T09:03:35.9607650Z Using the global planning step to make central decisions that can't be made individually by each rank
2025-12-04T09:03:35.9608104Z 
2025-12-04T09:03:35.9608225Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:03:35.9608556Z >>> from itertools import zip_longest
2025-12-04T09:03:35.9608872Z >>> from dataclasses import replace
2025-12-04T09:03:35.9609248Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-12-04T09:03:35.9609797Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-12-04T09:03:35.9610306Z >>> # This sample doesn't handle ShardedTensors
2025-12-04T09:03:35.9610669Z >>>     def create_global_plan(self, all_plans):
2025-12-04T09:03:35.9611056Z >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-12-04T09:03:35.9611408Z >>>         items_per_rank = [
2025-12-04T09:03:35.9611728Z >>>             [item for item in items if item is not None]
2025-12-04T09:03:35.9612134Z >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-12-04T09:03:35.9612630Z >>>         ]
2025-12-04T09:03:35.9612845Z >>>         all_plans = [
2025-12-04T09:03:35.9613125Z >>>             replace(plan, items=items)
2025-12-04T09:03:35.9613532Z >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-12-04T09:03:35.9613911Z >>>         ]
2025-12-04T09:03:35.9614256Z >>>         return super().create_global_plan(all_plans)
2025-12-04T09:03:35.9614501Z 
2025-12-04T09:03:35.9614777Z Finally, some planners need to save additional metadata in the checkpoint, this is
2025-12-04T09:03:35.9615416Z accomplished by having each rank contribute their data items in the local plan and
2025-12-04T09:03:35.9615922Z the global planner aggregate them:
2025-12-04T09:03:35.9616136Z 
2025-12-04T09:03:35.9616247Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:03:35.9616620Z >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-12-04T09:03:35.9617000Z >>>     def create_local_plan(self) -> SavePlan:
2025-12-04T09:03:35.9617366Z >>>         plan = super().create_local_plan()
2025-12-04T09:03:35.9617756Z >>>         return replace(plan, planner_data="per-rank-data")
2025-12-04T09:03:35.9618094Z >>>
2025-12-04T09:03:35.9618507Z >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-12-04T09:03:35.9619115Z >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-12-04T09:03:35.9619678Z >>>         merged_data = [p.planner_data for p in global_plan]
2025-12-04T09:03:35.9620111Z >>>         metadata = replace(metadata, planner_data=merged_data)
2025-12-04T09:03:35.9620505Z >>>         return global_plan, metadata
2025-12-04T09:03:35.9620716Z 
2025-12-04T09:03:35.9621247Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-12-04T09:03:35.9621875Z 
2025-12-04T09:03:35.9621959Z _._ = None
2025-12-04T09:03:35.9622163Z ^
2025-12-04T09:03:35.9622871Z 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.
2025-12-04T09:03:35.9623818Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:35.9624170Z 
2025-12-04T09:03:35.9624448Z Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-12-04T09:03:35.9624863Z 
2025-12-04T09:03:35.9625140Z LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-12-04T09:03:35.9625555Z 
2025-12-04T09:03:35.9625825Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T09:03:35.9626335Z will be visible to the whole process.
2025-12-04T09:03:35.9626541Z 
2025-12-04T09:03:35.9626807Z A planner subclass can expect the following sequence of calls during load_state_dict:
2025-12-04T09:03:35.9627203Z 
2025-12-04T09:03:35.9627317Z 1) set_up_planner - called on all ranks.
2025-12-04T09:03:35.9627671Z     Signals the start of loading a checkpoint.
2025-12-04T09:03:35.9627902Z 
2025-12-04T09:03:35.9628032Z 2) create_local_plan - called on all ranks.
2025-12-04T09:03:35.9628530Z     Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-12-04T09:03:35.9628942Z 
2025-12-04T09:03:35.9629119Z 3) create_global_plan - called on the coordinator rank only.
2025-12-04T09:03:35.9629610Z     Takes the LoadPlan from all ranks and make any global decision.
2025-12-04T09:03:35.9629914Z 
2025-12-04T09:03:35.9630064Z 4) load_bytes - called multiple times on each rank
2025-12-04T09:03:35.9630469Z     This is called once per non-tensor value in state_dict.
2025-12-04T09:03:35.9630747Z 
2025-12-04T09:03:35.9630967Z 5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-12-04T09:03:35.9631496Z     They are called in pair for each Tensor value in state_dict.
2025-12-04T09:03:35.9631787Z 
2025-12-04T09:03:35.9632079Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-12-04T09:03:35.9632760Z most changes can be expressed by changes in a single method.
2025-12-04T09:03:35.9633047Z 
2025-12-04T09:03:35.9633188Z There are two usual patterns of extension:
2025-12-04T09:03:35.9633416Z 
2025-12-04T09:03:35.9633675Z Rewriting state_dict. This is the simplest way to extend the load process as it
2025-12-04T09:03:35.9634339Z doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-12-04T09:03:35.9634937Z to keep a reference to the original state_dict as load happens in place so
2025-12-04T09:03:35.9635403Z we need to be able to perform it in place
2025-12-04T09:03:35.9635623Z 
2025-12-04T09:03:35.9635734Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:03:35.9636084Z >>> class RenamePlanner(DefaultLoadPlanner):
2025-12-04T09:03:35.9636422Z >>>     def set_up_planner(
2025-12-04T09:03:35.9636682Z >>>         self,
2025-12-04T09:03:35.9636918Z >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T09:03:35.9637239Z >>>         metadata: Metadata,
2025-12-04T09:03:35.9637525Z >>>         is_coordinator: bool,
2025-12-04T09:03:35.9637791Z >>>     ) -> None:
2025-12-04T09:03:35.9638050Z >>>         self.original_state_dict = state_dict
2025-12-04T09:03:35.9638449Z >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-12-04T09:03:35.9638804Z >>>
2025-12-04T09:03:35.9639032Z >>>         if self.flatten_sharded_tensors:
2025-12-04T09:03:35.9639401Z >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-12-04T09:03:35.9639734Z >>>
2025-12-04T09:03:35.9639948Z >>>         if self.flatten_state_dict:
2025-12-04T09:03:35.9640336Z >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-12-04T09:03:35.9640716Z >>>
2025-12-04T09:03:35.9640921Z >>>         self.state_dict = state_dict
2025-12-04T09:03:35.9641241Z >>>         self.metadata = metadata
2025-12-04T09:03:35.9641566Z >>>         self.is_coordinator = is_coordinator
2025-12-04T09:03:35.9641869Z >>>
2025-12-04T09:03:35.9642101Z >>>     def load_bytes(self, read_item, value):
2025-12-04T09:03:35.9642436Z >>> # Remove the "foo_" prefix
2025-12-04T09:03:35.9642917Z >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-12-04T09:03:35.9643357Z 
2025-12-04T09:03:35.9643361Z 
2025-12-04T09:03:35.9643616Z Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-12-04T09:03:35.9643996Z 
2025-12-04T09:03:35.9644104Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:03:35.9644469Z >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-12-04T09:03:35.9644837Z >>>     def resolve_tensor(self, read_item):
2025-12-04T09:03:35.9645187Z >>>         tensor = super().resolve_tensor(read_item)
2025-12-04T09:03:35.9645570Z >>>         return torch.empty_like(tensor, device="cpu")
2025-12-04T09:03:35.9645893Z >>>
2025-12-04T09:03:35.9646129Z >>>     def commit_tensor(self, read_item, tensor):
2025-12-04T09:03:35.9646525Z >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-12-04T09:03:35.9646785Z 
2025-12-04T09:03:35.9647319Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-12-04T09:03:35.9647950Z 
2025-12-04T09:03:35.9648032Z _._ = None
2025-12-04T09:03:35.9648241Z ^
2025-12-04T09:03:36.2329944Z 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.
2025-12-04T09:03:36.2330919Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:36.2331282Z 
2025-12-04T09:03:36.2331497Z ``FullStateDictConfig`` is a config class meant to be used with
2025-12-04T09:03:36.2331994Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-12-04T09:03:36.2332499Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-12-04T09:03:36.2333032Z dicts to save GPU memory and CPU memory, respectively. This config class
2025-12-04T09:03:36.2333782Z is meant to be used via the :func:`state_dict_type` context manager as
2025-12-04T09:03:36.2334168Z follows:
2025-12-04T09:03:36.2334299Z 
2025-12-04T09:03:36.2334423Z     >>> # xdoctest: +SKIP("undefined variables")
2025-12-04T09:03:36.2334895Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-12-04T09:03:36.2335462Z     >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-12-04T09:03:36.2335914Z     >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-12-04T09:03:36.2336447Z     >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-12-04T09:03:36.2336890Z     >>>     state = fsdp.state_dict()
2025-12-04T09:03:36.2337291Z     >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-12-04T09:03:36.2337851Z     >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-12-04T09:03:36.2338433Z     >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-12-04T09:03:36.2338880Z     >>> if dist.get_rank() == 0:
2025-12-04T09:03:36.2339256Z     >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-12-04T09:03:36.2339774Z     >>>     state_dict = torch.load("my_checkpoint.pt")
2025-12-04T09:03:36.2340144Z     >>>     model.load_state_dict(state_dict)
2025-12-04T09:03:36.2340587Z     >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-12-04T09:03:36.2341174Z     >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-12-04T09:03:36.2341620Z     >>> fsdp = FSDP(
2025-12-04T09:03:36.2341845Z     ...     model,
2025-12-04T09:03:36.2342107Z     ...     device_id=torch.cuda.current_device(),
2025-12-04T09:03:36.2342448Z     ...     auto_wrap_policy=...,
2025-12-04T09:03:36.2342733Z     ...     sync_module_states=True,
2025-12-04T09:03:36.2343021Z     ... )
2025-12-04T09:03:36.2343348Z     >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-12-04T09:03:36.2343675Z 
2025-12-04T09:03:36.2343770Z Attributes:
2025-12-04T09:03:36.2344079Z     rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-12-04T09:03:36.2344595Z         dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-12-04T09:03:36.2345065Z         ranks save the full state dict. (Default: ``False``)
2025-12-04T09:03:36.2345335Z 
2025-12-04T09:03:36.2345821Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-12-04T09:03:36.2346424Z 
2025-12-04T09:03:36.2346510Z _._ = None
2025-12-04T09:03:36.2346713Z ^
2025-12-04T09:03:38.4501018Z 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.
2025-12-04T09:03:38.4502062Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:38.4502610Z Register a parametrization to a tensor in a module.
2025-12-04T09:03:38.4502888Z 
2025-12-04T09:03:38.4503154Z     Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-12-04T09:03:38.4503824Z     the module will return the parametrized version ``parametrization(module.weight)``.
2025-12-04T09:03:38.4504480Z     If the original tensor requires a gradient, the backward pass will differentiate
2025-12-04T09:03:38.4505146Z     through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-12-04T09:03:38.4505547Z 
2025-12-04T09:03:38.4505866Z     The first time that a module registers a parametrization, this function will add an attribute
2025-12-04T09:03:38.4506528Z     ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-12-04T09:03:38.4506878Z 
2025-12-04T09:03:38.4507126Z     The list of parametrizations on the tensor ``weight`` will be accessible under
2025-12-04T09:03:38.4507621Z     ``module.parametrizations.weight``.
2025-12-04T09:03:38.4508132Z 
2025-12-04T09:03:38.4508278Z     The original tensor will be accessible under
2025-12-04T09:03:38.4508656Z     ``module.parametrizations.weight.original``.
2025-12-04T09:03:38.4508922Z 
2025-12-04T09:03:38.4509180Z     Parametrizations may be concatenated by registering several parametrizations
2025-12-04T09:03:38.4509664Z     on the same attribute.
2025-12-04T09:03:38.4509933Z 
2025-12-04T09:03:38.4510188Z     The training mode of a registered parametrization is updated on registration
2025-12-04T09:03:38.4510667Z     to match the training mode of the host module
2025-12-04T09:03:38.4510919Z 
2025-12-04T09:03:38.4511216Z     Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-12-04T09:03:38.4511765Z     using the context manager :func:`cached`.
2025-12-04T09:03:38.4511991Z 
2025-12-04T09:03:38.4512243Z     A :attr:`parametrization` may optionally implement a method with signature
2025-12-04T09:03:38.4512595Z 
2025-12-04T09:03:38.4512735Z     .. code-block:: python
2025-12-04T09:03:38.4512915Z 
2025-12-04T09:03:38.4513128Z         def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-12-04T09:03:38.4513453Z 
2025-12-04T09:03:38.4513717Z     This method is called on the unparametrized tensor when the first parametrization
2025-12-04T09:03:38.4514306Z     is registered to compute the initial value of the original tensor.
2025-12-04T09:03:38.4514921Z     If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-12-04T09:03:38.4515355Z 
2025-12-04T09:03:38.4515660Z     If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-12-04T09:03:38.4516377Z     to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-12-04T09:03:38.4516773Z 
2025-12-04T09:03:38.4517006Z     It is possible for the first parametrization to depend on several inputs.
2025-12-04T09:03:38.4517574Z     This may be implemented returning a tuple of tensors from ``right_inverse``
2025-12-04T09:03:38.4518164Z     (see the example implementation of a ``RankOne`` parametrization below).
2025-12-04T09:03:38.4518506Z 
2025-12-04T09:03:38.4518844Z     In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-12-04T09:03:38.4519419Z     with names ``original0``, ``original1``,...
2025-12-04T09:03:38.4519649Z 
2025-12-04T09:03:38.4519738Z     .. note::
2025-12-04T09:03:38.4519873Z 
2025-12-04T09:03:38.4520135Z         If unsafe=False (default) both the forward and right_inverse methods will be called
2025-12-04T09:03:38.4520658Z         once to perform a number of consistency checks.
2025-12-04T09:03:38.4521162Z         If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-12-04T09:03:38.4521664Z         and nothing will be called otherwise.
2025-12-04T09:03:38.4521898Z 
2025-12-04T09:03:38.4521982Z     .. note::
2025-12-04T09:03:38.4522105Z 
2025-12-04T09:03:38.4522321Z         In most situations, ``right_inverse`` will be a function such that
2025-12-04T09:03:38.4522748Z         ``forward(right_inverse(X)) == X`` (see
2025-12-04T09:03:38.4523263Z         `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-12-04T09:03:38.4523910Z         Sometimes, when the parametrization is not surjective, it may be reasonable
2025-12-04T09:03:38.4524360Z         to relax this.
2025-12-04T09:03:38.4524525Z 
2025-12-04T09:03:38.4524729Z     .. warning::
2025-12-04T09:03:38.4524873Z 
2025-12-04T09:03:38.4525141Z         If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-12-04T09:03:38.4525782Z         will register a number of new parameters. If such parametrization is registered
2025-12-04T09:03:38.4526410Z         after the optimizer is created, these new parameters will need to be added manually
2025-12-04T09:03:38.4526989Z         to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-12-04T09:03:38.4527398Z 
2025-12-04T09:03:38.4527493Z     Args:
2025-12-04T09:03:38.4527824Z         module (nn.Module): module on which to register the parametrization
2025-12-04T09:03:38.4528354Z         tensor_name (str): name of the parameter or buffer on which to register
2025-12-04T09:03:38.4528790Z             the parametrization
2025-12-04T09:03:38.4529183Z         parametrization (nn.Module): the parametrization to register
2025-12-04T09:03:38.4529644Z     Keyword args:
2025-12-04T09:03:38.4530003Z         unsafe (bool): a boolean flag that denotes whether the parametrization
2025-12-04T09:03:38.4530525Z             may change the dtype and shape of the tensor. Default: `False`
2025-12-04T09:03:38.4531086Z             Warning: the parametrization is not checked for consistency upon registration.
2025-12-04T09:03:38.4531589Z             Enable this flag at your own risk.
2025-12-04T09:03:38.4531823Z 
2025-12-04T09:03:38.4531905Z     Raises:
2025-12-04T09:03:38.4532313Z         ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-12-04T09:03:38.4532716Z 
2025-12-04T09:03:38.4532799Z     Examples:
2025-12-04T09:03:38.4533076Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-12-04T09:03:38.4533424Z         >>> import torch
2025-12-04T09:03:38.4533677Z         >>> import torch.nn as nn
2025-12-04T09:03:38.4534003Z         >>> import torch.nn.utils.parametrize as P
2025-12-04T09:03:38.4534336Z         >>>
2025-12-04T09:03:38.4534551Z         >>> class Symmetric(nn.Module):
2025-12-04T09:03:38.4534869Z         >>>     def forward(self, X):
2025-12-04T09:03:38.4535241Z         >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-12-04T09:03:38.4535616Z         >>>
2025-12-04T09:03:38.4535829Z         >>>     def right_inverse(self, A):
2025-12-04T09:03:38.4536147Z         >>>         return A.triu()
2025-12-04T09:03:38.4536422Z         >>>
2025-12-04T09:03:38.4536625Z         >>> m = nn.Linear(5, 5)
2025-12-04T09:03:38.4536972Z         >>> P.register_parametrization(m, "weight", Symmetric())
2025-12-04T09:03:38.4537490Z         >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-12-04T09:03:38.4537919Z         True
2025-12-04T09:03:38.4538140Z         >>> A = torch.rand(5, 5)
2025-12-04T09:03:38.4538434Z         >>> A = A + A.T  # A is now symmetric
2025-12-04T09:03:38.4538849Z         >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-12-04T09:03:38.4539270Z         >>> print(torch.allclose(m.weight, A))
2025-12-04T09:03:38.4539709Z         True
2025-12-04T09:03:38.4539832Z 
2025-12-04T09:03:38.4539949Z         >>> class RankOne(nn.Module):
2025-12-04T09:03:38.4540246Z         >>>     def forward(self, x, y):
2025-12-04T09:03:38.4540598Z         >>> # Form a rank 1 matrix multiplying two vectors
2025-12-04T09:03:38.4540979Z         >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-12-04T09:03:38.4541293Z         >>>
2025-12-04T09:03:38.4541525Z         >>>     def right_inverse(self, Z):
2025-12-04T09:03:38.4541867Z         >>> # Project Z onto the rank 1 matrices
2025-12-04T09:03:38.4542234Z         >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-12-04T09:03:38.4542620Z         >>> # Return rescaled singular vectors
2025-12-04T09:03:38.4542962Z         >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-12-04T09:03:38.4543341Z         >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-12-04T09:03:38.4543672Z         >>>
2025-12-04T09:03:38.4543934Z         >>> linear_rank_one = P.register_parametrization(
2025-12-04T09:03:38.4544313Z         ...     nn.Linear(4, 4), "weight", RankOne()
2025-12-04T09:03:38.4544615Z         ... )
2025-12-04T09:03:38.4544938Z         >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-12-04T09:03:38.4545337Z         1
2025-12-04T09:03:38.4545450Z 
2025-12-04T09:03:38.4545545Z     
2025-12-04T09:03:38.4546165Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-12-04T09:03:38.4546905Z 
2025-12-04T09:03:38.4546985Z _._ = None
2025-12-04T09:03:38.4547190Z ^
2025-12-04T09:03:38.5582055Z 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.
2025-12-04T09:03:38.5583242Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:38.5583796Z Reduce learning rate when a metric has stopped improving.
2025-12-04T09:03:38.5584082Z 
2025-12-04T09:03:38.5584292Z     Models often benefit from reducing the learning rate by a factor
2025-12-04T09:03:38.5584782Z     of 2-10 once learning stagnates. This scheduler reads a metrics
2025-12-04T09:03:38.5585272Z     quantity and if no improvement is seen for a 'patience' number
2025-12-04T09:03:38.5585699Z     of epochs, the learning rate is reduced.
2025-12-04T09:03:38.5585923Z 
2025-12-04T09:03:38.5586038Z     Args:
2025-12-04T09:03:38.5586288Z         optimizer (Optimizer): Wrapped optimizer.
2025-12-04T09:03:38.5586691Z         mode (str): One of `min`, `max`. In `min` mode, lr will
2025-12-04T09:03:38.5587112Z             be reduced when the quantity monitored has stopped
2025-12-04T09:03:38.5587531Z             decreasing; in `max` mode it will be reduced when the
2025-12-04T09:03:38.5588008Z             quantity monitored has stopped increasing. Default: 'min'.
2025-12-04T09:03:38.5588487Z         factor (float): Factor by which the learning rate will be
2025-12-04T09:03:38.5588911Z             reduced. new_lr = lr * factor. Default: 0.1.
2025-12-04T09:03:38.5589362Z         patience (int): The number of allowed epochs with no improvement after
2025-12-04T09:03:38.5589821Z             which the learning rate will be reduced.
2025-12-04T09:03:38.5590286Z             For example, consider the case of having no patience (`patience = 0`).
2025-12-04T09:03:38.5590974Z             In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-12-04T09:03:38.5591653Z             In the second epoch, if the performance is worse than the baseline,
2025-12-04T09:03:38.5592128Z             we have what is considered an intolerable epoch.
2025-12-04T09:03:38.5592651Z             Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-12-04T09:03:38.5593192Z             the learning rate is reduced at the end of this epoch.
2025-12-04T09:03:38.5593790Z             From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-12-04T09:03:38.5594537Z             if the performance is worse than the baseline. If the performance improves or remains the same,
2025-12-04T09:03:38.5595079Z             the learning rate is not adjusted.
2025-12-04T09:03:38.5595385Z             Default: 10.
2025-12-04T09:03:38.5595732Z         threshold (float): Threshold for measuring the new optimum,
2025-12-04T09:03:38.5596187Z             to only focus on significant changes. Default: 1e-4.
2025-12-04T09:03:38.5596621Z         threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-12-04T09:03:38.5597061Z             dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-12-04T09:03:38.5597488Z             mode or best * ( 1 - threshold ) in `min` mode.
2025-12-04T09:03:38.5597886Z             In `abs` mode, dynamic_threshold = best + threshold in
2025-12-04T09:03:38.5598340Z             `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-12-04T09:03:38.5598802Z         cooldown (int): Number of epochs to wait before resuming
2025-12-04T09:03:38.5599263Z             normal operation after lr has been reduced. Default: 0.
2025-12-04T09:03:38.5599700Z         min_lr (float or list): A scalar or a list of scalars. A
2025-12-04T09:03:38.5600134Z             lower bound on the learning rate of all param groups
2025-12-04T09:03:38.5600537Z             or each group respectively. Default: 0.
2025-12-04T09:03:38.5600939Z         eps (float): Minimal decay applied to lr. If the difference
2025-12-04T09:03:38.5601524Z             between new and old lr is smaller than eps, the update is
2025-12-04T09:03:38.5601918Z             ignored. Default: 1e-8.
2025-12-04T09:03:38.5602112Z 
2025-12-04T09:03:38.5602210Z     Example:
2025-12-04T09:03:38.5602426Z         >>> # xdoctest: +SKIP
2025-12-04T09:03:38.5602893Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-12-04T09:03:38.5603392Z         >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-12-04T09:03:38.5603751Z         >>> for epoch in range(10):
2025-12-04T09:03:38.5604044Z         >>>     train(...)
2025-12-04T09:03:38.5604318Z         >>>     val_loss = validate(...)
2025-12-04T09:03:38.5604666Z         >>> # Note that step should be called after validate()
2025-12-04T09:03:38.5605044Z         >>>     scheduler.step(val_loss)
2025-12-04T09:03:38.5605269Z 
2025-12-04T09:03:38.5605494Z     .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-12-04T09:03:38.5605881Z     
2025-12-04T09:03:38.5606385Z Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-12-04T09:03:38.5606918Z 
2025-12-04T09:03:38.5607020Z     scheduler.step(val_loss)
2025-12-04T09:03:38.5607290Z    ^
2025-12-04T09:03:41.9526030Z running 894 test(s)
2025-12-04T09:03:41.9545799Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file
2025-12-04T09:03:41.9610655Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0
2025-12-04T09:03:41.9611787Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file
2025-12-04T09:03:41.9615882Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0
2025-12-04T09:03:41.9616986Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file
2025-12-04T09:03:41.9624997Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0
2025-12-04T09:03:41.9626155Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file
2025-12-04T09:03:41.9627754Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0
2025-12-04T09:03:41.9629073Z * 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
2025-12-04T09:03:41.9630387Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0
2025-12-04T09:03:41.9631552Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file
2025-12-04T09:03:41.9633749Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0
2025-12-04T09:03:41.9635240Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file
2025-12-04T09:03:41.9636946Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0
2025-12-04T09:03:41.9638112Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file
2025-12-04T09:03:41.9639268Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0
2025-12-04T09:03:41.9640641Z * 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
2025-12-04T09:03:41.9642621Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0
2025-12-04T09:03:41.9644726Z * 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
2025-12-04T09:03:41.9646336Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0
2025-12-04T09:03:41.9647648Z * 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
2025-12-04T09:03:41.9649003Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0
2025-12-04T09:03:41.9650187Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file
2025-12-04T09:03:41.9651314Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0
2025-12-04T09:03:41.9652386Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file
2025-12-04T09:03:41.9653462Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0
2025-12-04T09:03:41.9654549Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file
2025-12-04T09:03:42.0175973Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0
2025-12-04T09:03:42.0178067Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file
2025-12-04T09:03:42.0179410Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0
2025-12-04T09:03:42.0180702Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file
2025-12-04T09:03:42.0386378Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0
2025-12-04T09:03:42.0388670Z * 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
2025-12-04T09:03:42.0823330Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0
2025-12-04T09:03:42.0999903Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file
2025-12-04T09:03:42.1001218Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0
2025-12-04T09:03:42.1002933Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file
2025-12-04T09:03:42.1017004Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0
2025-12-04T09:03:42.1018158Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file
2025-12-04T09:03:42.1033860Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0
2025-12-04T09:03:42.1035017Z * 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
2025-12-04T09:03:42.1214344Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0
2025-12-04T09:03:42.1216594Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file
2025-12-04T09:03:42.1237351Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0
2025-12-04T09:03:42.1239499Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file
2025-12-04T09:03:42.1269299Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0
2025-12-04T09:03:42.1271604Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file
2025-12-04T09:03:42.1299152Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0
2025-12-04T09:03:42.1301575Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file
2025-12-04T09:03:42.1303899Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0
2025-12-04T09:03:42.1306086Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0, line 144 <- wrt source file
2025-12-04T09:03:42.1319028Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0
2025-12-04T09:03:42.1320987Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file
2025-12-04T09:03:42.1398999Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0
2025-12-04T09:03:42.1401154Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file
2025-12-04T09:03:42.1439878Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0
2025-12-04T09:03:42.1442003Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file
2025-12-04T09:03:42.1568318Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0
2025-12-04T09:03:42.1570661Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file
2025-12-04T09:03:42.1584358Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0
2025-12-04T09:03:42.1586596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file
2025-12-04T09:03:42.1656722Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0
2025-12-04T09:03:42.1658966Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file
2025-12-04T09:03:42.1665257Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0
2025-12-04T09:03:42.1667463Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file
2025-12-04T09:03:42.1677469Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0
2025-12-04T09:03:42.1679592Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file
2025-12-04T09:03:42.1693663Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0
2025-12-04T09:03:42.1695785Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file
2025-12-04T09:03:42.1716048Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0
2025-12-04T09:03:42.1718521Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file
2025-12-04T09:03:42.1735961Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0
2025-12-04T09:03:42.1738214Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file
2025-12-04T09:03:42.1761403Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0
2025-12-04T09:03:42.1763523Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file
2025-12-04T09:03:42.1821928Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0
2025-12-04T09:03:42.1824098Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file
2025-12-04T09:03:42.1867452Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0
2025-12-04T09:03:42.1869679Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file
2025-12-04T09:03:42.1871941Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0
2025-12-04T09:03:42.1874115Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file
2025-12-04T09:03:42.1876459Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0
2025-12-04T09:03:42.1878452Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0, line 477 <- wrt source file
2025-12-04T09:03:42.1880401Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0
2025-12-04T09:03:42.1882297Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0, line 537 <- wrt source file
2025-12-04T09:03:42.1884241Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0
2025-12-04T09:03:42.1886119Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0, line 628 <- wrt source file
2025-12-04T09:03:42.1888055Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0
2025-12-04T09:03:42.1890010Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file
2025-12-04T09:03:42.1892088Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0
2025-12-04T09:03:42.1894185Z * 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
2025-12-04T09:03:42.1896406Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0
2025-12-04T09:03:42.1898650Z * 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
2025-12-04T09:03:42.1901282Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0
2025-12-04T09:03:42.1903501Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file
2025-12-04T09:03:42.1905841Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0
2025-12-04T09:03:42.1908177Z * 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
2025-12-04T09:03:42.1910699Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0
2025-12-04T09:03:42.1913015Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file
2025-12-04T09:03:42.1915176Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0
2025-12-04T09:03:42.1917255Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0, line 521 <- wrt source file
2025-12-04T09:03:42.1964366Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0
2025-12-04T09:03:42.1966392Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0, line 627 <- wrt source file
2025-12-04T09:03:42.1983874Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0
2025-12-04T09:03:42.1986369Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file
2025-12-04T09:03:42.1988878Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0
2025-12-04T09:03:42.1991175Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file
2025-12-04T09:03:42.1993612Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0
2025-12-04T09:03:42.1996040Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file
2025-12-04T09:03:42.2241518Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0
2025-12-04T09:03:42.2244078Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file
2025-12-04T09:03:42.2342118Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0
2025-12-04T09:03:42.2344474Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file
2025-12-04T09:03:42.2542837Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0
2025-12-04T09:03:42.2544926Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file
2025-12-04T09:03:42.2546890Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0
2025-12-04T09:03:42.2548872Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file
2025-12-04T09:03:42.2554762Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0
2025-12-04T09:03:42.2556883Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file
2025-12-04T09:03:42.2597189Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0
2025-12-04T09:03:42.2599475Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file
2025-12-04T09:03:42.2603188Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0
2025-12-04T09:03:42.2605477Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file
2025-12-04T09:03:42.2609209Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0
2025-12-04T09:03:42.2611669Z * 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
2025-12-04T09:03:42.2644337Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0
2025-12-04T09:03:42.2646702Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file
2025-12-04T09:03:42.2653230Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0
2025-12-04T09:03:42.2655450Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file
2025-12-04T09:03:42.2657690Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0
2025-12-04T09:03:42.2660051Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file
2025-12-04T09:03:42.2662418Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0
2025-12-04T09:03:42.2664730Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file
2025-12-04T09:03:42.2667056Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0
2025-12-04T09:03:42.2669288Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file
2025-12-04T09:03:42.2671529Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0
2025-12-04T09:03:42.2673835Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file
2025-12-04T09:03:42.2676391Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0
2025-12-04T09:03:42.2678629Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file
2025-12-04T09:03:42.2680795Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0
2025-12-04T09:03:42.2682928Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file
2025-12-04T09:03:42.2685098Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0
2025-12-04T09:03:42.2687468Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file
2025-12-04T09:03:42.2689761Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0
2025-12-04T09:03:42.2692301Z * 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
2025-12-04T09:03:42.2694737Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0
2025-12-04T09:03:42.2697204Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file
2025-12-04T09:03:42.2703564Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0
2025-12-04T09:03:42.2705979Z * 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
2025-12-04T09:03:42.2712025Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0
2025-12-04T09:03:42.2714690Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file
2025-12-04T09:03:42.2734958Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0
2025-12-04T09:03:42.2737505Z * 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
2025-12-04T09:03:42.2740197Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0
2025-12-04T09:03:42.2742669Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file
2025-12-04T09:03:42.2745101Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0
2025-12-04T09:03:42.2747452Z * 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
2025-12-04T09:03:42.2749835Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0
2025-12-04T09:03:42.2752217Z * 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
2025-12-04T09:03:42.6927536Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0
2025-12-04T09:03:42.6929707Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file
2025-12-04T09:03:42.6931743Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0
2025-12-04T09:03:42.6933948Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file
2025-12-04T09:03:42.6936254Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0
2025-12-04T09:03:42.6938494Z * 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
2025-12-04T09:03:42.6941142Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0
2025-12-04T09:03:42.6943385Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file
2025-12-04T09:03:42.6945654Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0
2025-12-04T09:03:42.6948410Z * 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
2025-12-04T09:03:42.6951129Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0
2025-12-04T09:03:42.6953620Z * 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
2025-12-04T09:03:42.6956087Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0
2025-12-04T09:03:42.6958447Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file
2025-12-04T09:03:42.6960761Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0
2025-12-04T09:03:42.6962926Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file
2025-12-04T09:03:42.6965078Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0
2025-12-04T09:03:42.6966938Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file
2025-12-04T09:03:42.6969023Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0
2025-12-04T09:03:42.6971294Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file
2025-12-04T09:03:42.6973597Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0
2025-12-04T09:03:42.6976091Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file
2025-12-04T09:03:42.6978334Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0
2025-12-04T09:03:42.6980786Z * 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
2025-12-04T09:03:42.6983382Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0
2025-12-04T09:03:42.6985874Z * 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
2025-12-04T09:03:42.6988250Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0
2025-12-04T09:03:42.6990697Z * 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
2025-12-04T09:03:42.6993017Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0
2025-12-04T09:03:42.6995357Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file
2025-12-04T09:03:42.6997690Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0
2025-12-04T09:03:42.6999721Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file
2025-12-04T09:03:42.7001400Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0
2025-12-04T09:03:42.7002917Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file
2025-12-04T09:03:42.7004281Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0
2025-12-04T09:03:42.7005605Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file
2025-12-04T09:03:42.7006795Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0
2025-12-04T09:03:42.7007969Z * 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
2025-12-04T09:03:42.7130585Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0
2025-12-04T09:03:42.7143551Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file
2025-12-04T09:03:42.7150899Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0
2025-12-04T09:03:42.7153150Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file
2025-12-04T09:03:42.7237029Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0
2025-12-04T09:03:42.7239373Z * 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
2025-12-04T09:03:42.7246083Z W1204 09:03:42.723000 908 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.
2025-12-04T09:03:42.7265946Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0
2025-12-04T09:03:42.7268311Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file
2025-12-04T09:03:42.7339365Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0
2025-12-04T09:03:42.7341641Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file
2025-12-04T09:03:42.7375115Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0
2025-12-04T09:03:42.7377633Z * 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
2025-12-04T09:03:42.7450315Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0
2025-12-04T09:03:42.7452685Z * 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
2025-12-04T09:03:42.7550540Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0
2025-12-04T09:03:42.7553064Z * 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
2025-12-04T09:03:42.7557189Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0
2025-12-04T09:03:42.7560453Z * 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
2025-12-04T09:03:42.7563255Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0
2025-12-04T09:03:42.7566561Z * 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
2025-12-04T09:03:42.7569780Z * 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
2025-12-04T09:03:42.7572360Z * 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
2025-12-04T09:03:42.7574771Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0
2025-12-04T09:03:42.7577619Z * 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
2025-12-04T09:03:42.7580683Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0
2025-12-04T09:03:42.7583007Z * 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
2025-12-04T09:03:42.7585190Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0
2025-12-04T09:03:42.7587270Z * 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
2025-12-04T09:03:42.7943004Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0
2025-12-04T09:03:42.7945866Z * 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
2025-12-04T09:03:42.7948479Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0
2025-12-04T09:03:42.7950739Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file
2025-12-04T09:03:42.8021090Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0
2025-12-04T09:03:42.8023361Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file
2025-12-04T09:03:42.8156883Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0
2025-12-04T09:03:42.8159276Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file
2025-12-04T09:03:42.9343013Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0
2025-12-04T09:03:42.9419862Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file
2025-12-04T09:03:42.9422226Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0
2025-12-04T09:03:42.9424472Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file
2025-12-04T09:03:42.9444762Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0
2025-12-04T09:03:42.9448038Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file
2025-12-04T09:03:42.9453293Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0
2025-12-04T09:03:42.9455697Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file
2025-12-04T09:03:42.9648274Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0
2025-12-04T09:03:42.9650721Z * 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
2025-12-04T09:03:42.9655015Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0
2025-12-04T09:03:42.9656926Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file
2025-12-04T09:03:42.9658617Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0
2025-12-04T09:03:42.9660685Z * 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
2025-12-04T09:03:42.9662527Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0
2025-12-04T09:03:42.9664053Z * 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
2025-12-04T09:03:42.9665646Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0
2025-12-04T09:03:42.9667624Z * 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
2025-12-04T09:03:42.9669661Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0
2025-12-04T09:03:42.9671794Z * 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
2025-12-04T09:03:42.9674078Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0
2025-12-04T09:03:42.9676093Z * 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
2025-12-04T09:03:42.9677554Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0
2025-12-04T09:03:42.9679371Z * 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
2025-12-04T09:03:42.9681253Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0
2025-12-04T09:03:42.9683054Z * 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
2025-12-04T09:03:42.9685155Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0
2025-12-04T09:03:42.9686611Z * 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
2025-12-04T09:03:42.9688327Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0
2025-12-04T09:03:42.9689682Z * 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
2025-12-04T09:03:42.9690866Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0
2025-12-04T09:03:42.9692084Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file
2025-12-04T09:03:42.9693387Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0
2025-12-04T09:03:42.9694759Z * 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
2025-12-04T09:03:42.9696239Z * 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
2025-12-04T09:03:42.9697665Z * 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
2025-12-04T09:03:42.9699038Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0
2025-12-04T09:03:42.9700482Z * 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
2025-12-04T09:03:42.9701873Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0
2025-12-04T09:03:42.9703212Z * 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
2025-12-04T09:03:42.9704530Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0
2025-12-04T09:03:42.9705910Z * 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
2025-12-04T09:03:42.9707379Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0
2025-12-04T09:03:42.9708829Z * 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
2025-12-04T09:03:42.9710319Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0
2025-12-04T09:03:42.9711823Z * 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
2025-12-04T09:03:42.9713388Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0
2025-12-04T09:03:42.9714891Z * 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
2025-12-04T09:03:42.9716481Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0
2025-12-04T09:03:42.9717989Z * 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
2025-12-04T09:03:42.9719608Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0
2025-12-04T09:03:42.9721167Z * 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
2025-12-04T09:03:42.9722748Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0
2025-12-04T09:03:42.9724108Z * 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
2025-12-04T09:03:43.0121134Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0
2025-12-04T09:03:43.0122477Z * 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
2025-12-04T09:03:43.0230592Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0
2025-12-04T09:03:43.0232274Z * 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
2025-12-04T09:03:43.0233674Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0
2025-12-04T09:03:43.0235054Z * 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
2025-12-04T09:03:43.0444361Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0
2025-12-04T09:03:43.0445756Z * 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
2025-12-04T09:03:43.0657661Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0
2025-12-04T09:03:43.0659429Z * 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
2025-12-04T09:03:43.0660964Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0
2025-12-04T09:03:43.0662357Z * 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
2025-12-04T09:03:43.0663750Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0
2025-12-04T09:03:43.0665106Z * 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
2025-12-04T09:03:43.0757952Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0
2025-12-04T09:03:43.0759251Z * 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
2025-12-04T09:03:43.0766101Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0
2025-12-04T09:03:43.0767454Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file
2025-12-04T09:03:43.0768971Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0
2025-12-04T09:03:43.0770179Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file
2025-12-04T09:03:43.0771382Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0
2025-12-04T09:03:43.0772548Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0, line 460 <- wrt source file
2025-12-04T09:03:43.0773737Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0
2025-12-04T09:03:43.0774946Z * 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
2025-12-04T09:03:43.0828545Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0
2025-12-04T09:03:43.0830195Z * 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
2025-12-04T09:03:43.0831524Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0
2025-12-04T09:03:43.0832818Z * 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
2025-12-04T09:03:43.0889132Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0
2025-12-04T09:03:43.0890425Z * 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
2025-12-04T09:03:43.0893059Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0
2025-12-04T09:03:43.0894349Z * 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
2025-12-04T09:03:43.1005698Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0
2025-12-04T09:03:43.1008088Z * 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
2025-12-04T09:03:43.1069035Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0
2025-12-04T09:03:43.1071478Z * 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
2025-12-04T09:03:43.1124804Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0
2025-12-04T09:03:43.1127305Z * 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
2025-12-04T09:03:43.1129765Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0
2025-12-04T09:03:43.1131464Z * 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
2025-12-04T09:03:43.1189593Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0
2025-12-04T09:03:43.1192367Z * 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
2025-12-04T09:03:43.1195777Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0
2025-12-04T09:03:43.1198312Z * 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
2025-12-04T09:03:43.1203204Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0
2025-12-04T09:03:43.1205673Z * 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
2025-12-04T09:03:43.1208012Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0
2025-12-04T09:03:43.1210130Z * 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
2025-12-04T09:03:43.1213144Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0
2025-12-04T09:03:43.1215561Z * 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
2025-12-04T09:03:43.1218157Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0
2025-12-04T09:03:43.1220624Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file
2025-12-04T09:03:43.1222990Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0
2025-12-04T09:03:43.1225490Z * 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
2025-12-04T09:03:43.1228331Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0
2025-12-04T09:03:43.1230939Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file
2025-12-04T09:03:43.1233230Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0
2025-12-04T09:03:43.1235689Z * 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
2025-12-04T09:03:43.1238281Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0
2025-12-04T09:03:43.1241121Z * 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
2025-12-04T09:03:43.1244226Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0
2025-12-04T09:03:43.1246712Z * 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
2025-12-04T09:03:43.1248538Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0
2025-12-04T09:03:43.1250604Z * 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
2025-12-04T09:03:43.1252466Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0
2025-12-04T09:03:43.1254019Z * 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
2025-12-04T09:03:43.1255585Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0
2025-12-04T09:03:43.1256983Z * 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
2025-12-04T09:03:43.1325574Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0
2025-12-04T09:03:43.1328797Z * 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
2025-12-04T09:03:43.1363686Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0
2025-12-04T09:03:43.1366285Z * 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
2025-12-04T09:03:43.1368765Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0
2025-12-04T09:03:43.1371181Z * 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
2025-12-04T09:03:43.1373615Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0
2025-12-04T09:03:43.1376082Z * 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
2025-12-04T09:03:43.1378605Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0
2025-12-04T09:03:43.1381255Z * 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
2025-12-04T09:03:43.1383699Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0
2025-12-04T09:03:43.1386147Z * 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
2025-12-04T09:03:43.1388800Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0
2025-12-04T09:03:43.1391433Z * 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
2025-12-04T09:03:43.1394184Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0
2025-12-04T09:03:43.1396823Z * 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
2025-12-04T09:03:43.1399531Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0
2025-12-04T09:03:43.1402168Z * 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
2025-12-04T09:03:43.1405164Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0
2025-12-04T09:03:43.1407913Z * 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
2025-12-04T09:03:43.1410827Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0
2025-12-04T09:03:43.1413670Z * 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
2025-12-04T09:03:43.1416580Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0
2025-12-04T09:03:43.1419526Z * 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
2025-12-04T09:03:43.1422512Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0
2025-12-04T09:03:43.1424637Z * 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
2025-12-04T09:03:43.1426114Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0
2025-12-04T09:03:43.1427471Z * 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
2025-12-04T09:03:43.1428849Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0
2025-12-04T09:03:43.1430187Z * 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
2025-12-04T09:03:43.1431565Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0
2025-12-04T09:03:43.1432915Z * 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
2025-12-04T09:03:43.1434338Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0
2025-12-04T09:03:43.1435727Z * 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
2025-12-04T09:03:43.1437151Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0
2025-12-04T09:03:43.1438534Z * 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
2025-12-04T09:03:43.1439930Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0
2025-12-04T09:03:43.1441939Z * 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
2025-12-04T09:03:43.1444196Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0
2025-12-04T09:03:43.1446341Z * 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
2025-12-04T09:03:43.1447840Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0
2025-12-04T09:03:43.1449126Z * 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
2025-12-04T09:03:43.1450497Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0
2025-12-04T09:03:43.1451775Z * 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
2025-12-04T09:03:43.1453065Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0
2025-12-04T09:03:43.1454407Z * 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
2025-12-04T09:03:43.1455822Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0
2025-12-04T09:03:43.1457215Z * 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
2025-12-04T09:03:43.1458638Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0
2025-12-04T09:03:43.1460126Z * 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
2025-12-04T09:03:43.1461540Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0
2025-12-04T09:03:43.1463536Z * 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
2025-12-04T09:03:43.1470003Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0
2025-12-04T09:03:43.1472835Z * 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
2025-12-04T09:03:43.1483709Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0
2025-12-04T09:03:43.1486661Z * 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
2025-12-04T09:03:43.1489865Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0
2025-12-04T09:03:43.1492863Z * 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
2025-12-04T09:03:43.1495850Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0
2025-12-04T09:03:43.1498668Z * 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
2025-12-04T09:03:43.1501364Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0
2025-12-04T09:03:43.1503827Z * 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
2025-12-04T09:03:43.1506281Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0
2025-12-04T09:03:43.1509674Z * 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
2025-12-04T09:03:43.1536735Z * 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
2025-12-04T09:03:43.1540221Z * 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
2025-12-04T09:03:43.1543748Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0
2025-12-04T09:03:43.1546865Z * 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
2025-12-04T09:03:43.1549670Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0
2025-12-04T09:03:43.1552440Z * 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
2025-12-04T09:03:43.1555261Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0
2025-12-04T09:03:43.1557717Z * 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
2025-12-04T09:03:43.1560437Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0
2025-12-04T09:03:43.1562929Z * 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
2025-12-04T09:03:43.1565366Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0
2025-12-04T09:03:43.1568046Z * 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
2025-12-04T09:03:43.1570800Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0
2025-12-04T09:03:43.1573405Z * 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
2025-12-04T09:03:43.1577968Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0
2025-12-04T09:03:43.1580843Z * 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
2025-12-04T09:03:43.1587164Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0
2025-12-04T09:03:43.1589961Z * 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
2025-12-04T09:03:43.1596138Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0
2025-12-04T09:03:43.1598941Z * 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
2025-12-04T09:03:43.1601694Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0
2025-12-04T09:03:43.1604368Z * 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
2025-12-04T09:03:43.1607074Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0
2025-12-04T09:03:43.1609618Z * 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
2025-12-04T09:03:43.1612104Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0
2025-12-04T09:03:43.1614636Z * 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
2025-12-04T09:03:43.1617224Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0
2025-12-04T09:03:43.1619896Z * 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
2025-12-04T09:03:43.1622534Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0
2025-12-04T09:03:43.1625107Z * 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
2025-12-04T09:03:43.1627664Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0
2025-12-04T09:03:43.1630312Z * 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
2025-12-04T09:03:43.1633138Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0
2025-12-04T09:03:43.1636053Z * 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
2025-12-04T09:03:43.1639137Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0
2025-12-04T09:03:43.1641972Z * 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
2025-12-04T09:03:43.1644658Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0
2025-12-04T09:03:43.1647324Z * 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
2025-12-04T09:03:43.1650069Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0
2025-12-04T09:03:43.1652743Z * 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
2025-12-04T09:03:43.1655415Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0
2025-12-04T09:03:43.1657987Z * 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
2025-12-04T09:03:43.1660747Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0
2025-12-04T09:03:43.1663379Z * 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
2025-12-04T09:03:43.1666106Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0
2025-12-04T09:03:43.1668718Z * 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
2025-12-04T09:03:43.1671382Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0
2025-12-04T09:03:43.1674018Z * 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
2025-12-04T09:03:43.1676820Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0
2025-12-04T09:03:43.1679386Z * 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
2025-12-04T09:03:43.1681984Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0
2025-12-04T09:03:43.1684497Z * 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
2025-12-04T09:03:43.1699046Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0
2025-12-04T09:03:43.1701925Z * 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
2025-12-04T09:03:43.1704966Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0
2025-12-04T09:03:43.1707930Z * 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
2025-12-04T09:03:43.1711025Z * 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
2025-12-04T09:03:43.1715046Z * 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
2025-12-04T09:03:43.1718012Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0
2025-12-04T09:03:43.1721385Z * 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
2025-12-04T09:03:43.1725517Z * 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
2025-12-04T09:03:43.1729602Z * 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
2025-12-04T09:03:43.1733579Z * 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
2025-12-04T09:03:43.1737653Z * 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
2025-12-04T09:03:43.1742037Z * 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
2025-12-04T09:03:43.1745976Z * 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
2025-12-04T09:03:43.1750059Z * 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
2025-12-04T09:03:43.1753505Z * 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
2025-12-04T09:03:43.1756592Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0
2025-12-04T09:03:43.1759594Z * 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
2025-12-04T09:03:43.1762637Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0
2025-12-04T09:03:43.1765550Z * 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
2025-12-04T09:03:43.1768516Z * 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
2025-12-04T09:03:43.1771558Z * 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
2025-12-04T09:03:43.1774801Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0
2025-12-04T09:03:43.1777719Z * 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
2025-12-04T09:03:43.1780301Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0
2025-12-04T09:03:43.1782682Z * 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
2025-12-04T09:03:43.1785044Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0
2025-12-04T09:03:43.1787383Z * 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
2025-12-04T09:03:43.1789765Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0
2025-12-04T09:03:43.1792093Z * 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
2025-12-04T09:03:43.1794455Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0
2025-12-04T09:03:43.1796965Z * 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
2025-12-04T09:03:43.1799709Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0
2025-12-04T09:03:43.1802538Z * 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
2025-12-04T09:03:43.1805360Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0
2025-12-04T09:03:43.1807996Z * 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
2025-12-04T09:03:43.1810601Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0
2025-12-04T09:03:43.1813320Z * 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
2025-12-04T09:03:43.1816214Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0
2025-12-04T09:03:43.1819029Z * 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
2025-12-04T09:03:43.1821991Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0
2025-12-04T09:03:43.1824517Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0, line 487 <- wrt source file
2025-12-04T09:03:43.1826820Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0
2025-12-04T09:03:43.1829072Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0, line 300 <- wrt source file
2025-12-04T09:03:43.1831346Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0
2025-12-04T09:03:43.1833549Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0, line 402 <- wrt source file
2025-12-04T09:03:43.1835813Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0
2025-12-04T09:03:43.1838079Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0, line 642 <- wrt source file
2025-12-04T09:03:43.1840443Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0
2025-12-04T09:03:43.1842710Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file
2025-12-04T09:03:43.1845058Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0
2025-12-04T09:03:43.1847316Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file
2025-12-04T09:03:43.1849591Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0
2025-12-04T09:03:43.1851821Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file
2025-12-04T09:03:43.1854078Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0
2025-12-04T09:03:43.1856274Z * 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
2025-12-04T09:03:43.1858534Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0
2025-12-04T09:03:43.1861007Z * 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
2025-12-04T09:03:43.1863431Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0
2025-12-04T09:03:43.1865796Z * 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
2025-12-04T09:03:43.1868260Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0
2025-12-04T09:03:43.1870655Z * 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
2025-12-04T09:03:43.1873095Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0
2025-12-04T09:03:43.1875547Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file
2025-12-04T09:03:43.1877797Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0
2025-12-04T09:03:43.1880117Z * 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
2025-12-04T09:03:43.1882588Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0
2025-12-04T09:03:43.1885018Z * 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
2025-12-04T09:03:43.1887522Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0
2025-12-04T09:03:43.1889954Z * 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
2025-12-04T09:03:43.1892395Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0
2025-12-04T09:03:43.1894724Z * 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
2025-12-04T09:03:43.1897013Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0
2025-12-04T09:03:43.1899423Z * 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
2025-12-04T09:03:43.1902139Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0
2025-12-04T09:03:43.1904696Z * 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
2025-12-04T09:03:43.1907260Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0
2025-12-04T09:03:43.1909852Z * 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
2025-12-04T09:03:43.1912520Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0
2025-12-04T09:03:43.1914980Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file
2025-12-04T09:03:43.1917286Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0
2025-12-04T09:03:43.1919759Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0, line 760 <- wrt source file
2025-12-04T09:03:43.1922328Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0
2025-12-04T09:03:43.1924661Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_itt:0, line 899 <- wrt source file
2025-12-04T09:03:43.1926948Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_itt:0
2025-12-04T09:03:43.1929212Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 972 <- wrt source file
2025-12-04T09:03:43.1931530Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_nvtx:0
2025-12-04T09:03:43.1933847Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file
2025-12-04T09:03:43.1936271Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0
2025-12-04T09:03:43.1938571Z * 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
2025-12-04T09:03:43.1940987Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0
2025-12-04T09:03:43.1943361Z * 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
2025-12-04T09:03:43.1945705Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0
2025-12-04T09:03:43.1947867Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file
2025-12-04T09:03:43.1949960Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0
2025-12-04T09:03:43.1952131Z * 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
2025-12-04T09:03:43.1954465Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0
2025-12-04T09:03:43.1956752Z * 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
2025-12-04T09:03:43.1959089Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1
2025-12-04T09:03:43.1961367Z * 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
2025-12-04T09:03:43.1963706Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2
2025-12-04T09:03:43.1966135Z * 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
2025-12-04T09:03:43.1968749Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0
2025-12-04T09:03:43.1971107Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file
2025-12-04T09:03:43.1973311Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0
2025-12-04T09:03:43.1975986Z * 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
2025-12-04T09:03:43.1978798Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0
2025-12-04T09:03:43.1981790Z * 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
2025-12-04T09:03:43.1984543Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0
2025-12-04T09:03:43.1987256Z * 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
2025-12-04T09:03:43.1990072Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0
2025-12-04T09:03:43.1992708Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 167 <- wrt source file
2025-12-04T09:03:43.1995182Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0
2025-12-04T09:03:43.1997793Z * 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
2025-12-04T09:03:43.2000592Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0
2025-12-04T09:03:43.2003234Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1317 <- wrt source file
2025-12-04T09:03:43.2005841Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0
2025-12-04T09:03:43.2008504Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2652 <- wrt source file
2025-12-04T09:03:43.2011303Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0
2025-12-04T09:03:43.2013985Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0, line 2754 <- wrt source file
2025-12-04T09:03:43.2016696Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0
2025-12-04T09:03:43.2019351Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::batch_isend_irecv:0, line 2801 <- wrt source file
2025-12-04T09:03:43.2022198Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::batch_isend_irecv:0
2025-12-04T09:03:43.2024796Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_reduce:0, line 2938 <- wrt source file
2025-12-04T09:03:43.2027399Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_reduce:0
2025-12-04T09:03:43.2030010Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0, line 3221 <- wrt source file
2025-12-04T09:03:43.2032751Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0
2025-12-04T09:03:43.2035409Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::gather_object:0, line 3325 <- wrt source file
2025-12-04T09:03:43.2038206Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::gather_object:0
2025-12-04T09:03:43.2040913Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0, line 3457 <- wrt source file
2025-12-04T09:03:43.2043635Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0
2025-12-04T09:03:43.2046315Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0, line 3574 <- wrt source file
2025-12-04T09:03:43.2049030Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0
2025-12-04T09:03:43.2051778Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0, line 3719 <- wrt source file
2025-12-04T09:03:43.2054606Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0
2025-12-04T09:03:43.2057384Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0, line 3844 <- wrt source file
2025-12-04T09:03:43.2060240Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0
2025-12-04T09:03:43.2062897Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0, line 3947 <- wrt source file
2025-12-04T09:03:43.2065500Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0
2025-12-04T09:03:43.2068155Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 4054 <- wrt source file
2025-12-04T09:03:43.2071005Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0
2025-12-04T09:03:43.2073782Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 4192 <- wrt source file
2025-12-04T09:03:43.2076766Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0
2025-12-04T09:03:43.2079379Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::gather:0, line 4298 <- wrt source file
2025-12-04T09:03:43.2081912Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::gather:0
2025-12-04T09:03:43.2084431Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::scatter:0, line 4383 <- wrt source file
2025-12-04T09:03:43.2087004Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::scatter:0
2025-12-04T09:03:43.2089650Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0, line 4521 <- wrt source file
2025-12-04T09:03:43.2092496Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0
2025-12-04T09:03:43.2095243Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all_single:0, line 4663 <- wrt source file
2025-12-04T09:03:43.2098159Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all_single:0
2025-12-04T09:03:43.2100831Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all:0, line 4797 <- wrt source file
2025-12-04T09:03:43.2103540Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all:0
2025-12-04T09:03:43.2106211Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0, line 5009 <- wrt source file
2025-12-04T09:03:43.2108981Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0
2025-12-04T09:03:43.2111631Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0, line 5562 <- wrt source file
2025-12-04T09:03:43.2114308Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0
2025-12-04T09:03:43.2117074Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::new_subgroups_by_enumeration:0, line 5656 <- wrt source file
2025-12-04T09:03:43.2120049Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::new_subgroups_by_enumeration:0
2025-12-04T09:03:43.2122585Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/launch.py::__doc__:0, line 84 <- wrt source file
2025-12-04T09:03:43.2124872Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/launch.py::__doc__:0
2025-12-04T09:03:43.2127070Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/run.py::__doc__:0, line 57 <- wrt source file
2025-12-04T09:03:43.2129288Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/run.py::__doc__:0
2025-12-04T09:03:43.2131616Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/autograd/__init__.py::context:0, line 47 <- wrt source file
2025-12-04T09:03:43.2134142Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/autograd/__init__.py::context:0
2025-12-04T09:03:43.2136844Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0, line 53 <- wrt source file
2025-12-04T09:03:43.2139906Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0
2025-12-04T09:03:43.2142653Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/contract.py::contract:0, line 67 <- wrt source file
2025-12-04T09:03:43.2145300Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/contract.py::contract:0
2025-12-04T09:03:43.2147943Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/replicate.py::replicate:0, line 190 <- wrt source file
2025-12-04T09:03:43.2150634Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/replicate.py::replicate:0
2025-12-04T09:03:43.2153340Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/replicate_with_fsdp.py::replicate:0, line 265 <- wrt source file
2025-12-04T09:03:43.2156198Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/replicate_with_fsdp.py::replicate:0
2025-12-04T09:03:43.2159280Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0, line 31 <- wrt source file
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2025-12-04T09:03:43.2299485Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0, line 55 <- wrt source file
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2025-12-04T09:03:43.2304860Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/join.py::Join:0, line 141 <- wrt source file
2025-12-04T09:03:43.2307345Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/join.py::Join:0
2025-12-04T09:03:43.2310098Z * 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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2025-12-04T09:03:43.2381706Z * 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
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2025-12-04T09:03:43.2388658Z * 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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2025-12-04T09:03:43.2402677Z * 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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2025-12-04T09:03:43.2408933Z * 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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2025-12-04T09:03:43.2418498Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0
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2025-12-04T09:03:43.2427138Z * 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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2025-12-04T09:03:43.2510395Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/events/__init__.py::construct_and_record_rdzv_event:0
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2025-12-04T09:03:43.2586238Z * 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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2025-12-04T09:03:43.2593189Z * 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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2025-12-04T09:03:43.2598802Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0, line 227 <- wrt source file
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2025-12-04T09:03:43.2603946Z * 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
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2025-12-04T09:03:43.2609435Z * 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
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2025-12-04T09:03:43.2627164Z * 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
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2025-12-04T09:03:43.2639933Z * 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
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2025-12-04T09:03:43.2651353Z * 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
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2025-12-04T09:03:43.2663284Z * 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
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2025-12-04T09:03:43.2669474Z * 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
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2025-12-04T09:03:43.2674720Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0, line 36 <- wrt source file
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2025-12-04T09:03:43.2680656Z * 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
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2025-12-04T09:03:43.2686825Z * 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
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2025-12-04T09:03:43.2692550Z * 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
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2025-12-04T09:03:43.2711234Z * 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
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2025-12-04T09:03:43.2716041Z * 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
2025-12-04T09:03:43.2718705Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/functions.py::async_execution:0
2025-12-04T09:03:43.2721607Z * 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
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2025-12-04T09:03:43.2734438Z * 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
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2025-12-04T09:03:43.2742464Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::ShardOrderEntry:0
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2025-12-04T09:03:43.2771217Z * 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
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2025-12-04T09:03:43.2777014Z * 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
2025-12-04T09:03:43.2779976Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_func_map.py::local_map:0
2025-12-04T09:03:43.2783006Z * 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
2025-12-04T09:03:43.2786253Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_register_sharding.py::register_sharding:0
2025-12-04T09:03:43.2789828Z * 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
2025-12-04T09:03:43.2793709Z * 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
2025-12-04T09:03:43.2797535Z * 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
2025-12-04T09:03:43.2801513Z * 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
2025-12-04T09:03:43.2805549Z * 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
2025-12-04T09:03:43.2809714Z * 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
2025-12-04T09:03:43.2813618Z * 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
2025-12-04T09:03:43.2817506Z * 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
2025-12-04T09:03:43.2821362Z * 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
2025-12-04T09:03:43.2825250Z * 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
2025-12-04T09:03:43.2828538Z * 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
2025-12-04T09:03:43.2831385Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0
2025-12-04T09:03:43.2834229Z * 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
2025-12-04T09:03:43.2837191Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0
2025-12-04T09:03:43.2840012Z * 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
2025-12-04T09:03:43.2842789Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0
2025-12-04T09:03:43.2845578Z * 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
2025-12-04T09:03:43.2848452Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0
2025-12-04T09:03:43.2851258Z * 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
2025-12-04T09:03:43.2854218Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0
2025-12-04T09:03:43.2857139Z * 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
2025-12-04T09:03:43.2860090Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0
2025-12-04T09:03:43.2862973Z * 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
2025-12-04T09:03:43.2865923Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0
2025-12-04T09:03:43.2868817Z * 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
2025-12-04T09:03:43.2871792Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0
2025-12-04T09:03:43.2874797Z * 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
2025-12-04T09:03:43.2878029Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0
2025-12-04T09:03:43.2880756Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file
2025-12-04T09:03:43.2883231Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0
2025-12-04T09:03:43.2885545Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file
2025-12-04T09:03:43.2887809Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0
2025-12-04T09:03:43.2890132Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file
2025-12-04T09:03:43.2892562Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0
2025-12-04T09:03:43.2895036Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file
2025-12-04T09:03:43.2897627Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0
2025-12-04T09:03:43.2900133Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file
2025-12-04T09:03:43.2902466Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0
2025-12-04T09:03:43.2904703Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file
2025-12-04T09:03:43.2906946Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0
2025-12-04T09:03:43.2909323Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file
2025-12-04T09:03:43.2911900Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0
2025-12-04T09:03:43.2914710Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file
2025-12-04T09:03:43.2917457Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0
2025-12-04T09:03:43.2920364Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file
2025-12-04T09:03:43.2923324Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0
2025-12-04T09:03:43.2925971Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file
2025-12-04T09:03:43.2928457Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0
2025-12-04T09:03:43.2930948Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file
2025-12-04T09:03:43.2933550Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0
2025-12-04T09:03:43.2936163Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file
2025-12-04T09:03:43.2938897Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0
2025-12-04T09:03:43.2941386Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file
2025-12-04T09:03:43.2943678Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0
2025-12-04T09:03:43.2946227Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file
2025-12-04T09:03:43.2949112Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0
2025-12-04T09:03:43.2951725Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file
2025-12-04T09:03:43.2954202Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0
2025-12-04T09:03:43.2956560Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file
2025-12-04T09:03:43.2958831Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0
2025-12-04T09:03:43.2961251Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file
2025-12-04T09:03:43.2963812Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0
2025-12-04T09:03:43.2966294Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file
2025-12-04T09:03:43.2968806Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0
2025-12-04T09:03:43.2971347Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file
2025-12-04T09:03:43.2973961Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0
2025-12-04T09:03:43.2976805Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file
2025-12-04T09:03:43.2979705Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0
2025-12-04T09:03:43.2982295Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file
2025-12-04T09:03:43.2984884Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0
2025-12-04T09:03:43.2987333Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file
2025-12-04T09:03:43.2989731Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0
2025-12-04T09:03:43.2992156Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file
2025-12-04T09:03:43.2994747Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0
2025-12-04T09:03:43.2997204Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file
2025-12-04T09:03:43.2999675Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0
2025-12-04T09:03:43.3002218Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file
2025-12-04T09:03:43.3004933Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0
2025-12-04T09:03:43.3007852Z * 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
2025-12-04T09:03:43.3011092Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0
2025-12-04T09:03:43.3014057Z * 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
2025-12-04T09:03:43.3016905Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0
2025-12-04T09:03:43.3019645Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file
2025-12-04T09:03:43.3022234Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0
2025-12-04T09:03:43.3024946Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file
2025-12-04T09:03:43.3027864Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0
2025-12-04T09:03:43.3030417Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file
2025-12-04T09:03:43.3032746Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0
2025-12-04T09:03:43.3035290Z * 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
2025-12-04T09:03:43.3038299Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0
2025-12-04T09:03:43.3040923Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file
2025-12-04T09:03:43.3043276Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0
2025-12-04T09:03:43.3045585Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file
2025-12-04T09:03:43.3047972Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0
2025-12-04T09:03:43.3050514Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file
2025-12-04T09:03:43.3053341Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0
2025-12-04T09:03:43.3056245Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file
2025-12-04T09:03:43.3059303Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0
2025-12-04T09:03:43.3062025Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file
2025-12-04T09:03:43.3064463Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0
2025-12-04T09:03:43.3066952Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file
2025-12-04T09:03:43.3069559Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0
2025-12-04T09:03:43.3072127Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1190 <- wrt source file
2025-12-04T09:03:43.3074777Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0
2025-12-04T09:03:43.3077736Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1268 <- wrt source file
2025-12-04T09:03:43.3080819Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0
2025-12-04T09:03:43.3083469Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file
2025-12-04T09:03:43.3085862Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0
2025-12-04T09:03:43.3088232Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file
2025-12-04T09:03:43.3090640Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0
2025-12-04T09:03:43.3093027Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file
2025-12-04T09:03:43.3095447Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0
2025-12-04T09:03:43.3097993Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file
2025-12-04T09:03:43.3100463Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0
2025-12-04T09:03:43.3102879Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file
2025-12-04T09:03:43.3105251Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0
2025-12-04T09:03:43.3107658Z * 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
2025-12-04T09:03:43.3110212Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0
2025-12-04T09:03:43.3112622Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 123 <- wrt source file
2025-12-04T09:03:43.3114921Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0
2025-12-04T09:03:43.3117308Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 737 <- wrt source file
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2025-12-04T09:03:43.3122428Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 753 <- wrt source file
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2025-12-04T09:03:43.3127521Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0, line 837 <- wrt source file
2025-12-04T09:03:43.3130077Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0
2025-12-04T09:03:43.3132364Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::_snake_case:0, line 104 <- wrt source file
2025-12-04T09:03:43.3134498Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::_snake_case:0
2025-12-04T09:03:43.3136768Z * 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
2025-12-04T09:03:43.3139211Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0
2025-12-04T09:03:43.3141653Z * 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
2025-12-04T09:03:43.3144023Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.on_generate_code:0
2025-12-04T09:03:43.3146320Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Interpreter:0, line 75 <- wrt source file
2025-12-04T09:03:43.3148641Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Interpreter:0
2025-12-04T09:03:43.3150918Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Transformer:0, line 519 <- wrt source file
2025-12-04T09:03:43.3153221Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Transformer:0
2025-12-04T09:03:43.3155656Z * 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
2025-12-04T09:03:43.3158157Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0
2025-12-04T09:03:43.3160547Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::TensorType:0, line 12 <- wrt source file
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2025-12-04T09:03:43.3165043Z * 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
2025-12-04T09:03:43.3167349Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_consistent:0
2025-12-04T09:03:43.3169619Z * 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
2025-12-04T09:03:43.3171941Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_more_precise:0
2025-12-04T09:03:43.3174183Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate:0, line 300 <- wrt source file
2025-12-04T09:03:43.3176499Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate:0
2025-12-04T09:03:43.3178700Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate_fn:0, line 344 <- wrt source file
2025-12-04T09:03:43.3181069Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate_fn:0
2025-12-04T09:03:43.3183611Z * 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
2025-12-04T09:03:43.3186500Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0
2025-12-04T09:03:43.3189220Z * 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
2025-12-04T09:03:43.3191832Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/core.py::reify:0
2025-12-04T09:03:43.3194508Z * 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
2025-12-04T09:03:43.3197316Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0
2025-12-04T09:03:43.3200015Z * 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
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2025-12-04T09:03:43.3205379Z * 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
2025-12-04T09:03:43.3208137Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::reify_object:0
2025-12-04T09:03:43.3210834Z * 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
2025-12-04T09:03:43.3213594Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unify_object:0
2025-12-04T09:03:43.3216547Z * 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
2025-12-04T09:03:43.3219467Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0
2025-12-04T09:03:43.3222538Z * 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
2025-12-04T09:03:43.3225549Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0
2025-12-04T09:03:43.3228487Z * 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
2025-12-04T09:03:43.3231436Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0
2025-12-04T09:03:43.3234317Z * 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
2025-12-04T09:03:43.3237248Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0
