2025-11-03T17:04:39.2642440Z Current runner version: '2.329.0'
2025-11-03T17:04:39.2648665Z Runner name: 'i-0c691f31c933d48d6'
2025-11-03T17:04:39.2649450Z Runner group name: 'default'
2025-11-03T17:04:39.2650320Z Machine name: 'ip-10-0-74-174'
2025-11-03T17:04:39.2653208Z ##[group]GITHUB_TOKEN Permissions
2025-11-03T17:04:39.2655611Z Contents: read
2025-11-03T17:04:39.2656156Z Metadata: read
2025-11-03T17:04:39.2656676Z ##[endgroup]
2025-11-03T17:04:39.2659381Z Secret source: Actions
2025-11-03T17:04:39.2660064Z Prepare workflow directory
2025-11-03T17:04:39.3160335Z Prepare all required actions
2025-11-03T17:04:39.3198502Z Getting action download info
2025-11-03T17:04:39.6328385Z Download action repository 'pytorch/test-infra@main' (SHA:62d0084d5e2a6926f8884d6714e7fe289eb96af5)
2025-11-03T17:04:42.0463817Z Download action repository 'pytorch/pytorch@main' (SHA:104b86861862ccc47f6df6528347a017bef813ad)
2025-11-03T17:04:57.8415257Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-11-03T17:04:58.1713804Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-11-03T17:04:58.4411243Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-11-03T17:04:58.6199998Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-11-03T17:04:58.8622665Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-11-03T17:04:59.1362228Z Getting action download info
2025-11-03T17:04:59.3256551Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-11-03T17:04:59.6116158Z Getting action download info
2025-11-03T17:04:59.7308852Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-11-03T17:04:59.9290095Z Getting action download info
2025-11-03T17:05:00.0483052Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-11-03T17:05:00.3467664Z Getting action download info
2025-11-03T17:05:00.5080176Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (3f6538febd727b782e6e13cfd026a309fb14351d)
2025-11-03T17:05:00.5083852Z ##[group] Inputs
2025-11-03T17:05:00.5084209Z   build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-11-03T17:05:00.5086113Z   test-matrix: {"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}
2025-11-03T17:05:00.5088590Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:05:00.5089549Z   sync-tag: 
2025-11-03T17:05:00.5090234Z   timeout-minutes: 240
2025-11-03T17:05:00.5090473Z   use-gha: 
2025-11-03T17:05:00.5090677Z   dashboard-tag: 
2025-11-03T17:05:00.5090906Z   s3-bucket: gha-artifacts
2025-11-03T17:05:00.5091159Z   aws-role-to-assume: 
2025-11-03T17:05:00.5091655Z   disable-monitor: false
2025-11-03T17:05:00.5091994Z   monitor-log-interval: 5
2025-11-03T17:05:00.5092286Z   monitor-data-collect-interval: 1
2025-11-03T17:05:00.5092654Z ##[endgroup]
2025-11-03T17:05:00.5093398Z Complete job name: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-11-03T17:05:00.5773809Z A job started hook has been configured by the self-hosted runner administrator
2025-11-03T17:05:00.5872792Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-11-03T17:05:00.5884200Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:05:00.5884813Z ##[endgroup]
2025-11-03T17:05:02.2637108Z Runner Type: linux.g5.4xlarge.nvidia.gpu
2025-11-03T17:05:02.2637725Z Instance Type: g5.4xlarge
2025-11-03T17:05:02.2638077Z AMI Name: unknown
2025-11-03T17:05:02.2677978Z AMI ID: ami-08982f1c5bf93d976
2025-11-03T17:05:07.7910236Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-11-03T17:05:07.7910639Z with:
2025-11-03T17:05:07.7911148Z   github-secret: ***
2025-11-03T17:05:07.7911828Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-11-03T17:05:07.7912565Z   activate-with-label: false
2025-11-03T17:05:07.7912844Z   label: with-ssh
2025-11-03T17:05:07.7913073Z   remove-existing-keys: true
2025-11-03T17:05:07.7913344Z   fail-silently: true
2025-11-03T17:05:07.7913574Z env:
2025-11-03T17:05:07.7913780Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:05:07.7914025Z ##[endgroup]
2025-11-03T17:05:07.9321210Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-11-03T17:05:07.9322878Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-11-03T17:05:07.9509526Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-11-03T17:05:07.9509939Z with:
2025-11-03T17:05:07.9510147Z   no-sudo: true
2025-11-03T17:05:07.9510375Z   submodules: recursive
2025-11-03T17:05:07.9510633Z   fetch-depth: 0
2025-11-03T17:05:07.9510843Z env:
2025-11-03T17:05:07.9511061Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:05:07.9511310Z ##[endgroup]
2025-11-03T17:05:07.9591618Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T17:05:07.9592578Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T17:05:07.9606211Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:05:07.9606581Z env:
2025-11-03T17:05:07.9606816Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:05:07.9607101Z ##[endgroup]
2025-11-03T17:05:07.9707618Z ##[group]Run # Use all available CPUs for fetching
2025-11-03T17:05:07.9708042Z # Use all available CPUs for fetching
2025-11-03T17:05:07.9708378Z cd "${GITHUB_WORKSPACE}"
2025-11-03T17:05:07.9708705Z git config --global fetch.parallel 0
2025-11-03T17:05:07.9709081Z git config --global submodule.fetchJobs 0
2025-11-03T17:05:07.9709407Z 
2025-11-03T17:05:07.9709747Z # Clean workspace. The default checkout action should also do this, but
2025-11-03T17:05:07.9710214Z # do it here as well just in case
2025-11-03T17:05:07.9710528Z if [[ -d .git ]]; then
2025-11-03T17:05:07.9710807Z   if [ -z "${NO_SUDO}" ]; then
2025-11-03T17:05:07.9711106Z     sudo git clean -ffdx
2025-11-03T17:05:07.9711364Z   else
2025-11-03T17:05:07.9711589Z     git clean -ffdx
2025-11-03T17:05:07.9711840Z   fi
2025-11-03T17:05:07.9712044Z fi
2025-11-03T17:05:07.9721008Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:05:07.9721401Z env:
2025-11-03T17:05:07.9721690Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:05:07.9721958Z   NO_SUDO: true
2025-11-03T17:05:07.9722159Z ##[endgroup]
2025-11-03T17:05:07.9891047Z ##[group]Run actions/checkout@v4
2025-11-03T17:05:07.9891334Z with:
2025-11-03T17:05:07.9891577Z   ref: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T17:05:07.9891899Z   fetch-depth: 0
2025-11-03T17:05:07.9892122Z   submodules: recursive
2025-11-03T17:05:07.9892458Z   show-progress: false
2025-11-03T17:05:07.9892931Z   repository: pytorch/pytorch
2025-11-03T17:05:07.9893305Z   token: ***
2025-11-03T17:05:07.9893535Z   ssh-strict: true
2025-11-03T17:05:07.9893784Z   ssh-user: git
2025-11-03T17:05:07.9894008Z   persist-credentials: true
2025-11-03T17:05:07.9894259Z   clean: true
2025-11-03T17:05:07.9894507Z   sparse-checkout-cone-mode: true
2025-11-03T17:05:07.9894798Z   fetch-tags: false
2025-11-03T17:05:07.9895019Z   lfs: false
2025-11-03T17:05:07.9895242Z   set-safe-directory: true
2025-11-03T17:05:07.9895493Z env:
2025-11-03T17:05:07.9895701Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:05:07.9895946Z ##[endgroup]
2025-11-03T17:05:08.0997650Z Syncing repository: pytorch/pytorch
2025-11-03T17:05:08.0998887Z ##[group]Getting Git version info
2025-11-03T17:05:08.0999337Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-11-03T17:05:08.0999973Z [command]/usr/bin/git version
2025-11-03T17:05:08.1200836Z git version 2.50.1
2025-11-03T17:05:08.1245971Z ##[endgroup]
2025-11-03T17:05:08.1257109Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/a8b4acd9-06dd-43da-929d-373aa778b181/.gitconfig'
2025-11-03T17:05:08.1279215Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/a8b4acd9-06dd-43da-929d-373aa778b181' before making global git config changes
2025-11-03T17:05:08.1280184Z Adding repository directory to the temporary git global config as a safe directory
2025-11-03T17:05:08.1293181Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T17:05:08.1348431Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-11-03T17:05:08.1351928Z ##[group]Initializing the repository
2025-11-03T17:05:08.1356340Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T17:05:08.1434650Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-11-03T17:05:08.1435249Z hint: is subject to change. To configure the initial branch name to use in all
2025-11-03T17:05:08.1435816Z hint: of your new repositories, which will suppress this warning, call:
2025-11-03T17:05:08.1436219Z hint:
2025-11-03T17:05:08.1436501Z hint: 	git config --global init.defaultBranch <name>
2025-11-03T17:05:08.1436838Z hint:
2025-11-03T17:05:08.1437160Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-11-03T17:05:08.1437728Z hint: 'development'. The just-created branch can be renamed via this command:
2025-11-03T17:05:08.1438157Z hint:
2025-11-03T17:05:08.1438374Z hint: 	git branch -m <name>
2025-11-03T17:05:08.1438619Z hint:
2025-11-03T17:05:08.1438972Z hint: Disable this message with "git config set advice.defaultBranchName false"
2025-11-03T17:05:08.1443982Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-11-03T17:05:08.1456236Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-11-03T17:05:08.1504792Z ##[endgroup]
2025-11-03T17:05:08.1505229Z ##[group]Disabling automatic garbage collection
2025-11-03T17:05:08.1509016Z [command]/usr/bin/git config --local gc.auto 0
2025-11-03T17:05:08.1544261Z ##[endgroup]
2025-11-03T17:05:08.1544879Z ##[group]Setting up auth
2025-11-03T17:05:08.1551636Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-11-03T17:05:08.1588939Z [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' || :"
2025-11-03T17:05:08.2014248Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-11-03T17:05:08.2050274Z [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' || :"
2025-11-03T17:05:08.2463232Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-11-03T17:05:08.2516308Z ##[endgroup]
2025-11-03T17:05:08.2516717Z ##[group]Fetching the repository
2025-11-03T17:05:08.2524222Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-11-03T17:05:58.2268561Z From https://github.com/pytorch/pytorch
2025-11-03T17:05:58.2269186Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-11-03T17:05:58.2269817Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-11-03T17:05:58.2270453Z  * [new branch]              DyVariaSourceRepr           -> origin/DyVariaSourceRepr
2025-11-03T17:05:58.2270980Z  * [new branch]              DynamoFixGit                -> origin/DynamoFixGit
2025-11-03T17:05:58.2272314Z  * [new branch]              DynamoVariaT                -> origin/DynamoVariaT
2025-11-03T17:05:58.2275379Z  * [new branch]              Flamefire-misplaced-TestFailure -> origin/Flamefire-misplaced-TestFailure
2025-11-03T17:05:58.2277517Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-11-03T17:05:58.2280782Z  * [new branch]              IvanKobzarev/stack/1        -> origin/IvanKobzarev/stack/1
2025-11-03T17:05:58.2282662Z  * [new branch]              IvanKobzarev/stack/2        -> origin/IvanKobzarev/stack/2
2025-11-03T17:05:58.2285117Z  * [new branch]              NicoshevSVE128              -> origin/NicoshevSVE128
2025-11-03T17:05:58.2286309Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-11-03T17:05:58.2288572Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-11-03T17:05:58.2290476Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-11-03T17:05:58.2292207Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-11-03T17:05:58.2294220Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-11-03T17:05:58.2296685Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-11-03T17:05:58.2298403Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-11-03T17:05:58.2300308Z  * [new branch]              VariaT                      -> origin/VariaT
2025-11-03T17:05:58.2302476Z  * [new branch]              add-pyrefly-to-lintrunner   -> origin/add-pyrefly-to-lintrunner
2025-11-03T17:05:58.2304150Z  * [new branch]              add_conv3d_ops              -> origin/add_conv3d_ops
2025-11-03T17:05:58.2306124Z  * [new branch]              add_op_to_dashboard         -> origin/add_op_to_dashboard
2025-11-03T17:05:58.2308040Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-11-03T17:05:58.2310006Z  * [new branch]              addmm10000rtx               -> origin/addmm10000rtx
2025-11-03T17:05:58.2312539Z  * [new branch]              adi/onednn_aarch64          -> origin/adi/onednn_aarch64
2025-11-03T17:05:58.2314414Z  * [new branch]              adi/test                    -> origin/adi/test
2025-11-03T17:05:58.2316193Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-11-03T17:05:58.2318036Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-11-03T17:05:58.2319810Z  * [new branch]              adi/test_onednn             -> origin/adi/test_onednn
2025-11-03T17:05:58.2321806Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-11-03T17:05:58.2323475Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-11-03T17:05:58.2325730Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-11-03T17:05:58.2327360Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-11-03T17:05:58.2330686Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-11-03T17:05:58.2333154Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-11-03T17:05:58.2335062Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-11-03T17:05:58.2337724Z  * [new branch]              angelayi/allow_fake         -> origin/angelayi/allow_fake
2025-11-03T17:05:58.2339649Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-11-03T17:05:58.2341483Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-11-03T17:05:58.2343379Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-11-03T17:05:58.2345143Z  * [new branch]              angelayi/const_folder       -> origin/angelayi/const_folder
2025-11-03T17:05:58.2346935Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-11-03T17:05:58.2348773Z  * [new branch]              angelayi/joint_kwargs       -> origin/angelayi/joint_kwargs
2025-11-03T17:05:58.2351034Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-11-03T17:05:58.2353323Z  * [new branch]              angelayi/opaque_obj_v2      -> origin/angelayi/opaque_obj_v2
2025-11-03T17:05:58.2355414Z  * [new branch]              angelayi/post_grad          -> origin/angelayi/post_grad
2025-11-03T17:05:58.2357276Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
2025-11-03T17:05:58.2359043Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-11-03T17:05:58.2360964Z  * [new branch]              angelayi/state_dict         -> origin/angelayi/state_dict
2025-11-03T17:05:58.2363024Z  * [new branch]              angelayi/static_input_indices -> origin/angelayi/static_input_indices
2025-11-03T17:05:58.2364876Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
2025-11-03T17:05:58.2366611Z  * [new branch]              angelayi/symm_mem           -> origin/angelayi/symm_mem
2025-11-03T17:05:58.2368622Z  * [new branch]              angelayi/test_cpp           -> origin/angelayi/test_cpp
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2025-11-03T17:05:59.2195694Z  * [new branch]              pianpwk-patch-1             -> origin/pianpwk-patch-1
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2025-11-03T17:05:59.2199736Z  * [new branch]              pianpwk-patch-3             -> origin/pianpwk-patch-3
2025-11-03T17:05:59.2202275Z  * [new branch]              pianpwk/__draft_debug_mode  -> origin/pianpwk/__draft_debug_mode
2025-11-03T17:05:59.2204085Z  * [new branch]              pianpwk/_debug_mode_for_triton_draft -> origin/pianpwk/_debug_mode_for_triton_draft
2025-11-03T17:05:59.2205783Z  * [new branch]              pianpwk/_profile_w_dispatch_keys -> origin/pianpwk/_profile_w_dispatch_keys
2025-11-03T17:05:59.2207449Z  * [new branch]              pianpwk/_super_draft_debug_mode -> origin/pianpwk/_super_draft_debug_mode
2025-11-03T17:05:59.2209073Z  * [new branch]              pianpwk/anomaly_tb          -> origin/pianpwk/anomaly_tb
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2025-11-03T17:05:59.2213857Z  * [new branch]              pianpwk/backed_size_oblivious_export -> origin/pianpwk/backed_size_oblivious_export
2025-11-03T17:05:59.2215612Z  * [new branch]              pianpwk/base_view_shape_key -> origin/pianpwk/base_view_shape_key
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2025-11-03T17:05:59.2326845Z  * [new branch]              qchip/export-D54134695      -> origin/qchip/export-D54134695
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2025-11-03T17:05:59.2709924Z  * [new branch]              yiming/bootcamp             -> origin/yiming/bootcamp
2025-11-03T17:05:59.2711817Z  * [new branch]              yiming/fix_aot_joint_graph_capture_test -> origin/yiming/fix_aot_joint_graph_capture_test
2025-11-03T17:05:59.2713735Z  * [new branch]              yiming/flex_attention_export_with_kwargs -> origin/yiming/flex_attention_export_with_kwargs
2025-11-03T17:05:59.2715735Z  * [new branch]              yiming/improve_custom_op_stack_trace -> origin/yiming/improve_custom_op_stack_trace
2025-11-03T17:05:59.2718261Z  * [new branch]              yiming/improve_sharding_error_msg -> origin/yiming/improve_sharding_error_msg
2025-11-03T17:05:59.2720166Z  * [new branch]              yiming/moe_dtensor_region_annotation -> origin/yiming/moe_dtensor_region_annotation
2025-11-03T17:05:59.2722061Z  * [new branch]              yiming/precompile_benchmark -> origin/yiming/precompile_benchmark
2025-11-03T17:05:59.2724058Z  * [new branch]              yiming/remove_blockmask_pytree_global_registration -> origin/yiming/remove_blockmask_pytree_global_registration
2025-11-03T17:05:59.2726257Z  * [new branch]              yolo-llama3                 -> origin/yolo-llama3
2025-11-03T17:05:59.2728856Z  * [new branch]              yuxin/fix-save-memleak      -> origin/yuxin/fix-save-memleak
2025-11-03T17:05:59.2731649Z  * [new branch]              zainr/canary-test           -> origin/zainr/canary-test
2025-11-03T17:05:59.2733787Z  * [new branch]              zainr/cleanup-gh-runners    -> origin/zainr/cleanup-gh-runners
2025-11-03T17:05:59.2735487Z  * [new branch]              zainr/pull-migration-c      -> origin/zainr/pull-migration-c
2025-11-03T17:05:59.2736986Z  * [new branch]              zainr/test2                 -> origin/zainr/test2
2025-11-03T17:05:59.2738890Z  * [new branch]              zainr/unstable              -> origin/zainr/unstable
2025-11-03T17:05:59.2740827Z  * [new branch]              zasdfgbnm-patch-3           -> origin/zasdfgbnm-patch-3
2025-11-03T17:05:59.2742718Z  * [new branch]              zb2p                        -> origin/zb2p
2025-11-03T17:05:59.2744546Z  * [new branch]              zeros-and-scatter-part2     -> origin/zeros-and-scatter-part2
2025-11-03T17:05:59.2747253Z  * [new branch]              zhxchen17/aot_compile_fix_load_guard_manager -> origin/zhxchen17/aot_compile_fix_load_guard_manager
2025-11-03T17:05:59.2749595Z  * [new branch]              zhxchen17/ci/vllm_pin       -> origin/zhxchen17/ci/vllm_pin
2025-11-03T17:05:59.2752094Z  * [new branch]              zhxchen17/precompile/closure_serde -> origin/zhxchen17/precompile/closure_serde
2025-11-03T17:05:59.2754034Z  * [new branch]              zhxchen17/precompile/default_args -> origin/zhxchen17/precompile/default_args
2025-11-03T17:05:59.2755929Z  * [new branch]              zhxchen17/precompile/export -> origin/zhxchen17/precompile/export
2025-11-03T17:05:59.2757737Z  * [new branch]              zhxchen17/precompile/export_gm -> origin/zhxchen17/precompile/export_gm
2025-11-03T17:05:59.2759447Z  * [new branch]              zhxchen17/precompile_vllm_fix_0 -> origin/zhxchen17/precompile_vllm_fix_0
2025-11-03T17:05:59.2761778Z  * [new branch]              zhxchen17/scratch/0         -> origin/zhxchen17/scratch/0
2025-11-03T17:05:59.2764382Z  * [new branch]              zhxhcen17/moodycamel        -> origin/zhxhcen17/moodycamel
2025-11-03T17:05:59.2766942Z  * [new branch]              zxiiro/build-times          -> origin/zxiiro/build-times
2025-11-03T17:05:59.2768625Z  * [new branch]              zxiiro/c7i-docs-build       -> origin/zxiiro/c7i-docs-build
2025-11-03T17:05:59.2770449Z  * [new branch]              zxiiro/c7i-linux-4xlarge    -> origin/zxiiro/c7i-linux-4xlarge
2025-11-03T17:05:59.2772387Z  * [new branch]              zxiiro/c7i-linux-build-yaml -> origin/zxiiro/c7i-linux-build-yaml
2025-11-03T17:05:59.2774278Z  * [new branch]              zxiiro/c7i-pull             -> origin/zxiiro/c7i-pull
2025-11-03T17:05:59.2776080Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-11-03T17:05:59.2777987Z  * [new branch]              zxiiro/test-multicloud-arc  -> origin/zxiiro/test-multicloud-arc
2025-11-03T17:05:59.2779629Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-11-03T17:05:59.2781201Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-11-03T17:05:59.2782903Z  * [new tag]                 ciflow/b200/115316          -> ciflow/b200/115316
2025-11-03T17:05:59.2784179Z  * [new tag]                 ciflow/b200/157553          -> ciflow/b200/157553
2025-11-03T17:05:59.2785261Z  * [new tag]                 ciflow/b200/157635          -> ciflow/b200/157635
2025-11-03T17:05:59.2786642Z  * [new tag]                 ciflow/b200/160685          -> ciflow/b200/160685
2025-11-03T17:05:59.2787953Z  * [new tag]                 ciflow/b200/161404          -> ciflow/b200/161404
2025-11-03T17:05:59.2789227Z  * [new tag]                 ciflow/b200/163369          -> ciflow/b200/163369
2025-11-03T17:05:59.2790645Z  * [new tag]                 ciflow/b200/164657          -> ciflow/b200/164657
2025-11-03T17:05:59.2791976Z  * [new tag]                 ciflow/b200/164938          -> ciflow/b200/164938
2025-11-03T17:05:59.2793234Z  * [new tag]                 ciflow/b200/165132          -> ciflow/b200/165132
2025-11-03T17:05:59.2794672Z  * [new tag]                 ciflow/b200/165541          -> ciflow/b200/165541
2025-11-03T17:05:59.2795765Z  * [new tag]                 ciflow/b200/165548          -> ciflow/b200/165548
2025-11-03T17:05:59.2797507Z  * [new tag]                 ciflow/b200/165952          -> ciflow/b200/165952
2025-11-03T17:05:59.2799190Z  * [new tag]                 ciflow/b200/166250          -> ciflow/b200/166250
2025-11-03T17:05:59.2800795Z  * [new tag]                 ciflow/b200/166526          -> ciflow/b200/166526
2025-11-03T17:05:59.2802358Z  * [new tag]                 ciflow/b200/166744          -> ciflow/b200/166744
2025-11-03T17:05:59.2803716Z  * [new tag]                 ciflow/b200/166752          -> ciflow/b200/166752
2025-11-03T17:05:59.2805148Z  * [new tag]                 ciflow/b200/166834          -> ciflow/b200/166834
2025-11-03T17:05:59.2806713Z  * [new tag]                 ciflow/binaries/157432      -> ciflow/binaries/157432
2025-11-03T17:05:59.2808050Z  * [new tag]                 ciflow/binaries/158104      -> ciflow/binaries/158104
2025-11-03T17:05:59.2809488Z  * [new tag]                 ciflow/binaries/165922      -> ciflow/binaries/165922
2025-11-03T17:05:59.2810770Z  * [new tag]                 ciflow/binaries/166044      -> ciflow/binaries/166044
2025-11-03T17:05:59.2812139Z  * [new tag]                 ciflow/binaries/166621      -> ciflow/binaries/166621
2025-11-03T17:05:59.2813467Z  * [new tag]                 ciflow/binaries/166687      -> ciflow/binaries/166687
2025-11-03T17:05:59.2814716Z  * [new tag]                 ciflow/binaries/166764      -> ciflow/binaries/166764
2025-11-03T17:05:59.2816303Z  * [new tag]                 ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432
2025-11-03T17:05:59.2817968Z  * [new tag]                 ciflow/binaries_wheel/155731 -> ciflow/binaries_wheel/155731
2025-11-03T17:05:59.2819111Z  * [new tag]                 ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432
2025-11-03T17:05:59.2820654Z  * [new tag]                 ciflow/binaries_wheel/166380 -> ciflow/binaries_wheel/166380
2025-11-03T17:05:59.2821538Z  * [new tag]                 ciflow/binaries_wheel/166407 -> ciflow/binaries_wheel/166407
2025-11-03T17:05:59.2823114Z  * [new tag]                 ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829
2025-11-03T17:05:59.2824641Z  * [new tag]                 ciflow/h100-distributed/166367 -> ciflow/h100-distributed/166367
2025-11-03T17:05:59.2826212Z  * [new tag]                 ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845
2025-11-03T17:05:59.2827351Z  * [new tag]                 ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635
2025-11-03T17:05:59.2828666Z  * [new tag]                 ciflow/h100-symm-mem/163814 -> ciflow/h100-symm-mem/163814
2025-11-03T17:05:59.2829781Z  * [new tag]                 ciflow/h100-symm-mem/163815 -> ciflow/h100-symm-mem/163815
2025-11-03T17:05:59.2831112Z  * [new tag]                 ciflow/h100-symm-mem/165548 -> ciflow/h100-symm-mem/165548
2025-11-03T17:05:59.2832520Z  * [new tag]                 ciflow/h100-symm-mem/166772 -> ciflow/h100-symm-mem/166772
2025-11-03T17:05:59.2833776Z  * [new tag]                 ciflow/h100-symm-mem/166773 -> ciflow/h100-symm-mem/166773
2025-11-03T17:05:59.2835022Z  * [new tag]                 ciflow/h100-symm-mem/166774 -> ciflow/h100-symm-mem/166774
2025-11-03T17:05:59.2836469Z  * [new tag]                 ciflow/h100/115316          -> ciflow/h100/115316
2025-11-03T17:05:59.2837678Z  * [new tag]                 ciflow/h100/157553          -> ciflow/h100/157553
2025-11-03T17:05:59.2838894Z  * [new tag]                 ciflow/h100/157635          -> ciflow/h100/157635
2025-11-03T17:05:59.2840110Z  * [new tag]                 ciflow/h100/160685          -> ciflow/h100/160685
2025-11-03T17:05:59.2841351Z  * [new tag]                 ciflow/h100/161404          -> ciflow/h100/161404
2025-11-03T17:05:59.2842570Z  * [new tag]                 ciflow/h100/163369          -> ciflow/h100/163369
2025-11-03T17:05:59.2843913Z  * [new tag]                 ciflow/h100/164657          -> ciflow/h100/164657
2025-11-03T17:05:59.2845200Z  * [new tag]                 ciflow/h100/165029          -> ciflow/h100/165029
2025-11-03T17:05:59.2846417Z  * [new tag]                 ciflow/h100/165132          -> ciflow/h100/165132
2025-11-03T17:05:59.2847633Z  * [new tag]                 ciflow/h100/165541          -> ciflow/h100/165541
2025-11-03T17:05:59.2848862Z  * [new tag]                 ciflow/h100/165548          -> ciflow/h100/165548
2025-11-03T17:05:59.2850456Z  * [new tag]                 ciflow/h100/165952          -> ciflow/h100/165952
2025-11-03T17:05:59.2852046Z  * [new tag]                 ciflow/h100/166250          -> ciflow/h100/166250
2025-11-03T17:05:59.2854163Z  * [new tag]                 ciflow/h100/166515          -> ciflow/h100/166515
2025-11-03T17:05:59.2855546Z  * [new tag]                 ciflow/h100/166526          -> ciflow/h100/166526
2025-11-03T17:05:59.2856861Z  * [new tag]                 ciflow/h100/166744          -> ciflow/h100/166744
2025-11-03T17:05:59.2858143Z  * [new tag]                 ciflow/h100/166752          -> ciflow/h100/166752
2025-11-03T17:05:59.2859444Z  * [new tag]                 ciflow/h100/166834          -> ciflow/h100/166834
2025-11-03T17:05:59.2861165Z  * [new tag]                 ciflow/inductor-perf-compare/165029 -> ciflow/inductor-perf-compare/165029
2025-11-03T17:05:59.2863416Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/162053 -> ciflow/inductor-perf-test-nightly-rocm-mi300/162053
2025-11-03T17:05:59.2864906Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/162954 -> ciflow/inductor-perf-test-nightly-x86-zen/162954
2025-11-03T17:05:59.2865951Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/164126 -> ciflow/inductor-perf-test-nightly-x86-zen/164126
2025-11-03T17:05:59.2867770Z  * [new tag]                 ciflow/inductor-perf-test-nightly/162053 -> ciflow/inductor-perf-test-nightly/162053
2025-11-03T17:05:59.2868697Z  * [new tag]                 ciflow/inductor-perf-test-nightly/165029 -> ciflow/inductor-perf-test-nightly/165029
2025-11-03T17:05:59.2870364Z  * [new tag]                 ciflow/inductor-periodic/165029 -> ciflow/inductor-periodic/165029
2025-11-03T17:05:59.2871937Z  * [new tag]                 ciflow/inductor-periodic/166743 -> ciflow/inductor-periodic/166743
2025-11-03T17:05:59.2873572Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-11-03T17:05:59.2874230Z  * [new tag]                 ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053
2025-11-03T17:05:59.2875691Z  * [new tag]                 ciflow/inductor-rocm/166515 -> ciflow/inductor-rocm/166515
2025-11-03T17:05:59.2876934Z  * [new tag]                 ciflow/inductor-rocm/166743 -> ciflow/inductor-rocm/166743
2025-11-03T17:05:59.2878345Z  * [new tag]                 ciflow/inductor-rocm/166870 -> ciflow/inductor-rocm/166870
2025-11-03T17:05:59.2879976Z  * [new tag]                 ciflow/inductor/137400      -> ciflow/inductor/137400
2025-11-03T17:05:59.2881084Z  * [new tag]                 ciflow/inductor/148180      -> ciflow/inductor/148180
2025-11-03T17:05:59.2882606Z  * [new tag]                 ciflow/inductor/148294      -> ciflow/inductor/148294
2025-11-03T17:05:59.2883845Z  * [new tag]                 ciflow/inductor/148328      -> ciflow/inductor/148328
2025-11-03T17:05:59.2885085Z  * [new tag]                 ciflow/inductor/148484      -> ciflow/inductor/148484
2025-11-03T17:05:59.2886211Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-11-03T17:05:59.2887578Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-11-03T17:05:59.2888679Z  * [new tag]                 ciflow/inductor/152624      -> ciflow/inductor/152624
2025-11-03T17:05:59.2890057Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-11-03T17:05:59.2891165Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-11-03T17:05:59.2892583Z  * [new tag]                 ciflow/inductor/159523      -> ciflow/inductor/159523
2025-11-03T17:05:59.2894211Z  * [new tag]                 ciflow/inductor/160174      -> ciflow/inductor/160174
2025-11-03T17:05:59.2895828Z  * [new tag]                 ciflow/inductor/160685      -> ciflow/inductor/160685
2025-11-03T17:05:59.2897326Z  * [new tag]                 ciflow/inductor/160686      -> ciflow/inductor/160686
2025-11-03T17:05:59.2899166Z  * [new tag]                 ciflow/inductor/160687      -> ciflow/inductor/160687
2025-11-03T17:05:59.2900498Z  * [new tag]                 ciflow/inductor/160688      -> ciflow/inductor/160688
2025-11-03T17:05:59.2901825Z  * [new tag]                 ciflow/inductor/160706      -> ciflow/inductor/160706
2025-11-03T17:05:59.2903156Z  * [new tag]                 ciflow/inductor/160729      -> ciflow/inductor/160729
2025-11-03T17:05:59.2904444Z  * [new tag]                 ciflow/inductor/161093      -> ciflow/inductor/161093
2025-11-03T17:05:59.2905914Z  * [new tag]                 ciflow/inductor/161158      -> ciflow/inductor/161158
2025-11-03T17:05:59.2907367Z  * [new tag]                 ciflow/inductor/161246      -> ciflow/inductor/161246
2025-11-03T17:05:59.2908684Z  * [new tag]                 ciflow/inductor/161404      -> ciflow/inductor/161404
2025-11-03T17:05:59.2910017Z  * [new tag]                 ciflow/inductor/161495      -> ciflow/inductor/161495
2025-11-03T17:05:59.2911338Z  * [new tag]                 ciflow/inductor/161512      -> ciflow/inductor/161512
2025-11-03T17:05:59.2912679Z  * [new tag]                 ciflow/inductor/161938      -> ciflow/inductor/161938
2025-11-03T17:05:59.2914023Z  * [new tag]                 ciflow/inductor/161939      -> ciflow/inductor/161939
2025-11-03T17:05:59.2915317Z  * [new tag]                 ciflow/inductor/161940      -> ciflow/inductor/161940
2025-11-03T17:05:59.2916739Z  * [new tag]                 ciflow/inductor/162053      -> ciflow/inductor/162053
2025-11-03T17:05:59.2917878Z  * [new tag]                 ciflow/inductor/162469      -> ciflow/inductor/162469
2025-11-03T17:05:59.2919276Z  * [new tag]                 ciflow/inductor/162709      -> ciflow/inductor/162709
2025-11-03T17:05:59.2920621Z  * [new tag]                 ciflow/inductor/162795      -> ciflow/inductor/162795
2025-11-03T17:05:59.2921894Z  * [new tag]                 ciflow/inductor/162954      -> ciflow/inductor/162954
2025-11-03T17:05:59.2923450Z  * [new tag]                 ciflow/inductor/163249      -> ciflow/inductor/163249
2025-11-03T17:05:59.2924805Z  * [new tag]                 ciflow/inductor/163335      -> ciflow/inductor/163335
2025-11-03T17:05:59.2926137Z  * [new tag]                 ciflow/inductor/163369      -> ciflow/inductor/163369
2025-11-03T17:05:59.2927456Z  * [new tag]                 ciflow/inductor/163490      -> ciflow/inductor/163490
2025-11-03T17:05:59.2928758Z  * [new tag]                 ciflow/inductor/163503      -> ciflow/inductor/163503
2025-11-03T17:05:59.2930074Z  * [new tag]                 ciflow/inductor/163714      -> ciflow/inductor/163714
2025-11-03T17:05:59.2931651Z  * [new tag]                 ciflow/inductor/163936      -> ciflow/inductor/163936
2025-11-03T17:05:59.2933422Z  * [new tag]                 ciflow/inductor/164202      -> ciflow/inductor/164202
2025-11-03T17:05:59.2934773Z  * [new tag]                 ciflow/inductor/164384      -> ciflow/inductor/164384
2025-11-03T17:05:59.2936081Z  * [new tag]                 ciflow/inductor/164657      -> ciflow/inductor/164657
2025-11-03T17:05:59.2937382Z  * [new tag]                 ciflow/inductor/164938      -> ciflow/inductor/164938
2025-11-03T17:05:59.2938680Z  * [new tag]                 ciflow/inductor/164979      -> ciflow/inductor/164979
2025-11-03T17:05:59.2939993Z  * [new tag]                 ciflow/inductor/164980      -> ciflow/inductor/164980
2025-11-03T17:05:59.2941317Z  * [new tag]                 ciflow/inductor/165005      -> ciflow/inductor/165005
2025-11-03T17:05:59.2942602Z  * [new tag]                 ciflow/inductor/165029      -> ciflow/inductor/165029
2025-11-03T17:05:59.2943945Z  * [new tag]                 ciflow/inductor/165092      -> ciflow/inductor/165092
2025-11-03T17:05:59.2945266Z  * [new tag]                 ciflow/inductor/165132      -> ciflow/inductor/165132
2025-11-03T17:05:59.2946598Z  * [new tag]                 ciflow/inductor/165197      -> ciflow/inductor/165197
2025-11-03T17:05:59.2947890Z  * [new tag]                 ciflow/inductor/165274      -> ciflow/inductor/165274
2025-11-03T17:05:59.2949244Z  * [new tag]                 ciflow/inductor/165283      -> ciflow/inductor/165283
2025-11-03T17:05:59.2950518Z  * [new tag]                 ciflow/inductor/165284      -> ciflow/inductor/165284
2025-11-03T17:05:59.2952038Z  * [new tag]                 ciflow/inductor/165367      -> ciflow/inductor/165367
2025-11-03T17:05:59.2953523Z  * [new tag]                 ciflow/inductor/165423      -> ciflow/inductor/165423
2025-11-03T17:05:59.2954895Z  * [new tag]                 ciflow/inductor/165487      -> ciflow/inductor/165487
2025-11-03T17:05:59.2956271Z  * [new tag]                 ciflow/inductor/165541      -> ciflow/inductor/165541
2025-11-03T17:05:59.2957597Z  * [new tag]                 ciflow/inductor/165597      -> ciflow/inductor/165597
2025-11-03T17:05:59.2959066Z  * [new tag]                 ciflow/inductor/165686      -> ciflow/inductor/165686
2025-11-03T17:05:59.2960584Z  * [new tag]                 ciflow/inductor/165790      -> ciflow/inductor/165790
2025-11-03T17:05:59.2961897Z  * [new tag]                 ciflow/inductor/165824      -> ciflow/inductor/165824
2025-11-03T17:05:59.2963231Z  * [new tag]                 ciflow/inductor/165856      -> ciflow/inductor/165856
2025-11-03T17:05:59.2964531Z  * [new tag]                 ciflow/inductor/165885      -> ciflow/inductor/165885
2025-11-03T17:05:59.2965905Z  * [new tag]                 ciflow/inductor/165952      -> ciflow/inductor/165952
2025-11-03T17:05:59.2967457Z  * [new tag]                 ciflow/inductor/165953      -> ciflow/inductor/165953
2025-11-03T17:05:59.2968593Z  * [new tag]                 ciflow/inductor/166071      -> ciflow/inductor/166071
2025-11-03T17:05:59.2970095Z  * [new tag]                 ciflow/inductor/166083      -> ciflow/inductor/166083
2025-11-03T17:05:59.2971443Z  * [new tag]                 ciflow/inductor/166170      -> ciflow/inductor/166170
2025-11-03T17:05:59.2972970Z  * [new tag]                 ciflow/inductor/166198      -> ciflow/inductor/166198
2025-11-03T17:05:59.2974442Z  * [new tag]                 ciflow/inductor/166225      -> ciflow/inductor/166225
2025-11-03T17:05:59.2975801Z  * [new tag]                 ciflow/inductor/166236      -> ciflow/inductor/166236
2025-11-03T17:05:59.2977078Z  * [new tag]                 ciflow/inductor/166250      -> ciflow/inductor/166250
2025-11-03T17:05:59.2978518Z  * [new tag]                 ciflow/inductor/166254      -> ciflow/inductor/166254
2025-11-03T17:05:59.2979841Z  * [new tag]                 ciflow/inductor/166276      -> ciflow/inductor/166276
2025-11-03T17:05:59.2981148Z  * [new tag]                 ciflow/inductor/166294      -> ciflow/inductor/166294
2025-11-03T17:05:59.2982467Z  * [new tag]                 ciflow/inductor/166300      -> ciflow/inductor/166300
2025-11-03T17:05:59.2983847Z  * [new tag]                 ciflow/inductor/166320      -> ciflow/inductor/166320
2025-11-03T17:05:59.2985238Z  * [new tag]                 ciflow/inductor/166321      -> ciflow/inductor/166321
2025-11-03T17:05:59.2994067Z  * [new tag]                 ciflow/inductor/166337      -> ciflow/inductor/166337
2025-11-03T17:05:59.2994446Z  * [new tag]                 ciflow/inductor/166341      -> ciflow/inductor/166341
2025-11-03T17:05:59.2994637Z  * [new tag]                 ciflow/inductor/166354      -> ciflow/inductor/166354
2025-11-03T17:05:59.2994820Z  * [new tag]                 ciflow/inductor/166355      -> ciflow/inductor/166355
2025-11-03T17:05:59.2994998Z  * [new tag]                 ciflow/inductor/166361      -> ciflow/inductor/166361
2025-11-03T17:05:59.2995180Z  * [new tag]                 ciflow/inductor/166366      -> ciflow/inductor/166366
2025-11-03T17:05:59.2995364Z  * [new tag]                 ciflow/inductor/166367      -> ciflow/inductor/166367
2025-11-03T17:05:59.2996253Z  * [new tag]                 ciflow/inductor/166370      -> ciflow/inductor/166370
2025-11-03T17:05:59.2997778Z  * [new tag]                 ciflow/inductor/166371      -> ciflow/inductor/166371
2025-11-03T17:05:59.2999026Z  * [new tag]                 ciflow/inductor/166372      -> ciflow/inductor/166372
2025-11-03T17:05:59.3000605Z  * [new tag]                 ciflow/inductor/166377      -> ciflow/inductor/166377
2025-11-03T17:05:59.3001839Z  * [new tag]                 ciflow/inductor/166400      -> ciflow/inductor/166400
2025-11-03T17:05:59.3003218Z  * [new tag]                 ciflow/inductor/166402      -> ciflow/inductor/166402
2025-11-03T17:05:59.3004509Z  * [new tag]                 ciflow/inductor/166417      -> ciflow/inductor/166417
2025-11-03T17:05:59.3005844Z  * [new tag]                 ciflow/inductor/166433      -> ciflow/inductor/166433
2025-11-03T17:05:59.3007358Z  * [new tag]                 ciflow/inductor/166442      -> ciflow/inductor/166442
2025-11-03T17:05:59.3008771Z  * [new tag]                 ciflow/inductor/166467      -> ciflow/inductor/166467
2025-11-03T17:05:59.3010102Z  * [new tag]                 ciflow/inductor/166479      -> ciflow/inductor/166479
2025-11-03T17:05:59.3011559Z  * [new tag]                 ciflow/inductor/166482      -> ciflow/inductor/166482
2025-11-03T17:05:59.3012913Z  * [new tag]                 ciflow/inductor/166483      -> ciflow/inductor/166483
2025-11-03T17:05:59.3014334Z  * [new tag]                 ciflow/inductor/166494      -> ciflow/inductor/166494
2025-11-03T17:05:59.3015798Z  * [new tag]                 ciflow/inductor/166498      -> ciflow/inductor/166498
2025-11-03T17:05:59.3017385Z  * [new tag]                 ciflow/inductor/166499      -> ciflow/inductor/166499
2025-11-03T17:05:59.3018342Z  * [new tag]                 ciflow/inductor/166515      -> ciflow/inductor/166515
2025-11-03T17:05:59.3019897Z  * [new tag]                 ciflow/inductor/166536      -> ciflow/inductor/166536
2025-11-03T17:05:59.3021301Z  * [new tag]                 ciflow/inductor/166540      -> ciflow/inductor/166540
2025-11-03T17:05:59.3022619Z  * [new tag]                 ciflow/inductor/166541      -> ciflow/inductor/166541
2025-11-03T17:05:59.3023929Z  * [new tag]                 ciflow/inductor/166545      -> ciflow/inductor/166545
2025-11-03T17:05:59.3025250Z  * [new tag]                 ciflow/inductor/166581      -> ciflow/inductor/166581
2025-11-03T17:05:59.3026559Z  * [new tag]                 ciflow/inductor/166584      -> ciflow/inductor/166584
2025-11-03T17:05:59.3027945Z  * [new tag]                 ciflow/inductor/166593      -> ciflow/inductor/166593
2025-11-03T17:05:59.3029395Z  * [new tag]                 ciflow/inductor/166600      -> ciflow/inductor/166600
2025-11-03T17:05:59.3030730Z  * [new tag]                 ciflow/inductor/166608      -> ciflow/inductor/166608
2025-11-03T17:05:59.3034436Z  * [new tag]                 ciflow/inductor/166610      -> ciflow/inductor/166610
2025-11-03T17:05:59.3035807Z  * [new tag]                 ciflow/inductor/166629      -> ciflow/inductor/166629
2025-11-03T17:05:59.3037294Z  * [new tag]                 ciflow/inductor/166640      -> ciflow/inductor/166640
2025-11-03T17:05:59.3038855Z  * [new tag]                 ciflow/inductor/166648      -> ciflow/inductor/166648
2025-11-03T17:05:59.3040268Z  * [new tag]                 ciflow/inductor/166658      -> ciflow/inductor/166658
2025-11-03T17:05:59.3041589Z  * [new tag]                 ciflow/inductor/166659      -> ciflow/inductor/166659
2025-11-03T17:05:59.3043120Z  * [new tag]                 ciflow/inductor/166662      -> ciflow/inductor/166662
2025-11-03T17:05:59.3044490Z  * [new tag]                 ciflow/inductor/166663      -> ciflow/inductor/166663
2025-11-03T17:05:59.3045819Z  * [new tag]                 ciflow/inductor/166664      -> ciflow/inductor/166664
2025-11-03T17:05:59.3047136Z  * [new tag]                 ciflow/inductor/166669      -> ciflow/inductor/166669
2025-11-03T17:05:59.3048473Z  * [new tag]                 ciflow/inductor/166673      -> ciflow/inductor/166673
2025-11-03T17:05:59.3049795Z  * [new tag]                 ciflow/inductor/166674      -> ciflow/inductor/166674
2025-11-03T17:05:59.3051208Z  * [new tag]                 ciflow/inductor/166676      -> ciflow/inductor/166676
2025-11-03T17:05:59.3052347Z  * [new tag]                 ciflow/inductor/166679      -> ciflow/inductor/166679
2025-11-03T17:05:59.3054099Z  * [new tag]                 ciflow/inductor/166701      -> ciflow/inductor/166701
2025-11-03T17:05:59.3055389Z  * [new tag]                 ciflow/inductor/166720      -> ciflow/inductor/166720
2025-11-03T17:05:59.3056722Z  * [new tag]                 ciflow/inductor/166738      -> ciflow/inductor/166738
2025-11-03T17:05:59.3058185Z  * [new tag]                 ciflow/inductor/166740      -> ciflow/inductor/166740
2025-11-03T17:05:59.3059512Z  * [new tag]                 ciflow/inductor/166741      -> ciflow/inductor/166741
2025-11-03T17:05:59.3060777Z  * [new tag]                 ciflow/inductor/166745      -> ciflow/inductor/166745
2025-11-03T17:05:59.3062304Z  * [new tag]                 ciflow/inductor/166747      -> ciflow/inductor/166747
2025-11-03T17:05:59.3063666Z  * [new tag]                 ciflow/inductor/166757      -> ciflow/inductor/166757
2025-11-03T17:05:59.3064975Z  * [new tag]                 ciflow/inductor/166762      -> ciflow/inductor/166762
2025-11-03T17:05:59.3066297Z  * [new tag]                 ciflow/inductor/166775      -> ciflow/inductor/166775
2025-11-03T17:05:59.3067645Z  * [new tag]                 ciflow/inductor/166776      -> ciflow/inductor/166776
2025-11-03T17:05:59.3068974Z  * [new tag]                 ciflow/inductor/166777      -> ciflow/inductor/166777
2025-11-03T17:05:59.3070464Z  * [new tag]                 ciflow/inductor/166788      -> ciflow/inductor/166788
2025-11-03T17:05:59.3071783Z  * [new tag]                 ciflow/inductor/166791      -> ciflow/inductor/166791
2025-11-03T17:05:59.3073112Z  * [new tag]                 ciflow/inductor/166793      -> ciflow/inductor/166793
2025-11-03T17:05:59.3074455Z  * [new tag]                 ciflow/inductor/166803      -> ciflow/inductor/166803
2025-11-03T17:05:59.3075778Z  * [new tag]                 ciflow/inductor/166808      -> ciflow/inductor/166808
2025-11-03T17:05:59.3077536Z  * [new tag]                 ciflow/inductor/166822      -> ciflow/inductor/166822
2025-11-03T17:05:59.3078878Z  * [new tag]                 ciflow/inductor/166834      -> ciflow/inductor/166834
2025-11-03T17:05:59.3080438Z  * [new tag]                 ciflow/inductor/166839      -> ciflow/inductor/166839
2025-11-03T17:05:59.3081916Z  * [new tag]                 ciflow/inductor/166846      -> ciflow/inductor/166846
2025-11-03T17:05:59.3083225Z  * [new tag]                 ciflow/inductor/166855      -> ciflow/inductor/166855
2025-11-03T17:05:59.3084549Z  * [new tag]                 ciflow/inductor/166867      -> ciflow/inductor/166867
2025-11-03T17:05:59.3085858Z  * [new tag]                 ciflow/inductor/166868      -> ciflow/inductor/166868
2025-11-03T17:05:59.3087207Z  * [new tag]                 ciflow/inductor/166869      -> ciflow/inductor/166869
2025-11-03T17:05:59.3088776Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-11-03T17:05:59.3090352Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-11-03T17:05:59.3091832Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-11-03T17:05:59.3093544Z  * [new tag]                 ciflow/linux-aarch64/166380 -> ciflow/linux-aarch64/166380
2025-11-03T17:05:59.3094667Z  * [new tag]                 ciflow/linux-aarch64/166441 -> ciflow/linux-aarch64/166441
2025-11-03T17:05:59.3096019Z  * [new tag]                 ciflow/linux-aarch64/166549 -> ciflow/linux-aarch64/166549
2025-11-03T17:05:59.3097134Z  * [new tag]                 ciflow/linux-aarch64/166640 -> ciflow/linux-aarch64/166640
2025-11-03T17:05:59.3098894Z  * [new tag]                 ciflow/linux-aarch64/166691 -> ciflow/linux-aarch64/166691
2025-11-03T17:05:59.3100010Z  * [new tag]                 ciflow/linux-aarch64/166849 -> ciflow/linux-aarch64/166849
2025-11-03T17:05:59.3101726Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-11-03T17:05:59.3102755Z  * [new tag]                 ciflow/mps/157554           -> ciflow/mps/157554
2025-11-03T17:05:59.3104182Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-11-03T17:05:59.3105398Z  * [new tag]                 ciflow/mps/165952           -> ciflow/mps/165952
2025-11-03T17:05:59.3106644Z  * [new tag]                 ciflow/mps/166254           -> ciflow/mps/166254
2025-11-03T17:05:59.3107831Z  * [new tag]                 ciflow/mps/166273           -> ciflow/mps/166273
2025-11-03T17:05:59.3109261Z  * [new tag]                 ciflow/mps/166396           -> ciflow/mps/166396
2025-11-03T17:05:59.3110477Z  * [new tag]                 ciflow/mps/166615           -> ciflow/mps/166615
2025-11-03T17:05:59.3111768Z  * [new tag]                 ciflow/mps/166687           -> ciflow/mps/166687
2025-11-03T17:05:59.3113067Z  * [new tag]                 ciflow/mps/166712           -> ciflow/mps/166712
2025-11-03T17:05:59.3114726Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-11-03T17:05:59.3115942Z  * [new tag]                 ciflow/nightly/166727       -> ciflow/nightly/166727
2025-11-03T17:05:59.3117532Z  * [new tag]                 ciflow/op-benchmark/165915  -> ciflow/op-benchmark/165915
2025-11-03T17:05:59.3118640Z  * [new tag]                 ciflow/op-benchmark/166331  -> ciflow/op-benchmark/166331
2025-11-03T17:05:59.3119988Z  * [new tag]                 ciflow/op-benchmark/166640  -> ciflow/op-benchmark/166640
2025-11-03T17:05:59.3121193Z  * [new tag]                 ciflow/op-benchmark/166652  -> ciflow/op-benchmark/166652
2025-11-03T17:05:59.3122459Z  * [new tag]                 ciflow/op-benchmark/166731  -> ciflow/op-benchmark/166731
2025-11-03T17:05:59.3124043Z  * [new tag]                 ciflow/periodic-rocm-mi200/166743 -> ciflow/periodic-rocm-mi200/166743
2025-11-03T17:05:59.3125664Z  * [new tag]                 ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517
2025-11-03T17:05:59.3126700Z  * [new tag]                 ciflow/periodic-rocm-mi300/166743 -> ciflow/periodic-rocm-mi300/166743
2025-11-03T17:05:59.3128678Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-11-03T17:05:59.3130484Z  * [new tag]                 ciflow/periodic/06e71c85583d9857f716b441eef9db40d3f27a39 -> ciflow/periodic/06e71c85583d9857f716b441eef9db40d3f27a39
2025-11-03T17:05:59.3131842Z  * [new tag]                 ciflow/periodic/0e46a10aa7cf69354a0a0cbd268506b53a7cc882 -> ciflow/periodic/0e46a10aa7cf69354a0a0cbd268506b53a7cc882
2025-11-03T17:05:59.3133025Z  * [new tag]                 ciflow/periodic/163490      -> ciflow/periodic/163490
2025-11-03T17:05:59.3134347Z  * [new tag]                 ciflow/periodic/164202      -> ciflow/periodic/164202
2025-11-03T17:05:59.3135438Z  * [new tag]                 ciflow/periodic/164938      -> ciflow/periodic/164938
2025-11-03T17:05:59.3136897Z  * [new tag]                 ciflow/periodic/165885      -> ciflow/periodic/165885
2025-11-03T17:05:59.3138477Z  * [new tag]                 ciflow/periodic/166517      -> ciflow/periodic/166517
2025-11-03T17:05:59.3140541Z  * [new tag]                 ciflow/periodic/1e836bc769f9cfabc7659a172b8c2edee7c375d3 -> ciflow/periodic/1e836bc769f9cfabc7659a172b8c2edee7c375d3
2025-11-03T17:05:59.3141503Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-11-03T17:05:59.3143199Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-11-03T17:05:59.3144631Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-11-03T17:05:59.3146215Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-11-03T17:05:59.3147870Z  * [new tag]                 ciflow/periodic/687c15c0b3f01118536413d21efcd052838fa10d -> ciflow/periodic/687c15c0b3f01118536413d21efcd052838fa10d
2025-11-03T17:05:59.3149281Z  * [new tag]                 ciflow/periodic/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a -> ciflow/periodic/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a
2025-11-03T17:05:59.3150726Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-11-03T17:05:59.3152536Z  * [new tag]                 ciflow/periodic/96b61844a722d2ae8b1a2dc283a6c0060b40782e -> ciflow/periodic/96b61844a722d2ae8b1a2dc283a6c0060b40782e
2025-11-03T17:05:59.3153926Z  * [new tag]                 ciflow/periodic/be283297100ab86123e74b7a8372995d32b140c8 -> ciflow/periodic/be283297100ab86123e74b7a8372995d32b140c8
2025-11-03T17:05:59.3155530Z  * [new tag]                 ciflow/periodic/bfc2050db975e589795cd3eceaed2e83bf89ad35 -> ciflow/periodic/bfc2050db975e589795cd3eceaed2e83bf89ad35
2025-11-03T17:05:59.3157051Z  * [new tag]                 ciflow/periodic/c5701d0ab5f55b23243dd437f57e856970c45bb6 -> ciflow/periodic/c5701d0ab5f55b23243dd437f57e856970c45bb6
2025-11-03T17:05:59.3158463Z  * [new tag]                 ciflow/periodic/cde81e92b95eee9af2879c9c75f7b03699ca72ad -> ciflow/periodic/cde81e92b95eee9af2879c9c75f7b03699ca72ad
2025-11-03T17:05:59.3160166Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-11-03T17:05:59.3161661Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-11-03T17:05:59.3163110Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-11-03T17:05:59.3164742Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-11-03T17:05:59.3166532Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-11-03T17:05:59.3167986Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-11-03T17:05:59.3169529Z  * [new tag]                 ciflow/pull/166321          -> ciflow/pull/166321
2025-11-03T17:05:59.3170729Z  * [new tag]                 ciflow/pull/166768          -> ciflow/pull/166768
2025-11-03T17:05:59.3172547Z  * [new tag]                 ciflow/pull/18f425962656f009e151944d12f76e2f856b85df -> ciflow/pull/18f425962656f009e151944d12f76e2f856b85df
2025-11-03T17:05:59.3174047Z  * [new tag]                 ciflow/pull/76780b1a3d208b142f067bdd655e7d4c5615efe1 -> ciflow/pull/76780b1a3d208b142f067bdd655e7d4c5615efe1
2025-11-03T17:05:59.3175855Z  * [new tag]                 ciflow/pull/79aee77381b21d41c77148e5ff84c4b351aaf144 -> ciflow/pull/79aee77381b21d41c77148e5ff84c4b351aaf144
2025-11-03T17:05:59.3177619Z  * [new tag]                 ciflow/pull/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185 -> ciflow/pull/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185
2025-11-03T17:05:59.3178996Z  * [new tag]                 ciflow/pull/cee03634dab2dbf259d84bc389bdea80de0f80ac -> ciflow/pull/cee03634dab2dbf259d84bc389bdea80de0f80ac
2025-11-03T17:05:59.3180996Z  * [new tag]                 ciflow/pull/d962bed15798961ffd10e64068f86a2cec411ffb -> ciflow/pull/d962bed15798961ffd10e64068f86a2cec411ffb
2025-11-03T17:05:59.3182488Z  * [new tag]                 ciflow/pull/e471800dceb8a6592562fc4fc96a5e80bc494c0a -> ciflow/pull/e471800dceb8a6592562fc4fc96a5e80bc494c0a
2025-11-03T17:05:59.3184106Z  * [new tag]                 ciflow/pull/f013e804c876a34cbc86a6a475597e3e29812883 -> ciflow/pull/f013e804c876a34cbc86a6a475597e3e29812883
2025-11-03T17:05:59.3185640Z  * [new tag]                 ciflow/pull/f5cb9a4c68d9271c58ef4d3257210984b8e85099 -> ciflow/pull/f5cb9a4c68d9271c58ef4d3257210984b8e85099
2025-11-03T17:05:59.3186919Z  * [new tag]                 ciflow/rocm-mi300/162053    -> ciflow/rocm-mi300/162053
2025-11-03T17:05:59.3188167Z  * [new tag]                 ciflow/rocm-mi300/165548    -> ciflow/rocm-mi300/165548
2025-11-03T17:05:59.3189506Z  * [new tag]                 ciflow/rocm-mi300/166317    -> ciflow/rocm-mi300/166317
2025-11-03T17:05:59.3190762Z  * [new tag]                 ciflow/rocm-mi300/166743    -> ciflow/rocm-mi300/166743
2025-11-03T17:05:59.3192272Z  * [new tag]                 ciflow/rocm-mi355/162053    -> ciflow/rocm-mi355/162053
2025-11-03T17:05:59.3193550Z  * [new tag]                 ciflow/rocm-mi355/166743    -> ciflow/rocm-mi355/166743
2025-11-03T17:05:59.3195073Z  * [new tag]                 ciflow/rocm/115316          -> ciflow/rocm/115316
2025-11-03T17:05:59.3196283Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-11-03T17:05:59.3197513Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-11-03T17:05:59.3198579Z  * [new tag]                 ciflow/rocm/157553          -> ciflow/rocm/157553
2025-11-03T17:05:59.3199927Z  * [new tag]                 ciflow/rocm/157635          -> ciflow/rocm/157635
2025-11-03T17:05:59.3201120Z  * [new tag]                 ciflow/rocm/160685          -> ciflow/rocm/160685
2025-11-03T17:05:59.3202387Z  * [new tag]                 ciflow/rocm/161404          -> ciflow/rocm/161404
2025-11-03T17:05:59.3203614Z  * [new tag]                 ciflow/rocm/162053          -> ciflow/rocm/162053
2025-11-03T17:05:59.3204838Z  * [new tag]                 ciflow/rocm/163369          -> ciflow/rocm/163369
2025-11-03T17:05:59.3206038Z  * [new tag]                 ciflow/rocm/164657          -> ciflow/rocm/164657
2025-11-03T17:05:59.3207287Z  * [new tag]                 ciflow/rocm/165132          -> ciflow/rocm/165132
2025-11-03T17:05:59.3208849Z  * [new tag]                 ciflow/rocm/165541          -> ciflow/rocm/165541
2025-11-03T17:05:59.3210497Z  * [new tag]                 ciflow/rocm/165548          -> ciflow/rocm/165548
2025-11-03T17:05:59.3212136Z  * [new tag]                 ciflow/rocm/165952          -> ciflow/rocm/165952
2025-11-03T17:05:59.3213621Z  * [new tag]                 ciflow/rocm/165997          -> ciflow/rocm/165997
2025-11-03T17:05:59.3214934Z  * [new tag]                 ciflow/rocm/166250          -> ciflow/rocm/166250
2025-11-03T17:05:59.3216210Z  * [new tag]                 ciflow/rocm/166317          -> ciflow/rocm/166317
2025-11-03T17:05:59.3217499Z  * [new tag]                 ciflow/rocm/166377          -> ciflow/rocm/166377
2025-11-03T17:05:59.3218947Z  * [new tag]                 ciflow/rocm/166391          -> ciflow/rocm/166391
2025-11-03T17:05:59.3220199Z  * [new tag]                 ciflow/rocm/166515          -> ciflow/rocm/166515
2025-11-03T17:05:59.3221566Z  * [new tag]                 ciflow/rocm/166517          -> ciflow/rocm/166517
2025-11-03T17:05:59.3222966Z  * [new tag]                 ciflow/rocm/166526          -> ciflow/rocm/166526
2025-11-03T17:05:59.3224282Z  * [new tag]                 ciflow/rocm/166743          -> ciflow/rocm/166743
2025-11-03T17:05:59.3225589Z  * [new tag]                 ciflow/rocm/166744          -> ciflow/rocm/166744
2025-11-03T17:05:59.3226878Z  * [new tag]                 ciflow/rocm/166752          -> ciflow/rocm/166752
2025-11-03T17:05:59.3228187Z  * [new tag]                 ciflow/rocm/166764          -> ciflow/rocm/166764
2025-11-03T17:05:59.3229482Z  * [new tag]                 ciflow/rocm/166834          -> ciflow/rocm/166834
2025-11-03T17:05:59.3230750Z  * [new tag]                 ciflow/rocm/166870          -> ciflow/rocm/166870
2025-11-03T17:05:59.3232654Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-11-03T17:05:59.3234068Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-11-03T17:05:59.3236019Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-11-03T17:05:59.3236769Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-11-03T17:05:59.3238176Z  * [new tag]                 ciflow/slow/166844          -> ciflow/slow/166844
2025-11-03T17:05:59.3239615Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-11-03T17:05:59.3241062Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-11-03T17:05:59.3242430Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-11-03T17:05:59.3244200Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-11-03T17:05:59.3246392Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-11-03T17:05:59.3247878Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-11-03T17:05:59.3249323Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-11-03T17:05:59.3250743Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-11-03T17:05:59.3252717Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-11-03T17:05:59.3253812Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-11-03T17:05:59.3255346Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-11-03T17:05:59.3256797Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-11-03T17:05:59.3258271Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-11-03T17:05:59.3259822Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-11-03T17:05:59.3261724Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-11-03T17:05:59.3263510Z  * [new tag]                 ciflow/trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12 -> ciflow/trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12
2025-11-03T17:05:59.3264880Z  * [new tag]                 ciflow/trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445 -> ciflow/trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445
2025-11-03T17:05:59.3265679Z  * [new tag]                 ciflow/trunk/137400         -> ciflow/trunk/137400
2025-11-03T17:05:59.3267278Z  * [new tag]                 ciflow/trunk/148180         -> ciflow/trunk/148180
2025-11-03T17:05:59.3268471Z  * [new tag]                 ciflow/trunk/148328         -> ciflow/trunk/148328
2025-11-03T17:05:59.3269692Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-11-03T17:05:59.3270888Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-11-03T17:05:59.3272416Z  * [new tag]                 ciflow/trunk/152624         -> ciflow/trunk/152624
2025-11-03T17:05:59.3273925Z  * [new tag]                 ciflow/trunk/155731         -> ciflow/trunk/155731
2025-11-03T17:05:59.3275371Z  * [new tag]                 ciflow/trunk/156812         -> ciflow/trunk/156812
2025-11-03T17:05:59.3276684Z  * [new tag]                 ciflow/trunk/157432         -> ciflow/trunk/157432
2025-11-03T17:05:59.3277950Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-11-03T17:05:59.3279241Z  * [new tag]                 ciflow/trunk/160417         -> ciflow/trunk/160417
2025-11-03T17:05:59.3280814Z  * [new tag]                 ciflow/trunk/161035         -> ciflow/trunk/161035
2025-11-03T17:05:59.3282205Z  * [new tag]                 ciflow/trunk/161771         -> ciflow/trunk/161771
2025-11-03T17:05:59.3283514Z  * [new tag]                 ciflow/trunk/162053         -> ciflow/trunk/162053
2025-11-03T17:05:59.3284908Z  * [new tag]                 ciflow/trunk/162454         -> ciflow/trunk/162454
2025-11-03T17:05:59.3286291Z  * [new tag]                 ciflow/trunk/162564         -> ciflow/trunk/162564
2025-11-03T17:05:59.3287560Z  * [new tag]                 ciflow/trunk/162709         -> ciflow/trunk/162709
2025-11-03T17:05:59.3288862Z  * [new tag]                 ciflow/trunk/162795         -> ciflow/trunk/162795
2025-11-03T17:05:59.3290160Z  * [new tag]                 ciflow/trunk/163249         -> ciflow/trunk/163249
2025-11-03T17:05:59.3291708Z  * [new tag]                 ciflow/trunk/163490         -> ciflow/trunk/163490
2025-11-03T17:05:59.3292633Z  * [new tag]                 ciflow/trunk/164202         -> ciflow/trunk/164202
2025-11-03T17:05:59.3294122Z  * [new tag]                 ciflow/trunk/164938         -> ciflow/trunk/164938
2025-11-03T17:05:59.3295906Z  * [new tag]                 ciflow/trunk/164979         -> ciflow/trunk/164979
2025-11-03T17:05:59.3297197Z  * [new tag]                 ciflow/trunk/164980         -> ciflow/trunk/164980
2025-11-03T17:05:59.3298528Z  * [new tag]                 ciflow/trunk/165005         -> ciflow/trunk/165005
2025-11-03T17:05:59.3299813Z  * [new tag]                 ciflow/trunk/165029         -> ciflow/trunk/165029
2025-11-03T17:05:59.3301256Z  * [new tag]                 ciflow/trunk/165049         -> ciflow/trunk/165049
2025-11-03T17:05:59.3302717Z  * [new tag]                 ciflow/trunk/165067         -> ciflow/trunk/165067
2025-11-03T17:05:59.3304072Z  * [new tag]                 ciflow/trunk/165132         -> ciflow/trunk/165132
2025-11-03T17:05:59.3305587Z  * [new tag]                 ciflow/trunk/165216         -> ciflow/trunk/165216
2025-11-03T17:05:59.3307008Z  * [new tag]                 ciflow/trunk/165228         -> ciflow/trunk/165228
2025-11-03T17:05:59.3308348Z  * [new tag]                 ciflow/trunk/165274         -> ciflow/trunk/165274
2025-11-03T17:05:59.3309769Z  * [new tag]                 ciflow/trunk/165431         -> ciflow/trunk/165431
2025-11-03T17:05:59.3311154Z  * [new tag]                 ciflow/trunk/165548         -> ciflow/trunk/165548
2025-11-03T17:05:59.3312474Z  * [new tag]                 ciflow/trunk/165642         -> ciflow/trunk/165642
2025-11-03T17:05:59.3314037Z  * [new tag]                 ciflow/trunk/165646         -> ciflow/trunk/165646
2025-11-03T17:05:59.3315050Z  * [new tag]                 ciflow/trunk/165728         -> ciflow/trunk/165728
2025-11-03T17:05:59.3316420Z  * [new tag]                 ciflow/trunk/165824         -> ciflow/trunk/165824
2025-11-03T17:05:59.3317706Z  * [new tag]                 ciflow/trunk/165885         -> ciflow/trunk/165885
2025-11-03T17:05:59.3319028Z  * [new tag]                 ciflow/trunk/165922         -> ciflow/trunk/165922
2025-11-03T17:05:59.3320337Z  * [new tag]                 ciflow/trunk/165972         -> ciflow/trunk/165972
2025-11-03T17:05:59.3321730Z  * [new tag]                 ciflow/trunk/166010         -> ciflow/trunk/166010
2025-11-03T17:05:59.3323295Z  * [new tag]                 ciflow/trunk/166071         -> ciflow/trunk/166071
2025-11-03T17:05:59.3324467Z  * [new tag]                 ciflow/trunk/166160         -> ciflow/trunk/166160
2025-11-03T17:05:59.3325782Z  * [new tag]                 ciflow/trunk/166170         -> ciflow/trunk/166170
2025-11-03T17:05:59.3327418Z  * [new tag]                 ciflow/trunk/166198         -> ciflow/trunk/166198
2025-11-03T17:05:59.3328253Z  * [new tag]                 ciflow/trunk/166294         -> ciflow/trunk/166294
2025-11-03T17:05:59.3329730Z  * [new tag]                 ciflow/trunk/166299         -> ciflow/trunk/166299
2025-11-03T17:05:59.3331046Z  * [new tag]                 ciflow/trunk/166317         -> ciflow/trunk/166317
2025-11-03T17:05:59.3332597Z  * [new tag]                 ciflow/trunk/166321         -> ciflow/trunk/166321
2025-11-03T17:05:59.3333965Z  * [new tag]                 ciflow/trunk/166361         -> ciflow/trunk/166361
2025-11-03T17:05:59.3335253Z  * [new tag]                 ciflow/trunk/166367         -> ciflow/trunk/166367
2025-11-03T17:05:59.3336793Z  * [new tag]                 ciflow/trunk/166376         -> ciflow/trunk/166376
2025-11-03T17:05:59.3338133Z  * [new tag]                 ciflow/trunk/166379         -> ciflow/trunk/166379
2025-11-03T17:05:59.3339434Z  * [new tag]                 ciflow/trunk/166380         -> ciflow/trunk/166380
2025-11-03T17:05:59.3340742Z  * [new tag]                 ciflow/trunk/166402         -> ciflow/trunk/166402
2025-11-03T17:05:59.3342043Z  * [new tag]                 ciflow/trunk/166416         -> ciflow/trunk/166416
2025-11-03T17:05:59.3343416Z  * [new tag]                 ciflow/trunk/166431         -> ciflow/trunk/166431
2025-11-03T17:05:59.3344651Z  * [new tag]                 ciflow/trunk/166433         -> ciflow/trunk/166433
2025-11-03T17:05:59.3345964Z  * [new tag]                 ciflow/trunk/166459         -> ciflow/trunk/166459
2025-11-03T17:05:59.3347320Z  * [new tag]                 ciflow/trunk/166469         -> ciflow/trunk/166469
2025-11-03T17:05:59.3348767Z  * [new tag]                 ciflow/trunk/166493         -> ciflow/trunk/166493
2025-11-03T17:05:59.3350073Z  * [new tag]                 ciflow/trunk/166526         -> ciflow/trunk/166526
2025-11-03T17:05:59.3351390Z  * [new tag]                 ciflow/trunk/166536         -> ciflow/trunk/166536
2025-11-03T17:05:59.3352705Z  * [new tag]                 ciflow/trunk/166541         -> ciflow/trunk/166541
2025-11-03T17:05:59.3354104Z  * [new tag]                 ciflow/trunk/166549         -> ciflow/trunk/166549
2025-11-03T17:05:59.3355846Z  * [new tag]                 ciflow/trunk/166560         -> ciflow/trunk/166560
2025-11-03T17:05:59.3357273Z  * [new tag]                 ciflow/trunk/166570         -> ciflow/trunk/166570
2025-11-03T17:05:59.3358610Z  * [new tag]                 ciflow/trunk/166608         -> ciflow/trunk/166608
2025-11-03T17:05:59.3360163Z  * [new tag]                 ciflow/trunk/166610         -> ciflow/trunk/166610
2025-11-03T17:05:59.3361331Z  * [new tag]                 ciflow/trunk/166613         -> ciflow/trunk/166613
2025-11-03T17:05:59.3362633Z  * [new tag]                 ciflow/trunk/166640         -> ciflow/trunk/166640
2025-11-03T17:05:59.3363970Z  * [new tag]                 ciflow/trunk/166687         -> ciflow/trunk/166687
2025-11-03T17:05:59.3365472Z  * [new tag]                 ciflow/trunk/166688         -> ciflow/trunk/166688
2025-11-03T17:05:59.3366619Z  * [new tag]                 ciflow/trunk/166689         -> ciflow/trunk/166689
2025-11-03T17:05:59.3368049Z  * [new tag]                 ciflow/trunk/166715         -> ciflow/trunk/166715
2025-11-03T17:05:59.3369323Z  * [new tag]                 ciflow/trunk/166727         -> ciflow/trunk/166727
2025-11-03T17:05:59.3370640Z  * [new tag]                 ciflow/trunk/166744         -> ciflow/trunk/166744
2025-11-03T17:05:59.3372148Z  * [new tag]                 ciflow/trunk/166751         -> ciflow/trunk/166751
2025-11-03T17:05:59.3373730Z  * [new tag]                 ciflow/trunk/166768         -> ciflow/trunk/166768
2025-11-03T17:05:59.3375921Z  * [new tag]                 ciflow/trunk/166791         -> ciflow/trunk/166791
2025-11-03T17:05:59.3376277Z  * [new tag]                 ciflow/trunk/166793         -> ciflow/trunk/166793
2025-11-03T17:05:59.3378544Z  * [new tag]                 ciflow/trunk/166805         -> ciflow/trunk/166805
2025-11-03T17:05:59.3378732Z  * [new tag]                 ciflow/trunk/166806         -> ciflow/trunk/166806
2025-11-03T17:05:59.3380031Z  * [new tag]                 ciflow/trunk/166813         -> ciflow/trunk/166813
2025-11-03T17:05:59.3381305Z  * [new tag]                 ciflow/trunk/166830         -> ciflow/trunk/166830
2025-11-03T17:05:59.3383082Z  * [new tag]                 ciflow/trunk/166839         -> ciflow/trunk/166839
2025-11-03T17:05:59.3384634Z  * [new tag]                 ciflow/trunk/166840         -> ciflow/trunk/166840
2025-11-03T17:05:59.3385928Z  * [new tag]                 ciflow/trunk/166844         -> ciflow/trunk/166844
2025-11-03T17:05:59.3387217Z  * [new tag]                 ciflow/trunk/166847         -> ciflow/trunk/166847
2025-11-03T17:05:59.3388521Z  * [new tag]                 ciflow/trunk/166861         -> ciflow/trunk/166861
2025-11-03T17:05:59.3390177Z  * [new tag]                 ciflow/trunk/18f425962656f009e151944d12f76e2f856b85df -> ciflow/trunk/18f425962656f009e151944d12f76e2f856b85df
2025-11-03T17:05:59.3391282Z  * [new tag]                 ciflow/trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1 -> ciflow/trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1
2025-11-03T17:05:59.3393124Z  * [new tag]                 ciflow/trunk/a19e92d43355489c8d33325321e688a6e6182267 -> ciflow/trunk/a19e92d43355489c8d33325321e688a6e6182267
2025-11-03T17:05:59.3394365Z  * [new tag]                 ciflow/trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185 -> ciflow/trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185
2025-11-03T17:05:59.3396139Z  * [new tag]                 ciflow/trunk/c3dc0c7089f3204c36961acc227a3ff503530094 -> ciflow/trunk/c3dc0c7089f3204c36961acc227a3ff503530094
2025-11-03T17:05:59.3397238Z  * [new tag]                 ciflow/trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac -> ciflow/trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac
2025-11-03T17:05:59.3398870Z  * [new tag]                 ciflow/trunk/d962bed15798961ffd10e64068f86a2cec411ffb -> ciflow/trunk/d962bed15798961ffd10e64068f86a2cec411ffb
2025-11-03T17:05:59.3399974Z  * [new tag]                 ciflow/trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a -> ciflow/trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a
2025-11-03T17:05:59.3401548Z  * [new tag]                 ciflow/trunk/f013e804c876a34cbc86a6a475597e3e29812883 -> ciflow/trunk/f013e804c876a34cbc86a6a475597e3e29812883
2025-11-03T17:05:59.3403117Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-11-03T17:05:59.3404611Z  * [new tag]                 ciflow/vllm/165274          -> ciflow/vllm/165274
2025-11-03T17:05:59.3405861Z  * [new tag]                 ciflow/vllm/166494          -> ciflow/vllm/166494
2025-11-03T17:05:59.3407419Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-11-03T17:05:59.3408895Z  * [new tag]                 ciflow/xpu/156812           -> ciflow/xpu/156812
2025-11-03T17:05:59.3410102Z  * [new tag]                 ciflow/xpu/161246           -> ciflow/xpu/161246
2025-11-03T17:05:59.3411440Z  * [new tag]                 ciflow/xpu/162454           -> ciflow/xpu/162454
2025-11-03T17:05:59.3412809Z  * [new tag]                 ciflow/xpu/162475           -> ciflow/xpu/162475
2025-11-03T17:05:59.3414108Z  * [new tag]                 ciflow/xpu/162564           -> ciflow/xpu/162564
2025-11-03T17:05:59.3415183Z  * [new tag]                 ciflow/xpu/165049           -> ciflow/xpu/165049
2025-11-03T17:05:59.3416519Z  * [new tag]                 ciflow/xpu/165423           -> ciflow/xpu/165423
2025-11-03T17:05:59.3417755Z  * [new tag]                 ciflow/xpu/166292           -> ciflow/xpu/166292
2025-11-03T17:05:59.3418977Z  * [new tag]                 ciflow/xpu/166299           -> ciflow/xpu/166299
2025-11-03T17:05:59.3420190Z  * [new tag]                 ciflow/xpu/166376           -> ciflow/xpu/166376
2025-11-03T17:05:59.3421392Z  * [new tag]                 ciflow/xpu/166396           -> ciflow/xpu/166396
2025-11-03T17:05:59.3423314Z  * [new tag]                 ciflow/xpu/166424           -> ciflow/xpu/166424
2025-11-03T17:05:59.3425222Z  * [new tag]                 ciflow/xpu/166436           -> ciflow/xpu/166436
2025-11-03T17:05:59.3426744Z  * [new tag]                 ciflow/xpu/166495           -> ciflow/xpu/166495
2025-11-03T17:05:59.3428218Z  * [new tag]                 ciflow/xpu/166504           -> ciflow/xpu/166504
2025-11-03T17:05:59.3429509Z  * [new tag]                 ciflow/xpu/166613           -> ciflow/xpu/166613
2025-11-03T17:05:59.3430947Z  * [new tag]                 ciflow/xpu/166684           -> ciflow/xpu/166684
2025-11-03T17:05:59.3434552Z  * [new tag]                 ciflow/xpu/166830           -> ciflow/xpu/166830
2025-11-03T17:05:59.3435852Z  * [new tag]                 ciflow/xpu/166834           -> ciflow/xpu/166834
2025-11-03T17:05:59.3437223Z  * [new tag]                 ciflow/xpu/166839           -> ciflow/xpu/166839
2025-11-03T17:05:59.3438515Z  * [new tag]                 ciflow/xpu/166840           -> ciflow/xpu/166840
2025-11-03T17:05:59.3439917Z  * [new tag]                 ciflow/xpu/166847           -> ciflow/xpu/166847
2025-11-03T17:05:59.3441764Z  * [new tag]                 ciflow/xpu/166861           -> ciflow/xpu/166861
2025-11-03T17:05:59.3443120Z  * [new tag]                 cslpull75                   -> cslpull75
2025-11-03T17:05:59.3444370Z  * [new tag]                 cslpull76                   -> cslpull76
2025-11-03T17:05:59.3445648Z  * [new tag]                 cslpull77                   -> cslpull77
2025-11-03T17:05:59.3446938Z  * [new tag]                 cslpull78                   -> cslpull78
2025-11-03T17:05:59.3448859Z  * [new tag]                 cslpull79                   -> cslpull79
2025-11-03T17:05:59.3450469Z  * [new tag]                 cslpull80                   -> cslpull80
2025-11-03T17:05:59.3451901Z  * [new tag]                 cslpull81                   -> cslpull81
2025-11-03T17:05:59.3453372Z  * [new tag]                 cslpull82                   -> cslpull82
2025-11-03T17:05:59.3454792Z  * [new tag]                 cslpull83                   -> cslpull83
2025-11-03T17:05:59.3456136Z  * [new tag]                 cslpull84                   -> cslpull84
2025-11-03T17:05:59.3457514Z  * [new tag]                 cslpull85                   -> cslpull85
2025-11-03T17:05:59.3458908Z  * [new tag]                 cslpull86                   -> cslpull86
2025-11-03T17:05:59.3460407Z  * [new tag]                 cslpull87                   -> cslpull87
2025-11-03T17:05:59.3461785Z  * [new tag]                 cslpull88                   -> cslpull88
2025-11-03T17:05:59.3463112Z  * [new tag]                 cslpull89                   -> cslpull89
2025-11-03T17:05:59.3464342Z  * [new tag]                 cslpull90                   -> cslpull90
2025-11-03T17:05:59.3466070Z  * [new tag]                 cslpull91                   -> cslpull91
2025-11-03T17:05:59.3467436Z  * [new tag]                 cslpull92                   -> cslpull92
2025-11-03T17:05:59.3468918Z  * [new tag]                 flight_5                    -> flight_5
2025-11-03T17:05:59.3470679Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-11-03T17:05:59.3471931Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-11-03T17:05:59.3473317Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-11-03T17:05:59.3474673Z  * [new tag]                 forpull1                    -> forpull1
2025-11-03T17:05:59.3476344Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-11-03T17:05:59.3477719Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-11-03T17:05:59.3479059Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-11-03T17:05:59.3480503Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-11-03T17:05:59.3481891Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-11-03T17:05:59.3483436Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-11-03T17:05:59.3485533Z  * [new tag]                 trunk/000f49551bfda0683d395e1fe67f53cfb785868f -> trunk/000f49551bfda0683d395e1fe67f53cfb785868f
2025-11-03T17:05:59.3486859Z  * [new tag]                 trunk/009ea77234788b29910b1205679036eaae3ee3ac -> trunk/009ea77234788b29910b1205679036eaae3ee3ac
2025-11-03T17:05:59.3488583Z  * [new tag]                 trunk/0187db88d463905e5f7dcdf7689519e2807e5a12 -> trunk/0187db88d463905e5f7dcdf7689519e2807e5a12
2025-11-03T17:05:59.3490188Z  * [new tag]                 trunk/02095cc09db01f1fecae436ac1a6ecdf2cfca0db -> trunk/02095cc09db01f1fecae436ac1a6ecdf2cfca0db
2025-11-03T17:05:59.3491619Z  * [new tag]                 trunk/030de07affa347a80fa9f11ab8e9234fc6d7fd4d -> trunk/030de07affa347a80fa9f11ab8e9234fc6d7fd4d
2025-11-03T17:05:59.3493157Z  * [new tag]                 trunk/034e951b0cfb02d7b55327cd482e58cf2695dca0 -> trunk/034e951b0cfb02d7b55327cd482e58cf2695dca0
2025-11-03T17:05:59.3494655Z  * [new tag]                 trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12 -> trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12
2025-11-03T17:05:59.3495563Z  * [new tag]                 trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445 -> trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445
2025-11-03T17:05:59.3497279Z  * [new tag]                 trunk/061fa73c97dcfcb39077ce8fc4042e7f22824b22 -> trunk/061fa73c97dcfcb39077ce8fc4042e7f22824b22
2025-11-03T17:05:59.3498820Z  * [new tag]                 trunk/0674e0a0f14775f920296e9dfb8b61e4960bf99d -> trunk/0674e0a0f14775f920296e9dfb8b61e4960bf99d
2025-11-03T17:05:59.3499936Z  * [new tag]                 trunk/06e71c85583d9857f716b441eef9db40d3f27a39 -> trunk/06e71c85583d9857f716b441eef9db40d3f27a39
2025-11-03T17:05:59.3501561Z  * [new tag]                 trunk/08ae55021eafba28b304e78ef2da9a76741ce039 -> trunk/08ae55021eafba28b304e78ef2da9a76741ce039
2025-11-03T17:05:59.3502993Z  * [new tag]                 trunk/08b0a8f11a00e0442bd3b3066617a501dca29876 -> trunk/08b0a8f11a00e0442bd3b3066617a501dca29876
2025-11-03T17:05:59.3504455Z  * [new tag]                 trunk/08f4535378b9ab5c7ba74828bb20ad535e6de8eb -> trunk/08f4535378b9ab5c7ba74828bb20ad535e6de8eb
2025-11-03T17:05:59.3505901Z  * [new tag]                 trunk/0918bf321c2cfaebb91c5f9e5f0ebe462962328e -> trunk/0918bf321c2cfaebb91c5f9e5f0ebe462962328e
2025-11-03T17:05:59.3507358Z  * [new tag]                 trunk/0947765eb9208996f221dbcb088df800be3953d7 -> trunk/0947765eb9208996f221dbcb088df800be3953d7
2025-11-03T17:05:59.3508871Z  * [new tag]                 trunk/0a3ac47c0a36d7ed619e6577294648a7c14b1ae1 -> trunk/0a3ac47c0a36d7ed619e6577294648a7c14b1ae1
2025-11-03T17:05:59.3510762Z  * [new tag]                 trunk/0ae3e306217a67362371267bbba0ac3fa0855fdc -> trunk/0ae3e306217a67362371267bbba0ac3fa0855fdc
2025-11-03T17:05:59.3512186Z  * [new tag]                 trunk/0d3a4f7155508656bd928527840ed155e8b1a88b -> trunk/0d3a4f7155508656bd928527840ed155e8b1a88b
2025-11-03T17:05:59.3513754Z  * [new tag]                 trunk/0d4992c1702d9d14bc73c29d44029adb7e698eba -> trunk/0d4992c1702d9d14bc73c29d44029adb7e698eba
2025-11-03T17:05:59.3514885Z  * [new tag]                 trunk/0d50e5d8d4132cb09508b3e35701e7b06433420e -> trunk/0d50e5d8d4132cb09508b3e35701e7b06433420e
2025-11-03T17:05:59.3516560Z  * [new tag]                 trunk/0d81bb7f9cef1b735ff373a245aaa2bc037b31b0 -> trunk/0d81bb7f9cef1b735ff373a245aaa2bc037b31b0
2025-11-03T17:05:59.3517851Z  * [new tag]                 trunk/0e19561e235372a3fbed81338fa4e674116c0448 -> trunk/0e19561e235372a3fbed81338fa4e674116c0448
2025-11-03T17:05:59.3519010Z  * [new tag]                 trunk/0e46a10aa7cf69354a0a0cbd268506b53a7cc882 -> trunk/0e46a10aa7cf69354a0a0cbd268506b53a7cc882
2025-11-03T17:05:59.3520819Z  * [new tag]                 trunk/0eacd934bc1c1bee002fcd084300d596d789d166 -> trunk/0eacd934bc1c1bee002fcd084300d596d789d166
2025-11-03T17:05:59.3522277Z  * [new tag]                 trunk/0ec054982304473b51e6ded40c2dc3993d4036be -> trunk/0ec054982304473b51e6ded40c2dc3993d4036be
2025-11-03T17:05:59.3523360Z  * [new tag]                 trunk/104b86861862ccc47f6df6528347a017bef813ad -> trunk/104b86861862ccc47f6df6528347a017bef813ad
2025-11-03T17:05:59.3525061Z  * [new tag]                 trunk/108bb224f77842593009214ebf6258030b934642 -> trunk/108bb224f77842593009214ebf6258030b934642
2025-11-03T17:05:59.3526181Z  * [new tag]                 trunk/110efe4df4759006ce5aad4ae1b87d93dcf33c3b -> trunk/110efe4df4759006ce5aad4ae1b87d93dcf33c3b
2025-11-03T17:05:59.3527838Z  * [new tag]                 trunk/112960541529ab0d27bb8aa8b487ef194e048494 -> trunk/112960541529ab0d27bb8aa8b487ef194e048494
2025-11-03T17:05:59.3529784Z  * [new tag]                 trunk/121235956bab7430fb8d080cee209607f8387ead -> trunk/121235956bab7430fb8d080cee209607f8387ead
2025-11-03T17:05:59.3531689Z  * [new tag]                 trunk/12577064dddfc6f5daf66c5b5a73cb418a588f20 -> trunk/12577064dddfc6f5daf66c5b5a73cb418a588f20
2025-11-03T17:05:59.3533452Z  * [new tag]                 trunk/12c12466b082834d23c1f512130da9280badfd28 -> trunk/12c12466b082834d23c1f512130da9280badfd28
2025-11-03T17:05:59.3535031Z  * [new tag]                 trunk/13413b3b07cc72fa9c2671b2535f7e54c1b30ca2 -> trunk/13413b3b07cc72fa9c2671b2535f7e54c1b30ca2
2025-11-03T17:05:59.3536488Z  * [new tag]                 trunk/13549e0e105291721f6f80ceb8f520ca272b971d -> trunk/13549e0e105291721f6f80ceb8f520ca272b971d
2025-11-03T17:05:59.3537923Z  * [new tag]                 trunk/14102fb1f337d01ca61584011f5f657d14da5de6 -> trunk/14102fb1f337d01ca61584011f5f657d14da5de6
2025-11-03T17:05:59.3539195Z  * [new tag]                 trunk/1425b40f29ab11ce21f7a98de9e35551213efe27 -> trunk/1425b40f29ab11ce21f7a98de9e35551213efe27
2025-11-03T17:05:59.3540842Z  * [new tag]                 trunk/14d4a77495dc80da9cd7c5c29b21aaf4613ddc5b -> trunk/14d4a77495dc80da9cd7c5c29b21aaf4613ddc5b
2025-11-03T17:05:59.3542126Z  * [new tag]                 trunk/160ab53dd57e67b3574763615cf8b33249e9afa5 -> trunk/160ab53dd57e67b3574763615cf8b33249e9afa5
2025-11-03T17:05:59.3543646Z  * [new tag]                 trunk/16212f0d6bc1c4fb6ac0498badbe2fb74d5ff47b -> trunk/16212f0d6bc1c4fb6ac0498badbe2fb74d5ff47b
2025-11-03T17:05:59.3545162Z  * [new tag]                 trunk/1656b253c5fcc34a53a9991303170892c6d90c1d -> trunk/1656b253c5fcc34a53a9991303170892c6d90c1d
2025-11-03T17:05:59.3546656Z  * [new tag]                 trunk/173bcda436e9a00aa8215a414efc0c06cf4840a8 -> trunk/173bcda436e9a00aa8215a414efc0c06cf4840a8
2025-11-03T17:05:59.3548072Z  * [new tag]                 trunk/1764f3a9c8eea4cf0aba853348446948597b7b78 -> trunk/1764f3a9c8eea4cf0aba853348446948597b7b78
2025-11-03T17:05:59.3549611Z  * [new tag]                 trunk/17bdb232e1b3df3435fc6f54d3d713404ba96726 -> trunk/17bdb232e1b3df3435fc6f54d3d713404ba96726
2025-11-03T17:05:59.3551044Z  * [new tag]                 trunk/17d5aa47674c5195a3d4919169fb6a334598e2a6 -> trunk/17d5aa47674c5195a3d4919169fb6a334598e2a6
2025-11-03T17:05:59.3552455Z  * [new tag]                 trunk/181ee3bd42447b71a1a8435bf16c0877c4bc3ae7 -> trunk/181ee3bd42447b71a1a8435bf16c0877c4bc3ae7
2025-11-03T17:05:59.3553716Z  * [new tag]                 trunk/18f425962656f009e151944d12f76e2f856b85df -> trunk/18f425962656f009e151944d12f76e2f856b85df
2025-11-03T17:05:59.3555362Z  * [new tag]                 trunk/1abfa5f70b9aa0dcbd83dc40b092dda1cdcc7805 -> trunk/1abfa5f70b9aa0dcbd83dc40b092dda1cdcc7805
2025-11-03T17:05:59.3556838Z  * [new tag]                 trunk/1aef88c72d3aef629b20e97a188c9dc4bab46a1a -> trunk/1aef88c72d3aef629b20e97a188c9dc4bab46a1a
2025-11-03T17:05:59.3558304Z  * [new tag]                 trunk/1b655a87ef137d2cc9603a982532c5e033432daa -> trunk/1b655a87ef137d2cc9603a982532c5e033432daa
2025-11-03T17:05:59.3559731Z  * [new tag]                 trunk/1c4ced2eafa470832f2f4e24487785c5b7b188c9 -> trunk/1c4ced2eafa470832f2f4e24487785c5b7b188c9
2025-11-03T17:05:59.3561168Z  * [new tag]                 trunk/1dd6b76914397d466a7d9bfff551b6d8299fdce4 -> trunk/1dd6b76914397d466a7d9bfff551b6d8299fdce4
2025-11-03T17:05:59.3562640Z  * [new tag]                 trunk/1dec8a67a8dc88736e9c476a3eaee301684094cd -> trunk/1dec8a67a8dc88736e9c476a3eaee301684094cd
2025-11-03T17:05:59.3564099Z  * [new tag]                 trunk/1e3600b5287346b29a835ad67f8b33945e0ec698 -> trunk/1e3600b5287346b29a835ad67f8b33945e0ec698
2025-11-03T17:05:59.3565236Z  * [new tag]                 trunk/1e836bc769f9cfabc7659a172b8c2edee7c375d3 -> trunk/1e836bc769f9cfabc7659a172b8c2edee7c375d3
2025-11-03T17:05:59.3566897Z  * [new tag]                 trunk/1fa520ea654f5fc0b3c65ce6e056dd73442dd65d -> trunk/1fa520ea654f5fc0b3c65ce6e056dd73442dd65d
2025-11-03T17:05:59.3568355Z  * [new tag]                 trunk/1fdef664a5dffc3bd3d9eba9d78ed458a5f9dbcb -> trunk/1fdef664a5dffc3bd3d9eba9d78ed458a5f9dbcb
2025-11-03T17:05:59.3570042Z  * [new tag]                 trunk/20be077085daf739af76325d04f649dcd908316c -> trunk/20be077085daf739af76325d04f649dcd908316c
2025-11-03T17:05:59.3571160Z  * [new tag]                 trunk/21b48f8dfa7685699df4c97c0ba373d5364230d9 -> trunk/21b48f8dfa7685699df4c97c0ba373d5364230d9
2025-11-03T17:05:59.3572953Z  * [new tag]                 trunk/23669d02a67023ef3192f7dca0ac0547436cae50 -> trunk/23669d02a67023ef3192f7dca0ac0547436cae50
2025-11-03T17:05:59.3574259Z  * [new tag]                 trunk/236ce736a1a84352b21b564e3e5b0be833d7c10c -> trunk/236ce736a1a84352b21b564e3e5b0be833d7c10c
2025-11-03T17:05:59.3575660Z  * [new tag]                 trunk/239e7b541a94d16a33a4a48d3edc9a561777d86a -> trunk/239e7b541a94d16a33a4a48d3edc9a561777d86a
2025-11-03T17:05:59.3577219Z  * [new tag]                 trunk/23b57a445c6394d46a6b46e32b7787663f40d13b -> trunk/23b57a445c6394d46a6b46e32b7787663f40d13b
2025-11-03T17:05:59.3579253Z  * [new tag]                 trunk/24b6eb7727f7eef078f9366302f2aa3e1fef1db4 -> trunk/24b6eb7727f7eef078f9366302f2aa3e1fef1db4
2025-11-03T17:05:59.3580723Z  * [new tag]                 trunk/24e94e021a5a96bf16397ea66243070a7be4aaef -> trunk/24e94e021a5a96bf16397ea66243070a7be4aaef
2025-11-03T17:05:59.3582309Z  * [new tag]                 trunk/26534e9809eb2f7cd804fde5152cdd13dda2293f -> trunk/26534e9809eb2f7cd804fde5152cdd13dda2293f
2025-11-03T17:05:59.3583726Z  * [new tag]                 trunk/267d0197bfca0232488d51dd1ff735d619adc2cf -> trunk/267d0197bfca0232488d51dd1ff735d619adc2cf
2025-11-03T17:05:59.3585175Z  * [new tag]                 trunk/2699f5410b6802277db724f145c281814d6c9ac4 -> trunk/2699f5410b6802277db724f145c281814d6c9ac4
2025-11-03T17:05:59.3586654Z  * [new tag]                 trunk/2829d48bd113043a98e81b4ab7fa0f3ca9ae0072 -> trunk/2829d48bd113043a98e81b4ab7fa0f3ca9ae0072
2025-11-03T17:05:59.3588174Z  * [new tag]                 trunk/284716a691580cf0508a7c5a4f9f7306a32092ad -> trunk/284716a691580cf0508a7c5a4f9f7306a32092ad
2025-11-03T17:05:59.3589320Z  * [new tag]                 trunk/298666631baa6634666ac4dd4599f1d52bafa718 -> trunk/298666631baa6634666ac4dd4599f1d52bafa718
2025-11-03T17:05:59.3591019Z  * [new tag]                 trunk/2a058bfecf4f4a47927b4eaae9324c4999a8a794 -> trunk/2a058bfecf4f4a47927b4eaae9324c4999a8a794
2025-11-03T17:05:59.3592578Z  * [new tag]                 trunk/2a5f87decf34b3d0ea7670238e2fd4620ed19e9f -> trunk/2a5f87decf34b3d0ea7670238e2fd4620ed19e9f
2025-11-03T17:05:59.3593750Z  * [new tag]                 trunk/2c9f877fa71c90a1313deeda4b4486d37e72a8a9 -> trunk/2c9f877fa71c90a1313deeda4b4486d37e72a8a9
2025-11-03T17:05:59.3595290Z  * [new tag]                 trunk/2ce894bb1d3e9698306b87091c900a72acac75ea -> trunk/2ce894bb1d3e9698306b87091c900a72acac75ea
2025-11-03T17:05:59.3596719Z  * [new tag]                 trunk/2dc56456cbb2645c37c3176b7d9a263933bdec27 -> trunk/2dc56456cbb2645c37c3176b7d9a263933bdec27
2025-11-03T17:05:59.3598175Z  * [new tag]                 trunk/2de4cf2102fdc35da00cc8070fdbcaf57198a576 -> trunk/2de4cf2102fdc35da00cc8070fdbcaf57198a576
2025-11-03T17:05:59.3599644Z  * [new tag]                 trunk/2df2c316e2929519a5bad029936e9e37ed637b12 -> trunk/2df2c316e2929519a5bad029936e9e37ed637b12
2025-11-03T17:05:59.3601192Z  * [new tag]                 trunk/30157d30f0e0db6a4fa7a2a3ea75e515645e36de -> trunk/30157d30f0e0db6a4fa7a2a3ea75e515645e36de
2025-11-03T17:05:59.3602718Z  * [new tag]                 trunk/3041ede082d3b0f33bec0cef5062eabc5173b446 -> trunk/3041ede082d3b0f33bec0cef5062eabc5173b446
2025-11-03T17:05:59.3604212Z  * [new tag]                 trunk/311ea0dec0c50f395e6dac7b3875e81ee243fceb -> trunk/311ea0dec0c50f395e6dac7b3875e81ee243fceb
2025-11-03T17:05:59.3606129Z  * [new tag]                 trunk/31e42eb732d32e71c9954d6b2104cf1d129370d5 -> trunk/31e42eb732d32e71c9954d6b2104cf1d129370d5
2025-11-03T17:05:59.3607636Z  * [new tag]                 trunk/32066772b3dee643b1657b8957f32b5ac8b1390a -> trunk/32066772b3dee643b1657b8957f32b5ac8b1390a
2025-11-03T17:05:59.3609112Z  * [new tag]                 trunk/32920926f07e573083ecf81a40c898f47f4df631 -> trunk/32920926f07e573083ecf81a40c898f47f4df631
2025-11-03T17:05:59.3610663Z  * [new tag]                 trunk/32fe4f681e2bfb2fdecf20027e29e1aeb6ad5297 -> trunk/32fe4f681e2bfb2fdecf20027e29e1aeb6ad5297
2025-11-03T17:05:59.3612129Z  * [new tag]                 trunk/335b5c7d4bf3295d517902370142f007ca024cd0 -> trunk/335b5c7d4bf3295d517902370142f007ca024cd0
2025-11-03T17:05:59.3613853Z  * [new tag]                 trunk/34d6ef7022be252ce18a9673f75eed1732dff22a -> trunk/34d6ef7022be252ce18a9673f75eed1732dff22a
2025-11-03T17:05:59.3615389Z  * [new tag]                 trunk/35f3572fa483a8edb101d5765564e1ae274f3d45 -> trunk/35f3572fa483a8edb101d5765564e1ae274f3d45
2025-11-03T17:05:59.3616860Z  * [new tag]                 trunk/365ed62f61dde7fc14dca2199692555e5d1abbe1 -> trunk/365ed62f61dde7fc14dca2199692555e5d1abbe1
2025-11-03T17:05:59.3618136Z  * [new tag]                 trunk/369f2d6951d4c12571eb03b95d74ef2f21296847 -> trunk/369f2d6951d4c12571eb03b95d74ef2f21296847
2025-11-03T17:05:59.3619804Z  * [new tag]                 trunk/36a48e7e6d2d01cd47f002140589a1ac2580ef3f -> trunk/36a48e7e6d2d01cd47f002140589a1ac2580ef3f
2025-11-03T17:05:59.3621224Z  * [new tag]                 trunk/3895ce093f3e71b768d032a28a949a9f390c0d00 -> trunk/3895ce093f3e71b768d032a28a949a9f390c0d00
2025-11-03T17:05:59.3622535Z  * [new tag]                 trunk/392acee68a5ca90279109df023583edaef73d50f -> trunk/392acee68a5ca90279109df023583edaef73d50f
2025-11-03T17:05:59.3624199Z  * [new tag]                 trunk/398775a43e9808205f75c81d36f5087117d3f3f4 -> trunk/398775a43e9808205f75c81d36f5087117d3f3f4
2025-11-03T17:05:59.3625893Z  * [new tag]                 trunk/398fdd32bbf7b5f8a2b67e637c8a2e46572d9f28 -> trunk/398fdd32bbf7b5f8a2b67e637c8a2e46572d9f28
2025-11-03T17:05:59.3627493Z  * [new tag]                 trunk/39e5cdddf7e57881c52473d1288a66f0222527e1 -> trunk/39e5cdddf7e57881c52473d1288a66f0222527e1
2025-11-03T17:05:59.3628916Z  * [new tag]                 trunk/3b4315940d371385674f957f810cb0f1ca0060bd -> trunk/3b4315940d371385674f957f810cb0f1ca0060bd
2025-11-03T17:05:59.3630431Z  * [new tag]                 trunk/3b5d38a3bc55c32232cee8cf87e492c965f276fd -> trunk/3b5d38a3bc55c32232cee8cf87e492c965f276fd
2025-11-03T17:05:59.3632182Z  * [new tag]                 trunk/3ca216ae172e35adde34a319a1a01faaf218e7c5 -> trunk/3ca216ae172e35adde34a319a1a01faaf218e7c5
2025-11-03T17:05:59.3633347Z  * [new tag]                 trunk/3cc5949dc2c6e588d42cff36121819a8539902a7 -> trunk/3cc5949dc2c6e588d42cff36121819a8539902a7
2025-11-03T17:05:59.3634987Z  * [new tag]                 trunk/3d4a2d8a93ad57e9fd1c4e5a03dd431dd0123bb3 -> trunk/3d4a2d8a93ad57e9fd1c4e5a03dd431dd0123bb3
2025-11-03T17:05:59.3636410Z  * [new tag]                 trunk/3d4ca228beb851e2f1cc24d8300804d5884973c1 -> trunk/3d4ca228beb851e2f1cc24d8300804d5884973c1
2025-11-03T17:05:59.3637916Z  * [new tag]                 trunk/3dc92d69ed40fd952244e54bbda0240928756654 -> trunk/3dc92d69ed40fd952244e54bbda0240928756654
2025-11-03T17:05:59.3639350Z  * [new tag]                 trunk/3eddf049221fc04c2ac9d4af53c00305484ef325 -> trunk/3eddf049221fc04c2ac9d4af53c00305484ef325
2025-11-03T17:05:59.3640835Z  * [new tag]                 trunk/3f1824742cac2ffb9a3afd90953c492c6c7f2f50 -> trunk/3f1824742cac2ffb9a3afd90953c492c6c7f2f50
2025-11-03T17:05:59.3641959Z  * [new tag]                 trunk/3f5401020b3fd66238a5eda31576b898d086e14e -> trunk/3f5401020b3fd66238a5eda31576b898d086e14e
2025-11-03T17:05:59.3643639Z  * [new tag]                 trunk/3f6538febd727b782e6e13cfd026a309fb14351d -> trunk/3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T17:05:59.3645098Z  * [new tag]                 trunk/3f69b4d9b46b1de627896c457bce1937e53d82e5 -> trunk/3f69b4d9b46b1de627896c457bce1937e53d82e5
2025-11-03T17:05:59.3646561Z  * [new tag]                 trunk/401c2f965726fda8f78b08f3745e11008b38e7bf -> trunk/401c2f965726fda8f78b08f3745e11008b38e7bf
2025-11-03T17:05:59.3647697Z  * [new tag]                 trunk/4295a9a1587cc62a3ef4ad9b1e552c78471d5664 -> trunk/4295a9a1587cc62a3ef4ad9b1e552c78471d5664
2025-11-03T17:05:59.3649446Z  * [new tag]                 trunk/4316df857c9e7f301142eb54d06a85a43f8d617b -> trunk/4316df857c9e7f301142eb54d06a85a43f8d617b
2025-11-03T17:05:59.3650953Z  * [new tag]                 trunk/43c30f607eeca0d3e9a26911d9c2131fc250eadd -> trunk/43c30f607eeca0d3e9a26911d9c2131fc250eadd
2025-11-03T17:05:59.3652485Z  * [new tag]                 trunk/45c3f02d69b0a8447381fbc3f3f8731ab0d48ed1 -> trunk/45c3f02d69b0a8447381fbc3f3f8731ab0d48ed1
2025-11-03T17:05:59.3654028Z  * [new tag]                 trunk/467c21ad9ae4133c20a3c098a0355e9ac20d48aa -> trunk/467c21ad9ae4133c20a3c098a0355e9ac20d48aa
2025-11-03T17:05:59.3655539Z  * [new tag]                 trunk/46d17e887150c5de8a74314b6d9fcba1feca259b -> trunk/46d17e887150c5de8a74314b6d9fcba1feca259b
2025-11-03T17:05:59.3657205Z  * [new tag]                 trunk/476b149a00cf52ceba2b2d8b6e14989d2bf540e2 -> trunk/476b149a00cf52ceba2b2d8b6e14989d2bf540e2
2025-11-03T17:05:59.3658363Z  * [new tag]                 trunk/47ec1e9990b89bf9705dc463cad587bd357bc848 -> trunk/47ec1e9990b89bf9705dc463cad587bd357bc848
2025-11-03T17:05:59.3659993Z  * [new tag]                 trunk/47f00243106918eec3ef9119272977fdf2864ad8 -> trunk/47f00243106918eec3ef9119272977fdf2864ad8
2025-11-03T17:05:59.3661478Z  * [new tag]                 trunk/47f50cfd456313d8b46fcc7a1f6de477aa0a5aee -> trunk/47f50cfd456313d8b46fcc7a1f6de477aa0a5aee
2025-11-03T17:05:59.3662530Z  * [new tag]                 trunk/483845a9c42267a6a139b7382e5ee340502376f8 -> trunk/483845a9c42267a6a139b7382e5ee340502376f8
2025-11-03T17:05:59.3664241Z  * [new tag]                 trunk/48c3b71ecc245cb422ec9ab4c7a2078f7ef0b3df -> trunk/48c3b71ecc245cb422ec9ab4c7a2078f7ef0b3df
2025-11-03T17:05:59.3665972Z  * [new tag]                 trunk/48e672d14994c912caccba0c7f2f5df54c0d86b3 -> trunk/48e672d14994c912caccba0c7f2f5df54c0d86b3
2025-11-03T17:05:59.3667455Z  * [new tag]                 trunk/4a7bc1d522bed4f3f792b4641372ec3d06b79b5d -> trunk/4a7bc1d522bed4f3f792b4641372ec3d06b79b5d
2025-11-03T17:05:59.3668917Z  * [new tag]                 trunk/4a7fefd7c783913b811f49e5d6242086758dca6c -> trunk/4a7fefd7c783913b811f49e5d6242086758dca6c
2025-11-03T17:05:59.3670525Z  * [new tag]                 trunk/4a94591321a62b31658f9259680de87e4be9e50d -> trunk/4a94591321a62b31658f9259680de87e4be9e50d
2025-11-03T17:05:59.3672095Z  * [new tag]                 trunk/4acc66f1192ab7743abcc50383aefc5447447f9d -> trunk/4acc66f1192ab7743abcc50383aefc5447447f9d
2025-11-03T17:05:59.3673532Z  * [new tag]                 trunk/4c38887346b6a6185bb3e170621dc13d5f34e9ce -> trunk/4c38887346b6a6185bb3e170621dc13d5f34e9ce
2025-11-03T17:05:59.3675185Z  * [new tag]                 trunk/4cc64d62346edb2e13320f20740f41ba41f64c70 -> trunk/4cc64d62346edb2e13320f20740f41ba41f64c70
2025-11-03T17:05:59.3676548Z  * [new tag]                 trunk/4e6afa8c07b73e0b339e3baacbc73102748e61dd -> trunk/4e6afa8c07b73e0b339e3baacbc73102748e61dd
2025-11-03T17:05:59.3678059Z  * [new tag]                 trunk/4e7232c5daf753e04e8f4189229e3c33888a33e5 -> trunk/4e7232c5daf753e04e8f4189229e3c33888a33e5
2025-11-03T17:05:59.3679661Z  * [new tag]                 trunk/4e8ba37ce3320cac033019131b817b4aca29699b -> trunk/4e8ba37ce3320cac033019131b817b4aca29699b
2025-11-03T17:05:59.3681194Z  * [new tag]                 trunk/4fada51ada8b3190971f2f47d97346057320866a -> trunk/4fada51ada8b3190971f2f47d97346057320866a
2025-11-03T17:05:59.3682685Z  * [new tag]                 trunk/5016e7b2eb73589e35c7a8f0f0ea3bfba221f17d -> trunk/5016e7b2eb73589e35c7a8f0f0ea3bfba221f17d
2025-11-03T17:05:59.3684149Z  * [new tag]                 trunk/51667435f50c025ca3655ff0eeb917b4ef0ffb78 -> trunk/51667435f50c025ca3655ff0eeb917b4ef0ffb78
2025-11-03T17:05:59.3685615Z  * [new tag]                 trunk/52db60170dd192afa48233f03574a8d8bcd39d35 -> trunk/52db60170dd192afa48233f03574a8d8bcd39d35
2025-11-03T17:05:59.3687191Z  * [new tag]                 trunk/544b443ea1d1a9b19e65f981168a01cb87a2d333 -> trunk/544b443ea1d1a9b19e65f981168a01cb87a2d333
2025-11-03T17:05:59.3688652Z  * [new tag]                 trunk/551921d484d209e9a95d77262b1472bc1d18422d -> trunk/551921d484d209e9a95d77262b1472bc1d18422d
2025-11-03T17:05:59.3690173Z  * [new tag]                 trunk/56838bad5f197d32c0ee77ce2eaa7a0cb462af68 -> trunk/56838bad5f197d32c0ee77ce2eaa7a0cb462af68
2025-11-03T17:05:59.3691666Z  * [new tag]                 trunk/56a809aa0765ec2edea57ab37f92b1e78a214dcc -> trunk/56a809aa0765ec2edea57ab37f92b1e78a214dcc
2025-11-03T17:05:59.3693222Z  * [new tag]                 trunk/56afad4eb300be2008d8b24581bcddcd62021036 -> trunk/56afad4eb300be2008d8b24581bcddcd62021036
2025-11-03T17:05:59.3694720Z  * [new tag]                 trunk/572cc12b42f6edf76affd45ea9a23f4c8db5c7e1 -> trunk/572cc12b42f6edf76affd45ea9a23f4c8db5c7e1
2025-11-03T17:05:59.3696223Z  * [new tag]                 trunk/5849eea129b47556630aac4276529afe287b91e1 -> trunk/5849eea129b47556630aac4276529afe287b91e1
2025-11-03T17:05:59.3697928Z  * [new tag]                 trunk/59ddfb69a731970bf5762fbea43ff2987425d3ea -> trunk/59ddfb69a731970bf5762fbea43ff2987425d3ea
2025-11-03T17:05:59.3699429Z  * [new tag]                 trunk/5a3930abbc19eac9a179455df82e206e69765ed2 -> trunk/5a3930abbc19eac9a179455df82e206e69765ed2
2025-11-03T17:05:59.3700936Z  * [new tag]                 trunk/5bcfdae71da2f405a89bace6b09d616107cc3965 -> trunk/5bcfdae71da2f405a89bace6b09d616107cc3965
2025-11-03T17:05:59.3702879Z  * [new tag]                 trunk/5cbdade914d6bc9f67827ef917974980a74e9372 -> trunk/5cbdade914d6bc9f67827ef917974980a74e9372
2025-11-03T17:05:59.3704382Z  * [new tag]                 trunk/5cdbcb52334222d1a2667dabd6da993d1e9ddc93 -> trunk/5cdbcb52334222d1a2667dabd6da993d1e9ddc93
2025-11-03T17:05:59.3706087Z  * [new tag]                 trunk/5d0b3e28dc18fac3c09edb24078998371f878f82 -> trunk/5d0b3e28dc18fac3c09edb24078998371f878f82
2025-11-03T17:05:59.3707587Z  * [new tag]                 trunk/5d288bc3f73873887f681e15af83c5525e6a60bd -> trunk/5d288bc3f73873887f681e15af83c5525e6a60bd
2025-11-03T17:05:59.3709017Z  * [new tag]                 trunk/5d6230779d920e9c449c22d22fd0f69fe7b73632 -> trunk/5d6230779d920e9c449c22d22fd0f69fe7b73632
2025-11-03T17:05:59.3710628Z  * [new tag]                 trunk/5e05a0ae99c320bc570a3a42c5fcd6bbf2b2e9b4 -> trunk/5e05a0ae99c320bc570a3a42c5fcd6bbf2b2e9b4
2025-11-03T17:05:59.3712328Z  * [new tag]                 trunk/5e7272b60a5d7203fd1d048ecac6f202526cac63 -> trunk/5e7272b60a5d7203fd1d048ecac6f202526cac63
2025-11-03T17:05:59.3713365Z  * [new tag]                 trunk/5e769ff86780a7ffd561615dbf4b0defe80cfbb9 -> trunk/5e769ff86780a7ffd561615dbf4b0defe80cfbb9
2025-11-03T17:05:59.3715097Z  * [new tag]                 trunk/5ebf74a655b3335fb079ee03f41228a77bcc630e -> trunk/5ebf74a655b3335fb079ee03f41228a77bcc630e
2025-11-03T17:05:59.3716671Z  * [new tag]                 trunk/5fc2c7a2a11444c31338da9134452810f3ca8acd -> trunk/5fc2c7a2a11444c31338da9134452810f3ca8acd
2025-11-03T17:05:59.3718226Z  * [new tag]                 trunk/5fd1d41e62ce4436c2bb08c7f4702df0021e2c62 -> trunk/5fd1d41e62ce4436c2bb08c7f4702df0021e2c62
2025-11-03T17:05:59.3719750Z  * [new tag]                 trunk/60333de85dec845d6a0e651764c16a730a27828d -> trunk/60333de85dec845d6a0e651764c16a730a27828d
2025-11-03T17:05:59.3721314Z  * [new tag]                 trunk/6096c0fc746dc99189510a1845fd45c667178c03 -> trunk/6096c0fc746dc99189510a1845fd45c667178c03
2025-11-03T17:05:59.3722924Z  * [new tag]                 trunk/60bcb4ee8844e7bac7278ff662c7d5735a326758 -> trunk/60bcb4ee8844e7bac7278ff662c7d5735a326758
2025-11-03T17:05:59.3724528Z  * [new tag]                 trunk/610c09f8f47585e811945e48abc895f88e09bda3 -> trunk/610c09f8f47585e811945e48abc895f88e09bda3
2025-11-03T17:05:59.3726048Z  * [new tag]                 trunk/61bad3c1ea718311d7c256b05614d207d73276e8 -> trunk/61bad3c1ea718311d7c256b05614d207d73276e8
2025-11-03T17:05:59.3727620Z  * [new tag]                 trunk/61bcc8d75ad065a40b2d7953046616d5979233b9 -> trunk/61bcc8d75ad065a40b2d7953046616d5979233b9
2025-11-03T17:05:59.3729463Z  * [new tag]                 trunk/6268883f9c081b88b611ef01be3821503ad180ca -> trunk/6268883f9c081b88b611ef01be3821503ad180ca
2025-11-03T17:05:59.3731025Z  * [new tag]                 trunk/629293f568229adaf60cdaf57fe69306d7782c2d -> trunk/629293f568229adaf60cdaf57fe69306d7782c2d
2025-11-03T17:05:59.3732909Z  * [new tag]                 trunk/639a0b12395e72a8a220dc8443317f4ab3b3f1a0 -> trunk/639a0b12395e72a8a220dc8443317f4ab3b3f1a0
2025-11-03T17:05:59.3734556Z  * [new tag]                 trunk/6530bc70fbc7d600ab0e600c02ecd9b341ce8237 -> trunk/6530bc70fbc7d600ab0e600c02ecd9b341ce8237
2025-11-03T17:05:59.3736084Z  * [new tag]                 trunk/657f8c3e21bd8901dd8ce79ca9a54a45b27f604f -> trunk/657f8c3e21bd8901dd8ce79ca9a54a45b27f604f
2025-11-03T17:05:59.3737709Z  * [new tag]                 trunk/65868156c613521e9635eb3f8eb3f404826ac1f9 -> trunk/65868156c613521e9635eb3f8eb3f404826ac1f9
2025-11-03T17:05:59.3739110Z  * [new tag]                 trunk/687c15c0b3f01118536413d21efcd052838fa10d -> trunk/687c15c0b3f01118536413d21efcd052838fa10d
2025-11-03T17:05:59.3740534Z  * [new tag]                 trunk/68b3984b77a19ed2b2afcbcae201e8b06e20f8bc -> trunk/68b3984b77a19ed2b2afcbcae201e8b06e20f8bc
2025-11-03T17:05:59.3742175Z  * [new tag]                 trunk/694d205143b03cb26626cb86ecb399df6d5e3dd8 -> trunk/694d205143b03cb26626cb86ecb399df6d5e3dd8
2025-11-03T17:05:59.3743692Z  * [new tag]                 trunk/694db5f54927697c9e914d35029f7e5bd9b85b96 -> trunk/694db5f54927697c9e914d35029f7e5bd9b85b96
2025-11-03T17:05:59.3745289Z  * [new tag]                 trunk/695cb0d342f67db563fb57ce1a5f3261b073b790 -> trunk/695cb0d342f67db563fb57ce1a5f3261b073b790
2025-11-03T17:05:59.3746830Z  * [new tag]                 trunk/69be99ee51bd0439fead4c83d1ed3eea9e1e073e -> trunk/69be99ee51bd0439fead4c83d1ed3eea9e1e073e
2025-11-03T17:05:59.3748355Z  * [new tag]                 trunk/69fb3ebb5dbec0bd4cfd73cc9a6c870b7f604840 -> trunk/69fb3ebb5dbec0bd4cfd73cc9a6c870b7f604840
2025-11-03T17:05:59.3749854Z  * [new tag]                 trunk/6a5a436624d08feff1de191e61eb4d4773f73bdb -> trunk/6a5a436624d08feff1de191e61eb4d4773f73bdb
2025-11-03T17:05:59.3751455Z  * [new tag]                 trunk/6c7cad697287dff7e47545ae4b1df1e407185868 -> trunk/6c7cad697287dff7e47545ae4b1df1e407185868
2025-11-03T17:05:59.3752949Z  * [new tag]                 trunk/6d5e651a5024acdbaf9633d9d1d9dc33c6a283c5 -> trunk/6d5e651a5024acdbaf9633d9d1d9dc33c6a283c5
2025-11-03T17:05:59.3754514Z  * [new tag]                 trunk/6ecd6b23b6d2ab17da269ceebe9f944153f67083 -> trunk/6ecd6b23b6d2ab17da269ceebe9f944153f67083
2025-11-03T17:05:59.3755657Z  * [new tag]                 trunk/7045aab143b6d89c2e7de11bc8cbf919d8fd78d0 -> trunk/7045aab143b6d89c2e7de11bc8cbf919d8fd78d0
2025-11-03T17:05:59.3757430Z  * [new tag]                 trunk/70aeb491987401a380914a72c1b9d19e4c882429 -> trunk/70aeb491987401a380914a72c1b9d19e4c882429
2025-11-03T17:05:59.3758541Z  * [new tag]                 trunk/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a -> trunk/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a
2025-11-03T17:05:59.3760193Z  * [new tag]                 trunk/73da7a40b6dd0509b179f0ca92d9fa79973ee306 -> trunk/73da7a40b6dd0509b179f0ca92d9fa79973ee306
2025-11-03T17:05:59.3761744Z  * [new tag]                 trunk/74336f8c77f1a906314c274e43239306c8077e90 -> trunk/74336f8c77f1a906314c274e43239306c8077e90
2025-11-03T17:05:59.3763269Z  * [new tag]                 trunk/748162223768fb9f7daaca1f7f93d0bc37be4de9 -> trunk/748162223768fb9f7daaca1f7f93d0bc37be4de9
2025-11-03T17:05:59.3764845Z  * [new tag]                 trunk/753d9bd8063356c0e31517ef9aabd814efd754c5 -> trunk/753d9bd8063356c0e31517ef9aabd814efd754c5
2025-11-03T17:05:59.3766484Z  * [new tag]                 trunk/7563f61cc8a40a5ba21a498a2d98895b4eec3f39 -> trunk/7563f61cc8a40a5ba21a498a2d98895b4eec3f39
2025-11-03T17:05:59.3768008Z  * [new tag]                 trunk/75f798e05b35cbdf1814673e745b9b7817bb29cd -> trunk/75f798e05b35cbdf1814673e745b9b7817bb29cd
2025-11-03T17:05:59.3769682Z  * [new tag]                 trunk/764c54ecaeb8b0da486b009f4d4ef1fa280e2517 -> trunk/764c54ecaeb8b0da486b009f4d4ef1fa280e2517
2025-11-03T17:05:59.3770864Z  * [new tag]                 trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1 -> trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1
2025-11-03T17:05:59.3772519Z  * [new tag]                 trunk/7692fa09cdd47fdbec66efca9edf42a318e6c6e4 -> trunk/7692fa09cdd47fdbec66efca9edf42a318e6c6e4
2025-11-03T17:05:59.3774235Z  * [new tag]                 trunk/76b2c37045e52540ec51e967aa7b6436a6b9b174 -> trunk/76b2c37045e52540ec51e967aa7b6436a6b9b174
2025-11-03T17:05:59.3775719Z  * [new tag]                 trunk/76bb27e248750fc558ec4ea9050e09a6f171e9bc -> trunk/76bb27e248750fc558ec4ea9050e09a6f171e9bc
2025-11-03T17:05:59.3777257Z  * [new tag]                 trunk/774abb018eb1d44c07fda9fa78549755ac7d4367 -> trunk/774abb018eb1d44c07fda9fa78549755ac7d4367
2025-11-03T17:05:59.3778750Z  * [new tag]                 trunk/791ca80d3a2ca72a77b5dedc75bbcbb35b859cfc -> trunk/791ca80d3a2ca72a77b5dedc75bbcbb35b859cfc
2025-11-03T17:05:59.3780331Z  * [new tag]                 trunk/797cd80b2670a51601f997f8c67387bd30440a36 -> trunk/797cd80b2670a51601f997f8c67387bd30440a36
2025-11-03T17:05:59.3781849Z  * [new tag]                 trunk/79aa88cc5dcc55597013cbe36f0e00557b185803 -> trunk/79aa88cc5dcc55597013cbe36f0e00557b185803
2025-11-03T17:05:59.3782987Z  * [new tag]                 trunk/79aee77381b21d41c77148e5ff84c4b351aaf144 -> trunk/79aee77381b21d41c77148e5ff84c4b351aaf144
2025-11-03T17:05:59.3784788Z  * [new tag]                 trunk/7a0cd8ed092a62123fcc1f4c40de2669f46fe2b1 -> trunk/7a0cd8ed092a62123fcc1f4c40de2669f46fe2b1
2025-11-03T17:05:59.3786313Z  * [new tag]                 trunk/7ae8aaf4c02e7cc14b2e3cce0c88a7333dff439c -> trunk/7ae8aaf4c02e7cc14b2e3cce0c88a7333dff439c
2025-11-03T17:05:59.3787795Z  * [new tag]                 trunk/7c203b8420d26bd707c6052f93a4ba77dca2b2c0 -> trunk/7c203b8420d26bd707c6052f93a4ba77dca2b2c0
2025-11-03T17:05:59.3789329Z  * [new tag]                 trunk/7ce723d21cc2a1a874f988f3459f0da834c75daa -> trunk/7ce723d21cc2a1a874f988f3459f0da834c75daa
2025-11-03T17:05:59.3790886Z  * [new tag]                 trunk/7d16fcf2df9b240895056107a015735774cbe4b5 -> trunk/7d16fcf2df9b240895056107a015735774cbe4b5
2025-11-03T17:05:59.3792432Z  * [new tag]                 trunk/7d39401fa07eb2f7782d8f234aa19f8b2abff481 -> trunk/7d39401fa07eb2f7782d8f234aa19f8b2abff481
2025-11-03T17:05:59.3794262Z  * [new tag]                 trunk/7d67a41db4801632d5862e99c79b766284dfd307 -> trunk/7d67a41db4801632d5862e99c79b766284dfd307
2025-11-03T17:05:59.3795718Z  * [new tag]                 trunk/7e3b9d105e3359e31fb252becb01d789a72dc8d9 -> trunk/7e3b9d105e3359e31fb252becb01d789a72dc8d9
2025-11-03T17:05:59.3797227Z  * [new tag]                 trunk/7f7a28046b5927ddbd8ef95d00aa1ca76f773bb1 -> trunk/7f7a28046b5927ddbd8ef95d00aa1ca76f773bb1
2025-11-03T17:05:59.3798919Z  * [new tag]                 trunk/80ba6e458ff2bd178da9ed62e27a61fe46e4252a -> trunk/80ba6e458ff2bd178da9ed62e27a61fe46e4252a
2025-11-03T17:05:59.3800474Z  * [new tag]                 trunk/8101fd46d4619d0f9ef69e5829d1ee6f77289b72 -> trunk/8101fd46d4619d0f9ef69e5829d1ee6f77289b72
2025-11-03T17:05:59.3802381Z  * [new tag]                 trunk/8110ce02a2830f562ed60607e30e2f29aed119dd -> trunk/8110ce02a2830f562ed60607e30e2f29aed119dd
2025-11-03T17:05:59.3803962Z  * [new tag]                 trunk/81fa4a204cf268bc55e96137fa803ae4938472cd -> trunk/81fa4a204cf268bc55e96137fa803ae4938472cd
2025-11-03T17:05:59.3805561Z  * [new tag]                 trunk/8209a0506b399b40a48716126ee22737aa4607c5 -> trunk/8209a0506b399b40a48716126ee22737aa4607c5
2025-11-03T17:05:59.3807086Z  * [new tag]                 trunk/8221ee6db9fd319c249087ad9bb9abaa7d56e113 -> trunk/8221ee6db9fd319c249087ad9bb9abaa7d56e113
2025-11-03T17:05:59.3808644Z  * [new tag]                 trunk/82d86bacf3c34760d6ab8a8a1eafa22d0ea259d9 -> trunk/82d86bacf3c34760d6ab8a8a1eafa22d0ea259d9
2025-11-03T17:05:59.3810216Z  * [new tag]                 trunk/82fafb3304f8baffdb2d54578926d8bb4aba621c -> trunk/82fafb3304f8baffdb2d54578926d8bb4aba621c
2025-11-03T17:05:59.3811702Z  * [new tag]                 trunk/82ff07c7884d478ddd5d638bebbb938e55c9bebf -> trunk/82ff07c7884d478ddd5d638bebbb938e55c9bebf
2025-11-03T17:05:59.3813491Z  * [new tag]                 trunk/83cc38d9c1b4371d4395bda8b6861b98986f527b -> trunk/83cc38d9c1b4371d4395bda8b6861b98986f527b
2025-11-03T17:05:59.3814850Z  * [new tag]                 trunk/840d63c12d255dac1ae3c5e442c6ea6eb87a7256 -> trunk/840d63c12d255dac1ae3c5e442c6ea6eb87a7256
2025-11-03T17:05:59.3816484Z  * [new tag]                 trunk/8417981c96b7577f0228226ccf76d23842173144 -> trunk/8417981c96b7577f0228226ccf76d23842173144
2025-11-03T17:05:59.3817979Z  * [new tag]                 trunk/845da9c8172b0e6e8b1e326359379dc6e9ddbddf -> trunk/845da9c8172b0e6e8b1e326359379dc6e9ddbddf
2025-11-03T17:05:59.3819516Z  * [new tag]                 trunk/84776e13744db6d59b41a063bb8714e2bffe7a06 -> trunk/84776e13744db6d59b41a063bb8714e2bffe7a06
2025-11-03T17:05:59.3821071Z  * [new tag]                 trunk/84a2715d341f068a26a281a252c3907bbe827d9b -> trunk/84a2715d341f068a26a281a252c3907bbe827d9b
2025-11-03T17:05:59.3822599Z  * [new tag]                 trunk/84fe84850383fc11e7150681742bf53f11cd425e -> trunk/84fe84850383fc11e7150681742bf53f11cd425e
2025-11-03T17:05:59.3824201Z  * [new tag]                 trunk/856a7a529872aa2d222e2491708cb458c682bb93 -> trunk/856a7a529872aa2d222e2491708cb458c682bb93
2025-11-03T17:05:59.3825739Z  * [new tag]                 trunk/85a7c745aa5a2428a7cc640ef4b304296fe07c42 -> trunk/85a7c745aa5a2428a7cc640ef4b304296fe07c42
2025-11-03T17:05:59.3827453Z  * [new tag]                 trunk/85b035ca9c230199d91ff86d362def01ad36dc67 -> trunk/85b035ca9c230199d91ff86d362def01ad36dc67
2025-11-03T17:05:59.3828996Z  * [new tag]                 trunk/85b85f6c2c7e6ca98abf9d9a38410d4b5703d64a -> trunk/85b85f6c2c7e6ca98abf9d9a38410d4b5703d64a
2025-11-03T17:05:59.3830538Z  * [new tag]                 trunk/877f126e353f537417c53bff073fc56d3faecd60 -> trunk/877f126e353f537417c53bff073fc56d3faecd60
2025-11-03T17:05:59.3832197Z  * [new tag]                 trunk/8887a33ede05c3e77286447a8ebd82b458878943 -> trunk/8887a33ede05c3e77286447a8ebd82b458878943
2025-11-03T17:05:59.3836311Z  * [new tag]                 trunk/895795f07cc0348ebe0b7e369d555b545d76eb9f -> trunk/895795f07cc0348ebe0b7e369d555b545d76eb9f
2025-11-03T17:05:59.3837835Z  * [new tag]                 trunk/8aa087a29dcb5eba4cffd6a452e7f327abfd14b2 -> trunk/8aa087a29dcb5eba4cffd6a452e7f327abfd14b2
2025-11-03T17:05:59.3839277Z  * [new tag]                 trunk/8af9ed08243222853cf8ebfc9177c5b1ea364d00 -> trunk/8af9ed08243222853cf8ebfc9177c5b1ea364d00
2025-11-03T17:05:59.3840769Z  * [new tag]                 trunk/8b188647cfdc1355070ccd5aaa18a8060d4f67bf -> trunk/8b188647cfdc1355070ccd5aaa18a8060d4f67bf
2025-11-03T17:05:59.3842315Z  * [new tag]                 trunk/8d4e48831e5abb6cbca8d97a2df6c47b770c303b -> trunk/8d4e48831e5abb6cbca8d97a2df6c47b770c303b
2025-11-03T17:05:59.3843943Z  * [new tag]                 trunk/8d599045cf4102e451a9e8a9ff215d053ebbe0e8 -> trunk/8d599045cf4102e451a9e8a9ff215d053ebbe0e8
2025-11-03T17:05:59.3845479Z  * [new tag]                 trunk/8e1e4ee8e0c43202085b47c9d2b05b2c0d13b368 -> trunk/8e1e4ee8e0c43202085b47c9d2b05b2c0d13b368
2025-11-03T17:05:59.3846961Z  * [new tag]                 trunk/8f40a0c634a65246889b478b7f14da7a448174a9 -> trunk/8f40a0c634a65246889b478b7f14da7a448174a9
2025-11-03T17:05:59.3848581Z  * [new tag]                 trunk/8f51556daa347041fc7ac06a832d2fdc62ca594d -> trunk/8f51556daa347041fc7ac06a832d2fdc62ca594d
2025-11-03T17:05:59.3850094Z  * [new tag]                 trunk/904abfc2ca285910b7b1458779bd9c63619f2f7d -> trunk/904abfc2ca285910b7b1458779bd9c63619f2f7d
2025-11-03T17:05:59.3851658Z  * [new tag]                 trunk/90519402c2006237f891289a0afdec804515aa73 -> trunk/90519402c2006237f891289a0afdec804515aa73
2025-11-03T17:05:59.3853322Z  * [new tag]                 trunk/90b30ebf7ecd7b0da9deeb35b165de9e28e90aff -> trunk/90b30ebf7ecd7b0da9deeb35b165de9e28e90aff
2025-11-03T17:05:59.3854870Z  * [new tag]                 trunk/90d7be35e980a39cb4044f8fefea33a6167e5733 -> trunk/90d7be35e980a39cb4044f8fefea33a6167e5733
2025-11-03T17:05:59.3856367Z  * [new tag]                 trunk/9139368b64ebcc32c8c1190fd114c7f4733e7c6d -> trunk/9139368b64ebcc32c8c1190fd114c7f4733e7c6d
2025-11-03T17:05:59.3857941Z  * [new tag]                 trunk/92381a5aa7c27b740d375dad2ff9ca7be3c1bc24 -> trunk/92381a5aa7c27b740d375dad2ff9ca7be3c1bc24
2025-11-03T17:05:59.3859540Z  * [new tag]                 trunk/924482a6f63305b0f00760170ad513305700b79c -> trunk/924482a6f63305b0f00760170ad513305700b79c
2025-11-03T17:05:59.3861052Z  * [new tag]                 trunk/9261a1fb128412201ef009d30844a2417364d73b -> trunk/9261a1fb128412201ef009d30844a2417364d73b
2025-11-03T17:05:59.3862565Z  * [new tag]                 trunk/93a70c717a5636505da0b4ccfbca0e111c88c6a8 -> trunk/93a70c717a5636505da0b4ccfbca0e111c88c6a8
2025-11-03T17:05:59.3864154Z  * [new tag]                 trunk/94eaeb9cb812744251cef11d147e93b00a633823 -> trunk/94eaeb9cb812744251cef11d147e93b00a633823
2025-11-03T17:05:59.3865619Z  * [new tag]                 trunk/94f2657c4b534136aa8958bc35d44ceac5ccd60c -> trunk/94f2657c4b534136aa8958bc35d44ceac5ccd60c
2025-11-03T17:05:59.3867235Z  * [new tag]                 trunk/9501405de686068c5d7d0e4eab21e3ef0b95cc73 -> trunk/9501405de686068c5d7d0e4eab21e3ef0b95cc73
2025-11-03T17:05:59.3868864Z  * [new tag]                 trunk/95b55347730b071d0b79df5ddd477db9c7f91fe4 -> trunk/95b55347730b071d0b79df5ddd477db9c7f91fe4
2025-11-03T17:05:59.3870159Z  * [new tag]                 trunk/96b61844a722d2ae8b1a2dc283a6c0060b40782e -> trunk/96b61844a722d2ae8b1a2dc283a6c0060b40782e
2025-11-03T17:05:59.3871952Z  * [new tag]                 trunk/972030fe2ef0a7500afb7acb86a5f971c30536b9 -> trunk/972030fe2ef0a7500afb7acb86a5f971c30536b9
2025-11-03T17:05:59.3873562Z  * [new tag]                 trunk/984e64b2cddecfe43501a7e01a1cce0c25473f54 -> trunk/984e64b2cddecfe43501a7e01a1cce0c25473f54
2025-11-03T17:05:59.3875060Z  * [new tag]                 trunk/98d640bb113a0b6a39c590bbe36873faeb71ceb0 -> trunk/98d640bb113a0b6a39c590bbe36873faeb71ceb0
2025-11-03T17:05:59.3876628Z  * [new tag]                 trunk/9901d4441862cc0be881f913e1a7f932f7cb0177 -> trunk/9901d4441862cc0be881f913e1a7f932f7cb0177
2025-11-03T17:05:59.3878228Z  * [new tag]                 trunk/9940e894ea9c4374691ec49eba96db0a3159a8ae -> trunk/9940e894ea9c4374691ec49eba96db0a3159a8ae
2025-11-03T17:05:59.3879897Z  * [new tag]                 trunk/9970fb97fff5fb5ab0f0f3acfa73558cc5c1618a -> trunk/9970fb97fff5fb5ab0f0f3acfa73558cc5c1618a
2025-11-03T17:05:59.3881336Z  * [new tag]                 trunk/99b05d1b786dc1f2448c23617bbb80d441a5d64a -> trunk/99b05d1b786dc1f2448c23617bbb80d441a5d64a
2025-11-03T17:05:59.3882838Z  * [new tag]                 trunk/99e07c39ec3e9cf4573da6e6737c3d0362bc6b13 -> trunk/99e07c39ec3e9cf4573da6e6737c3d0362bc6b13
2025-11-03T17:05:59.3884127Z  * [new tag]                 trunk/9a91486e453f300804c7031d0e904b0e2af7d802 -> trunk/9a91486e453f300804c7031d0e904b0e2af7d802
2025-11-03T17:05:59.3885811Z  * [new tag]                 trunk/9c22bbb2dce31b854e3387db77eaff501434f352 -> trunk/9c22bbb2dce31b854e3387db77eaff501434f352
2025-11-03T17:05:59.3887358Z  * [new tag]                 trunk/9d6597b1e9f95f4477e88c5bee473c2850c2e63f -> trunk/9d6597b1e9f95f4477e88c5bee473c2850c2e63f
2025-11-03T17:05:59.3888871Z  * [new tag]                 trunk/9ee1afbf66a6533c712956a3ba5e8f60c5875a74 -> trunk/9ee1afbf66a6533c712956a3ba5e8f60c5875a74
2025-11-03T17:05:59.3890355Z  * [new tag]                 trunk/9f9dbe0a9aa5e5c985f36ad6cc736b3fb3506056 -> trunk/9f9dbe0a9aa5e5c985f36ad6cc736b3fb3506056
2025-11-03T17:05:59.3891951Z  * [new tag]                 trunk/a04edcb27acc6e1dd0fc27233738e6dec718b109 -> trunk/a04edcb27acc6e1dd0fc27233738e6dec718b109
2025-11-03T17:05:59.3893501Z  * [new tag]                 trunk/a076b4d7ac09b7be59915a088b348bcbd952c8bd -> trunk/a076b4d7ac09b7be59915a088b348bcbd952c8bd
2025-11-03T17:05:59.3895037Z  * [new tag]                 trunk/a186aa8d6cc197054deba309605f4b75ca59899c -> trunk/a186aa8d6cc197054deba309605f4b75ca59899c
2025-11-03T17:05:59.3896195Z  * [new tag]                 trunk/a19e92d43355489c8d33325321e688a6e6182267 -> trunk/a19e92d43355489c8d33325321e688a6e6182267
2025-11-03T17:05:59.3897920Z  * [new tag]                 trunk/a1eb6b55387b6ae21cf9bcad76a471a2820fa1b0 -> trunk/a1eb6b55387b6ae21cf9bcad76a471a2820fa1b0
2025-11-03T17:05:59.3899575Z  * [new tag]                 trunk/a25818cf7ee2c0ed5c862dff214dc46a30211671 -> trunk/a25818cf7ee2c0ed5c862dff214dc46a30211671
2025-11-03T17:05:59.3901114Z  * [new tag]                 trunk/a2da69385abb4800732e698afacdddd78e9993aa -> trunk/a2da69385abb4800732e698afacdddd78e9993aa
2025-11-03T17:05:59.3902627Z  * [new tag]                 trunk/a3fe1825aa4d95707875ffa8f15fd00c3b94977d -> trunk/a3fe1825aa4d95707875ffa8f15fd00c3b94977d
2025-11-03T17:05:59.3904495Z  * [new tag]                 trunk/a4077b568f891f8cad948cc70cbb14043791d762 -> trunk/a4077b568f891f8cad948cc70cbb14043791d762
2025-11-03T17:05:59.3905754Z  * [new tag]                 trunk/a4a0378e6bb8afd774e4e253304cf3bf9d7e188a -> trunk/a4a0378e6bb8afd774e4e253304cf3bf9d7e188a
2025-11-03T17:05:59.3907487Z  * [new tag]                 trunk/a51f8772873bc91de8aad1ce865fe8d98a58aec7 -> trunk/a51f8772873bc91de8aad1ce865fe8d98a58aec7
2025-11-03T17:05:59.3908926Z  * [new tag]                 trunk/a5335263d32b5be2b2647661334d81225c3cc3fc -> trunk/a5335263d32b5be2b2647661334d81225c3cc3fc
2025-11-03T17:05:59.3910519Z  * [new tag]                 trunk/a553ea9ea4e71b66a58a1c3c37f18d67ffa4ecd3 -> trunk/a553ea9ea4e71b66a58a1c3c37f18d67ffa4ecd3
2025-11-03T17:05:59.3911955Z  * [new tag]                 trunk/a5c3c08d1099f96548398a637463efb0cbe115ae -> trunk/a5c3c08d1099f96548398a637463efb0cbe115ae
2025-11-03T17:05:59.3913492Z  * [new tag]                 trunk/a5f00077fc9623c762c755c926b7eee60eb0ec3f -> trunk/a5f00077fc9623c762c755c926b7eee60eb0ec3f
2025-11-03T17:05:59.3914960Z  * [new tag]                 trunk/a663eb9c80e92190832b3dd616f138f938f51525 -> trunk/a663eb9c80e92190832b3dd616f138f938f51525
2025-11-03T17:05:59.3916566Z  * [new tag]                 trunk/a6b1ef17173f56ba93ac97ff4384fa4060b5e41e -> trunk/a6b1ef17173f56ba93ac97ff4384fa4060b5e41e
2025-11-03T17:05:59.3918079Z  * [new tag]                 trunk/a76b59cc45a17b728d9da6f937c8a9ab537c657f -> trunk/a76b59cc45a17b728d9da6f937c8a9ab537c657f
2025-11-03T17:05:59.3919701Z  * [new tag]                 trunk/a77f5d9a005a789804fc4d5064036490db5f48fb -> trunk/a77f5d9a005a789804fc4d5064036490db5f48fb
2025-11-03T17:05:59.3921015Z  * [new tag]                 trunk/a7fd0b40018da3c692f74257fc9b1d8cc5c410ff -> trunk/a7fd0b40018da3c692f74257fc9b1d8cc5c410ff
2025-11-03T17:05:59.3922646Z  * [new tag]                 trunk/a988510c3396a668e92801c61b93f7b06219ad0e -> trunk/a988510c3396a668e92801c61b93f7b06219ad0e
2025-11-03T17:05:59.3924238Z  * [new tag]                 trunk/a9b29caeae77480abaee14c89cff19f2c23921a1 -> trunk/a9b29caeae77480abaee14c89cff19f2c23921a1
2025-11-03T17:05:59.3925855Z  * [new tag]                 trunk/aa9c96af041b26c9c55adac490f3449b98f27d06 -> trunk/aa9c96af041b26c9c55adac490f3449b98f27d06
2025-11-03T17:05:59.3927428Z  * [new tag]                 trunk/aab27b051a5e24e71931ef0386f9084d51347211 -> trunk/aab27b051a5e24e71931ef0386f9084d51347211
2025-11-03T17:05:59.3928917Z  * [new tag]                 trunk/ac841267a197e102e1800786b3f6bfcd068b3d85 -> trunk/ac841267a197e102e1800786b3f6bfcd068b3d85
2025-11-03T17:05:59.3930561Z  * [new tag]                 trunk/acd936cc1a53b3c97f1265b6e40e2c09ba0a182d -> trunk/acd936cc1a53b3c97f1265b6e40e2c09ba0a182d
2025-11-03T17:05:59.3932267Z  * [new tag]                 trunk/ad02bd13dfa017f69def846b265a566c4ec5cb3f -> trunk/ad02bd13dfa017f69def846b265a566c4ec5cb3f
2025-11-03T17:05:59.3934095Z  * [new tag]                 trunk/ad3a56ab9857905cdc8f62fb635d578982797c73 -> trunk/ad3a56ab9857905cdc8f62fb635d578982797c73
2025-11-03T17:05:59.3935655Z  * [new tag]                 trunk/ad559072db0cc68aad277380d20bacfdf0d944ac -> trunk/ad559072db0cc68aad277380d20bacfdf0d944ac
2025-11-03T17:05:59.3937132Z  * [new tag]                 trunk/add37bacda45d7de852dedee652346f2857df6fc -> trunk/add37bacda45d7de852dedee652346f2857df6fc
2025-11-03T17:05:59.3938700Z  * [new tag]                 trunk/adedf26e21d1ce835750c99464b3ffa0f6b38fd0 -> trunk/adedf26e21d1ce835750c99464b3ffa0f6b38fd0
2025-11-03T17:05:59.3940219Z  * [new tag]                 trunk/ae038f871b3cb91c36df3a9d4b0ffb4f35d20482 -> trunk/ae038f871b3cb91c36df3a9d4b0ffb4f35d20482
2025-11-03T17:05:59.3941743Z  * [new tag]                 trunk/afaaaa314cc9358a10e9b1986642d49c00773560 -> trunk/afaaaa314cc9358a10e9b1986642d49c00773560
2025-11-03T17:05:59.3943001Z  * [new tag]                 trunk/b060e5c131e9cf43ba6e9b5bda2cb5789c61de47 -> trunk/b060e5c131e9cf43ba6e9b5bda2cb5789c61de47
2025-11-03T17:05:59.3944754Z  * [new tag]                 trunk/b0831930edaa732dd73dc81223fc0a9f5fe6b956 -> trunk/b0831930edaa732dd73dc81223fc0a9f5fe6b956
2025-11-03T17:05:59.3946276Z  * [new tag]                 trunk/b09fb481e0fb00dc475f218e9b14660161b40a94 -> trunk/b09fb481e0fb00dc475f218e9b14660161b40a94
2025-11-03T17:05:59.3947813Z  * [new tag]                 trunk/b2a0f90501dd3a16a6ccaf4c49e1c10f6df4ce1d -> trunk/b2a0f90501dd3a16a6ccaf4c49e1c10f6df4ce1d
2025-11-03T17:05:59.3949321Z  * [new tag]                 trunk/b33762bd2f5f1b115f049d83bf553b08d1ffc97f -> trunk/b33762bd2f5f1b115f049d83bf553b08d1ffc97f
2025-11-03T17:05:59.3950818Z  * [new tag]                 trunk/b3861ac8e70a2334278c17f834880e2d45bbe7a9 -> trunk/b3861ac8e70a2334278c17f834880e2d45bbe7a9
2025-11-03T17:05:59.3952426Z  * [new tag]                 trunk/b4403bfc62ca97eec554cdf815baab1fe93057d9 -> trunk/b4403bfc62ca97eec554cdf815baab1fe93057d9
2025-11-03T17:05:59.3954001Z  * [new tag]                 trunk/b44423bbb43860c1e340cbebc9d101dc18031ecb -> trunk/b44423bbb43860c1e340cbebc9d101dc18031ecb
2025-11-03T17:05:59.3955479Z  * [new tag]                 trunk/b470e59c382649557c49d3c31b8dec1b036eb329 -> trunk/b470e59c382649557c49d3c31b8dec1b036eb329
2025-11-03T17:05:59.3957012Z  * [new tag]                 trunk/b5189e269e899a6ad9ddc4e2ce6f33029290af82 -> trunk/b5189e269e899a6ad9ddc4e2ce6f33029290af82
2025-11-03T17:05:59.3958598Z  * [new tag]                 trunk/b71966f67b2b688f9d71f1602bd3c52d413dacef -> trunk/b71966f67b2b688f9d71f1602bd3c52d413dacef
2025-11-03T17:05:59.3960168Z  * [new tag]                 trunk/b7d348a9074af70f34848298a4e7a7985b197742 -> trunk/b7d348a9074af70f34848298a4e7a7985b197742
2025-11-03T17:05:59.3961822Z  * [new tag]                 trunk/b903018c26217edca67c9023b104027aea377b83 -> trunk/b903018c26217edca67c9023b104027aea377b83
2025-11-03T17:05:59.3963146Z  * [new tag]                 trunk/b939de26d115d33d3cbc17dcf49dbdc1a84e9727 -> trunk/b939de26d115d33d3cbc17dcf49dbdc1a84e9727
2025-11-03T17:05:59.3964815Z  * [new tag]                 trunk/b9bcb37f40e72dc4c2fc1d9281175409fe474194 -> trunk/b9bcb37f40e72dc4c2fc1d9281175409fe474194
2025-11-03T17:05:59.3966305Z  * [new tag]                 trunk/ba71e9ca9ac21e6570b20353d0a67089ad32e442 -> trunk/ba71e9ca9ac21e6570b20353d0a67089ad32e442
2025-11-03T17:05:59.3967865Z  * [new tag]                 trunk/bb54296258854897058e8f158afa8efedc4fcf18 -> trunk/bb54296258854897058e8f158afa8efedc4fcf18
2025-11-03T17:05:59.3969381Z  * [new tag]                 trunk/bbb7d2270b6f647b97f8a9c1d4e69ddaf48ef661 -> trunk/bbb7d2270b6f647b97f8a9c1d4e69ddaf48ef661
2025-11-03T17:05:59.3970728Z  * [new tag]                 trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185 -> trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185
2025-11-03T17:05:59.3972363Z  * [new tag]                 trunk/bc5111cd8dc5167cbcbcb2c0f23e53e61a6e8ea5 -> trunk/bc5111cd8dc5167cbcbcb2c0f23e53e61a6e8ea5
2025-11-03T17:05:59.3973889Z  * [new tag]                 trunk/be283297100ab86123e74b7a8372995d32b140c8 -> trunk/be283297100ab86123e74b7a8372995d32b140c8
2025-11-03T17:05:59.3975599Z  * [new tag]                 trunk/bea89d60603ca33f1903e57db5c734a67535c26d -> trunk/bea89d60603ca33f1903e57db5c734a67535c26d
2025-11-03T17:05:59.3977138Z  * [new tag]                 trunk/bebabd7fce29ea49b9269aeaa9fe3f34a3e1127e -> trunk/bebabd7fce29ea49b9269aeaa9fe3f34a3e1127e
2025-11-03T17:05:59.3984910Z  * [new tag]                 trunk/bfb47ec50e09dc2921ba47fedf84a1e28ee991a7 -> trunk/bfb47ec50e09dc2921ba47fedf84a1e28ee991a7
2025-11-03T17:05:59.3985638Z  * [new tag]                 trunk/bfc2050db975e589795cd3eceaed2e83bf89ad35 -> trunk/bfc2050db975e589795cd3eceaed2e83bf89ad35
2025-11-03T17:05:59.3986058Z  * [new tag]                 trunk/c01636e1bc7338eecbcfd2c17fd3fa2cad836983 -> trunk/c01636e1bc7338eecbcfd2c17fd3fa2cad836983
2025-11-03T17:05:59.3986459Z  * [new tag]                 trunk/c0bbda37e8d74734b64421762eb365e620f258c1 -> trunk/c0bbda37e8d74734b64421762eb365e620f258c1
2025-11-03T17:05:59.3986861Z  * [new tag]                 trunk/c201a1cab1439bfcfaff7e4fdab0d6eeeb880a70 -> trunk/c201a1cab1439bfcfaff7e4fdab0d6eeeb880a70
2025-11-03T17:05:59.3987257Z  * [new tag]                 trunk/c2e3cc7aedb2e7d89443225c7cccd08a0f8a3587 -> trunk/c2e3cc7aedb2e7d89443225c7cccd08a0f8a3587
2025-11-03T17:05:59.3987754Z  * [new tag]                 trunk/c3047938a01c844c752e5462b05d180a04d438fd -> trunk/c3047938a01c844c752e5462b05d180a04d438fd
2025-11-03T17:05:59.3989340Z  * [new tag]                 trunk/c37802a8c4388160faa65f8bc9c29d98b4d2fb3c -> trunk/c37802a8c4388160faa65f8bc9c29d98b4d2fb3c
2025-11-03T17:05:59.3990442Z  * [new tag]                 trunk/c3b71d54995a16fd09c18a5da5d598a23388bbd6 -> trunk/c3b71d54995a16fd09c18a5da5d598a23388bbd6
2025-11-03T17:05:59.3992401Z  * [new tag]                 trunk/c3d205d5986824e72df353c9bf112dc9b2a3612a -> trunk/c3d205d5986824e72df353c9bf112dc9b2a3612a
2025-11-03T17:05:59.3993405Z  * [new tag]                 trunk/c3dc0c7089f3204c36961acc227a3ff503530094 -> trunk/c3dc0c7089f3204c36961acc227a3ff503530094
2025-11-03T17:05:59.3995149Z  * [new tag]                 trunk/c54e2c5b4138cb85412a74189d1f7f771ad1116e -> trunk/c54e2c5b4138cb85412a74189d1f7f771ad1116e
2025-11-03T17:05:59.3996302Z  * [new tag]                 trunk/c5701d0ab5f55b23243dd437f57e856970c45bb6 -> trunk/c5701d0ab5f55b23243dd437f57e856970c45bb6
2025-11-03T17:05:59.3998276Z  * [new tag]                 trunk/c58d0ad85dfbf026d5f21ee739c139407dc20e54 -> trunk/c58d0ad85dfbf026d5f21ee739c139407dc20e54
2025-11-03T17:05:59.3999875Z  * [new tag]                 trunk/c594950e867e420a6086190a88e4b8fbd687af91 -> trunk/c594950e867e420a6086190a88e4b8fbd687af91
2025-11-03T17:05:59.4001704Z  * [new tag]                 trunk/c6a02eae5b77758ee7ee0b1dfbcf20a8341914a7 -> trunk/c6a02eae5b77758ee7ee0b1dfbcf20a8341914a7
2025-11-03T17:05:59.4003372Z  * [new tag]                 trunk/c8adc08b3b19b838dcdc71f2055600f420e6a91b -> trunk/c8adc08b3b19b838dcdc71f2055600f420e6a91b
2025-11-03T17:05:59.4005027Z  * [new tag]                 trunk/c9eabadc5e964678556a6bfcde455a5e11dc0785 -> trunk/c9eabadc5e964678556a6bfcde455a5e11dc0785
2025-11-03T17:05:59.4006620Z  * [new tag]                 trunk/cb6966704cf70ebac6d2b36b65e9a75e11c29e71 -> trunk/cb6966704cf70ebac6d2b36b65e9a75e11c29e71
2025-11-03T17:05:59.4007776Z  * [new tag]                 trunk/cde81e92b95eee9af2879c9c75f7b03699ca72ad -> trunk/cde81e92b95eee9af2879c9c75f7b03699ca72ad
2025-11-03T17:05:59.4009385Z  * [new tag]                 trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac -> trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac
2025-11-03T17:05:59.4010992Z  * [new tag]                 trunk/cf7756da385e03c169f7e6a5b5ff2c0e29b2814a -> trunk/cf7756da385e03c169f7e6a5b5ff2c0e29b2814a
2025-11-03T17:05:59.4012600Z  * [new tag]                 trunk/cf9a834f39d6c3b769381cc1321bcb5c54132415 -> trunk/cf9a834f39d6c3b769381cc1321bcb5c54132415
2025-11-03T17:05:59.4014108Z  * [new tag]                 trunk/d049ed2cb1619c44279cb716b8a1d94e4df3b372 -> trunk/d049ed2cb1619c44279cb716b8a1d94e4df3b372
2025-11-03T17:05:59.4015667Z  * [new tag]                 trunk/d17790072381f0e76e177ae4093504a6908a5a4d -> trunk/d17790072381f0e76e177ae4093504a6908a5a4d
2025-11-03T17:05:59.4017190Z  * [new tag]                 trunk/d1a6e006e090b1365e6653853982f175cca452e8 -> trunk/d1a6e006e090b1365e6653853982f175cca452e8
2025-11-03T17:05:59.4018525Z  * [new tag]                 trunk/d2be06f673ff11e59b234156dccaad2dc22c7746 -> trunk/d2be06f673ff11e59b234156dccaad2dc22c7746
2025-11-03T17:05:59.4020639Z  * [new tag]                 trunk/d2eff5d454ab2cb0a5ccdfb5eb6e7d6dcc75e097 -> trunk/d2eff5d454ab2cb0a5ccdfb5eb6e7d6dcc75e097
2025-11-03T17:05:59.4022237Z  * [new tag]                 trunk/d3be06cbdca4b2a9cd8ae35926b3f20b1bed1fe2 -> trunk/d3be06cbdca4b2a9cd8ae35926b3f20b1bed1fe2
2025-11-03T17:05:59.4024256Z  * [new tag]                 trunk/d3e511f07c0b1fc6df22347aec7f8e700bdb0d24 -> trunk/d3e511f07c0b1fc6df22347aec7f8e700bdb0d24
2025-11-03T17:05:59.4025894Z  * [new tag]                 trunk/d401e4e70a1dd19733d3e3c84affc4884605efb4 -> trunk/d401e4e70a1dd19733d3e3c84affc4884605efb4
2025-11-03T17:05:59.4027343Z  * [new tag]                 trunk/d46d8d6f54b15ded4f2483c7bde31be124281ab8 -> trunk/d46d8d6f54b15ded4f2483c7bde31be124281ab8
2025-11-03T17:05:59.4028739Z  * [new tag]                 trunk/d6d6fa26f540c10c57ac80547a9475e9f4c201f2 -> trunk/d6d6fa26f540c10c57ac80547a9475e9f4c201f2
2025-11-03T17:05:59.4030321Z  * [new tag]                 trunk/d7040e6d7515cea485824d2b810bea94e5958dea -> trunk/d7040e6d7515cea485824d2b810bea94e5958dea
2025-11-03T17:05:59.4031853Z  * [new tag]                 trunk/d80ae738c9c1810b30a88233bdcd34cae16c5c6e -> trunk/d80ae738c9c1810b30a88233bdcd34cae16c5c6e
2025-11-03T17:05:59.4033647Z  * [new tag]                 trunk/d8283a317a335c628c4541c6a60e102fdead57b7 -> trunk/d8283a317a335c628c4541c6a60e102fdead57b7
2025-11-03T17:05:59.4035179Z  * [new tag]                 trunk/d9483d4c8d3f220ad505afd05606e068184896a4 -> trunk/d9483d4c8d3f220ad505afd05606e068184896a4
2025-11-03T17:05:59.4036506Z  * [new tag]                 trunk/d962bed15798961ffd10e64068f86a2cec411ffb -> trunk/d962bed15798961ffd10e64068f86a2cec411ffb
2025-11-03T17:05:59.4038111Z  * [new tag]                 trunk/d97144d31ef42e762ce65f467cbaf065edb241cc -> trunk/d97144d31ef42e762ce65f467cbaf065edb241cc
2025-11-03T17:05:59.4039713Z  * [new tag]                 trunk/dc011d3203b24ebf1f78ab8dd64766205e64d8ec -> trunk/dc011d3203b24ebf1f78ab8dd64766205e64d8ec
2025-11-03T17:05:59.4041193Z  * [new tag]                 trunk/dd1fe7c22f8eee3984a22663636b0d1403b079ba -> trunk/dd1fe7c22f8eee3984a22663636b0d1403b079ba
2025-11-03T17:05:59.4042800Z  * [new tag]                 trunk/deb776319b12cad7fffb5cf9d8851a50e2b0e9ea -> trunk/deb776319b12cad7fffb5cf9d8851a50e2b0e9ea
2025-11-03T17:05:59.4044397Z  * [new tag]                 trunk/defac66e39c60f867795346ded171366ed682ee3 -> trunk/defac66e39c60f867795346ded171366ed682ee3
2025-11-03T17:05:59.4045559Z  * [new tag]                 trunk/df71b7072799c451a008cb36142dfdb1487f0d5e -> trunk/df71b7072799c451a008cb36142dfdb1487f0d5e
2025-11-03T17:05:59.4047175Z  * [new tag]                 trunk/dfebdcab86acbaa0eaa996b47595e5f27a66492e -> trunk/dfebdcab86acbaa0eaa996b47595e5f27a66492e
2025-11-03T17:05:59.4048317Z  * [new tag]                 trunk/e0604d3170f1123ebacbced66be400c7f162621f -> trunk/e0604d3170f1123ebacbced66be400c7f162621f
2025-11-03T17:05:59.4050168Z  * [new tag]                 trunk/e0791fc11dc0024a828495985898b29120dcc4c1 -> trunk/e0791fc11dc0024a828495985898b29120dcc4c1
2025-11-03T17:05:59.4051725Z  * [new tag]                 trunk/e0ca3049c0c7726747094f47f80cadcfad51320d -> trunk/e0ca3049c0c7726747094f47f80cadcfad51320d
2025-11-03T17:05:59.4053478Z  * [new tag]                 trunk/e105a475756ae6dd45c8134bd4583afc57ee416e -> trunk/e105a475756ae6dd45c8134bd4583afc57ee416e
2025-11-03T17:05:59.4055047Z  * [new tag]                 trunk/e137cd0a1046ead2ca9d631f427655adced606c2 -> trunk/e137cd0a1046ead2ca9d631f427655adced606c2
2025-11-03T17:05:59.4056575Z  * [new tag]                 trunk/e1d011d6eb571cd98ec7c7ed8e8b518a5463ec97 -> trunk/e1d011d6eb571cd98ec7c7ed8e8b518a5463ec97
2025-11-03T17:05:59.4057741Z  * [new tag]                 trunk/e214af6ae8e613485ac3dac3e2094cf53dfc3c1d -> trunk/e214af6ae8e613485ac3dac3e2094cf53dfc3c1d
2025-11-03T17:05:59.4059521Z  * [new tag]                 trunk/e2dc32f4baf853e6171777aed530fc83bcdb35ae -> trunk/e2dc32f4baf853e6171777aed530fc83bcdb35ae
2025-11-03T17:05:59.4061083Z  * [new tag]                 trunk/e380028a51c38de80b8888d027c63e290a773651 -> trunk/e380028a51c38de80b8888d027c63e290a773651
2025-11-03T17:05:59.4062557Z  * [new tag]                 trunk/e3ae0594d16134632ff587c9ab400d4148c83e9f -> trunk/e3ae0594d16134632ff587c9ab400d4148c83e9f
2025-11-03T17:05:59.4063725Z  * [new tag]                 trunk/e3e93c7107830c13f4139c3a62fda62c6b84bbf5 -> trunk/e3e93c7107830c13f4139c3a62fda62c6b84bbf5
2025-11-03T17:05:59.4065521Z  * [new tag]                 trunk/e4043884c734a3947f4c8da0cfbba43fc6319f3d -> trunk/e4043884c734a3947f4c8da0cfbba43fc6319f3d
2025-11-03T17:05:59.4066619Z  * [new tag]                 trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a -> trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a
2025-11-03T17:05:59.4068422Z  * [new tag]                 trunk/e83be7042e809ef51c67f53d83ac45794447c73f -> trunk/e83be7042e809ef51c67f53d83ac45794447c73f
2025-11-03T17:05:59.4069930Z  * [new tag]                 trunk/e8d887ae3fceb97283bc2d751621b9615524b4b7 -> trunk/e8d887ae3fceb97283bc2d751621b9615524b4b7
2025-11-03T17:05:59.4071595Z  * [new tag]                 trunk/e8fadba28cc225782ddce1bf0ef8315ee1743761 -> trunk/e8fadba28cc225782ddce1bf0ef8315ee1743761
2025-11-03T17:05:59.4073183Z  * [new tag]                 trunk/e95920e3e6f9d8218c6aed2b8b6ce9b838a49104 -> trunk/e95920e3e6f9d8218c6aed2b8b6ce9b838a49104
2025-11-03T17:05:59.4074721Z  * [new tag]                 trunk/ea698e8bfcd2ec1820b3ba90b9c47416a33348de -> trunk/ea698e8bfcd2ec1820b3ba90b9c47416a33348de
2025-11-03T17:05:59.4076288Z  * [new tag]                 trunk/eae701cad03feb87908107cb5246d9e13a9d426e -> trunk/eae701cad03feb87908107cb5246d9e13a9d426e
2025-11-03T17:05:59.4077833Z  * [new tag]                 trunk/eb2bad5bb54df8a2563f2619819e9e689e0ba10e -> trunk/eb2bad5bb54df8a2563f2619819e9e689e0ba10e
2025-11-03T17:05:59.4079364Z  * [new tag]                 trunk/ebb2b2e894a4ede8efc5f5fff068d4ac9972f77a -> trunk/ebb2b2e894a4ede8efc5f5fff068d4ac9972f77a
2025-11-03T17:05:59.4080898Z  * [new tag]                 trunk/ee7434be822cf6e75b4566d8159f550ee233d8ae -> trunk/ee7434be822cf6e75b4566d8159f550ee233d8ae
2025-11-03T17:05:59.4082622Z  * [new tag]                 trunk/ef8d97efcf05e1f3a05ad5ce3444e3af42481505 -> trunk/ef8d97efcf05e1f3a05ad5ce3444e3af42481505
2025-11-03T17:05:59.4083756Z  * [new tag]                 trunk/f013e804c876a34cbc86a6a475597e3e29812883 -> trunk/f013e804c876a34cbc86a6a475597e3e29812883
2025-11-03T17:05:59.4085419Z  * [new tag]                 trunk/f02708c2be66c7cf0edec52663de69f66ba4b1df -> trunk/f02708c2be66c7cf0edec52663de69f66ba4b1df
2025-11-03T17:05:59.4087011Z  * [new tag]                 trunk/f0745ddb11ab66a8bb4de8031bd7e9dccba19379 -> trunk/f0745ddb11ab66a8bb4de8031bd7e9dccba19379
2025-11-03T17:05:59.4088502Z  * [new tag]                 trunk/f167fd09fabf3f5be63cd31451f29d49796c14e8 -> trunk/f167fd09fabf3f5be63cd31451f29d49796c14e8
2025-11-03T17:05:59.4090000Z  * [new tag]                 trunk/f1a34407152302812bf633360cd29e9fba8de71e -> trunk/f1a34407152302812bf633360cd29e9fba8de71e
2025-11-03T17:05:59.4091510Z  * [new tag]                 trunk/f1af679270392c83e03808c8af5e2cbe3cdf16ce -> trunk/f1af679270392c83e03808c8af5e2cbe3cdf16ce
2025-11-03T17:05:59.4093242Z  * [new tag]                 trunk/f1e4c42b6ef3d3cea08ab3babb693e3ce42cf08b -> trunk/f1e4c42b6ef3d3cea08ab3babb693e3ce42cf08b
2025-11-03T17:05:59.4094770Z  * [new tag]                 trunk/f20bf778746a7662a9bdbd2fa49d326772ca90ed -> trunk/f20bf778746a7662a9bdbd2fa49d326772ca90ed
2025-11-03T17:05:59.4096257Z  * [new tag]                 trunk/f2450798cd6f30b811f6d8256da0c271cad2285c -> trunk/f2450798cd6f30b811f6d8256da0c271cad2285c
2025-11-03T17:05:59.4097770Z  * [new tag]                 trunk/f2c81635c85bf8d1c523d6b17f8016ad78ea02e2 -> trunk/f2c81635c85bf8d1c523d6b17f8016ad78ea02e2
2025-11-03T17:05:59.4099390Z  * [new tag]                 trunk/f33abae6957b8ef56268ce22e660d3ed3111c7c3 -> trunk/f33abae6957b8ef56268ce22e660d3ed3111c7c3
2025-11-03T17:05:59.4101022Z  * [new tag]                 trunk/f36f372acc28062e0988d84699c62689b0d89a6e -> trunk/f36f372acc28062e0988d84699c62689b0d89a6e
2025-11-03T17:05:59.4103009Z  * [new tag]                 trunk/f452edd782fb7342e2a5740cea9b78135e714858 -> trunk/f452edd782fb7342e2a5740cea9b78135e714858
2025-11-03T17:05:59.4104516Z  * [new tag]                 trunk/f4d05feb7a5f9191509e1e539ea210fcbe538b32 -> trunk/f4d05feb7a5f9191509e1e539ea210fcbe538b32
2025-11-03T17:05:59.4106014Z  * [new tag]                 trunk/f5543e3741bbfba4579afc3b49d0720f2eee7e4d -> trunk/f5543e3741bbfba4579afc3b49d0720f2eee7e4d
2025-11-03T17:05:59.4107339Z  * [new tag]                 trunk/f5cb9a4c68d9271c58ef4d3257210984b8e85099 -> trunk/f5cb9a4c68d9271c58ef4d3257210984b8e85099
2025-11-03T17:05:59.4109025Z  * [new tag]                 trunk/f60751024ecac57840a2d25132d0c1562351e66e -> trunk/f60751024ecac57840a2d25132d0c1562351e66e
2025-11-03T17:05:59.4110493Z  * [new tag]                 trunk/f6951cb8ea1ef96a33627734eb68b5dc7a04b6ed -> trunk/f6951cb8ea1ef96a33627734eb68b5dc7a04b6ed
2025-11-03T17:05:59.4112155Z  * [new tag]                 trunk/f89a7e9fe80fb0f74af52bad892e1afafa57be9c -> trunk/f89a7e9fe80fb0f74af52bad892e1afafa57be9c
2025-11-03T17:05:59.4113627Z  * [new tag]                 trunk/f8b4c002940d96ba2afc14ac4cf0b5277776bc02 -> trunk/f8b4c002940d96ba2afc14ac4cf0b5277776bc02
2025-11-03T17:05:59.4115142Z  * [new tag]                 trunk/f911d64750efb22097eef5505552a7669a0c53de -> trunk/f911d64750efb22097eef5505552a7669a0c53de
2025-11-03T17:05:59.4116659Z  * [new tag]                 trunk/f91899ca6c15d611c453591527e1be8b43e5d4ea -> trunk/f91899ca6c15d611c453591527e1be8b43e5d4ea
2025-11-03T17:05:59.4118282Z  * [new tag]                 trunk/f93ea7dab190fa0953b7a4921b76993cadafc7c9 -> trunk/f93ea7dab190fa0953b7a4921b76993cadafc7c9
2025-11-03T17:05:59.4119876Z  * [new tag]                 trunk/fa4cb918462d3cbe7cf48db7c1498824c1ca1cc4 -> trunk/fa4cb918462d3cbe7cf48db7c1498824c1ca1cc4
2025-11-03T17:05:59.4121011Z  * [new tag]                 trunk/fa560e1158b496d1c37ca2a2443a0b7f5a08dad5 -> trunk/fa560e1158b496d1c37ca2a2443a0b7f5a08dad5
2025-11-03T17:05:59.4122777Z  * [new tag]                 trunk/fa8e073a4e17f12e7e4bb0b26471179d2ca57471 -> trunk/fa8e073a4e17f12e7e4bb0b26471179d2ca57471
2025-11-03T17:05:59.4124394Z  * [new tag]                 trunk/fb545fb0686c94cc017c15ca7e342996b49edb81 -> trunk/fb545fb0686c94cc017c15ca7e342996b49edb81
2025-11-03T17:05:59.4126128Z  * [new tag]                 trunk/fc540cefd498f1001a5fc7a4f187080628b27839 -> trunk/fc540cefd498f1001a5fc7a4f187080628b27839
2025-11-03T17:05:59.4127289Z  * [new tag]                 trunk/fc8ac1216c61d8736f45a58825abf58e7d51e088 -> trunk/fc8ac1216c61d8736f45a58825abf58e7d51e088
2025-11-03T17:05:59.4129121Z  * [new tag]                 trunk/fcc10635660ceb619f78d06eaaa8b3c0bdd52ab8 -> trunk/fcc10635660ceb619f78d06eaaa8b3c0bdd52ab8
2025-11-03T17:05:59.4130744Z  * [new tag]                 trunk/fcd5f8c352b5b75bd32e57fa044ec5df095032da -> trunk/fcd5f8c352b5b75bd32e57fa044ec5df095032da
2025-11-03T17:05:59.4132814Z  * [new tag]                 trunk/fd5da81fdd76c0a78ef935d077a93b48b78fca3a -> trunk/fd5da81fdd76c0a78ef935d077a93b48b78fca3a
2025-11-03T17:05:59.4134643Z  * [new tag]                 trunk/fd68d409ada709450ced3030bde89ec662a3f7b7 -> trunk/fd68d409ada709450ced3030bde89ec662a3f7b7
2025-11-03T17:05:59.4136008Z  * [new tag]                 trunk/fea819ed080175f9a93205cc9074022bfa486325 -> trunk/fea819ed080175f9a93205cc9074022bfa486325
2025-11-03T17:05:59.4137578Z  * [new tag]                 trunk/fee1ac927d66fce67f862311292dcc325b8def44 -> trunk/fee1ac927d66fce67f862311292dcc325b8def44
2025-11-03T17:05:59.4139130Z  * [new tag]                 trunk/fee7624bd66e64f575c1396fcaaa54cabce49ca4 -> trunk/fee7624bd66e64f575c1396fcaaa54cabce49ca4
2025-11-03T17:05:59.4140659Z  * [new tag]                 trunk/fefb546b9100614da1fa703e12651bc115059f02 -> trunk/fefb546b9100614da1fa703e12651bc115059f02
2025-11-03T17:05:59.4142409Z  * [new tag]                 trunk/ff46d5a79bec09d9ae334d325f5f8cc89306b536 -> trunk/ff46d5a79bec09d9ae334d325f5f8cc89306b536
2025-11-03T17:05:59.4143947Z  * [new tag]                 trunk/ffaa6578b7a641b1ac1fcf451f04cf5e1212c9fe -> trunk/ffaa6578b7a641b1ac1fcf451f04cf5e1212c9fe
2025-11-03T17:05:59.4145048Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-11-03T17:05:59.4146520Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-11-03T17:05:59.4147920Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-11-03T17:05:59.4149251Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-11-03T17:05:59.4150551Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-11-03T17:05:59.4151953Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-11-03T17:05:59.4153436Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-11-03T17:05:59.4154792Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-11-03T17:05:59.4156214Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-11-03T17:05:59.4157528Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-11-03T17:05:59.4158852Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-11-03T17:05:59.4160153Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-11-03T17:05:59.4161541Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-11-03T17:05:59.4162972Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-11-03T17:05:59.4164511Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-11-03T17:05:59.4165851Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-11-03T17:05:59.4167220Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-11-03T17:05:59.4168605Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-11-03T17:05:59.4170143Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-11-03T17:05:59.4171604Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-11-03T17:05:59.4173357Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-11-03T17:05:59.4174228Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-11-03T17:05:59.4175991Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-11-03T17:05:59.4177403Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-11-03T17:05:59.4178863Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-11-03T17:05:59.4180353Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-11-03T17:05:59.4181784Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-11-03T17:05:59.4182859Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-11-03T17:05:59.4184449Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-11-03T17:05:59.4185655Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-11-03T17:05:59.4187424Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-11-03T17:05:59.4188611Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-11-03T17:05:59.4190057Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-11-03T17:05:59.4191532Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-11-03T17:05:59.4193022Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-11-03T17:05:59.4194462Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-11-03T17:05:59.4195959Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-11-03T17:05:59.4197428Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-11-03T17:05:59.4198654Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-11-03T17:05:59.4199738Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-11-03T17:05:59.4201240Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-11-03T17:05:59.4202654Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-11-03T17:05:59.4204174Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-11-03T17:05:59.4205680Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-11-03T17:05:59.4207339Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-11-03T17:05:59.4208562Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-11-03T17:05:59.4210160Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-11-03T17:05:59.4211364Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-11-03T17:05:59.4212775Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-11-03T17:05:59.4213728Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-11-03T17:05:59.4215541Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-11-03T17:05:59.4217061Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-11-03T17:05:59.4218549Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-11-03T17:05:59.4220008Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-11-03T17:05:59.4221271Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-11-03T17:05:59.4222714Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-11-03T17:05:59.4224136Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-11-03T17:05:59.4225576Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-11-03T17:05:59.4226975Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-11-03T17:05:59.4228510Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-11-03T17:05:59.4229709Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-11-03T17:05:59.4230914Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-11-03T17:05:59.4235487Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-11-03T17:05:59.4236266Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-11-03T17:05:59.4238193Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-11-03T17:05:59.4239302Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-11-03T17:05:59.4240880Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-11-03T17:05:59.4242186Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-11-03T17:05:59.4243415Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-11-03T17:05:59.4244806Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-11-03T17:05:59.4246258Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-11-03T17:05:59.4247337Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-11-03T17:05:59.4248965Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-11-03T17:05:59.4250420Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-11-03T17:05:59.4251957Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-11-03T17:05:59.4253551Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-11-03T17:05:59.4254912Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-11-03T17:05:59.4256119Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-11-03T17:05:59.4257668Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-11-03T17:05:59.4258754Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-11-03T17:05:59.4260015Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-11-03T17:05:59.4261474Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-11-03T17:05:59.4263010Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-11-03T17:05:59.4264546Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-11-03T17:05:59.4266011Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-11-03T17:05:59.4267285Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-11-03T17:05:59.4268874Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-11-03T17:05:59.4270081Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-11-03T17:05:59.4271543Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-11-03T17:05:59.4272926Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-11-03T17:05:59.4274513Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-11-03T17:05:59.4275930Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-11-03T17:05:59.4277203Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-11-03T17:05:59.4278613Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-11-03T17:05:59.4280707Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-11-03T17:05:59.4282153Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-11-03T17:05:59.4283355Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-11-03T17:05:59.4284814Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-11-03T17:05:59.4286077Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-11-03T17:05:59.4287516Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-11-03T17:05:59.4289004Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-11-03T17:05:59.4290355Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-11-03T17:05:59.4291667Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-11-03T17:05:59.4292793Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-11-03T17:05:59.4294408Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-11-03T17:05:59.4295721Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-11-03T17:05:59.4296644Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-11-03T17:05:59.4298737Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-11-03T17:05:59.4299948Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-11-03T17:05:59.4301377Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-11-03T17:05:59.4302803Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-11-03T17:05:59.4304294Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-11-03T17:05:59.4305742Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-11-03T17:05:59.4307018Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-11-03T17:05:59.4308511Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-11-03T17:05:59.4310251Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-11-03T17:05:59.4311392Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-11-03T17:05:59.4312916Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-11-03T17:05:59.4314303Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-11-03T17:05:59.4315779Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-11-03T17:05:59.4317302Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-11-03T17:05:59.4318681Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-11-03T17:05:59.4320128Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-11-03T17:05:59.4321194Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-11-03T17:05:59.4322847Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-11-03T17:05:59.4324350Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-11-03T17:05:59.4325596Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-11-03T17:05:59.4326940Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-11-03T17:05:59.4328156Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-11-03T17:05:59.4330106Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-11-03T17:05:59.4331530Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-11-03T17:05:59.4333246Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-11-03T17:05:59.4334790Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-11-03T17:05:59.4336275Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-11-03T17:05:59.4337833Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-11-03T17:05:59.4339028Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-11-03T17:05:59.4340533Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-11-03T17:05:59.4342002Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-11-03T17:05:59.4343447Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-11-03T17:05:59.4345041Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-11-03T17:05:59.4346517Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-11-03T17:05:59.4347899Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-11-03T17:05:59.4349208Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-11-03T17:05:59.4350639Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-11-03T17:05:59.4352115Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-11-03T17:05:59.4353611Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-11-03T17:05:59.4354872Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-11-03T17:05:59.4356601Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-11-03T17:05:59.4357869Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-11-03T17:05:59.4359230Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-11-03T17:05:59.4360627Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-11-03T17:05:59.4362018Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-11-03T17:05:59.4363517Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-11-03T17:05:59.4364893Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-11-03T17:05:59.4366120Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-11-03T17:05:59.4367339Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-11-03T17:05:59.4368848Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-11-03T17:05:59.4370379Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-11-03T17:05:59.4372128Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-11-03T17:05:59.4373567Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-11-03T17:05:59.4374802Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-11-03T17:05:59.4376483Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-11-03T17:05:59.4377798Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-11-03T17:05:59.4378907Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-11-03T17:05:59.4380441Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-11-03T17:05:59.4381858Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-11-03T17:05:59.4383327Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-11-03T17:05:59.4384897Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-11-03T17:05:59.4386124Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-11-03T17:05:59.4387547Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-11-03T17:05:59.4389091Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-11-03T17:05:59.4390518Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-11-03T17:05:59.4391923Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-11-03T17:05:59.4392901Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-11-03T17:05:59.4394591Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-11-03T17:05:59.4396011Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-11-03T17:05:59.4397276Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-11-03T17:05:59.4398528Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-11-03T17:05:59.4400015Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-11-03T17:05:59.4401494Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-11-03T17:05:59.4402959Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-11-03T17:05:59.4404404Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-11-03T17:05:59.4405878Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-11-03T17:05:59.4407295Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-11-03T17:05:59.4408688Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-11-03T17:05:59.4410082Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-11-03T17:05:59.4411645Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-11-03T17:05:59.4413217Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-11-03T17:05:59.4414881Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-11-03T17:05:59.4416149Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-11-03T17:05:59.4417729Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-11-03T17:05:59.4418941Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-11-03T17:05:59.4420431Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-11-03T17:05:59.4421968Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-11-03T17:05:59.4423418Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-11-03T17:05:59.4424818Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-11-03T17:05:59.4426297Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-11-03T17:05:59.4427539Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-11-03T17:05:59.4428975Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-11-03T17:05:59.4430363Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-11-03T17:05:59.4432017Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-11-03T17:05:59.4433448Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-11-03T17:05:59.4434980Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-11-03T17:05:59.4436409Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-11-03T17:05:59.4438206Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-11-03T17:05:59.4439702Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-11-03T17:05:59.4440931Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-11-03T17:05:59.4442146Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-11-03T17:05:59.4443346Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-11-03T17:05:59.4444843Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-11-03T17:05:59.4446387Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-11-03T17:05:59.4447935Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-11-03T17:05:59.4449313Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-11-03T17:05:59.4450982Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-11-03T17:05:59.4452742Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-11-03T17:05:59.4454140Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-11-03T17:05:59.4455657Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-11-03T17:05:59.4457140Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-11-03T17:05:59.4458799Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-11-03T17:05:59.4460265Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-11-03T17:05:59.4461517Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-11-03T17:05:59.4463019Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-11-03T17:05:59.4464991Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-11-03T17:05:59.4466486Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-11-03T17:05:59.4467909Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-11-03T17:05:59.4469349Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-11-03T17:05:59.4470874Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-11-03T17:05:59.4472339Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-11-03T17:05:59.4473876Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-11-03T17:05:59.4475223Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-11-03T17:05:59.4476828Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-11-03T17:05:59.4478181Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-11-03T17:05:59.4479756Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-11-03T17:05:59.4481294Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-11-03T17:05:59.4482781Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-11-03T17:05:59.4484106Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-11-03T17:05:59.4485670Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-11-03T17:05:59.4487109Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-11-03T17:05:59.4488696Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-11-03T17:05:59.4490312Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-11-03T17:05:59.4491735Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-11-03T17:05:59.4493398Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-11-03T17:05:59.4494896Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-11-03T17:05:59.4496422Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-11-03T17:05:59.4497955Z  * [new tag]                 v2.9.0                      -> v2.9.0
2025-11-03T17:05:59.4499466Z  * [new tag]                 v2.9.0-rc1                  -> v2.9.0-rc1
2025-11-03T17:05:59.4500950Z  * [new tag]                 v2.9.0-rc10                 -> v2.9.0-rc10
2025-11-03T17:05:59.4502211Z  * [new tag]                 v2.9.0-rc11                 -> v2.9.0-rc11
2025-11-03T17:05:59.4503921Z  * [new tag]                 v2.9.0-rc2                  -> v2.9.0-rc2
2025-11-03T17:05:59.4505496Z  * [new tag]                 v2.9.0-rc3                  -> v2.9.0-rc3
2025-11-03T17:05:59.4506966Z  * [new tag]                 v2.9.0-rc4                  -> v2.9.0-rc4
2025-11-03T17:05:59.4508514Z  * [new tag]                 v2.9.0-rc5                  -> v2.9.0-rc5
2025-11-03T17:05:59.4510297Z  * [new tag]                 v2.9.0-rc6                  -> v2.9.0-rc6
2025-11-03T17:05:59.4511619Z  * [new tag]                 v2.9.0-rc7                  -> v2.9.0-rc7
2025-11-03T17:05:59.4513468Z  * [new tag]                 v2.9.0-rc8                  -> v2.9.0-rc8
2025-11-03T17:05:59.4514361Z  * [new tag]                 v2.9.0-rc9                  -> v2.9.0-rc9
2025-11-03T17:05:59.4516700Z  * [new tag]                 viable/strict/1759343184    -> viable/strict/1759343184
2025-11-03T17:05:59.4518056Z  * [new tag]                 viable/strict/1759346540    -> viable/strict/1759346540
2025-11-03T17:05:59.4519471Z  * [new tag]                 viable/strict/1759348181    -> viable/strict/1759348181
2025-11-03T17:05:59.4520823Z  * [new tag]                 viable/strict/1759350324    -> viable/strict/1759350324
2025-11-03T17:05:59.4522252Z  * [new tag]                 viable/strict/1759351793    -> viable/strict/1759351793
2025-11-03T17:05:59.4523647Z  * [new tag]                 viable/strict/1759353844    -> viable/strict/1759353844
2025-11-03T17:05:59.4525029Z  * [new tag]                 viable/strict/1759355374    -> viable/strict/1759355374
2025-11-03T17:05:59.4526268Z  * [new tag]                 viable/strict/1759357472    -> viable/strict/1759357472
2025-11-03T17:05:59.4527661Z  * [new tag]                 viable/strict/1759361002    -> viable/strict/1759361002
2025-11-03T17:05:59.4529423Z  * [new tag]                 viable/strict/1759362585    -> viable/strict/1759362585
2025-11-03T17:05:59.4531067Z  * [new tag]                 viable/strict/1759365359    -> viable/strict/1759365359
2025-11-03T17:05:59.4532863Z  * [new tag]                 viable/strict/1759370089    -> viable/strict/1759370089
2025-11-03T17:05:59.4534521Z  * [new tag]                 viable/strict/1759377554    -> viable/strict/1759377554
2025-11-03T17:05:59.4535489Z  * [new tag]                 viable/strict/1759379133    -> viable/strict/1759379133
2025-11-03T17:05:59.4537171Z  * [new tag]                 viable/strict/1759389871    -> viable/strict/1759389871
2025-11-03T17:05:59.4538653Z  * [new tag]                 viable/strict/1759393562    -> viable/strict/1759393562
2025-11-03T17:05:59.4540141Z  * [new tag]                 viable/strict/1759395076    -> viable/strict/1759395076
2025-11-03T17:05:59.4541776Z  * [new tag]                 viable/strict/1759398579    -> viable/strict/1759398579
2025-11-03T17:05:59.4543235Z  * [new tag]                 viable/strict/1759404142    -> viable/strict/1759404142
2025-11-03T17:05:59.4545127Z  * [new tag]                 viable/strict/1759405773    -> viable/strict/1759405773
2025-11-03T17:05:59.4546620Z  * [new tag]                 viable/strict/1759408041    -> viable/strict/1759408041
2025-11-03T17:05:59.4548104Z  * [new tag]                 viable/strict/1759411593    -> viable/strict/1759411593
2025-11-03T17:05:59.4549576Z  * [new tag]                 viable/strict/1759427395    -> viable/strict/1759427395
2025-11-03T17:05:59.4551057Z  * [new tag]                 viable/strict/1759434582    -> viable/strict/1759434582
2025-11-03T17:05:59.4552515Z  * [new tag]                 viable/strict/1759436720    -> viable/strict/1759436720
2025-11-03T17:05:59.4554054Z  * [new tag]                 viable/strict/1759440219    -> viable/strict/1759440219
2025-11-03T17:05:59.4555531Z  * [new tag]                 viable/strict/1759441948    -> viable/strict/1759441948
2025-11-03T17:05:59.4556944Z  * [new tag]                 viable/strict/1759443860    -> viable/strict/1759443860
2025-11-03T17:05:59.4558434Z  * [new tag]                 viable/strict/1759445377    -> viable/strict/1759445377
2025-11-03T17:05:59.4559966Z  * [new tag]                 viable/strict/1759447415    -> viable/strict/1759447415
2025-11-03T17:05:59.4561431Z  * [new tag]                 viable/strict/1759451750    -> viable/strict/1759451750
2025-11-03T17:05:59.4562883Z  * [new tag]                 viable/strict/1759453910    -> viable/strict/1759453910
2025-11-03T17:05:59.4564417Z  * [new tag]                 viable/strict/1759456483    -> viable/strict/1759456483
2025-11-03T17:05:59.4565914Z  * [new tag]                 viable/strict/1759459279    -> viable/strict/1759459279
2025-11-03T17:05:59.4568271Z  * [new tag]                 viable/strict/1759460742    -> viable/strict/1759460742
2025-11-03T17:05:59.4569074Z  * [new tag]                 viable/strict/1759462025    -> viable/strict/1759462025
2025-11-03T17:05:59.4570626Z  * [new tag]                 viable/strict/1759469086    -> viable/strict/1759469086
2025-11-03T17:05:59.4571790Z  * [new tag]                 viable/strict/1759470581    -> viable/strict/1759470581
2025-11-03T17:05:59.4573401Z  * [new tag]                 viable/strict/1759472786    -> viable/strict/1759472786
2025-11-03T17:05:59.4574892Z  * [new tag]                 viable/strict/1759476294    -> viable/strict/1759476294
2025-11-03T17:05:59.4576376Z  * [new tag]                 viable/strict/1759479963    -> viable/strict/1759479963
2025-11-03T17:05:59.4577934Z  * [new tag]                 viable/strict/1759492177    -> viable/strict/1759492177
2025-11-03T17:05:59.4579372Z  * [new tag]                 viable/strict/1759519278    -> viable/strict/1759519278
2025-11-03T17:05:59.4580843Z  * [new tag]                 viable/strict/1759524580    -> viable/strict/1759524580
2025-11-03T17:05:59.4582263Z  * [new tag]                 viable/strict/1759528193    -> viable/strict/1759528193
2025-11-03T17:05:59.4583609Z  * [new tag]                 viable/strict/1759533797    -> viable/strict/1759533797
2025-11-03T17:05:59.4585081Z  * [new tag]                 viable/strict/1759542780    -> viable/strict/1759542780
2025-11-03T17:05:59.4586550Z  * [new tag]                 viable/strict/1759549779    -> viable/strict/1759549779
2025-11-03T17:05:59.4588215Z  * [new tag]                 viable/strict/1759555455    -> viable/strict/1759555455
2025-11-03T17:05:59.4589744Z  * [new tag]                 viable/strict/1759559176    -> viable/strict/1759559176
2025-11-03T17:05:59.4591189Z  * [new tag]                 viable/strict/1759560629    -> viable/strict/1759560629
2025-11-03T17:05:59.4592630Z  * [new tag]                 viable/strict/1759569848    -> viable/strict/1759569848
2025-11-03T17:05:59.4594261Z  * [new tag]                 viable/strict/1759571382    -> viable/strict/1759571382
2025-11-03T17:05:59.4595713Z  * [new tag]                 viable/strict/1759573474    -> viable/strict/1759573474
2025-11-03T17:05:59.4597156Z  * [new tag]                 viable/strict/1759618187    -> viable/strict/1759618187
2025-11-03T17:05:59.4598629Z  * [new tag]                 viable/strict/1759626742    -> viable/strict/1759626742
2025-11-03T17:05:59.4600162Z  * [new tag]                 viable/strict/1759632427    -> viable/strict/1759632427
2025-11-03T17:05:59.4601685Z  * [new tag]                 viable/strict/1759634971    -> viable/strict/1759634971
2025-11-03T17:05:59.4603166Z  * [new tag]                 viable/strict/1759661382    -> viable/strict/1759661382
2025-11-03T17:05:59.4604645Z  * [new tag]                 viable/strict/1759663294    -> viable/strict/1759663294
2025-11-03T17:05:59.4605991Z  * [new tag]                 viable/strict/1759708178    -> viable/strict/1759708178
2025-11-03T17:05:59.4607481Z  * [new tag]                 viable/strict/1759715695    -> viable/strict/1759715695
2025-11-03T17:05:59.4608956Z  * [new tag]                 viable/strict/1759728293    -> viable/strict/1759728293
2025-11-03T17:05:59.4610483Z  * [new tag]                 viable/strict/1759735513    -> viable/strict/1759735513
2025-11-03T17:05:59.4611985Z  * [new tag]                 viable/strict/1759739177    -> viable/strict/1759739177
2025-11-03T17:05:59.4613590Z  * [new tag]                 viable/strict/1759758635    -> viable/strict/1759758635
2025-11-03T17:05:59.4615040Z  * [new tag]                 viable/strict/1759765784    -> viable/strict/1759765784
2025-11-03T17:05:59.4616498Z  * [new tag]                 viable/strict/1759767948    -> viable/strict/1759767948
2025-11-03T17:05:59.4618068Z  * [new tag]                 viable/strict/1759771461    -> viable/strict/1759771461
2025-11-03T17:05:59.4619407Z  * [new tag]                 viable/strict/1759776706    -> viable/strict/1759776706
2025-11-03T17:05:59.4620903Z  * [new tag]                 viable/strict/1759782317    -> viable/strict/1759782317
2025-11-03T17:05:59.4622425Z  * [new tag]                 viable/strict/1759783777    -> viable/strict/1759783777
2025-11-03T17:05:59.4623976Z  * [new tag]                 viable/strict/1759785815    -> viable/strict/1759785815
2025-11-03T17:05:59.4625332Z  * [new tag]                 viable/strict/1759789459    -> viable/strict/1759789459
2025-11-03T17:05:59.4626673Z  * [new tag]                 viable/strict/1759790974    -> viable/strict/1759790974
2025-11-03T17:05:59.4627991Z  * [new tag]                 viable/strict/1759794583    -> viable/strict/1759794583
2025-11-03T17:05:59.4629472Z  * [new tag]                 viable/strict/1759797408    -> viable/strict/1759797408
2025-11-03T17:05:59.4631029Z  * [new tag]                 viable/strict/1759799518    -> viable/strict/1759799518
2025-11-03T17:05:59.4635321Z  * [new tag]                 viable/strict/1759804909    -> viable/strict/1759804909
2025-11-03T17:05:59.4636802Z  * [new tag]                 viable/strict/1759807643    -> viable/strict/1759807643
2025-11-03T17:05:59.4638155Z  * [new tag]                 viable/strict/1759809089    -> viable/strict/1759809089
2025-11-03T17:05:59.4639721Z  * [new tag]                 viable/strict/1759811145    -> viable/strict/1759811145
2025-11-03T17:05:59.4641255Z  * [new tag]                 viable/strict/1759812581    -> viable/strict/1759812581
2025-11-03T17:05:59.4643171Z  * [new tag]                 viable/strict/1759814683    -> viable/strict/1759814683
2025-11-03T17:05:59.4644893Z  * [new tag]                 viable/strict/1759821889    -> viable/strict/1759821889
2025-11-03T17:05:59.4646279Z  * [new tag]                 viable/strict/1759823376    -> viable/strict/1759823376
2025-11-03T17:05:59.4647719Z  * [new tag]                 viable/strict/1759827107    -> viable/strict/1759827107
2025-11-03T17:05:59.4649218Z  * [new tag]                 viable/strict/1759830577    -> viable/strict/1759830577
2025-11-03T17:05:59.4650761Z  * [new tag]                 viable/strict/1759832720    -> viable/strict/1759832720
2025-11-03T17:05:59.4652324Z  * [new tag]                 viable/strict/1759842063    -> viable/strict/1759842063
2025-11-03T17:05:59.4653848Z  * [new tag]                 viable/strict/1759847121    -> viable/strict/1759847121
2025-11-03T17:05:59.4655672Z  * [new tag]                 viable/strict/1759850721    -> viable/strict/1759850721
2025-11-03T17:05:59.4656990Z  * [new tag]                 viable/strict/1759857870    -> viable/strict/1759857870
2025-11-03T17:05:59.4658330Z  * [new tag]                 viable/strict/1759863143    -> viable/strict/1759863143
2025-11-03T17:05:59.4659786Z  * [new tag]                 viable/strict/1759875874    -> viable/strict/1759875874
2025-11-03T17:05:59.4661093Z  * [new tag]                 viable/strict/1759877385    -> viable/strict/1759877385
2025-11-03T17:05:59.4662627Z  * [new tag]                 viable/strict/1759883801    -> viable/strict/1759883801
2025-11-03T17:05:59.4664121Z  * [new tag]                 viable/strict/1759885922    -> viable/strict/1759885922
2025-11-03T17:05:59.4665476Z  * [new tag]                 viable/strict/1759888488    -> viable/strict/1759888488
2025-11-03T17:05:59.4666945Z  * [new tag]                 viable/strict/1759895471    -> viable/strict/1759895471
2025-11-03T17:05:59.4668464Z  * [new tag]                 viable/strict/1759904803    -> viable/strict/1759904803
2025-11-03T17:05:59.4670102Z  * [new tag]                 viable/strict/1759908300    -> viable/strict/1759908300
2025-11-03T17:05:59.4671641Z  * [new tag]                 viable/strict/1759915520    -> viable/strict/1759915520
2025-11-03T17:05:59.4673119Z  * [new tag]                 viable/strict/1759916978    -> viable/strict/1759916978
2025-11-03T17:05:59.4674463Z  * [new tag]                 viable/strict/1759930024    -> viable/strict/1759930024
2025-11-03T17:05:59.4675999Z  * [new tag]                 viable/strict/1759948122    -> viable/strict/1759948122
2025-11-03T17:05:59.4677514Z  * [new tag]                 viable/strict/1759952983    -> viable/strict/1759952983
2025-11-03T17:05:59.4678627Z  * [new tag]                 viable/strict/1759955121    -> viable/strict/1759955121
2025-11-03T17:05:59.4680375Z  * [new tag]                 viable/strict/1759962298    -> viable/strict/1759962298
2025-11-03T17:05:59.4681656Z  * [new tag]                 viable/strict/1759965837    -> viable/strict/1759965837
2025-11-03T17:05:59.4683142Z  * [new tag]                 viable/strict/1759970213    -> viable/strict/1759970213
2025-11-03T17:05:59.4684625Z  * [new tag]                 viable/strict/1759974894    -> viable/strict/1759974894
2025-11-03T17:05:59.4686084Z  * [new tag]                 viable/strict/1759977763    -> viable/strict/1759977763
2025-11-03T17:05:59.4687711Z  * [new tag]                 viable/strict/1759979241    -> viable/strict/1759979241
2025-11-03T17:05:59.4689204Z  * [new tag]                 viable/strict/1759985417    -> viable/strict/1759985417
2025-11-03T17:05:59.4690754Z  * [new tag]                 viable/strict/1759987490    -> viable/strict/1759987490
2025-11-03T17:05:59.4692338Z  * [new tag]                 viable/strict/1759996180    -> viable/strict/1759996180
2025-11-03T17:05:59.4693932Z  * [new tag]                 viable/strict/1760065682    -> viable/strict/1760065682
2025-11-03T17:05:59.4695448Z  * [new tag]                 viable/strict/1760066894    -> viable/strict/1760066894
2025-11-03T17:05:59.4696930Z  * [new tag]                 viable/strict/1760070345    -> viable/strict/1760070345
2025-11-03T17:05:59.4698598Z  * [new tag]                 viable/strict/1760089782    -> viable/strict/1760089782
2025-11-03T17:05:59.4699927Z  * [new tag]                 viable/strict/1760091921    -> viable/strict/1760091921
2025-11-03T17:05:59.4701377Z  * [new tag]                 viable/strict/1760127924    -> viable/strict/1760127924
2025-11-03T17:05:59.4702825Z  * [new tag]                 viable/strict/1760129489    -> viable/strict/1760129489
2025-11-03T17:05:59.4704408Z  * [new tag]                 viable/strict/1760132980    -> viable/strict/1760132980
2025-11-03T17:05:59.4706061Z  * [new tag]                 viable/strict/1760135060    -> viable/strict/1760135060
2025-11-03T17:05:59.4707621Z  * [new tag]                 viable/strict/1760215782    -> viable/strict/1760215782
2025-11-03T17:05:59.4709026Z  * [new tag]                 viable/strict/1760273849    -> viable/strict/1760273849
2025-11-03T17:05:59.4710473Z  * [new tag]                 viable/strict/1760275517    -> viable/strict/1760275517
2025-11-03T17:05:59.4711963Z  * [new tag]                 viable/strict/1760276979    -> viable/strict/1760276979
2025-11-03T17:05:59.4713272Z  * [new tag]                 viable/strict/1760279007    -> viable/strict/1760279007
2025-11-03T17:05:59.4714588Z  * [new tag]                 viable/strict/1760286328    -> viable/strict/1760286328
2025-11-03T17:05:59.4715903Z  * [new tag]                 viable/strict/1760493304    -> viable/strict/1760493304
2025-11-03T17:05:59.4717256Z  * [new tag]                 viable/strict/1760496298    -> viable/strict/1760496298
2025-11-03T17:05:59.4718758Z  * [new tag]                 viable/strict/1760518396    -> viable/strict/1760518396
2025-11-03T17:05:59.4720244Z  * [new tag]                 viable/strict/1760534864    -> viable/strict/1760534864
2025-11-03T17:05:59.4721558Z  * [new tag]                 viable/strict/1760549062    -> viable/strict/1760549062
2025-11-03T17:05:59.4723157Z  * [new tag]                 viable/strict/1760552799    -> viable/strict/1760552799
2025-11-03T17:05:59.4724722Z  * [new tag]                 viable/strict/1760554355    -> viable/strict/1760554355
2025-11-03T17:05:59.4726245Z  * [new tag]                 viable/strict/1760556275    -> viable/strict/1760556275
2025-11-03T17:05:59.4727760Z  * [new tag]                 viable/strict/1760564979    -> viable/strict/1760564979
2025-11-03T17:05:59.4729275Z  * [new tag]                 viable/strict/1760567049    -> viable/strict/1760567049
2025-11-03T17:05:59.4731116Z  * [new tag]                 viable/strict/1760568585    -> viable/strict/1760568585
2025-11-03T17:05:59.4733076Z  * [new tag]                 viable/strict/1760570630    -> viable/strict/1760570630
2025-11-03T17:05:59.4734596Z  * [new tag]                 viable/strict/1760572180    -> viable/strict/1760572180
2025-11-03T17:05:59.4736185Z  * [new tag]                 viable/strict/1760575094    -> viable/strict/1760575094
2025-11-03T17:05:59.4737789Z  * [new tag]                 viable/strict/1760579709    -> viable/strict/1760579709
2025-11-03T17:05:59.4740173Z  * [new tag]                 viable/strict/1760582614    -> viable/strict/1760582614
2025-11-03T17:05:59.4741702Z  * [new tag]                 viable/strict/1760586815    -> viable/strict/1760586815
2025-11-03T17:05:59.4742994Z  * [new tag]                 viable/strict/1760588829    -> viable/strict/1760588829
2025-11-03T17:05:59.4744480Z  * [new tag]                 viable/strict/1760590200    -> viable/strict/1760590200
2025-11-03T17:05:59.4746077Z  * [new tag]                 viable/strict/1760592311    -> viable/strict/1760592311
2025-11-03T17:05:59.4747603Z  * [new tag]                 viable/strict/1760619733    -> viable/strict/1760619733
2025-11-03T17:05:59.4748886Z  * [new tag]                 viable/strict/1760628335    -> viable/strict/1760628335
2025-11-03T17:05:59.4750343Z  * [new tag]                 viable/strict/1760635490    -> viable/strict/1760635490
2025-11-03T17:05:59.4751865Z  * [new tag]                 viable/strict/1760640743    -> viable/strict/1760640743
2025-11-03T17:05:59.4753402Z  * [new tag]                 viable/strict/1760642528    -> viable/strict/1760642528
2025-11-03T17:05:59.4754813Z  * [new tag]                 viable/strict/1760646330    -> viable/strict/1760646330
2025-11-03T17:05:59.4756250Z  * [new tag]                 viable/strict/1760666101    -> viable/strict/1760666101
2025-11-03T17:05:59.4757970Z  * [new tag]                 viable/strict/1760668990    -> viable/strict/1760668990
2025-11-03T17:05:59.4759205Z  * [new tag]                 viable/strict/1760670600    -> viable/strict/1760670600
2025-11-03T17:05:59.4760680Z  * [new tag]                 viable/strict/1760671704    -> viable/strict/1760671704
2025-11-03T17:05:59.4762141Z  * [new tag]                 viable/strict/1760673121    -> viable/strict/1760673121
2025-11-03T17:05:59.4763623Z  * [new tag]                 viable/strict/1760675352    -> viable/strict/1760675352
2025-11-03T17:05:59.4765123Z  * [new tag]                 viable/strict/1760696731    -> viable/strict/1760696731
2025-11-03T17:05:59.4768064Z  * [new tag]                 viable/strict/1760723515    -> viable/strict/1760723515
2025-11-03T17:05:59.4769535Z  * [new tag]                 viable/strict/1760727234    -> viable/strict/1760727234
2025-11-03T17:05:59.4771076Z  * [new tag]                 viable/strict/1760730578    -> viable/strict/1760730578
2025-11-03T17:05:59.4772444Z  * [new tag]                 viable/strict/1760732726    -> viable/strict/1760732726
2025-11-03T17:05:59.4773995Z  * [new tag]                 viable/strict/1760734180    -> viable/strict/1760734180
2025-11-03T17:05:59.4775472Z  * [new tag]                 viable/strict/1760736251    -> viable/strict/1760736251
2025-11-03T17:05:59.4777071Z  * [new tag]                 viable/strict/1760737772    -> viable/strict/1760737772
2025-11-03T17:05:59.4778619Z  * [new tag]                 viable/strict/1760758005    -> viable/strict/1760758005
2025-11-03T17:05:59.4780084Z  * [new tag]                 viable/strict/1760761532    -> viable/strict/1760761532
2025-11-03T17:05:59.4781586Z  * [new tag]                 viable/strict/1760802581    -> viable/strict/1760802581
2025-11-03T17:05:59.4783068Z  * [new tag]                 viable/strict/1760827772    -> viable/strict/1760827772
2025-11-03T17:05:59.4784564Z  * [new tag]                 viable/strict/1760834524    -> viable/strict/1760834524
2025-11-03T17:05:59.4786002Z  * [new tag]                 viable/strict/1760845009    -> viable/strict/1760845009
2025-11-03T17:05:59.4787565Z  * [new tag]                 viable/strict/1760876836    -> viable/strict/1760876836
2025-11-03T17:05:59.4789128Z  * [new tag]                 viable/strict/1760880329    -> viable/strict/1760880329
2025-11-03T17:05:59.4790527Z  * [new tag]                 viable/strict/1760888987    -> viable/strict/1760888987
2025-11-03T17:05:59.4792025Z  * [new tag]                 viable/strict/1760912664    -> viable/strict/1760912664
2025-11-03T17:05:59.4793793Z  * [new tag]                 viable/strict/1760925321    -> viable/strict/1760925321
2025-11-03T17:05:59.4795011Z  * [new tag]                 viable/strict/1760931488    -> viable/strict/1760931488
2025-11-03T17:05:59.4796432Z  * [new tag]                 viable/strict/1760932693    -> viable/strict/1760932693
2025-11-03T17:05:59.4797975Z  * [new tag]                 viable/strict/1761004184    -> viable/strict/1761004184
2025-11-03T17:05:59.4799453Z  * [new tag]                 viable/strict/1761014748    -> viable/strict/1761014748
2025-11-03T17:05:59.4800825Z  * [new tag]                 viable/strict/1761017491    -> viable/strict/1761017491
2025-11-03T17:05:59.4802301Z  * [new tag]                 viable/strict/1761018806    -> viable/strict/1761018806
2025-11-03T17:05:59.4803734Z  * [new tag]                 viable/strict/1761020754    -> viable/strict/1761020754
2025-11-03T17:05:59.4805216Z  * [new tag]                 viable/strict/1761024303    -> viable/strict/1761024303
2025-11-03T17:05:59.4806661Z  * [new tag]                 viable/strict/1761029582    -> viable/strict/1761029582
2025-11-03T17:05:59.4808230Z  * [new tag]                 viable/strict/1761031535    -> viable/strict/1761031535
2025-11-03T17:05:59.4809647Z  * [new tag]                 viable/strict/1761035196    -> viable/strict/1761035196
2025-11-03T17:05:59.4811174Z  * [new tag]                 viable/strict/1761045825    -> viable/strict/1761045825
2025-11-03T17:05:59.4812772Z  * [new tag]                 viable/strict/1761054796    -> viable/strict/1761054796
2025-11-03T17:05:59.4814318Z  * [new tag]                 viable/strict/1761060314    -> viable/strict/1761060314
2025-11-03T17:05:59.4815873Z  * [new tag]                 viable/strict/1761071198    -> viable/strict/1761071198
2025-11-03T17:05:59.4817372Z  * [new tag]                 viable/strict/1761074628    -> viable/strict/1761074628
2025-11-03T17:05:59.4818892Z  * [new tag]                 viable/strict/1761078351    -> viable/strict/1761078351
2025-11-03T17:05:59.4820399Z  * [new tag]                 viable/strict/1761079822    -> viable/strict/1761079822
2025-11-03T17:05:59.4821781Z  * [new tag]                 viable/strict/1761081873    -> viable/strict/1761081873
2025-11-03T17:05:59.4823326Z  * [new tag]                 viable/strict/1761083392    -> viable/strict/1761083392
2025-11-03T17:05:59.4824843Z  * [new tag]                 viable/strict/1761085465    -> viable/strict/1761085465
2025-11-03T17:05:59.4826390Z  * [new tag]                 viable/strict/1761089099    -> viable/strict/1761089099
2025-11-03T17:05:59.4827838Z  * [new tag]                 viable/strict/1761095535    -> viable/strict/1761095535
2025-11-03T17:05:59.4829312Z  * [new tag]                 viable/strict/1761098119    -> viable/strict/1761098119
2025-11-03T17:05:59.4831387Z  * [new tag]                 viable/strict/1761101330    -> viable/strict/1761101330
2025-11-03T17:05:59.4833050Z  * [new tag]                 viable/strict/1761114425    -> viable/strict/1761114425
2025-11-03T17:05:59.4834674Z  * [new tag]                 viable/strict/1761116036    -> viable/strict/1761116036
2025-11-03T17:05:59.4836256Z  * [new tag]                 viable/strict/1761119379    -> viable/strict/1761119379
2025-11-03T17:05:59.4838292Z  * [new tag]                 viable/strict/1761121601    -> viable/strict/1761121601
2025-11-03T17:05:59.4839773Z  * [new tag]                 viable/strict/1761123234    -> viable/strict/1761123234
2025-11-03T17:05:59.4841228Z  * [new tag]                 viable/strict/1761126621    -> viable/strict/1761126621
2025-11-03T17:05:59.4842721Z  * [new tag]                 viable/strict/1761132259    -> viable/strict/1761132259
2025-11-03T17:05:59.4844313Z  * [new tag]                 viable/strict/1761146746    -> viable/strict/1761146746
2025-11-03T17:05:59.4845810Z  * [new tag]                 viable/strict/1761164752    -> viable/strict/1761164752
2025-11-03T17:05:59.4847258Z  * [new tag]                 viable/strict/1761166198    -> viable/strict/1761166198
2025-11-03T17:05:59.4848789Z  * [new tag]                 viable/strict/1761175424    -> viable/strict/1761175424
2025-11-03T17:05:59.4850293Z  * [new tag]                 viable/strict/1761176983    -> viable/strict/1761176983
2025-11-03T17:05:59.4851950Z  * [new tag]                 viable/strict/1761179891    -> viable/strict/1761179891
2025-11-03T17:05:59.4853421Z  * [new tag]                 viable/strict/1761181930    -> viable/strict/1761181930
2025-11-03T17:05:59.4855028Z  * [new tag]                 viable/strict/1761184516    -> viable/strict/1761184516
2025-11-03T17:05:59.4856689Z  * [new tag]                 viable/strict/1761190179    -> viable/strict/1761190179
2025-11-03T17:05:59.4858167Z  * [new tag]                 viable/strict/1761193558    -> viable/strict/1761193558
2025-11-03T17:05:59.4859657Z  * [new tag]                 viable/strict/1761207990    -> viable/strict/1761207990
2025-11-03T17:05:59.4861219Z  * [new tag]                 viable/strict/1761229539    -> viable/strict/1761229539
2025-11-03T17:05:59.4862982Z  * [new tag]                 viable/strict/1761244031    -> viable/strict/1761244031
2025-11-03T17:05:59.4864626Z  * [new tag]                 viable/strict/1761248986    -> viable/strict/1761248986
2025-11-03T17:05:59.4865764Z  * [new tag]                 viable/strict/1761259791    -> viable/strict/1761259791
2025-11-03T17:05:59.4867366Z  * [new tag]                 viable/strict/1761266139    -> viable/strict/1761266139
2025-11-03T17:05:59.4868894Z  * [new tag]                 viable/strict/1761268316    -> viable/strict/1761268316
2025-11-03T17:05:59.4870249Z  * [new tag]                 viable/strict/1761273805    -> viable/strict/1761273805
2025-11-03T17:05:59.4871736Z  * [new tag]                 viable/strict/1761275261    -> viable/strict/1761275261
2025-11-03T17:05:59.4873318Z  * [new tag]                 viable/strict/1761277913    -> viable/strict/1761277913
2025-11-03T17:05:59.4874893Z  * [new tag]                 viable/strict/1761290701    -> viable/strict/1761290701
2025-11-03T17:05:59.4876422Z  * [new tag]                 viable/strict/1761294396    -> viable/strict/1761294396
2025-11-03T17:05:59.4877893Z  * [new tag]                 viable/strict/1761303047    -> viable/strict/1761303047
2025-11-03T17:05:59.4879398Z  * [new tag]                 viable/strict/1761335388    -> viable/strict/1761335388
2025-11-03T17:05:59.4880880Z  * [new tag]                 viable/strict/1761337551    -> viable/strict/1761337551
2025-11-03T17:05:59.4882417Z  * [new tag]                 viable/strict/1761339007    -> viable/strict/1761339007
2025-11-03T17:05:59.4883922Z  * [new tag]                 viable/strict/1761341050    -> viable/strict/1761341050
2025-11-03T17:05:59.4885455Z  * [new tag]                 viable/strict/1761346188    -> viable/strict/1761346188
2025-11-03T17:05:59.4887023Z  * [new tag]                 viable/strict/1761349792    -> viable/strict/1761349792
2025-11-03T17:05:59.4888459Z  * [new tag]                 viable/strict/1761352620    -> viable/strict/1761352620
2025-11-03T17:05:59.4889772Z  * [new tag]                 viable/strict/1761354730    -> viable/strict/1761354730
2025-11-03T17:05:59.4891374Z  * [new tag]                 viable/strict/1761357298    -> viable/strict/1761357298
2025-11-03T17:05:59.4893006Z  * [new tag]                 viable/strict/1761360201    -> viable/strict/1761360201
2025-11-03T17:05:59.4894529Z  * [new tag]                 viable/strict/1761361753    -> viable/strict/1761361753
2025-11-03T17:05:59.4895999Z  * [new tag]                 viable/strict/1761364351    -> viable/strict/1761364351
2025-11-03T17:05:59.4897802Z  * [new tag]                 viable/strict/1761366338    -> viable/strict/1761366338
2025-11-03T17:05:59.4899417Z  * [new tag]                 viable/strict/1761367802    -> viable/strict/1761367802
2025-11-03T17:05:59.4900931Z  * [new tag]                 viable/strict/1761369889    -> viable/strict/1761369889
2025-11-03T17:05:59.4902348Z  * [new tag]                 viable/strict/1761371385    -> viable/strict/1761371385
2025-11-03T17:05:59.4903924Z  * [new tag]                 viable/strict/1761373581    -> viable/strict/1761373581
2025-11-03T17:05:59.4905547Z  * [new tag]                 viable/strict/1761375054    -> viable/strict/1761375054
2025-11-03T17:05:59.4907108Z  * [new tag]                 viable/strict/1761421785    -> viable/strict/1761421785
2025-11-03T17:05:59.4908737Z  * [new tag]                 viable/strict/1761434614    -> viable/strict/1761434614
2025-11-03T17:05:59.4910472Z  * [new tag]                 viable/strict/1761439254    -> viable/strict/1761439254
2025-11-03T17:05:59.4911892Z  * [new tag]                 viable/strict/1761454187    -> viable/strict/1761454187
2025-11-03T17:05:59.4913597Z  * [new tag]                 viable/strict/1761459991    -> viable/strict/1761459991
2025-11-03T17:05:59.4915151Z  * [new tag]                 viable/strict/1761470668    -> viable/strict/1761470668
2025-11-03T17:05:59.4917066Z  * [new tag]                 viable/strict/1761472188    -> viable/strict/1761472188
2025-11-03T17:05:59.4918570Z  * [new tag]                 viable/strict/1761503178    -> viable/strict/1761503178
2025-11-03T17:05:59.4920246Z  * [new tag]                 viable/strict/1761517492    -> viable/strict/1761517492
2025-11-03T17:05:59.4921658Z  * [new tag]                 viable/strict/1761518981    -> viable/strict/1761518981
2025-11-03T17:05:59.4923028Z  * [new tag]                 viable/strict/1761533609    -> viable/strict/1761533609
2025-11-03T17:05:59.4924545Z  * [new tag]                 viable/strict/1761546438    -> viable/strict/1761546438
2025-11-03T17:05:59.4925910Z  * [new tag]                 viable/strict/1761548133    -> viable/strict/1761548133
2025-11-03T17:05:59.4927299Z  * [new tag]                 viable/strict/1761555186    -> viable/strict/1761555186
2025-11-03T17:05:59.4928663Z  * [new tag]                 viable/strict/1761557178    -> viable/strict/1761557178
2025-11-03T17:05:59.4930035Z  * [new tag]                 viable/strict/1761560772    -> viable/strict/1761560772
2025-11-03T17:05:59.4931589Z  * [new tag]                 viable/strict/1761562266    -> viable/strict/1761562266
2025-11-03T17:05:59.4933287Z  * [new tag]                 viable/strict/1761564260    -> viable/strict/1761564260
2025-11-03T17:05:59.4934632Z  * [new tag]                 viable/strict/1761568072    -> viable/strict/1761568072
2025-11-03T17:05:59.4936439Z  * [new tag]                 viable/strict/1761571683    -> viable/strict/1761571683
2025-11-03T17:05:59.4937820Z  * [new tag]                 viable/strict/1761580199    -> viable/strict/1761580199
2025-11-03T17:05:59.4939167Z  * [new tag]                 viable/strict/1761587383    -> viable/strict/1761587383
2025-11-03T17:05:59.4940543Z  * [new tag]                 viable/strict/1761591165    -> viable/strict/1761591165
2025-11-03T17:05:59.4941901Z  * [new tag]                 viable/strict/1761594575    -> viable/strict/1761594575
2025-11-03T17:05:59.4943270Z  * [new tag]                 viable/strict/1761596710    -> viable/strict/1761596710
2025-11-03T17:05:59.4944673Z  * [new tag]                 viable/strict/1761598189    -> viable/strict/1761598189
2025-11-03T17:05:59.4946038Z  * [new tag]                 viable/strict/1761600254    -> viable/strict/1761600254
2025-11-03T17:05:59.4947408Z  * [new tag]                 viable/strict/1761603879    -> viable/strict/1761603879
2025-11-03T17:05:59.4948748Z  * [new tag]                 viable/strict/1761605429    -> viable/strict/1761605429
2025-11-03T17:05:59.4950132Z  * [new tag]                 viable/strict/1761607468    -> viable/strict/1761607468
2025-11-03T17:05:59.4951502Z  * [new tag]                 viable/strict/1761608983    -> viable/strict/1761608983
2025-11-03T17:05:59.4952835Z  * [new tag]                 viable/strict/1761611846    -> viable/strict/1761611846
2025-11-03T17:05:59.4954194Z  * [new tag]                 viable/strict/1761613922    -> viable/strict/1761613922
2025-11-03T17:05:59.4955659Z  * [new tag]                 viable/strict/1761616504    -> viable/strict/1761616504
2025-11-03T17:05:59.4956939Z  * [new tag]                 viable/strict/1761619599    -> viable/strict/1761619599
2025-11-03T17:05:59.4958309Z  * [new tag]                 viable/strict/1761686693    -> viable/strict/1761686693
2025-11-03T17:05:59.4959667Z  * [new tag]                 viable/strict/1761688179    -> viable/strict/1761688179
2025-11-03T17:05:59.4961044Z  * [new tag]                 viable/strict/1761691973    -> viable/strict/1761691973
2025-11-03T17:05:59.4962423Z  * [new tag]                 viable/strict/1761693884    -> viable/strict/1761693884
2025-11-03T17:05:59.4963786Z  * [new tag]                 viable/strict/1761695389    -> viable/strict/1761695389
2025-11-03T17:05:59.4965153Z  * [new tag]                 viable/strict/1761698408    -> viable/strict/1761698408
2025-11-03T17:05:59.4966524Z  * [new tag]                 viable/strict/1761702931    -> viable/strict/1761702931
2025-11-03T17:05:59.4967904Z  * [new tag]                 viable/strict/1761706307    -> viable/strict/1761706307
2025-11-03T17:05:59.4969413Z  * [new tag]                 viable/strict/1761709065    -> viable/strict/1761709065
2025-11-03T17:05:59.4971030Z  * [new tag]                 viable/strict/1761710285    -> viable/strict/1761710285
2025-11-03T17:05:59.4972408Z  * [new tag]                 viable/strict/1761711983    -> viable/strict/1761711983
2025-11-03T17:05:59.4973875Z  * [new tag]                 viable/strict/1761713514    -> viable/strict/1761713514
2025-11-03T17:05:59.4975265Z  * [new tag]                 viable/strict/1761715523    -> viable/strict/1761715523
2025-11-03T17:05:59.4976675Z  * [new tag]                 viable/strict/1761727973    -> viable/strict/1761727973
2025-11-03T17:05:59.4978242Z  * [new tag]                 viable/strict/1761751558    -> viable/strict/1761751558
2025-11-03T17:05:59.4979664Z  * [new tag]                 viable/strict/1761755187    -> viable/strict/1761755187
2025-11-03T17:05:59.4981096Z  * [new tag]                 viable/strict/1761756826    -> viable/strict/1761756826
2025-11-03T17:05:59.4982527Z  * [new tag]                 viable/strict/1761769551    -> viable/strict/1761769551
2025-11-03T17:05:59.4984000Z  * [new tag]                 viable/strict/1761771032    -> viable/strict/1761771032
2025-11-03T17:05:59.4985441Z  * [new tag]                 viable/strict/1761773101    -> viable/strict/1761773101
2025-11-03T17:05:59.4986872Z  * [new tag]                 viable/strict/1761781792    -> viable/strict/1761781792
2025-11-03T17:05:59.4988312Z  * [new tag]                 viable/strict/1761784788    -> viable/strict/1761784788
2025-11-03T17:05:59.4989734Z  * [new tag]                 viable/strict/1761786740    -> viable/strict/1761786740
2025-11-03T17:05:59.4991233Z  * [new tag]                 viable/strict/1761789332    -> viable/strict/1761789332
2025-11-03T17:05:59.4999567Z  * [new tag]                 viable/strict/1761792569    -> viable/strict/1761792569
2025-11-03T17:05:59.4999891Z  * [new tag]                 viable/strict/1761795289    -> viable/strict/1761795289
2025-11-03T17:05:59.5000077Z  * [new tag]                 viable/strict/1761798345    -> viable/strict/1761798345
2025-11-03T17:05:59.5000262Z  * [new tag]                 viable/strict/1761799827    -> viable/strict/1761799827
2025-11-03T17:05:59.5000436Z  * [new tag]                 viable/strict/1761805604    -> viable/strict/1761805604
2025-11-03T17:05:59.5000616Z  * [new tag]                 viable/strict/1761807202    -> viable/strict/1761807202
2025-11-03T17:05:59.5001088Z  * [new tag]                 viable/strict/1761809094    -> viable/strict/1761809094
2025-11-03T17:05:59.5002771Z  * [new tag]                 viable/strict/1761810576    -> viable/strict/1761810576
2025-11-03T17:05:59.5004200Z  * [new tag]                 viable/strict/1761812771    -> viable/strict/1761812771
2025-11-03T17:05:59.5005588Z  * [new tag]                 viable/strict/1761814363    -> viable/strict/1761814363
2025-11-03T17:05:59.5007028Z  * [new tag]                 viable/strict/1761857410    -> viable/strict/1761857410
2025-11-03T17:05:59.5008459Z  * [new tag]                 viable/strict/1761860985    -> viable/strict/1761860985
2025-11-03T17:05:59.5009891Z  * [new tag]                 viable/strict/1761863094    -> viable/strict/1761863094
2025-11-03T17:05:59.5011326Z  * [new tag]                 viable/strict/1761864590    -> viable/strict/1761864590
2025-11-03T17:05:59.5012817Z  * [new tag]                 viable/strict/1761866675    -> viable/strict/1761866675
2025-11-03T17:05:59.5014393Z  * [new tag]                 viable/strict/1761868178    -> viable/strict/1761868178
2025-11-03T17:05:59.5015828Z  * [new tag]                 viable/strict/1761871111    -> viable/strict/1761871111
2025-11-03T17:05:59.5017226Z  * [new tag]                 viable/strict/1761873126    -> viable/strict/1761873126
2025-11-03T17:05:59.5018694Z  * [new tag]                 viable/strict/1761875714    -> viable/strict/1761875714
2025-11-03T17:05:59.5020105Z  * [new tag]                 viable/strict/1761878924    -> viable/strict/1761878924
2025-11-03T17:05:59.5021606Z  * [new tag]                 viable/strict/1761881727    -> viable/strict/1761881727
2025-11-03T17:05:59.5023271Z  * [new tag]                 viable/strict/1761882959    -> viable/strict/1761882959
2025-11-03T17:05:59.5024680Z  * [new tag]                 viable/strict/1761886268    -> viable/strict/1761886268
2025-11-03T17:05:59.5026105Z  * [new tag]                 viable/strict/1761893641    -> viable/strict/1761893641
2025-11-03T17:05:59.5027950Z  * [new tag]                 viable/strict/1761931517    -> viable/strict/1761931517
2025-11-03T17:05:59.5029408Z  * [new tag]                 viable/strict/1761933080    -> viable/strict/1761933080
2025-11-03T17:05:59.5030809Z  * [new tag]                 viable/strict/1761935217    -> viable/strict/1761935217
2025-11-03T17:05:59.5035706Z  * [new tag]                 viable/strict/1761938533    -> viable/strict/1761938533
2025-11-03T17:05:59.5037157Z  * [new tag]                 viable/strict/1761940184    -> viable/strict/1761940184
2025-11-03T17:05:59.5038657Z  * [new tag]                 viable/strict/1761942338    -> viable/strict/1761942338
2025-11-03T17:05:59.5040051Z  * [new tag]                 viable/strict/1761946100    -> viable/strict/1761946100
2025-11-03T17:05:59.5041480Z  * [new tag]                 viable/strict/1761947374    -> viable/strict/1761947374
2025-11-03T17:05:59.5042923Z  * [new tag]                 viable/strict/1761950978    -> viable/strict/1761950978
2025-11-03T17:05:59.5044376Z  * [new tag]                 viable/strict/1761957727    -> viable/strict/1761957727
2025-11-03T17:05:59.5045787Z  * [new tag]                 viable/strict/1761959532    -> viable/strict/1761959532
2025-11-03T17:05:59.5047218Z  * [new tag]                 viable/strict/1761965366    -> viable/strict/1761965366
2025-11-03T17:05:59.5048640Z  * [new tag]                 viable/strict/1761968066    -> viable/strict/1761968066
2025-11-03T17:05:59.5050121Z  * [new tag]                 viable/strict/1761969322    -> viable/strict/1761969322
2025-11-03T17:05:59.5051552Z  * [new tag]                 viable/strict/1761974723    -> viable/strict/1761974723
2025-11-03T17:05:59.5053041Z  * [new tag]                 viable/strict/1761981837    -> viable/strict/1761981837
2025-11-03T17:05:59.5054478Z  * [new tag]                 viable/strict/1761985546    -> viable/strict/1761985546
2025-11-03T17:05:59.5055968Z  * [new tag]                 viable/strict/1761987030    -> viable/strict/1761987030
2025-11-03T17:05:59.5057343Z  * [new tag]                 viable/strict/1762003554    -> viable/strict/1762003554
2025-11-03T17:05:59.5058767Z  * [new tag]                 viable/strict/1762021560    -> viable/strict/1762021560
2025-11-03T17:05:59.5060211Z  * [new tag]                 viable/strict/1762032190    -> viable/strict/1762032190
2025-11-03T17:05:59.5061685Z  * [new tag]                 viable/strict/1762040981    -> viable/strict/1762040981
2025-11-03T17:05:59.5063134Z  * [new tag]                 viable/strict/1762048525    -> viable/strict/1762048525
2025-11-03T17:05:59.5064554Z  * [new tag]                 viable/strict/1762104223    -> viable/strict/1762104223
2025-11-03T17:05:59.5065995Z  * [new tag]                 viable/strict/1762105778    -> viable/strict/1762105778
2025-11-03T17:05:59.5067435Z  * [new tag]                 viable/strict/1762115109    -> viable/strict/1762115109
2025-11-03T17:05:59.5068858Z  * [new tag]                 viable/strict/1762125840    -> viable/strict/1762125840
2025-11-03T17:05:59.5070286Z  * [new tag]                 viable/strict/1762127377    -> viable/strict/1762127377
2025-11-03T17:05:59.5071683Z  * [new tag]                 viable/strict/1762134925    -> viable/strict/1762134925
2025-11-03T17:05:59.5073165Z  * [new tag]                 viable/strict/1762138338    -> viable/strict/1762138338
2025-11-03T17:05:59.5074684Z  * [new tag]                 viable/strict/1762148993    -> viable/strict/1762148993
2025-11-03T17:05:59.5076101Z  * [new tag]                 viable/strict/1762152871    -> viable/strict/1762152871
2025-11-03T17:05:59.5077698Z  * [new tag]                 viable/strict/1762156183    -> viable/strict/1762156183
2025-11-03T17:05:59.5079024Z  * [new tag]                 viable/strict/1762163457    -> viable/strict/1762163457
2025-11-03T17:05:59.5080522Z  * [new tag]                 viable/strict/1762165569    -> viable/strict/1762165569
2025-11-03T17:05:59.5081950Z  * [new tag]                 viable/strict/1762169035    -> viable/strict/1762169035
2025-11-03T17:05:59.5083401Z  * [new tag]                 viable/strict/1762174936    -> viable/strict/1762174936
2025-11-03T17:05:59.5084849Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-11-03T17:05:59.5086369Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-11-03T17:05:59.5088089Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-11-03T17:05:59.6264517Z [command]/usr/bin/git rev-parse --verify --quiet 3f6538febd727b782e6e13cfd026a309fb14351d^{object}
2025-11-03T17:05:59.6298642Z 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T17:05:59.6304437Z ##[endgroup]
2025-11-03T17:05:59.6304848Z ##[group]Determining the checkout info
2025-11-03T17:05:59.6305897Z ##[endgroup]
2025-11-03T17:05:59.6310971Z [command]/usr/bin/git sparse-checkout disable
2025-11-03T17:05:59.6356483Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-11-03T17:05:59.6390861Z ##[group]Checking out the ref
2025-11-03T17:05:59.6394656Z [command]/usr/bin/git checkout --progress --force 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T17:06:00.6647548Z Updating files:  67% (13602/20004)
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2025-11-03T17:06:01.3624411Z Updating files: 100% (20004/20004), done.
2025-11-03T17:06:01.3908910Z Note: switching to '3f6538febd727b782e6e13cfd026a309fb14351d'.
2025-11-03T17:06:01.3909337Z 
2025-11-03T17:06:01.3909597Z You are in 'detached HEAD' state. You can look around, make experimental
2025-11-03T17:06:01.3910120Z changes and commit them, and you can discard any commits you make in this
2025-11-03T17:06:01.3910861Z state without impacting any branches by switching back to a branch.
2025-11-03T17:06:01.3911175Z 
2025-11-03T17:06:01.3911370Z If you want to create a new branch to retain commits you create, you may
2025-11-03T17:06:01.3911848Z do so (now or later) by using -c with the switch command. Example:
2025-11-03T17:06:01.3912136Z 
2025-11-03T17:06:01.3912245Z   git switch -c <new-branch-name>
2025-11-03T17:06:01.3912437Z 
2025-11-03T17:06:01.3912547Z Or undo this operation with:
2025-11-03T17:06:01.3912715Z 
2025-11-03T17:06:01.3912813Z   git switch -
2025-11-03T17:06:01.3912935Z 
2025-11-03T17:06:01.3913158Z Turn off this advice by setting config variable advice.detachedHead to false
2025-11-03T17:06:01.3913499Z 
2025-11-03T17:06:01.3915127Z HEAD is now at 3f6538febd7 Remove tools from BC linter (#166858)
2025-11-03T17:06:01.4095311Z ##[endgroup]
2025-11-03T17:06:01.4095737Z ##[group]Setting up auth for fetching submodules
2025-11-03T17:06:01.4102513Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-11-03T17:06:01.4163680Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-11-03T17:06:01.4200594Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-11-03T17:06:01.4236208Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-11-03T17:06:01.4268417Z ##[endgroup]
2025-11-03T17:06:01.4268929Z ##[group]Fetching submodules
2025-11-03T17:06:01.4272059Z [command]/usr/bin/git submodule sync --recursive
2025-11-03T17:06:01.4703262Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-11-03T17:06:01.5107538Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-11-03T17:06:01.5108979Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-11-03T17:06:01.5113039Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-11-03T17:06:01.5116781Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-11-03T17:06:01.5120473Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-11-03T17:06:01.5124808Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-11-03T17:06:01.5128522Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-11-03T17:06:01.5133253Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-11-03T17:06:01.5137456Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-11-03T17:06:01.5141877Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-11-03T17:06:01.5146190Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-11-03T17:06:01.5150634Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-11-03T17:06:01.5155382Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-11-03T17:06:01.5159971Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-11-03T17:06:01.5164553Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-11-03T17:06:01.5170823Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-11-03T17:06:01.5179059Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-11-03T17:06:01.5183637Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-11-03T17:06:01.5188771Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-11-03T17:06:01.5193602Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-11-03T17:06:01.5198854Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-11-03T17:06:01.5203851Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-11-03T17:06:01.5209049Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-11-03T17:06:01.5214466Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-11-03T17:06:01.5219844Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-11-03T17:06:01.5225297Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-11-03T17:06:01.5230784Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-11-03T17:06:01.5237091Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-11-03T17:06:01.5242919Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-11-03T17:06:01.5248462Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-11-03T17:06:01.5254567Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-11-03T17:06:01.5260441Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-11-03T17:06:01.5266453Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-11-03T17:06:01.5275849Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-11-03T17:06:01.5282043Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-11-03T17:06:01.5288165Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-11-03T17:06:01.5294732Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-11-03T17:06:01.5336355Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-11-03T17:06:01.8292939Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-11-03T17:06:01.8293664Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-11-03T17:06:01.8295151Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-11-03T17:06:01.8338361Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-11-03T17:06:05.3242406Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-11-03T17:06:05.3243663Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-11-03T17:06:05.3244838Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-11-03T17:06:05.3245816Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-11-03T17:06:05.3246790Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-11-03T17:06:05.3247851Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-11-03T17:06:05.3248886Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-11-03T17:06:05.3249911Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-11-03T17:06:05.3250894Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-11-03T17:06:05.3251933Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-11-03T17:06:05.3253131Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-11-03T17:06:05.3254161Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-11-03T17:06:05.3255170Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-11-03T17:06:05.3256167Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-11-03T17:06:05.3257106Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-11-03T17:06:05.3258080Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-11-03T17:06:05.3259213Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-11-03T17:06:05.3260385Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-11-03T17:06:05.3261494Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-11-03T17:06:05.4244636Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-11-03T17:06:05.8783425Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-11-03T17:06:05.8784806Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-11-03T17:06:05.9793388Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-11-03T17:06:17.5528928Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-11-03T17:06:17.5530307Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-11-03T17:06:17.5531511Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-11-03T17:06:17.5532514Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-11-03T17:06:17.5533501Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-11-03T17:06:17.5534484Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-11-03T17:06:17.6530663Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-11-03T17:06:23.2010762Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-11-03T17:06:23.2011566Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-11-03T17:06:23.2229389Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-11-03T17:06:23.2405002Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-11-03T17:06:23.2545899Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-11-03T17:06:23.2892423Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-11-03T17:06:23.3864159Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-11-03T17:06:23.4523155Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-11-03T17:06:24.4294428Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-11-03T17:06:24.6368263Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-11-03T17:06:24.6396324Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T17:06:24.6432474Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-11-03T17:06:28.7593363Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-11-03T17:06:28.7916584Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-11-03T17:06:29.2506588Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-11-03T17:06:29.3120137Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246'
2025-11-03T17:06:29.4305907Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
2025-11-03T17:06:29.4916144Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396'
2025-11-03T17:06:30.3067478Z Submodule path 'third_party/cutlass': checked out 'f3fde58372d33e9a5650ba7b80fc48b3b49d40c8'
2025-11-03T17:06:30.5036906Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4'
2025-11-03T17:06:30.5068919Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-11-03T17:06:30.5072203Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-11-03T17:06:30.5076028Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-11-03T17:06:30.5080058Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-11-03T17:06:30.5084345Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-11-03T17:06:30.5088511Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-11-03T17:06:30.5092816Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-11-03T17:06:30.5128375Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-11-03T17:06:31.8540812Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-11-03T17:06:31.8542119Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-11-03T17:06:31.8543410Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-11-03T17:06:31.9542760Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-11-03T17:06:35.0123931Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-11-03T17:06:35.1124106Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-11-03T17:06:38.4982079Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-11-03T17:06:38.9567054Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-11-03T17:06:39.0780067Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-11-03T17:06:39.8890951Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8'
2025-11-03T17:06:39.9464291Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T17:06:39.9628066Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-11-03T17:06:40.0973829Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-11-03T17:06:40.1925809Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-11-03T17:06:40.1952955Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T17:06:40.1955712Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-11-03T17:06:40.1990287Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-11-03T17:06:43.9341331Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-11-03T17:06:44.2687807Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-11-03T17:06:44.9800761Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-11-03T17:06:45.1661910Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-11-03T17:06:45.2041973Z Submodule path 'third_party/fmt': checked out 'e424e3f2e607da02742f73db84873b8084fc714c'
2025-11-03T17:06:45.2528967Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-11-03T17:06:45.2887825Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-11-03T17:06:45.3449951Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T17:06:45.3636958Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-11-03T17:06:45.3661151Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-11-03T17:06:45.3700145Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-11-03T17:07:02.4359001Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-11-03T17:07:02.4639856Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-11-03T17:07:02.5668744Z Submodule path 'third_party/kineto': checked out '6fcbc53d33dd275c0aba1e5d7701d471b7f6eeb3'
2025-11-03T17:07:02.5696397Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T17:07:02.5699239Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T17:07:02.5703359Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T17:07:02.5740110Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-11-03T17:07:03.7314052Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-11-03T17:07:04.1462703Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-11-03T17:07:04.2555033Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-11-03T17:07:04.2581005Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T17:07:04.2585591Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T17:07:04.2590753Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T17:07:04.2595200Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T17:07:04.2599823Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T17:07:04.2604549Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T17:07:04.2609067Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T17:07:04.2613701Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T17:07:04.2618556Z 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'
2025-11-03T17:07:04.2655210Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-11-03T17:07:06.1098479Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-11-03T17:07:06.1100292Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'...
2025-11-03T17:07:06.1102048Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-11-03T17:07:06.1104074Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-11-03T17:07:06.1105776Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-11-03T17:07:06.1107561Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-11-03T17:07:06.1109302Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-11-03T17:07:06.2100028Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-11-03T17:07:12.5756833Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-11-03T17:07:12.6014786Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-11-03T17:07:12.6480511Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-11-03T17:07:12.6672796Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-11-03T17:07:12.6697786Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T17:07:12.6734897Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-11-03T17:07:12.9927683Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-11-03T17:07:13.0172523Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-11-03T17:07:13.0739158Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T17:07:13.1997979Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-11-03T17:07:13.2228219Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-11-03T17:07:13.2478122Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-11-03T17:07:13.2503813Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T17:07:13.2506594Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T17:07:13.2546659Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-11-03T17:07:15.9676989Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'...
2025-11-03T17:07:16.2634167Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-11-03T17:07:16.3216478Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-11-03T17:07:16.3625541Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-11-03T17:07:16.4186709Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T17:07:16.4901978Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe'
2025-11-03T17:07:16.5414926Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-11-03T17:07:16.6854806Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-11-03T17:07:17.3001482Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-11-03T17:07:17.3046997Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-11-03T17:07:17.3082452Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-11-03T17:07:18.4979897Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-11-03T17:07:18.5965843Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-11-03T17:07:18.5994725Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T17:07:18.5996777Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T17:07:18.6000831Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T17:07:18.6004856Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T17:07:18.6009081Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T17:07:18.6013356Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T17:07:18.6017592Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T17:07:18.6021833Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T17:07:18.6059675Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-11-03T17:07:19.1008917Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-11-03T17:07:19.1010249Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-11-03T17:07:19.1011544Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-11-03T17:07:19.1012672Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-11-03T17:07:19.2010429Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-11-03T17:07:19.7820077Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-11-03T17:07:27.3591013Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-11-03T17:07:27.9867489Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
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2025-11-03T17:07:35.8708973Z ##[endgroup]
2025-11-03T17:07:35.8709392Z ##[group]Persisting credentials for submodules
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2025-11-03T17:07:36.5789416Z [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"
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2025-11-03T17:07:37.2848489Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config	remote.origin.url
2025-11-03T17:07:37.2876102Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T17:07:37.2952356Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config	remote.origin.url
2025-11-03T17:07:37.3001001Z Entering 'third_party/pocketfft'
2025-11-03T17:07:37.3075518Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
2025-11-03T17:07:37.3101819Z Entering 'third_party/protobuf'
2025-11-03T17:07:37.3176456Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config	remote.origin.url
2025-11-03T17:07:37.3203671Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T17:07:37.3278681Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
2025-11-03T17:07:37.3303175Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T17:07:37.3376028Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
2025-11-03T17:07:37.3406627Z Entering 'third_party/psimd'
2025-11-03T17:07:37.3481181Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2025-11-03T17:07:37.3506012Z Entering 'third_party/pthreadpool'
2025-11-03T17:07:37.3579317Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
2025-11-03T17:07:37.3603804Z Entering 'third_party/pybind11'
2025-11-03T17:07:37.3677661Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
2025-11-03T17:07:37.3704196Z Entering 'third_party/python-peachpy'
2025-11-03T17:07:37.3779416Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config	remote.origin.url
2025-11-03T17:07:37.3802821Z Entering 'third_party/sleef'
2025-11-03T17:07:37.3878327Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config	remote.origin.url
2025-11-03T17:07:37.3904833Z Entering 'third_party/tensorpipe'
2025-11-03T17:07:37.3979126Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
2025-11-03T17:07:37.4002486Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T17:07:37.4075608Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2025-11-03T17:07:37.4102346Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T17:07:37.4176371Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2025-11-03T17:07:37.4199976Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T17:07:37.4278323Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2025-11-03T17:07:37.4301119Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T17:07:37.4373696Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2025-11-03T17:07:37.4395732Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T17:07:37.4468394Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2025-11-03T17:07:37.5613288Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-11-03T17:07:37.6022659Z Entering 'android/libs/fbjni'
2025-11-03T17:07:37.6084452Z Entering 'third_party/FP16'
2025-11-03T17:07:37.6147470Z Entering 'third_party/FXdiv'
2025-11-03T17:07:37.6207284Z Entering 'third_party/NNPACK'
2025-11-03T17:07:37.6271438Z Entering 'third_party/NVTX'
2025-11-03T17:07:37.6334776Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T17:07:37.6395694Z Entering 'third_party/XNNPACK'
2025-11-03T17:07:37.6471258Z Entering 'third_party/aiter'
2025-11-03T17:07:37.6532963Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T17:07:37.6605529Z Entering 'third_party/benchmark'
2025-11-03T17:07:37.6667206Z Entering 'third_party/composable_kernel'
2025-11-03T17:07:37.6738164Z Entering 'third_party/cpp-httplib'
2025-11-03T17:07:37.6800465Z Entering 'third_party/cpuinfo'
2025-11-03T17:07:37.6861763Z Entering 'third_party/cudnn_frontend'
2025-11-03T17:07:37.6923054Z Entering 'third_party/cutlass'
2025-11-03T17:07:37.6998133Z Entering 'third_party/fbgemm'
2025-11-03T17:07:37.7060916Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T17:07:37.7119677Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T17:07:37.7194051Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T17:07:37.7252323Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T17:07:37.7319685Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T17:07:37.7379724Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T17:07:37.7438895Z Entering 'third_party/fbgemm/external/json'
2025-11-03T17:07:37.7503125Z Entering 'third_party/flash-attention'
2025-11-03T17:07:37.7564775Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T17:07:37.7628605Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T17:07:37.7699465Z Entering 'third_party/flatbuffers'
2025-11-03T17:07:37.7764330Z Entering 'third_party/fmt'
2025-11-03T17:07:37.7825623Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T17:07:37.7886066Z Entering 'third_party/gloo'
2025-11-03T17:07:37.7947022Z Entering 'third_party/googletest'
2025-11-03T17:07:37.8006970Z Entering 'third_party/ideep'
2025-11-03T17:07:37.8065709Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T17:07:37.8134715Z Entering 'third_party/ittapi'
2025-11-03T17:07:37.8195891Z Entering 'third_party/kineto'
2025-11-03T17:07:37.8256941Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T17:07:37.8315061Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T17:07:37.8376618Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T17:07:37.8436058Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T17:07:37.8495979Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T17:07:37.8552437Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T17:07:37.8616129Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T17:07:37.8674797Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T17:07:37.8733920Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T17:07:37.8793785Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T17:07:37.8854229Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T17:07:37.8911393Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T17:07:37.8975125Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T17:07:37.9045766Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T17:07:37.9107471Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T17:07:37.9170109Z Entering 'third_party/kleidiai'
2025-11-03T17:07:37.9232611Z Entering 'third_party/mimalloc'
2025-11-03T17:07:37.9295517Z Entering 'third_party/nlohmann'
2025-11-03T17:07:37.9359286Z Entering 'third_party/onnx'
2025-11-03T17:07:37.9436267Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T17:07:37.9502298Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T17:07:37.9563469Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T17:07:37.9627458Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T17:07:37.9685478Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T17:07:37.9742378Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T17:07:37.9800604Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T17:07:37.9864211Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T17:07:37.9923835Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T17:07:37.9982720Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T17:07:38.0041694Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T17:07:38.0105762Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T17:07:38.0187830Z Entering 'third_party/pocketfft'
2025-11-03T17:07:38.0251589Z Entering 'third_party/protobuf'
2025-11-03T17:07:38.0314151Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T17:07:38.0372493Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T17:07:38.0443004Z Entering 'third_party/psimd'
2025-11-03T17:07:38.0505042Z Entering 'third_party/pthreadpool'
2025-11-03T17:07:38.0565902Z Entering 'third_party/pybind11'
2025-11-03T17:07:38.0626090Z Entering 'third_party/python-peachpy'
2025-11-03T17:07:38.0686739Z Entering 'third_party/sleef'
2025-11-03T17:07:38.0747267Z Entering 'third_party/tensorpipe'
2025-11-03T17:07:38.0807976Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T17:07:38.0868351Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T17:07:38.0926618Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T17:07:38.0986332Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T17:07:38.1041112Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T17:07:38.1133566Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-11-03T17:07:38.1545808Z Entering 'android/libs/fbjni'
2025-11-03T17:07:38.1607131Z Entering 'third_party/FP16'
2025-11-03T17:07:38.1673205Z Entering 'third_party/FXdiv'
2025-11-03T17:07:38.1738573Z Entering 'third_party/NNPACK'
2025-11-03T17:07:38.1798541Z Entering 'third_party/NVTX'
2025-11-03T17:07:38.1861261Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T17:07:38.1921353Z Entering 'third_party/XNNPACK'
2025-11-03T17:07:38.2004331Z Entering 'third_party/aiter'
2025-11-03T17:07:38.2063307Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T17:07:38.2135027Z Entering 'third_party/benchmark'
2025-11-03T17:07:38.2198685Z Entering 'third_party/composable_kernel'
2025-11-03T17:07:38.2270365Z Entering 'third_party/cpp-httplib'
2025-11-03T17:07:38.2335224Z Entering 'third_party/cpuinfo'
2025-11-03T17:07:38.2398096Z Entering 'third_party/cudnn_frontend'
2025-11-03T17:07:38.2460534Z Entering 'third_party/cutlass'
2025-11-03T17:07:38.2533125Z Entering 'third_party/fbgemm'
2025-11-03T17:07:38.2593292Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T17:07:38.2654973Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T17:07:38.2721256Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T17:07:38.2943540Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T17:07:38.3010479Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T17:07:38.3072105Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T17:07:38.3128910Z Entering 'third_party/fbgemm/external/json'
2025-11-03T17:07:38.3198167Z Entering 'third_party/flash-attention'
2025-11-03T17:07:38.3263952Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T17:07:38.3332308Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T17:07:38.3408527Z Entering 'third_party/flatbuffers'
2025-11-03T17:07:38.3476963Z Entering 'third_party/fmt'
2025-11-03T17:07:38.3538504Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T17:07:38.3598169Z Entering 'third_party/gloo'
2025-11-03T17:07:38.3659285Z Entering 'third_party/googletest'
2025-11-03T17:07:38.3720524Z Entering 'third_party/ideep'
2025-11-03T17:07:38.3778655Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T17:07:38.3845502Z Entering 'third_party/ittapi'
2025-11-03T17:07:38.3907951Z Entering 'third_party/kineto'
2025-11-03T17:07:38.3970133Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T17:07:38.4028125Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T17:07:38.4088897Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T17:07:38.4147819Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T17:07:38.4209552Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T17:07:38.4266027Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T17:07:38.4331020Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T17:07:38.4391470Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T17:07:38.4451210Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T17:07:38.4511917Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T17:07:38.4571140Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T17:07:38.4627951Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T17:07:38.4691656Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T17:07:38.4758041Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T17:07:38.4815223Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T17:07:38.4881053Z Entering 'third_party/kleidiai'
2025-11-03T17:07:38.4945007Z Entering 'third_party/mimalloc'
2025-11-03T17:07:38.5003084Z Entering 'third_party/nlohmann'
2025-11-03T17:07:38.5067108Z Entering 'third_party/onnx'
2025-11-03T17:07:38.5145013Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T17:07:38.5211155Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T17:07:38.5274202Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T17:07:38.5333596Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T17:07:38.5389674Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T17:07:38.5447602Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T17:07:38.5505986Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T17:07:38.5563088Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T17:07:38.5620057Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T17:07:38.5676710Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T17:07:38.5738815Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T17:07:38.5802141Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T17:07:38.5884137Z Entering 'third_party/pocketfft'
2025-11-03T17:07:38.5945387Z Entering 'third_party/protobuf'
2025-11-03T17:07:38.6007520Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T17:07:38.6066533Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T17:07:38.6128501Z Entering 'third_party/psimd'
2025-11-03T17:07:38.6189741Z Entering 'third_party/pthreadpool'
2025-11-03T17:07:38.6250092Z Entering 'third_party/pybind11'
2025-11-03T17:07:38.6312871Z Entering 'third_party/python-peachpy'
2025-11-03T17:07:38.6378132Z Entering 'third_party/sleef'
2025-11-03T17:07:38.6438363Z Entering 'third_party/tensorpipe'
2025-11-03T17:07:38.6498143Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T17:07:38.6556337Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T17:07:38.6613655Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T17:07:38.6672787Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T17:07:38.6735036Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T17:07:38.6821323Z ##[endgroup]
2025-11-03T17:07:38.6870781Z [command]/usr/bin/git log -1 --format=%H
2025-11-03T17:07:38.6904723Z 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T17:07:38.7045730Z ##[group]Run cd "${GITHUB_WORKSPACE}"
2025-11-03T17:07:38.7046063Z cd "${GITHUB_WORKSPACE}"
2025-11-03T17:07:38.7046366Z # Clean stale submodule dirs
2025-11-03T17:07:38.7046664Z if [ -z "${NO_SUDO}" ]; then
2025-11-03T17:07:38.7047030Z   sudo git submodule foreach --recursive git clean -ffdx
2025-11-03T17:07:38.7047393Z else
2025-11-03T17:07:38.7047677Z   git submodule foreach --recursive git clean -ffdx
2025-11-03T17:07:38.7048013Z fi
2025-11-03T17:07:38.7059178Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:07:38.7059548Z env:
2025-11-03T17:07:38.7059754Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:07:38.7059994Z   NO_SUDO: true
2025-11-03T17:07:38.7060210Z ##[endgroup]
2025-11-03T17:07:38.7493074Z Entering 'android/libs/fbjni'
2025-11-03T17:07:38.7540576Z Entering 'third_party/FP16'
2025-11-03T17:07:38.7586419Z Entering 'third_party/FXdiv'
2025-11-03T17:07:38.7632477Z Entering 'third_party/NNPACK'
2025-11-03T17:07:38.7684220Z Entering 'third_party/NVTX'
2025-11-03T17:07:38.7739108Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T17:07:38.7787333Z Entering 'third_party/XNNPACK'
2025-11-03T17:07:38.7945929Z Entering 'third_party/aiter'
2025-11-03T17:07:38.8004316Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T17:07:38.8155578Z Entering 'third_party/benchmark'
2025-11-03T17:07:38.8203921Z Entering 'third_party/composable_kernel'
2025-11-03T17:07:38.8367574Z Entering 'third_party/cpp-httplib'
2025-11-03T17:07:38.8416964Z Entering 'third_party/cpuinfo'
2025-11-03T17:07:38.8469781Z Entering 'third_party/cudnn_frontend'
2025-11-03T17:07:38.8520911Z Entering 'third_party/cutlass'
2025-11-03T17:07:38.8655332Z Entering 'third_party/fbgemm'
2025-11-03T17:07:38.8740081Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T17:07:38.8785459Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T17:07:38.8944213Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T17:07:38.8993483Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T17:07:38.9125211Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T17:07:38.9171809Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T17:07:38.9213797Z Entering 'third_party/fbgemm/external/json'
2025-11-03T17:07:38.9278783Z Entering 'third_party/flash-attention'
2025-11-03T17:07:38.9337711Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T17:07:38.9469765Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T17:07:38.9588199Z Entering 'third_party/flatbuffers'
2025-11-03T17:07:38.9688021Z Entering 'third_party/fmt'
2025-11-03T17:07:38.9736104Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T17:07:38.9788924Z Entering 'third_party/gloo'
2025-11-03T17:07:38.9840225Z Entering 'third_party/googletest'
2025-11-03T17:07:38.9889716Z Entering 'third_party/ideep'
2025-11-03T17:07:38.9933353Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T17:07:39.0045403Z Entering 'third_party/ittapi'
2025-11-03T17:07:39.0095330Z Entering 'third_party/kineto'
2025-11-03T17:07:39.0146900Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T17:07:39.0199995Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T17:07:39.0264824Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T17:07:39.0310282Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T17:07:39.0359938Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T17:07:39.0402704Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T17:07:39.0449665Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T17:07:39.0495787Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T17:07:39.0544729Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T17:07:39.0601532Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T17:07:39.0655729Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T17:07:39.0700982Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T17:07:39.0769534Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T17:07:39.0827817Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T17:07:39.0873188Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T17:07:39.0923887Z Entering 'third_party/kleidiai'
2025-11-03T17:07:39.0987387Z Entering 'third_party/mimalloc'
2025-11-03T17:07:39.1037712Z Entering 'third_party/nlohmann'
2025-11-03T17:07:39.1101639Z Entering 'third_party/onnx'
2025-11-03T17:07:39.1563566Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T17:07:39.1617436Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T17:07:39.1699586Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T17:07:39.1744727Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T17:07:39.1795480Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T17:07:39.1838876Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T17:07:39.1897151Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T17:07:39.1941485Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T17:07:39.1985852Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T17:07:39.2035173Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T17:07:39.2102128Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T17:07:39.2154177Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T17:07:39.2512187Z Entering 'third_party/pocketfft'
2025-11-03T17:07:39.2558156Z Entering 'third_party/protobuf'
2025-11-03T17:07:39.2667323Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T17:07:39.2712133Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T17:07:39.2766144Z Entering 'third_party/psimd'
2025-11-03T17:07:39.2810652Z Entering 'third_party/pthreadpool'
2025-11-03T17:07:39.2857539Z Entering 'third_party/pybind11'
2025-11-03T17:07:39.2909218Z Entering 'third_party/python-peachpy'
2025-11-03T17:07:39.2956977Z Entering 'third_party/sleef'
2025-11-03T17:07:39.3006873Z Entering 'third_party/tensorpipe'
2025-11-03T17:07:39.3057193Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T17:07:39.3107566Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T17:07:39.3152813Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T17:07:39.3202071Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T17:07:39.3244092Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T17:07:39.3418211Z Prepare all required actions
2025-11-03T17:07:39.3418723Z Getting action download info
2025-11-03T17:07:39.5392878Z ##[group]Run ./.github/actions/setup-linux
2025-11-03T17:07:39.5393185Z env:
2025-11-03T17:07:39.5393388Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:07:39.5393620Z ##[endgroup]
2025-11-03T17:07:39.5452266Z ##[group]Run set -euo pipefail
2025-11-03T17:07:39.5452671Z set -euo pipefail
2025-11-03T17:07:39.5452951Z function get_ec2_metadata() {
2025-11-03T17:07:39.5453307Z   # Pulled from instance metadata endpoint for EC2
2025-11-03T17:07:39.5454077Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-11-03T17:07:39.5454611Z   category=$1
2025-11-03T17:07:39.5454947Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-11-03T17:07:39.5455358Z   runner_name_str=i-0c691f31c933d48d6
2025-11-03T17:07:39.5455698Z   if [[ -f /.inarc ]]; then
2025-11-03T17:07:39.5456024Z     echo "ARC Runner, no info on ec2 metadata"
2025-11-03T17:07:39.5456392Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-11-03T17:07:39.5456834Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-11-03T17:07:39.5457242Z   else
2025-11-03T17:07:39.5458057Z     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}"
2025-11-03T17:07:39.5458932Z   fi
2025-11-03T17:07:39.5459128Z }
2025-11-03T17:07:39.5459382Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-11-03T17:07:39.5459786Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-11-03T17:07:39.5460242Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-11-03T17:07:39.5460645Z echo "system info $(uname -a)"
2025-11-03T17:07:39.5469977Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:07:39.5470331Z env:
2025-11-03T17:07:39.5470541Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:07:39.5470792Z ##[endgroup]
2025-11-03T17:07:39.5665914Z ami-id: ami-08982f1c5bf93d976
2025-11-03T17:07:39.5790849Z instance-id: i-0c691f31c933d48d6
2025-11-03T17:07:39.5939845Z instance-type: g5.4xlarge
2025-11-03T17:07:39.5955750Z system info Linux ip-10-0-74-174.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
2025-11-03T17:07:39.5989431Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-11-03T17:07:39.5989883Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-11-03T17:07:39.6000166Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:07:39.6000517Z env:
2025-11-03T17:07:39.6000725Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:07:39.6000979Z ##[endgroup]
2025-11-03T17:07:41.2087956Z Mon Nov  3 17:07:41 2025       
2025-11-03T17:07:41.2088557Z +-----------------------------------------------------------------------------------------+
2025-11-03T17:07:41.2089297Z | NVIDIA-SMI 580.82.07              Driver Version: 580.82.07      CUDA Version: 13.0     |
2025-11-03T17:07:41.2090055Z +-----------------------------------------+------------------------+----------------------+
2025-11-03T17:07:41.2090810Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-11-03T17:07:41.2091618Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-11-03T17:07:41.2092266Z |                                         |                        |               MIG M. |
2025-11-03T17:07:41.2092907Z |=========================================+========================+======================|
2025-11-03T17:07:41.2186124Z |   0  NVIDIA A10G                    Off |   00000000:00:1E.0 Off |                    0 |
2025-11-03T17:07:41.2186911Z |  0%   26C    P0             52W /  300W |       0MiB /  23028MiB |      3%      Default |
2025-11-03T17:07:41.2187319Z |                                         |                        |                  N/A |
2025-11-03T17:07:41.2187730Z +-----------------------------------------+------------------------+----------------------+
2025-11-03T17:07:41.2188042Z 
2025-11-03T17:07:41.2188230Z +-----------------------------------------------------------------------------------------+
2025-11-03T17:07:41.2188677Z | Processes:                                                                              |
2025-11-03T17:07:41.2189270Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-11-03T17:07:41.2189696Z |        ID   ID                                                               Usage      |
2025-11-03T17:07:41.2190053Z |=========================================================================================|
2025-11-03T17:07:41.2191670Z |  No running processes found                                                             |
2025-11-03T17:07:41.2192215Z +-----------------------------------------------------------------------------------------+
2025-11-03T17:07:41.6528769Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T17:07:41.6529686Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T17:07:41.6544860Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:07:41.6545233Z env:
2025-11-03T17:07:41.6545429Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:07:41.6545675Z ##[endgroup]
2025-11-03T17:07:41.6618471Z ##[group]Run if systemctl is-active --quiet docker; then
2025-11-03T17:07:41.6618886Z if systemctl is-active --quiet docker; then
2025-11-03T17:07:41.6619248Z     echo "Docker daemon is running...";
2025-11-03T17:07:41.6619568Z else
2025-11-03T17:07:41.6619894Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-11-03T17:07:41.6620305Z fi
2025-11-03T17:07:41.6629257Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:07:41.6629611Z env:
2025-11-03T17:07:41.6629805Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:07:41.6630052Z ##[endgroup]
2025-11-03T17:07:41.6732341Z Docker daemon is running...
2025-11-03T17:07:41.6791388Z ##[group]Run nick-fields/retry@v3.0.0
2025-11-03T17:07:41.6791674Z with:
2025-11-03T17:07:41.6791874Z   shell: bash
2025-11-03T17:07:41.6792077Z   timeout_minutes: 5
2025-11-03T17:07:41.6792300Z   max_attempts: 3
2025-11-03T17:07:41.6792519Z   retry_wait_seconds: 30
2025-11-03T17:07:41.6794708Z   command: AWS_ACCOUNT_ID=$(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

