2025-08-14T22:29:59.9255956Z Current runner version: '2.328.0'
2025-08-14T22:29:59.9261862Z Runner name: 'i-01122f98913b6cb8e'
2025-08-14T22:29:59.9262635Z Runner group name: 'default'
2025-08-14T22:29:59.9263525Z Machine name: 'ip-10-0-24-162'
2025-08-14T22:29:59.9266329Z ##[group]GITHUB_TOKEN Permissions
2025-08-14T22:29:59.9268591Z Contents: read
2025-08-14T22:29:59.9269114Z Metadata: read
2025-08-14T22:29:59.9269606Z ##[endgroup]
2025-08-14T22:29:59.9271569Z Secret source: Actions
2025-08-14T22:29:59.9272232Z Prepare workflow directory
2025-08-14T22:29:59.9783832Z Prepare all required actions
2025-08-14T22:29:59.9821162Z Getting action download info
2025-08-14T22:30:00.2396092Z Download action repository 'pytorch/test-infra@main' (SHA:a07e5d98fab9986e2426a1520fae86184b9b6d4f)
2025-08-14T22:30:01.1770201Z Download action repository 'pytorch/pytorch@main' (SHA:3650989e6e19d8a3d134c22ae7c4659bf8c93785)
2025-08-14T22:30:16.2118855Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-08-14T22:30:16.5398757Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-08-14T22:30:16.7975482Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-08-14T22:30:16.9654995Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-14T22:30:17.2709260Z Getting action download info
2025-08-14T22:30:17.3686510Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-08-14T22:30:17.6384006Z Getting action download info
2025-08-14T22:30:17.7429178Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-08-14T22:30:18.0095455Z Getting action download info
2025-08-14T22:30:18.1048198Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-08-14T22:30:18.3264289Z Getting action download info
2025-08-14T22:30:18.4684936Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2)
2025-08-14T22:30:18.4688704Z ##[group] Inputs
2025-08-14T22:30:18.4689070Z   build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-08-14T22:30:18.4692532Z   test-matrix: {"include": [{"config": "dynamic_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}
2025-08-14T22:30:18.4696730Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:30:18.4697639Z   sync-tag: 
2025-08-14T22:30:18.4698385Z   timeout-minutes: 240
2025-08-14T22:30:18.4698625Z   use-gha: 
2025-08-14T22:30:18.4698821Z   dashboard-tag: 
2025-08-14T22:30:18.4699357Z   s3-bucket: gha-artifacts
2025-08-14T22:30:18.4699773Z   aws-role-to-assume: 
2025-08-14T22:30:18.4700308Z   disable-monitor: false
2025-08-14T22:30:18.4700589Z   monitor-log-interval: 5
2025-08-14T22:30:18.4700867Z   monitor-data-collect-interval: 1
2025-08-14T22:30:18.4701149Z ##[endgroup]
2025-08-14T22:30:18.4701631Z Complete job name: cuda12.8-py3.10-gcc9-sm86 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-14T22:30:18.5359220Z A job started hook has been configured by the self-hosted runner administrator
2025-08-14T22:30:18.5458368Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-08-14T22:30:18.5469522Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:30:18.5470098Z ##[endgroup]
2025-08-14T22:30:19.9121811Z Runner Type: linux.g5.4xlarge.nvidia.gpu
2025-08-14T22:30:19.9122265Z Instance Type: g5.4xlarge
2025-08-14T22:30:19.9122510Z AMI Name: unknown
2025-08-14T22:30:19.9167960Z AMI ID: ami-05ffe3c48a9991133
2025-08-14T22:30:25.4220705Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-08-14T22:30:25.4221118Z with:
2025-08-14T22:30:25.4221611Z   github-secret: ***
2025-08-14T22:30:25.4222252Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-08-14T22:30:25.4222939Z   activate-with-label: false
2025-08-14T22:30:25.4223191Z   label: with-ssh
2025-08-14T22:30:25.4223422Z   remove-existing-keys: true
2025-08-14T22:30:25.4223672Z   fail-silently: true
2025-08-14T22:30:25.4223944Z env:
2025-08-14T22:30:25.4224137Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:30:25.4224370Z ##[endgroup]
2025-08-14T22:30:25.5592323Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-08-14T22:30:25.5593362Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-08-14T22:30:25.5757236Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-08-14T22:30:25.5757671Z with:
2025-08-14T22:30:25.5757880Z   no-sudo: true
2025-08-14T22:30:25.5758102Z   submodules: recursive
2025-08-14T22:30:25.5758354Z   fetch-depth: 0
2025-08-14T22:30:25.5758569Z env:
2025-08-14T22:30:25.5758774Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:30:25.5759015Z ##[endgroup]
2025-08-14T22:30:25.5829324Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T22:30:25.5830202Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T22:30:25.5842304Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:30:25.5842656Z env:
2025-08-14T22:30:25.5842886Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:30:25.5843151Z ##[endgroup]
2025-08-14T22:30:25.5952342Z ##[group]Run # Use all available CPUs for fetching
2025-08-14T22:30:25.5952760Z # Use all available CPUs for fetching
2025-08-14T22:30:25.5953105Z cd "${GITHUB_WORKSPACE}"
2025-08-14T22:30:25.5953429Z git config --global fetch.parallel 0
2025-08-14T22:30:25.5953797Z git config --global submodule.fetchJobs 0
2025-08-14T22:30:25.5954114Z 
2025-08-14T22:30:25.5954521Z # Clean workspace. The default checkout action should also do this, but
2025-08-14T22:30:25.5954989Z # do it here as well just in case
2025-08-14T22:30:25.5955301Z if [[ -d .git ]]; then
2025-08-14T22:30:25.5955586Z   if [ -z "${NO_SUDO}" ]; then
2025-08-14T22:30:25.5955887Z     sudo git clean -ffdx
2025-08-14T22:30:25.5956162Z   else
2025-08-14T22:30:25.5956398Z     git clean -ffdx
2025-08-14T22:30:25.5956648Z   fi
2025-08-14T22:30:25.5956856Z fi
2025-08-14T22:30:25.5967646Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:30:25.5967997Z env:
2025-08-14T22:30:25.5968204Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:30:25.5968636Z   NO_SUDO: true
2025-08-14T22:30:25.5968844Z ##[endgroup]
2025-08-14T22:30:25.6098901Z ##[group]Run actions/checkout@v4
2025-08-14T22:30:25.6099197Z with:
2025-08-14T22:30:25.6099446Z   ref: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:30:25.6099767Z   fetch-depth: 0
2025-08-14T22:30:25.6100000Z   submodules: recursive
2025-08-14T22:30:25.6100260Z   show-progress: false
2025-08-14T22:30:25.6100528Z   repository: pytorch/pytorch
2025-08-14T22:30:25.6100904Z   token: ***
2025-08-14T22:30:25.6101122Z   ssh-strict: true
2025-08-14T22:30:25.6101353Z   ssh-user: git
2025-08-14T22:30:25.6101594Z   persist-credentials: true
2025-08-14T22:30:25.6101849Z   clean: true
2025-08-14T22:30:25.6102095Z   sparse-checkout-cone-mode: true
2025-08-14T22:30:25.6102389Z   fetch-tags: false
2025-08-14T22:30:25.6102613Z   lfs: false
2025-08-14T22:30:25.6102841Z   set-safe-directory: true
2025-08-14T22:30:25.6103105Z env:
2025-08-14T22:30:25.6103310Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:30:25.6103572Z ##[endgroup]
2025-08-14T22:30:25.7278014Z Syncing repository: pytorch/pytorch
2025-08-14T22:30:25.7279221Z ##[group]Getting Git version info
2025-08-14T22:30:25.7279664Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-14T22:30:25.7280272Z [command]/usr/bin/git version
2025-08-14T22:30:25.7618069Z git version 2.47.1
2025-08-14T22:30:25.7648064Z ##[endgroup]
2025-08-14T22:30:25.7658017Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/10663975-9d94-4937-b2e9-1bbaad4fa77b/.gitconfig'
2025-08-14T22:30:25.7682149Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/10663975-9d94-4937-b2e9-1bbaad4fa77b' before making global git config changes
2025-08-14T22:30:25.7683059Z Adding repository directory to the temporary git global config as a safe directory
2025-08-14T22:30:25.7687247Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T22:30:25.7738445Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-14T22:30:25.7741825Z ##[group]Initializing the repository