2025-12-04T09:03:43.3240159Z * 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
2025-12-04T09:03:43.3243127Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0
2025-12-04T09:03:43.3246054Z * 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
2025-12-04T09:03:43.3249073Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0
2025-12-04T09:03:43.3252020Z * 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
2025-12-04T09:03:43.3255083Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0
2025-12-04T09:03:43.3258058Z * 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
2025-12-04T09:03:43.3261158Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0
2025-12-04T09:03:43.3264083Z * 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
2025-12-04T09:03:43.3267006Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0
2025-12-04T09:03:43.3269872Z * 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
2025-12-04T09:03:43.3272807Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0
2025-12-04T09:03:43.3275868Z * 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
2025-12-04T09:03:43.3278885Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc_in:0
2025-12-04T09:03:43.3281975Z * 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
2025-12-04T09:03:43.3285084Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::update_in:0
2025-12-04T09:03:43.3288002Z * 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
2025-12-04T09:03:43.3290944Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::get_in:0
2025-12-04T09:03:43.3293869Z * 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
2025-12-04T09:03:43.3296873Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::groupby:0
2025-12-04T09:03:43.3299799Z * 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
2025-12-04T09:03:43.3302736Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0
2025-12-04T09:03:43.3305547Z * 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
2025-12-04T09:03:43.3308358Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0
2025-12-04T09:03:43.3311067Z * 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
2025-12-04T09:03:43.3313779Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0
2025-12-04T09:03:43.3316502Z * 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
2025-12-04T09:03:43.3319294Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0
2025-12-04T09:03:43.3321945Z * 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
2025-12-04T09:03:43.3324602Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::freeze:0
2025-12-04T09:03:43.3327292Z * 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
2025-12-04T09:03:43.3330110Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/variable.py::variables:0
2025-12-04T09:03:43.3333017Z * 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
2025-12-04T09:03:43.3336150Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0
2025-12-04T09:03:43.3339314Z * 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
2025-12-04T09:03:43.3342858Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0
2025-12-04T09:03:43.3346206Z * 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
2025-12-04T09:03:43.3349784Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0
2025-12-04T09:03:43.3353191Z * 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
2025-12-04T09:03:43.3356610Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0
2025-12-04T09:03:43.3360010Z * 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
2025-12-04T09:03:43.3363546Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0
2025-12-04T09:03:43.3366924Z * 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
2025-12-04T09:03:43.3370293Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0
2025-12-04T09:03:43.3373520Z * 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
2025-12-04T09:03:43.3376908Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0
2025-12-04T09:03:43.3380130Z * 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
2025-12-04T09:03:43.3383285Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0
2025-12-04T09:03:43.3386401Z * 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
2025-12-04T09:03:43.3389610Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0
2025-12-04T09:03:43.3392706Z * 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
2025-12-04T09:03:43.3395821Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0
2025-12-04T09:03:43.3398906Z * 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
2025-12-04T09:03:43.3402057Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0
2025-12-04T09:03:43.3405187Z * 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
2025-12-04T09:03:43.3408436Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0
2025-12-04T09:03:43.3411764Z * 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
2025-12-04T09:03:43.3415086Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0
2025-12-04T09:03:43.3417991Z * 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
2025-12-04T09:03:43.3420872Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0
2025-12-04T09:03:43.3423375Z * 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
2025-12-04T09:03:43.3425758Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0
2025-12-04T09:03:43.3428127Z * 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
2025-12-04T09:03:43.3430607Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0
2025-12-04T09:03:43.3433549Z * 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
2025-12-04T09:03:43.3436964Z * 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
2025-12-04T09:03:43.3439925Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 37 <- wrt source file
2025-12-04T09:03:43.3442577Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0
2025-12-04T09:03:43.3445167Z * 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
2025-12-04T09:03:43.3447782Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0
2025-12-04T09:03:43.3450456Z * 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
2025-12-04T09:03:43.3453233Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0
2025-12-04T09:03:43.3455868Z * 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
2025-12-04T09:03:43.3458437Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0
2025-12-04T09:03:43.3460831Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0, line 1538 <- wrt source file
2025-12-04T09:03:43.3463015Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0
2025-12-04T09:03:43.3465394Z * 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
2025-12-04T09:03:43.3468019Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0
2025-12-04T09:03:43.3470721Z * 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
2025-12-04T09:03:43.3473463Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0
2025-12-04T09:03:43.3476395Z * 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
2025-12-04T09:03:43.4081150Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0
2025-12-04T09:03:43.4105444Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file
2025-12-04T09:03:43.4117309Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0
2025-12-04T09:03:43.4120035Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file
2025-12-04T09:03:43.4130293Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0
2025-12-04T09:03:43.4132519Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file
2025-12-04T09:03:43.4199514Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0
2025-12-04T09:03:43.4201832Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file
2025-12-04T09:03:43.4264766Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0
2025-12-04T09:03:43.4266943Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file
2025-12-04T09:03:43.4323539Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0
2025-12-04T09:03:43.4326254Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file
2025-12-04T09:03:43.4346835Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0
2025-12-04T09:03:43.4349522Z * 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
2025-12-04T09:03:43.4376260Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0
2025-12-04T09:03:43.4397171Z * 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
2025-12-04T09:03:43.4400317Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0
2025-12-04T09:03:43.4402453Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file
2025-12-04T09:03:43.4412293Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0
2025-12-04T09:03:43.4414402Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file
2025-12-04T09:03:43.4508574Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0
2025-12-04T09:03:43.4511031Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file
2025-12-04T09:03:43.4517922Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0
2025-12-04T09:03:43.4520677Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file
2025-12-04T09:03:43.4539914Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0
2025-12-04T09:03:43.4542073Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file
2025-12-04T09:03:43.4546821Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0
2025-12-04T09:03:43.4548942Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file
2025-12-04T09:03:43.4601581Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0
2025-12-04T09:03:43.4604482Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file
2025-12-04T09:03:43.4623728Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0
2025-12-04T09:03:43.4626230Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file
2025-12-04T09:03:43.4628588Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0
2025-12-04T09:03:43.4630686Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file
2025-12-04T09:03:43.4632885Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0
2025-12-04T09:03:43.4634916Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file
2025-12-04T09:03:43.4637111Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0
2025-12-04T09:03:43.4639194Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file
2025-12-04T09:03:43.4658008Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0
2025-12-04T09:03:43.4660214Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file
2025-12-04T09:03:43.4663278Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0
2025-12-04T09:03:43.4665307Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file
2025-12-04T09:03:43.4667472Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0
2025-12-04T09:03:43.4669482Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file
2025-12-04T09:03:43.4673233Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0
2025-12-04T09:03:43.4675057Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file
2025-12-04T09:03:43.4677506Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0
2025-12-04T09:03:43.4679508Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file
2025-12-04T09:03:43.4685488Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0
2025-12-04T09:03:43.4687530Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file
2025-12-04T09:03:43.4691604Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0
2025-12-04T09:03:43.4693869Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file
2025-12-04T09:03:43.4696134Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0
2025-12-04T09:03:43.4698360Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file
2025-12-04T09:03:43.4700714Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0
2025-12-04T09:03:43.4702908Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file
2025-12-04T09:03:43.4705114Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0
2025-12-04T09:03:43.4707259Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file
2025-12-04T09:03:43.4709397Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0
2025-12-04T09:03:43.4711451Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file
2025-12-04T09:03:43.4749580Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0
2025-12-04T09:03:43.4751802Z * 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
2025-12-04T09:03:43.4754149Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0
2025-12-04T09:03:43.4756728Z * 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
2025-12-04T09:03:43.4759402Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0
2025-12-04T09:03:43.4761313Z * 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
2025-12-04T09:03:43.4762780Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0
2025-12-04T09:03:43.4764089Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file
2025-12-04T09:03:43.4765308Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0
2025-12-04T09:03:43.4766661Z * 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
2025-12-04T09:03:43.4767910Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0
2025-12-04T09:03:43.4769127Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file
2025-12-04T09:03:43.4778456Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0
2025-12-04T09:03:43.4781123Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file
2025-12-04T09:03:43.4787713Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0
2025-12-04T09:03:43.4790169Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file
2025-12-04T09:03:43.4794485Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0
2025-12-04T09:03:43.4796784Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file
2025-12-04T09:03:43.4801140Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0
2025-12-04T09:03:43.4803443Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file
2025-12-04T09:03:43.4807716Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0
2025-12-04T09:03:43.4810007Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file
2025-12-04T09:03:43.4815053Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0
2025-12-04T09:03:43.4817784Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file
2025-12-04T09:03:43.4822907Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0
2025-12-04T09:03:43.4825223Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file
2025-12-04T09:03:43.4829076Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0
2025-12-04T09:03:43.4831424Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file
2025-12-04T09:03:43.4856062Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0
2025-12-04T09:03:43.4858361Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file
2025-12-04T09:03:43.4867595Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0
2025-12-04T09:03:43.4869923Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file
2025-12-04T09:03:43.4882629Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0
2025-12-04T09:03:43.4884990Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file
2025-12-04T09:03:43.4888762Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0
2025-12-04T09:03:43.4891035Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file
2025-12-04T09:03:43.4894685Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0
2025-12-04T09:03:43.4896948Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file
2025-12-04T09:03:43.4900276Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0
2025-12-04T09:03:43.4902660Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file
2025-12-04T09:03:43.4907123Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0
2025-12-04T09:03:43.4909418Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file
2025-12-04T09:03:43.4915467Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0
2025-12-04T09:03:43.4917816Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file
2025-12-04T09:03:43.4931662Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0
2025-12-04T09:03:43.4934086Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file
2025-12-04T09:03:43.4936880Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0
2025-12-04T09:03:43.4939297Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file
2025-12-04T09:03:43.4942446Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0
2025-12-04T09:03:43.4944826Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file
2025-12-04T09:03:43.4948535Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0
2025-12-04T09:03:43.4950949Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file
2025-12-04T09:03:43.4954175Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0
2025-12-04T09:03:43.4956700Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file
2025-12-04T09:03:43.4959371Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0
2025-12-04T09:03:43.4961813Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file
2025-12-04T09:03:43.4964182Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0
2025-12-04T09:03:43.4966534Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file
2025-12-04T09:03:43.4968955Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0
2025-12-04T09:03:43.4971332Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file
2025-12-04T09:03:43.4973814Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0
2025-12-04T09:03:43.4976423Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file
2025-12-04T09:03:43.4979026Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0
2025-12-04T09:03:43.4981428Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file
2025-12-04T09:03:43.4984419Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0
2025-12-04T09:03:43.4986787Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file
2025-12-04T09:03:43.4990899Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0
2025-12-04T09:03:43.4993675Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file
2025-12-04T09:03:43.4996565Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0
2025-12-04T09:03:43.4998983Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file
2025-12-04T09:03:43.5034179Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0
2025-12-04T09:03:43.5036592Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file
2025-12-04T09:03:43.5251247Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0
2025-12-04T09:03:43.5253963Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file
2025-12-04T09:03:43.7661346Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0
2025-12-04T09:03:43.7835448Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file
2025-12-04T09:03:43.7838024Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0
2025-12-04T09:03:43.7840755Z * 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
2025-12-04T09:03:43.7843753Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0
2025-12-04T09:03:43.7846529Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file
2025-12-04T09:03:43.7871456Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0
2025-12-04T09:03:43.7873937Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file
2025-12-04T09:03:43.7876545Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0
2025-12-04T09:03:43.7879031Z * 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
2025-12-04T09:03:43.7884655Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0
2025-12-04T09:03:43.7887198Z * 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
2025-12-04T09:03:43.7893801Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0
2025-12-04T09:03:43.7896510Z * 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
2025-12-04T09:03:43.7904599Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0
2025-12-04T09:03:43.7907451Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file
2025-12-04T09:03:43.7910114Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0
2025-12-04T09:03:43.7912507Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file
2025-12-04T09:03:43.7914967Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0
2025-12-04T09:03:43.7917396Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file
2025-12-04T09:03:43.7919917Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0
2025-12-04T09:03:43.7922356Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file
2025-12-04T09:03:43.7924863Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0
2025-12-04T09:03:43.7927345Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file
2025-12-04T09:03:43.7929899Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0
2025-12-04T09:03:43.7932371Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file
2025-12-04T09:03:43.7934912Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0
2025-12-04T09:03:43.7937274Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file
2025-12-04T09:03:43.7939668Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0
2025-12-04T09:03:43.7941943Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file
2025-12-04T09:03:43.7944314Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0
2025-12-04T09:03:43.7946624Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file
2025-12-04T09:03:43.7967464Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0
2025-12-04T09:03:43.7970175Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file
2025-12-04T09:03:43.8038965Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0
2025-12-04T09:03:43.8041705Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file
2025-12-04T09:03:43.8046925Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0
2025-12-04T09:03:43.8049452Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file
2025-12-04T09:03:43.8120555Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0
2025-12-04T09:03:43.8123415Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file
2025-12-04T09:03:43.8126545Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0
2025-12-04T09:03:43.8129193Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file
2025-12-04T09:03:43.8146332Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0
2025-12-04T09:03:43.8148468Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file
2025-12-04T09:03:43.8153450Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0
2025-12-04T09:03:43.8155529Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file
2025-12-04T09:03:43.8184521Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0
2025-12-04T09:03:43.8186799Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file
2025-12-04T09:03:43.8200427Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0
2025-12-04T09:03:43.8202872Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file
2025-12-04T09:03:43.8386217Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0
2025-12-04T09:03:43.8389040Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file
2025-12-04T09:03:44.0814819Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0
2025-12-04T09:03:44.0986237Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file
2025-12-04T09:03:44.0990508Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0
2025-12-04T09:03:44.0992713Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file
2025-12-04T09:03:44.0999193Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0
2025-12-04T09:03:44.1001327Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file
2025-12-04T09:03:44.1010469Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0
2025-12-04T09:03:44.1012781Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file
2025-12-04T09:03:44.1031678Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0
2025-12-04T09:03:44.1034249Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file
2025-12-04T09:03:44.1041238Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0
2025-12-04T09:03:44.1043534Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file
2025-12-04T09:03:44.1071724Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0
2025-12-04T09:03:44.1074306Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file
2025-12-04T09:03:44.1093837Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0
2025-12-04T09:03:44.1096140Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file
2025-12-04T09:03:44.1123518Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0
2025-12-04T09:03:44.1125715Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file
2025-12-04T09:03:44.1146237Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0
2025-12-04T09:03:44.1148785Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file
2025-12-04T09:03:44.1168712Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0
2025-12-04T09:03:44.1170837Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file
2025-12-04T09:03:44.1176977Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0
2025-12-04T09:03:44.1179207Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file
2025-12-04T09:03:44.1191518Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0
2025-12-04T09:03:44.1193842Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file
2025-12-04T09:03:44.1198922Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1
2025-12-04T09:03:44.1201745Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file
2025-12-04T09:03:44.1209423Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0
2025-12-04T09:03:44.1211788Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file
2025-12-04T09:03:44.1220122Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0
2025-12-04T09:03:44.1222738Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file
2025-12-04T09:03:44.1225292Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1
2025-12-04T09:03:44.1227842Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file
2025-12-04T09:03:44.1234850Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0
2025-12-04T09:03:44.1237331Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file
2025-12-04T09:03:44.1244908Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0
2025-12-04T09:03:44.1247374Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file
2025-12-04T09:03:44.1254517Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0
2025-12-04T09:03:44.1256963Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file
2025-12-04T09:03:44.1267791Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0
2025-12-04T09:03:44.1270393Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file
2025-12-04T09:03:44.1310051Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0
2025-12-04T09:03:44.1313019Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file
2025-12-04T09:03:44.1344365Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0
2025-12-04T09:03:44.1346785Z * 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
2025-12-04T09:03:44.1349404Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0
2025-12-04T09:03:44.1351874Z * 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
2025-12-04T09:03:44.1362039Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0
2025-12-04T09:03:44.1364355Z * 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
2025-12-04T09:03:44.1371327Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0
2025-12-04T09:03:44.1373710Z * 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
2025-12-04T09:03:44.1376388Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0
2025-12-04T09:03:44.1378885Z * 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
2025-12-04T09:03:44.1381489Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0
2025-12-04T09:03:44.1384019Z * 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
2025-12-04T09:03:44.1386666Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0
2025-12-04T09:03:44.1389368Z * 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
2025-12-04T09:03:44.1391806Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0
2025-12-04T09:03:44.1394367Z * 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
2025-12-04T09:03:44.1396948Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0
2025-12-04T09:03:44.1399478Z * 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
2025-12-04T09:03:44.1402078Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0
2025-12-04T09:03:44.1404551Z * 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
2025-12-04T09:03:44.1406977Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0
2025-12-04T09:03:44.1409500Z * 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
2025-12-04T09:03:44.1411989Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0
2025-12-04T09:03:44.1414494Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file
2025-12-04T09:03:44.1432139Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0
2025-12-04T09:03:44.1435363Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file
2025-12-04T09:03:44.1481479Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0
2025-12-04T09:03:44.1484375Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file
2025-12-04T09:03:44.1501836Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0
2025-12-04T09:03:44.1504194Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file
2025-12-04T09:03:44.1508280Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0
2025-12-04T09:03:44.1510595Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file
2025-12-04T09:03:44.1515709Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0
2025-12-04T09:03:44.1518006Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file
2025-12-04T09:03:44.1540099Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0
2025-12-04T09:03:44.1542403Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file
2025-12-04T09:03:44.7726134Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0
2025-12-04T09:03:44.8051508Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file
2025-12-04T09:03:44.8064619Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0
2025-12-04T09:03:44.8067245Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file
2025-12-04T09:03:44.8074559Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0
2025-12-04T09:03:44.8077131Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file
2025-12-04T09:03:44.8101391Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0
2025-12-04T09:03:44.8103715Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file
2025-12-04T09:03:44.8131860Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0
2025-12-04T09:03:44.8134395Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file
2025-12-04T09:03:44.8138651Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0
2025-12-04T09:03:44.8141222Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file
2025-12-04T09:03:44.8158077Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0
2025-12-04T09:03:44.8160580Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file
2025-12-04T09:03:44.8164998Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0
2025-12-04T09:03:44.8167513Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file
2025-12-04T09:03:44.8185420Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0
2025-12-04T09:03:44.8187930Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file
2025-12-04T09:03:45.3314134Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0
2025-12-04T09:03:45.3620125Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file
2025-12-04T09:03:45.3632126Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0
2025-12-04T09:03:45.3634485Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file
2025-12-04T09:03:45.3640128Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0
2025-12-04T09:03:45.3642479Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file
2025-12-04T09:03:45.3664685Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0
2025-12-04T09:03:45.3667482Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file
2025-12-04T09:03:45.3672127Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0
2025-12-04T09:03:45.3674883Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file
2025-12-04T09:03:45.3680014Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0
2025-12-04T09:03:45.3682366Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file
2025-12-04T09:03:45.3696810Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0
2025-12-04T09:03:45.3699163Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file
2025-12-04T09:03:45.3756366Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0
2025-12-04T09:03:45.3758726Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file
2025-12-04T09:03:45.5977204Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0
2025-12-04T09:03:45.6037181Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file
2025-12-04T09:03:45.6053359Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0
2025-12-04T09:03:45.6055727Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file
2025-12-04T09:03:45.6077248Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0
2025-12-04T09:03:45.6079644Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file
2025-12-04T09:03:45.6880130Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0
2025-12-04T09:03:45.6882596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file
2025-12-04T09:03:45.6906988Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0
2025-12-04T09:03:45.6909495Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file
2025-12-04T09:03:45.6947907Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0
2025-12-04T09:03:45.6950262Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file
2025-12-04T09:03:45.8518025Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0
2025-12-04T09:03:45.8578943Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file
2025-12-04T09:03:45.8628763Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0
2025-12-04T09:03:45.8631233Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file
2025-12-04T09:03:45.9300924Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0
2025-12-04T09:03:45.9303505Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file
2025-12-04T09:03:45.9312641Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0
2025-12-04T09:03:45.9315260Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file
2025-12-04T09:03:45.9367879Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0
2025-12-04T09:03:45.9370912Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file
2025-12-04T09:03:46.1478554Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0
2025-12-04T09:03:46.1538789Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file
2025-12-04T09:03:46.1557408Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0
2025-12-04T09:03:46.1559808Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file
2025-12-04T09:03:46.1569907Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0
2025-12-04T09:03:46.1572954Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file
2025-12-04T09:03:46.1669688Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0
2025-12-04T09:03:46.1672171Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file
2025-12-04T09:03:46.1687609Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0
2025-12-04T09:03:46.1690092Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file
2025-12-04T09:03:46.1699504Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0
2025-12-04T09:03:46.1702141Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file
2025-12-04T09:03:46.1720980Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0
2025-12-04T09:03:46.1723606Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file
2025-12-04T09:03:46.1736477Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0
2025-12-04T09:03:46.1738545Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file
2025-12-04T09:03:46.2102571Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0
2025-12-04T09:03:46.2104726Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file
2025-12-04T09:03:46.2123136Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0
2025-12-04T09:03:46.2125294Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file
2025-12-04T09:03:46.2148134Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0
2025-12-04T09:03:46.2150353Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file
2025-12-04T09:03:46.2170846Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0
2025-12-04T09:03:46.2173060Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file
2025-12-04T09:03:46.2186591Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0
2025-12-04T09:03:46.2188854Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file
2025-12-04T09:03:46.2203997Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0
2025-12-04T09:03:46.2206385Z * 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
2025-12-04T09:03:46.2210842Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0
2025-12-04T09:03:46.2213216Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file
2025-12-04T09:03:46.2228478Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0
2025-12-04T09:03:46.2230921Z * 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
2025-12-04T09:03:46.2237183Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0
2025-12-04T09:03:46.2239799Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file
2025-12-04T09:03:47.0573925Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0
2025-12-04T09:03:47.0591761Z * 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
2025-12-04T09:03:47.0594571Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0
2025-12-04T09:03:47.0597244Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file
2025-12-04T09:03:47.1730619Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0
2025-12-04T09:03:47.1736176Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file
2025-12-04T09:03:47.4210933Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0
2025-12-04T09:03:47.4219097Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file
2025-12-04T09:03:47.4510069Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0
2025-12-04T09:03:47.4665591Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file
2025-12-04T09:03:47.5218624Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0
2025-12-04T09:03:47.5221304Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file
2025-12-04T09:03:47.5283811Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0
2025-12-04T09:03:47.5286220Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file
2025-12-04T09:03:47.5298475Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0
2025-12-04T09:03:47.5301195Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file
2025-12-04T09:03:47.5309522Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0
2025-12-04T09:03:47.5312163Z * 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
2025-12-04T09:03:47.5314762Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0
2025-12-04T09:03:47.5317435Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file
2025-12-04T09:03:47.5322338Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0
2025-12-04T09:03:47.5325249Z * 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
2025-12-04T09:03:47.5328269Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0
2025-12-04T09:03:47.5331236Z * 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
2025-12-04T09:03:47.5334213Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0
2025-12-04T09:03:47.5337322Z * 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
2025-12-04T09:03:47.5340636Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0
2025-12-04T09:03:47.5343817Z * 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
2025-12-04T09:03:47.5347048Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1
2025-12-04T09:03:47.5350315Z * 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
2025-12-04T09:03:47.5353974Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0
2025-12-04T09:03:47.5357389Z * 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
2025-12-04T09:03:47.5360695Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0
2025-12-04T09:03:47.5363622Z * 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
2025-12-04T09:03:47.5366369Z * 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
2025-12-04T09:03:47.5368795Z * 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
2025-12-04T09:03:47.5371020Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0
2025-12-04T09:03:47.5373583Z * 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
2025-12-04T09:03:47.5376675Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0
2025-12-04T09:03:47.5379654Z * 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
2025-12-04T09:03:47.5382618Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0
2025-12-04T09:03:47.5385345Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file
2025-12-04T09:03:47.5387921Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0
2025-12-04T09:03:47.5390436Z * 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
2025-12-04T09:03:47.5393024Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0
2025-12-04T09:03:47.5395565Z * 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
2025-12-04T09:03:47.5398210Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0
2025-12-04T09:03:47.5400589Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file
2025-12-04T09:03:47.5402833Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0
2025-12-04T09:03:47.5405156Z * 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
2025-12-04T09:03:47.5407636Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0
2025-12-04T09:03:47.5410033Z * 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
2025-12-04T09:03:47.5412410Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0
2025-12-04T09:03:47.5414949Z * 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
2025-12-04T09:03:47.5417389Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0
2025-12-04T09:03:47.5419903Z * 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
2025-12-04T09:03:47.5422285Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0
2025-12-04T09:03:47.5424667Z * 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
2025-12-04T09:03:47.5427146Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0
2025-12-04T09:03:47.5429554Z * 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
2025-12-04T09:03:47.5431928Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0
2025-12-04T09:03:47.5434192Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file
2025-12-04T09:03:47.5436405Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0
2025-12-04T09:03:47.5438584Z * 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
2025-12-04T09:03:47.5440840Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0
2025-12-04T09:03:47.5443098Z * 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
2025-12-04T09:03:47.5455115Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0
2025-12-04T09:03:47.5457400Z * 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
2025-12-04T09:03:47.5462032Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0
2025-12-04T09:03:47.5464256Z * 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
2025-12-04T09:03:47.5477515Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0
2025-12-04T09:03:47.5479800Z * 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
2025-12-04T09:03:47.5487782Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0
2025-12-04T09:03:47.5489991Z * 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
2025-12-04T09:03:47.5509719Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0
2025-12-04T09:03:47.5512135Z * 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
2025-12-04T09:03:47.5517889Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0
2025-12-04T09:03:47.5520455Z * 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
2025-12-04T09:03:47.5531037Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0
2025-12-04T09:03:47.5533635Z * 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
2025-12-04T09:03:47.5536112Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0
2025-12-04T09:03:47.5538385Z * 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
2025-12-04T09:03:47.5553379Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0
2025-12-04T09:03:47.5555709Z * 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
2025-12-04T09:03:47.5559505Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0
2025-12-04T09:03:47.5561955Z * 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
2025-12-04T09:03:47.5564516Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0
2025-12-04T09:03:47.5567317Z * 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
2025-12-04T09:03:47.5570534Z * 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
2025-12-04T09:03:47.5573187Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file
2025-12-04T09:03:47.5575525Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0
2025-12-04T09:03:47.5577813Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file
2025-12-04T09:03:47.5580283Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0
2025-12-04T09:03:47.5582498Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file
2025-12-04T09:03:47.5584676Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0
2025-12-04T09:03:47.5586850Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file
2025-12-04T09:03:47.5589124Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0
2025-12-04T09:03:47.5591322Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file
2025-12-04T09:03:47.5593544Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0
2025-12-04T09:03:47.5595689Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file
2025-12-04T09:03:47.5597879Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0
2025-12-04T09:03:47.5600275Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file
2025-12-04T09:03:47.5602589Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0
2025-12-04T09:03:47.5604937Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file
2025-12-04T09:03:47.5607196Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0
2025-12-04T09:03:47.5609431Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file
2025-12-04T09:03:47.5611718Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0
2025-12-04T09:03:47.5614035Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file
2025-12-04T09:03:47.5616436Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0
2025-12-04T09:03:47.5618780Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file
2025-12-04T09:03:47.5621310Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0
2025-12-04T09:03:47.5623567Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file
2025-12-04T09:03:47.5625775Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0
2025-12-04T09:03:47.5628155Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file
2025-12-04T09:03:47.5630774Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0
2025-12-04T09:03:47.5633412Z * 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
2025-12-04T09:03:47.5636129Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0
2025-12-04T09:03:47.5638797Z * 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
2025-12-04T09:03:47.5641525Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1
2025-12-04T09:03:47.5643946Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file
2025-12-04T09:03:47.5646194Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0
2025-12-04T09:03:47.5648509Z * 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
2025-12-04T09:03:47.5650962Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0
2025-12-04T09:03:47.5653272Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file
2025-12-04T09:03:47.5655623Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0
2025-12-04T09:03:47.5657795Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file
2025-12-04T09:03:47.5660147Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1
2025-12-04T09:03:47.5662290Z * 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
2025-12-04T09:03:47.5664444Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0
2025-12-04T09:03:47.5666521Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file
2025-12-04T09:03:47.5668575Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0
2025-12-04T09:03:47.5670685Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file
2025-12-04T09:03:47.5672899Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0
2025-12-04T09:03:47.5675522Z * 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
2025-12-04T09:03:47.5678355Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0
2025-12-04T09:03:47.5680795Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0, line 659 <- wrt source file
2025-12-04T09:03:47.5682991Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0
2025-12-04T09:03:47.5685346Z * 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
2025-12-04T09:03:47.5687961Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0
2025-12-04T09:03:47.5690360Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file
2025-12-04T09:03:47.5692662Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0
2025-12-04T09:03:47.5694860Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file
2025-12-04T09:03:47.5697089Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0
2025-12-04T09:03:47.5699416Z * 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
2025-12-04T09:03:47.5702017Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0
2025-12-04T09:03:47.5704480Z * 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
2025-12-04T09:03:47.5707005Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0
2025-12-04T09:03:47.5709442Z * 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
2025-12-04T09:03:47.5712058Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0
2025-12-04T09:03:47.5714641Z * 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
2025-12-04T09:03:47.5717521Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0
2025-12-04T09:03:47.5720256Z * 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
2025-12-04T09:03:47.5723031Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0
2025-12-04T09:03:47.5725724Z * 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
2025-12-04T09:03:47.5728476Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0
2025-12-04T09:03:47.5731041Z * 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
2025-12-04T09:03:47.5733586Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0
2025-12-04T09:03:47.5736145Z * 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
2025-12-04T09:03:47.5738860Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0
2025-12-04T09:03:47.5741790Z * 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
2025-12-04T09:03:47.5744884Z * 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
2025-12-04T09:03:47.5747946Z * 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
2025-12-04T09:03:47.5751084Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0
2025-12-04T09:03:47.5753737Z * 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
2025-12-04T09:03:47.5756099Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0
2025-12-04T09:03:47.5758333Z * 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
2025-12-04T09:03:47.5760535Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0
2025-12-04T09:03:47.5762688Z * 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
2025-12-04T09:03:47.5764897Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0
2025-12-04T09:03:47.5767074Z * 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
2025-12-04T09:03:47.5769421Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0
2025-12-04T09:03:47.5771554Z * 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
2025-12-04T09:03:47.5773766Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0
2025-12-04T09:03:47.5776037Z * 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
2025-12-04T09:03:47.5778259Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0
2025-12-04T09:03:47.5780473Z * 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
2025-12-04T09:03:47.5782733Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0
2025-12-04T09:03:47.5784878Z * 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
2025-12-04T09:03:47.5787008Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0
2025-12-04T09:03:47.5789175Z * 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
2025-12-04T09:03:47.5791482Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0
2025-12-04T09:03:47.5793729Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file
2025-12-04T09:03:47.5798402Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0
2025-12-04T09:03:47.5800648Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file
2025-12-04T09:03:47.5809133Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0
2025-12-04T09:03:47.5811313Z * 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
2025-12-04T09:03:47.5816166Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0
2025-12-04T09:03:47.5818250Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file
2025-12-04T09:03:47.5823756Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0
2025-12-04T09:03:47.5826371Z * 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
2025-12-04T09:03:47.5829166Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0
2025-12-04T09:03:47.5831961Z * 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
2025-12-04T09:03:47.5834937Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0
2025-12-04T09:03:47.5837641Z * 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
2025-12-04T09:03:47.5840504Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0
2025-12-04T09:03:47.5843084Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 561 <- wrt source file
2025-12-04T09:03:47.5845762Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0
2025-12-04T09:03:47.5848279Z * 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
2025-12-04T09:03:47.5850894Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0
2025-12-04T09:03:47.5853531Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file
2025-12-04T09:03:47.5856239Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0
2025-12-04T09:03:47.5858984Z * 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
2025-12-04T09:03:47.5861839Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0
2025-12-04T09:03:47.5864327Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file
2025-12-04T09:03:47.5866634Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0
2025-12-04T09:03:47.5868935Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file
2025-12-04T09:03:47.5871309Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0
2025-12-04T09:03:47.5873641Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file
2025-12-04T09:03:47.5876124Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1
2025-12-04T09:03:47.5878435Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file
2025-12-04T09:03:47.5880778Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0
2025-12-04T09:03:47.5882982Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0, line 1759 <- wrt source file
2025-12-04T09:03:47.5885125Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0
2025-12-04T09:03:47.5887313Z * 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
2025-12-04T09:03:47.5889583Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load_inline:0
2025-12-04T09:03:47.5891734Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 93 <- wrt source file
2025-12-04T09:03:47.5893850Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0
2025-12-04T09:03:47.5896215Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file
2025-12-04T09:03:47.5898972Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0
2025-12-04T09:03:47.5901764Z * 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
2025-12-04T09:03:47.6490485Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0
2025-12-04T09:03:47.6492978Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file
2025-12-04T09:03:47.6498803Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0
2025-12-04T09:03:47.6501403Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file
2025-12-04T09:03:47.6503854Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0
2025-12-04T09:03:47.6506230Z * 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
2025-12-04T09:03:47.6508658Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0
2025-12-04T09:03:47.6511188Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file
2025-12-04T09:03:47.6513906Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0
2025-12-04T09:03:47.6516372Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file
2025-12-04T09:03:47.6518712Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0
2025-12-04T09:03:47.6521187Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file
2025-12-04T09:03:47.6523869Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0
2025-12-04T09:03:47.6526386Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file
2025-12-04T09:03:47.6528825Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0
2025-12-04T09:03:47.6531285Z * 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
2025-12-04T09:03:47.6533924Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0
2025-12-04T09:03:47.6536427Z * 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
2025-12-04T09:03:47.6538871Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0
2025-12-04T09:03:47.6541404Z * 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
2025-12-04T09:03:47.6544110Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0
2025-12-04T09:03:47.6547046Z * 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
2025-12-04T09:03:47.6549780Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0
2025-12-04T09:03:47.6552529Z * 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
2025-12-04T09:03:47.6555256Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0
2025-12-04T09:03:47.6558054Z * 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
2025-12-04T09:03:47.6561047Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0
2025-12-04T09:03:47.6564000Z * 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
2025-12-04T09:03:47.6567033Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0
2025-12-04T09:03:47.6570083Z * 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
2025-12-04T09:03:47.6573258Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0
2025-12-04T09:03:47.6576479Z * 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
2025-12-04T09:03:47.6579603Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0
2025-12-04T09:03:47.6582564Z * 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
2025-12-04T09:03:47.6585561Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0
2025-12-04T09:03:47.6588443Z * 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
2025-12-04T09:03:47.6591354Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0
2025-12-04T09:03:47.6594345Z * 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
2025-12-04T09:03:47.6597542Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0
2025-12-04T09:03:47.6600640Z * 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
2025-12-04T09:03:47.6603788Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0
2025-12-04T09:03:47.6606809Z * 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
2025-12-04T09:03:47.6609816Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0
2025-12-04T09:03:47.6613011Z * 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
2025-12-04T09:03:47.6616232Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0
2025-12-04T09:03:47.6619316Z * 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
2025-12-04T09:03:47.6622486Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0
2025-12-04T09:03:47.6625480Z * 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
2025-12-04T09:03:47.6628510Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0
2025-12-04T09:03:47.6631497Z * 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
2025-12-04T09:03:47.6634564Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0
2025-12-04T09:03:47.6637549Z * 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
2025-12-04T09:03:47.6640572Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0
2025-12-04T09:03:47.6643540Z * 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
2025-12-04T09:03:47.6646589Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0
2025-12-04T09:03:47.6649664Z * 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
2025-12-04T09:03:47.6652907Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0
2025-12-04T09:03:47.6656050Z * 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
2025-12-04T09:03:47.6659181Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0
2025-12-04T09:03:47.6662276Z * 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
2025-12-04T09:03:47.6665223Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0
2025-12-04T09:03:47.6668204Z * 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
2025-12-04T09:03:47.6671365Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0
2025-12-04T09:03:47.6674380Z * 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
2025-12-04T09:03:47.6677614Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0
2025-12-04T09:03:47.6680673Z * 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
2025-12-04T09:03:47.6683636Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0
2025-12-04T09:03:47.6686561Z * 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
2025-12-04T09:03:47.6689528Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0
2025-12-04T09:03:47.6692506Z * 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
2025-12-04T09:03:47.6695570Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0
2025-12-04T09:03:47.6698526Z * 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
2025-12-04T09:03:47.6701561Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0
2025-12-04T09:03:47.6704388Z * 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
2025-12-04T09:03:47.6707240Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0
2025-12-04T09:03:47.6709936Z * 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
2025-12-04T09:03:48.2650353Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0
2025-12-04T09:03:48.2653141Z * 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
2025-12-04T09:03:48.2655324Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0
2025-12-04T09:03:48.2657712Z * 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
2025-12-04T09:03:48.2660457Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0
2025-12-04T09:03:48.2663140Z * 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
2025-12-04T09:03:48.2665940Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0
2025-12-04T09:03:48.2668495Z * 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
2025-12-04T09:03:48.2670617Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0
2025-12-04T09:03:48.2672056Z * 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
2025-12-04T09:03:48.2674191Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0
2025-12-04T09:03:48.2676563Z * 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
2025-12-04T09:03:48.2678704Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0
2025-12-04T09:03:48.2681161Z * 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
2025-12-04T09:03:48.2683740Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0
2025-12-04T09:03:48.2686382Z * 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
2025-12-04T09:03:48.2688982Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0
2025-12-04T09:03:48.2691494Z * 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
2025-12-04T09:03:48.2693814Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0
2025-12-04T09:03:48.2696022Z * 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
2025-12-04T09:03:48.2697486Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0
2025-12-04T09:03:48.2699277Z * 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
2025-12-04T09:03:48.2701033Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0
2025-12-04T09:03:48.2702861Z * 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
2025-12-04T09:03:48.2704689Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0
2025-12-04T09:03:48.2706684Z * 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
2025-12-04T09:03:48.2708542Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0
2025-12-04T09:03:48.2710122Z * 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
2025-12-04T09:03:48.2711831Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0
2025-12-04T09:03:48.2713473Z * 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
2025-12-04T09:03:48.2715110Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0
2025-12-04T09:03:48.2716882Z * 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
2025-12-04T09:03:48.2718416Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0
2025-12-04T09:03:48.2719952Z * 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
2025-12-04T09:03:48.2721380Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0
2025-12-04T09:03:48.2722130Z ============
2025-12-04T09:03:48.2722403Z Finished doctests
2025-12-04T09:03:48.2722639Z 378 / 894 passed
2025-12-04T09:03:48.2722866Z 
2025-12-04T09:03:48.2723158Z === Found 17 parse-time warnings ===
2025-12-04T09:03:48.2723578Z --- Parse Warning: 1 / 17 ---
2025-12-04T09:03:48.2724926Z     /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.
2025-12-04T09:03:48.2726141Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:48.2726739Z     Registers the function implementation as the fallback for the given key.
2025-12-04T09:03:48.2727177Z     
2025-12-04T09:03:48.2727496Z             This function only works for a library with global namespace ("_").
2025-12-04T09:03:48.2727917Z     
2025-12-04T09:03:48.2728112Z             Args:
2025-12-04T09:03:48.2728515Z                 fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-12-04T09:03:48.2729024Z                     to register a fallthrough.
2025-12-04T09:03:48.2729576Z                 dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-12-04T09:03:48.2730191Z                               the dispatch key that the library was created with.
2025-12-04T09:03:48.2730834Z                 with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-12-04T09:03:48.2731640Z                              to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-12-04T09:03:48.2732161Z     
2025-12-04T09:03:48.2732353Z             Example::
2025-12-04T09:03:48.2732586Z     
2025-12-04T09:03:48.2732806Z                 >>> my_lib = Library("_", "IMPL")
2025-12-04T09:03:48.2733154Z                 >>> def fallback_kernel(op, *args, **kwargs):
2025-12-04T09:03:48.2733529Z                 >>>     # Handle all autocast ops generically
2025-12-04T09:03:48.2733860Z                 >>>     # ...
2025-12-04T09:03:48.2734173Z                 >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T09:03:48.2734506Z             
2025-12-04T09:03:48.2735258Z     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))
2025-12-04T09:03:48.2736066Z     
2025-12-04T09:03:48.2736295Z     my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T09:03:48.2736618Z     ^
2025-12-04T09:03:48.2736831Z       warnings.warn(msg)
2025-12-04T09:03:48.2737066Z     
2025-12-04T09:03:48.2737361Z --- Parse Warning: 2 / 17 ---
2025-12-04T09:03:48.2738428Z     /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.
2025-12-04T09:03:48.2739740Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:48.2740323Z     Register a FakeTensor implementation ("fake impl") for this operator.
2025-12-04T09:03:48.2740849Z     
2025-12-04T09:03:48.2741140Z         Also sometimes known as a "meta kernel", "abstract impl".
2025-12-04T09:03:48.2741498Z     
2025-12-04T09:03:48.2741849Z         An "FakeTensor implementation" specifies the behavior of this operator on
2025-12-04T09:03:48.2742439Z         Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-12-04T09:03:48.2743084Z         certain properties (sizes/strides/storage_offset/device), it specifies
2025-12-04T09:03:48.2743568Z         what the properties of the output Tensors are.
2025-12-04T09:03:48.2743899Z     
2025-12-04T09:03:48.2744241Z         The FakeTensor implementation has the same signature as the operator.
2025-12-04T09:03:48.2744780Z         It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-12-04T09:03:48.2745322Z         implementation, assume that all Tensor inputs to the operator are
2025-12-04T09:03:48.2745859Z         regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-12-04T09:03:48.2746389Z         you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-12-04T09:03:48.2746922Z         The FakeTensor implementation must consist of only PyTorch operations
2025-12-04T09:03:48.2747457Z         (and may not directly access the storage or data of any input or
2025-12-04T09:03:48.2747867Z         intermediate Tensors).
2025-12-04T09:03:48.2748126Z     
2025-12-04T09:03:48.2748388Z         This API may be used as a decorator (see examples).
2025-12-04T09:03:48.2748736Z     
2025-12-04T09:03:48.2748972Z         For a detailed guide on custom ops, please see
2025-12-04T09:03:48.2749467Z         https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-12-04T09:03:48.2749896Z     
2025-12-04T09:03:48.2750078Z         Args:
2025-12-04T09:03:48.2750427Z             op_name: Operator name (along with the overload) or OpOverload object.
2025-12-04T09:03:48.2750882Z             func: Fake tensor implementation.
2025-12-04T09:03:48.2751413Z             lib (Optional[Library]): Library to register the fake tensor to.
2025-12-04T09:03:48.2751985Z             allow_override: Flag controlling if we want to override an
2025-12-04T09:03:48.2752504Z                             existing registered fake impl. This is by default off,
2025-12-04T09:03:48.2752988Z                             and will error you're trying to register a fake impl to
2025-12-04T09:03:48.2753445Z                             an operator that already has a fake impl. This also only
2025-12-04T09:03:48.2753896Z                             applies if the custom operator was not created via
2025-12-04T09:03:48.2754360Z                             torch.library.custom_op, as overriding and existing fake
2025-12-04T09:03:48.2754782Z                             impl is already allowed.
2025-12-04T09:03:48.2755078Z     
2025-12-04T09:03:48.2755273Z         Examples:
2025-12-04T09:03:48.2755506Z             >>> import torch
2025-12-04T09:03:48.2755773Z             >>> import numpy as np
2025-12-04T09:03:48.2756079Z             >>> from torch import Tensor
2025-12-04T09:03:48.2756376Z             >>>
2025-12-04T09:03:48.2756679Z             >>> # Example 1: an operator without data-dependent output shape
2025-12-04T09:03:48.2757199Z             >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-12-04T09:03:48.2757746Z             >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T09:03:48.2758257Z             >>>     raise NotImplementedError("Implementation goes here")
2025-12-04T09:03:48.2758621Z             >>>
2025-12-04T09:03:48.2758919Z             >>> @torch.library.register_fake("mylib::custom_linear")
2025-12-04T09:03:48.2759300Z             >>> def _(x, weight, bias):
2025-12-04T09:03:48.2759593Z             >>>     assert x.dim() == 2
2025-12-04T09:03:48.2759908Z             >>>     assert weight.dim() == 2
2025-12-04T09:03:48.2760231Z             >>>     assert bias.dim() == 1
2025-12-04T09:03:48.2760668Z             >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T09:03:48.2761023Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T09:03:48.2761389Z             >>>     assert x.device == weight.device
2025-12-04T09:03:48.2761705Z             >>>
2025-12-04T09:03:48.2761940Z             >>>     return (x @ weight.t()) + bias
2025-12-04T09:03:48.2762255Z             >>>
2025-12-04T09:03:48.2762628Z             >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-12-04T09:03:48.2763007Z             >>>     x = torch.randn(2, 3)
2025-12-04T09:03:48.2763323Z             >>>     w = torch.randn(3, 3)
2025-12-04T09:03:48.2763630Z             >>>     b = torch.randn(3)
2025-12-04T09:03:48.2763954Z             >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-12-04T09:03:48.2764290Z             >>>
2025-12-04T09:03:48.2764547Z             >>> assert y.shape == (2, 3)
2025-12-04T09:03:48.2764841Z             >>>
2025-12-04T09:03:48.2765147Z             >>> # Example 2: an operator with data-dependent output shape
2025-12-04T09:03:48.2765648Z             >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-12-04T09:03:48.2766114Z             >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-12-04T09:03:48.2766466Z             >>>     x_np = x.numpy(force=True)
2025-12-04T09:03:48.2766824Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T09:03:48.2767300Z             >>>     return torch.tensor(res, device=x.device)
2025-12-04T09:03:48.2767689Z             >>>
2025-12-04T09:03:48.2768004Z             >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-12-04T09:03:48.2768434Z             >>> def _(x):
2025-12-04T09:03:48.2768753Z             >>> # Number of nonzero-elements is data-dependent.
2025-12-04T09:03:48.2769174Z             >>> # Since we cannot peek at the data in an fake impl,
2025-12-04T09:03:48.2769592Z             >>> # we use the ctx object to construct a new symint that
2025-12-04T09:03:48.2770000Z             >>> # represents the data-dependent size.
2025-12-04T09:03:48.2770366Z             >>>     ctx = torch.library.get_ctx()
2025-12-04T09:03:48.2770778Z             >>>     nnz = ctx.new_dynamic_size()
2025-12-04T09:03:48.2771099Z             >>>     shape = [nnz, x.dim()]
2025-12-04T09:03:48.2771516Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T09:03:48.2771888Z             >>>     return result
2025-12-04T09:03:48.2772204Z             >>>
2025-12-04T09:03:48.2772515Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-12-04T09:03:48.2772889Z             >>>
2025-12-04T09:03:48.2773123Z             >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-12-04T09:03:48.2773583Z             >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-12-04T09:03:48.2774051Z             >>> trace.print_readable()
2025-12-04T09:03:48.2774343Z             >>>
2025-12-04T09:03:48.2774680Z             >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-12-04T09:03:48.2775102Z     
2025-12-04T09:03:48.2775293Z         
2025-12-04T09:03:48.2776048Z     Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-12-04T09:03:48.2776762Z     
2025-12-04T09:03:48.2776961Z     _._ = None
2025-12-04T09:03:48.2777162Z     ^
2025-12-04T09:03:48.2777379Z       warnings.warn(msg)
2025-12-04T09:03:48.2777632Z     
2025-12-04T09:03:48.2777979Z --- Parse Warning: 3 / 17 ---
2025-12-04T09:03:48.2779034Z     /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.
2025-12-04T09:03:48.2780292Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:48.2780866Z     Returns the computed kernel for a given operator and dispatch key.
2025-12-04T09:03:48.2781421Z     
2025-12-04T09:03:48.2781754Z         This function retrieves the kernel that would be executed for a given
2025-12-04T09:03:48.2782323Z         operator and dispatch key combination. The returned SafeKernelFunction
2025-12-04T09:03:48.2782851Z         can be used to call the kernel in a boxed fashion. The intended use
2025-12-04T09:03:48.2783460Z         case for this function is to retrieve the original kernel for a given
2025-12-04T09:03:48.2784007Z         dispatch key and then register another kernel to the same dispatch key
2025-12-04T09:03:48.2784506Z         that calls into the original kernel for certain cases.
2025-12-04T09:03:48.2784856Z     
2025-12-04T09:03:48.2785055Z         Args:
2025-12-04T09:03:48.2785386Z             op: Operator name (along with the overload) or OpOverload object
2025-12-04T09:03:48.2785917Z                 Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-12-04T09:03:48.2786516Z             dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-12-04T09:03:48.2787079Z                 Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-12-04T09:03:48.2787471Z     
2025-12-04T09:03:48.2787653Z         Returns:
2025-12-04T09:03:48.2788025Z             torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-12-04T09:03:48.2788476Z                 call the kernel.
2025-12-04T09:03:48.2788730Z     
2025-12-04T09:03:48.2788923Z         Raises:
2025-12-04T09:03:48.2789201Z             RuntimeError: If the operator does not exist.
2025-12-04T09:03:48.2789519Z     
2025-12-04T09:03:48.2789713Z         Example:
2025-12-04T09:03:48.2789968Z             >>> # Get the CPU kernel for torch.add
2025-12-04T09:03:48.2790380Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-12-04T09:03:48.2790769Z             >>>
2025-12-04T09:03:48.2791020Z             >>> # You can also use DispatchKey enum
2025-12-04T09:03:48.2791508Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-12-04T09:03:48.2791953Z             >>>
2025-12-04T09:03:48.2792199Z             >>> # Or use an OpOverload directly
2025-12-04T09:03:48.2792642Z             >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-12-04T09:03:48.2793052Z             >>>
2025-12-04T09:03:48.2793395Z             >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-12-04T09:03:48.2793851Z             >>> # Get the original kernel for torch.sin
2025-12-04T09:03:48.2794299Z             >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-12-04T09:03:48.2794697Z             >>>
2025-12-04T09:03:48.2795048Z             >>> # If input has negative values, use original sin, otherwise return zeros
2025-12-04T09:03:48.2795532Z             >>> def conditional_sin_impl(dispatch_keys, x):
2025-12-04T09:03:48.2795871Z             >>>     if (x < 0).any():
2025-12-04T09:03:48.2796254Z             >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-12-04T09:03:48.2796646Z             >>>     else:
2025-12-04T09:03:48.2796907Z             >>>         return torch.zeros_like(x)
2025-12-04T09:03:48.2797215Z             >>>
2025-12-04T09:03:48.2797485Z             >>> lib = torch.library.Library("aten", "IMPL")
2025-12-04T09:03:48.2798001Z             >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-12-04T09:03:48.2798555Z             >>> which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T09:03:48.2799047Z             >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-12-04T09:03:48.2799441Z             >>>
2025-12-04T09:03:48.2799673Z             >>> # Test the conditional behavior
2025-12-04T09:03:48.2800022Z             >>> x_positive = torch.tensor([1.0, 2.0])
2025-12-04T09:03:48.2800370Z             >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-12-04T09:03:48.2800695Z             >>> torch.sin(x_positive)
2025-12-04T09:03:48.2801079Z             tensor([0., 0.])
2025-12-04T09:03:48.2801352Z             >>> torch.sin(x_mixed)
2025-12-04T09:03:48.2801647Z             tensor([-0.8415, 0.9093])
2025-12-04T09:03:48.2801916Z         
2025-12-04T09:03:48.2802512Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-12-04T09:03:48.2803247Z     
2025-12-04T09:03:48.2803533Z     which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T09:03:48.2803914Z           ^
2025-12-04T09:03:48.2804136Z       warnings.warn(msg)
2025-12-04T09:03:48.2804374Z     
2025-12-04T09:03:48.2804706Z --- Parse Warning: 4 / 17 ---
2025-12-04T09:03:48.2805824Z     /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.
2025-12-04T09:03:48.2807085Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:48.2817431Z     Check if the current accelerator is available at runtime: it was build, all the
2025-12-04T09:03:48.2818044Z         required drivers are available and at least one device is visible.
2025-12-04T09:03:48.2818517Z         See :ref:`accelerator<accelerators>` for details.
2025-12-04T09:03:48.2818876Z     
2025-12-04T09:03:48.2819083Z         Returns:
2025-12-04T09:03:48.2819485Z             bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-12-04T09:03:48.2820073Z     
2025-12-04T09:03:48.2820441Z         .. note:: This API delegates to the device-specific version of `is_available`.
2025-12-04T09:03:48.2821067Z             On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-12-04T09:03:48.2821682Z             this function will NOT poison fork. Otherwise, it will. For more details, see
2025-12-04T09:03:48.2822205Z             :ref:`multiprocessing-poison-fork-note`.
2025-12-04T09:03:48.2822541Z     
2025-12-04T09:03:48.2822730Z         Example::
2025-12-04T09:03:48.2822954Z     
2025-12-04T09:03:48.2823335Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:03:48.2823788Z         
2025-12-04T09:03:48.2824462Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-12-04T09:03:48.2825208Z     
2025-12-04T09:03:48.2825579Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:03:48.2826038Z                                             ^
2025-12-04T09:03:48.2826348Z       warnings.warn(msg)
2025-12-04T09:03:48.2826598Z     
2025-12-04T09:03:48.2826935Z --- Parse Warning: 5 / 17 ---
2025-12-04T09:03:48.2828065Z     /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.
2025-12-04T09:03:48.2829327Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:48.2829895Z     Wait for all kernels in all streams on the given device to complete.
2025-12-04T09:03:48.2830284Z     
2025-12-04T09:03:48.2830484Z         Args:
2025-12-04T09:03:48.2830923Z             device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-12-04T09:03:48.2831568Z                 the current :ref:`accelerator<accelerators>` device type. If not given,
2025-12-04T09:03:48.2832108Z                 use :func:`torch.accelerator.current_device_index` by default.
2025-12-04T09:03:48.2832498Z     
2025-12-04T09:03:48.2832917Z         .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-12-04T09:03:48.2833409Z     
2025-12-04T09:03:48.2833736Z         Example::
2025-12-04T09:03:48.2833960Z     
2025-12-04T09:03:48.2834199Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-12-04T09:03:48.2834721Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:03:48.2835250Z             >>> start_event = torch.Event(enable_timing=True)
2025-12-04T09:03:48.2835696Z             >>> end_event = torch.Event(enable_timing=True)
2025-12-04T09:03:48.2836055Z             >>> start_event.record()
2025-12-04T09:03:48.2836501Z             >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-12-04T09:03:48.2836969Z             >>> sum = torch.sum(tensor)
2025-12-04T09:03:48.2837270Z             >>> end_event.record()
2025-12-04T09:03:48.2837593Z             >>> torch.accelerator.synchronize()
2025-12-04T09:03:48.2837998Z             >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-12-04T09:03:48.2838353Z         
2025-12-04T09:03:48.2839023Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-12-04T09:03:48.2839774Z     
2025-12-04T09:03:48.2840128Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:03:48.2840608Z                                             ^
2025-12-04T09:03:48.2840918Z       warnings.warn(msg)
2025-12-04T09:03:48.2841165Z     
2025-12-04T09:03:48.2841447Z --- Parse Warning: 6 / 17 ---
2025-12-04T09:03:48.2842511Z     /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.
2025-12-04T09:03:48.2843700Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:48.2844168Z     Retrieves the CUDA runtime API module.
2025-12-04T09:03:48.2844477Z     
2025-12-04T09:03:48.2844680Z     
2025-12-04T09:03:48.2845027Z         This function initializes the CUDA runtime environment if it is not already
2025-12-04T09:03:48.2845626Z         initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-12-04T09:03:48.2846197Z         runtime API module provides access to various CUDA runtime functions.
2025-12-04T09:03:48.2846622Z     
2025-12-04T09:03:48.2846805Z         Args:
2025-12-04T09:03:48.2847025Z             ``None``
2025-12-04T09:03:48.2847252Z     
2025-12-04T09:03:48.2847435Z         Returns:
2025-12-04T09:03:48.2847719Z             module: The CUDA runtime API module (_cudart).
2025-12-04T09:03:48.2848056Z     
2025-12-04T09:03:48.2848239Z         Raises:
2025-12-04T09:03:48.2848604Z             RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-12-04T09:03:48.2849308Z             AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-12-04T09:03:48.2849860Z     
2025-12-04T09:03:48.2850098Z         Example of CUDA operations with profiling:
2025-12-04T09:03:48.2850438Z             >>> import torch
2025-12-04T09:03:48.2850750Z             >>> from torch.cuda import cudart, check_error
2025-12-04T09:03:48.2851079Z             >>> import os
2025-12-04T09:03:48.2851329Z             >>>
2025-12-04T09:03:48.2851576Z             >>> os.environ["CUDA_PROFILE"] = "1"
2025-12-04T09:03:48.2851878Z             >>>
2025-12-04T09:03:48.2852151Z             >>> def perform_cuda_operations_with_streams():
2025-12-04T09:03:48.2852516Z             >>>     stream = torch.cuda.Stream()
2025-12-04T09:03:48.2852849Z             >>>     with torch.cuda.stream(stream):
2025-12-04T09:03:48.2853210Z             >>>         x = torch.randn(100, 100, device='cuda')
2025-12-04T09:03:48.2853584Z             >>>         y = torch.randn(100, 100, device='cuda')
2025-12-04T09:03:48.2853921Z             >>>         z = torch.mul(x, y)
2025-12-04T09:03:48.2854228Z             >>>     return z
2025-12-04T09:03:48.2854559Z             >>>
2025-12-04T09:03:48.2854807Z             >>> torch.cuda.synchronize()
2025-12-04T09:03:48.2855146Z             >>> print("====== Start nsys profiling ======")
2025-12-04T09:03:48.2855534Z             >>> check_error(cudart().cudaProfilerStart())
2025-12-04T09:03:48.2855928Z             >>> with torch.autograd.profiler.emit_nvtx():
2025-12-04T09:03:48.2856382Z             >>>     result = perform_cuda_operations_with_streams()
2025-12-04T09:03:48.2856779Z             >>>     print("CUDA operations completed.")
2025-12-04T09:03:48.2857178Z             >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-12-04T09:03:48.2857569Z             >>> print("====== End nsys profiling ======")
2025-12-04T09:03:48.2857896Z     
2025-12-04T09:03:48.2858210Z         To run this example and save the profiling information, execute:
2025-12-04T09:03:48.2858880Z             >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T09:03:48.2859425Z     
2025-12-04T09:03:48.2859886Z         This command profiles the CUDA operations in the provided script and saves
2025-12-04T09:03:48.2860447Z         the profiling information to a file named `trace_name.prof`.
2025-12-04T09:03:48.2860973Z         The `--profile-from-start off` option ensures that profiling starts only
2025-12-04T09:03:48.2861472Z         after the `cudaProfilerStart` call in the script.
2025-12-04T09:03:48.2861958Z         The `--csv` and `--print-summary` options format the profiling output as a
2025-12-04T09:03:48.2862430Z         CSV file and print a summary, respectively.
2025-12-04T09:03:48.2862904Z         The `-o` option specifies the output file name, and the `-f` option forces the
2025-12-04T09:03:48.2863416Z         overwrite of the output file if it already exists.
2025-12-04T09:03:48.2863762Z         
2025-12-04T09:03:48.2864509Z     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))
2025-12-04T09:03:48.2865340Z     
2025-12-04T09:03:48.2865791Z     $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T09:03:48.2866335Z     ^
2025-12-04T09:03:48.2866532Z       warnings.warn(msg)
2025-12-04T09:03:48.2866777Z     
2025-12-04T09:03:48.2867092Z --- Parse Warning: 7 / 17 ---
2025-12-04T09:03:48.2868143Z     /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.
2025-12-04T09:03:48.2869327Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:48.2869768Z     
2025-12-04T09:03:48.2870083Z     vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-12-04T09:03:48.2870618Z     maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-12-04T09:03:48.2871156Z     pushes the map into PyTorch operations called by ``func``, effectively
2025-12-04T09:03:48.2871601Z     vectorizing those operations.
2025-12-04T09:03:48.2871874Z     
2025-12-04T09:03:48.2872196Z     vmap is useful for handling batch dimensions: one can write a function
2025-12-04T09:03:48.2872730Z     ``func`` that runs on examples and then lift it to a function that can
2025-12-04T09:03:48.2873251Z     take batches of examples with ``vmap(func)``. vmap can also be used to
2025-12-04T09:03:48.2873747Z     compute batched gradients when composed with autograd.
2025-12-04T09:03:48.2874106Z     
2025-12-04T09:03:48.2874295Z     .. note::
2025-12-04T09:03:48.2874610Z         :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-12-04T09:03:48.2875035Z         convenience. Use whichever one you'd like.
2025-12-04T09:03:48.2875526Z     
2025-12-04T09:03:48.2875710Z     Args:
2025-12-04T09:03:48.2876041Z         func (function): A Python function that takes one or more arguments.
2025-12-04T09:03:48.2876620Z             Must return one or more Tensors.
2025-12-04T09:03:48.2877029Z         in_dims (int or nested structure): Specifies which dimension of the
2025-12-04T09:03:48.2877528Z             inputs should be mapped over. ``in_dims`` should have a
2025-12-04T09:03:48.2878011Z             structure like the inputs. If the ``in_dim`` for a particular
2025-12-04T09:03:48.2878570Z             input is None, then that indicates there is no map dimension.
2025-12-04T09:03:48.2878969Z             Default: 0.
2025-12-04T09:03:48.2879331Z         out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-12-04T09:03:48.2879841Z             should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-12-04T09:03:48.2880293Z             it should have one element per output. Default: 0.
2025-12-04T09:03:48.2880748Z         randomness (str): Specifies whether the randomness in this
2025-12-04T09:03:48.2881249Z             vmap should be the same or different across batches. If 'different',
2025-12-04T09:03:48.2881764Z             the randomness for each batch will be different. If 'same', the
2025-12-04T09:03:48.2882292Z             randomness will be the same across batches. If 'error', any calls to
2025-12-04T09:03:48.2882833Z             random functions will error. Default: 'error'. WARNING: this flag
2025-12-04T09:03:48.2883364Z             only applies to random PyTorch operations and does not apply to
2025-12-04T09:03:48.2883804Z             Python's random module or numpy randomness.
2025-12-04T09:03:48.2884272Z         chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-12-04T09:03:48.2884830Z             If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-12-04T09:03:48.2885422Z             Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-12-04T09:03:48.2886047Z             If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-12-04T09:03:48.2886516Z     
2025-12-04T09:03:48.2886712Z     Returns:
2025-12-04T09:03:48.2887014Z         Returns a new "batched" function. It takes the same inputs as
2025-12-04T09:03:48.2887496Z         ``func``, except each input has an extra dimension at the index
2025-12-04T09:03:48.2887982Z         specified by ``in_dims``. It takes returns the same outputs as
2025-12-04T09:03:48.2888457Z         ``func``, except each output has an extra dimension at the index
2025-12-04T09:03:48.2888860Z         specified by ``out_dims``.
2025-12-04T09:03:48.2889139Z     
2025-12-04T09:03:48.2889320Z     .. warning:
2025-12-04T09:03:48.2889652Z         :func:`vmap` works best with functional-style code. Please do not
2025-12-04T09:03:48.2890147Z         perform any side-effects in ``func``, with the exception of
2025-12-04T09:03:48.2890681Z         in-place PyTorch operations. Examples of side-effects include mutating
2025-12-04T09:03:48.2891247Z         Python data structures and assigning values to variables not captured
2025-12-04T09:03:48.2891678Z         in ``func``.
2025-12-04T09:03:48.2891904Z     
2025-12-04T09:03:48.2892236Z     One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-12-04T09:03:48.2892811Z     doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-12-04T09:03:48.2893362Z     rummaging through docs, use :func:`vmap` to construct a new function.
2025-12-04T09:03:48.2893782Z     
2025-12-04T09:03:48.2893988Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T09:03:48.2894399Z         >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-12-04T09:03:48.2894844Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T09:03:48.2895170Z         >>> batched_dot(x, y)
2025-12-04T09:03:48.2895434Z     
2025-12-04T09:03:48.2895771Z     :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-12-04T09:03:48.2896209Z     model authoring experience.
2025-12-04T09:03:48.2896481Z     
2025-12-04T09:03:48.2896705Z         >>> batch_size, feature_size = 3, 5
2025-12-04T09:03:48.2897157Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T09:03:48.2897532Z         >>>
2025-12-04T09:03:48.2897757Z         >>> def model(feature_vec):
2025-12-04T09:03:48.2898092Z         >>> # Very simple linear model with activation
2025-12-04T09:03:48.2898445Z         >>>     return feature_vec.dot(weights).relu()
2025-12-04T09:03:48.2898840Z         >>>
2025-12-04T09:03:48.2899115Z         >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T09:03:48.2899484Z         >>> result = torch.vmap(model)(examples)
2025-12-04T09:03:48.2899906Z     
2025-12-04T09:03:48.2900271Z     :func:`vmap` can also help vectorize computations that were previously difficult
2025-12-04T09:03:48.2900856Z     or impossible to batch. One example is higher-order gradient computation.
2025-12-04T09:03:48.2901431Z     The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-12-04T09:03:48.2902006Z     Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-12-04T09:03:48.2902600Z     requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-12-04T09:03:48.2903181Z     we can vectorize the whole computation, computing the Jacobian in a single
2025-12-04T09:03:48.2903635Z     call to ``autograd.grad``.
2025-12-04T09:03:48.2903901Z     
2025-12-04T09:03:48.2904086Z         >>> # Setup
2025-12-04T09:03:48.2904309Z         >>> N = 5
2025-12-04T09:03:48.2904539Z         >>> f = lambda x: x**2
2025-12-04T09:03:48.2904828Z         >>> x = torch.randn(N, requires_grad=True)
2025-12-04T09:03:48.2905148Z         >>> y = f(x)
2025-12-04T09:03:48.2905392Z         >>> I_N = torch.eye(N)
2025-12-04T09:03:48.2905637Z         >>>
2025-12-04T09:03:48.2905857Z         >>> # Sequential approach
2025-12-04T09:03:48.2906260Z         >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-12-04T09:03:48.2906698Z         >>>                  for v in I_N.unbind()]
2025-12-04T09:03:48.2907036Z         >>> jacobian = torch.stack(jacobian_rows)
2025-12-04T09:03:48.2907347Z         >>>
2025-12-04T09:03:48.2907585Z         >>> # vectorized gradient computation
2025-12-04T09:03:48.2907891Z         >>> def get_vjp(v):
2025-12-04T09:03:48.2908182Z         >>>     return torch.autograd.grad(y, x, v)
2025-12-04T09:03:48.2908537Z         >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-12-04T09:03:48.2908842Z     
2025-12-04T09:03:48.2909218Z     :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-12-04T09:03:48.2909675Z     
2025-12-04T09:03:48.2909875Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T09:03:48.2910193Z         >>> batched_dot = torch.vmap(
2025-12-04T09:03:48.2910507Z         ...     torch.vmap(torch.dot)
2025-12-04T09:03:48.2910832Z         ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-12-04T09:03:48.2911183Z         >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-12-04T09:03:48.2911559Z         >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-12-04T09:03:48.2911876Z     
2025-12-04T09:03:48.2912212Z     If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-12-04T09:03:48.2912779Z     the dimension that each inputs are batched along as
2025-12-04T09:03:48.2913195Z     
2025-12-04T09:03:48.2913398Z         >>> torch.dot  # [N], [N] -> []
2025-12-04T09:03:48.2913824Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-12-04T09:03:48.2914289Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T09:03:48.2914608Z         >>> batched_dot(
2025-12-04T09:03:48.2914855Z         ...     x, y
2025-12-04T09:03:48.2915189Z         ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-12-04T09:03:48.2915577Z     
2025-12-04T09:03:48.2915933Z     If there are multiple inputs each of which is batched along different dimensions,
2025-12-04T09:03:48.2916504Z     ``in_dims`` must be a tuple with the batch dimension for each input as
2025-12-04T09:03:48.2917220Z     
2025-12-04T09:03:48.2917570Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T09:03:48.2918105Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-12-04T09:03:48.2918579Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T09:03:48.2918897Z         >>> batched_dot(
2025-12-04T09:03:48.2919142Z         ...     x, y
2025-12-04T09:03:48.2919553Z         ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-12-04T09:03:48.2919945Z     
2025-12-04T09:03:48.2920281Z     If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-12-04T09:03:48.2920749Z     matching the shape of the input:
2025-12-04T09:03:48.2921040Z     
2025-12-04T09:03:48.2921276Z         >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-12-04T09:03:48.2921654Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T09:03:48.2921984Z         >>> input = {"x": x, "y": y}
2025-12-04T09:03:48.2922350Z         >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-12-04T09:03:48.2922741Z         >>> batched_dot(input)
2025-12-04T09:03:48.2923003Z     
2025-12-04T09:03:48.2923372Z     By default, the output is batched along the first dimension. However, it can be batched
2025-12-04T09:03:48.2923888Z     along any dimension by using ``out_dims``
2025-12-04T09:03:48.2924198Z     
2025-12-04T09:03:48.2924407Z         >>> f = lambda x: x**2
2025-12-04T09:03:48.2924674Z         >>> x = torch.randn(2, 5)
2025-12-04T09:03:48.2924987Z         >>> batched_pow = torch.vmap(f, out_dims=1)
2025-12-04T09:03:48.2925314Z         >>> batched_pow(x)  # [5, 2]
2025-12-04T09:03:48.2925590Z     
2025-12-04T09:03:48.2925986Z     For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-12-04T09:03:48.2926481Z     accept kwargs
2025-12-04T09:03:48.2926690Z     
2025-12-04T09:03:48.2926900Z         >>> x = torch.randn([2, 5])
2025-12-04T09:03:48.2927198Z         >>> def fn(x, scale=4.):
2025-12-04T09:03:48.2927470Z         >>>   return x * scale
2025-12-04T09:03:48.2927730Z         >>>
2025-12-04T09:03:48.2927957Z         >>> batched_pow = torch.vmap(fn)
2025-12-04T09:03:48.2928301Z         >>> assert torch.allclose(batched_pow(x), x * 4)
2025-12-04T09:03:48.2928769Z         >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-12-04T09:03:48.2929198Z     
2025-12-04T09:03:48.2929389Z     .. note::
2025-12-04T09:03:48.2929739Z         vmap does not provide general autobatching or handle variable-length
2025-12-04T09:03:48.2930177Z         sequences out of the box.
2025-12-04T09:03:48.2930442Z     
2025-12-04T09:03:48.2931065Z     Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-12-04T09:03:48.2931775Z     
2025-12-04T09:03:48.2931968Z     _._ = None
2025-12-04T09:03:48.2932170Z     ^
2025-12-04T09:03:48.2932384Z       warnings.warn(msg)
2025-12-04T09:03:48.2932637Z     
2025-12-04T09:03:48.2932965Z --- Parse Warning: 8 / 17 ---
2025-12-04T09:03:48.2934035Z     /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.