2025-11-03T17:07:41.6796903Z   polling_interval_seconds: 1
2025-11-03T17:07:41.6797170Z   warning_on_retry: true
2025-11-03T17:07:41.6797404Z   continue_on_error: false
2025-11-03T17:07:41.6797634Z env:
2025-11-03T17:07:41.6797841Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:07:41.6798086Z   AWS_RETRY_MODE: standard
2025-11-03T17:07:41.6798323Z   AWS_MAX_ATTEMPTS: 5
2025-11-03T17:07:41.6798560Z   AWS_DEFAULT_REGION: us-east-1
2025-11-03T17:07:41.6798814Z ##[endgroup]
2025-11-03T17:07:42.8476822Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T17:07:42.8477895Z Configure a credential helper to remove this warning. See
2025-11-03T17:07:42.8478624Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T17:07:42.8479128Z 
2025-11-03T17:07:42.8479271Z Login Succeeded
2025-11-03T17:07:43.7691550Z Command completed after 1 attempt(s).
2025-11-03T17:07:43.7770868Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T17:07:43.7771363Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T17:07:43.7771796Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T17:07:43.7782320Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:07:43.7782675Z env:
2025-11-03T17:07:43.7782883Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:07:43.7783135Z ##[endgroup]
2025-11-03T17:07:43.7933923Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T17:07:43.7934461Z # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T17:07:43.7934870Z # shellcheck disable=SC2046
2025-11-03T17:07:43.7935189Z docker stop $(docker ps -q) || true
2025-11-03T17:07:43.7935515Z # Prune all of the docker images
2025-11-03T17:07:43.7935822Z docker system prune -af
2025-11-03T17:07:43.7944736Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:07:43.7945093Z env:
2025-11-03T17:07:43.7945298Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:07:43.7945554Z ##[endgroup]
2025-11-03T17:07:43.8243278Z "docker stop" requires at least 1 argument.
2025-11-03T17:07:43.8243667Z See 'docker stop --help'.
2025-11-03T17:07:43.8243858Z 
2025-11-03T17:07:43.8244014Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-11-03T17:07:43.8244278Z 
2025-11-03T17:07:43.8244382Z Stop one or more running containers
2025-11-03T17:07:43.8490235Z Total reclaimed space: 0B
2025-11-03T17:07:43.8687881Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-11-03T17:07:43.8688334Z with:
2025-11-03T17:07:43.8689241Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:07:43.8690257Z   use-custom-docker-registry: true
2025-11-03T17:07:43.8690561Z   docker-build-dir: .ci/docker
2025-11-03T17:07:43.8690855Z   docker-build-script: ./build.sh
2025-11-03T17:07:43.8691139Z   working-directory: .
2025-11-03T17:07:43.8691477Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T17:07:43.8691869Z   force-push: false
2025-11-03T17:07:43.8692100Z env:
2025-11-03T17:07:43.8692298Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:07:43.8692612Z ##[endgroup]
2025-11-03T17:07:43.8735636Z ##[group]Run set -ex
2025-11-03T17:07:43.8735915Z set -ex
2025-11-03T17:07:43.8736123Z 
2025-11-03T17:07:43.8736517Z # If the docker build directory or the build script doesn't exist, the action will
2025-11-03T17:07:43.8737146Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-11-03T17:07:43.8737674Z # job could then download the pre-built image as usual
2025-11-03T17:07:43.8738319Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-11-03T17:07:43.8738929Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-11-03T17:07:43.8739250Z else
2025-11-03T17:07:43.8739493Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-11-03T17:07:43.8739914Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-11-03T17:07:43.8740304Z 
2025-11-03T17:07:43.8740827Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-11-03T17:07:43.8741430Z   exit 0
2025-11-03T17:07:43.8741643Z fi
2025-11-03T17:07:43.8741837Z 
2025-11-03T17:07:43.8742152Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-11-03T17:07:43.8742717Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-11-03T17:07:43.8743221Z   # use it as it is, but first let's extract the tag
2025-11-03T17:07:43.8743678Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-11-03T17:07:43.8744149Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-11-03T17:07:43.8744609Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-11-03T17:07:43.8745149Z else
2025-11-03T17:07:43.8745401Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-11-03T17:07:43.8745754Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-11-03T17:07:43.8746129Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-11-03T17:07:43.8746451Z   fi
2025-11-03T17:07:43.8746877Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-11-03T17:07:43.8747463Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-11-03T17:07:43.8748076Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-11-03T17:07:43.8748739Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-11-03T17:07:43.8749145Z fi
2025-11-03T17:07:43.8758196Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:07:43.8758564Z env:
2025-11-03T17:07:43.8758765Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:07:43.8759028Z   REPO_NAME: pytorch
2025-11-03T17:07:43.8760125Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:07:43.8761110Z   DOCKER_BUILD_DIR: .ci/docker
2025-11-03T17:07:43.8761380Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-11-03T17:07:43.8761751Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T17:07:43.8762143Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-11-03T17:07:43.8762433Z   CUSTOM_TAG_PREFIX: 
2025-11-03T17:07:43.8762665Z ##[endgroup]
2025-11-03T17:07:43.8793503Z + [[ -d .ci/docker ]]
2025-11-03T17:07:43.8793766Z + [[ -f .ci/docker/./build.sh ]]
2025-11-03T17:07:43.8794036Z + [[ true == \t\r\u\e ]]
2025-11-03T17:07:43.8794270Z + echo skip=false
2025-11-03T17:07:43.8795653Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c == *\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* ]]
2025-11-03T17:07:43.8803031Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:07:43.8804066Z ++ awk -F '[:,]' '{print $2}'
2025-11-03T17:07:43.8833269Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:07:43.8834406Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:07:43.8835801Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:07:43.8869211Z ##[group]Run set +e
2025-11-03T17:07:43.8869483Z set +e
2025-11-03T17:07:43.8869691Z set -x
2025-11-03T17:07:43.8869900Z 
2025-11-03T17:07:43.8870084Z login() {
2025-11-03T17:07:43.8870547Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-11-03T17:07:43.8871040Z }
2025-11-03T17:07:43.8871227Z 
2025-11-03T17:07:43.8871411Z retry () {
2025-11-03T17:07:43.8871664Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-11-03T17:07:43.8871969Z }
2025-11-03T17:07:43.8872158Z 
2025-11-03T17:07:43.8872369Z retry login "${DOCKER_REGISTRY}"
2025-11-03T17:07:43.8872655Z 
2025-11-03T17:07:43.8872847Z START_TIME=$(date +%s)
2025-11-03T17:07:43.8873126Z # Wait up to 120 minutes
2025-11-03T17:07:43.8873467Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-11-03T17:07:43.8874109Z   # Check if image already exists, if it does then skip building it
2025-11-03T17:07:43.8874561Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-11-03T17:07:43.8874901Z     exit 0
2025-11-03T17:07:43.8875120Z   fi
2025-11-03T17:07:43.8875328Z 
2025-11-03T17:07:43.8875675Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-11-03T17:07:43.8876307Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-11-03T17:07:43.8876927Z   # latter, it will wait for the Docker images to become available before continuing
2025-11-03T17:07:43.8877418Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-11-03T17:07:43.8877795Z     # It's a Docker build job, let's build the image
2025-11-03T17:07:43.8878113Z     break
2025-11-03T17:07:43.8878323Z   else
2025-11-03T17:07:43.8878639Z     # It's a regular build job, wait for the image to become available
2025-11-03T17:07:43.8879036Z     sleep 300
2025-11-03T17:07:43.8879266Z   fi
2025-11-03T17:07:43.8879456Z done
2025-11-03T17:07:43.8879652Z 
2025-11-03T17:07:43.8880138Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-11-03T17:07:43.8880671Z # be empty.  The default action would be to continue rebuild the image
2025-11-03T17:07:43.8881142Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-11-03T17:07:43.8881558Z   # if we're on the base branch then use the parent commit
2025-11-03T17:07:43.8881933Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-11-03T17:07:43.8882231Z else
2025-11-03T17:07:43.8882524Z   # otherwise we're on a PR, so use the most recent base commit
2025-11-03T17:07:43.8882966Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-11-03T17:07:43.8883309Z fi
2025-11-03T17:07:43.8883499Z 
2025-11-03T17:07:43.8883725Z if [[ -z "${MERGE_BASE}" ]]; then
2025-11-03T17:07:43.8884081Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-11-03T17:07:43.8884390Z 
2025-11-03T17:07:43.8884823Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-11-03T17:07:43.8885337Z   exit 0
2025-11-03T17:07:43.8885536Z fi
2025-11-03T17:07:43.8885732Z 
2025-11-03T17:07:43.8886008Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-11-03T17:07:43.8886651Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-11-03T17:07:43.8887200Z   exit 1
2025-11-03T17:07:43.8887398Z fi
2025-11-03T17:07:43.8887587Z 
2025-11-03T17:07:43.8887920Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-11-03T17:07:43.8888544Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-11-03T17:07:43.8889089Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-11-03T17:07:43.8889731Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-11-03T17:07:43.8890454Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-11-03T17:07:43.8890885Z fi
2025-11-03T17:07:43.8891081Z 
2025-11-03T17:07:43.8891314Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-11-03T17:07:43.8899859Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:07:43.8900214Z env:
2025-11-03T17:07:43.8900422Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:07:43.8900674Z   DOCKER_BUILD_DIR: .ci/docker
2025-11-03T17:07:43.8901002Z   BASE_REVISION: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T17:07:43.8902117Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:07:43.8903497Z   DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:07:43.8904317Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T17:07:43.8904687Z   DOCKER_PUSH: 
2025-11-03T17:07:43.8904902Z ##[endgroup]
2025-11-03T17:07:43.8937020Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T17:07:43.8937448Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T17:07:43.8940246Z + aws ecr get-login-password --region us-east-1
2025-11-03T17:07:43.8942138Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T17:07:44.4254644Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T17:07:44.4255477Z Configure a credential helper to remove this warning. See
2025-11-03T17:07:44.4256163Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T17:07:44.4256647Z 
2025-11-03T17:07:44.4256785Z Login Succeeded
2025-11-03T17:07:44.4283919Z ++ date +%s
2025-11-03T17:07:44.4298088Z + START_TIME=1762189664
2025-11-03T17:07:44.4301975Z ++ date +%s
2025-11-03T17:07:44.4314413Z + [[ 1762182464 -lt 1762189664 ]]
2025-11-03T17:07:44.4315434Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:07:44.6587866Z {
2025-11-03T17:07:44.6588292Z 	"schemaVersion": 2,
2025-11-03T17:07:44.6588870Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-11-03T17:07:44.6589475Z 	"config": {
2025-11-03T17:07:44.6589795Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-11-03T17:07:44.6590210Z 		"size": 33022,
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2025-11-03T17:07:44.6591064Z 	},
2025-11-03T17:07:44.6591247Z 	"layers": [
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2025-11-03T17:07:44.6593380Z 		},
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2025-11-03T17:07:44.6595799Z 		},
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2025-11-03T17:07:44.6597933Z 		},
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2025-11-03T17:07:44.6598415Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-11-03T17:07:44.6599651Z 		},
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2025-11-03T17:07:44.6600118Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6600514Z 			"size": 106,
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2025-11-03T17:07:44.6601363Z 		},
2025-11-03T17:07:44.6601531Z 		{
2025-11-03T17:07:44.6601841Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6602232Z 			"size": 703,
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2025-11-03T17:07:44.6603365Z 		},
2025-11-03T17:07:44.6603531Z 		{
2025-11-03T17:07:44.6603833Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6604234Z 			"size": 1213,
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2025-11-03T17:07:44.6605073Z 		},
2025-11-03T17:07:44.6605248Z 		{
2025-11-03T17:07:44.6605547Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6605932Z 			"size": 484,
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2025-11-03T17:07:44.6606913Z 		},
2025-11-03T17:07:44.6607084Z 		{
2025-11-03T17:07:44.6607378Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6607772Z 			"size": 110361810,
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2025-11-03T17:07:44.6608641Z 		},
2025-11-03T17:07:44.6608812Z 		{
2025-11-03T17:07:44.6609108Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-11-03T17:07:44.6610511Z 		},
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2025-11-03T17:07:44.6610978Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-11-03T17:07:44.6612230Z 		},
2025-11-03T17:07:44.6612397Z 		{
2025-11-03T17:07:44.6612800Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6613194Z 			"size": 724,
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2025-11-03T17:07:44.6614051Z 		},
2025-11-03T17:07:44.6614224Z 		{
2025-11-03T17:07:44.6614528Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6614988Z 			"size": 542,
2025-11-03T17:07:44.6615394Z 			"digest": "sha256:aabb993efa0703b01374abe2def849bcd2f447e80cdb54c74e9d7b3087a3da33"
2025-11-03T17:07:44.6615853Z 		},
2025-11-03T17:07:44.6616025Z 		{
2025-11-03T17:07:44.6616328Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-11-03T17:07:44.6630884Z 		},
2025-11-03T17:07:44.6631126Z 		{
2025-11-03T17:07:44.6631774Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6632186Z 			"size": 32,
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2025-11-03T17:07:44.6633073Z 		},
2025-11-03T17:07:44.6633249Z 		{
2025-11-03T17:07:44.6633558Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6633950Z 			"size": 380,
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2025-11-03T17:07:44.6634823Z 		},
2025-11-03T17:07:44.6634995Z 		{
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2025-11-03T17:07:44.6711666Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6712055Z 			"size": 32,
2025-11-03T17:07:44.6712441Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T17:07:44.6712899Z 		},
2025-11-03T17:07:44.6713061Z 		{
2025-11-03T17:07:44.6713359Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6713745Z 			"size": 136,
2025-11-03T17:07:44.6714132Z 			"digest": "sha256:7c2ccea1d6ea81253d615cb3207d8b57db88e9d14d55f0093f6c85ec3e40a62f"
2025-11-03T17:07:44.6714596Z 		},
2025-11-03T17:07:44.6714762Z 		{
2025-11-03T17:07:44.6715069Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6715453Z 			"size": 527,
2025-11-03T17:07:44.6715844Z 			"digest": "sha256:8ee906cf47cf3bf9f043c014ba90f03e346c911ad084b4c013ca3b6a1e280913"
2025-11-03T17:07:44.6716300Z 		},
2025-11-03T17:07:44.6716470Z 		{
2025-11-03T17:07:44.6716770Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6717150Z 			"size": 32,
2025-11-03T17:07:44.6717538Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T17:07:44.6718000Z 		},
2025-11-03T17:07:44.6718168Z 		{
2025-11-03T17:07:44.6718460Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6718849Z 			"size": 104,
2025-11-03T17:07:44.6719232Z 			"digest": "sha256:4a2c4eb59be9068f84b4d24c7ed233166fd495e9c12a99059bb6642e02855dcd"
2025-11-03T17:07:44.6719690Z 		},
2025-11-03T17:07:44.6719862Z 		{
2025-11-03T17:07:44.6720169Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6720561Z 			"size": 427,
2025-11-03T17:07:44.6720940Z 			"digest": "sha256:676faa3a327200fa42e16209fc9514db2027a0495ba537140cbd663772576581"
2025-11-03T17:07:44.6721394Z 		},
2025-11-03T17:07:44.6721563Z 		{
2025-11-03T17:07:44.6721862Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6722252Z 			"size": 32,
2025-11-03T17:07:44.6722633Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T17:07:44.6723090Z 		},
2025-11-03T17:07:44.6723258Z 		{
2025-11-03T17:07:44.6723554Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6723939Z 			"size": 109,
2025-11-03T17:07:44.6724311Z 			"digest": "sha256:5082b32589d083f2138c191650c145fc4948492247f99631c8cdefc71c709cac"
2025-11-03T17:07:44.6724753Z 		},
2025-11-03T17:07:44.6724920Z 		{
2025-11-03T17:07:44.6725213Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6725692Z 			"size": 1897,
2025-11-03T17:07:44.6726083Z 			"digest": "sha256:f3a3f5f042788fdb5e0748195a9cb877d529cc2b0dc7b3d8b1577dbfcddfd9d0"
2025-11-03T17:07:44.6726536Z 		},
2025-11-03T17:07:44.6726702Z 		{
2025-11-03T17:07:44.6726996Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6727387Z 			"size": 245117298,
2025-11-03T17:07:44.6727796Z 			"digest": "sha256:a41c1b206b88af93e8fcf1a327ca9d60bc7db3cb2ec61f3c271ae2b166d09492"
2025-11-03T17:07:44.6728256Z 		},
2025-11-03T17:07:44.6728426Z 		{
2025-11-03T17:07:44.6728721Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6729107Z 			"size": 106,
2025-11-03T17:07:44.6729484Z 			"digest": "sha256:3108315b2733e51e250f18ccb6db8c35571959504dbe696f6224565694b65505"
2025-11-03T17:07:44.6729927Z 		},
2025-11-03T17:07:44.6730100Z 		{
2025-11-03T17:07:44.6730413Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6730804Z 			"size": 164,
2025-11-03T17:07:44.6731370Z 			"digest": "sha256:30763b9dbb825f0f7031d6c97da06e5291c5a913e8fa90517a2ff63f9ade00e5"
2025-11-03T17:07:44.6731887Z 		},
2025-11-03T17:07:44.6732059Z 		{
2025-11-03T17:07:44.6732498Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6732944Z 			"size": 7944,
2025-11-03T17:07:44.6733349Z 			"digest": "sha256:cd5dd27bb1be851c900118c67cf3bbcad6bed9a11b15e0e84b5466d3db198b5a"
2025-11-03T17:07:44.6733817Z 		},
2025-11-03T17:07:44.6733988Z 		{
2025-11-03T17:07:44.6734295Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6734689Z 			"size": 8068,
2025-11-03T17:07:44.6735086Z 			"digest": "sha256:696894ef584d39f5400b99d002a72d2e71092c666addbc0f0431e7246d763da2"
2025-11-03T17:07:44.6735530Z 		},
2025-11-03T17:07:44.6735701Z 		{
2025-11-03T17:07:44.6736001Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6736399Z 			"size": 305,
2025-11-03T17:07:44.6736770Z 			"digest": "sha256:966128f700b4f2f0ffd8e98946f587d21595d556a91f3e3f9a3428ed85ece0f9"
2025-11-03T17:07:44.6737228Z 		},
2025-11-03T17:07:44.6737400Z 		{
2025-11-03T17:07:44.6737712Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6738092Z 			"size": 13362559,
2025-11-03T17:07:44.6738497Z 			"digest": "sha256:4645a43790f0db5482ccf61e39f14a31eba5ec91ec474ea0ae03babac4b33254"
2025-11-03T17:07:44.6738957Z 		},
2025-11-03T17:07:44.6739131Z 		{
2025-11-03T17:07:44.6739432Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6739817Z 			"size": 108,
2025-11-03T17:07:44.6740215Z 			"digest": "sha256:ea1bd369b074cfaf1fd1a3ee42ca535d406e805bfb95e49bc2a5eeb19d7477e7"
2025-11-03T17:07:44.6740679Z 		},
2025-11-03T17:07:44.6740845Z 		{
2025-11-03T17:07:44.6741146Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6741537Z 			"size": 54145699,
2025-11-03T17:07:44.6741937Z 			"digest": "sha256:02123d6281c63aeddc7ac5112b07e5b893461345c08804db6917c38b275001e8"
2025-11-03T17:07:44.6742384Z 		},
2025-11-03T17:07:44.6742553Z 		{
2025-11-03T17:07:44.6742850Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T17:07:44.6743242Z 			"size": 32,
2025-11-03T17:07:44.6743629Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T17:07:44.6744090Z 		}
2025-11-03T17:07:44.6744267Z 	]
2025-11-03T17:07:44.6744435Z }
2025-11-03T17:07:44.6744610Z + exit 0
2025-11-03T17:07:44.6789034Z ##[group]Run set -eux
2025-11-03T17:07:44.6789289Z set -eux
2025-11-03T17:07:44.6789670Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-11-03T17:07:44.6790760Z 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
2025-11-03T17:07:44.6800871Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:07:44.6801231Z env:
2025-11-03T17:07:44.6801425Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:07:44.6801676Z ##[endgroup]
2025-11-03T17:07:44.6837417Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-11-03T17:07:44.6838168Z + jq --raw-output .SecretString
2025-11-03T17:07:44.6840341Z + jq -r .docker_hub_readonly_token
2025-11-03T17:07:44.6841184Z + docker login --username pytorchbot --password-stdin
2025-11-03T17:07:45.2605918Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T17:07:45.2606487Z Configure a credential helper to remove this warning. See
2025-11-03T17:07:45.2607022Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T17:07:45.2607396Z 
2025-11-03T17:07:45.2609531Z Login Succeeded
2025-11-03T17:07:45.2711822Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-11-03T17:07:45.2712194Z tag=${ECR_DOCKER_IMAGE##*:}
2025-11-03T17:07:45.2712565Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-11-03T17:07:45.2721573Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:07:45.2721931Z env:
2025-11-03T17:07:45.2722132Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:07:45.2723064Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:07:45.2724011Z ##[endgroup]
2025-11-03T17:07:45.2757968Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:07:45.2815204Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-11-03T17:07:45.2815616Z with:
2025-11-03T17:07:45.2816491Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:07:45.2817552Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T17:07:45.2817921Z env:
2025-11-03T17:07:45.2818121Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:07:45.2818372Z ##[endgroup]
2025-11-03T17:07:45.2843003Z ##[group]Run set -x
2025-11-03T17:07:45.2843262Z set -x
2025-11-03T17:07:45.2843470Z set +e
2025-11-03T17:07:45.2843675Z 
2025-11-03T17:07:45.2843857Z login() {
2025-11-03T17:07:45.2844335Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-11-03T17:07:45.2844838Z }
2025-11-03T17:07:45.2845032Z 
2025-11-03T17:07:45.2845246Z retry () {
2025-11-03T17:07:45.2845500Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-11-03T17:07:45.2845790Z }
2025-11-03T17:07:45.2845981Z 
2025-11-03T17:07:45.2846197Z retry login "${DOCKER_REGISTRY}"
2025-11-03T17:07:45.2846487Z 
2025-11-03T17:07:45.2846936Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-11-03T17:07:45.2847563Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-11-03T17:07:45.2847909Z 
2025-11-03T17:07:45.2848095Z set -e
2025-11-03T17:07:45.2848406Z # ignore output since only exit code is used for conditional
2025-11-03T17:07:45.2848864Z # only pull docker image if it's not available locally
2025-11-03T17:07:45.2849374Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-11-03T17:07:45.2849852Z   retry docker pull "${DOCKER_IMAGE}"
2025-11-03T17:07:45.2850153Z fi
2025-11-03T17:07:45.2859110Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:07:45.2859455Z env:
2025-11-03T17:07:45.2859652Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:07:45.2860730Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:07:45.2861765Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T17:07:45.2862123Z ##[endgroup]
2025-11-03T17:07:45.2892666Z + set +e
2025-11-03T17:07:45.2893076Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T17:07:45.2893494Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T17:07:45.2897278Z + aws ecr get-login-password --region us-east-1
2025-11-03T17:07:45.2897893Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T17:07:45.8012989Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T17:07:45.8013565Z Configure a credential helper to remove this warning. See
2025-11-03T17:07:45.8014098Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T17:07:45.8014502Z 
2025-11-03T17:07:45.8014632Z Login Succeeded
2025-11-03T17:07:45.8047445Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:07:45.8048632Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-11-03T17:07:45.9997851Z + IMAGE_SIZE=37157.78709602356
2025-11-03T17:07:45.9998314Z Compressed size of image in MB: 37157.78709602356
2025-11-03T17:07:45.9998852Z + echo 'Compressed size of image in MB: 37157.78709602356'
2025-11-03T17:07:45.9999326Z + set -e
2025-11-03T17:07:46.0000871Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:07:46.0154461Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:07:46.0156168Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:07:46.2404009Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c: Pulling from pytorch/ci-image
2025-11-03T17:07:46.2405233Z 828c1365039a: Pulling fs layer
2025-11-03T17:07:46.2405636Z bf856f8f6b68: Pulling fs layer
2025-11-03T17:07:46.2406024Z 8caee0b8eec6: Pulling fs layer
2025-11-03T17:07:46.2406399Z d5a42ecef073: Pulling fs layer
2025-11-03T17:07:46.2406802Z ac103629b0b6: Pulling fs layer
2025-11-03T17:07:46.2407182Z 0f920c9dfd21: Pulling fs layer
2025-11-03T17:07:46.2407559Z daa78ad01320: Pulling fs layer
2025-11-03T17:07:46.2407917Z c06cccdb642c: Pulling fs layer
2025-11-03T17:07:46.2408287Z 1de716034d10: Pulling fs layer
2025-11-03T17:07:46.2408668Z 3109e847fc62: Pulling fs layer
2025-11-03T17:07:46.2409043Z e7b79cd9c97b: Pulling fs layer
2025-11-03T17:07:46.2409407Z ef1f9c111b71: Pulling fs layer
2025-11-03T17:07:46.2409780Z aabb993efa07: Pulling fs layer
2025-11-03T17:07:46.2410152Z 70ee976f40cc: Pulling fs layer
2025-11-03T17:07:46.2410519Z 4f4fb700ef54: Pulling fs layer
2025-11-03T17:07:46.2410863Z d5a42ecef073: Waiting
2025-11-03T17:07:46.2411191Z 458a2d9b3555: Pulling fs layer
2025-11-03T17:07:46.2411554Z 238c3883759f: Pulling fs layer
2025-11-03T17:07:46.2411924Z bbb0d1bfa218: Pulling fs layer
2025-11-03T17:07:46.2412270Z ac103629b0b6: Waiting
2025-11-03T17:07:46.2412704Z 1f4a8897329e: Pulling fs layer
2025-11-03T17:07:46.2413061Z 1de716034d10: Waiting
2025-11-03T17:07:46.2413394Z 027d35298bc0: Pulling fs layer
2025-11-03T17:07:46.2413789Z 299986847f6f: Pulling fs layer
2025-11-03T17:07:46.2414147Z fae2dbc917fe: Pulling fs layer
2025-11-03T17:07:46.2414502Z e7b79cd9c97b: Waiting
2025-11-03T17:07:46.2414858Z c06cccdb642c: Waiting
2025-11-03T17:07:46.2416013Z ef1f9c111b71: Waiting
2025-11-03T17:07:46.2416329Z 8c64cb56683f: Pulling fs layer
2025-11-03T17:07:46.2416696Z 40f09fc73552: Pulling fs layer
2025-11-03T17:07:46.2417044Z daa78ad01320: Waiting
2025-11-03T17:07:46.2417368Z e034dcbd672d: Pulling fs layer
2025-11-03T17:07:46.2417723Z 7800acc6eb42: Pulling fs layer
2025-11-03T17:07:46.2418082Z 5d7154d34b33: Pulling fs layer
2025-11-03T17:07:46.2418442Z 34b574e1478c: Pulling fs layer
2025-11-03T17:07:46.2418794Z 3109e847fc62: Waiting
2025-11-03T17:07:46.2419016Z 1c08b776693e: Pulling fs layer
2025-11-03T17:07:46.2419263Z 70ee976f40cc: Waiting
2025-11-03T17:07:46.2419493Z cb55866ccc98: Pulling fs layer
2025-11-03T17:07:46.2419758Z cd51fa48914f: Pulling fs layer
2025-11-03T17:07:46.2420012Z 09599b568418: Pulling fs layer
2025-11-03T17:07:46.2420257Z aabb993efa07: Waiting
2025-11-03T17:07:46.2420496Z ef48c03dbb3f: Pulling fs layer
2025-11-03T17:07:46.2420762Z 30cf785509b5: Pulling fs layer
2025-11-03T17:07:46.2421057Z 1c08b776693e: Waiting
2025-11-03T17:07:46.2421338Z 94bf85e74c9f: Pulling fs layer
2025-11-03T17:07:46.2421767Z 34b574e1478c: Waiting
2025-11-03T17:07:46.2421993Z cb55866ccc98: Waiting
2025-11-03T17:07:46.2422213Z 1f4a8897329e: Waiting
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2025-11-03T17:07:46.2423319Z fae2dbc917fe: Waiting
2025-11-03T17:07:46.2423556Z 9c722226fb43: Pulling fs layer
2025-11-03T17:07:46.2423813Z 40f09fc73552: Waiting
2025-11-03T17:07:46.2424042Z e034dcbd672d: Waiting
2025-11-03T17:07:46.2424278Z ef48c03dbb3f: Waiting
2025-11-03T17:07:46.2424520Z b005ef6042ce: Pulling fs layer
2025-11-03T17:07:46.2424803Z 79bef51e7668: Pulling fs layer
2025-11-03T17:07:46.2425337Z 1cc62d921597: Pulling fs layer
2025-11-03T17:07:46.2425613Z f412c98d4b13: Pulling fs layer
2025-11-03T17:07:46.2425871Z 7800acc6eb42: Waiting
2025-11-03T17:07:46.2426100Z 5d7154d34b33: Waiting
2025-11-03T17:07:46.2426324Z 09599b568418: Waiting
2025-11-03T17:07:46.2426567Z e246dc1a68bd: Pulling fs layer
2025-11-03T17:07:46.2426830Z e27ccbd10579: Pulling fs layer
2025-11-03T17:07:46.2427293Z 65c0d6648bb3: Pulling fs layer
2025-11-03T17:07:46.2427555Z 30cf785509b5: Waiting
2025-11-03T17:07:46.2427816Z bbb0d1bfa218: Waiting
2025-11-03T17:07:46.2428039Z 94bf85e74c9f: Waiting
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2025-11-03T17:07:46.2428493Z 79bef51e7668: Waiting
2025-11-03T17:07:46.2428757Z 05a1d9f708a8: Pulling fs layer
2025-11-03T17:07:46.2429274Z 9c722226fb43: Waiting
2025-11-03T17:07:46.2429515Z 36a699ce2465: Pulling fs layer
2025-11-03T17:07:46.2429775Z 299986847f6f: Waiting
2025-11-03T17:07:46.2430006Z c20e35303bd8: Pulling fs layer
2025-11-03T17:07:46.2430437Z 65c0d6648bb3: Waiting
2025-11-03T17:07:46.2430675Z 1cc62d921597: Waiting
2025-11-03T17:07:46.2430906Z e27ccbd10579: Waiting
2025-11-03T17:07:46.2431137Z f9ff787a7d43: Pulling fs layer
2025-11-03T17:07:46.2431592Z f412c98d4b13: Waiting
2025-11-03T17:07:46.2431821Z e246dc1a68bd: Waiting
2025-11-03T17:07:46.2432047Z 05a1d9f708a8: Waiting
2025-11-03T17:07:46.2432272Z c20e35303bd8: Waiting
2025-11-03T17:07:46.2432508Z 42f7bbed84f7: Pulling fs layer
2025-11-03T17:07:46.2432767Z 238c3883759f: Waiting
2025-11-03T17:07:46.2432999Z 42f7bbed84f7: Waiting
2025-11-03T17:07:46.2433233Z 061c5f68f7b6: Pulling fs layer
2025-11-03T17:07:46.2433508Z 372e31e1b978: Pulling fs layer
2025-11-03T17:07:46.2433768Z 061c5f68f7b6: Waiting
2025-11-03T17:07:46.2434002Z 372e31e1b978: Waiting
2025-11-03T17:07:46.2434232Z 3db702670077: Pulling fs layer
2025-11-03T17:07:46.2434492Z 027d35298bc0: Waiting
2025-11-03T17:07:46.2434739Z 36a699ce2465: Waiting
2025-11-03T17:07:46.2434988Z cd51fa48914f: Waiting
2025-11-03T17:07:46.2435217Z b878f4bc0357: Pulling fs layer
2025-11-03T17:07:46.2435485Z 3db702670077: Waiting
2025-11-03T17:07:46.2435733Z 79a09bf1786a: Pulling fs layer
2025-11-03T17:07:46.2436006Z 7c2ccea1d6ea: Pulling fs layer
2025-11-03T17:07:46.2436267Z 458a2d9b3555: Waiting
2025-11-03T17:07:46.2436555Z b878f4bc0357: Waiting
2025-11-03T17:07:46.2436798Z 8ee906cf47cf: Pulling fs layer
2025-11-03T17:07:46.2437275Z 4a2c4eb59be9: Pulling fs layer
2025-11-03T17:07:46.2437528Z 79a09bf1786a: Waiting
2025-11-03T17:07:46.2437981Z 676faa3a3272: Pulling fs layer
2025-11-03T17:07:46.2438237Z 676faa3a3272: Waiting
2025-11-03T17:07:46.2438473Z 5082b32589d0: Pulling fs layer
2025-11-03T17:07:46.2438722Z 4a2c4eb59be9: Waiting
2025-11-03T17:07:46.2438966Z f3a3f5f04278: Pulling fs layer
2025-11-03T17:07:46.2439432Z a41c1b206b88: Pulling fs layer
2025-11-03T17:07:46.2439706Z 3108315b2733: Pulling fs layer
2025-11-03T17:07:46.2439962Z 30763b9dbb82: Pulling fs layer
2025-11-03T17:07:46.2440215Z 5082b32589d0: Waiting
2025-11-03T17:07:46.2440455Z cd5dd27bb1be: Pulling fs layer
2025-11-03T17:07:46.2440718Z f3a3f5f04278: Waiting
2025-11-03T17:07:46.2440933Z a41c1b206b88: Waiting
2025-11-03T17:07:46.2441152Z 3108315b2733: Waiting
2025-11-03T17:07:46.2441380Z 696894ef584d: Pulling fs layer
2025-11-03T17:07:46.2441627Z 30763b9dbb82: Waiting
2025-11-03T17:07:46.2441841Z cd5dd27bb1be: Waiting
2025-11-03T17:07:46.2442081Z 966128f700b4: Pulling fs layer
2025-11-03T17:07:46.2442337Z 4645a43790f0: Pulling fs layer
2025-11-03T17:07:46.2442580Z 696894ef584d: Waiting
2025-11-03T17:07:46.2442803Z ea1bd369b074: Pulling fs layer
2025-11-03T17:07:46.2443059Z 966128f700b4: Waiting
2025-11-03T17:07:46.2443393Z 7c2ccea1d6ea: Waiting
2025-11-03T17:07:46.2443625Z 02123d6281c6: Pulling fs layer
2025-11-03T17:07:46.2443865Z 02123d6281c6: Waiting
2025-11-03T17:07:46.2444082Z 4645a43790f0: Waiting
2025-11-03T17:07:46.3188991Z bf856f8f6b68: Download complete
2025-11-03T17:07:46.3879501Z d5a42ecef073: Verifying Checksum
2025-11-03T17:07:46.3879846Z d5a42ecef073: Download complete
2025-11-03T17:07:46.4816624Z ac103629b0b6: Download complete
2025-11-03T17:07:46.5629196Z 0f920c9dfd21: Verifying Checksum
2025-11-03T17:07:46.5629644Z 0f920c9dfd21: Download complete
2025-11-03T17:07:46.6283998Z 828c1365039a: Verifying Checksum
2025-11-03T17:07:46.6284307Z 828c1365039a: Download complete
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2025-11-03T17:07:46.7125714Z c06cccdb642c: Verifying Checksum
2025-11-03T17:07:46.7126213Z c06cccdb642c: Download complete
2025-11-03T17:07:46.8084312Z 3109e847fc62: Verifying Checksum
2025-11-03T17:07:46.8084705Z 3109e847fc62: Download complete
2025-11-03T17:07:46.8843720Z e7b79cd9c97b: Verifying Checksum
2025-11-03T17:07:46.8844116Z e7b79cd9c97b: Download complete
2025-11-03T17:07:46.9744847Z ef1f9c111b71: Download complete
2025-11-03T17:07:47.0430991Z aabb993efa07: Verifying Checksum
2025-11-03T17:07:47.0431566Z aabb993efa07: Download complete
2025-11-03T17:07:47.8001608Z 1de716034d10: Verifying Checksum
2025-11-03T17:07:47.8002088Z 1de716034d10: Download complete
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2025-11-03T17:07:47.8735220Z 828c1365039a: Pull complete
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2025-11-03T17:07:48.4471849Z 238c3883759f: Verifying Checksum
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2025-11-03T17:07:48.6239326Z 1f4a8897329e: Verifying Checksum
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2025-11-03T17:07:48.8675615Z fae2dbc917fe: Verifying Checksum
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2025-11-03T17:07:50.0678430Z 34b574e1478c: Verifying Checksum
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2025-11-03T17:07:54.6991947Z 1c08b776693e: Download complete
2025-11-03T17:07:54.7749909Z cb55866ccc98: Verifying Checksum
2025-11-03T17:07:54.7750319Z cb55866ccc98: Download complete
2025-11-03T17:07:54.8456703Z cd51fa48914f: Verifying Checksum
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2025-11-03T17:07:55.2890543Z 30cf785509b5: Verifying Checksum
2025-11-03T17:07:55.2890895Z 30cf785509b5: Download complete
2025-11-03T17:07:55.3756852Z 94bf85e74c9f: Verifying Checksum
2025-11-03T17:07:55.3757202Z 94bf85e74c9f: Download complete
2025-11-03T17:07:55.4621167Z 9c722226fb43: Download complete
2025-11-03T17:07:55.5473422Z b005ef6042ce: Verifying Checksum
2025-11-03T17:07:55.5473771Z b005ef6042ce: Download complete
2025-11-03T17:07:55.6248742Z 79bef51e7668: Verifying Checksum
2025-11-03T17:07:55.6249098Z 79bef51e7668: Download complete
2025-11-03T17:07:55.7388279Z 1cc62d921597: Verifying Checksum
2025-11-03T17:07:55.7388770Z 1cc62d921597: Download complete
2025-11-03T17:07:59.3739374Z 8caee0b8eec6: Pull complete
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2025-11-03T17:08:19.1329679Z 70ee976f40cc: Verifying Checksum
2025-11-03T17:08:19.1330033Z 70ee976f40cc: Download complete
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2025-11-03T17:08:19.2340133Z e246dc1a68bd: Download complete
2025-11-03T17:08:19.3184565Z e27ccbd10579: Verifying Checksum
2025-11-03T17:08:19.3185006Z e27ccbd10579: Download complete
2025-11-03T17:08:19.3906999Z 65c0d6648bb3: Verifying Checksum
2025-11-03T17:08:19.3907289Z 65c0d6648bb3: Download complete
2025-11-03T17:08:25.9662335Z 05a1d9f708a8: Verifying Checksum
2025-11-03T17:08:25.9662803Z 05a1d9f708a8: Download complete
2025-11-03T17:10:12.1058520Z 40f09fc73552: Verifying Checksum
2025-11-03T17:10:12.1058936Z 40f09fc73552: Download complete
2025-11-03T17:10:12.2026158Z c20e35303bd8: Verifying Checksum
2025-11-03T17:10:12.2026490Z c20e35303bd8: Download complete
2025-11-03T17:10:12.2839734Z f9ff787a7d43: Verifying Checksum
2025-11-03T17:10:12.2841477Z f9ff787a7d43: Download complete
2025-11-03T17:10:12.3884143Z 42f7bbed84f7: Verifying Checksum
2025-11-03T17:10:12.3884484Z 42f7bbed84f7: Download complete
2025-11-03T17:10:12.4630907Z 061c5f68f7b6: Download complete
2025-11-03T17:10:12.5595815Z 372e31e1b978: Verifying Checksum
2025-11-03T17:10:12.5596151Z 372e31e1b978: Download complete
2025-11-03T17:10:12.6307924Z 3db702670077: Verifying Checksum
2025-11-03T17:10:12.6308356Z 3db702670077: Download complete
2025-11-03T17:10:12.7937875Z 79a09bf1786a: Verifying Checksum
2025-11-03T17:10:12.7938302Z 79a09bf1786a: Download complete
2025-11-03T17:10:12.8825600Z 7c2ccea1d6ea: Verifying Checksum
2025-11-03T17:10:12.8826012Z 7c2ccea1d6ea: Download complete
2025-11-03T17:10:12.9744415Z 8ee906cf47cf: Verifying Checksum
2025-11-03T17:10:12.9744904Z 8ee906cf47cf: Download complete
2025-11-03T17:10:13.0769695Z 4a2c4eb59be9: Verifying Checksum
2025-11-03T17:10:13.0770029Z 4a2c4eb59be9: Download complete
2025-11-03T17:10:13.1376828Z 676faa3a3272: Verifying Checksum
2025-11-03T17:10:13.1377636Z 676faa3a3272: Download complete
2025-11-03T17:10:13.2402083Z 5082b32589d0: Verifying Checksum
2025-11-03T17:10:13.2402413Z 5082b32589d0: Download complete
2025-11-03T17:10:13.3516049Z f3a3f5f04278: Download complete
2025-11-03T17:10:19.7840480Z a41c1b206b88: Verifying Checksum
2025-11-03T17:10:19.7840935Z a41c1b206b88: Download complete
2025-11-03T17:10:19.8823116Z 3108315b2733: Download complete
2025-11-03T17:10:19.9604229Z 30763b9dbb82: Verifying Checksum
2025-11-03T17:10:19.9604658Z 30763b9dbb82: Download complete
2025-11-03T17:10:20.0407876Z cd5dd27bb1be: Verifying Checksum
2025-11-03T17:10:20.0408299Z cd5dd27bb1be: Download complete
2025-11-03T17:10:20.1295610Z 696894ef584d: Verifying Checksum
2025-11-03T17:10:20.1296021Z 696894ef584d: Download complete
2025-11-03T17:10:20.2008089Z 966128f700b4: Verifying Checksum
2025-11-03T17:10:20.2008428Z 966128f700b4: Download complete
2025-11-03T17:10:20.6367967Z 4645a43790f0: Verifying Checksum
2025-11-03T17:10:20.6368405Z 4645a43790f0: Download complete
2025-11-03T17:10:20.7514883Z ea1bd369b074: Verifying Checksum
2025-11-03T17:10:20.7515225Z ea1bd369b074: Download complete
2025-11-03T17:10:22.2546046Z 02123d6281c6: Verifying Checksum
2025-11-03T17:10:22.2546492Z 02123d6281c6: Download complete
2025-11-03T17:11:04.8966067Z 36a699ce2465: Verifying Checksum
2025-11-03T17:11:04.8970646Z 36a699ce2465: Download complete
2025-11-03T17:12:24.0400829Z f412c98d4b13: Verifying Checksum
2025-11-03T17:12:24.0401190Z f412c98d4b13: Download complete
2025-11-03T17:12:38.3049094Z 70ee976f40cc: Pull complete
2025-11-03T17:12:38.5239561Z 4f4fb700ef54: Pull complete
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2025-11-03T17:21:06.4982630Z f3a3f5f04278: Pull complete
2025-11-03T17:21:15.5519756Z a41c1b206b88: Pull complete
2025-11-03T17:21:15.5784159Z 3108315b2733: Pull complete
2025-11-03T17:21:15.6385216Z 30763b9dbb82: Pull complete
2025-11-03T17:21:15.7536298Z cd5dd27bb1be: Pull complete
2025-11-03T17:21:15.8294632Z 696894ef584d: Pull complete
2025-11-03T17:21:15.8633305Z 966128f700b4: Pull complete
2025-11-03T17:21:17.6484882Z 4645a43790f0: Pull complete
2025-11-03T17:21:17.8345440Z ea1bd369b074: Pull complete
2025-11-03T17:21:19.8954181Z 02123d6281c6: Pull complete
2025-11-03T17:21:20.0553786Z Digest: sha256:b5b3debff728325c946fa42c60db7c9dd1e69885bde1d55d35bb37153932c16a
2025-11-03T17:21:20.0688734Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:21:20.0773336Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:21:20.0841921Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T17:21:20.0842874Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T17:21:20.0857209Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:21:20.0857566Z env:
2025-11-03T17:21:20.0857780Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:21:20.0858031Z ##[endgroup]
2025-11-03T17:21:20.1084641Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2025-11-03T17:21:20.1085048Z with:
2025-11-03T17:21:20.1085255Z   driver-version: 580.82.07
2025-11-03T17:21:20.1085502Z env:
2025-11-03T17:21:20.1085693Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:21:20.1085932Z ##[endgroup]
2025-11-03T17:21:20.1178679Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482
2025-11-03T17:21:20.1179075Z with:
2025-11-03T17:21:20.1179268Z   timeout_minutes: 10
2025-11-03T17:21:20.1179504Z   max_attempts: 3
2025-11-03T17:21:20.1206172Z   command: # Is it disgusting to have a full shell script here in this github action? Sure
# But is it the best way to make it so that this action relies on nothing else? Absolutely
set -eou pipefail