2025-08-14T22:30:25.7745828Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T22:30:25.7809602Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-08-14T22:30:25.7810283Z hint: is subject to change. To configure the initial branch name to use in all
2025-08-14T22:30:25.7810825Z hint: of your new repositories, which will suppress this warning, call:
2025-08-14T22:30:25.7811220Z hint:
2025-08-14T22:30:25.7811510Z hint: 	git config --global init.defaultBranch <name>
2025-08-14T22:30:25.7811846Z hint:
2025-08-14T22:30:25.7812165Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-08-14T22:30:25.7812712Z hint: 'development'. The just-created branch can be renamed via this command:
2025-08-14T22:30:25.7813338Z hint:
2025-08-14T22:30:25.7813542Z hint: 	git branch -m <name>
2025-08-14T22:30:25.7823327Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-08-14T22:30:25.7834930Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-08-14T22:30:25.7879736Z ##[endgroup]
2025-08-14T22:30:25.7880173Z ##[group]Disabling automatic garbage collection
2025-08-14T22:30:25.7883636Z [command]/usr/bin/git config --local gc.auto 0
2025-08-14T22:30:25.7917793Z ##[endgroup]
2025-08-14T22:30:25.7918552Z ##[group]Setting up auth
2025-08-14T22:30:25.7923278Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-14T22:30:25.7957552Z [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' || :"
2025-08-14T22:30:25.8380010Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-14T22:30:25.8413833Z [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' || :"
2025-08-14T22:30:25.8810959Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-14T22:30:25.8874040Z ##[endgroup]
2025-08-14T22:30:25.8874726Z ##[group]Fetching the repository
2025-08-14T22:30:25.8882382Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-08-14T22:31:13.1708193Z From https://github.com/pytorch/pytorch
2025-08-14T22:31:13.1709032Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-08-14T22:31:13.1709538Z  * [new branch]              5addvllmbuild               -> origin/5addvllmbuild
2025-08-14T22:31:13.1710191Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-08-14T22:31:13.1710972Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-08-14T22:31:13.1713797Z  * [new branch]              JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops
2025-08-14T22:31:13.1715837Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-08-14T22:31:13.1718061Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-08-14T22:31:13.1719937Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-08-14T22:31:13.1721772Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-08-14T22:31:13.1723680Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-08-14T22:31:13.1725845Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-08-14T22:31:13.1727095Z  * [new branch]              add-missing-args-normalization -> origin/add-missing-args-normalization
2025-08-14T22:31:13.1729393Z  * [new branch]              add-user-guide-structure    -> origin/add-user-guide-structure
2025-08-14T22:31:13.1731262Z  * [new branch]              addVllmPin                  -> origin/addVllmPin
2025-08-14T22:31:13.1733292Z  * [new branch]              add_windows_testing_back    -> origin/add_windows_testing_back
2025-08-14T22:31:13.1735332Z  * [new branch]              addbuildvllm                -> origin/addbuildvllm
2025-08-14T22:31:13.1737703Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-08-14T22:31:13.1739918Z  * [new branch]              addsimde                    -> origin/addsimde
2025-08-14T22:31:13.1741783Z  * [new branch]              addvllpinnedfile            -> origin/addvllpinnedfile
2025-08-14T22:31:13.1744780Z  * [new branch]              adi/acl_upgrade             -> origin/adi/acl_upgrade
2025-08-14T22:31:13.1746601Z  * [new branch]              adi/skip_slow_tests         -> origin/adi/skip_slow_tests
2025-08-14T22:31:13.1748497Z  * [new branch]              adi/test                    -> origin/adi/test
2025-08-14T22:31:13.1750376Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-08-14T22:31:13.1752121Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-08-14T22:31:13.1753887Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-08-14T22:31:13.1755642Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-08-14T22:31:13.1757499Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-08-14T22:31:13.1759589Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-08-14T22:31:13.1762960Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-08-14T22:31:13.1764497Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-08-14T22:31:13.1766757Z  * [new branch]              albanD-patch-1              -> origin/albanD-patch-1
2025-08-14T22:31:13.1768700Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-08-14T22:31:13.1771465Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-08-14T22:31:13.1772972Z  * [new branch]              angelayi/aoti_inductor_fx   -> origin/angelayi/aoti_inductor_fx
2025-08-14T22:31:13.1792997Z  * [new branch]              angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device
2025-08-14T22:31:13.1793746Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-08-14T22:31:13.1794352Z  * [new branch]              angelayi/benchmark2         -> origin/angelayi/benchmark2
2025-08-14T22:31:13.1795156Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-08-14T22:31:13.1795909Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-08-14T22:31:13.1796506Z  * [new branch]              angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph
2025-08-14T22:31:13.1797247Z  * [new branch]              angelayi/customop           -> origin/angelayi/customop
2025-08-14T22:31:13.1797807Z  * [new branch]              angelayi/del_lib            -> origin/angelayi/del_lib
2025-08-14T22:31:13.1798310Z  * [new branch]              angelayi/docs               -> origin/angelayi/docs
2025-08-14T22:31:13.1798993Z  * [new branch]              angelayi/docs2              -> origin/angelayi/docs2
2025-08-14T22:31:13.1799594Z  * [new branch]              angelayi/fix_pt2            -> origin/angelayi/fix_pt2
2025-08-14T22:31:13.1800332Z  * [new branch]              angelayi/logging.bak        -> origin/angelayi/logging.bak
2025-08-14T22:31:13.1801060Z  * [new branch]              angelayi/logging2           -> origin/angelayi/logging2
2025-08-14T22:31:13.1801678Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-08-14T22:31:13.1802292Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
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2025-08-14T22:31:14.2078883Z  * [new tag]                 ciflow/binaries/159869      -> ciflow/binaries/159869
2025-08-14T22:31:14.2081112Z  * [new tag]                 ciflow/binaries/160593      -> ciflow/binaries/160593
2025-08-14T22:31:14.2082816Z  * [new tag]                 ciflow/binaries_libtorch/143959 -> ciflow/binaries_libtorch/143959
2025-08-14T22:31:14.2083786Z  * [new tag]                 ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049
2025-08-14T22:31:14.2084996Z  * [new tag]                 ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432
2025-08-14T22:31:14.2086679Z  * [new tag]                 ciflow/binaries_wheel/143959 -> ciflow/binaries_wheel/143959
2025-08-14T22:31:14.2087750Z  * [new tag]                 ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049
2025-08-14T22:31:14.2088929Z  * [new tag]                 ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432
2025-08-14T22:31:14.2090487Z  * [new tag]                 ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733
2025-08-14T22:31:14.2091561Z  * [new tag]                 ciflow/binaries_wheel/160301 -> ciflow/binaries_wheel/160301