2025-12-04T09:03:48.2935221Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:48.2935824Z     ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-12-04T09:03:48.2936358Z         input(s) specified by ``argnums``. This operator can be nested to
2025-12-04T09:03:48.2936786Z         compute higher-order gradients.
2025-12-04T09:03:48.2937084Z     
2025-12-04T09:03:48.2937265Z         Args:
2025-12-04T09:03:48.2937602Z             func (Callable): A Python function that takes one or more arguments.
2025-12-04T09:03:48.2938192Z                 Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-12-04T09:03:48.2938894Z                 function can return a tuple of single-element Tensor and other auxiliary objects:
2025-12-04T09:03:48.2939374Z                 ``(output, aux)``.
2025-12-04T09:03:48.2939948Z             argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-12-04T09:03:48.2940601Z                 ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-12-04T09:03:48.2941130Z             has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-12-04T09:03:48.2941630Z                 auxiliary objects: ``(output, aux)``. Default: False.
2025-12-04T09:03:48.2941993Z     
2025-12-04T09:03:48.2942182Z         Returns:
2025-12-04T09:03:48.2942599Z             Function to compute gradients with respect to its inputs. By default, the output of
2025-12-04T09:03:48.2943231Z             the function is the gradient tensor(s) with respect to the first argument.
2025-12-04T09:03:48.2943858Z             If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-12-04T09:03:48.2944477Z             is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-12-04T09:03:48.2944987Z             respect to each ``argnums`` value is returned.
2025-12-04T09:03:48.2945323Z     
2025-12-04T09:03:48.2945522Z         Example of using ``grad``:
2025-12-04T09:03:48.2945799Z     
2025-12-04T09:03:48.2946002Z             >>> # xdoctest: +SKIP
2025-12-04T09:03:48.2946288Z             >>> from torch.func import grad
2025-12-04T09:03:48.2946611Z             >>> x = torch.randn([])
2025-12-04T09:03:48.2946934Z             >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-12-04T09:03:48.2947297Z             >>> assert torch.allclose(cos_x, x.cos())
2025-12-04T09:03:48.2947601Z             >>>
2025-12-04T09:03:48.2947840Z             >>> # Second-order gradients
2025-12-04T09:03:48.2948199Z             >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-12-04T09:03:48.2948588Z             >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-12-04T09:03:48.2948916Z     
2025-12-04T09:03:48.2949275Z         When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-12-04T09:03:48.2949711Z     
2025-12-04T09:03:48.2949919Z             >>> # xdoctest: +SKIP
2025-12-04T09:03:48.2950231Z             >>> from torch.func import grad, vmap
2025-12-04T09:03:48.2950563Z             >>> batch_size, feature_size = 3, 5
2025-12-04T09:03:48.2950872Z             >>>
2025-12-04T09:03:48.2951119Z             >>> def model(weights, feature_vec):
2025-12-04T09:03:48.2951477Z             >>> # Very simple linear model with activation
2025-12-04T09:03:48.2951819Z             >>>     assert feature_vec.dim() == 1
2025-12-04T09:03:48.2952169Z             >>>     return feature_vec.dot(weights).relu()
2025-12-04T09:03:48.2952491Z             >>>
2025-12-04T09:03:48.2952742Z             >>> def compute_loss(weights, example, target):
2025-12-04T09:03:48.2953110Z             >>>     y = model(weights, example)
2025-12-04T09:03:48.2953470Z             >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-12-04T09:03:48.2953787Z             >>>
2025-12-04T09:03:48.2954089Z             >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T09:03:48.2954527Z             >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T09:03:48.2954911Z             >>> targets = torch.randn(batch_size)
2025-12-04T09:03:48.2955253Z             >>> inputs = (weights, examples, targets)
2025-12-04T09:03:48.2955718Z             >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-12-04T09:03:48.2956160Z             ...     *inputs
2025-12-04T09:03:48.2956395Z             ... )
2025-12-04T09:03:48.2956610Z     
2025-12-04T09:03:48.2956897Z         Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-12-04T09:03:48.2957258Z     
2025-12-04T09:03:48.2957468Z             >>> # xdoctest: +SKIP
2025-12-04T09:03:48.2957843Z             >>> from torch.func import grad
2025-12-04T09:03:48.2958159Z             >>> def my_loss_func(y, y_pred):
2025-12-04T09:03:48.2958508Z             >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-12-04T09:03:48.2958868Z             >>>    loss = loss_per_sample.mean()
2025-12-04T09:03:48.2959223Z             >>>    return loss, (y_pred, loss_per_sample)
2025-12-04T09:03:48.2959665Z             >>>
2025-12-04T09:03:48.2959950Z             >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-12-04T09:03:48.2960315Z             >>> y_true = torch.rand(4)
2025-12-04T09:03:48.2960642Z             >>> y_preds = torch.rand(4, requires_grad=True)
2025-12-04T09:03:48.2960998Z             >>> out = fn(y_true, y_preds)
2025-12-04T09:03:48.2961450Z             >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-12-04T09:03:48.2961875Z     
2025-12-04T09:03:48.2962078Z         .. note::
2025-12-04T09:03:48.2962382Z             Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-12-04T09:03:48.2962737Z     
2025-12-04T09:03:48.2962995Z             Case 1: Using ``torch.no_grad`` inside a function:
2025-12-04T09:03:48.2963334Z     
2025-12-04T09:03:48.2963546Z                 >>> # xdoctest: +SKIP
2025-12-04T09:03:48.2963829Z                 >>> def f(x):
2025-12-04T09:03:48.2964112Z                 >>>     with torch.no_grad():
2025-12-04T09:03:48.2964433Z                 >>>         c = x ** 2
2025-12-04T09:03:48.2964715Z                 >>>     return x - c
2025-12-04T09:03:48.2964990Z     
2025-12-04T09:03:48.2965290Z             In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-12-04T09:03:48.2965671Z     
2025-12-04T09:03:48.2965959Z             Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-12-04T09:03:48.2966340Z     
2025-12-04T09:03:48.2966544Z                 >>> # xdoctest: +SKIP
2025-12-04T09:03:48.2966838Z                 >>> with torch.no_grad():
2025-12-04T09:03:48.2967138Z                 >>>     grad(f)(x)
2025-12-04T09:03:48.2967407Z     
2025-12-04T09:03:48.2967719Z             In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-12-04T09:03:48.2968274Z             outer one. This is because ``grad`` is a "function transform": its result
2025-12-04T09:03:48.2968825Z             should not depend on the result of a context manager outside of ``f``.
2025-12-04T09:03:48.2969234Z     
2025-12-04T09:03:48.2969424Z         
2025-12-04T09:03:48.2970050Z     Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-12-04T09:03:48.2970756Z     
2025-12-04T09:03:48.2970936Z     _._ = None
2025-12-04T09:03:48.2971141Z     ^
2025-12-04T09:03:48.2971342Z       warnings.warn(msg)
2025-12-04T09:03:48.2971573Z     
2025-12-04T09:03:48.2971882Z --- Parse Warning: 9 / 17 ---
2025-12-04T09:03:48.2973068Z     /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.
2025-12-04T09:03:48.2974370Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:48.2974908Z     Register a FakeTensor implementation for this custom op.
2025-12-04T09:03:48.2975271Z     
2025-12-04T09:03:48.2975815Z             This is necessary to get the operator to work efficiently with torch.compile.
2025-12-04T09:03:48.2976246Z     
2025-12-04T09:03:48.2976566Z             The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-12-04T09:03:48.2977128Z             specifies the behavior of this operator on Tensors that carry no data.
2025-12-04T09:03:48.2977606Z             Given some input Tensors with certain properties
2025-12-04T09:03:48.2978116Z             (sizes/strides/storage_offset/device), it specifies what the properties of
2025-12-04T09:03:48.2978736Z             the output Tensors are.
2025-12-04T09:03:48.2979001Z     
2025-12-04T09:03:48.2979308Z             Please see :func:`torch.library.register_fake` for more details.
2025-12-04T09:03:48.2979786Z     
2025-12-04T09:03:48.2979976Z             Args:
2025-12-04T09:03:48.2980272Z                 fn (Callable): The function to register as the FakeTensor
2025-12-04T09:03:48.2980746Z                     implementation.
2025-12-04T09:03:48.2981022Z     
2025-12-04T09:03:48.2981203Z             Examples:
2025-12-04T09:03:48.2981442Z                 >>> import torch
2025-12-04T09:03:48.2981721Z                 >>> import numpy as np
2025-12-04T09:03:48.2982023Z                 >>> from torch import Tensor
2025-12-04T09:03:48.2982317Z                 >>>
2025-12-04T09:03:48.2982632Z                 >>> # Example 1: an operator without data-dependent output shape
2025-12-04T09:03:48.2983112Z                 >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-12-04T09:03:48.2983606Z                 >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T09:03:48.2984026Z                 >>>     return (x @ weight.t()) + bias
2025-12-04T09:03:48.2984332Z                 >>>
2025-12-04T09:03:48.2984565Z                 >>> @linear.register_fake
2025-12-04T09:03:48.2984883Z                 >>> def _(x, weight, bias):
2025-12-04T09:03:48.2985204Z                 >>>     assert x.dim() == 2
2025-12-04T09:03:48.2985513Z                 >>>     assert weight.dim() == 2
2025-12-04T09:03:48.2985840Z                 >>>     assert bias.dim() == 1
2025-12-04T09:03:48.2986183Z                 >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T09:03:48.2986540Z                 >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T09:03:48.2986900Z                 >>>     assert x.device == weight.device
2025-12-04T09:03:48.2987271Z                 >>>     return x.new_empty(x.size(0), weight.size(0))
2025-12-04T09:03:48.2987613Z                 >>>
2025-12-04T09:03:48.2987843Z                 >>> x = torch.randn(2, 2)
2025-12-04T09:03:48.2988162Z                 >>> weight = torch.randn(2, 2)
2025-12-04T09:03:48.2988479Z                 >>> bias = torch.randn(2)
2025-12-04T09:03:48.2988809Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:03:48.2989240Z                 >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-12-04T09:03:48.2989678Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:03:48.2990158Z                 >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-12-04T09:03:48.2990596Z                 >>>
2025-12-04T09:03:48.2990904Z                 >>> # Example 2: an operator with data-dependent output shape
2025-12-04T09:03:48.2991387Z                 >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-12-04T09:03:48.2991801Z                 >>> def nonzero(x: Tensor) -> Tensor:
2025-12-04T09:03:48.2992138Z                 >>>     x_np = x.cpu().numpy()
2025-12-04T09:03:48.2992484Z                 >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T09:03:48.2992853Z                 >>>     return torch.tensor(res, device=x.device)
2025-12-04T09:03:48.2993189Z                 >>>
2025-12-04T09:03:48.2993427Z                 >>> @nonzero.register_fake
2025-12-04T09:03:48.2993729Z                 >>> def _(x):
2025-12-04T09:03:48.2994045Z                 >>> # Number of nonzero-elements is data-dependent.
2025-12-04T09:03:48.2994474Z                 >>> # Since we cannot peek at the data in an abstract impl,
2025-12-04T09:03:48.2994905Z                 >>> # we use the ctx object to construct a new symint that
2025-12-04T09:03:48.2995300Z                 >>> # represents the data-dependent size.
2025-12-04T09:03:48.2995659Z                 >>>     ctx = torch.library.get_ctx()
2025-12-04T09:03:48.2996007Z                 >>>     nnz = ctx.new_dynamic_size()
2025-12-04T09:03:48.2996332Z                 >>>     shape = [nnz, x.dim()]
2025-12-04T09:03:48.2996764Z                 >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T09:03:48.2997126Z                 >>>     return result
2025-12-04T09:03:48.2997401Z                 >>>
2025-12-04T09:03:48.2997640Z                 >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-12-04T09:03:48.2998000Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:03:48.2998443Z                 >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-12-04T09:03:48.2998826Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:03:48.2999197Z                 >>> assert torch.allclose(out, x.nonzero())
2025-12-04T09:03:48.2999520Z     
2025-12-04T09:03:48.2999699Z             
2025-12-04T09:03:48.3000340Z     Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-12-04T09:03:48.3001054Z     
2025-12-04T09:03:48.3001248Z     _._ = None
2025-12-04T09:03:48.3001452Z     ^
2025-12-04T09:03:48.3001659Z       warnings.warn(msg)
2025-12-04T09:03:48.3001902Z     
2025-12-04T09:03:48.3002215Z --- Parse Warning: 10 / 17 ---
2025-12-04T09:03:48.3003418Z     /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.
2025-12-04T09:03:48.3004764Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-12-04T09:03:48.3005233Z     
2025-12-04T09:03:48.3005564Z     Registers a fake kernel based on the given operator profiles. This fake
2025-12-04T09:03:48.3006158Z     kernel registration will override any existing fake kernel registrations.
2025-12-04T09:03:48.3006605Z     
2025-12-04T09:03:48.3006916Z     The input is a dictionary mapping operator names to a set of operator
2025-12-04T09:03:48.3007486Z     profiles, which we will use to generate fake kernels. The operator profiles
2025-12-04T09:03:48.3008041Z     are a record of the input and output tensor metadata. Based on this
2025-12-04T09:03:48.3008585Z     information we will match a given input to the recorded profile, and return
2025-12-04T09:03:48.3009162Z     an output with the same metadata as in the recorded profile. If a profile
2025-12-04T09:03:48.3009650Z     doesn't exist then an exception will be thrown.
2025-12-04T09:03:48.3009984Z     
2025-12-04T09:03:48.3010311Z     The fake kernel generation is considered unsafe because it relies on the
2025-12-04T09:03:48.3010884Z     rigid, pre-defined operator profiles that do not account for potential
2025-12-04T09:03:48.3011473Z     variations in output behavior. Specifically, the generated kernels assume a
2025-12-04T09:03:48.3012074Z     fixed relationship between input and output ranks. However, in reality, it's
2025-12-04T09:03:48.3012679Z     possible that data-dependent operations may produce outputs of different
2025-12-04T09:03:48.3013254Z     ranks even when given inputs of the same rank. The generated fake kernels
2025-12-04T09:03:48.3013810Z     are inflexible and unable to accommodate these nuances, making them
2025-12-04T09:03:48.3014227Z     potentially unsafe.
2025-12-04T09:03:48.3014469Z     
2025-12-04T09:03:48.3014661Z     Args:
2025-12-04T09:03:48.3014984Z         op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-12-04T09:03:48.3015603Z             name to a set of operator profiles from which we will generate fake
2025-12-04T09:03:48.3016075Z             kernels.
2025-12-04T09:03:48.3016296Z     
2025-12-04T09:03:48.3016497Z     Examples:
2025-12-04T09:03:48.3016711Z     
2025-12-04T09:03:48.3016978Z         >>> # Example: Registering an op-profile from draft-export
2025-12-04T09:03:48.3017355Z         >>> import torch
2025-12-04T09:03:48.3017681Z         >>> from torch.export._draft_export import draft_export
2025-12-04T09:03:48.3018041Z         >>>
2025-12-04T09:03:48.3018329Z         >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-12-04T09:03:48.3018829Z         >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-12-04T09:03:48.3019165Z         >>>     return x + y
2025-12-04T09:03:48.3019408Z         >>>
2025-12-04T09:03:48.3019742Z         >>> class M(torch.nn.Module):
2025-12-04T09:03:48.3020062Z         >>>     def forward(self, a, b):
2025-12-04T09:03:48.3020472Z         >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-12-04T09:03:48.3020831Z         >>>         return res
2025-12-04T09:03:48.3021093Z         >>>
2025-12-04T09:03:48.3021375Z         >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-12-04T09:03:48.3021748Z         >>>
2025-12-04T09:03:48.3022167Z         >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-12-04T09:03:48.3022706Z         >>>     decomp = ep.run_decompositions()
2025-12-04T09:03:48.3023005Z     
2025-12-04T09:03:48.3023195Z     
2025-12-04T09:03:48.3023778Z     Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-12-04T09:03:48.3024438Z     
2025-12-04T09:03:48.3024644Z       warnings.warn(msg)
2025-12-04T09:03:48.3024888Z     
2025-12-04T09:03:48.3025194Z --- Parse Warning: 11 / 17 ---
2025-12-04T09:03:48.3026607Z     /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.
2025-12-04T09:03:48.3028140Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:48.3028585Z     
2025-12-04T09:03:48.3028947Z     The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-12-04T09:03:48.3029553Z     network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-12-04T09:03:48.3030146Z     zeroes out the activations based on the mask_fn (or sparsification function)
2025-12-04T09:03:48.3030591Z     input by the user.
2025-12-04T09:03:48.3030969Z     The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-12-04T09:03:48.3031461Z     mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-12-04T09:03:48.3031806Z     
2025-12-04T09:03:48.3031993Z     Note::
2025-12-04T09:03:48.3032432Z         The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-12-04T09:03:48.3032950Z     
2025-12-04T09:03:48.3033128Z     Args:
2025-12-04T09:03:48.3033340Z         model (nn.Module):
2025-12-04T09:03:48.3033729Z             The model whose layers will be sparsified. The layers that needs to be
2025-12-04T09:03:48.3034291Z             sparsified should be added separately using the register_layer() function
2025-12-04T09:03:48.3034765Z         aggregate_fn (Optional, Callable):
2025-12-04T09:03:48.3035239Z             default aggregate_fn that is used if not specified while registering the layer.
2025-12-04T09:03:48.3035782Z             specifies how inputs should be aggregated over time.
2025-12-04T09:03:48.3036330Z             The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-12-04T09:03:48.3036815Z             Example
2025-12-04T09:03:48.3037139Z                 def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-12-04T09:03:48.3037539Z                 reduce_fn (Optional, Callable):
2025-12-04T09:03:48.3038014Z                     default reduce_fn that is used if not specified while registering the layer.
2025-12-04T09:03:48.3038627Z                     reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-12-04T09:03:48.3039117Z                     calling agg_fn() on all inputs.
2025-12-04T09:03:48.3039423Z                     Example
2025-12-04T09:03:48.3039783Z                 def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-12-04T09:03:48.3040288Z                 mask_fn (Optional, Callable):
2025-12-04T09:03:48.3040801Z                     default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-12-04T09:03:48.3041480Z                     calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-12-04T09:03:48.3041951Z                     register_layer().
2025-12-04T09:03:48.3042564Z                     Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-12-04T09:03:48.3043110Z                     arguments.
2025-12-04T09:03:48.3043403Z                 features (Optional, list):
2025-12-04T09:03:48.3043757Z                     default selected features to sparsify.
2025-12-04T09:03:48.3044253Z                     If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-12-04T09:03:48.3044742Z                     For example,
2025-12-04T09:03:48.3045179Z                 mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-12-04T09:03:48.3045669Z                 feature_dim (Optional, int):
2025-12-04T09:03:48.3046150Z                     default dimension of input features. Again, features along this dim will be chosen
2025-12-04T09:03:48.3046648Z                     for sparsification.
2025-12-04T09:03:48.3046970Z                 sparse_config (Dict):
2025-12-04T09:03:48.3047380Z                     Default configuration for the mask_fn. This config will be passed
2025-12-04T09:03:48.3047827Z                     with the mask_fn()
2025-12-04T09:03:48.3048121Z     
2025-12-04T09:03:48.3048309Z     Example:
2025-12-04T09:03:48.3048538Z         >>> # xdoctest: +SKIP
2025-12-04T09:03:48.3048820Z         >>> model = SomeModel()
2025-12-04T09:03:48.3049230Z         >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-12-04T09:03:48.3049698Z         >>> # Initialize aggregate_fn
2025-12-04T09:03:48.3050003Z         >>> def agg_fn(x, y):
2025-12-04T09:03:48.3050280Z         >>>     return x + y
2025-12-04T09:03:48.3050529Z         >>>
2025-12-04T09:03:48.3050752Z         >>> # Initialize reduce_fn
2025-12-04T09:03:48.3051041Z         >>> def reduce_fn(x):
2025-12-04T09:03:48.3051314Z         >>>     return torch.mean(x, dim=0)
2025-12-04T09:03:48.3051612Z         >>>
2025-12-04T09:03:48.3051827Z         >>> # Initialize mask_fn
2025-12-04T09:03:48.3052099Z         >>> def mask_fn(data):
2025-12-04T09:03:48.3052417Z         >>>     return torch.eye(data.shape).to(data.device)
2025-12-04T09:03:48.3052755Z         >>>
2025-12-04T09:03:48.3052943Z         >>>
2025-12-04T09:03:48.3053172Z         >>> act_sparsifier.register_layer(
2025-12-04T09:03:48.3053493Z         ...     model.some_layer,
2025-12-04T09:03:48.3053772Z         ...     aggregate_fn=agg_fn,
2025-12-04T09:03:48.3054073Z         ...     reduce_fn=reduce_fn,
2025-12-04T09:03:48.3054367Z         ...     mask_fn=mask_fn,
2025-12-04T09:03:48.3054635Z         ... )
2025-12-04T09:03:48.3054835Z         >>>
2025-12-04T09:03:48.3055056Z         >>> # start training process
2025-12-04T09:03:48.3055345Z         >>> for _ in [...]:
2025-12-04T09:03:48.3055593Z         >>> # epoch starts
2025-12-04T09:03:48.3055924Z         >>> # model.forward(), compute_loss() and model.backwards()
2025-12-04T09:03:48.3056292Z         >>> # epoch ends
2025-12-04T09:03:48.3056549Z         >>>     act_sparsifier.step()
2025-12-04T09:03:48.3056854Z         >>> # end training process
2025-12-04T09:03:48.3057153Z         >>> sparsifier.squash_mask()
2025-12-04T09:03:48.3057420Z     
2025-12-04T09:03:48.3058021Z     Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-12-04T09:03:48.3058710Z     
2025-12-04T09:03:48.3058907Z     _._ = None
2025-12-04T09:03:48.3059107Z     ^
2025-12-04T09:03:48.3059315Z       warnings.warn(msg)
2025-12-04T09:03:48.3059672Z     
2025-12-04T09:03:48.3059990Z --- Parse Warning: 12 / 17 ---
2025-12-04T09:03:48.3061272Z     /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.
2025-12-04T09:03:48.3062583Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:48.3063067Z     
2025-12-04T09:03:48.3063447Z     Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-12-04T09:03:48.3064095Z     The submesh created consists of the dimensions and the communicators indicated by
2025-12-04T09:03:48.3064565Z     ``mesh_dim_names``
2025-12-04T09:03:48.3064787Z     
2025-12-04T09:03:48.3064976Z     Args:
2025-12-04T09:03:48.3065329Z         mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-12-04T09:03:48.3065855Z         mesh dimension of the DeviceMesh to create the submesh for.
2025-12-04T09:03:48.3066234Z     Returns:
2025-12-04T09:03:48.3066460Z         A :class:`DeviceMesh` object
2025-12-04T09:03:48.3066728Z     
2025-12-04T09:03:48.3067115Z     The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-12-04T09:03:48.3067608Z     In the first example:
2025-12-04T09:03:48.3068021Z         Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-12-04T09:03:48.3068627Z         Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-12-04T09:03:48.3069205Z         Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-12-04T09:03:48.3069764Z         Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-12-04T09:03:48.3070309Z         Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-12-04T09:03:48.3070862Z         Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-12-04T09:03:48.3071283Z     
2025-12-04T09:03:48.3071487Z     In the second example:
2025-12-04T09:03:48.3071908Z         Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-12-04T09:03:48.3072547Z         Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-12-04T09:03:48.3073184Z         Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-12-04T09:03:48.3073810Z         Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-12-04T09:03:48.3074269Z     
2025-12-04T09:03:48.3074472Z     Example::
2025-12-04T09:03:48.3074669Z     
2025-12-04T09:03:48.3074885Z         >>> # xdoctest: +SKIP("no rank")
2025-12-04T09:03:48.3075272Z         >>> from torch.distributed.device_mesh import DeviceMesh
2025-12-04T09:03:48.3075840Z         >>>
2025-12-04T09:03:48.3076148Z         >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-12-04T09:03:48.3076608Z         >>> # of cross-host(dim 0), and within-host (dim 1).
2025-12-04T09:03:48.3077109Z         >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T09:03:48.3077568Z         >>> tp_mesh = mesh_2d["tp"]
2025-12-04T09:03:48.3077867Z         >>> dp_mesh = mesh_2d["dp"]
2025-12-04T09:03:48.3078148Z         >>>
2025-12-04T09:03:48.3078355Z         >>> # Initialize a 3D mesh.
2025-12-04T09:03:48.3078824Z         >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-12-04T09:03:48.3079513Z         >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-12-04T09:03:48.3080041Z         >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-12-04T09:03:48.3080360Z         >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-12-04T09:03:48.3080657Z     
2025-12-04T09:03:48.3081443Z     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))
2025-12-04T09:03:48.3082436Z     
2025-12-04T09:03:48.3082792Z     mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T09:03:48.3083350Z                                                                                      ^
2025-12-04T09:03:48.3083694Z       warnings.warn(msg)
2025-12-04T09:03:48.3083932Z     
2025-12-04T09:03:48.3084259Z --- Parse Warning: 13 / 17 ---
2025-12-04T09:03:48.3085447Z     /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.
2025-12-04T09:03:48.3086746Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:48.3087194Z     
2025-12-04T09:03:48.3087598Z     Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-12-04T09:03:48.3088085Z     
2025-12-04T09:03:48.3088472Z     SavePlanners are stateful objects that can be used to customize the whole save process.
2025-12-04T09:03:48.3088966Z     
2025-12-04T09:03:48.3089356Z     SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T09:03:48.3089853Z     will be visible to the whole process.
2025-12-04T09:03:48.3090156Z     
2025-12-04T09:03:48.3090538Z     A planner subclass can expect the following sequence of calls during save_state_dict:
2025-12-04T09:03:48.3090998Z     
2025-12-04T09:03:48.3091225Z     1) set_up_planner - called on all ranks.
2025-12-04T09:03:48.3091574Z         Signals the start of a checkpoint save.
2025-12-04T09:03:48.3091885Z     
2025-12-04T09:03:48.3092102Z     2) create_local_plan - called on all ranks.
2025-12-04T09:03:48.3092619Z         Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-12-04T09:03:48.3093101Z     
2025-12-04T09:03:48.3093376Z     3) create_global_plan - called on the coordinator rank only.
2025-12-04T09:03:48.3093861Z         Takes the SavePlan from all ranks and make any global decision.
2025-12-04T09:03:48.3094250Z     
2025-12-04T09:03:48.3094456Z     4) finish_plan - called on all ranks.
2025-12-04T09:03:48.3094891Z         This gives each rank a chance to adjust to global planning decisions.
2025-12-04T09:03:48.3095308Z     
2025-12-04T09:03:48.3095559Z     5) resolve_data - called multiple times on each rank
2025-12-04T09:03:48.3096024Z         Lookups a value on the `state_dict` for the storage layer to write.
2025-12-04T09:03:48.3096422Z     
2025-12-04T09:03:48.3096834Z     Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-12-04T09:03:48.3097423Z     most changes can be expressed by changes in a single method.
2025-12-04T09:03:48.3097796Z     
2025-12-04T09:03:48.3098026Z     There are 3 usual patterns of extension:
2025-12-04T09:03:48.3098326Z     
2025-12-04T09:03:48.3098687Z     Rewriting state_dict. This is the simplest way to extend the save process as it
2025-12-04T09:03:48.3099284Z     doesn't requite understanding the intrincacies of how SavePlan works:
2025-12-04T09:03:48.3099770Z     
2025-12-04T09:03:48.3100002Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:03:48.3100365Z     >>> class RenamePlanner(DefaultSavePlanner):
2025-12-04T09:03:48.3100711Z     >>>     def set_up_planner(
2025-12-04T09:03:48.3100971Z     >>>         self,
2025-12-04T09:03:48.3101232Z     >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T09:03:48.3101576Z     >>>         storage_meta: Optional[StorageMeta],
2025-12-04T09:03:48.3101911Z     >>>         is_coordinator: bool,
2025-12-04T09:03:48.3102202Z     >>>     ) -> None:
2025-12-04T09:03:48.3102459Z     >>> # prefix all keys with `foo_``
2025-12-04T09:03:48.3102943Z     >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-12-04T09:03:48.3103503Z     
2025-12-04T09:03:48.3103946Z     Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-12-04T09:03:48.3104462Z     
2025-12-04T09:03:48.3104689Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:03:48.3105041Z     >>> class FP16Planner(DefaultSavePlanner):
2025-12-04T09:03:48.3105446Z     >>>     def create_local_plan(self):
2025-12-04T09:03:48.3105769Z     >>>         plan = super().create_local_plan()
2025-12-04T09:03:48.3106098Z     >>>         for p in plan:
2025-12-04T09:03:48.3106392Z     >>>             if p.tensor_data is not None:
2025-12-04T09:03:48.3106762Z     >>>                 p.tensor_data.properties.dtype = torch.float16
2025-12-04T09:03:48.3107131Z     >>>         return plan
2025-12-04T09:03:48.3107385Z     >>>
2025-12-04T09:03:48.3107604Z     >>>     def resolve_data(self, write_item):
2025-12-04T09:03:48.3107958Z     >>>         item = super().resolve_data(write_item)
2025-12-04T09:03:48.3108463Z     >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-12-04T09:03:48.3108928Z     
2025-12-04T09:03:48.3109364Z     Using the global planning step to make central decisions that can't be made individually by each rank
2025-12-04T09:03:48.3109906Z     
2025-12-04T09:03:48.3110133Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:03:48.3110453Z     >>> from itertools import zip_longest
2025-12-04T09:03:48.3110782Z     >>> from dataclasses import replace
2025-12-04T09:03:48.3111160Z     >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-12-04T09:03:48.3111698Z     >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-12-04T09:03:48.3112216Z     >>> # This sample doesn't handle ShardedTensors
2025-12-04T09:03:48.3112589Z     >>>     def create_global_plan(self, all_plans):
2025-12-04T09:03:48.3112978Z     >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-12-04T09:03:48.3113334Z     >>>         items_per_rank = [
2025-12-04T09:03:48.3113666Z     >>>             [item for item in items if item is not None]
2025-12-04T09:03:48.3114073Z     >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-12-04T09:03:48.3114420Z     >>>         ]
2025-12-04T09:03:48.3114654Z     >>>         all_plans = [
2025-12-04T09:03:48.3114949Z     >>>             replace(plan, items=items)
2025-12-04T09:03:48.3115348Z     >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-12-04T09:03:48.3115743Z     >>>         ]
2025-12-04T09:03:48.3116021Z     >>>         return super().create_global_plan(all_plans)
2025-12-04T09:03:48.3116354Z     
2025-12-04T09:03:48.3116718Z     Finally, some planners need to save additional metadata in the checkpoint, this is
2025-12-04T09:03:48.3117367Z     accomplished by having each rank contribute their data items in the local plan and
2025-12-04T09:03:48.3117873Z     the global planner aggregate them:
2025-12-04T09:03:48.3118160Z     
2025-12-04T09:03:48.3118388Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:03:48.3118764Z     >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-12-04T09:03:48.3119150Z     >>>     def create_local_plan(self) -> SavePlan:
2025-12-04T09:03:48.3119513Z     >>>         plan = super().create_local_plan()
2025-12-04T09:03:48.3119917Z     >>>         return replace(plan, planner_data="per-rank-data")
2025-12-04T09:03:48.3120267Z     >>>
2025-12-04T09:03:48.3120684Z     >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-12-04T09:03:48.3121298Z     >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-12-04T09:03:48.3121774Z     >>>         merged_data = [p.planner_data for p in global_plan]
2025-12-04T09:03:48.3122206Z     >>>         metadata = replace(metadata, planner_data=merged_data)
2025-12-04T09:03:48.3122604Z     >>>         return global_plan, metadata
2025-12-04T09:03:48.3122981Z     
2025-12-04T09:03:48.3123603Z     Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-12-04T09:03:48.3124316Z     
2025-12-04T09:03:48.3124515Z     _._ = None
2025-12-04T09:03:48.3124730Z     ^
2025-12-04T09:03:48.3124926Z       warnings.warn(msg)
2025-12-04T09:03:48.3125181Z     
2025-12-04T09:03:48.3125586Z --- Parse Warning: 14 / 17 ---
2025-12-04T09:03:48.3126768Z     /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.
2025-12-04T09:03:48.3128084Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:48.3128533Z     
2025-12-04T09:03:48.3128911Z     Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-12-04T09:03:48.3129394Z     
2025-12-04T09:03:48.3129788Z     LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-12-04T09:03:48.3130269Z     
2025-12-04T09:03:48.3130645Z     LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T09:03:48.3131156Z     will be visible to the whole process.
2025-12-04T09:03:48.3131458Z     
2025-12-04T09:03:48.3131834Z     A planner subclass can expect the following sequence of calls during load_state_dict:
2025-12-04T09:03:48.3132306Z     
2025-12-04T09:03:48.3132540Z     1) set_up_planner - called on all ranks.
2025-12-04T09:03:48.3132889Z         Signals the start of loading a checkpoint.
2025-12-04T09:03:48.3133213Z     
2025-12-04T09:03:48.3133454Z     2) create_local_plan - called on all ranks.
2025-12-04T09:03:48.3133971Z         Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-12-04T09:03:48.3134440Z     
2025-12-04T09:03:48.3134729Z     3) create_global_plan - called on the coordinator rank only.
2025-12-04T09:03:48.3135224Z         Takes the LoadPlan from all ranks and make any global decision.
2025-12-04T09:03:48.3135606Z     
2025-12-04T09:03:48.3135858Z     4) load_bytes - called multiple times on each rank
2025-12-04T09:03:48.3136279Z         This is called once per non-tensor value in state_dict.
2025-12-04T09:03:48.3136355Z     
2025-12-04T09:03:48.3136573Z     5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-12-04T09:03:48.3136761Z         They are called in pair for each Tensor value in state_dict.
2025-12-04T09:03:48.3136838Z     
2025-12-04T09:03:48.3137146Z     Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-12-04T09:03:48.3137325Z     most changes can be expressed by changes in a single method.
2025-12-04T09:03:48.3137402Z     
2025-12-04T09:03:48.3137540Z     There are two usual patterns of extension:
2025-12-04T09:03:48.3137617Z     
2025-12-04T09:03:48.3137871Z     Rewriting state_dict. This is the simplest way to extend the load process as it
2025-12-04T09:03:48.3138134Z     doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-12-04T09:03:48.3138357Z     to keep a reference to the original state_dict as load happens in place so
2025-12-04T09:03:48.3138478Z     we need to be able to perform it in place
2025-12-04T09:03:48.3138569Z     
2025-12-04T09:03:48.3138684Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:03:48.3138826Z     >>> class RenamePlanner(DefaultLoadPlanner):
2025-12-04T09:03:48.3138922Z     >>>     def set_up_planner(
2025-12-04T09:03:48.3139005Z     >>>         self,
2025-12-04T09:03:48.3139128Z     >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T09:03:48.3139224Z     >>>         metadata: Metadata,
2025-12-04T09:03:48.3139326Z     >>>         is_coordinator: bool,
2025-12-04T09:03:48.3139422Z     >>>     ) -> None:
2025-12-04T09:03:48.3139624Z     >>>         self.original_state_dict = state_dict
2025-12-04T09:03:48.3139872Z     >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-12-04T09:03:48.3139967Z     >>>
2025-12-04T09:03:48.3140082Z     >>>         if self.flatten_sharded_tensors:
2025-12-04T09:03:48.3140245Z     >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-12-04T09:03:48.3140324Z     >>>
2025-12-04T09:03:48.3140433Z     >>>         if self.flatten_state_dict:
2025-12-04T09:03:48.3140681Z     >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-12-04T09:03:48.3140761Z     >>>
2025-12-04T09:03:48.3140870Z     >>>         self.state_dict = state_dict
2025-12-04T09:03:48.3140988Z     >>>         self.metadata = metadata
2025-12-04T09:03:48.3141106Z     >>>         self.is_coordinator = is_coordinator
2025-12-04T09:03:48.3141185Z     >>>
2025-12-04T09:03:48.3141313Z     >>>     def load_bytes(self, read_item, value):
2025-12-04T09:03:48.3141413Z     >>> # Remove the "foo_" prefix
2025-12-04T09:03:48.3141725Z     >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-12-04T09:03:48.3141820Z     
2025-12-04T09:03:48.3141897Z     
2025-12-04T09:03:48.3142168Z     Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-12-04T09:03:48.3142245Z     
2025-12-04T09:03:48.3142355Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:03:48.3142524Z     >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-12-04T09:03:48.3142637Z     >>>     def resolve_tensor(self, read_item):
2025-12-04T09:03:48.3142764Z     >>>         tensor = super().resolve_tensor(read_item)
2025-12-04T09:03:48.3142921Z     >>>         return torch.empty_like(tensor, device="cpu")
2025-12-04T09:03:48.3143000Z     >>>
2025-12-04T09:03:48.3143125Z     >>>     def commit_tensor(self, read_item, tensor):
2025-12-04T09:03:48.3143290Z     >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-12-04T09:03:48.3143369Z     
2025-12-04T09:03:48.3143901Z     Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-12-04T09:03:48.3143984Z     
2025-12-04T09:03:48.3144064Z     _._ = None
2025-12-04T09:03:48.3144154Z     ^
2025-12-04T09:03:48.3144248Z       warnings.warn(msg)
2025-12-04T09:03:48.3144323Z     
2025-12-04T09:03:48.3144537Z --- Parse Warning: 15 / 17 ---
2025-12-04T09:03:48.3145485Z     /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.
2025-12-04T09:03:48.3145742Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:48.3145820Z     
2025-12-04T09:03:48.3146017Z     ``FullStateDictConfig`` is a config class meant to be used with
2025-12-04T09:03:48.3146220Z     ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-12-04T09:03:48.3146421Z     ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-12-04T09:03:48.3146632Z     dicts to save GPU memory and CPU memory, respectively. This config class
2025-12-04T09:03:48.3146837Z     is meant to be used via the :func:`state_dict_type` context manager as
2025-12-04T09:03:48.3146919Z     follows:
2025-12-04T09:03:48.3146996Z     
2025-12-04T09:03:48.3147140Z         >>> # xdoctest: +SKIP("undefined variables")
2025-12-04T09:03:48.3147369Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-12-04T09:03:48.3147504Z         >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-12-04T09:03:48.3147701Z         >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-12-04T09:03:48.3147917Z         >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-12-04T09:03:48.3148034Z         >>>     state = fsdp.state_dict()
2025-12-04T09:03:48.3148240Z         >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-12-04T09:03:48.3148525Z         >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-12-04T09:03:48.3148767Z         >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-12-04T09:03:48.3148867Z         >>> if dist.get_rank() == 0:
2025-12-04T09:03:48.3149108Z         >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-12-04T09:03:48.3149245Z         >>>     state_dict = torch.load("my_checkpoint.pt")
2025-12-04T09:03:48.3149360Z         >>>     model.load_state_dict(state_dict)
2025-12-04T09:03:48.3149601Z         >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-12-04T09:03:48.3149833Z         >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-12-04T09:03:48.3149924Z         >>> fsdp = FSDP(
2025-12-04T09:03:48.3150021Z         ...     model,
2025-12-04T09:03:48.3150148Z         ...     device_id=torch.cuda.current_device(),
2025-12-04T09:03:48.3150264Z         ...     auto_wrap_policy=...,
2025-12-04T09:03:48.3150367Z         ...     sync_module_states=True,
2025-12-04T09:03:48.3150446Z         ... )
2025-12-04T09:03:48.3150664Z         >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-12-04T09:03:48.3150742Z     
2025-12-04T09:03:48.3150826Z     Attributes:
2025-12-04T09:03:48.3151036Z         rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-12-04T09:03:48.3151233Z             dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-12-04T09:03:48.3151384Z             ranks save the full state dict. (Default: ``False``)
2025-12-04T09:03:48.3151475Z     
2025-12-04T09:03:48.3151958Z     Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-12-04T09:03:48.3152047Z     
2025-12-04T09:03:48.3152129Z     _._ = None
2025-12-04T09:03:48.3152206Z     ^
2025-12-04T09:03:48.3152314Z       warnings.warn(msg)
2025-12-04T09:03:48.3152391Z     
2025-12-04T09:03:48.3152572Z --- Parse Warning: 16 / 17 ---
2025-12-04T09:03:48.3153543Z     /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.
2025-12-04T09:03:48.3153789Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:48.3153957Z     Register a parametrization to a tensor in a module.
2025-12-04T09:03:48.3154036Z     
2025-12-04T09:03:48.3154307Z         Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-12-04T09:03:48.3154597Z         the module will return the parametrized version ``parametrization(module.weight)``.
2025-12-04T09:03:48.3154855Z         If the original tensor requires a gradient, the backward pass will differentiate
2025-12-04T09:03:48.3155144Z         through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-12-04T09:03:48.3155237Z     
2025-12-04T09:03:48.3155541Z         The first time that a module registers a parametrization, this function will add an attribute
2025-12-04T09:03:48.3165265Z         ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-12-04T09:03:48.3165387Z     
2025-12-04T09:03:48.3165683Z         The list of parametrizations on the tensor ``weight`` will be accessible under
2025-12-04T09:03:48.3165824Z         ``module.parametrizations.weight``.
2025-12-04T09:03:48.3165902Z     
2025-12-04T09:03:48.3166041Z         The original tensor will be accessible under
2025-12-04T09:03:48.3166202Z         ``module.parametrizations.weight.original``.
2025-12-04T09:03:48.3166283Z     
2025-12-04T09:03:48.3166563Z         Parametrizations may be concatenated by registering several parametrizations
2025-12-04T09:03:48.3166665Z         on the same attribute.
2025-12-04T09:03:48.3166868Z     
2025-12-04T09:03:48.3167130Z         The training mode of a registered parametrization is updated on registration
2025-12-04T09:03:48.3167263Z         to match the training mode of the host module
2025-12-04T09:03:48.3167341Z     
2025-12-04T09:03:48.3167657Z         Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-12-04T09:03:48.3167840Z         using the context manager :func:`cached`.
2025-12-04T09:03:48.3167919Z     
2025-12-04T09:03:48.3168178Z         A :attr:`parametrization` may optionally implement a method with signature
2025-12-04T09:03:48.3168259Z     
2025-12-04T09:03:48.3168387Z         .. code-block:: python
2025-12-04T09:03:48.3168467Z     
2025-12-04T09:03:48.3168682Z             def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-12-04T09:03:48.3168773Z     
2025-12-04T09:03:48.3169031Z         This method is called on the unparametrized tensor when the first parametrization
2025-12-04T09:03:48.3169232Z         is registered to compute the initial value of the original tensor.
2025-12-04T09:03:48.3169554Z         If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-12-04T09:03:48.3169631Z     
2025-12-04T09:03:48.3169935Z         If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-12-04T09:03:48.3170234Z         to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-12-04T09:03:48.3170309Z     
2025-12-04T09:03:48.3170543Z         It is possible for the first parametrization to depend on several inputs.
2025-12-04T09:03:48.3170779Z         This may be implemented returning a tuple of tensors from ``right_inverse``
2025-12-04T09:03:48.3171004Z         (see the example implementation of a ``RankOne`` parametrization below).
2025-12-04T09:03:48.3171098Z     
2025-12-04T09:03:48.3171428Z         In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-12-04T09:03:48.3171557Z         with names ``original0``, ``original1``,...
2025-12-04T09:03:48.3171650Z     
2025-12-04T09:03:48.3171737Z         .. note::
2025-12-04T09:03:48.3171815Z     
2025-12-04T09:03:48.3172092Z             If unsafe=False (default) both the forward and right_inverse methods will be called
2025-12-04T09:03:48.3172237Z             once to perform a number of consistency checks.
2025-12-04T09:03:48.3172515Z             If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-12-04T09:03:48.3172635Z             and nothing will be called otherwise.
2025-12-04T09:03:48.3172715Z     
2025-12-04T09:03:48.3172813Z         .. note::
2025-12-04T09:03:48.3172891Z     
2025-12-04T09:03:48.3173091Z             In most situations, ``right_inverse`` will be a function such that
2025-12-04T09:03:48.3173218Z             ``forward(right_inverse(X)) == X`` (see
2025-12-04T09:03:48.3173503Z             `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-12-04T09:03:48.3173767Z             Sometimes, when the parametrization is not surjective, it may be reasonable
2025-12-04T09:03:48.3173857Z             to relax this.
2025-12-04T09:03:48.3173935Z     
2025-12-04T09:03:48.3174032Z         .. warning::
2025-12-04T09:03:48.3174108Z     
2025-12-04T09:03:48.3174380Z             If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-12-04T09:03:48.3174644Z             will register a number of new parameters. If such parametrization is registered
2025-12-04T09:03:48.3174909Z             after the optimizer is created, these new parameters will need to be added manually
2025-12-04T09:03:48.3175102Z             to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-12-04T09:03:48.3175194Z     
2025-12-04T09:03:48.3175274Z         Args:
2025-12-04T09:03:48.3175692Z             module (nn.Module): module on which to register the parametrization
2025-12-04T09:03:48.3175906Z             tensor_name (str): name of the parameter or buffer on which to register
2025-12-04T09:03:48.3176172Z                 the parametrization
2025-12-04T09:03:48.3176383Z             parametrization (nn.Module): the parametrization to register
2025-12-04T09:03:48.3176471Z         Keyword args:
2025-12-04T09:03:48.3176682Z             unsafe (bool): a boolean flag that denotes whether the parametrization
2025-12-04T09:03:48.3176975Z                 may change the dtype and shape of the tensor. Default: `False`
2025-12-04T09:03:48.3177238Z                 Warning: the parametrization is not checked for consistency upon registration.
2025-12-04T09:03:48.3177367Z                 Enable this flag at your own risk.
2025-12-04T09:03:48.3177447Z     
2025-12-04T09:03:48.3177527Z         Raises:
2025-12-04T09:03:48.3177819Z             ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-12-04T09:03:48.3177897Z     
2025-12-04T09:03:48.3177982Z         Examples:
2025-12-04T09:03:48.3178140Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-12-04T09:03:48.3178239Z             >>> import torch
2025-12-04T09:03:48.3178344Z             >>> import torch.nn as nn
2025-12-04T09:03:48.3178495Z             >>> import torch.nn.utils.parametrize as P
2025-12-04T09:03:48.3178576Z             >>>
2025-12-04T09:03:48.3178697Z             >>> class Symmetric(nn.Module):
2025-12-04T09:03:48.3178801Z             >>>     def forward(self, X):
2025-12-04T09:03:48.3178978Z             >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-12-04T09:03:48.3179072Z             >>>
2025-12-04T09:03:48.3179183Z             >>>     def right_inverse(self, A):
2025-12-04T09:03:48.3179280Z             >>>         return A.triu()
2025-12-04T09:03:48.3179372Z             >>>
2025-12-04T09:03:48.3179468Z             >>> m = nn.Linear(5, 5)
2025-12-04T09:03:48.3179703Z             >>> P.register_parametrization(m, "weight", Symmetric())
2025-12-04T09:03:48.3179958Z             >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-12-04T09:03:48.3180045Z             True
2025-12-04T09:03:48.3180156Z             >>> A = torch.rand(5, 5)
2025-12-04T09:03:48.3180268Z             >>> A = A + A.T  # A is now symmetric
2025-12-04T09:03:48.3180463Z             >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-12-04T09:03:48.3180605Z             >>> print(torch.allclose(m.weight, A))
2025-12-04T09:03:48.3180685Z             True
2025-12-04T09:03:48.3180764Z     
2025-12-04T09:03:48.3180884Z             >>> class RankOne(nn.Module):
2025-12-04T09:03:48.3180991Z             >>>     def forward(self, x, y):
2025-12-04T09:03:48.3181132Z             >>> # Form a rank 1 matrix multiplying two vectors
2025-12-04T09:03:48.3181276Z             >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-12-04T09:03:48.3181357Z             >>>
2025-12-04T09:03:48.3181483Z             >>>     def right_inverse(self, Z):
2025-12-04T09:03:48.3181598Z             >>> # Project Z onto the rank 1 matrices
2025-12-04T09:03:48.3181750Z             >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-12-04T09:03:48.3181878Z             >>> # Return rescaled singular vectors
2025-12-04T09:03:48.3181995Z             >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-12-04T09:03:48.3182140Z             >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-12-04T09:03:48.3182236Z             >>>
2025-12-04T09:03:48.3182379Z             >>> linear_rank_one = P.register_parametrization(
2025-12-04T09:03:48.3182499Z             ...     nn.Linear(4, 4), "weight", RankOne()
2025-12-04T09:03:48.3182594Z             ... )
2025-12-04T09:03:48.3182790Z             >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-12-04T09:03:48.3182884Z             1
2025-12-04T09:03:48.3182963Z     
2025-12-04T09:03:48.3183041Z         
2025-12-04T09:03:48.3183578Z     Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-12-04T09:03:48.3183718Z     
2025-12-04T09:03:48.3183798Z     _._ = None
2025-12-04T09:03:48.3183890Z     ^
2025-12-04T09:03:48.3183985Z       warnings.warn(msg)
2025-12-04T09:03:48.3184066Z     
2025-12-04T09:03:48.3184316Z --- Parse Warning: 17 / 17 ---
2025-12-04T09:03:48.3185297Z     /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.
2025-12-04T09:03:48.3185553Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:03:48.3185731Z     Reduce learning rate when a metric has stopped improving.
2025-12-04T09:03:48.3185809Z     
2025-12-04T09:03:48.3186022Z         Models often benefit from reducing the learning rate by a factor
2025-12-04T09:03:48.3186205Z         of 2-10 once learning stagnates. This scheduler reads a metrics
2025-12-04T09:03:48.3186399Z         quantity and if no improvement is seen for a 'patience' number
2025-12-04T09:03:48.3186534Z         of epochs, the learning rate is reduced.
2025-12-04T09:03:48.3186613Z     
2025-12-04T09:03:48.3186694Z         Args:
2025-12-04T09:03:48.3186839Z             optimizer (Optimizer): Wrapped optimizer.
2025-12-04T09:03:48.3186995Z             mode (str): One of `min`, `max`. In `min` mode, lr will
2025-12-04T09:03:48.3187161Z                 be reduced when the quantity monitored has stopped
2025-12-04T09:03:48.3187322Z                 decreasing; in `max` mode it will be reduced when the
2025-12-04T09:03:48.3187510Z                 quantity monitored has stopped increasing. Default: 'min'.
2025-12-04T09:03:48.3187692Z             factor (float): Factor by which the learning rate will be
2025-12-04T09:03:48.3187826Z                 reduced. new_lr = lr * factor. Default: 0.1.
2025-12-04T09:03:48.3188040Z             patience (int): The number of allowed epochs with no improvement after
2025-12-04T09:03:48.3188183Z                 which the learning rate will be reduced.
2025-12-04T09:03:48.3188405Z                 For example, consider the case of having no patience (`patience = 0`).
2025-12-04T09:03:48.3188772Z                 In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-12-04T09:03:48.3188978Z                 In the second epoch, if the performance is worse than the baseline,
2025-12-04T09:03:48.3189123Z                 we have what is considered an intolerable epoch.
2025-12-04T09:03:48.3189397Z                 Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-12-04T09:03:48.3189561Z                 the learning rate is reduced at the end of this epoch.
2025-12-04T09:03:48.3189889Z                 From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-12-04T09:03:48.3190197Z                 if the performance is worse than the baseline. If the performance improves or remains the same,
2025-12-04T09:03:48.3190322Z                 the learning rate is not adjusted.
2025-12-04T09:03:48.3190425Z                 Default: 10.
2025-12-04T09:03:48.3190612Z             threshold (float): Threshold for measuring the new optimum,
2025-12-04T09:03:48.3190767Z                 to only focus on significant changes. Default: 1e-4.
2025-12-04T09:03:48.3190951Z             threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-12-04T09:03:48.3191106Z                 dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-12-04T09:03:48.3191258Z                 mode or best * ( 1 - threshold ) in `min` mode.
2025-12-04T09:03:48.3191408Z                 In `abs` mode, dynamic_threshold = best + threshold in
2025-12-04T09:03:48.3191582Z                 `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-12-04T09:03:48.3191760Z             cooldown (int): Number of epochs to wait before resuming
2025-12-04T09:03:48.3191982Z                 normal operation after lr has been reduced. Default: 0.
2025-12-04T09:03:48.3192141Z             min_lr (float or list): A scalar or a list of scalars. A
2025-12-04T09:03:48.3192308Z                 lower bound on the learning rate of all param groups
2025-12-04T09:03:48.3192437Z                 or each group respectively. Default: 0.
2025-12-04T09:03:48.3193175Z             eps (float): Minimal decay applied to lr. If the difference
2025-12-04T09:03:48.3193354Z                 between new and old lr is smaller than eps, the update is
2025-12-04T09:03:48.3193463Z                 ignored. Default: 1e-8.
2025-12-04T09:03:48.3193558Z     
2025-12-04T09:03:48.3193641Z         Example:
2025-12-04T09:03:48.3193737Z             >>> # xdoctest: +SKIP
2025-12-04T09:03:48.3193973Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-12-04T09:03:48.3194125Z             >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-12-04T09:03:48.3194228Z             >>> for epoch in range(10):
2025-12-04T09:03:48.3194330Z             >>>     train(...)
2025-12-04T09:03:48.3194437Z             >>>     val_loss = validate(...)
2025-12-04T09:03:48.3194584Z             >>> # Note that step should be called after validate()
2025-12-04T09:03:48.3194705Z             >>>     scheduler.step(val_loss)
2025-12-04T09:03:48.3194783Z     
2025-12-04T09:03:48.3194992Z         .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-12-04T09:03:48.3195072Z         
2025-12-04T09:03:48.3195478Z     Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-12-04T09:03:48.3195569Z     
2025-12-04T09:03:48.3195671Z         scheduler.step(val_loss)
2025-12-04T09:03:48.3195751Z        ^
2025-12-04T09:03:48.3195857Z       warnings.warn(msg)
2025-12-04T09:03:48.3195936Z     
2025-12-04T09:03:48.3196053Z 
2025-12-04T09:03:48.3196241Z === Found 10 run-time warnings ===
2025-12-04T09:03:48.3196426Z --- Runtime Warning: 1 / 10 ---
2025-12-04T09:03:48.3196635Z example = <DocTest(torch is_storage:0 ln 1157) at 0x7f0b4eb0fdf0>
2025-12-04T09:03:48.3198079Z     <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()
2025-12-04T09:03:48.3198173Z     
2025-12-04T09:03:48.3198351Z --- Runtime Warning: 2 / 10 ---
2025-12-04T09:03:48.3198610Z example = <DocTest(torch._tensor Tensor.refine_names:0 ln 1374) at 0x7f0b4ebb4640>
2025-12-04T09:03:48.3199937Z     /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.)
2025-12-04T09:03:48.3200051Z       return super().refine_names(names)
2025-12-04T09:03:48.3200127Z     
2025-12-04T09:03:48.3200309Z --- Runtime Warning: 3 / 10 ---
2025-12-04T09:03:48.3200613Z example = <DocTest(torch.library Library._impl_with_aoti_compile:0 ln 239) at 0x7f0b4eb117e0>
2025-12-04T09:03:48.3201248Z     /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.
2025-12-04T09:03:48.3201555Z       Overriding a previously registered kernel for the same operator and the same dispatch key
2025-12-04T09:03:48.3201750Z       operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor
2025-12-04T09:03:48.3202050Z         registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6
2025-12-04T09:03:48.3202202Z       dispatch key: CPU
2025-12-04T09:03:48.3202636Z       previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079
2025-12-04T09:03:48.3203657Z            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.)
2025-12-04T09:03:48.3203812Z       impl_fn(self.ns, name.split("::")[-1], dispatch_key)
2025-12-04T09:03:48.3203905Z     
2025-12-04T09:03:48.3204082Z --- Runtime Warning: 4 / 10 ---
2025-12-04T09:03:48.3204330Z example = <DocTest(torch.nested as_nested_tensor:0 ln 61) at 0x7f0b4eb7e140>
2025-12-04T09:03:48.3206148Z     /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.)
2025-12-04T09:03:48.3206408Z       return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None)
2025-12-04T09:03:48.3206486Z     
2025-12-04T09:03:48.3206660Z --- Runtime Warning: 5 / 10 ---
2025-12-04T09:03:48.3206921Z example = <DocTest(torch.sparse as_sparse_gradcheck:0 ln 561) at 0x7f0b4ebb48b0>
2025-12-04T09:03:48.3208524Z     <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.)
2025-12-04T09:03:48.3208620Z     
2025-12-04T09:03:48.3208791Z --- Runtime Warning: 6 / 10 ---
2025-12-04T09:03:48.3209088Z example = <DocTest(torch._functorch.eager_transforms linearize:0 ln 1705) at 0x7f0b4ea14040>
2025-12-04T09:03:48.3210581Z     /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
2025-12-04T09:03:48.3210745Z       new_node = root_const_gm.graph.get_attr(in_node.target)
2025-12-04T09:03:48.3210836Z     
2025-12-04T09:03:48.3211008Z --- Runtime Warning: 7 / 10 ---
2025-12-04T09:03:48.3211289Z example = <DocTest(torch.nn.modules.transformer Transformer:0 ln 91) at 0x7f0b4eb10cd0>
2025-12-04T09:03:48.3212371Z     /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)
2025-12-04T09:03:48.3212489Z       self.encoder = TransformerEncoder(
2025-12-04T09:03:48.3212577Z     
2025-12-04T09:03:48.3212747Z --- Runtime Warning: 8 / 10 ---
2025-12-04T09:03:48.3213075Z example = <DocTest(torch.nn.modules.transformer TransformerEncoder:0 ln 345) at 0x7f0b4eb123e0>
2025-12-04T09:03:48.3214283Z     <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)
2025-12-04T09:03:48.3214360Z     
2025-12-04T09:03:48.3214542Z --- Runtime Warning: 9 / 10 ---
2025-12-04T09:03:48.3214808Z example = <DocTest(torch.nn.utils.weight_norm weight_norm:0 ln 134) at 0x7f0b4eb54d00>
2025-12-04T09:03:48.3215711Z     /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`.
2025-12-04T09:03:48.3215839Z       WeightNorm.apply(module, name, dim)
2025-12-04T09:03:48.3215917Z     
2025-12-04T09:03:48.3216143Z --- Runtime Warning: 10 / 10 ---
2025-12-04T09:03:48.3216455Z example = <DocTest(torch.nn.utils.weight_norm remove_weight_norm:0 ln 156) at 0x7f0b4eb566e0>
2025-12-04T09:03:48.3217249Z     /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`.