DISTRIBUTION=$(. /etc/os-release;echo $ID$VERSION_ID)
DRIVER_FN="NVIDIA-Linux-x86_64-${DRIVER_VERSION}.run"

install_nvidia_docker2_amzn2() {
    (
        set -x
        # Needed for yum-config-manager
        sudo yum install -y yum-utils
        if [[ "${DISTRIBUTION}" == "amzn2023" ]] ; then
          YUM_REPO_URL="https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo"
        else
          # Amazon Linux 2
          YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo"
        fi

        sudo yum-config-manager --add-repo "${YUM_REPO_URL}"
        sudo yum install -y \
          nvidia-container-toolkit-1.17.8 \
          libnvidia-container-tools-1.17.8 \
          libnvidia-container1-1.17.8 \
          nvidia-container-toolkit-base-1.17.8
        sudo systemctl restart docker
    )
}

install_nvidia_docker2_ubuntu20() {
    (
        set -x
        # Install nvidia-driver package if not installed
        status="$(dpkg-query -W --showformat='${db:Status-Status}' nvidia-docker2 2>&1)"
        if [ ! $? = 0 ] || [ ! "$status" = installed ]; then
          sudo apt-get install -y nvidia-container-toolkit-1.17.8
          sudo systemctl restart docker
        fi
    )
}

pre_install_nvidia_driver_amzn2() {
    (
        # Purge any nvidia driver installed from RHEL repo
        sudo yum remove -y nvidia-driver-latest-dkms
    )
}

install_nvidia_driver_common() {
    (
        # Try to gather more information about the runner and its existing NVIDIA driver if any
        echo "Before installing NVIDIA driver"
        lspci
        lsmod
        modinfo nvidia || true

        HAS_NVIDIA_DRIVER=0
        # Check if NVIDIA driver has already been installed
        if [ -x "$(command -v nvidia-smi)" ]; then
            set +e
            # The driver exists, check its version next. Also check only the first GPU if there are more than one of them
            # so that the same driver version is not print over multiple lines
            INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
            NVIDIA_SMI_STATUS=$?

            if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
                echo "Failed to get NVIDIA driver version ($INSTALLED_DRIVER_VERSION). Continuing"
            elif [ "$INSTALLED_DRIVER_VERSION" != "$DRIVER_VERSION" ]; then
                echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has been installed, but we expect to have $DRIVER_VERSION instead. Continuing"

                # Turn off persistent mode so that the installation script can unload the kernel module
                sudo killall nvidia-persistenced || true
            else
                HAS_NVIDIA_DRIVER=1
                echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has already been installed. Skipping NVIDIA driver installation"
            fi
            set -e
        fi

        if [ "$HAS_NVIDIA_DRIVER" -eq 0 ]; then
            # CAUTION: this may need to be updated in future
            if [ "${DISTRIBUTION}" != ubuntu20.04 ]; then
                  sudo yum groupinstall -y "Development Tools"
                  # ensure our kernel install is the same as our underlying kernel,
                  # groupinstall "Development Tools" has a habit of mismatching kernel headers
                  sudo yum install -y "kernel-devel-uname-r == $(uname -r)"
                  sudo modprobe backlight
            fi
            sudo curl -fsL -o /tmp/nvidia_driver "https://s3.amazonaws.com/ossci-linux/nvidia_driver/$DRIVER_FN"

            set +e
            sudo /bin/bash /tmp/nvidia_driver -s --no-drm
            NVIDIA_INSTALLATION_STATUS=$?

            RESET_GPU=0
            if [ "$NVIDIA_INSTALLATION_STATUS" -ne 0 ]; then
                sudo cat /var/log/nvidia-installer.log
                # Fail to install NVIDIA driver, try to reset the GPU
                RESET_GPU=1
            elif [ -x "$(command -v nvidia-smi)" ]; then
                # Check again if nvidia-smi works even if the driver installation completes successfully
                INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
                NVIDIA_SMI_STATUS=$?

                if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
                    RESET_GPU=1
                fi
            fi

            if [ "$RESET_GPU" -eq 1 ]; then
                NVIDIA_DEVICES=$(lspci -D | grep -i NVIDIA | cut -d' ' -f1)
                # The GPU can get stuck in a failure state if somehow the test crashs the GPU microcode. When this
                # happens, we'll try to reset all NVIDIA devices https://github.com/pytorch/pytorch/issues/88388
                for PCI_ID in $NVIDIA_DEVICES; do
                    DEVICE_ENABLED=$(cat /sys/bus/pci/devices/$PCI_ID/enable)

                    echo "Reseting $PCI_ID (enabled state: $DEVICE_ENABLED)"
                    # This requires sudo permission of course
                    echo "1" | sudo tee /sys/bus/pci/devices/$PCI_ID/reset
                    sleep 1
                done
            fi

            sudo rm -fv /tmp/nvidia_driver
            set -e
        fi
    )
}

post_install_nvidia_driver_common() {
    (
        sudo modprobe nvidia || true
        echo "After installing NVIDIA driver"
        lspci
        lsmod
        modinfo nvidia || true

        (
            set +e

            nvidia-smi
            # NB: Annoyingly, nvidia-smi command returns successfully with return code 0 even in
            # the case where the driver has already crashed as it still can get the driver version
            # and some basic information like the bus ID.  However, the rest of the information
            # would be missing (ERR!), for example:
            #
            # +-----------------------------------------------------------------------------+
            # | NVIDIA-SMI 525.89.02    Driver Version: 525.89.02    CUDA Version: 12.0     |
            # |-------------------------------+----------------------+----------------------+
            # | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
            # | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
            # |                               |                      |               MIG M. |
            # |===============================+======================+======================|
            # |   0  ERR!                Off  | 00000000:00:1E.0 Off |                 ERR! |
            # |ERR!  ERR! ERR!    ERR! / ERR! |   4184MiB / 23028MiB |    ERR!      Default |
            # |                               |                      |                 ERR! |
            # +-------------------------------+----------------------+----------------------+
            #
            # +-----------------------------------------------------------------------------+
            # | Processes:                                                                  |
            # |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
            # |        ID   ID                                                   Usage      |
            # |=============================================================================|
            # +-----------------------------------------------------------------------------+
            #
            # This should be reported as a failure instead as it will guarantee to fail when
            # Docker tries to run with --gpus all
            #
            # So, the correct check here is to query one of the missing piece of info like
            # GPU name, so that the command can fail accordingly
            nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
            NVIDIA_SMI_STATUS=$?

            # Allowable exit statuses for nvidia-smi, see: https://github.com/NVIDIA/gpu-operator/issues/285
            if [ "$NVIDIA_SMI_STATUS" -eq 0 ] || [ "$NVIDIA_SMI_STATUS" -eq 14 ]; then
                echo "INFO: Ignoring allowed status ${NVIDIA_SMI_STATUS}"
            else
                echo "ERROR: nvidia-smi exited with unresolved status ${NVIDIA_SMI_STATUS}"
                exit ${NVIDIA_SMI_STATUS}
            fi
            set -e
        )
    )
}

install_nvidia_driver_amzn2() {
    (
        set -x
        pre_install_nvidia_driver_amzn2
        install_nvidia_driver_common
        post_install_nvidia_driver_common
    )
}

install_nvidia_driver_ubuntu20() {
    (
        set -x
        install_nvidia_driver_common
        post_install_nvidia_driver_common
    )
}

echo "== Installing nvidia driver ${DRIVER_FN} =="
case "${DISTRIBUTION}" in
    amzn*)
        install_nvidia_driver_amzn2
        ;;
    ubuntu20.04)
        install_nvidia_driver_ubuntu20
        ;;
    *)
        echo "ERROR: Unknown distribution ${DISTRIBUTION}"
        exit 1
        ;;
esac

# Install container toolkit based on distribution
echo "== Installing nvidia container toolkit for ${DISTRIBUTION} =="
case "${DISTRIBUTION}" in
    amzn*)
        install_nvidia_docker2_amzn2
        ;;
    ubuntu20.04)
        install_nvidia_docker2_ubuntu20
        ;;
    *)
        echo "ERROR: Unknown distribution ${DISTRIBUTION}"
        exit 1
        ;;
esac
echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}"

# Fix https://github.com/NVIDIA/nvidia-docker/issues/1648 on runners with
# more than one GPUs. This just needs to be run once. The command fails
# on subsequent runs and complains that the mode is already on, but that's
# ok
sudo nvidia-persistenced || true
# This should show persistence mode ON
nvidia-smi

# check if the container-toolkit is correctly installed and CUDA is available inside a container
docker run --rm -t --gpus=all public.ecr.aws/docker/library/python:3.13 nvidia-smi

2025-11-03T17:21:20.1233180Z   retry_wait_seconds: 10
2025-11-03T17:21:20.1233446Z   polling_interval_seconds: 1
2025-11-03T17:21:20.1233710Z   warning_on_retry: true
2025-11-03T17:21:20.1233946Z   continue_on_error: false
2025-11-03T17:21:20.1234182Z env:
2025-11-03T17:21:20.1234378Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:21:20.1234633Z   DRIVER_VERSION: 580.82.07
2025-11-03T17:21:20.1234875Z ##[endgroup]
2025-11-03T17:21:20.2508812Z == Installing nvidia driver NVIDIA-Linux-x86_64-580.82.07.run ==
2025-11-03T17:21:20.2509629Z + pre_install_nvidia_driver_amzn2
2025-11-03T17:21:20.2512784Z + sudo yum remove -y nvidia-driver-latest-dkms
2025-11-03T17:21:21.6364501Z No match for argument: nvidia-driver-latest-dkms
2025-11-03T17:21:21.6365279Z No packages marked for removal.
2025-11-03T17:21:21.6714744Z Dependencies resolved.
2025-11-03T17:21:21.6724548Z Nothing to do.
2025-11-03T17:21:21.6724893Z Complete!
2025-11-03T17:21:21.7516166Z + install_nvidia_driver_common
2025-11-03T17:21:21.7520530Z + echo 'Before installing NVIDIA driver'
2025-11-03T17:21:21.7520961Z + lspci
2025-11-03T17:21:21.7523725Z Before installing NVIDIA driver
2025-11-03T17:21:21.7961078Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-11-03T17:21:21.7961584Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-11-03T17:21:21.7962169Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-11-03T17:21:21.7962989Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-11-03T17:21:21.7963489Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-11-03T17:21:21.7964192Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-11-03T17:21:21.7964855Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1)
2025-11-03T17:21:21.7965536Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-11-03T17:21:21.7966078Z + lsmod
2025-11-03T17:21:21.8018883Z Module                  Size  Used by
2025-11-03T17:21:21.8019197Z nvidia_uvm           1925120  0
2025-11-03T17:21:21.8019476Z nvidia              14286848  1 nvidia_uvm
2025-11-03T17:21:21.8019771Z drm                   602112  1 nvidia
2025-11-03T17:21:21.8020075Z drm_panel_orientation_quirks    32768  1 drm
2025-11-03T17:21:21.8020420Z backlight              24576  1 drm
2025-11-03T17:21:21.8020695Z i2c_core              110592  2 nvidia,drm
2025-11-03T17:21:21.8020979Z xt_conntrack           16384  1
2025-11-03T17:21:21.8021243Z nft_chain_nat          16384  3
2025-11-03T17:21:21.8021497Z xt_MASQUERADE          20480  1
2025-11-03T17:21:21.8021782Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-11-03T17:21:21.8022116Z nf_conntrack_netlink    57344  0
2025-11-03T17:21:21.8022580Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-11-03T17:21:21.8023204Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-11-03T17:21:21.8023634Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-11-03T17:21:21.8024021Z xfrm_user              57344  1
2025-11-03T17:21:21.8024386Z xfrm_algo              16384  1 xfrm_user
2025-11-03T17:21:21.8024759Z xt_addrtype            16384  2
2025-11-03T17:21:21.8025088Z nft_compat             20480  4
2025-11-03T17:21:21.8025470Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-11-03T17:21:21.8025916Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-11-03T17:21:21.8026300Z br_netfilter           36864  0
2025-11-03T17:21:21.8026571Z bridge                323584  1 br_netfilter
2025-11-03T17:21:21.8026859Z stp                    16384  1 bridge
2025-11-03T17:21:21.8027146Z llc                    16384  2 bridge,stp
2025-11-03T17:21:21.8027429Z overlay               167936  0
2025-11-03T17:21:21.8027672Z tls                   139264  0
2025-11-03T17:21:21.8028129Z nls_ascii              16384  1
2025-11-03T17:21:21.8028377Z nls_cp437              20480  1
2025-11-03T17:21:21.8028616Z vfat                   24576  1
2025-11-03T17:21:21.8028859Z fat                    86016  1 vfat
2025-11-03T17:21:21.8029115Z sunrpc                700416  1
2025-11-03T17:21:21.8029362Z i8042                  45056  0
2025-11-03T17:21:21.8029608Z ghash_clmulni_intel    16384  0
2025-11-03T17:21:21.8029871Z serio                  28672  3 i8042
2025-11-03T17:21:21.8030130Z ena                   184320  0
2025-11-03T17:21:21.8030374Z button                 24576  0
2025-11-03T17:21:21.8030624Z sch_fq_codel           20480  17
2025-11-03T17:21:21.8030886Z fuse                  184320  1
2025-11-03T17:21:21.8031120Z loop                   36864  0
2025-11-03T17:21:21.8031655Z dm_mod                188416  0
2025-11-03T17:21:21.8031911Z configfs               57344  1
2025-11-03T17:21:21.8032163Z dmi_sysfs              20480  0
2025-11-03T17:21:21.8032410Z crc32_pclmul           16384  0
2025-11-03T17:21:21.8032670Z crc32c_intel           24576  0
2025-11-03T17:21:21.8032922Z efivarfs               24576  1
2025-11-03T17:21:21.8033179Z + modinfo nvidia
2025-11-03T17:21:21.8042529Z filename:       /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-11-03T17:21:21.8043089Z import_ns:      DMA_BUF
2025-11-03T17:21:21.8043357Z alias:          char-major-195-*
2025-11-03T17:21:21.8043623Z version:        580.82.07
2025-11-03T17:21:21.8043864Z supported:      external
2025-11-03T17:21:21.8044101Z license:        Dual MIT/GPL
2025-11-03T17:21:21.8044381Z firmware:       nvidia/580.82.07/gsp_tu10x.bin
2025-11-03T17:21:21.8044889Z firmware:       nvidia/580.82.07/gsp_ga10x.bin
2025-11-03T17:21:21.8045217Z srcversion:     BA7240A71DCF7DC6FE88C1D
2025-11-03T17:21:21.8045544Z alias:          of:N*T*Cnvidia,tegra264-displayC*
2025-11-03T17:21:21.8045895Z alias:          of:N*T*Cnvidia,tegra264-display
2025-11-03T17:21:21.8046243Z alias:          of:N*T*Cnvidia,tegra234-displayC*
2025-11-03T17:21:21.8046589Z alias:          of:N*T*Cnvidia,tegra234-display
2025-11-03T17:21:21.8046924Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-11-03T17:21:21.8047250Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-11-03T17:21:21.8047578Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-11-03T17:21:21.8047887Z depends:        i2c-core,drm
2025-11-03T17:21:21.8048136Z retpoline:      Y
2025-11-03T17:21:21.8048340Z name:           nvidia
2025-11-03T17:21:21.8048692Z vermagic:       6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-11-03T17:21:21.8049172Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-11-03T17:21:21.8049622Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-11-03T17:21:21.8050038Z parm:           NVreg_ResmanDebugLevel:int
2025-11-03T17:21:21.8050347Z parm:           NVreg_RmLogonRC:int
2025-11-03T17:21:21.8050640Z parm:           NVreg_ModifyDeviceFiles:int
2025-11-03T17:21:21.8050955Z parm:           NVreg_DeviceFileUID:int
2025-11-03T17:21:21.8051246Z parm:           NVreg_DeviceFileGID:int
2025-11-03T17:21:21.8051546Z parm:           NVreg_DeviceFileMode:int
2025-11-03T17:21:21.8051903Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-11-03T17:21:21.8052287Z parm:           NVreg_UsePageAttributeTable:int
2025-11-03T17:21:21.8052666Z parm:           NVreg_EnablePCIeGen3:int
2025-11-03T17:21:21.8052964Z parm:           NVreg_EnableMSI:int
2025-11-03T17:21:21.8053267Z parm:           NVreg_EnableStreamMemOPs:int
2025-11-03T17:21:21.8053630Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-11-03T17:21:21.8054032Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-11-03T17:21:21.8054415Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-11-03T17:21:21.8054825Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-11-03T17:21:21.8055233Z parm:           NVreg_DynamicPowerManagement:int
2025-11-03T17:21:21.8055651Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-11-03T17:21:21.8056186Z parm:           NVreg_EnableGpuFirmware:int
2025-11-03T17:21:21.8056523Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-11-03T17:21:21.8056900Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-11-03T17:21:21.8057275Z parm:           NVreg_EnableUserNUMAManagement:int
2025-11-03T17:21:21.8057605Z parm:           NVreg_MemoryPoolSize:int
2025-11-03T17:21:21.8057926Z parm:           NVreg_KMallocHeapMaxSize:int
2025-11-03T17:21:21.8058252Z parm:           NVreg_VMallocHeapMaxSize:int
2025-11-03T17:21:21.8058579Z parm:           NVreg_IgnoreMMIOCheck:int
2025-11-03T17:21:21.8058892Z parm:           NVreg_NvLinkDisable:int
2025-11-03T17:21:21.8059242Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-11-03T17:21:21.8059600Z parm:           NVreg_RegisterPCIDriver:int
2025-11-03T17:21:21.8059956Z parm:           NVreg_RegisterPlatformDeviceDriver:int
2025-11-03T17:21:21.8060359Z parm:           NVreg_EnableResizableBar:int
2025-11-03T17:21:21.8060695Z parm:           NVreg_EnableDbgBreakpoint:int
2025-11-03T17:21:21.8061045Z parm:           NVreg_EnableNonblockingOpen:int
2025-11-03T17:21:21.8061404Z parm:           NVreg_CoherentGPUMemoryMode:charp
2025-11-03T17:21:21.8061737Z parm:           NVreg_RegistryDwords:charp
2025-11-03T17:21:21.8062076Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-11-03T17:21:21.8062410Z parm:           NVreg_RmMsg:charp
2025-11-03T17:21:21.8062690Z parm:           NVreg_GpuBlacklist:charp
2025-11-03T17:21:21.8063003Z parm:           NVreg_TemporaryFilePath:charp
2025-11-03T17:21:21.8063417Z parm:           NVreg_ExcludedGpus:charp
2025-11-03T17:21:21.8063731Z parm:           NVreg_DmaRemapPeerMmio:int
2025-11-03T17:21:21.8064066Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-11-03T17:21:21.8064419Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-11-03T17:21:21.8064765Z parm:           NVreg_ImexChannelCount:int
2025-11-03T17:21:21.8065086Z parm:           NVreg_CreateImexChannel0:int
2025-11-03T17:21:21.8065431Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-11-03T17:21:21.8065768Z parm:           rm_firmware_active:charp
2025-11-03T17:21:21.8066057Z + HAS_NVIDIA_DRIVER=0
2025-11-03T17:21:21.8066295Z ++ command -v nvidia-smi
2025-11-03T17:21:21.8066559Z + '[' -x /usr/bin/nvidia-smi ']'
2025-11-03T17:21:21.8066818Z + set +e
2025-11-03T17:21:21.8067123Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0
2025-11-03T17:21:23.5422472Z + INSTALLED_DRIVER_VERSION=580.82.07
2025-11-03T17:21:23.5422941Z + NVIDIA_SMI_STATUS=0
2025-11-03T17:21:23.5423188Z + '[' 0 -ne 0 ']'
2025-11-03T17:21:23.5423426Z + '[' 580.82.07 '!=' 580.82.07 ']'
2025-11-03T17:21:23.5435416Z + HAS_NVIDIA_DRIVER=1
2025-11-03T17:21:23.5435971Z + echo 'NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation'
2025-11-03T17:21:23.5436456Z + set -e
2025-11-03T17:21:23.5436640Z + '[' 1 -eq 0 ']'
2025-11-03T17:21:23.5437032Z NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation
2025-11-03T17:21:23.5437516Z + post_install_nvidia_driver_common
2025-11-03T17:21:23.5437796Z + sudo modprobe nvidia
2025-11-03T17:21:23.6740838Z + echo 'After installing NVIDIA driver'
2025-11-03T17:21:23.6741203Z + lspci
2025-11-03T17:21:23.6741418Z After installing NVIDIA driver
2025-11-03T17:21:23.6866951Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-11-03T17:21:23.6867708Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-11-03T17:21:23.6868606Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-11-03T17:21:23.6869446Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-11-03T17:21:23.6870256Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-11-03T17:21:23.6871146Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-11-03T17:21:23.6871927Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1)
2025-11-03T17:21:23.6872973Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-11-03T17:21:23.6873616Z + lsmod
2025-11-03T17:21:23.6908301Z Module                  Size  Used by
2025-11-03T17:21:23.6908646Z nvidia_uvm           1925120  0
2025-11-03T17:21:23.6908914Z nvidia              14286848  1 nvidia_uvm
2025-11-03T17:21:23.6909213Z drm                   602112  1 nvidia
2025-11-03T17:21:23.6909524Z drm_panel_orientation_quirks    32768  1 drm
2025-11-03T17:21:23.6909838Z backlight              24576  1 drm
2025-11-03T17:21:23.6910129Z i2c_core              110592  2 nvidia,drm
2025-11-03T17:21:23.6910412Z xt_conntrack           16384  1
2025-11-03T17:21:23.6910670Z nft_chain_nat          16384  3
2025-11-03T17:21:23.6910925Z xt_MASQUERADE          20480  1
2025-11-03T17:21:23.6911222Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-11-03T17:21:23.6911570Z nf_conntrack_netlink    57344  0
2025-11-03T17:21:23.6912103Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-11-03T17:21:23.6912550Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-11-03T17:21:23.6913017Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-11-03T17:21:23.6913300Z xfrm_user              57344  1
2025-11-03T17:21:23.6913565Z xfrm_algo              16384  1 xfrm_user
2025-11-03T17:21:23.6913854Z xt_addrtype            16384  2
2025-11-03T17:21:23.6914108Z nft_compat             20480  4
2025-11-03T17:21:23.6914403Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-11-03T17:21:23.6915027Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-11-03T17:21:23.6915419Z br_netfilter           36864  0
2025-11-03T17:21:23.6915691Z bridge                323584  1 br_netfilter
2025-11-03T17:21:23.6915978Z stp                    16384  1 bridge
2025-11-03T17:21:23.6916260Z llc                    16384  2 bridge,stp
2025-11-03T17:21:23.6916543Z overlay               167936  0
2025-11-03T17:21:23.6916794Z tls                   139264  0
2025-11-03T17:21:23.6917032Z nls_ascii              16384  1
2025-11-03T17:21:23.6917280Z nls_cp437              20480  1
2025-11-03T17:21:23.6917522Z vfat                   24576  1
2025-11-03T17:21:23.6917767Z fat                    86016  1 vfat
2025-11-03T17:21:23.6918023Z sunrpc                700416  1
2025-11-03T17:21:23.6918263Z i8042                  45056  0
2025-11-03T17:21:23.6918512Z ghash_clmulni_intel    16384  0
2025-11-03T17:21:23.6918770Z serio                  28672  3 i8042
2025-11-03T17:21:23.6919028Z ena                   184320  0
2025-11-03T17:21:23.6919296Z button                 24576  0
2025-11-03T17:21:23.6919547Z sch_fq_codel           20480  17
2025-11-03T17:21:23.6919803Z fuse                  184320  1
2025-11-03T17:21:23.6920041Z loop                   36864  0
2025-11-03T17:21:23.6920286Z dm_mod                188416  0
2025-11-03T17:21:23.6920532Z configfs               57344  1
2025-11-03T17:21:23.6920786Z dmi_sysfs              20480  0
2025-11-03T17:21:23.6921027Z crc32_pclmul           16384  0
2025-11-03T17:21:23.6921276Z crc32c_intel           24576  0
2025-11-03T17:21:23.6921526Z efivarfs               24576  1
2025-11-03T17:21:23.6921771Z + modinfo nvidia
2025-11-03T17:21:23.6931973Z filename:       /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-11-03T17:21:23.6932607Z import_ns:      DMA_BUF
2025-11-03T17:21:23.6932849Z alias:          char-major-195-*
2025-11-03T17:21:23.6933122Z version:        580.82.07
2025-11-03T17:21:23.6933370Z supported:      external
2025-11-03T17:21:23.6933616Z license:        Dual MIT/GPL
2025-11-03T17:21:23.6933903Z firmware:       nvidia/580.82.07/gsp_tu10x.bin
2025-11-03T17:21:23.6934247Z firmware:       nvidia/580.82.07/gsp_ga10x.bin
2025-11-03T17:21:23.6934569Z srcversion:     BA7240A71DCF7DC6FE88C1D
2025-11-03T17:21:23.6934900Z alias:          of:N*T*Cnvidia,tegra264-displayC*
2025-11-03T17:21:23.6935248Z alias:          of:N*T*Cnvidia,tegra264-display
2025-11-03T17:21:23.6937104Z alias:          of:N*T*Cnvidia,tegra234-displayC*
2025-11-03T17:21:23.6937454Z alias:          of:N*T*Cnvidia,tegra234-display
2025-11-03T17:21:23.6937798Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-11-03T17:21:23.6938130Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-11-03T17:21:23.6938463Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-11-03T17:21:23.6938778Z depends:        i2c-core,drm
2025-11-03T17:21:23.6939033Z retpoline:      Y
2025-11-03T17:21:23.6939240Z name:           nvidia
2025-11-03T17:21:23.6939610Z vermagic:       6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-11-03T17:21:23.6940093Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-11-03T17:21:23.6940550Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-11-03T17:21:23.6940966Z parm:           NVreg_ResmanDebugLevel:int
2025-11-03T17:21:23.6941272Z parm:           NVreg_RmLogonRC:int
2025-11-03T17:21:23.6941576Z parm:           NVreg_ModifyDeviceFiles:int
2025-11-03T17:21:23.6941887Z parm:           NVreg_DeviceFileUID:int
2025-11-03T17:21:23.6942182Z parm:           NVreg_DeviceFileGID:int
2025-11-03T17:21:23.6942481Z parm:           NVreg_DeviceFileMode:int
2025-11-03T17:21:23.6942841Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-11-03T17:21:23.6943230Z parm:           NVreg_UsePageAttributeTable:int
2025-11-03T17:21:23.6943560Z parm:           NVreg_EnablePCIeGen3:int
2025-11-03T17:21:23.6943854Z parm:           NVreg_EnableMSI:int
2025-11-03T17:21:23.6944159Z parm:           NVreg_EnableStreamMemOPs:int
2025-11-03T17:21:23.6944663Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-11-03T17:21:23.6945069Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-11-03T17:21:23.6945449Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-11-03T17:21:23.6945869Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-11-03T17:21:23.6946289Z parm:           NVreg_DynamicPowerManagement:int
2025-11-03T17:21:23.6946718Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-11-03T17:21:23.6947130Z parm:           NVreg_EnableGpuFirmware:int
2025-11-03T17:21:23.6947476Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-11-03T17:21:23.6947852Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-11-03T17:21:23.6948226Z parm:           NVreg_EnableUserNUMAManagement:int
2025-11-03T17:21:23.6948563Z parm:           NVreg_MemoryPoolSize:int
2025-11-03T17:21:23.6948881Z parm:           NVreg_KMallocHeapMaxSize:int
2025-11-03T17:21:23.6949212Z parm:           NVreg_VMallocHeapMaxSize:int
2025-11-03T17:21:23.6949541Z parm:           NVreg_IgnoreMMIOCheck:int
2025-11-03T17:21:23.6949843Z parm:           NVreg_NvLinkDisable:int
2025-11-03T17:21:23.6950187Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-11-03T17:21:23.6950548Z parm:           NVreg_RegisterPCIDriver:int
2025-11-03T17:21:23.6950905Z parm:           NVreg_RegisterPlatformDeviceDriver:int
2025-11-03T17:21:23.6951313Z parm:           NVreg_EnableResizableBar:int
2025-11-03T17:21:23.6951648Z parm:           NVreg_EnableDbgBreakpoint:int
2025-11-03T17:21:23.6951993Z parm:           NVreg_EnableNonblockingOpen:int
2025-11-03T17:21:23.6952347Z parm:           NVreg_CoherentGPUMemoryMode:charp
2025-11-03T17:21:23.6952695Z parm:           NVreg_RegistryDwords:charp
2025-11-03T17:21:23.6953042Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-11-03T17:21:23.6953372Z parm:           NVreg_RmMsg:charp
2025-11-03T17:21:23.6953647Z parm:           NVreg_GpuBlacklist:charp
2025-11-03T17:21:23.6953968Z parm:           NVreg_TemporaryFilePath:charp
2025-11-03T17:21:23.6954288Z parm:           NVreg_ExcludedGpus:charp
2025-11-03T17:21:23.6954597Z parm:           NVreg_DmaRemapPeerMmio:int
2025-11-03T17:21:23.6954913Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-11-03T17:21:23.6955267Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-11-03T17:21:23.6955700Z parm:           NVreg_ImexChannelCount:int
2025-11-03T17:21:23.6956018Z parm:           NVreg_CreateImexChannel0:int
2025-11-03T17:21:23.6956352Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-11-03T17:21:23.6956684Z parm:           rm_firmware_active:charp
2025-11-03T17:21:23.6956964Z + set +e
2025-11-03T17:21:23.6957149Z + nvidia-smi
2025-11-03T17:21:25.1483843Z Mon Nov  3 17:21:25 2025       
2025-11-03T17:21:25.1484327Z +-----------------------------------------------------------------------------------------+
2025-11-03T17:21:25.1484851Z | NVIDIA-SMI 580.82.07              Driver Version: 580.82.07      CUDA Version: 13.0     |
2025-11-03T17:21:25.1485377Z +-----------------------------------------+------------------------+----------------------+
2025-11-03T17:21:25.1485889Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-11-03T17:21:25.1486432Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-11-03T17:21:25.1486882Z |                                         |                        |               MIG M. |
2025-11-03T17:21:25.1487230Z |=========================================+========================+======================|
2025-11-03T17:21:25.1572498Z |   0  NVIDIA A10G                    Off |   00000000:00:1E.0 Off |                    0 |
2025-11-03T17:21:25.1573059Z |  0%   29C    P0             59W /  300W |       0MiB /  23028MiB |      4%      Default |
2025-11-03T17:21:25.1573450Z |                                         |                        |                  N/A |
2025-11-03T17:21:25.1574146Z +-----------------------------------------+------------------------+----------------------+
2025-11-03T17:21:25.1574459Z 
2025-11-03T17:21:25.1574635Z +-----------------------------------------------------------------------------------------+
2025-11-03T17:21:25.1575079Z | Processes:                                                                              |
2025-11-03T17:21:25.1575527Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-11-03T17:21:25.1575954Z |        ID   ID                                                               Usage      |
2025-11-03T17:21:25.1576299Z |=========================================================================================|
2025-11-03T17:21:25.1577263Z |  No running processes found                                                             |
2025-11-03T17:21:25.1577752Z +-----------------------------------------------------------------------------------------+
2025-11-03T17:21:25.5821145Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
2025-11-03T17:21:27.0383224Z NVIDIA A10G
2025-11-03T17:21:27.3105948Z + NVIDIA_SMI_STATUS=0
2025-11-03T17:21:27.3106222Z + '[' 0 -eq 0 ']'
2025-11-03T17:21:27.3106463Z + echo 'INFO: Ignoring allowed status 0'
2025-11-03T17:21:27.3106750Z + set -e
2025-11-03T17:21:27.3106984Z INFO: Ignoring allowed status 0
2025-11-03T17:21:27.3116073Z == Installing nvidia container toolkit for amzn2023 ==
2025-11-03T17:21:27.3120431Z + sudo yum install -y yum-utils
2025-11-03T17:21:27.8547912Z Last metadata expiration check: 0:17:40 ago on Mon Nov  3 17:03:47 2025.
2025-11-03T17:21:27.8816136Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed.
2025-11-03T17:21:27.9395955Z Dependencies resolved.
2025-11-03T17:21:27.9691725Z Nothing to do.
2025-11-03T17:21:27.9691977Z Complete!
2025-11-03T17:21:28.0238711Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]]
2025-11-03T17:21:28.0240023Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-11-03T17:21:28.0241069Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-11-03T17:21:28.3569813Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-11-03T17:21:28.4075929Z + sudo yum install -y nvidia-container-toolkit-1.17.8 libnvidia-container-tools-1.17.8 libnvidia-container1-1.17.8 nvidia-container-toolkit-base-1.17.8
2025-11-03T17:21:28.9977562Z nvidia-container-toolkit                         19 kB/s | 833  B     00:00    
2025-11-03T17:21:29.0819185Z Dependencies resolved.
2025-11-03T17:21:29.1105024Z ================================================================================
2025-11-03T17:21:29.1106258Z  Package                       Arch   Version    Repository                Size
2025-11-03T17:21:29.1106861Z ================================================================================
2025-11-03T17:21:29.1107343Z Downgrading:
2025-11-03T17:21:29.1107970Z  libnvidia-container-tools     x86_64 1.17.8-1   nvidia-container-toolkit  40 k
2025-11-03T17:21:29.1108863Z  libnvidia-container1          x86_64 1.17.8-1   nvidia-container-toolkit 1.0 M
2025-11-03T17:21:29.1109716Z  nvidia-container-toolkit      x86_64 1.17.8-1   nvidia-container-toolkit 1.2 M
2025-11-03T17:21:29.1110657Z  nvidia-container-toolkit-base x86_64 1.17.8-1   nvidia-container-toolkit 5.8 M
2025-11-03T17:21:29.1111259Z 
2025-11-03T17:21:29.1111398Z Transaction Summary
2025-11-03T17:21:29.1111794Z ================================================================================
2025-11-03T17:21:29.1112278Z Downgrade  4 Packages
2025-11-03T17:21:29.1112498Z 
2025-11-03T17:21:29.1112639Z Total download size: 8.0 M
2025-11-03T17:21:29.1112984Z Downloading Packages:
2025-11-03T17:21:29.1556931Z (1/4): libnvidia-container-tools-1.17.8-1.x86_6 942 kB/s |  40 kB     00:00    
2025-11-03T17:21:29.2014045Z (2/4): libnvidia-container1-1.17.8-1.x86_64.rpm  11 MB/s | 1.0 MB     00:00    
2025-11-03T17:21:29.2468941Z (3/4): nvidia-container-toolkit-1.17.8-1.x86_64 9.2 MB/s | 1.2 MB     00:00    
2025-11-03T17:21:29.3841540Z (4/4): nvidia-container-toolkit-base-1.17.8-1.x  25 MB/s | 5.8 MB     00:00    
2025-11-03T17:21:29.3854385Z --------------------------------------------------------------------------------
2025-11-03T17:21:29.3857090Z Total                                            29 MB/s | 8.0 MB     00:00     
2025-11-03T17:21:29.3859642Z Running transaction check
2025-11-03T17:21:29.3977332Z Transaction check succeeded.
2025-11-03T17:21:29.3977734Z Running transaction test
2025-11-03T17:21:29.4486783Z Transaction test succeeded.
2025-11-03T17:21:29.4489212Z Running transaction
2025-11-03T17:21:30.3559591Z   Preparing        :                                                        1/1 
2025-11-03T17:21:30.4909405Z   Downgrading      : nvidia-container-toolkit-base-1.17.8-1.x86_64          1/8 
2025-11-03T17:21:30.5199931Z   Downgrading      : libnvidia-container1-1.17.8-1.x86_64                   2/8 
2025-11-03T17:21:30.6273274Z   Running scriptlet: libnvidia-container1-1.17.8-1.x86_64                   2/8 
2025-11-03T17:21:30.7511801Z   Downgrading      : libnvidia-container-tools-1.17.8-1.x86_64              3/8 
2025-11-03T17:21:30.7811562Z   Downgrading      : nvidia-container-toolkit-1.17.8-1.x86_64               4/8 
2025-11-03T17:21:30.8651969Z   Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64               4/8 
2025-11-03T17:21:30.8652634Z   Cleanup          : nvidia-container-toolkit-1.18.0-1.x86_64               5/8 
2025-11-03T17:21:30.9398189Z   Running scriptlet: nvidia-container-toolkit-1.18.0-1.x86_64               5/8 
2025-11-03T17:21:30.9673085Z   Cleanup          : libnvidia-container-tools-1.18.0-1.x86_64              6/8 
2025-11-03T17:21:30.9674339Z   Cleanup          : libnvidia-container1-1.18.0-1.x86_64                   7/8 
2025-11-03T17:21:31.0251566Z   Running scriptlet: libnvidia-container1-1.18.0-1.x86_64                   7/8 
2025-11-03T17:21:31.0446826Z   Cleanup          : nvidia-container-toolkit-base-1.18.0-1.x86_64          8/8 
2025-11-03T17:21:31.1213494Z   Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64               8/8 
2025-11-03T17:22:07.8206332Z   Running scriptlet: nvidia-container-toolkit-base-1.18.0-1.x86_64          8/8 
2025-11-03T17:22:07.8208652Z   Verifying        : libnvidia-container-tools-1.17.8-1.x86_64              1/8 
2025-11-03T17:22:07.8209643Z   Verifying        : libnvidia-container-tools-1.18.0-1.x86_64              2/8 
2025-11-03T17:22:07.8210200Z   Verifying        : libnvidia-container1-1.17.8-1.x86_64                   3/8 
2025-11-03T17:22:07.8210733Z   Verifying        : libnvidia-container1-1.18.0-1.x86_64                   4/8 
2025-11-03T17:22:07.8211272Z   Verifying        : nvidia-container-toolkit-1.17.8-1.x86_64               5/8 
2025-11-03T17:22:07.8211811Z   Verifying        : nvidia-container-toolkit-1.18.0-1.x86_64               6/8 
2025-11-03T17:22:07.8212440Z   Verifying        : nvidia-container-toolkit-base-1.17.8-1.x86_64          7/8 
2025-11-03T17:22:07.9722483Z   Verifying        : nvidia-container-toolkit-base-1.18.0-1.x86_64          8/8================================================================================
2025-11-03T17:22:07.9723072Z WARNING:
2025-11-03T17:22:07.9723308Z   A newer release of "Amazon Linux" is available.
2025-11-03T17:22:07.9723546Z 
2025-11-03T17:22:07.9723645Z   Available Versions:
2025-11-03T17:22:07.9723801Z 
2025-11-03T17:22:07.9723894Z   Version 2023.9.20250929:
2025-11-03T17:22:07.9724206Z     Run the following command to upgrade to 2023.9.20250929:
2025-11-03T17:22:07.9724462Z 
2025-11-03T17:22:07.9724595Z       dnf upgrade --releasever=2023.9.20250929
2025-11-03T17:22:07.9724809Z 
2025-11-03T17:22:07.9724894Z     Release notes:
2025-11-03T17:22:07.9725315Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20250929.html
2025-11-03T17:22:07.9725704Z 
2025-11-03T17:22:07.9725793Z   Version 2023.9.20251014:
2025-11-03T17:22:07.9726404Z     Run the following command to upgrade to 2023.9.20251014:
2025-11-03T17:22:07.9726669Z 
2025-11-03T17:22:07.9726786Z       dnf upgrade --releasever=2023.9.20251014
2025-11-03T17:22:07.9727002Z 
2025-11-03T17:22:07.9727084Z     Release notes:
2025-11-03T17:22:07.9727482Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251014.html
2025-11-03T17:22:07.9727860Z 
2025-11-03T17:22:07.9727966Z   Version 2023.9.20251020:
2025-11-03T17:22:07.9728272Z     Run the following command to upgrade to 2023.9.20251020:
2025-11-03T17:22:07.9728525Z 
2025-11-03T17:22:07.9728640Z       dnf upgrade --releasever=2023.9.20251020
2025-11-03T17:22:07.9728855Z 
2025-11-03T17:22:07.9728937Z     Release notes:
2025-11-03T17:22:07.9729339Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251020.html
2025-11-03T17:22:07.9729715Z 
2025-11-03T17:22:07.9729810Z   Version 2023.9.20251027:
2025-11-03T17:22:07.9730121Z     Run the following command to upgrade to 2023.9.20251027:
2025-11-03T17:22:07.9730373Z 
2025-11-03T17:22:07.9730496Z       dnf upgrade --releasever=2023.9.20251027
2025-11-03T17:22:07.9730713Z 
2025-11-03T17:22:07.9730797Z     Release notes:
2025-11-03T17:22:07.9731493Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251027.html
2025-11-03T17:22:07.9731874Z 
2025-11-03T17:22:07.9732000Z ================================================================================
2025-11-03T17:22:08.0302222Z  
2025-11-03T17:22:08.0302341Z 
2025-11-03T17:22:08.0302568Z Downgraded:
2025-11-03T17:22:08.0303229Z   libnvidia-container-tools-1.17.8-1.x86_64                                     
2025-11-03T17:22:08.0303893Z   libnvidia-container1-1.17.8-1.x86_64                                          
2025-11-03T17:22:08.0304529Z   nvidia-container-toolkit-1.17.8-1.x86_64                                      
2025-11-03T17:22:08.0305196Z   nvidia-container-toolkit-base-1.17.8-1.x86_64                                 
2025-11-03T17:22:08.0305598Z 
2025-11-03T17:22:08.0305689Z Complete!
2025-11-03T17:22:08.1065563Z + sudo systemctl restart docker
2025-11-03T17:22:16.8606098Z Mon Nov  3 17:22:16 2025       
2025-11-03T17:22:16.8606517Z +-----------------------------------------------------------------------------------------+
2025-11-03T17:22:16.8607038Z | NVIDIA-SMI 580.82.07              Driver Version: 580.82.07      CUDA Version: 13.0     |
2025-11-03T17:22:16.8607901Z +-----------------------------------------+------------------------+----------------------+
2025-11-03T17:22:16.8608425Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-11-03T17:22:16.8608983Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-11-03T17:22:16.8609431Z |                                         |                        |               MIG M. |
2025-11-03T17:22:16.8609782Z |=========================================+========================+======================|
2025-11-03T17:22:16.8702762Z |   0  NVIDIA A10G                    On  |   00000000:00:1E.0 Off |                    0 |
2025-11-03T17:22:16.8703216Z |  0%   29C    P0             54W /  300W |       0MiB /  23028MiB |      4%      Default |
2025-11-03T17:22:16.8703631Z |                                         |                        |                  N/A |
2025-11-03T17:22:16.8704218Z +-----------------------------------------+------------------------+----------------------+
2025-11-03T17:22:16.8704603Z 
2025-11-03T17:22:16.8704783Z +-----------------------------------------------------------------------------------------+
2025-11-03T17:22:16.8705229Z | Processes:                                                                              |
2025-11-03T17:22:16.8705685Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-11-03T17:22:16.8706102Z |        ID   ID                                                               Usage      |
2025-11-03T17:22:16.8706669Z |=========================================================================================|
2025-11-03T17:22:16.8708655Z |  No running processes found                                                             |
2025-11-03T17:22:16.8709153Z +-----------------------------------------------------------------------------------------+
2025-11-03T17:22:17.0545972Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally
2025-11-03T17:22:17.2905777Z 3.13: Pulling from docker/library/python
2025-11-03T17:22:17.3848038Z 795dbedde24d: Pulling fs layer
2025-11-03T17:22:17.3848358Z 89d573bf42b3: Pulling fs layer
2025-11-03T17:22:17.3848631Z 26dfe2fac1c4: Pulling fs layer
2025-11-03T17:22:17.3848898Z 79d5bd8a8d26: Pulling fs layer
2025-11-03T17:22:17.3849164Z d53b4b1b9ebd: Pulling fs layer
2025-11-03T17:22:17.3849427Z 73ea62972d18: Pulling fs layer
2025-11-03T17:22:17.3849680Z eb23eeea1475: Pulling fs layer
2025-11-03T17:22:17.3849936Z 79d5bd8a8d26: Waiting
2025-11-03T17:22:17.3850174Z d53b4b1b9ebd: Waiting
2025-11-03T17:22:17.3850492Z 73ea62972d18: Waiting
2025-11-03T17:22:17.3850828Z eb23eeea1475: Waiting
2025-11-03T17:22:17.5103236Z 89d573bf42b3: Verifying Checksum
2025-11-03T17:22:17.5103577Z 89d573bf42b3: Download complete
2025-11-03T17:22:17.5964314Z 795dbedde24d: Verifying Checksum
2025-11-03T17:22:17.5964775Z 795dbedde24d: Download complete
2025-11-03T17:22:17.6744856Z d53b4b1b9ebd: Download complete
2025-11-03T17:22:17.7819861Z 73ea62972d18: Verifying Checksum
2025-11-03T17:22:17.7820341Z 73ea62972d18: Download complete
2025-11-03T17:22:17.8352685Z eb23eeea1475: Download complete
2025-11-03T17:22:17.8433172Z 26dfe2fac1c4: Verifying Checksum
2025-11-03T17:22:17.8433514Z 26dfe2fac1c4: Download complete
2025-11-03T17:22:18.3882002Z 79d5bd8a8d26: Verifying Checksum
2025-11-03T17:22:18.3882343Z 79d5bd8a8d26: Download complete
2025-11-03T17:22:19.4076818Z 795dbedde24d: Pull complete
2025-11-03T17:22:20.1470943Z 89d573bf42b3: Pull complete
2025-11-03T17:22:22.6201114Z 26dfe2fac1c4: Pull complete
2025-11-03T17:22:29.4059037Z 79d5bd8a8d26: Pull complete
2025-11-03T17:22:29.7052043Z d53b4b1b9ebd: Pull complete
2025-11-03T17:22:30.4604478Z 73ea62972d18: Pull complete
2025-11-03T17:22:30.4863829Z eb23eeea1475: Pull complete
2025-11-03T17:22:30.5003140Z Digest: sha256:12513c633252a28bcfee85839aa384e1af322f11275779c6645076c6cd0cfe52
2025-11-03T17:22:30.5045354Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13
2025-11-03T17:22:37.6155075Z Mon Nov  3 17:22:37 2025       
2025-11-03T17:22:37.6155480Z +-----------------------------------------------------------------------------------------+
2025-11-03T17:22:37.6155991Z | NVIDIA-SMI 580.82.07              Driver Version: 580.82.07      CUDA Version: 13.0     |
2025-11-03T17:22:37.6156501Z +-----------------------------------------+------------------------+----------------------+
2025-11-03T17:22:37.6157009Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-11-03T17:22:37.6157548Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-11-03T17:22:37.6158011Z |                                         |                        |               MIG M. |
2025-11-03T17:22:37.6158360Z |=========================================+========================+======================|
2025-11-03T17:22:37.6303217Z |   0  NVIDIA A10G                    On  |   00000000:00:1E.0 Off |                    0 |
2025-11-03T17:22:37.6303688Z |  0%   27C    P8             10W /  300W |       0MiB /  23028MiB |      0%      Default |
2025-11-03T17:22:37.6304083Z |                                         |                        |                  N/A |
2025-11-03T17:22:37.6304479Z +-----------------------------------------+------------------------+----------------------+
2025-11-03T17:22:37.6307094Z 
2025-11-03T17:22:37.6322973Z +-----------------------------------------------------------------------------------------+
2025-11-03T17:22:37.6323475Z | Processes:                                                                              |
2025-11-03T17:22:37.6324182Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-11-03T17:22:37.6324616Z |        ID   ID                                                               Usage      |
2025-11-03T17:22:37.6324967Z |=========================================================================================|
2025-11-03T17:22:37.6325417Z |  No running processes found                                                             |
2025-11-03T17:22:37.6325891Z +-----------------------------------------------------------------------------------------+
2025-11-03T17:22:39.2492060Z Command completed after 1 attempt(s).
2025-11-03T17:22:39.2595659Z Prepare all required actions
2025-11-03T17:22:39.2624780Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-11-03T17:22:39.2625108Z with:
2025-11-03T17:22:39.2625666Z   github-token: ***
2025-11-03T17:22:39.2625882Z env:
2025-11-03T17:22:39.2626072Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:22:39.2626380Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:22:39.2626717Z ##[endgroup]
2025-11-03T17:22:39.2650623Z ##[group]Run set -eux
2025-11-03T17:22:39.2650871Z set -eux
2025-11-03T17:22:39.2651285Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-11-03T17:22:39.2667042Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:22:39.2667414Z env:
2025-11-03T17:22:39.2667617Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:22:39.2667932Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:22:39.2668394Z   GITHUB_TOKEN: ***
2025-11-03T17:22:39.2668617Z ##[endgroup]
2025-11-03T17:22:39.2711325Z + python3 .github/scripts/get_workflow_job_id.py 19040285537 i-0c691f31c933d48d6
2025-11-03T17:22:40.3445195Z Setting output job-id=54383846930
2025-11-03T17:22:40.3445883Z Setting output job-name=inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-11-03T17:22:40.3581871Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-11-03T17:22:40.3582847Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-11-03T17:22:40.3584007Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-11-03T17:22:40.3585287Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-11-03T17:22:40.3596344Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:22:40.3596929Z env:
2025-11-03T17:22:40.3597209Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:22:40.3597631Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:22:40.3598159Z   JOB_ID: 54383846930
2025-11-03T17:22:40.3598680Z   JOB_NAME: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-11-03T17:22:40.3599216Z   WORKFLOW_NAME: inductor
2025-11-03T17:22:40.3599764Z   WORKFLOW_RUN_ID: 19040285537
2025-11-03T17:22:40.3600138Z   MONITOR_LOG_INTERVAL: 5
2025-11-03T17:22:40.3600594Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-11-03T17:22:40.3600996Z ##[endgroup]
2025-11-03T17:22:40.7406838Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T17:22:41.1562046Z Collecting psutil==5.9.8
2025-11-03T17:22:41.1723628Z   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)
2025-11-03T17:22:41.2513763Z Collecting dataclasses_json==0.6.7
2025-11-03T17:22:41.2555978Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-11-03T17:22:41.2864405Z Collecting nvidia-ml-py==11.525.84
2025-11-03T17:22:41.2896950Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-11-03T17:22:41.3239833Z Collecting typing-inspect<1,>=0.4.0
2025-11-03T17:22:41.3271446Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-11-03T17:22:41.4524288Z Collecting marshmallow<4.0.0,>=3.18.0
2025-11-03T17:22:41.4559277Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-11-03T17:22:41.5159833Z Collecting packaging>=17.0
2025-11-03T17:22:41.5196443Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-11-03T17:22:41.5441888Z Collecting mypy-extensions>=0.3.0
2025-11-03T17:22:41.5475835Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-11-03T17:22:41.5999870Z Collecting typing-extensions>=3.7.4
2025-11-03T17:22:41.6032359Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-11-03T17:22:41.6914905Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-11-03T17:22:41.9622840Z 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
2025-11-03T17:22:42.1603114Z Prepare all required actions
2025-11-03T17:22:42.1603475Z Getting action download info
2025-11-03T17:22:42.3400817Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-11-03T17:22:42.5758190Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-11-03T17:22:42.9407712Z ##[group]Run ./.github/actions/download-build-artifacts
2025-11-03T17:22:42.9408070Z with:
2025-11-03T17:22:42.9408312Z   name: linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-11-03T17:22:42.9408640Z   s3-bucket: gha-artifacts
2025-11-03T17:22:42.9408873Z env:
2025-11-03T17:22:42.9409087Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:22:42.9409403Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:22:42.9409752Z ##[endgroup]
2025-11-03T17:22:42.9447409Z ##[group]Run seemethere/download-artifact-s3@v4
2025-11-03T17:22:42.9447735Z with:
2025-11-03T17:22:42.9448011Z   name: linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-11-03T17:22:42.9448347Z   s3-bucket: gha-artifacts
2025-11-03T17:22:42.9448595Z   region: us-east-1
2025-11-03T17:22:42.9448808Z env:
2025-11-03T17:22:42.9449010Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:22:42.9449318Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:22:42.9449657Z ##[endgroup]
2025-11-03T17:22:43.4001566Z (node:59696) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-11-03T17:22:43.4002393Z 
2025-11-03T17:22:43.4002588Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-11-03T17:22:43.4003104Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-11-03T17:22:43.4003646Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-11-03T17:22:43.5955844Z Found 1 objects with prefix pytorch/pytorch/19040285537/linux-jammy-cuda12.8-py3.10-gcc9-sm86/
2025-11-03T17:22:43.5956614Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-11-03T17:22:52.2714895Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-11-03T17:22:52.2720482Z Artifact download has finished successfully
2025-11-03T17:22:52.3134324Z ##[group]Run unzip -o artifacts.zip
2025-11-03T17:22:52.3134678Z unzip -o artifacts.zip
2025-11-03T17:22:52.3143864Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:22:52.3144234Z env:
2025-11-03T17:22:52.3144460Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:22:52.3144782Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:22:52.3145135Z ##[endgroup]
2025-11-03T17:22:52.3218451Z Archive:  artifacts.zip
2025-11-03T17:22:52.3219967Z    creating: dist/
2025-11-03T17:22:54.3703207Z   inflating: dist/torch-2.10.0a0+git3f6538f-cp310-cp310-linux_x86_64.whl  
2025-11-03T17:22:54.3703670Z    creating: dist/vision/
2025-11-03T17:22:54.3827686Z   inflating: dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl  
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2025-11-03T17:23:03.0847850Z   inflating: build/bin/c10_string_util_test  
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2025-11-03T17:23:03.0956089Z   inflating: build/bin/c10_tempfile_test  
2025-11-03T17:23:03.1006338Z   inflating: build/bin/c10_intrusive_ptr_benchmark  
2025-11-03T17:23:03.1065799Z   inflating: build/bin/c10_typeid_test  
2025-11-03T17:23:03.1123756Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_1_var_test  
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2025-11-03T17:23:03.1238173Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_multiple_writes_from_blocks_and_threads  
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2025-11-03T17:23:03.1517936Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_multiple_writes_from_same_block  
2025-11-03T17:23:03.2124966Z   inflating: build/bin/vec_test_all_types_DEFAULT  
2025-11-03T17:23:03.2743745Z   inflating: build/bin/vec_test_all_types_AVX512  
2025-11-03T17:23:03.3373739Z   inflating: build/bin/vec_test_all_types_AVX2  
2025-11-03T17:23:03.3458170Z   inflating: build/bin/test_aoti_abi_check  
2025-11-03T17:23:03.3511110Z   inflating: build/bin/test_vec_half_DEFAULT  
2025-11-03T17:23:03.3565024Z   inflating: build/bin/test_vec_half_AVX512  
2025-11-03T17:23:03.3619047Z   inflating: build/bin/test_vec_half_AVX2  
2025-11-03T17:23:03.3698294Z   inflating: build/bin/Dict_test     
2025-11-03T17:23:03.3754263Z   inflating: build/bin/Dimname_test  
2025-11-03T17:23:03.3824116Z   inflating: build/bin/MaybeOwned_test  
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2025-11-03T17:23:03.3949432Z   inflating: build/bin/apply_utils_test  
2025-11-03T17:23:03.4013634Z   inflating: build/bin/atest         
2025-11-03T17:23:03.4082095Z   inflating: build/bin/basic         
2025-11-03T17:23:03.4141477Z   inflating: build/bin/broadcast_test  
2025-11-03T17:23:03.4196631Z   inflating: build/bin/cpu_allocator_test  
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2025-11-03T17:23:03.4416523Z   inflating: build/bin/cpu_rng_test  
2025-11-03T17:23:03.4472067Z   inflating: build/bin/dlconvertor_test  
2025-11-03T17:23:03.4534625Z   inflating: build/bin/extension_backend_test  
2025-11-03T17:23:03.4594673Z   inflating: build/bin/half_test     
2025-11-03T17:23:03.4697469Z   inflating: build/bin/ivalue_test   
2025-11-03T17:23:03.4751527Z   inflating: build/bin/lazy_tensor_test  
2025-11-03T17:23:03.4810317Z   inflating: build/bin/math_kernel_test  
2025-11-03T17:23:03.4869278Z   inflating: build/bin/memory_format_test  
2025-11-03T17:23:03.4927581Z   inflating: build/bin/memory_overlapping_test  
2025-11-03T17:23:03.4985615Z   inflating: build/bin/mobile_memory_cleanup  
2025-11-03T17:23:03.5045791Z   inflating: build/bin/native_test   
2025-11-03T17:23:03.5100497Z   inflating: build/bin/operator_name_test  
2025-11-03T17:23:03.5156958Z   inflating: build/bin/operators_test  
2025-11-03T17:23:03.5212534Z   inflating: build/bin/packedtensoraccessor_test  
2025-11-03T17:23:03.5284404Z   inflating: build/bin/pow_test      
2025-11-03T17:23:03.5346558Z   inflating: build/bin/quantized_test  
2025-11-03T17:23:03.5400593Z   inflating: build/bin/reduce_ops_test  
2025-11-03T17:23:03.5456389Z   inflating: build/bin/reportMemoryUsage_test  
2025-11-03T17:23:03.5517652Z   inflating: build/bin/scalar_tensor_test  
2025-11-03T17:23:03.5580878Z   inflating: build/bin/scalar_test   
2025-11-03T17:23:03.5636906Z   inflating: build/bin/StorageUtils_test  
2025-11-03T17:23:03.5693629Z   inflating: build/bin/stride_properties_test  
2025-11-03T17:23:03.5778916Z   inflating: build/bin/tensor_iterator_test  
2025-11-03T17:23:03.5838234Z   inflating: build/bin/test_parallel  
2025-11-03T17:23:03.5893755Z   inflating: build/bin/thread_init_test  
2025-11-03T17:23:03.5952663Z   inflating: build/bin/type_ptr_test  
2025-11-03T17:23:03.6016360Z   inflating: build/bin/type_test     
2025-11-03T17:23:03.6072931Z   inflating: build/bin/undefined_tensor_test  
2025-11-03T17:23:03.6126477Z   inflating: build/bin/verify_api_visibility  
2025-11-03T17:23:03.6202362Z   inflating: build/bin/legacy_vmap_test  
2025-11-03T17:23:03.6258621Z   inflating: build/bin/weakref_test  
2025-11-03T17:23:03.6314229Z   inflating: build/bin/wrapdim_test  
2025-11-03T17:23:03.6369838Z   inflating: build/bin/xla_tensor_test  
2025-11-03T17:23:03.6433631Z   inflating: build/bin/IListRef_test  
2025-11-03T17:23:03.6545904Z   inflating: build/bin/List_test     
2025-11-03T17:23:03.6616493Z   inflating: build/bin/KernelFunction_test  
2025-11-03T17:23:03.6743806Z   inflating: build/bin/kernel_function_legacy_test  
2025-11-03T17:23:03.6845925Z   inflating: build/bin/kernel_function_test  
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2025-11-03T17:23:03.7090267Z   inflating: build/bin/kernel_lambda_test  
2025-11-03T17:23:03.7155502Z   inflating: build/bin/kernel_stackbased_test  
2025-11-03T17:23:03.7256892Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2025-11-03T17:23:03.7312219Z   inflating: build/bin/CppSignature_test  
2025-11-03T17:23:03.7373001Z   inflating: build/bin/backend_fallback_test  
2025-11-03T17:23:03.7424767Z   inflating: build/bin/op_allowlist_test  
2025-11-03T17:23:03.7734258Z   inflating: build/bin/op_registration_test  
2025-11-03T17:23:03.7805049Z   inflating: build/bin/inline_container_test  
2025-11-03T17:23:03.7862839Z   inflating: build/bin/cuda_allocator_test  
2025-11-03T17:23:03.7919789Z   inflating: build/bin/cuda_apply_test  
2025-11-03T17:23:03.7983488Z   inflating: build/bin/cuda_atomic_ops_test  
2025-11-03T17:23:03.8044441Z   inflating: build/bin/cuda_caching_host_allocator_test  
2025-11-03T17:23:03.8118866Z   inflating: build/bin/cuda_complex_math_test  
2025-11-03T17:23:03.8182879Z   inflating: build/bin/cuda_complex_test  
2025-11-03T17:23:03.8249762Z   inflating: build/bin/cuda_cub_test  
2025-11-03T17:23:03.8303807Z   inflating: build/bin/cuda_device_test  
2025-11-03T17:23:03.8373753Z   inflating: build/bin/cuda_distributions_test  
2025-11-03T17:23:03.8427112Z   inflating: build/bin/cuda_exchange_device_test  
2025-11-03T17:23:03.8483668Z   inflating: build/bin/cuda_dlconvertor_test  
2025-11-03T17:23:03.8540858Z   inflating: build/bin/cuda_reportMemoryUsage_test  
2025-11-03T17:23:03.8596761Z   inflating: build/bin/cuda_integer_divider_test  
2025-11-03T17:23:03.8650109Z   inflating: build/bin/cuda_allocatorTraceTracker_test  
2025-11-03T17:23:03.8716025Z   inflating: build/bin/cuda_stream_test  
2025-11-03T17:23:03.8777684Z   inflating: build/bin/cuda_generator_test  
2025-11-03T17:23:03.8831129Z   inflating: build/bin/cuda_cudnn_test  
2025-11-03T17:23:03.8885441Z   inflating: build/bin/cuda_optional_test  
2025-11-03T17:23:03.8939341Z   inflating: build/bin/cuda_half_test  
2025-11-03T17:23:03.8995027Z   inflating: build/bin/cuda_packedtensoraccessor_test  
2025-11-03T17:23:03.9051613Z   inflating: build/bin/cuda_vectorized_test  
2025-11-03T17:23:04.0190784Z   inflating: build/bin/test_jit      
2025-11-03T17:23:04.0555518Z   inflating: build/bin/test_lazy     
2025-11-03T17:23:04.0611697Z   inflating: build/bin/BackoffTest   
2025-11-03T17:23:04.0668699Z   inflating: build/bin/FileStoreTest  
2025-11-03T17:23:04.0729979Z   inflating: build/bin/TCPStoreTest  
2025-11-03T17:23:04.0805729Z   inflating: build/bin/test_aoti_inference  
2025-11-03T17:23:04.0862953Z   inflating: build/bin/HashStoreTest  
2025-11-03T17:23:04.0877713Z   inflating: build/bin/ProcessGroupMPITest  
2025-11-03T17:23:04.0880833Z   inflating: build/bin/example_allreduce  
2025-11-03T17:23:04.0940688Z   inflating: build/bin/test_dist_autograd  
2025-11-03T17:23:04.1010999Z   inflating: build/bin/ProcessGroupGlooTest  
2025-11-03T17:23:04.1072294Z   inflating: build/bin/ProcessGroupGlooAsyncTest  
2025-11-03T17:23:04.1140951Z   inflating: build/bin/ProcessGroupNCCLTest  
2025-11-03T17:23:04.1207631Z   inflating: build/bin/ProcessGroupNCCLErrorsTest  
2025-11-03T17:23:04.1282290Z   inflating: build/bin/test_cpp_rpc  
2025-11-03T17:23:04.2504640Z   inflating: build/bin/test_api      
2025-11-03T17:23:04.2507502Z   inflating: build/bin/parallel_benchmark  
2025-11-03T17:23:04.2511335Z   inflating: build/bin/torch_shm_manager  
2025-11-03T17:23:04.2511659Z    creating: .additional_ci_files/
2025-11-03T17:23:04.2570298Z   inflating: .additional_ci_files/test-times.json  
2025-11-03T17:23:04.2784326Z   inflating: .additional_ci_files/test-class-times.json  
2025-11-03T17:23:04.2933452Z ##[group]Run rm artifacts.zip
2025-11-03T17:23:04.2933777Z rm artifacts.zip
2025-11-03T17:23:04.2943658Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:23:04.2944033Z env:
2025-11-03T17:23:04.2944238Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:23:04.2944560Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:23:04.2944910Z ##[endgroup]
2025-11-03T17:23:04.5701026Z ##[group]Run df -H
2025-11-03T17:23:04.5701345Z df -H
2025-11-03T17:23:04.5710250Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:23:04.5710623Z env:
2025-11-03T17:23:04.5710823Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:23:04.5711137Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:23:04.5711478Z ##[endgroup]
2025-11-03T17:23:04.5779840Z Filesystem        Size  Used Avail Use% Mounted on
2025-11-03T17:23:04.5780223Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-11-03T17:23:04.5780557Z tmpfs              34G     0   34G   0% /dev/shm
2025-11-03T17:23:04.5780879Z tmpfs              14G  553k   14G   1% /run
2025-11-03T17:23:04.5781409Z /dev/nvme0n1p1    161G   89G   73G  55% /
2025-11-03T17:23:04.5781724Z tmpfs              34G   13k   34G   1% /tmp
2025-11-03T17:23:04.5782062Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-11-03T17:23:04.5782409Z tmpfs             6.7G     0  6.7G   0% /run/user/0
2025-11-03T17:23:04.5822843Z Prepare all required actions
2025-11-03T17:23:04.5824014Z Getting action download info
2025-11-03T17:23:04.7728610Z ##[group]Run ./.github/actions/download-td-artifacts
2025-11-03T17:23:04.7728929Z with:
2025-11-03T17:23:04.7729107Z env:
2025-11-03T17:23:04.7729314Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:23:04.7729628Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:23:04.7729958Z ##[endgroup]
2025-11-03T17:23:04.7768798Z ##[group]Run seemethere/download-artifact-s3@v4
2025-11-03T17:23:04.7769124Z with:
2025-11-03T17:23:04.7769314Z   name: td_results
2025-11-03T17:23:04.7769541Z   s3-bucket: gha-artifacts
2025-11-03T17:23:04.7769813Z   region: us-east-1
2025-11-03T17:23:04.7770022Z env:
2025-11-03T17:23:04.7770209Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:23:04.7770520Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:23:04.7770855Z ##[endgroup]
2025-11-03T17:23:05.2492791Z (node:59721) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-11-03T17:23:05.2493735Z 
2025-11-03T17:23:05.2494100Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-11-03T17:23:05.2495091Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-11-03T17:23:05.2496200Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-11-03T17:23:05.3437645Z Found 0 objects with prefix pytorch/pytorch/19040285537/td_results/
2025-11-03T17:23:05.3443558Z Artifact download has finished successfully
2025-11-03T17:23:05.3800783Z ##[group]Run mkdir -p .additional_ci_files
2025-11-03T17:23:05.3801139Z mkdir -p .additional_ci_files
2025-11-03T17:23:05.3801572Z mv td_results.json .additional_ci_files/td_results.json || true
2025-11-03T17:23:05.3810684Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:23:05.3811040Z env:
2025-11-03T17:23:05.3811251Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:23:05.3811584Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:23:05.3811925Z ##[endgroup]
2025-11-03T17:23:05.3883815Z mv: cannot stat 'td_results.json': No such file or directory
2025-11-03T17:23:05.3987473Z ##[group]Run .github/scripts/parse_ref.py
2025-11-03T17:23:05.3987821Z .github/scripts/parse_ref.py
2025-11-03T17:23:05.3996469Z shell: /usr/bin/bash -e {0}
2025-11-03T17:23:05.3996725Z env:
2025-11-03T17:23:05.3996936Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:23:05.3997245Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:23:05.3997581Z ##[endgroup]
2025-11-03T17:23:05.4237477Z Setting output branch=main
2025-11-03T17:23:05.4377659Z Prepare all required actions
2025-11-03T17:23:05.4378021Z Getting action download info
2025-11-03T17:23:05.5685452Z ##[group]Run ./.github/actions/filter-test-configs
2025-11-03T17:23:05.5685779Z with:
2025-11-03T17:23:05.5686144Z   github-token: ***
2025-11-03T17:23:05.5687875Z   test-matrix: {"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}
2025-11-03T17:23:05.5689836Z   job-name: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-11-03T17:23:05.5690299Z env:
2025-11-03T17:23:05.5690524Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:23:05.5691003Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:23:05.5691338Z ##[endgroup]
2025-11-03T17:23:05.5734743Z ##[group]Run nick-fields/retry@v3.0.0
2025-11-03T17:23:05.5735024Z with:
2025-11-03T17:23:05.5735206Z   shell: bash
2025-11-03T17:23:05.5735410Z   timeout_minutes: 10
2025-11-03T17:23:05.5735634Z   max_attempts: 5
2025-11-03T17:23:05.5735849Z   retry_wait_seconds: 30
2025-11-03T17:23:05.5736587Z   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