2025-08-14T22:31:14.2093127Z  * [new tag]                 ciflow/binaries_wheel/160496 -> ciflow/binaries_wheel/160496
2025-08-14T22:31:14.2095251Z  * [new tag]                 ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703
2025-08-14T22:31:14.2096866Z  * [new tag]                 ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845
2025-08-14T22:31:14.2097895Z  * [new tag]                 ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923
2025-08-14T22:31:14.2099347Z  * [new tag]                 ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635
2025-08-14T22:31:14.2100512Z  * [new tag]                 ciflow/h100-symm-mem/159118 -> ciflow/h100-symm-mem/159118
2025-08-14T22:31:14.2102082Z  * [new tag]                 ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562
2025-08-14T22:31:14.2103198Z  * [new tag]                 ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889
2025-08-14T22:31:14.2104840Z  * [new tag]                 ciflow/h100/159158          -> ciflow/h100/159158
2025-08-14T22:31:14.2106309Z  * [new tag]                 ciflow/h100/160450          -> ciflow/h100/160450
2025-08-14T22:31:14.2107769Z  * [new tag]                 ciflow/h100/160480          -> ciflow/h100/160480
2025-08-14T22:31:14.2109458Z  * [new tag]                 ciflow/h100/160614          -> ciflow/h100/160614
2025-08-14T22:31:14.2111218Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845
2025-08-14T22:31:14.2112537Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538
2025-08-14T22:31:14.2114648Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599
2025-08-14T22:31:14.2116609Z  * [new tag]                 ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406
2025-08-14T22:31:14.2117721Z  * [new tag]                 ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538
2025-08-14T22:31:14.2119349Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-08-14T22:31:14.2120359Z  * [new tag]                 ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158
2025-08-14T22:31:14.2121915Z  * [new tag]                 ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073
2025-08-14T22:31:14.2122963Z  * [new tag]                 ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538
2025-08-14T22:31:14.2124674Z  * [new tag]                 ciflow/inductor/134881      -> ciflow/inductor/134881
2025-08-14T22:31:14.2125824Z  * [new tag]                 ciflow/inductor/137400      -> ciflow/inductor/137400
2025-08-14T22:31:14.2126957Z  * [new tag]                 ciflow/inductor/144516      -> ciflow/inductor/144516
2025-08-14T22:31:14.2128169Z  * [new tag]                 ciflow/inductor/146506      -> ciflow/inductor/146506
2025-08-14T22:31:14.2129667Z  * [new tag]                 ciflow/inductor/147360      -> ciflow/inductor/147360
2025-08-14T22:31:14.2130699Z  * [new tag]                 ciflow/inductor/147990      -> ciflow/inductor/147990
2025-08-14T22:31:14.2132100Z  * [new tag]                 ciflow/inductor/148180      -> ciflow/inductor/148180
2025-08-14T22:31:14.2133161Z  * [new tag]                 ciflow/inductor/148328      -> ciflow/inductor/148328
2025-08-14T22:31:14.2134554Z  * [new tag]                 ciflow/inductor/148484      -> ciflow/inductor/148484
2025-08-14T22:31:14.2135638Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-08-14T22:31:14.2137051Z  * [new tag]                 ciflow/inductor/150302      -> ciflow/inductor/150302
2025-08-14T22:31:14.2138622Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-08-14T22:31:14.2140257Z  * [new tag]                 ciflow/inductor/152198      -> ciflow/inductor/152198
2025-08-14T22:31:14.2142010Z  * [new tag]                 ciflow/inductor/152624      -> ciflow/inductor/152624
2025-08-14T22:31:14.2143134Z  * [new tag]                 ciflow/inductor/153966      -> ciflow/inductor/153966
2025-08-14T22:31:14.2144614Z  * [new tag]                 ciflow/inductor/154193      -> ciflow/inductor/154193
2025-08-14T22:31:14.2146117Z  * [new tag]                 ciflow/inductor/154650      -> ciflow/inductor/154650
2025-08-14T22:31:14.2147222Z  * [new tag]                 ciflow/inductor/154694      -> ciflow/inductor/154694
2025-08-14T22:31:14.2148814Z  * [new tag]                 ciflow/inductor/155072      -> ciflow/inductor/155072
2025-08-14T22:31:14.2150011Z  * [new tag]                 ciflow/inductor/155152      -> ciflow/inductor/155152
2025-08-14T22:31:14.2151575Z  * [new tag]                 ciflow/inductor/155153      -> ciflow/inductor/155153
2025-08-14T22:31:14.2152742Z  * [new tag]                 ciflow/inductor/155154      -> ciflow/inductor/155154
2025-08-14T22:31:14.2154237Z  * [new tag]                 ciflow/inductor/155501      -> ciflow/inductor/155501
2025-08-14T22:31:14.2155310Z  * [new tag]                 ciflow/inductor/155502      -> ciflow/inductor/155502
2025-08-14T22:31:14.2157022Z  * [new tag]                 ciflow/inductor/155503      -> ciflow/inductor/155503
2025-08-14T22:31:14.2158564Z  * [new tag]                 ciflow/inductor/155504      -> ciflow/inductor/155504
2025-08-14T22:31:14.2159704Z  * [new tag]                 ciflow/inductor/155557      -> ciflow/inductor/155557
2025-08-14T22:31:14.2161187Z  * [new tag]                 ciflow/inductor/155608      -> ciflow/inductor/155608
2025-08-14T22:31:14.2162317Z  * [new tag]                 ciflow/inductor/155923      -> ciflow/inductor/155923
2025-08-14T22:31:14.2163811Z  * [new tag]                 ciflow/inductor/155928      -> ciflow/inductor/155928
2025-08-14T22:31:14.2165273Z  * [new tag]                 ciflow/inductor/155958      -> ciflow/inductor/155958
2025-08-14T22:31:14.2166389Z  * [new tag]                 ciflow/inductor/156049      -> ciflow/inductor/156049
2025-08-14T22:31:14.2167890Z  * [new tag]                 ciflow/inductor/156851      -> ciflow/inductor/156851
2025-08-14T22:31:14.2169064Z  * [new tag]                 ciflow/inductor/156967      -> ciflow/inductor/156967
2025-08-14T22:31:14.2170554Z  * [new tag]                 ciflow/inductor/157148      -> ciflow/inductor/157148
2025-08-14T22:31:14.2172383Z  * [new tag]                 ciflow/inductor/157149      -> ciflow/inductor/157149
2025-08-14T22:31:14.2173518Z  * [new tag]                 ciflow/inductor/157152      -> ciflow/inductor/157152
2025-08-14T22:31:14.2175009Z  * [new tag]                 ciflow/inductor/157542      -> ciflow/inductor/157542
2025-08-14T22:31:14.2176344Z  * [new tag]                 ciflow/inductor/157572      -> ciflow/inductor/157572
2025-08-14T22:31:14.2177483Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-08-14T22:31:14.2178983Z  * [new tag]                 ciflow/inductor/157685      -> ciflow/inductor/157685
2025-08-14T22:31:14.2180102Z  * [new tag]                 ciflow/inductor/157686      -> ciflow/inductor/157686
2025-08-14T22:31:14.2181617Z  * [new tag]                 ciflow/inductor/157689      -> ciflow/inductor/157689
2025-08-14T22:31:14.2182741Z  * [new tag]                 ciflow/inductor/157699      -> ciflow/inductor/157699
2025-08-14T22:31:14.2184376Z  * [new tag]                 ciflow/inductor/157743      -> ciflow/inductor/157743
2025-08-14T22:31:14.2185524Z  * [new tag]                 ciflow/inductor/157944      -> ciflow/inductor/157944
2025-08-14T22:31:14.2187075Z  * [new tag]                 ciflow/inductor/157971      -> ciflow/inductor/157971
2025-08-14T22:31:14.2188458Z  * [new tag]                 ciflow/inductor/157994      -> ciflow/inductor/157994
2025-08-14T22:31:14.2189995Z  * [new tag]                 ciflow/inductor/158061      -> ciflow/inductor/158061
2025-08-14T22:31:14.2191103Z  * [new tag]                 ciflow/inductor/158091      -> ciflow/inductor/158091