2025-12-04T09:03:48.3217377Z       WeightNorm.apply(module, name, dim)
2025-12-04T09:03:48.3217453Z     
2025-12-04T09:03:48.3217740Z === 378 passed, 516 skipped, 27 warnings in 19.99 seconds ===
2025-12-04T09:03:48.3218006Z Finished doctests 1/1 ... [2025-12-04 09:03:48.275066][882.927518223], took 0.34min
2025-12-04T09:03:48.3218263Z Running inductor/test_flex_attention 1/1 ... [2025-12-04 09:03:48.276659][882.92912209]
2025-12-04T09:03:48.3218384Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:03:48.3219429Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:48.277036]
2025-12-04T09:03:56.4529572Z 
2025-12-04T09:03:56.4531384Z 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_aca9ae8a60a2a7af_.log
2025-12-04T09:03:56.4532259Z Running 0 items in this shard:
2025-12-04T09:03:56.4532448Z 
2025-12-04T09:03:56.4532803Z Finished inductor/test_flex_attention 1/1 ... [2025-12-04 09:03:56.452902][891.105360756], took 0.14min
2025-12-04T09:03:56.4543979Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-14f151d167b9e9b0.xml
2025-12-04T09:03:56.5364954Z Running inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:03:56.536172][891.188631204]
2025-12-04T09:03:56.5365488Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:03:56.5368261Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cutlass_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:56.536568]
2025-12-04T09:04:03.6110822Z 
2025-12-04T09:04:03.6111830Z 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_e5a3c0f50488aa69_.log
2025-12-04T09:04:03.6112609Z 
2025-12-04T09:04:03.6112932Z Finished inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:04:03.610860][898.263320853], took 0.12min
2025-12-04T09:04:03.6126240Z Running inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:04:03.612422][898.264884614]
2025-12-04T09:04:03.6126749Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:04:03.6130439Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_benchmark_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:04:03.612790]
2025-12-04T09:04:11.2380017Z 
2025-12-04T09:04:11.2381166Z 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_b8bdf33571d476f2_.log
2025-12-04T09:04:11.2382444Z Running 0 items in this shard:
2025-12-04T09:04:11.2382645Z 
2025-12-04T09:04:11.2383048Z Finished inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:04:11.237821][905.890280729], took 0.13min
2025-12-04T09:04:11.2393595Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-9b5d0816ae090044.xml
2025-12-04T09:04:11.3043792Z Running inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:04:11.304089][905.956549924]
2025-12-04T09:04:11.3044333Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:04:11.3048054Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_distributed_patterns.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:04:11.304547]
2025-12-04T09:04:18.4290566Z 
2025-12-04T09:04:18.4291981Z 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_85a5305d28a285f8_.log
2025-12-04T09:04:18.4292918Z Running 0 items in this shard:
2025-12-04T09:04:18.4293120Z 
2025-12-04T09:04:18.4293466Z Finished inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:04:18.428877][913.081335693], took 0.12min
2025-12-04T09:04:18.4305794Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-c4abb92b4ae93e2f.xml
2025-12-04T09:04:18.5027711Z Running test_sort_and_select 1/1 ... [2025-12-04 09:04:18.502482][913.154941559]
2025-12-04T09:04:18.5028204Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:04:18.5031392Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sort_and_select.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:04:18.502893]
2025-12-04T09:04:21.9220477Z 
2025-12-04T09:04:21.9221318Z 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_a4231909d118ad7b_.log
2025-12-04T09:04:21.9222093Z Running 0 items in this shard:
2025-12-04T09:04:21.9222282Z 
2025-12-04T09:04:21.9222574Z Finished test_sort_and_select 1/1 ... [2025-12-04 09:04:21.921882][916.574342328], took 0.06min
2025-12-04T09:04:21.9236108Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-1b731908a00df011.xml
2025-12-04T09:04:21.9507627Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 09:04:21.950566][916.603028027]
2025-12-04T09:04:21.9508156Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:04:21.9511928Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_privateuseone_python_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:04:21.950938]
2025-12-04T09:04:24.8693240Z 
2025-12-04T09:04:24.8694262Z 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_8626e45007e4a8a2_.log
2025-12-04T09:04:24.8695157Z Running 0 items in this shard:
2025-12-04T09:04:24.8695343Z 
2025-12-04T09:04:24.8695678Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 09:04:24.869154][919.521613829], took 0.05min
2025-12-04T09:04:24.8710881Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-d2a648c70118ea25.xml
2025-12-04T09:04:24.8963653Z Running test_cpp_api_parity 1/1 ... [2025-12-04 09:04:24.896190][919.548652295]
2025-12-04T09:04:24.8964410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:04:24.8968051Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_api_parity.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:04:24.896560]
2025-12-04T09:04:32.3217185Z 
2025-12-04T09:04:32.3218615Z 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_c9dd08f004e4c8b0_.log
2025-12-04T09:04:32.3220158Z Running 0 items in this shard:
2025-12-04T09:04:32.3220501Z 
2025-12-04T09:04:32.3221011Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 09:04:32.321495][926.973955119], took 0.12min
2025-12-04T09:04:32.3238328Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-177d6420ecd24ea5.xml
2025-12-04T09:04:32.4358609Z Running test_extension_utils 1/1 ... [2025-12-04 09:04:32.435537][927.087996288]
2025-12-04T09:04:32.4359109Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:04:32.4361948Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_extension_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:04:32.435936]
2025-12-04T09:04:35.3554958Z 
2025-12-04T09:04:35.3555843Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_5cc440b5e0f94a4f_.log
2025-12-04T09:04:35.3556615Z Running 0 items in this shard:
2025-12-04T09:04:35.3556799Z 
2025-12-04T09:04:35.3557074Z Finished test_extension_utils 1/1 ... [2025-12-04 09:04:35.355311][930.007771969], took 0.05min
2025-12-04T09:04:35.3575756Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_extension_utils/test_extension_utils-642c0e9636a9fcf0.xml
2025-12-04T09:04:35.3847381Z Running test_show_pickle 1/1 ... [2025-12-04 09:04:35.384492][930.036952897]
2025-12-04T09:04:35.3847835Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:04:35.3851088Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_show_pickle.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:04:35.384866]
2025-12-04T09:04:38.3534198Z 
2025-12-04T09:04:38.3535112Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_a29fd6cdf045111d_.log
2025-12-04T09:04:38.3535854Z Running 0 items in this shard:
2025-12-04T09:04:38.3536057Z 
2025-12-04T09:04:38.3536314Z Finished test_show_pickle 1/1 ... [2025-12-04 09:04:38.353158][933.005619192], took 0.05min
2025-12-04T09:04:38.3554689Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_show_pickle/test_show_pickle-50d3a07813b0e64a.xml
2025-12-04T09:04:38.3830323Z Running test_torch 1/1 ... [2025-12-04 09:04:38.382736][933.035196122]
2025-12-04T09:04:38.3830756Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:04:38.3833663Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:04:38.383126]
2025-12-04T09:05:56.9197431Z 
2025-12-04T09:05:56.9198529Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_53c7b27ef5818f1c_.log
2025-12-04T09:05:56.9247127Z Running 200 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_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, 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, 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, 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, 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
2025-12-04T09:05:56.9295329Z 
2025-12-04T09:05:56.9295569Z Finished test_torch 1/1 ... [2025-12-04 09:05:56.919918][1011.572375932], took 1.31min
2025-12-04T09:05:56.9296462Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-d771c64c38195471.xml
2025-12-04T09:05:57.0197548Z Running test_tensorexpr 1/1 ... [2025-12-04 09:05:57.019462][1011.671920981]
2025-12-04T09:05:57.0198015Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:05:57.0201554Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensorexpr.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:05:57.019866]
2025-12-04T09:06:00.0390323Z 
2025-12-04T09:06:00.0391116Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_120395bc044bd0b4_.log
2025-12-04T09:06:00.0391866Z Running 0 items in this shard:
2025-12-04T09:06:00.0392055Z 
2025-12-04T09:06:00.0392311Z Finished test_tensorexpr 1/1 ... [2025-12-04 09:06:00.038859][1014.69131992], took 0.05min
2025-12-04T09:06:00.0415429Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-2bccffb327b20305.xml
2025-12-04T09:06:00.0637795Z Running test_utils 1/1 ... [2025-12-04 09:06:00.063562][1014.716023701]
2025-12-04T09:06:00.0638247Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:06:00.0641681Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:00.063914]
2025-12-04T09:06:15.2994157Z 
2025-12-04T09:06:15.2995628Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_47db5fa920abd342_.log
2025-12-04T09:06:15.3043919Z Running 100 items in this shard: test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed
2025-12-04T09:06:15.3090777Z 
2025-12-04T09:06:15.3091187Z Finished test_utils 1/1 ... [2025-12-04 09:06:15.299377][1029.951833046], took 0.25min
2025-12-04T09:06:15.3092729Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-7b0a96ac7f2ae20b.xml
2025-12-04T09:06:15.3883504Z Running test_namedtuple_return_api 1/1 ... [2025-12-04 09:06:15.387956][1030.040414316]
2025-12-04T09:06:15.3884358Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:06:15.3887174Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_namedtuple_return_api.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:15.388365]
2025-12-04T09:06:18.3570490Z 
2025-12-04T09:06:18.3572016Z 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_657c653912df136d_.log
2025-12-04T09:06:18.3573607Z Running 0 items in this shard:
2025-12-04T09:06:18.3573943Z 
2025-12-04T09:06:18.3574525Z Finished test_namedtuple_return_api 1/1 ... [2025-12-04 09:06:18.356850][1033.009309766], took 0.05min
2025-12-04T09:06:18.3599873Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-82ee9dd62899e957.xml
2025-12-04T09:06:18.3875777Z Running test_fake_tensor 1/1 ... [2025-12-04 09:06:18.387317][1033.0397784]
2025-12-04T09:06:18.3876530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:06:18.3880774Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fake_tensor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:18.387737]
2025-12-04T09:06:26.6640749Z 
2025-12-04T09:06:26.6642058Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_8e8def99b8987633_.log
2025-12-04T09:06:26.6658121Z Running 50 items in this shard: test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to
2025-12-04T09:06:26.6674434Z 
2025-12-04T09:06:26.6674699Z Finished test_fake_tensor 1/1 ... [2025-12-04 09:06:26.663933][1041.316391732], took 0.14min
2025-12-04T09:06:26.6675863Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-3f5fa27a9d36c67f.xml
2025-12-04T09:06:26.7418038Z Running test_multiprocessing 1/1 ... [2025-12-04 09:06:26.741503][1041.393963857]
2025-12-04T09:06:26.7418529Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:06:26.7422047Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_multiprocessing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:26.741891]
2025-12-04T09:06:30.2623544Z 
2025-12-04T09:06:30.2624483Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_4c5a4824aff39808_.log
2025-12-04T09:06:30.2657642Z Running 100 items in this shard: test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple
2025-12-04T09:06:30.2689517Z 
2025-12-04T09:06:30.2689805Z Finished test_multiprocessing 1/1 ... [2025-12-04 09:06:30.262123][1044.914581421], took 0.06min
2025-12-04T09:06:30.2690855Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-f2cb934669dfa815.xml
2025-12-04T09:06:30.3088744Z Running test_fx 1/1 ... [2025-12-04 09:06:30.308642][1044.961103717]
2025-12-04T09:06:30.3089151Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:06:30.3092212Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:30.308988]
2025-12-04T09:09:51.6279093Z 
2025-12-04T09:09:51.6280401Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_7b3bd1753c946ff2_.log
2025-12-04T09:09:51.6306325Z Running 100 items in this shard: test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7
2025-12-04T09:09:51.6332079Z 
2025-12-04T09:09:51.6332301Z Finished test_fx 1/1 ... [2025-12-04 09:09:51.627624][1246.280080322], took 3.36min
2025-12-04T09:09:51.6333163Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx/test_fx-b6c2dacc495dd125.xml
2025-12-04T09:09:51.7080101Z Running test_autograd_fallback 1/1 ... [2025-12-04 09:09:51.707715][1246.360174016]
2025-12-04T09:09:51.7080646Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:09:51.7083847Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_autograd_fallback.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:51.708117]
2025-12-04T09:09:54.7267235Z 
2025-12-04T09:09:54.7268185Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_5e25e00a1f957b20_.log
2025-12-04T09:09:54.7269030Z Running 0 items in this shard:
2025-12-04T09:09:54.7269218Z 
2025-12-04T09:09:54.7269518Z Finished test_autograd_fallback 1/1 ... [2025-12-04 09:09:54.726534][1249.378991402], took 0.05min
2025-12-04T09:09:54.7299320Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-c02fa4dd6c05d586.xml
2025-12-04T09:09:54.7547587Z Running test_autocast 1/1 ... [2025-12-04 09:09:54.754549][1249.407010252]
2025-12-04T09:09:54.7548054Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:09:54.7551962Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_autocast.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:54.754940]
2025-12-04T09:09:58.0740516Z 
2025-12-04T09:09:58.0741794Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_396e6897c94d4cec_.log
2025-12-04T09:09:58.0743200Z Running 0 items in this shard:
2025-12-04T09:09:58.0743549Z 
2025-12-04T09:09:58.0744004Z Finished test_autocast 1/1 ... [2025-12-04 09:09:58.073802][1252.72625991], took 0.06min
2025-12-04T09:09:58.0775072Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-cf5931dad6d5e1b2.xml
2025-12-04T09:09:58.1039803Z Running test_python_dispatch 1/1 ... [2025-12-04 09:09:58.103679][1252.75613965]
2025-12-04T09:09:58.1040362Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:09:58.1043653Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_python_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:58.104063]
2025-12-04T09:10:02.7750680Z 
2025-12-04T09:10:02.7751987Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_afecd064429b8696_.log
2025-12-04T09:10:02.7752770Z Running 0 items in this shard:
2025-12-04T09:10:02.7752961Z 
2025-12-04T09:10:02.7753254Z Finished test_python_dispatch 1/1 ... [2025-12-04 09:10:02.774876][1257.427334318], took 0.08min
2025-12-04T09:10:02.7786535Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-b03d2feb81a0594c.xml
2025-12-04T09:10:02.8058496Z Running test_jit_disabled 1/1 ... [2025-12-04 09:10:02.805531][1257.457990644]
2025-12-04T09:10:02.8059011Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:02.8062149Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_disabled.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:02.805924]
2025-12-04T09:10:05.8246672Z 
2025-12-04T09:10:05.8247812Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_1eab1602f20a8fc6_.log
2025-12-04T09:10:05.8248561Z Running 0 items in this shard:
2025-12-04T09:10:05.8248748Z 
2025-12-04T09:10:05.8249050Z Finished test_jit_disabled 1/1 ... [2025-12-04 09:10:05.824411][1260.476871012], took 0.05min
2025-12-04T09:10:05.8281750Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-ce094958c7faa98f.xml
2025-12-04T09:10:05.8560434Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:10:05.855799][1260.508260635]
2025-12-04T09:10:05.8560976Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:05.8563820Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_mtia_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:05.856139]
2025-12-04T09:10:08.8246937Z 
2025-12-04T09:10:08.8247948Z 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_2369259c0d7bb3bb_.log
2025-12-04T09:10:08.8248812Z Running 0 items in this shard:
2025-12-04T09:10:08.8248999Z 
2025-12-04T09:10:08.8249334Z Finished test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:10:08.824519][1263.476977513], took 0.05min
2025-12-04T09:10:08.8284252Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-4e1881a75f9e8ae7.xml
2025-12-04T09:10:08.8522564Z Running functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:10:08.851986][1263.504446819]
2025-12-04T09:10:08.8523160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:08.8526329Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_memory_efficient_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:08.852371]
2025-12-04T09:10:12.1214000Z 
2025-12-04T09:10:12.1215062Z 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_630afa85fc1fa866_.log
2025-12-04T09:10:12.1215996Z Running 0 items in this shard:
2025-12-04T09:10:12.1216198Z 
2025-12-04T09:10:12.1216566Z Finished functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:10:12.121226][1266.773684994], took 0.05min
2025-12-04T09:10:12.1251975Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-b1ae2cf4a8a90a22.xml
2025-12-04T09:10:12.1495441Z Running test_tensor_creation_ops 1/1 ... [2025-12-04 09:10:12.149280][1266.80174083]
2025-12-04T09:10:12.1495946Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:12.1499430Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensor_creation_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:12.149666]
2025-12-04T09:10:16.6206168Z 
2025-12-04T09:10:16.6207611Z 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_238bb92423fefe4a_.log
2025-12-04T09:10:16.6209144Z Running 0 items in this shard:
2025-12-04T09:10:16.6209491Z 
2025-12-04T09:10:16.6210038Z Finished test_tensor_creation_ops 1/1 ... [2025-12-04 09:10:16.620412][1271.272868275], took 0.07min
2025-12-04T09:10:16.6248034Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-e49ed7a0a40ed955.xml
2025-12-04T09:10:16.6521333Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:10:16.651868][1271.304329615]
2025-12-04T09:10:16.6522209Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:16.6526220Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_stream_and_event.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:16.652258]
2025-12-04T09:10:19.5708107Z 
2025-12-04T09:10:19.5709929Z 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_aa8661f24385d0b7_.log
2025-12-04T09:10:19.5711693Z Running 0 items in this shard:
2025-12-04T09:10:19.5712042Z 
2025-12-04T09:10:19.5712692Z Finished test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:10:19.570633][1274.223093662], took 0.05min
2025-12-04T09:10:19.5751668Z 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-33a273a318d0b2b6.xml
2025-12-04T09:10:19.5985188Z Running test_dispatch 1/1 ... [2025-12-04 09:10:19.598209][1274.250670498]
2025-12-04T09:10:19.5985939Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:19.5989236Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:19.598589]
2025-12-04T09:10:22.6175029Z 
2025-12-04T09:10:22.6176067Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_151b340aa79b6d3b_.log
2025-12-04T09:10:22.6176814Z Running 0 items in this shard:
2025-12-04T09:10:22.6177014Z 
2025-12-04T09:10:22.6177262Z Finished test_dispatch 1/1 ... [2025-12-04 09:10:22.617317][1277.269777694], took 0.05min
2025-12-04T09:10:22.6217433Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dispatch/test_dispatch-8c717b33832ac71c.xml
2025-12-04T09:10:22.6467461Z Running nn/test_convolution 1/1 ... [2025-12-04 09:10:22.646540][1277.299001854]
2025-12-04T09:10:22.6467919Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:22.6471605Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:22.646915]
2025-12-04T09:10:27.3179787Z 
2025-12-04T09:10:27.3180686Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_cd66674d3419dfc9_.log
2025-12-04T09:10:27.3181464Z Running 0 items in this shard:
2025-12-04T09:10:27.3181654Z 
2025-12-04T09:10:27.3182631Z Finished nn/test_convolution 1/1 ... [2025-12-04 09:10:27.317713][1281.970173597], took 0.08min
2025-12-04T09:10:27.3222507Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-668cd25eab1bb1e6.xml
2025-12-04T09:10:27.3541652Z Running test_cpp_extensions_jit 1/1 ... [2025-12-04 09:10:27.353905][1282.006365281]
2025-12-04T09:10:27.3542192Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:27.3545684Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_jit.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:27.354298]
2025-12-04T09:10:30.6734785Z 
2025-12-04T09:10:30.6736076Z 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_074316ff225b0f0b_.log
2025-12-04T09:10:30.6736862Z Running 0 items in this shard:
2025-12-04T09:10:30.6737087Z 
2025-12-04T09:10:30.6737374Z Finished test_cpp_extensions_jit 1/1 ... [2025-12-04 09:10:30.673299][1285.32575776], took 0.06min
2025-12-04T09:10:30.6784222Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-44aa45811032ee9c.xml
2025-12-04T09:10:30.7017565Z Running test_nn 1/1 ... [2025-12-04 09:10:30.701534][1285.353996315]
2025-12-04T09:10:30.7017974Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:30.7021531Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:30.701872]
2025-12-04T09:10:38.6309900Z 
2025-12-04T09:10:38.6310733Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_ebb610b28134207e_.log
2025-12-04T09:10:38.6311481Z Running 0 items in this shard:
2025-12-04T09:10:38.6311673Z 
2025-12-04T09:10:38.6311929Z Finished test_nn 1/1 ... [2025-12-04 09:10:38.630838][1293.283297053], took 0.13min
2025-12-04T09:10:38.6355387Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-140289bd47af93fc.xml
2025-12-04T09:10:38.7072132Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 09:10:38.706965][1293.359426708]
2025-12-04T09:10:38.7072653Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:38.7075782Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:38.707323]
2025-12-04T09:10:46.6826208Z 
2025-12-04T09:10:46.6827191Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_25ba7b381d93d6ed_.log
2025-12-04T09:10:46.6828018Z Running 0 items in this shard:
2025-12-04T09:10:46.6828220Z 
2025-12-04T09:10:46.6828533Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 09:10:46.682450][1301.334909792], took 0.13min
2025-12-04T09:10:46.6873897Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-19c1c465fea6c866.xml
2025-12-04T09:10:46.7527875Z Running nn/test_pooling 1/1 ... [2025-12-04 09:10:46.752455][1301.404915084]
2025-12-04T09:10:46.7528712Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:46.7530847Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_pooling.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:46.752842]
2025-12-04T09:10:50.2221509Z 
2025-12-04T09:10:50.2222831Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_d09bc6a1f272b83d_.log
2025-12-04T09:10:50.2224216Z Running 0 items in this shard:
2025-12-04T09:10:50.2224588Z 
2025-12-04T09:10:50.2225065Z Finished nn/test_pooling 1/1 ... [2025-12-04 09:10:50.221892][1304.874351701], took 0.06min
2025-12-04T09:10:50.2272234Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-e5e438485ff793bd.xml
2025-12-04T09:10:50.2522920Z Running test_cuda_trace 1/1 ... [2025-12-04 09:10:50.252068][1304.904529094]
2025-12-04T09:10:50.2523662Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:50.2528423Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_trace.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:50.252496]
2025-12-04T09:10:53.2211558Z 
2025-12-04T09:10:53.2212435Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_1a39cea257ba71d9_.log
2025-12-04T09:10:53.2213166Z Running 0 items in this shard:
2025-12-04T09:10:53.2213355Z 
2025-12-04T09:10:53.2213627Z Finished test_cuda_trace 1/1 ... [2025-12-04 09:10:53.220968][1307.873428502], took 0.05min
2025-12-04T09:10:53.2264556Z Running test_native_mha 1/1 ... [2025-12-04 09:10:53.226278][1307.87873966]
2025-12-04T09:10:53.2265029Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:53.2268590Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_native_mha.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:53.226643]
2025-12-04T09:10:56.4962093Z 
2025-12-04T09:10:56.4962951Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_2a5c7c2245d31ffa_.log
2025-12-04T09:10:56.4963695Z Running 0 items in this shard:
2025-12-04T09:10:56.4963884Z 
2025-12-04T09:10:56.4964134Z Finished test_native_mha 1/1 ... [2025-12-04 09:10:56.495563][1311.148021974], took 0.05min
2025-12-04T09:10:56.5008959Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_mha/test_native_mha-cd14cbea678feffd.xml
2025-12-04T09:10:56.5610930Z Running test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:10:56.560785][1311.213246763]
2025-12-04T09:10:56.5611440Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:56.5614201Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:56.561161]
2025-12-04T09:10:59.4795279Z 
2025-12-04T09:10:59.4796771Z 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_bfe724c1e1f083c0_.log
2025-12-04T09:10:59.4798329Z Running 0 items in this shard:
2025-12-04T09:10:59.4798765Z 
2025-12-04T09:10:59.4799336Z Finished test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:10:59.479328][1314.131788308], took 0.05min
2025-12-04T09:10:59.4852097Z Running test_mobile_optimizer 1/1 ... [2025-12-04 09:10:59.484930][1314.137392431]
2025-12-04T09:10:59.4853152Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:10:59.4857127Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mobile_optimizer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:59.485341]
2025-12-04T09:11:03.1552485Z 
2025-12-04T09:11:03.1553845Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_74a35a5dcb7a1209_.log
2025-12-04T09:11:03.1587296Z Running 100 items in this shard: test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, 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2025-12-04T09:11:03.1619749Z 
2025-12-04T09:11:03.1620037Z Finished test_mobile_optimizer 1/1 ... [2025-12-04 09:11:03.155207][1317.807664126], took 0.06min
2025-12-04T09:11:03.1621092Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-8daea136acfc6fd9.xml
2025-12-04T09:11:03.2388587Z Running test_overrides 1/1 ... [2025-12-04 09:11:03.238540][1317.890999506]
2025-12-04T09:11:03.2389153Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:11:03.2392067Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:11:03.238913]
2025-12-04T09:11:09.5625691Z 
2025-12-04T09:11:09.5626997Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_8e43f221c52a3a79_.log
2025-12-04T09:11:09.5778138Z Running 250 items in this shard: test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, 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test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api
2025-12-04T09:11:09.5899961Z 
2025-12-04T09:11:09.5900458Z Finished test_overrides 1/1 ... [2025-12-04 09:11:09.562822][1324.215278175], took 0.11min
2025-12-04T09:11:09.5902275Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_overrides/test_overrides-207982077052e719.xml
2025-12-04T09:11:09.6598002Z Running test_cuda_primary_ctx 1/1 ... [2025-12-04 09:11:09.659440][1324.311882029]
2025-12-04T09:11:09.6598769Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:11:09.6601919Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_primary_ctx.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:11:09.659870]
2025-12-04T09:11:12.8789730Z 
2025-12-04T09:11:12.8791015Z 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_259ae4ef95923966_.log
2025-12-04T09:11:12.8791811Z Running 0 items in this shard:
2025-12-04T09:11:12.8792001Z 
2025-12-04T09:11:12.8792296Z Finished test_cuda_primary_ctx 1/1 ... [2025-12-04 09:11:12.878754][1327.531211231], took 0.05min
2025-12-04T09:11:12.8846223Z Running test_reductions 1/1 ... [2025-12-04 09:11:12.884437][1327.536898377]
2025-12-04T09:11:12.8846677Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:11:12.8850544Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_reductions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:11:12.884826]
2025-12-04T09:11:25.5167311Z 
2025-12-04T09:11:25.5168685Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_be69823413209307_.log
2025-12-04T09:11:25.5183833Z Running 50 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, 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, 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, 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
2025-12-04T09:11:25.5198260Z 
2025-12-04T09:11:25.5198518Z Finished test_reductions 1/1 ... [2025-12-04 09:11:25.516595][1340.169054536], took 0.21min
2025-12-04T09:11:25.5222728Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-be80766dd921b8ba.xml
2025-12-04T09:11:25.6394749Z Running test_spectral_ops 1/1 ... [2025-12-04 09:11:25.639180][1340.291640075]
2025-12-04T09:11:25.6395280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:11:25.6398268Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_spectral_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:11:25.639568]
2025-12-04T09:11:30.4606689Z 
2025-12-04T09:11:30.4607606Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_cdb8e000a1fb6c86_.log
2025-12-04T09:11:30.4608433Z Running 0 items in this shard:
2025-12-04T09:11:30.4608727Z 
2025-12-04T09:11:30.4609008Z Finished test_spectral_ops 1/1 ... [2025-12-04 09:11:30.460462][1345.11292335], took 0.08min
2025-12-04T09:11:30.4660672Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-546c09ef7a6a9594.xml
2025-12-04T09:11:30.4990103Z Running distributions/test_distributions 1/1 ... [2025-12-04 09:11:30.498779][1345.151240274]
2025-12-04T09:11:30.4990652Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:11:30.4994406Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:11:30.499144]
2025-12-04T09:11:34.6695544Z 
2025-12-04T09:11:34.6696785Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_f0d128e85ce3b9e2_.log
2025-12-04T09:11:34.6716280Z Running 50 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample
2025-12-04T09:11:34.6734931Z 
2025-12-04T09:11:34.6735282Z Finished distributions/test_distributions 1/1 ... [2025-12-04 09:11:34.669280][1349.321740093], took 0.07min
2025-12-04T09:11:34.6754375Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-ba83d727e641b856.xml
2025-12-04T09:11:34.7317585Z Running test_autoload_disable 1/1 ... [2025-12-04 09:11:34.731522][1349.383982545]
2025-12-04T09:11:35.0531052Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:11:37.9988582Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:11:38.0008867Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:11:47.6608407Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done
2025-12-04T09:11:47.6863829Z [?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=373436fd5a01b243be2e21ecea8c0f7f63856865a9c96383b1e7f036515b117c
2025-12-04T09:11:47.6865455Z   Stored in directory: /tmp/pip-ephem-wheel-cache-cqqe2stn/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T09:11:47.6883474Z Successfully built torch_test_cpp_extension
2025-12-04T09:11:48.0438689Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:11:48.2030002Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:11:50.5889710Z 
2025-12-04T09:11:50.5890113Z Running tests...
2025-12-04T09:11:50.5890554Z ----------------------------------------------------------------------
2025-12-04T09:11:50.7570105Z s
2025-12-04T09:11:50.7570611Z ----------------------------------------------------------------------
2025-12-04T09:11:50.7571045Z Ran 1 test in 0.168s
2025-12-04T09:11:50.7571202Z 
2025-12-04T09:11:50.7571293Z OK (skipped=1)
2025-12-04T09:11:50.7571441Z 
2025-12-04T09:11:50.7571542Z Generating XML reports...
2025-12-04T09:11:51.3417550Z Finished test_autoload_disable 1/1 ... [2025-12-04 09:11:51.341373][1365.993824729], took 0.28min
2025-12-04T09:11:51.3474561Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091150.xml
2025-12-04T09:11:51.4261436Z Running test_autoload_enable 1/1 ... [2025-12-04 09:11:51.425785][1366.07824459]
2025-12-04T09:11:51.7490596Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:11:54.6552841Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:11:54.6573472Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:12:03.9925872Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done
2025-12-04T09:12:04.0183403Z [?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=4ed7b058159525adc4bd00766b7930d806bb62d22bf348bb5ada9d0c983f2772
2025-12-04T09:12:04.0184917Z   Stored in directory: /tmp/pip-ephem-wheel-cache-0zhb3uu1/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T09:12:04.0202277Z Successfully built torch_test_cpp_extension
2025-12-04T09:12:04.3725775Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:12:04.5416922Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:12:06.9488916Z 
2025-12-04T09:12:06.9489525Z Running tests...
2025-12-04T09:12:06.9489934Z ----------------------------------------------------------------------
2025-12-04T09:12:07.1153727Z s
2025-12-04T09:12:07.1154119Z ----------------------------------------------------------------------
2025-12-04T09:12:07.1154540Z Ran 1 test in 0.166s
2025-12-04T09:12:07.1154709Z 
2025-12-04T09:12:07.1154799Z OK (skipped=1)
2025-12-04T09:12:07.1154947Z 
2025-12-04T09:12:07.1155048Z Generating XML reports...
2025-12-04T09:12:07.7046740Z Finished test_autoload_enable 1/1 ... [2025-12-04 09:12:07.704320][1382.356771524], took 0.27min
2025-12-04T09:12:07.7105561Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091206.xml
2025-12-04T09:12:07.7812696Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:12:07.780891][1382.433350171]
2025-12-04T09:12:08.1370202Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:12:11.0676656Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:12:11.0698703Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:12:18.0607450Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done
2025-12-04T09:12:18.0699436Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=3171501 sha256=a96ede133984863bef03a3f4745f0d550f63a1802eaf167819a95329fe773fe7
2025-12-04T09:12:18.0701012Z   Stored in directory: /tmp/pip-ephem-wheel-cache-sxpv6ac1/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T09:12:18.0719438Z Successfully built torch_test_cpp_extension
2025-12-04T09:12:18.4262914Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:12:18.4994869Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:12:18.8695016Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test
2025-12-04T09:12:20.4671090Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:12:20.4691482Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test
2025-12-04T09:12:22.3326184Z   Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done
2025-12-04T09:12:22.3332968Z [?25h  Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp310-cp310-linux_x86_64.whl size=2938 sha256=1cd48e4a38a1d388c0ab94c3cdf11436187c702d5dafb568f53003c882883c41
2025-12-04T09:12:22.3334843Z   Stored in directory: /tmp/pip-ephem-wheel-cache-hd5el9kk/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80
2025-12-04T09:12:22.3352330Z Successfully built no_python_abi_suffix_test
2025-12-04T09:12:22.6878633Z Installing collected packages: no_python_abi_suffix_test
2025-12-04T09:12:22.6985857Z Successfully installed no_python_abi_suffix_test-0.0.0
2025-12-04T09:12:22.7570408Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:12:22.7574436Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:22.757163]
2025-12-04T09:12:26.0262272Z 
2025-12-04T09:12:26.0263316Z 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_1316de4381b165ea_.log
2025-12-04T09:12:26.0264223Z Running 0 items in this shard:
2025-12-04T09:12:26.0264415Z 
2025-12-04T09:12:26.0264790Z Finished test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:12:26.026058][1400.678516695], took 0.30min
2025-12-04T09:12:26.0322063Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-a6f12782d6c11deb.xml
2025-12-04T09:12:26.0954388Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:12:26.095203][1400.747664319]
2025-12-04T09:12:26.4150247Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:12:29.2994511Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:12:29.3014959Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:12:38.5322039Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done
2025-12-04T09:12:38.5577230Z [?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=e641d77d5f0fe30c8c2c25995e2038f06c7c86e74518118c969cedd2025b7ed7
2025-12-04T09:12:38.5579419Z   Stored in directory: /tmp/pip-ephem-wheel-cache-t3_1m37f/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T09:12:38.5597252Z Successfully built torch_test_cpp_extension
2025-12-04T09:12:38.9148447Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:12:39.0773073Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:12:39.4459706Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test
2025-12-04T09:12:41.0386691Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:12:41.0408570Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test
2025-12-04T09:12:42.8048153Z   Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ done
2025-12-04T09:12:42.8057285Z [?25h  Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp310-cp310-linux_x86_64.whl size=2938 sha256=845380c2b17f74852892f1ab2a479becd770469810eda2de3a387f2424e470f8
2025-12-04T09:12:42.8059665Z   Stored in directory: /tmp/pip-ephem-wheel-cache-yh67gmu3/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80
2025-12-04T09:12:42.8076952Z Successfully built no_python_abi_suffix_test
2025-12-04T09:12:43.1642509Z Installing collected packages: no_python_abi_suffix_test
2025-12-04T09:12:43.1748985Z Successfully installed no_python_abi_suffix_test-0.0.0
2025-12-04T09:12:43.2335908Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:12:43.2341410Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:43.233665]
2025-12-04T09:12:46.5027810Z 
2025-12-04T09:12:46.5029256Z 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_d22fc9efdcc6743b_.log
2025-12-04T09:12:46.5030128Z Running 0 items in this shard:
2025-12-04T09:12:46.5030319Z 
2025-12-04T09:12:46.5030660Z Finished test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:12:46.502678][1421.155137136], took 0.34min
2025-12-04T09:12:46.5087811Z 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-acfd1545795d6c54.xml
2025-12-04T09:12:46.5818619Z Running inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:12:46.581523][1421.233983658]
2025-12-04T09:12:46.5819287Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:12:46.5821666Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_collective_autotuning.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:46.581865]
2025-12-04T09:12:47.9982242Z 
2025-12-04T09:12:47.9983660Z 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_0d27e58498a3d84b_.log
2025-12-04T09:12:47.9984481Z 
2025-12-04T09:12:47.9984846Z Finished inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:12:47.998022][1422.650481825], took 0.02min
2025-12-04T09:12:48.0047060Z Running test_functional_autograd_benchmark 1/1 ... [2025-12-04 09:12:48.004478][1422.656939476]
2025-12-04T09:12:48.0047685Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:12:48.0051245Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:48.004848]
2025-12-04T09:12:50.9233799Z 
2025-12-04T09:12:50.9235158Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_1cb9dffb0b020bfe_.log
2025-12-04T09:12:50.9236061Z Running 0 items in this shard:
2025-12-04T09:12:50.9236267Z 
2025-12-04T09:12:50.9236614Z Finished test_functional_autograd_benchmark 1/1 ... [2025-12-04 09:12:50.923101][1425.575560248], took 0.05min
2025-12-04T09:12:50.9294110Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functional_autograd_benchmark/test_functional_autograd_benchmark-ebbb5d77f7a6e71f.xml
2025-12-04T09:12:50.9596933Z Running inductor/test_select_algorithm 1/1 ... [2025-12-04 09:12:50.959439][1425.611900522]
2025-12-04T09:12:50.9597572Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:12:50.9601235Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_select_algorithm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:50.959803]
2025-12-04T09:12:57.8838768Z 
2025-12-04T09:12:57.8839777Z inductor/test_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_select_algorithm_1.1_46c0fddd4ea0276b_.log
2025-12-04T09:12:57.8840538Z 
2025-12-04T09:12:57.8840869Z Finished inductor/test_select_algorithm 1/1 ... [2025-12-04 09:12:57.883591][1432.536052216], took 0.12min
2025-12-04T09:12:57.8904894Z Running inductor/test_torchinductor_dynamic_shapes 2/2 ... [2025-12-04 09:12:57.890268][1432.542730132]
2025-12-04T09:12:57.8905482Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:12:57.8909035Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:57.890662]
2025-12-04T09:13:07.1694843Z 
2025-12-04T09:13:07.1695925Z inductor/test_torchinductor_dynamic_shapes 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_2.2_090ba2b28f34e08e_.log
2025-12-04T09:13:07.1696903Z Running 0 items in this shard:
2025-12-04T09:13:07.1697103Z 
2025-12-04T09:13:07.1697518Z Finished inductor/test_torchinductor_dynamic_shapes 2/2 ... [2025-12-04 09:13:07.169308][1441.821769117], took 0.15min
2025-12-04T09:13:07.1756563Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-76a06cbc00f4f1ab.xml
2025-12-04T09:13:07.2512653Z Running inductor/test_torchinductor_codegen_dynamic_shapes 1/2 ... [2025-12-04 09:13:07.250963][1441.90342256]
2025-12-04T09:13:07.2513258Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:13:07.2516151Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:07.251337]
2025-12-04T09:13:16.4298810Z 
2025-12-04T09:13:16.4300129Z 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_745bb82ffae92e3e_.log
2025-12-04T09:13:16.4301342Z Running 0 items in this shard:
2025-12-04T09:13:16.4301536Z 
2025-12-04T09:13:16.4302040Z Finished inductor/test_torchinductor_codegen_dynamic_shapes 1/2 ... [2025-12-04 09:13:16.429605][1451.082064537], took 0.15min
2025-12-04T09:13:16.4360454Z 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-f5e38bc8ca9294c5.xml
2025-12-04T09:13:16.5072075Z Running inductor/test_torchinductor_codegen_dynamic_shapes 2/2 ... [2025-12-04 09:13:16.506919][1451.159380514]
2025-12-04T09:13:16.5072770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:13:16.5075768Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:16.507313]
2025-12-04T09:13:25.5846118Z 
2025-12-04T09:13:25.5847877Z 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_300e55785cd0ec7c_.log
2025-12-04T09:13:25.5848956Z Running 0 items in this shard:
2025-12-04T09:13:25.5849145Z 
2025-12-04T09:13:25.5849576Z Finished inductor/test_torchinductor_codegen_dynamic_shapes 2/2 ... [2025-12-04 09:13:25.584411][1460.23687162], took 0.15min
2025-12-04T09:13:25.5910928Z 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-92c00ddc2c07be4f.xml
2025-12-04T09:13:25.6583914Z Running inductor/test_pattern_matcher 1/1 ... [2025-12-04 09:13:25.658098][1460.310558711]
2025-12-04T09:13:25.6584458Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:13:25.6588076Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pattern_matcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:25.658498]
2025-12-04T09:13:32.6326878Z 
2025-12-04T09:13:32.6328228Z inductor/test_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pattern_matcher_1.1_4a1c1c419dd29f24_.log
2025-12-04T09:13:32.6329006Z 
2025-12-04T09:13:32.6329333Z Finished inductor/test_pattern_matcher 1/1 ... [2025-12-04 09:13:32.632501][1467.284961864], took 0.12min
2025-12-04T09:13:32.6397756Z Running inductor/test_smoke 1/1 ... [2025-12-04 09:13:32.639536][1467.291998717]
2025-12-04T09:13:32.6398352Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:13:32.6401803Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_smoke.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:32.639904]
2025-12-04T09:13:39.5143257Z 
2025-12-04T09:13:39.5144121Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_ebcb71ae9e77d6a1_.log
2025-12-04T09:13:39.5144787Z 
2025-12-04T09:13:39.5145069Z Finished inductor/test_smoke 1/1 ... [2025-12-04 09:13:39.514104][1474.166562509], took 0.11min
2025-12-04T09:13:39.5213175Z Running dynamo/test_after_aot 1/1 ... [2025-12-04 09:13:39.521123][1474.173585218]
2025-12-04T09:13:39.5213656Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:13:39.5217160Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_after_aot.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:39.521491]
2025-12-04T09:13:42.7405846Z 
2025-12-04T09:13:42.7406753Z dynamo/test_after_aot 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_after_aot_1.1_2cd2e99ec8bcaa54_.log
2025-12-04T09:13:42.7407545Z Running 0 items in this shard:
2025-12-04T09:13:42.7407747Z 
2025-12-04T09:13:42.7408025Z Finished dynamo/test_after_aot 1/1 ... [2025-12-04 09:13:42.740397][1477.392855719], took 0.05min
2025-12-04T09:13:42.7471568Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_after_aot/dynamo.test_after_aot-7c514785ca5ae5e5.xml
2025-12-04T09:13:42.8121176Z Running inductor/test_minifier 1/1 ... [2025-12-04 09:13:42.811841][1477.46430238]
2025-12-04T09:13:42.8121950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:13:42.8124998Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:42.812218]
2025-12-04T09:13:49.8865778Z 
2025-12-04T09:13:49.8867254Z inductor/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_1.1_c22185dc67fbd515_.log
2025-12-04T09:13:49.8868793Z Running 0 items in this shard:
2025-12-04T09:13:49.8869145Z 
2025-12-04T09:13:49.8869703Z Finished inductor/test_minifier 1/1 ... [2025-12-04 09:13:49.886401][1484.538859687], took 0.12min
2025-12-04T09:13:49.8936165Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_minifier/inductor.test_minifier-4cce70d9593e116e.xml
2025-12-04T09:13:49.9540890Z Running inductor/test_compiled_autograd 1/2 ... [2025-12-04 09:13:49.953739][1484.606198358]
2025-12-04T09:13:49.9541807Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:13:49.9544814Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_autograd.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:49.954141]
2025-12-04T09:13:59.7825100Z 
2025-12-04T09:13:59.7826229Z inductor/test_compiled_autograd 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_autograd_1.2_492e49fba80879e1_.log
2025-12-04T09:13:59.7827123Z Running 0 items in this shard:
2025-12-04T09:13:59.7827318Z 
2025-12-04T09:13:59.7827663Z Finished inductor/test_compiled_autograd 1/2 ... [2025-12-04 09:13:59.782316][1494.434774397], took 0.16min
2025-12-04T09:13:59.7893995Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_autograd/inductor.test_compiled_autograd-fba6ce10f8c81518.xml
2025-12-04T09:13:59.8686219Z Running inductor/test_custom_lowering 1/1 ... [2025-12-04 09:13:59.868293][1494.520753068]
2025-12-04T09:13:59.8686843Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:13:59.8688895Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:59.868645]
2025-12-04T09:14:07.0969880Z 
2025-12-04T09:14:07.0971075Z 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_34ef9e88e69d7684_.log
2025-12-04T09:14:07.0972587Z Running 0 items in this shard:
2025-12-04T09:14:07.0972795Z 
2025-12-04T09:14:07.0973125Z Finished inductor/test_custom_lowering 1/1 ... [2025-12-04 09:14:07.096786][1501.749244501], took 0.12min
2025-12-04T09:14:07.1039900Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_custom_lowering/inductor.test_custom_lowering-35e12678de97f74f.xml
2025-12-04T09:14:07.1789216Z Running inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:14:07.178613][1501.831071605]
2025-12-04T09:14:07.1789812Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:14:07.1792873Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:07.178978]
2025-12-04T09:14:14.2032688Z 
2025-12-04T09:14:14.2034030Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_a46c74a94a375b19_.log
2025-12-04T09:14:14.2034781Z 
2025-12-04T09:14:14.2035110Z Finished inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:14:14.203045][1508.855504283], took 0.12min
2025-12-04T09:14:14.2108970Z Running inductor/test_fused_attention 1/1 ... [2025-12-04 09:14:14.210640][1508.863102322]
2025-12-04T09:14:14.2109496Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:14:14.2112998Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:14.211016]
2025-12-04T09:14:21.3856475Z 
2025-12-04T09:14:21.3857813Z 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_d56781c2a7337238_.log
2025-12-04T09:14:21.3858713Z Running 0 items in this shard:
2025-12-04T09:14:21.3858903Z 
2025-12-04T09:14:21.3859237Z Finished inductor/test_fused_attention 1/1 ... [2025-12-04 09:14:21.385441][1516.03790232], took 0.12min
2025-12-04T09:14:21.3928276Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fused_attention/inductor.test_fused_attention-ff5f45ffd04ad635.xml
2025-12-04T09:14:21.4677531Z Running dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 09:14:21.467436][1516.11989682]
2025-12-04T09:14:21.4678101Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:14:21.4681086Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:21.467840]
2025-12-04T09:14:28.5423192Z 
2025-12-04T09:14:28.5424573Z 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_0a1da2ed7411d662_.log
2025-12-04T09:14:28.5425542Z Running 0 items in this shard:
2025-12-04T09:14:28.5425747Z 
2025-12-04T09:14:28.5426109Z Finished dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 09:14:28.542115][1523.19457368], took 0.12min
2025-12-04T09:14:28.5495723Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_activation_checkpointing/dynamo.test_activation_checkpointing-7a105853f9702d42.xml
2025-12-04T09:14:28.6167521Z Running inductor/test_binary_folding 1/1 ... [2025-12-04 09:14:28.616478][1523.268938592]
2025-12-04T09:14:28.6168185Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:14:28.6170815Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:28.616825]
2025-12-04T09:14:36.0419318Z 
2025-12-04T09:14:36.0420772Z 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_251b98c295f999e2_.log
2025-12-04T09:14:36.0421730Z Running 0 items in this shard:
2025-12-04T09:14:36.0421920Z 
2025-12-04T09:14:36.0422302Z Finished inductor/test_binary_folding 1/1 ... [2025-12-04 09:14:36.041756][1530.694214165], took 0.12min
2025-12-04T09:14:36.0497429Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_binary_folding/inductor.test_binary_folding-cd15906ba523886d.xml
2025-12-04T09:14:36.1205081Z Running inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 09:14:36.120186][1530.772646117]
2025-12-04T09:14:36.1205662Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:14:36.1208828Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:36.120586]
2025-12-04T09:14:43.7957940Z 
2025-12-04T09:14:43.7959887Z 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_0329094301a4bdc0_.log
2025-12-04T09:14:43.7961656Z Running 0 items in this shard:
2025-12-04T09:14:43.7962018Z 
2025-12-04T09:14:43.7962711Z Finished inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 09:14:43.795603][1538.448061873], took 0.13min
2025-12-04T09:14:43.8035844Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-f63ab7b826a60f7f.xml
2025-12-04T09:14:43.8949804Z Running inductor/test_mkldnn_pattern_matcher 2/2 ... [2025-12-04 09:14:43.894700][1538.547160122]
2025-12-04T09:14:43.8950702Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:14:43.8954475Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:43.895083]
2025-12-04T09:14:51.5714835Z 
2025-12-04T09:14:51.5715894Z inductor/test_mkldnn_pattern_matcher 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_2.2_bc2a0c2ff24c613e_.log
2025-12-04T09:14:51.5716847Z Running 0 items in this shard:
2025-12-04T09:14:51.5717052Z 
2025-12-04T09:14:51.5717400Z Finished inductor/test_mkldnn_pattern_matcher 2/2 ... [2025-12-04 09:14:51.571165][1546.223626127], took 0.13min
2025-12-04T09:14:51.5789863Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-66047c3970945dde.xml
2025-12-04T09:14:51.6507279Z Running dynamo/test_logging 1/1 ... [2025-12-04 09:14:51.650447][1546.302907072]
2025-12-04T09:14:51.6507753Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:14:51.6511308Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_logging.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:51.650849]
2025-12-04T09:14:58.7254294Z 
2025-12-04T09:14:58.7255189Z dynamo/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_logging_1.1_767e8d06c0152844_.log
2025-12-04T09:14:58.7255965Z Running 0 items in this shard:
2025-12-04T09:14:58.7256154Z 
2025-12-04T09:14:58.7256440Z Finished dynamo/test_logging 1/1 ... [2025-12-04 09:14:58.725194][1553.37765448], took 0.12min
2025-12-04T09:14:58.7331128Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_logging/dynamo.test_logging-0d9f06f2e92f1618.xml
2025-12-04T09:14:58.7989300Z Running inductor/test_inductor_freezing 1/1 ... [2025-12-04 09:14:58.798596][1553.451056433]
2025-12-04T09:14:58.7990170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:14:58.7993618Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inductor_freezing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:58.798998]
2025-12-04T09:15:06.2747336Z 
2025-12-04T09:15:06.2748421Z inductor/test_inductor_freezing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_freezing_1.1_82ba4091e9a9cf6c_.log
2025-12-04T09:15:06.2749304Z Running 0 items in this shard:
2025-12-04T09:15:06.2749799Z 
2025-12-04T09:15:06.2750137Z Finished inductor/test_inductor_freezing 1/1 ... [2025-12-04 09:15:06.274542][1560.927001501], took 0.12min
2025-12-04T09:15:06.2826060Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_freezing/inductor.test_inductor_freezing-99dac250645afb53.xml
2025-12-04T09:15:06.3502699Z Running inductor/test_layout_optim 1/1 ... [2025-12-04 09:15:06.349985][1561.002444477]
2025-12-04T09:15:06.3503230Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:06.3506261Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:06.350334]
2025-12-04T09:15:13.3249184Z 
2025-12-04T09:15:13.3250164Z 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_500777240f27d17d_.log
2025-12-04T09:15:13.3250902Z 
2025-12-04T09:15:13.3251210Z Finished inductor/test_layout_optim 1/1 ... [2025-12-04 09:15:13.324675][1567.977135312], took 0.12min
2025-12-04T09:15:13.3333112Z Running dynamo/test_unspec 1/1 ... [2025-12-04 09:15:13.333126][1567.985587533]
2025-12-04T09:15:13.3333569Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:13.3337653Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_unspec.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:13.333515]
2025-12-04T09:15:16.9030215Z 
2025-12-04T09:15:16.9031189Z dynamo/test_unspec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unspec_1.1_e48a1d6c7b77fd0a_.log
2025-12-04T09:15:16.9032016Z Running 0 items in this shard:
2025-12-04T09:15:16.9032205Z 
2025-12-04T09:15:16.9032528Z Finished dynamo/test_unspec 1/1 ... [2025-12-04 09:15:16.902820][1571.555280443], took 0.06min
2025-12-04T09:15:16.9110333Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_unspec/dynamo.test_unspec-dda5803ba144cfcd.xml
2025-12-04T09:15:16.9828395Z Running dynamo/test_repros 1/1 ... [2025-12-04 09:15:16.982561][1571.635021113]
2025-12-04T09:15:16.9830009Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:16.9832452Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_repros.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:16.982954]
2025-12-04T09:15:21.2032432Z 
2025-12-04T09:15:21.2033345Z dynamo/test_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_repros_1.1_0826fd938b8dbdc5_.log
2025-12-04T09:15:21.2045999Z Running 50 items in this shard: test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand
2025-12-04T09:15:21.2058092Z 
2025-12-04T09:15:21.2058377Z Finished dynamo/test_repros 1/1 ... [2025-12-04 09:15:21.203093][1575.855551849], took 0.07min
2025-12-04T09:15:21.2114088Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_repros/dynamo.test_repros-6866b273fbd9fcdc.xml
2025-12-04T09:15:21.2436469Z Running dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:15:21.243431][1575.895892056]
2025-12-04T09:15:21.2436997Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:21.2440121Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_higher_order_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:21.243768]
2025-12-04T09:15:29.3195620Z 
2025-12-04T09:15:29.3196679Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_7b00e52c3532bcb1_.log
2025-12-04T09:15:29.3197534Z Running 0 items in this shard:
2025-12-04T09:15:29.3197723Z 
2025-12-04T09:15:29.3198046Z Finished dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:15:29.319358][1583.971818268], took 0.13min
2025-12-04T09:15:29.3278071Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_higher_order_ops/dynamo.test_higher_order_ops-51369e3b314af4af.xml
2025-12-04T09:15:29.3908729Z Running inductor/test_mmdecomp 1/1 ... [2025-12-04 09:15:29.390644][1584.043104567]
2025-12-04T09:15:29.3909228Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:29.3912871Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mmdecomp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:29.390996]
2025-12-04T09:15:36.4654067Z 
2025-12-04T09:15:36.4655129Z inductor/test_mmdecomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mmdecomp_1.1_ee5c76a6aafb7365_.log
2025-12-04T09:15:36.4655940Z Running 0 items in this shard:
2025-12-04T09:15:36.4656131Z 
2025-12-04T09:15:36.4656441Z Finished inductor/test_mmdecomp 1/1 ... [2025-12-04 09:15:36.465198][1591.117659149], took 0.12min
2025-12-04T09:15:36.4737942Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mmdecomp/inductor.test_mmdecomp-b667a6ff8b6e7889.xml
2025-12-04T09:15:36.5545802Z Running dynamo/test_ctx_manager 1/1 ... [2025-12-04 09:15:36.554331][1591.206791052]
2025-12-04T09:15:36.5546303Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:36.5549805Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_ctx_manager.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:36.554724]
2025-12-04T09:15:43.7833912Z 
2025-12-04T09:15:43.7835345Z dynamo/test_ctx_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_ctx_manager_1.1_d411f071e84b110e_.log
2025-12-04T09:15:43.7836873Z Running 0 items in this shard:
2025-12-04T09:15:43.7837211Z 
2025-12-04T09:15:43.7837807Z Finished dynamo/test_ctx_manager 1/1 ... [2025-12-04 09:15:43.783187][1598.435647033], took 0.12min
2025-12-04T09:15:43.7922324Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_ctx_manager/dynamo.test_ctx_manager-84249a2e064dd1ad.xml
2025-12-04T09:15:43.8714113Z Running dynamo/test_exc 1/1 ... [2025-12-04 09:15:43.871053][1598.523512878]
2025-12-04T09:15:43.8714686Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:43.8717342Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_exc.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:43.871428]
2025-12-04T09:15:47.0903628Z 
2025-12-04T09:15:47.0904759Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_12867936a36983f2_.log
2025-12-04T09:15:47.0905517Z Running 0 items in this shard:
2025-12-04T09:15:47.0905703Z 
2025-12-04T09:15:47.0905958Z Finished dynamo/test_exc 1/1 ... [2025-12-04 09:15:47.090185][1601.742645977], took 0.05min
2025-12-04T09:15:47.0988894Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_exc/dynamo.test_exc-272e1cd1285dd008.xml
2025-12-04T09:15:47.1260641Z Running dynamo/test_misc 1/1 ... [2025-12-04 09:15:47.125821][1601.778283769]
2025-12-04T09:15:47.1261242Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:47.1264009Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_misc.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:47.126158]
2025-12-04T09:15:52.9987354Z 
2025-12-04T09:15:52.9988582Z dynamo/test_misc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_misc_1.1_027df1f65acbfbf4_.log
2025-12-04T09:15:52.9989637Z Running 0 items in this shard:
2025-12-04T09:15:52.9989838Z 
2025-12-04T09:15:52.9990096Z Finished dynamo/test_misc 1/1 ... [2025-12-04 09:15:52.998463][1607.650923132], took 0.10min
2025-12-04T09:15:53.0074317Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_misc/dynamo.test_misc-2a1b966c3a5ac692.xml
2025-12-04T09:15:53.0384310Z Running inductor/test_cpu_select_algorithm 1/1 ... [2025-12-04 09:15:53.038202][1607.69066338]
2025-12-04T09:15:53.0384975Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:15:53.0388323Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:53.038541]
2025-12-04T09:16:03.8191069Z 
2025-12-04T09:16:03.8192155Z inductor/test_cpu_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_1.1_e5d1931ae5ac1cd1_.log
2025-12-04T09:16:03.8193050Z Running 0 items in this shard:
2025-12-04T09:16:03.8193253Z 
2025-12-04T09:16:03.8193615Z Finished inductor/test_cpu_select_algorithm 1/1 ... [2025-12-04 09:16:03.818919][1618.4713786], took 0.18min
2025-12-04T09:16:03.8279511Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_select_algorithm/inductor.test_cpu_select_algorithm-704a20b0757f184f.xml
2025-12-04T09:16:03.9080228Z Running inductor/test_aot_inductor_arrayref 1/1 ... [2025-12-04 09:16:03.907667][1618.560126626]
2025-12-04T09:16:03.9080980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:03.9083334Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_arrayref.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:03.908038]
2025-12-04T09:16:12.0340401Z 
2025-12-04T09:16:12.0341610Z inductor/test_aot_inductor_arrayref 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_arrayref_1.1_f1d31dd5a80cb633_.log
2025-12-04T09:16:12.0342530Z Running 0 items in this shard:
2025-12-04T09:16:12.0342718Z 
2025-12-04T09:16:12.0343078Z Finished inductor/test_aot_inductor_arrayref 1/1 ... [2025-12-04 09:16:12.033867][1626.686327196], took 0.14min
2025-12-04T09:16:12.0430161Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-e0c735a11a69a1a3.xml
2025-12-04T09:16:12.1217927Z Running inductor/test_cpu_cpp_wrapper 1/4 ... [2025-12-04 09:16:12.121439][1626.77389778]
2025-12-04T09:16:12.1218492Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:12.1221188Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:12.121825]
2025-12-04T09:16:21.0487762Z 
2025-12-04T09:16:21.0488745Z inductor/test_cpu_cpp_wrapper 1/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.4_85917e2d8ee1e06a_.log
2025-12-04T09:16:21.0489590Z Running 0 items in this shard:
2025-12-04T09:16:21.0489796Z 
2025-12-04T09:16:21.0490113Z Finished inductor/test_cpu_cpp_wrapper 1/4 ... [2025-12-04 09:16:21.048619][1635.701076232], took 0.15min
2025-12-04T09:16:21.0579738Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_cpp_wrapper/inductor.test_cpu_cpp_wrapper-9e9c4fe10fdd2a5e.xml
2025-12-04T09:16:21.1361635Z Running inductor/test_triton_cpu_backend 1/1 ... [2025-12-04 09:16:21.135848][1635.788307625]
2025-12-04T09:16:21.1362182Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:21.1365178Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_cpu_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:21.136223]
2025-12-04T09:16:28.3611508Z 
2025-12-04T09:16:28.3612869Z inductor/test_triton_cpu_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_cpu_backend_1.1_7a52ebc630303445_.log
2025-12-04T09:16:28.3613643Z 
2025-12-04T09:16:28.3613994Z Finished inductor/test_triton_cpu_backend 1/1 ... [2025-12-04 09:16:28.360905][1643.013365411], took 0.12min
2025-12-04T09:16:28.3708133Z Running test_custom_ops 1/1 ... [2025-12-04 09:16:28.370556][1643.023018834]
2025-12-04T09:16:28.3708619Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:28.3711743Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:28.370918]
2025-12-04T09:16:32.9417557Z 
2025-12-04T09:16:32.9418645Z test_custom_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_custom_ops_1.1_2a835674f9ca1a91_.log
2025-12-04T09:16:32.9419371Z Running 0 items in this shard:
2025-12-04T09:16:32.9419637Z 
2025-12-04T09:16:32.9419890Z Finished test_custom_ops 1/1 ... [2025-12-04 09:16:32.941562][1647.594022875], took 0.08min
2025-12-04T09:16:32.9509626Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_custom_ops/test_custom_ops-305143864aa0d3b5.xml
2025-12-04T09:16:33.0228143Z Running test_content_store 1/1 ... [2025-12-04 09:16:33.022514][1647.674974353]
2025-12-04T09:16:33.0228638Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:33.0231800Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:33.022862]
2025-12-04T09:16:36.2417107Z 
2025-12-04T09:16:36.2418221Z test_content_store 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_content_store_1.1_0f51d722d28a9efe_.log
2025-12-04T09:16:36.2419062Z Running 0 items in this shard:
2025-12-04T09:16:36.2419291Z 
2025-12-04T09:16:36.2419824Z Finished test_content_store 1/1 ... [2025-12-04 09:16:36.241446][1650.893905261], took 0.05min
2025-12-04T09:16:36.2512525Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_content_store/test_content_store-9538a58c0b3e0fa4.xml
2025-12-04T09:16:36.2838338Z Running inductor/test_halide 1/1 ... [2025-12-04 09:16:36.283572][1650.936032967]
2025-12-04T09:16:36.2839012Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:36.2842397Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_halide.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:36.283941]
2025-12-04T09:16:43.5587652Z 
2025-12-04T09:16:43.5588662Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_58a1fbf53eb0b62b_.log
2025-12-04T09:16:43.5589674Z 
2025-12-04T09:16:43.5589957Z Finished inductor/test_halide 1/1 ... [2025-12-04 09:16:43.558541][1658.211001166], took 0.12min
2025-12-04T09:16:43.5687758Z Running inductor/test_compile_subprocess 1/1 ... [2025-12-04 09:16:43.568542][1658.221003567]
2025-12-04T09:16:43.5688293Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:43.5691914Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile_subprocess.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:43.568902]
2025-12-04T09:16:52.6460954Z 
2025-12-04T09:16:52.6462073Z inductor/test_compile_subprocess 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_1.1_b6b5afedbd7fa748_.log
2025-12-04T09:16:52.6463047Z Running 0 items in this shard:
2025-12-04T09:16:52.6463268Z 
2025-12-04T09:16:52.6463687Z Finished inductor/test_compile_subprocess 1/1 ... [2025-12-04 09:16:52.645927][1667.298384981], took 0.15min
2025-12-04T09:16:52.6557639Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-9b096e512b2c950e.xml
2025-12-04T09:16:52.7314503Z Running inductor/test_multi_kernel 1/1 ... [2025-12-04 09:16:52.731121][1667.383580165]
2025-12-04T09:16:52.7315012Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:52.7317913Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:52.731507]
2025-12-04T09:16:59.7058128Z 
2025-12-04T09:16:59.7059106Z 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_1962cd95b94e5e92_.log
2025-12-04T09:16:59.7059941Z 
2025-12-04T09:16:59.7060267Z Finished inductor/test_multi_kernel 1/1 ... [2025-12-04 09:16:59.705589][1674.358049813], took 0.12min
2025-12-04T09:16:59.7158361Z Running inductor/test_triton_syntax 1/1 ... [2025-12-04 09:16:59.715596][1674.368058387]
2025-12-04T09:16:59.7158917Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:16:59.7162410Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_syntax.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:59.715950]
2025-12-04T09:17:06.7905592Z 
2025-12-04T09:17:06.7906539Z inductor/test_triton_syntax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_syntax_1.1_14daff261e8aa1dc_.log
2025-12-04T09:17:06.7907311Z 
2025-12-04T09:17:06.7907626Z Finished inductor/test_triton_syntax 1/1 ... [2025-12-04 09:17:06.790186][1681.442645975], took 0.12min
2025-12-04T09:17:06.8004432Z Running inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:17:06.800235][1681.452696754]
2025-12-04T09:17:06.8004898Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:17:06.8008483Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_b2b_gemm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:06.800613]
2025-12-04T09:17:13.8253586Z 
2025-12-04T09:17:13.8254799Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_faec1aa6e49cb45d_.log
2025-12-04T09:17:13.8255509Z 
2025-12-04T09:17:13.8255798Z Finished inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:17:13.825131][1688.477589932], took 0.12min
2025-12-04T09:17:13.8354116Z Running inductor/test_ck_backend 1/1 ... [2025-12-04 09:17:13.835187][1688.48764966]
2025-12-04T09:17:13.8354753Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:17:13.8358432Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:13.835539]
2025-12-04T09:17:20.8103376Z 
2025-12-04T09:17:20.8104316Z 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_dd01af44a73576bf_.log
2025-12-04T09:17:20.8105044Z 
2025-12-04T09:17:20.8105344Z Finished inductor/test_ck_backend 1/1 ... [2025-12-04 09:17:20.810106][1695.46256587], took 0.12min
2025-12-04T09:17:20.8203527Z Running inductor/test_gpu_cpp_wrapper 1/1 ... [2025-12-04 09:17:20.820165][1695.472627716]
2025-12-04T09:17:20.8204024Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:17:20.8207719Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_gpu_cpp_wrapper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:20.820532]
2025-12-04T09:17:28.3459644Z 
2025-12-04T09:17:28.3460706Z inductor/test_gpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_gpu_cpp_wrapper_1.1_29b307e4088ea038_.log
2025-12-04T09:17:28.3461478Z 
2025-12-04T09:17:28.3461799Z Finished inductor/test_gpu_cpp_wrapper 1/1 ... [2025-12-04 09:17:28.345742][1702.998203252], took 0.13min
2025-12-04T09:17:28.3560255Z Running inductor/test_flex_flash 1/1 ... [2025-12-04 09:17:28.355803][1703.008264859]
2025-12-04T09:17:28.3560770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:17:28.3564271Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_flash.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:28.356181]
2025-12-04T09:17:32.5767564Z 
2025-12-04T09:17:32.5768511Z inductor/test_flex_flash 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_flash_1.1_dafcc8cc69731816_.log
2025-12-04T09:17:32.5769329Z Running 0 items in this shard:
2025-12-04T09:17:32.5769532Z 
2025-12-04T09:17:32.5769827Z Finished inductor/test_flex_flash 1/1 ... [2025-12-04 09:17:32.576569][1707.229025412], took 0.07min
2025-12-04T09:17:32.5864952Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-e29fb33613ee5f57.xml
2025-12-04T09:17:32.6612951Z Running inductor/test_native_matmul 1/1 ... [2025-12-04 09:17:32.661014][1707.31347407]
2025-12-04T09:17:32.6613454Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:17:32.6616751Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:32.661403]
2025-12-04T09:17:39.5857392Z 
2025-12-04T09:17:39.5858531Z 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_855bc1e07ad1ff65_.log
2025-12-04T09:17:39.5859986Z 
2025-12-04T09:17:39.5860315Z Finished inductor/test_native_matmul 1/1 ... [2025-12-04 09:17:39.585499][1714.237959705], took 0.12min
2025-12-04T09:17:39.5960333Z Running inductor/test_loop_ordering 1/1 ... [2025-12-04 09:17:39.595805][1714.248266647]
2025-12-04T09:17:39.5961067Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:17:39.5964266Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_loop_ordering.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:39.596165]
2025-12-04T09:17:46.6206452Z 
2025-12-04T09:17:46.6207581Z inductor/test_loop_ordering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_loop_ordering_1.1_bb80be144e746dc1_.log
2025-12-04T09:17:46.6208322Z 
2025-12-04T09:17:46.6208648Z Finished inductor/test_loop_ordering 1/1 ... [2025-12-04 09:17:46.620400][1721.272859514], took 0.12min
2025-12-04T09:17:46.6308998Z Running inductor/test_lookup_table 1/1 ... [2025-12-04 09:17:46.630710][1721.283171493]
2025-12-04T09:17:46.6309580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:17:46.6313569Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_lookup_table.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:46.631083]
2025-12-04T09:17:53.5550702Z 
2025-12-04T09:17:53.5551671Z inductor/test_lookup_table 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_lookup_table_1.1_b237e2882b1a982e_.log
2025-12-04T09:17:53.5552398Z 
2025-12-04T09:17:53.5552711Z Finished inductor/test_lookup_table 1/1 ... [2025-12-04 09:17:53.554864][1728.207321027], took 0.12min
2025-12-04T09:17:53.5654749Z Running inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 09:17:53.565268][1728.21772866]
2025-12-04T09:17:53.5655299Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:17:53.5658896Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:53.565656]
2025-12-04T09:18:00.4900500Z 
2025-12-04T09:18:00.4901554Z 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_d9643c1d9f98f420_.log
2025-12-04T09:18:00.4902376Z 
2025-12-04T09:18:00.4902734Z Finished inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 09:18:00.489810][1735.142268046], took 0.12min
2025-12-04T09:18:00.5003524Z Running inductor/test_inplace_padding 1/1 ... [2025-12-04 09:18:00.500134][1735.152594712]
2025-12-04T09:18:00.5004049Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:18:00.5007663Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inplace_padding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:00.500509]
2025-12-04T09:18:07.9257921Z 
2025-12-04T09:18:07.9258955Z inductor/test_inplace_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplace_padding_1.1_e39687ab9de7747d_.log
2025-12-04T09:18:07.9259785Z 
2025-12-04T09:18:07.9260129Z Finished inductor/test_inplace_padding 1/1 ... [2025-12-04 09:18:07.925585][1742.578042768], took 0.12min
2025-12-04T09:18:07.9361219Z Running inductor/test_triton_wrapper 1/1 ... [2025-12-04 09:18:07.935932][1742.588394063]
2025-12-04T09:18:07.9361732Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:18:07.9365925Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_wrapper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:07.936339]
2025-12-04T09:18:14.9106850Z 
2025-12-04T09:18:14.9108104Z inductor/test_triton_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_wrapper_1.1_c7662b924c987c1b_.log
2025-12-04T09:18:14.9108871Z 
2025-12-04T09:18:14.9109194Z Finished inductor/test_triton_wrapper 1/1 ... [2025-12-04 09:18:14.910495][1749.562953663], took 0.12min
2025-12-04T09:18:14.9210487Z Running inductor/test_control_deps 1/1 ... [2025-12-04 09:18:14.920828][1749.573289316]
2025-12-04T09:18:14.9210994Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:18:14.9214080Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:14.921193]