2025-11-03T17:23:05.5737369Z   polling_interval_seconds: 1
2025-11-03T17:23:05.5737634Z   warning_on_retry: true
2025-11-03T17:23:05.5737873Z   continue_on_error: false
2025-11-03T17:23:05.5738105Z env:
2025-11-03T17:23:05.5738296Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:23:05.5738604Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:23:05.5739078Z   GITHUB_TOKEN: ***
2025-11-03T17:23:05.5739298Z ##[endgroup]
2025-11-03T17:23:05.6765481Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-11-03T17:23:05.9142340Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T17:23:06.0388738Z Collecting requests==2.27.1
2025-11-03T17:23:06.0559898Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-11-03T17:23:06.2559421Z Collecting pyyaml==6.0.2
2025-11-03T17:23:06.2599955Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-11-03T17:23:06.7306729Z Collecting charset-normalizer~=2.0.0
2025-11-03T17:23:06.7352747Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-11-03T17:23:06.7914374Z Collecting certifi>=2017.4.17
2025-11-03T17:23:06.7958387Z   Downloading certifi-2025.10.5-py3-none-any.whl (163 kB)
2025-11-03T17:23:06.8025055Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-11-03T17:23:06.8028886Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-11-03T17:23:06.8866379Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-11-03T17:23:07.0077788Z Successfully installed certifi-2025.10.5 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-11-03T17:23:07.6526140Z Command completed after 1 attempt(s).
2025-11-03T17:23:07.6603171Z ##[group]Run set -x
2025-11-03T17:23:07.6603502Z set -x
2025-11-03T17:23:07.6603711Z 
2025-11-03T17:23:07.6604063Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-11-03T17:23:07.6604561Z # in runner workspace
2025-11-03T17:23:07.6604967Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-11-03T17:23:07.6614213Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:23:07.6614787Z env:
2025-11-03T17:23:07.6614988Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:23:07.6615323Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:23:07.6615661Z ##[endgroup]
2025-11-03T17:23:07.6647491Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-11-03T17:23:07.6833187Z Setting output branch=main
2025-11-03T17:23:07.6896833Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-11-03T17:23:07.6897213Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-11-03T17:23:07.6897536Z echo "Job name: ${JOB_NAME}"
2025-11-03T17:23:07.6897804Z 
2025-11-03T17:23:07.6898153Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-11-03T17:23:07.6898608Z # in runner workspace
2025-11-03T17:23:07.6899017Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-11-03T17:23:07.6899493Z   --workflow "${GITHUB_WORKFLOW}" \
2025-11-03T17:23:07.6899804Z   --job-name "${JOB_NAME}" \
2025-11-03T17:23:07.6901826Z   --test-matrix "{"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}" \
2025-11-03T17:23:07.6903672Z   --selected-test-configs "" \
2025-11-03T17:23:07.6903992Z   --pr-number "${PR_NUMBER}" \
2025-11-03T17:23:07.6904289Z   --tag "${TAG}" \
2025-11-03T17:23:07.6904563Z   --event-name "${EVENT_NAME}" \
2025-11-03T17:23:07.6904867Z   --schedule "${SCHEDULE}" \
2025-11-03T17:23:07.6905221Z   --branch "${HEAD_BRANCH}"
2025-11-03T17:23:07.6914041Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:23:07.6914397Z env:
2025-11-03T17:23:07.6914590Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:23:07.6914906Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:23:07.6915575Z   GITHUB_TOKEN: ***
2025-11-03T17:23:07.6915982Z   JOB_NAME: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-11-03T17:23:07.6916446Z   PR_NUMBER: 
2025-11-03T17:23:07.6916641Z   TAG: 
2025-11-03T17:23:07.6916834Z   EVENT_NAME: push
2025-11-03T17:23:07.6917047Z   SCHEDULE: 
2025-11-03T17:23:07.6917252Z   HEAD_BRANCH: main
2025-11-03T17:23:07.6917459Z ##[endgroup]
2025-11-03T17:23:07.6948539Z Workflow: inductor
2025-11-03T17:23:07.6949108Z Job name: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-11-03T17:23:07.8777303Z Setting output keep-going=True
2025-11-03T17:23:07.8777716Z Setting output ci-verbose-test-logs=False
2025-11-03T17:23:07.8778059Z Setting output ci-test-showlocals=False
2025-11-03T17:23:07.8778390Z Setting output ci-no-test-timeout=False
2025-11-03T17:23:07.8778706Z Setting output ci-no-td=False
2025-11-03T17:23:07.8778992Z Setting output ci-td-distributed=False
2025-11-03T17:23:07.8779305Z Setting output is-unstable=False
2025-11-03T17:23:07.8779585Z Setting output reenabled-issues=
2025-11-03T17:23:07.8781448Z Setting output test-matrix={"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}
2025-11-03T17:23:07.8783625Z Setting output is-test-matrix-empty=False
2025-11-03T17:23:07.8927688Z ##[group]Run echo "Filtered matrix:"
2025-11-03T17:23:07.8928013Z echo "Filtered matrix:"
2025-11-03T17:23:07.8929789Z echo "{"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}"
2025-11-03T17:23:07.8931756Z 
2025-11-03T17:23:07.8931948Z echo
2025-11-03T17:23:07.8932211Z echo "Is the current job unstable? False"
2025-11-03T17:23:07.8932601Z 
2025-11-03T17:23:07.8932795Z echo
2025-11-03T17:23:07.8933044Z echo "Is keep-going label set? True"
2025-11-03T17:23:07.8933538Z 
2025-11-03T17:23:07.8933734Z echo
2025-11-03T17:23:07.8933957Z echo "Reenabled issues? "
2025-11-03T17:23:07.8943195Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:23:07.8943557Z env:
2025-11-03T17:23:07.8943760Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:23:07.8944098Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:23:07.8944433Z ##[endgroup]
2025-11-03T17:23:07.8973616Z Filtered matrix:
2025-11-03T17:23:07.8975461Z {include: [{config: inductor_huggingface, shard: 1, num_shards: 1, runner: linux.g5.4xlarge.nvidia.gpu}, {config: inductor_timm, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: inductor_timm, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: inductor_torchbench, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: inductor_torchbench, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}]}
2025-11-03T17:23:07.8977322Z 
2025-11-03T17:23:07.8977455Z Is the current job unstable? False
2025-11-03T17:23:07.8977652Z 
2025-11-03T17:23:07.8977760Z Is keep-going label set? True
2025-11-03T17:23:07.8977935Z 
2025-11-03T17:23:07.8978026Z Reenabled issues? 
2025-11-03T17:23:07.9024665Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-11-03T17:23:07.9025340Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-11-03T17:23:07.9034133Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:23:07.9034700Z env:
2025-11-03T17:23:07.9035018Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:23:07.9035409Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:23:07.9035938Z   JOB_TIMEOUT: 240
2025-11-03T17:23:07.9036261Z ##[endgroup]
2025-11-03T17:23:07.9108519Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T17:23:07.9109169Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T17:23:07.9109769Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T17:23:07.9119107Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T17:23:07.9119644Z env:
2025-11-03T17:23:07.9119923Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:23:07.9120379Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:23:07.9120888Z ##[endgroup]
2025-11-03T17:23:07.9264481Z ##[group]Run set -x
2025-11-03T17:23:07.9264811Z set -x
2025-11-03T17:23:07.9265022Z 
2025-11-03T17:23:07.9265259Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-11-03T17:23:07.9265635Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-11-03T17:23:07.9266005Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-11-03T17:23:07.9266358Z   TEST_COMMAND=.ci/onnx/test.sh
2025-11-03T17:23:07.9266648Z else
2025-11-03T17:23:07.9266885Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-11-03T17:23:07.9267168Z fi
2025-11-03T17:23:07.9267364Z 
2025-11-03T17:23:07.9267620Z # Leaving 1GB for the runner and other things
2025-11-03T17:23:07.9268179Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-11-03T17:23:07.9269009Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-11-03T17:23:07.9269685Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-11-03T17:23:07.9270187Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-11-03T17:23:07.9270586Z 
2025-11-03T17:23:07.9270843Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-11-03T17:23:07.9271170Z   SHM_OPTS=
2025-11-03T17:23:07.9271399Z   JENKINS_USER=
2025-11-03T17:23:07.9271727Z   # ensure that docker container cleanly exits in 12 hours
2025-11-03T17:23:07.9272175Z   # if for some reason cleanup action doesn't stop container
2025-11-03T17:23:07.9272746Z   # when job is cancelled
2025-11-03T17:23:07.9273038Z   DOCKER_SHELL_CMD="sleep 12h"
2025-11-03T17:23:07.9273316Z else
2025-11-03T17:23:07.9273547Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-11-03T17:23:07.9273864Z   JENKINS_USER="--user jenkins"
2025-11-03T17:23:07.9274169Z   DOCKER_SHELL_CMD=
2025-11-03T17:23:07.9274401Z fi
2025-11-03T17:23:07.9274649Z 
2025-11-03T17:23:07.9275079Z # detached container should get cleaned up by teardown_ec2_linux
2025-11-03T17:23:07.9275616Z # TODO: Stop building test binaries as part of the build phase
2025-11-03T17:23:07.9276188Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-11-03T17:23:07.9276683Z # shellcheck disable=SC2086,SC2090
2025-11-03T17:23:07.9277009Z container_name=$(docker run \
2025-11-03T17:23:07.9277317Z   ${GPU_FLAG:-} \
2025-11-03T17:23:07.9277606Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-11-03T17:23:07.9277930Z   -e BUILD_ENVIRONMENT \
2025-11-03T17:23:07.9278214Z   -e PR_NUMBER \
2025-11-03T17:23:07.9278473Z   -e GITHUB_ACTIONS \
2025-11-03T17:23:07.9278745Z   -e GITHUB_REPOSITORY \
2025-11-03T17:23:07.9279032Z   -e GITHUB_WORKFLOW \
2025-11-03T17:23:07.9279304Z   -e GITHUB_JOB \
2025-11-03T17:23:07.9279566Z   -e GITHUB_RUN_ID \
2025-11-03T17:23:07.9279831Z   -e GITHUB_RUN_NUMBER \
2025-11-03T17:23:07.9280113Z   -e GITHUB_RUN_ATTEMPT \
2025-11-03T17:23:07.9280393Z   -e JOB_ID \
2025-11-03T17:23:07.9280636Z   -e JOB_NAME \
2025-11-03T17:23:07.9280877Z   -e BASE_SHA \
2025-11-03T17:23:07.9281112Z   -e BRANCH \
2025-11-03T17:23:07.9281344Z   -e SHA1 \
2025-11-03T17:23:07.9281581Z   -e AWS_DEFAULT_REGION \
2025-11-03T17:23:07.9281856Z   -e IN_WHEEL_TEST \
2025-11-03T17:23:07.9282110Z   -e SHARD_NUMBER \
2025-11-03T17:23:07.9282365Z   -e TEST_CONFIG \
2025-11-03T17:23:07.9282630Z   -e NUM_TEST_SHARDS \
2025-11-03T17:23:07.9282908Z   -e REENABLED_ISSUES \
2025-11-03T17:23:07.9283190Z   -e CONTINUE_THROUGH_ERROR \
2025-11-03T17:23:07.9283616Z   -e VERBOSE_TEST_LOGS \
2025-11-03T17:23:07.9283898Z   -e TEST_SHOWLOCALS \
2025-11-03T17:23:07.9284177Z   -e NO_TEST_TIMEOUT \
2025-11-03T17:23:07.9284443Z   -e NO_TD \
2025-11-03T17:23:07.9284678Z   -e TD_DISTRIBUTED \
2025-11-03T17:23:07.9284947Z   -e PR_LABELS \
2025-11-03T17:23:07.9285229Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-11-03T17:23:07.9285548Z   -e SCCACHE_BUCKET \
2025-11-03T17:23:07.9285812Z   -e SCCACHE_REGION \
2025-11-03T17:23:07.9286074Z   -e XLA_CUDA \
2025-11-03T17:23:07.9286354Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-11-03T17:23:07.9286703Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-11-03T17:23:07.9287044Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-11-03T17:23:07.9287395Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-11-03T17:23:07.9287727Z   -e HUGGING_FACE_HUB_TOKEN \
2025-11-03T17:23:07.9288052Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-11-03T17:23:07.9288373Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-11-03T17:23:07.9288681Z   -e DASHBOARD_TAG \
2025-11-03T17:23:07.9288964Z   -e ARTIFACTS_FILE_SUFFIX \
2025-11-03T17:23:07.9289318Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-11-03T17:23:07.9289722Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-11-03T17:23:07.9290110Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-11-03T17:23:07.9290493Z   --security-opt seccomp=unconfined \
2025-11-03T17:23:07.9290822Z   --cap-add=SYS_PTRACE \
2025-11-03T17:23:07.9291195Z   --ipc=host \
2025-11-03T17:23:07.9291435Z   ${SHM_OPTS} \
2025-11-03T17:23:07.9291677Z   --tty \
2025-11-03T17:23:07.9291911Z   --detach \
2025-11-03T17:23:07.9292169Z   --name="${container_name}" \
2025-11-03T17:23:07.9292562Z   ${JENKINS_USER} \
2025-11-03T17:23:07.9292901Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-11-03T17:23:07.9293285Z   -w /var/lib/jenkins/workspace \
2025-11-03T17:23:07.9293593Z   "${DOCKER_IMAGE}" \
2025-11-03T17:23:07.9293856Z   ${DOCKER_SHELL_CMD}
2025-11-03T17:23:07.9294117Z )
2025-11-03T17:23:07.9294448Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-11-03T17:23:07.9294855Z 
2025-11-03T17:23:07.9295115Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-11-03T17:23:07.9295671Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-11-03T17:23:07.9296184Z fi
2025-11-03T17:23:07.9296384Z 
2025-11-03T17:23:07.9296853Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-11-03T17:23:07.9305968Z shell: /usr/bin/bash -e {0}
2025-11-03T17:23:07.9306224Z env:
2025-11-03T17:23:07.9306438Z   GIT_DEFAULT_BRANCH: main
2025-11-03T17:23:07.9306758Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:23:07.9307187Z   BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-11-03T17:23:07.9307551Z   PR_NUMBER: 
2025-11-03T17:23:07.9307790Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-11-03T17:23:07.9308094Z   GITHUB_WORKFLOW: inductor
2025-11-03T17:23:07.9308348Z   GITHUB_JOB: test
2025-11-03T17:23:07.9308579Z   GITHUB_RUN_ID: 19040285537
2025-11-03T17:23:07.9308839Z   GITHUB_RUN_NUMBER: 163246
2025-11-03T17:23:07.9309094Z   GITHUB_RUN_ATTEMPT: 1
2025-11-03T17:23:07.9309332Z   JOB_ID: 54383846930
2025-11-03T17:23:07.9309746Z   JOB_NAME: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-11-03T17:23:07.9310217Z   BRANCH: main
2025-11-03T17:23:07.9310468Z   SHA1: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T17:23:07.9310833Z   BASE_SHA: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T17:23:07.9311278Z   TEST_CONFIG: inductor_torchbench
2025-11-03T17:23:07.9311560Z   SHARD_NUMBER: 2
2025-11-03T17:23:07.9311780Z   NUM_TEST_SHARDS: 2
2025-11-03T17:23:07.9312003Z   EXTRA_FLAGS: 
2025-11-03T17:23:07.9312220Z   OP_BENCHMARK_TESTS: 
2025-11-03T17:23:07.9312458Z   REENABLED_ISSUES: 
2025-11-03T17:23:07.9312700Z   CONTINUE_THROUGH_ERROR: True
2025-11-03T17:23:07.9312974Z   VERBOSE_TEST_LOGS: False
2025-11-03T17:23:07.9313222Z   TEST_SHOWLOCALS: False
2025-11-03T17:23:07.9313474Z   NO_TEST_TIMEOUT: False
2025-11-03T17:23:07.9313721Z   NO_TD: False
2025-11-03T17:23:07.9313941Z   TD_DISTRIBUTED: False
2025-11-03T17:23:07.9314241Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-11-03T17:23:07.9314605Z   SCCACHE_REGION: us-east-1
2025-11-03T17:23:07.9314860Z   SHM_SIZE: 2g
2025-11-03T17:23:07.9315761Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:23:07.9316708Z   XLA_CUDA: 
2025-11-03T17:23:07.9317068Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-11-03T17:23:07.9317514Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-11-03T17:23:07.9317827Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-11-03T17:23:07.9318127Z   DASHBOARD_TAG: 
2025-11-03T17:23:07.9318538Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-11-03T17:23:07.9318941Z   HUGGING_FACE_HUB_TOKEN: ***
2025-11-03T17:23:07.9319346Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-11-03T17:23:07.9319852Z   ARTIFACTS_FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_54383846930
2025-11-03T17:23:07.9320368Z ##[endgroup]
2025-11-03T17:23:07.9350980Z + [[ inductor_torchbench == \m\u\l\t\i\g\p\u ]]
2025-11-03T17:23:07.9351796Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *onnx* ]]
2025-11-03T17:23:07.9352283Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-11-03T17:23:07.9355466Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-11-03T17:23:07.9387814Z + TOTAL_AVAILABLE_MEMORY_IN_GB='61.094 '
2025-11-03T17:23:07.9388160Z + TOTAL_MEMORY_WITH_SWAP=64
2025-11-03T17:23:07.9388502Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *\s\3\9\0\x* ]]
2025-11-03T17:23:07.9388900Z + SHM_OPTS=--shm-size=2g
2025-11-03T17:23:07.9389159Z + JENKINS_USER='--user jenkins'
2025-11-03T17:23:07.9389427Z + DOCKER_SHELL_CMD=
2025-11-03T17:23:07.9398395Z +++ nproc --ignore=2
2025-11-03T17:23:07.9425601Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=14 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=61g --memory-swap=64g --env-file=/tmp/github_env_19040285537 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T17:23:18.3870859Z + container_name=19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T17:23:18.3871569Z + echo DOCKER_CONTAINER_ID=19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T17:23:18.3872616Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *\s\3\9\0\x* ]]
2025-11-03T17:23:18.3880082Z ++ echo dist/torch-2.10.0a0+git3f6538f-cp310-cp310-linux_x86_64.whl
2025-11-03T17:23:18.3883399Z + docker exec -t 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe sh -c 'python3 -m pip install dist/torch-2.10.0a0+git3f6538f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-11-03T17:23:18.9532392Z Processing ./dist/torch-2.10.0a0+git3f6538f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+git3f6538f)
2025-11-03T17:23:19.2729760Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (3.18.0)
2025-11-03T17:23:19.2732197Z 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+git3f6538f->torch==2.10.0a0+git3f6538f) (4.15.0)
2025-11-03T17:23:19.2737429Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (1.13.3)
2025-11-03T17:23:19.2741895Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (2.8.8)
2025-11-03T17:23:19.2745636Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (3.1.6)
2025-11-03T17:23:19.2749790Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (2025.9.0)
2025-11-03T17:23:19.2762695Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (3.3.0)
2025-11-03T17:23:19.3145383Z 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+git3f6538f->torch==2.10.0a0+git3f6538f) (1.22.4)
2025-11-03T17:23:19.3164076Z 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+git3f6538f->torch==2.10.0a0+git3f6538f) (1.3.0)
2025-11-03T17:23:19.3222541Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (3.0.3)
2025-11-03T17:23:20.2515902Z Installing collected packages: torch
2025-11-03T17:23:31.4982882Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
2025-11-03T17:23:31.4983803Z dall-e 0.1 requires torchvision, which is not installed.
2025-11-03T17:23:31.4984224Z effdet 0.4.1 requires torchvision, which is not installed.
2025-11-03T17:23:31.4984721Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed.
2025-11-03T17:23:31.4985322Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed.
2025-11-03T17:23:31.4986047Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed.
2025-11-03T17:23:31.4986774Z timm 1.0.14 requires torchvision, which is not installed.
2025-11-03T17:23:31.4987274Z Successfully installed torch-2.10.0a0+git3f6538f
2025-11-03T17:23:31.6194616Z + export TERM=vt100
2025-11-03T17:23:31.6195150Z + TERM=vt100
2025-11-03T17:23:31.6197571Z ++ dirname .ci/pytorch/test.sh
2025-11-03T17:23:31.6431689Z + source .ci/pytorch/common.sh
2025-11-03T17:23:31.6490356Z +++ dirname .ci/pytorch/common.sh
2025-11-03T17:23:31.6500656Z ++ source .ci/pytorch/common_utils.sh
2025-11-03T17:23:31.6548355Z +++ declare -f -t trap_add
2025-11-03T17:23:31.6552828Z ++ set -ex -o pipefail
2025-11-03T17:23:31.6553272Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]]
2025-11-03T17:23:31.6553740Z ++ BUILD_TEST_LIBTORCH=0
2025-11-03T17:23:31.6611913Z ++ dirname .ci/pytorch/test.sh
2025-11-03T17:23:31.6736498Z + source .ci/pytorch/common-build.sh
2025-11-03T17:23:31.6794026Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *win-* ]]
2025-11-03T17:23:31.6800632Z ++++ dirname .ci/pytorch/common-build.sh
2025-11-03T17:23:31.6811159Z +++ cd .ci/pytorch
2025-11-03T17:23:31.6811419Z +++ pwd -P
2025-11-03T17:23:31.6814393Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-11-03T17:23:31.6814891Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *-pch* ]]
2025-11-03T17:23:31.6815269Z ++ which sccache
2025-11-03T17:23:31.6923703Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-11-03T17:23:31.6924035Z ++ sccache --stop-server
2025-11-03T17:23:31.6955339Z ++ true
2025-11-03T17:23:31.6955574Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-11-03T17:23:31.7100490Z ++ trap_add sccache_epilogue EXIT
2025-11-03T17:23:31.7101238Z ++ trap_add_cmd=sccache_epilogue
2025-11-03T17:23:31.7101645Z ++ shift
2025-11-03T17:23:31.7101863Z ++ for trap_add_name in "$@"
2025-11-03T17:23:31.7107169Z ++++ trap -p EXIT
2025-11-03T17:23:31.7110297Z +++ eval 'extract_trap_cmd '
2025-11-03T17:23:31.7110636Z ++++ extract_trap_cmd
2025-11-03T17:23:31.7110870Z ++++ printf '%s\n' ''
2025-11-03T17:23:31.7111108Z +++ printf '%s\n' sccache_epilogue
2025-11-03T17:23:31.7114963Z ++ trap -- '
2025-11-03T17:23:31.7115242Z sccache_epilogue' EXIT
2025-11-03T17:23:31.7115486Z ++ [[ -n 1 ]]
2025-11-03T17:23:31.7115901Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-11-03T17:23:31.7116470Z Skipping sccache server initialization, setting environment variables
2025-11-03T17:23:31.7116895Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-11-03T17:23:31.7117484Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-11-03T17:23:31.7117810Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T17:23:31.7118228Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T17:23:31.7123978Z ++ export RUST_LOG=sccache::server=error
2025-11-03T17:23:31.7124319Z ++ RUST_LOG=sccache::server=error
2025-11-03T17:23:31.7124597Z ++ sccache --zero-stats
2025-11-03T17:23:32.3400271Z Statistics zeroed.
2025-11-03T17:23:32.3408783Z ++ which ccache
2025-11-03T17:23:32.3436811Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *rocm* ]]
2025-11-03T17:23:32.3437248Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *s390x* ]]
2025-11-03T17:23:32.3437623Z + [[ -d /var/lib/jenkins/workspace ]]
2025-11-03T17:23:32.3440927Z ++ stat -c %u /var/lib/jenkins/workspace
2025-11-03T17:23:32.3556981Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-11-03T17:23:32.3557320Z + trap_add cleanup_workspace EXIT
2025-11-03T17:23:32.3557641Z + trap_add_cmd=cleanup_workspace
2025-11-03T17:23:32.3557956Z + shift
2025-11-03T17:23:32.3558171Z + for trap_add_name in "$@"
2025-11-03T17:23:32.3565521Z +++ trap -p EXIT
2025-11-03T17:23:32.3569860Z ++ eval 'extract_trap_cmd trap -- '\''
2025-11-03T17:23:32.3570597Z sccache_epilogue'\'' EXIT'
2025-11-03T17:23:32.3571005Z +++ extract_trap_cmd trap -- '
2025-11-03T17:23:32.3571346Z sccache_epilogue' EXIT
2025-11-03T17:23:32.3571589Z +++ printf '%s\n' '
2025-11-03T17:23:32.3571812Z sccache_epilogue'
2025-11-03T17:23:32.3572051Z ++ printf '%s\n' cleanup_workspace
2025-11-03T17:23:32.3574826Z + trap -- '
2025-11-03T17:23:32.3575102Z sccache_epilogue
2025-11-03T17:23:32.3575334Z cleanup_workspace' EXIT
2025-11-03T17:23:32.3575651Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-11-03T17:23:33.5805462Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-11-03T17:23:33.5917633Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *cuda* ]]
2025-11-03T17:23:33.5921330Z ++ python -c 'import os;import numba.cuda; print(os.path.dirname(numba.cuda.__file__))'
2025-11-03T17:23:33.9591550Z + NUMBA_CUDA_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-11-03T17:23:33.9592151Z + '[' -n /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ']'
2025-11-03T17:23:33.9598313Z +++ realpath .ci/pytorch/test.sh
2025-11-03T17:23:33.9621254Z ++ dirname /var/lib/jenkins/workspace/.ci/pytorch/test.sh
2025-11-03T17:23:33.9632257Z + NUMBA_PATCH=/var/lib/jenkins/workspace/.ci/pytorch/numba-cuda-13.patch
2025-11-03T17:23:33.9632941Z + pushd /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-11-03T17:23:33.9634176Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ~/workspace
2025-11-03T17:23:33.9634670Z + patch -p4
2025-11-03T17:23:33.9673887Z patching file cudadrv/driver.py
2025-11-03T17:23:33.9678689Z + popd
2025-11-03T17:23:33.9678939Z ~/workspace
2025-11-03T17:23:33.9679151Z + echo 'Environment variables:'
2025-11-03T17:23:33.9679423Z Environment variables:
2025-11-03T17:23:33.9679650Z + env
2025-11-03T17:23:33.9700689Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T17:23:33.9701536Z CONTINUE_THROUGH_ERROR=True
2025-11-03T17:23:33.9701994Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-11-03T17:23:33.9702655Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-11-03T17:23:33.9703001Z HOSTNAME=19b570e6190c
2025-11-03T17:23:33.9703609Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_94276c60-dddb-4dd8-b98f-3c431d20ec74
2025-11-03T17:23:33.9704223Z GITHUB_ACTION=__run_3
2025-11-03T17:23:33.9704469Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-11-03T17:23:33.9704753Z GITHUB_RUN_NUMBER=163246
2025-11-03T17:23:33.9705010Z TEST_CONFIG=inductor_torchbench
2025-11-03T17:23:33.9705281Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-11-03T17:23:33.9705590Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-11-03T17:23:33.9705908Z SCCACHE_IDLE_TIMEOUT=0
2025-11-03T17:23:33.9706274Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-11-03T17:23:33.9706558Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-11-03T17:23:33.9707220Z GITHUB_REF_TYPE=branch
2025-11-03T17:23:33.9707499Z BASE_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T17:23:33.9718978Z XLA_CUDA=
2025-11-03T17:23:33.9719229Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-11-03T17:23:33.9719655Z HUGGING_FACE_HUB_TOKEN=***
2025-11-03T17:23:33.9720136Z ***
2025-11-03T17:23:33.9720353Z GITHUB_REPOSITORY_ID=65600975
2025-11-03T17:23:33.9720619Z GITHUB_ACTIONS=true
2025-11-03T17:23:33.9720852Z NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:23:33.9721174Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T17:23:33.9721550Z SHA1=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T17:23:33.9721903Z GITHUB_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T17:23:33.9722407Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-11-03T17:23:33.9722857Z UCC_HOME=/usr
2025-11-03T17:23:33.9723074Z VERBOSE_TEST_LOGS=False
2025-11-03T17:23:33.9723319Z GITHUB_REF=refs/heads/main
2025-11-03T17:23:33.9723564Z SHARD_NUMBER=2
2025-11-03T17:23:33.9723784Z GITHUB_REF_PROTECTED=true
2025-11-03T17:23:33.9724031Z HOME=/var/lib/jenkins
2025-11-03T17:23:33.9724325Z GITHUB_API_URL=https://api.github.com
2025-11-03T17:23:33.9724648Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-11-03T17:23:33.9724973Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152
2025-11-03T17:23:33.9725294Z USE_SYSTEM_NCCL=1
2025-11-03T17:23:33.9725512Z NUM_TEST_SHARDS=2
2025-11-03T17:23:33.9725723Z UCX_HOME=/usr
2025-11-03T17:23:33.9726267Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_94276c60-dddb-4dd8-b98f-3c431d20ec74
2025-11-03T17:23:33.9727049Z JOB_NAME=inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-11-03T17:23:33.9727820Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_94276c60-dddb-4dd8-b98f-3c431d20ec74
2025-11-03T17:23:33.9728593Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-11-03T17:23:33.9729072Z GITHUB_EVENT_NAME=push
2025-11-03T17:23:33.9729293Z DASHBOARD_TAG=
2025-11-03T17:23:33.9729498Z GITHUB_RUN_ID=19040285537
2025-11-03T17:23:33.9729738Z INSTALLED_OPENBLAS=
2025-11-03T17:23:33.9730536Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_94276c60-dddb-4dd8-b98f-3c431d20ec74
2025-11-03T17:23:33.9731538Z GITHUB_ACTOR=pytorchmergebot
2025-11-03T17:23:33.9731838Z PR_NUMBER=
2025-11-03T17:23:33.9732039Z DESIRED_CUDA=12.8.1
2025-11-03T17:23:33.9732332Z GITHUB_RUN_ATTEMPT=1
2025-11-03T17:23:33.9732562Z ANACONDA_PYTHON_VERSION=3.10
2025-11-03T17:23:33.9732876Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-11-03T17:23:33.9733204Z TERM=vt100
2025-11-03T17:23:33.9733399Z INSTALLED_VISION=yes
2025-11-03T17:23:33.9733617Z BRANCH=main
2025-11-03T17:23:33.9733818Z SCCACHE_REGION=us-east-1
2025-11-03T17:23:33.9734072Z OPENSSL_ROOT_DIR=/opt/openssl
2025-11-03T17:23:33.9734336Z BUILD_AOT_INDUCTOR_TEST=yes
2025-11-03T17:23:33.9734582Z CUDA_PATH=/usr/local/cuda
2025-11-03T17:23:33.9735081Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-11-03T17:23:33.9735633Z GITHUB_SERVER_URL=https://github.com
2025-11-03T17:23:33.9735972Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96
2025-11-03T17:23:33.9736287Z REENABLED_ISSUES=
2025-11-03T17:23:33.9736503Z DOCS=
2025-11-03T17:23:33.9736684Z SHLVL=1
2025-11-03T17:23:33.9736864Z MAX_JOBS=14
2025-11-03T17:23:33.9737058Z GITHUB_ACTOR_ID=97764156
2025-11-03T17:23:33.9737380Z GITHUB_WORKFLOW_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T17:23:33.9737740Z GITHUB_REF_NAME=main
2025-11-03T17:23:33.9738099Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-11-03T17:23:33.9738495Z GITHUB_JOB=test
2025-11-03T17:23:33.9738706Z NO_TEST_TIMEOUT=False
2025-11-03T17:23:33.9738934Z TD_DISTRIBUTED=False
2025-11-03T17:23:33.9739180Z GITHUB_REPOSITORY=pytorch/pytorch
2025-11-03T17:23:33.9739448Z GITHUB_RETENTION_DAYS=90
2025-11-03T17:23:33.9739846Z OPENSSL_DIR=/opt/openssl
2025-11-03T17:23:33.9740094Z GITHUB_ACTION_REPOSITORY=
2025-11-03T17:23:33.9740842Z 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
2025-11-03T17:23:33.9741600Z GITHUB_BASE_REF=
2025-11-03T17:23:33.9741820Z INSTALLED_ACL=
2025-11-03T17:23:33.9742255Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_54383846930
2025-11-03T17:23:33.9742751Z CI=true
2025-11-03T17:23:33.9742948Z GITHUB_REPOSITORY_OWNER=pytorch
2025-11-03T17:23:33.9743249Z RUST_LOG=sccache::server=error
2025-11-03T17:23:33.9743499Z JOB_ID=54383846930
2025-11-03T17:23:33.9743708Z GITHUB_HEAD_REF=
2025-11-03T17:23:33.9743910Z GITHUB_ACTION_REF=
2025-11-03T17:23:33.9744172Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-11-03T17:23:33.9744506Z TEST_SHOWLOCALS=False
2025-11-03T17:23:33.9744744Z GITHUB_WORKFLOW=inductor
2025-11-03T17:23:33.9744986Z DEBIAN_FRONTEND=noninteractive
2025-11-03T17:23:33.9745588Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_94276c60-dddb-4dd8-b98f-3c431d20ec74
2025-11-03T17:23:33.9746198Z NO_TD=False
2025-11-03T17:23:33.9746410Z SKIP_SCCACHE_INITIALIZATION=1
2025-11-03T17:23:33.9746684Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-11-03T17:23:33.9746977Z _=/usr/bin/env
2025-11-03T17:23:33.9747309Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-11-03T17:23:33.9747803Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-11-03T17:23:33.9957371Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-11-03T17:23:33.9958089Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-11-03T17:23:33.9958652Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-11-03T17:23:33.9959331Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-11-03T17:23:33.9959886Z + BUILD_DIR=build
2025-11-03T17:23:33.9960111Z + BUILD_RENAMED_DIR=build_renamed
2025-11-03T17:23:33.9960400Z + BUILD_BIN_DIR=build/bin
2025-11-03T17:23:33.9960739Z + SHARD_NUMBER=2
2025-11-03T17:23:33.9961047Z + NUM_TEST_SHARDS=2
2025-11-03T17:23:33.9961329Z + export TORCH_SERIALIZATION_DEBUG=1
2025-11-03T17:23:33.9961845Z + TORCH_SERIALIZATION_DEBUG=1
2025-11-03T17:23:33.9962114Z + export VALGRIND=ON
2025-11-03T17:23:33.9962332Z + VALGRIND=ON
2025-11-03T17:23:33.9962615Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *clang9* ]]
2025-11-03T17:23:33.9963035Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *xpu* ]]
2025-11-03T17:23:33.9963372Z + detect_cuda_arch
2025-11-03T17:23:33.9963651Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *cuda* ]]
2025-11-03T17:23:33.9963989Z + command -v nvidia-smi
2025-11-03T17:23:33.9964222Z /usr/bin/nvidia-smi
2025-11-03T17:23:33.9968355Z ++ nvidia-smi --query-gpu=compute_cap --format=csv
2025-11-03T17:23:33.9970417Z ++ tail -n 1
2025-11-03T17:23:34.0214638Z + TORCH_CUDA_ARCH_LIST=8.6
2025-11-03T17:23:34.0215184Z + export TORCH_CUDA_ARCH_LIST
2025-11-03T17:23:34.0215840Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *s390x* ]]
2025-11-03T17:23:34.0216516Z + [[ 0 == \1 ]]
2025-11-03T17:23:34.0216925Z + [[ True == \1 ]]
2025-11-03T17:23:34.0217376Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *bazel* ]]
2025-11-03T17:23:34.0218298Z ++ realpath build/custom_test_artifacts
2025-11-03T17:23:34.0238894Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-11-03T17:23:34.0239364Z + [[ -n '' ]]
2025-11-03T17:23:34.0239577Z + echo 'Environment variables'
2025-11-03T17:23:34.0239849Z Environment variables
2025-11-03T17:23:34.0240066Z + env
2025-11-03T17:23:34.0257855Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T17:23:34.0258705Z CONTINUE_THROUGH_ERROR=True
2025-11-03T17:23:34.0259232Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-11-03T17:23:34.0259959Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-11-03T17:23:34.0260466Z HOSTNAME=19b570e6190c
2025-11-03T17:23:34.0261075Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_94276c60-dddb-4dd8-b98f-3c431d20ec74
2025-11-03T17:23:34.0261688Z GITHUB_ACTION=__run_3
2025-11-03T17:23:34.0261943Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-11-03T17:23:34.0262226Z GITHUB_RUN_NUMBER=163246
2025-11-03T17:23:34.0262489Z TEST_CONFIG=inductor_torchbench
2025-11-03T17:23:34.0262771Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-11-03T17:23:34.0263079Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-11-03T17:23:34.0263373Z SCCACHE_IDLE_TIMEOUT=0
2025-11-03T17:23:34.0263754Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-11-03T17:23:34.0264044Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-11-03T17:23:34.0264345Z GITHUB_REF_TYPE=branch
2025-11-03T17:23:34.0264584Z TORCH_CUDA_ARCH_LIST=8.6
2025-11-03T17:23:34.0264866Z BASE_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T17:23:34.0265187Z XLA_CUDA=
2025-11-03T17:23:34.0265403Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-11-03T17:23:34.0265985Z HUGGING_FACE_HUB_TOKEN=***
2025-11-03T17:23:34.0266297Z ***
2025-11-03T17:23:34.0266500Z GITHUB_REPOSITORY_ID=65600975
2025-11-03T17:23:34.0266771Z GITHUB_ACTIONS=true
2025-11-03T17:23:34.0267013Z NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T17:23:34.0267336Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T17:23:34.0267713Z SHA1=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T17:23:34.0268074Z GITHUB_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T17:23:34.0268586Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-11-03T17:23:34.0269044Z UCC_HOME=/usr
2025-11-03T17:23:34.0269260Z TORCH_SERIALIZATION_DEBUG=1
2025-11-03T17:23:34.0269521Z VERBOSE_TEST_LOGS=False
2025-11-03T17:23:34.0269761Z GITHUB_REF=refs/heads/main
2025-11-03T17:23:34.0270010Z SHARD_NUMBER=2
2025-11-03T17:23:34.0270234Z GITHUB_REF_PROTECTED=true
2025-11-03T17:23:34.0270488Z HOME=/var/lib/jenkins
2025-11-03T17:23:34.0270752Z GITHUB_API_URL=https://api.github.com
2025-11-03T17:23:34.0271066Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-11-03T17:23:34.0271397Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152
2025-11-03T17:23:34.0271723Z USE_SYSTEM_NCCL=1
2025-11-03T17:23:34.0271946Z NUM_TEST_SHARDS=2
2025-11-03T17:23:34.0272149Z UCX_HOME=/usr
2025-11-03T17:23:34.0272840Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_94276c60-dddb-4dd8-b98f-3c431d20ec74
2025-11-03T17:23:34.0273645Z JOB_NAME=inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-11-03T17:23:34.0274409Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_94276c60-dddb-4dd8-b98f-3c431d20ec74
2025-11-03T17:23:34.0275181Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-11-03T17:23:34.0275659Z GITHUB_EVENT_NAME=push
2025-11-03T17:23:34.0275896Z DASHBOARD_TAG=
2025-11-03T17:23:34.0276103Z GITHUB_RUN_ID=19040285537
2025-11-03T17:23:34.0276354Z INSTALLED_OPENBLAS=
2025-11-03T17:23:34.0276942Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_94276c60-dddb-4dd8-b98f-3c431d20ec74
2025-11-03T17:23:34.0277652Z GITHUB_ACTOR=pytorchmergebot
2025-11-03T17:23:34.0277922Z PR_NUMBER=
2025-11-03T17:23:34.0278127Z DESIRED_CUDA=12.8.1
2025-11-03T17:23:34.0278355Z GITHUB_RUN_ATTEMPT=1
2025-11-03T17:23:34.0278581Z VALGRIND=ON
2025-11-03T17:23:34.0278811Z ANACONDA_PYTHON_VERSION=3.10
2025-11-03T17:23:34.0279121Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-11-03T17:23:34.0279448Z TERM=vt100
2025-11-03T17:23:34.0279649Z INSTALLED_VISION=yes
2025-11-03T17:23:34.0279878Z BRANCH=main
2025-11-03T17:23:34.0280074Z SCCACHE_REGION=us-east-1
2025-11-03T17:23:34.0280334Z OPENSSL_ROOT_DIR=/opt/openssl
2025-11-03T17:23:34.0280602Z BUILD_AOT_INDUCTOR_TEST=yes
2025-11-03T17:23:34.0280864Z CUDA_PATH=/usr/local/cuda
2025-11-03T17:23:34.0281354Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-11-03T17:23:34.0282012Z GITHUB_SERVER_URL=https://github.com
2025-11-03T17:23:34.0282352Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96
2025-11-03T17:23:34.0282683Z REENABLED_ISSUES=
2025-11-03T17:23:34.0282889Z DOCS=
2025-11-03T17:23:34.0283082Z SHLVL=1
2025-11-03T17:23:34.0283266Z MAX_JOBS=14
2025-11-03T17:23:34.0283474Z GITHUB_ACTOR_ID=97764156
2025-11-03T17:23:34.0283788Z GITHUB_WORKFLOW_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T17:23:34.0284154Z GITHUB_REF_NAME=main
2025-11-03T17:23:34.0284515Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-11-03T17:23:34.0284928Z GITHUB_JOB=test
2025-11-03T17:23:34.0285135Z NO_TEST_TIMEOUT=False
2025-11-03T17:23:34.0285372Z TD_DISTRIBUTED=False
2025-11-03T17:23:34.0285626Z GITHUB_REPOSITORY=pytorch/pytorch
2025-11-03T17:23:34.0285911Z GITHUB_RETENTION_DAYS=90
2025-11-03T17:23:34.0286151Z OPENSSL_DIR=/opt/openssl
2025-11-03T17:23:34.0286402Z GITHUB_ACTION_REPOSITORY=
2025-11-03T17:23:34.0287154Z 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
2025-11-03T17:23:34.0287916Z GITHUB_BASE_REF=
2025-11-03T17:23:34.0288125Z INSTALLED_ACL=
2025-11-03T17:23:34.0288566Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_54383846930
2025-11-03T17:23:34.0289066Z CI=true
2025-11-03T17:23:34.0289279Z GITHUB_REPOSITORY_OWNER=pytorch
2025-11-03T17:23:34.0289575Z RUST_LOG=sccache::server=error
2025-11-03T17:23:34.0289831Z JOB_ID=54383846930
2025-11-03T17:23:34.0290044Z GITHUB_HEAD_REF=
2025-11-03T17:23:34.0290255Z GITHUB_ACTION_REF=
2025-11-03T17:23:34.0290521Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-11-03T17:23:34.0290864Z TEST_SHOWLOCALS=False
2025-11-03T17:23:34.0291099Z GITHUB_WORKFLOW=inductor
2025-11-03T17:23:34.0291349Z DEBIAN_FRONTEND=noninteractive
2025-11-03T17:23:34.0291936Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_94276c60-dddb-4dd8-b98f-3c431d20ec74
2025-11-03T17:23:34.0292661Z NO_TD=False
2025-11-03T17:23:34.0292881Z SKIP_SCCACHE_INITIALIZATION=1
2025-11-03T17:23:34.0293170Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-11-03T17:23:34.0293587Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-11-03T17:23:34.0294089Z _=/usr/bin/env
2025-11-03T17:23:34.0294298Z + echo 'Testing pytorch'
2025-11-03T17:23:34.0294540Z Testing pytorch
2025-11-03T17:23:34.0294754Z + export LANG=C.UTF-8
2025-11-03T17:23:34.0294976Z + LANG=C.UTF-8
2025-11-03T17:23:34.0306226Z + PR_NUMBER=
2025-11-03T17:23:34.0306566Z + [[ inductor_torchbench == \d\e\f\a\u\l\t ]]
2025-11-03T17:23:34.0307032Z + [[ inductor_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-11-03T17:23:34.0307393Z + [[ inductor_torchbench == \s\l\o\w ]]
2025-11-03T17:23:34.0307944Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *slow-gradcheck* ]]
2025-11-03T17:23:34.0308436Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *cuda* ]]
2025-11-03T17:23:34.0308805Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-11-03T17:23:34.0309137Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-11-03T17:23:34.0309440Z + [[ inductor_torchbench == *crossref* ]]
2025-11-03T17:23:34.0309799Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]]
2025-11-03T17:23:34.0310191Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *xpu* ]]
2025-11-03T17:23:34.0310591Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *-bazel-* ]]
2025-11-03T17:23:34.0310942Z + pip_install ninja==1.10.2
2025-11-03T17:23:34.0311278Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-11-03T17:23:34.0311716Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-11-03T17:23:34.4817270Z Collecting ninja==1.10.2
2025-11-03T17:23:34.4990982Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-11-03T17:23:34.5099577Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-11-03T17:23:35.4348351Z Installing collected packages: ninja
2025-11-03T17:23:35.4348717Z   Attempting uninstall: ninja
2025-11-03T17:23:35.4360822Z     Found existing installation: ninja 1.11.1.4
2025-11-03T17:23:35.4389498Z     Uninstalling ninja-1.11.1.4:
2025-11-03T17:23:35.4484172Z       Successfully uninstalled ninja-1.11.1.4
2025-11-03T17:23:35.5217854Z Successfully installed ninja-1.10.2
2025-11-03T17:23:35.6206795Z + 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
2025-11-03T17:23:35.6208326Z + 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
2025-11-03T17:23:35.6209295Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *aarch64* ]]
2025-11-03T17:23:35.6209779Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *asan* ]]
2025-11-03T17:23:35.6210383Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *-debug* ]]
2025-11-03T17:23:35.6210803Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *-bazel-* ]]
2025-11-03T17:23:35.6211362Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm86. Expect the assertion to pass'
2025-11-03T17:23:35.6212071Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm86. Expect the assertion to pass
2025-11-03T17:23:35.6212621Z + cd test
2025-11-03T17:23:35.6212947Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-11-03T17:23:36.8115375Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:23:36.8117378Z   import pynvml  # type: ignore[import]
2025-11-03T17:23:39.1281159Z + [[ inductor_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-11-03T17:23:39.1281623Z + [[ inductor_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-11-03T17:23:39.1282137Z + [[ inductor_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-11-03T17:23:39.1285857Z + DYNAMO_BENCHMARK_FLAGS=()
2025-11-03T17:23:39.1286568Z + [[ inductor_torchbench == *pr_time_benchmarks* ]]
2025-11-03T17:23:39.1287401Z + [[ inductor_torchbench == *dynamo_eager* ]]
2025-11-03T17:23:39.1287746Z + [[ inductor_torchbench == *aot_eager* ]]
2025-11-03T17:23:39.1288097Z + [[ inductor_torchbench == *aot_inductor* ]]
2025-11-03T17:23:39.1288462Z + [[ inductor_torchbench == *max_autotune_inductor* ]]
2025-11-03T17:23:39.1288833Z + [[ inductor_torchbench == *inductor* ]]
2025-11-03T17:23:39.1289150Z + [[ inductor_torchbench != *perf* ]]
2025-11-03T17:23:39.1289486Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor)
2025-11-03T17:23:39.1289814Z + [[ inductor_torchbench == *dynamic* ]]
2025-11-03T17:23:39.1290132Z + [[ inductor_torchbench == *cpu* ]]
2025-11-03T17:23:39.1290440Z + [[ inductor_torchbench == *xpu* ]]
2025-11-03T17:23:39.1290762Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
2025-11-03T17:23:39.1318439Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *libtorch* ]]
2025-11-03T17:23:39.1318887Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *-bazel-* ]]
2025-11-03T17:23:39.1323256Z + cd test
2025-11-03T17:23:39.1323945Z + python -c 'import torch; print(torch.__config__.show())'
2025-11-03T17:23:39.7028205Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:23:39.7029510Z   import pynvml  # type: ignore[import]
2025-11-03T17:23:40.8386051Z PyTorch built with:
2025-11-03T17:23:40.8386311Z   - GCC 9.5
2025-11-03T17:23:40.8386519Z   - C++ Version: 201703
2025-11-03T17:23:40.8387083Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-11-03T17:23:40.8388039Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-11-03T17:23:40.8388459Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-11-03T17:23:40.8388777Z   - LAPACK is enabled (usually provided by MKL)
2025-11-03T17:23:40.8389081Z   - NNPACK is enabled
2025-11-03T17:23:40.8389343Z   - CPU capability usage: AVX2
2025-11-03T17:23:40.8389600Z   - CUDA Runtime 12.8
2025-11-03T17:23:40.8389926Z   - NVCC architecture flags: -gencode;arch=compute_86,code=sm_86
2025-11-03T17:23:40.8390286Z   - CuDNN 90.8
2025-11-03T17:23:40.8394767Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=3f6538febd727b782e6e13cfd026a309fb14351d, CUDA_VERSION=12.8, CUDNN_VERSION=9.8.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 
2025-11-03T17:23:40.8399398Z 
2025-11-03T17:23:41.2246557Z + cd test
2025-11-03T17:23:41.2246934Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-11-03T17:23:41.7924624Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:23:41.7925901Z   import pynvml  # type: ignore[import]
2025-11-03T17:23:42.6011114Z ATen/Parallel:
2025-11-03T17:23:42.6011614Z 	at::get_num_threads() : 8
2025-11-03T17:23:42.6011920Z 	at::get_num_interop_threads() : 16
2025-11-03T17:23:42.6012287Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-11-03T17:23:42.6012563Z 	omp_get_max_threads() : 8
2025-11-03T17:23:42.6013085Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-11-03T17:23:42.6013652Z 	mkl_get_max_threads() : 8
2025-11-03T17:23:42.6014019Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-11-03T17:23:42.6014447Z std::thread::hardware_concurrency() : 16
2025-11-03T17:23:42.6014744Z Environment variables:
2025-11-03T17:23:42.6014996Z 	OMP_NUM_THREADS : [not set]
2025-11-03T17:23:42.6015258Z 	MKL_NUM_THREADS : [not set]
2025-11-03T17:23:42.6015517Z ATen parallel backend: OpenMP
2025-11-03T17:23:42.6015690Z 
2025-11-03T17:23:42.9436163Z + [[ inductor_torchbench == *numpy_2* ]]
2025-11-03T17:23:42.9436581Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *aarch64* ]]
2025-11-03T17:23:42.9436953Z + [[ inductor_torchbench == *backward* ]]
2025-11-03T17:23:42.9437280Z + [[ inductor_torchbench == *xla* ]]
2025-11-03T17:23:42.9437569Z + [[ inductor_torchbench == *vllm* ]]
2025-11-03T17:23:42.9437869Z + [[ inductor_torchbench == *executorch* ]]
2025-11-03T17:23:42.9438202Z + [[ inductor_torchbench == \j\i\t\_\l\e\g\a\c\y ]]
2025-11-03T17:23:42.9438554Z + [[ inductor_torchbench == \q\u\a\n\t\i\z\a\t\i\o\n ]]
2025-11-03T17:23:42.9438957Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *libtorch* ]]
2025-11-03T17:23:42.9439326Z + [[ inductor_torchbench == distributed ]]
2025-11-03T17:23:42.9439660Z + [[ inductor_torchbench == *operator_benchmark* ]]
2025-11-03T17:23:42.9440244Z + [[ inductor_torchbench == *operator_microbenchmark* ]]
2025-11-03T17:23:42.9440629Z + [[ inductor_torchbench == *inductor_distributed* ]]
2025-11-03T17:23:42.9440993Z + [[ inductor_torchbench == *inductor-halide* ]]
2025-11-03T17:23:42.9441355Z + [[ inductor_torchbench == *inductor-triton-cpu* ]]
2025-11-03T17:23:42.9441746Z + [[ inductor_torchbench == *inductor-micro-benchmark* ]]
2025-11-03T17:23:42.9442176Z + [[ inductor_torchbench == *aoti_cross_compile_for_windows* ]]
2025-11-03T17:23:42.9442563Z + [[ inductor_torchbench == *huggingface* ]]
2025-11-03T17:23:42.9442870Z + [[ inductor_torchbench == *timm* ]]
2025-11-03T17:23:42.9443161Z + [[ inductor_torchbench == cachebench ]]
2025-11-03T17:23:42.9443483Z + [[ inductor_torchbench == verify_cachebench ]]
2025-11-03T17:23:42.9443828Z + [[ inductor_torchbench == *torchbench* ]]
2025-11-03T17:23:42.9444122Z + install_torchaudio
2025-11-03T17:23:42.9444335Z + local commit
2025-11-03T17:23:42.9444560Z ++ get_pinned_commit audio
2025-11-03T17:23:42.9444832Z ++ cat .github/ci_commit_pins/audio.txt
2025-11-03T17:23:42.9482703Z + commit=3b0e7a6f192ca2715e7e6cbe5db007aea7165fe2
2025-11-03T17:23:42.9483363Z + pip_build_and_install git+https://github.com/pytorch/audio.git@3b0e7a6f192ca2715e7e6cbe5db007aea7165fe2 dist/audio
2025-11-03T17:23:42.9484346Z + local build_target=git+https://github.com/pytorch/audio.git@3b0e7a6f192ca2715e7e6cbe5db007aea7165fe2
2025-11-03T17:23:42.9485076Z + local wheel_dir=dist/audio
2025-11-03T17:23:42.9485329Z + local found_whl=0
2025-11-03T17:23:42.9486006Z + for file in "${wheel_dir}"/*.whl
2025-11-03T17:23:42.9486502Z + [[ -f dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl ]]
2025-11-03T17:23:42.9486946Z + found_whl=1
2025-11-03T17:23:42.9487139Z + break
2025-11-03T17:23:42.9496909Z + '[' 1 == 0 ']'
2025-11-03T17:23:42.9497178Z + for file in "${wheel_dir}"/*.whl
2025-11-03T17:23:42.9497651Z + pip_install_whl dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl
2025-11-03T17:23:42.9498298Z + args=('dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl')
2025-11-03T17:23:42.9498719Z + local args
2025-11-03T17:23:42.9499092Z + [[ dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-11-03T17:23:42.9499545Z + for path in "${args[@]}"
2025-11-03T17:23:42.9500162Z + echo 'Installing dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl'
2025-11-03T17:23:42.9500805Z Installing dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl
2025-11-03T17:23:42.9501539Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl
2025-11-03T17:23:43.3296616Z Processing ./dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl
2025-11-03T17:23:43.3363222Z Installing collected packages: torchaudio
2025-11-03T17:23:43.5433433Z Successfully installed torchaudio-2.10.0a0+3b0e7a6
2025-11-03T17:23:43.5816249Z + install_torchvision
2025-11-03T17:23:43.5816539Z + local orig_preload
2025-11-03T17:23:43.5816772Z + local commit
2025-11-03T17:23:43.5821734Z ++ get_pinned_commit vision
2025-11-03T17:23:43.5822082Z ++ cat .github/ci_commit_pins/vision.txt
2025-11-03T17:23:43.5860635Z + commit=cfbc5c2f1c798991715a6b06bb3ce46478c4487c
2025-11-03T17:23:43.5860982Z + orig_preload=
2025-11-03T17:23:43.5861265Z + '[' -n '' ']'
2025-11-03T17:23:43.5861615Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *cuda* ]]
2025-11-03T17:23:43.5862035Z + export FORCE_CUDA=1
2025-11-03T17:23:43.5862256Z + FORCE_CUDA=1
2025-11-03T17:23:43.5862467Z + export WITH_CUDA=1
2025-11-03T17:23:43.5862770Z + WITH_CUDA=1
2025-11-03T17:23:43.5863433Z + pip_build_and_install git+https://github.com/pytorch/vision.git@cfbc5c2f1c798991715a6b06bb3ce46478c4487c dist/vision
2025-11-03T17:23:43.5864381Z + local build_target=git+https://github.com/pytorch/vision.git@cfbc5c2f1c798991715a6b06bb3ce46478c4487c
2025-11-03T17:23:43.5864970Z + local wheel_dir=dist/vision
2025-11-03T17:23:43.5865301Z + local found_whl=0
2025-11-03T17:23:43.5865786Z + for file in "${wheel_dir}"/*.whl
2025-11-03T17:23:43.5866227Z + [[ -f dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl ]]
2025-11-03T17:23:43.5866663Z + found_whl=1
2025-11-03T17:23:43.5866860Z + break
2025-11-03T17:23:43.5867047Z + '[' 1 == 0 ']'
2025-11-03T17:23:43.5867277Z + for file in "${wheel_dir}"/*.whl
2025-11-03T17:23:43.5867738Z + pip_install_whl dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T17:23:43.5868383Z + args=('dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl')
2025-11-03T17:23:43.5868823Z + local args
2025-11-03T17:23:43.5869198Z + [[ dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-11-03T17:23:43.5869657Z + for path in "${args[@]}"
2025-11-03T17:23:43.5870104Z + echo 'Installing dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl'
2025-11-03T17:23:43.5870773Z Installing dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T17:23:43.5871544Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T17:23:43.9693966Z Processing ./dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T17:23:43.9787812Z Installing collected packages: torchvision
2025-11-03T17:23:44.4708744Z Successfully installed torchvision-0.25.0a0+cfbc5c2
2025-11-03T17:23:44.5124114Z + '[' -n '' ']'
2025-11-03T17:23:44.5125125Z + id=1
2025-11-03T17:23:44.5125433Z + pip_install opencv-python==4.8.0.74
2025-11-03T17:23:44.5125866Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-11-03T17:23:44.5126351Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74
2025-11-03T17:23:45.0063624Z Collecting opencv-python==4.8.0.74
2025-11-03T17:23:45.0263169Z   Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)
2025-11-03T17:23:45.0354275Z Requirement already satisfied: numpy>=1.21.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opencv-python==4.8.0.74) (1.22.4)
2025-11-03T17:23:45.0432726Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB)
2025-11-03T17:23:46.5157987Z Installing collected packages: opencv-python
2025-11-03T17:23:46.5159065Z   Attempting uninstall: opencv-python
2025-11-03T17:23:46.5172414Z     Found existing installation: opencv-python 4.11.0.86
2025-11-03T17:23:46.5283350Z     Uninstalling opencv-python-4.11.0.86:
2025-11-03T17:23:46.7010585Z       Successfully uninstalled opencv-python-4.11.0.86
2025-11-03T17:23:47.6837180Z Successfully installed opencv-python-4.8.0.74
2025-11-03T17:23:47.8134924Z + [[ inductor_torchbench == *inductor_torchbench_smoketest_perf* ]]
2025-11-03T17:23:47.8135622Z + [[ inductor_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]]
2025-11-03T17:23:47.8136088Z + [[ inductor_torchbench == *torchbench_gcp_smoketest* ]]
2025-11-03T17:23:47.8136444Z + [[ inductor_torchbench != *cpu* ]]
2025-11-03T17:23:47.8136761Z + [[ inductor_torchbench != *xpu* ]]
2025-11-03T17:23:47.8137133Z + install_torchrec_and_fbgemm
2025-11-03T17:23:47.8137494Z + local torchrec_commit
2025-11-03T17:23:47.8138239Z ++ get_pinned_commit torchrec
2025-11-03T17:23:47.8138605Z ++ cat .github/ci_commit_pins/torchrec.txt
2025-11-03T17:23:47.8162290Z + torchrec_commit=6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2
2025-11-03T17:23:47.8162714Z + local fbgemm_commit
2025-11-03T17:23:47.8166498Z ++ get_pinned_commit fbgemm
2025-11-03T17:23:47.8166810Z ++ cat .github/ci_commit_pins/fbgemm.txt
2025-11-03T17:23:47.8191072Z + fbgemm_commit=de731af65b4f04696e85c729e3282450b51b95fd
2025-11-03T17:23:47.8191492Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]]
2025-11-03T17:23:47.8191863Z + pip_uninstall torchrec-nightly
2025-11-03T17:23:47.8192167Z + pip3 uninstall -y torchrec-nightly
2025-11-03T17:23:48.2074895Z WARNING: Skipping torchrec-nightly as it is not installed.
2025-11-03T17:23:48.2416677Z + pip_uninstall fbgemm-gpu-nightly
2025-11-03T17:23:48.2417067Z + pip3 uninstall -y fbgemm-gpu-nightly
2025-11-03T17:23:48.6301688Z WARNING: Skipping fbgemm-gpu-nightly as it is not installed.
2025-11-03T17:23:48.6645227Z + pip_install setuptools-git-versioning scikit-build pyre-extensions
2025-11-03T17:23:48.6645814Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-11-03T17:23:48.6646422Z + python3 -m pip install --progress-bar off setuptools-git-versioning scikit-build pyre-extensions
2025-11-03T17:23:49.0420310Z Requirement already satisfied: setuptools-git-versioning in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.1.0)
2025-11-03T17:23:49.0421517Z Requirement already satisfied: scikit-build in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.18.1)
2025-11-03T17:23:49.0425635Z Requirement already satisfied: pyre-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.0.32)
2025-11-03T17:23:49.0437481Z Requirement already satisfied: packaging in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (23.1)
2025-11-03T17:23:49.0441687Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (78.1.1)
2025-11-03T17:23:49.0448805Z Requirement already satisfied: tomli>=2.0.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (2.3.0)
2025-11-03T17:23:49.0495468Z Requirement already satisfied: distro in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (1.9.0)
2025-11-03T17:23:49.0503155Z Requirement already satisfied: wheel>=0.32.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (0.45.1)
2025-11-03T17:23:49.0511347Z Requirement already satisfied: typing-inspect in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (0.9.0)
2025-11-03T17:23:49.0515127Z Requirement already satisfied: typing-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (4.15.0)
2025-11-03T17:23:49.0666275Z Requirement already satisfied: mypy-extensions>=0.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from typing-inspect->pyre-extensions) (1.1.0)
2025-11-03T17:23:50.1173059Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]]
2025-11-03T17:23:50.1174332Z + pip_build_and_install git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 dist/torchrec
2025-11-03T17:23:50.1175351Z + local build_target=git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2
2025-11-03T17:23:50.1175930Z + local wheel_dir=dist/torchrec
2025-11-03T17:23:50.1176249Z + local found_whl=0
2025-11-03T17:23:50.1176484Z + for file in "${wheel_dir}"/*.whl
2025-11-03T17:23:50.1176870Z + [[ -f dist/torchrec/torchrec-0.3.2-py3-none-any.whl ]]
2025-11-03T17:23:50.1177240Z + found_whl=1
2025-11-03T17:23:50.1177437Z + break
2025-11-03T17:23:50.1177627Z + '[' 1 == 0 ']'
2025-11-03T17:23:50.1177930Z + for file in "${wheel_dir}"/*.whl
2025-11-03T17:23:50.1178312Z + pip_install_whl dist/torchrec/torchrec-0.3.2-py3-none-any.whl
2025-11-03T17:23:50.1178840Z + args=('dist/torchrec/torchrec-0.3.2-py3-none-any.whl')
2025-11-03T17:23:50.1179185Z + local args
2025-11-03T17:23:50.1179553Z + [[ dist/torchrec/torchrec-0.3.2-py3-none-any.whl == *\ * ]]
2025-11-03T17:23:50.1179936Z + for path in "${args[@]}"
2025-11-03T17:23:50.1180349Z + echo 'Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl'
2025-11-03T17:23:50.1180842Z Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl
2025-11-03T17:23:50.1181467Z + python3 -mpip install --no-index --no-deps dist/torchrec/torchrec-0.3.2-py3-none-any.whl
2025-11-03T17:23:50.4981762Z Processing ./dist/torchrec/torchrec-0.3.2-py3-none-any.whl
2025-11-03T17:23:50.5049727Z Installing collected packages: torchrec
2025-11-03T17:23:50.8046182Z Successfully installed torchrec-0.3.2
2025-11-03T17:23:50.8434556Z + pip_build_and_install git+https://github.com/pytorch/FBGEMM.git@de731af65b4f04696e85c729e3282450b51b95fd#subdirectory=fbgemm_gpu dist/fbgemm_gpu
2025-11-03T17:23:50.8436208Z + local build_target=git+https://github.com/pytorch/FBGEMM.git@de731af65b4f04696e85c729e3282450b51b95fd#subdirectory=fbgemm_gpu
2025-11-03T17:23:50.8436938Z + local wheel_dir=dist/fbgemm_gpu
2025-11-03T17:23:50.8437232Z + local found_whl=0
2025-11-03T17:23:50.8437549Z + for file in "${wheel_dir}"/*.whl
2025-11-03T17:23:50.8437980Z + [[ -f dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl ]]
2025-11-03T17:23:50.8438474Z + found_whl=1
2025-11-03T17:23:50.8438674Z + break
2025-11-03T17:23:50.8438855Z + '[' 1 == 0 ']'
2025-11-03T17:23:50.8439104Z + for file in "${wheel_dir}"/*.whl
2025-11-03T17:23:50.8439610Z + pip_install_whl dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl
2025-11-03T17:23:50.8440319Z + args=('dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl')
2025-11-03T17:23:50.8440740Z + local args
2025-11-03T17:23:50.8441195Z + [[ dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-11-03T17:23:50.8441642Z + for path in "${args[@]}"
2025-11-03T17:23:50.8442175Z + echo 'Installing dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl'
2025-11-03T17:23:50.8442902Z Installing dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl
2025-11-03T17:23:50.8443707Z + python3 -mpip install --no-index --no-deps dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl
2025-11-03T17:23:51.2255065Z Processing ./dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl
2025-11-03T17:23:51.3180180Z Installing collected packages: fbgemm-gpu
2025-11-03T17:23:53.2016390Z Successfully installed fbgemm-gpu-0.4.1.post421
2025-11-03T17:23:53.2404698Z + PYTHONPATH=/torchbench
2025-11-03T17:23:53.2405246Z + test_dynamo_benchmark torchbench 1
2025-11-03T17:23:53.2411034Z ++ pwd
2025-11-03T17:23:53.2414569Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-11-03T17:23:53.2414986Z + local suite=torchbench
2025-11-03T17:23:53.2415227Z + shift
2025-11-03T17:23:53.2415424Z + local shard_id=1
2025-11-03T17:23:53.2415636Z + shift
2025-11-03T17:23:53.2415857Z + [[ inductor_torchbench == *perf_compare* ]]
2025-11-03T17:23:53.2416187Z + [[ inductor_torchbench == *perf* ]]
2025-11-03T17:23:53.2416765Z + [[ inductor_torchbench == *cpu* ]]
2025-11-03T17:23:53.2417092Z + [[ inductor_torchbench == *aot_inductor* ]]
2025-11-03T17:23:53.2417452Z + [[ inductor_torchbench == *max_autotune_inductor* ]]
2025-11-03T17:23:53.2417937Z + test_single_dynamo_benchmark inference torchbench 1 --inference --bfloat16
2025-11-03T17:23:53.2420414Z ++ pwd
2025-11-03T17:23:53.2423437Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-11-03T17:23:53.2423879Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-11-03T17:23:53.2466603Z + local name=inference
2025-11-03T17:23:53.2466856Z + shift
2025-11-03T17:23:53.2467058Z + local suite=torchbench
2025-11-03T17:23:53.2467299Z + shift
2025-11-03T17:23:53.2467560Z + local shard_id=1
2025-11-03T17:23:53.2467822Z + shift
2025-11-03T17:23:53.2468012Z + partition_flags=()
2025-11-03T17:23:53.2468238Z + local partition_flags
2025-11-03T17:23:53.2468469Z + [[ -n 2 ]]
2025-11-03T17:23:53.2468662Z + [[ -n 1 ]]
2025-11-03T17:23:53.2469046Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id")
2025-11-03T17:23:53.2469542Z + [[ inductor_torchbench == *perf_compare* ]]
2025-11-03T17:23:53.2469858Z + [[ inductor_torchbench == *perf* ]]
2025-11-03T17:23:53.2470150Z + [[ inductor_torchbench == *_avx2* ]]
2025-11-03T17:23:53.2470441Z + [[ inductor_torchbench == *_avx512* ]]
2025-11-03T17:23:53.2471640Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cuda --inference --bfloat16 --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv
2025-11-03T17:23:53.8375796Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:23:53.8377312Z   import pynvml  # type: ignore[import]
2025-11-03T17:23:57.1157694Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:23:57.1158996Z   import pynvml  # type: ignore[import]
2025-11-03T17:23:59.7634405Z 
2025-11-03T17:24:00.5844029Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:24:00.5844444Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:24:00.5844747Z cuda eval  llama_v2_7b_16h                    
2025-11-03T17:24:00.5850313Z Traceback (most recent call last):
2025-11-03T17:24:00.5851076Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4245, in run
2025-11-03T17:24:00.5851717Z     ) = runner.load_model(
2025-11-03T17:24:00.5852284Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 312, in load_model
2025-11-03T17:24:00.5852905Z     benchmark = benchmark_cls(
2025-11-03T17:24:00.5853324Z   File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__
2025-11-03T17:24:00.5853846Z     obj = type.__call__(cls, *args, **kwargs)
2025-11-03T17:24:00.5854412Z   File "/torchbench/torchbenchmark/models/llama_v2_7b_16h/__init__.py", line 16, in __init__
2025-11-03T17:24:00.5854941Z     super().__init__(
2025-11-03T17:24:00.5855533Z   File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__
2025-11-03T17:24:00.5856146Z     super().__init__(
2025-11-03T17:24:00.5856567Z   File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__
2025-11-03T17:24:00.5857034Z     self._skip_by_device_name()
2025-11-03T17:24:00.5857538Z   File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name
2025-11-03T17:24:00.5858118Z     raise NotImplementedError(
2025-11-03T17:24:00.5858670Z NotImplementedError: The current device NVIDIA A10G is skipped by its `llama_v2_7b_16h/metadata.yaml`.
2025-11-03T17:24:00.5859604Z 
2025-11-03T17:24:00.5859744Z model_fail_to_load
2025-11-03T17:24:02.1437016Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:24:02.1438433Z   import pynvml  # type: ignore[import]
2025-11-03T17:24:04.7550862Z 
2025-11-03T17:24:05.4423073Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:24:05.4423402Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:24:05.4423703Z cuda eval  llava                              
2025-11-03T17:24:05.4430665Z Traceback (most recent call last):
2025-11-03T17:24:05.4431420Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4245, in run
2025-11-03T17:24:05.4431902Z     ) = runner.load_model(
2025-11-03T17:24:05.4432411Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 312, in load_model
2025-11-03T17:24:05.4432954Z     benchmark = benchmark_cls(
2025-11-03T17:24:05.4433355Z   File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__
2025-11-03T17:24:05.4433789Z     obj = type.__call__(cls, *args, **kwargs)
2025-11-03T17:24:05.4434261Z   File "/torchbench/torchbenchmark/models/llava/__init__.py", line 12, in __init__
2025-11-03T17:24:05.4434722Z     super().__init__(
2025-11-03T17:24:05.4435222Z   File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__
2025-11-03T17:24:05.4435788Z     super().__init__(
2025-11-03T17:24:05.4436140Z   File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__
2025-11-03T17:24:05.4436854Z     self._skip_by_device_name()
2025-11-03T17:24:05.4437295Z   File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name
2025-11-03T17:24:05.4437785Z     raise NotImplementedError(
2025-11-03T17:24:05.4438267Z NotImplementedError: The current device NVIDIA A10G is skipped by its `llava/metadata.yaml`.
2025-11-03T17:24:05.4438690Z 
2025-11-03T17:24:05.4438776Z model_fail_to_load
2025-11-03T17:24:06.9693343Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:24:06.9694653Z   import pynvml  # type: ignore[import]
2025-11-03T17:24:09.5800254Z 
2025-11-03T17:24:11.0704511Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:24:11.0704853Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:24:11.0711372Z cuda eval  maml                               
2025-11-03T17:24:11.0954250Z Compilation time (from dynamo_timed): 0
2025-11-03T17:24:11.0954574Z pass_due_to_skip
2025-11-03T17:24:11.0962183Z TIMING: total_wall_time:0
2025-11-03T17:24:11.0962461Z STATS: call_* op count: 0
2025-11-03T17:24:11.0962841Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-11-03T17:24:12.8924264Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:24:12.8926601Z   import pynvml  # type: ignore[import]
2025-11-03T17:24:15.5042280Z 
2025-11-03T17:24:16.3127577Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:24:16.3128207Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:24:16.3134687Z cuda eval  maml_omniglot                      
2025-11-03T17:24:22.9965782Z Compilation time (from dynamo_timed): 5.775256583
2025-11-03T17:24:22.9966191Z pass
2025-11-03T17:24:22.9968249Z TIMING: _recursive_pre_grad_passes:0.00433 pad_mm_benchmark:0.00063 _recursive_joint_graph_passes:0.30469 _recursive_post_grad_passes:0.02543 async_compile.precompile:1.19429 async_compile.wait:0.40523 code_gen:2.46111 inductor_compile:2.71411 backend_compile:5.28246 gc:0.00093 entire_frame_compile:5.77526 cudagraphify.get_container:0.00263 CachingAutotuner.benchmark_all_configs:0.12413 CUDAGraphNode.record:0.00178 total_wall_time:5.77526
2025-11-03T17:24:22.9970459Z STATS: call_* op count: 14 | FakeTensorMode.__torch_dispatch__:1060 | FakeTensor.__torch_dispatch__:444 | ProxyTorchDispatchMode.__torch_dispatch__:179
2025-11-03T17:24:22.9971279Z Dynamo produced 1 graphs covering 14 ops with 0 graph breaks (0 unique)
2025-11-03T17:24:25.4868182Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:24:25.4869507Z   import pynvml  # type: ignore[import]
2025-11-03T17:24:28.1298731Z 
2025-11-03T17:24:28.5851220Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:24:28.5851829Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:24:28.5855349Z cuda eval  microbench_unbacked_tolist_sum     
2025-11-03T17:24:30.0587895Z W1103 17:24:30.057000 630 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0] Graph break from `Tensor.item()`, consider setting:
2025-11-03T17:24:30.0588923Z W1103 17:24:30.057000 630 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-11-03T17:24:30.0589723Z W1103 17:24:30.057000 630 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0] or:
2025-11-03T17:24:30.0590504Z W1103 17:24:30.057000 630 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-11-03T17:24:30.0591768Z W1103 17:24:30.057000 630 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0] to include these operations in the captured graph.
2025-11-03T17:24:30.0592537Z W1103 17:24:30.057000 630 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0] 
2025-11-03T17:24:30.0593265Z W1103 17:24:30.057000 630 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0] Graph break: from user code at:
2025-11-03T17:24:30.0594527Z W1103 17:24:30.057000 630 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0]   File "/torchbench/torchbenchmark/models/microbench_unbacked_tolist_sum/__init__.py", line 18, in torch_dynamo_resume_in_forward_at_13
2025-11-03T17:24:30.0595742Z W1103 17:24:30.057000 630 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0]     sum += tv[i].item()
2025-11-03T17:24:30.0596424Z W1103 17:24:30.057000 630 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0] 
2025-11-03T17:24:30.0597007Z W1103 17:24:30.057000 630 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0] 
2025-11-03T17:24:30.1551239Z Compilation time (from dynamo_timed): 0.826044666
2025-11-03T17:24:30.1552247Z pass
2025-11-03T17:24:30.1552659Z TIMING: gc:0.00244 entire_frame_compile:0.82604 total_wall_time:0.82604
2025-11-03T17:24:30.1553308Z STATS: call_* op count: 0 | FakeTensor.__torch_dispatch__:2005 | FakeTensorMode.__torch_dispatch__:17
2025-11-03T17:24:30.1553927Z Dynamo produced 0 graphs covering 0 ops with 2 graph breaks (1 unique)
2025-11-03T17:24:31.8088638Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:24:31.8089930Z   import pynvml  # type: ignore[import]
2025-11-03T17:24:34.4095395Z 
2025-11-03T17:24:34.8083390Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/mnasnet1.0_top1_73.512-f206786ef8.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/mnasnet1.0_top1_73.512-f206786ef8.pth
2025-11-03T17:24:34.8250267Z 
2025-11-03T17:24:34.8250459Z 
2025-11-03T17:24:34.8686516Z   0% 0.00/16.9M [00:00<?, ?B/s]
2025-11-03T17:24:34.8687239Z 100% 16.9M/16.9M [00:00<00:00, 410MB/s]
2025-11-03T17:24:35.6236477Z 
2025-11-03T17:24:35.6237029Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:24:35.6303585Z cuda eval  mnasnet1_0                         
2025-11-03T17:24:52.7601014Z Compilation time (from dynamo_timed): 12.441045569
2025-11-03T17:24:52.7601379Z pass
2025-11-03T17:24:52.7605618Z TIMING: _recursive_pre_grad_passes:0.00796 pad_mm_benchmark:0.00061 _recursive_joint_graph_passes:0.22642 _recursive_post_grad_passes:0.15724 async_compile.wait:0.03917 code_gen:1.80539 inductor_compile:4.28758 backend_compile:8.66306 gc:0.00041 entire_frame_compile:12.44105 cudagraphify.get_container:0.00212 CachingAutotuner.benchmark_all_configs:0.72393 CUDAGraphNode.record:0.00502 total_wall_time:12.44105
2025-11-03T17:24:52.7607973Z STATS: call_* op count: 152 | FakeTensorMode.__torch_dispatch__:7112 | ProxyTorchDispatchMode.__torch_dispatch__:2223 | FakeTensor.__torch_dispatch__:6491
2025-11-03T17:24:52.7608878Z Dynamo produced 1 graphs covering 152 ops with 0 graph breaks (0 unique)
2025-11-03T17:24:55.5919843Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:24:55.5922182Z   import pynvml  # type: ignore[import]
2025-11-03T17:24:58.2058681Z 
2025-11-03T17:24:59.2860884Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:24:59.2861231Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:24:59.2929146Z cuda eval  mobilenet_v2                       
2025-11-03T17:25:15.7646799Z Compilation time (from dynamo_timed): 13.146623987
2025-11-03T17:25:15.7647627Z pass
2025-11-03T17:25:15.7650917Z TIMING: _recursive_pre_grad_passes:0.00828 pad_mm_benchmark:0.00063 _recursive_joint_graph_passes:0.24833 _recursive_post_grad_passes:0.15858 async_compile.wait:0.05471 code_gen:1.81435 inductor_compile:4.3731 backend_compile:9.15751 gc:0.00012 entire_frame_compile:13.14662 cudagraphify.get_container:0.00221 CachingAutotuner.benchmark_all_configs:0.64459 CUDAGraphNode.record:0.00503 total_wall_time:13.14662
2025-11-03T17:25:15.7653149Z STATS: call_* op count: 153 | FakeTensorMode.__torch_dispatch__:7506 | FakeTensor.__torch_dispatch__:6625 | ProxyTorchDispatchMode.__torch_dispatch__:2681
2025-11-03T17:25:15.7653970Z Dynamo produced 1 graphs covering 153 ops with 0 graph breaks (0 unique)
2025-11-03T17:25:18.5832742Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:25:18.5834064Z   import pynvml  # type: ignore[import]
2025-11-03T17:25:21.2013298Z 
2025-11-03T17:25:21.3800560Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:25:21.3800906Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:25:21.3801216Z cuda eval  mobilenet_v2_quantized_qat         
2025-11-03T17:25:21.3807337Z Traceback (most recent call last):
2025-11-03T17:25:21.3807949Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4245, in run
2025-11-03T17:25:21.3808429Z     ) = runner.load_model(
2025-11-03T17:25:21.3808899Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 312, in load_model
2025-11-03T17:25:21.3809423Z     benchmark = benchmark_cls(
2025-11-03T17:25:21.3809818Z   File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__
2025-11-03T17:25:21.3810259Z     obj = type.__call__(cls, *args, **kwargs)
2025-11-03T17:25:21.3810816Z   File "/torchbench/torchbenchmark/models/mobilenet_v2_quantized_qat/__init__.py", line 23, in __init__
2025-11-03T17:25:21.3811488Z     raise NotImplementedError("The eval test only supports CPU.")
2025-11-03T17:25:21.3811942Z NotImplementedError: The eval test only supports CPU.
2025-11-03T17:25:21.3812203Z 
2025-11-03T17:25:21.3812383Z model_fail_to_load
2025-11-03T17:25:22.8522105Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:25:22.8523410Z   import pynvml  # type: ignore[import]
2025-11-03T17:25:25.4633731Z 
2025-11-03T17:25:26.6272485Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:25:26.6273287Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:25:26.6340908Z cuda eval  mobilenet_v3_large                 
2025-11-03T17:25:46.5437242Z Compilation time (from dynamo_timed): 15.6953248
2025-11-03T17:25:46.5437763Z pass
2025-11-03T17:25:46.5441586Z TIMING: _recursive_pre_grad_passes:0.00863 pad_mm_benchmark:0.00128 _recursive_joint_graph_passes:0.24478 _recursive_post_grad_passes:0.18349 async_compile.wait:0.22248 code_gen:3.15746 inductor_compile:6.2564 backend_compile:11.0978 gc:0.00041 entire_frame_compile:15.69532 cudagraphify.get_container:0.00213 CachingAutotuner.benchmark_all_configs:1.00215 CUDAGraphNode.record:0.00638 total_wall_time:15.69532
2025-11-03T17:25:46.5443670Z STATS: call_* op count: 187 | FakeTensorMode.__torch_dispatch__:7893 | FakeTensor.__torch_dispatch__:6970 | ProxyTorchDispatchMode.__torch_dispatch__:2718
2025-11-03T17:25:46.5444511Z Dynamo produced 1 graphs covering 187 ops with 0 graph breaks (0 unique)
2025-11-03T17:25:49.5176367Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:25:49.5178161Z   import pynvml  # type: ignore[import]
2025-11-03T17:25:52.1471122Z 
2025-11-03T17:25:54.1153357Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:25:54.1153722Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:25:54.1279426Z cuda eval  moco                               
2025-11-03T17:25:56.5616961Z [rank0]:W1103 17:25:56.560000 2795 site-packages/torch/_logging/_internal.py:1200] [0/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-11-03T17:26:08.8287933Z [rank0]:W1103 17:26:08.827000 2795 site-packages/torch/_dynamo/backends/distributed.py:110] [4/0_1] Some buckets were extended beyond their requested parameter capacities in order to ensure each subgraph has an output node, required for fx graph partitioning. This can be the case when a subgraph would have only contained nodes performing inplace mutation, and returning no logical outputs. This should not be a problem, unless it results in too few graph partitions for optimal DDP performance.
2025-11-03T17:26:08.8555051Z [rank0]:W1103 17:26:08.854000 2795 site-packages/torch/_dynamo/backends/distributed.py:127] [4/0_1] DDPOptimizer extended these buckets to ensure per-subgraph output nodes:
2025-11-03T17:26:08.8556929Z [rank0]:W1103 17:26:08.854000 2795 site-packages/torch/_dynamo/backends/distributed.py:127] [4/0_1] ┌─────────┬─────────────┬────────────────────────┐
2025-11-03T17:26:08.8558388Z [rank0]:W1103 17:26:08.854000 2795 site-packages/torch/_dynamo/backends/distributed.py:127] [4/0_1] │   Index │   Extra Ops │   Extra Param Size (b) │
2025-11-03T17:26:08.8559641Z [rank0]:W1103 17:26:08.854000 2795 site-packages/torch/_dynamo/backends/distributed.py:127] [4/0_1] ├─────────┼─────────────┼────────────────────────┤
2025-11-03T17:26:08.8560775Z [rank0]:W1103 17:26:08.854000 2795 site-packages/torch/_dynamo/backends/distributed.py:127] [4/0_1] │       0 │         470 │               44910720 │
2025-11-03T17:26:08.8561938Z [rank0]:W1103 17:26:08.854000 2795 site-packages/torch/_dynamo/backends/distributed.py:127] [4/0_1] └─────────┴─────────────┴────────────────────────┘
2025-11-03T17:26:34.3941669Z [rank0]:W1103 17:26:34.393000 2795 site-packages/torch/_dynamo/variables/tensor.py:1060] [7/0] Graph break from `Tensor.item()`, consider setting:
2025-11-03T17:26:34.3943376Z [rank0]:W1103 17:26:34.393000 2795 site-packages/torch/_dynamo/variables/tensor.py:1060] [7/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-11-03T17:26:34.3944242Z [rank0]:W1103 17:26:34.393000 2795 site-packages/torch/_dynamo/variables/tensor.py:1060] [7/0] or:
2025-11-03T17:26:34.3945054Z [rank0]:W1103 17:26:34.393000 2795 site-packages/torch/_dynamo/variables/tensor.py:1060] [7/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-11-03T17:26:34.3946047Z [rank0]:W1103 17:26:34.393000 2795 site-packages/torch/_dynamo/variables/tensor.py:1060] [7/0] to include these operations in the captured graph.
2025-11-03T17:26:34.3946872Z [rank0]:W1103 17:26:34.393000 2795 site-packages/torch/_dynamo/variables/tensor.py:1060] [7/0] 
2025-11-03T17:26:34.3947653Z [rank0]:W1103 17:26:34.393000 2795 site-packages/torch/_dynamo/variables/tensor.py:1060] [7/0] Graph break: from user code at:
2025-11-03T17:26:34.3948897Z [rank0]:W1103 17:26:34.393000 2795 site-packages/torch/_dynamo/variables/tensor.py:1060] [7/0]   File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 167, in torch_dynamo_resume_in_forward_at_142
2025-11-03T17:26:34.3950120Z [rank0]:W1103 17:26:34.393000 2795 site-packages/torch/_dynamo/variables/tensor.py:1060] [7/0]     self._dequeue_and_enqueue(k)
2025-11-03T17:26:34.3951332Z [rank0]:W1103 17:26:34.393000 2795 site-packages/torch/_dynamo/variables/tensor.py:1060] [7/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
2025-11-03T17:26:34.3952542Z [rank0]:W1103 17:26:34.393000 2795 site-packages/torch/_dynamo/variables/tensor.py:1060] [7/0]     return func(*args, **kwargs)
2025-11-03T17:26:34.3953697Z [rank0]:W1103 17:26:34.393000 2795 site-packages/torch/_dynamo/variables/tensor.py:1060] [7/0]   File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 68, in _dequeue_and_enqueue
2025-11-03T17:26:34.3955013Z [rank0]:W1103 17:26:34.393000 2795 site-packages/torch/_dynamo/variables/tensor.py:1060] [7/0]     ptr = int(self.queue_ptr)
2025-11-03T17:26:34.3955773Z [rank0]:W1103 17:26:34.393000 2795 site-packages/torch/_dynamo/variables/tensor.py:1060] [7/0] 
2025-11-03T17:26:34.3956406Z [rank0]:W1103 17:26:34.393000 2795 site-packages/torch/_dynamo/variables/tensor.py:1060] [7/0] 
2025-11-03T17:26:47.8620506Z Compilation time (from dynamo_timed): 49.340778898
2025-11-03T17:26:47.8620886Z pass
2025-11-03T17:26:47.8638840Z TIMING: gc:0.00745 entire_frame_compile:49.34078 _recursive_pre_grad_passes:0.10666 _recursive_joint_graph_passes:0.37709 _recursive_post_grad_passes:0.45537 async_compile.wait:2.63647 code_gen:9.59009 inductor_compile:17.64347 pad_mm_benchmark:0.00188 backend_compile:27.89366 cudagraphify.get_container:0.00167 CachingAutotuner.benchmark_all_configs:1.66256 CUDAGraphNode.record:0.019 total_wall_time:49.34078
2025-11-03T17:26:47.8641117Z STATS: call_* op count: 877 | FakeTensorMode.__torch_dispatch__:19720 | FakeTensor.__torch_dispatch__:19430 | ProxyTorchDispatchMode.__torch_dispatch__:6194
2025-11-03T17:26:47.8642059Z Dynamo produced 7 graphs covering 877 ops with 7 graph breaks (4 unique)
2025-11-03T17:26:49.5619021Z [rank0]:[W1103 17:26:49.488052447 ProcessGroupNCCL.cpp:1552] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
2025-11-03T17:26:52.3542378Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:26:52.3544643Z   import pynvml  # type: ignore[import]
2025-11-03T17:26:54.9641865Z 
2025-11-03T17:26:55.6497241Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:26:55.6497691Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:26:55.6498096Z cuda eval  moondream                          
2025-11-03T17:26:55.6506091Z Traceback (most recent call last):
2025-11-03T17:26:55.6506716Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4245, in run
2025-11-03T17:26:55.6507204Z     ) = runner.load_model(
2025-11-03T17:26:55.6507681Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 312, in load_model
2025-11-03T17:26:55.6508199Z     benchmark = benchmark_cls(
2025-11-03T17:26:55.6508596Z   File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__
2025-11-03T17:26:55.6509035Z     obj = type.__call__(cls, *args, **kwargs)
2025-11-03T17:26:55.6509524Z   File "/torchbench/torchbenchmark/models/moondream/__init__.py", line 12, in __init__
2025-11-03T17:26:55.6510015Z     super().__init__(
2025-11-03T17:26:55.6510517Z   File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__
2025-11-03T17:26:55.6511073Z     super().__init__(
2025-11-03T17:26:55.6511429Z   File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__
2025-11-03T17:26:55.6511857Z     self._skip_by_device_name()
2025-11-03T17:26:55.6512292Z   File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name
2025-11-03T17:26:55.6512778Z     raise NotImplementedError(
2025-11-03T17:26:55.6513280Z NotImplementedError: The current device NVIDIA A10G is skipped by its `moondream/metadata.yaml`.
2025-11-03T17:26:55.6513709Z 
2025-11-03T17:26:55.6513804Z model_fail_to_load
2025-11-03T17:26:57.1723863Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:26:57.1726859Z   import pynvml  # type: ignore[import]
2025-11-03T17:26:59.8030128Z 
2025-11-03T17:27:01.6167295Z loading model: 0it [00:00, ?it/s]number of parameters: 123.69M
2025-11-03T17:27:01.8635555Z num decayed parameter tensors: 50, with 124,354,560 parameters
2025-11-03T17:27:01.8636238Z num non-decayed parameter tensors: 98, with 121,344 parameters
2025-11-03T17:27:01.8638548Z using fused AdamW: True
2025-11-03T17:27:02.2169723Z 
2025-11-03T17:27:02.2174299Z loading model: 0it [00:02, ?it/s]
2025-11-03T17:27:02.2211418Z cuda eval  nanogpt                            
2025-11-03T17:27:13.3833083Z Compilation time (from dynamo_timed): 10.032149198
2025-11-03T17:27:13.3833478Z pass
2025-11-03T17:27:13.3843557Z TIMING: _recursive_pre_grad_passes:0.00885 pad_mm_benchmark:0.0252 _recursive_joint_graph_passes:0.6221 _recursive_post_grad_passes:0.6026 async_compile.wait:0.21371 code_gen:1.90974 inductor_compile:4.03406 backend_compile:7.78973 gc:0.00025 entire_frame_compile:10.03215 cudagraphify.get_container:0.00222 CachingAutotuner.benchmark_all_configs:0.04863 CUDAGraphNode.record:0.00891 total_wall_time:10.03215
2025-11-03T17:27:13.3845663Z STATS: call_* op count: 393 | FakeTensorMode.__torch_dispatch__:7929 | FakeTensor.__torch_dispatch__:4749 | ProxyTorchDispatchMode.__torch_dispatch__:2219
2025-11-03T17:27:13.3846613Z Dynamo produced 1 graphs covering 393 ops with 0 graph breaks (0 unique)
2025-11-03T17:27:16.1217201Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:27:16.1218507Z   import pynvml  # type: ignore[import]
2025-11-03T17:27:18.7479668Z 
2025-11-03T17:27:21.1071709Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:27:21.1072120Z loading model: 0it [00:02, ?it/s]
2025-11-03T17:27:21.1076010Z cuda eval  nvidia_deeprecommender             
2025-11-03T17:27:25.3235994Z Compilation time (from dynamo_timed): 3.315036594
2025-11-03T17:27:25.3236479Z pass
2025-11-03T17:27:25.3252616Z TIMING: _recursive_pre_grad_passes:0.00405 pad_mm_benchmark:0.00342 _recursive_joint_graph_passes:0.317 _recursive_post_grad_passes:0.08606 async_compile.precompile:0.61174 async_compile.wait:0.00017 code_gen:0.77859 inductor_compile:1.04188 backend_compile:2.93754 gc:0.00185 entire_frame_compile:3.31504 cudagraphify.get_container:0.00253 CachingAutotuner.benchmark_all_configs:0.07548 CUDAGraphNode.record:0.00172 total_wall_time:3.31504
2025-11-03T17:27:25.3254813Z STATS: call_* op count: 13 | FakeTensorMode.__torch_dispatch__:1004 | ProxyTorchDispatchMode.__torch_dispatch__:248 | FakeTensor.__torch_dispatch__:411
2025-11-03T17:27:25.3255636Z Dynamo produced 1 graphs covering 13 ops with 0 graph breaks (0 unique)
2025-11-03T17:27:28.4147828Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:27:28.4149135Z   import pynvml  # type: ignore[import]
2025-11-03T17:27:31.0408043Z 
2025-11-03T17:27:32.2401445Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:27:32.2402081Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:27:32.2419741Z cuda eval  opacus_cifar10                     
2025-11-03T17:27:42.2536147Z Compilation time (from dynamo_timed): 8.593653239
2025-11-03T17:27:42.2536510Z pass
2025-11-03T17:27:42.2538073Z TIMING: _recursive_pre_grad_passes:0.00514 pad_mm_benchmark:0.00063 _recursive_joint_graph_passes:0.23808 _recursive_post_grad_passes:0.06185 async_compile.wait:0.62885 code_gen:2.72275 inductor_compile:3.98202 backend_compile:6.47703 gc:0.00022 entire_frame_compile:8.59365 cudagraphify.get_container:0.00218 CachingAutotuner.benchmark_all_configs:0.53012 CUDAGraphNode.record:0.00348 total_wall_time:8.59365
2025-11-03T17:27:42.2540614Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:2669 | FakeTensor.__torch_dispatch__:2299 | ProxyTorchDispatchMode.__torch_dispatch__:867
2025-11-03T17:27:42.2541428Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique)
2025-11-03T17:27:44.9597465Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:27:44.9600041Z   import pynvml  # type: ignore[import]
2025-11-03T17:27:47.5997259Z 
2025-11-03T17:27:48.4438411Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:27:48.4438761Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:27:48.4505986Z cuda eval  phlippe_densenet                   
2025-11-03T17:28:08.2986996Z Compilation time (from dynamo_timed): 17.541771844
2025-11-03T17:28:08.2987418Z pass
2025-11-03T17:28:08.2989050Z TIMING: _recursive_pre_grad_passes:0.0089 pad_mm_benchmark:0.00063 _recursive_joint_graph_passes:0.23737 _recursive_post_grad_passes:0.16643 async_compile.wait:0.84524 code_gen:5.92876 inductor_compile:8.76082 backend_compile:13.24008 gc:0.00091 entire_frame_compile:17.54177 cudagraphify.get_container:0.00219 CachingAutotuner.benchmark_all_configs:1.32925 CUDAGraphNode.record:0.00679 total_wall_time:17.54177
2025-11-03T17:28:08.2991118Z STATS: call_* op count: 186 | FakeTensorMode.__torch_dispatch__:7602 | FakeTensor.__torch_dispatch__:6779 | ProxyTorchDispatchMode.__torch_dispatch__:2328
2025-11-03T17:28:08.2991933Z Dynamo produced 1 graphs covering 186 ops with 0 graph breaks (0 unique)
2025-11-03T17:28:11.2897372Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:28:11.2898687Z   import pynvml  # type: ignore[import]
2025-11-03T17:28:13.9316794Z 
2025-11-03T17:28:14.6254838Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:28:14.6255500Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:28:14.6282642Z cuda eval  phlippe_resnet                     
2025-11-03T17:28:22.4722363Z Compilation time (from dynamo_timed): 6.748617993
2025-11-03T17:28:22.4722743Z pass
2025-11-03T17:28:22.4724310Z TIMING: _recursive_pre_grad_passes:0.00594 pad_mm_benchmark:0.00061 _recursive_joint_graph_passes:0.1977 _recursive_post_grad_passes:0.07112 async_compile.wait:0.75377 code_gen:1.59224 inductor_compile:2.67406 backend_compile:5.10319 gc:0.00035 entire_frame_compile:6.74862 cudagraphify.get_container:0.00204 CachingAutotuner.benchmark_all_configs:0.29332 CUDAGraphNode.record:0.00354 total_wall_time:6.74862
2025-11-03T17:28:22.4726605Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:2818 | FakeTensor.__torch_dispatch__:2516 | ProxyTorchDispatchMode.__torch_dispatch__:880
2025-11-03T17:28:22.4727564Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique)
2025-11-03T17:28:25.0351606Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:28:25.0352903Z   import pynvml  # type: ignore[import]
2025-11-03T17:28:27.6477383Z 
2025-11-03T17:28:28.0915763Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:28:28.0916085Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:28:28.0916392Z cuda eval  pyhpc_equation_of_state            
2025-11-03T17:28:35.3369812Z Compilation time (from dynamo_timed): 6.610692335
2025-11-03T17:28:35.3370259Z pass
2025-11-03T17:28:35.3371592Z TIMING: _recursive_pre_grad_passes:0.00725 _recursive_joint_graph_passes:0.18078 _recursive_post_grad_passes:0.07443 async_compile.wait:0.29916 code_gen:2.98524 inductor_compile:3.78339 backend_compile:6.10017 gc:0.00071 entire_frame_compile:6.61069 cudagraphify.get_container:0.00254 CUDAGraphNode.record:0.00092 total_wall_time:6.61069
2025-11-03T17:28:35.3373782Z STATS: call_* op count: 366 | FakeTensorMode.__torch_dispatch__:2664 | ProxyTorchDispatchMode.__torch_dispatch__:764 | FakeTensor.__torch_dispatch__:3037
2025-11-03T17:28:35.3374632Z Dynamo produced 1 graphs covering 366 ops with 0 graph breaks (0 unique)
2025-11-03T17:28:37.8188926Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:28:37.8190225Z   import pynvml  # type: ignore[import]
2025-11-03T17:28:40.4499137Z 
2025-11-03T17:28:40.9191289Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:28:40.9191608Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:28:40.9195877Z cuda eval  pyhpc_isoneutral_mixing            
2025-11-03T17:28:53.2582587Z skipping cudagraphs due to mutated inputs (7 instances). Found from : 
2025-11-03T17:28:53.2583362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T17:28:53.2583955Z     return mod(*inputs)
2025-11-03T17:28:53.2584461Z   File "/torchbench/torchbenchmark/models/pyhpc_isoneutral_mixing/__init__.py", line 100, in forward
2025-11-03T17:28:53.2585067Z     return isoneutral_pytorch.isoneutral_diffusion_pre(
2025-11-03T17:28:53.2585787Z   File "/torchbench/torchbenchmark/models/pyhpc_isoneutral_mixing/isoneutral_pytorch.py", line 164, in isoneutral_diffusion_pre
2025-11-03T17:28:53.2586530Z     Ai_ez[1:-2, 2:-2, ki:, ip, kr] = taper * sxe * maskU[1:-2, 2:-2, ki:]
2025-11-03T17:28:53.2586803Z 
2025-11-03T17:28:53.2871567Z Compilation time (from dynamo_timed): 11.74069038
2025-11-03T17:28:53.2872064Z pass
2025-11-03T17:28:53.2873223Z TIMING: _recursive_pre_grad_passes:0.01158 _recursive_joint_graph_passes:0.43826 _recursive_post_grad_passes:1.33437 async_compile.wait:0.07416 code_gen:0.84324 inductor_compile:5.01471 backend_compile:10.19213 gc:0.00018 entire_frame_compile:11.74069 cudagraphify.get_container:0.00222 total_wall_time:11.74069
2025-11-03T17:28:53.2875118Z STATS: call_* op count: 744 | FakeTensorMode.__torch_dispatch__:14388 | FakeTensor.__torch_dispatch__:7478 | ProxyTorchDispatchMode.__torch_dispatch__:2898
2025-11-03T17:28:53.2875982Z Dynamo produced 1 graphs covering 744 ops with 0 graph breaks (0 unique)
2025-11-03T17:28:56.0765731Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:28:56.0767131Z   import pynvml  # type: ignore[import]
2025-11-03T17:28:58.7108728Z 
2025-11-03T17:28:59.6236538Z loading model: 0it [00:00, ?it/s]WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead
2025-11-03T17:28:59.7508273Z 
2025-11-03T17:28:59.7508721Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:28:59.7509288Z WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead
2025-11-03T17:28:59.7509865Z cuda eval  pyhpc_turbulent_kinetic_energy     
2025-11-03T17:28:59.7955800Z WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead
2025-11-03T17:29:24.4336795Z Compilation time (from dynamo_timed): 21.060135786
2025-11-03T17:29:24.4337314Z pass
2025-11-03T17:29:24.4399532Z TIMING: _recursive_pre_grad_passes:0.01427 _recursive_joint_graph_passes:0.25531 _recursive_post_grad_passes:1.30237 async_compile.wait:0.41753 code_gen:9.26229 inductor_compile:13.99938 backend_compile:19.31074 gc:0.00025 entire_frame_compile:21.06014 cudagraphify.get_container:0.0036 CachingAutotuner.benchmark_all_configs:2.87734 CUDAGraphNode.record:0.00261 total_wall_time:21.06014
2025-11-03T17:29:24.4401848Z STATS: call_* op count: 996 | FakeTensorMode.__torch_dispatch__:15173 | FakeTensor.__torch_dispatch__:7290 | ProxyTorchDispatchMode.__torch_dispatch__:2796
2025-11-03T17:29:24.4402797Z Dynamo produced 1 graphs covering 996 ops with 0 graph breaks (0 unique)
2025-11-03T17:29:27.5396031Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:29:30.1608250Z   import pynvml  # type: ignore[import]
2025-11-03T17:29:30.1608583Z 
2025-11-03T17:29:31.0996132Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:29:31.0996466Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:29:31.1010377Z cuda eval  pytorch_CycleGAN_and_pix2pix       
2025-11-03T17:29:42.8306443Z Compilation time (from dynamo_timed): 8.378536042
2025-11-03T17:29:42.8306803Z pass
2025-11-03T17:29:42.8315471Z TIMING: _recursive_pre_grad_passes:0.00532 _recursive_joint_graph_passes:0.21481 _recursive_post_grad_passes:0.08177 async_compile.wait:0.60952 code_gen:2.91317 inductor_compile:4.41531 backend_compile:6.92607 gc:0.00016 entire_frame_compile:8.37854 cudagraphify.get_container:0.00214 CachingAutotuner.benchmark_all_configs:0.47382 CUDAGraphNode.record:0.00319 total_wall_time:8.37854
2025-11-03T17:29:42.8317445Z STATS: call_* op count: 91 | FakeTensorMode.__torch_dispatch__:3314 | FakeTensor.__torch_dispatch__:2703 | ProxyTorchDispatchMode.__torch_dispatch__:1219
2025-11-03T17:29:42.8318259Z Dynamo produced 1 graphs covering 91 ops with 0 graph breaks (0 unique)
2025-11-03T17:29:45.5519967Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:29:45.5522336Z   import pynvml  # type: ignore[import]
2025-11-03T17:29:48.1915622Z 
2025-11-03T17:29:49.4119284Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:29:49.4119751Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:29:49.4141820Z cuda eval  pytorch_stargan                    
2025-11-03T17:30:06.2983277Z Compilation time (from dynamo_timed): 7.773501422
2025-11-03T17:30:06.2983648Z pass
2025-11-03T17:30:06.2999105Z TIMING: _recursive_pre_grad_passes:0.00539 _recursive_joint_graph_passes:0.27551 _recursive_post_grad_passes:0.07125 async_compile.wait:0.25899 code_gen:2.03735 inductor_compile:3.38899 backend_compile:6.26407 gc:0.00122 entire_frame_compile:7.7735 cudagraphify.get_container:0.00421 CachingAutotuner.benchmark_all_configs:0.19486 CUDAGraphNode.record:0.00295 total_wall_time:7.7735
2025-11-03T17:30:06.3001089Z STATS: call_* op count: 56 | FakeTensorMode.__torch_dispatch__:4266 | FakeTensor.__torch_dispatch__:2853 | ProxyTorchDispatchMode.__torch_dispatch__:1281
2025-11-03T17:30:06.3001934Z Dynamo produced 1 graphs covering 56 ops with 0 graph breaks (0 unique)
2025-11-03T17:30:08.9469002Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:30:08.9470294Z   import pynvml  # type: ignore[import]
2025-11-03T17:30:11.5881115Z 
2025-11-03T17:30:12.4666433Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:30:12.4666772Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:30:12.4689763Z cuda eval  pytorch_unet                       
2025-11-03T17:30:32.1152192Z Compilation time (from dynamo_timed): 9.272517988
2025-11-03T17:30:32.1152664Z pass
2025-11-03T17:30:32.1183170Z TIMING: _recursive_pre_grad_passes:0.00594 _recursive_joint_graph_passes:0.20232 _recursive_post_grad_passes:0.24672 async_compile.wait:0.18305 code_gen:3.03939 inductor_compile:4.51489 backend_compile:7.35606 gc:0.00021 entire_frame_compile:9.27252 cudagraphify.get_container:0.00236 CachingAutotuner.benchmark_all_configs:1.73229 CUDAGraphNode.record:0.00342 total_wall_time:9.27252
2025-11-03T17:30:32.1185696Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:4253 | FakeTensor.__torch_dispatch__:3346 | ProxyTorchDispatchMode.__torch_dispatch__:1272
2025-11-03T17:30:32.1186615Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique)
2025-11-03T17:30:34.8112837Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:30:34.8114127Z   import pynvml  # type: ignore[import]
2025-11-03T17:30:37.4303117Z 
2025-11-03T17:30:38.2624067Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/resnet152-394f9c45.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/resnet152-394f9c45.pth
2025-11-03T17:30:38.2798378Z 
2025-11-03T17:30:38.2798637Z 
2025-11-03T17:30:38.3801531Z   0% 0.00/230M [00:00<?, ?B/s]
2025-11-03T17:30:38.3801826Z 
2025-11-03T17:30:38.4810513Z  15% 35.5M/230M [00:00<00:00, 372MB/s]
2025-11-03T17:30:38.4810771Z 
2025-11-03T17:30:38.5811960Z  31% 71.0M/230M [00:00<00:00, 370MB/s]
2025-11-03T17:30:38.5812198Z 
2025-11-03T17:30:38.6810511Z  46% 107M/230M [00:00<00:00, 373MB/s] 
2025-11-03T17:30:38.6810747Z 
2025-11-03T17:30:38.7813507Z  62% 144M/230M [00:00<00:00, 378MB/s]
2025-11-03T17:30:38.7813758Z 
2025-11-03T17:30:38.8816884Z  80% 185M/230M [00:00<00:00, 398MB/s]
2025-11-03T17:30:38.8817128Z 
2025-11-03T17:30:38.8943528Z  98% 226M/230M [00:00<00:00, 407MB/s]
2025-11-03T17:30:38.8943851Z 100% 230M/230M [00:00<00:00, 393MB/s]
2025-11-03T17:30:39.9176676Z 
2025-11-03T17:30:39.9177034Z loading model: 0it [00:02, ?it/s]
2025-11-03T17:30:39.9388856Z cuda eval  resnet152                          
2025-11-03T17:31:13.3436514Z Compilation time (from dynamo_timed): 30.676443926
2025-11-03T17:31:13.3438461Z pass
2025-11-03T17:31:13.3440352Z TIMING: _recursive_pre_grad_passes:0.01762 pad_mm_benchmark:0.00066 _recursive_joint_graph_passes:0.35627 _recursive_post_grad_passes:0.45046 async_compile.wait:0.02581 code_gen:4.13305 inductor_compile:10.8787 backend_compile:20.70889 gc:0.00085 entire_frame_compile:30.67644 cudagraphify.get_container:0.00214 CUDAGraphNode.record:0.01374 total_wall_time:30.67644
2025-11-03T17:31:13.3442264Z STATS: call_* op count: 515 | FakeTensorMode.__torch_dispatch__:18521 | FakeTensor.__torch_dispatch__:19837 | ProxyTorchDispatchMode.__torch_dispatch__:6598
2025-11-03T17:31:13.3443101Z Dynamo produced 1 graphs covering 515 ops with 0 graph breaks (0 unique)
2025-11-03T17:31:16.5044144Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:31:16.5045455Z   import pynvml  # type: ignore[import]
2025-11-03T17:31:19.1253195Z 
2025-11-03T17:31:19.5671961Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
2025-11-03T17:31:19.5845998Z 
2025-11-03T17:31:19.5846037Z 
2025-11-03T17:31:19.6849298Z   0% 0.00/44.7M [00:00<?, ?B/s]
2025-11-03T17:31:19.6849511Z 
2025-11-03T17:31:19.7008793Z  86% 38.2M/44.7M [00:00<00:00, 401MB/s]
2025-11-03T17:31:19.7009111Z 100% 44.7M/44.7M [00:00<00:00, 404MB/s]
2025-11-03T17:31:20.4158685Z 
2025-11-03T17:31:20.4159045Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:31:20.4190726Z cuda eval  resnet18                           
2025-11-03T17:31:29.4059906Z Compilation time (from dynamo_timed): 7.386032754
2025-11-03T17:31:29.4060421Z pass
2025-11-03T17:31:29.4073330Z TIMING: _recursive_pre_grad_passes:0.00594 pad_mm_benchmark:0.00067 _recursive_joint_graph_passes:0.20225 _recursive_post_grad_passes:0.07396 async_compile.wait:0.81558 code_gen:2.09193 inductor_compile:3.26863 backend_compile:5.77376 gc:0.00017 entire_frame_compile:7.38603 cudagraphify.get_container:0.00222 CachingAutotuner.benchmark_all_configs:0.36286 CUDAGraphNode.record:0.00313 total_wall_time:7.38603
2025-11-03T17:31:29.4075616Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:2961 | FakeTensor.__torch_dispatch__:2599 | ProxyTorchDispatchMode.__torch_dispatch__:887
2025-11-03T17:31:29.4076516Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique)
2025-11-03T17:31:32.0464955Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:31:32.0466282Z   import pynvml  # type: ignore[import]
2025-11-03T17:31:34.6794405Z 
2025-11-03T17:31:35.1836552Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/resnet50-0676ba61.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/resnet50-0676ba61.pth
2025-11-03T17:31:35.1995318Z 
2025-11-03T17:31:35.1995544Z 
2025-11-03T17:31:35.2999718Z   0% 0.00/97.8M [00:00<?, ?B/s]
2025-11-03T17:31:35.2999950Z 
2025-11-03T17:31:35.4375752Z  39% 38.5M/97.8M [00:00<00:00, 403MB/s]
2025-11-03T17:31:35.4376062Z 
2025-11-03T17:31:35.4970439Z  79% 77.0M/97.8M [00:00<00:00, 330MB/s]
2025-11-03T17:31:35.4970834Z 100% 97.8M/97.8M [00:00<00:00, 345MB/s]
2025-11-03T17:31:36.3547233Z 
2025-11-03T17:31:36.3547569Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:31:36.3613290Z cuda eval  resnet50                           
2025-11-03T17:31:51.1273910Z Compilation time (from dynamo_timed): 12.641405071
2025-11-03T17:31:51.1274282Z pass
2025-11-03T17:31:51.1292170Z TIMING: _recursive_pre_grad_passes:0.00859 pad_mm_benchmark:0.00063 _recursive_joint_graph_passes:0.23599 _recursive_post_grad_passes:0.16528 async_compile.wait:0.02587 code_gen:1.88462 inductor_compile:4.47311 backend_compile:9.03629 gc:0.00035 entire_frame_compile:12.64141 cudagraphify.get_container:0.0021 CUDAGraphNode.record:0.0054 total_wall_time:12.64141
2025-11-03T17:31:51.1294297Z STATS: call_* op count: 175 | FakeTensorMode.__torch_dispatch__:6961 | FakeTensor.__torch_dispatch__:6781 | ProxyTorchDispatchMode.__torch_dispatch__:2280
2025-11-03T17:31:51.1295222Z Dynamo produced 1 graphs covering 175 ops with 0 graph breaks (0 unique)
2025-11-03T17:31:53.8985900Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:31:53.8987301Z   import pynvml  # type: ignore[import]
2025-11-03T17:31:56.5223067Z 
2025-11-03T17:31:56.7027371Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:31:56.7027966Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:31:56.7028546Z cuda eval  resnet50_quantized_qat             
2025-11-03T17:31:56.7034046Z Traceback (most recent call last):
2025-11-03T17:31:56.7034636Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4245, in run
2025-11-03T17:31:56.7035129Z     ) = runner.load_model(
2025-11-03T17:31:56.7035701Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 312, in load_model
2025-11-03T17:31:56.7036305Z     benchmark = benchmark_cls(
2025-11-03T17:31:56.7036706Z   File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__
2025-11-03T17:31:56.7037226Z     obj = type.__call__(cls, *args, **kwargs)
2025-11-03T17:31:56.7037797Z   File "/torchbench/torchbenchmark/models/resnet50_quantized_qat/__init__.py", line 22, in __init__
2025-11-03T17:31:56.7038926Z     raise NotImplementedError("The eval test only supports CPU.")
2025-11-03T17:31:56.7039400Z NotImplementedError: The eval test only supports CPU.
2025-11-03T17:31:56.7039724Z 
2025-11-03T17:31:56.7039834Z model_fail_to_load
2025-11-03T17:31:58.1710891Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:31:58.1712194Z   import pynvml  # type: ignore[import]
2025-11-03T17:32:00.7987563Z 
2025-11-03T17:32:01.3573585Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/resnext50_32x4d-7cdf4587.pth
2025-11-03T17:32:01.3774603Z 
2025-11-03T17:32:01.3774609Z 
2025-11-03T17:32:01.4776607Z   0% 0.00/95.8M [00:00<?, ?B/s]
2025-11-03T17:32:01.4776860Z 
2025-11-03T17:32:01.5792483Z  31% 29.6M/95.8M [00:00<00:00, 310MB/s]
2025-11-03T17:32:01.5792715Z 
2025-11-03T17:32:01.6793454Z  62% 59.2M/95.8M [00:00<00:00, 308MB/s]
2025-11-03T17:32:01.6793686Z 
2025-11-03T17:32:01.6934416Z  95% 91.1M/95.8M [00:00<00:00, 320MB/s]
2025-11-03T17:32:01.6934719Z 100% 95.8M/95.8M [00:00<00:00, 318MB/s]
2025-11-03T17:32:02.6179922Z 
2025-11-03T17:32:02.6180406Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:32:02.6247261Z cuda eval  resnext50_32x4d                    
2025-11-03T17:32:17.9228918Z Compilation time (from dynamo_timed): 12.591306186
2025-11-03T17:32:17.9229391Z pass
2025-11-03T17:32:17.9250293Z TIMING: _recursive_pre_grad_passes:0.00975 pad_mm_benchmark:0.00064 _recursive_joint_graph_passes:0.23498 _recursive_post_grad_passes:0.16706 async_compile.wait:0.02861 code_gen:1.92889 inductor_compile:4.4804 backend_compile:9.05694 gc:0.00184 entire_frame_compile:12.59131 cudagraphify.get_container:0.00212 CachingAutotuner.benchmark_all_configs:0.21427 CUDAGraphNode.record:0.00554 total_wall_time:12.59131
2025-11-03T17:32:17.9252741Z STATS: call_* op count: 175 | FakeTensorMode.__torch_dispatch__:6884 | FakeTensor.__torch_dispatch__:6781 | ProxyTorchDispatchMode.__torch_dispatch__:2280
2025-11-03T17:32:17.9253937Z Dynamo produced 1 graphs covering 175 ops with 0 graph breaks (0 unique)
2025-11-03T17:32:20.7301692Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:32:20.7302990Z   import pynvml  # type: ignore[import]
2025-11-03T17:32:23.3547841Z 
2025-11-03T17:32:30.5359881Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:32:30.5360519Z loading model: 0it [00:07, ?it/s]
2025-11-03T17:32:30.5487798Z cuda eval  sam                                
2025-11-03T17:33:58.2768586Z Compilation time (from dynamo_timed): 55.225780617
2025-11-03T17:33:58.2770967Z pass
2025-11-03T17:33:58.3139399Z TIMING: _recursive_pre_grad_passes:0.02971 pad_mm_benchmark:0.99672 _recursive_joint_graph_passes:3.02291 _recursive_post_grad_passes:4.04858 async_compile.wait:2.09907 code_gen:15.5634 inductor_compile:28.97572 backend_compile:45.44331 gc:0.00137 entire_frame_compile:55.22578 cudagraphify.get_container:0.00683 CachingAutotuner.benchmark_all_configs:2.26473 CUDAGraphNode.record:0.03952 total_wall_time:55.22578
2025-11-03T17:33:58.3141504Z STATS: call_* op count: 2285 | FakeTensorMode.__torch_dispatch__:52539 | FakeTensor.__torch_dispatch__:26028 | ProxyTorchDispatchMode.__torch_dispatch__:13097
2025-11-03T17:33:58.3142357Z Dynamo produced 1 graphs covering 2285 ops with 0 graph breaks (0 unique)
2025-11-03T17:34:03.0301837Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:34:03.0303714Z   import pynvml  # type: ignore[import]
2025-11-03T17:34:05.6561724Z 
2025-11-03T17:34:54.5364996Z loading model: 0it [00:00, ?it/s]Autotune Choices Stats:
2025-11-03T17:34:54.5368070Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.40243199467658997, "best_triton_pos": 1, "best_triton_time": 0.9328640103340149, "best_triton_kernel": "triton_convolution2d_3", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8"}
2025-11-03T17:34:54.5369795Z AUTOTUNE convolution(1x3x1024x1024, 1280x3x16x16)
2025-11-03T17:34:54.5370269Z strides: [3145728, 1048576, 1024, 1], [768, 256, 16, 1]
2025-11-03T17:34:54.5370619Z dtypes: torch.float16, torch.float16
2025-11-03T17:34:54.5370920Z   convolution 0.4024 ms 100.0% 
2025-11-03T17:34:54.5371833Z   triton_convolution2d_3 0.9329 ms 43.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8
2025-11-03T17:34:54.5373697Z   triton_convolution2d_5 1.1418 ms 35.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8
2025-11-03T17:34:54.5375364Z   triton_convolution2d_0 1.1735 ms 34.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=4
2025-11-03T17:34:54.5376763Z   triton_convolution2d_6 1.2790 ms 31.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8
2025-11-03T17:34:54.5378166Z   triton_convolution2d_1 1.3537 ms 29.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=4
2025-11-03T17:34:54.5379977Z   triton_convolution2d_4 1.5852 ms 25.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=4
2025-11-03T17:34:54.5381376Z   triton_convolution2d_2 3.5912 ms 11.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=1, num_warps=8
2025-11-03T17:34:54.5382480Z SingleProcess AUTOTUNE benchmarking takes 0.4431 seconds and 0.0004 seconds precompiling for 8 choices
2025-11-03T17:34:55.1073904Z Autotune Choices Stats:
2025-11-03T17:34:55.1076755Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_mm_16", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.7290880084037781, "best_triton_pos": 0}
2025-11-03T17:34:55.1079955Z AUTOTUNE mm(4900x1280, 1280x3840)
2025-11-03T17:34:55.1080374Z strides: [1280, 1], [1, 1280]
2025-11-03T17:34:55.1080752Z dtypes: torch.float16, torch.float16
2025-11-03T17:34:55.1081607Z   triton_mm_16 0.7291 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:55.1082704Z   triton_mm_15 0.7301 ms 99.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-11-03T17:34:55.1083790Z   triton_mm_14 0.7342 ms 99.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:55.1085101Z   triton_mm_18 0.7496 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-11-03T17:34:55.1086195Z   triton_mm_20 0.7496 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:55.1087290Z   triton_mm_13 0.7537 ms 96.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8
2025-11-03T17:34:55.1088365Z   triton_mm_17 0.7547 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:55.1089430Z   triton_mm_12 0.7649 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-11-03T17:34:55.1090503Z   triton_mm_11 0.7956 ms 91.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-11-03T17:34:55.1091581Z   triton_mm_21 0.7987 ms 91.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:55.1092616Z SingleProcess AUTOTUNE benchmarking takes 0.5695 seconds and 0.0002 seconds precompiling for 16 choices
2025-11-03T17:34:55.3172293Z Autotune Choices Stats:
2025-11-03T17:34:55.3173717Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_bmm_31", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.04710400104522705, "best_triton_pos": 0}
2025-11-03T17:34:55.3179943Z AUTOTUNE bmm(14x5600x80, 14x80x14)
2025-11-03T17:34:55.3180357Z strides: [448000, 80, 1], [1152, 1, 80]
2025-11-03T17:34:55.3180764Z dtypes: torch.float16, torch.float16
2025-11-03T17:34:55.3181810Z   triton_bmm_31 0.0471 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4
2025-11-03T17:34:55.3182929Z   triton_bmm_23 0.0481 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2
2025-11-03T17:34:55.3184014Z   triton_bmm_24 0.0481 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2
2025-11-03T17:34:55.3185094Z   triton_bmm_28 0.0481 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:55.3186184Z   triton_bmm_36 0.0481 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8
2025-11-03T17:34:55.3187281Z   triton_bmm_32 0.0492 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:55.3188381Z   triton_bmm_33 0.0492 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-11-03T17:34:55.3189471Z   triton_bmm_35 0.0492 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:55.3190557Z   triton_bmm_25 0.0502 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4
2025-11-03T17:34:55.3191758Z   triton_bmm_26 0.0502 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-11-03T17:34:55.3192699Z SingleProcess AUTOTUNE benchmarking takes 0.2094 seconds and 0.0002 seconds precompiling for 16 choices
2025-11-03T17:34:55.5302604Z Autotune Choices Stats:
2025-11-03T17:34:55.5303956Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_bmm_42", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.04915200173854828, "best_triton_pos": 0}
2025-11-03T17:34:55.5310232Z AUTOTUNE bmm(14x5600x80, 14x80x14)
2025-11-03T17:34:55.5310685Z strides: [80, 1120, 1], [1152, 1, 80]
2025-11-03T17:34:55.5311081Z dtypes: torch.float16, torch.float16
2025-11-03T17:34:55.5311908Z   triton_bmm_42 0.0492 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-11-03T17:34:55.5312999Z   triton_bmm_38 0.0502 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2
2025-11-03T17:34:55.5314075Z   triton_bmm_50 0.0502 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:55.5315144Z   triton_bmm_40 0.0512 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4
2025-11-03T17:34:55.5316210Z   triton_bmm_46 0.0512 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4
2025-11-03T17:34:55.5317290Z   triton_bmm_51 0.0512 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8
2025-11-03T17:34:55.5318594Z   triton_bmm_39 0.0522 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2
2025-11-03T17:34:55.5319657Z   triton_bmm_41 0.0522 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-11-03T17:34:55.5320719Z   triton_bmm_44 0.0522 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:55.5321780Z   triton_bmm_45 0.0522 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4
2025-11-03T17:34:55.5322721Z SingleProcess AUTOTUNE benchmarking takes 0.2124 seconds and 0.0002 seconds precompiling for 16 choices
2025-11-03T17:34:56.0658236Z Autotune Choices Stats:
2025-11-03T17:34:56.0659577Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_mm_61", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.2539519965648651, "best_triton_pos": 0}
2025-11-03T17:34:56.0665946Z AUTOTUNE mm(4900x1280, 1280x1280)
2025-11-03T17:34:56.0666392Z strides: [1280, 1], [1, 1280]
2025-11-03T17:34:56.0666754Z dtypes: torch.float16, torch.float16
2025-11-03T17:34:56.0667581Z   triton_mm_61 0.2540 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:56.0668867Z   triton_mm_60 0.2550 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-11-03T17:34:56.0669956Z   triton_mm_63 0.2550 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-11-03T17:34:56.0671033Z   triton_mm_57 0.2560 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-11-03T17:34:56.0672111Z   triton_mm_65 0.2560 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:56.0673189Z   triton_mm_59 0.2580 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:56.0674273Z   triton_mm_62 0.2580 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:56.0675351Z   triton_mm_58 0.2611 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8
2025-11-03T17:34:56.0676415Z   triton_mm_56 0.2652 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-11-03T17:34:56.0677491Z   triton_mm_66 0.2714 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:56.0678449Z SingleProcess AUTOTUNE benchmarking takes 0.5350 seconds and 0.0002 seconds precompiling for 16 choices
2025-11-03T17:34:56.6400091Z Autotune Choices Stats:
2025-11-03T17:34:56.6401181Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_mm_80", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.7997440099716187, "best_triton_pos": 0}
2025-11-03T17:34:56.6407512Z AUTOTUNE mm(4096x1280, 1280x5120)
2025-11-03T17:34:56.6407921Z strides: [1280, 1], [1, 1280]
2025-11-03T17:34:56.6408290Z dtypes: torch.float16, torch.float16
2025-11-03T17:34:56.6409039Z   triton_mm_80 0.7997 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:56.6410122Z   triton_mm_78 0.8008 ms 99.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-11-03T17:34:56.6411182Z   triton_mm_75 0.8038 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-11-03T17:34:56.6412250Z   triton_mm_76 0.8038 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:56.6413525Z   triton_mm_77 0.8049 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:56.6414750Z   triton_mm_74 0.8100 ms 98.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:56.6415968Z   triton_mm_72 0.8325 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-11-03T17:34:56.6416719Z   mm 0.8397 ms 95.2% 
2025-11-03T17:34:56.6417494Z   triton_mm_73 0.8417 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8
2025-11-03T17:34:56.6418555Z   triton_mm_81 0.8571 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:56.6419492Z SingleProcess AUTOTUNE benchmarking takes 0.5735 seconds and 0.0002 seconds precompiling for 16 choices
2025-11-03T17:34:57.2147226Z Autotune Choices Stats:
2025-11-03T17:34:57.2148833Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "mm", "best_time": 0.7946239709854126, "best_triton_pos": 1, "best_triton_time": 0.7987200021743774, "best_triton_kernel": "triton_mm_91", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"}
2025-11-03T17:34:57.2155443Z AUTOTUNE mm(4096x5120, 5120x1280)
2025-11-03T17:34:57.2155829Z strides: [5120, 1], [1, 5120]
2025-11-03T17:34:57.2156201Z dtypes: torch.float16, torch.float16
2025-11-03T17:34:57.2156597Z   mm 0.7946 ms 100.0% 
2025-11-03T17:34:57.2157323Z   triton_mm_91 0.7987 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:57.2158421Z   triton_mm_95 0.7987 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:57.2159554Z   triton_mm_92 0.8090 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:57.2160630Z   triton_mm_89 0.8141 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:57.2161708Z   triton_mm_93 0.8192 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-11-03T17:34:57.2162996Z   triton_mm_96 0.8202 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:57.2164083Z   triton_mm_90 0.8325 ms 95.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-11-03T17:34:57.2165149Z   triton_mm_88 0.8356 ms 95.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8
2025-11-03T17:34:57.2166223Z   triton_mm_94 0.8458 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8
2025-11-03T17:34:57.2167187Z SingleProcess AUTOTUNE benchmarking takes 0.5742 seconds and 0.0002 seconds precompiling for 16 choices
2025-11-03T17:34:57.8238432Z Autotune Choices Stats:
2025-11-03T17:34:57.8240105Z {"num_choices": 17, "num_triton_choices": 15, "best_kernel": "triton_mm_650", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.605184018611908, "best_triton_pos": 0}
2025-11-03T17:34:57.8245357Z AUTOTUNE addmm(4096x3840, 4096x1280, 1280x3840)
2025-11-03T17:34:57.8245692Z strides: [0, 1], [1280, 1], [1, 1280]
2025-11-03T17:34:57.8246020Z dtypes: torch.float16, torch.float16, torch.float16
2025-11-03T17:34:57.8246767Z   triton_mm_650 0.6052 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:57.8248057Z   triton_mm_648 0.6083 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-11-03T17:34:57.8249134Z   triton_mm_647 0.6093 ms 99.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:57.8250203Z   triton_mm_646 0.6113 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:57.8251260Z   triton_mm_645 0.6144 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-11-03T17:34:57.8252320Z   triton_mm_644 0.6165 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:57.8253439Z   triton_mm_642 0.6298 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-11-03T17:34:57.8254112Z   bias_addmm 0.6451 ms 93.8% 
2025-11-03T17:34:57.8254759Z   triton_mm_643 0.6451 ms 93.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8
2025-11-03T17:34:57.8255823Z   triton_mm_651 0.6595 ms 91.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:57.8256751Z SingleProcess AUTOTUNE benchmarking takes 0.5906 seconds and 0.0003 seconds precompiling for 17 choices
2025-11-03T17:34:58.0211399Z Autotune Choices Stats:
2025-11-03T17:34:58.0212506Z {"num_choices": 15, "num_triton_choices": 14, "best_kernel": "triton_bmm_659", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.04608000069856644, "best_triton_pos": 0}
2025-11-03T17:34:58.0220522Z AUTOTUNE bmm(64x1024x80, 64x80x64)
2025-11-03T17:34:58.0220819Z strides: [81920, 80, 1], [5120, 1, 80]
2025-11-03T17:34:58.0221288Z dtypes: torch.float16, torch.float16
2025-11-03T17:34:58.0221988Z   triton_bmm_659 0.0461 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:58.0223075Z   triton_bmm_655 0.0471 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8
2025-11-03T17:34:58.0224164Z   triton_bmm_657 0.0471 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-11-03T17:34:58.0225244Z   triton_bmm_660 0.0471 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-11-03T17:34:58.0226332Z   triton_bmm_658 0.0481 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8
2025-11-03T17:34:58.0227416Z   triton_bmm_662 0.0481 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:58.0228510Z   triton_bmm_663 0.0481 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-11-03T17:34:58.0229595Z   triton_bmm_664 0.0481 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8
2025-11-03T17:34:58.0230806Z   triton_bmm_665 0.0481 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:58.0232050Z   triton_bmm_652 0.0492 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2
2025-11-03T17:34:58.0232981Z SingleProcess AUTOTUNE benchmarking takes 0.1969 seconds and 0.0002 seconds precompiling for 15 choices
2025-11-03T17:34:58.5149147Z Autotune Choices Stats:
2025-11-03T17:34:58.5150441Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_mm_688", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8", "best_time": 0.20582400262355804, "best_triton_pos": 0}
2025-11-03T17:34:58.5158105Z AUTOTUNE mm(4096x1280, 1280x1280)
2025-11-03T17:34:58.5158403Z strides: [1280, 1], [1, 1280]
2025-11-03T17:34:58.5158673Z dtypes: torch.float16, torch.float16
2025-11-03T17:34:58.5159380Z   triton_mm_688 0.2058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-11-03T17:34:58.5160469Z   triton_mm_689 0.2058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:58.5161555Z   triton_mm_691 0.2058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-11-03T17:34:58.5162640Z   triton_mm_693 0.2068 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:58.5163719Z   triton_mm_685 0.2079 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-11-03T17:34:58.5164985Z   triton_mm_687 0.2089 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:58.5166066Z   triton_mm_690 0.2089 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-11-03T17:34:58.5166741Z   mm 0.2130 ms 96.6% 
2025-11-03T17:34:58.5167364Z   triton_mm_686 0.2150 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8
2025-11-03T17:34:58.5168421Z   triton_mm_684 0.2191 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-11-03T17:34:58.5169357Z SingleProcess AUTOTUNE benchmarking takes 0.4928 seconds and 0.0002 seconds precompiling for 16 choices
2025-11-03T17:34:58.7761417Z Autotune Choices Stats:
2025-11-03T17:34:58.7763970Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_2883", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.05939200147986412, "best_triton_pos": 0}
2025-11-03T17:34:58.7771038Z AUTOTUNE convolution(1x1280x64x64, 256x1280x1x1)
2025-11-03T17:34:58.7771434Z strides: [5242880, 4096, 64, 1], [1280, 1, 1, 1]
2025-11-03T17:34:58.7771788Z dtypes: torch.float16, torch.float16
2025-11-03T17:34:58.7772789Z   triton_convolution2d_2883 0.0594 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4
2025-11-03T17:34:58.7774387Z   triton_convolution2d_2882 0.0676 ms 87.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8
2025-11-03T17:34:58.7775760Z   triton_convolution2d_2885 0.0727 ms 81.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8
2025-11-03T17:34:58.7777115Z   triton_convolution2d_2884 0.0870 ms 68.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8
2025-11-03T17:34:58.7778468Z   triton_convolution2d_2879 0.0881 ms 67.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4
2025-11-03T17:34:58.7779299Z   convolution 0.0952 ms 62.4% 
2025-11-03T17:34:58.7780100Z   triton_convolution2d_2880 0.0973 ms 61.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4
2025-11-03T17:34:58.7781465Z   triton_convolution2d_2881 0.1444 ms 41.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8
2025-11-03T17:34:58.7782292Z   conv1x1_via_mm 0.3902 ms 15.2% 
2025-11-03T17:34:58.7782802Z SingleProcess AUTOTUNE benchmarking takes 0.1804 seconds and 0.0002 seconds precompiling for 9 choices
2025-11-03T17:34:59.0368468Z Autotune Choices Stats:
2025-11-03T17:34:59.0369957Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.11878400295972824, "best_triton_pos": 1, "best_triton_time": 0.2088319957256317, "best_triton_kernel": "triton_convolution2d_2892", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"}
2025-11-03T17:34:59.0378939Z AUTOTUNE convolution(1x256x64x64, 256x256x3x3)
2025-11-03T17:34:59.0379310Z strides: [1048576, 4096, 64, 1], [2304, 9, 3, 1]
2025-11-03T17:34:59.0379635Z dtypes: torch.float16, torch.float16
2025-11-03T17:34:59.0379932Z   convolution 0.1188 ms 100.0% 
2025-11-03T17:34:59.0380741Z   triton_convolution2d_2892 0.2088 ms 56.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8
2025-11-03T17:34:59.0382107Z   triton_convolution2d_2887 0.2386 ms 49.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4
2025-11-03T17:34:59.0383486Z   triton_convolution2d_2889 0.2632 ms 45.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8
2025-11-03T17:34:59.0384856Z   triton_convolution2d_2890 0.3154 ms 37.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4
2025-11-03T17:34:59.0386216Z   triton_convolution2d_2888 0.3256 ms 36.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8
2025-11-03T17:34:59.0387584Z   triton_convolution2d_2891 0.4291 ms 27.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8
2025-11-03T17:34:59.0389412Z   triton_convolution2d_2886 0.5222 ms 22.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4
2025-11-03T17:34:59.0390496Z SingleProcess AUTOTUNE benchmarking takes 0.2602 seconds and 0.0002 seconds precompiling for 8 choices
2025-11-03T17:35:42.3158985Z Warning: Custom flash attention kernels were written specifically for A100.
2025-11-03T17:35:42.3161598Z We will try to read previously created kernel configurations from /var/lib/jenkins/workspace/flash_4_configs.p.
2025-11-03T17:35:42.3162635Z You can disable this kernel by setting SEGMENT_ANYTHING_FAST_USE_FLASH_4=0
2025-11-03T17:35:42.3164332Z key  (torch.Size([1, 16, 4096, 128]), torch.Size([1, 16, 4096, 128]), torch.Size([1, 16, 4096, 128]), torch.Size([1, 16, 4096, 128]), torch.Size([1, 16, 4096, 128]), (8388608, 524288, 128, 1), (8388608, 524288, 128, 1), (8388608, 524288, 128, 1), (8388608, 524288, 128, 1), (8388608, 524288, 128, 1))  not found. Running autotune. This might take a while.
2025-11-03T17:35:42.3165991Z all configs len:  60
2025-11-03T17:35:45.5391088Z (64, 64, 1, 1)  : 28463.773700013917
2025-11-03T17:35:46.9224875Z (64, 64, 2, 1)  : 6307.165924988567
2025-11-03T17:35:48.3575935Z (64, 64, 2, 2)  : 6553.405750014463
2025-11-03T17:35:49.5412532Z (64, 64, 4, 1)  : 2715.98995000204
2025-11-03T17:35:50.8373234Z (64, 64, 4, 2)  : 3166.1730299992996
2025-11-03T17:35:52.0596706Z (64, 64, 4, 3)  : 2706.7626899997776
2025-11-03T17:35:52.7391795Z (64, 64, 4, 4)  : None
2025-11-03T17:35:53.7959375Z (64, 64, 8, 1)  : 2864.261899999292
2025-11-03T17:35:55.0333571Z (64, 64, 8, 2)  : 3717.4771999980294
2025-11-03T17:35:56.1741618Z (64, 64, 8, 3)  : 3171.6048299995236
2025-11-03T17:35:56.6627683Z (64, 64, 8, 4)  : None
2025-11-03T17:35:57.1572001Z (64, 64, 8, 5)  : None
2025-11-03T17:35:57.6710555Z (64, 64, 8, 6)  : None
2025-11-03T17:35:58.1958235Z (64, 64, 8, 7)  : None
2025-11-03T17:35:58.7466875Z (64, 64, 8, 8)  : None
2025-11-03T17:36:03.4973083Z (64, 128, 1, 1)  : 63269.85375005734
2025-11-03T17:36:05.4631849Z (64, 128, 2, 1)  : 7851.945966664669
2025-11-03T17:36:07.5443455Z (64, 128, 2, 2)  : 8436.326600015793
2025-11-03T17:36:09.1689250Z (64, 128, 4, 1)  : 3454.508189997796
2025-11-03T17:36:10.7564066Z (64, 128, 4, 2)  : 3239.9698299968804
2025-11-03T17:36:11.7596864Z (64, 128, 4, 3)  : None
2025-11-03T17:36:12.7997301Z (64, 128, 4, 4)  : None
2025-11-03T17:36:14.0443213Z (64, 128, 8, 1)  : 3303.710069999397
2025-11-03T17:36:15.2762964Z (64, 128, 8, 2)  : 3205.9141000036107
2025-11-03T17:36:15.8730817Z (64, 128, 8, 3)  : None
2025-11-03T17:36:16.4963152Z (64, 128, 8, 4)  : None
2025-11-03T17:36:17.1415511Z (64, 128, 8, 5)  : None
2025-11-03T17:36:17.8056046Z (64, 128, 8, 6)  : None
2025-11-03T17:36:18.5312773Z (64, 128, 8, 7)  : None
2025-11-03T17:36:19.2674025Z (64, 128, 8, 8)  : None
2025-11-03T17:36:26.5258189Z (128, 64, 1, 1)  : 79444.28633330365
2025-11-03T17:36:29.3176645Z (128, 64, 2, 1)  : 26761.288199986666
2025-11-03T17:36:31.9922288Z (128, 64, 2, 2)  : 44754.62239997796
2025-11-03T17:36:33.6871005Z (128, 64, 4, 1)  : 3250.5876999994143
2025-11-03T17:36:35.2628982Z (128, 64, 4, 2)  : 16619.802549985256
2025-11-03T17:36:36.9563880Z (128, 64, 4, 3)  : 19780.712650003807
2025-11-03T17:36:38.0383667Z (128, 64, 4, 4)  : None
2025-11-03T17:36:39.1995666Z (128, 64, 8, 1)  : 2749.841620002371
2025-11-03T17:36:40.4767001Z (128, 64, 8, 2)  : 3276.7046900016794
2025-11-03T17:36:41.8064592Z (128, 64, 8, 3)  : 3444.6697299972584
2025-11-03T17:36:42.4210085Z (128, 64, 8, 4)  : None
2025-11-03T17:36:43.0492093Z (128, 64, 8, 5)  : None
2025-11-03T17:36:43.6965766Z (128, 64, 8, 6)  : None
2025-11-03T17:36:44.3517472Z (128, 64, 8, 7)  : None
2025-11-03T17:36:45.0419608Z (128, 64, 8, 8)  : None
2025-11-03T17:36:57.7739368Z (128, 128, 1, 1)  : 84822.56200007517
2025-11-03T17:37:02.4971685Z (128, 128, 2, 1)  : 100591.0850001328
2025-11-03T17:37:07.3455729Z (128, 128, 2, 2)  : 100493.94499992559
2025-11-03T17:37:09.2238223Z (128, 128, 4, 1)  : 7740.25509999774
2025-11-03T17:37:11.4934798Z (128, 128, 4, 2)  : 19417.056050019713
2025-11-03T17:37:13.2386023Z (128, 128, 4, 3)  : None
2025-11-03T17:37:15.0489116Z (128, 128, 4, 4)  : None
2025-11-03T17:37:16.4797887Z (128, 128, 8, 1)  : 2767.0636799985004
2025-11-03T17:37:17.8294074Z (128, 128, 8, 2)  : 14675.519299998996
2025-11-03T17:37:18.7289792Z (128, 128, 8, 3)  : None
2025-11-03T17:37:19.6672758Z (128, 128, 8, 4)  : None
2025-11-03T17:37:20.6313809Z (128, 128, 8, 5)  : None
2025-11-03T17:37:21.6160200Z (128, 128, 8, 6)  : None
2025-11-03T17:37:22.6524254Z (128, 128, 8, 7)  : None
2025-11-03T17:37:23.7062395Z (128, 128, 8, 8)  : None
2025-11-03T17:37:23.7065927Z Found best_config  (64, 64, 4, 3)  with time  2706.7626899997776  for key  (torch.Size([1, 16, 4096, 128]), torch.Size([1, 16, 4096, 128]), torch.Size([1, 16, 4096, 128]), torch.Size([1, 16, 4096, 128]), torch.Size([1, 16, 4096, 128]), (8388608, 524288, 128, 1), (8388608, 524288, 128, 1), (8388608, 524288, 128, 1), (8388608, 524288, 128, 1), (8388608, 524288, 128, 1))
2025-11-03T17:37:23.7067303Z Warning: Custom flash attention kernels were written specifically for A100.
2025-11-03T17:37:23.7068109Z Storing configs for NVIDIA A10G locally under /var/lib/jenkins/workspace/flash_4_configs.p
2025-11-03T17:37:23.7068955Z Saving best configs to file /var/lib/jenkins/workspace/flash_4_configs.p
2025-11-03T17:37:33.1972494Z 
2025-11-03T17:37:33.1972863Z loading model: 0it [03:27, ?it/s]
2025-11-03T17:37:33.2021500Z cuda eval  sam_fast                           
2025-11-03T17:38:09.1409754Z Autotune Choices Stats:
2025-11-03T17:38:09.1410263Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 85.92793273925781}
2025-11-03T17:38:09.1421900Z AUTOTUNE addmm(4096x3840, 4096x1280, 1280x3840)
2025-11-03T17:38:09.1422253Z strides: [0, 1], [1280, 1], [1, 1280]
2025-11-03T17:38:09.1422585Z dtypes: torch.float64, torch.float64, torch.float64
2025-11-03T17:38:09.1422958Z   bias_addmm 85.9279 ms 100.0% 
2025-11-03T17:38:09.1423222Z   addmm 86.2761 ms 99.6% 
2025-11-03T17:38:09.1423728Z SingleProcess AUTOTUNE benchmarking takes 1.2328 seconds and 0.0003 seconds precompiling for 2 choices
2025-11-03T17:41:23.3713171Z Compilation time (from dynamo_timed): 57.718751183
2025-11-03T17:41:23.3715602Z pass
2025-11-03T17:41:23.3717194Z TIMING: _recursive_pre_grad_passes:0.0264 pad_mm_benchmark:0.65296 _recursive_joint_graph_passes:2.65175 _recursive_post_grad_passes:3.2536 async_compile.wait:2.41813 code_gen:18.29023 inductor_compile:31.57719 backend_compile:46.76614 gc:0.00089 entire_frame_compile:57.71875 cudagraphify.get_container:0.14 CachingAutotuner.benchmark_all_configs:2.10433 CUDAGraphNode.record:0.0404 total_wall_time:57.71875
2025-11-03T17:41:23.3719256Z STATS: call_* op count: 6495 | FakeTensorMode.__torch_dispatch__:149583 | FakeTensor.__torch_dispatch__:75355 | ProxyTorchDispatchMode.__torch_dispatch__:34617
2025-11-03T17:41:23.3720111Z Dynamo produced 0 graphs covering 257 ops with 0 graph breaks (0 unique)
2025-11-03T17:41:31.7254440Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:41:31.7257354Z   import pynvml  # type: ignore[import]
2025-11-03T17:41:34.3431661Z 
2025-11-03T17:41:34.7008535Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/shufflenetv2_x1-5666bf0f80.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/shufflenetv2_x1-5666bf0f80.pth
2025-11-03T17:41:34.7257583Z 
2025-11-03T17:41:34.7257698Z 
2025-11-03T17:41:34.7494483Z   0% 0.00/8.79M [00:00<?, ?B/s]
2025-11-03T17:41:34.7494792Z 100% 8.79M/8.79M [00:00<00:00, 393MB/s]
2025-11-03T17:41:35.4784464Z 
2025-11-03T17:41:35.4784877Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:41:35.4858143Z cuda eval  shufflenet_v2_x1_0                 
2025-11-03T17:41:53.7938780Z Compilation time (from dynamo_timed): 15.962961976
2025-11-03T17:41:53.7939156Z pass
2025-11-03T17:41:53.7942375Z TIMING: _recursive_pre_grad_passes:0.00953 pad_mm_benchmark:0.00063 _recursive_joint_graph_passes:0.27936 _recursive_post_grad_passes:0.17408 async_compile.wait:1.09377 code_gen:4.16778 inductor_compile:7.16234 backend_compile:12.06204 gc:0.00013 entire_frame_compile:15.96296 cudagraphify.get_container:0.00211 CachingAutotuner.benchmark_all_configs:0.93137 CUDAGraphNode.record:0.00617 total_wall_time:15.96296
2025-11-03T17:41:53.7944455Z STATS: call_* op count: 271 | FakeTensorMode.__torch_dispatch__:7861 | FakeTensor.__torch_dispatch__:7321 | ProxyTorchDispatchMode.__torch_dispatch__:2515
2025-11-03T17:41:53.7945281Z Dynamo produced 1 graphs covering 271 ops with 0 graph breaks (0 unique)
2025-11-03T17:41:56.8181125Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:41:56.8182582Z   import pynvml  # type: ignore[import]
2025-11-03T17:41:59.4365687Z 
2025-11-03T17:42:00.4847388Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:42:00.4847719Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:42:00.4850034Z cuda eval  soft_actor_critic                  
2025-11-03T17:42:03.8401914Z Compilation time (from dynamo_timed): 2.653240028
2025-11-03T17:42:03.8402279Z pass
2025-11-03T17:42:03.8406229Z TIMING: _recursive_pre_grad_passes:0.00395 pad_mm_benchmark:0.0017 _recursive_joint_graph_passes:0.31408 _recursive_post_grad_passes:0.03787 async_compile.precompile:0.30655 async_compile.wait:0.00017 code_gen:0.38488 inductor_compile:0.50502 backend_compile:2.31477 gc:0.00114 entire_frame_compile:2.65324 cudagraphify.get_container:0.00318 CachingAutotuner.benchmark_all_configs:0.04472 CUDAGraphNode.record:0.0019 total_wall_time:2.65324
2025-11-03T17:42:03.8408436Z STATS: call_* op count: 16 | FakeTensorMode.__torch_dispatch__:635 | ProxyTorchDispatchMode.__torch_dispatch__:97 | FakeTensor.__torch_dispatch__:116
2025-11-03T17:42:03.8409249Z Dynamo produced 1 graphs covering 16 ops with 0 graph breaks (0 unique)
2025-11-03T17:42:07.7052808Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:42:07.7054119Z   import pynvml  # type: ignore[import]
2025-11-03T17:42:10.3296035Z 
2025-11-03T17:42:11.8483817Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:42:11.8484184Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:42:11.8553279Z cuda eval  speech_transformer                 
2025-11-03T17:42:13.3751882Z W1103 17:42:13.374000 22132 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] Graph break from `Tensor.item()`, consider setting:
2025-11-03T17:42:13.3752925Z W1103 17:42:13.374000 22132 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-11-03T17:42:13.3753753Z W1103 17:42:13.374000 22132 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] or:
2025-11-03T17:42:13.3754548Z W1103 17:42:13.374000 22132 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-11-03T17:42:13.3755545Z W1103 17:42:13.374000 22132 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] to include these operations in the captured graph.
2025-11-03T17:42:13.3756329Z W1103 17:42:13.374000 22132 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] 
2025-11-03T17:42:13.3757051Z W1103 17:42:13.374000 22132 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] Graph break: from user code at:
2025-11-03T17:42:13.3758151Z W1103 17:42:13.374000 22132 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T17:42:13.3759542Z W1103 17:42:13.374000 22132 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]     return mod(*inputs)
2025-11-03T17:42:13.3760775Z W1103 17:42:13.374000 22132 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]   File "/torchbench/torchbenchmark/models/speech_transformer/speech_transformer/transformer/transformer.py", line 27, in forward
2025-11-03T17:42:13.3762172Z W1103 17:42:13.374000 22132 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]     encoder_padded_outputs, *_ = self.encoder(padded_input, input_lengths)
2025-11-03T17:42:13.3763542Z W1103 17:42:13.374000 22132 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]   File "/torchbench/torchbenchmark/models/speech_transformer/speech_transformer/transformer/encoder.py", line 61, in forward
2025-11-03T17:42:13.3764916Z W1103 17:42:13.374000 22132 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]     non_pad_mask = get_non_pad_mask(padded_input, input_lengths=input_lengths)
2025-11-03T17:42:13.3766289Z W1103 17:42:13.374000 22132 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]   File "/torchbench/torchbenchmark/models/speech_transformer/speech_transformer/utils/utils.py", line 108, in get_non_pad_mask
2025-11-03T17:42:13.3767560Z W1103 17:42:13.374000 22132 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0]     non_pad_mask[i, input_lengths[i] :] = 0
2025-11-03T17:42:13.3768314Z W1103 17:42:13.374000 22132 site-packages/torch/_dynamo/variables/tensor.py:1060] [0/0] 
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2025-11-03T17:42:21.3132879Z W1103 17:42:21.312000 22132 site-packages/torch/_inductor/utils.py:2437] [7/0_1] DeviceCopy in input program
2025-11-03T17:42:22.5273457Z cudagraph partition due to non gpu ops
2025-11-03T17:42:22.5274018Z cudagraph partition due to non gpu ops
2025-11-03T17:42:22.5274418Z cudagraph partition due to non gpu ops
2025-11-03T17:42:22.5274727Z cudagraph partition due to non gpu ops
2025-11-03T17:42:22.5275031Z cudagraph partition due to non gpu ops
2025-11-03T17:42:22.5275336Z cudagraph partition due to non gpu ops
2025-11-03T17:42:22.5276010Z cudagraph partition due to non gpu ops
2025-11-03T17:42:22.5276337Z cudagraph partition due to DeviceCopy ops
2025-11-03T17:42:22.6083811Z cudagraph partition into 2 partitions
2025-11-03T17:42:44.6046913Z W1103 17:42:44.603000 22132 site-packages/torch/_inductor/utils.py:2437] [13/0_1] DeviceCopy in input program
2025-11-03T17:42:46.2601986Z cudagraph partition due to non gpu ops
2025-11-03T17:42:46.2605451Z cudagraph partition due to non gpu ops
2025-11-03T17:42:46.2605950Z cudagraph partition due to non gpu ops
2025-11-03T17:42:46.2606265Z cudagraph partition due to non gpu ops
2025-11-03T17:42:46.2606572Z cudagraph partition due to non gpu ops
2025-11-03T17:42:46.2606890Z cudagraph partition due to non gpu ops
2025-11-03T17:42:46.2607204Z cudagraph partition due to non gpu ops
2025-11-03T17:42:46.2607506Z cudagraph partition due to non gpu ops
2025-11-03T17:42:46.2607807Z cudagraph partition due to non gpu ops
2025-11-03T17:42:46.2608100Z cudagraph partition due to non gpu ops
2025-11-03T17:42:46.2608417Z cudagraph partition due to non gpu ops
2025-11-03T17:42:46.2608718Z cudagraph partition due to non gpu ops
2025-11-03T17:42:46.2609023Z cudagraph partition due to non gpu ops
2025-11-03T17:42:46.2609329Z cudagraph partition due to DeviceCopy ops
2025-11-03T17:42:46.7245193Z cudagraph partition into 2 partitions
2025-11-03T17:42:49.8158041Z Compilation time (from dynamo_timed): 36.010111247
2025-11-03T17:42:49.8158408Z pass
2025-11-03T17:42:49.8182434Z TIMING: gc:0.01124 entire_frame_compile:36.01011 _recursive_pre_grad_passes:0.0221 _recursive_joint_graph_passes:0.87937 _recursive_post_grad_passes:1.78516 async_compile.precompile:0.10866 async_compile.wait:1.25511 code_gen:13.11365 inductor_compile:18.31639 backend_compile:28.08 cudagraphify.get_container:0.00257 CachingAutotuner.benchmark_all_configs:0.35564 pad_mm_benchmark:0.0705 CUDAGraphNode.record:0.02059 total_wall_time:36.01011
2025-11-03T17:42:49.8185198Z STATS: call_* op count: 1454 | FakeTensorMode.__torch_dispatch__:23935 | FakeTensor.__torch_dispatch__:9051 | ProxyTorchDispatchMode.__torch_dispatch__:8976
2025-11-03T17:42:49.8186054Z Dynamo produced 7 graphs covering 1454 ops with 10 graph breaks (2 unique)
2025-11-03T17:42:53.1109457Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:42:53.1110840Z   import pynvml  # type: ignore[import]
2025-11-03T17:42:55.7299949Z 
2025-11-03T17:42:56.0851101Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/squeezenet1_1-b8a52dc0.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/squeezenet1_1-b8a52dc0.pth
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2025-11-03T17:42:56.7968262Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:42:56.7984421Z cuda eval  squeezenet1_1                      
2025-11-03T17:43:04.7291103Z Compilation time (from dynamo_timed): 6.511226
2025-11-03T17:43:04.7291451Z pass
2025-11-03T17:43:04.7294307Z TIMING: _recursive_pre_grad_passes:0.00521 _recursive_joint_graph_passes:0.17465 _recursive_post_grad_passes:0.02489 async_compile.wait:1.17283 code_gen:2.77175 inductor_compile:3.28562 backend_compile:5.50063 gc:0.00033 entire_frame_compile:6.51123 cudagraphify.get_container:0.00212 CachingAutotuner.benchmark_all_configs:0.33323 CUDAGraphNode.record:0.00254 total_wall_time:6.51123
2025-11-03T17:43:04.7296300Z STATS: call_* op count: 66 | FakeTensorMode.__torch_dispatch__:1388 | FakeTensor.__torch_dispatch__:582 | ProxyTorchDispatchMode.__torch_dispatch__:184
2025-11-03T17:43:04.7297108Z Dynamo produced 1 graphs covering 66 ops with 0 graph breaks (0 unique)
2025-11-03T17:43:07.3556728Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:43:07.3558233Z   import pynvml  # type: ignore[import]
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2025-11-03T17:43:17.5588280Z Loading pipeline components...:   0% 0/6 [00:00<?, ?it/s]
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2025-11-03T17:43:19.4745252Z loading model: 0it [00:09, ?it/s]
2025-11-03T17:43:19.4851371Z cuda eval  stable_diffusion_text_encoder      
2025-11-03T17:43:19.5412997Z WARNING:common:fp64 golden ref were not generated for stable_diffusion_text_encoder. Setting accuracy check to cosine
2025-11-03T17:43:40.2857519Z Compilation time (from dynamo_timed): 19.647907528
2025-11-03T17:43:40.2859708Z pass
2025-11-03T17:43:40.2985562Z TIMING: _recursive_pre_grad_passes:0.01195 pad_mm_benchmark:0.07186 _recursive_joint_graph_passes:0.90537 _recursive_post_grad_passes:1.14778 async_compile.wait:0.18703 code_gen:2.95112 inductor_compile:7.43172 backend_compile:14.44697 gc:0.00036 entire_frame_compile:19.64791 cudagraphify.get_container:0.09864 CachingAutotuner.benchmark_all_configs:0.04592 CUDAGraphNode.record:0.02227 total_wall_time:19.64791
2025-11-03T17:43:40.2987745Z STATS: call_* op count: 548 | FakeTensorMode.__torch_dispatch__:16412 | FakeTensor.__torch_dispatch__:9900 | ProxyTorchDispatchMode.__torch_dispatch__:4938
2025-11-03T17:43:40.2988585Z Dynamo produced 1 graphs covering 548 ops with 0 graph breaks (0 unique)
2025-11-03T17:43:43.7005793Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:43:43.7008064Z   import pynvml  # type: ignore[import]
2025-11-03T17:43:46.3307851Z 
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2025-11-03T17:43:51.8360985Z loading model: 0it [00:05, ?it/s]
2025-11-03T17:43:51.8554288Z cuda eval  stable_diffusion_unet              
2025-11-03T17:43:51.8804491Z Compilation time (from dynamo_timed): 0
2025-11-03T17:43:51.8804945Z pass_due_to_skip
2025-11-03T17:43:52.0398064Z TIMING: total_wall_time:0
2025-11-03T17:43:52.0398357Z STATS: call_* op count: 0
2025-11-03T17:43:52.0398733Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-11-03T17:43:53.9854504Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:43:53.9855835Z   import pynvml  # type: ignore[import]
2025-11-03T17:43:56.6067959Z 
2025-11-03T17:43:56.9329225Z loading model: 0it [00:00, ?it/s]
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2025-11-03T17:43:58.5709145Z cuda eval  torch_multimodal_clip              
2025-11-03T17:44:21.9094068Z Compilation time (from dynamo_timed): 21.005682736
2025-11-03T17:44:21.9094494Z pass
2025-11-03T17:44:21.9125149Z TIMING: _recursive_pre_grad_passes:0.01047 pad_mm_benchmark:0.04946 _recursive_joint_graph_passes:1.0263 _recursive_post_grad_passes:1.19603 async_compile.wait:0.04379 code_gen:5.23375 inductor_compile:9.53769 backend_compile:16.41027 gc:0.00047 entire_frame_compile:21.00568 cudagraphify.get_container:0.00213 CachingAutotuner.benchmark_all_configs:0.17971 CUDAGraphNode.record:0.01585 total_wall_time:21.00568
2025-11-03T17:44:21.9127618Z STATS: call_* op count: 394 | FakeTensorMode.__torch_dispatch__:17248 | FakeTensor.__torch_dispatch__:9699 | ProxyTorchDispatchMode.__torch_dispatch__:4729
2025-11-03T17:44:21.9128483Z Dynamo produced 1 graphs covering 394 ops with 0 graph breaks (0 unique)
2025-11-03T17:44:25.2616541Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:44:25.2618639Z   import pynvml  # type: ignore[import]
2025-11-03T17:44:27.8948051Z 
2025-11-03T17:44:28.3825761Z loading model: 0it [00:00, ?it/s]WARNING:common:Model tts_angular does not support bfloat16, running with amp instead
2025-11-03T17:44:28.6330095Z 
2025-11-03T17:44:28.6330486Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:44:28.6331112Z WARNING:common:Model tts_angular does not support bfloat16, running with amp instead
2025-11-03T17:44:28.6331808Z cuda eval  tts_angular                        
2025-11-03T17:44:28.7023459Z WARNING:common:Model tts_angular does not support bfloat16, running with amp instead
2025-11-03T17:44:31.7201947Z Compilation time (from dynamo_timed): 2.367991842
2025-11-03T17:44:31.7202488Z pass
2025-11-03T17:44:31.7226109Z TIMING: _recursive_pre_grad_passes:0.00412 _recursive_joint_graph_passes:0.3009 inductor_compile:0.26192 backend_compile:2.03802 gc:0.00193 entire_frame_compile:2.36799 _recursive_post_grad_passes:0.01775 async_compile.precompile:0.14036 async_compile.wait:0.00017 code_gen:0.19951 total_wall_time:2.36799
2025-11-03T17:44:31.7229102Z STATS: call_* op count: 6 | FakeTensorMode.__torch_dispatch__:382 | ProxyTorchDispatchMode.__torch_dispatch__:33 | FakeTensor.__torch_dispatch__:34
2025-11-03T17:44:31.7230254Z Dynamo produced 3 graphs covering 6 ops with 2 graph breaks (1 unique)
2025-11-03T17:44:37.3457273Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:44:37.3458575Z   import pynvml  # type: ignore[import]
2025-11-03T17:44:39.9771539Z 
2025-11-03T17:44:41.0653846Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/vgg16-397923af.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/vgg16-397923af.pth
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2025-11-03T17:44:43.7818414Z loading model: 0it [00:03, ?it/s]
2025-11-03T17:44:43.7827246Z cuda eval  vgg16                              
2025-11-03T17:44:52.8829270Z Compilation time (from dynamo_timed): 5.124315356
2025-11-03T17:44:52.8829639Z pass
2025-11-03T17:44:52.8831644Z TIMING: _recursive_pre_grad_passes:0.00471 pad_mm_benchmark:0.23635 _recursive_joint_graph_passes:0.4174 _recursive_post_grad_passes:0.0416 async_compile.precompile:0.35993 async_compile.wait:0.36614 code_gen:1.62543 inductor_compile:1.99894 backend_compile:4.4367 gc:0.00104 entire_frame_compile:5.12432 cudagraphify.get_container:0.00329 CachingAutotuner.benchmark_all_configs:0.26651 CUDAGraphNode.record:0.00269 total_wall_time:5.12432
2025-11-03T17:44:52.8833973Z STATS: call_* op count: 40 | FakeTensorMode.__torch_dispatch__:1368 | FakeTensor.__torch_dispatch__:361 | ProxyTorchDispatchMode.__torch_dispatch__:181
2025-11-03T17:44:52.8834819Z Dynamo produced 1 graphs covering 40 ops with 0 graph breaks (0 unique)
2025-11-03T17:44:55.4982794Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:44:55.4984082Z   import pynvml  # type: ignore[import]
2025-11-03T17:44:58.1203202Z 
2025-11-03T17:44:58.7441703Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth
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2025-11-03T17:45:00.7818150Z WARNING:common:Model vision_maskrcnn does not support bfloat16, running with float16 instead
2025-11-03T17:45:09.7198506Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T17:45:09.7199765Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T17:45:09.7200597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T17:45:09.7201252Z     v4 = masked_index(y_high, x_high)
2025-11-03T17:45:09.7201838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T17:45:09.7202407Z     return input[
2025-11-03T17:45:09.7202550Z 
2025-11-03T17:45:09.7202554Z 
2025-11-03T17:45:16.2594881Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T17:45:16.2596087Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T17:45:16.2596956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T17:45:16.2597608Z     v4 = masked_index(y_high, x_high)
2025-11-03T17:45:16.2598571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T17:45:16.2599159Z     return input[
2025-11-03T17:45:16.2599292Z 
2025-11-03T17:45:16.2599296Z 
2025-11-03T17:45:22.4134300Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T17:45:22.4135653Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T17:45:22.4136561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T17:45:22.4137315Z     v4 = masked_index(y_high, x_high)
2025-11-03T17:45:22.4137983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T17:45:22.4138615Z     return input[
2025-11-03T17:45:22.4138787Z 
2025-11-03T17:45:22.4138791Z 
2025-11-03T17:45:28.2558598Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T17:45:28.2559854Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T17:45:28.2560693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T17:45:28.2561338Z     v4 = masked_index(y_high, x_high)
2025-11-03T17:45:28.2561934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T17:45:28.2562923Z     return input[
2025-11-03T17:45:28.2563059Z 
2025-11-03T17:45:28.2563064Z 
2025-11-03T17:45:36.9642067Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T17:45:36.9643296Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T17:45:36.9644176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T17:45:36.9644816Z     v4 = masked_index(y_high, x_high)
2025-11-03T17:45:36.9645406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T17:45:36.9645973Z     return input[
2025-11-03T17:45:36.9646111Z 
2025-11-03T17:45:36.9646116Z 
2025-11-03T17:45:45.8551274Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T17:45:45.8552821Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T17:45:45.8553901Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T17:45:45.8554548Z     v4 = masked_index(y_high, x_high)
2025-11-03T17:45:45.8555132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T17:45:45.8555708Z     return input[
2025-11-03T17:45:45.8555844Z 
2025-11-03T17:45:45.8555848Z 
2025-11-03T17:45:54.9593094Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T17:45:54.9594362Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T17:45:54.9595243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T17:45:54.9596227Z     v4 = masked_index(y_high, x_high)
2025-11-03T17:45:54.9596810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T17:45:54.9597385Z     return input[
2025-11-03T17:45:54.9597525Z 
2025-11-03T17:45:54.9597537Z 
2025-11-03T17:46:04.0665884Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T17:46:04.0667173Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T17:46:04.0668260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T17:46:04.0669109Z     v4 = masked_index(y_high, x_high)
2025-11-03T17:46:04.0669928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T17:46:04.0670556Z     return input[
2025-11-03T17:46:04.0670692Z 
2025-11-03T17:46:04.0670697Z 
2025-11-03T17:46:04.6813738Z 
2025-11-03T17:46:04.6814185Z loading model: 0it [01:06, ?it/s]
2025-11-03T17:46:04.6815278Z WARNING:common:Model vision_maskrcnn does not support bfloat16, running with float16 instead
2025-11-03T17:46:04.6882484Z cuda eval  vision_maskrcnn                    
2025-11-03T17:46:05.5895452Z W1103 17:46:05.588000 24827 site-packages/torch/_dynamo/convert_frame.py:1548] [0/8] torch._dynamo hit config.recompile_limit (8)
2025-11-03T17:46:05.5896624Z W1103 17:46:05.588000 24827 site-packages/torch/_dynamo/convert_frame.py:1548] [0/8]    function: '_roi_align' (/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py:114)
2025-11-03T17:46:05.5898131Z W1103 17:46:05.588000 24827 site-packages/torch/_dynamo/convert_frame.py:1548] [0/8]    last reason: 0/7: GLOBAL_STATE changed: grad_mode 
2025-11-03T17:46:05.5899104Z W1103 17:46:05.588000 24827 site-packages/torch/_dynamo/convert_frame.py:1548] [0/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
2025-11-03T17:46:05.5900347Z W1103 17:46:05.588000 24827 site-packages/torch/_dynamo/convert_frame.py:1548] [0/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/compile/programming_model.recompilation.html
2025-11-03T17:46:06.5038063Z WARNING:common:Model vision_maskrcnn does not support bfloat16, running with float16 instead
2025-11-03T17:46:29.4646851Z W1103 17:46:29.463000 24827 site-packages/torch/_inductor/utils.py:2437] [2/0_1] DeviceCopy in input program
2025-11-03T17:46:29.4807403Z W1103 17:46:29.480000 24827 site-packages/torch/_inductor/utils.py:2437] [2/0_1] DeviceCopy in input program
2025-11-03T17:46:29.4968172Z W1103 17:46:29.496000 24827 site-packages/torch/_inductor/utils.py:2437] [2/0_1] DeviceCopy in input program
2025-11-03T17:46:29.5124759Z W1103 17:46:29.511000 24827 site-packages/torch/_inductor/utils.py:2437] [2/0_1] DeviceCopy in input program
2025-11-03T17:46:29.5278126Z W1103 17:46:29.527000 24827 site-packages/torch/_inductor/utils.py:2437] [2/0_1] DeviceCopy in input program
2025-11-03T17:46:30.1694339Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-11-03T17:46:30.1695075Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-11-03T17:46:30.1695732Z     anchors = self.anchor_generator(images, features)
2025-11-03T17:46:30.1696432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward
2025-11-03T17:46:30.1697102Z     self.set_cell_anchors(dtype, device)
2025-11-03T17:46:30.1697823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-11-03T17:46:30.1698725Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T17:46:30.1700002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-11-03T17:46:30.1700883Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T17:46:30.1701301Z 
2025-11-03T17:46:30.1701470Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-11-03T17:46:30.1702145Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-11-03T17:46:30.1702794Z     anchors = self.anchor_generator(images, features)
2025-11-03T17:46:30.1703475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward
2025-11-03T17:46:30.1704139Z     self.set_cell_anchors(dtype, device)
2025-11-03T17:46:30.1704828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-11-03T17:46:30.1705785Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T17:46:30.1706653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-11-03T17:46:30.1707519Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T17:46:30.1707928Z 
2025-11-03T17:46:30.1708093Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-11-03T17:46:30.1708758Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-11-03T17:46:30.1709577Z     anchors = self.anchor_generator(images, features)
2025-11-03T17:46:30.1710259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward
2025-11-03T17:46:30.1710912Z     self.set_cell_anchors(dtype, device)
2025-11-03T17:46:30.1711607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-11-03T17:46:30.1712500Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T17:46:30.1713360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-11-03T17:46:30.1714227Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T17:46:30.1714637Z 
2025-11-03T17:46:30.1714827Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-11-03T17:46:30.1715501Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-11-03T17:46:30.1716146Z     anchors = self.anchor_generator(images, features)
2025-11-03T17:46:30.1716833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward
2025-11-03T17:46:30.1717492Z     self.set_cell_anchors(dtype, device)
2025-11-03T17:46:30.1718174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-11-03T17:46:30.1719063Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T17:46:30.1719923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-11-03T17:46:30.1720784Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T17:46:30.1721196Z 
2025-11-03T17:46:30.1721367Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-11-03T17:46:30.1722034Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-11-03T17:46:30.1722811Z     anchors = self.anchor_generator(images, features)
2025-11-03T17:46:30.1723494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward
2025-11-03T17:46:30.1724151Z     self.set_cell_anchors(dtype, device)
2025-11-03T17:46:30.1724835Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-11-03T17:46:30.1725724Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T17:46:30.1726583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-11-03T17:46:30.1727468Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T17:46:30.1727884Z 
2025-11-03T17:46:30.2227936Z cudagraph partition into 2 partitions
2025-11-03T17:46:33.2927387Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0] Graph break from `Tensor.item()`, consider setting:
2025-11-03T17:46:33.2928457Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-11-03T17:46:33.2929281Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0] or:
2025-11-03T17:46:33.2930078Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-11-03T17:46:33.2931035Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0] to include these operations in the captured graph.
2025-11-03T17:46:33.2932593Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0] 
2025-11-03T17:46:33.2942969Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0] Graph break: from user code at:
2025-11-03T17:46:33.2944387Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/generalized_rcnn.py", line 118, in torch_dynamo_resume_in_forward_at_117
2025-11-03T17:46:33.2946084Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0]     detections, detector_losses = self.roi_heads(features, proposals, images.image_sizes, targets)
2025-11-03T17:46:33.2947587Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 763, in forward
2025-11-03T17:46:33.2948934Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0]     box_features = self.box_roi_pool(features, proposals, image_shapes)
2025-11-03T17:46:33.2950199Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 310, in forward
2025-11-03T17:46:33.2951380Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0]     self.scales, self.map_levels = _setup_scales(
2025-11-03T17:46:33.2952586Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in _setup_scales
2025-11-03T17:46:33.2953876Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0]     scales = [_infer_scale(feat, original_input_shape) for feat in features]
2025-11-03T17:46:33.2955172Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in <listcomp>
2025-11-03T17:46:33.2956650Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0]     scales = [_infer_scale(feat, original_input_shape) for feat in features]
2025-11-03T17:46:33.2957945Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 104, in _infer_scale
2025-11-03T17:46:33.2959197Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0]     scale = 2 ** float(torch.tensor(approx_scale).log2().round())
2025-11-03T17:46:33.2960025Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0] 
2025-11-03T17:46:33.2960638Z W1103 17:46:33.291000 24827 site-packages/torch/_dynamo/variables/tensor.py:1060] [12/0] 
2025-11-03T17:46:33.7837902Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T17:46:33.7838881Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 125, in torch_dynamo_resume_in__setup_scales_at_122
2025-11-03T17:46:33.7839758Z     lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item()
2025-11-03T17:46:33.7840099Z 
2025-11-03T17:46:36.3828157Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T17:46:36.3828975Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 126, in torch_dynamo_resume_in__setup_scales_at_125
2025-11-03T17:46:36.3829824Z     lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item()
2025-11-03T17:46:36.3830158Z 
2025-11-03T17:47:46.6158373Z ERROR:common:
2025-11-03T17:47:46.6158732Z Traceback (most recent call last):
2025-11-03T17:47:46.6159276Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2328, in check_accuracy
2025-11-03T17:47:46.6160316Z     new_result = self.run_n_iterations(
2025-11-03T17:47:46.6160853Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2037, in run_n_iterations
2025-11-03T17:47:46.6161563Z     return model_iter_fn(mod, inputs, collect_outputs=True)
2025-11-03T17:47:46.6162226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 912, in compile_wrapper
2025-11-03T17:47:46.6162893Z     return fn(*args, **kwargs)
2025-11-03T17:47:46.6163422Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T17:47:46.6163942Z     return mod(*inputs)
2025-11-03T17:47:46.6164509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1783, in _wrapped_call_impl
2025-11-03T17:47:46.6165154Z     return self._call_impl(*args, **kwargs)
2025-11-03T17:47:46.6165736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1794, in _call_impl
2025-11-03T17:47:46.6166331Z     return forward_call(*args, **kwargs)
2025-11-03T17:47:46.6167007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/generalized_rcnn.py", line 117, in forward
2025-11-03T17:47:46.6167783Z     proposals, proposal_losses = self.rpn(images, features, targets)
2025-11-03T17:47:46.6168500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1783, in _wrapped_call_impl
2025-11-03T17:47:46.6169128Z     return self._call_impl(*args, **kwargs)
2025-11-03T17:47:46.6169729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1794, in _call_impl
2025-11-03T17:47:46.6170350Z     return forward_call(*args, **kwargs)
2025-11-03T17:47:46.6170923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 2067, in __call__
2025-11-03T17:47:46.6171527Z     result = self._torchdynamo_orig_backend(
2025-11-03T17:47:46.6172111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1817, in __call__
2025-11-03T17:47:46.6172775Z     result = self._inner_convert(
2025-11-03T17:47:46.6173514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 703, in __call__
2025-11-03T17:47:46.6174086Z     result = _compile(
2025-11-03T17:47:46.6174608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1687, in _compile
2025-11-03T17:47:46.6175198Z     raise InternalTorchDynamoError(
2025-11-03T17:47:46.6175769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1624, in _compile
2025-11-03T17:47:46.6176449Z     guarded_code, tracer_output = compile_inner(code, one_graph, hooks)
2025-11-03T17:47:46.6177135Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_utils_internal.py", line 97, in wrapper_function
2025-11-03T17:47:46.6177727Z     return function(*args, **kwargs)
2025-11-03T17:47:46.6178316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1306, in compile_inner
2025-11-03T17:47:46.6178947Z     return _compile_inner(code, one_graph, hooks)
2025-11-03T17:47:46.6179572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1340, in _compile_inner
2025-11-03T17:47:46.6180182Z     dynamo_output = compile_frame(
2025-11-03T17:47:46.6180763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1221, in compile_frame
2025-11-03T17:47:46.6181458Z     bytecode, tracer_output = transform_code_object(code, transform)
2025-11-03T17:47:46.6182232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/bytecode_transformation.py", line 1600, in transform_code_object
2025-11-03T17:47:46.6183010Z     tracer_output = transformations(instructions, code_options)
2025-11-03T17:47:46.6183762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1193, in transform