2025-08-14T22:31:14.2192635Z  * [new tag]                 ciflow/inductor/158097      -> ciflow/inductor/158097
2025-08-14T22:31:14.2193738Z  * [new tag]                 ciflow/inductor/158098      -> ciflow/inductor/158098
2025-08-14T22:31:14.2195366Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-08-14T22:31:14.2196496Z  * [new tag]                 ciflow/inductor/158168      -> ciflow/inductor/158168
2025-08-14T22:31:14.2198141Z  * [new tag]                 ciflow/inductor/158250      -> ciflow/inductor/158250
2025-08-14T22:31:14.2199327Z  * [new tag]                 ciflow/inductor/158321      -> ciflow/inductor/158321
2025-08-14T22:31:14.2200750Z  * [new tag]                 ciflow/inductor/158609      -> ciflow/inductor/158609
2025-08-14T22:31:14.2201925Z  * [new tag]                 ciflow/inductor/158647      -> ciflow/inductor/158647
2025-08-14T22:31:14.2203461Z  * [new tag]                 ciflow/inductor/158914      -> ciflow/inductor/158914
2025-08-14T22:31:14.2204954Z  * [new tag]                 ciflow/inductor/158932      -> ciflow/inductor/158932
2025-08-14T22:31:14.2206080Z  * [new tag]                 ciflow/inductor/158987      -> ciflow/inductor/158987
2025-08-14T22:31:14.2207547Z  * [new tag]                 ciflow/inductor/159009      -> ciflow/inductor/159009
2025-08-14T22:31:14.2209293Z  * [new tag]                 ciflow/inductor/159010      -> ciflow/inductor/159010
2025-08-14T22:31:14.2210418Z  * [new tag]                 ciflow/inductor/159093      -> ciflow/inductor/159093
2025-08-14T22:31:14.2211866Z  * [new tag]                 ciflow/inductor/159158      -> ciflow/inductor/159158
2025-08-14T22:31:14.2213294Z  * [new tag]                 ciflow/inductor/159197      -> ciflow/inductor/159197
2025-08-14T22:31:14.2214777Z  * [new tag]                 ciflow/inductor/159274      -> ciflow/inductor/159274
2025-08-14T22:31:14.2215968Z  * [new tag]                 ciflow/inductor/159281      -> ciflow/inductor/159281
2025-08-14T22:31:14.2217435Z  * [new tag]                 ciflow/inductor/159329      -> ciflow/inductor/159329
2025-08-14T22:31:14.2218603Z  * [new tag]                 ciflow/inductor/159361      -> ciflow/inductor/159361
2025-08-14T22:31:14.2220077Z  * [new tag]                 ciflow/inductor/159365      -> ciflow/inductor/159365
2025-08-14T22:31:14.2221265Z  * [new tag]                 ciflow/inductor/159366      -> ciflow/inductor/159366
2025-08-14T22:31:14.2222730Z  * [new tag]                 ciflow/inductor/159367      -> ciflow/inductor/159367
2025-08-14T22:31:14.2223915Z  * [new tag]                 ciflow/inductor/159368      -> ciflow/inductor/159368
2025-08-14T22:31:14.2225681Z  * [new tag]                 ciflow/inductor/159473      -> ciflow/inductor/159473
2025-08-14T22:31:14.2226731Z  * [new tag]                 ciflow/inductor/159483      -> ciflow/inductor/159483
2025-08-14T22:31:14.2228216Z  * [new tag]                 ciflow/inductor/159508      -> ciflow/inductor/159508
2025-08-14T22:31:14.2229698Z  * [new tag]                 ciflow/inductor/159523      -> ciflow/inductor/159523
2025-08-14T22:31:14.2230840Z  * [new tag]                 ciflow/inductor/159678      -> ciflow/inductor/159678
2025-08-14T22:31:14.2232277Z  * [new tag]                 ciflow/inductor/159691      -> ciflow/inductor/159691
2025-08-14T22:31:14.2233832Z  * [new tag]                 ciflow/inductor/159778      -> ciflow/inductor/159778
2025-08-14T22:31:14.2235025Z  * [new tag]                 ciflow/inductor/159786      -> ciflow/inductor/159786
2025-08-14T22:31:14.2236448Z  * [new tag]                 ciflow/inductor/159817      -> ciflow/inductor/159817
2025-08-14T22:31:14.2237855Z  * [new tag]                 ciflow/inductor/159842      -> ciflow/inductor/159842
2025-08-14T22:31:14.2239322Z  * [new tag]                 ciflow/inductor/159864      -> ciflow/inductor/159864
2025-08-14T22:31:14.2240501Z  * [new tag]                 ciflow/inductor/159865      -> ciflow/inductor/159865
2025-08-14T22:31:14.2241766Z  * [new tag]                 ciflow/inductor/159869      -> ciflow/inductor/159869
2025-08-14T22:31:14.2243488Z  * [new tag]                 ciflow/inductor/159875      -> ciflow/inductor/159875
2025-08-14T22:31:14.2244649Z  * [new tag]                 ciflow/inductor/159889      -> ciflow/inductor/159889
2025-08-14T22:31:14.2246178Z  * [new tag]                 ciflow/inductor/159902      -> ciflow/inductor/159902
2025-08-14T22:31:14.2247779Z  * [new tag]                 ciflow/inductor/159923      -> ciflow/inductor/159923
2025-08-14T22:31:14.2249210Z  * [new tag]                 ciflow/inductor/159944      -> ciflow/inductor/159944
2025-08-14T22:31:14.2250369Z  * [new tag]                 ciflow/inductor/160004      -> ciflow/inductor/160004
2025-08-14T22:31:14.2251866Z  * [new tag]                 ciflow/inductor/160080      -> ciflow/inductor/160080
2025-08-14T22:31:14.2253025Z  * [new tag]                 ciflow/inductor/160108      -> ciflow/inductor/160108
2025-08-14T22:31:14.2254742Z  * [new tag]                 ciflow/inductor/160109      -> ciflow/inductor/160109
2025-08-14T22:31:14.2255882Z  * [new tag]                 ciflow/inductor/160111      -> ciflow/inductor/160111
2025-08-14T22:31:14.2257438Z  * [new tag]                 ciflow/inductor/160113      -> ciflow/inductor/160113
2025-08-14T22:31:14.2258514Z  * [new tag]                 ciflow/inductor/160127      -> ciflow/inductor/160127
2025-08-14T22:31:14.2260480Z  * [new tag]                 ciflow/inductor/160131      -> ciflow/inductor/160131
2025-08-14T22:31:14.2261655Z  * [new tag]                 ciflow/inductor/160132      -> ciflow/inductor/160132
2025-08-14T22:31:14.2263173Z  * [new tag]                 ciflow/inductor/160136      -> ciflow/inductor/160136
2025-08-14T22:31:14.2264351Z  * [new tag]                 ciflow/inductor/160138      -> ciflow/inductor/160138
2025-08-14T22:31:14.2265797Z  * [new tag]                 ciflow/inductor/160151      -> ciflow/inductor/160151
2025-08-14T22:31:14.2267000Z  * [new tag]                 ciflow/inductor/160152      -> ciflow/inductor/160152
2025-08-14T22:31:14.2268571Z  * [new tag]                 ciflow/inductor/160154      -> ciflow/inductor/160154
2025-08-14T22:31:14.2269990Z  * [new tag]                 ciflow/inductor/160156      -> ciflow/inductor/160156
2025-08-14T22:31:14.2271372Z  * [new tag]                 ciflow/inductor/160161      -> ciflow/inductor/160161
2025-08-14T22:31:14.2272854Z  * [new tag]                 ciflow/inductor/160166      -> ciflow/inductor/160166
2025-08-14T22:31:14.2274037Z  * [new tag]                 ciflow/inductor/160168      -> ciflow/inductor/160168
2025-08-14T22:31:14.2275515Z  * [new tag]                 ciflow/inductor/160174      -> ciflow/inductor/160174
2025-08-14T22:31:14.2276822Z  * [new tag]                 ciflow/inductor/160181      -> ciflow/inductor/160181
2025-08-14T22:31:14.2278300Z  * [new tag]                 ciflow/inductor/160183      -> ciflow/inductor/160183
2025-08-14T22:31:14.2279890Z  * [new tag]                 ciflow/inductor/160190      -> ciflow/inductor/160190
2025-08-14T22:31:14.2281443Z  * [new tag]                 ciflow/inductor/160198      -> ciflow/inductor/160198
2025-08-14T22:31:14.2282855Z  * [new tag]                 ciflow/inductor/160201      -> ciflow/inductor/160201
2025-08-14T22:31:14.2284279Z  * [new tag]                 ciflow/inductor/160209      -> ciflow/inductor/160209
2025-08-14T22:31:14.2285862Z  * [new tag]                 ciflow/inductor/160218      -> ciflow/inductor/160218
2025-08-14T22:31:14.2287085Z  * [new tag]                 ciflow/inductor/160239      -> ciflow/inductor/160239