2025-12-04T09:18:21.8978694Z 
2025-12-04T09:18:21.8980246Z 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_29360eb3e7e29350_.log
2025-12-04T09:18:21.8981670Z 
2025-12-04T09:18:21.8982265Z Finished inductor/test_control_deps 1/1 ... [2025-12-04 09:18:21.897649][1756.550108265], took 0.12min
2025-12-04T09:18:21.9084933Z Running inductor/test_op_dtype_prop 1/1 ... [2025-12-04 09:18:21.908257][1756.560719532]
2025-12-04T09:18:21.9085766Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:18:21.9090023Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_op_dtype_prop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:21.908668]
2025-12-04T09:18:29.8846333Z 
2025-12-04T09:18:29.8847309Z inductor/test_op_dtype_prop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_op_dtype_prop_1.1_0b6ffc765670a41f_.log
2025-12-04T09:18:29.8848038Z 
2025-12-04T09:18:29.8848392Z Finished inductor/test_op_dtype_prop 1/1 ... [2025-12-04 09:18:29.884434][1764.536892422], took 0.13min
2025-12-04T09:18:29.8952279Z Running inductor/test_inplacing_pass 1/1 ... [2025-12-04 09:18:29.895025][1764.547487223]
2025-12-04T09:18:29.8952800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:18:29.8955906Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inplacing_pass.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:29.895371]
2025-12-04T09:18:36.8695694Z 
2025-12-04T09:18:36.8697317Z inductor/test_inplacing_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplacing_pass_1.1_09420b07e18cb7ab_.log
2025-12-04T09:18:36.8698724Z 
2025-12-04T09:18:36.8699354Z Finished inductor/test_inplacing_pass 1/1 ... [2025-12-04 09:18:36.869365][1771.521823523], took 0.12min
2025-12-04T09:18:36.8802569Z Running inductor/test_split_cat_fx_passes 1/1 ... [2025-12-04 09:18:36.879965][1771.532425712]
2025-12-04T09:18:36.8803390Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:18:36.8807207Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:36.880362]
2025-12-04T09:18:43.8547258Z 
2025-12-04T09:18:43.8548538Z 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_14262c564c649b78_.log
2025-12-04T09:18:43.8549309Z 
2025-12-04T09:18:43.8549654Z Finished inductor/test_split_cat_fx_passes 1/1 ... [2025-12-04 09:18:43.854490][1778.506949991], took 0.12min
2025-12-04T09:18:43.8651364Z Running inductor/test_memory_planning 1/1 ... [2025-12-04 09:18:43.864898][1778.517359851]
2025-12-04T09:18:43.8651894Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:18:43.8654823Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_memory_planning.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:43.865239]
2025-12-04T09:18:51.1399949Z 
2025-12-04T09:18:51.1400914Z inductor/test_memory_planning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_planning_1.1_c02a9e97779adf21_.log
2025-12-04T09:18:51.1401703Z 
2025-12-04T09:18:51.1402027Z Finished inductor/test_memory_planning 1/1 ... [2025-12-04 09:18:51.139734][1785.79219388], took 0.12min
2025-12-04T09:18:51.1504653Z Running inductor/test_memory 1/1 ... [2025-12-04 09:18:51.150240][1785.8027018]
2025-12-04T09:18:51.1505146Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:18:51.1509078Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_memory.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:51.150657]
2025-12-04T09:18:58.0759143Z 
2025-12-04T09:18:58.0760351Z inductor/test_memory 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_1.1_d5148cf241f28734_.log
2025-12-04T09:18:58.0761064Z 
2025-12-04T09:18:58.0761360Z Finished inductor/test_memory 1/1 ... [2025-12-04 09:18:58.075690][1792.728148995], took 0.12min
2025-12-04T09:18:58.0866309Z Running inductor/test_dependencies 1/1 ... [2025-12-04 09:18:58.086403][1792.738864982]
2025-12-04T09:18:58.0866932Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:18:58.0870294Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:58.086757]
2025-12-04T09:19:05.1620773Z 
2025-12-04T09:19:05.1621754Z inductor/test_dependencies 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_dependencies_1.1_7bab1d2ff87ad828_.log
2025-12-04T09:19:05.1622495Z 
2025-12-04T09:19:05.1622821Z Finished inductor/test_dependencies 1/1 ... [2025-12-04 09:19:05.161859][1799.81431636], took 0.12min
2025-12-04T09:19:05.1729199Z Running inductor/test_mix_order_reduction 1/1 ... [2025-12-04 09:19:05.172693][1799.825154665]
2025-12-04T09:19:05.1729728Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:19:05.1733414Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mix_order_reduction.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:05.173079]
2025-12-04T09:19:12.1473697Z 
2025-12-04T09:19:12.1474998Z inductor/test_mix_order_reduction 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mix_order_reduction_1.1_4504b66522c37206_.log
2025-12-04T09:19:12.1476106Z 
2025-12-04T09:19:12.1476450Z Finished inductor/test_mix_order_reduction 1/1 ... [2025-12-04 09:19:12.147141][1806.79960141], took 0.12min
2025-12-04T09:19:12.1575913Z Running dynamo/test_cudagraphs 1/1 ... [2025-12-04 09:19:12.157356][1806.809816584]
2025-12-04T09:19:12.1576393Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:19:12.1580406Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_cudagraphs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:12.157777]
2025-12-04T09:19:15.1764488Z 
2025-12-04T09:19:15.1765738Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_0ee6e5de1cedf40d_.log
2025-12-04T09:19:15.1766454Z 
2025-12-04T09:19:15.1766752Z Finished dynamo/test_cudagraphs 1/1 ... [2025-12-04 09:19:15.176248][1809.828707035], took 0.05min
2025-12-04T09:19:15.1867433Z Running inductor/test_needs_exact_strides 1/1 ... [2025-12-04 09:19:15.186510][1809.838971774]
2025-12-04T09:19:15.1868092Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:19:15.1871999Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:15.186913]
2025-12-04T09:19:22.1612692Z 
2025-12-04T09:19:22.1614293Z 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_59eb4248eef151e2_.log
2025-12-04T09:19:22.1615809Z 
2025-12-04T09:19:22.1616448Z Finished inductor/test_needs_exact_strides 1/1 ... [2025-12-04 09:19:22.161035][1816.813495013], took 0.12min
2025-12-04T09:19:22.1720905Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 09:19:22.171814][1816.824275078]
2025-12-04T09:19:22.1721732Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:19:22.1726195Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:22.172248]
2025-12-04T09:19:29.1963703Z 
2025-12-04T09:19:29.1964647Z 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_ad555ee255bbba93_.log
2025-12-04T09:19:29.1965386Z 
2025-12-04T09:19:29.1965695Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 09:19:29.196145][1823.848606433], took 0.12min
2025-12-04T09:19:29.2066016Z Running inductor/test_mps_basic 1/1 ... [2025-12-04 09:19:29.206388][1823.85884981]
2025-12-04T09:19:29.2066489Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:19:29.2070209Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mps_basic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:29.206743]
2025-12-04T09:19:36.4830770Z 
2025-12-04T09:19:36.4831733Z inductor/test_mps_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mps_basic_1.1_3441a7748d184461_.log
2025-12-04T09:19:36.4832422Z 
2025-12-04T09:19:36.4832734Z Finished inductor/test_mps_basic 1/1 ... [2025-12-04 09:19:36.482864][1831.135324321], took 0.12min
2025-12-04T09:19:36.4934604Z Running inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-12-04 09:19:36.493220][1831.145680972]
2025-12-04T09:19:36.4935209Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:19:36.4938685Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudagraph_trees_expandable_segments.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:36.493597]
2025-12-04T09:19:43.3677701Z 
2025-12-04T09:19:43.3679953Z inductor/test_cudagraph_trees_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_expandable_segments_1.1_0556b8fefb5da088_.log
2025-12-04T09:19:43.3681796Z 
2025-12-04T09:19:43.3682611Z Finished inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-12-04 09:19:43.367560][1838.020019106], took 0.11min
2025-12-04T09:19:43.3782735Z Running xpu/test_fusion 1/1 ... [2025-12-04 09:19:43.378031][1838.030492837]
2025-12-04T09:19:43.3783497Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:19:43.3787899Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:43.378462]
2025-12-04T09:19:46.5980180Z 
2025-12-04T09:19:46.5981181Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_bccce2cf4229603d_.log
2025-12-04T09:19:46.5981931Z Running 0 items in this shard:
2025-12-04T09:19:46.5982120Z 
2025-12-04T09:19:46.5982379Z Finished xpu/test_fusion 1/1 ... [2025-12-04 09:19:46.597813][1841.250271797], took 0.05min
2025-12-04T09:19:46.6078512Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-3a976ecb1b8c0afb.xml
2025-12-04T09:19:46.6761624Z Running test_matmul_cuda 1/1 ... [2025-12-04 09:19:46.675926][1841.328386635]
2025-12-04T09:19:46.6762084Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:19:46.6765814Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_matmul_cuda.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:46.676299]
2025-12-04T09:19:53.8007179Z 
2025-12-04T09:19:53.8008407Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_014eb64dac541ab9_.log
2025-12-04T09:19:53.8009127Z Running 0 items in this shard:
2025-12-04T09:19:53.8009333Z 
2025-12-04T09:19:53.8009591Z Finished test_matmul_cuda 1/1 ... [2025-12-04 09:19:53.800553][1848.453011177], took 0.12min
2025-12-04T09:19:53.8108866Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_matmul_cuda/test_matmul_cuda-ee414bf26160c70f.xml
2025-12-04T09:19:53.8832363Z Running functorch/test_minifier 1/1 ... [2025-12-04 09:19:53.882959][1848.535419329]
2025-12-04T09:19:53.8832878Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:19:53.8835995Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_minifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:53.883324]
2025-12-04T09:19:57.1023197Z 
2025-12-04T09:19:57.1024174Z functorch/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_minifier_1.1_21fa26aaea86db20_.log
2025-12-04T09:19:57.1024992Z Running 0 items in this shard:
2025-12-04T09:19:57.1025195Z 
2025-12-04T09:19:57.1025493Z Finished functorch/test_minifier 1/1 ... [2025-12-04 09:19:57.102056][1851.754516126], took 0.05min
2025-12-04T09:19:57.1123402Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_minifier/functorch.test_minifier-e2a47a126e835935.xml
2025-12-04T09:19:57.1459658Z Running higher_order_ops/test_invoke_quant 1/1 ... [2025-12-04 09:19:57.145646][1851.798105505]
2025-12-04T09:19:57.1460202Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:19:57.1463398Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_invoke_quant.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:57.146042]
2025-12-04T09:20:04.3212157Z 
2025-12-04T09:20:04.3213152Z higher_order_ops/test_invoke_quant 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_quant_1.1_8299ff3f7114e0b9_.log
2025-12-04T09:20:04.3214104Z Running 0 items in this shard:
2025-12-04T09:20:04.3214345Z 
2025-12-04T09:20:04.3214676Z Finished higher_order_ops/test_invoke_quant 1/1 ... [2025-12-04 09:20:04.320999][1858.97345965], took 0.12min
2025-12-04T09:20:04.3314890Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_quant/higher_order_ops.test_invoke_quant-f6e8a5d569c3dc8b.xml
2025-12-04T09:20:04.4070526Z Running torch_np/test_basic 1/1 ... [2025-12-04 09:20:04.406725][1859.059183951]
2025-12-04T09:20:04.4071050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:20:04.4073919Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_basic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:04.407110]
2025-12-04T09:20:08.5775941Z 
2025-12-04T09:20:08.5776804Z torch_np/test_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_basic_1.1_99f2b5dff95c2c56_.log
2025-12-04T09:20:08.5777620Z Running 0 items in this shard:
2025-12-04T09:20:08.5777809Z 
2025-12-04T09:20:08.5778081Z Finished torch_np/test_basic 1/1 ... [2025-12-04 09:20:08.577391][1863.229849508], took 0.07min
2025-12-04T09:20:08.5879318Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_basic/torch_np.test_basic-57ef4e94d9c219ce.xml
2025-12-04T09:20:08.6183490Z Running test_jiterator 1/1 ... [2025-12-04 09:20:08.618072][1863.270532088]
2025-12-04T09:20:08.6183960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:20:08.6187665Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jiterator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:08.618487]
2025-12-04T09:20:11.8873926Z 
2025-12-04T09:20:11.8874762Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_3c8cab630a985910_.log
2025-12-04T09:20:11.8875675Z Running 0 items in this shard:
2025-12-04T09:20:11.8875867Z 
2025-12-04T09:20:11.8876119Z Finished test_jiterator 1/1 ... [2025-12-04 09:20:11.887207][1866.539667321], took 0.05min
2025-12-04T09:20:11.8977178Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jiterator/test_jiterator-b3e0ef6e201f8045.xml
2025-12-04T09:20:11.9296248Z Running test_native_functions 1/1 ... [2025-12-04 09:20:11.929434][1866.581895767]
2025-12-04T09:20:11.9296733Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:20:11.9300313Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_native_functions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:11.929792]
2025-12-04T09:20:14.8983053Z 
2025-12-04T09:20:14.8984138Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_7e8efa74df0293e3_.log
2025-12-04T09:20:14.8984925Z Running 0 items in this shard:
2025-12-04T09:20:14.8985132Z 
2025-12-04T09:20:14.8985415Z Finished test_native_functions 1/1 ... [2025-12-04 09:20:14.898111][1869.550571866], took 0.05min
2025-12-04T09:20:14.9089839Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_functions/test_native_functions-2815d1c5098a6c84.xml
2025-12-04T09:20:14.9387531Z Running test_typing 1/1 ... [2025-12-04 09:20:14.938527][1869.590987912]
2025-12-04T09:20:14.9387973Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:20:14.9391042Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_typing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:14.938848]
2025-12-04T09:20:17.9573445Z 
2025-12-04T09:20:17.9574297Z test_typing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_typing_1.1_65ec1f7d12ddae4b_.log
2025-12-04T09:20:17.9575743Z Running 0 items in this shard:
2025-12-04T09:20:17.9576100Z 
2025-12-04T09:20:17.9576585Z Finished test_typing 1/1 ... [2025-12-04 09:20:17.957172][1872.609633449], took 0.05min
2025-12-04T09:20:17.9682284Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_typing/test_typing-008392ae4cd9c8e6.xml
2025-12-04T09:20:17.9937068Z Running higher_order_ops/test_with_effects 1/1 ... [2025-12-04 09:20:17.993401][1872.645861834]
2025-12-04T09:20:17.9937937Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:20:17.9941599Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_with_effects.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:17.993812]
2025-12-04T09:20:21.8135715Z 
2025-12-04T09:20:21.8137005Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_1dbcbd5e10915eaf_.log
2025-12-04T09:20:21.8137892Z Running 0 items in this shard:
2025-12-04T09:20:21.8138098Z 
2025-12-04T09:20:21.8138429Z Finished higher_order_ops/test_with_effects 1/1 ... [2025-12-04 09:20:21.813383][1876.465842976], took 0.06min
2025-12-04T09:20:21.8249255Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_with_effects/higher_order_ops.test_with_effects-2d1bb9d5015482b8.xml
2025-12-04T09:20:21.8514353Z Running higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 09:20:21.851229][1876.503690126]
2025-12-04T09:20:21.8514905Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:20:21.8518443Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_invoke_subgraph.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:21.851586]
2025-12-04T09:20:28.9760312Z 
2025-12-04T09:20:28.9761350Z higher_order_ops/test_invoke_subgraph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_4e4bcd964a66f148_.log
2025-12-04T09:20:28.9762259Z Running 0 items in this shard:
2025-12-04T09:20:28.9762464Z 
2025-12-04T09:20:28.9762811Z Finished higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 09:20:28.975714][1883.62817451], took 0.12min
2025-12-04T09:20:28.9869190Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-b0c53182143031c1.xml
2025-12-04T09:20:29.0569547Z Running test_weak 1/1 ... [2025-12-04 09:20:29.056639][1883.709099305]
2025-12-04T09:20:29.0570006Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:20:29.0573732Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_weak.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:29.057039]
2025-12-04T09:20:32.0257405Z 
2025-12-04T09:20:32.0258200Z test_weak 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_weak_1.1_32590986c3ebd35b_.log
2025-12-04T09:20:32.0258860Z Running 0 items in this shard:
2025-12-04T09:20:32.0259063Z 
2025-12-04T09:20:32.0259292Z Finished test_weak 1/1 ... [2025-12-04 09:20:32.025526][1886.677987637], took 0.05min
2025-12-04T09:20:32.0367518Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_weak/test_weak-aaa0db2ed520ad08.xml
2025-12-04T09:20:32.0824663Z Running test_decomp 1/6 ... [2025-12-04 09:20:32.082211][1886.734671682]
2025-12-04T09:20:32.0825109Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:20:32.0828265Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=1', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:32.082579]
2025-12-04T09:20:52.6245474Z 
2025-12-04T09:20:52.6246702Z test_decomp 1/6 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_1.6_a67fc1b996bc4cb9_.log
2025-12-04T09:20:52.6247861Z Running 0 items in this shard:
2025-12-04T09:20:52.6248183Z 
2025-12-04T09:20:52.6360506Z Finished test_decomp 1/6 ... [2025-12-04 09:20:52.624345][1907.276803264], took 0.34min
2025-12-04T09:20:52.6361483Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-ed17f507bcbdbe78.xml
2025-12-04T09:20:52.7115660Z Running test_decomp 3/6 ... [2025-12-04 09:20:52.711301][1907.363762339]
2025-12-04T09:20:52.7116108Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:20:52.7119079Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=3', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:52.711646]
2025-12-04T09:21:13.3548494Z 
2025-12-04T09:21:13.3549286Z test_decomp 3/6 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_3.6_7548f703da45899f_.log
2025-12-04T09:21:13.3550040Z Running 0 items in this shard:
2025-12-04T09:21:13.3550284Z 
2025-12-04T09:21:13.3550580Z Finished test_decomp 3/6 ... [2025-12-04 09:21:13.354613][1928.007073851], took 0.34min
2025-12-04T09:21:13.3661379Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-92faa9902aa535a5.xml
2025-12-04T09:21:13.4377463Z Running test_decomp 5/6 ... [2025-12-04 09:21:13.437459][1928.089919681]
2025-12-04T09:21:13.4378003Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:21:13.4380979Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=5', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:13.437837]
2025-12-04T09:21:33.9299900Z 
2025-12-04T09:21:33.9300887Z test_decomp 5/6 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_5.6_a54f9a6f07fe76d5_.log
2025-12-04T09:21:33.9301962Z Running 0 items in this shard:
2025-12-04T09:21:33.9302164Z 
2025-12-04T09:21:33.9302415Z Finished test_decomp 5/6 ... [2025-12-04 09:21:33.929816][1948.582276975], took 0.34min
2025-12-04T09:21:33.9413823Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-969bd89bba887393.xml
2025-12-04T09:21:34.0159310Z Running test_complex 1/1 ... [2025-12-04 09:21:34.015613][1948.668073547]
2025-12-04T09:21:34.0159777Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:21:34.0162400Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_complex.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:34.015992]
2025-12-04T09:21:37.2850734Z 
2025-12-04T09:21:37.2851968Z test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_complex_1.1_28610996f49a50c0_.log
2025-12-04T09:21:37.2853316Z Running 0 items in this shard:
2025-12-04T09:21:37.2853661Z 
2025-12-04T09:21:37.2854113Z Finished test_complex 1/1 ... [2025-12-04 09:21:37.284836][1951.937296734], took 0.05min
2025-12-04T09:21:37.2968831Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_complex/test_complex-c94f740e56f58b0a.xml
2025-12-04T09:21:37.3224671Z Running test_optim 1/1 ... [2025-12-04 09:21:37.322173][1951.974634048]
2025-12-04T09:21:37.3225395Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:21:37.3229815Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_optim.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:37.322613]
2025-12-04T09:21:43.5457485Z 
2025-12-04T09:21:43.5458682Z test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_optim_1.1_2bb54262e6128dde_.log
2025-12-04T09:21:43.5460089Z Running 0 items in this shard:
2025-12-04T09:21:43.5460436Z 
2025-12-04T09:21:43.5460856Z Finished test_optim 1/1 ... [2025-12-04 09:21:43.545546][1958.198004285], took 0.10min
2025-12-04T09:21:43.5578018Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_optim/test_optim-e19ee1490a8e4ed8.xml
2025-12-04T09:21:43.6357351Z Running lazy/test_functionalization 1/1 ... [2025-12-04 09:21:43.635379][1958.287838648]
2025-12-04T09:21:43.6358198Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:21:43.6361908Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_functionalization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:43.635819]
2025-12-04T09:21:46.6045966Z 
2025-12-04T09:21:46.6047056Z lazy/test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_functionalization_1.1_30874bc5cf3d87f7_.log
2025-12-04T09:21:46.6047918Z Running 0 items in this shard:
2025-12-04T09:21:46.6048109Z 
2025-12-04T09:21:46.6048477Z Finished lazy/test_functionalization 1/1 ... [2025-12-04 09:21:46.604417][1961.256877845], took 0.05min
2025-12-04T09:21:46.6163768Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_functionalization/lazy.test_functionalization-ae489ecc331dd99d.xml
2025-12-04T09:21:46.6447754Z Running torch_np/test_random 1/1 ... [2025-12-04 09:21:46.644588][1961.297049595]
2025-12-04T09:21:46.6448217Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:21:46.6451378Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_random.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:46.644906]
2025-12-04T09:21:49.6135149Z 
2025-12-04T09:21:49.6136008Z torch_np/test_random 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_random_1.1_80540908ed0dd4cf_.log
2025-12-04T09:21:49.6137044Z Running 0 items in this shard:
2025-12-04T09:21:49.6137233Z 
2025-12-04T09:21:49.6137507Z Finished torch_np/test_random 1/1 ... [2025-12-04 09:21:49.613322][1964.265783119], took 0.05min
2025-12-04T09:21:49.6254200Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_random/torch_np.test_random-1021abfe0522ac02.xml
2025-12-04T09:21:49.6525723Z Running nn/test_multihead_attention 1/1 ... [2025-12-04 09:21:49.652370][1964.304832266]
2025-12-04T09:21:49.6526239Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:21:49.6529408Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_multihead_attention.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:49.652715]
2025-12-04T09:21:52.9216963Z 
2025-12-04T09:21:52.9218245Z nn/test_multihead_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_multihead_attention_1.1_e62e01f4787eac94_.log
2025-12-04T09:21:52.9219071Z Running 0 items in this shard:
2025-12-04T09:21:52.9219276Z 
2025-12-04T09:21:52.9219694Z Finished nn/test_multihead_attention 1/1 ... [2025-12-04 09:21:52.921533][1967.573993615], took 0.05min
2025-12-04T09:21:52.9342094Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_multihead_attention/nn.test_multihead_attention-de652077bde4e6be.xml
2025-12-04T09:21:52.9628142Z Running test_legacy_vmap 1/1 ... [2025-12-04 09:21:52.962609][1967.615070054]
2025-12-04T09:21:52.9628816Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:21:52.9632141Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_legacy_vmap.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:52.962935]
2025-12-04T09:21:56.4323095Z 
2025-12-04T09:21:56.4323939Z test_legacy_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_legacy_vmap_1.1_e1dc00c026e881dc_.log
2025-12-04T09:21:56.4324677Z Running 0 items in this shard:
2025-12-04T09:21:56.4324863Z 
2025-12-04T09:21:56.4325132Z Finished test_legacy_vmap 1/1 ... [2025-12-04 09:21:56.432132][1971.08459301], took 0.06min
2025-12-04T09:21:56.4444643Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_legacy_vmap/test_legacy_vmap-523c9dce82e415ae.xml
2025-12-04T09:21:56.4734091Z Running lazy/test_bindings 1/1 ... [2025-12-04 09:21:56.473217][1971.125677924]
2025-12-04T09:21:56.4734638Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:21:56.4738066Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_bindings.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:56.473545]
2025-12-04T09:21:59.3921036Z 
2025-12-04T09:21:59.3922036Z lazy/test_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_bindings_1.1_edea5ac06546b002_.log
2025-12-04T09:21:59.3922802Z Running 0 items in this shard:
2025-12-04T09:21:59.3922992Z 
2025-12-04T09:21:59.3923260Z Finished lazy/test_bindings 1/1 ... [2025-12-04 09:21:59.391895][1974.04435296], took 0.05min
2025-12-04T09:21:59.4045336Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_bindings/lazy.test_bindings-1d86315fcf3ba219.xml
2025-12-04T09:21:59.4343252Z Running test_pytree 1/1 ... [2025-12-04 09:21:59.434118][1974.086578476]
2025-12-04T09:21:59.4343688Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:21:59.4347304Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_pytree.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:59.434460]
2025-12-04T09:22:02.7535996Z 
2025-12-04T09:22:02.7536907Z test_pytree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pytree_1.1_8096fccae1328ffc_.log
2025-12-04T09:22:02.7537607Z Running 0 items in this shard:
2025-12-04T09:22:02.7537797Z 
2025-12-04T09:22:02.7538047Z Finished test_pytree 1/1 ... [2025-12-04 09:22:02.753421][1977.405882411], took 0.06min
2025-12-04T09:22:02.7659663Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_pytree/test_pytree-f610b40eb075f56a.xml
2025-12-04T09:22:02.7935173Z Running profiler/test_record_function 1/1 ... [2025-12-04 09:22:02.793264][1977.445724419]
2025-12-04T09:22:02.7935787Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:22:02.7939677Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_record_function.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:02.793637]
2025-12-04T09:22:05.8125103Z 
2025-12-04T09:22:05.8126068Z profiler/test_record_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_record_function_1.1_7aaa8aba208f3189_.log
2025-12-04T09:22:05.8127065Z Running 0 items in this shard:
2025-12-04T09:22:05.8127255Z 
2025-12-04T09:22:05.8127592Z Finished profiler/test_record_function 1/1 ... [2025-12-04 09:22:05.812327][1980.464787903], took 0.05min
2025-12-04T09:22:05.8249993Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_record_function/profiler.test_record_function-d854d07af7e13da4.xml
2025-12-04T09:22:05.8539261Z Running test_compile_benchmark_util 1/1 ... [2025-12-04 09:22:05.853680][1980.506141731]
2025-12-04T09:22:05.8539847Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:22:05.8543057Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_compile_benchmark_util.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:05.854043]
2025-12-04T09:22:09.1732260Z 
2025-12-04T09:22:09.1733539Z test_compile_benchmark_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_compile_benchmark_util_1.1_a7c1163bb429aeb6_.log
2025-12-04T09:22:09.1734387Z Running 0 items in this shard:
2025-12-04T09:22:09.1734574Z 
2025-12-04T09:22:09.1734882Z Finished test_compile_benchmark_util 1/1 ... [2025-12-04 09:22:09.173036][1983.825494979], took 0.06min
2025-12-04T09:22:09.1860776Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_compile_benchmark_util/test_compile_benchmark_util-3b85c85d51a681c4.xml
2025-12-04T09:22:09.2177748Z Running test_set_default_mobile_cpu_allocator 1/1 ... [2025-12-04 09:22:09.217509][1983.869970365]
2025-12-04T09:22:09.2178357Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:22:09.2182050Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:09.217888]
2025-12-04T09:22:12.1363787Z 
2025-12-04T09:22:12.1365117Z test_set_default_mobile_cpu_allocator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_set_default_mobile_cpu_allocator_1.1_117538dc2b7d9468_.log
2025-12-04T09:22:12.1366298Z Running 0 items in this shard:
2025-12-04T09:22:12.1366488Z 
2025-12-04T09:22:12.1366826Z Finished test_set_default_mobile_cpu_allocator 1/1 ... [2025-12-04 09:22:12.136181][1986.788642589], took 0.05min
2025-12-04T09:22:12.1491630Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_set_default_mobile_cpu_allocator/test_set_default_mobile_cpu_allocator-01742c30f8f62aac.xml
2025-12-04T09:22:12.1826930Z Running test_stateless 1/1 ... [2025-12-04 09:22:12.182396][1986.834855311]
2025-12-04T09:22:12.1827472Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:22:12.1830763Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_stateless.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:12.182781]
2025-12-04T09:22:15.5019065Z 
2025-12-04T09:22:15.5020244Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_ee8f76a19e3029db_.log
2025-12-04T09:22:15.5020983Z Running 0 items in this shard:
2025-12-04T09:22:15.5021173Z 
2025-12-04T09:22:15.5021428Z Finished test_stateless 1/1 ... [2025-12-04 09:22:15.501702][1990.154160571], took 0.06min
2025-12-04T09:22:15.5148118Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_stateless/test_stateless-35d35541191d8bf2.xml
2025-12-04T09:22:15.5457554Z Running functorch/test_ac 1/1 ... [2025-12-04 09:22:15.545522][1990.197983552]
2025-12-04T09:22:15.5458058Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:22:15.5461296Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:15.545862]
2025-12-04T09:22:22.3700035Z 
2025-12-04T09:22:22.3700936Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_b34645e2c5a1ed6a_.log
2025-12-04T09:22:22.3701579Z 
2025-12-04T09:22:22.3701861Z Finished functorch/test_ac 1/1 ... [2025-12-04 09:22:22.369762][1997.022223237], took 0.11min
2025-12-04T09:22:22.3838569Z Running test_binary_ufuncs 1/1 ... [2025-12-04 09:22:22.383631][1997.036092063]
2025-12-04T09:22:22.3839033Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:22:22.3842656Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_binary_ufuncs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:22.384012]
2025-12-04T09:22:50.5866062Z 
2025-12-04T09:22:50.5867038Z test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_binary_ufuncs_1.1_e6952d9cb7b08491_.log
2025-12-04T09:22:50.5868937Z Running 0 items in this shard:
2025-12-04T09:22:50.5869291Z 
2025-12-04T09:22:50.5869806Z Finished test_binary_ufuncs 1/1 ... [2025-12-04 09:22:50.586412][2025.238873388], took 0.47min
2025-12-04T09:22:50.6002644Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_binary_ufuncs/test_binary_ufuncs-15ebfb4d4f3590d0.xml
2025-12-04T09:22:50.6757667Z Running higher_order_ops/test_print 1/1 ... [2025-12-04 09:22:50.675434][2025.327893182]
2025-12-04T09:22:50.6758430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:22:50.6761227Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_print.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:50.675820]
2025-12-04T09:22:53.8945787Z 
2025-12-04T09:22:53.8947375Z higher_order_ops/test_print 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_print_1.1_411e83cacfc0ad52_.log
2025-12-04T09:22:53.8948230Z Running 0 items in this shard:
2025-12-04T09:22:53.8948417Z 
2025-12-04T09:22:53.8948740Z Finished higher_order_ops/test_print 1/1 ... [2025-12-04 09:22:53.894428][2028.546887628], took 0.05min
2025-12-04T09:22:53.9084149Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_print/higher_order_ops.test_print-de07672991ed5acc.xml
2025-12-04T09:22:53.9349137Z Running test_per_overload_api 1/1 ... [2025-12-04 09:22:53.934688][2028.587149178]
2025-12-04T09:22:53.9349646Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:22:53.9352876Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_per_overload_api.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:53.935055]
2025-12-04T09:22:56.9037331Z 
2025-12-04T09:22:56.9038233Z test_per_overload_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_per_overload_api_1.1_ec18df358b23059d_.log
2025-12-04T09:22:56.9039021Z Running 0 items in this shard:
2025-12-04T09:22:56.9039211Z 
2025-12-04T09:22:56.9039492Z Finished test_per_overload_api 1/1 ... [2025-12-04 09:22:56.903547][2031.556007], took 0.05min
2025-12-04T09:22:56.9170952Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_per_overload_api/test_per_overload_api-2e15e651cc92a724.xml
2025-12-04T09:22:56.9434385Z Running torch_np/numpy_tests/core/test_einsum 1/1 ... [2025-12-04 09:22:56.943178][2031.595639006]
2025-12-04T09:22:56.9434936Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:22:56.9438513Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_einsum.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:56.943578]
2025-12-04T09:22:59.9621542Z 
2025-12-04T09:22:59.9623131Z torch_np/numpy_tests/core/test_einsum 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_einsum_1.1_c1792deb055926a0_.log
2025-12-04T09:22:59.9624896Z Running 0 items in this shard:
2025-12-04T09:22:59.9625236Z 
2025-12-04T09:22:59.9625904Z Finished torch_np/numpy_tests/core/test_einsum 1/1 ... [2025-12-04 09:22:59.961952][2034.614411619], took 0.05min
2025-12-04T09:22:59.9760683Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_einsum/torch_np.numpy_tests.core.test_einsum-615f52006f7601b3.xml
2025-12-04T09:23:00.0025596Z Running test_out_dtype_op 1/1 ... [2025-12-04 09:23:00.002266][2034.654725781]
2025-12-04T09:23:00.0026139Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:23:00.0029128Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_out_dtype_op.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:00.002656]
2025-12-04T09:23:03.6723605Z 
2025-12-04T09:23:03.6724846Z test_out_dtype_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_out_dtype_op_1.1_919144c7ed0e7fad_.log
2025-12-04T09:23:03.6725583Z Running 0 items in this shard:
2025-12-04T09:23:03.6725774Z 
2025-12-04T09:23:03.6726031Z Finished test_out_dtype_op 1/1 ... [2025-12-04 09:23:03.672204][2038.324663121], took 0.06min
2025-12-04T09:23:03.6859937Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_out_dtype_op/test_out_dtype_op-9a508a3a784b6e85.xml
2025-12-04T09:23:03.7100862Z Running torch_np/test_ufuncs_basic 1/1 ... [2025-12-04 09:23:03.709773][2038.362233057]
2025-12-04T09:23:03.7101443Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:23:03.7104382Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_ufuncs_basic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:03.710157]
2025-12-04T09:23:07.4300892Z 
2025-12-04T09:23:07.4302129Z torch_np/test_ufuncs_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ufuncs_basic_1.1_6096c8b24f6a7513_.log
2025-12-04T09:23:07.4302958Z Running 0 items in this shard:
2025-12-04T09:23:07.4303147Z 
2025-12-04T09:23:07.4303471Z Finished torch_np/test_ufuncs_basic 1/1 ... [2025-12-04 09:23:07.429893][2042.08235508], took 0.06min
2025-12-04T09:23:07.4442691Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_ufuncs_basic/torch_np.test_ufuncs_basic-f350179b39ee6fdf.xml
2025-12-04T09:23:07.4743080Z Running lazy/test_step_closures 1/1 ... [2025-12-04 09:23:07.474018][2042.126476744]
2025-12-04T09:23:07.4743785Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:23:07.4747615Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_step_closures.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:07.474424]
2025-12-04T09:23:10.5432538Z 
2025-12-04T09:23:10.5433852Z lazy/test_step_closures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_step_closures_1.1_2a85b635102f88bb_.log
2025-12-04T09:23:10.5434670Z Running 0 items in this shard:
2025-12-04T09:23:10.5434861Z 
2025-12-04T09:23:10.5435169Z Finished lazy/test_step_closures 1/1 ... [2025-12-04 09:23:10.543086][2045.195545638], took 0.05min
2025-12-04T09:23:10.5572674Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_step_closures/lazy.test_step_closures-9628a54b6a5cd823.xml
2025-12-04T09:23:10.5836856Z Running functorch/dim/test_getsetitem 1/1 ... [2025-12-04 09:23:10.583402][2045.235862733]
2025-12-04T09:23:10.5837431Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:23:10.5840941Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/dim/test_getsetitem.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:10.583752]
2025-12-04T09:23:13.7027289Z 
2025-12-04T09:23:13.7028869Z functorch/dim/test_getsetitem 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.dim.test_getsetitem_1.1_7ad4d2096b9bff03_.log
2025-12-04T09:23:13.7030528Z Running 0 items in this shard:
2025-12-04T09:23:13.7030860Z 
2025-12-04T09:23:13.7031508Z Finished functorch/dim/test_getsetitem 1/1 ... [2025-12-04 09:23:13.702503][2048.354963631], took 0.05min
2025-12-04T09:23:13.7170757Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.dim.test_getsetitem/functorch.dim.test_getsetitem-5da42a3b94177992.xml
2025-12-04T09:23:13.7457201Z Running test_ops_fwd_gradients 1/1 ... [2025-12-04 09:23:13.745383][2048.397843409]
2025-12-04T09:23:13.7458030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:23:13.7461812Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:13.745793]
2025-12-04T09:23:24.2252735Z 
2025-12-04T09:23:24.2254206Z test_ops_fwd_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_1.1_c2ec0dcba0be7c55_.log
2025-12-04T09:23:24.2255696Z Running 0 items in this shard:
2025-12-04T09:23:24.2256045Z 
2025-12-04T09:23:24.2256578Z Finished test_ops_fwd_gradients 1/1 ... [2025-12-04 09:23:24.225060][2058.877518935], took 0.17min
2025-12-04T09:23:24.2399849Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-c595808aaea14c31.xml
2025-12-04T09:23:24.6170036Z Uploading artifacts took 0.30 seconds
2025-12-04T09:23:24.6173774Z Running test_meta 1/1 ... [2025-12-04 09:23:24.617194][2059.269654024]
2025-12-04T09:23:24.6174210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:23:24.6179257Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_meta.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:24.617668]
2025-12-04T09:24:45.8413764Z 
2025-12-04T09:24:45.8414850Z test_meta 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_1.1_6ffc21d35114bed7_.log
2025-12-04T09:24:45.8415533Z Running 0 items in this shard:
2025-12-04T09:24:45.8415753Z 
2025-12-04T09:24:45.8415989Z Finished test_meta 1/1 ... [2025-12-04 09:24:45.841162][2140.493620767], took 1.35min
2025-12-04T09:24:45.8559012Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_meta/test_meta-fcb453a3bae74e2c.xml
2025-12-04T09:24:45.9260915Z Running test_ops_jit 1/1 ... [2025-12-04 09:24:45.925829][2140.578290096]
2025-12-04T09:24:45.9261484Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:24:45.9265047Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_jit.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:45.926200]
2025-12-04T09:24:52.2994074Z 
2025-12-04T09:24:52.2995275Z test_ops_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.1_cb40bca32d461473_.log
2025-12-04T09:24:52.2995982Z Running 0 items in this shard:
2025-12-04T09:24:52.2996190Z 
2025-12-04T09:24:52.2996423Z Finished test_ops_jit 1/1 ... [2025-12-04 09:24:52.299219][2146.951679605], took 0.11min
2025-12-04T09:24:52.3140539Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-21143fd41d2922b8.xml
2025-12-04T09:24:52.4031942Z Running test_numpy_interop 1/1 ... [2025-12-04 09:24:52.402855][2147.055314548]
2025-12-04T09:24:52.4032538Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:24:52.4035372Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:52.403238]
2025-12-04T09:24:55.7222563Z 
2025-12-04T09:24:55.7223894Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_f467115f83d49131_.log
2025-12-04T09:24:55.7225725Z Running 0 items in this shard:
2025-12-04T09:24:55.7226077Z 
2025-12-04T09:24:55.7226590Z Finished test_numpy_interop 1/1 ... [2025-12-04 09:24:55.722045][2150.374503977], took 0.06min
2025-12-04T09:24:55.7373078Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numpy_interop/test_numpy_interop-c50fe82eb0ffb4fd.xml
2025-12-04T09:24:55.7648905Z Running profiler/test_cpp_thread 1/1 ... [2025-12-04 09:24:55.764595][2150.417055833]
2025-12-04T09:24:55.7649721Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:24:55.7653525Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:55.765008]
2025-12-04T09:25:00.5863907Z 
2025-12-04T09:25:00.5864857Z 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_cf580b55103634cd_.log
2025-12-04T09:25:00.5865678Z Running 0 items in this shard:
2025-12-04T09:25:00.5865885Z 
2025-12-04T09:25:00.5866222Z Finished profiler/test_cpp_thread 1/1 ... [2025-12-04 09:25:00.586160][2155.238620252], took 0.08min
2025-12-04T09:25:00.6017184Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_cpp_thread/profiler.test_cpp_thread-ffe1bae6188e28d5.xml
2025-12-04T09:25:00.6296284Z Running test_ops_gradients 1/1 ... [2025-12-04 09:25:00.629400][2155.28186028]
2025-12-04T09:25:00.6296736Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:25:00.6300543Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:00.629787]
2025-12-04T09:25:15.0143052Z 
2025-12-04T09:25:15.0143918Z test_ops_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.1_a4a41b81c4d4369f_.log
2025-12-04T09:25:15.0144679Z Running 0 items in this shard:
2025-12-04T09:25:15.0144895Z 
2025-12-04T09:25:15.0145162Z Finished test_ops_gradients 1/1 ... [2025-12-04 09:25:15.014133][2169.666591206], took 0.24min
2025-12-04T09:25:15.0292303Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-3611b128ef492dcf.xml
2025-12-04T09:25:15.0894392Z Running test_hub 1/1 ... [2025-12-04 09:25:15.089197][2169.741657019]
2025-12-04T09:25:15.0894808Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:25:15.0898299Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_hub.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:15.089574]
2025-12-04T09:25:18.0584533Z 
2025-12-04T09:25:18.0585323Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_f731ca406cc0def1_.log
2025-12-04T09:25:18.0586001Z Running 0 items in this shard:
2025-12-04T09:25:18.0586186Z 
2025-12-04T09:25:18.0586422Z Finished test_hub 1/1 ... [2025-12-04 09:25:18.058161][2172.71061829], took 0.05min
2025-12-04T09:25:18.0733346Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_hub/test_hub-76cf98a12cb8d328.xml
2025-12-04T09:25:18.0935658Z Running test_segment_reductions 1/1 ... [2025-12-04 09:25:18.093341][2172.74580196]
2025-12-04T09:25:18.0936148Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:25:18.0939368Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_segment_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:18.093694]
2025-12-04T09:25:21.4628778Z 
2025-12-04T09:25:21.4629963Z test_segment_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_segment_reductions_1.1_fd150b0767f4659b_.log
2025-12-04T09:25:21.4630782Z Running 0 items in this shard:
2025-12-04T09:25:21.4630970Z 
2025-12-04T09:25:21.4631273Z Finished test_segment_reductions 1/1 ... [2025-12-04 09:25:21.462691][2176.115149043], took 0.06min
2025-12-04T09:25:21.4782829Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_segment_reductions/test_segment_reductions-c218c8133a0d73e8.xml
2025-12-04T09:25:21.5048118Z Running test_type_hints 1/1 ... [2025-12-04 09:25:21.504587][2176.157047517]
2025-12-04T09:25:21.5048607Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:25:21.5051870Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_hints.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:21.504934]
2025-12-04T09:25:24.4234063Z 
2025-12-04T09:25:24.4235169Z test_type_hints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_hints_1.1_ef4d47e36ad025ad_.log
2025-12-04T09:25:24.4235915Z Running 0 items in this shard:
2025-12-04T09:25:24.4236172Z 
2025-12-04T09:25:24.4236427Z Finished test_type_hints 1/1 ... [2025-12-04 09:25:24.423258][2179.075717114], took 0.05min
2025-12-04T09:25:24.4390034Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_hints/test_type_hints-b32cb32eb5ece8d6.xml
2025-12-04T09:25:24.4623956Z Running functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 09:25:24.462138][2179.114599329]
2025-12-04T09:25:24.4624909Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:25:24.4629310Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aot_joint_with_descriptors.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:24.462559]
2025-12-04T09:25:27.7317690Z 
2025-12-04T09:25:27.7319418Z 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_1acd1718427cc3a6_.log
2025-12-04T09:25:27.7321224Z Running 0 items in this shard:
2025-12-04T09:25:27.7321583Z 
2025-12-04T09:25:27.7322306Z Finished functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 09:25:27.731509][2182.383968615], took 0.05min
2025-12-04T09:25:27.7474309Z 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-a9e439306595e449.xml
2025-12-04T09:25:27.7741900Z Running test_nestedtensor 1/1 ... [2025-12-04 09:25:27.773912][2182.426373736]
2025-12-04T09:25:27.7742718Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:25:27.7747263Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:27.774345]
2025-12-04T09:25:35.4995988Z 
2025-12-04T09:25:35.4996816Z test_nestedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.1_1b553c39db6ea69e_.log
2025-12-04T09:25:35.4997873Z Running 0 items in this shard:
2025-12-04T09:25:35.4998075Z 
2025-12-04T09:25:35.4998346Z Finished test_nestedtensor 1/1 ... [2025-12-04 09:25:35.499428][2190.151885546], took 0.13min
2025-12-04T09:25:35.5151302Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-5c76283cbf592ee8.xml
2025-12-04T09:25:35.5972285Z Running distributions/test_constraints 1/1 ... [2025-12-04 09:25:35.596910][2190.249369919]
2025-12-04T09:25:35.5972821Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:25:35.5976320Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:35.597343]
2025-12-04T09:25:39.2670160Z 
2025-12-04T09:25:39.2671806Z distributions/test_constraints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_constraints_1.1_16642bf5efdc02c2_.log
2025-12-04T09:25:39.2673518Z Running 0 items in this shard:
2025-12-04T09:25:39.2673861Z 
2025-12-04T09:25:39.2674509Z Finished distributions/test_constraints 1/1 ... [2025-12-04 09:25:39.266777][2193.919236941], took 0.06min
2025-12-04T09:25:39.2828460Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_constraints/distributions.test_constraints-70ee99486dce265b.xml
2025-12-04T09:25:39.3122790Z Running test_linalg 1/1 ... [2025-12-04 09:25:39.312015][2193.964476175]
2025-12-04T09:25:39.3123554Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:25:39.3128107Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_linalg.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:39.312457]
2025-12-04T09:25:45.4355381Z 
2025-12-04T09:25:45.4356206Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_b781d1997aecf439_.log
2025-12-04T09:25:45.4356905Z Running 0 items in this shard:
2025-12-04T09:25:45.4357094Z 
2025-12-04T09:25:45.4357366Z Finished test_linalg 1/1 ... [2025-12-04 09:25:45.435329][2200.0877894], took 0.10min
2025-12-04T09:25:45.4515414Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_linalg/test_linalg-ced56a8165824f04.xml
2025-12-04T09:25:45.5250178Z Running test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:25:45.524715][2200.177175159]
2025-12-04T09:25:45.5250713Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:25:45.5254061Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functionalization_of_rng_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:45.525134]
2025-12-04T09:25:48.9466546Z 
2025-12-04T09:25:48.9467649Z 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_0427573d0cb9a4e4_.log
2025-12-04T09:25:48.9468541Z Running 0 items in this shard:
2025-12-04T09:25:48.9468727Z 
2025-12-04T09:25:48.9469060Z Finished test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:25:48.946474][2203.598929999], took 0.06min
2025-12-04T09:25:48.9627472Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization_of_rng_ops/test_functionalization_of_rng_ops-35068c2caab278fa.xml
2025-12-04T09:25:48.9895658Z Running test_fx_reinplace_pass 1/1 ... [2025-12-04 09:25:48.989325][2203.641786283]
2025-12-04T09:25:48.9896167Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:25:48.9899256Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_reinplace_pass.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:48.989678]
2025-12-04T09:25:51.9088415Z 
2025-12-04T09:25:51.9089336Z 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_8120d7ba338d68d4_.log
2025-12-04T09:25:51.9090129Z Running 0 items in this shard:
2025-12-04T09:25:51.9090328Z 
2025-12-04T09:25:51.9090609Z Finished test_fx_reinplace_pass 1/1 ... [2025-12-04 09:25:51.908643][2206.561102006], took 0.05min
2025-12-04T09:25:51.9248749Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_reinplace_pass/test_fx_reinplace_pass-8713c348db5639ad.xml
2025-12-04T09:25:51.9536023Z Running functorch/test_control_flow 1/1 ... [2025-12-04 09:25:51.953401][2206.605862486]
2025-12-04T09:25:51.9536548Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:25:51.9539795Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_control_flow.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:51.953732]
2025-12-04T09:25:59.5785455Z 
2025-12-04T09:25:59.5787094Z 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_35661e39ce9d74e6_.log
2025-12-04T09:25:59.5788694Z Running 0 items in this shard:
2025-12-04T09:25:59.5789050Z 
2025-12-04T09:25:59.5789614Z Finished functorch/test_control_flow 1/1 ... [2025-12-04 09:25:59.578334][2214.230794261], took 0.13min
2025-12-04T09:25:59.5950200Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_control_flow/functorch.test_control_flow-6c09202e43428c3b.xml
2025-12-04T09:25:59.6972813Z Running test_modules 1/1 ... [2025-12-04 09:25:59.696968][2214.349428044]
2025-12-04T09:25:59.6973545Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:25:59.6977592Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:59.697384]
2025-12-04T09:26:11.0279361Z 
2025-12-04T09:26:11.0280308Z test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_1.1_6a83fc8328b878f6_.log
2025-12-04T09:26:11.0281025Z Running 0 items in this shard:
2025-12-04T09:26:11.0281215Z 
2025-12-04T09:26:11.0281472Z Finished test_modules 1/1 ... [2025-12-04 09:26:11.027642][2225.680101218], took 0.19min
2025-12-04T09:26:11.0447614Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_modules/test_modules-a4f857514e82d93f.xml
2025-12-04T09:26:11.1163298Z Running nn/test_packed_sequence 1/1 ... [2025-12-04 09:26:11.116034][2225.768495556]
2025-12-04T09:26:11.1164112Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:11.1168441Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:11.116462]
2025-12-04T09:26:14.0851491Z 
2025-12-04T09:26:14.0852513Z 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_8e77a650f2cfa95a_.log
2025-12-04T09:26:14.0853630Z Running 0 items in this shard:
2025-12-04T09:26:14.0853830Z 
2025-12-04T09:26:14.0854126Z Finished nn/test_packed_sequence 1/1 ... [2025-12-04 09:26:14.084947][2228.737406125], took 0.05min
2025-12-04T09:26:14.1015432Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_packed_sequence/nn.test_packed_sequence-00d51b04a76d6867.xml
2025-12-04T09:26:14.1304810Z Running test_numa_binding 1/1 ... [2025-12-04 09:26:14.130206][2228.782665121]
2025-12-04T09:26:14.1305294Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:14.1308929Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:14.130631]
2025-12-04T09:26:17.0990986Z 
2025-12-04T09:26:17.0992117Z test_numa_binding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numa_binding_1.1_139932920da283ba_.log
2025-12-04T09:26:17.0992870Z Running 0 items in this shard:
2025-12-04T09:26:17.0993071Z 
2025-12-04T09:26:17.0993330Z Finished test_numa_binding 1/1 ... [2025-12-04 09:26:17.098947][2231.751403228], took 0.05min
2025-12-04T09:26:17.1157770Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numa_binding/test_numa_binding-fe736f26096f8a21.xml
2025-12-04T09:26:17.1385230Z Running test_pruning_op 1/1 ... [2025-12-04 09:26:17.138329][2231.79079144]
2025-12-04T09:26:17.1385671Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:17.1389222Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:17.138682]
2025-12-04T09:26:20.1071458Z 
2025-12-04T09:26:20.1072386Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_8c1e1364e849474e_.log
2025-12-04T09:26:20.1073099Z Running 0 items in this shard:
2025-12-04T09:26:20.1073304Z 
2025-12-04T09:26:20.1073557Z Finished test_pruning_op 1/1 ... [2025-12-04 09:26:20.106962][2234.759421761], took 0.05min
2025-12-04T09:26:20.1238637Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_pruning_op/test_pruning_op-62698d385365b250.xml
2025-12-04T09:26:20.1506208Z Running test_logging 1/1 ... [2025-12-04 09:26:20.150425][2234.802886092]
2025-12-04T09:26:20.1506641Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:20.1509957Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:20.150760]
2025-12-04T09:26:23.0189874Z 
2025-12-04T09:26:23.0190685Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_ba8d49b5732da970_.log
2025-12-04T09:26:23.0191409Z Running 0 items in this shard:
2025-12-04T09:26:23.0191599Z 
2025-12-04T09:26:23.0191896Z Finished test_logging 1/1 ... [2025-12-04 09:26:23.018760][2237.671219694], took 0.05min
2025-12-04T09:26:23.0357916Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_logging/test_logging-1b96fe7560fd796a.xml
2025-12-04T09:26:23.0617576Z Running nn/test_lazy_modules 1/1 ... [2025-12-04 09:26:23.061477][2237.713938578]
2025-12-04T09:26:23.0618062Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:23.0620834Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:23.061837]
2025-12-04T09:26:26.3809090Z 
2025-12-04T09:26:26.3810089Z 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_30d4ab36541d748a_.log
2025-12-04T09:26:26.3811556Z Running 0 items in this shard:
2025-12-04T09:26:26.3811754Z 
2025-12-04T09:26:26.3812052Z Finished nn/test_lazy_modules 1/1 ... [2025-12-04 09:26:26.380705][2241.033166486], took 0.06min
2025-12-04T09:26:26.3978038Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_lazy_modules/nn.test_lazy_modules-7b57b66279029524.xml
2025-12-04T09:26:26.4237068Z Running nn/test_pruning 1/1 ... [2025-12-04 09:26:26.423460][2241.075920949]
2025-12-04T09:26:26.4237542Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:26.4240977Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:26.423829]
2025-12-04T09:26:29.7429603Z 
2025-12-04T09:26:29.7430647Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_f72c2c24db2421e5_.log
2025-12-04T09:26:29.7431378Z Running 0 items in this shard:
2025-12-04T09:26:29.7431586Z 
2025-12-04T09:26:29.7431842Z Finished nn/test_pruning 1/1 ... [2025-12-04 09:26:29.742741][2244.395198351], took 0.06min
2025-12-04T09:26:29.7602351Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pruning/nn.test_pruning-568cd722457ce221.xml
2025-12-04T09:26:29.7836231Z Running test_monitor 1/1 ... [2025-12-04 09:26:29.783364][2244.435823585]
2025-12-04T09:26:29.7836661Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:29.7839920Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:29.783733]
2025-12-04T09:26:32.7523086Z 
2025-12-04T09:26:32.7523939Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_25b6dcced20f0858_.log
2025-12-04T09:26:32.7524647Z Running 0 items in this shard:
2025-12-04T09:26:32.7524834Z 
2025-12-04T09:26:32.7525089Z Finished test_monitor 1/1 ... [2025-12-04 09:26:32.752036][2247.404496753], took 0.05min
2025-12-04T09:26:32.7692749Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_monitor/test_monitor-538304fc2e6ef86f.xml
2025-12-04T09:26:32.7972788Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 09:26:32.797061][2247.449522021]
2025-12-04T09:26:32.7973300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:32.7976847Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:32.797418]
2025-12-04T09:26:35.7659541Z 
2025-12-04T09:26:35.7660505Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_cdc94fcae6137846_.log
2025-12-04T09:26:35.7661395Z Running 0 items in this shard:
2025-12-04T09:26:35.7661606Z 
2025-12-04T09:26:35.7661894Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 09:26:35.765768][2250.418228342], took 0.05min
2025-12-04T09:26:35.7832933Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-4a77204695e83fbf.xml
2025-12-04T09:26:35.8118147Z Running test_bundled_inputs 1/1 ... [2025-12-04 09:26:35.811580][2250.464040484]
2025-12-04T09:26:35.8118634Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:35.8122415Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:35.811971]
2025-12-04T09:26:38.7305922Z 
2025-12-04T09:26:38.7307248Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_c9b34631c32353ec_.log
2025-12-04T09:26:38.7308668Z Running 0 items in this shard:
2025-12-04T09:26:38.7309027Z 
2025-12-04T09:26:38.7309530Z Finished test_bundled_inputs 1/1 ... [2025-12-04 09:26:38.730409][2253.382866683], took 0.05min
2025-12-04T09:26:38.7482341Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_bundled_inputs/test_bundled_inputs-0871547b9e6f51c8.xml
2025-12-04T09:26:38.7725531Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 09:26:38.772218][2253.424678795]
2025-12-04T09:26:38.7726473Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:38.7729178Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:38.772583]
2025-12-04T09:26:42.2920569Z 
2025-12-04T09:26:42.2922310Z 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_761719ccbc198359_.log
2025-12-04T09:26:42.2924073Z Running 0 items in this shard:
2025-12-04T09:26:42.2924410Z 
2025-12-04T09:26:42.2925057Z Finished torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 09:26:42.291864][2256.944324012], took 0.06min
2025-12-04T09:26:42.3100571Z 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-c25383764c22e6b1.xml
2025-12-04T09:26:42.3321166Z Running torch_np/numpy_tests/core/test_multiarray 1/2 ... [2025-12-04 09:26:42.331822][2256.984282777]
2025-12-04T09:26:42.3322097Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:42.3326247Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:42.332242]
2025-12-04T09:26:47.0031715Z 
2025-12-04T09:26:47.0033147Z 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_874cf7c8ca4d94cf_.log
2025-12-04T09:26:47.0034115Z Running 0 items in this shard:
2025-12-04T09:26:47.0034302Z 
2025-12-04T09:26:47.0034697Z Finished torch_np/numpy_tests/core/test_multiarray 1/2 ... [2025-12-04 09:26:47.002964][2261.655422665], took 0.08min
2025-12-04T09:26:47.0214311Z 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-09703acfcdc10df7.xml
2025-12-04T09:26:47.0491028Z Running optim/test_swa_utils 1/1 ... [2025-12-04 09:26:47.048892][2261.701351739]
2025-12-04T09:26:47.0491572Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:47.0494915Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_swa_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:47.049248]
2025-12-04T09:26:49.8674799Z 
2025-12-04T09:26:49.8676196Z optim/test_swa_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_swa_utils_1.1_72ec11cce8d36ad0_.log
2025-12-04T09:26:49.8676908Z 
2025-12-04T09:26:49.8677185Z Finished optim/test_swa_utils 1/1 ... [2025-12-04 09:26:49.867262][2264.519721352], took 0.05min
2025-12-04T09:26:49.8858912Z Running functorch/test_dims 1/1 ... [2025-12-04 09:26:49.885633][2264.538094817]
2025-12-04T09:26:49.8859799Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:49.8864465Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_dims.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:49.886087]
2025-12-04T09:26:53.1552373Z 
2025-12-04T09:26:53.1553219Z functorch/test_dims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_dims_1.1_86b8b835af9d719d_.log
2025-12-04T09:26:53.1553995Z Running 0 items in this shard:
2025-12-04T09:26:53.1554186Z 
2025-12-04T09:26:53.1554509Z Finished functorch/test_dims 1/1 ... [2025-12-04 09:26:53.155037][2267.807497636], took 0.05min
2025-12-04T09:26:53.1732289Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_dims/functorch.test_dims-6ed2944dd27af3ad.xml
2025-12-04T09:26:53.2388522Z Running torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-12-04 09:26:53.238563][2267.891023376]
2025-12-04T09:26:53.2389113Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:53.2392119Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarmath.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:53.238971]
2025-12-04T09:26:56.5580934Z 
2025-12-04T09:26:56.5582593Z torch_np/numpy_tests/core/test_scalarmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarmath_1.1_0bf70ca422073a08_.log
2025-12-04T09:26:56.5584243Z Running 0 items in this shard:
2025-12-04T09:26:56.5584581Z 
2025-12-04T09:26:56.5585258Z Finished torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-12-04 09:26:56.557908][2271.210368017], took 0.06min
2025-12-04T09:26:56.5761488Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalarmath/torch_np.numpy_tests.core.test_scalarmath-8e5186ba9090ea50.xml
2025-12-04T09:26:56.5990925Z Running test_scaled_matmul_cuda 1/1 ... [2025-12-04 09:26:56.598880][2271.251341318]
2025-12-04T09:26:56.5991447Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:56.5994813Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:56.599252]
2025-12-04T09:26:59.8683383Z 
2025-12-04T09:26:59.8684806Z 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_1c76240447e65c08_.log
2025-12-04T09:26:59.8686254Z Running 0 items in this shard:
2025-12-04T09:26:59.8686610Z 
2025-12-04T09:26:59.8687154Z Finished test_scaled_matmul_cuda 1/1 ... [2025-12-04 09:26:59.868012][2274.520472263], took 0.05min
2025-12-04T09:26:59.8864548Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_scaled_matmul_cuda/test_scaled_matmul_cuda-0ba8a171d647771d.xml
2025-12-04T09:26:59.9112361Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-12-04 09:26:59.910967][2274.563428939]
2025-12-04T09:26:59.9113269Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:26:59.9117616Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_shape_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:59.911371]
2025-12-04T09:27:03.2306772Z 
2025-12-04T09:27:03.2307968Z torch_np/numpy_tests/core/test_shape_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_shape_base_1.1_e2952fe6da21f94b_.log
2025-12-04T09:27:03.2308906Z Running 0 items in this shard:
2025-12-04T09:27:03.2309133Z 
2025-12-04T09:27:03.2309502Z Finished torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-12-04 09:27:03.230495][2277.882957169], took 0.06min
2025-12-04T09:27:03.2494852Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_shape_base/torch_np.numpy_tests.core.test_shape_base-ad87dca8aeba326f.xml
2025-12-04T09:27:03.2752085Z Running test_vulkan 1/1 ... [2025-12-04 09:27:03.274961][2277.927421738]
2025-12-04T09:27:03.2752526Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:03.2755549Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_vulkan.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:03.275320]
2025-12-04T09:27:06.2439238Z 
2025-12-04T09:27:06.2440057Z test_vulkan 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_vulkan_1.1_582f930100eaa88f_.log
2025-12-04T09:27:06.2440796Z Running 0 items in this shard:
2025-12-04T09:27:06.2440985Z 
2025-12-04T09:27:06.2441235Z Finished test_vulkan 1/1 ... [2025-12-04 09:27:06.243743][2280.896202675], took 0.05min
2025-12-04T09:27:06.2623300Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_vulkan/test_vulkan-d00c5383ccb5f804.xml
2025-12-04T09:27:06.2864551Z Running lazy/test_generator 1/1 ... [2025-12-04 09:27:06.286111][2280.938570583]
2025-12-04T09:27:06.2865086Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:06.2868018Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_generator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:06.286507]
2025-12-04T09:27:09.3053858Z 
2025-12-04T09:27:09.3054769Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_5c3036adc1122da2_.log
2025-12-04T09:27:09.3055536Z Running 0 items in this shard:
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2025-12-04T09:27:09.3056012Z Finished lazy/test_generator 1/1 ... [2025-12-04 09:27:09.305114][2283.957574004], took 0.05min
2025-12-04T09:27:09.3243522Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_generator/lazy.test_generator-7063510b65ce57fa.xml
2025-12-04T09:27:09.3501918Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-12-04 09:27:09.349916][2284.002376081]
2025-12-04T09:27:09.3502481Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:09.3505518Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/linalg/test_linalg.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:09.350297]
2025-12-04T09:27:12.8697857Z 
2025-12-04T09:27:12.8699134Z torch_np/numpy_tests/linalg/test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.linalg.test_linalg_1.1_4450af1c6e5462df_.log
2025-12-04T09:27:12.8700466Z Running 0 items in this shard:
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2025-12-04T09:27:12.8701019Z Finished torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-12-04 09:27:12.869567][2287.522026022], took 0.06min
2025-12-04T09:27:12.8886546Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.linalg.test_linalg/torch_np.numpy_tests.linalg.test_linalg-d8b5671e1c374877.xml
2025-12-04T09:27:12.9166419Z Running torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-12-04 09:27:12.916376][2287.568836238]
2025-12-04T09:27:12.9167287Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:12.9171216Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dtype.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:12.916769]
2025-12-04T09:27:15.9856340Z 
2025-12-04T09:27:15.9857704Z torch_np/numpy_tests/core/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dtype_1.1_9e7c45b77699c09f_.log
2025-12-04T09:27:15.9858637Z Running 0 items in this shard:
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2025-12-04T09:27:15.9859186Z Finished torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-12-04 09:27:15.985430][2290.63789016], took 0.05min
2025-12-04T09:27:16.0046148Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_dtype/torch_np.numpy_tests.core.test_dtype-901a5aa77a88ec2a.xml
2025-12-04T09:27:16.0333414Z Running lazy/test_debug_util 1/1 ... [2025-12-04 09:27:16.033059][2290.685519005]
2025-12-04T09:27:16.0334172Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:16.0338195Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_debug_util.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:16.033461]
2025-12-04T09:27:19.0022105Z 
2025-12-04T09:27:19.0023009Z lazy/test_debug_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_debug_util_1.1_ad19ec8a2fc9fe69_.log
2025-12-04T09:27:19.0023775Z Running 0 items in this shard:
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2025-12-04T09:27:19.0024245Z Finished lazy/test_debug_util 1/1 ... [2025-12-04 09:27:19.002034][2293.654494186], took 0.05min
2025-12-04T09:27:19.0217929Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_debug_util/lazy.test_debug_util-97c62adccb250940.xml
2025-12-04T09:27:19.0490191Z Running nn/test_load_state_dict 1/1 ... [2025-12-04 09:27:19.048767][2293.701228559]
2025-12-04T09:27:19.0490971Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:19.0495052Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_load_state_dict.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:19.049152]
2025-12-04T09:27:22.3209037Z 
2025-12-04T09:27:22.3209915Z nn/test_load_state_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_load_state_dict_1.1_ed87c8cebc717660_.log
2025-12-04T09:27:22.3210714Z Running 0 items in this shard:
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2025-12-04T09:27:22.3211436Z Finished nn/test_load_state_dict 1/1 ... [2025-12-04 09:27:22.320675][2296.973133933], took 0.05min
2025-12-04T09:27:22.3404041Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_load_state_dict/nn.test_load_state_dict-415662136fa5c774.xml
2025-12-04T09:27:22.3681067Z Running test_shape_ops 1/1 ... [2025-12-04 09:27:22.367890][2297.020349846]
2025-12-04T09:27:22.3681527Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:22.3685136Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_shape_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:22.368243]
2025-12-04T09:27:25.7396998Z 
2025-12-04T09:27:25.7398029Z test_shape_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_shape_ops_1.1_dc58c990c2b2ac82_.log
2025-12-04T09:27:25.7398792Z Running 0 items in this shard:
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2025-12-04T09:27:25.7399230Z Finished test_shape_ops 1/1 ... [2025-12-04 09:27:25.739511][2300.39197144], took 0.06min
2025-12-04T09:27:25.7593681Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_shape_ops/test_shape_ops-10c5420abea7086a.xml
2025-12-04T09:27:25.7876977Z Running nn/test_module_hooks 1/1 ... [2025-12-04 09:27:25.787447][2300.439908042]
2025-12-04T09:27:25.7877456Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:25.7880700Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_module_hooks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:25.787832]
2025-12-04T09:27:29.1592395Z 
2025-12-04T09:27:29.1593294Z nn/test_module_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_module_hooks_1.1_72fe904a51f74818_.log
2025-12-04T09:27:29.1594096Z Running 0 items in this shard:
2025-12-04T09:27:29.1594285Z 
2025-12-04T09:27:29.1594572Z Finished nn/test_module_hooks 1/1 ... [2025-12-04 09:27:29.159068][2303.81152745], took 0.06min
2025-12-04T09:27:29.1786525Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_module_hooks/nn.test_module_hooks-c9c1851c44c6af8f.xml
2025-12-04T09:27:29.2053804Z Running torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-12-04 09:27:29.205150][2303.857611583]
2025-12-04T09:27:29.2054379Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:29.2057653Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_twodim_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:29.205494]
2025-12-04T09:27:32.2261700Z 
2025-12-04T09:27:32.2263011Z torch_np/numpy_tests/lib/test_twodim_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_twodim_base_1.1_245ba2ca46fdc316_.log
2025-12-04T09:27:32.2263977Z Running 0 items in this shard:
2025-12-04T09:27:32.2264212Z 
2025-12-04T09:27:32.2264586Z Finished torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-12-04 09:27:32.225991][2306.878448525], took 0.05min
2025-12-04T09:27:32.2455697Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_twodim_base/torch_np.numpy_tests.lib.test_twodim_base-208982bdd75b9741.xml
2025-12-04T09:27:32.2734622Z Running profiler/test_memory_profiler 1/1 ... [2025-12-04 09:27:32.273236][2306.925697317]
2025-12-04T09:27:32.2735183Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:32.2738431Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_memory_profiler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:32.273582]
2025-12-04T09:27:35.5927211Z 
2025-12-04T09:27:35.5928578Z profiler/test_memory_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_memory_profiler_1.1_15954323efdf1987_.log
2025-12-04T09:27:35.5929471Z Running 0 items in this shard:
2025-12-04T09:27:35.5929659Z 
2025-12-04T09:27:35.5929995Z Finished profiler/test_memory_profiler 1/1 ... [2025-12-04 09:27:35.592522][2310.24498024], took 0.06min
2025-12-04T09:27:35.6125595Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_memory_profiler/profiler.test_memory_profiler-d368ed7d3640cddc.xml
2025-12-04T09:27:35.6389131Z Running test_jit_llga_fuser 1/1 ... [2025-12-04 09:27:35.638681][2310.2911421]
2025-12-04T09:27:35.6389905Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:35.6394303Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_llga_fuser.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:35.639081]
2025-12-04T09:27:39.2086926Z 
2025-12-04T09:27:39.2088223Z test_jit_llga_fuser 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_llga_fuser_1.1_336049c291156a22_.log
2025-12-04T09:27:39.2089642Z Running 0 items in this shard:
2025-12-04T09:27:39.2089995Z 
2025-12-04T09:27:39.2090506Z Finished test_jit_llga_fuser 1/1 ... [2025-12-04 09:27:39.208503][2313.860960815], took 0.06min
2025-12-04T09:27:39.2288945Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_llga_fuser/test_jit_llga_fuser-434f4d6a353159ab.xml
2025-12-04T09:27:39.2542372Z Running test_serialization 1/1 ... [2025-12-04 09:27:39.253971][2313.906432773]
2025-12-04T09:27:39.2542906Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:39.2546081Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_serialization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:39.254330]
2025-12-04T09:27:43.0745752Z 
2025-12-04T09:27:43.0746684Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_0c2fe212fcd8d002_.log
2025-12-04T09:27:43.0747510Z Running 0 items in this shard:
2025-12-04T09:27:43.0747718Z 
2025-12-04T09:27:43.0747989Z Finished test_serialization 1/1 ... [2025-12-04 09:27:43.074391][2317.726849058], took 0.06min
2025-12-04T09:27:43.0946460Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_serialization/test_serialization-6aab3a5f486e309f.xml
2025-12-04T09:27:43.1148397Z Running test_sparse_csr 1/1 ... [2025-12-04 09:27:43.114633][2317.767094232]
2025-12-04T09:27:43.1148852Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:43.1152492Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse_csr.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:43.115014]
2025-12-04T09:27:56.5979595Z 
2025-12-04T09:27:56.5980498Z test_sparse_csr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.1_64efd0ee38fe6104_.log
2025-12-04T09:27:56.5981278Z Running 0 items in this shard:
2025-12-04T09:27:56.5981739Z 
2025-12-04T09:27:56.5982043Z Finished test_sparse_csr 1/1 ... [2025-12-04 09:27:56.597785][2331.25024367], took 0.22min
2025-12-04T09:27:56.6180372Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sparse_csr/test_sparse_csr-575c5b4443569562.xml
2025-12-04T09:27:56.6967964Z Running test_indexing 1/1 ... [2025-12-04 09:27:56.696536][2331.348997272]
2025-12-04T09:27:56.6968618Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:27:56.6971735Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_indexing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:56.696900]
2025-12-04T09:28:00.2161815Z 
2025-12-04T09:28:00.2162688Z test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_indexing_1.1_0bc93f090b31bec8_.log
2025-12-04T09:28:00.2163430Z Running 0 items in this shard:
2025-12-04T09:28:00.2163633Z 
2025-12-04T09:28:00.2163878Z Finished test_indexing 1/1 ... [2025-12-04 09:28:00.215985][2334.868445677], took 0.06min
2025-12-04T09:28:00.2364518Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_indexing/test_indexing-e2e10f7efba6e0ca.xml
2025-12-04T09:28:00.2636366Z Running torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-12-04 09:28:00.263418][2334.915878987]