2025-11-03T17:47:46.6184347Z     tracer_output = trace_frame(
2025-11-03T17:47:46.6184888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 325, in _fn
2025-11-03T17:47:46.6185434Z     return fn(*args, **kwargs)
2025-11-03T17:47:46.6185988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 833, in trace_frame
2025-11-03T17:47:46.6186562Z     run_tracer()
2025-11-03T17:47:46.6187069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 815, in run_tracer
2025-11-03T17:47:46.6187633Z     tracer.run()
2025-11-03T17:47:46.6188122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1634, in run
2025-11-03T17:47:46.6188725Z     while self.step():
2025-11-03T17:47:46.6189251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1314, in step
2025-11-03T17:47:46.6189863Z     self.dispatch_table[inst.opcode](self, inst)
2025-11-03T17:47:46.6190474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 853, in wrapper
2025-11-03T17:47:46.6191053Z     return inner_fn(self, inst)
2025-11-03T17:47:46.6191640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2483, in CALL_FUNCTION
2025-11-03T17:47:46.6192261Z     self.call_function(fn, args, {})
2025-11-03T17:47:46.6192866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1220, in call_function
2025-11-03T17:47:46.6193590Z     self.push(fn.call_function(self, args, kwargs))  # type: ignore[arg-type]
2025-11-03T17:47:46.6194329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/lazy.py", line 218, in realize_and_forward
2025-11-03T17:47:46.6195018Z     return getattr(self.realize(), name)(*args, **kwargs)
2025-11-03T17:47:46.6195699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/nn_module.py", line 1103, in call_function
2025-11-03T17:47:46.6196548Z     return variables.UserFunctionVariable(fn, source=source).call_function(
2025-11-03T17:47:46.6197317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 603, in call_function
2025-11-03T17:47:46.6197968Z     return super().call_function(tx, args, kwargs)
2025-11-03T17:47:46.6198616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 347, in call_function
2025-11-03T17:47:46.6199384Z     return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs)
2025-11-03T17:47:46.6200212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1242, in inline_user_function_return
2025-11-03T17:47:46.6201049Z     return InliningInstructionTranslator.inline_call(self, fn, args, kwargs)
2025-11-03T17:47:46.6201808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4664, in inline_call
2025-11-03T17:47:46.6202429Z     return tracer.inline_call_()
2025-11-03T17:47:46.6203024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4883, in inline_call_
2025-11-03T17:47:46.6203627Z     self.run()
2025-11-03T17:47:46.6204128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1634, in run
2025-11-03T17:47:46.6204687Z     while self.step():
2025-11-03T17:47:46.6205204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1314, in step
2025-11-03T17:47:46.6205811Z     self.dispatch_table[inst.opcode](self, inst)
2025-11-03T17:47:46.6206518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 853, in wrapper
2025-11-03T17:47:46.6207096Z     return inner_fn(self, inst)
2025-11-03T17:47:46.6207681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2483, in CALL_FUNCTION
2025-11-03T17:47:46.6208311Z     self.call_function(fn, args, {})
2025-11-03T17:47:46.6208924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1220, in call_function
2025-11-03T17:47:46.6209657Z     self.push(fn.call_function(self, args, kwargs))  # type: ignore[arg-type]
2025-11-03T17:47:46.6210399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 1156, in call_function
2025-11-03T17:47:46.6211071Z     return super().call_function(tx, args, kwargs)
2025-11-03T17:47:46.6211734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 603, in call_function
2025-11-03T17:47:46.6212408Z     return super().call_function(tx, args, kwargs)
2025-11-03T17:47:46.6213141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 347, in call_function
2025-11-03T17:47:46.6213902Z     return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs)
2025-11-03T17:47:46.6214719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1242, in inline_user_function_return
2025-11-03T17:47:46.6215545Z     return InliningInstructionTranslator.inline_call(self, fn, args, kwargs)
2025-11-03T17:47:46.6216298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4664, in inline_call
2025-11-03T17:47:46.6216912Z     return tracer.inline_call_()
2025-11-03T17:47:46.6217495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4883, in inline_call_
2025-11-03T17:47:46.6218098Z     self.run()
2025-11-03T17:47:46.6218589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1634, in run
2025-11-03T17:47:46.6219156Z     while self.step():
2025-11-03T17:47:46.6219751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1314, in step
2025-11-03T17:47:46.6220362Z     self.dispatch_table[inst.opcode](self, inst)
2025-11-03T17:47:46.6220980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 853, in wrapper
2025-11-03T17:47:46.6221567Z     return inner_fn(self, inst)
2025-11-03T17:47:46.6222158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2483, in CALL_FUNCTION
2025-11-03T17:47:46.6222771Z     self.call_function(fn, args, {})
2025-11-03T17:47:46.6223375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1220, in call_function
2025-11-03T17:47:46.6224108Z     self.push(fn.call_function(self, args, kwargs))  # type: ignore[arg-type]
2025-11-03T17:47:46.6224844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 347, in call_function
2025-11-03T17:47:46.6225615Z     return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs)
2025-11-03T17:47:46.6226424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1242, in inline_user_function_return
2025-11-03T17:47:46.6227245Z     return InliningInstructionTranslator.inline_call(self, fn, args, kwargs)
2025-11-03T17:47:46.6227998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4664, in inline_call
2025-11-03T17:47:46.6228609Z     return tracer.inline_call_()
2025-11-03T17:47:46.6229192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4883, in inline_call_
2025-11-03T17:47:46.6229877Z     self.run()
2025-11-03T17:47:46.6230374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1634, in run
2025-11-03T17:47:46.6230950Z     while self.step():
2025-11-03T17:47:46.6231767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1314, in step
2025-11-03T17:47:46.6232375Z     self.dispatch_table[inst.opcode](self, inst)
2025-11-03T17:47:46.6232997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2615, in LOAD_ATTR
2025-11-03T17:47:46.6233598Z     self._load_attr(inst.argval)
2025-11-03T17:47:46.6234182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2602, in _load_attr
2025-11-03T17:47:46.6234821Z     result = BuiltinVariable(getattr).call_function(
2025-11-03T17:47:46.6235477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builtin.py", line 1351, in call_function
2025-11-03T17:47:46.6236114Z     return handler(tx, args, kwargs)
2025-11-03T17:47:46.6236694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builtin.py", line 967, in <lambda>
2025-11-03T17:47:46.6237310Z     tx, [v.realize() for v in args], kwargs
2025-11-03T17:47:46.6237918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builtin.py", line 967, in <listcomp>
2025-11-03T17:47:46.6238541Z     tx, [v.realize() for v in args], kwargs
2025-11-03T17:47:46.6239119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/lazy.py", line 74, in realize
2025-11-03T17:47:46.6239689Z     self._cache.realize()
2025-11-03T17:47:46.6240213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/lazy.py", line 34, in realize
2025-11-03T17:47:46.6240881Z     self.vt = builder.VariableBuilder(tx, self.source)(self.value)
2025-11-03T17:47:46.6241558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 465, in __call__
2025-11-03T17:47:46.6242152Z     vt = self._wrap(value)
2025-11-03T17:47:46.6242687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 692, in _wrap
2025-11-03T17:47:46.6243425Z     return type_dispatch(self, value)
2025-11-03T17:47:46.6244051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 2194, in wrap_tensor
2025-11-03T17:47:46.6244699Z     example_value = wrap_to_fake_tensor_and_record(
2025-11-03T17:47:46.6245422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 3601, in wrap_to_fake_tensor_and_record
2025-11-03T17:47:46.6246113Z     fake_e = wrap_fake_exception(
2025-11-03T17:47:46.6246688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 2929, in wrap_fake_exception
2025-11-03T17:47:46.6247270Z     return fn()
2025-11-03T17:47:46.6247793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 3602, in <lambda>
2025-11-03T17:47:46.6248395Z     lambda: tx.fake_mode.from_tensor(
2025-11-03T17:47:46.6248981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 3057, in from_tensor
2025-11-03T17:47:46.6249628Z     return self.fake_tensor_converter.from_real_tensor(
2025-11-03T17:47:46.6250293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 416, in from_real_tensor
2025-11-03T17:47:46.6250911Z     out = self.meta_converter(
2025-11-03T17:47:46.6251455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/meta_utils.py", line 1924, in __call__
2025-11-03T17:47:46.6252098Z     t_desc = self.describer.describe_tensor(t, trace=trace)
2025-11-03T17:47:46.6252823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/meta_utils.py", line 311, in describe_tensor
2025-11-03T17:47:46.6253668Z     storage = self.describe_storage(t.untyped_storage(), trace=trace)
2025-11-03T17:47:46.6255038Z torch._dynamo.exc.InternalTorchDynamoError: RuntimeError: Error: accessing tensor output of CUDAGraphs that has been overwritten by a subsequent run. Stack trace: File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-11-03T17:47:46.6256477Z     anchors = self.anchor_generator(images, features)
2025-11-03T17:47:46.6257171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward
2025-11-03T17:47:46.6257830Z     self.set_cell_anchors(dtype, device)
2025-11-03T17:47:46.6258523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-11-03T17:47:46.6259417Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T17:47:46.6260294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-11-03T17:47:46.6261714Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]. To prevent overwriting, clone the tensor outside of torch.compile() or call torch.compiler.cudagraph_mark_step_begin() before each model invocation.
2025-11-03T17:47:46.6262670Z 
2025-11-03T17:47:46.6262760Z from user code:
2025-11-03T17:47:46.6263287Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-11-03T17:47:46.6263944Z     anchors = self.anchor_generator(images, features)
2025-11-03T17:47:46.6264639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward
2025-11-03T17:47:46.6265295Z     self.set_cell_anchors(dtype, device)
2025-11-03T17:47:46.6265979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-11-03T17:47:46.6266870Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T17:47:46.6267828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-11-03T17:47:46.6268692Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T17:47:46.6269102Z 
2025-11-03T17:47:46.6269675Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo"
2025-11-03T17:47:46.6270346Z 
2025-11-03T17:47:46.6270564Z TorchDynamo optimized model failed to run because of following error
2025-11-03T17:47:46.6421833Z Compilation time (from dynamo_timed): 97.865606673
2025-11-03T17:47:46.6448811Z fail_to_run
2025-11-03T17:47:46.6472114Z TIMING: gc:0.03336 entire_frame_compile:97.86561 _recursive_pre_grad_passes:0.03018 _recursive_joint_graph_passes:0.58113 _recursive_post_grad_passes:0.33502 async_compile.wait:2.28683 code_gen:8.37494 inductor_compile:16.78363 backend_compile:27.83092 cudagraphify.get_container:0.01629 CachingAutotuner.benchmark_all_configs:1.58152 pad_mm_benchmark:0.00205 CUDAGraphNode.record:0.00579 total_wall_time:97.86561
2025-11-03T17:47:46.6474501Z STATS: call_* op count: 3077 | FakeTensor.__torch_dispatch__:25692 | FakeTensorMode.__torch_dispatch__:51543 | attempt fast:742 | fast is_contiguous:566 | slow both tensors nontrivially broadcast:176 | ProxyTorchDispatchMode.__torch_dispatch__:9833
2025-11-03T17:47:46.6475659Z Dynamo produced 19 graphs covering 1125 ops with 18 graph breaks (3 unique)
2025-11-03T17:47:52.9916106Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:47:52.9918857Z   import pynvml  # type: ignore[import]
2025-11-03T17:47:55.6220957Z 
2025-11-03T17:47:57.8182612Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:47:57.8182953Z loading model: 0it [00:02, ?it/s]
2025-11-03T17:47:57.8280538Z cuda eval  yolov3                             
2025-11-03T17:48:19.2674601Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T17:48:19.2675231Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T17:48:19.2675753Z     return mod(*inputs)
2025-11-03T17:48:19.2676185Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward
2025-11-03T17:48:19.2676677Z     return self.forward_once(x)
2025-11-03T17:48:19.2677149Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once
2025-11-03T17:48:19.2677687Z     yolo_out.append(module(x, out))
2025-11-03T17:48:19.2678153Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward
2025-11-03T17:48:19.2678677Z     self.grid = self.create_grids((nx, ny), p.device)
2025-11-03T17:48:19.2679226Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids
2025-11-03T17:48:19.2679774Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-11-03T17:48:19.2680006Z 
2025-11-03T17:48:19.2680155Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T17:48:19.2680723Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T17:48:19.2681241Z     return mod(*inputs)
2025-11-03T17:48:19.2681658Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward
2025-11-03T17:48:19.2682132Z     return self.forward_once(x)
2025-11-03T17:48:19.2682604Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once
2025-11-03T17:48:19.2683117Z     yolo_out.append(module(x, out))
2025-11-03T17:48:19.2683579Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward
2025-11-03T17:48:19.2684112Z     self.grid = self.create_grids((nx, ny), p.device)
2025-11-03T17:48:19.2685001Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids
2025-11-03T17:48:19.2685542Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-11-03T17:48:19.2685777Z 
2025-11-03T17:48:19.2685923Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T17:48:19.2686486Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T17:48:19.2686989Z     return mod(*inputs)
2025-11-03T17:48:19.2687401Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward
2025-11-03T17:48:19.2687879Z     return self.forward_once(x)
2025-11-03T17:48:19.2688349Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once
2025-11-03T17:48:19.2688886Z     yolo_out.append(module(x, out))
2025-11-03T17:48:19.2689361Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward
2025-11-03T17:48:19.2689883Z     self.grid = self.create_grids((nx, ny), p.device)
2025-11-03T17:48:19.2690408Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids
2025-11-03T17:48:19.2690941Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-11-03T17:48:19.2691168Z 
2025-11-03T17:48:19.5647168Z cudagraph partition into 2 partitions
2025-11-03T17:48:39.3418701Z Compilation time (from dynamo_timed): 35.403656471
2025-11-03T17:48:39.3419063Z pass
2025-11-03T17:48:39.3544816Z TIMING: _recursive_pre_grad_passes:0.01967 _recursive_joint_graph_passes:0.5288 _recursive_post_grad_passes:0.32729 async_compile.wait:4.07637 code_gen:11.38425 inductor_compile:15.38753 backend_compile:23.62503 gc:0.00116 entire_frame_compile:35.40366 cudagraphify.get_container:0.00231 CachingAutotuner.benchmark_all_configs:0.70168 total_wall_time:35.40366
2025-11-03T17:48:39.3547033Z STATS: call_* op count: 670 | FakeTensorMode.__torch_dispatch__:12249 | FakeTensor.__torch_dispatch__:11131 | ProxyTorchDispatchMode.__torch_dispatch__:4101
2025-11-03T17:48:39.3547872Z Dynamo produced 2 graphs covering 670 ops with 0 graph breaks (0 unique)
2025-11-03T17:48:42.2214902Z accuracy            pass_rate=80.00%
2025-11-03T17:48:42.2218726Z calls_captured      gmean=0.00x mean=312.625x
2025-11-03T17:48:42.2222098Z unique_graphs       gmean=0.00x mean=1.600x
2025-11-03T17:48:42.2225821Z graph_breaks        gmean=0.00x mean=0.975x
2025-11-03T17:48:42.2229515Z unique_graph_breaks gmean=0.00x mean=0.275x
2025-11-03T17:48:42.2233938Z autograd_captures   gmean=0.00x mean=0.000x
2025-11-03T17:48:42.2237426Z autograd_compiles   gmean=0.00x mean=0.000x
2025-11-03T17:48:42.2241029Z cudagraph_skips     gmean=nanx mean=-0.125x
2025-11-03T17:48:42.2243353Z compilation_latency mean=15.677 seconds
2025-11-03T17:48:42.9344119Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_inference.csv
2025-11-03T17:48:43.2788385Z llama_v2_7b_16h                     XFAIL
2025-11-03T17:48:43.2792652Z llava                               XFAIL
2025-11-03T17:48:43.2797988Z maml                                XFAIL
2025-11-03T17:48:43.2802942Z maml_omniglot                       PASS
2025-11-03T17:48:43.2808165Z microbench_unbacked_tolist_sum      PASS
2025-11-03T17:48:43.2813345Z mnasnet1_0                          PASS
2025-11-03T17:48:43.2818604Z mobilenet_v2                        PASS
2025-11-03T17:48:43.2823664Z mobilenet_v2_quantized_qat          XFAIL
2025-11-03T17:48:43.2828895Z mobilenet_v3_large                  PASS
2025-11-03T17:48:43.2834991Z moco                                PASS
2025-11-03T17:48:43.2840106Z moondream                           XFAIL
2025-11-03T17:48:43.2845075Z nanogpt                             PASS
2025-11-03T17:48:43.2850211Z nvidia_deeprecommender              PASS
2025-11-03T17:48:43.2855328Z opacus_cifar10                      PASS
2025-11-03T17:48:43.2860387Z phlippe_densenet                    PASS
2025-11-03T17:48:43.2865705Z phlippe_resnet                      PASS
2025-11-03T17:48:43.2870579Z pyhpc_equation_of_state             PASS
2025-11-03T17:48:43.2875527Z pyhpc_isoneutral_mixing             PASS
2025-11-03T17:48:43.2880654Z pyhpc_turbulent_kinetic_energy      PASS
2025-11-03T17:48:43.2885574Z pytorch_CycleGAN_and_pix2pix        PASS
2025-11-03T17:48:43.2890576Z pytorch_stargan                     PASS
2025-11-03T17:48:43.2895854Z pytorch_unet                        PASS
2025-11-03T17:48:43.2900939Z resnet152                           PASS
2025-11-03T17:48:43.2905841Z resnet18                            PASS
2025-11-03T17:48:43.2910922Z resnet50                            PASS
2025-11-03T17:48:43.2915903Z resnet50_quantized_qat              XFAIL
2025-11-03T17:48:43.2921011Z resnext50_32x4d                     PASS
2025-11-03T17:48:43.2925992Z sam                                 PASS
2025-11-03T17:48:43.2930997Z sam_fast                            PASS
2025-11-03T17:48:43.2936600Z shufflenet_v2_x1_0                  PASS
2025-11-03T17:48:43.2941682Z soft_actor_critic                   PASS
2025-11-03T17:48:43.2947629Z speech_transformer                  PASS
2025-11-03T17:48:43.2951660Z squeezenet1_1                       PASS
2025-11-03T17:48:43.2956104Z stable_diffusion_text_encoder       PASS
2025-11-03T17:48:43.2960976Z stable_diffusion_unet               XFAIL
2025-11-03T17:48:43.2965726Z torch_multimodal_clip               PASS
2025-11-03T17:48:43.2970558Z tts_angular                         PASS
2025-11-03T17:48:43.2975709Z vgg16                               PASS
2025-11-03T17:48:43.2980473Z vision_maskrcnn                     FAIL_BUT_FLAKY: accuracy=fail_to_run, expected=pass
2025-11-03T17:48:43.2985148Z yolov3                              PASS
2025-11-03T17:48:43.3540810Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_inference.csv
2025-11-03T17:48:43.6946745Z llama_v2_7b_16h                     PASS
2025-11-03T17:48:43.6950023Z llava                               PASS
2025-11-03T17:48:43.6955131Z maml                                PASS
2025-11-03T17:48:43.6960145Z maml_omniglot                       PASS
2025-11-03T17:48:43.6965110Z microbench_unbacked_tolist_sum      PASS
2025-11-03T17:48:43.6969994Z mnasnet1_0                          PASS
2025-11-03T17:48:43.6975103Z mobilenet_v2                        PASS
2025-11-03T17:48:43.6980056Z mobilenet_v2_quantized_qat          PASS
2025-11-03T17:48:43.6985145Z mobilenet_v3_large                  PASS
2025-11-03T17:48:43.6990121Z moco                                PASS
2025-11-03T17:48:43.6995131Z moondream                           PASS
2025-11-03T17:48:43.7000004Z nanogpt                             PASS
2025-11-03T17:48:43.7005088Z nvidia_deeprecommender              PASS
2025-11-03T17:48:43.7009900Z opacus_cifar10                      PASS
2025-11-03T17:48:43.7015160Z phlippe_densenet                    PASS
2025-11-03T17:48:43.7020100Z phlippe_resnet                      PASS
2025-11-03T17:48:43.7025142Z pyhpc_equation_of_state             PASS
2025-11-03T17:48:43.7034123Z pyhpc_isoneutral_mixing             PASS
2025-11-03T17:48:43.7036675Z pyhpc_turbulent_kinetic_energy      PASS
2025-11-03T17:48:43.7041544Z pytorch_CycleGAN_and_pix2pix        PASS
2025-11-03T17:48:43.7046493Z pytorch_stargan                     PASS
2025-11-03T17:48:43.7051389Z pytorch_unet                        PASS
2025-11-03T17:48:43.7056779Z resnet152                           PASS
2025-11-03T17:48:43.7061750Z resnet18                            PASS
2025-11-03T17:48:43.7066729Z resnet50                            PASS
2025-11-03T17:48:43.7071714Z resnet50_quantized_qat              PASS
2025-11-03T17:48:43.7076706Z resnext50_32x4d                     PASS
2025-11-03T17:48:43.7081643Z sam                                 PASS
2025-11-03T17:48:43.7086699Z sam_fast                            PASS
2025-11-03T17:48:43.7091737Z shufflenet_v2_x1_0                  PASS
2025-11-03T17:48:43.7096869Z soft_actor_critic                   PASS
2025-11-03T17:48:43.7101796Z speech_transformer                  PASS
2025-11-03T17:48:43.7106845Z squeezenet1_1                       PASS
2025-11-03T17:48:43.7111750Z stable_diffusion_text_encoder       PASS
2025-11-03T17:48:43.7116824Z stable_diffusion_unet               PASS
2025-11-03T17:48:43.7121698Z torch_multimodal_clip               PASS
2025-11-03T17:48:43.7126678Z tts_angular                         PASS
2025-11-03T17:48:43.7131630Z vgg16                               PASS
2025-11-03T17:48:43.7137315Z vision_maskrcnn                     PASS
2025-11-03T17:48:43.7142074Z yolov3                              PASS_BUT_FLAKY
2025-11-03T17:48:43.7681396Z + test_single_dynamo_benchmark training torchbench 1 --training --amp
2025-11-03T17:48:43.7686477Z ++ pwd
2025-11-03T17:48:43.7689637Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-11-03T17:48:43.7690118Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-11-03T17:48:43.7727561Z + local name=training
2025-11-03T17:48:43.7727812Z + shift
2025-11-03T17:48:43.7728101Z + local suite=torchbench
2025-11-03T17:48:43.7730582Z + shift
2025-11-03T17:48:43.7730838Z + local shard_id=1
2025-11-03T17:48:43.7731504Z + shift
2025-11-03T17:48:43.7731766Z + partition_flags=()
2025-11-03T17:48:43.7732013Z + local partition_flags
2025-11-03T17:48:43.7732247Z + [[ -n 2 ]]
2025-11-03T17:48:43.7732532Z + [[ -n 1 ]]
2025-11-03T17:48:43.7732921Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id")
2025-11-03T17:48:43.7733424Z + [[ inductor_torchbench == *perf_compare* ]]
2025-11-03T17:48:43.7734027Z + [[ inductor_torchbench == *perf* ]]
2025-11-03T17:48:43.7734324Z + [[ inductor_torchbench == *_avx2* ]]
2025-11-03T17:48:43.7734622Z + [[ inductor_torchbench == *_avx512* ]]
2025-11-03T17:48:43.7735801Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cuda --training --amp --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/training_torchbench.csv
2025-11-03T17:48:44.3596115Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:48:44.3597386Z   import pynvml  # type: ignore[import]
2025-11-03T17:48:47.5819069Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:48:47.5821780Z   import pynvml  # type: ignore[import]
2025-11-03T17:48:50.2112461Z 
2025-11-03T17:48:50.8921480Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:48:50.8921907Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:48:50.8922315Z cuda train llava                              
2025-11-03T17:48:50.8931477Z Traceback (most recent call last):
2025-11-03T17:48:50.8932270Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4245, in run
2025-11-03T17:48:50.8932946Z     ) = runner.load_model(
2025-11-03T17:48:50.8933426Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 305, in load_model
2025-11-03T17:48:50.8933951Z     benchmark = benchmark_cls(
2025-11-03T17:48:50.8934348Z   File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__
2025-11-03T17:48:50.8934790Z     obj = type.__call__(cls, *args, **kwargs)
2025-11-03T17:48:50.8935276Z   File "/torchbench/torchbenchmark/models/llava/__init__.py", line 12, in __init__
2025-11-03T17:48:50.8935736Z     super().__init__(
2025-11-03T17:48:50.8936240Z   File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__
2025-11-03T17:48:50.8937034Z     super().__init__(
2025-11-03T17:48:50.8937392Z   File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__
2025-11-03T17:48:50.8937818Z     self._skip_by_device_name()
2025-11-03T17:48:50.8938265Z   File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name
2025-11-03T17:48:50.8938752Z     raise NotImplementedError(
2025-11-03T17:48:50.8939232Z NotImplementedError: The current device NVIDIA A10G is skipped by its `llava/metadata.yaml`.
2025-11-03T17:48:50.8939653Z 
2025-11-03T17:48:50.8939741Z model_fail_to_load
2025-11-03T17:48:52.4054665Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:48:52.4055980Z   import pynvml  # type: ignore[import]
2025-11-03T17:48:55.0239834Z 
2025-11-03T17:48:56.0268796Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:48:56.0269173Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:48:56.0269502Z cuda train maml_omniglot                      
2025-11-03T17:49:07.8112759Z W1103 17:49:07.810000 26903 site-packages/torch/_logging/_internal.py:1200] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-11-03T17:49:11.9722260Z Compilation time (from dynamo_timed): 14.795779788
2025-11-03T17:49:11.9722639Z pass
2025-11-03T17:49:11.9724461Z TIMING: gc:0.00409 entire_frame_compile:9.90322 _recursive_pre_grad_passes:0.00895 pad_mm_benchmark:0.00165 _recursive_joint_graph_passes:0.20549 _recursive_post_grad_passes:0.05236 async_compile.precompile:1.18206 async_compile.wait:2.98344 code_gen:9.34733 inductor_compile:10.39988 backend_compile:8.42726 cudagraphify.get_container:0.00302 CachingAutotuner.benchmark_all_configs:0.27714 entire_backward_compile:4.89256 CUDAGraphNode.record:0.00717 total_wall_time:14.79578
2025-11-03T17:49:11.9727064Z STATS: call_* op count: 107 | FakeTensor.__torch_dispatch__:2474 | FakeTensorMode.__torch_dispatch__:2812 | ProxyTorchDispatchMode.__torch_dispatch__:857
2025-11-03T17:49:11.9727888Z Dynamo produced 3 graphs covering 107 ops with 7 graph breaks (5 unique)
2025-11-03T17:49:14.7081546Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:49:14.7082847Z   import pynvml  # type: ignore[import]
2025-11-03T17:49:17.3232844Z 
2025-11-03T17:49:17.7915831Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:49:17.7916192Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:49:17.7916506Z cuda train microbench_unbacked_tolist_sum     
2025-11-03T17:49:20.9998932Z W1103 17:49:20.998000 27383 site-packages/torch/_dynamo/variables/tensor.py:1060] [4/0] Graph break from `Tensor.item()`, consider setting:
2025-11-03T17:49:20.9999995Z W1103 17:49:20.998000 27383 site-packages/torch/_dynamo/variables/tensor.py:1060] [4/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-11-03T17:49:21.0000808Z W1103 17:49:20.998000 27383 site-packages/torch/_dynamo/variables/tensor.py:1060] [4/0] or:
2025-11-03T17:49:21.0001591Z W1103 17:49:20.998000 27383 site-packages/torch/_dynamo/variables/tensor.py:1060] [4/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-11-03T17:49:21.0002533Z W1103 17:49:20.998000 27383 site-packages/torch/_dynamo/variables/tensor.py:1060] [4/0] to include these operations in the captured graph.
2025-11-03T17:49:21.0003320Z W1103 17:49:20.998000 27383 site-packages/torch/_dynamo/variables/tensor.py:1060] [4/0] 
2025-11-03T17:49:21.0004068Z W1103 17:49:20.998000 27383 site-packages/torch/_dynamo/variables/tensor.py:1060] [4/0] Graph break: from user code at:
2025-11-03T17:49:21.0005724Z W1103 17:49:20.998000 27383 site-packages/torch/_dynamo/variables/tensor.py:1060] [4/0]   File "/torchbench/torchbenchmark/models/microbench_unbacked_tolist_sum/__init__.py", line 18, in torch_dynamo_resume_in_forward_at_13
2025-11-03T17:49:21.0006960Z W1103 17:49:20.998000 27383 site-packages/torch/_dynamo/variables/tensor.py:1060] [4/0]     sum += tv[i].item()
2025-11-03T17:49:21.0007647Z W1103 17:49:20.998000 27383 site-packages/torch/_dynamo/variables/tensor.py:1060] [4/0] 
2025-11-03T17:49:21.0008235Z W1103 17:49:20.998000 27383 site-packages/torch/_dynamo/variables/tensor.py:1060] [4/0] 
2025-11-03T17:49:21.1987572Z W1103 17:49:21.197000 27383 site-packages/torch/_logging/_internal.py:1200] [10/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-11-03T17:49:21.9333857Z Compilation time (from dynamo_timed): 3.258753378
2025-11-03T17:49:21.9334358Z pass
2025-11-03T17:49:21.9336674Z TIMING: gc:0.00518 entire_frame_compile:3.25875 _recursive_pre_grad_passes:0.00651 _recursive_joint_graph_passes:0.30053 inductor_compile:0.30156 backend_compile:2.15327 _recursive_post_grad_passes:0.01743 async_compile.precompile:0.15036 async_compile.wait:0.00017 code_gen:0.21753 cudagraphify.get_container:0.00221 CUDAGraphNode.record:0.0011 total_wall_time:3.25875
2025-11-03T17:49:21.9338571Z STATS: call_* op count: 30 | FakeTensor.__torch_dispatch__:2133 | FakeTensorMode.__torch_dispatch__:512 | ProxyTorchDispatchMode.__torch_dispatch__:62
2025-11-03T17:49:21.9339378Z Dynamo produced 4 graphs covering 30 ops with 9 graph breaks (6 unique)
2025-11-03T17:49:27.3974188Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:49:27.3977280Z   import pynvml  # type: ignore[import]
2025-11-03T17:49:30.0169603Z 
2025-11-03T17:49:32.7391848Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:49:32.7392194Z loading model: 0it [00:02, ?it/s]
2025-11-03T17:49:32.7392530Z cuda train mnasnet1_0                         
2025-11-03T17:50:08.9195010Z W1103 17:50:08.918000 27489 site-packages/torch/_logging/_internal.py:1200] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-11-03T17:50:42.9357607Z Compilation time (from dynamo_timed): 63.370735193
2025-11-03T17:50:42.9379470Z pass
2025-11-03T17:50:42.9410674Z TIMING: gc:0.00771 entire_frame_compile:52.36003 _recursive_pre_grad_passes:0.02996 pad_mm_benchmark:0.00171 _recursive_joint_graph_passes:0.46089 _recursive_post_grad_passes:0.44897 async_compile.wait:3.01568 code_gen:20.10002 inductor_compile:33.28454 backend_compile:38.30501 cudagraphify.get_container:0.00318 CachingAutotuner.benchmark_all_configs:2.13953 entire_backward_compile:11.01071 CUDAGraphNode.record:0.12988 total_wall_time:63.37074
2025-11-03T17:50:42.9412971Z STATS: call_* op count: 965 | FakeTensorMode.__torch_dispatch__:24670 | FakeTensor.__torch_dispatch__:29912 | ProxyTorchDispatchMode.__torch_dispatch__:10098
2025-11-03T17:50:42.9413814Z Dynamo produced 3 graphs covering 965 ops with 7 graph breaks (5 unique)
2025-11-03T17:50:47.4721644Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:50:47.4723023Z   import pynvml  # type: ignore[import]
2025-11-03T17:50:50.0733851Z 
2025-11-03T17:50:52.2127258Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:50:52.2127595Z loading model: 0it [00:02, ?it/s]
2025-11-03T17:50:52.2127904Z cuda train mobilenet_v2                       
2025-11-03T17:51:29.7987559Z Compilation time (from dynamo_timed): 32.791443816
2025-11-03T17:51:29.8007051Z pass
2025-11-03T17:51:29.8063349Z TIMING: gc:0.0036 entire_frame_compile:19.93653 _recursive_pre_grad_passes:0.00978 pad_mm_benchmark:0.00166 _recursive_joint_graph_passes:0.33784 _recursive_post_grad_passes:0.44998 async_compile.wait:0.19523 code_gen:9.96311 inductor_compile:17.62313 backend_compile:13.06293 cudagraphify.get_container:0.00311 CachingAutotuner.benchmark_all_configs:1.60803 entire_backward_compile:12.85491 CUDAGraphNode.record:0.05887 total_wall_time:32.79144
2025-11-03T17:51:29.8065594Z STATS: call_* op count: 157 | FakeTensorMode.__torch_dispatch__:17680 | FakeTensor.__torch_dispatch__:17131 | ProxyTorchDispatchMode.__torch_dispatch__:6881
2025-11-03T17:51:29.8066442Z Dynamo produced 2 graphs covering 157 ops with 6 graph breaks (5 unique)
2025-11-03T17:51:33.5546157Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:51:33.5547478Z   import pynvml  # type: ignore[import]
2025-11-03T17:51:36.1739214Z 
2025-11-03T17:51:38.0100756Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:51:38.0101089Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:51:38.0101398Z cuda train mobilenet_v2_quantized_qat         
2025-11-03T17:51:38.0101763Z Traceback (most recent call last):
2025-11-03T17:51:38.0102289Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1998, in validate_model
2025-11-03T17:51:38.0102830Z     self.model_iter_fn(model, example_inputs)
2025-11-03T17:51:38.0103444Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in forward_and_backward_pass
2025-11-03T17:51:38.0104043Z     pred = mod(*cloned_inputs)
2025-11-03T17:51:38.0104594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 847, in call_wrapped
2025-11-03T17:51:38.0105651Z     return self._wrapped_call(self, *args, **kwargs)
2025-11-03T17:51:38.0106235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 415, in __call__
2025-11-03T17:51:38.0106771Z     raise e
2025-11-03T17:51:38.0107238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 402, in __call__
2025-11-03T17:51:38.0107904Z     return super(self.cls, obj).__call__(*args, **kwargs)  # type: ignore[misc]
2025-11-03T17:51:38.0108641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1783, in _wrapped_call_impl
2025-11-03T17:51:38.0109272Z     return self._call_impl(*args, **kwargs)
2025-11-03T17:51:38.0109849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1794, in _call_impl
2025-11-03T17:51:38.0110430Z     return forward_call(*args, **kwargs)
2025-11-03T17:51:38.0110753Z   File "<eval_with_key>.3", line 207, in forward
2025-11-03T17:51:38.0111460Z     activation_post_process_101 = self.activation_post_process_101(classifier_1);  classifier_1 = None
2025-11-03T17:51:38.0112306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1783, in _wrapped_call_impl
2025-11-03T17:51:38.0112935Z     return self._call_impl(*args, **kwargs)
2025-11-03T17:51:38.0113513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1794, in _call_impl
2025-11-03T17:51:38.0114095Z     return forward_call(*args, **kwargs)
2025-11-03T17:51:38.0114709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fake_quantize.py", line 424, in forward
2025-11-03T17:51:38.0115357Z     return torch.fused_moving_avg_obs_fake_quant(
2025-11-03T17:51:38.0115741Z RuntimeError: expected scalar type Half but found Float
2025-11-03T17:51:38.0116001Z 
2025-11-03T17:51:38.0116213Z The above exception was the direct cause of the following exception:
2025-11-03T17:51:38.0116517Z 
2025-11-03T17:51:38.0116621Z Traceback (most recent call last):
2025-11-03T17:51:38.0117070Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4245, in run
2025-11-03T17:51:38.0117536Z     ) = runner.load_model(
2025-11-03T17:51:38.0118158Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 379, in load_model
2025-11-03T17:51:38.0118702Z     self.validate_model(model, example_inputs)
2025-11-03T17:51:38.0119228Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2000, in validate_model
2025-11-03T17:51:38.0119779Z     raise RuntimeError("Eager run failed") from e
2025-11-03T17:51:38.0120109Z RuntimeError: Eager run failed
2025-11-03T17:51:38.0120282Z 
2025-11-03T17:51:38.0120372Z eager_fail_to_run
2025-11-03T17:51:39.7534564Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:51:39.7535891Z   import pynvml  # type: ignore[import]
2025-11-03T17:51:42.3836725Z 
2025-11-03T17:51:44.9111382Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:51:44.9112140Z loading model: 0it [00:02, ?it/s]
2025-11-03T17:51:44.9112904Z cuda train mobilenet_v3_large                 
2025-11-03T17:52:30.4239704Z W1103 17:52:30.423000 31600 site-packages/torch/_logging/_internal.py:1200] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-11-03T17:53:08.0790065Z E1103 17:53:08.078000 31600 site-packages/torch/_dynamo/utils.py:3189] RMSE (res-fp64): 3.23734, (ref-fp64): 0.98800 and shape=torch.Size([16, 1, 3, 3]). res.dtype: torch.float32, multiplier: 3.000000, tol: 0.001000, use_larger_multiplier_for_smaller_tensor: 0
2025-11-03T17:53:08.0791511Z E1103 17:53:08.078000 31600 site-packages/torch/_dynamo/utils.py:3050] Accuracy failed for key name features.1.block.0.0.weight.grad
2025-11-03T17:53:08.1056351Z Compilation time (from dynamo_timed): 75.55552411400001
2025-11-03T17:53:08.1077658Z pass
2025-11-03T17:53:08.1116133Z TIMING: gc:0.00507 entire_frame_compile:60.15503 _recursive_pre_grad_passes:0.03392 pad_mm_benchmark:0.00344 _recursive_joint_graph_passes:0.73052 _recursive_post_grad_passes:0.59791 async_compile.wait:3.68776 code_gen:24.81554 inductor_compile:41.61311 backend_compile:44.34114 cudagraphify.get_container:0.00403 CachingAutotuner.benchmark_all_configs:3.19756 entire_backward_compile:15.40049 CUDAGraphNode.record:0.1611 total_wall_time:75.55552
2025-11-03T17:53:08.1118346Z STATS: call_* op count: 1080 | FakeTensorMode.__torch_dispatch__:28605 | FakeTensor.__torch_dispatch__:36208 | ProxyTorchDispatchMode.__torch_dispatch__:11284
2025-11-03T17:53:08.1119190Z Dynamo produced 3 graphs covering 1080 ops with 7 graph breaks (5 unique)
2025-11-03T17:53:13.0779949Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:53:13.0781284Z   import pynvml  # type: ignore[import]
2025-11-03T17:53:15.6977251Z 
2025-11-03T17:53:18.1063501Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:53:18.1063958Z loading model: 0it [00:02, ?it/s]
2025-11-03T17:53:18.1064359Z cuda train moco                               
2025-11-03T17:53:23.1348716Z [rank0]:W1103 17:53:23.133000 35066 site-packages/torch/_logging/_internal.py:1200] [2/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-11-03T17:53:34.8598793Z [rank0]:W1103 17:53:34.858000 35066 site-packages/torch/_dynamo/backends/distributed.py:110] [6/0_1] Some buckets were extended beyond their requested parameter capacities in order to ensure each subgraph has an output node, required for fx graph partitioning. This can be the case when a subgraph would have only contained nodes performing inplace mutation, and returning no logical outputs. This should not be a problem, unless it results in too few graph partitions for optimal DDP performance.
2025-11-03T17:53:34.8848360Z [rank0]:W1103 17:53:34.884000 35066 site-packages/torch/_dynamo/backends/distributed.py:127] [6/0_1] DDPOptimizer extended these buckets to ensure per-subgraph output nodes:
2025-11-03T17:53:34.8849939Z [rank0]:W1103 17:53:34.884000 35066 site-packages/torch/_dynamo/backends/distributed.py:127] [6/0_1] ┌─────────┬─────────────┬────────────────────────┐
2025-11-03T17:53:34.8851100Z [rank0]:W1103 17:53:34.884000 35066 site-packages/torch/_dynamo/backends/distributed.py:127] [6/0_1] │   Index │   Extra Ops │   Extra Param Size (b) │
2025-11-03T17:53:34.8852276Z [rank0]:W1103 17:53:34.884000 35066 site-packages/torch/_dynamo/backends/distributed.py:127] [6/0_1] ├─────────┼─────────────┼────────────────────────┤
2025-11-03T17:53:34.8853459Z [rank0]:W1103 17:53:34.884000 35066 site-packages/torch/_dynamo/backends/distributed.py:127] [6/0_1] │       0 │         480 │               94032128 │
2025-11-03T17:53:34.8854607Z [rank0]:W1103 17:53:34.884000 35066 site-packages/torch/_dynamo/backends/distributed.py:127] [6/0_1] └─────────┴─────────────┴────────────────────────┘
2025-11-03T17:54:05.5538149Z [rank0]:W1103 17:54:05.552000 35066 site-packages/torch/_dynamo/variables/tensor.py:1060] [9/0] Graph break from `Tensor.item()`, consider setting:
2025-11-03T17:54:05.5539241Z [rank0]:W1103 17:54:05.552000 35066 site-packages/torch/_dynamo/variables/tensor.py:1060] [9/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-11-03T17:54:05.5540104Z [rank0]:W1103 17:54:05.552000 35066 site-packages/torch/_dynamo/variables/tensor.py:1060] [9/0] or:
2025-11-03T17:54:05.5540931Z [rank0]:W1103 17:54:05.552000 35066 site-packages/torch/_dynamo/variables/tensor.py:1060] [9/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-11-03T17:54:05.5542828Z [rank0]:W1103 17:54:05.552000 35066 site-packages/torch/_dynamo/variables/tensor.py:1060] [9/0] to include these operations in the captured graph.
2025-11-03T17:54:05.5543658Z [rank0]:W1103 17:54:05.552000 35066 site-packages/torch/_dynamo/variables/tensor.py:1060] [9/0] 
2025-11-03T17:54:05.5544446Z [rank0]:W1103 17:54:05.552000 35066 site-packages/torch/_dynamo/variables/tensor.py:1060] [9/0] Graph break: from user code at:
2025-11-03T17:54:05.5545691Z [rank0]:W1103 17:54:05.552000 35066 site-packages/torch/_dynamo/variables/tensor.py:1060] [9/0]   File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 167, in torch_dynamo_resume_in_forward_at_142
2025-11-03T17:54:05.5546922Z [rank0]:W1103 17:54:05.552000 35066 site-packages/torch/_dynamo/variables/tensor.py:1060] [9/0]     self._dequeue_and_enqueue(k)
2025-11-03T17:54:05.5548155Z [rank0]:W1103 17:54:05.552000 35066 site-packages/torch/_dynamo/variables/tensor.py:1060] [9/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
2025-11-03T17:54:05.5549386Z [rank0]:W1103 17:54:05.552000 35066 site-packages/torch/_dynamo/variables/tensor.py:1060] [9/0]     return func(*args, **kwargs)
2025-11-03T17:54:05.5550551Z [rank0]:W1103 17:54:05.552000 35066 site-packages/torch/_dynamo/variables/tensor.py:1060] [9/0]   File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 68, in _dequeue_and_enqueue
2025-11-03T17:54:05.5551700Z [rank0]:W1103 17:54:05.552000 35066 site-packages/torch/_dynamo/variables/tensor.py:1060] [9/0]     ptr = int(self.queue_ptr)
2025-11-03T17:54:05.5552488Z [rank0]:W1103 17:54:05.552000 35066 site-packages/torch/_dynamo/variables/tensor.py:1060] [9/0] 
2025-11-03T17:54:05.5553172Z [rank0]:W1103 17:54:05.552000 35066 site-packages/torch/_dynamo/variables/tensor.py:1060] [9/0] 
2025-11-03T17:54:40.1030677Z Compilation time (from dynamo_timed): 72.542683138
2025-11-03T17:54:40.1075993Z pass
2025-11-03T17:54:40.1440963Z TIMING: gc:0.01133 entire_frame_compile:55.32843 _recursive_pre_grad_passes:0.11196 _recursive_joint_graph_passes:0.82052 inductor_compile:37.59827 backend_compile:35.88891 _recursive_post_grad_passes:1.13734 async_compile.wait:8.39144 code_gen:25.47184 pad_mm_benchmark:0.00366 cudagraphify.get_container:0.00896 CachingAutotuner.benchmark_all_configs:3.67145 entire_backward_compile:17.21425 CUDAGraphNode.record:0.08657 total_wall_time:72.54268
2025-11-03T17:54:40.1443263Z STATS: call_* op count: 887 | FakeTensorMode.__torch_dispatch__:31426 | ProxyTorchDispatchMode.__torch_dispatch__:11692 | FakeTensor.__torch_dispatch__:26822
2025-11-03T17:54:40.1444118Z Dynamo produced 10 graphs covering 887 ops with 13 graph breaks (9 unique)
2025-11-03T17:54:42.1522634Z [rank0]:[W1103 17:54:42.078368917 ProcessGroupNCCL.cpp:1552] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
2025-11-03T17:54:45.2178064Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:54:45.2179371Z   import pynvml  # type: ignore[import]
2025-11-03T17:54:47.8318243Z 
2025-11-03T17:54:49.5563932Z loading model: 0it [00:00, ?it/s]number of parameters: 123.69M
2025-11-03T17:54:49.7988324Z num decayed parameter tensors: 50, with 124,354,560 parameters
2025-11-03T17:54:49.7988914Z num non-decayed parameter tensors: 98, with 121,344 parameters
2025-11-03T17:54:49.7990303Z using fused AdamW: True
2025-11-03T17:54:50.3535231Z 
2025-11-03T17:54:50.3535509Z loading model: 0it [00:02, ?it/s]
2025-11-03T17:54:50.3535915Z cuda train nanogpt                            
2025-11-03T17:55:15.8985051Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in torch_dynamo_resume_in_forward_and_backward_pass_at_464
2025-11-03T17:55:15.8986870Z     pred = mod(*cloned_inputs)
2025-11-03T17:55:15.8987362Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 240, in forward
2025-11-03T17:55:15.8987927Z     x[:, [-1], :]
2025-11-03T17:55:15.8988068Z 
2025-11-03T17:55:15.8988073Z 
2025-11-03T17:55:16.3274339Z W1103 17:55:16.326000 37990 site-packages/torch/_logging/_internal.py:1200] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-11-03T17:55:44.4710886Z Compilation time (from dynamo_timed): 51.3514193
2025-11-03T17:55:44.4726847Z pass
2025-11-03T17:55:44.5380393Z TIMING: gc:0.00599 entire_frame_compile:43.3046 _recursive_pre_grad_passes:0.02884 pad_mm_benchmark:0.07353 _recursive_joint_graph_passes:1.20726 _recursive_post_grad_passes:0.77402 async_compile.wait:2.68966 code_gen:16.51007 inductor_compile:28.03648 backend_compile:33.25006 cudagraphify.get_container:0.03893 CachingAutotuner.benchmark_all_configs:0.44847 entire_backward_compile:8.04682 CUDAGraphNode.record:0.02471 total_wall_time:51.35142
2025-11-03T17:55:44.5383838Z STATS: call_* op count: 1156 | FakeTensorMode.__torch_dispatch__:27902 | FakeTensor.__torch_dispatch__:28285 | ProxyTorchDispatchMode.__torch_dispatch__:9517
2025-11-03T17:55:44.5385128Z Dynamo produced 3 graphs covering 1156 ops with 7 graph breaks (5 unique)
2025-11-03T17:55:48.4992889Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:55:48.4994280Z   import pynvml  # type: ignore[import]
2025-11-03T17:55:51.1010909Z 
2025-11-03T17:55:53.4591312Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:55:53.4591764Z loading model: 0it [00:02, ?it/s]
2025-11-03T17:55:53.4592136Z cuda train nvidia_deeprecommender             
2025-11-03T17:56:00.4422316Z W1103 17:56:00.441000 38611 site-packages/torch/_logging/_internal.py:1200] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-11-03T17:56:04.1143076Z Compilation time (from dynamo_timed): 8.561319162
2025-11-03T17:56:04.1143584Z pass
2025-11-03T17:56:04.1404986Z TIMING: gc:0.00375 entire_frame_compile:7.88627 _recursive_pre_grad_passes:0.00855 pad_mm_benchmark:0.00886 _recursive_joint_graph_passes:0.22742 _recursive_post_grad_passes:0.065 async_compile.precompile:1.26552 async_compile.wait:1.42574 code_gen:3.61104 inductor_compile:4.47663 backend_compile:6.48927 cudagraphify.get_container:0.01532 CachingAutotuner.benchmark_all_configs:0.56561 entire_backward_compile:0.67505 CUDAGraphNode.record:0.00664 total_wall_time:8.56132
2025-11-03T17:56:04.1407318Z STATS: call_* op count: 96 | FakeTensorMode.__torch_dispatch__:2618 | FakeTensor.__torch_dispatch__:2386 | ProxyTorchDispatchMode.__torch_dispatch__:852
2025-11-03T17:56:04.1408145Z Dynamo produced 3 graphs covering 96 ops with 7 graph breaks (5 unique)
2025-11-03T17:56:06.8002360Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:56:06.8003718Z   import pynvml  # type: ignore[import]
2025-11-03T17:56:09.4293034Z 
2025-11-03T17:56:10.6140773Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:56:10.6141122Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:56:10.6141422Z cuda train opacus_cifar10                     
2025-11-03T17:56:10.6157991Z Traceback (most recent call last):
2025-11-03T17:56:10.6158527Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1998, in validate_model
2025-11-03T17:56:10.6159114Z     self.model_iter_fn(model, example_inputs)
2025-11-03T17:56:10.6160041Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 471, in forward_and_backward_pass
2025-11-03T17:56:10.6160668Z     self.grad_scaler.scale(loss).backward()
2025-11-03T17:56:10.6161213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward
2025-11-03T17:56:10.6161750Z     torch.autograd.backward(
2025-11-03T17:56:10.6162294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward
2025-11-03T17:56:10.6162862Z     _engine_run_backward(
2025-11-03T17:56:10.6163429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward
2025-11-03T17:56:10.6164269Z     return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2025-11-03T17:56:10.6165062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 90, in __call__
2025-11-03T17:56:10.6165662Z     return self.hook(module, *args, **kwargs)
2025-11-03T17:56:10.6166361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/opacus/grad_sample/grad_sample_module.py", line 327, in capture_backprops_hook
2025-11-03T17:56:10.6167107Z     activations, backprops = self.rearrange_grad_samples(
2025-11-03T17:56:10.6167852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/opacus/grad_sample/grad_sample_module.py", line 383, in rearrange_grad_samples
2025-11-03T17:56:10.6168529Z     raise ValueError(
2025-11-03T17:56:10.6169063Z ValueError: No activations detected for <class 'torch.nn.modules.linear.Linear'>, run forward after add_hooks(model)
2025-11-03T17:56:10.6169558Z 
2025-11-03T17:56:10.6169767Z The above exception was the direct cause of the following exception:
2025-11-03T17:56:10.6170073Z 
2025-11-03T17:56:10.6170179Z Traceback (most recent call last):
2025-11-03T17:56:10.6171004Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4245, in run
2025-11-03T17:56:10.6171484Z     ) = runner.load_model(
2025-11-03T17:56:10.6171951Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 379, in load_model
2025-11-03T17:56:10.6172575Z     self.validate_model(model, example_inputs)
2025-11-03T17:56:10.6173274Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2000, in validate_model
2025-11-03T17:56:10.6173829Z     raise RuntimeError("Eager run failed") from e
2025-11-03T17:56:10.6174164Z RuntimeError: Eager run failed
2025-11-03T17:56:10.6174338Z 
2025-11-03T17:56:10.6174428Z eager_fail_to_run
2025-11-03T17:56:12.3279664Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:56:12.3280993Z   import pynvml  # type: ignore[import]
2025-11-03T17:56:14.9665662Z 
2025-11-03T17:56:16.0882848Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:56:16.0883293Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:56:16.0883608Z cuda train phlippe_densenet                   
2025-11-03T17:56:52.8017954Z Compilation time (from dynamo_timed): 33.80974108
2025-11-03T17:56:52.8037025Z pass
2025-11-03T17:56:52.8043562Z TIMING: gc:0.0041 entire_frame_compile:22.43941 _recursive_pre_grad_passes:0.00924 pad_mm_benchmark:0.00175 _recursive_joint_graph_passes:0.55839 _recursive_post_grad_passes:0.37769 async_compile.wait:0.50626 code_gen:12.6075 inductor_compile:18.01843 backend_compile:15.38582 cudagraphify.get_container:0.00222 CachingAutotuner.benchmark_all_configs:1.58372 entire_backward_compile:11.37033 CUDAGraphNode.record:0.05578 total_wall_time:33.80974
2025-11-03T17:56:52.8046292Z STATS: call_* op count: 190 | FakeTensorMode.__torch_dispatch__:17169 | FakeTensor.__torch_dispatch__:14446 | ProxyTorchDispatchMode.__torch_dispatch__:6805
2025-11-03T17:56:52.8047127Z Dynamo produced 2 graphs covering 190 ops with 6 graph breaks (5 unique)
2025-11-03T17:56:56.4202660Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:56:56.4203981Z   import pynvml  # type: ignore[import]
2025-11-03T17:56:59.0571605Z 
2025-11-03T17:56:59.9586196Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:56:59.9586538Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:56:59.9586858Z cuda train phlippe_resnet                     
2025-11-03T17:57:13.5464042Z Compilation time (from dynamo_timed): 11.968947312
2025-11-03T17:57:13.5471328Z pass
2025-11-03T17:57:13.5474403Z TIMING: gc:0.00348 entire_frame_compile:8.88371 _recursive_pre_grad_passes:0.00633 pad_mm_benchmark:0.00168 _recursive_joint_graph_passes:0.40034 _recursive_post_grad_passes:0.14617 async_compile.wait:0.90192 code_gen:3.70014 inductor_compile:5.68667 backend_compile:6.36012 cudagraphify.get_container:0.0022 CachingAutotuner.benchmark_all_configs:0.65723 entire_backward_compile:3.08524 CUDAGraphNode.record:0.01547 total_wall_time:11.96895
2025-11-03T17:57:13.5477854Z STATS: call_* op count: 75 | FakeTensorMode.__torch_dispatch__:6204 | FakeTensor.__torch_dispatch__:5356 | ProxyTorchDispatchMode.__torch_dispatch__:2561
2025-11-03T17:57:13.5479112Z Dynamo produced 2 graphs covering 75 ops with 6 graph breaks (5 unique)
2025-11-03T17:57:16.3226062Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:57:16.3227382Z   import pynvml  # type: ignore[import]
2025-11-03T17:57:18.9474316Z 
2025-11-03T17:57:20.3321492Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:57:20.3321883Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:57:20.3322208Z cuda train pytorch_CycleGAN_and_pix2pix       
2025-11-03T17:57:48.4099102Z Compilation time (from dynamo_timed): 22.144534954
2025-11-03T17:57:48.4103634Z pass
2025-11-03T17:57:48.4194526Z TIMING: gc:0.0038 entire_frame_compile:12.34218 _recursive_pre_grad_passes:0.0058 _recursive_joint_graph_passes:0.43916 _recursive_post_grad_passes:0.28317 async_compile.wait:1.88107 code_gen:9.43697 inductor_compile:13.59178 backend_compile:10.01422 cudagraphify.get_container:0.00629 CachingAutotuner.benchmark_all_configs:0.83319 entire_backward_compile:9.80235 CUDAGraphNode.record:0.01607 total_wall_time:22.14453
2025-11-03T17:57:48.4196959Z STATS: call_* op count: 95 | FakeTensorMode.__torch_dispatch__:11320 | FakeTensor.__torch_dispatch__:10750 | ProxyTorchDispatchMode.__torch_dispatch__:5193
2025-11-03T17:57:48.4197892Z Dynamo produced 2 graphs covering 95 ops with 6 graph breaks (5 unique)
2025-11-03T17:57:51.5567420Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:57:51.5568744Z   import pynvml  # type: ignore[import]
2025-11-03T17:57:54.1797135Z 
2025-11-03T17:57:55.8402146Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:57:55.8402518Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:57:55.8402855Z cuda train pytorch_stargan                    
2025-11-03T17:58:26.4805909Z Compilation time (from dynamo_timed): 13.097600573
2025-11-03T17:58:26.4814497Z pass
2025-11-03T17:58:26.4896862Z TIMING: gc:0.0034 entire_frame_compile:9.94995 _recursive_pre_grad_passes:0.0059 _recursive_joint_graph_passes:0.61236 _recursive_post_grad_passes:0.14228 async_compile.wait:0.14083 code_gen:3.56546 inductor_compile:6.10543 backend_compile:7.55436 cudagraphify.get_container:0.00609 CachingAutotuner.benchmark_all_configs:0.502 entire_backward_compile:3.14765 CUDAGraphNode.record:0.01575 total_wall_time:13.0976
2025-11-03T17:58:26.4899284Z STATS: call_* op count: 60 | FakeTensorMode.__torch_dispatch__:8532 | FakeTensor.__torch_dispatch__:5737 | ProxyTorchDispatchMode.__torch_dispatch__:3014
2025-11-03T17:58:26.4900112Z Dynamo produced 2 graphs covering 60 ops with 6 graph breaks (5 unique)
2025-11-03T17:58:29.3438472Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:58:29.3439769Z   import pynvml  # type: ignore[import]
2025-11-03T17:58:31.9728855Z 
2025-11-03T17:58:33.1183444Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:58:33.1183784Z loading model: 0it [00:01, ?it/s]
2025-11-03T17:58:33.1184094Z cuda train pytorch_unet                       
2025-11-03T17:59:21.0558914Z W1103 17:59:21.054000 43180 site-packages/torch/_logging/_internal.py:1200] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-11-03T17:59:37.0857818Z Compilation time (from dynamo_timed): 40.171827877
2025-11-03T17:59:37.0865102Z pass_due_to_skip
2025-11-03T17:59:37.0952425Z TIMING: gc:0.00638 entire_frame_compile:28.05715 _recursive_pre_grad_passes:0.01763 _recursive_joint_graph_passes:0.32023 _recursive_post_grad_passes:0.24676 async_compile.wait:4.01361 code_gen:18.87745 inductor_compile:25.44707 backend_compile:21.61887 cudagraphify.get_container:0.0067 CachingAutotuner.benchmark_all_configs:3.14766 entire_backward_compile:12.11468 CUDAGraphNode.record:0.04023 total_wall_time:40.17183
2025-11-03T17:59:37.0954556Z STATS: call_* op count: 464 | FakeTensorMode.__torch_dispatch__:13025 | FakeTensor.__torch_dispatch__:14972 | ProxyTorchDispatchMode.__torch_dispatch__:4956
2025-11-03T17:59:37.0955402Z Dynamo produced 3 graphs covering 464 ops with 7 graph breaks (5 unique)
2025-11-03T17:59:40.7338387Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T17:59:40.7339982Z   import pynvml  # type: ignore[import]
2025-11-03T17:59:43.3614455Z 
2025-11-03T17:59:45.9577743Z loading model: 0it [00:00, ?it/s]
2025-11-03T17:59:45.9578186Z loading model: 0it [00:02, ?it/s]
2025-11-03T17:59:45.9578521Z cuda train resnet152                          
2025-11-03T18:01:08.5174553Z W1103 18:01:08.516000 45074 site-packages/torch/_logging/_internal.py:1200] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-11-03T18:03:00.0272139Z Compilation time (from dynamo_timed): 181.93172310100002
2025-11-03T18:03:00.0322009Z pass
2025-11-03T18:03:00.0717855Z TIMING: gc:0.00838 entire_frame_compile:155.10686 _recursive_pre_grad_passes:0.07444 pad_mm_benchmark:0.0017 _recursive_joint_graph_passes:1.04578 _recursive_post_grad_passes:1.33053 async_compile.wait:6.22557 code_gen:54.754 inductor_compile:98.65514 backend_compile:115.29798 cudagraphify.get_container:0.02512 CachingAutotuner.benchmark_all_configs:1.09064 entire_backward_compile:26.82486 CUDAGraphNode.record:0.95804 total_wall_time:181.93172
2025-11-03T18:03:00.0720433Z STATS: call_* op count: 2873 | FakeTensorMode.__torch_dispatch__:68623 | FakeTensor.__torch_dispatch__:89009 | ProxyTorchDispatchMode.__torch_dispatch__:30766
2025-11-03T18:03:00.0721275Z Dynamo produced 3 graphs covering 2873 ops with 7 graph breaks (5 unique)
2025-11-03T18:03:08.3538169Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T18:03:08.3540878Z   import pynvml  # type: ignore[import]
2025-11-03T18:03:10.9786000Z 
2025-11-03T18:03:12.4907250Z loading model: 0it [00:00, ?it/s]
2025-11-03T18:03:12.4907603Z loading model: 0it [00:01, ?it/s]
2025-11-03T18:03:12.4907928Z cuda train resnet18                           
2025-11-03T18:03:32.3208589Z Compilation time (from dynamo_timed): 16.870886777000003
2025-11-03T18:03:32.3214631Z pass
2025-11-03T18:03:32.3290578Z TIMING: gc:0.00362 entire_frame_compile:9.15365 _recursive_pre_grad_passes:0.00622 pad_mm_benchmark:0.00203 _recursive_joint_graph_passes:0.40744 _recursive_post_grad_passes:0.14754 async_compile.wait:1.28707 code_gen:7.95736 inductor_compile:10.46536 backend_compile:6.69845 cudagraphify.get_container:0.00247 CachingAutotuner.benchmark_all_configs:0.86117 entire_backward_compile:7.71724 CUDAGraphNode.record:0.01558 total_wall_time:16.87089
2025-11-03T18:03:32.3293082Z STATS: call_* op count: 73 | FakeTensorMode.__torch_dispatch__:6637 | FakeTensor.__torch_dispatch__:5435 | ProxyTorchDispatchMode.__torch_dispatch__:2678
2025-11-03T18:03:32.3293913Z Dynamo produced 2 graphs covering 73 ops with 6 graph breaks (5 unique)
2025-11-03T18:03:35.3546543Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T18:03:35.3547845Z   import pynvml  # type: ignore[import]
2025-11-03T18:03:37.9660421Z 
2025-11-03T18:03:40.0396879Z loading model: 0it [00:00, ?it/s]
2025-11-03T18:03:40.0397513Z loading model: 0it [00:02, ?it/s]
2025-11-03T18:03:40.0398101Z cuda train resnet50                           
2025-11-03T18:04:15.4325840Z Compilation time (from dynamo_timed): 30.522474752999997
2025-11-03T18:04:15.4348387Z pass
2025-11-03T18:04:15.4510543Z TIMING: gc:0.00598 entire_frame_compile:18.87548 _recursive_pre_grad_passes:0.0087 pad_mm_benchmark:0.00166 _recursive_joint_graph_passes:0.33512 _recursive_post_grad_passes:0.35198 async_compile.wait:0.11845 code_gen:10.11338 inductor_compile:16.30899 backend_compile:12.75619 cudagraphify.get_container:0.00447 entire_backward_compile:11.647 CUDAGraphNode.record:0.05575 total_wall_time:30.52247
2025-11-03T18:04:15.4512928Z STATS: call_* op count: 179 | FakeTensorMode.__torch_dispatch__:16242 | FakeTensor.__torch_dispatch__:14129 | ProxyTorchDispatchMode.__torch_dispatch__:7005
2025-11-03T18:04:15.4513772Z Dynamo produced 2 graphs covering 179 ops with 6 graph breaks (5 unique)
2025-11-03T18:04:19.0005930Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T18:04:19.0007243Z   import pynvml  # type: ignore[import]
2025-11-03T18:04:21.6310540Z 
2025-11-03T18:04:23.8256715Z loading model: 0it [00:00, ?it/s]
2025-11-03T18:04:23.8257155Z loading model: 0it [00:02, ?it/s]
2025-11-03T18:04:23.8257585Z cuda train resnet50_quantized_qat             
2025-11-03T18:04:23.8258428Z Traceback (most recent call last):
2025-11-03T18:04:23.8258970Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1998, in validate_model
2025-11-03T18:04:23.8259538Z     self.model_iter_fn(model, example_inputs)
2025-11-03T18:04:23.8260171Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in forward_and_backward_pass
2025-11-03T18:04:23.8260789Z     pred = mod(*cloned_inputs)
2025-11-03T18:04:23.8261355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 847, in call_wrapped
2025-11-03T18:04:23.8261985Z     return self._wrapped_call(self, *args, **kwargs)
2025-11-03T18:04:23.8262582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 415, in __call__
2025-11-03T18:04:23.8263413Z     raise e
2025-11-03T18:04:23.8263877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 402, in __call__
2025-11-03T18:04:23.8264562Z     return super(self.cls, obj).__call__(*args, **kwargs)  # type: ignore[misc]
2025-11-03T18:04:23.8265318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1783, in _wrapped_call_impl
2025-11-03T18:04:23.8265973Z     return self._call_impl(*args, **kwargs)
2025-11-03T18:04:23.8266559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1794, in _call_impl
2025-11-03T18:04:23.8267155Z     return forward_call(*args, **kwargs)
2025-11-03T18:04:23.8267474Z   File "<eval_with_key>.3", line 167, in forward
2025-11-03T18:04:23.8267925Z     activation_post_process_73 = self.activation_post_process_73(fc);  fc = None
2025-11-03T18:04:23.8268686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1783, in _wrapped_call_impl
2025-11-03T18:04:23.8269333Z     return self._call_impl(*args, **kwargs)
2025-11-03T18:04:23.8269919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1794, in _call_impl
2025-11-03T18:04:23.8270514Z     return forward_call(*args, **kwargs)
2025-11-03T18:04:23.8271143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fake_quantize.py", line 424, in forward
2025-11-03T18:04:23.8271800Z     return torch.fused_moving_avg_obs_fake_quant(
2025-11-03T18:04:23.8272188Z RuntimeError: expected scalar type Half but found Float
2025-11-03T18:04:23.8272457Z 
2025-11-03T18:04:23.8272660Z The above exception was the direct cause of the following exception:
2025-11-03T18:04:23.8272971Z 
2025-11-03T18:04:23.8273076Z Traceback (most recent call last):
2025-11-03T18:04:23.8273523Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4245, in run
2025-11-03T18:04:23.8273995Z     ) = runner.load_model(
2025-11-03T18:04:23.8274477Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 379, in load_model
2025-11-03T18:04:23.8275026Z     self.validate_model(model, example_inputs)
2025-11-03T18:04:23.8275562Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2000, in validate_model
2025-11-03T18:04:23.8276257Z     raise RuntimeError("Eager run failed") from e
2025-11-03T18:04:23.8276589Z RuntimeError: Eager run failed
2025-11-03T18:04:23.8276767Z 
2025-11-03T18:04:23.8276850Z eager_fail_to_run
2025-11-03T18:04:25.5772499Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T18:04:25.5775074Z   import pynvml  # type: ignore[import]
2025-11-03T18:04:28.2097432Z 
2025-11-03T18:04:30.6927413Z loading model: 0it [00:00, ?it/s]
2025-11-03T18:04:30.6927780Z loading model: 0it [00:02, ?it/s]
2025-11-03T18:04:30.6928084Z cuda train resnext50_32x4d                    
2025-11-03T18:05:08.0247741Z W1103 18:05:08.023000 47587 site-packages/torch/_logging/_internal.py:1200] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-11-03T18:05:41.6748186Z Compilation time (from dynamo_timed): 63.985783182
2025-11-03T18:05:41.6768086Z pass
2025-11-03T18:05:41.6889636Z TIMING: gc:0.00702 entire_frame_compile:52.63956 _recursive_pre_grad_passes:0.0305 pad_mm_benchmark:0.00169 _recursive_joint_graph_passes:0.47336 _recursive_post_grad_passes:0.45415 async_compile.wait:4.13096 code_gen:21.19476 inductor_compile:34.26388 backend_compile:39.1407 cudagraphify.get_container:0.00752 CachingAutotuner.benchmark_all_configs:1.03094 entire_backward_compile:11.34622 CUDAGraphNode.record:0.13425 total_wall_time:63.98578
2025-11-03T18:05:41.6891943Z STATS: call_* op count: 1003 | FakeTensorMode.__torch_dispatch__:24084 | FakeTensor.__torch_dispatch__:30653 | ProxyTorchDispatchMode.__torch_dispatch__:10570
2025-11-03T18:05:41.6893286Z Dynamo produced 3 graphs covering 1003 ops with 7 graph breaks (5 unique)
2025-11-03T18:05:46.4408832Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T18:05:46.4410131Z   import pynvml  # type: ignore[import]
2025-11-03T18:05:49.0651828Z 
2025-11-03T18:05:56.5809359Z loading model: 0it [00:00, ?it/s]
2025-11-03T18:05:56.5809995Z loading model: 0it [00:07, ?it/s]
2025-11-03T18:05:56.5810584Z cuda train sam                                
2025-11-03T18:05:56.5819669Z Traceback (most recent call last):
2025-11-03T18:05:56.5820221Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1998, in validate_model
2025-11-03T18:05:56.5820773Z     self.model_iter_fn(model, example_inputs)
2025-11-03T18:05:56.5821479Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 471, in forward_and_backward_pass
2025-11-03T18:05:56.5822154Z     self.grad_scaler.scale(loss).backward()
2025-11-03T18:05:56.5822703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward
2025-11-03T18:05:56.5823226Z     torch.autograd.backward(
2025-11-03T18:05:56.5823768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward
2025-11-03T18:05:56.5824338Z     _engine_run_backward(
2025-11-03T18:05:56.5824909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward
2025-11-03T18:05:56.5825743Z     return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2025-11-03T18:05:56.5826419Z RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn
2025-11-03T18:05:56.5826792Z 
2025-11-03T18:05:56.5826995Z The above exception was the direct cause of the following exception:
2025-11-03T18:05:56.5827307Z 
2025-11-03T18:05:56.5827411Z Traceback (most recent call last):
2025-11-03T18:05:56.5827866Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4245, in run
2025-11-03T18:05:56.5828718Z     ) = runner.load_model(
2025-11-03T18:05:56.5829190Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 379, in load_model
2025-11-03T18:05:56.5829737Z     self.validate_model(model, example_inputs)
2025-11-03T18:05:56.5830274Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2000, in validate_model
2025-11-03T18:05:56.5830835Z     raise RuntimeError("Eager run failed") from e
2025-11-03T18:05:56.5831377Z RuntimeError: Eager run failed
2025-11-03T18:05:56.5831574Z 
2025-11-03T18:05:56.5831663Z eager_fail_to_run
2025-11-03T18:05:58.3317497Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T18:05:58.3319963Z   import pynvml  # type: ignore[import]
2025-11-03T18:06:00.9571178Z 
2025-11-03T18:06:02.4429661Z loading model: 0it [00:00, ?it/s]
2025-11-03T18:06:02.4430052Z loading model: 0it [00:01, ?it/s]
2025-11-03T18:06:02.4430363Z cuda train shufflenet_v2_x1_0                 
2025-11-03T18:06:50.4447009Z Compilation time (from dynamo_timed): 43.71256976
2025-11-03T18:06:50.4469570Z pass
2025-11-03T18:06:50.4485194Z TIMING: gc:0.00408 entire_frame_compile:23.71547 _recursive_pre_grad_passes:0.01033 pad_mm_benchmark:0.00168 _recursive_joint_graph_passes:0.4161 _recursive_post_grad_passes:0.43363 async_compile.wait:2.16263 code_gen:20.44089 inductor_compile:28.19055 backend_compile:17.08069 cudagraphify.get_container:0.00224 CachingAutotuner.benchmark_all_configs:2.07159 entire_backward_compile:19.9971 CUDAGraphNode.record:0.06701 total_wall_time:43.71257
2025-11-03T18:06:50.4487886Z STATS: call_* op count: 275 | FakeTensorMode.__torch_dispatch__:18523 | FakeTensor.__torch_dispatch__:16930 | ProxyTorchDispatchMode.__torch_dispatch__:7367
2025-11-03T18:06:50.4488735Z Dynamo produced 2 graphs covering 275 ops with 6 graph breaks (5 unique)
2025-11-03T18:06:54.4531956Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T18:06:54.4533383Z   import pynvml  # type: ignore[import]
2025-11-03T18:06:57.0958450Z 
2025-11-03T18:06:58.1169530Z loading model: 0it [00:00, ?it/s]
2025-11-03T18:06:58.1169894Z loading model: 0it [00:01, ?it/s]
2025-11-03T18:06:58.1170202Z cuda train soft_actor_critic                  
2025-11-03T18:07:03.8786627Z W1103 18:07:03.877000 51144 site-packages/torch/_logging/_internal.py:1200] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-11-03T18:07:05.8380278Z Compilation time (from dynamo_timed): 6.6790017839999996
2025-11-03T18:07:05.8380663Z pass
2025-11-03T18:07:05.8385621Z TIMING: gc:0.00381 entire_frame_compile:5.63974 _recursive_pre_grad_passes:0.0083 pad_mm_benchmark:0.0043 _recursive_joint_graph_passes:0.49836 _recursive_post_grad_passes:0.06029 async_compile.precompile:1.26724 async_compile.wait:0.79401 code_gen:2.66981 inductor_compile:3.20957 backend_compile:4.65791 cudagraphify.get_container:0.00454 CachingAutotuner.benchmark_all_configs:0.28374 entire_backward_compile:1.03926 CUDAGraphNode.record:0.00684 total_wall_time:6.679
2025-11-03T18:07:05.8387909Z STATS: call_* op count: 70 | FakeTensorMode.__torch_dispatch__:1670 | FakeTensor.__torch_dispatch__:1130 | ProxyTorchDispatchMode.__torch_dispatch__:467
2025-11-03T18:07:05.8388719Z Dynamo produced 4 graphs covering 70 ops with 6 graph breaks (5 unique)
2025-11-03T18:07:08.5442769Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T18:07:08.5444762Z   import pynvml  # type: ignore[import]
2025-11-03T18:07:11.1681151Z 
2025-11-03T18:07:12.5898373Z loading model: 0it [00:00, ?it/s]
2025-11-03T18:07:12.5898717Z loading model: 0it [00:01, ?it/s]
2025-11-03T18:07:12.5899026Z cuda train speech_transformer                 
2025-11-03T18:07:15.5312106Z W1103 18:07:15.530000 51535 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0] Graph break from `Tensor.item()`, consider setting:
2025-11-03T18:07:15.5313223Z W1103 18:07:15.530000 51535 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-11-03T18:07:15.5314069Z W1103 18:07:15.530000 51535 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0] or:
2025-11-03T18:07:15.5314853Z W1103 18:07:15.530000 51535 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-11-03T18:07:15.5315824Z W1103 18:07:15.530000 51535 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0] to include these operations in the captured graph.
2025-11-03T18:07:15.5316617Z W1103 18:07:15.530000 51535 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0] 
2025-11-03T18:07:15.5317349Z W1103 18:07:15.530000 51535 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0] Graph break: from user code at:
2025-11-03T18:07:15.5318644Z W1103 18:07:15.530000 51535 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in torch_dynamo_resume_in_forward_and_backward_pass_at_464
2025-11-03T18:07:15.5320038Z W1103 18:07:15.530000 51535 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0]     pred = mod(*cloned_inputs)
2025-11-03T18:07:15.5321751Z W1103 18:07:15.530000 51535 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0]   File "/torchbench/torchbenchmark/models/speech_transformer/speech_transformer/transformer/transformer.py", line 27, in forward
2025-11-03T18:07:15.5323149Z W1103 18:07:15.530000 51535 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0]     encoder_padded_outputs, *_ = self.encoder(padded_input, input_lengths)
2025-11-03T18:07:15.5324526Z W1103 18:07:15.530000 51535 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0]   File "/torchbench/torchbenchmark/models/speech_transformer/speech_transformer/transformer/encoder.py", line 61, in forward
2025-11-03T18:07:15.5325894Z W1103 18:07:15.530000 51535 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0]     non_pad_mask = get_non_pad_mask(padded_input, input_lengths=input_lengths)
2025-11-03T18:07:15.5327274Z W1103 18:07:15.530000 51535 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0]   File "/torchbench/torchbenchmark/models/speech_transformer/speech_transformer/utils/utils.py", line 108, in get_non_pad_mask
2025-11-03T18:07:15.5328601Z W1103 18:07:15.530000 51535 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0]     non_pad_mask[i, input_lengths[i] :] = 0
2025-11-03T18:07:15.5329366Z W1103 18:07:15.530000 51535 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0] 
2025-11-03T18:07:15.5329967Z W1103 18:07:15.530000 51535 site-packages/torch/_dynamo/variables/tensor.py:1060] [2/0] 
2025-11-03T18:07:27.5590472Z W1103 18:07:27.558000 51535 site-packages/torch/_inductor/utils.py:2437] [9/0_1] DeviceCopy in input program
2025-11-03T18:07:28.9525036Z cudagraph partition due to non gpu ops
2025-11-03T18:07:28.9525759Z cudagraph partition due to non gpu ops
2025-11-03T18:07:28.9526068Z cudagraph partition due to non gpu ops
2025-11-03T18:07:28.9526383Z cudagraph partition due to non gpu ops
2025-11-03T18:07:28.9526705Z cudagraph partition due to non gpu ops
2025-11-03T18:07:28.9527039Z cudagraph partition due to non gpu ops
2025-11-03T18:07:28.9527345Z cudagraph partition due to non gpu ops
2025-11-03T18:07:28.9527665Z cudagraph partition due to DeviceCopy ops
2025-11-03T18:07:29.0714424Z cudagraph partition into 2 partitions
2025-11-03T18:07:50.9697165Z W1103 18:07:50.968000 51535 site-packages/torch/_inductor/utils.py:2437] [15/0_1] DeviceCopy in input program
2025-11-03T18:07:53.5241523Z cudagraph partition due to non gpu ops
2025-11-03T18:07:53.5244457Z cudagraph partition due to non gpu ops
2025-11-03T18:07:53.5245034Z cudagraph partition due to non gpu ops
2025-11-03T18:07:53.5245563Z cudagraph partition due to non gpu ops
2025-11-03T18:07:53.5246081Z cudagraph partition due to non gpu ops
2025-11-03T18:07:53.5246587Z cudagraph partition due to non gpu ops
2025-11-03T18:07:53.5247107Z cudagraph partition due to non gpu ops
2025-11-03T18:07:53.5247620Z cudagraph partition due to non gpu ops
2025-11-03T18:07:53.5248135Z cudagraph partition due to non gpu ops
2025-11-03T18:07:53.5248675Z cudagraph partition due to non gpu ops
2025-11-03T18:07:53.5249193Z cudagraph partition due to non gpu ops
2025-11-03T18:07:53.5249716Z cudagraph partition due to non gpu ops
2025-11-03T18:07:53.5250250Z cudagraph partition due to non gpu ops
2025-11-03T18:07:53.5250787Z cudagraph partition due to DeviceCopy ops
2025-11-03T18:07:53.7158345Z cudagraph partition into 2 partitions
2025-11-03T18:07:58.0260671Z W1103 18:07:58.025000 51535 site-packages/torch/_inductor/utils.py:2437] [15/0_1] DeviceCopy in input program
2025-11-03T18:08:02.0219075Z cudagraph partition due to non gpu ops
2025-11-03T18:08:02.0220000Z cudagraph partition due to non gpu ops
2025-11-03T18:08:02.0220730Z cudagraph partition due to non gpu ops
2025-11-03T18:08:02.0221332Z cudagraph partition due to non gpu ops
2025-11-03T18:08:02.0221932Z cudagraph partition due to non gpu ops
2025-11-03T18:08:02.0222524Z cudagraph partition due to non gpu ops
2025-11-03T18:08:02.0223117Z cudagraph partition due to non gpu ops
2025-11-03T18:08:02.0224180Z cudagraph partition due to non gpu ops
2025-11-03T18:08:02.0224780Z cudagraph partition due to non gpu ops
2025-11-03T18:08:02.0225247Z cudagraph partition due to non gpu ops
2025-11-03T18:08:02.0225602Z cudagraph partition due to non gpu ops
2025-11-03T18:08:02.0225913Z cudagraph partition due to non gpu ops
2025-11-03T18:08:02.0226217Z cudagraph partition due to non gpu ops
2025-11-03T18:08:02.0226522Z cudagraph partition due to DeviceCopy ops
2025-11-03T18:08:02.3509110Z cudagraph partition into 2 partitions
2025-11-03T18:08:05.6754194Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from   File "/torchbench/torchbenchmark/models/speech_transformer/speech_transformer/transformer/decoder.py", line 126, in torch_dynamo_resume_in_forward_at_120
2025-11-03T18:08:05.6756783Z     self.tgt_word_emb(ys_in_pad) * self.x_logit_scale
2025-11-03T18:08:05.6757289Z 
2025-11-03T18:08:05.6757299Z 
2025-11-03T18:13:06.6657195Z Run failed with return code:  -11
2025-11-03T18:13:06.6659394Z Output:  None
2025-11-03T18:13:06.6659661Z Error:  None
2025-11-03T18:13:07.2524659Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T18:13:07.2526027Z   import pynvml  # type: ignore[import]
2025-11-03T18:13:09.8635202Z 
2025-11-03T18:13:11.3165827Z loading model: 0it [00:00, ?it/s]
2025-11-03T18:13:11.3166186Z loading model: 0it [00:01, ?it/s]
2025-11-03T18:13:11.3166489Z cuda train squeezenet1_1                      
2025-11-03T18:13:35.0568064Z Compilation time (from dynamo_timed): 20.971646306
2025-11-03T18:13:35.0571875Z pass
2025-11-03T18:13:35.0588772Z TIMING: gc:0.00358 entire_frame_compile:8.23351 _recursive_pre_grad_passes:0.00534 _recursive_joint_graph_passes:0.20934 _recursive_post_grad_passes:0.25053 async_compile.wait:1.82663 code_gen:14.51824 inductor_compile:16.25445 backend_compile:6.40206 cudagraphify.get_container:0.00223 CachingAutotuner.benchmark_all_configs:1.06861 entire_backward_compile:12.73813 CUDAGraphNode.record:0.01294 total_wall_time:20.97165
2025-11-03T18:13:35.0591551Z STATS: call_* op count: 70 | FakeTensorMode.__torch_dispatch__:4314 | FakeTensor.__torch_dispatch__:2297 | ProxyTorchDispatchMode.__torch_dispatch__:1191
2025-11-03T18:13:35.0592430Z Dynamo produced 2 graphs covering 70 ops with 6 graph breaks (5 unique)
2025-11-03T18:13:38.1630980Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T18:13:38.1632722Z   import pynvml  # type: ignore[import]
2025-11-03T18:13:40.7701665Z 
2025-11-03T18:13:42.9150255Z loading model: 0it [00:00, ?it/s]
2025-11-03T18:13:42.9150516Z 
2025-11-03T18:13:43.6135288Z Loading pipeline components...:   0% 0/6 [00:00<?, ?it/s]
2025-11-03T18:13:43.6135601Z 
2025-11-03T18:13:43.7602985Z Loading pipeline components...:  33% 2/6 [00:00<00:01,  2.87it/s]
2025-11-03T18:13:43.7603312Z 
2025-11-03T18:13:43.8123452Z Loading pipeline components...:  50% 3/6 [00:00<00:00,  3.77it/s]
2025-11-03T18:13:43.8123963Z Loading pipeline components...: 100% 6/6 [00:00<00:00,  6.69it/s]
2025-11-03T18:13:45.5880821Z 
2025-11-03T18:13:45.5881188Z loading model: 0it [00:04, ?it/s]
2025-11-03T18:13:45.5881570Z cuda train stable_diffusion_text_encoder      
2025-11-03T18:13:45.6301546Z WARNING:common:fp64 golden ref were not generated for stable_diffusion_text_encoder. Setting accuracy check to cosine
2025-11-03T18:14:31.9469662Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in torch_dynamo_resume_in_forward_and_backward_pass_at_464
2025-11-03T18:14:31.9471537Z     pred = mod(*cloned_inputs)
2025-11-03T18:14:31.9472121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T18:14:31.9472800Z     output = func(self, *args, **kwargs)
2025-11-03T18:14:31.9473537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py", line 716, in forward
2025-11-03T18:14:31.9474267Z     return self.text_model(
2025-11-03T18:14:31.9474922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py", line 644, in forward
2025-11-03T18:14:31.9475631Z     pooled_output = last_hidden_state[
2025-11-03T18:14:31.9475887Z 
2025-11-03T18:14:31.9475894Z 
2025-11-03T18:14:32.8775548Z Compilation time (from dynamo_timed): 45.015144247
2025-11-03T18:14:32.8797891Z pass
2025-11-03T18:14:32.9539727Z TIMING: gc:0.00332 entire_frame_compile:32.78797 _recursive_pre_grad_passes:0.01225 pad_mm_benchmark:0.21481 _recursive_joint_graph_passes:2.3696 _recursive_post_grad_passes:1.3367 async_compile.wait:0.07771 code_gen:11.46544 inductor_compile:21.02547 backend_compile:23.74579 cudagraphify.get_container:0.22523 CachingAutotuner.benchmark_all_configs:0.23455 entire_backward_compile:12.22717 CUDAGraphNode.record:0.06456 total_wall_time:45.01514
2025-11-03T18:14:32.9542036Z STATS: call_* op count: 552 | FakeTensorMode.__torch_dispatch__:44711 | FakeTensor.__torch_dispatch__:26051 | ProxyTorchDispatchMode.__torch_dispatch__:14286
2025-11-03T18:14:32.9542866Z Dynamo produced 2 graphs covering 552 ops with 5 graph breaks (5 unique)
2025-11-03T18:14:37.0418205Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T18:14:37.0420124Z   import pynvml  # type: ignore[import]
2025-11-03T18:14:39.6541149Z 
2025-11-03T18:14:41.7915236Z loading model: 0it [00:00, ?it/s]
2025-11-03T18:14:41.7915677Z 
2025-11-03T18:14:41.9682401Z Loading pipeline components...:   0% 0/6 [00:00<?, ?it/s]
2025-11-03T18:14:41.9682724Z 
2025-11-03T18:14:42.5212546Z Loading pipeline components...:  33% 2/6 [00:00<00:00, 11.33it/s]
2025-11-03T18:14:42.5212904Z 
2025-11-03T18:14:42.6937478Z Loading pipeline components...:  67% 4/6 [00:00<00:00,  5.03it/s]
2025-11-03T18:14:42.6937812Z 
2025-11-03T18:14:42.6938106Z Loading pipeline components...: 100% 6/6 [00:00<00:00,  6.78it/s]
2025-11-03T18:14:42.6938589Z Loading pipeline components...: 100% 6/6 [00:00<00:00,  6.65it/s]
2025-11-03T18:14:45.2703202Z 
2025-11-03T18:14:45.2704008Z loading model: 0it [00:05, ?it/s]
2025-11-03T18:14:45.2704459Z cuda train stable_diffusion_unet              
2025-11-03T18:14:45.2946830Z Compilation time (from dynamo_timed): 0
2025-11-03T18:14:45.2947165Z pass_due_to_skip
2025-11-03T18:14:45.6174574Z TIMING: total_wall_time:0
2025-11-03T18:14:45.6174868Z STATS: call_* op count: 0
2025-11-03T18:14:45.6175250Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-11-03T18:14:47.5246081Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T18:14:47.5247386Z   import pynvml  # type: ignore[import]
2025-11-03T18:14:50.1241572Z 
2025-11-03T18:14:52.2162323Z loading model: 0it [00:00, ?it/s]
2025-11-03T18:14:52.2162673Z loading model: 0it [00:02, ?it/s]
2025-11-03T18:14:52.2162987Z cuda train torch_multimodal_clip              
2025-11-03T18:15:49.8386862Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in torch_dynamo_resume_in_forward_and_backward_pass_at_464
2025-11-03T18:15:49.8388680Z     pred = mod(*cloned_inputs)
2025-11-03T18:15:49.8389371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchmultimodal/models/clip/model.py", line 72, in forward
2025-11-03T18:15:49.8390104Z     embeddings_b = self.encoder_b(features_b)
2025-11-03T18:15:49.8390837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchmultimodal/models/clip/text_encoder.py", line 132, in forward
2025-11-03T18:15:49.8391699Z     hidden_state[torch.arange(hidden_state.shape[0]), text.argmax(dim=-1)]
2025-11-03T18:15:49.8392089Z 
2025-11-03T18:15:49.8392094Z 
2025-11-03T18:15:50.5231700Z W1103 18:15:50.522000 54277 site-packages/torch/_logging/_internal.py:1200] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-11-03T18:16:47.4719926Z Compilation time (from dynamo_timed): 108.995689052
2025-11-03T18:16:47.4758432Z pass
2025-11-03T18:16:47.5665175Z TIMING: gc:0.00828 entire_frame_compile:91.00314 _recursive_pre_grad_passes:0.05197 pad_mm_benchmark:0.14454 _recursive_joint_graph_passes:2.05003 _recursive_post_grad_passes:1.99442 async_compile.wait:3.10817 code_gen:35.47804 inductor_compile:62.18393 backend_compile:71.50095 cudagraphify.get_container:0.03685 CachingAutotuner.benchmark_all_configs:0.70018 entire_backward_compile:17.99255 CUDAGraphNode.record:0.04079 total_wall_time:108.99569
2025-11-03T18:16:47.5667424Z STATS: call_* op count: 1922 | FakeTensorMode.__torch_dispatch__:59757 | FakeTensor.__torch_dispatch__:56634 | ProxyTorchDispatchMode.__torch_dispatch__:19586
2025-11-03T18:16:47.5668262Z Dynamo produced 3 graphs covering 1922 ops with 7 graph breaks (5 unique)
2025-11-03T18:16:53.9624837Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T18:16:53.9626157Z   import pynvml  # type: ignore[import]
2025-11-03T18:16:56.5715835Z 
2025-11-03T18:16:57.4828061Z loading model: 0it [00:00, ?it/s]
2025-11-03T18:16:57.4828405Z loading model: 0it [00:00, ?it/s]
2025-11-03T18:16:57.4828713Z cuda train tts_angular                        
2025-11-03T18:17:01.4073537Z W1103 18:17:01.406000 55407 site-packages/torch/_logging/_internal.py:1200] [10/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-11-03T18:17:05.8119383Z Compilation time (from dynamo_timed): 7.3161713310000005
2025-11-03T18:17:05.8120087Z pass
2025-11-03T18:17:05.8194583Z TIMING: gc:0.00666 entire_frame_compile:6.95175 _recursive_pre_grad_passes:0.00858 _recursive_joint_graph_passes:0.31558 inductor_compile:3.6101 backend_compile:5.70522 _recursive_post_grad_passes:0.03576 async_compile.precompile:1.99742 async_compile.wait:0.00049 code_gen:2.8025 entire_backward_compile:0.36443 CachingAutotuner.benchmark_all_configs:0.01518 total_wall_time:7.31617
2025-11-03T18:17:05.8196603Z STATS: call_* op count: 102 | FakeTensorMode.__torch_dispatch__:1315 | ProxyTorchDispatchMode.__torch_dispatch__:434 | FakeTensor.__torch_dispatch__:1671
2025-11-03T18:17:05.8197463Z Dynamo produced 5 graphs covering 102 ops with 9 graph breaks (6 unique)
2025-11-03T18:17:08.4525964Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T18:17:08.4527294Z   import pynvml  # type: ignore[import]
2025-11-03T18:17:11.0827463Z 
2025-11-03T18:17:14.2329090Z loading model: 0it [00:00, ?it/s]
2025-11-03T18:17:14.2329447Z loading model: 0it [00:03, ?it/s]
2025-11-03T18:17:14.2329758Z cuda train vgg16                              
2025-11-03T18:17:43.2693665Z Compilation time (from dynamo_timed): 12.645154971
2025-11-03T18:17:43.2695729Z pass
2025-11-03T18:17:43.2903899Z TIMING: gc:0.00284 entire_frame_compile:6.80939 _recursive_pre_grad_passes:0.00577 pad_mm_benchmark:0.57599 _recursive_joint_graph_passes:0.7902 _recursive_post_grad_passes:0.0805 async_compile.wait:0.71024 code_gen:6.99863 inductor_compile:8.13457 backend_compile:5.4895 cudagraphify.get_container:0.00887 CachingAutotuner.benchmark_all_configs:1.1652 entire_backward_compile:5.83577 CUDAGraphNode.record:0.00949 total_wall_time:12.64515
2025-11-03T18:17:43.2906063Z STATS: call_* op count: 44 | FakeTensorMode.__torch_dispatch__:3305 | FakeTensor.__torch_dispatch__:1382 | ProxyTorchDispatchMode.__torch_dispatch__:845
2025-11-03T18:17:43.2906877Z Dynamo produced 2 graphs covering 44 ops with 6 graph breaks (5 unique)
2025-11-03T18:17:46.1384529Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T18:17:46.1385864Z   import pynvml  # type: ignore[import]
2025-11-03T18:17:48.7591643Z 
2025-11-03T18:18:16.9043419Z loading model: 0it [00:00, ?it/s]skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T18:18:16.9044894Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T18:18:16.9045749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T18:18:16.9046405Z     v4 = masked_index(y_high, x_high)
2025-11-03T18:18:16.9046998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T18:18:16.9047709Z     return input[
2025-11-03T18:18:16.9047905Z 
2025-11-03T18:18:16.9047912Z 
2025-11-03T18:18:42.3246338Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T18:18:42.3248649Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T18:18:42.3249537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T18:18:42.3250194Z     v4 = masked_index(y_high, x_high)
2025-11-03T18:18:42.3250780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T18:18:42.3251359Z     return input[
2025-11-03T18:18:42.3251501Z 
2025-11-03T18:18:42.3251506Z 
2025-11-03T18:19:06.9555263Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T18:19:06.9556502Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T18:19:06.9557346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T18:19:06.9557998Z     v4 = masked_index(y_high, x_high)
2025-11-03T18:19:06.9558585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T18:19:06.9559154Z     return input[
2025-11-03T18:19:06.9559295Z 
2025-11-03T18:19:06.9559309Z 
2025-11-03T18:19:33.0765288Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T18:19:33.0766519Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T18:19:33.0767814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T18:19:33.0768462Z     v4 = masked_index(y_high, x_high)
2025-11-03T18:19:33.0769067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T18:19:33.0769639Z     return input[
2025-11-03T18:19:33.0769782Z 
2025-11-03T18:19:33.0769786Z 
2025-11-03T18:19:59.1972741Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T18:19:59.1974287Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T18:19:59.1975168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T18:19:59.1975844Z     v4 = masked_index(y_high, x_high)
2025-11-03T18:19:59.1976445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T18:19:59.1977017Z     return input[
2025-11-03T18:19:59.1977168Z 
2025-11-03T18:19:59.1977174Z 
2025-11-03T18:20:21.4496887Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T18:20:21.4498699Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T18:20:21.4499957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T18:20:21.4500740Z     v4 = masked_index(y_high, x_high)
2025-11-03T18:20:21.4501365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T18:20:21.4501933Z     return input[
2025-11-03T18:20:21.4502076Z 
2025-11-03T18:20:21.4502081Z 
2025-11-03T18:21:00.7836674Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T18:21:00.7838444Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T18:21:00.7839645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T18:21:00.7840598Z     v4 = masked_index(y_high, x_high)
2025-11-03T18:21:00.7841431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T18:21:00.7842289Z     return input[
2025-11-03T18:21:00.7842519Z 
2025-11-03T18:21:00.7842527Z 
2025-11-03T18:21:10.4333350Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T18:21:10.4334598Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T18:21:10.4335435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T18:21:10.4336089Z     v4 = masked_index(y_high, x_high)
2025-11-03T18:21:10.4336673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T18:21:10.4337246Z     return input[
2025-11-03T18:21:10.4337385Z 
2025-11-03T18:21:10.4337389Z 
2025-11-03T18:21:12.4682438Z 
2025-11-03T18:21:12.4683207Z loading model: 0it [03:23, ?it/s]
2025-11-03T18:21:12.4684137Z cuda train vision_maskrcnn                    
2025-11-03T18:21:13.3746914Z W1103 18:21:13.373000 56473 site-packages/torch/_dynamo/convert_frame.py:1548] [0/8] torch._dynamo hit config.recompile_limit (8)
2025-11-03T18:21:13.3748117Z W1103 18:21:13.373000 56473 site-packages/torch/_dynamo/convert_frame.py:1548] [0/8]    function: '_roi_align' (/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py:114)
2025-11-03T18:21:13.3749360Z W1103 18:21:13.373000 56473 site-packages/torch/_dynamo/convert_frame.py:1548] [0/8]    last reason: 0/7: tensor 'rois' dtype mismatch. expected Float, actual Double
2025-11-03T18:21:13.3750416Z W1103 18:21:13.373000 56473 site-packages/torch/_dynamo/convert_frame.py:1548] [0/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
2025-11-03T18:21:13.3751677Z W1103 18:21:13.373000 56473 site-packages/torch/_dynamo/convert_frame.py:1548] [0/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/compile/programming_model.recompilation.html
2025-11-03T18:21:48.2829594Z W1103 18:21:48.281000 56473 site-packages/torch/_inductor/utils.py:2437] [4/0_1] DeviceCopy in input program
2025-11-03T18:21:48.2842073Z W1103 18:21:48.283000 56473 site-packages/torch/_inductor/utils.py:2437] [4/0_1] DeviceCopy in input program
2025-11-03T18:21:48.2855328Z W1103 18:21:48.285000 56473 site-packages/torch/_inductor/utils.py:2437] [4/0_1] DeviceCopy in input program
2025-11-03T18:21:48.2877670Z W1103 18:21:48.287000 56473 site-packages/torch/_inductor/utils.py:2437] [4/0_1] DeviceCopy in input program
2025-11-03T18:21:48.2891366Z W1103 18:21:48.288000 56473 site-packages/torch/_inductor/utils.py:2437] [4/0_1] DeviceCopy in input program
2025-11-03T18:21:48.9845257Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-11-03T18:21:48.9848367Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-11-03T18:21:48.9849111Z     anchors = self.anchor_generator(images, features)
2025-11-03T18:21:48.9849825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward
2025-11-03T18:21:48.9850497Z     self.set_cell_anchors(dtype, device)
2025-11-03T18:21:48.9851592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-11-03T18:21:48.9852587Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T18:21:48.9853462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-11-03T18:21:48.9854323Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T18:21:48.9854742Z 
2025-11-03T18:21:48.9854912Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-11-03T18:21:48.9855596Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-11-03T18:21:48.9856262Z     anchors = self.anchor_generator(images, features)
2025-11-03T18:21:48.9856955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward
2025-11-03T18:21:48.9857620Z     self.set_cell_anchors(dtype, device)
2025-11-03T18:21:48.9858314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-11-03T18:21:48.9859209Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T18:21:48.9860079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-11-03T18:21:48.9860948Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T18:21:48.9861359Z 
2025-11-03T18:21:48.9861691Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-11-03T18:21:48.9862365Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-11-03T18:21:48.9863031Z     anchors = self.anchor_generator(images, features)
2025-11-03T18:21:48.9863728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward
2025-11-03T18:21:48.9864420Z     self.set_cell_anchors(dtype, device)
2025-11-03T18:21:48.9865132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-11-03T18:21:48.9866032Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T18:21:48.9866904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-11-03T18:21:48.9867776Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T18:21:48.9868196Z 
2025-11-03T18:21:48.9868372Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-11-03T18:21:48.9869047Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-11-03T18:21:48.9869705Z     anchors = self.anchor_generator(images, features)
2025-11-03T18:21:48.9870400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward
2025-11-03T18:21:48.9871064Z     self.set_cell_anchors(dtype, device)
2025-11-03T18:21:48.9871759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-11-03T18:21:48.9872652Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T18:21:48.9873525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-11-03T18:21:48.9874397Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T18:21:48.9874809Z 
2025-11-03T18:21:48.9875100Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-11-03T18:21:48.9875833Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-11-03T18:21:48.9876481Z     anchors = self.anchor_generator(images, features)
2025-11-03T18:21:48.9877176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward
2025-11-03T18:21:48.9877840Z     self.set_cell_anchors(dtype, device)
2025-11-03T18:21:48.9878543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-11-03T18:21:48.9879437Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T18:21:48.9880300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-11-03T18:21:48.9881179Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T18:21:48.9881596Z 
2025-11-03T18:21:49.0378357Z cudagraph partition into 2 partitions
2025-11-03T18:21:52.3377154Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0] Graph break from `Tensor.item()`, consider setting:
2025-11-03T18:21:52.3378211Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-11-03T18:21:52.3379043Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0] or:
2025-11-03T18:21:52.3379837Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-11-03T18:21:52.3381127Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0] to include these operations in the captured graph.
2025-11-03T18:21:52.3381928Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0] 
2025-11-03T18:21:52.3382670Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0] Graph break: from user code at:
2025-11-03T18:21:52.3384078Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/generalized_rcnn.py", line 118, in torch_dynamo_resume_in_forward_at_117
2025-11-03T18:21:52.3385732Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0]     detections, detector_losses = self.roi_heads(features, proposals, images.image_sizes, targets)
2025-11-03T18:21:52.3387210Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 763, in forward
2025-11-03T18:21:52.3388564Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0]     box_features = self.box_roi_pool(features, proposals, image_shapes)
2025-11-03T18:21:52.3389841Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 310, in forward
2025-11-03T18:21:52.3391038Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0]     self.scales, self.map_levels = _setup_scales(
2025-11-03T18:21:52.3392259Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in _setup_scales
2025-11-03T18:21:52.3393570Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0]     scales = [_infer_scale(feat, original_input_shape) for feat in features]
2025-11-03T18:21:52.3395022Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in <listcomp>
2025-11-03T18:21:52.3396316Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0]     scales = [_infer_scale(feat, original_input_shape) for feat in features]
2025-11-03T18:21:52.3397663Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 104, in _infer_scale
2025-11-03T18:21:52.3398925Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0]     scale = 2 ** float(torch.tensor(approx_scale).log2().round())
2025-11-03T18:21:52.3399756Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0] 
2025-11-03T18:21:52.3400360Z W1103 18:21:52.336000 56473 site-packages/torch/_dynamo/variables/tensor.py:1060] [17/0] 
2025-11-03T18:22:08.6109910Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255
2025-11-03T18:22:08.6111357Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-11-03T18:22:08.6112163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T18:22:08.6112936Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T18:22:08.6113750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T18:22:08.6114677Z     v4 = masked_index(y_high, x_high)
2025-11-03T18:22:08.6115266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T18:22:08.6115849Z     return input[
2025-11-03T18:22:08.6115987Z 
2025-11-03T18:22:08.6115992Z 
2025-11-03T18:22:18.7928117Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255
2025-11-03T18:22:18.7929783Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-11-03T18:22:18.7930780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T18:22:18.7931853Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T18:22:18.7932757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T18:22:18.7933403Z     v4 = masked_index(y_high, x_high)
2025-11-03T18:22:18.7933990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T18:22:18.7934563Z     return input[
2025-11-03T18:22:18.7934697Z 
2025-11-03T18:22:18.7934707Z 
2025-11-03T18:22:28.8762414Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255
2025-11-03T18:22:28.8764269Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-11-03T18:22:28.8765217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T18:22:28.8765992Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T18:22:28.8767155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T18:22:28.8767841Z     v4 = masked_index(y_high, x_high)
2025-11-03T18:22:28.8768506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T18:22:28.8769149Z     return input[
2025-11-03T18:22:28.8769284Z 
2025-11-03T18:22:28.8769289Z 
2025-11-03T18:23:13.3832511Z W1103 18:23:13.381000 56473 site-packages/torch/fx/experimental/symbolic_shapes.py:2443] [30/4] RecursionError in sympy.xreplace(Eq(Mod(2*s29, s93), 0), {s29: evaluate_static_shape_0 + 1, s93: evaluate_static_shape_1 + 1})
2025-11-03T18:23:14.9958258Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255
2025-11-03T18:23:14.9959669Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-11-03T18:23:14.9960488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T18:23:14.9961272Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T18:23:14.9962105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T18:23:14.9962754Z     v4 = masked_index(y_high, x_high)
2025-11-03T18:23:14.9963334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T18:23:14.9964242Z     return input[
2025-11-03T18:23:14.9964379Z 
2025-11-03T18:23:14.9964390Z 
2025-11-03T18:23:28.4055955Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255
2025-11-03T18:23:28.4057546Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-11-03T18:23:28.4059205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T18:23:28.4060110Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T18:23:28.4060943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T18:23:28.4061595Z     v4 = masked_index(y_high, x_high)
2025-11-03T18:23:28.4062193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T18:23:28.4062784Z     return input[
2025-11-03T18:23:28.4062930Z 
2025-11-03T18:23:28.4062935Z 
2025-11-03T18:23:56.1996066Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255
2025-11-03T18:23:56.1999367Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-11-03T18:23:56.2000440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T18:23:56.2001239Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T18:23:56.2002082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T18:23:56.2002758Z     v4 = masked_index(y_high, x_high)
2025-11-03T18:23:56.2003355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T18:23:56.2003953Z     return input[
2025-11-03T18:23:56.2004088Z 
2025-11-03T18:23:56.2004429Z 
2025-11-03T18:24:02.2109111Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255
2025-11-03T18:24:02.2110474Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-11-03T18:24:02.2111282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T18:24:02.2112059Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T18:24:02.2112907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T18:24:02.2113555Z     v4 = masked_index(y_high, x_high)
2025-11-03T18:24:02.2114146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T18:24:02.2114727Z     return input[
2025-11-03T18:24:02.2114864Z 
2025-11-03T18:24:02.2114869Z 
2025-11-03T18:24:11.1902235Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 418, in torch_dynamo_resume_in_paste_mask_in_image_at_410
2025-11-03T18:24:11.1903632Z     mask = F.interpolate(mask, size=(h, w), mode="bilinear", align_corners=False)
2025-11-03T18:24:11.1903967Z 
2025-11-03T18:24:11.1903971Z 
2025-11-03T18:24:12.5796774Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 418, in torch_dynamo_resume_in_paste_mask_in_image_at_410
2025-11-03T18:24:12.5798507Z     mask = F.interpolate(mask, size=(h, w), mode="bilinear", align_corners=False)
2025-11-03T18:24:12.5798844Z 
2025-11-03T18:24:12.5798849Z 
2025-11-03T18:24:13.7997080Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 823, in torch_dynamo_resume_in_forward_at_806
2025-11-03T18:24:13.7998353Z     masks_probs = maskrcnn_inference(mask_logits, labels)
2025-11-03T18:24:13.7999096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 79, in maskrcnn_inference
2025-11-03T18:24:13.7999816Z     mask_prob = mask_prob[index, labels][:, None]
2025-11-03T18:24:13.8000075Z 
2025-11-03T18:24:13.8000079Z 
2025-11-03T18:24:17.3664629Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255
2025-11-03T18:24:17.3666631Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-11-03T18:24:17.3667813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-11-03T18:24:17.3668948Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-11-03T18:24:17.3670137Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-11-03T18:24:17.3671063Z     v4 = masked_index(y_high, x_high)
2025-11-03T18:24:17.3671924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-11-03T18:24:17.3672792Z     return input[
2025-11-03T18:24:17.3672983Z 
2025-11-03T18:24:17.3672989Z 
2025-11-03T18:24:21.8454860Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/generalized_rcnn.py", line 114, in forward
2025-11-03T18:24:21.8456042Z     features = self.backbone(images.tensors)
2025-11-03T18:24:21.8456737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/backbone_utils.py", line 58, in forward
2025-11-03T18:24:21.8457393Z     x = self.fpn(x)
2025-11-03T18:24:21.8457968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/feature_pyramid_network.py", line 194, in forward
2025-11-03T18:24:21.8458741Z     inner_top_down = F.interpolate(last_inner, size=feat_shape, mode="nearest")
2025-11-03T18:24:21.8459086Z 
2025-11-03T18:24:21.8459091Z 
2025-11-03T18:24:23.2365462Z ERROR:common:
2025-11-03T18:24:23.2365882Z Traceback (most recent call last):
2025-11-03T18:24:23.2366590Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2328, in check_accuracy
2025-11-03T18:24:23.2367160Z     new_result = self.run_n_iterations(
2025-11-03T18:24:23.2367692Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2037, in run_n_iterations
2025-11-03T18:24:23.2368287Z     return model_iter_fn(mod, inputs, collect_outputs=True)
2025-11-03T18:24:23.2368954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 912, in compile_wrapper
2025-11-03T18:24:23.2369552Z     return fn(*args, **kwargs)
2025-11-03T18:24:23.2370111Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 463, in forward_and_backward_pass
2025-11-03T18:24:23.2370711Z     cloned_inputs = clone_inputs(inputs)
2025-11-03T18:24:23.2371731Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 464, in torch_dynamo_resume_in_forward_and_backward_pass_at_463
2025-11-03T18:24:23.2372511Z     self.optimizer_zero_grad(mod)
2025-11-03T18:24:23.2373199Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in torch_dynamo_resume_in_forward_and_backward_pass_at_464
2025-11-03T18:24:23.2373894Z     pred = mod(*cloned_inputs)
2025-11-03T18:24:23.2374477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1783, in _wrapped_call_impl
2025-11-03T18:24:23.2375124Z     return self._call_impl(*args, **kwargs)
2025-11-03T18:24:23.2375785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1794, in _call_impl
2025-11-03T18:24:23.2376374Z     return forward_call(*args, **kwargs)
2025-11-03T18:24:23.2377054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/generalized_rcnn.py", line 117, in forward
2025-11-03T18:24:23.2377839Z     proposals, proposal_losses = self.rpn(images, features, targets)
2025-11-03T18:24:23.2378560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1783, in _wrapped_call_impl
2025-11-03T18:24:23.2379186Z     return self._call_impl(*args, **kwargs)
2025-11-03T18:24:23.2379772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1794, in _call_impl
2025-11-03T18:24:23.2380358Z     return forward_call(*args, **kwargs)
2025-11-03T18:24:23.2380938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 2067, in __call__
2025-11-03T18:24:23.2381531Z     result = self._torchdynamo_orig_backend(
2025-11-03T18:24:23.2382120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1817, in __call__
2025-11-03T18:24:23.2382707Z     result = self._inner_convert(
2025-11-03T18:24:23.2383260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 703, in __call__
2025-11-03T18:24:23.2383834Z     result = _compile(
2025-11-03T18:24:23.2384345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1687, in _compile
2025-11-03T18:24:23.2385079Z     raise InternalTorchDynamoError(
2025-11-03T18:24:23.2385652Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1624, in _compile
2025-11-03T18:24:23.2386331Z     guarded_code, tracer_output = compile_inner(code, one_graph, hooks)
2025-11-03T18:24:23.2387012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_utils_internal.py", line 97, in wrapper_function
2025-11-03T18:24:23.2387588Z     return function(*args, **kwargs)
2025-11-03T18:24:23.2388177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1306, in compile_inner
2025-11-03T18:24:23.2388809Z     return _compile_inner(code, one_graph, hooks)
2025-11-03T18:24:23.2389441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1340, in _compile_inner
2025-11-03T18:24:23.2390046Z     dynamo_output = compile_frame(
2025-11-03T18:24:23.2390635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1221, in compile_frame
2025-11-03T18:24:23.2391331Z     bytecode, tracer_output = transform_code_object(code, transform)
2025-11-03T18:24:23.2392112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/bytecode_transformation.py", line 1600, in transform_code_object
2025-11-03T18:24:23.2392882Z     tracer_output = transformations(instructions, code_options)
2025-11-03T18:24:23.2393532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1193, in transform
2025-11-03T18:24:23.2394122Z     tracer_output = trace_frame(
2025-11-03T18:24:23.2394651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 325, in _fn
2025-11-03T18:24:23.2395295Z     return fn(*args, **kwargs)
2025-11-03T18:24:23.2395846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 833, in trace_frame
2025-11-03T18:24:23.2396413Z     run_tracer()
2025-11-03T18:24:23.2396925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 815, in run_tracer
2025-11-03T18:24:23.2397494Z     tracer.run()
2025-11-03T18:24:23.2397993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1634, in run
2025-11-03T18:24:23.2398550Z     while self.step():
2025-11-03T18:24:23.2399068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1314, in step
2025-11-03T18:24:23.2399676Z     self.dispatch_table[inst.opcode](self, inst)
2025-11-03T18:24:23.2400283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 853, in wrapper
2025-11-03T18:24:23.2400875Z     return inner_fn(self, inst)
2025-11-03T18:24:23.2401454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2483, in CALL_FUNCTION
2025-11-03T18:24:23.2402085Z     self.call_function(fn, args, {})
2025-11-03T18:24:23.2402693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1220, in call_function
2025-11-03T18:24:23.2403422Z     self.push(fn.call_function(self, args, kwargs))  # type: ignore[arg-type]
2025-11-03T18:24:23.2404160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/lazy.py", line 218, in realize_and_forward
2025-11-03T18:24:23.2404852Z     return getattr(self.realize(), name)(*args, **kwargs)
2025-11-03T18:24:23.2405581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/nn_module.py", line 1103, in call_function
2025-11-03T18:24:23.2406357Z     return variables.UserFunctionVariable(fn, source=source).call_function(
2025-11-03T18:24:23.2407121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 603, in call_function
2025-11-03T18:24:23.2407776Z     return super().call_function(tx, args, kwargs)
2025-11-03T18:24:23.2408514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 347, in call_function
2025-11-03T18:24:23.2409285Z     return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs)
2025-11-03T18:24:23.2410100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1242, in inline_user_function_return
2025-11-03T18:24:23.2410926Z     return InliningInstructionTranslator.inline_call(self, fn, args, kwargs)
2025-11-03T18:24:23.2411681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4664, in inline_call
2025-11-03T18:24:23.2412332Z     return tracer.inline_call_()
2025-11-03T18:24:23.2412910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4883, in inline_call_
2025-11-03T18:24:23.2413501Z     self.run()
2025-11-03T18:24:23.2413994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1634, in run
2025-11-03T18:24:23.2414552Z     while self.step():
2025-11-03T18:24:23.2415068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1314, in step
2025-11-03T18:24:23.2415689Z     self.dispatch_table[inst.opcode](self, inst)
2025-11-03T18:24:23.2416296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 853, in wrapper
2025-11-03T18:24:23.2416882Z     return inner_fn(self, inst)
2025-11-03T18:24:23.2417471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2483, in CALL_FUNCTION
2025-11-03T18:24:23.2418164Z     self.call_function(fn, args, {})
2025-11-03T18:24:23.2418763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1220, in call_function
2025-11-03T18:24:23.2419492Z     self.push(fn.call_function(self, args, kwargs))  # type: ignore[arg-type]
2025-11-03T18:24:23.2420252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 1156, in call_function
2025-11-03T18:24:23.2420917Z     return super().call_function(tx, args, kwargs)
2025-11-03T18:24:23.2421571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 603, in call_function
2025-11-03T18:24:23.2422225Z     return super().call_function(tx, args, kwargs)
2025-11-03T18:24:23.2422873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 347, in call_function
2025-11-03T18:24:23.2423642Z     return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs)
2025-11-03T18:24:23.2424466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1242, in inline_user_function_return
2025-11-03T18:24:23.2425287Z     return InliningInstructionTranslator.inline_call(self, fn, args, kwargs)
2025-11-03T18:24:23.2426055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4664, in inline_call
2025-11-03T18:24:23.2426671Z     return tracer.inline_call_()
2025-11-03T18:24:23.2427258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4883, in inline_call_
2025-11-03T18:24:23.2427857Z     self.run()
2025-11-03T18:24:23.2428337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1634, in run
2025-11-03T18:24:23.2428900Z     while self.step():
2025-11-03T18:24:23.2429419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1314, in step
2025-11-03T18:24:23.2430028Z     self.dispatch_table[inst.opcode](self, inst)
2025-11-03T18:24:23.2430622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 853, in wrapper
2025-11-03T18:24:23.2431512Z     return inner_fn(self, inst)
2025-11-03T18:24:23.2432104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2483, in CALL_FUNCTION
2025-11-03T18:24:23.2432717Z     self.call_function(fn, args, {})
2025-11-03T18:24:23.2433312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1220, in call_function
2025-11-03T18:24:23.2434030Z     self.push(fn.call_function(self, args, kwargs))  # type: ignore[arg-type]
2025-11-03T18:24:23.2434768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 347, in call_function
2025-11-03T18:24:23.2435585Z     return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs)
2025-11-03T18:24:23.2436396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1242, in inline_user_function_return
2025-11-03T18:24:23.2437218Z     return InliningInstructionTranslator.inline_call(self, fn, args, kwargs)
2025-11-03T18:24:23.2437966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4664, in inline_call
2025-11-03T18:24:23.2438568Z     return tracer.inline_call_()
2025-11-03T18:24:23.2439148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4883, in inline_call_
2025-11-03T18:24:23.2439742Z     self.run()
2025-11-03T18:24:23.2440230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1634, in run
2025-11-03T18:24:23.2440781Z     while self.step():
2025-11-03T18:24:23.2441297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1314, in step
2025-11-03T18:24:23.2442024Z     self.dispatch_table[inst.opcode](self, inst)
2025-11-03T18:24:23.2442642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2615, in LOAD_ATTR
2025-11-03T18:24:23.2443232Z     self._load_attr(inst.argval)
2025-11-03T18:24:23.2443804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2602, in _load_attr
2025-11-03T18:24:23.2444438Z     result = BuiltinVariable(getattr).call_function(
2025-11-03T18:24:23.2445087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builtin.py", line 1351, in call_function
2025-11-03T18:24:23.2445712Z     return handler(tx, args, kwargs)
2025-11-03T18:24:23.2446285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builtin.py", line 967, in <lambda>
2025-11-03T18:24:23.2446891Z     tx, [v.realize() for v in args], kwargs
2025-11-03T18:24:23.2447509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builtin.py", line 967, in <listcomp>
2025-11-03T18:24:23.2448122Z     tx, [v.realize() for v in args], kwargs
2025-11-03T18:24:23.2448696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/lazy.py", line 74, in realize
2025-11-03T18:24:23.2449267Z     self._cache.realize()
2025-11-03T18:24:23.2449791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/lazy.py", line 34, in realize
2025-11-03T18:24:23.2450447Z     self.vt = builder.VariableBuilder(tx, self.source)(self.value)
2025-11-03T18:24:23.2451128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 465, in __call__
2025-11-03T18:24:23.2451710Z     vt = self._wrap(value)
2025-11-03T18:24:23.2452298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 692, in _wrap
2025-11-03T18:24:23.2452894Z     return type_dispatch(self, value)
2025-11-03T18:24:23.2453498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 2194, in wrap_tensor
2025-11-03T18:24:23.2454146Z     example_value = wrap_to_fake_tensor_and_record(
2025-11-03T18:24:23.2454971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 3601, in wrap_to_fake_tensor_and_record
2025-11-03T18:24:23.2455666Z     fake_e = wrap_fake_exception(
2025-11-03T18:24:23.2456231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 2929, in wrap_fake_exception
2025-11-03T18:24:23.2456805Z     return fn()
2025-11-03T18:24:23.2457314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 3602, in <lambda>
2025-11-03T18:24:23.2457917Z     lambda: tx.fake_mode.from_tensor(
2025-11-03T18:24:23.2458506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 3057, in from_tensor
2025-11-03T18:24:23.2459153Z     return self.fake_tensor_converter.from_real_tensor(
2025-11-03T18:24:23.2459815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 416, in from_real_tensor
2025-11-03T18:24:23.2460431Z     out = self.meta_converter(
2025-11-03T18:24:23.2460977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/meta_utils.py", line 1924, in __call__
2025-11-03T18:24:23.2461615Z     t_desc = self.describer.describe_tensor(t, trace=trace)
2025-11-03T18:24:23.2462281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/meta_utils.py", line 311, in describe_tensor
2025-11-03T18:24:23.2462982Z     storage = self.describe_storage(t.untyped_storage(), trace=trace)
2025-11-03T18:24:23.2464333Z torch._dynamo.exc.InternalTorchDynamoError: RuntimeError: Error: accessing tensor output of CUDAGraphs that has been overwritten by a subsequent run. Stack trace: File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-11-03T18:24:23.2465721Z     anchors = self.anchor_generator(images, features)
2025-11-03T18:24:23.2466409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward
2025-11-03T18:24:23.2467068Z     self.set_cell_anchors(dtype, device)
2025-11-03T18:24:23.2467757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-11-03T18:24:23.2468649Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T18:24:23.2469514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-11-03T18:24:23.2470927Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]. To prevent overwriting, clone the tensor outside of torch.compile() or call torch.compiler.cudagraph_mark_step_begin() before each model invocation.
2025-11-03T18:24:23.2471895Z 
2025-11-03T18:24:23.2471977Z from user code:
2025-11-03T18:24:23.2472512Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-11-03T18:24:23.2473160Z     anchors = self.anchor_generator(images, features)
2025-11-03T18:24:23.2473837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward
2025-11-03T18:24:23.2474494Z     self.set_cell_anchors(dtype, device)
2025-11-03T18:24:23.2475186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-11-03T18:24:23.2476079Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T18:24:23.2476950Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-11-03T18:24:23.2477807Z     self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-11-03T18:24:23.2478222Z 
2025-11-03T18:24:23.2478871Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo"
2025-11-03T18:24:23.2479553Z 
2025-11-03T18:24:23.2479764Z TorchDynamo optimized model failed to run because of following error
2025-11-03T18:24:23.2627935Z Compilation time (from dynamo_timed): 177.572127853
2025-11-03T18:24:23.2657631Z fail_to_run
2025-11-03T18:24:23.3087302Z TIMING: gc:0.05029 entire_frame_compile:169.33179 _recursive_pre_grad_passes:0.03749 _recursive_joint_graph_passes:1.1569 inductor_compile:75.06723 backend_compile:115.27497 _recursive_post_grad_passes:1.14731 async_compile.wait:7.44663 code_gen:36.30813 cudagraphify.get_container:0.02287 CachingAutotuner.benchmark_all_configs:5.5236 pad_mm_benchmark:0.00636 entire_backward_compile:8.24034 CUDAGraphNode.record:0.02786 total_wall_time:177.57213
2025-11-03T18:24:23.3089985Z STATS: call_* op count: 3216 | FakeTensor.__torch_dispatch__:41344 | FakeTensorMode.__torch_dispatch__:75056 | attempt fast:1701 | slow no contiguity match:165 | fast is_contiguous:1207 | slow both tensors nontrivially broadcast:329 | ProxyTorchDispatchMode.__torch_dispatch__:15251
2025-11-03T18:24:23.3091249Z Dynamo produced 38 graphs covering 1232 ops with 37 graph breaks (9 unique)
2025-11-03T18:24:40.8268333Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T18:24:40.8270257Z   import pynvml  # type: ignore[import]
2025-11-03T18:24:43.4384770Z 
2025-11-03T18:24:46.5337350Z loading model: 0it [00:00, ?it/s]
2025-11-03T18:24:46.5338132Z loading model: 0it [00:03, ?it/s]
2025-11-03T18:24:46.5338725Z cuda train yolov3                             
2025-11-03T18:25:33.0312275Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T18:25:33.0313090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in torch_dynamo_resume_in_forward_and_backward_pass_at_464
2025-11-03T18:25:33.0313805Z     pred = mod(*cloned_inputs)
2025-11-03T18:25:33.0314259Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward
2025-11-03T18:25:33.0314762Z     return self.forward_once(x)
2025-11-03T18:25:33.0315236Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once
2025-11-03T18:25:33.0315752Z     yolo_out.append(module(x, out))
2025-11-03T18:25:33.0316213Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward
2025-11-03T18:25:33.0316756Z     self.grid = self.create_grids((nx, ny), p.device)
2025-11-03T18:25:33.0317289Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids
2025-11-03T18:25:33.0317836Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-11-03T18:25:33.0318070Z 
2025-11-03T18:25:33.0318234Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T18:25:33.0318971Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in torch_dynamo_resume_in_forward_and_backward_pass_at_464
2025-11-03T18:25:33.0319674Z     pred = mod(*cloned_inputs)
2025-11-03T18:25:33.0320123Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward
2025-11-03T18:25:33.0320609Z     return self.forward_once(x)
2025-11-03T18:25:33.0321080Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once
2025-11-03T18:25:33.0321582Z     yolo_out.append(module(x, out))
2025-11-03T18:25:33.0322047Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward
2025-11-03T18:25:33.0322567Z     self.grid = self.create_grids((nx, ny), p.device)
2025-11-03T18:25:33.0323096Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids
2025-11-03T18:25:33.0323925Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-11-03T18:25:33.0324170Z 
2025-11-03T18:25:33.0324332Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T18:25:33.0325071Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in torch_dynamo_resume_in_forward_and_backward_pass_at_464
2025-11-03T18:25:33.0325766Z     pred = mod(*cloned_inputs)
2025-11-03T18:25:33.0326212Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward
2025-11-03T18:25:33.0326689Z     return self.forward_once(x)
2025-11-03T18:25:33.0327162Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once
2025-11-03T18:25:33.0327682Z     yolo_out.append(module(x, out))
2025-11-03T18:25:33.0328144Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward
2025-11-03T18:25:33.0328657Z     self.grid = self.create_grids((nx, ny), p.device)
2025-11-03T18:25:33.0329192Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids
2025-11-03T18:25:33.0329728Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-11-03T18:25:33.0329958Z 
2025-11-03T18:25:33.7516547Z cudagraph partition into 2 partitions
2025-11-03T18:26:20.1726447Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in torch_dynamo_resume_in_forward_and_backward_pass_at_464
2025-11-03T18:26:20.1727877Z     pred = mod(*cloned_inputs)
2025-11-03T18:26:20.1728411Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward
2025-11-03T18:26:20.1729280Z     return self.forward_once(x)
2025-11-03T18:26:20.1738016Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 374, in forward_once
2025-11-03T18:26:20.1738573Z     x = module(x)
2025-11-03T18:26:20.1738717Z 
2025-11-03T18:26:20.1738722Z 
2025-11-03T18:26:23.0742460Z W1103 18:26:23.073000 60935 site-packages/torch/_logging/_internal.py:1200] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-11-03T18:27:22.0216913Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in torch_dynamo_resume_in_forward_and_backward_pass_at_464
2025-11-03T18:27:22.0218071Z     pred = mod(*cloned_inputs)
2025-11-03T18:27:22.0218558Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward
2025-11-03T18:27:22.0219059Z     return self.forward_once(x)
2025-11-03T18:27:22.0219548Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 374, in forward_once
2025-11-03T18:27:22.0220066Z     x = module(x)
2025-11-03T18:27:22.0220209Z 
2025-11-03T18:27:22.0220214Z 
2025-11-03T18:27:24.2397374Z Compilation time (from dynamo_timed): 138.84664979899998
2025-11-03T18:27:24.2423793Z pass
2025-11-03T18:27:24.2813945Z TIMING: gc:0.00903 entire_frame_compile:104.79356 _recursive_pre_grad_passes:0.04876 _recursive_joint_graph_passes:0.71461 _recursive_post_grad_passes:0.98292 async_compile.wait:6.06689 code_gen:56.05798 inductor_compile:79.75205 backend_compile:72.51987 cudagraphify.get_container:0.02498 CachingAutotuner.benchmark_all_configs:2.68263 entire_backward_compile:34.05309 CUDAGraphNode.record:0.00977 total_wall_time:138.84665
2025-11-03T18:27:24.2816191Z STATS: call_* op count: 1826 | FakeTensorMode.__torch_dispatch__:43018 | FakeTensor.__torch_dispatch__:55915 | ProxyTorchDispatchMode.__torch_dispatch__:16361
2025-11-03T18:27:24.2817042Z Dynamo produced 4 graphs covering 1826 ops with 8 graph breaks (5 unique)
2025-11-03T18:27:29.9161060Z accuracy            pass_rate=75.00%
2025-11-03T18:27:29.9164907Z calls_captured      gmean=0.00x mean=486.969x
2025-11-03T18:27:29.9167017Z unique_graphs       gmean=0.00x mean=3.562x
2025-11-03T18:27:29.9169908Z graph_breaks        gmean=0.00x mean=6.562x
2025-11-03T18:27:29.9173811Z unique_graph_breaks gmean=0.00x mean=4.375x
2025-11-03T18:27:29.9176955Z autograd_captures   gmean=0.00x mean=0.000x
2025-11-03T18:27:29.9180399Z autograd_compiles   gmean=0.00x mean=0.000x
2025-11-03T18:27:29.9183735Z cudagraph_skips     gmean=0.00x mean=0.344x
2025-11-03T18:27:29.9184458Z compilation_latency mean=40.578 seconds
2025-11-03T18:27:30.6397447Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/training_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_training.csv
2025-11-03T18:27:30.9795944Z llava                               XFAIL
2025-11-03T18:27:30.9799221Z maml_omniglot                       PASS
2025-11-03T18:27:30.9804083Z microbench_unbacked_tolist_sum      PASS
2025-11-03T18:27:30.9808646Z mnasnet1_0                          PASS
2025-11-03T18:27:30.9813304Z mobilenet_v2                        PASS
2025-11-03T18:27:30.9818080Z mobilenet_v2_quantized_qat          XFAIL
2025-11-03T18:27:30.9822612Z mobilenet_v3_large                  PASS
2025-11-03T18:27:30.9827123Z moco                                PASS
2025-11-03T18:27:30.9831705Z nanogpt                             PASS
2025-11-03T18:27:30.9836681Z nvidia_deeprecommender              PASS
2025-11-03T18:27:30.9841195Z opacus_cifar10                      XFAIL
2025-11-03T18:27:30.9845579Z phlippe_densenet                    PASS
2025-11-03T18:27:30.9850124Z phlippe_resnet                      PASS
2025-11-03T18:27:30.9854772Z pytorch_CycleGAN_and_pix2pix        PASS
2025-11-03T18:27:30.9859138Z pytorch_stargan                     PASS
2025-11-03T18:27:30.9863696Z pytorch_unet                        XFAIL
2025-11-03T18:27:30.9868206Z resnet152                           PASS
2025-11-03T18:27:30.9872707Z resnet18                            PASS
2025-11-03T18:27:30.9877295Z resnet50                            PASS
2025-11-03T18:27:30.9881793Z resnet50_quantized_qat              XFAIL
2025-11-03T18:27:30.9886335Z resnext50_32x4d                     PASS
2025-11-03T18:27:30.9890809Z sam                                 XFAIL
2025-11-03T18:27:30.9895849Z shufflenet_v2_x1_0                  PASS
2025-11-03T18:27:30.9900049Z soft_actor_critic                   PASS
2025-11-03T18:27:30.9904469Z squeezenet1_1                       PASS
2025-11-03T18:27:30.9909042Z stable_diffusion_text_encoder       PASS
2025-11-03T18:27:30.9913472Z stable_diffusion_unet               XFAIL
2025-11-03T18:27:30.9918178Z torch_multimodal_clip               PASS
2025-11-03T18:27:30.9922669Z tts_angular                         PASS
2025-11-03T18:27:30.9927104Z vgg16                               PASS
2025-11-03T18:27:30.9931958Z vision_maskrcnn                     FAIL_BUT_FLAKY: accuracy=fail_to_run, expected=pass
2025-11-03T18:27:30.9937084Z yolov3                              PASS
2025-11-03T18:27:31.0471506Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/workspace/test/test-reports/training_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_training.csv
2025-11-03T18:27:31.3853563Z llava                               PASS
2025-11-03T18:27:31.3856913Z maml_omniglot                       PASS
2025-11-03T18:27:31.3860057Z microbench_unbacked_tolist_sum      PASS
2025-11-03T18:27:31.3864729Z mnasnet1_0                          PASS
2025-11-03T18:27:31.3869402Z mobilenet_v2                        PASS
2025-11-03T18:27:31.3873992Z mobilenet_v2_quantized_qat          PASS
2025-11-03T18:27:31.3878742Z mobilenet_v3_large                  PASS
2025-11-03T18:27:31.3883251Z moco                                PASS
2025-11-03T18:27:31.3887949Z nanogpt                             PASS
2025-11-03T18:27:31.3892701Z nvidia_deeprecommender              PASS
2025-11-03T18:27:31.3897393Z opacus_cifar10                      PASS
2025-11-03T18:27:31.3901869Z phlippe_densenet                    PASS
2025-11-03T18:27:31.3906468Z phlippe_resnet                      PASS
2025-11-03T18:27:31.3911072Z pytorch_CycleGAN_and_pix2pix        PASS
2025-11-03T18:27:31.3915946Z pytorch_stargan                     PASS
2025-11-03T18:27:31.3920398Z pytorch_unet                        PASS
2025-11-03T18:27:31.3924944Z resnet152                           PASS
2025-11-03T18:27:31.3929378Z resnet18                            PASS
2025-11-03T18:27:31.3934504Z resnet50                            PASS
2025-11-03T18:27:31.3938951Z resnet50_quantized_qat              PASS
2025-11-03T18:27:31.3943729Z resnext50_32x4d                     PASS
2025-11-03T18:27:31.3948201Z sam                                 PASS
2025-11-03T18:27:31.3952894Z shufflenet_v2_x1_0                  PASS
2025-11-03T18:27:31.3957242Z soft_actor_critic                   PASS
2025-11-03T18:27:31.3961861Z squeezenet1_1                       PASS
2025-11-03T18:27:31.3966413Z stable_diffusion_text_encoder       PASS
2025-11-03T18:27:31.3970998Z stable_diffusion_unet               PASS
2025-11-03T18:27:31.3975757Z torch_multimodal_clip               PASS
2025-11-03T18:27:31.3980402Z tts_angular                         PASS
2025-11-03T18:27:31.3984863Z vgg16                               PASS
2025-11-03T18:27:31.3989494Z vision_maskrcnn                     PASS
2025-11-03T18:27:31.3993935Z yolov3                              PASS_BUT_FLAKY
2025-11-03T18:27:31.4531096Z + sccache_epilogue
2025-11-03T18:27:31.4531677Z + echo '::group::Sccache Compilation Log'
2025-11-03T18:27:31.4532340Z ##[group]Sccache Compilation Log
2025-11-03T18:27:31.4532682Z + echo '=================== sccache compilation log ==================='
2025-11-03T18:27:31.4533069Z =================== sccache compilation log ===================
2025-11-03T18:27:31.4533666Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-11-03T18:27:31.4797224Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-11-03T18:27:31.4797878Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-11-03T18:27:31.4798370Z + sccache --show-stats
2025-11-03T18:27:31.4834373Z Compile requests                     52
2025-11-03T18:27:31.4834705Z Compile requests executed             0
2025-11-03T18:27:31.4835504Z Cache hits                            0
2025-11-03T18:27:31.4835983Z Cache misses                          0
2025-11-03T18:27:31.4836302Z Cache hits rate                       -
2025-11-03T18:27:31.4836665Z Cache timeouts                        0
2025-11-03T18:27:31.4837131Z Cache read errors                     0
2025-11-03T18:27:31.4837473Z Forced recaches                       0
2025-11-03T18:27:31.4837757Z Cache write errors                    0
2025-11-03T18:27:31.4838076Z Cache errors                          0
2025-11-03T18:27:31.4838360Z Compilations                          0
2025-11-03T18:27:31.4838651Z Compilation failures                  0
2025-11-03T18:27:31.4838973Z Non-cacheable compilations            0
2025-11-03T18:27:31.4839339Z Non-cacheable calls                   6
2025-11-03T18:27:31.4839654Z Non-compilation calls                46
2025-11-03T18:27:31.4840044Z Unsupported compiler calls            0
2025-11-03T18:27:31.4840408Z Average cache write               0.000 s
2025-11-03T18:27:31.4840786Z Average compiler                  0.000 s
2025-11-03T18:27:31.4841092Z Average cache read hit            0.000 s
2025-11-03T18:27:31.4841438Z Failed distributed compilations       0
2025-11-03T18:27:31.4841699Z 
2025-11-03T18:27:31.4841791Z Non-cacheable reasons:
2025-11-03T18:27:31.4842029Z -E                                    6
2025-11-03T18:27:31.4842231Z 
2025-11-03T18:27:31.4842529Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-11-03T18:27:31.4842982Z Version (client)                0.10.0
2025-11-03T18:27:31.4843337Z + sccache --stop-server
2025-11-03T18:27:31.4861884Z Stopping sccache server...
2025-11-03T18:27:31.4865330Z Compile requests                     52
2025-11-03T18:27:31.4865790Z Compile requests executed             0
2025-11-03T18:27:31.4866540Z Cache hits                            0
2025-11-03T18:27:31.4866912Z Cache misses                          0
2025-11-03T18:27:31.4867200Z Cache hits rate                       -
2025-11-03T18:27:31.4867488Z Cache timeouts                        0
2025-11-03T18:27:31.4867769Z Cache read errors                     0
2025-11-03T18:27:31.4868048Z Forced recaches                       0
2025-11-03T18:27:31.4868333Z Cache write errors                    0
2025-11-03T18:27:31.4868617Z Cache errors                          0
2025-11-03T18:27:31.4868897Z Compilations                          0
2025-11-03T18:27:31.4869176Z Compilation failures                  0
2025-11-03T18:27:31.4869481Z Non-cacheable compilations            0
2025-11-03T18:27:31.4869777Z Non-cacheable calls                   6
2025-11-03T18:27:31.4870076Z Non-compilation calls                46
2025-11-03T18:27:31.4870366Z Unsupported compiler calls            0
2025-11-03T18:27:31.4870667Z Average cache write               0.000 s
2025-11-03T18:27:31.4870984Z Average compiler                  0.000 s
2025-11-03T18:27:31.4871411Z Average cache read hit            0.000 s
2025-11-03T18:27:31.4871840Z Failed distributed compilations       0
2025-11-03T18:27:31.4872120Z 
2025-11-03T18:27:31.4872251Z Non-cacheable reasons:
2025-11-03T18:27:31.4872552Z -E                                    6
2025-11-03T18:27:31.4872741Z 
2025-11-03T18:27:31.4872970Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-11-03T18:27:31.4873401Z Version (client)                0.10.0
2025-11-03T18:27:31.4873699Z + echo ::endgroup::
2025-11-03T18:27:31.4874157Z ##[endgroup]
2025-11-03T18:27:31.4874669Z + cleanup_workspace
2025-11-03T18:27:31.4875230Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-11-03T18:27:31.4876123Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-11-03T18:27:31.4876865Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-11-03T18:27:31.4877313Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-11-03T18:27:31.4877880Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-11-03T18:27:31.4878497Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-11-03T18:27:31.4879049Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-11-03T18:27:32.5753338Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-11-03T18:27:32.5753784Z with:
2025-11-03T18:27:32.5754025Z   benchmark-results-dir: test/test-reports
2025-11-03T18:27:32.5754335Z   dry-run: false
2025-11-03T18:27:32.5754577Z   schema-version: v3
2025-11-03T18:27:32.5755004Z   github-token: ***
2025-11-03T18:27:32.5755215Z env:
2025-11-03T18:27:32.5755415Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:27:32.5755731Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:27:32.5756268Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:27:32.5756733Z ##[endgroup]
2025-11-03T18:27:32.5783982Z ##[group]Run set -eux
2025-11-03T18:27:32.5784249Z set -eux
2025-11-03T18:27:32.5784458Z 
2025-11-03T18:27:32.5784663Z if [[ -n "" ]]; then
2025-11-03T18:27:32.5784924Z   source ""
2025-11-03T18:27:32.5785145Z fi
2025-11-03T18:27:32.5785501Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-11-03T18:27:32.5785903Z 
2025-11-03T18:27:32.5786097Z DEVICE_NAME=""
2025-11-03T18:27:32.5786345Z DEVICE_TYPE=""
2025-11-03T18:27:32.5786605Z 
2025-11-03T18:27:32.5786822Z if command -v nvidia-smi; then
2025-11-03T18:27:32.5787258Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-11-03T18:27:32.5798734Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-11-03T18:27:32.5799254Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-11-03T18:27:32.5799669Z   python3 -mpip install torch==2.7.1
2025-11-03T18:27:32.5799995Z elif command -v rocminfo; then
2025-11-03T18:27:32.5800414Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-11-03T18:27:32.5800949Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-11-03T18:27:32.5801476Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-11-03T18:27:32.5801938Z   # GPU device name coming from rocminfo instead
2025-11-03T18:27:32.5802280Z   DEVICE_NAME=rocm
2025-11-03T18:27:32.5802731Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-11-03T18:27:32.5803217Z fi
2025-11-03T18:27:32.5803413Z 
2025-11-03T18:27:32.5803659Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-11-03T18:27:32.5804040Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-11-03T18:27:32.5819448Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:27:32.5819798Z env:
2025-11-03T18:27:32.5820001Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:27:32.5820301Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:27:32.5820831Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:27:32.5821303Z ##[endgroup]
2025-11-03T18:27:32.5861592Z + [[ -n '' ]]
2025-11-03T18:27:32.5862094Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-11-03T18:27:32.8518455Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T18:27:34.1175059Z Collecting boto3==1.35.33
2025-11-03T18:27:34.1346811Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-11-03T18:27:34.5031747Z Collecting psutil==7.0.0
2025-11-03T18:27:34.5068841Z   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)
2025-11-03T18:27:34.5373812Z Collecting pynvml==12.0.0
2025-11-03T18:27:34.5404978Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-11-03T18:27:35.8849284Z Collecting botocore<1.36.0,>=1.35.33
2025-11-03T18:27:35.8953087Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-11-03T18:27:36.0868445Z Collecting s3transfer<0.11.0,>=0.10.0
2025-11-03T18:27:36.0901046Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-11-03T18:27:36.0961303Z 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)
2025-11-03T18:27:36.1433360Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-11-03T18:27:36.1466157Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-11-03T18:27:36.1566050Z 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)
2025-11-03T18:27:36.1575488Z 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)
2025-11-03T18:27:36.3728637Z 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)
2025-11-03T18:27:36.5107538Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-11-03T18:27:37.0845765Z   Attempting uninstall: nvidia-ml-py
2025-11-03T18:27:37.0846642Z     Found existing installation: nvidia-ml-py 11.525.84
2025-11-03T18:27:37.0861916Z     Uninstalling nvidia-ml-py-11.525.84:
2025-11-03T18:27:37.1115763Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-11-03T18:27:37.1728851Z   Attempting uninstall: psutil
2025-11-03T18:27:37.1729344Z     Found existing installation: psutil 5.9.8
2025-11-03T18:27:37.1819657Z     Uninstalling psutil-5.9.8:
2025-11-03T18:27:37.1826995Z       Successfully uninstalled psutil-5.9.8
2025-11-03T18:27:37.3539091Z 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
2025-11-03T18:27:37.4842545Z + DEVICE_NAME=
2025-11-03T18:27:37.4842863Z + DEVICE_TYPE=
2025-11-03T18:27:37.4843170Z + command -v nvidia-smi
2025-11-03T18:27:37.4843518Z + python3 -mpip install torch==2.7.1
2025-11-03T18:27:37.4843908Z /usr/bin/nvidia-smi
2025-11-03T18:27:37.7236229Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T18:27:38.0182195Z Collecting torch==2.7.1
2025-11-03T18:27:38.0426275Z   Downloading torch-2.7.1-cp39-cp39-manylinux_2_28_x86_64.whl (821.1 MB)
2025-11-03T18:27:50.5268587Z Collecting nvidia-nvjitlink-cu12==12.6.85
2025-11-03T18:27:50.5322111Z   Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB)
2025-11-03T18:27:50.7599438Z Collecting nvidia-cusparse-cu12==12.5.4.2
2025-11-03T18:27:50.7639852Z   Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB)
2025-11-03T18:27:53.3644084Z Collecting nvidia-cuda-runtime-cu12==12.6.77
2025-11-03T18:27:53.3682914Z   Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB)
2025-11-03T18:27:53.4153790Z Collecting nvidia-cusolver-cu12==11.7.1.2
2025-11-03T18:27:53.4236206Z   Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB)
2025-11-03T18:27:55.1418530Z Collecting fsspec
2025-11-03T18:27:55.1456629Z   Downloading fsspec-2025.10.0-py3-none-any.whl (200 kB)
2025-11-03T18:27:55.1844525Z Collecting nvidia-cublas-cu12==12.6.4.1
2025-11-03T18:27:55.1916717Z   Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB)
2025-11-03T18:28:00.7091289Z Collecting nvidia-cufile-cu12==1.11.1.6
2025-11-03T18:28:00.7171224Z   Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB)
2025-11-03T18:28:00.7659532Z Collecting nvidia-cufft-cu12==11.3.0.4
2025-11-03T18:28:00.7734342Z   Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB)
2025-11-03T18:28:03.1497298Z Collecting nvidia-nccl-cu12==2.26.2
2025-11-03T18:28:03.1576000Z   Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB)
2025-11-03T18:28:05.5549935Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from torch==2.7.1) (4.15.0)
2025-11-03T18:28:05.5882508Z Collecting nvidia-curand-cu12==10.3.7.77
2025-11-03T18:28:05.5955413Z   Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB)
2025-11-03T18:28:06.2157884Z Collecting sympy>=1.13.3
2025-11-03T18:28:06.2197752Z   Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB)
2025-11-03T18:28:06.3268296Z Collecting nvidia-cudnn-cu12==9.5.1.17
2025-11-03T18:28:06.3343903Z   Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB)
2025-11-03T18:28:14.7577528Z Collecting nvidia-nvtx-cu12==12.6.77
2025-11-03T18:28:14.7611732Z   Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB)
2025-11-03T18:28:14.7999570Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77
2025-11-03T18:28:14.8096997Z   Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB)
2025-11-03T18:28:15.0396689Z Requirement already satisfied: jinja2 in /usr/lib/python3.9/site-packages (from torch==2.7.1) (2.11.3)
2025-11-03T18:28:15.0950178Z Collecting filelock
2025-11-03T18:28:15.0987152Z   Downloading filelock-3.19.1-py3-none-any.whl (15 kB)
2025-11-03T18:28:15.1328922Z Collecting nvidia-cuda-cupti-cu12==12.6.80
2025-11-03T18:28:15.1399147Z   Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB)
2025-11-03T18:28:15.2350045Z Collecting nvidia-cusparselt-cu12==0.6.3
2025-11-03T18:28:15.2391495Z   Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB)
2025-11-03T18:28:16.8879783Z Collecting triton==3.3.1
2025-11-03T18:28:16.8994068Z   Downloading triton-3.3.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB)
2025-11-03T18:28:18.5933545Z Collecting networkx
2025-11-03T18:28:18.5982386Z   Downloading networkx-3.2.1-py3-none-any.whl (1.6 MB)
2025-11-03T18:28:18.6487497Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3.9/site-packages (from triton==3.3.1->torch==2.7.1) (59.6.0)
2025-11-03T18:28:18.6817287Z Collecting mpmath<1.4,>=1.1.0
2025-11-03T18:28:18.6851962Z   Downloading mpmath-1.3.0-py3-none-any.whl (536 kB)
2025-11-03T18:28:18.7809279Z Requirement already satisfied: MarkupSafe>=0.23 in /usr/lib64/python3.9/site-packages (from jinja2->torch==2.7.1) (1.1.1)
2025-11-03T18:28:19.1455524Z Installing collected packages: nvidia-nvjitlink-cu12, nvidia-cusparse-cu12, nvidia-cublas-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nccl-cu12, nvidia-cusparselt-cu12, nvidia-cusolver-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, networkx, fsspec, filelock, torch
2025-11-03T18:28:28.5366313Z   WARNING: The scripts proton and proton-viewer are installed in '/home/ec2-user/.local/bin' which is not on PATH.
2025-11-03T18:28:28.5367186Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2025-11-03T18:28:32.6468953Z   WARNING: The script isympy is installed in '/home/ec2-user/.local/bin' which is not on PATH.
2025-11-03T18:28:32.6470225Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2025-11-03T18:29:04.9548363Z   WARNING: The scripts torchfrtrace and torchrun are installed in '/home/ec2-user/.local/bin' which is not on PATH.
2025-11-03T18:29:04.9549255Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2025-11-03T18:29:05.1870687Z Successfully installed filelock-3.19.1 fsspec-2025.10.0 mpmath-1.3.0 networkx-3.2.1 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1
2025-11-03T18:29:05.8754993Z + echo DEVICE_NAME=
2025-11-03T18:29:05.8755564Z + echo DEVICE_TYPE=
2025-11-03T18:29:05.8785583Z ##[group]Run set -eux
2025-11-03T18:29:05.8785840Z set -eux
2025-11-03T18:29:05.8786116Z 
2025-11-03T18:29:05.8786444Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-11-03T18:29:05.8786814Z   echo "Missing github-token input"
2025-11-03T18:29:05.8787115Z   exit 1
2025-11-03T18:29:05.8787321Z fi
2025-11-03T18:29:05.8799885Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:29:05.8800233Z env:
2025-11-03T18:29:05.8800438Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:05.8800754Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:05.8801299Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:05.8801770Z   DEVICE_NAME: 
2025-11-03T18:29:05.8801985Z   DEVICE_TYPE: 
2025-11-03T18:29:05.8802397Z   GITHUB_TOKEN: ***
2025-11-03T18:29:05.8802673Z ##[endgroup]
2025-11-03T18:29:05.9068447Z + [[ -z *** ]]
2025-11-03T18:29:05.9199731Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-11-03T18:29:05.9200173Z with:
2025-11-03T18:29:05.9200530Z   github-token: ***
2025-11-03T18:29:05.9200746Z env:
2025-11-03T18:29:05.9200939Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:05.9201249Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:05.9201767Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:05.9202233Z   DEVICE_NAME: 
2025-11-03T18:29:05.9202440Z   DEVICE_TYPE: 
2025-11-03T18:29:05.9202641Z ##[endgroup]
2025-11-03T18:29:05.9458779Z ##[group]Run set -eux
2025-11-03T18:29:05.9459038Z set -eux
2025-11-03T18:29:05.9459258Z 
2025-11-03T18:29:05.9459715Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-11-03T18:29:05.9468982Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:29:05.9469433Z env:
2025-11-03T18:29:05.9469677Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:05.9469997Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:05.9470525Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:05.9470996Z   DEVICE_NAME: 
2025-11-03T18:29:05.9471218Z   DEVICE_TYPE: 
2025-11-03T18:29:05.9471565Z   GITHUB_TOKEN: ***
2025-11-03T18:29:05.9471786Z ##[endgroup]
2025-11-03T18:29:05.9509470Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19040285537 i-0c691f31c933d48d6
2025-11-03T18:29:07.1619686Z setting job-id=54383846930
2025-11-03T18:29:07.1620246Z setting job-name=inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-11-03T18:29:07.1894042Z ##[group]Run set -eux
2025-11-03T18:29:07.1894309Z set -eux
2025-11-03T18:29:07.1894523Z 
2025-11-03T18:29:07.1894937Z if [[ -n "" ]]; then
2025-11-03T18:29:07.1895193Z   source ""
2025-11-03T18:29:07.1895406Z fi
2025-11-03T18:29:07.1895604Z 
2025-11-03T18:29:07.1895963Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-11-03T18:29:07.1896463Z   --schema-version "${SCHEMA_VERSION}" \
2025-11-03T18:29:07.1896785Z   --repo "${REPO}" \
2025-11-03T18:29:07.1897071Z   --head-branch "${HEAD_BRANCH}" \
2025-11-03T18:29:07.1897386Z   --head-sha "${HEAD_SHA}" \
2025-11-03T18:29:07.1897700Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-11-03T18:29:07.1898025Z   --run-attempt "${RUN_ATTEMPT}" \
2025-11-03T18:29:07.1898499Z   --job-id "${JOB_ID}" \
2025-11-03T18:29:07.1898789Z   --job-name "${JOB_NAME}"
2025-11-03T18:29:07.1907921Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:29:07.1908433Z env:
2025-11-03T18:29:07.1908648Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:07.1908976Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:07.1909520Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:07.1910001Z   DEVICE_NAME: 
2025-11-03T18:29:07.1910216Z   DEVICE_TYPE: 
2025-11-03T18:29:07.1910443Z   SCHEMA_VERSION: v3
2025-11-03T18:29:07.1910693Z   REPO: pytorch/pytorch
2025-11-03T18:29:07.1910947Z   HEAD_BRANCH: refs/heads/main
2025-11-03T18:29:07.1911253Z   HEAD_SHA: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T18:29:07.1911595Z   WORKFLOW_RUN_ID: 19040285537
2025-11-03T18:29:07.1911854Z   RUN_ATTEMPT: 1
2025-11-03T18:29:07.1912072Z   JOB_ID: 54383846930
2025-11-03T18:29:07.1912487Z   JOB_NAME: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-11-03T18:29:07.1912961Z ##[endgroup]
2025-11-03T18:29:07.1946859Z + [[ -n '' ]]
2025-11-03T18:29:07.1948984Z + 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 3f6538febd727b782e6e13cfd026a309fb14351d --workflow-id 19040285537 --run-attempt 1 --job-id 54383846930 --job-name 'inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)'
2025-11-03T18:29:07.2532494Z ##[group]Run set -eux
2025-11-03T18:29:07.2532760Z set -eux
2025-11-03T18:29:07.2532975Z 
2025-11-03T18:29:07.2533192Z if [[ -n "" ]]; then
2025-11-03T18:29:07.2533455Z   source ""
2025-11-03T18:29:07.2533688Z fi
2025-11-03T18:29:07.2533881Z 
2025-11-03T18:29:07.2534270Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-11-03T18:29:07.2543397Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:29:07.2543762Z env:
2025-11-03T18:29:07.2543971Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:07.2544314Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:07.2544852Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:07.2545340Z   DEVICE_NAME: 
2025-11-03T18:29:07.2545564Z   DEVICE_TYPE: 
2025-11-03T18:29:07.2545775Z ##[endgroup]
2025-11-03T18:29:07.2577115Z + [[ -n '' ]]
2025-11-03T18:29:07.2578119Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-11-03T18:29:08.2712144Z /home/ec2-user/.local/lib/python3.9/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.)
2025-11-03T18:29:08.2713473Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-11-03T18:29:09.2918871Z ##[group]Run set -eux
2025-11-03T18:29:09.2919138Z set -eux
2025-11-03T18:29:09.2919540Z 
2025-11-03T18:29:09.2919770Z # TODO (huydhn): Implement this part
2025-11-03T18:29:09.2920139Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-11-03T18:29:09.2929273Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:29:09.2929633Z env:
2025-11-03T18:29:09.2929838Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:09.2930156Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:09.2930686Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:09.2931471Z   DEVICE_NAME: 
2025-11-03T18:29:09.2931764Z   DEVICE_TYPE: 
2025-11-03T18:29:09.2931974Z ##[endgroup]
2025-11-03T18:29:09.2963621Z + echo 'dependencies={}'
2025-11-03T18:29:09.3079333Z ##[group]Run set -eux
2025-11-03T18:29:09.3079584Z set -eux
2025-11-03T18:29:09.3079797Z 
2025-11-03T18:29:09.3079994Z if [[ -n "" ]]; then
2025-11-03T18:29:09.3080248Z   source ""
2025-11-03T18:29:09.3080476Z fi
2025-11-03T18:29:09.3080673Z 
2025-11-03T18:29:09.3080913Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-11-03T18:29:09.3081329Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-11-03T18:29:09.3081786Z   # We don't want the job to fail if the directory doesn't exist
2025-11-03T18:29:09.3082173Z   exit 0
2025-11-03T18:29:09.3082384Z fi
2025-11-03T18:29:09.3082572Z 
2025-11-03T18:29:09.3082789Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-11-03T18:29:09.3083243Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-11-03T18:29:09.3083776Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-11-03T18:29:09.3084175Z     --metadata "${BENCHMARK_METADATA}" \
2025-11-03T18:29:09.3084507Z     --runners "${RUNNER_INFO}" \
2025-11-03T18:29:09.3084842Z     --dependencies "${DEPENDENCIES}" \
2025-11-03T18:29:09.3085162Z     --dry-run
2025-11-03T18:29:09.3085390Z else
2025-11-03T18:29:09.3085745Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-11-03T18:29:09.3086266Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-11-03T18:29:09.3086670Z     --metadata "${BENCHMARK_METADATA}" \
2025-11-03T18:29:09.3087005Z     --runners "${RUNNER_INFO}" \
2025-11-03T18:29:09.3087322Z     --dependencies "${DEPENDENCIES}"
2025-11-03T18:29:09.3098605Z fi
2025-11-03T18:29:09.3106793Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:29:09.3107137Z env:
2025-11-03T18:29:09.3107340Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:09.3107649Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:09.3108170Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:09.3108632Z   DEVICE_NAME: 
2025-11-03T18:29:09.3108847Z   DEVICE_TYPE: 
2025-11-03T18:29:09.3109081Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-11-03T18:29:09.3109374Z   DRY_RUN: false
2025-11-03T18:29:09.3110636Z   BENCHMARK_METADATA: {"timestamp": 1762194547, "schema_version": "v3", "name": "inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "3f6538febd727b782e6e13cfd026a309fb14351d", "workflow_id": 19040285537, "run_attempt": 1, "job_id": 54383846930}
2025-11-03T18:29:09.3112459Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 62, "extra_info": {"hostname": "ip-10-0-74-174.ec2.internal"}, "name": "cuda", "type": "NVIDIA A10G", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}]
2025-11-03T18:29:09.3113211Z   DEPENDENCIES: {}
2025-11-03T18:29:09.3113428Z ##[endgroup]
2025-11-03T18:29:09.3141963Z + [[ -n '' ]]
2025-11-03T18:29:09.3142352Z + [[ ! -d test/test-reports ]]
2025-11-03T18:29:09.3142645Z + [[ false == \t\r\u\e ]]
2025-11-03T18:29:09.3145861Z + 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": 1762194547, "schema_version": "v3", "name": "inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "3f6538febd727b782e6e13cfd026a309fb14351d", "workflow_id": 19040285537, "run_attempt": 1, "job_id": 54383846930}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 62, "extra_info": {"hostname": "ip-10-0-74-174.ec2.internal"}, "name": "cuda", "type": "NVIDIA A10G", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}]' --dependencies '{}'
2025-11-03T18:29:09.5039706Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54383846930/inference_torchbench.json
2025-11-03T18:29:09.5467345Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role
2025-11-03T18:29:09.7525575Z INFO:root:Upload test/test-reports/training_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54383846930/training_torchbench.json
2025-11-03T18:29:09.9142746Z ##[group]Run cat test/**/*_toprint.log || true
2025-11-03T18:29:09.9143128Z cat test/**/*_toprint.log || true
2025-11-03T18:29:09.9151966Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:29:09.9152323Z env:
2025-11-03T18:29:09.9152527Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:09.9152839Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:09.9153366Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:09.9153837Z   DEVICE_NAME: 
2025-11-03T18:29:09.9154051Z   DEVICE_TYPE: 
2025-11-03T18:29:09.9154263Z ##[endgroup]
2025-11-03T18:29:09.9268737Z cat: 'test/**/*_toprint.log': No such file or directory
2025-11-03T18:29:09.9648140Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-11-03T18:29:09.9648478Z kill "$MONITOR_SCRIPT_PID"
2025-11-03T18:29:09.9656738Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:29:09.9657096Z env:
2025-11-03T18:29:09.9657303Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:09.9657614Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:09.9658143Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:09.9658641Z   DEVICE_NAME: 
2025-11-03T18:29:09.9658854Z   DEVICE_TYPE: 
2025-11-03T18:29:09.9659078Z   MONITOR_SCRIPT_PID: 59678
2025-11-03T18:29:09.9659339Z ##[endgroup]
2025-11-03T18:29:09.9887015Z Prepare all required actions
2025-11-03T18:29:09.9887390Z Getting action download info
2025-11-03T18:29:10.1670956Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-11-03T18:29:11.1792498Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-11-03T18:29:13.7645260Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-11-03T18:29:13.7645601Z with:
2025-11-03T18:29:13.7645999Z   file-suffix: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_54383846930
2025-11-03T18:29:13.7646494Z   s3-bucket: gha-artifacts
2025-11-03T18:29:13.7646753Z env:
2025-11-03T18:29:13.7646951Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:13.7647305Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:13.7647864Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:13.7648343Z   DEVICE_NAME: 
2025-11-03T18:29:13.7648592Z   DEVICE_TYPE: 
2025-11-03T18:29:13.7648800Z ##[endgroup]
2025-11-03T18:29:13.7801944Z ##[group]Run # Remove any previous test jsons if they exist
2025-11-03T18:29:13.7802377Z # Remove any previous test jsons if they exist
2025-11-03T18:29:13.7802733Z rm -f test-jsons-*.zip
2025-11-03T18:29:13.7803321Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-11-03T18:29:13.7812601Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:29:13.7812965Z env:
2025-11-03T18:29:13.7813163Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:13.7813489Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:13.7814016Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:13.7814479Z   DEVICE_NAME: 
2025-11-03T18:29:13.7814689Z   DEVICE_TYPE: 
2025-11-03T18:29:13.7815077Z   FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_54383846930
2025-11-03T18:29:13.7815537Z ##[endgroup]
2025-11-03T18:29:13.8655315Z   adding: test/test-reports/inference_torchbench.json (deflated 99%)
2025-11-03T18:29:13.8696998Z   adding: test/test-reports/training_torchbench.json (deflated 99%)
2025-11-03T18:29:13.8786029Z ##[group]Run # Remove any previous test reports if they exist
2025-11-03T18:29:13.8786501Z # Remove any previous test reports if they exist
2025-11-03T18:29:13.8786859Z rm -f test-reports-*.zip
2025-11-03T18:29:13.8787312Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-11-03T18:29:13.8796411Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:29:13.8796764Z env:
2025-11-03T18:29:13.8796958Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:13.8797297Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:13.8797854Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:13.8798330Z   DEVICE_NAME: 
2025-11-03T18:29:13.8798562Z   DEVICE_TYPE: 
2025-11-03T18:29:13.8798948Z   FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_54383846930
2025-11-03T18:29:13.8799411Z ##[endgroup]
2025-11-03T18:29:13.8910807Z   adding: test/test-reports/inference_torchbench.csv (deflated 61%)
2025-11-03T18:29:13.8914327Z   adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 93%)
2025-11-03T18:29:13.8916143Z   adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 78%)
2025-11-03T18:29:13.8916744Z   adding: test/test-reports/training_torchbench.csv (deflated 59%)
2025-11-03T18:29:13.8929484Z   adding: test/test-reports/training_torchbench_graph_breaks.csv (deflated 97%)
2025-11-03T18:29:13.8932182Z   adding: test/test-reports/training_torchbench_graph_break_deduped.csv (deflated 80%)
2025-11-03T18:29:13.9032579Z ##[group]Run # Remove any previous usage logs if they exist
2025-11-03T18:29:13.9033259Z # Remove any previous usage logs if they exist
2025-11-03T18:29:13.9034078Z rm -f logs-*.zip
2025-11-03T18:29:13.9034593Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-11-03T18:29:13.9035358Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-11-03T18:29:13.9048061Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:29:13.9048642Z env:
2025-11-03T18:29:13.9048953Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:13.9049441Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:13.9050237Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:13.9050983Z   DEVICE_NAME: 
2025-11-03T18:29:13.9051302Z   DEVICE_TYPE: 
2025-11-03T18:29:13.9051910Z   FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_54383846930
2025-11-03T18:29:13.9052728Z ##[endgroup]
2025-11-03T18:29:13.9245375Z   adding: usage_log.txt (deflated 96%)
2025-11-03T18:29:13.9263798Z 
2025-11-03T18:29:13.9264246Z zip error: Nothing to do! (logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_54383846930.zip)
2025-11-03T18:29:13.9318292Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-11-03T18:29:13.9318778Z # Remove any previous debugging artifacts if they exist
2025-11-03T18:29:13.9319347Z rm -f debug-*.zip
2025-11-03T18:29:13.9319618Z if [ -d 'test/debug' ]; then
2025-11-03T18:29:13.9319943Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-11-03T18:29:13.9320264Z fi
2025-11-03T18:29:13.9328692Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:29:13.9329051Z env:
2025-11-03T18:29:13.9329253Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:13.9329566Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:13.9330097Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:13.9330575Z   DEVICE_NAME: 
2025-11-03T18:29:13.9330779Z   DEVICE_TYPE: 
2025-11-03T18:29:13.9331595Z   FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_54383846930
2025-11-03T18:29:13.9332109Z ##[endgroup]
2025-11-03T18:29:13.9586440Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T18:29:13.9586748Z with:
2025-11-03T18:29:13.9586960Z   s3-bucket: gha-artifacts
2025-11-03T18:29:13.9587280Z   s3-prefix: pytorch/pytorch/19040285537/1/artifact