2025-08-14T22:31:14.2288394Z  * [new tag]                 ciflow/inductor/160250      -> ciflow/inductor/160250
2025-08-14T22:31:14.2289848Z  * [new tag]                 ciflow/inductor/160253      -> ciflow/inductor/160253
2025-08-14T22:31:14.2290999Z  * [new tag]                 ciflow/inductor/160266      -> ciflow/inductor/160266
2025-08-14T22:31:14.2292486Z  * [new tag]                 ciflow/inductor/160282      -> ciflow/inductor/160282
2025-08-14T22:31:14.2293661Z  * [new tag]                 ciflow/inductor/160298      -> ciflow/inductor/160298
2025-08-14T22:31:14.2295101Z  * [new tag]                 ciflow/inductor/160301      -> ciflow/inductor/160301
2025-08-14T22:31:14.2296604Z  * [new tag]                 ciflow/inductor/160310      -> ciflow/inductor/160310
2025-08-14T22:31:14.2298149Z  * [new tag]                 ciflow/inductor/160323      -> ciflow/inductor/160323
2025-08-14T22:31:14.2299794Z  * [new tag]                 ciflow/inductor/160324      -> ciflow/inductor/160324
2025-08-14T22:31:14.2301276Z  * [new tag]                 ciflow/inductor/160325      -> ciflow/inductor/160325
2025-08-14T22:31:14.2302759Z  * [new tag]                 ciflow/inductor/160326      -> ciflow/inductor/160326
2025-08-14T22:31:14.2304304Z  * [new tag]                 ciflow/inductor/160327      -> ciflow/inductor/160327
2025-08-14T22:31:14.2305566Z  * [new tag]                 ciflow/inductor/160328      -> ciflow/inductor/160328
2025-08-14T22:31:14.2307230Z  * [new tag]                 ciflow/inductor/160329      -> ciflow/inductor/160329
2025-08-14T22:31:14.2308800Z  * [new tag]                 ciflow/inductor/160351      -> ciflow/inductor/160351
2025-08-14T22:31:14.2310011Z  * [new tag]                 ciflow/inductor/160353      -> ciflow/inductor/160353
2025-08-14T22:31:14.2311523Z  * [new tag]                 ciflow/inductor/160362      -> ciflow/inductor/160362
2025-08-14T22:31:14.2312653Z  * [new tag]                 ciflow/inductor/160363      -> ciflow/inductor/160363
2025-08-14T22:31:14.2314193Z  * [new tag]                 ciflow/inductor/160364      -> ciflow/inductor/160364
2025-08-14T22:31:14.2315360Z  * [new tag]                 ciflow/inductor/160365      -> ciflow/inductor/160365
2025-08-14T22:31:14.2316868Z  * [new tag]                 ciflow/inductor/160366      -> ciflow/inductor/160366
2025-08-14T22:31:14.2318281Z  * [new tag]                 ciflow/inductor/160367      -> ciflow/inductor/160367
2025-08-14T22:31:14.2319423Z  * [new tag]                 ciflow/inductor/160368      -> ciflow/inductor/160368
2025-08-14T22:31:14.2321167Z  * [new tag]                 ciflow/inductor/160369      -> ciflow/inductor/160369
2025-08-14T22:31:14.2322070Z  * [new tag]                 ciflow/inductor/160371      -> ciflow/inductor/160371
2025-08-14T22:31:14.2323604Z  * [new tag]                 ciflow/inductor/160374      -> ciflow/inductor/160374
2025-08-14T22:31:14.2324755Z  * [new tag]                 ciflow/inductor/160375      -> ciflow/inductor/160375
2025-08-14T22:31:14.2326229Z  * [new tag]                 ciflow/inductor/160377      -> ciflow/inductor/160377
2025-08-14T22:31:14.2327507Z  * [new tag]                 ciflow/inductor/160380      -> ciflow/inductor/160380
2025-08-14T22:31:14.2329228Z  * [new tag]                 ciflow/inductor/160381      -> ciflow/inductor/160381
2025-08-14T22:31:14.2330826Z  * [new tag]                 ciflow/inductor/160383      -> ciflow/inductor/160383
2025-08-14T22:31:14.2332321Z  * [new tag]                 ciflow/inductor/160394      -> ciflow/inductor/160394
2025-08-14T22:31:14.2333494Z  * [new tag]                 ciflow/inductor/160401      -> ciflow/inductor/160401
2025-08-14T22:31:14.2335029Z  * [new tag]                 ciflow/inductor/160402      -> ciflow/inductor/160402
2025-08-14T22:31:14.2336161Z  * [new tag]                 ciflow/inductor/160403      -> ciflow/inductor/160403
2025-08-14T22:31:14.2337633Z  * [new tag]                 ciflow/inductor/160424      -> ciflow/inductor/160424
2025-08-14T22:31:14.2338830Z  * [new tag]                 ciflow/inductor/160426      -> ciflow/inductor/160426
2025-08-14T22:31:14.2340583Z  * [new tag]                 ciflow/inductor/160431      -> ciflow/inductor/160431
2025-08-14T22:31:14.2341785Z  * [new tag]                 ciflow/inductor/160448      -> ciflow/inductor/160448
2025-08-14T22:31:14.2345161Z  * [new tag]                 ciflow/inductor/160450      -> ciflow/inductor/160450
2025-08-14T22:31:14.2346315Z  * [new tag]                 ciflow/inductor/160455      -> ciflow/inductor/160455
2025-08-14T22:31:14.2348087Z  * [new tag]                 ciflow/inductor/160456      -> ciflow/inductor/160456
2025-08-14T22:31:14.2349652Z  * [new tag]                 ciflow/inductor/160461      -> ciflow/inductor/160461
2025-08-14T22:31:14.2350763Z  * [new tag]                 ciflow/inductor/160462      -> ciflow/inductor/160462
2025-08-14T22:31:14.2352705Z  * [new tag]                 ciflow/inductor/160467      -> ciflow/inductor/160467
2025-08-14T22:31:14.2354106Z  * [new tag]                 ciflow/inductor/160470      -> ciflow/inductor/160470
2025-08-14T22:31:14.2355225Z  * [new tag]                 ciflow/inductor/160473      -> ciflow/inductor/160473
2025-08-14T22:31:14.2356709Z  * [new tag]                 ciflow/inductor/160476      -> ciflow/inductor/160476
2025-08-14T22:31:14.2357904Z  * [new tag]                 ciflow/inductor/160480      -> ciflow/inductor/160480
2025-08-14T22:31:14.2359554Z  * [new tag]                 ciflow/inductor/160481      -> ciflow/inductor/160481
2025-08-14T22:31:14.2360763Z  * [new tag]                 ciflow/inductor/160482      -> ciflow/inductor/160482
2025-08-14T22:31:14.2362242Z  * [new tag]                 ciflow/inductor/160483      -> ciflow/inductor/160483
2025-08-14T22:31:14.2363379Z  * [new tag]                 ciflow/inductor/160485      -> ciflow/inductor/160485
2025-08-14T22:31:14.2365162Z  * [new tag]                 ciflow/inductor/160486      -> ciflow/inductor/160486
2025-08-14T22:31:14.2366301Z  * [new tag]                 ciflow/inductor/160503      -> ciflow/inductor/160503
2025-08-14T22:31:14.2367798Z  * [new tag]                 ciflow/inductor/160510      -> ciflow/inductor/160510
2025-08-14T22:31:14.2368990Z  * [new tag]                 ciflow/inductor/160527      -> ciflow/inductor/160527
2025-08-14T22:31:14.2370510Z  * [new tag]                 ciflow/inductor/160530      -> ciflow/inductor/160530
2025-08-14T22:31:14.2371631Z  * [new tag]                 ciflow/inductor/160531      -> ciflow/inductor/160531
2025-08-14T22:31:14.2373124Z  * [new tag]                 ciflow/inductor/160538      -> ciflow/inductor/160538
2025-08-14T22:31:14.2375148Z  * [new tag]                 ciflow/inductor/160539      -> ciflow/inductor/160539
2025-08-14T22:31:14.2376797Z  * [new tag]                 ciflow/inductor/160540      -> ciflow/inductor/160540
2025-08-14T22:31:14.2377911Z  * [new tag]                 ciflow/inductor/160548      -> ciflow/inductor/160548
2025-08-14T22:31:14.2379428Z  * [new tag]                 ciflow/inductor/160552      -> ciflow/inductor/160552
2025-08-14T22:31:14.2380572Z  * [new tag]                 ciflow/inductor/160561      -> ciflow/inductor/160561
2025-08-14T22:31:14.2382437Z  * [new tag]                 ciflow/inductor/160576      -> ciflow/inductor/160576
2025-08-14T22:31:14.2383432Z  * [new tag]                 ciflow/inductor/160578      -> ciflow/inductor/160578
2025-08-14T22:31:14.2384937Z  * [new tag]                 ciflow/inductor/160580      -> ciflow/inductor/160580
2025-08-14T22:31:14.2386096Z  * [new tag]                 ciflow/inductor/160583      -> ciflow/inductor/160583