2025-12-04T09:28:00.2636912Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:28:00.2640041Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_pocketfft.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:00.263749]
2025-12-04T09:28:03.3827290Z 
2025-12-04T09:28:03.3828758Z torch_np/numpy_tests/fft/test_pocketfft 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_pocketfft_1.1_2ae9b07c3657dbc5_.log
2025-12-04T09:28:03.3829725Z Running 0 items in this shard:
2025-12-04T09:28:03.3829929Z 
2025-12-04T09:28:03.3830295Z Finished torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-12-04 09:28:03.382560][2338.035017059], took 0.05min
2025-12-04T09:28:03.4029960Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.fft.test_pocketfft/torch_np.numpy_tests.fft.test_pocketfft-d4c8940ea52efae2.xml
2025-12-04T09:28:03.4361766Z Running functorch/test_ops 1/1 ... [2025-12-04 09:28:03.435858][2338.088317812]
2025-12-04T09:28:03.4362276Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:28:03.4364931Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:03.436227]
2025-12-04T09:28:27.2830609Z 
2025-12-04T09:28:27.2831897Z functorch/test_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.1_a0cb5ef53040ad2a_.log
2025-12-04T09:28:27.2832668Z Running 0 items in this shard:
2025-12-04T09:28:27.2832887Z 
2025-12-04T09:28:27.2833164Z Finished functorch/test_ops 1/1 ... [2025-12-04 09:28:27.282870][2361.935328385], took 0.40min
2025-12-04T09:28:27.3035281Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-ccf14ba25a45d488.xml
2025-12-04T09:28:27.3809761Z Running functorch/test_aotdispatch 2/3 ... [2025-12-04 09:28:27.380655][2362.033114382]
2025-12-04T09:28:27.3810281Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:28:27.3812761Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:27.381012]
2025-12-04T09:28:39.0611602Z 
2025-12-04T09:28:39.0612835Z functorch/test_aotdispatch 2/3 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_2.3_57afabb3d89fe955_.log
2025-12-04T09:28:39.0613716Z Running 0 items in this shard:
2025-12-04T09:28:39.0613905Z 
2025-12-04T09:28:39.0614218Z Finished functorch/test_aotdispatch 2/3 ... [2025-12-04 09:28:39.060964][2373.713424196], took 0.19min
2025-12-04T09:28:39.0812232Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-08a3cc3f27c7458c.xml
2025-12-04T09:28:39.1524623Z Running functorch/test_aotdispatch 3/3 ... [2025-12-04 09:28:39.152180][2373.804640921]
2025-12-04T09:28:39.1525180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:28:39.1527776Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=3', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:39.152511]
2025-12-04T09:28:50.7825094Z 
2025-12-04T09:28:50.7826403Z functorch/test_aotdispatch 3/3 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_3.3_c439368739423d3c_.log
2025-12-04T09:28:50.7827245Z Running 0 items in this shard:
2025-12-04T09:28:50.7827448Z 
2025-12-04T09:28:50.7827764Z Finished functorch/test_aotdispatch 3/3 ... [2025-12-04 09:28:50.782320][2385.434780593], took 0.19min
2025-12-04T09:28:50.8030361Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-88c057752ed008f3.xml
2025-12-04T09:28:50.8759492Z Running test_cuda_multigpu 1/1 ... [2025-12-04 09:28:50.875671][2385.528130621]
2025-12-04T09:28:50.8759979Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:28:50.8763003Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_multigpu.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:50.876019]
2025-12-04T09:28:54.1449949Z 
2025-12-04T09:28:54.1450909Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_3d0168d1526d57b9_.log
2025-12-04T09:28:54.1451652Z Running 0 items in this shard:
2025-12-04T09:28:54.1451857Z 
2025-12-04T09:28:54.1452129Z Finished test_cuda_multigpu 1/1 ... [2025-12-04 09:28:54.144840][2388.797299014], took 0.05min
2025-12-04T09:28:54.1656367Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_multigpu/test_cuda_multigpu-8f0db33bc123c7b9.xml
2025-12-04T09:28:57.0064892Z Running inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:28:57.005967][2391.658425729]
2025-12-04T09:28:57.0065987Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:28:57.0071473Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_collective_autotuning.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:57.006461]
2025-12-04T09:28:57.0189886Z Running test_functional_autograd_benchmark 1/1 ... [2025-12-04 09:28:57.018669][2391.671127885]
2025-12-04T09:28:57.0190777Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:28:57.0195549Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:57.019151]
2025-12-04T09:28:57.0285855Z Running inductor/test_select_algorithm 1/1 ... [2025-12-04 09:28:57.028289][2391.680748658]
2025-12-04T09:28:57.0286621Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:28:57.0291581Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_select_algorithm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:57.028758]
2025-12-04T09:28:58.5734646Z 
2025-12-04T09:28:58.5736259Z 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_0e722078fedb8731_.log
2025-12-04T09:28:58.5737731Z 
2025-12-04T09:28:58.5738099Z Finished inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:28:58.573336][2393.225792762], took 0.03min
2025-12-04T09:29:00.1894083Z 
2025-12-04T09:29:00.1895659Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_96edf32b06774cc9_.log
2025-12-04T09:29:00.1896879Z Running 0 items in this shard:
2025-12-04T09:29:00.1897073Z 
2025-12-04T09:29:00.1897536Z Finished test_functional_autograd_benchmark 1/1 ... [2025-12-04 09:29:00.189334][2394.841790951], took 0.05min
2025-12-04T09:29:00.2000317Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functional_autograd_benchmark/test_functional_autograd_benchmark-e3a81676d63b4115.xml
2025-12-04T09:29:02.1199423Z Running inductor/test_torchinductor_dynamic_shapes 2/2 ... [2025-12-04 09:29:02.119466][2396.771922038]
2025-12-04T09:29:02.1200438Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:02.1204256Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:02.119995]
2025-12-04T09:29:03.8163532Z Running inductor/test_torchinductor_codegen_dynamic_shapes 1/2 ... [2025-12-04 09:29:03.815814][2398.468272837]
2025-12-04T09:29:03.8164771Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:03.8167536Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:03.816258]
2025-12-04T09:29:04.7575498Z 
2025-12-04T09:29:04.7577095Z inductor/test_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_select_algorithm_1.1_64c4e3e2d612f0ad_.log
2025-12-04T09:29:04.7578552Z 
2025-12-04T09:29:04.7579180Z Finished inductor/test_select_algorithm 1/1 ... [2025-12-04 09:29:04.757278][2399.409736854], took 0.13min
2025-12-04T09:29:08.3773234Z Running inductor/test_torchinductor_codegen_dynamic_shapes 2/2 ... [2025-12-04 09:29:08.376852][2403.029309108]
2025-12-04T09:29:08.3773890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:08.3779710Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:08.377363]
2025-12-04T09:29:12.0015320Z 
2025-12-04T09:29:12.0017087Z inductor/test_torchinductor_dynamic_shapes 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_2.2_280e22d02d84d835_.log
2025-12-04T09:29:12.0018646Z Running 0 items in this shard:
2025-12-04T09:29:12.0018979Z 
2025-12-04T09:29:12.0020089Z Finished inductor/test_torchinductor_dynamic_shapes 2/2 ... [2025-12-04 09:29:12.001475][2406.653933286], took 0.16min
2025-12-04T09:29:12.0130796Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-670f28783ded6e6e.xml
2025-12-04T09:29:13.7492440Z 
2025-12-04T09:29:13.7494268Z 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_a97c517b1802802d_.log
2025-12-04T09:29:13.7496299Z Running 0 items in this shard:
2025-12-04T09:29:13.7496631Z 
2025-12-04T09:29:13.7497395Z Finished inductor/test_torchinductor_codegen_dynamic_shapes 1/2 ... [2025-12-04 09:29:13.749233][2408.401690467], took 0.17min
2025-12-04T09:29:13.7605807Z 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-9e96c8ae7d92ca80.xml
2025-12-04T09:29:15.5745007Z Running inductor/test_pattern_matcher 1/1 ... [2025-12-04 09:29:15.574055][2410.226512288]
2025-12-04T09:29:15.5745856Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:15.5749411Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pattern_matcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:15.574575]
2025-12-04T09:29:17.3172071Z Running inductor/test_smoke 1/1 ... [2025-12-04 09:29:17.316789][2411.969248784]
2025-12-04T09:29:17.3172805Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:17.3176171Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_smoke.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:17.317237]
2025-12-04T09:29:18.2100013Z 
2025-12-04T09:29:18.2101766Z 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_f72e39de7a4a4c45_.log
2025-12-04T09:29:18.2103148Z Running 0 items in this shard:
2025-12-04T09:29:18.2103375Z 
2025-12-04T09:29:18.2103794Z Finished inductor/test_torchinductor_codegen_dynamic_shapes 2/2 ... [2025-12-04 09:29:18.209861][2412.862318576], took 0.16min
2025-12-04T09:29:18.2212360Z 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-0a59892b3bce0c20.xml
2025-12-04T09:29:21.7506695Z Running dynamo/test_after_aot 1/1 ... [2025-12-04 09:29:21.750267][2416.402725469]
2025-12-04T09:29:21.7507589Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:21.7511324Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_after_aot.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:21.750750]
2025-12-04T09:29:23.2030807Z 
2025-12-04T09:29:23.2032065Z inductor/test_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pattern_matcher_1.1_32ff597b7d1696b7_.log
2025-12-04T09:29:23.2033623Z 
2025-12-04T09:29:23.2034205Z Finished inductor/test_pattern_matcher 1/1 ... [2025-12-04 09:29:23.202872][2417.855329216], took 0.13min
2025-12-04T09:29:24.9448663Z 
2025-12-04T09:29:24.9450567Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_f03602add2139645_.log
2025-12-04T09:29:24.9451857Z 
2025-12-04T09:29:24.9452359Z Finished inductor/test_smoke 1/1 ... [2025-12-04 09:29:24.944550][2419.597011207], took 0.13min
2025-12-04T09:29:24.9613710Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_after_aot/dynamo.test_after_aot-e85014bd5653cc9e.xml
2025-12-04T09:29:25.3213620Z 
2025-12-04T09:29:25.3215046Z dynamo/test_after_aot 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_after_aot_1.1_63140328e0ad0e83_.log
2025-12-04T09:29:25.3216150Z Running 0 items in this shard:
2025-12-04T09:29:25.3216394Z 
2025-12-04T09:29:25.3216691Z Finished dynamo/test_after_aot 1/1 ... [2025-12-04 09:29:25.321296][2419.973751948], took 0.06min
2025-12-04T09:29:26.8100553Z Running inductor/test_minifier 1/1 ... [2025-12-04 09:29:26.809619][2421.462077326]
2025-12-04T09:29:26.8101340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:26.8105070Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:26.810107]
2025-12-04T09:29:28.4778939Z Running inductor/test_compiled_autograd 1/2 ... [2025-12-04 09:29:28.477454][2423.129913818]
2025-12-04T09:29:28.4780122Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:28.4783349Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_autograd.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:28.477938]
2025-12-04T09:29:28.8430161Z Running inductor/test_custom_lowering 1/1 ... [2025-12-04 09:29:28.842566][2423.495022515]
2025-12-04T09:29:28.8430794Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:28.8434238Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:28.843137]
2025-12-04T09:29:34.3374023Z 
2025-12-04T09:29:34.3375717Z inductor/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_1.1_27baa930e4f97c0b_.log
2025-12-04T09:29:34.3376817Z Running 0 items in this shard:
2025-12-04T09:29:34.3377008Z 
2025-12-04T09:29:34.3377320Z Finished inductor/test_minifier 1/1 ... [2025-12-04 09:29:34.337324][2428.989780402], took 0.13min
2025-12-04T09:29:34.3553712Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_minifier/inductor.test_minifier-33ce4adacd39117d.xml
2025-12-04T09:29:36.6209580Z 
2025-12-04T09:29:36.6210961Z 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_0b60d22a80b75c8c_.log
2025-12-04T09:29:36.6212298Z Running 0 items in this shard:
2025-12-04T09:29:36.6212622Z 
2025-12-04T09:29:36.6213199Z Finished inductor/test_custom_lowering 1/1 ... [2025-12-04 09:29:36.620848][2431.273306229], took 0.13min
2025-12-04T09:29:36.6327341Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_custom_lowering/inductor.test_custom_lowering-8b713d0f73a599bd.xml
2025-12-04T09:29:37.9687920Z Running inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:29:37.968383][2432.620841967]
2025-12-04T09:29:37.9688830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:37.9692632Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:37.968827]
2025-12-04T09:29:40.1142970Z Running inductor/test_fused_attention 1/1 ... [2025-12-04 09:29:40.113863][2434.7663198]
2025-12-04T09:29:40.1143807Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:40.1147778Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:40.114364]
2025-12-04T09:29:40.5123787Z 
2025-12-04T09:29:40.5125411Z inductor/test_compiled_autograd 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_autograd_1.2_3ce3650b845f8b59_.log
2025-12-04T09:29:40.5182610Z Running 50 items in this shard: test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel
2025-12-04T09:29:40.5231399Z 
2025-12-04T09:29:40.5232032Z Finished inductor/test_compiled_autograd 1/2 ... [2025-12-04 09:29:40.512393][2435.16485093], took 0.20min
2025-12-04T09:29:40.5309737Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_autograd/inductor.test_compiled_autograd-84be16a88e1db668.xml
2025-12-04T09:29:44.0378845Z Running dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 09:29:44.037455][2438.689913924]
2025-12-04T09:29:44.0379987Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:44.0383479Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:44.037941]
2025-12-04T09:29:45.5460618Z 
2025-12-04T09:29:45.5461862Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_bb8ee69a7de223d6_.log
2025-12-04T09:29:45.5462826Z 
2025-12-04T09:29:45.5463444Z Finished inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:29:45.545820][2440.198277777], took 0.13min
2025-12-04T09:29:47.8933173Z 
2025-12-04T09:29:47.8934501Z 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_cc61a453ebfdebd4_.log
2025-12-04T09:29:47.8935661Z Running 0 items in this shard:
2025-12-04T09:29:47.8935927Z 
2025-12-04T09:29:47.8936418Z Finished inductor/test_fused_attention 1/1 ... [2025-12-04 09:29:47.893204][2442.545661343], took 0.13min
2025-12-04T09:29:47.9054338Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fused_attention/inductor.test_fused_attention-333545d9a4d549e5.xml
2025-12-04T09:29:49.1198697Z Running inductor/test_binary_folding 1/1 ... [2025-12-04 09:29:49.119445][2443.77190199]
2025-12-04T09:29:49.1199767Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:49.1202980Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:49.119908]
2025-12-04T09:29:51.4487822Z Running inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 09:29:51.448326][2446.100785208]
2025-12-04T09:29:51.4488946Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:51.4491570Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:51.448764]
2025-12-04T09:29:51.7722006Z 
2025-12-04T09:29:51.7723516Z 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_c39cd860a5d2ab78_.log
2025-12-04T09:29:51.7725006Z Running 0 items in this shard:
2025-12-04T09:29:51.7725337Z 
2025-12-04T09:29:51.7725904Z Finished dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 09:29:51.772231][2446.424687014], took 0.13min
2025-12-04T09:29:51.8072405Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_activation_checkpointing/dynamo.test_activation_checkpointing-3efa4ce968455a61.xml
2025-12-04T09:29:55.3273341Z Running inductor/test_mkldnn_pattern_matcher 2/2 ... [2025-12-04 09:29:55.326901][2449.979358423]
2025-12-04T09:29:55.3274246Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:55.3279205Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:55.327391]
2025-12-04T09:29:57.1477086Z 
2025-12-04T09:29:57.1478934Z 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_dba4175653a6fbbf_.log
2025-12-04T09:29:57.1481317Z Running 0 items in this shard:
2025-12-04T09:29:57.1481745Z 
2025-12-04T09:29:57.1485624Z Finished inductor/test_binary_folding 1/1 ... [2025-12-04 09:29:57.147610][2451.800064737], took 0.13min
2025-12-04T09:29:57.1865484Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_binary_folding/inductor.test_binary_folding-cf6af4f42d04785c.xml
2025-12-04T09:29:59.8783249Z 
2025-12-04T09:29:59.8784929Z 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_0c1b93c230633a83_.log
2025-12-04T09:29:59.8813035Z Running 50 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, 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, 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, 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
2025-12-04T09:29:59.8839584Z 
2025-12-04T09:29:59.8839947Z Finished inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 09:29:59.878486][2454.530941309], took 0.14min
2025-12-04T09:29:59.8919285Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-ee3675f1bad3031f.xml
2025-12-04T09:30:00.7072704Z Running dynamo/test_logging 1/1 ... [2025-12-04 09:30:00.706756][2455.359212623]
2025-12-04T09:30:00.7073556Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:00.7076128Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_logging.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:00.707246]
2025-12-04T09:30:03.4743239Z Running inductor/test_inductor_freezing 1/1 ... [2025-12-04 09:30:03.473857][2458.126313444]
2025-12-04T09:30:03.4744260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:03.4747535Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inductor_freezing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:03.474331]
2025-12-04T09:30:03.7573592Z 
2025-12-04T09:30:03.7575290Z inductor/test_mkldnn_pattern_matcher 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_2.2_d8dd0591f680c1f0_.log
2025-12-04T09:30:03.7577322Z Running 0 items in this shard:
2025-12-04T09:30:03.7577692Z 
2025-12-04T09:30:03.7578345Z Finished inductor/test_mkldnn_pattern_matcher 2/2 ... [2025-12-04 09:30:03.757175][2458.409634125], took 0.14min
2025-12-04T09:30:03.7699741Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-6df46337fa62459b.xml
2025-12-04T09:30:07.3283115Z Running inductor/test_layout_optim 1/1 ... [2025-12-04 09:30:07.327813][2461.980272197]
2025-12-04T09:30:07.3283650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:07.3286234Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:07.328314]
2025-12-04T09:30:08.6859640Z 
2025-12-04T09:30:08.6861040Z dynamo/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_logging_1.1_787e83156198b395_.log
2025-12-04T09:30:08.6862442Z Running 0 items in this shard:
2025-12-04T09:30:08.6862763Z 
2025-12-04T09:30:08.6863250Z Finished dynamo/test_logging 1/1 ... [2025-12-04 09:30:08.685935][2463.338392043], took 0.13min
2025-12-04T09:30:08.6991635Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_logging/dynamo.test_logging-fe7e534f09227acb.xml
2025-12-04T09:30:11.8042442Z 
2025-12-04T09:30:11.8044233Z inductor/test_inductor_freezing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_freezing_1.1_35698ec7cf2479f0_.log
2025-12-04T09:30:11.8113217Z Running 100 items in this shard: test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu
2025-12-04T09:30:11.8182702Z 
2025-12-04T09:30:11.8183347Z Finished inductor/test_inductor_freezing 1/1 ... [2025-12-04 09:30:11.804364][2466.45682061], took 0.14min
2025-12-04T09:30:11.8185700Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_freezing/inductor.test_inductor_freezing-fbc617b28fbf3d6d.xml
2025-12-04T09:30:12.3149945Z Running dynamo/test_unspec 1/1 ... [2025-12-04 09:30:12.314564][2466.967021731]
2025-12-04T09:30:12.3150733Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:12.3153863Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_unspec.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:12.315055]
2025-12-04T09:30:14.9560565Z 
2025-12-04T09:30:14.9562009Z 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_4c5a964825b5bc80_.log
2025-12-04T09:30:14.9563332Z 
2025-12-04T09:30:14.9564248Z Finished inductor/test_layout_optim 1/1 ... [2025-12-04 09:30:14.955784][2469.608244487], took 0.13min
2025-12-04T09:30:15.3163175Z Running dynamo/test_repros 1/1 ... [2025-12-04 09:30:15.315874][2469.968332252]
2025-12-04T09:30:15.3163663Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:15.3167804Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_repros.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:15.316347]
2025-12-04T09:30:16.2363785Z 
2025-12-04T09:30:16.2365244Z dynamo/test_unspec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unspec_1.1_10faa2eb509575f6_.log
2025-12-04T09:30:16.2366287Z Running 0 items in this shard:
2025-12-04T09:30:16.2366480Z 
2025-12-04T09:30:16.2366760Z Finished dynamo/test_unspec 1/1 ... [2025-12-04 09:30:16.236287][2470.888742992], took 0.07min
2025-12-04T09:30:16.2587493Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_unspec/dynamo.test_unspec-a472e42cd0fd8f82.xml
2025-12-04T09:30:18.4637327Z Running dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:30:18.463298][2473.115756008]
2025-12-04T09:30:18.4638272Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:18.4642078Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_higher_order_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:18.463796]
2025-12-04T09:30:19.7280639Z Running inductor/test_mmdecomp 1/1 ... [2025-12-04 09:30:19.727650][2474.380108952]
2025-12-04T09:30:19.7281404Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:19.7284660Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mmdecomp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:19.728121]
2025-12-04T09:30:20.3396910Z 
2025-12-04T09:30:20.3397876Z dynamo/test_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_repros_1.1_092f743ef754563a_.log
2025-12-04T09:30:20.3570289Z Running 300 items in this shard: test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, 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test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename
2025-12-04T09:30:20.3742137Z 
2025-12-04T09:30:20.3742675Z Finished dynamo/test_repros 1/1 ... [2025-12-04 09:30:20.340328][2474.992784675], took 0.08min
2025-12-04T09:30:20.3744491Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_repros/dynamo.test_repros-ed88eab148e509ce.xml
2025-12-04T09:30:23.8978885Z Running dynamo/test_ctx_manager 1/1 ... [2025-12-04 09:30:23.897470][2478.549928421]
2025-12-04T09:30:23.8979418Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:23.8982492Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_ctx_manager.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:23.897940]
2025-12-04T09:30:27.1979430Z 
2025-12-04T09:30:27.1980981Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_ba1de32af70d7be8_.log
2025-12-04T09:30:27.1982541Z Running 0 items in this shard:
2025-12-04T09:30:27.1982970Z 
2025-12-04T09:30:27.1983524Z Finished dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:30:27.197817][2481.850277148], took 0.15min
2025-12-04T09:30:27.2199350Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_higher_order_ops/dynamo.test_higher_order_ops-33557c59c29b9362.xml
2025-12-04T09:30:28.2071443Z 
2025-12-04T09:30:28.2072885Z inductor/test_mmdecomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mmdecomp_1.1_7b59bd7435496284_.log
2025-12-04T09:30:28.2074840Z Running 0 items in this shard:
2025-12-04T09:30:28.2075754Z 
2025-12-04T09:30:28.2076400Z Finished inductor/test_mmdecomp 1/1 ... [2025-12-04 09:30:28.207339][2482.859795047], took 0.14min
2025-12-04T09:30:28.2629376Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mmdecomp/inductor.test_mmdecomp-22d6063c034ac20c.xml
2025-12-04T09:30:30.7894595Z Running dynamo/test_exc 1/1 ... [2025-12-04 09:30:30.788940][2485.441396505]
2025-12-04T09:30:30.7895435Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:30.7897508Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_exc.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:30.789411]
2025-12-04T09:30:31.7662581Z Running dynamo/test_misc 1/1 ... [2025-12-04 09:30:31.765789][2486.418245733]
2025-12-04T09:30:31.7663328Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:31.7666510Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_misc.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:31.766287]
2025-12-04T09:30:31.9266397Z 
2025-12-04T09:30:31.9267834Z dynamo/test_ctx_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_ctx_manager_1.1_fe31cdd8f041e76d_.log
2025-12-04T09:30:31.9269292Z Running 0 items in this shard:
2025-12-04T09:30:31.9269669Z 
2025-12-04T09:30:31.9271330Z Finished dynamo/test_ctx_manager 1/1 ... [2025-12-04 09:30:31.926524][2486.578982372], took 0.13min
2025-12-04T09:30:31.9490698Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_ctx_manager/dynamo.test_ctx_manager-64895f5494e4a62c.xml
2025-12-04T09:30:34.3607477Z 
2025-12-04T09:30:34.3609067Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_722dfc4b9be3e825_.log
2025-12-04T09:30:34.3610001Z Running 0 items in this shard:
2025-12-04T09:30:34.3610614Z 
2025-12-04T09:30:34.3610973Z Finished dynamo/test_exc 1/1 ... [2025-12-04 09:30:34.360734][2489.013190496], took 0.06min
2025-12-04T09:30:34.3753809Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_exc/dynamo.test_exc-9f9e6bd2aa47efbe.xml
2025-12-04T09:30:35.5063024Z Running inductor/test_cpu_select_algorithm 1/1 ... [2025-12-04 09:30:35.505811][2490.158271129]
2025-12-04T09:30:35.5064153Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:35.5066839Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:35.506252]
2025-12-04T09:30:37.9075620Z Running inductor/test_aot_inductor_arrayref 1/1 ... [2025-12-04 09:30:37.907093][2492.559550504]
2025-12-04T09:30:37.9076734Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:37.9079861Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_arrayref.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:37.907590]
2025-12-04T09:30:37.9910283Z 
2025-12-04T09:30:37.9911846Z dynamo/test_misc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_misc_1.1_dc123fb42ee914b6_.log
2025-12-04T09:30:37.9913142Z Running 0 items in this shard:
2025-12-04T09:30:37.9913465Z 
2025-12-04T09:30:37.9913912Z Finished dynamo/test_misc 1/1 ... [2025-12-04 09:30:37.990847][2492.64330605], took 0.10min
2025-12-04T09:30:38.0055729Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_misc/dynamo.test_misc-791b4d2d8b54aa7d.xml
2025-12-04T09:30:41.5608830Z Running inductor/test_cpu_cpp_wrapper 1/4 ... [2025-12-04 09:30:41.560446][2496.212904201]
2025-12-04T09:30:41.5609732Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:41.5621233Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:41.560908]
2025-12-04T09:30:46.5874918Z 
2025-12-04T09:30:46.5876890Z inductor/test_aot_inductor_arrayref 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_arrayref_1.1_7574282dbfb3418a_.log
2025-12-04T09:30:46.5946542Z Running 50 items in this shard: test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation
2025-12-04T09:30:46.6010029Z 
2025-12-04T09:30:46.6010573Z Finished inductor/test_aot_inductor_arrayref 1/1 ... [2025-12-04 09:30:46.587439][2501.239894543], took 0.14min
2025-12-04T09:30:46.6112036Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_select_algorithm/inductor.test_cpu_select_algorithm-f322d172b24c6ec5.xml
2025-12-04T09:30:46.6952950Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-a9ebe81674fddae4.xml
2025-12-04T09:30:47.0404873Z 
2025-12-04T09:30:47.0406485Z inductor/test_cpu_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_1.1_b42f97b1ab9bc366_.log
2025-12-04T09:30:47.0408668Z Running 0 items in this shard:
2025-12-04T09:30:47.0409115Z 
2025-12-04T09:30:47.0409914Z Finished inductor/test_cpu_select_algorithm 1/1 ... [2025-12-04 09:30:47.040535][2501.692990747], took 0.19min
2025-12-04T09:30:50.1365244Z Running inductor/test_triton_cpu_backend 1/1 ... [2025-12-04 09:30:50.136069][2504.788525391]
2025-12-04T09:30:50.1366192Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:50.1370187Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_cpu_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:50.136568]
2025-12-04T09:30:50.6407654Z Running test_custom_ops 1/1 ... [2025-12-04 09:30:50.640361][2505.292820555]
2025-12-04T09:30:50.6408413Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:50.6412925Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:50.640887]
2025-12-04T09:30:51.1929226Z 
2025-12-04T09:30:51.1930770Z inductor/test_cpu_cpp_wrapper 1/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.4_aad6d4ce90682a34_.log
2025-12-04T09:30:51.1931664Z Running 0 items in this shard:
2025-12-04T09:30:51.1931855Z 
2025-12-04T09:30:51.1932179Z Finished inductor/test_cpu_cpp_wrapper 1/4 ... [2025-12-04 09:30:51.192819][2505.845277445], took 0.16min
2025-12-04T09:30:51.2198635Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_cpp_wrapper/inductor.test_cpu_cpp_wrapper-2a2ff134403c0c23.xml
2025-12-04T09:30:54.6504227Z Running test_content_store 1/1 ... [2025-12-04 09:30:54.650049][2509.302505579]
2025-12-04T09:30:54.6504800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:54.6508291Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:54.650526]
2025-12-04T09:30:55.6646117Z 
2025-12-04T09:30:55.6647662Z test_custom_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_custom_ops_1.1_48b8c7b00f0daa71_.log
2025-12-04T09:30:55.6670229Z Running 50 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, 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, 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, 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
2025-12-04T09:30:55.6694956Z 
2025-12-04T09:30:55.6698495Z Finished test_custom_ops 1/1 ... [2025-12-04 09:30:55.665031][2510.317456234], took 0.08min
2025-12-04T09:30:55.7080653Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_custom_ops/test_custom_ops-b000653c4b655087.xml
2025-12-04T09:30:58.0144526Z 
2025-12-04T09:30:58.0146470Z inductor/test_triton_cpu_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_cpu_backend_1.1_6777447def764a00_.log
2025-12-04T09:30:58.0147906Z 
2025-12-04T09:30:58.0148470Z Finished inductor/test_triton_cpu_backend 1/1 ... [2025-12-04 09:30:58.014168][2512.666629072], took 0.13min
2025-12-04T09:30:58.0301356Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_content_store/test_content_store-05f59cc5c9fe4d9c.xml
2025-12-04T09:30:58.2213478Z 
2025-12-04T09:30:58.2214755Z test_content_store 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_content_store_1.1_842a09890311c833_.log
2025-12-04T09:30:58.2215808Z Running 0 items in this shard:
2025-12-04T09:30:58.2216132Z 
2025-12-04T09:30:58.2216542Z Finished test_content_store 1/1 ... [2025-12-04 09:30:58.221366][2512.873821555], took 0.06min
2025-12-04T09:30:59.2307831Z Running inductor/test_halide 1/1 ... [2025-12-04 09:30:59.230280][2513.882734904]
2025-12-04T09:30:59.2308696Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:59.2314735Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_halide.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:59.230982]
2025-12-04T09:31:01.5635603Z Running inductor/test_compile_subprocess 1/1 ... [2025-12-04 09:31:01.563110][2516.215564496]
2025-12-04T09:31:01.5636558Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:01.5639318Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile_subprocess.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:01.563578]
2025-12-04T09:31:01.7546008Z Running inductor/test_multi_kernel 1/1 ... [2025-12-04 09:31:01.754187][2516.406646838]
2025-12-04T09:31:01.7546572Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:01.7549440Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:01.754637]
2025-12-04T09:31:07.0681344Z 
2025-12-04T09:31:07.0683115Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_202a1a2f38613133_.log
2025-12-04T09:31:07.0685123Z 
2025-12-04T09:31:07.0685814Z Finished inductor/test_halide 1/1 ... [2025-12-04 09:31:07.067803][2521.720260037], took 0.13min
2025-12-04T09:31:10.6684786Z Running inductor/test_triton_syntax 1/1 ... [2025-12-04 09:31:10.668057][2525.320516093]
2025-12-04T09:31:10.6685721Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:10.6689039Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_syntax.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:10.668501]
2025-12-04T09:31:10.7360310Z 
2025-12-04T09:31:10.7362038Z 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_9eecab4d3703cb4f_.log
2025-12-04T09:31:10.7363088Z 
2025-12-04T09:31:10.7363414Z Finished inductor/test_multi_kernel 1/1 ... [2025-12-04 09:31:10.735820][2525.388278307], took 0.15min
2025-12-04T09:31:11.9962924Z 
2025-12-04T09:31:11.9964551Z inductor/test_compile_subprocess 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_1.1_e00b782fce131596_.log
2025-12-04T09:31:12.0150108Z Running 300 items in this shard: test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, 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_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::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, 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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_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_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_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, 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, 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, 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
2025-12-04T09:31:12.0338243Z 
2025-12-04T09:31:12.0338812Z Finished inductor/test_compile_subprocess 1/1 ... [2025-12-04 09:31:11.996854][2526.649310255], took 0.17min
2025-12-04T09:31:12.0340704Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-50d3fc091b1179fb.xml
2025-12-04T09:31:14.3299235Z Running inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:31:14.329483][2528.981941624]
2025-12-04T09:31:14.3300323Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:14.3303549Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_b2b_gemm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:14.329946]
2025-12-04T09:31:15.5293725Z Running inductor/test_ck_backend 1/1 ... [2025-12-04 09:31:15.528920][2530.181378902]
2025-12-04T09:31:15.5294657Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:15.5297589Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:15.529390]
2025-12-04T09:31:18.2456817Z 
2025-12-04T09:31:18.2458301Z inductor/test_triton_syntax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_syntax_1.1_ccea722cebe388da_.log
2025-12-04T09:31:18.2459714Z 
2025-12-04T09:31:18.2460303Z Finished inductor/test_triton_syntax 1/1 ... [2025-12-04 09:31:18.245412][2532.897871317], took 0.13min
2025-12-04T09:31:21.8506593Z Running inductor/test_gpu_cpp_wrapper 1/1 ... [2025-12-04 09:31:21.850260][2536.502718061]
2025-12-04T09:31:21.8507414Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:21.8511956Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_gpu_cpp_wrapper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:21.850783]
2025-12-04T09:31:22.0068616Z 
2025-12-04T09:31:22.0070040Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_a251b2fc1c363ff0_.log
2025-12-04T09:31:22.0071073Z 
2025-12-04T09:31:22.0071637Z Finished inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:31:22.006572][2536.659032721], took 0.13min
2025-12-04T09:31:23.6073190Z 
2025-12-04T09:31:23.6074733Z 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_f932e2dd814582b4_.log
2025-12-04T09:31:23.6075641Z 
2025-12-04T09:31:23.6075959Z Finished inductor/test_ck_backend 1/1 ... [2025-12-04 09:31:23.607050][2538.259508485], took 0.13min
2025-12-04T09:31:25.5293452Z Running inductor/test_flex_flash 1/1 ... [2025-12-04 09:31:25.528837][2540.181296554]
2025-12-04T09:31:25.5294226Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:25.5296169Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_flash.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:25.529297]
2025-12-04T09:31:27.0603288Z Running inductor/test_native_matmul 1/1 ... [2025-12-04 09:31:27.059913][2541.712371708]
2025-12-04T09:31:27.0603849Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:27.0607445Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:27.060402]
2025-12-04T09:31:29.7793103Z 
2025-12-04T09:31:29.7794475Z inductor/test_gpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_gpu_cpp_wrapper_1.1_30d42bfc284d8719_.log
2025-12-04T09:31:29.7795258Z 
2025-12-04T09:31:29.7795582Z Finished inductor/test_gpu_cpp_wrapper 1/1 ... [2025-12-04 09:31:29.779037][2544.431498019], took 0.13min
2025-12-04T09:31:29.8062914Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-8f0428c7041ceddf.xml
2025-12-04T09:31:30.0018100Z 
2025-12-04T09:31:30.0019969Z inductor/test_flex_flash 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_flash_1.1_0b0d823dffe1a98a_.log
2025-12-04T09:31:30.0021548Z Running 0 items in this shard:
2025-12-04T09:31:30.0021897Z 
2025-12-04T09:31:30.0022465Z Finished inductor/test_flex_flash 1/1 ... [2025-12-04 09:31:30.001772][2544.654229687], took 0.07min
2025-12-04T09:31:33.3416836Z Running inductor/test_loop_ordering 1/1 ... [2025-12-04 09:31:33.341281][2547.993740803]
2025-12-04T09:31:33.3417669Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:33.3421799Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_loop_ordering.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:33.341760]
2025-12-04T09:31:33.5964717Z Running inductor/test_lookup_table 1/1 ... [2025-12-04 09:31:33.596046][2548.248501922]
2025-12-04T09:31:33.5965236Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:33.5968368Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_lookup_table.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:33.596555]
2025-12-04T09:31:34.5883092Z 
2025-12-04T09:31:34.5884833Z 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_732de3048ef809e2_.log
2025-12-04T09:31:34.5886643Z 
2025-12-04T09:31:34.5887263Z Finished inductor/test_native_matmul 1/1 ... [2025-12-04 09:31:34.588078][2549.240533582], took 0.13min
2025-12-04T09:31:38.0385271Z Running inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 09:31:38.038113][2552.690572346]
2025-12-04T09:31:38.0386654Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:38.0389101Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:38.038552]
2025-12-04T09:31:40.8695339Z 
2025-12-04T09:31:40.8696597Z inductor/test_loop_ordering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_loop_ordering_1.1_e823a55d77e03dda_.log
2025-12-04T09:31:40.8697374Z 
2025-12-04T09:31:40.8697704Z Finished inductor/test_loop_ordering 1/1 ... [2025-12-04 09:31:40.869301][2555.521758914], took 0.13min
2025-12-04T09:31:42.4265743Z 
2025-12-04T09:31:42.4267317Z inductor/test_lookup_table 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_lookup_table_1.1_38d99bd5847c3e3b_.log
2025-12-04T09:31:42.4268692Z 
2025-12-04T09:31:42.4269192Z Finished inductor/test_lookup_table 1/1 ... [2025-12-04 09:31:42.426319][2557.078779939], took 0.15min
2025-12-04T09:31:44.4381579Z Running inductor/test_inplace_padding 1/1 ... [2025-12-04 09:31:44.437743][2559.090200486]
2025-12-04T09:31:44.4382146Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:44.4385098Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inplace_padding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:44.438207]
2025-12-04T09:31:45.7172911Z 
2025-12-04T09:31:45.7174282Z 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_f41ac0d4546cb768_.log
2025-12-04T09:31:45.7175728Z 
2025-12-04T09:31:45.7176304Z Finished inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 09:31:45.717062][2560.3695174], took 0.13min
2025-12-04T09:31:45.9180884Z Running inductor/test_triton_wrapper 1/1 ... [2025-12-04 09:31:45.917700][2560.570156258]
2025-12-04T09:31:45.9181434Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:45.9185008Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_wrapper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:45.918198]
2025-12-04T09:31:49.2253460Z Running inductor/test_control_deps 1/1 ... [2025-12-04 09:31:49.224921][2563.877379348]
2025-12-04T09:31:49.2254370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:49.2257250Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:49.225357]
2025-12-04T09:31:52.3169994Z 
2025-12-04T09:31:52.3171300Z inductor/test_inplace_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplace_padding_1.1_c28963fca83d2304_.log
2025-12-04T09:31:52.3172131Z 
2025-12-04T09:31:52.3172543Z Finished inductor/test_inplace_padding 1/1 ... [2025-12-04 09:31:52.316733][2566.969190619], took 0.13min
2025-12-04T09:31:53.6465700Z 
2025-12-04T09:31:53.6467222Z inductor/test_triton_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_wrapper_1.1_ddb991d4246af605_.log
2025-12-04T09:31:53.6468629Z 
2025-12-04T09:31:53.6469254Z Finished inductor/test_triton_wrapper 1/1 ... [2025-12-04 09:31:53.646252][2568.298712662], took 0.13min
2025-12-04T09:31:55.9381004Z Running inductor/test_op_dtype_prop 1/1 ... [2025-12-04 09:31:55.937602][2570.590059894]
2025-12-04T09:31:55.9381881Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:55.9384370Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_op_dtype_prop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:55.938052]
2025-12-04T09:31:56.7536711Z 
2025-12-04T09:31:56.7538238Z 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_0cfa10dabf011694_.log
2025-12-04T09:31:56.7539776Z 
2025-12-04T09:31:56.7540362Z Finished inductor/test_control_deps 1/1 ... [2025-12-04 09:31:56.753431][2571.405891247], took 0.13min
2025-12-04T09:31:57.1943612Z Running inductor/test_inplacing_pass 1/1 ... [2025-12-04 09:31:57.193930][2571.846388969]
2025-12-04T09:31:57.1944495Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:57.1947929Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inplacing_pass.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:57.194418]
2025-12-04T09:32:00.2799318Z Running inductor/test_split_cat_fx_passes 1/1 ... [2025-12-04 09:32:00.279510][2574.931969145]
2025-12-04T09:32:00.2800348Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:00.2803287Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:00.279953]
2025-12-04T09:32:04.6688845Z 
2025-12-04T09:32:04.6690229Z inductor/test_op_dtype_prop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_op_dtype_prop_1.1_2fd2370c8328ca3b_.log
2025-12-04T09:32:04.6691555Z 
2025-12-04T09:32:04.6692104Z Finished inductor/test_op_dtype_prop 1/1 ... [2025-12-04 09:32:04.668593][2579.321053974], took 0.15min
2025-12-04T09:32:06.1253110Z 
2025-12-04T09:32:06.1254658Z inductor/test_inplacing_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplacing_pass_1.1_680780c7499a4dd4_.log
2025-12-04T09:32:06.1256123Z 
2025-12-04T09:32:06.1256724Z Finished inductor/test_inplacing_pass 1/1 ... [2025-12-04 09:32:06.124999][2580.777456875], took 0.15min
2025-12-04T09:32:08.0586083Z 
2025-12-04T09:32:08.0587735Z 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_413ed05ce67b5f05_.log
2025-12-04T09:32:08.0589164Z 
2025-12-04T09:32:08.0589763Z Finished inductor/test_split_cat_fx_passes 1/1 ... [2025-12-04 09:32:08.058364][2582.710822024], took 0.13min
2025-12-04T09:32:08.2776692Z Running inductor/test_memory_planning 1/1 ... [2025-12-04 09:32:08.277226][2582.929683165]
2025-12-04T09:32:08.2777572Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:08.2781228Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_memory_planning.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:08.277745]
2025-12-04T09:32:09.6931657Z Running inductor/test_memory 1/1 ... [2025-12-04 09:32:09.692756][2584.345215677]
2025-12-04T09:32:09.6932561Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:09.6936543Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_memory.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:09.693227]
2025-12-04T09:32:11.6113918Z Running inductor/test_dependencies 1/1 ... [2025-12-04 09:32:11.610980][2586.263438698]
2025-12-04T09:32:11.6114707Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:11.6118902Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:11.611487]
2025-12-04T09:32:16.2562204Z 
2025-12-04T09:32:16.2563738Z inductor/test_memory_planning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_planning_1.1_30bdc6dbf8a0e3ff_.log
2025-12-04T09:32:16.2565131Z 
2025-12-04T09:32:16.2565758Z Finished inductor/test_memory_planning 1/1 ... [2025-12-04 09:32:16.255958][2590.908415669], took 0.13min
2025-12-04T09:32:17.3215337Z 
2025-12-04T09:32:17.3216636Z inductor/test_memory 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_1.1_ea2da67370bed4dc_.log
2025-12-04T09:32:17.3217809Z 
2025-12-04T09:32:17.3218283Z Finished inductor/test_memory 1/1 ... [2025-12-04 09:32:17.321174][2591.973632348], took 0.13min
2025-12-04T09:32:19.2400378Z 
2025-12-04T09:32:19.2401747Z inductor/test_dependencies 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_dependencies_1.1_1ee0223fb21bcb5d_.log
2025-12-04T09:32:19.2403026Z 
2025-12-04T09:32:19.2403568Z Finished inductor/test_dependencies 1/1 ... [2025-12-04 09:32:19.239772][2593.892233037], took 0.13min
2025-12-04T09:32:19.8839207Z Running inductor/test_mix_order_reduction 1/1 ... [2025-12-04 09:32:19.883510][2594.535969908]
2025-12-04T09:32:19.8840211Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:19.8843291Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mix_order_reduction.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:19.883972]
2025-12-04T09:32:20.8872074Z Running dynamo/test_cudagraphs 1/1 ... [2025-12-04 09:32:20.886761][2595.539220465]
2025-12-04T09:32:20.8872631Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:20.8875711Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_cudagraphs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:20.887234]
2025-12-04T09:32:22.7327438Z Running inductor/test_needs_exact_strides 1/1 ... [2025-12-04 09:32:22.732235][2597.384694484]
2025-12-04T09:32:22.7328403Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:22.7330839Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:22.732690]
2025-12-04T09:32:24.1572024Z 
2025-12-04T09:32:24.1573752Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_8c8b9269cc98a80d_.log
2025-12-04T09:32:24.1575081Z 
2025-12-04T09:32:24.1575820Z Finished dynamo/test_cudagraphs 1/1 ... [2025-12-04 09:32:24.156936][2598.809396905], took 0.05min
2025-12-04T09:32:27.4622106Z 
2025-12-04T09:32:27.4624207Z inductor/test_mix_order_reduction 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mix_order_reduction_1.1_ce4f2e426ecf43f7_.log
2025-12-04T09:32:27.4625036Z 
2025-12-04T09:32:27.4625382Z Finished inductor/test_mix_order_reduction 1/1 ... [2025-12-04 09:32:27.461955][2602.114403447], took 0.13min
2025-12-04T09:32:27.6688154Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 09:32:27.668392][2602.320849808]
2025-12-04T09:32:27.6689079Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:27.6691708Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:27.668834]
2025-12-04T09:32:30.3608925Z 
2025-12-04T09:32:30.3610407Z 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_009fc6464d68eccd_.log
2025-12-04T09:32:30.3611206Z 
2025-12-04T09:32:30.3611547Z Finished inductor/test_needs_exact_strides 1/1 ... [2025-12-04 09:32:30.360652][2605.013110679], took 0.13min
2025-12-04T09:32:31.0082743Z Running inductor/test_mps_basic 1/1 ... [2025-12-04 09:32:31.007854][2605.660313371]
2025-12-04T09:32:31.0083672Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:31.0086715Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mps_basic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:31.008308]
2025-12-04T09:32:33.8998803Z Running inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-12-04 09:32:33.899436][2608.551895339]
2025-12-04T09:32:33.8999829Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:33.9003750Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudagraph_trees_expandable_segments.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:33.899950]
2025-12-04T09:32:35.2479662Z 
2025-12-04T09:32:35.2480916Z 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_8b26ec3ec7c1c525_.log
2025-12-04T09:32:35.2481683Z 
2025-12-04T09:32:35.2481989Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 09:32:35.247695][2609.900155127], took 0.13min
2025-12-04T09:32:38.8648283Z Running xpu/test_fusion 1/1 ... [2025-12-04 09:32:38.864420][2613.516878502]
2025-12-04T09:32:38.8649032Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:38.8652307Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:38.864907]
2025-12-04T09:32:39.0862752Z 
2025-12-04T09:32:39.0864295Z inductor/test_mps_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mps_basic_1.1_492ab7392627e317_.log
2025-12-04T09:32:39.0865617Z 
2025-12-04T09:32:39.0866167Z Finished inductor/test_mps_basic 1/1 ... [2025-12-04 09:32:39.086008][2613.738468053], took 0.13min
2025-12-04T09:32:41.5278154Z 
2025-12-04T09:32:41.5280021Z inductor/test_cudagraph_trees_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_expandable_segments_1.1_53675b1b901b67d8_.log
2025-12-04T09:32:41.5281750Z 
2025-12-04T09:32:41.5282869Z Finished inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-12-04 09:32:41.527528][2616.179987033], took 0.13min
2025-12-04T09:32:42.4357725Z 
2025-12-04T09:32:42.4359021Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_6966281cc9629fbd_.log
2025-12-04T09:32:42.4360351Z Running 0 items in this shard:
2025-12-04T09:32:42.4360700Z 
2025-12-04T09:32:42.4361179Z Finished xpu/test_fusion 1/1 ... [2025-12-04 09:32:42.435465][2617.087922561], took 0.06min
2025-12-04T09:32:42.4520634Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-59a87e7579510192.xml
2025-12-04T09:32:42.7122107Z Running test_matmul_cuda 1/1 ... [2025-12-04 09:32:42.711802][2617.364260184]
2025-12-04T09:32:42.7122812Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:42.7126970Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_matmul_cuda.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:42.712306]
2025-12-04T09:32:45.0703402Z Running functorch/test_minifier 1/1 ... [2025-12-04 09:32:45.069902][2619.722361079]
2025-12-04T09:32:45.0703936Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:45.0706883Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_minifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:45.070348]
2025-12-04T09:32:45.9857349Z Running higher_order_ops/test_invoke_quant 1/1 ... [2025-12-04 09:32:45.985372][2620.637828391]
2025-12-04T09:32:45.9857913Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:45.9861704Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_invoke_quant.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:45.985842]
2025-12-04T09:32:48.6916571Z 
2025-12-04T09:32:48.6917930Z functorch/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_minifier_1.1_c7b45bde62dd765f_.log
2025-12-04T09:32:48.6919349Z Running 0 items in this shard:
2025-12-04T09:32:48.6919664Z 
2025-12-04T09:32:48.6920223Z Finished functorch/test_minifier 1/1 ... [2025-12-04 09:32:48.691400][2623.343857044], took 0.06min
2025-12-04T09:32:48.7222847Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_minifier/functorch.test_minifier-6a580c5591a79b96.xml
2025-12-04T09:32:50.3900237Z 
2025-12-04T09:32:50.3902140Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_bc32db9968c2580d_.log
2025-12-04T09:32:50.3903504Z Running 0 items in this shard:
2025-12-04T09:32:50.3903845Z 
2025-12-04T09:32:50.3904271Z Finished test_matmul_cuda 1/1 ... [2025-12-04 09:32:50.389959][2625.042405101], took 0.13min
2025-12-04T09:32:50.4160445Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_matmul_cuda/test_matmul_cuda-88eea6549008b5ff.xml
2025-12-04T09:32:52.2664113Z Running torch_np/test_basic 1/1 ... [2025-12-04 09:32:52.265993][2626.918450178]
2025-12-04T09:32:52.2665449Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:52.2669175Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_basic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:52.266501]
2025-12-04T09:32:53.6643733Z 
2025-12-04T09:32:53.6645507Z higher_order_ops/test_invoke_quant 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_quant_1.1_49b97a9ce96da946_.log
2025-12-04T09:32:53.6647023Z Running 0 items in this shard:
2025-12-04T09:32:53.6647213Z 
2025-12-04T09:32:53.6647565Z Finished higher_order_ops/test_invoke_quant 1/1 ... [2025-12-04 09:32:53.664306][2628.316762672], took 0.13min
2025-12-04T09:32:53.6923463Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_quant/higher_order_ops.test_invoke_quant-873284a8a2b05573.xml
2025-12-04T09:32:53.9851789Z Running test_jiterator 1/1 ... [2025-12-04 09:32:53.984745][2628.637203533]
2025-12-04T09:32:53.9852297Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:53.9855523Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jiterator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:53.985200]
2025-12-04T09:32:56.6883826Z 
2025-12-04T09:32:56.6885071Z torch_np/test_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_basic_1.1_f5a4dc7a88e3e0de_.log
2025-12-04T09:32:56.6885903Z Running 0 items in this shard:
2025-12-04T09:32:56.6886135Z 
2025-12-04T09:32:56.6886539Z Finished torch_np/test_basic 1/1 ... [2025-12-04 09:32:56.688284][2631.340740567], took 0.07min
2025-12-04T09:32:56.7055689Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_basic/torch_np.test_basic-8374ee49d8b9dc23.xml
2025-12-04T09:32:57.2160620Z Running test_native_functions 1/1 ... [2025-12-04 09:32:57.215610][2631.868065844]
2025-12-04T09:32:57.2161504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:57.2164954Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_native_functions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:57.216129]
2025-12-04T09:32:57.6066434Z 
2025-12-04T09:32:57.6067387Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_e1aeeb3ea498afd2_.log
2025-12-04T09:32:57.6068172Z Running 0 items in this shard:
2025-12-04T09:32:57.6068398Z 
2025-12-04T09:32:57.6068681Z Finished test_jiterator 1/1 ... [2025-12-04 09:32:57.606462][2632.258922061], took 0.06min
2025-12-04T09:32:57.6356183Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jiterator/test_jiterator-132fd6a04865c897.xml
2025-12-04T09:33:00.3174499Z Running test_typing 1/1 ... [2025-12-04 09:33:00.317031][2634.969489894]
2025-12-04T09:33:00.3175487Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:00.3180162Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_typing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:00.317515]
2025-12-04T09:33:00.3859890Z 
2025-12-04T09:33:00.3861951Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_1d58e06bc42a9d7a_.log
2025-12-04T09:33:00.3863080Z Running 0 items in this shard:
2025-12-04T09:33:00.3863272Z 
2025-12-04T09:33:00.3863558Z Finished test_native_functions 1/1 ... [2025-12-04 09:33:00.385871][2635.038326854], took 0.05min
2025-12-04T09:33:00.4038429Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_functions/test_native_functions-6976b187d1603f77.xml
2025-12-04T09:33:01.1821446Z Running higher_order_ops/test_with_effects 1/1 ... [2025-12-04 09:33:01.181712][2635.834169715]
2025-12-04T09:33:01.1822121Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:01.1824775Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_with_effects.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:01.182144]
2025-12-04T09:33:03.5881035Z 
2025-12-04T09:33:03.5882441Z test_typing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_typing_1.1_47d3f8a560e9964d_.log
2025-12-04T09:33:03.5883739Z Running 0 items in this shard:
2025-12-04T09:33:03.5884074Z 
2025-12-04T09:33:03.5884497Z Finished test_typing 1/1 ... [2025-12-04 09:33:03.588057][2638.240513662], took 0.05min
2025-12-04T09:33:03.6163244Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_typing/test_typing-79c5c541b1a02ced.xml
2025-12-04T09:33:03.9121455Z Running higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 09:33:03.911764][2638.564223611]
2025-12-04T09:33:03.9122099Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:03.9125561Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_invoke_subgraph.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:03.912249]
2025-12-04T09:33:05.4537896Z 
2025-12-04T09:33:05.4539822Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_7260e945d7a24255_.log
2025-12-04T09:33:05.4540807Z Running 0 items in this shard:
2025-12-04T09:33:05.4541066Z 
2025-12-04T09:33:05.4541457Z Finished higher_order_ops/test_with_effects 1/1 ... [2025-12-04 09:33:05.453645][2640.106102332], took 0.07min
2025-12-04T09:33:05.4846361Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_with_effects/higher_order_ops.test_with_effects-735b114a4b9233b1.xml
2025-12-04T09:33:07.2033498Z Running test_weak 1/1 ... [2025-12-04 09:33:07.202841][2641.85529791]
2025-12-04T09:33:07.2034299Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:07.2036769Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_weak.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:07.203316]
2025-12-04T09:33:08.9851411Z Running test_decomp 1/6 ... [2025-12-04 09:33:08.984733][2643.637192562]
2025-12-04T09:33:08.9852337Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:08.9855678Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:08.985187]
2025-12-04T09:33:10.5239207Z 
2025-12-04T09:33:10.5240330Z test_weak 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_weak_1.1_8ef0e5cce4375d47_.log
2025-12-04T09:33:10.5241476Z Running 0 items in this shard:
2025-12-04T09:33:10.5242149Z 
2025-12-04T09:33:10.5242490Z Finished test_weak 1/1 ... [2025-12-04 09:33:10.523587][2645.176045933], took 0.06min
2025-12-04T09:33:10.5550724Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_weak/test_weak-c1662a8a986654a1.xml
2025-12-04T09:33:11.7909335Z 
2025-12-04T09:33:11.7911604Z higher_order_ops/test_invoke_subgraph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_595e9d40315a111c_.log
2025-12-04T09:33:11.7956036Z Running 50 items in this shard: test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module
2025-12-04T09:33:11.7999836Z 
2025-12-04T09:33:11.8000497Z Finished higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 09:33:11.791011][2646.443466852], took 0.13min
2025-12-04T09:33:11.8091567Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-09568254f72e1ed6.xml
2025-12-04T09:33:14.0248356Z Running test_decomp 3/6 ... [2025-12-04 09:33:14.024367][2648.676826191]
2025-12-04T09:33:14.0248952Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:14.0250640Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=3', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:14.024798]
2025-12-04T09:33:15.3061091Z Running test_decomp 5/6 ... [2025-12-04 09:33:15.305690][2649.958149163]
2025-12-04T09:33:15.3061815Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:15.3065637Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=5', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:15.306173]
2025-12-04T09:33:30.0825305Z 
2025-12-04T09:33:30.0826625Z test_decomp 1/6 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_1.6_f80d1283a8fc79e6_.log
2025-12-04T09:33:30.0827814Z Running 0 items in this shard:
2025-12-04T09:33:30.0828021Z 
2025-12-04T09:33:30.0828281Z Finished test_decomp 1/6 ... [2025-12-04 09:33:30.082459][2664.734916453], took 0.35min
2025-12-04T09:33:30.1119476Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-ba74afdf355759c2.xml
2025-12-04T09:33:33.4148652Z Running test_complex 1/1 ... [2025-12-04 09:33:33.414444][2668.066900819]
2025-12-04T09:33:33.4149157Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:33.4152414Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_complex.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:33.414941]
2025-12-04T09:33:35.0735841Z 
2025-12-04T09:33:35.0737185Z test_decomp 3/6 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_3.6_7477ca42a6bb82e2_.log
2025-12-04T09:33:35.0738487Z Running 0 items in this shard:
2025-12-04T09:33:35.0738858Z 
2025-12-04T09:33:35.0739181Z Finished test_decomp 3/6 ... [2025-12-04 09:33:35.073476][2669.725932128], took 0.35min
2025-12-04T09:33:35.1037817Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-28b00c787eb067f2.xml
2025-12-04T09:33:35.1297799Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-004deb33145d883b.xml
2025-12-04T09:33:36.3024472Z 
2025-12-04T09:33:36.3025654Z test_decomp 5/6 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_5.6_8af6e7a34c8a0dd1_.log
2025-12-04T09:33:36.3026460Z Running 0 items in this shard:
2025-12-04T09:33:36.3026688Z 
2025-12-04T09:33:36.3026943Z Finished test_decomp 5/6 ... [2025-12-04 09:33:36.302353][2670.95481226], took 0.35min
2025-12-04T09:33:36.3329806Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_complex/test_complex-23ae46b3fe489bb3.xml
2025-12-04T09:33:36.9359209Z 
2025-12-04T09:33:36.9360704Z test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_complex_1.1_5c03277c99dbfe66_.log
2025-12-04T09:33:36.9361761Z Running 0 items in this shard:
2025-12-04T09:33:36.9362047Z 
2025-12-04T09:33:36.9362424Z Finished test_complex 1/1 ... [2025-12-04 09:33:36.935835][2671.588292179], took 0.06min
2025-12-04T09:33:38.6724464Z Running test_optim 1/1 ... [2025-12-04 09:33:38.672062][2673.324521658]
2025-12-04T09:33:38.6725321Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:38.6729283Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_optim.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:38.672540]
2025-12-04T09:33:39.9052933Z Running lazy/test_functionalization 1/1 ... [2025-12-04 09:33:39.904853][2674.557310587]
2025-12-04T09:33:39.9053921Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:39.9057188Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_functionalization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:39.905336]
2025-12-04T09:33:40.5658093Z Running torch_np/test_random 1/1 ... [2025-12-04 09:33:40.565417][2675.217876376]
2025-12-04T09:33:40.5658686Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:40.5661677Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_random.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:40.565845]
2025-12-04T09:33:43.0754455Z 
2025-12-04T09:33:43.0756371Z lazy/test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_functionalization_1.1_cd52fa00602da54c_.log
2025-12-04T09:33:43.0758015Z Running 0 items in this shard:
2025-12-04T09:33:43.0758371Z 
2025-12-04T09:33:43.0758992Z Finished lazy/test_functionalization 1/1 ... [2025-12-04 09:33:43.075402][2677.727858429], took 0.05min
2025-12-04T09:33:43.0955737Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_functionalization/lazy.test_functionalization-b52cb019e8eae58c.xml
2025-12-04T09:33:43.7365467Z 
2025-12-04T09:33:43.7366705Z torch_np/test_random 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_random_1.1_b38b050ad265a8de_.log
2025-12-04T09:33:43.7368286Z Running 0 items in this shard:
2025-12-04T09:33:43.7368571Z 
2025-12-04T09:33:43.7369014Z Finished torch_np/test_random 1/1 ... [2025-12-04 09:33:43.736496][2678.388952841], took 0.05min
2025-12-04T09:33:43.7722416Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_random/torch_np.test_random-0a5cc8b04b52b156.xml
2025-12-04T09:33:45.2983496Z 
2025-12-04T09:33:45.2984783Z test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_optim_1.1_989e8d84cd775f18_.log
2025-12-04T09:33:45.2986081Z Running 0 items in this shard:
2025-12-04T09:33:45.2986437Z 
2025-12-04T09:33:45.2986889Z Finished test_optim 1/1 ... [2025-12-04 09:33:45.298146][2679.950604573], took 0.11min
2025-12-04T09:33:45.3180920Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_optim/test_optim-11f5c77cd98909fe.xml
2025-12-04T09:33:46.6730740Z Running nn/test_multihead_attention 1/1 ... [2025-12-04 09:33:46.672702][2681.325161445]
2025-12-04T09:33:46.6731652Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:46.6735579Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_multihead_attention.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:46.673143]
2025-12-04T09:33:47.2277562Z Running test_legacy_vmap 1/1 ... [2025-12-04 09:33:47.227307][2681.879766523]
2025-12-04T09:33:47.2278342Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:47.2281681Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_legacy_vmap.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:47.227806]
2025-12-04T09:33:48.7725572Z Running lazy/test_bindings 1/1 ... [2025-12-04 09:33:48.772126][2683.424584862]
2025-12-04T09:33:48.7726078Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:48.7729615Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_bindings.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:48.772637]
2025-12-04T09:33:50.2431076Z 
2025-12-04T09:33:50.2432554Z nn/test_multihead_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_multihead_attention_1.1_3496aa6074e2608f_.log
2025-12-04T09:33:50.2433465Z Running 0 items in this shard:
2025-12-04T09:33:50.2433656Z 
2025-12-04T09:33:50.2434034Z Finished nn/test_multihead_attention 1/1 ... [2025-12-04 09:33:50.242976][2684.895434766], took 0.06min
2025-12-04T09:33:50.2792223Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_multihead_attention/nn.test_multihead_attention-6c5b88747fada987.xml
2025-12-04T09:33:50.3106149Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_legacy_vmap/test_legacy_vmap-7c5422050feaa959.xml
2025-12-04T09:33:50.8981790Z 
2025-12-04T09:33:50.8982965Z test_legacy_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_legacy_vmap_1.1_fc674f71f8aa911f_.log
2025-12-04T09:33:50.8983765Z Running 0 items in this shard:
2025-12-04T09:33:50.8983966Z 
2025-12-04T09:33:50.8984281Z Finished test_legacy_vmap 1/1 ... [2025-12-04 09:33:50.898116][2685.550574083], took 0.06min
2025-12-04T09:33:51.9428675Z 
2025-12-04T09:33:51.9430530Z lazy/test_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_bindings_1.1_58f9e63e330322e7_.log
2025-12-04T09:33:51.9433605Z Running 0 items in this shard:
2025-12-04T09:33:51.9434045Z 
2025-12-04T09:33:51.9434694Z Finished lazy/test_bindings 1/1 ... [2025-12-04 09:33:51.943137][2686.595589918], took 0.05min
2025-12-04T09:33:51.9784245Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_bindings/lazy.test_bindings-bc9b600df421998e.xml
2025-12-04T09:33:53.7984166Z Running test_pytree 1/1 ... [2025-12-04 09:33:53.798017][2688.450474915]
2025-12-04T09:33:53.7984901Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:53.7988103Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_pytree.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:53.798472]
2025-12-04T09:33:54.4684436Z Running profiler/test_record_function 1/1 ... [2025-12-04 09:33:54.467982][2689.120439537]
2025-12-04T09:33:54.4685509Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:54.4688337Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_record_function.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:54.468460]
2025-12-04T09:33:55.4661708Z Running test_compile_benchmark_util 1/1 ... [2025-12-04 09:33:55.465728][2690.118187179]
2025-12-04T09:33:55.4662609Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:55.4665668Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_compile_benchmark_util.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:55.466226]
2025-12-04T09:33:57.2690107Z 
2025-12-04T09:33:57.2691486Z test_pytree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pytree_1.1_3bb867ac64c47f6a_.log
2025-12-04T09:33:57.2692808Z Running 0 items in this shard:
2025-12-04T09:33:57.2693170Z 
2025-12-04T09:33:57.2693660Z Finished test_pytree 1/1 ... [2025-12-04 09:33:57.268940][2691.921397179], took 0.06min
2025-12-04T09:33:57.3036318Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_pytree/test_pytree-ef35e63934e785e9.xml
2025-12-04T09:33:57.3295592Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_record_function/profiler.test_record_function-55682f6d2826fc7c.xml
2025-12-04T09:33:57.6884786Z 
2025-12-04T09:33:57.6886025Z profiler/test_record_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_record_function_1.1_8d3a42d0f612948f_.log
2025-12-04T09:33:57.6887335Z Running 0 items in this shard:
2025-12-04T09:33:57.6887609Z 
2025-12-04T09:33:57.6887935Z Finished profiler/test_record_function 1/1 ... [2025-12-04 09:33:57.688401][2692.34085932], took 0.05min
2025-12-04T09:33:58.9876484Z 
2025-12-04T09:33:58.9878069Z test_compile_benchmark_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_compile_benchmark_util_1.1_4848b41d4d847d6d_.log
2025-12-04T09:33:58.9879019Z Running 0 items in this shard:
2025-12-04T09:33:58.9879225Z 
2025-12-04T09:33:58.9879585Z Finished test_compile_benchmark_util 1/1 ... [2025-12-04 09:33:58.987616][2693.640074349], took 0.06min
2025-12-04T09:33:59.0090387Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_compile_benchmark_util/test_compile_benchmark_util-21b16b6b432b879d.xml
2025-12-04T09:34:00.8552586Z Running test_set_default_mobile_cpu_allocator 1/1 ... [2025-12-04 09:34:00.854823][2695.507282293]
2025-12-04T09:34:00.8553882Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:00.8557234Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:00.855312]
2025-12-04T09:34:01.3161653Z Running test_stateless 1/1 ... [2025-12-04 09:34:01.315789][2695.96824888]
2025-12-04T09:34:01.3162147Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:01.3165360Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_stateless.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:01.316242]
2025-12-04T09:34:02.6123936Z Running functorch/test_ac 1/1 ... [2025-12-04 09:34:02.611980][2697.264439648]
2025-12-04T09:34:02.6124758Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:02.6128291Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:02.612447]
2025-12-04T09:34:04.0759832Z 
2025-12-04T09:34:04.0761364Z test_set_default_mobile_cpu_allocator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_set_default_mobile_cpu_allocator_1.1_7ecfc726c8e90bba_.log
2025-12-04T09:34:04.0762370Z Running 0 items in this shard:
2025-12-04T09:34:04.0762627Z 
2025-12-04T09:34:04.0762981Z Finished test_set_default_mobile_cpu_allocator 1/1 ... [2025-12-04 09:34:04.075857][2698.728313227], took 0.05min
2025-12-04T09:34:04.1096660Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_set_default_mobile_cpu_allocator/test_set_default_mobile_cpu_allocator-fde8c1bcc291aead.xml
2025-12-04T09:34:04.9374106Z 
2025-12-04T09:34:04.9375256Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_341a4e1c74abd0ba_.log
2025-12-04T09:34:04.9376584Z Running 0 items in this shard:
2025-12-04T09:34:04.9376922Z 
2025-12-04T09:34:04.9379915Z Finished test_stateless 1/1 ... [2025-12-04 09:34:04.937312][2699.589769204], took 0.06min
2025-12-04T09:34:04.9723434Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_stateless/test_stateless-1789b36c346ea7d7.xml
2025-12-04T09:34:07.6580402Z Running test_binary_ufuncs 1/1 ... [2025-12-04 09:34:07.657604][2702.310062105]
2025-12-04T09:34:07.6581193Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:07.6585032Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_binary_ufuncs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:07.658108]
2025-12-04T09:34:08.5919637Z Running higher_order_ops/test_print 1/1 ... [2025-12-04 09:34:08.591565][2703.244023677]
2025-12-04T09:34:08.5920198Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:08.5923500Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_print.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:08.592030]
2025-12-04T09:34:10.0398265Z 
2025-12-04T09:34:10.0399766Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_df88234e28facf81_.log
2025-12-04T09:34:10.0401452Z 
2025-12-04T09:34:10.0401918Z Finished functorch/test_ac 1/1 ... [2025-12-04 09:34:10.039533][2704.691993788], took 0.12min
2025-12-04T09:34:12.0628211Z 
2025-12-04T09:34:12.0629813Z higher_order_ops/test_print 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_print_1.1_4d91b9bb1a373549_.log
2025-12-04T09:34:12.0631862Z Running 0 items in this shard:
2025-12-04T09:34:12.0632264Z 
2025-12-04T09:34:12.0632843Z Finished higher_order_ops/test_print 1/1 ... [2025-12-04 09:34:12.062831][2706.7152878], took 0.06min
2025-12-04T09:34:12.0844713Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_print/higher_order_ops.test_print-bf957113aba05ed9.xml
2025-12-04T09:34:13.5499151Z Running test_per_overload_api 1/1 ... [2025-12-04 09:34:13.549475][2708.20193504]
2025-12-04T09:34:13.5500228Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:13.5503282Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_per_overload_api.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:13.549949]
2025-12-04T09:34:15.5384087Z Running torch_np/numpy_tests/core/test_einsum 1/1 ... [2025-12-04 09:34:15.537944][2710.190401473]
2025-12-04T09:34:15.5385178Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:15.5388151Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_einsum.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:15.538430]
2025-12-04T09:34:16.7204744Z 
2025-12-04T09:34:16.7206048Z test_per_overload_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_per_overload_api_1.1_b26a1c18270c5ed6_.log
2025-12-04T09:34:16.7207353Z Running 0 items in this shard:
2025-12-04T09:34:16.7207687Z 
2025-12-04T09:34:16.7208055Z Finished test_per_overload_api 1/1 ... [2025-12-04 09:34:16.720415][2711.37287187], took 0.05min
2025-12-04T09:34:16.7558307Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_per_overload_api/test_per_overload_api-e7785f1373536d59.xml
2025-12-04T09:34:18.8084469Z 
2025-12-04T09:34:18.8086160Z torch_np/numpy_tests/core/test_einsum 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_einsum_1.1_01d5687bfb332b84_.log
2025-12-04T09:34:18.8087092Z Running 0 items in this shard:
2025-12-04T09:34:18.8087297Z 
2025-12-04T09:34:18.8087691Z Finished torch_np/numpy_tests/core/test_einsum 1/1 ... [2025-12-04 09:34:18.808373][2713.460831012], took 0.05min
2025-12-04T09:34:18.8484420Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_einsum/torch_np.numpy_tests.core.test_einsum-1f76da553591f55e.xml
2025-12-04T09:34:20.2166875Z Running test_out_dtype_op 1/1 ... [2025-12-04 09:34:20.216213][2714.868671298]
2025-12-04T09:34:20.2167752Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:20.2170200Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_out_dtype_op.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:20.216665]
2025-12-04T09:34:22.2609609Z Running torch_np/test_ufuncs_basic 1/1 ... [2025-12-04 09:34:22.260545][2716.913004612]
2025-12-04T09:34:22.2610605Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:22.2613877Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_ufuncs_basic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:22.260992]
2025-12-04T09:34:23.9370451Z 
2025-12-04T09:34:23.9372431Z test_out_dtype_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_out_dtype_op_1.1_92d8c3f72187a10e_.log