2025-11-03T18:29:13.9587613Z   retention-days: 14
2025-11-03T18:29:13.9587855Z   if-no-files-found: warn
2025-11-03T18:29:13.9588105Z   path: test-jsons-*.zip
2025-11-03T18:29:13.9588346Z   name: artifact
2025-11-03T18:29:13.9588567Z   region: us-east-1
2025-11-03T18:29:13.9588779Z env:
2025-11-03T18:29:13.9588977Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:13.9589295Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:13.9589825Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:13.9590295Z   DEVICE_NAME: 
2025-11-03T18:29:13.9590497Z   DEVICE_TYPE: 
2025-11-03T18:29:13.9590708Z ##[endgroup]
2025-11-03T18:29:14.3501504Z NOTE: s3-prefix specified, ignoring name parameter
2025-11-03T18:29:14.3501948Z With the provided path, there will be 1 file uploaded
2025-11-03T18:29:14.3502392Z Uploading to s3 prefix: pytorch/pytorch/19040285537/1/artifact
2025-11-03T18:29:14.3576102Z Starting upload of test-jsons-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_54383846930.zip
2025-11-03T18:29:14.4770795Z Finished upload of test-jsons-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_54383846930.zip
2025-11-03T18:29:14.5074459Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T18:29:14.5074779Z with:
2025-11-03T18:29:14.5074994Z   s3-bucket: gha-artifacts
2025-11-03T18:29:14.5075309Z   s3-prefix: pytorch/pytorch/19040285537/1/artifact