2025-08-14T22:31:14.2387789Z  * [new tag]                 ciflow/inductor/160589      -> ciflow/inductor/160589
2025-08-14T22:31:14.2389437Z  * [new tag]                 ciflow/inductor/160590      -> ciflow/inductor/160590
2025-08-14T22:31:14.2391017Z  * [new tag]                 ciflow/inductor/160592      -> ciflow/inductor/160592
2025-08-14T22:31:14.2392122Z  * [new tag]                 ciflow/inductor/160596      -> ciflow/inductor/160596
2025-08-14T22:31:14.2393622Z  * [new tag]                 ciflow/inductor/160601      -> ciflow/inductor/160601
2025-08-14T22:31:14.2395152Z  * [new tag]                 ciflow/inductor/160607      -> ciflow/inductor/160607
2025-08-14T22:31:14.2396509Z  * [new tag]                 ciflow/inductor/160608      -> ciflow/inductor/160608
2025-08-14T22:31:14.2397984Z  * [new tag]                 ciflow/inductor/160611      -> ciflow/inductor/160611
2025-08-14T22:31:14.2399066Z  * [new tag]                 ciflow/inductor/160614      -> ciflow/inductor/160614
2025-08-14T22:31:14.2400640Z  * [new tag]                 ciflow/inductor/160616      -> ciflow/inductor/160616
2025-08-14T22:31:14.2401809Z  * [new tag]                 ciflow/inductor/160619      -> ciflow/inductor/160619
2025-08-14T22:31:14.2403299Z  * [new tag]                 ciflow/inductor/160625      -> ciflow/inductor/160625
2025-08-14T22:31:14.2404474Z  * [new tag]                 ciflow/inductor/160635      -> ciflow/inductor/160635
2025-08-14T22:31:14.2406132Z  * [new tag]                 ciflow/inductor/160649      -> ciflow/inductor/160649
2025-08-14T22:31:14.2413308Z  * [new tag]                 ciflow/inductor/160658      -> ciflow/inductor/160658
2025-08-14T22:31:14.2413825Z  * [new tag]                 ciflow/inductor/160662      -> ciflow/inductor/160662
2025-08-14T22:31:14.2414396Z  * [new tag]                 ciflow/inductor/160668      -> ciflow/inductor/160668
2025-08-14T22:31:14.2414849Z  * [new tag]                 ciflow/inductor/160669      -> ciflow/inductor/160669
2025-08-14T22:31:14.2415302Z  * [new tag]                 ciflow/inductor/160670      -> ciflow/inductor/160670
2025-08-14T22:31:14.2415755Z  * [new tag]                 ciflow/inductor/160671      -> ciflow/inductor/160671
2025-08-14T22:31:14.2416202Z  * [new tag]                 ciflow/inductor/160677      -> ciflow/inductor/160677
2025-08-14T22:31:14.2416891Z  * [new tag]                 ciflow/inductor/160679      -> ciflow/inductor/160679
2025-08-14T22:31:14.2418497Z  * [new tag]                 ciflow/inductor/160684      -> ciflow/inductor/160684
2025-08-14T22:31:14.2419660Z  * [new tag]                 ciflow/inductor/160685      -> ciflow/inductor/160685
2025-08-14T22:31:14.2421281Z  * [new tag]                 ciflow/inductor/160686      -> ciflow/inductor/160686
2025-08-14T22:31:14.2422462Z  * [new tag]                 ciflow/inductor/160687      -> ciflow/inductor/160687
2025-08-14T22:31:14.2423953Z  * [new tag]                 ciflow/inductor/160688      -> ciflow/inductor/160688
2025-08-14T22:31:14.2425648Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-08-14T22:31:14.2427174Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-08-14T22:31:14.2428777Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-08-14T22:31:14.2430391Z  * [new tag]                 ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855
2025-08-14T22:31:14.2431436Z  * [new tag]                 ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994
2025-08-14T22:31:14.2432737Z  * [new tag]                 ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737
2025-08-14T22:31:14.2433836Z  * [new tag]                 ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078
2025-08-14T22:31:14.2435059Z  * [new tag]                 ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299
2025-08-14T22:31:14.2436396Z  * [new tag]                 ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301
2025-08-14T22:31:14.2437986Z  * [new tag]                 ciflow/mps/155923           -> ciflow/mps/155923
2025-08-14T22:31:14.2439107Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-08-14T22:31:14.2440497Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-08-14T22:31:14.2441808Z  * [new tag]                 ciflow/mps/160541           -> ciflow/mps/160541
2025-08-14T22:31:14.2443468Z  * [new tag]                 ciflow/nightly/156049       -> ciflow/nightly/156049
2025-08-14T22:31:14.2444542Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-08-14T22:31:14.2446250Z  * [new tag]                 ciflow/op-benchmark/157994  -> ciflow/op-benchmark/157994
2025-08-14T22:31:14.2447890Z  * [new tag]                 ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971
2025-08-14T22:31:14.2448888Z  * [new tag]                 ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073
2025-08-14T22:31:14.2450078Z  * [new tag]                 ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538
2025-08-14T22:31:14.2452004Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-08-14T22:31:14.2453274Z  * [new tag]                 ciflow/periodic/131296      -> ciflow/periodic/131296
2025-08-14T22:31:14.2454432Z  * [new tag]                 ciflow/periodic/139971      -> ciflow/periodic/139971
2025-08-14T22:31:14.2455831Z  * [new tag]                 ciflow/periodic/143959      -> ciflow/periodic/143959
2025-08-14T22:31:14.2457023Z  * [new tag]                 ciflow/periodic/154595      -> ciflow/periodic/154595
2025-08-14T22:31:14.2458202Z  * [new tag]                 ciflow/periodic/156703      -> ciflow/periodic/156703
2025-08-14T22:31:14.2459455Z  * [new tag]                 ciflow/periodic/160201      -> ciflow/periodic/160201
2025-08-14T22:31:14.2460937Z  * [new tag]                 ciflow/periodic/160424      -> ciflow/periodic/160424
2025-08-14T22:31:14.2461946Z  * [new tag]                 ciflow/periodic/160538      -> ciflow/periodic/160538
2025-08-14T22:31:14.2464359Z  * [new tag]                 ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65
2025-08-14T22:31:14.2465634Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-08-14T22:31:14.2467572Z  * [new tag]                 ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b
2025-08-14T22:31:14.2468678Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-08-14T22:31:14.2470360Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-08-14T22:31:14.2471985Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-08-14T22:31:14.2474305Z  * [new tag]                 ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee
2025-08-14T22:31:14.2475708Z  * [new tag]                 ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93
2025-08-14T22:31:14.2477054Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-08-14T22:31:14.2479247Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-08-14T22:31:14.2480544Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-08-14T22:31:14.2482331Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-08-14T22:31:14.2484111Z  * [new tag]                 ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51
2025-08-14T22:31:14.2485360Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-08-14T22:31:14.2487062Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-08-14T22:31:14.2488808Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-08-14T22:31:14.2490393Z  * [new tag]                 ciflow/rocm-mi300/151360    -> ciflow/rocm-mi300/151360
2025-08-14T22:31:14.2491467Z  * [new tag]                 ciflow/rocm-mi300/159158    -> ciflow/rocm-mi300/159158
2025-08-14T22:31:14.2492639Z  * [new tag]                 ciflow/rocm-mi300/160073    -> ciflow/rocm-mi300/160073
2025-08-14T22:31:14.2494234Z  * [new tag]                 ciflow/rocm-mi300/160468    -> ciflow/rocm-mi300/160468