2025-12-04T09:34:23.9373520Z Running 0 items in this shard:
2025-12-04T09:34:23.9373710Z 
2025-12-04T09:34:23.9373978Z Finished test_out_dtype_op 1/1 ... [2025-12-04 09:34:23.936978][2718.589434233], took 0.06min
2025-12-04T09:34:23.9774612Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_out_dtype_op/test_out_dtype_op-1cd516c3a98b6cb2.xml
2025-12-04T09:34:26.0320745Z 
2025-12-04T09:34:26.0322255Z torch_np/test_ufuncs_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ufuncs_basic_1.1_c38931d899ab6c5b_.log
2025-12-04T09:34:26.0323494Z Running 0 items in this shard:
2025-12-04T09:34:26.0323781Z 
2025-12-04T09:34:26.0324231Z Finished torch_np/test_ufuncs_basic 1/1 ... [2025-12-04 09:34:26.032022][2720.684480747], took 0.06min
2025-12-04T09:34:26.0545917Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_ufuncs_basic/torch_np.test_ufuncs_basic-5a7fcb6c5e697922.xml
2025-12-04T09:34:27.3349664Z Running lazy/test_step_closures 1/1 ... [2025-12-04 09:34:27.334502][2721.986961161]
2025-12-04T09:34:27.3350623Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:27.3353953Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_step_closures.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:27.335015]
2025-12-04T09:34:29.4052322Z Running functorch/dim/test_getsetitem 1/1 ... [2025-12-04 09:34:29.404819][2724.05727868]
2025-12-04T09:34:29.4053208Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:29.4056525Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/dim/test_getsetitem.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:29.405274]
2025-12-04T09:34:30.4554243Z 
2025-12-04T09:34:30.4555861Z lazy/test_step_closures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_step_closures_1.1_890e0966fa9c2301_.log
2025-12-04T09:34:30.4557148Z Running 0 items in this shard:
2025-12-04T09:34:30.4557448Z 
2025-12-04T09:34:30.4558045Z Finished lazy/test_step_closures 1/1 ... [2025-12-04 09:34:30.455334][2725.107791252], took 0.05min
2025-12-04T09:34:30.4908821Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_step_closures/lazy.test_step_closures-ff64168d92341861.xml
2025-12-04T09:34:32.5258578Z 
2025-12-04T09:34:32.5260140Z functorch/dim/test_getsetitem 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.dim.test_getsetitem_1.1_060d0f1c397e5f20_.log
2025-12-04T09:34:32.5261535Z Running 0 items in this shard:
2025-12-04T09:34:32.5261865Z 
2025-12-04T09:34:32.5262212Z Finished functorch/dim/test_getsetitem 1/1 ... [2025-12-04 09:34:32.525830][2727.178288785], took 0.05min
2025-12-04T09:34:32.5668954Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.dim.test_getsetitem/functorch.dim.test_getsetitem-a4c50215cc14fd11.xml
2025-12-04T09:34:33.9173843Z Running test_ops_fwd_gradients 1/1 ... [2025-12-04 09:34:33.916986][2728.56944597]
2025-12-04T09:34:33.9174358Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:33.9178772Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:33.917453]
2025-12-04T09:34:36.0651764Z Running test_meta 1/1 ... [2025-12-04 09:34:36.064735][2730.717194058]
2025-12-04T09:34:36.0652818Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:36.0655861Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_meta.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:36.065222]
2025-12-04T09:34:37.2729370Z 
2025-12-04T09:34:37.2730771Z test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_binary_ufuncs_1.1_84b1da047d1d2099_.log
2025-12-04T09:34:37.2731566Z Running 0 items in this shard:
2025-12-04T09:34:37.2731771Z 
2025-12-04T09:34:37.2732036Z Finished test_binary_ufuncs 1/1 ... [2025-12-04 09:34:37.272903][2731.925359913], took 0.49min
2025-12-04T09:34:37.3082124Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_binary_ufuncs/test_binary_ufuncs-4cdc3144a8120c8b.xml
2025-12-04T09:34:40.7278113Z Running test_ops_jit 1/1 ... [2025-12-04 09:34:40.727371][2735.379830542]
2025-12-04T09:34:40.7278593Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:40.7282278Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_jit.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:40.727819]
2025-12-04T09:34:44.6982878Z 
2025-12-04T09:34:44.6984131Z test_ops_fwd_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_1.1_1ef3e00fd0600692_.log
2025-12-04T09:34:44.6985396Z Running 0 items in this shard:
2025-12-04T09:34:44.6985678Z 
2025-12-04T09:34:44.6986154Z Finished test_ops_fwd_gradients 1/1 ... [2025-12-04 09:34:44.698181][2739.350636178], took 0.18min
2025-12-04T09:34:44.7218839Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-0202b34bd96cb21e.xml
2025-12-04T09:34:47.3529488Z 
2025-12-04T09:34:47.3531095Z test_ops_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.1_93f5cbb1617f1b7b_.log
2025-12-04T09:34:47.3532173Z Running 0 items in this shard:
2025-12-04T09:34:47.3532500Z 
2025-12-04T09:34:47.3532924Z Finished test_ops_jit 1/1 ... [2025-12-04 09:34:47.352823][2742.005279726], took 0.11min
2025-12-04T09:34:47.3769402Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-acb8191744eff0fa.xml
2025-12-04T09:34:48.1443178Z Running test_numpy_interop 1/1 ... [2025-12-04 09:34:48.143907][2742.796366029]
2025-12-04T09:34:48.1443717Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:48.1447439Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:48.144392]
2025-12-04T09:34:50.8319537Z Running profiler/test_cpp_thread 1/1 ... [2025-12-04 09:34:50.831555][2745.48401269]
2025-12-04T09:34:50.8320075Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:50.8323473Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:50.832048]
2025-12-04T09:34:51.6656794Z 
2025-12-04T09:34:51.6658455Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_138ddb8de6a9b57d_.log
2025-12-04T09:34:51.6659380Z Running 0 items in this shard:
2025-12-04T09:34:51.6660017Z 
2025-12-04T09:34:51.6660407Z Finished test_numpy_interop 1/1 ... [2025-12-04 09:34:51.665571][2746.318029914], took 0.06min
2025-12-04T09:34:51.6897205Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numpy_interop/test_numpy_interop-3646c6d0f16343fc.xml
2025-12-04T09:34:54.8534525Z 
2025-12-04T09:34:54.8536099Z 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_362a9939ab9962aa_.log
2025-12-04T09:34:54.8537254Z Running 0 items in this shard:
2025-12-04T09:34:54.8537473Z 
2025-12-04T09:34:54.8537772Z Finished profiler/test_cpp_thread 1/1 ... [2025-12-04 09:34:54.853325][2749.505780457], took 0.07min
2025-12-04T09:34:54.8929656Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_cpp_thread/profiler.test_cpp_thread-36ca1a95ccf8b55b.xml
2025-12-04T09:34:55.0969642Z Running test_ops_gradients 1/1 ... [2025-12-04 09:34:55.096538][2749.74899733]
2025-12-04T09:34:55.0970429Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:55.0973818Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:55.097025]
2025-12-04T09:34:58.4101942Z Running test_hub 1/1 ... [2025-12-04 09:34:58.409774][2753.062233104]
2025-12-04T09:34:58.4102429Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:34:58.4105532Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_hub.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:58.410234]
2025-12-04T09:35:02.1813040Z 
2025-12-04T09:35:02.1814358Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_40e3216a6a0817f0_.log
2025-12-04T09:35:02.1857924Z Running 100 items in this shard: test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes
2025-12-04T09:35:02.1900404Z 
2025-12-04T09:35:02.1900867Z Finished test_hub 1/1 ... [2025-12-04 09:35:02.181440][2756.833894485], took 0.06min
2025-12-04T09:35:02.2202338Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_hub/test_hub-7d00a83c0671e09c.xml
2025-12-04T09:35:05.5721580Z Running test_segment_reductions 1/1 ... [2025-12-04 09:35:05.571749][2760.224208679]
2025-12-04T09:35:05.5722856Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:05.5725430Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_segment_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:05.572178]
2025-12-04T09:35:09.0922891Z 
2025-12-04T09:35:09.0924362Z test_segment_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_segment_reductions_1.1_d727b36a673826ac_.log
2025-12-04T09:35:09.0925881Z Running 0 items in this shard:
2025-12-04T09:35:09.0926222Z 
2025-12-04T09:35:09.0926760Z Finished test_segment_reductions 1/1 ... [2025-12-04 09:35:09.092220][2763.744677694], took 0.06min
2025-12-04T09:35:09.1325080Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-06f6b239894bb83c.xml
2025-12-04T09:35:09.2114616Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_segment_reductions/test_segment_reductions-f2353585a1e5ade7.xml
2025-12-04T09:35:09.9861682Z 
2025-12-04T09:35:09.9863118Z test_ops_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.1_5f23363b28edfddb_.log
2025-12-04T09:35:09.9864525Z Running 0 items in this shard:
2025-12-04T09:35:09.9864870Z 
2025-12-04T09:35:09.9865378Z Finished test_ops_gradients 1/1 ... [2025-12-04 09:35:09.986036][2764.638492933], took 0.25min
2025-12-04T09:35:12.5258882Z Running test_type_hints 1/1 ... [2025-12-04 09:35:12.525509][2767.17796801]
2025-12-04T09:35:12.5259839Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:12.5263569Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_hints.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:12.525969]
2025-12-04T09:35:13.4915410Z Running functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 09:35:13.491129][2768.143587879]
2025-12-04T09:35:13.4916314Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:13.4920433Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aot_joint_with_descriptors.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:13.491631]
2025-12-04T09:35:16.0963856Z 
2025-12-04T09:35:16.0964841Z test_type_hints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_hints_1.1_df646c3a54278a7e_.log
2025-12-04T09:35:16.0988130Z Running 50 items in this shard: test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples
2025-12-04T09:35:16.1012189Z 
2025-12-04T09:35:16.1012732Z Finished test_type_hints 1/1 ... [2025-12-04 09:35:16.096259][2770.748715544], took 0.06min
2025-12-04T09:35:16.1230138Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_hints/test_type_hints-5cc636552f25366f.xml
2025-12-04T09:35:16.9619124Z 
2025-12-04T09:35:16.9620924Z 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_12cdd6cfb6bfcb5e_.log
2025-12-04T09:35:16.9622686Z Running 0 items in this shard:
2025-12-04T09:35:16.9623013Z 
2025-12-04T09:35:16.9623696Z Finished functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 09:35:16.961831][2771.6142887], took 0.06min
2025-12-04T09:35:16.9874675Z 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-537105f9e81dbe79.xml
2025-12-04T09:35:19.5380025Z Running test_nestedtensor 1/1 ... [2025-12-04 09:35:19.537565][2774.190024598]
2025-12-04T09:35:19.5380552Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:19.5383839Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:19.538036]
2025-12-04T09:35:20.4540789Z Running distributions/test_constraints 1/1 ... [2025-12-04 09:35:20.453642][2775.106100973]
2025-12-04T09:35:20.4541749Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:20.4545057Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:20.454125]
2025-12-04T09:35:24.2745647Z 
2025-12-04T09:35:24.2747706Z distributions/test_constraints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_constraints_1.1_f2a083bddce4630f_.log
2025-12-04T09:35:24.2749450Z Running 0 items in this shard:
2025-12-04T09:35:24.2749824Z 
2025-12-04T09:35:24.2750483Z Finished distributions/test_constraints 1/1 ... [2025-12-04 09:35:24.274459][2778.926917812], took 0.06min
2025-12-04T09:35:24.3157709Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_constraints/distributions.test_constraints-8962626a4c55aba9.xml
2025-12-04T09:35:27.5654988Z 
2025-12-04T09:35:27.5656352Z test_nestedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.1_08ff77e257d0da81_.log
2025-12-04T09:35:27.5697463Z Running 50 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, 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, 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, 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
2025-12-04T09:35:27.5737312Z 
2025-12-04T09:35:27.5737841Z Finished test_nestedtensor 1/1 ... [2025-12-04 09:35:27.565618][2782.218072529], took 0.13min
2025-12-04T09:35:27.6065256Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-84e6bdebe567f6ff.xml
2025-12-04T09:35:27.6456977Z Running test_linalg 1/1 ... [2025-12-04 09:35:27.645341][2782.297800475]
2025-12-04T09:35:27.6457478Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:27.6461316Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_linalg.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:27.645834]
2025-12-04T09:35:31.0489269Z Running test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:35:31.048494][2785.700953522]
2025-12-04T09:35:31.0490287Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:31.0493140Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functionalization_of_rng_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:31.048947]
2025-12-04T09:35:34.0225673Z 
2025-12-04T09:35:34.0226812Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_4343a7f49c1f1cb4_.log
2025-12-04T09:35:34.0227812Z Running 0 items in this shard:
2025-12-04T09:35:34.0228089Z 
2025-12-04T09:35:34.0228858Z Finished test_linalg 1/1 ... [2025-12-04 09:35:34.022616][2788.675075338], took 0.11min
2025-12-04T09:35:34.0610044Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_linalg/test_linalg-2073611ec6982b01.xml
2025-12-04T09:35:34.1309955Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization_of_rng_ops/test_functionalization_of_rng_ops-f03a339ee82114ae.xml
2025-12-04T09:35:34.7202488Z 
2025-12-04T09:35:34.7205325Z 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_d037bcc49f982a1b_.log
2025-12-04T09:35:34.7207218Z Running 0 items in this shard:
2025-12-04T09:35:34.7207530Z 
2025-12-04T09:35:34.7208077Z Finished test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:35:34.720168][2789.372625938], took 0.06min
2025-12-04T09:35:37.5199499Z Running test_fx_reinplace_pass 1/1 ... [2025-12-04 09:35:37.519535][2792.171991429]
2025-12-04T09:35:37.5200010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:37.5203500Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_reinplace_pass.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:37.520010]
2025-12-04T09:35:38.1862753Z Running functorch/test_control_flow 1/1 ... [2025-12-04 09:35:38.185831][2792.838290852]
2025-12-04T09:35:38.1863723Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:38.1866751Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_control_flow.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:38.186261]
2025-12-04T09:35:40.5906140Z 
2025-12-04T09:35:40.5907612Z 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_9f2422983b56402c_.log
2025-12-04T09:35:40.5909131Z Running 0 items in this shard:
2025-12-04T09:35:40.5909502Z 
2025-12-04T09:35:40.5909991Z Finished test_fx_reinplace_pass 1/1 ... [2025-12-04 09:35:40.590537][2795.242996271], took 0.05min
2025-12-04T09:35:40.6333182Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_reinplace_pass/test_fx_reinplace_pass-aa882445a5224f9a.xml
2025-12-04T09:35:44.0012655Z Running test_modules 1/1 ... [2025-12-04 09:35:44.000882][2798.65333983]
2025-12-04T09:35:44.0013396Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:44.0017266Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:44.001373]
2025-12-04T09:35:46.1630242Z 
2025-12-04T09:35:46.1631556Z 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_2c92088cbb2feb6c_.log
2025-12-04T09:35:46.1632915Z Running 0 items in this shard:
2025-12-04T09:35:46.1633185Z 
2025-12-04T09:35:46.1633661Z Finished functorch/test_control_flow 1/1 ... [2025-12-04 09:35:46.162986][2800.815441639], took 0.13min
2025-12-04T09:35:46.2044342Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_control_flow/functorch.test_control_flow-9b27161470df6fec.xml
2025-12-04T09:35:49.6744833Z Running nn/test_packed_sequence 1/1 ... [2025-12-04 09:35:49.674050][2804.326508258]
2025-12-04T09:35:49.6747679Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:49.6750178Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:49.674556]
2025-12-04T09:35:52.6944300Z 
2025-12-04T09:35:52.6945437Z 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_606b006234328f75_.log
2025-12-04T09:35:52.6946917Z Running 0 items in this shard:
2025-12-04T09:35:52.6947272Z 
2025-12-04T09:35:52.6947579Z Finished nn/test_packed_sequence 1/1 ... [2025-12-04 09:35:52.694485][2807.346941794], took 0.05min
2025-12-04T09:35:52.7216479Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_packed_sequence/nn.test_packed_sequence-dcc4c762f0261ca0.xml
2025-12-04T09:35:55.7354909Z 
2025-12-04T09:35:55.7356200Z test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_1.1_68599dcf79fdd114_.log
2025-12-04T09:35:55.7357842Z Running 0 items in this shard:
2025-12-04T09:35:55.7358232Z 
2025-12-04T09:35:55.7358673Z Finished test_modules 1/1 ... [2025-12-04 09:35:55.735232][2810.387691021], took 0.20min
2025-12-04T09:35:55.7730983Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_meta/test_meta-d10367fe856791c2.xml
2025-12-04T09:35:55.8051774Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_modules/test_modules-31fac4eb27d07342.xml
2025-12-04T09:35:56.1024710Z Running test_numa_binding 1/1 ... [2025-12-04 09:35:56.102048][2810.754506928]
2025-12-04T09:35:56.1025508Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:56.1029370Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:56.102534]
2025-12-04T09:35:59.2778404Z Running test_pruning_op 1/1 ... [2025-12-04 09:35:59.277385][2813.929844283]
2025-12-04T09:35:59.2779115Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:35:59.2782479Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:59.277882]
2025-12-04T09:35:59.3226759Z 
2025-12-04T09:35:59.3228032Z test_numa_binding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numa_binding_1.1_58b50dd277865c5a_.log
2025-12-04T09:35:59.3229286Z Running 0 items in this shard:
2025-12-04T09:35:59.3229477Z 
2025-12-04T09:35:59.3229739Z Finished test_numa_binding 1/1 ... [2025-12-04 09:35:59.322672][2813.975130388], took 0.05min
2025-12-04T09:35:59.3495548Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numa_binding/test_numa_binding-75ef2e2b55f732e7.xml
2025-12-04T09:35:59.9235930Z 
2025-12-04T09:35:59.9236985Z test_meta 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_1.1_b1c198cca627c09d_.log
2025-12-04T09:35:59.9237972Z Running 0 items in this shard:
2025-12-04T09:35:59.9238239Z 
2025-12-04T09:35:59.9238581Z Finished test_meta 1/1 ... [2025-12-04 09:35:59.923533][2814.575993105], took 1.40min
2025-12-04T09:36:02.5982930Z 
2025-12-04T09:36:02.5984245Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_db60e8287499ff0a_.log
2025-12-04T09:36:02.5985624Z Running 0 items in this shard:
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2025-12-04T09:36:02.5986458Z Finished test_pruning_op 1/1 ... [2025-12-04 09:36:02.598142][2817.25060107], took 0.06min
2025-12-04T09:36:02.6258584Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_pruning_op/test_pruning_op-8d9461e9ac34274a.xml
2025-12-04T09:36:02.9141067Z Running test_logging 1/1 ... [2025-12-04 09:36:02.913693][2817.56614858]
2025-12-04T09:36:02.9141971Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:02.9145927Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:02.914228]
2025-12-04T09:36:03.4758412Z Running nn/test_lazy_modules 1/1 ... [2025-12-04 09:36:03.475405][2818.127864137]
2025-12-04T09:36:03.4759302Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:03.4762259Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:03.475817]
2025-12-04T09:36:06.1844658Z 
2025-12-04T09:36:06.1845726Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_be7bb5d9b83f7d73_.log
2025-12-04T09:36:06.1846542Z Running 0 items in this shard:
2025-12-04T09:36:06.1846749Z 
2025-12-04T09:36:06.1846990Z Finished test_logging 1/1 ... [2025-12-04 09:36:06.184372][2820.836828241], took 0.05min
2025-12-04T09:36:06.1857546Z Running nn/test_pruning 1/1 ... [2025-12-04 09:36:06.185511][2820.837970272]
2025-12-04T09:36:06.1858016Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:06.1863303Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:06.185997]
2025-12-04T09:36:06.2296746Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_logging/test_logging-df91e4417af75ff7.xml
2025-12-04T09:36:07.1462045Z 
2025-12-04T09:36:07.1463327Z 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_2e919640719134fd_.log
2025-12-04T09:36:07.1464408Z Running 0 items in this shard:
2025-12-04T09:36:07.1464599Z 
2025-12-04T09:36:07.1464995Z Finished nn/test_lazy_modules 1/1 ... [2025-12-04 09:36:07.146195][2821.79865263], took 0.06min
2025-12-04T09:36:07.1924746Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_lazy_modules/nn.test_lazy_modules-787d8dcdcee073cb.xml
2025-12-04T09:36:09.7508657Z Running test_monitor 1/1 ... [2025-12-04 09:36:09.750463][2824.402921433]
2025-12-04T09:36:09.7509397Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:09.7513105Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:09.750941]
2025-12-04T09:36:09.7577492Z 
2025-12-04T09:36:09.7578681Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_0315e5f17691b905_.log
2025-12-04T09:36:09.7580399Z Running 0 items in this shard:
2025-12-04T09:36:09.7580770Z 
2025-12-04T09:36:09.7581200Z Finished nn/test_pruning 1/1 ... [2025-12-04 09:36:09.757765][2824.410222997], took 0.06min
2025-12-04T09:36:09.8010673Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pruning/nn.test_pruning-6a9ce62db071d91d.xml
2025-12-04T09:36:10.6583768Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 09:36:10.657951][2825.310398881]
2025-12-04T09:36:10.6584618Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:10.6587454Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:10.658390]
2025-12-04T09:36:12.9208699Z 
2025-12-04T09:36:12.9209914Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_3ecd10e9c133a824_.log
2025-12-04T09:36:12.9211287Z Running 0 items in this shard:
2025-12-04T09:36:12.9211595Z 
2025-12-04T09:36:12.9211973Z Finished test_monitor 1/1 ... [2025-12-04 09:36:12.920876][2827.573333402], took 0.05min
2025-12-04T09:36:12.9489669Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_monitor/test_monitor-7a21a7fba70c3a51.xml
2025-12-04T09:36:13.2367805Z Running test_bundled_inputs 1/1 ... [2025-12-04 09:36:13.236318][2827.888774443]
2025-12-04T09:36:13.2368398Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:13.2372081Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:13.236856]
2025-12-04T09:36:13.8782950Z 
2025-12-04T09:36:13.8784601Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_f005c5323295eba8_.log
2025-12-04T09:36:13.8786001Z Running 0 items in this shard:
2025-12-04T09:36:13.8786326Z 
2025-12-04T09:36:13.8786811Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 09:36:13.878226][2828.53068241], took 0.05min
2025-12-04T09:36:13.9067251Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-fba87b48d990a24a.xml
2025-12-04T09:36:16.4514599Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 09:36:16.451047][2831.103505465]
2025-12-04T09:36:16.4515694Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:16.4518579Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:16.451511]
2025-12-04T09:36:16.5074174Z 
2025-12-04T09:36:16.5075659Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_813c6089e024ba8d_.log
2025-12-04T09:36:16.5077137Z Running 0 items in this shard:
2025-12-04T09:36:16.5077509Z 
2025-12-04T09:36:16.5082006Z Finished test_bundled_inputs 1/1 ... [2025-12-04 09:36:16.507907][2831.160358674], took 0.05min
2025-12-04T09:36:16.5944703Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_bundled_inputs/test_bundled_inputs-48a0a7086bfa486b.xml
2025-12-04T09:36:17.4289255Z Running torch_np/numpy_tests/core/test_multiarray 1/2 ... [2025-12-04 09:36:17.428466][2832.080924906]
2025-12-04T09:36:17.4290249Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:17.4293185Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:17.428943]
2025-12-04T09:36:20.0045241Z Running optim/test_swa_utils 1/1 ... [2025-12-04 09:36:20.004100][2834.656559234]
2025-12-04T09:36:20.0046086Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:20.0049104Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_swa_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:20.004555]
2025-12-04T09:36:20.2725442Z 
2025-12-04T09:36:20.2727167Z 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_9d78cd6812d88a2a_.log
2025-12-04T09:36:20.2728936Z Running 0 items in this shard:
2025-12-04T09:36:20.2729236Z 
2025-12-04T09:36:20.2729867Z Finished torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 09:36:20.272522][2834.924979597], took 0.06min
2025-12-04T09:36:20.3511286Z 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-9d3deba6f06d6393.xml
2025-12-04T09:36:22.3523081Z 
2025-12-04T09:36:22.3524416Z 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_76e80fc48f22ad83_.log
2025-12-04T09:36:22.3525382Z Running 0 items in this shard:
2025-12-04T09:36:22.3525573Z 
2025-12-04T09:36:22.3525960Z Finished torch_np/numpy_tests/core/test_multiarray 1/2 ... [2025-12-04 09:36:22.352199][2837.004657186], took 0.08min
2025-12-04T09:36:22.3868174Z 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-b1a2c76f17d3fe64.xml
2025-12-04T09:36:23.0749579Z 
2025-12-04T09:36:23.0750962Z optim/test_swa_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_swa_utils_1.1_fc99c3455803eceb_.log
2025-12-04T09:36:23.0752249Z 
2025-12-04T09:36:23.0752770Z Finished optim/test_swa_utils 1/1 ... [2025-12-04 09:36:23.074832][2837.727290983], took 0.05min
2025-12-04T09:36:23.8084785Z Running functorch/test_dims 1/1 ... [2025-12-04 09:36:23.808082][2838.460541102]
2025-12-04T09:36:23.8085679Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:23.8089767Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_dims.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:23.808555]
2025-12-04T09:36:25.8330436Z Running torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-12-04 09:36:25.832597][2840.485056443]
2025-12-04T09:36:25.8331521Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:25.8334831Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarmath.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:25.833064]
2025-12-04T09:36:26.6068824Z Running test_scaled_matmul_cuda 1/1 ... [2025-12-04 09:36:26.606435][2841.258893932]
2025-12-04T09:36:26.6069572Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:26.6072771Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:26.606920]
2025-12-04T09:36:27.3796913Z 
2025-12-04T09:36:27.3798313Z functorch/test_dims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_dims_1.1_e05d7b6c71b9b70b_.log
2025-12-04T09:36:27.3818339Z Running 50 items in this shard: test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda
2025-12-04T09:36:27.3839655Z 
2025-12-04T09:36:27.3840104Z Finished functorch/test_dims 1/1 ... [2025-12-04 09:36:27.379623][2842.032079166], took 0.06min
2025-12-04T09:36:27.4317848Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_dims/functorch.test_dims-ef3b246a90f3c4a6.xml
2025-12-04T09:36:29.4034044Z 
2025-12-04T09:36:29.4035599Z torch_np/numpy_tests/core/test_scalarmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarmath_1.1_213715f0764a6206_.log
2025-12-04T09:36:29.4037080Z Running 0 items in this shard:
2025-12-04T09:36:29.4037407Z 
2025-12-04T09:36:29.4038087Z Finished torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-12-04 09:36:29.403327][2844.055784124], took 0.06min
2025-12-04T09:36:29.4508491Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalarmath/torch_np.numpy_tests.core.test_scalarmath-7d46f229903482f0.xml
2025-12-04T09:36:30.1769300Z 
2025-12-04T09:36:30.1770861Z 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_7e3738a427e430c3_.log
2025-12-04T09:36:30.1772246Z Running 0 items in this shard:
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2025-12-04T09:36:30.1773090Z Finished test_scaled_matmul_cuda 1/1 ... [2025-12-04 09:36:30.176847][2844.829307585], took 0.06min
2025-12-04T09:36:30.2224153Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_scaled_matmul_cuda/test_scaled_matmul_cuda-e61607b3714168f8.xml
2025-12-04T09:36:30.8486562Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-12-04 09:36:30.848230][2845.500689624]
2025-12-04T09:36:30.8487635Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:30.8490646Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_shape_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:30.848708]
2025-12-04T09:36:32.9274421Z Running test_vulkan 1/1 ... [2025-12-04 09:36:32.927022][2847.579480552]
2025-12-04T09:36:32.9275827Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:32.9278644Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_vulkan.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:32.927477]
2025-12-04T09:36:33.7318144Z Running lazy/test_generator 1/1 ... [2025-12-04 09:36:33.731416][2848.383874746]
2025-12-04T09:36:33.7319077Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:33.7322227Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_generator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:33.731853]
2025-12-04T09:36:34.3691061Z 
2025-12-04T09:36:34.3693002Z torch_np/numpy_tests/core/test_shape_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_shape_base_1.1_ec17a0f3cf5ace45_.log
2025-12-04T09:36:34.3694844Z Running 0 items in this shard:
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2025-12-04T09:36:34.3695826Z Finished torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-12-04 09:36:34.368996][2849.021454061], took 0.06min
2025-12-04T09:36:34.3994311Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_shape_base/torch_np.numpy_tests.core.test_shape_base-87073b31f7cc46bc.xml
2025-12-04T09:36:36.0475790Z 
2025-12-04T09:36:36.0477191Z test_vulkan 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_vulkan_1.1_1573a2020f4e3c4b_.log
2025-12-04T09:36:36.0478334Z Running 0 items in this shard:
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2025-12-04T09:36:36.0479060Z Finished test_vulkan 1/1 ... [2025-12-04 09:36:36.047492][2850.699950604], took 0.05min
2025-12-04T09:36:36.0773207Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_vulkan/test_vulkan-67250cf298d13ecb.xml
2025-12-04T09:36:36.9019987Z 
2025-12-04T09:36:36.9021300Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_9b5ee31c992bfc83_.log
2025-12-04T09:36:36.9022647Z Running 0 items in this shard:
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2025-12-04T09:36:36.9023129Z Finished lazy/test_generator 1/1 ... [2025-12-04 09:36:36.902027][2851.554483891], took 0.05min
2025-12-04T09:36:36.9320139Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_generator/lazy.test_generator-c4780e9ea8ae5059.xml
2025-12-04T09:36:37.8742006Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-12-04 09:36:37.873794][2852.526253153]
2025-12-04T09:36:37.8742893Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:37.8747073Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/linalg/test_linalg.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:37.874289]
2025-12-04T09:36:39.5351634Z Running torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-12-04 09:36:39.534729][2854.187188293]
2025-12-04T09:36:39.5352677Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:39.5355718Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dtype.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:39.535188]
2025-12-04T09:36:40.4507443Z Running lazy/test_debug_util 1/1 ... [2025-12-04 09:36:40.450296][2855.102754941]
2025-12-04T09:36:40.4508302Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:40.4511269Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_debug_util.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:40.450751]
2025-12-04T09:36:41.5962655Z 
2025-12-04T09:36:41.5964201Z torch_np/numpy_tests/linalg/test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.linalg.test_linalg_1.1_9458f9484412dc71_.log
2025-12-04T09:36:41.5965701Z Running 0 items in this shard:
2025-12-04T09:36:41.5965924Z 
2025-12-04T09:36:41.5966300Z Finished torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-12-04 09:36:41.596235][2856.248692311], took 0.06min
2025-12-04T09:36:41.6261388Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.linalg.test_linalg/torch_np.numpy_tests.linalg.test_linalg-b76607effb977543.xml
2025-12-04T09:36:42.8553954Z 
2025-12-04T09:36:42.8555170Z torch_np/numpy_tests/core/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dtype_1.1_11bd497cd24e4e61_.log
2025-12-04T09:36:42.8556390Z Running 0 items in this shard:
2025-12-04T09:36:42.8556670Z 
2025-12-04T09:36:42.8557134Z Finished torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-12-04 09:36:42.855292][2857.507750752], took 0.06min
2025-12-04T09:36:42.9052470Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_dtype/torch_np.numpy_tests.core.test_dtype-194f397e95585fe0.xml
2025-12-04T09:36:43.6706384Z 
2025-12-04T09:36:43.6707803Z lazy/test_debug_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_debug_util_1.1_1b1641b822f911d7_.log
2025-12-04T09:36:43.6709297Z Running 0 items in this shard:
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2025-12-04T09:36:43.6710158Z Finished lazy/test_debug_util 1/1 ... [2025-12-04 09:36:43.670570][2858.323027272], took 0.05min
2025-12-04T09:36:43.7009519Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_debug_util/lazy.test_debug_util-0354b116907a2a15.xml
2025-12-04T09:36:45.1245661Z Running nn/test_load_state_dict 1/1 ... [2025-12-04 09:36:45.124142][2859.776601723]
2025-12-04T09:36:45.1246182Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:45.1249769Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_load_state_dict.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:45.124612]
2025-12-04T09:36:46.3845437Z Running test_shape_ops 1/1 ... [2025-12-04 09:36:46.384116][2861.036574213]
2025-12-04T09:36:46.3845943Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:46.3849353Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_shape_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:46.384588]
2025-12-04T09:36:47.2217800Z Running nn/test_module_hooks 1/1 ... [2025-12-04 09:36:47.221361][2861.873819874]
2025-12-04T09:36:47.2219058Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:47.2222116Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_module_hooks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:47.221834]
2025-12-04T09:36:48.6453202Z 
2025-12-04T09:36:48.6454641Z nn/test_load_state_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_load_state_dict_1.1_3855790f2625f52b_.log
2025-12-04T09:36:48.6456165Z Running 0 items in this shard:
2025-12-04T09:36:48.6456524Z 
2025-12-04T09:36:48.6457059Z Finished nn/test_load_state_dict 1/1 ... [2025-12-04 09:36:48.645166][2863.297624535], took 0.06min
2025-12-04T09:36:48.6956376Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_load_state_dict/nn.test_load_state_dict-3b7ae6b83e2d7d91.xml
2025-12-04T09:36:50.0054266Z 
2025-12-04T09:36:50.0055584Z test_shape_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_shape_ops_1.1_9823796ccb65b969_.log
2025-12-04T09:36:50.0056923Z Running 0 items in this shard:
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2025-12-04T09:36:50.0057647Z Finished test_shape_ops 1/1 ... [2025-12-04 09:36:50.005319][2864.657777543], took 0.06min
2025-12-04T09:36:50.0556768Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_shape_ops/test_shape_ops-656322ac3a1dfe31.xml
2025-12-04T09:36:50.8424875Z 
2025-12-04T09:36:50.8426245Z nn/test_module_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_module_hooks_1.1_d2916f7774622026_.log
2025-12-04T09:36:50.8427612Z Running 0 items in this shard:
2025-12-04T09:36:50.8427933Z 
2025-12-04T09:36:50.8428422Z Finished nn/test_module_hooks 1/1 ... [2025-12-04 09:36:50.842359][2865.494815272], took 0.06min
2025-12-04T09:36:50.8734752Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_module_hooks/nn.test_module_hooks-afb1351e71f5299a.xml
2025-12-04T09:36:52.1832601Z Running torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-12-04 09:36:52.182824][2866.835281267]
2025-12-04T09:36:52.1833543Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:52.1836869Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_twodim_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:52.183303]
2025-12-04T09:36:53.6163832Z Running profiler/test_memory_profiler 1/1 ... [2025-12-04 09:36:53.615941][2868.268400113]
2025-12-04T09:36:53.6164860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:53.6167458Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_memory_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:53.616373]
2025-12-04T09:36:54.3790044Z Running test_jit_llga_fuser 1/1 ... [2025-12-04 09:36:54.378581][2869.031040507]
2025-12-04T09:36:54.3790983Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:54.3794164Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_llga_fuser.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:54.379044]
2025-12-04T09:36:55.4032038Z 
2025-12-04T09:36:55.4033642Z torch_np/numpy_tests/lib/test_twodim_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_twodim_base_1.1_82d9ad9cb06333ed_.log
2025-12-04T09:36:55.4035517Z Running 0 items in this shard:
2025-12-04T09:36:55.4035843Z 
2025-12-04T09:36:55.4036428Z Finished torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-12-04 09:36:55.403075][2870.055533863], took 0.05min
2025-12-04T09:36:55.4365817Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_twodim_base/torch_np.numpy_tests.lib.test_twodim_base-9f5a263b43e5543f.xml
2025-12-04T09:36:57.2367990Z 
2025-12-04T09:36:57.2369330Z profiler/test_memory_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_memory_profiler_1.1_1ee1d9321697ec9f_.log
2025-12-04T09:36:57.2395549Z Running 50 items in this shard: test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none
2025-12-04T09:36:57.2420330Z 
2025-12-04T09:36:57.2420682Z Finished profiler/test_memory_profiler 1/1 ... [2025-12-04 09:36:57.236902][2871.889358015], took 0.06min
2025-12-04T09:36:57.2876879Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_memory_profiler/profiler.test_memory_profiler-d5ec9e4fdcdabbf9.xml
2025-12-04T09:36:58.3002191Z 
2025-12-04T09:36:58.3003268Z test_jit_llga_fuser 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_llga_fuser_1.1_881d8759684f6448_.log
2025-12-04T09:36:58.3004468Z Running 0 items in this shard:
2025-12-04T09:36:58.3004664Z 
2025-12-04T09:36:58.3004981Z Finished test_jit_llga_fuser 1/1 ... [2025-12-04 09:36:58.300237][2872.952692785], took 0.07min
2025-12-04T09:36:58.3319638Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_llga_fuser/test_jit_llga_fuser-563e059e4d68d116.xml
2025-12-04T09:36:58.9225888Z Running test_serialization 1/1 ... [2025-12-04 09:36:58.922190][2873.574647627]
2025-12-04T09:36:58.9226440Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:36:58.9229466Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_serialization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:58.922658]
2025-12-04T09:37:00.7240988Z Running test_sparse_csr 1/1 ... [2025-12-04 09:37:00.723699][2875.376157727]
2025-12-04T09:37:00.7241880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:00.7245193Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse_csr.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:00.724166]
2025-12-04T09:37:01.7825833Z Running test_indexing 1/1 ... [2025-12-04 09:37:01.782152][2876.434609382]
2025-12-04T09:37:01.7826412Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:01.7830038Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_indexing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:01.782585]
2025-12-04T09:37:03.0446139Z 
2025-12-04T09:37:03.0447814Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_fca93a9c89aa93be_.log
2025-12-04T09:37:03.0449591Z Running 0 items in this shard:
2025-12-04T09:37:03.0449953Z 
2025-12-04T09:37:03.0450466Z Finished test_serialization 1/1 ... [2025-12-04 09:37:03.044044][2877.696503035], took 0.07min
2025-12-04T09:37:03.0760630Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_serialization/test_serialization-bc7cb5a8e2ce5857.xml
2025-12-04T09:37:05.6033784Z 
2025-12-04T09:37:05.6035017Z test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_indexing_1.1_73f9f52d76ebcc1d_.log
2025-12-04T09:37:05.6036100Z Running 0 items in this shard:
2025-12-04T09:37:05.6036399Z 
2025-12-04T09:37:05.6036778Z Finished test_indexing 1/1 ... [2025-12-04 09:37:05.603282][2880.25573748], took 0.06min
2025-12-04T09:37:05.6604382Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_indexing/test_indexing-76b907379a6e60b0.xml
2025-12-04T09:37:06.6578313Z Running torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-12-04 09:37:06.657277][2881.309733049]
2025-12-04T09:37:06.6579627Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:06.6584500Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_pocketfft.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:06.657924]
2025-12-04T09:37:09.1395648Z Running functorch/test_ops 1/1 ... [2025-12-04 09:37:09.139122][2883.791580877]
2025-12-04T09:37:09.1396592Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:09.1399352Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:09.139574]
2025-12-04T09:37:09.9362530Z 
2025-12-04T09:37:09.9364248Z torch_np/numpy_tests/fft/test_pocketfft 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_pocketfft_1.1_0ee3752d59eac26a_.log
2025-12-04T09:37:09.9366062Z Running 0 items in this shard:
2025-12-04T09:37:09.9366442Z 
2025-12-04T09:37:09.9367112Z Finished torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-12-04 09:37:09.936193][2884.588652635], took 0.05min
2025-12-04T09:37:09.9683405Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.fft.test_pocketfft/torch_np.numpy_tests.fft.test_pocketfft-12547dab2627e706.xml
2025-12-04T09:37:13.3151802Z Running functorch/test_aotdispatch 2/3 ... [2025-12-04 09:37:13.314722][2887.967181083]
2025-12-04T09:37:13.3152790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:13.3155710Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:13.315179]
2025-12-04T09:37:14.9140176Z 
2025-12-04T09:37:14.9141711Z test_sparse_csr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.1_29e8c145d8ee7a9c_.log
2025-12-04T09:37:14.9142577Z Running 0 items in this shard:
2025-12-04T09:37:14.9142853Z 
2025-12-04T09:37:14.9143201Z Finished test_sparse_csr 1/1 ... [2025-12-04 09:37:14.913964][2889.56641016], took 0.24min
2025-12-04T09:37:14.9463446Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sparse_csr/test_sparse_csr-d109770683af9ad5.xml
2025-12-04T09:37:18.3554205Z Running functorch/test_aotdispatch 3/3 ... [2025-12-04 09:37:18.355000][2893.007458448]
2025-12-04T09:37:18.3555533Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:18.3558669Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=3', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:18.355471]
2025-12-04T09:37:25.4998995Z 
2025-12-04T09:37:25.5000564Z functorch/test_aotdispatch 2/3 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_2.3_ad21f690cbbcb5ba_.log
2025-12-04T09:37:25.5001879Z Running 0 items in this shard:
2025-12-04T09:37:25.5002157Z 
2025-12-04T09:37:25.5002613Z Finished functorch/test_aotdispatch 2/3 ... [2025-12-04 09:37:25.499800][2900.152257674], took 0.20min
2025-12-04T09:37:25.5520313Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-c093b9712be5c5b3.xml
2025-12-04T09:37:28.8276112Z Running test_cuda_multigpu 1/1 ... [2025-12-04 09:37:28.827204][2903.479663474]
2025-12-04T09:37:28.8276607Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:37:28.8279788Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_multigpu.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:28.827690]
2025-12-04T09:37:30.4389185Z 
2025-12-04T09:37:30.4390856Z functorch/test_aotdispatch 3/3 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_3.3_4514aabc37debcea_.log
2025-12-04T09:37:30.4418833Z Running 50 items in this shard: test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32
2025-12-04T09:37:30.4445566Z 
2025-12-04T09:37:30.4445883Z Finished functorch/test_aotdispatch 3/3 ... [2025-12-04 09:37:30.438991][2905.091443309], took 0.20min
2025-12-04T09:37:30.4915723Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-fae47711b2fd615e.xml
2025-12-04T09:37:32.2478522Z 
2025-12-04T09:37:32.2479965Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_49f399a8118dd593_.log
2025-12-04T09:37:32.2481199Z Running 0 items in this shard:
2025-12-04T09:37:32.2481506Z 
2025-12-04T09:37:32.2482034Z Finished test_cuda_multigpu 1/1 ... [2025-12-04 09:37:32.247784][2906.90024044], took 0.06min
2025-12-04T09:37:32.3027512Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-c8e141fdfd26bb00.xml
2025-12-04T09:37:32.3467277Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_multigpu/test_cuda_multigpu-922abef5c3699e7e.xml
2025-12-04T09:37:33.8455647Z 
2025-12-04T09:37:33.8457216Z functorch/test_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.1_3d78eaf09e14e262_.log
2025-12-04T09:37:33.8458574Z Running 0 items in this shard:
2025-12-04T09:37:33.8458913Z 
2025-12-04T09:37:33.8459398Z Finished functorch/test_ops 1/1 ... [2025-12-04 09:37:33.845410][2908.49787033], took 0.41min
2025-12-04T09:37:36.2483697Z Running test batch 'tests to run' cost 2065.46 seconds
2025-12-04T09:37:36.2497514Z Emitting td_test_failure_stats_v2
2025-12-04T09:37:36.2501139Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841056_ddeed226d0f411f0b2870242ac110002
2025-12-04T09:37:36.3842022Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841056_ddeed226d0f411f0b2870242ac110002 
2025-12-04T09:37:36.3843259Z test_ci_sanity_check_fail 1/1 failed!
2025-12-04T09:37:37.3929319Z 
2025-12-04T09:37:37.3929869Z real	34m31.510s
2025-12-04T09:37:37.3930141Z user	54m7.284s
2025-12-04T09:37:37.3930368Z sys	9m39.403s
2025-12-04T09:37:37.3930591Z + assert_git_not_dirty
2025-12-04T09:37:37.3930872Z + [[ linux-jammy-py3.10-clang12 != *rocm* ]]
2025-12-04T09:37:37.3931230Z + [[ linux-jammy-py3.10-clang12 != *xla* ]]
2025-12-04T09:37:37.3936605Z ++ git status --porcelain
2025-12-04T09:37:37.3937106Z ++ grep -v '?? third_party'
2025-12-04T09:38:20.1038128Z ++ true
2025-12-04T09:38:20.1068547Z + git_status=
2025-12-04T09:38:20.1068818Z + [[ -n '' ]]
2025-12-04T09:38:20.1070030Z + test_aten
2025-12-04T09:38:20.1080329Z + echo 'Running ATen tests with pytorch lib'
2025-12-04T09:38:20.1080732Z Running ATen tests with pytorch lib
2025-12-04T09:38:20.1081087Z + [[ -n '' ]]
2025-12-04T09:38:20.1081431Z + echo 'Running test with the build folder'
2025-12-04T09:38:20.1081773Z Running test with the build folder
2025-12-04T09:38:20.1082122Z + TEST_BASE_DIR=build/bin
2025-12-04T09:38:20.1082637Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so build/bin
2025-12-04T09:38:20.1120263Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2*' build/bin
2025-12-04T09:38:20.1131243Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libmkldnn*' build/bin
2025-12-04T09:38:20.1143866Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnccl*' build/bin
2025-12-04T09:38:20.1169850Z + 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
2025-12-04T09:38:20.1179093Z + ls build/bin
2025-12-04T09:38:20.1222517Z  BackoffTest			       cpu_generator_test
2025-12-04T09:38:20.1223266Z  CMakeFiles			       cpu_profiling_allocator_test
2025-12-04T09:38:20.1223841Z  CTestTestfile.cmake		       cpu_rng_test
2025-12-04T09:38:20.1224394Z  CppSignature_test		       dlconvertor_test
2025-12-04T09:38:20.1224954Z  Dict_test			       example_allreduce
2025-12-04T09:38:20.1225471Z  Dimname_test			       extension_backend_test
2025-12-04T09:38:20.1225944Z  FileStoreTest			       half_test
2025-12-04T09:38:20.1226271Z  HashStoreTest			       inline_container_test
2025-12-04T09:38:20.1226924Z  IListRef_test			       ivalue_test
2025-12-04T09:38:20.1227536Z  KernelFunction_test		       kernel_function_legacy_test
2025-12-04T09:38:20.1227962Z  List_test			       kernel_function_test
2025-12-04T09:38:20.1228322Z  MaybeOwned_test		       kernel_lambda_legacy_test
2025-12-04T09:38:20.1228698Z  NamedTensor_test		       kernel_lambda_test
2025-12-04T09:38:20.1229078Z  ProcessGroupGlooTest		       kernel_stackbased_test
2025-12-04T09:38:20.1229468Z  StorageUtils_test		       lazy_tensor_test
2025-12-04T09:38:20.1229823Z  TCPStoreTest			       legacy_vmap_test
2025-12-04T09:38:20.1230153Z  apply_utils_test		       libc10.so
2025-12-04T09:38:20.1230448Z  atest				      'libcaffe2*'
2025-12-04T09:38:20.1230748Z  backend_fallback_test		      'libmkldnn*'
2025-12-04T09:38:20.1231077Z  basic				      'libnccl*'
2025-12-04T09:38:20.1231342Z  broadcast_test			       libtorch.so
2025-12-04T09:38:20.1231691Z  c10_AllocatorConfig_test	       libtorch_cpu.so
2025-12-04T09:38:20.1232102Z  c10_ArrayRef_test		       libtorch_global_deps.so
2025-12-04T09:38:20.1232474Z  c10_Bitset_test		       libtorch_python.so
2025-12-04T09:38:20.1232879Z  c10_CompileTimeFunctionPointer_test   libtorchbind_test.so
2025-12-04T09:38:20.1233391Z  c10_ConstexprCrc_test		       make_boxed_from_unboxed_functor_test
2025-12-04T09:38:20.1233853Z  c10_DeadlockDetection_test	       math_kernel_test
2025-12-04T09:38:20.1234228Z  c10_DeviceGuard_test		       memory_format_test
2025-12-04T09:38:20.1234609Z  c10_Device_test		       memory_overlapping_test
2025-12-04T09:38:20.1235008Z  c10_DispatchKeySet_test	       mobile_memory_cleanup
2025-12-04T09:38:20.1235363Z  c10_Enumerate_test		       native_test
2025-12-04T09:38:20.1235686Z  c10_Half_test			       op_allowlist_test
2025-12-04T09:38:20.1236062Z  c10_InlineDeviceGuard_test	       op_registration_test
2025-12-04T09:38:20.1236482Z  c10_InlineStreamGuard_test	       operator_name_test
2025-12-04T09:38:20.1236860Z  c10_IntrusiveList_test		       operators_test
2025-12-04T09:38:20.1237250Z  c10_LeftRight_test		       packedtensoraccessor_test
2025-12-04T09:38:20.1237643Z  c10_NetworkFlow_test		       parallel_benchmark
2025-12-04T09:38:20.1237975Z  c10_Scalar_test		       pow_test
2025-12-04T09:38:20.1238276Z  c10_Semaphore_test		       protoc
2025-12-04T09:38:20.1238610Z  c10_SizesAndStrides_test	       protoc-3.13.0.0
2025-12-04T09:38:20.1238967Z  c10_StreamGuard_test		       quantized_test
2025-12-04T09:38:20.1239304Z  c10_SymInt_test		       reduce_ops_test
2025-12-04T09:38:20.1239675Z  c10_Synchronized_test		       reportMemoryUsage_test
2025-12-04T09:38:20.1240192Z  c10_ThreadLocal_test		       scalar_tensor_test
2025-12-04T09:38:20.1240527Z  c10_TypeIndex_test		       scalar_test
2025-12-04T09:38:20.1240878Z  c10_accumulate_test		       static_runtime_bench
2025-12-04T09:38:20.1241246Z  c10_bfloat16_test		       static_runtime_test
2025-12-04T09:38:20.1241599Z  c10_bit_cast_test		       stride_properties_test
2025-12-04T09:38:20.1242063Z  c10_complex_math_test		       tensor_iterator_test
2025-12-04T09:38:20.1242441Z  c10_complex_test		       test_aoti_abi_check
2025-12-04T09:38:20.1242755Z  c10_cow_test			       test_api
2025-12-04T09:38:20.1243047Z  c10_error_test			       test_cpp_rpc
2025-12-04T09:38:20.1243378Z  c10_exception_test		       test_dist_autograd
2025-12-04T09:38:20.1243702Z  c10_flags_test			       test_jit
2025-12-04T09:38:20.1244014Z  c10_generic_math_test		       test_lazy
2025-12-04T09:38:20.1244366Z  c10_intrusive_ptr_benchmark	       test_parallel
2025-12-04T09:38:20.1244791Z  c10_intrusive_ptr_test		       test_vec_half_AVX2
2025-12-04T09:38:20.1245157Z  c10_irange_test		       test_vec_half_AVX512
2025-12-04T09:38:20.1245506Z  c10_lazy_test			       test_vec_half_DEFAULT
2025-12-04T09:38:20.1245847Z  c10_logging_test		       thread_init_test
2025-12-04T09:38:20.1246168Z  c10_nofatal_test		       torch_shm_manager
2025-12-04T09:38:20.1246509Z  c10_optional_test		       type_ptr_test
2025-12-04T09:38:20.1246868Z  c10_ordered_preserving_dict_test      type_test
2025-12-04T09:38:20.1247230Z  c10_registry_test		       undefined_tensor_test
2025-12-04T09:38:20.1247615Z  c10_small_vector_test		       vec_test_all_types_AVX2
2025-12-04T09:38:20.1248002Z  c10_ssize_test			       vec_test_all_types_AVX512
2025-12-04T09:38:20.1248399Z  c10_string_util_test		       vec_test_all_types_DEFAULT
2025-12-04T09:38:20.1248785Z  c10_string_view_test		       verify_api_visibility
2025-12-04T09:38:20.1249142Z  c10_tempfile_test		       weakref_test
2025-12-04T09:38:20.1249463Z  c10_typeid_test		       wrapdim_test
2025-12-04T09:38:20.1249784Z  cmake_install.cmake		       xla_tensor_test
2025-12-04T09:38:20.1250106Z  cpu_allocator_test
2025-12-04T09:38:20.1250363Z + aten/tools/run_tests.sh build/bin
2025-12-04T09:38:20.1253365Z + set -e
2025-12-04T09:38:20.1256055Z ++ dirname aten/tools/run_tests.sh
2025-12-04T09:38:20.1271090Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup
2025-12-04T09:38:20.1271672Z + export CPP_TESTS_DIR=build/bin
2025-12-04T09:38:20.1271958Z + CPP_TESTS_DIR=build/bin
2025-12-04T09:38:20.1272220Z + VALGRIND=ON
2025-12-04T09:38:20.1273996Z + 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
2025-12-04T09:38:24.8280768Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T09:38:24.8379353Z Found test times from artifacts
2025-12-04T09:38:24.8760827Z Found test times from artifacts
2025-12-04T09:38:24.8772727Z Running all tests
2025-12-04T09:38:24.8777400Z Running parallel tests on 3 processes
2025-12-04T09:38:24.8779709Z Name: tests to run (est. time: 0.0min)
2025-12-04T09:38:24.8780151Z   Serial tests (0):
2025-12-04T09:38:24.8780419Z   Parallel tests (19):
2025-12-04T09:38:24.8780674Z     cpp/Dict_test 1/1
2025-12-04T09:38:24.8780915Z     cpp/Dimname_test 1/1
2025-12-04T09:38:24.8781186Z     cpp/NamedTensor_test 1/1
2025-12-04T09:38:24.8781466Z     cpp/apply_utils_test 1/1
2025-12-04T09:38:24.8781723Z     cpp/atest 1/1
2025-12-04T09:38:24.8781953Z     cpp/basic 1/1
2025-12-04T09:38:24.8782189Z     cpp/broadcast_test 1/1
2025-12-04T09:38:24.8782453Z     cpp/cpu_generator_test 1/1
2025-12-04T09:38:24.8782749Z     cpp/dlconvertor_test 1/1
2025-12-04T09:38:24.8783220Z     cpp/extension_backend_test 1/1
2025-12-04T09:38:24.8783511Z     cpp/lazy_tensor_test 1/1
2025-12-04T09:38:24.8783795Z     cpp/legacy_vmap_test 1/1
2025-12-04T09:38:24.8784069Z     cpp/native_test 1/1
2025-12-04T09:38:24.8784328Z     cpp/operators_test 1/1
2025-12-04T09:38:24.8784587Z     cpp/scalar_tensor_test 1/1
2025-12-04T09:38:24.8784858Z     cpp/scalar_test 1/1
2025-12-04T09:38:24.8785429Z     cpp/tensor_iterator_test 1/1
2025-12-04T09:38:24.8785886Z     cpp/undefined_tensor_test 1/1
2025-12-04T09:38:24.8786191Z     cpp/wrapdim_test 1/1
2025-12-04T09:38:24.8786536Z Name: excluded (est. time: 0.0min)
2025-12-04T09:38:24.8786888Z   Serial tests (0):
2025-12-04T09:38:24.8787203Z   Parallel tests (0):
2025-12-04T09:38:24.8787653Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:38:24.878424][2959.530886353]
2025-12-04T09:38:24.8788100Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:24.8788486Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:24.8789127Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:38:24.878604][2959.531067167], took 0.00min
2025-12-04T09:38:25.4475209Z Uploading artifacts took 0.54 seconds
2025-12-04T09:38:25.4476032Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:38:25.447344][2960.099803833]
2025-12-04T09:38:25.4476578Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:25.4477074Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:25.4477651Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:38:25.447545][2960.099995857], took 0.00min
2025-12-04T09:38:25.4809025Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:38:25.480620][2960.133080621]
2025-12-04T09:38:25.4809552Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:25.4809957Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:25.4810538Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:38:25.480784][2960.133247986], took 0.00min
2025-12-04T09:38:25.5136964Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:38:25.513416][2960.165876332]
2025-12-04T09:38:25.5137559Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:25.5138170Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:25.5138762Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:38:25.513612][2960.166075306], took 0.00min
2025-12-04T09:38:25.5464353Z Running cpp/atest 1/1 ... [2025-12-04 09:38:25.546237][2960.198698451]
2025-12-04T09:38:25.5464876Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:25.5465422Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:25.5465947Z Finished cpp/atest 1/1 ... [2025-12-04 09:38:25.546421][2960.198884586], took 0.00min
2025-12-04T09:38:25.5787807Z Running cpp/basic 1/1 ... [2025-12-04 09:38:25.578578][2960.231039957]
2025-12-04T09:38:25.5788426Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:25.5788886Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:25.5789414Z Finished cpp/basic 1/1 ... [2025-12-04 09:38:25.578742][2960.231205854], took 0.00min
2025-12-04T09:38:25.6111670Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:38:25.610890][2960.263352163]
2025-12-04T09:38:25.6112173Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:25.6112576Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:25.6113161Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:38:25.611066][2960.263529379], took 0.00min
2025-12-04T09:38:25.6435393Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:38:25.643263][2960.295724446]
2025-12-04T09:38:25.6435975Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:25.6436377Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:25.6436959Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:38:25.643424][2960.295888897], took 0.00min
2025-12-04T09:38:25.6756330Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:38:25.675387][2960.327849386]
2025-12-04T09:38:25.6756926Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:25.6757565Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:25.6758235Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:38:25.675554][2960.328019256], took 0.00min
2025-12-04T09:38:25.7077988Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:38:25.707521][2960.359983414]
2025-12-04T09:38:25.7078667Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:25.7079238Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:25.7079861Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:38:25.707760][2960.360223112], took 0.00min
2025-12-04T09:38:25.7400040Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:38:25.739762][2960.392225046]
2025-12-04T09:38:25.7400976Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:25.7401400Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:25.7401987Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:38:25.739904][2960.392369267], took 0.00min
2025-12-04T09:38:25.7722096Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:38:25.771939][2960.42440079]
2025-12-04T09:38:25.7722605Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:25.7723035Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:25.7723624Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:38:25.772090][2960.424554695], took 0.00min
2025-12-04T09:38:25.8043067Z Running cpp/native_test 1/1 ... [2025-12-04 09:38:25.804054][2960.456514786]
2025-12-04T09:38:25.8043688Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:25.8044115Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:25.8044670Z Finished cpp/native_test 1/1 ... [2025-12-04 09:38:25.804225][2960.456688229], took 0.00min
2025-12-04T09:38:25.8367561Z Running cpp/operators_test 1/1 ... [2025-12-04 09:38:25.836483][2960.488943582]
2025-12-04T09:38:25.8368024Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:25.8368426Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:25.8369031Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:38:25.836653][2960.489117117], took 0.00min
2025-12-04T09:38:25.8690088Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:38:25.868771][2960.521232491]
2025-12-04T09:38:25.8690704Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:25.8691112Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:25.8691719Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:38:25.868947][2960.521411089], took 0.00min
2025-12-04T09:38:25.9022024Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:38:25.901849][2960.554308973]
2025-12-04T09:38:25.9022535Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:25.9022940Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:25.9023504Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:38:25.902088][2960.554549689], took 0.00min
2025-12-04T09:38:25.9348008Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:38:25.934503][2960.586963226]
2025-12-04T09:38:25.9348965Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:25.9349372Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:25.9349969Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:38:25.934695][2960.58715796], took 0.00min
2025-12-04T09:38:25.9679359Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:38:25.967631][2960.61999614]
2025-12-04T09:38:25.9680074Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:25.9680469Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:25.9681074Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:38:25.967806][2960.620271016], took 0.00min
2025-12-04T09:38:26.0001438Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:38:25.999918][2960.652379577]
2025-12-04T09:38:26.0001916Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:26.0002380Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:26.0002938Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:38:26.000071][2960.652536023], took 0.00min
2025-12-04T09:38:28.7824028Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:38:28.781870][2963.434328532]
2025-12-04T09:38:28.7824603Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:28.7825050Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:28.7826135Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:38:28.782078][2963.434541202], took 0.00min
2025-12-04T09:38:28.8263236Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:38:28.825909][2963.478369114]
2025-12-04T09:38:28.8263909Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:28.8264308Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:28.8264879Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:38:28.826121][2963.478583327], took 0.00min
2025-12-04T09:38:28.8306722Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:38:28.830321][2963.482777619]
2025-12-04T09:38:28.8307749Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:28.8308513Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:28.8309341Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:38:28.830544][2963.483006208], took 0.00min
2025-12-04T09:38:32.2876871Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:38:32.287211][2966.9396708]
2025-12-04T09:38:32.2877766Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:32.2878511Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:32.2879477Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:38:32.287415][2966.939878743], took 0.00min
2025-12-04T09:38:32.3171011Z Running cpp/atest 1/1 ... [2025-12-04 09:38:32.316707][2966.969166566]
2025-12-04T09:38:32.3171689Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:32.3172291Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:32.3173100Z Finished cpp/atest 1/1 ... [2025-12-04 09:38:32.316920][2966.969382733], took 0.00min
2025-12-04T09:38:32.3349930Z Running cpp/basic 1/1 ... [2025-12-04 09:38:32.334575][2966.987031717]
2025-12-04T09:38:32.3350663Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:32.3351243Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:32.3352023Z Finished cpp/basic 1/1 ... [2025-12-04 09:38:32.334813][2966.987274767], took 0.00min
2025-12-04T09:38:35.7757875Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:38:35.775362][2970.427820766]
2025-12-04T09:38:35.7758770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:35.7759779Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:35.7760899Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:38:35.775574][2970.42803615], took 0.00min
2025-12-04T09:38:35.8487655Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:38:35.848353][2970.500811803]
2025-12-04T09:38:35.8488453Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:35.8489064Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:35.8489955Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:38:35.848553][2970.501016118], took 0.00min
2025-12-04T09:38:35.8761798Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:38:35.875786][2970.528245287]
2025-12-04T09:38:35.8762579Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:35.8763191Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:35.8764262Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:38:35.875989][2970.528451596], took 0.00min
2025-12-04T09:38:39.2290322Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:38:39.228568][2973.881027912]
2025-12-04T09:38:39.2291279Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:39.2291971Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:39.2293001Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:38:39.228755][2973.881219858], took 0.00min
2025-12-04T09:38:39.4210743Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:38:39.420649][2974.073108338]
2025-12-04T09:38:39.4211634Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:39.4212649Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:39.4213634Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:38:39.420839][2974.073302289], took 0.00min
2025-12-04T09:38:39.4441683Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:38:39.443780][2974.096240028]
2025-12-04T09:38:39.4442662Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:39.4443820Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:39.4444966Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:38:39.443995][2974.096457738], took 0.00min
2025-12-04T09:38:42.7897591Z Running cpp/native_test 1/1 ... [2025-12-04 09:38:42.789260][2977.441719787]
2025-12-04T09:38:42.7898442Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:42.7899125Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:42.7900163Z Finished cpp/native_test 1/1 ... [2025-12-04 09:38:42.789466][2977.441930647], took 0.00min
2025-12-04T09:38:42.9529100Z Running cpp/operators_test 1/1 ... [2025-12-04 09:38:42.952471][2977.604930045]
2025-12-04T09:38:42.9529762Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:42.9530334Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:42.9530920Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:38:42.952703][2977.60516395], took 0.00min
2025-12-04T09:38:42.9649379Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:38:42.964662][2977.617121516]
2025-12-04T09:38:42.9650171Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:42.9650734Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:42.9651502Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:38:42.964890][2977.617351875], took 0.00min
2025-12-04T09:38:46.2982569Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:38:46.297807][2980.950265936]
2025-12-04T09:38:46.2983316Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:46.2983745Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:46.2984354Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:38:46.298021][2980.95048348], took 0.00min
2025-12-04T09:38:46.5113307Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:38:46.510949][2981.1634084]
2025-12-04T09:38:46.5113951Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:46.5114628Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:46.5115613Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:38:46.511151][2981.163615055], took 0.00min
2025-12-04T09:38:46.5116609Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:38:46.511345][2981.163802146]
2025-12-04T09:38:46.5117276Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:46.5119211Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:46.5120352Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:38:46.511595][2981.164057169], took 0.00min
2025-12-04T09:38:49.8251641Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:38:49.824701][2984.477159932]
2025-12-04T09:38:49.8252382Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:49.8253011Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T09:38:49.8254054Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:38:49.824904][2984.477366166], took 0.00min
2025-12-04T09:38:50.7159245Z Running test batch 'tests to run' cost 25.84 seconds
2025-12-04T09:38:51.3872695Z + run_if_exists tensor_interop_test
2025-12-04T09:38:51.3873241Z + local test_name=tensor_interop_test
2025-12-04T09:38:51.3873586Z + [[ -x build/bin/tensor_interop_test ]]
2025-12-04T09:38:51.3873960Z + echo 'Warning: tensor_interop_test does not exist.'
2025-12-04T09:38:51.3874353Z Warning: tensor_interop_test does not exist.
2025-12-04T09:38:51.3874689Z + run_if_exists cudnn_test
2025-12-04T09:38:51.3874961Z + local test_name=cudnn_test
2025-12-04T09:38:51.3875249Z + [[ -x build/bin/cudnn_test ]]
2025-12-04T09:38:51.3875900Z + echo 'Warning: cudnn_test does not exist.'
2025-12-04T09:38:51.3876466Z Warning: cudnn_test does not exist.
2025-12-04T09:38:51.3877283Z + run_if_exists cuda_generator_test
2025-12-04T09:38:51.3877881Z + local test_name=cuda_generator_test
2025-12-04T09:38:51.3878497Z + [[ -x build/bin/cuda_generator_test ]]
2025-12-04T09:38:51.3879157Z + echo 'Warning: cuda_generator_test does not exist.'
2025-12-04T09:38:51.3879857Z Warning: cuda_generator_test does not exist.
2025-12-04T09:38:51.3880632Z + run_if_exists apply_test
2025-12-04T09:38:51.3881132Z + local test_name=apply_test
2025-12-04T09:38:51.3881622Z + [[ -x build/bin/apply_test ]]
2025-12-04T09:38:51.3882194Z + echo 'Warning: apply_test does not exist.'
2025-12-04T09:38:51.3882778Z Warning: apply_test does not exist.
2025-12-04T09:38:51.3883322Z + run_if_exists stream_test
2025-12-04T09:38:51.3883815Z + local test_name=stream_test
2025-12-04T09:38:51.3884312Z + [[ -x build/bin/stream_test ]]
2025-12-04T09:38:51.3884870Z + echo 'Warning: stream_test does not exist.'
2025-12-04T09:38:51.3885486Z Warning: stream_test does not exist.
2025-12-04T09:38:51.3886113Z + run_if_exists cuda_half_test
2025-12-04T09:38:51.3886576Z + local test_name=cuda_half_test
2025-12-04T09:38:51.3887025Z + [[ -x build/bin/cuda_half_test ]]
2025-12-04T09:38:51.3887617Z + echo 'Warning: cuda_half_test does not exist.'
2025-12-04T09:38:51.3888127Z Warning: cuda_half_test does not exist.
2025-12-04T09:38:51.3888640Z + run_if_exists cuda_vectorized_test
2025-12-04T09:38:51.3889200Z + local test_name=cuda_vectorized_test
2025-12-04T09:38:51.3889687Z + [[ -x build/bin/cuda_vectorized_test ]]
2025-12-04T09:38:51.3890065Z + echo 'Warning: cuda_vectorized_test does not exist.'
2025-12-04T09:38:51.3890463Z Warning: cuda_vectorized_test does not exist.
2025-12-04T09:38:51.3890803Z + run_if_exists cuda_distributions_test
2025-12-04T09:38:51.3891136Z + local test_name=cuda_distributions_test
2025-12-04T09:38:51.3891483Z + [[ -x build/bin/cuda_distributions_test ]]
2025-12-04T09:38:51.3891862Z + echo 'Warning: cuda_distributions_test does not exist.'
2025-12-04T09:38:51.3892283Z Warning: cuda_distributions_test does not exist.
2025-12-04T09:38:51.3892649Z + run_if_exists cuda_optional_test
2025-12-04T09:38:51.3892961Z + local test_name=cuda_optional_test
2025-12-04T09:38:51.3893266Z + [[ -x build/bin/cuda_optional_test ]]
2025-12-04T09:38:51.3893625Z + echo 'Warning: cuda_optional_test does not exist.'
2025-12-04T09:38:51.3894003Z Warning: cuda_optional_test does not exist.
2025-12-04T09:38:51.3894341Z + run_if_exists cuda_tensor_interop_test
2025-12-04T09:38:51.3894681Z + local test_name=cuda_tensor_interop_test
2025-12-04T09:38:51.3895045Z + [[ -x build/bin/cuda_tensor_interop_test ]]
2025-12-04T09:38:51.3895436Z + echo 'Warning: cuda_tensor_interop_test does not exist.'
2025-12-04T09:38:51.3895842Z Warning: cuda_tensor_interop_test does not exist.
2025-12-04T09:38:51.3896203Z + run_if_exists cuda_complex_test
2025-12-04T09:38:51.3896510Z + local test_name=cuda_complex_test
2025-12-04T09:38:51.3896814Z + [[ -x build/bin/cuda_complex_test ]]
2025-12-04T09:38:51.3897166Z + echo 'Warning: cuda_complex_test does not exist.'
2025-12-04T09:38:51.3897543Z Warning: cuda_complex_test does not exist.
2025-12-04T09:38:51.3897873Z + run_if_exists cuda_complex_math_test
2025-12-04T09:38:51.3898199Z + local test_name=cuda_complex_math_test
2025-12-04T09:38:51.3898535Z + [[ -x build/bin/cuda_complex_math_test ]]
2025-12-04T09:38:51.3898912Z + echo 'Warning: cuda_complex_math_test does not exist.'
2025-12-04T09:38:51.3899323Z Warning: cuda_complex_math_test does not exist.
2025-12-04T09:38:51.3899773Z + run_if_exists cuda_cub_test
2025-12-04T09:38:51.3900068Z + local test_name=cuda_cub_test
2025-12-04T09:38:51.3900351Z + [[ -x build/bin/cuda_cub_test ]]
2025-12-04T09:38:51.3900683Z + echo 'Warning: cuda_cub_test does not exist.'
2025-12-04T09:38:51.3901039Z Warning: cuda_cub_test does not exist.
2025-12-04T09:38:51.3901349Z + run_if_exists cuda_atomic_ops_test
2025-12-04T09:38:51.3901703Z + local test_name=cuda_atomic_ops_test
2025-12-04T09:38:51.3902122Z + [[ -x build/bin/cuda_atomic_ops_test ]]
2025-12-04T09:38:51.3902582Z + echo 'Warning: cuda_atomic_ops_test does not exist.'
2025-12-04T09:38:51.3902977Z Warning: cuda_atomic_ops_test does not exist.
2025-12-04T09:38:51.3903327Z + run_if_exists cuda_allocator_test
2025-12-04T09:38:51.3903631Z + local test_name=cuda_allocator_test
2025-12-04T09:38:51.3903957Z + [[ -x build/bin/cuda_allocator_test ]]
2025-12-04T09:38:51.3904398Z + echo 'Warning: cuda_allocator_test does not exist.'
2025-12-04T09:38:51.3904785Z Warning: cuda_allocator_test does not exist.
2025-12-04T09:38:51.3905096Z + '[' ON == ON ']'
2025-12-04T09:38:51.3905793Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA'
2025-12-04T09:38:51.4176068Z ==12714== Memcheck, a memory error detector
2025-12-04T09:38:51.4176548Z ==12714== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al.
2025-12-04T09:38:51.4177118Z ==12714== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info
2025-12-04T09:38:51.4177811Z ==12714== Command: build/bin/basic --gtest_filter=-*CUDA
2025-12-04T09:38:51.4178167Z ==12714== 
2025-12-04T09:38:51.9515699Z ==12714== Warning: set address range perms: large range [0x4a13000, 0x19ca2000) (defined)
2025-12-04T09:38:51.9516388Z ==12714== Warning: set address range perms: large range [0x5cf4000, 0x16cf4000) (defined)
2025-12-04T09:39:15.8066273Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2025-12-04T09:39:15.8362041Z Note: Google Test filter = -*CUDA
2025-12-04T09:39:15.8427836Z [==========] Running 6 tests from 1 test suite.
2025-12-04T09:39:15.8454573Z [----------] Global test environment set-up.