2025-11-03T18:29:14.5075649Z   retention-days: 14
2025-11-03T18:29:14.5075899Z   if-no-files-found: error
2025-11-03T18:29:14.5076177Z   path: test-reports-*.zip
2025-11-03T18:29:14.5076429Z   name: artifact
2025-11-03T18:29:14.5076873Z   region: us-east-1
2025-11-03T18:29:14.5077099Z env:
2025-11-03T18:29:14.5077311Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:14.5077637Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:14.5078174Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:14.5078659Z   DEVICE_NAME: 
2025-11-03T18:29:14.5078882Z   DEVICE_TYPE: 
2025-11-03T18:29:14.5079094Z ##[endgroup]
2025-11-03T18:29:14.8616412Z NOTE: s3-prefix specified, ignoring name parameter
2025-11-03T18:29:14.8616841Z With the provided path, there will be 1 file uploaded
2025-11-03T18:29:14.8617266Z Uploading to s3 prefix: pytorch/pytorch/19040285537/1/artifact
2025-11-03T18:29:14.8688856Z Starting upload of test-reports-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_54383846930.zip
2025-11-03T18:29:15.0136761Z Finished upload of test-reports-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_54383846930.zip
2025-11-03T18:29:15.0439877Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T18:29:15.0440193Z with:
2025-11-03T18:29:15.0440402Z   s3-bucket: gha-artifacts
2025-11-03T18:29:15.0440711Z   s3-prefix: pytorch/pytorch/19040285537/1/artifact