2025-08-14T22:31:14.2495312Z  * [new tag]                 ciflow/rocm-mi300/160538    -> ciflow/rocm-mi300/160538
2025-08-14T22:31:14.2497144Z  * [new tag]                 ciflow/rocm-mi355/160215    -> ciflow/rocm-mi355/160215
2025-08-14T22:31:14.2498702Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-08-14T22:31:14.2499872Z  * [new tag]                 ciflow/rocm/151360          -> ciflow/rocm/151360
2025-08-14T22:31:14.2501019Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-08-14T22:31:14.2502582Z  * [new tag]                 ciflow/rocm/154864          -> ciflow/rocm/154864
2025-08-14T22:31:14.2503758Z  * [new tag]                 ciflow/rocm/156491          -> ciflow/rocm/156491
2025-08-14T22:31:14.2505190Z  * [new tag]                 ciflow/rocm/158219          -> ciflow/rocm/158219
2025-08-14T22:31:14.2506229Z  * [new tag]                 ciflow/rocm/158220          -> ciflow/rocm/158220
2025-08-14T22:31:14.2508014Z  * [new tag]                 ciflow/rocm/158224          -> ciflow/rocm/158224
2025-08-14T22:31:14.2508925Z  * [new tag]                 ciflow/rocm/159158          -> ciflow/rocm/159158
2025-08-14T22:31:14.2510322Z  * [new tag]                 ciflow/rocm/160215          -> ciflow/rocm/160215
2025-08-14T22:31:14.2511583Z  * [new tag]                 ciflow/rocm/160468          -> ciflow/rocm/160468
2025-08-14T22:31:14.2513185Z  * [new tag]                 ciflow/rocm/160538          -> ciflow/rocm/160538
2025-08-14T22:31:14.2515080Z  * [new tag]                 ciflow/rocm/160676          -> ciflow/rocm/160676
2025-08-14T22:31:14.2516647Z  * [new tag]                 ciflow/s390/143959          -> ciflow/s390/143959
2025-08-14T22:31:14.2518382Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-08-14T22:31:14.2519728Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-08-14T22:31:14.2521599Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-08-14T22:31:14.2522518Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-08-14T22:31:14.2523906Z  * [new tag]                 ciflow/slow/154595          -> ciflow/slow/154595
2025-08-14T22:31:14.2525295Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-08-14T22:31:14.2526775Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-08-14T22:31:14.2528178Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-08-14T22:31:14.2529920Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-08-14T22:31:14.2531575Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-08-14T22:31:14.2533037Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-08-14T22:31:14.2534652Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-08-14T22:31:14.2536487Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-08-14T22:31:14.2538373Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-08-14T22:31:14.2539568Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-08-14T22:31:14.2541030Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-08-14T22:31:14.2542690Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-08-14T22:31:14.2544287Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-08-14T22:31:14.2545784Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-08-14T22:31:14.2547709Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-08-14T22:31:14.2549048Z  * [new tag]                 ciflow/trunk/131296         -> ciflow/trunk/131296
2025-08-14T22:31:14.2550331Z  * [new tag]                 ciflow/trunk/137400         -> ciflow/trunk/137400
2025-08-14T22:31:14.2551572Z  * [new tag]                 ciflow/trunk/138996         -> ciflow/trunk/138996
2025-08-14T22:31:14.2552775Z  * [new tag]                 ciflow/trunk/139971         -> ciflow/trunk/139971
2025-08-14T22:31:14.2553982Z  * [new tag]                 ciflow/trunk/147360         -> ciflow/trunk/147360
2025-08-14T22:31:14.2555246Z  * [new tag]                 ciflow/trunk/147855         -> ciflow/trunk/147855
2025-08-14T22:31:14.2556438Z  * [new tag]                 ciflow/trunk/148180         -> ciflow/trunk/148180
2025-08-14T22:31:14.2557710Z  * [new tag]                 ciflow/trunk/148328         -> ciflow/trunk/148328
2025-08-14T22:31:14.2558934Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-08-14T22:31:14.2560419Z  * [new tag]                 ciflow/trunk/150282         -> ciflow/trunk/150282
2025-08-14T22:31:14.2561473Z  * [new tag]                 ciflow/trunk/150302         -> ciflow/trunk/150302
2025-08-14T22:31:14.2563248Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-08-14T22:31:14.2564898Z  * [new tag]                 ciflow/trunk/152624         -> ciflow/trunk/152624
2025-08-14T22:31:14.2566550Z  * [new tag]                 ciflow/trunk/154193         -> ciflow/trunk/154193
2025-08-14T22:31:14.2567696Z  * [new tag]                 ciflow/trunk/154595         -> ciflow/trunk/154595
2025-08-14T22:31:14.2569115Z  * [new tag]                 ciflow/trunk/154650         -> ciflow/trunk/154650
2025-08-14T22:31:14.2570392Z  * [new tag]                 ciflow/trunk/154694         -> ciflow/trunk/154694
2025-08-14T22:31:14.2571716Z  * [new tag]                 ciflow/trunk/155958         -> ciflow/trunk/155958
2025-08-14T22:31:14.2573008Z  * [new tag]                 ciflow/trunk/156049         -> ciflow/trunk/156049
2025-08-14T22:31:14.2574372Z  * [new tag]                 ciflow/trunk/156703         -> ciflow/trunk/156703
2025-08-14T22:31:14.2575650Z  * [new tag]                 ciflow/trunk/156851         -> ciflow/trunk/156851
2025-08-14T22:31:14.2577044Z  * [new tag]                 ciflow/trunk/157148         -> ciflow/trunk/157148
2025-08-14T22:31:14.2578777Z  * [new tag]                 ciflow/trunk/157152         -> ciflow/trunk/157152
2025-08-14T22:31:14.2580093Z  * [new tag]                 ciflow/trunk/157432         -> ciflow/trunk/157432
2025-08-14T22:31:14.2581453Z  * [new tag]                 ciflow/trunk/157685         -> ciflow/trunk/157685
2025-08-14T22:31:14.2582758Z  * [new tag]                 ciflow/trunk/157689         -> ciflow/trunk/157689
2025-08-14T22:31:14.2584060Z  * [new tag]                 ciflow/trunk/157699         -> ciflow/trunk/157699
2025-08-14T22:31:14.2585562Z  * [new tag]                 ciflow/trunk/157813         -> ciflow/trunk/157813
2025-08-14T22:31:14.2586810Z  * [new tag]                 ciflow/trunk/157994         -> ciflow/trunk/157994
2025-08-14T22:31:14.2588133Z  * [new tag]                 ciflow/trunk/158091         -> ciflow/trunk/158091
2025-08-14T22:31:14.2589625Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-08-14T22:31:14.2590899Z  * [new tag]                 ciflow/trunk/158219         -> ciflow/trunk/158219
2025-08-14T22:31:14.2592215Z  * [new tag]                 ciflow/trunk/158220         -> ciflow/trunk/158220
2025-08-14T22:31:14.2593802Z  * [new tag]                 ciflow/trunk/158224         -> ciflow/trunk/158224
2025-08-14T22:31:14.2595002Z  * [new tag]                 ciflow/trunk/158529         -> ciflow/trunk/158529
2025-08-14T22:31:14.2596269Z  * [new tag]                 ciflow/trunk/158647         -> ciflow/trunk/158647
2025-08-14T22:31:14.2597588Z  * [new tag]                 ciflow/trunk/158810         -> ciflow/trunk/158810
2025-08-14T22:31:14.2598910Z  * [new tag]                 ciflow/trunk/158812         -> ciflow/trunk/158812
2025-08-14T22:31:14.2600232Z  * [new tag]                 ciflow/trunk/158863         -> ciflow/trunk/158863
2025-08-14T22:31:14.2601554Z  * [new tag]                 ciflow/trunk/158864         -> ciflow/trunk/158864
2025-08-14T22:31:14.2602905Z  * [new tag]                 ciflow/trunk/158883         -> ciflow/trunk/158883
2025-08-14T22:31:14.2604197Z  * [new tag]                 ciflow/trunk/158914         -> ciflow/trunk/158914