2025-12-04T09:39:15.8521569Z [----------] 6 tests from BasicTest
2025-12-04T09:39:15.8545358Z [ RUN      ] BasicTest.BasicTestCPU
2025-12-04T09:39:17.1834847Z    352 ms
2025-12-04T09:39:17.2685931Z    50 ms
2025-12-04T09:39:17.3339973Z    56 ms
2025-12-04T09:39:18.0923471Z [       OK ] BasicTest.BasicTestCPU (2235 ms)
2025-12-04T09:39:18.0948665Z [ RUN      ] BasicTest.BasicTestHalfCPU
2025-12-04T09:39:18.2390917Z    92 ms
2025-12-04T09:39:18.2907510Z    41 ms
2025-12-04T09:39:18.3483131Z    55 ms
2025-12-04T09:39:18.3960608Z [       OK ] BasicTest.BasicTestHalfCPU (297 ms)
2025-12-04T09:39:18.3962190Z [ RUN      ] BasicTest.FactoryMethodsTest
2025-12-04T09:39:18.4324474Z [       OK ] BasicTest.FactoryMethodsTest (36 ms)
2025-12-04T09:39:18.4324909Z [ RUN      ] BasicTest.BasicStdTestCPU
2025-12-04T09:39:18.5106846Z Simple example: called once
2025-12-04T09:39:18.5964259Z throw: call_once will retry
2025-12-04T09:39:18.5979210Z Didn't throw, call_once will not attempt again
2025-12-04T09:39:18.6379160Z [       OK ] BasicTest.BasicStdTestCPU (205 ms)
2025-12-04T09:39:18.6379839Z [ RUN      ] BasicTest.TestForBlobResizeCPU
2025-12-04T09:39:18.6562102Z [       OK ] BasicTest.TestForBlobResizeCPU (18 ms)
2025-12-04T09:39:18.6562506Z [ RUN      ] BasicTest.TestForBlobStridesResizeCPU
2025-12-04T09:39:18.6589965Z [       OK ] BasicTest.TestForBlobStridesResizeCPU (2 ms)
2025-12-04T09:39:18.6611312Z [----------] 6 tests from BasicTest (2805 ms total)
2025-12-04T09:39:18.6611582Z 
2025-12-04T09:39:18.6624563Z [----------] Global test environment tear-down
2025-12-04T09:39:18.6654339Z [==========] 6 tests from 1 test suite ran. (2833 ms total)
2025-12-04T09:39:18.6666681Z [  PASSED  ] 6 tests.
2025-12-04T09:39:20.6238557Z ==12714== 
2025-12-04T09:39:20.6242337Z ==12714== HEAP SUMMARY:
2025-12-04T09:39:20.6242691Z ==12714==     in use at exit: 430,867 bytes in 6,419 blocks
2025-12-04T09:39:20.6243198Z ==12714==   total heap usage: 652,075 allocs, 645,656 frees, 198,308,957 bytes allocated
2025-12-04T09:39:20.6243640Z ==12714== 
2025-12-04T09:39:20.6681084Z ==12714== LEAK SUMMARY:
2025-12-04T09:39:20.6681423Z ==12714==    definitely lost: 0 bytes in 0 blocks
2025-12-04T09:39:20.6681801Z ==12714==    indirectly lost: 0 bytes in 0 blocks
2025-12-04T09:39:20.6682289Z ==12714==      possibly lost: 69,920 bytes in 2 blocks
2025-12-04T09:39:20.6682710Z ==12714==    still reachable: 360,947 bytes in 6,417 blocks
2025-12-04T09:39:20.6683327Z ==12714==         suppressed: 0 bytes in 0 blocks
2025-12-04T09:39:20.6683779Z ==12714== Rerun with --leak-check=full to see details of leaked memory
2025-12-04T09:39:20.6684214Z ==12714== 
2025-12-04T09:39:20.6684559Z ==12714== For lists of detected and suppressed errors, rerun with: -s
2025-12-04T09:39:20.6685252Z ==12714== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0)
2025-12-04T09:39:20.7121553Z + [[ -x build/bin/tensor_interop_test ]]
2025-12-04T09:39:20.7124232Z + [[ -n '' ]]
2025-12-04T09:39:20.7124621Z + assert_git_not_dirty
2025-12-04T09:39:20.7125095Z + [[ linux-jammy-py3.10-clang12 != *rocm* ]]
2025-12-04T09:39:20.7125485Z + [[ linux-jammy-py3.10-clang12 != *xla* ]]
2025-12-04T09:39:20.7131406Z ++ git status --porcelain
2025-12-04T09:39:20.7131808Z ++ grep -v '?? third_party'
2025-12-04T09:39:21.0079820Z ++ true
2025-12-04T09:39:21.0080819Z + git_status=
2025-12-04T09:39:21.0081385Z + [[ -n '' ]]
2025-12-04T09:39:21.0081613Z + test_libtorch 1
2025-12-04T09:39:21.0094161Z + local SHARD=1
2025-12-04T09:39:21.0094506Z + [[ slow != \s\l\o\w ]]
2025-12-04T09:39:21.0094804Z + [[ linux-jammy-py3.10-clang12 == *xpu* ]]
2025-12-04T09:39:21.0157581Z + sccache_epilogue
2025-12-04T09:39:21.0157962Z + echo '::group::Sccache Compilation Log'
2025-12-04T09:39:21.0158689Z ##[group]Sccache Compilation Log
2025-12-04T09:39:21.0159415Z + echo '=================== sccache compilation log ==================='
2025-12-04T09:39:21.0160094Z =================== sccache compilation log ===================
2025-12-04T09:39:21.0160727Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-12-04T09:39:21.0288695Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-12-04T09:39:21.0289399Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-12-04T09:39:21.0289921Z + sccache --show-stats
2025-12-04T09:39:21.0325160Z Compile requests                     424
2025-12-04T09:39:21.0325842Z Compile requests executed             59
2025-12-04T09:39:21.0326160Z Cache hits                            22
2025-12-04T09:39:21.0326478Z Cache hits (C/C++)                    22
2025-12-04T09:39:21.0326793Z Cache misses                          37
2025-12-04T09:39:21.0327130Z Cache misses (C/C++)                  37
2025-12-04T09:39:21.0327452Z Cache hits rate                    37.29 %
2025-12-04T09:39:21.0327820Z Cache hits rate (C/C++)            37.29 %
2025-12-04T09:39:21.0328266Z Cache timeouts                         0
2025-12-04T09:39:21.0328759Z Cache read errors                      0
2025-12-04T09:39:21.0329376Z Forced recaches                        0
2025-12-04T09:39:21.0329715Z Cache write errors                     0
2025-12-04T09:39:21.0330028Z Cache errors                           0
2025-12-04T09:39:21.0330328Z Compilations                          37
2025-12-04T09:39:21.0330666Z Compilation failures                   0
2025-12-04T09:39:21.0331001Z Non-cacheable compilations             0
2025-12-04T09:39:21.0331321Z Non-cacheable calls                    0
2025-12-04T09:39:21.0331651Z Non-compilation calls                365
2025-12-04T09:39:21.0331984Z Unsupported compiler calls             0
2025-12-04T09:39:21.0332304Z Average cache write                0.043 s
2025-12-04T09:39:21.0332643Z Average compiler                  12.329 s
2025-12-04T09:39:21.0332978Z Average cache read hit             0.057 s
2025-12-04T09:39:21.0333315Z Failed distributed compilations        0
2025-12-04T09:39:21.0333776Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-12-04T09:39:21.0334240Z Version (client)                0.10.0
2025-12-04T09:39:21.0334560Z + sccache --stop-server
2025-12-04T09:39:21.0346664Z Stopping sccache server...
2025-12-04T09:39:21.0349825Z Compile requests                     424
2025-12-04T09:39:21.0350296Z Compile requests executed             59
2025-12-04T09:39:21.0350793Z Cache hits                            22
2025-12-04T09:39:21.0351108Z Cache hits (C/C++)                    22
2025-12-04T09:39:21.0351421Z Cache misses                          37
2025-12-04T09:39:21.0351734Z Cache misses (C/C++)                  37
2025-12-04T09:39:21.0352049Z Cache hits rate                    37.29 %
2025-12-04T09:39:21.0352656Z Cache hits rate (C/C++)            37.29 %
2025-12-04T09:39:21.0353191Z Cache timeouts                         0
2025-12-04T09:39:21.0353677Z Cache read errors                      0
2025-12-04T09:39:21.0354095Z Forced recaches                        0
2025-12-04T09:39:21.0354534Z Cache write errors                     0
2025-12-04T09:39:21.0354987Z Cache errors                           0
2025-12-04T09:39:21.0355300Z Compilations                          37
2025-12-04T09:39:21.0355626Z Compilation failures                   0
2025-12-04T09:39:21.0355947Z Non-cacheable compilations             0
2025-12-04T09:39:21.0356373Z Non-cacheable calls                    0
2025-12-04T09:39:21.0356698Z Non-compilation calls                365
2025-12-04T09:39:21.0357152Z Unsupported compiler calls             0
2025-12-04T09:39:21.0357649Z Average cache write                0.043 s
2025-12-04T09:39:21.0358252Z Average compiler                  12.329 s
2025-12-04T09:39:21.0358720Z Average cache read hit             0.057 s
2025-12-04T09:39:21.0359315Z Failed distributed compilations        0
2025-12-04T09:39:21.0360147Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-12-04T09:39:21.0360798Z Version (client)                0.10.0
2025-12-04T09:39:21.0361130Z + echo ::endgroup::
2025-12-04T09:39:21.0361606Z ##[endgroup]
2025-12-04T09:39:21.0361833Z + cleanup_workspace
2025-12-04T09:39:21.0362328Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-12-04T09:39:21.0363117Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-12-04T09:39:21.0363749Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-12-04T09:39:21.0364219Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-12-04T09:39:21.0364771Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-12-04T09:39:21.0365367Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-12-04T09:39:21.0365847Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-12-04T09:39:24.4217130Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-12-04T09:39:24.4217625Z with:
2025-12-04T09:39:24.4217877Z   benchmark-results-dir: test/test-reports
2025-12-04T09:39:24.4218188Z   dry-run: false
2025-12-04T09:39:24.4218423Z   schema-version: v3
2025-12-04T09:39:24.4218880Z   github-token: ***
2025-12-04T09:39:24.4219112Z env:
2025-12-04T09:39:24.4219313Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:24.4219717Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:24.4220188Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:24.4220677Z ##[endgroup]
2025-12-04T09:39:24.4240751Z ##[group]Run set -eux
2025-12-04T09:39:24.4241038Z set -eux
2025-12-04T09:39:24.4241265Z 
2025-12-04T09:39:24.4241470Z if [[ -n "" ]]; then
2025-12-04T09:39:24.4241741Z   source ""
2025-12-04T09:39:24.4241980Z fi
2025-12-04T09:39:24.4242370Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-12-04T09:39:24.4242788Z 
2025-12-04T09:39:24.4243003Z DEVICE_NAME=""
2025-12-04T09:39:24.4243267Z DEVICE_TYPE=""
2025-12-04T09:39:24.4243515Z 
2025-12-04T09:39:24.4243737Z if command -v nvidia-smi; then
2025-12-04T09:39:24.4244193Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-12-04T09:39:24.4244788Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-12-04T09:39:24.4245423Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-12-04T09:39:24.4245870Z   python3 -mpip install torch==2.7.1
2025-12-04T09:39:24.4246228Z elif command -v rocminfo; then
2025-12-04T09:39:24.4246693Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-12-04T09:39:24.4247274Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-12-04T09:39:24.4247847Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-12-04T09:39:24.4248611Z   # GPU device name coming from rocminfo instead
2025-12-04T09:39:24.4249185Z   DEVICE_NAME=rocm
2025-12-04T09:39:24.4249958Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-12-04T09:39:24.4250770Z fi
2025-12-04T09:39:24.4251096Z 
2025-12-04T09:39:24.4251461Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-12-04T09:39:24.4251889Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-12-04T09:39:24.4263217Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:39:24.4263586Z env:
2025-12-04T09:39:24.4263809Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:24.4264079Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:24.4264516Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:24.4265027Z ##[endgroup]
2025-12-04T09:39:24.4300758Z + [[ -n '' ]]
2025-12-04T09:39:24.4301139Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-12-04T09:39:24.6831166Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T09:39:25.7603590Z Collecting boto3==1.35.33
2025-12-04T09:39:25.7787945Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-12-04T09:39:26.1066715Z Collecting psutil==7.0.0
2025-12-04T09:39:26.1109557Z   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)
2025-12-04T09:39:26.1427441Z Collecting pynvml==12.0.0
2025-12-04T09:39:26.1463965Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-12-04T09:39:26.1542344Z 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)
2025-12-04T09:39:26.1948097Z Collecting s3transfer<0.11.0,>=0.10.0
2025-12-04T09:39:26.1985887Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-12-04T09:39:27.4257707Z Collecting botocore<1.36.0,>=1.35.33
2025-12-04T09:39:27.4299697Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-12-04T09:39:27.6428244Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-12-04T09:39:27.6466214Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-12-04T09:39:27.6550922Z 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)
2025-12-04T09:39:27.6561752Z 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)
2025-12-04T09:39:27.8353430Z 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)
2025-12-04T09:39:27.9713414Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-12-04T09:39:28.4807662Z   Attempting uninstall: nvidia-ml-py
2025-12-04T09:39:28.4809013Z     Found existing installation: nvidia-ml-py 11.525.84
2025-12-04T09:39:28.4828780Z     Uninstalling nvidia-ml-py-11.525.84:
2025-12-04T09:39:28.5061495Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-12-04T09:39:28.5677230Z   Attempting uninstall: psutil
2025-12-04T09:39:28.5677688Z     Found existing installation: psutil 5.9.8
2025-12-04T09:39:28.5752521Z     Uninstalling psutil-5.9.8:
2025-12-04T09:39:28.5759044Z       Successfully uninstalled psutil-5.9.8
2025-12-04T09:39:28.7445069Z 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
2025-12-04T09:39:28.8569569Z + DEVICE_NAME=
2025-12-04T09:39:28.8569852Z + DEVICE_TYPE=
2025-12-04T09:39:28.8570095Z + command -v nvidia-smi
2025-12-04T09:39:28.8570346Z + command -v rocminfo
2025-12-04T09:39:28.8570594Z + echo DEVICE_NAME=
2025-12-04T09:39:28.8571883Z + echo DEVICE_TYPE=
2025-12-04T09:39:28.8594710Z ##[group]Run set -eux
2025-12-04T09:39:28.8594992Z set -eux
2025-12-04T09:39:28.8595217Z 
2025-12-04T09:39:28.8595754Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-12-04T09:39:28.8596118Z   echo "Missing github-token input"
2025-12-04T09:39:28.8596442Z   exit 1
2025-12-04T09:39:28.8596654Z fi
2025-12-04T09:39:28.8603237Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:39:28.8603619Z env:
2025-12-04T09:39:28.8603940Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:28.8604197Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:28.8604641Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:28.8605136Z   DEVICE_NAME: 
2025-12-04T09:39:28.8605360Z   DEVICE_TYPE: 
2025-12-04T09:39:28.8605804Z   GITHUB_TOKEN: ***
2025-12-04T09:39:28.8606036Z ##[endgroup]
2025-12-04T09:39:28.8632633Z + [[ -z *** ]]
2025-12-04T09:39:28.8679269Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-12-04T09:39:28.8679713Z with:
2025-12-04T09:39:28.8680073Z   github-token: ***
2025-12-04T09:39:28.8680293Z env:
2025-12-04T09:39:28.8680516Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:28.8680791Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:28.8681223Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:28.8681719Z   DEVICE_NAME: 
2025-12-04T09:39:28.8681945Z   DEVICE_TYPE: 
2025-12-04T09:39:28.8682157Z ##[endgroup]
2025-12-04T09:39:28.8695813Z ##[group]Run set -eux
2025-12-04T09:39:28.8696072Z set -eux
2025-12-04T09:39:28.8696304Z 
2025-12-04T09:39:28.8696787Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-12-04T09:39:28.8702635Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:39:28.8703019Z env:
2025-12-04T09:39:28.8703239Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:28.8703496Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:28.8704097Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:28.8704597Z   DEVICE_NAME: 
2025-12-04T09:39:28.8704821Z   DEVICE_TYPE: 
2025-12-04T09:39:28.8705175Z   GITHUB_TOKEN: ***
2025-12-04T09:39:28.8705408Z ##[endgroup]
2025-12-04T09:39:28.8728359Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922773007 i-056227624174a728f
2025-12-04T09:39:29.6539684Z setting job-id=57116038959
2025-12-04T09:39:29.6540277Z setting job-name=linux-jammy-py3.10-clang12 / test (slow, 1, 2, linux.2xlarge, rerun_disabled_tests)
2025-12-04T09:39:29.6647922Z ##[group]Run set -eux
2025-12-04T09:39:29.6648203Z set -eux
2025-12-04T09:39:29.6648433Z 
2025-12-04T09:39:29.6648654Z if [[ -n "" ]]; then
2025-12-04T09:39:29.6648917Z   source ""
2025-12-04T09:39:29.6649155Z fi
2025-12-04T09:39:29.6649367Z 
2025-12-04T09:39:29.6649757Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-12-04T09:39:29.6650283Z   --schema-version "${SCHEMA_VERSION}" \
2025-12-04T09:39:29.6650635Z   --repo "${REPO}" \
2025-12-04T09:39:29.6650938Z   --head-branch "${HEAD_BRANCH}" \
2025-12-04T09:39:29.6651260Z   --head-sha "${HEAD_SHA}" \
2025-12-04T09:39:29.6651599Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-12-04T09:39:29.6651962Z   --run-attempt "${RUN_ATTEMPT}" \
2025-12-04T09:39:29.6652383Z   --job-id "${JOB_ID}" \
2025-12-04T09:39:29.6652683Z   --job-name "${JOB_NAME}"
2025-12-04T09:39:29.6658653Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:39:29.6659021Z env:
2025-12-04T09:39:29.6659244Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:29.6659616Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:29.6660062Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:29.6660562Z   DEVICE_NAME: 
2025-12-04T09:39:29.6660789Z   DEVICE_TYPE: 
2025-12-04T09:39:29.6661018Z   SCHEMA_VERSION: v3
2025-12-04T09:39:29.6661258Z   REPO: pytorch/pytorch
2025-12-04T09:39:29.6661523Z   HEAD_BRANCH: refs/heads/main
2025-12-04T09:39:29.6661851Z   HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:39:29.6662194Z   WORKFLOW_RUN_ID: 19922773007
2025-12-04T09:39:29.6662465Z   RUN_ATTEMPT: 1
2025-12-04T09:39:29.6662693Z   JOB_ID: 57116038959
2025-12-04T09:39:29.6663232Z   JOB_NAME: linux-jammy-py3.10-clang12 / test (slow, 1, 2, linux.2xlarge, rerun_disabled_tests)
2025-12-04T09:39:29.6663743Z ##[endgroup]
2025-12-04T09:39:29.6688319Z + [[ -n '' ]]
2025-12-04T09:39:29.6691390Z + 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 57116038959 --job-name 'linux-jammy-py3.10-clang12 / test (slow, 1, 2, linux.2xlarge, rerun_disabled_tests)'
2025-12-04T09:39:29.7012739Z ##[group]Run set -eux
2025-12-04T09:39:29.7013033Z set -eux
2025-12-04T09:39:29.7013253Z 
2025-12-04T09:39:29.7013480Z if [[ -n "" ]]; then
2025-12-04T09:39:29.7013765Z   source ""
2025-12-04T09:39:29.7014009Z fi
2025-12-04T09:39:29.7014224Z 
2025-12-04T09:39:29.7014632Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-12-04T09:39:29.7020790Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:39:29.7021167Z env:
2025-12-04T09:39:29.7021393Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:29.7021665Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:29.7022100Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:29.7022605Z   DEVICE_NAME: 
2025-12-04T09:39:29.7022993Z   DEVICE_TYPE: 
2025-12-04T09:39:29.7023206Z ##[endgroup]
2025-12-04T09:39:29.7046160Z + [[ -n '' ]]
2025-12-04T09:39:29.7046966Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-12-04T09:39:29.7456521Z INFO:root:Fail to import torch to get the device name
2025-12-04T09:39:29.7553958Z ##[group]Run set -eux
2025-12-04T09:39:29.7554216Z set -eux
2025-12-04T09:39:29.7554470Z 
2025-12-04T09:39:29.7554721Z # TODO (huydhn): Implement this part
2025-12-04T09:39:29.7555094Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:39:29.7561063Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:39:29.7561446Z env:
2025-12-04T09:39:29.7561671Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:29.7561933Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:29.7562399Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:29.7562899Z   DEVICE_NAME: 
2025-12-04T09:39:29.7563126Z   DEVICE_TYPE: 
2025-12-04T09:39:29.7563337Z ##[endgroup]
2025-12-04T09:39:29.7600950Z + echo 'dependencies={}'
2025-12-04T09:39:29.7622368Z ##[group]Run set -eux
2025-12-04T09:39:29.7622653Z set -eux
2025-12-04T09:39:29.7622885Z 
2025-12-04T09:39:29.7623350Z if [[ -n "" ]]; then
2025-12-04T09:39:29.7623627Z   source ""
2025-12-04T09:39:29.7623868Z fi
2025-12-04T09:39:29.7624152Z 
2025-12-04T09:39:29.7624413Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-12-04T09:39:29.7624845Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-12-04T09:39:29.7625339Z   # We don't want the job to fail if the directory doesn't exist
2025-12-04T09:39:29.7625740Z   exit 0
2025-12-04T09:39:29.7625951Z fi
2025-12-04T09:39:29.7626162Z 
2025-12-04T09:39:29.7626412Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-12-04T09:39:29.7626894Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-12-04T09:39:29.7627450Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-12-04T09:39:29.7627883Z     --metadata "${BENCHMARK_METADATA}" \
2025-12-04T09:39:29.7628243Z     --runners "${RUNNER_INFO}" \
2025-12-04T09:39:29.7628580Z     --dependencies "${DEPENDENCIES}" \
2025-12-04T09:39:29.7628973Z     --dry-run
2025-12-04T09:39:29.7629225Z else
2025-12-04T09:39:29.7629592Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-12-04T09:39:29.7630148Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-12-04T09:39:29.7630577Z     --metadata "${BENCHMARK_METADATA}" \
2025-12-04T09:39:29.7630935Z     --runners "${RUNNER_INFO}" \
2025-12-04T09:39:29.7631270Z     --dependencies "${DEPENDENCIES}"
2025-12-04T09:39:29.7631596Z fi
2025-12-04T09:39:29.7637116Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:39:29.7637482Z env:
2025-12-04T09:39:29.7637698Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:29.7637968Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:29.7638401Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:29.7638894Z   DEVICE_NAME: 
2025-12-04T09:39:29.7639117Z   DEVICE_TYPE: 
2025-12-04T09:39:29.7639383Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-12-04T09:39:29.7639691Z   DRY_RUN: false
2025-12-04T09:39:29.7641051Z   BENCHMARK_METADATA: {"timestamp": 1764841169, "schema_version": "v3", "name": "linux-jammy-py3.10-clang12 / test (slow, 1, 2, linux.2xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922773007, "run_attempt": 1, "job_id": 57116038959}
2025-12-04T09:39:29.7642952Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-0-52-184.ec2.internal"}, "name": "", "type": ""}]
2025-12-04T09:39:29.7643603Z   DEPENDENCIES: {}
2025-12-04T09:39:29.7643825Z ##[endgroup]
2025-12-04T09:39:29.7666180Z + [[ -n '' ]]
2025-12-04T09:39:29.7666514Z + [[ ! -d test/test-reports ]]
2025-12-04T09:39:29.7666866Z + [[ false == \t\r\u\e ]]
2025-12-04T09:39:29.7669698Z + 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": 1764841169, "schema_version": "v3", "name": "linux-jammy-py3.10-clang12 / test (slow, 1, 2, linux.2xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922773007, "run_attempt": 1, "job_id": 57116038959}' --runners '[{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-0-52-184.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-12-04T09:39:29.9523381Z /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-29c92b0704b2157e1633.json is not a benchmark record, skipping
2025-12-04T09:39:29.9525296Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T09:39:29.9606027Z /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'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'dynamo/test_wrap_inductor_compiled_regions'}, {'test_file': 'inductor/test_fxir_backend'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'inductor/test_caching'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'inductor/test_distributed_patterns'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'inductor/test_mps_basic'}, {'test_file': 'export/test_nativert'}, {'test_file': 'inductor/test_custom_op_autotune'}, {'test_file': 'export/test_hop'}, {'test_file': 'dynamo/test_tree_map'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'export/test_schema'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'export/test_pass_infra'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'export/test_experimental'}, {'test_file': 'export/test_converter'}, {'test_file': 'export/test_export'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'export/test_upgrader'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'export/test_lift_unlift'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'export/test_verifier'}, {'test_file': 'export/test_sparse'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'export/test_draft_export'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'test_privateuseone_python_backend'}, {'test_file': 'functorch/test_rearrange'}, {'test_file': 'functorch/test_parsing'}, {'test_file': 'test_varlen_attention'}, {'test_file': 'test_package'}, {'test_file': 'test_cuda'}, {'test_file': 'profiler/test_profiler'}, {'test_file': 'test_mkl_verbose'}, {'test_file': 'test_comparison_utils'}, {'test_file': 'functorch/test_ac_logging'}, {'test_file': 'test_mkldnn_verbose'}, {'test_file': 'test_cpp_api_parity'}, {'test_file': 'test_utils_config_module'}, {'test_file': 'test_hop_infra'}, {'test_file': 'test_transformers'}, {'test_file': 'test_appending_byte_serializer'}, {'test_file': 'test_license'}, {'test_file': 'test_ao_sparsity'}, {'test_file': 'test_autoload'}, {'test_file': 'nn/attention/test_open_registry'}, {'test_file': 'xpu/test_fusion'}, {'test_file': 'test_as_strided'}, {'test_file': 'test_foreach'}, {'test_file': 'test_proxy_tensor'}, {'test_file': 'torch_np/test_binary_ufuncs'}, {'test_file': 'torch_np/test_unary_ufuncs'}, {'test_file': 'test_utils_filelock'}, {'test_file': 'test_extension_utils'}, {'test_file': 'test_rename_privateuse1_to_existing_device'}, {'test_file': 'nn/attention/test_fa4'}, {'test_file': 'typing/test_python_operators'}, {'test_file': 'test_functionalization'}, {'test_file': 'test_matmul_cuda'}, {'test_file': 'torch_np/test_dtype'}, {'test_file': 'test_file_check'}, {'test_file': 'profiler/test_kineto'}, {'test_file': 'test_flop_counter'}, {'test_file': 'backends/xeon/test_launch'}, {'test_file': 'test_show_pickle'}, {'test_file': 'test_openmp'}, {'test_file': 'test_expanded_weights'}, {'test_file': 'test_module_tracker'}, {'test_file': 'test_autograd'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarinherit'}, {'test_file': 'test_tensorexpr_pybind'}, {'test_file': 'test_fx_experimental'}, {'test_file': 'functorch/test_ac_knapsack'}, {'test_file': 'torch_np/test_nep50_examples'}, {'test_file': 'test_torch'}, {'test_file': 'xpu/test_gemm'}, {'test_file': 'test_sparse'}, {'test_file': 'test_fx_passes'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'test_namedtensor'}, {'test_file': 'test_tensorexpr'}, {'test_file': 'test_dataloader'}, {'test_file': 'functorch/test_minifier'}, {'test_file': 'higher_order_ops/test_invoke_quant'}, {'test_file': 'torch_np/test_basic'}, {'test_file': 'test_jiterator'}, {'test_file': 'test_native_functions'}, {'test_file': 'test_typing'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'test_weak'}, {'test_file': 'test_decomp'}, {'test_file': 'test_complex'}, {'test_file': 'test_optim'}, {'test_file': 'lazy/test_functionalization'}, {'test_file': 'torch_np/test_random'}, {'test_file': 'nn/test_multihead_attention'}, {'test_file': 'test_legacy_vmap'}, {'test_file': 'lazy/test_bindings'}, {'test_file': 'xpu/test_conv'}, {'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-d715f41e1e1346dc541b.json is not a benchmark record, skipping
2025-12-04T09:39:29.9683974Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T09:39:29.9687879Z /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-98dcc12d6ad830efb48a.json is not a benchmark record, skipping
2025-12-04T09:39:29.9691700Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T09:39:29.9769314Z ##[group]Run cat test/**/*_toprint.log || true
2025-12-04T09:39:29.9769799Z cat test/**/*_toprint.log || true
2025-12-04T09:39:29.9775999Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:39:29.9776372Z env:
2025-12-04T09:39:29.9776596Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:29.9776964Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:29.9777396Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:29.9777901Z   DEVICE_NAME: 
2025-12-04T09:39:29.9778136Z   DEVICE_TYPE: 
2025-12-04T09:39:29.9778379Z ##[endgroup]
2025-12-04T09:39:29.9869170Z Test results will be stored in test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-89259b446e12f5e2.xml
2025-12-04T09:39:29.9869898Z ============================= test session starts ==============================
2025-12-04T09:39:29.9870748Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python
2025-12-04T09:39:29.9871307Z cachedir: .pytest_cache
2025-12-04T09:39:29.9871924Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2025-12-04T09:39:29.9872601Z rootdir: /var/lib/jenkins/workspace
2025-12-04T09:39:29.9872909Z configfile: pytest.ini
2025-12-04T09:39:29.9873657Z 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
2025-12-04T09:39:29.9874347Z collecting ... collected 2 items
2025-12-04T09:39:29.9874706Z stepcurrent: Cannot find last run test, not skipping
2025-12-04T09:39:29.9875072Z Running 0 items in this shard: 
2025-12-04T09:39:29.9875274Z 
2025-12-04T09:39:29.9876074Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-89259b446e12f5e2.xml -
2025-12-04T09:39:29.9876963Z ============================ no tests ran in 0.01s =============================
2025-12-04T09:39:29.9900689Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-12-04T09:39:29.9901054Z kill "$MONITOR_SCRIPT_PID"
2025-12-04T09:39:29.9906664Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:39:29.9907033Z env:
2025-12-04T09:39:29.9907250Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:29.9907537Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:29.9907968Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:29.9908470Z   DEVICE_NAME: 
2025-12-04T09:39:29.9908697Z   DEVICE_TYPE: 
2025-12-04T09:39:29.9908932Z   MONITOR_SCRIPT_PID: 42996
2025-12-04T09:39:29.9909189Z ##[endgroup]
2025-12-04T09:39:29.9932418Z /home/ec2-user/actions-runner/_work/_temp/776d344c-8566-4e40-b504-7316f690f13c.sh: line 1: kill: (42996) - No such process
2025-12-04T09:39:29.9942616Z ##[error]Process completed with exit code 1.
2025-12-04T09:39:30.0080750Z Prepare all required actions
2025-12-04T09:39:30.0081155Z Getting action download info
2025-12-04T09:39:30.1813034Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-12-04T09:39:30.5206241Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-12-04T09:39:31.0170572Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-12-04T09:39:31.0170957Z with:
2025-12-04T09:39:31.0171243Z   file-suffix: test-slow-1-2-linux.2xlarge_57116038959
2025-12-04T09:39:31.0171616Z   s3-bucket: gha-artifacts
2025-12-04T09:39:31.0171864Z env:
2025-12-04T09:39:31.0172079Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:31.0172347Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:31.0193095Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:31.0193621Z   DEVICE_NAME: 
2025-12-04T09:39:31.0193860Z   DEVICE_TYPE: 
2025-12-04T09:39:31.0194136Z ##[endgroup]
2025-12-04T09:39:31.0261232Z ##[group]Run # Remove any previous test jsons if they exist
2025-12-04T09:39:31.0261678Z # Remove any previous test jsons if they exist
2025-12-04T09:39:31.0262046Z rm -f test-jsons-*.zip
2025-12-04T09:39:31.0262457Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-12-04T09:39:31.0268437Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:39:31.0268911Z env:
2025-12-04T09:39:31.0269105Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:31.0269361Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:31.0269791Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:31.0270266Z   DEVICE_NAME: 
2025-12-04T09:39:31.0270474Z   DEVICE_TYPE: 
2025-12-04T09:39:31.0270737Z   FILE_SUFFIX: test-slow-1-2-linux.2xlarge_57116038959
2025-12-04T09:39:31.0271080Z ##[endgroup]
2025-12-04T09:39:31.0461469Z   adding: test/test-reports/td_exclusions-29c92b0704b2157e1633.json (deflated 16%)
2025-12-04T09:39:31.0462282Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-14505e86ae83f411.json (stored 0%)
2025-12-04T09:39:31.0463238Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-ec7370be304cd45e.json (stored 0%)
2025-12-04T09:39:31.0464270Z   adding: test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-4c95d6a363c0d107.json (stored 0%)
2025-12-04T09:39:31.0465435Z   adding: test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-89259b446e12f5e2.json (stored 0%)
2025-12-04T09:39:31.0466492Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-14f151d167b9e9b0.json (stored 0%)
2025-12-04T09:39:31.0467633Z   adding: test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-9b5d0816ae090044.json (stored 0%)
2025-12-04T09:39:31.0468843Z   adding: test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-c4abb92b4ae93e2f.json (stored 0%)
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2025-12-04T09:39:31.0471024Z   adding: test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-d2a648c70118ea25.json (stored 0%)
2025-12-04T09:39:31.0472091Z   adding: test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-177d6420ecd24ea5.json (stored 0%)
2025-12-04T09:39:31.0473046Z   adding: test/test-reports/python-pytest/test_extension_utils/test_extension_utils-642c0e9636a9fcf0.json (stored 0%)
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2025-12-04T09:39:31.0474830Z   adding: test/test-reports/python-pytest/test_torch/test_torch-d771c64c38195471.json (deflated 99%)
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2025-12-04T09:39:31.0476939Z   adding: test/test-reports/python-pytest/test_utils/test_utils-7b0a96ac7f2ae20b.json (deflated 99%)
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2025-12-04T09:39:31.0478885Z   adding: test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-3f5fa27a9d36c67f.json (deflated 98%)
2025-12-04T09:39:31.0479857Z   adding: test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-f2cb934669dfa815.json (deflated 99%)
2025-12-04T09:39:31.0493100Z   adding: test/test-reports/python-pytest/test_fx/test_fx-b6c2dacc495dd125.json (deflated 99%)
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2025-12-04T09:39:31.0497837Z   adding: test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-4e1881a75f9e8ae7.json (stored 0%)
2025-12-04T09:39:31.0499151Z   adding: test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-b1ae2cf4a8a90a22.json (stored 0%)
2025-12-04T09:39:31.0500428Z   adding: test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-e49ed7a0a40ed955.json (stored 0%)
2025-12-04T09:39:31.0501543Z   adding: test/test-reports/python-pytest/test_cpp_extensions_stream_and_event/test_cpp_extensions_stream_and_event-33a273a318d0b2b6.json (stored 0%)
2025-12-04T09:39:31.0502585Z   adding: test/test-reports/python-pytest/test_dispatch/test_dispatch-8c717b33832ac71c.json (stored 0%)
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2025-12-04T09:39:31.0504481Z   adding: test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-44aa45811032ee9c.json (stored 0%)
2025-12-04T09:39:31.0505394Z   adding: test/test-reports/python-pytest/test_nn/test_nn-140289bd47af93fc.json (stored 0%)
2025-12-04T09:39:31.0506311Z   adding: test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-19c1c465fea6c866.json (stored 0%)
2025-12-04T09:39:31.0507293Z   adding: test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-e5e438485ff793bd.json (stored 0%)
2025-12-04T09:39:31.0508173Z   adding: test/test-reports/python-pytest/test_native_mha/test_native_mha-cd14cbea678feffd.json (stored 0%)
2025-12-04T09:39:31.0509120Z   adding: test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-8daea136acfc6fd9.json (deflated 99%)
2025-12-04T09:39:31.0510083Z   adding: test/test-reports/python-pytest/test_overrides/test_overrides-207982077052e719.json (deflated 99%)
2025-12-04T09:39:31.0510984Z   adding: test/test-reports/python-pytest/test_reductions/test_reductions-be80766dd921b8ba.json (deflated 98%)
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2025-12-04T09:39:31.0512969Z   adding: test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-ba83d727e641b856.json (deflated 98%)
2025-12-04T09:39:31.0514160Z   adding: test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-a6f12782d6c11deb.json (stored 0%)
2025-12-04T09:39:31.0515372Z   adding: test/test-reports/python-pytest/test_cpp_extensions_aot_no_ninja/test_cpp_extensions_aot_no_ninja-acfd1545795d6c54.json (stored 0%)
2025-12-04T09:39:31.0516564Z   adding: test/test-reports/python-pytest/test_functional_autograd_benchmark/test_functional_autograd_benchmark-ebbb5d77f7a6e71f.json (stored 0%)
2025-12-04T09:39:31.0517776Z   adding: test/test-reports/python-pytest/test_functional_autograd_benchmark/test_functional_autograd_benchmark-e3a81676d63b4115.json (stored 0%)
2025-12-04T09:39:31.0519083Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-76a06cbc00f4f1ab.json (stored 0%)
2025-12-04T09:39:31.0520472Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-670f28783ded6e6e.json (stored 0%)
2025-12-04T09:39:31.0521925Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-f5e38bc8ca9294c5.json (stored 0%)
2025-12-04T09:39:31.0523456Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-92c00ddc2c07be4f.json (stored 0%)
2025-12-04T09:39:31.0524964Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-9e96c8ae7d92ca80.json (stored 0%)
2025-12-04T09:39:31.0526491Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-0a59892b3bce0c20.json (stored 0%)
2025-12-04T09:39:31.0528001Z   adding: test/test-reports/python-pytest/dynamo.test_after_aot/dynamo.test_after_aot-7c514785ca5ae5e5.json (stored 0%)
2025-12-04T09:39:31.0529279Z   adding: test/test-reports/python-pytest/dynamo.test_after_aot/dynamo.test_after_aot-e85014bd5653cc9e.json (stored 0%)
2025-12-04T09:39:31.0530493Z   adding: test/test-reports/python-pytest/inductor.test_minifier/inductor.test_minifier-4cce70d9593e116e.json (stored 0%)
2025-12-04T09:39:31.0531571Z   adding: test/test-reports/python-pytest/inductor.test_minifier/inductor.test_minifier-33ce4adacd39117d.json (stored 0%)
2025-12-04T09:39:31.0532898Z   adding: test/test-reports/python-pytest/inductor.test_compiled_autograd/inductor.test_compiled_autograd-fba6ce10f8c81518.json (stored 0%)
2025-12-04T09:39:31.0534101Z   adding: test/test-reports/python-pytest/inductor.test_compiled_autograd/inductor.test_compiled_autograd-84be16a88e1db668.json (deflated 98%)
2025-12-04T09:39:31.0535583Z   adding: test/test-reports/python-pytest/inductor.test_custom_lowering/inductor.test_custom_lowering-35e12678de97f74f.json (stored 0%)
2025-12-04T09:39:31.0537263Z   adding: test/test-reports/python-pytest/inductor.test_custom_lowering/inductor.test_custom_lowering-8b713d0f73a599bd.json (stored 0%)
2025-12-04T09:39:31.0538411Z   adding: test/test-reports/python-pytest/inductor.test_fused_attention/inductor.test_fused_attention-ff5f45ffd04ad635.json (stored 0%)
2025-12-04T09:39:31.0539665Z   adding: test/test-reports/python-pytest/inductor.test_fused_attention/inductor.test_fused_attention-333545d9a4d549e5.json (stored 0%)
2025-12-04T09:39:31.0541322Z   adding: test/test-reports/python-pytest/dynamo.test_activation_checkpointing/dynamo.test_activation_checkpointing-7a105853f9702d42.json (stored 0%)
2025-12-04T09:39:31.0543378Z   adding: test/test-reports/python-pytest/dynamo.test_activation_checkpointing/dynamo.test_activation_checkpointing-3efa4ce968455a61.json (stored 0%)
2025-12-04T09:39:31.0544748Z   adding: test/test-reports/python-pytest/inductor.test_binary_folding/inductor.test_binary_folding-cd15906ba523886d.json (stored 0%)
2025-12-04T09:39:31.0545884Z   adding: test/test-reports/python-pytest/inductor.test_binary_folding/inductor.test_binary_folding-cf6af4f42d04785c.json (stored 0%)
2025-12-04T09:39:31.0547087Z   adding: test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-f63ab7b826a60f7f.json (stored 0%)
2025-12-04T09:39:31.0548450Z   adding: test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-66047c3970945dde.json (stored 0%)
2025-12-04T09:39:31.0549730Z   adding: test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-ee3675f1bad3031f.json (deflated 98%)
2025-12-04T09:39:31.0550999Z   adding: test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-6df46337fa62459b.json (stored 0%)
2025-12-04T09:39:31.0552111Z   adding: test/test-reports/python-pytest/dynamo.test_logging/dynamo.test_logging-0d9f06f2e92f1618.json (stored 0%)
2025-12-04T09:39:31.0553079Z   adding: test/test-reports/python-pytest/dynamo.test_logging/dynamo.test_logging-fe7e534f09227acb.json (stored 0%)
2025-12-04T09:39:31.0554138Z   adding: test/test-reports/python-pytest/inductor.test_inductor_freezing/inductor.test_inductor_freezing-99dac250645afb53.json (stored 0%)
2025-12-04T09:39:31.0555346Z   adding: test/test-reports/python-pytest/inductor.test_inductor_freezing/inductor.test_inductor_freezing-fbc617b28fbf3d6d.json (deflated 99%)
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2025-12-04T09:39:31.0778288Z ##[group]Run # Remove any previous test reports if they exist
2025-12-04T09:39:31.0778779Z # Remove any previous test reports if they exist
2025-12-04T09:39:31.0779173Z rm -f test-reports-*.zip
2025-12-04T09:39:31.0779747Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-12-04T09:39:31.0785591Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:39:31.0785959Z env:
2025-12-04T09:39:31.0786175Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:31.0786453Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:31.0786895Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:31.0787393Z   DEVICE_NAME: 
2025-12-04T09:39:31.0787619Z   DEVICE_TYPE: 
2025-12-04T09:39:31.0787893Z   FILE_SUFFIX: test-slow-1-2-linux.2xlarge_57116038959
2025-12-04T09:39:31.0788241Z ##[endgroup]
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2025-12-04T09:39:31.1220121Z ##[group]Run # Remove any previous usage logs if they exist
2025-12-04T09:39:31.1220584Z # Remove any previous usage logs if they exist
2025-12-04T09:39:31.1220959Z rm -f logs-*.zip
2025-12-04T09:39:31.1221314Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-12-04T09:39:31.1221829Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-12-04T09:39:31.1227371Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:39:31.1227749Z env:
2025-12-04T09:39:31.1227971Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:31.1228282Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:31.1228733Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:31.1229235Z   DEVICE_NAME: 
2025-12-04T09:39:31.1229451Z   DEVICE_TYPE: 
2025-12-04T09:39:31.1229740Z   FILE_SUFFIX: test-slow-1-2-linux.2xlarge_57116038959
2025-12-04T09:39:31.1230097Z ##[endgroup]
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2025-12-04T09:39:31.1596218Z   adding: test/test-reports/torch_np.numpy_tests.linalg.test_linalg_1.1_4450af1c6e5462df_.log (deflated 52%)
2025-12-04T09:39:31.1597059Z   adding: test/test-reports/torch_np.numpy_tests.core.test_dtype_1.1_9e7c45b77699c09f_.log (deflated 52%)
2025-12-04T09:39:31.1597889Z   adding: test/test-reports/torch_np.numpy_tests.lib.test_twodim_base_1.1_245ba2ca46fdc316_.log (deflated 52%)
2025-12-04T09:39:31.1598712Z   adding: test/test-reports/profiler.test_memory_profiler_1.1_15954323efdf1987_.log (deflated 51%)
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2025-12-04T09:39:31.1600361Z   adding: test/test-reports/inductor.test_collective_autotuning_1.1_0e722078fedb8731_.log (stored 0%)
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2025-12-04T09:39:31.1603941Z   adding: test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_2.2_f72e39de7a4a4c45_.log (deflated 53%)
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2025-12-04T09:39:31.1614394Z   adding: test/test-reports/inductor.test_cpu_select_algorithm_1.1_b42f97b1ab9bc366_.log (deflated 51%)
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2025-12-04T09:39:31.1616829Z   adding: test/test-reports/inductor.test_compile_subprocess_1.1_e00b782fce131596_.log (deflated 98%)
2025-12-04T09:39:31.1617604Z   adding: test/test-reports/inductor.test_triton_syntax_1.1_ccea722cebe388da_.log (stored 0%)
2025-12-04T09:39:31.1618343Z   adding: test/test-reports/inductor.test_gpu_cpp_wrapper_1.1_30d42bfc284d8719_.log (stored 0%)
2025-12-04T09:39:31.1619118Z   adding: test/test-reports/inductor.test_native_matmul_1.1_732de3048ef809e2_.log (stored 0%)
2025-12-04T09:39:31.1619935Z   adding: test/test-reports/inductor.test_loop_ordering_1.1_e823a55d77e03dda_.log (stored 0%)
2025-12-04T09:39:31.1620722Z   adding: test/test-reports/inductor.test_move_constructors_to_gpu_1.1_f41ac0d4546cb768_.log (stored 0%)
2025-12-04T09:39:31.1621513Z   adding: test/test-reports/inductor.test_inplace_padding_1.1_c28963fca83d2304_.log (stored 0%)
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2025-12-04T09:39:31.1622989Z   adding: test/test-reports/inductor.test_op_dtype_prop_1.1_2fd2370c8328ca3b_.log (stored 0%)
2025-12-04T09:39:31.1623734Z   adding: test/test-reports/inductor.test_inplacing_pass_1.1_680780c7499a4dd4_.log (deflated 50%)
2025-12-04T09:39:31.1624506Z   adding: test/test-reports/inductor.test_split_cat_fx_passes_1.1_413ed05ce67b5f05_.log (stored 0%)
2025-12-04T09:39:31.1625258Z   adding: test/test-reports/inductor.test_memory_planning_1.1_30bdc6dbf8a0e3ff_.log (stored 0%)
2025-12-04T09:39:31.1626032Z   adding: test/test-reports/inductor.test_mix_order_reduction_1.1_ce4f2e426ecf43f7_.log (stored 0%)
2025-12-04T09:39:31.1626809Z   adding: test/test-reports/inductor.test_needs_exact_strides_1.1_009fc6464d68eccd_.log (stored 0%)
2025-12-04T09:39:31.1627556Z   adding: test/test-reports/inductor.test_fxir_backend_1.1_8b26ec3ec7c1c525_.log (stored 0%)
2025-12-04T09:39:31.1628303Z   adding: test/test-reports/inductor.test_mps_basic_1.1_492ab7392627e317_.log (stored 0%)
2025-12-04T09:39:31.1629114Z   adding: test/test-reports/inductor.test_cudagraph_trees_expandable_segments_1.1_53675b1b901b67d8_.log (stored 0%)
2025-12-04T09:39:31.1629947Z   adding: test/test-reports/functorch.test_minifier_1.1_c7b45bde62dd765f_.log (deflated 50%)
2025-12-04T09:39:31.1630722Z   adding: test/test-reports/higher_order_ops.test_invoke_quant_1.1_49b97a9ce96da946_.log (deflated 51%)
2025-12-04T09:39:31.1631457Z   adding: test/test-reports/torch_np.test_basic_1.1_f5a4dc7a88e3e0de_.log (deflated 49%)
2025-12-04T09:39:31.1632152Z   adding: test/test-reports/test_native_functions_1.1_1d58e06bc42a9d7a_.log (deflated 49%)
2025-12-04T09:39:31.1632907Z   adding: test/test-reports/higher_order_ops.test_with_effects_1.1_7260e945d7a24255_.log (deflated 51%)
2025-12-04T09:39:31.1633715Z   adding: test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_595e9d40315a111c_.log (deflated 95%)
2025-12-04T09:39:31.1634517Z   adding: test/test-reports/lazy.test_functionalization_1.1_cd52fa00602da54c_.log (deflated 50%)
2025-12-04T09:39:31.1635246Z   adding: test/test-reports/torch_np.test_random_1.1_b38b050ad265a8de_.log (deflated 50%)
2025-12-04T09:39:31.1635964Z   adding: test/test-reports/nn.test_multihead_attention_1.1_3496aa6074e2608f_.log (deflated 50%)
2025-12-04T09:39:31.1636720Z   adding: test/test-reports/profiler.test_record_function_1.1_8d3a42d0f612948f_.log (deflated 51%)
2025-12-04T09:39:31.1637481Z   adding: test/test-reports/test_compile_benchmark_util_1.1_4848b41d4d847d6d_.log (deflated 50%)
2025-12-04T09:39:31.1638309Z   adding: test/test-reports/test_set_default_mobile_cpu_allocator_1.1_7ecfc726c8e90bba_.log (deflated 51%)
2025-12-04T09:39:31.1639102Z   adding: test/test-reports/higher_order_ops.test_print_1.1_4d91b9bb1a373549_.log (deflated 50%)
2025-12-04T09:39:31.1639814Z   adding: test/test-reports/test_per_overload_api_1.1_b26a1c18270c5ed6_.log (deflated 49%)
2025-12-04T09:39:31.1640588Z   adding: test/test-reports/torch_np.numpy_tests.core.test_einsum_1.1_01d5687bfb332b84_.log (deflated 52%)
2025-12-04T09:39:31.1641375Z   adding: test/test-reports/torch_np.test_ufuncs_basic_1.1_c38931d899ab6c5b_.log (deflated 50%)
2025-12-04T09:39:31.1642095Z   adding: test/test-reports/lazy.test_step_closures_1.1_890e0966fa9c2301_.log (deflated 50%)
2025-12-04T09:39:31.1642833Z   adding: test/test-reports/functorch.dim.test_getsetitem_1.1_060d0f1c397e5f20_.log (deflated 51%)
2025-12-04T09:39:31.1643570Z   adding: test/test-reports/test_ops_fwd_gradients_1.1_1ef3e00fd0600692_.log (deflated 49%)
2025-12-04T09:39:31.1644317Z   adding: test/test-reports/profiler.test_cpp_thread_1.1_362a9939ab9962aa_.log (deflated 50%)
2025-12-04T09:39:31.1645030Z   adding: test/test-reports/test_segment_reductions_1.1_d727b36a673826ac_.log (deflated 50%)
2025-12-04T09:39:31.1645830Z   adding: test/test-reports/functorch.test_aot_joint_with_descriptors_1.1_12cdd6cfb6bfcb5e_.log (deflated 52%)
2025-12-04T09:39:31.1646685Z   adding: test/test-reports/distributions.test_constraints_1.1_f2a083bddce4630f_.log (deflated 51%)
2025-12-04T09:39:31.1647504Z   adding: test/test-reports/test_functionalization_of_rng_ops_1.1_d037bcc49f982a1b_.log (deflated 51%)
2025-12-04T09:39:31.1648248Z   adding: test/test-reports/test_fx_reinplace_pass_1.1_9f2422983b56402c_.log (deflated 49%)
2025-12-04T09:39:31.1648978Z   adding: test/test-reports/functorch.test_control_flow_1.1_2c92088cbb2feb6c_.log (deflated 50%)
2025-12-04T09:39:31.1649713Z   adding: test/test-reports/nn.test_packed_sequence_1.1_606b006234328f75_.log (deflated 50%)
2025-12-04T09:39:31.1650405Z   adding: test/test-reports/nn.test_lazy_modules_1.1_2e919640719134fd_.log (deflated 49%)
2025-12-04T09:39:31.1651067Z   adding: test/test-reports/test_cuda_sanitizer_1.1_f005c5323295eba8_.log (deflated 49%)
2025-12-04T09:39:31.1651748Z   adding: test/test-reports/test_bundled_inputs_1.1_813c6089e024ba8d_.log (deflated 49%)
2025-12-04T09:39:31.1652507Z   adding: test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_9d78cd6812d88a2a_.log (deflated 52%)
2025-12-04T09:39:31.1653421Z   adding: test/test-reports/torch_np.numpy_tests.core.test_multiarray_1.2_76e80fc48f22ad83_.log (deflated 52%)
2025-12-04T09:39:31.1654188Z   adding: test/test-reports/optim.test_swa_utils_1.1_fc99c3455803eceb_.log (deflated 7%)
2025-12-04T09:39:31.1654881Z   adding: test/test-reports/functorch.test_dims_1.1_e05d7b6c71b9b70b_.log (deflated 92%)
2025-12-04T09:39:31.1655657Z   adding: test/test-reports/torch_np.numpy_tests.core.test_scalarmath_1.1_213715f0764a6206_.log (deflated 52%)
2025-12-04T09:39:31.1656433Z   adding: test/test-reports/test_scaled_matmul_cuda_1.1_7e3738a427e430c3_.log (deflated 50%)
2025-12-04T09:39:31.1657229Z   adding: test/test-reports/torch_np.numpy_tests.core.test_shape_base_1.1_ec17a0f3cf5ace45_.log (deflated 52%)
2025-12-04T09:39:31.1657977Z   adding: test/test-reports/test_vulkan_1.1_1573a2020f4e3c4b_.log (deflated 48%)
2025-12-04T09:39:31.1658628Z   adding: test/test-reports/lazy.test_generator_1.1_9b5ee31c992bfc83_.log (deflated 49%)
2025-12-04T09:39:31.1659385Z   adding: test/test-reports/torch_np.numpy_tests.linalg.test_linalg_1.1_9458f9484412dc71_.log (deflated 52%)
2025-12-04T09:39:31.1660313Z   adding: test/test-reports/torch_np.numpy_tests.core.test_dtype_1.1_11bd497cd24e4e61_.log (deflated 51%)
2025-12-04T09:39:31.1661066Z   adding: test/test-reports/lazy.test_debug_util_1.1_1b1641b822f911d7_.log (deflated 49%)
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2025-12-04T09:39:31.1664058Z   adding: test/test-reports/profiler.test_memory_profiler_1.1_1ee1d9321697ec9f_.log (deflated 96%)
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2025-12-04T09:39:31.1665452Z   adding: test/test-reports/test_serialization_1.1_fca93a9c89aa93be_.log (deflated 63%)
2025-12-04T09:39:31.1666220Z   adding: test/test-reports/torch_np.numpy_tests.fft.test_pocketfft_1.1_0ee3752d59eac26a_.log (deflated 52%)
2025-12-04T09:39:31.1666974Z   adding: test/test-reports/test_sparse_csr_1.1_29e8c145d8ee7a9c_.log (deflated 48%)
2025-12-04T09:39:31.1667673Z   adding: test/test-reports/functorch.test_aotdispatch_2.3_ad21f690cbbcb5ba_.log (deflated 52%)
2025-12-04T09:39:31.1668494Z   adding: test/test-reports/functorch.test_aotdispatch_3.3_4514aabc37debcea_.log (deflated 94%)
2025-12-04T09:39:31.1669208Z   adding: test/test-reports/test_cuda_multigpu_1.1_49f399a8118dd593_.log (deflated 49%)
2025-12-04T09:39:31.1669887Z   adding: test/test-reports/functorch.test_ops_1.1_3d78eaf09e14e262_.log (deflated 49%)
2025-12-04T09:39:31.1692792Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-12-04T09:39:31.1693424Z # Remove any previous debugging artifacts if they exist
2025-12-04T09:39:31.1693836Z rm -f debug-*.zip
2025-12-04T09:39:31.1694122Z if [ -d 'test/debug' ]; then
2025-12-04T09:39:31.1694489Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-12-04T09:39:31.1694820Z fi
2025-12-04T09:39:31.1700607Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:39:31.1700983Z env:
2025-12-04T09:39:31.1701186Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:31.1701467Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:31.1701920Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:31.1702422Z   DEVICE_NAME: 
2025-12-04T09:39:31.1702634Z   DEVICE_TYPE: 
2025-12-04T09:39:31.1702922Z   FILE_SUFFIX: test-slow-1-2-linux.2xlarge_57116038959
2025-12-04T09:39:31.1703276Z ##[endgroup]
2025-12-04T09:39:31.1826720Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T09:39:31.1827311Z with:
2025-12-04T09:39:31.1827698Z   s3-bucket: gha-artifacts
2025-12-04T09:39:31.1828432Z   s3-prefix: pytorch/pytorch/19922773007/1/artifact

2025-12-04T09:39:31.1829037Z   retention-days: 14
2025-12-04T09:39:31.1829445Z   if-no-files-found: warn
2025-12-04T09:39:31.1829907Z   path: test-jsons-*.zip
2025-12-04T09:39:31.1830351Z   name: artifact
2025-12-04T09:39:31.1830729Z   region: us-east-1
2025-12-04T09:39:31.1831131Z env:
2025-12-04T09:39:31.1831484Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:31.1831962Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:31.1832801Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:31.1833759Z   DEVICE_NAME: 
2025-12-04T09:39:31.1834174Z   DEVICE_TYPE: 
2025-12-04T09:39:31.1834560Z ##[endgroup]
2025-12-04T09:39:31.5388500Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T09:39:31.5389001Z With the provided path, there will be 1 file uploaded
2025-12-04T09:39:31.5389461Z Uploading to s3 prefix: pytorch/pytorch/19922773007/1/artifact
2025-12-04T09:39:31.5436732Z Starting upload of test-jsons-test-slow-1-2-linux.2xlarge_57116038959.zip
2025-12-04T09:39:31.6861369Z Finished upload of test-jsons-test-slow-1-2-linux.2xlarge_57116038959.zip
2025-12-04T09:39:31.7046085Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T09:39:31.7046421Z with:
2025-12-04T09:39:31.7046644Z   s3-bucket: gha-artifacts
2025-12-04T09:39:31.7046968Z   s3-prefix: pytorch/pytorch/19922773007/1/artifact

2025-12-04T09:39:31.7047306Z   retention-days: 14
2025-12-04T09:39:31.7047565Z   if-no-files-found: error
2025-12-04T09:39:31.7047962Z   path: test-reports-*.zip
2025-12-04T09:39:31.7048214Z   name: artifact
2025-12-04T09:39:31.7048444Z   region: us-east-1
2025-12-04T09:39:31.7048673Z env:
2025-12-04T09:39:31.7048871Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:31.7049137Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:31.7049583Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:31.7050082Z   DEVICE_NAME: 
2025-12-04T09:39:31.7050295Z   DEVICE_TYPE: 
2025-12-04T09:39:31.7050516Z ##[endgroup]
2025-12-04T09:39:32.0603603Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T09:39:32.0604093Z With the provided path, there will be 1 file uploaded
2025-12-04T09:39:32.0604545Z Uploading to s3 prefix: pytorch/pytorch/19922773007/1/artifact
2025-12-04T09:39:32.0652350Z Starting upload of test-reports-test-slow-1-2-linux.2xlarge_57116038959.zip
2025-12-04T09:39:32.2557859Z Finished upload of test-reports-test-slow-1-2-linux.2xlarge_57116038959.zip
2025-12-04T09:39:32.2744158Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T09:39:32.2744491Z with:
2025-12-04T09:39:32.2744716Z   s3-bucket: gha-artifacts
2025-12-04T09:39:32.2745042Z   s3-prefix: pytorch/pytorch/19922773007/1/artifact

2025-12-04T09:39:32.2745382Z   retention-days: 14
2025-12-04T09:39:32.2745636Z   if-no-files-found: ignore
2025-12-04T09:39:32.2745908Z   path: logs-*.zip
2025-12-04T09:39:32.2746129Z   name: artifact
2025-12-04T09:39:32.2746357Z   region: us-east-1
2025-12-04T09:39:32.2746585Z env:
2025-12-04T09:39:32.2746804Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:32.2747072Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:32.2747523Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:32.2748021Z   DEVICE_NAME: 
2025-12-04T09:39:32.2748234Z   DEVICE_TYPE: 
2025-12-04T09:39:32.2748455Z ##[endgroup]
2025-12-04T09:39:32.6017899Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T09:39:32.6018445Z With the provided path, there will be 1 file uploaded
2025-12-04T09:39:32.6018921Z Uploading to s3 prefix: pytorch/pytorch/19922773007/1/artifact
2025-12-04T09:39:32.6066619Z Starting upload of logs-test-slow-1-2-linux.2xlarge_57116038959.zip
2025-12-04T09:39:32.7793053Z Finished upload of logs-test-slow-1-2-linux.2xlarge_57116038959.zip
2025-12-04T09:39:32.7995070Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T09:39:32.7995402Z with:
2025-12-04T09:39:32.7995626Z   s3-bucket: gha-artifacts
2025-12-04T09:39:32.7995953Z   s3-prefix: pytorch/pytorch/19922773007/1/artifact

2025-12-04T09:39:32.7996466Z   retention-days: 14
2025-12-04T09:39:32.7996727Z   if-no-files-found: ignore
2025-12-04T09:39:32.7997004Z   path: debug-*.zip
2025-12-04T09:39:32.7997238Z   name: artifact
2025-12-04T09:39:32.7997457Z   region: us-east-1
2025-12-04T09:39:32.7997689Z env:
2025-12-04T09:39:32.7997903Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:32.7998163Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:32.7998612Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:32.7999130Z   DEVICE_NAME: 
2025-12-04T09:39:32.7999346Z   DEVICE_TYPE: 
2025-12-04T09:39:32.7999576Z ##[endgroup]
2025-12-04T09:39:33.1183375Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-12-04T09:39:33.1373568Z ##[group]Run # shellcheck disable=SC2156
2025-12-04T09:39:33.1373961Z # shellcheck disable=SC2156
2025-12-04T09:39:33.1374560Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-12-04T09:39:33.1381734Z shell: /usr/bin/bash -e {0}
2025-12-04T09:39:33.1382029Z env:
2025-12-04T09:39:33.1382249Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:33.1382522Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:33.1382957Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:33.1383457Z   DEVICE_NAME: 
2025-12-04T09:39:33.1383680Z   DEVICE_TYPE: 
2025-12-04T09:39:33.1383899Z ##[endgroup]
2025-12-04T09:39:33.4650730Z Prepare all required actions
2025-12-04T09:39:33.4651344Z Getting action download info
2025-12-04T09:39:33.6279191Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548)
2025-12-04T09:39:33.9376038Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-12-04T09:39:33.9376408Z with:
2025-12-04T09:39:33.9376621Z   job_id: 57116038959
2025-12-04T09:39:33.9377072Z   job_name: linux-jammy-py3.10-clang12 / test (slow, 1, 2, linux.2xlarge, rerun_disabled_tests)
2025-12-04T09:39:33.9377588Z   workflow_name: slow
2025-12-04T09:39:33.9377831Z   workflow_run_id: 19922773007
2025-12-04T09:39:33.9378107Z   workflow_attempt: 1
2025-12-04T09:39:33.9378343Z env:
2025-12-04T09:39:33.9378544Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:33.9378810Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:33.9379256Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:33.9379816Z   DEVICE_NAME: 
2025-12-04T09:39:33.9380196Z   DEVICE_TYPE: 
2025-12-04T09:39:33.9380410Z ##[endgroup]
2025-12-04T09:39:33.9416505Z ##[group]Run actions/setup-python@v6
2025-12-04T09:39:33.9416818Z with:
2025-12-04T09:39:33.9417038Z   python-version: 3.10
2025-12-04T09:39:33.9417309Z   check-latest: false
2025-12-04T09:39:33.9417669Z   token: ***
2025-12-04T09:39:33.9417893Z   update-environment: true
2025-12-04T09:39:33.9418178Z   allow-prereleases: false
2025-12-04T09:39:33.9418456Z   freethreaded: false
2025-12-04T09:39:33.9418681Z env:
2025-12-04T09:39:33.9418895Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:33.9419167Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:33.9419706Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:33.9420191Z   DEVICE_NAME: 
2025-12-04T09:39:33.9420422Z   DEVICE_TYPE: 
2025-12-04T09:39:33.9420650Z ##[endgroup]
2025-12-04T09:39:34.4081736Z ##[group]Installed versions
2025-12-04T09:39:34.4091019Z Version 3.10 was not found in the local cache
2025-12-04T09:39:34.4372943Z (node:57752) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
2025-12-04T09:39:34.4373737Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-12-04T09:39:34.8182293Z ##[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
2025-12-04T09:39:34.8371280Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-12-04T09:39:34.8371724Z with:
2025-12-04T09:39:34.8371929Z env:
2025-12-04T09:39:34.8372128Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:34.8372406Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:34.8372853Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:34.8373336Z   DEVICE_NAME: 
2025-12-04T09:39:34.8373568Z   DEVICE_TYPE: 
2025-12-04T09:39:34.8373799Z ##[endgroup]
2025-12-04T09:39:34.8390095Z ##[group]Run set -eou pipefail
2025-12-04T09:39:34.8390411Z set -eou pipefail
2025-12-04T09:39:34.8390680Z 
2025-12-04T09:39:34.8391058Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-12-04T09:39:34.8391535Z for _ in $(seq 1440); do
2025-12-04T09:39:34.8391860Z     # Break if no ssh session exists anymore
2025-12-04T09:39:34.8392215Z     if [ "$(who)" = "" ]; then
2025-12-04T09:39:34.8392553Z       break
2025-12-04T09:39:34.8392790Z     fi
2025-12-04T09:39:34.8393019Z     echo "."
2025-12-04T09:39:34.8393264Z     sleep 5
2025-12-04T09:39:34.8393489Z done
2025-12-04T09:39:34.8399749Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:39:34.8400138Z env:
2025-12-04T09:39:34.8400348Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:34.8400619Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:34.8401075Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:34.8401660Z   DEVICE_NAME: 
2025-12-04T09:39:34.8401890Z   DEVICE_TYPE: 
2025-12-04T09:39:34.8402119Z ##[endgroup]
2025-12-04T09:39:34.8427338Z Holding runner for 2 hours until all ssh sessions have logged out
2025-12-04T09:39:34.8502907Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T09:39:34.8503461Z # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T09:39:34.8503909Z # shellcheck disable=SC2046
2025-12-04T09:39:34.8504244Z docker stop $(docker ps -q) || true
2025-12-04T09:39:34.8504592Z # Prune all of the docker images
2025-12-04T09:39:34.8504909Z docker system prune -af
2025-12-04T09:39:34.8510426Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:39:34.8510811Z env:
2025-12-04T09:39:34.8511020Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:39:34.8511294Z   HAS_NVIDIA_GPU: false
2025-12-04T09:39:34.8511842Z   DOCKER_CONTAINER_ID: 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:34.8512334Z   DEVICE_NAME: 
2025-12-04T09:39:34.8512566Z   DEVICE_TYPE: 
2025-12-04T09:39:34.8512793Z ##[endgroup]
2025-12-04T09:39:45.5360243Z 7e2c8223d631
2025-12-04T09:39:45.9613239Z Deleted Containers:
2025-12-04T09:39:45.9613717Z 7e2c8223d631a7bba6da21ae4e86747a002a95008b530405e7320068b88ccf8f
2025-12-04T09:39:45.9614060Z 
2025-12-04T09:39:54.3194140Z Deleted Images:
2025-12-04T09:39:54.3194981Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:39:54.3196794Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:daf8295b144729db421f110762706d7eed0643b6b9748bedf2e37a2fcdfc4b9c
2025-12-04T09:39:54.3197810Z deleted: sha256:9230348e0d090da287e002774e5f183831a6591efe46e7a2cd9b593182913ca0
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2025-12-04T09:39:54.3370913Z Post job cleanup.
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2025-12-04T09:39:54.4725558Z (node:57914) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
2025-12-04T09:39:54.4726364Z (Use `node --trace-deprecation ...` to show where the warning was created)
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2025-12-04T09:39:54.5985506Z [command]/usr/bin/git version
2025-12-04T09:39:54.6021535Z git version 2.50.1
2025-12-04T09:39:54.6056271Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/0901108b-01f6-4d15-94d0-1b40eae395e8/.gitconfig'
2025-12-04T09:39:54.6066157Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/0901108b-01f6-4d15-94d0-1b40eae395e8' before making global git config changes
2025-12-04T09:39:54.6067531Z Adding repository directory to the temporary git global config as a safe directory
2025-12-04T09:39:54.6071552Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:39:54.6116391Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
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2025-12-04T09:39:55.1210677Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
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2025-12-04T09:39:56.2540409Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T09:39:56.2700381Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T09:39:56.2797472Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T09:39:56.2892767Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T09:39:56.2937701Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:39:56.2959954Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:39:56.2984328Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:39:56.3007580Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T09:39:56.3082423Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:39:56.3107225Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:39:56.3130774Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:39:56.3227881Z A job completed hook has been configured by the self-hosted runner administrator
2025-12-04T09:39:56.3244604Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-12-04T09:39:56.3249972Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:39:56.3250465Z ##[endgroup]
2025-12-04T09:40:05.6608441Z Cleaning up orphan processes