2025-11-03T18:29:15.0441046Z   retention-days: 14
2025-11-03T18:29:15.0441278Z   if-no-files-found: ignore
2025-11-03T18:29:15.0441741Z   path: logs-*.zip
2025-11-03T18:29:15.0441959Z   name: artifact
2025-11-03T18:29:15.0442173Z   region: us-east-1
2025-11-03T18:29:15.0442375Z env:
2025-11-03T18:29:15.0442575Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:15.0442899Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:15.0443433Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:15.0443900Z   DEVICE_NAME: 
2025-11-03T18:29:15.0444105Z   DEVICE_TYPE: 
2025-11-03T18:29:15.0444306Z ##[endgroup]
2025-11-03T18:29:15.3768301Z NOTE: s3-prefix specified, ignoring name parameter
2025-11-03T18:29:15.3768782Z With the provided path, there will be 1 file uploaded
2025-11-03T18:29:15.3769214Z Uploading to s3 prefix: pytorch/pytorch/19040285537/1/artifact
2025-11-03T18:29:15.3841009Z Starting upload of logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_54383846930.zip
2025-11-03T18:29:15.5285112Z Finished upload of logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_54383846930.zip
2025-11-03T18:29:15.5606435Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T18:29:15.5606759Z with:
2025-11-03T18:29:15.5606974Z   s3-bucket: gha-artifacts
2025-11-03T18:29:15.5607283Z   s3-prefix: pytorch/pytorch/19040285537/1/artifact

2025-11-03T18:29:15.5607623Z   retention-days: 14
2025-11-03T18:29:15.5607874Z   if-no-files-found: ignore
2025-11-03T18:29:15.5608130Z   path: debug-*.zip
2025-11-03T18:29:15.5608351Z   name: artifact
2025-11-03T18:29:15.5608572Z   region: us-east-1
2025-11-03T18:29:15.5608785Z env:
2025-11-03T18:29:15.5608978Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:15.5609314Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:15.5609858Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:15.5610340Z   DEVICE_NAME: 
2025-11-03T18:29:15.5610550Z   DEVICE_TYPE: 
2025-11-03T18:29:15.5610762Z ##[endgroup]
2025-11-03T18:29:15.8923897Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-11-03T18:29:15.9225602Z ##[group]Run # shellcheck disable=SC2156
2025-11-03T18:29:15.9225965Z # shellcheck disable=SC2156
2025-11-03T18:29:15.9226522Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-11-03T18:29:15.9236346Z shell: /usr/bin/bash -e {0}
2025-11-03T18:29:15.9236617Z env:
2025-11-03T18:29:15.9236835Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:15.9237159Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:15.9237698Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:15.9238192Z   DEVICE_NAME: 
2025-11-03T18:29:15.9238424Z   DEVICE_TYPE: 
2025-11-03T18:29:15.9238686Z ##[endgroup]
2025-11-03T18:29:16.3322138Z Prepare all required actions
2025-11-03T18:29:16.3322509Z Getting action download info
2025-11-03T18:29:16.4848729Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-11-03T18:29:16.4849134Z with:
2025-11-03T18:29:16.4849341Z   job_id: 54383846930
2025-11-03T18:29:16.4849752Z   job_name: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-11-03T18:29:16.4850229Z   workflow_name: inductor
2025-11-03T18:29:16.4850475Z   workflow_run_id: 19040285537
2025-11-03T18:29:16.4850743Z   workflow_attempt: 1
2025-11-03T18:29:16.4850974Z env:
2025-11-03T18:29:16.4851165Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:16.4851483Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:16.4852017Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:16.4852573Z   DEVICE_NAME: 
2025-11-03T18:29:16.4852790Z   DEVICE_TYPE: 
2025-11-03T18:29:16.4852996Z ##[endgroup]
2025-11-03T18:29:16.4918195Z ##[group]Run echo "workflow_id: 19040285537"
2025-11-03T18:29:16.4918537Z echo "workflow_id: 19040285537"
2025-11-03T18:29:16.4918873Z echo "workflow_attempt: 1"
2025-11-03T18:29:16.4919381Z echo "workflow_Name: inductor"
2025-11-03T18:29:16.4919683Z echo "job_id: 54383846930"
2025-11-03T18:29:16.4920194Z echo "job_name:  inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)"
2025-11-03T18:29:16.4920730Z echo "artifact_prefix: "
2025-11-03T18:29:16.4921020Z python3 --version
2025-11-03T18:29:16.4929976Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:29:16.4930330Z env:
2025-11-03T18:29:16.4930531Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:16.4930830Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:16.4931588Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:16.4932062Z   DEVICE_NAME: 
2025-11-03T18:29:16.4932324Z   DEVICE_TYPE: 
2025-11-03T18:29:16.4932522Z ##[endgroup]
2025-11-03T18:29:16.4962865Z workflow_id: 19040285537
2025-11-03T18:29:16.4963146Z workflow_attempt: 1
2025-11-03T18:29:16.4963384Z workflow_Name: inductor
2025-11-03T18:29:16.4963617Z job_id: 54383846930
2025-11-03T18:29:16.4964020Z job_name:  inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-11-03T18:29:16.4964488Z artifact_prefix: 
2025-11-03T18:29:16.4977992Z Python 3.9.23
2025-11-03T18:29:16.5028939Z ##[group]Run nick-fields/retry@v3.0.0
2025-11-03T18:29:16.5029256Z with:
2025-11-03T18:29:16.5029450Z   shell: bash
2025-11-03T18:29:16.5029654Z   timeout_minutes: 5
2025-11-03T18:29:16.5029880Z   max_attempts: 5
2025-11-03T18:29:16.5030107Z   retry_wait_seconds: 30
2025-11-03T18:29:16.5030626Z   command: set -eu
python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7

2025-11-03T18:29:16.5031429Z   polling_interval_seconds: 1
2025-11-03T18:29:16.5031719Z   warning_on_retry: true
2025-11-03T18:29:16.5031965Z   continue_on_error: false
2025-11-03T18:29:16.5032213Z env:
2025-11-03T18:29:16.5032404Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:16.5032725Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:16.5033261Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:16.5033739Z   DEVICE_NAME: 
2025-11-03T18:29:16.5033946Z   DEVICE_TYPE: 
2025-11-03T18:29:16.5034152Z ##[endgroup]
2025-11-03T18:29:16.8557218Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T18:29:16.9398000Z Collecting python-dateutil==2.8.2
2025-11-03T18:29:16.9573181Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-11-03T18:29:18.1223540Z Collecting boto3==1.35.42
2025-11-03T18:29:18.1265870Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-11-03T18:29:18.7542667Z Collecting pandas==2.1.3
2025-11-03T18:29:18.7585483Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-11-03T18:29:18.9252099Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-11-03T18:29:18.9267478Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-11-03T18:29:18.9314032Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99)
2025-11-03T18:29:18.9318963Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4)
2025-11-03T18:29:18.9321944Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0)
2025-11-03T18:29:19.0341876Z Collecting tzdata>=2022.1
2025-11-03T18:29:19.0380172Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-11-03T18:29:19.0508711Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-11-03T18:29:20.0684276Z Collecting numpy<2,>=1.22.4
2025-11-03T18:29:20.0726108Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-11-03T18:29:20.2839327Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0)
2025-11-03T18:29:20.2841310Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1)
2025-11-03T18:29:20.2930623Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10)
2025-11-03T18:29:20.3029343Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0)
2025-11-03T18:29:20.3140323Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0)
2025-11-03T18:29:20.3143435Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0)
2025-11-03T18:29:20.6497406Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3
2025-11-03T18:29:25.9088972Z   Attempting uninstall: boto3
2025-11-03T18:29:25.9089861Z     Found existing installation: boto3 1.35.33
2025-11-03T18:29:25.9224440Z     Uninstalling boto3-1.35.33:
2025-11-03T18:29:25.9241058Z       Successfully uninstalled boto3-1.35.33
2025-11-03T18:29:26.0483636Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-11-03T18:29:26.5900744Z Command completed after 1 attempt(s).
2025-11-03T18:29:26.6082159Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-11-03T18:29:26.6086680Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-11-03T18:29:26.6087184Z   --workflow-run-id "19040285537" \
2025-11-03T18:29:26.6087513Z   --workflow-name "inductor" \
2025-11-03T18:29:26.6087834Z   --workflow-run-attempt "1" \
2025-11-03T18:29:26.6088140Z   --job-id "54383846930" \
2025-11-03T18:29:26.6088636Z   --job-name "inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)" \
2025-11-03T18:29:26.6089148Z   --local-path "" \
2025-11-03T18:29:26.6089429Z   --artifact-prefix ""
2025-11-03T18:29:26.6098551Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:29:26.6098912Z env:
2025-11-03T18:29:26.6099109Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:26.6099424Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:26.6100200Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:26.6100680Z   DEVICE_NAME: 
2025-11-03T18:29:26.6100885Z   DEVICE_TYPE: 
2025-11-03T18:29:26.6101095Z ##[endgroup]
2025-11-03T18:29:29.2132664Z repo: pytorch/pytorch
2025-11-03T18:29:29.2133100Z Search for test log in s3 bucket: ossci-utilization
2025-11-03T18:29:29.2133668Z Downloading logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_54383846930.zip
2025-11-03T18:29:29.2134485Z extracting usage_log.txt from zip file logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_54383846930.zip
2025-11-03T18:29:29.2135111Z Converted Log Model: UtilizationMetadata:
2025-11-03T18:29:29.2136485Z  UtilizationMetadata(level='metadata', workflow_id='19040285537', job_id='54383846930', workflow_name='inductor', job_name='inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1762190562, gpu_count=1, cpu_count=16, gpu_type='pynvml', error=None)
2025-11-03T18:29:29.2137913Z [Db Segments] detected pytest cmd: 21, generated segments: 21
2025-11-03T18:29:29.2138298Z [db model] Peek db timeseries 
2025-11-03T18:29:29.2138937Z :{
2025-11-03T18:29:29.2139137Z     "created_at": 1762194568,
2025-11-03T18:29:29.2139396Z     "type": "utilization",
2025-11-03T18:29:29.2139631Z     "tags": [
2025-11-03T18:29:29.2139819Z         "record"
2025-11-03T18:29:29.2140018Z     ],
2025-11-03T18:29:29.2140210Z     "time_stamp": 1762190562,
2025-11-03T18:29:29.2140467Z     "repo": "pytorch/pytorch",
2025-11-03T18:29:29.2140722Z     "workflow_id": 19040285537,
2025-11-03T18:29:29.2140977Z     "run_attempt": 1,
2025-11-03T18:29:29.2141200Z     "job_id": 54383846930,
2025-11-03T18:29:29.2141447Z     "workflow_name": "inductor",
2025-11-03T18:29:29.2141902Z     "job_name": "inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)",
2025-11-03T18:29:29.2142375Z     "json_data": "{}"
2025-11-03T18:29:29.2142595Z }
2025-11-03T18:29:29.2143073Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/19040285537/1/54383846930/metadata
2025-11-03T18:29:29.2143952Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/19040285537/1/54383846930/metadata 
2025-11-03T18:29:29.2144871Z Writing 797 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/19040285537/1/54383846930/time_series
2025-11-03T18:29:29.2145802Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/19040285537/1/54383846930/time_series 
2025-11-03T18:29:29.3432498Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-11-03T18:29:29.3432925Z with:
2025-11-03T18:29:29.3433108Z env:
2025-11-03T18:29:29.3433309Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:29.3433627Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:29.3434159Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:29.3445159Z   DEVICE_NAME: 
2025-11-03T18:29:29.3445388Z   DEVICE_TYPE: 
2025-11-03T18:29:29.3445596Z ##[endgroup]
2025-11-03T18:29:29.3549694Z ##[group]Run set -eou pipefail
2025-11-03T18:29:29.3550009Z set -eou pipefail
2025-11-03T18:29:29.3550249Z 
2025-11-03T18:29:29.3550587Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-11-03T18:29:29.3551023Z for _ in $(seq 1440); do
2025-11-03T18:29:29.3551322Z     # Break if no ssh session exists anymore
2025-11-03T18:29:29.3551674Z     if [ "$(who)" = "" ]; then
2025-11-03T18:29:29.3551959Z       break
2025-11-03T18:29:29.3552167Z     fi
2025-11-03T18:29:29.3552371Z     echo "."
2025-11-03T18:29:29.3552598Z     sleep 5
2025-11-03T18:29:29.3552808Z done
2025-11-03T18:29:29.3561696Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:29:29.3562048Z env:
2025-11-03T18:29:29.3562247Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:29.3562560Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:29.3563086Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:29.3563573Z   DEVICE_NAME: 
2025-11-03T18:29:29.3563780Z   DEVICE_TYPE: 
2025-11-03T18:29:29.3563991Z ##[endgroup]
2025-11-03T18:29:29.3595125Z Holding runner for 2 hours until all ssh sessions have logged out
2025-11-03T18:29:29.4198958Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T18:29:29.4199515Z # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T18:29:29.4199926Z # shellcheck disable=SC2046
2025-11-03T18:29:29.4200245Z docker stop $(docker ps -q) || true
2025-11-03T18:29:29.4200564Z # Prune all of the docker images
2025-11-03T18:29:29.4200875Z docker system prune -af
2025-11-03T18:29:29.4209901Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:29:29.4210259Z env:
2025-11-03T18:29:29.4210456Z   GIT_DEFAULT_BRANCH: main
2025-11-03T18:29:29.4210774Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-11-03T18:29:29.4211506Z   DOCKER_CONTAINER_ID: 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:29.4211980Z   DEVICE_NAME: 
2025-11-03T18:29:29.4212190Z   DEVICE_TYPE: 
2025-11-03T18:29:29.4212489Z ##[endgroup]
2025-11-03T18:29:41.1968330Z 19b570e6190c
2025-11-03T18:29:46.8223657Z Deleted Containers:
2025-11-03T18:29:46.8224227Z 19b570e6190c407278f36d8cf992aa224c398d2124fb7c078f57620ee23495fe
2025-11-03T18:29:46.8224663Z 
2025-11-03T18:30:07.0313343Z Deleted Images:
2025-11-03T18:30:07.0314542Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T18:30:07.0316279Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:b5b3debff728325c946fa42c60db7c9dd1e69885bde1d55d35bb37153932c16a
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2025-11-03T18:30:07.0502477Z Post job cleanup.
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2025-11-03T18:30:07.1609263Z [command]/usr/bin/git version
2025-11-03T18:30:07.1658604Z git version 2.50.1
2025-11-03T18:30:07.1697001Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/1695e65c-f0cf-496f-8e92-6c2c45b94b96/.gitconfig'
2025-11-03T18:30:07.1707365Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/1695e65c-f0cf-496f-8e92-6c2c45b94b96' before making global git config changes
2025-11-03T18:30:07.1708403Z Adding repository directory to the temporary git global config as a safe directory
2025-11-03T18:30:07.1713009Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T18:30:07.1773814Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-11-03T18:30:07.1823635Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
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2025-11-03T18:30:07.9009441Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
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2025-11-03T18:30:08.3996200Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T18:30:08.4047595Z http.https://github.com/.extraheader
2025-11-03T18:30:08.4101249Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T18:30:08.4153394Z http.https://github.com/.extraheader
2025-11-03T18:30:08.4206172Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T18:30:08.4257766Z http.https://github.com/.extraheader
2025-11-03T18:30:08.4309421Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T18:30:08.4362325Z http.https://github.com/.extraheader
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2025-11-03T18:30:08.4467195Z http.https://github.com/.extraheader
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2025-11-03T18:30:08.4574661Z http.https://github.com/.extraheader
2025-11-03T18:30:08.4635178Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T18:30:08.4688877Z http.https://github.com/.extraheader
2025-11-03T18:30:08.4738558Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T18:30:08.4793957Z http.https://github.com/.extraheader
2025-11-03T18:30:08.4848573Z Entering 'third_party/kleidiai'
2025-11-03T18:30:08.4901274Z http.https://github.com/.extraheader
2025-11-03T18:30:08.4952463Z Entering 'third_party/mimalloc'
2025-11-03T18:30:08.5004567Z http.https://github.com/.extraheader
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2025-11-03T18:30:08.5111394Z http.https://github.com/.extraheader
2025-11-03T18:30:08.5165011Z Entering 'third_party/onnx'
2025-11-03T18:30:08.5221851Z http.https://github.com/.extraheader
2025-11-03T18:30:08.5289851Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T18:30:08.5342523Z http.https://github.com/.extraheader
2025-11-03T18:30:08.5398571Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T18:30:08.5453308Z http.https://github.com/.extraheader
2025-11-03T18:30:08.5506887Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T18:30:08.5558652Z http.https://github.com/.extraheader
2025-11-03T18:30:08.5608205Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T18:30:08.5660941Z http.https://github.com/.extraheader
2025-11-03T18:30:08.5710928Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T18:30:08.5762812Z http.https://github.com/.extraheader
2025-11-03T18:30:08.5822092Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T18:30:08.5863939Z http.https://github.com/.extraheader
2025-11-03T18:30:08.5914664Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T18:30:08.5965895Z http.https://github.com/.extraheader
2025-11-03T18:30:08.6015838Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T18:30:08.6069283Z http.https://github.com/.extraheader
2025-11-03T18:30:08.6121098Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T18:30:08.6172771Z http.https://github.com/.extraheader
2025-11-03T18:30:08.6219121Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T18:30:08.6270950Z http.https://github.com/.extraheader
2025-11-03T18:30:08.6324443Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T18:30:08.6374973Z http.https://github.com/.extraheader
2025-11-03T18:30:08.6430187Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T18:30:08.6482398Z http.https://github.com/.extraheader
2025-11-03T18:30:08.6556272Z Entering 'third_party/pocketfft'
2025-11-03T18:30:08.6611260Z http.https://github.com/.extraheader
2025-11-03T18:30:08.6664262Z Entering 'third_party/protobuf'
2025-11-03T18:30:08.6716299Z http.https://github.com/.extraheader
2025-11-03T18:30:08.6770558Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T18:30:08.6822087Z http.https://github.com/.extraheader
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2025-11-03T18:30:08.6923859Z http.https://github.com/.extraheader
2025-11-03T18:30:08.6978522Z Entering 'third_party/psimd'
2025-11-03T18:30:08.7030478Z http.https://github.com/.extraheader
2025-11-03T18:30:08.7081657Z Entering 'third_party/pthreadpool'
2025-11-03T18:30:08.7135355Z http.https://github.com/.extraheader
2025-11-03T18:30:08.7185447Z Entering 'third_party/pybind11'
2025-11-03T18:30:08.7238334Z http.https://github.com/.extraheader
2025-11-03T18:30:08.7288509Z Entering 'third_party/python-peachpy'
2025-11-03T18:30:08.7341081Z http.https://github.com/.extraheader
2025-11-03T18:30:08.7391606Z Entering 'third_party/sleef'
2025-11-03T18:30:08.7443236Z http.https://github.com/.extraheader
2025-11-03T18:30:08.7494450Z Entering 'third_party/tensorpipe'
2025-11-03T18:30:08.7547926Z http.https://github.com/.extraheader
2025-11-03T18:30:08.7600128Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T18:30:08.7654751Z http.https://github.com/.extraheader
2025-11-03T18:30:08.7705062Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T18:30:08.7756095Z http.https://github.com/.extraheader
2025-11-03T18:30:08.7805075Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T18:30:08.7857020Z http.https://github.com/.extraheader
2025-11-03T18:30:08.7906255Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T18:30:08.7957499Z http.https://github.com/.extraheader
2025-11-03T18:30:08.8004013Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T18:30:08.8056417Z http.https://github.com/.extraheader
2025-11-03T18:30:08.8234273Z A job completed hook has been configured by the self-hosted runner administrator
2025-11-03T18:30:08.8266683Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-11-03T18:30:08.8274820Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T18:30:08.8275201Z ##[endgroup]
2025-11-03T18:30:16.9810638Z Cleaning up orphan processes