2025-08-14T22:31:14.2605505Z  * [new tag]                 ciflow/trunk/158965         -> ciflow/trunk/158965
2025-08-14T22:31:14.2606839Z  * [new tag]                 ciflow/trunk/158987         -> ciflow/trunk/158987
2025-08-14T22:31:14.2608341Z  * [new tag]                 ciflow/trunk/159033         -> ciflow/trunk/159033
2025-08-14T22:31:14.2609770Z  * [new tag]                 ciflow/trunk/159140         -> ciflow/trunk/159140
2025-08-14T22:31:14.2611084Z  * [new tag]                 ciflow/trunk/159158         -> ciflow/trunk/159158
2025-08-14T22:31:14.2612390Z  * [new tag]                 ciflow/trunk/159553         -> ciflow/trunk/159553
2025-08-14T22:31:14.2613783Z  * [new tag]                 ciflow/trunk/159562         -> ciflow/trunk/159562
2025-08-14T22:31:14.2615217Z  * [new tag]                 ciflow/trunk/159682         -> ciflow/trunk/159682
2025-08-14T22:31:14.2616521Z  * [new tag]                 ciflow/trunk/159691         -> ciflow/trunk/159691
2025-08-14T22:31:14.2617883Z  * [new tag]                 ciflow/trunk/159842         -> ciflow/trunk/159842
2025-08-14T22:31:14.2619170Z  * [new tag]                 ciflow/trunk/159889         -> ciflow/trunk/159889
2025-08-14T22:31:14.2620482Z  * [new tag]                 ciflow/trunk/159923         -> ciflow/trunk/159923
2025-08-14T22:31:14.2622033Z  * [new tag]                 ciflow/trunk/160004         -> ciflow/trunk/160004
2025-08-14T22:31:14.2622945Z  * [new tag]                 ciflow/trunk/160113         -> ciflow/trunk/160113
2025-08-14T22:31:14.2624443Z  * [new tag]                 ciflow/trunk/160161         -> ciflow/trunk/160161
2025-08-14T22:31:14.2625737Z  * [new tag]                 ciflow/trunk/160168         -> ciflow/trunk/160168
2025-08-14T22:31:14.2627057Z  * [new tag]                 ciflow/trunk/160181         -> ciflow/trunk/160181
2025-08-14T22:31:14.2628408Z  * [new tag]                 ciflow/trunk/160183         -> ciflow/trunk/160183
2025-08-14T22:31:14.2629901Z  * [new tag]                 ciflow/trunk/160190         -> ciflow/trunk/160190
2025-08-14T22:31:14.2631195Z  * [new tag]                 ciflow/trunk/160198         -> ciflow/trunk/160198
2025-08-14T22:31:14.2632537Z  * [new tag]                 ciflow/trunk/160205         -> ciflow/trunk/160205
2025-08-14T22:31:14.2634022Z  * [new tag]                 ciflow/trunk/160219         -> ciflow/trunk/160219
2025-08-14T22:31:14.2635351Z  * [new tag]                 ciflow/trunk/160224         -> ciflow/trunk/160224
2025-08-14T22:31:14.2637084Z  * [new tag]                 ciflow/trunk/160250         -> ciflow/trunk/160250
2025-08-14T22:31:14.2638329Z  * [new tag]                 ciflow/trunk/160253         -> ciflow/trunk/160253
2025-08-14T22:31:14.2639734Z  * [new tag]                 ciflow/trunk/160335         -> ciflow/trunk/160335
2025-08-14T22:31:14.2641209Z  * [new tag]                 ciflow/trunk/160338         -> ciflow/trunk/160338
2025-08-14T22:31:14.2642725Z  * [new tag]                 ciflow/trunk/160369         -> ciflow/trunk/160369
2025-08-14T22:31:14.2644099Z  * [new tag]                 ciflow/trunk/160383         -> ciflow/trunk/160383
2025-08-14T22:31:14.2645405Z  * [new tag]                 ciflow/trunk/160401         -> ciflow/trunk/160401
2025-08-14T22:31:14.2646712Z  * [new tag]                 ciflow/trunk/160403         -> ciflow/trunk/160403
2025-08-14T22:31:14.2647999Z  * [new tag]                 ciflow/trunk/160430         -> ciflow/trunk/160430
2025-08-14T22:31:14.2649328Z  * [new tag]                 ciflow/trunk/160431         -> ciflow/trunk/160431
2025-08-14T22:31:14.2650840Z  * [new tag]                 ciflow/trunk/160439         -> ciflow/trunk/160439
2025-08-14T22:31:14.2652203Z  * [new tag]                 ciflow/trunk/160449         -> ciflow/trunk/160449
2025-08-14T22:31:14.2653798Z  * [new tag]                 ciflow/trunk/160454         -> ciflow/trunk/160454
2025-08-14T22:31:14.2655104Z  * [new tag]                 ciflow/trunk/160455         -> ciflow/trunk/160455
2025-08-14T22:31:14.2656416Z  * [new tag]                 ciflow/trunk/160468         -> ciflow/trunk/160468
2025-08-14T22:31:14.2657752Z  * [new tag]                 ciflow/trunk/160481         -> ciflow/trunk/160481
2025-08-14T22:31:14.2659083Z  * [new tag]                 ciflow/trunk/160485         -> ciflow/trunk/160485
2025-08-14T22:31:14.2660547Z  * [new tag]                 ciflow/trunk/160519         -> ciflow/trunk/160519
2025-08-14T22:31:14.2661870Z  * [new tag]                 ciflow/trunk/160527         -> ciflow/trunk/160527
2025-08-14T22:31:14.2663180Z  * [new tag]                 ciflow/trunk/160552         -> ciflow/trunk/160552
2025-08-14T22:31:14.2664705Z  * [new tag]                 ciflow/trunk/160560         -> ciflow/trunk/160560
2025-08-14T22:31:14.2666452Z  * [new tag]                 ciflow/trunk/160578         -> ciflow/trunk/160578
2025-08-14T22:31:14.2667782Z  * [new tag]                 ciflow/trunk/160589         -> ciflow/trunk/160589
2025-08-14T22:31:14.2669194Z  * [new tag]                 ciflow/trunk/160592         -> ciflow/trunk/160592
2025-08-14T22:31:14.2670573Z  * [new tag]                 ciflow/trunk/160614         -> ciflow/trunk/160614
2025-08-14T22:31:14.2671950Z  * [new tag]                 ciflow/trunk/160649         -> ciflow/trunk/160649
2025-08-14T22:31:14.2674519Z  * [new tag]                 ciflow/trunk/160656         -> ciflow/trunk/160656
2025-08-14T22:31:14.2674933Z  * [new tag]                 ciflow/trunk/160658         -> ciflow/trunk/160658
2025-08-14T22:31:14.2676261Z  * [new tag]                 ciflow/trunk/160672         -> ciflow/trunk/160672
2025-08-14T22:31:14.2677138Z  * [new tag]                 ciflow/trunk/160675         -> ciflow/trunk/160675
2025-08-14T22:31:14.2679208Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-08-14T22:31:14.2680868Z  * [new tag]                 ciflow/vllm/160116          -> ciflow/vllm/160116
2025-08-14T22:31:14.2681737Z  * [new tag]                 ciflow/vllm/160583          -> ciflow/vllm/160583
2025-08-14T22:31:14.2683199Z  * [new tag]                 ciflow/vllm/160619          -> ciflow/vllm/160619
2025-08-14T22:31:14.2684459Z  * [new tag]                 ciflow/vllm/160625          -> ciflow/vllm/160625
2025-08-14T22:31:14.2685630Z  * [new tag]                 ciflow/vllm/160627          -> ciflow/vllm/160627
2025-08-14T22:31:14.2687271Z  * [new tag]                 ciflow/win-arm64/156049     -> ciflow/win-arm64/156049
2025-08-14T22:31:14.2688628Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-08-14T22:31:14.2689521Z  * [new tag]                 ciflow/win-arm64/159553     -> ciflow/win-arm64/159553
2025-08-14T22:31:14.2690929Z  * [new tag]                 ciflow/win-arm64/159562     -> ciflow/win-arm64/159562
2025-08-14T22:31:14.2692350Z  * [new tag]                 ciflow/win-arm64/159777     -> ciflow/win-arm64/159777
2025-08-14T22:31:14.2693559Z  * [new tag]                 ciflow/win-arm64/159780     -> ciflow/win-arm64/159780
2025-08-14T22:31:14.2694789Z  * [new tag]                 ciflow/win-arm64/159842     -> ciflow/win-arm64/159842
2025-08-14T22:31:14.2696017Z  * [new tag]                 ciflow/win-arm64/160250     -> ciflow/win-arm64/160250
2025-08-14T22:31:14.2697230Z  * [new tag]                 ciflow/win-arm64/160253     -> ciflow/win-arm64/160253
2025-08-14T22:31:14.2698448Z  * [new tag]                 ciflow/win-arm64/160454     -> ciflow/win-arm64/160454
2025-08-14T22:31:14.2699718Z  * [new tag]                 ciflow/win-arm64/160560     -> ciflow/win-arm64/160560
2025-08-14T22:31:14.2701205Z  * [new tag]                 ciflow/xpu/138996           -> ciflow/xpu/138996
2025-08-14T22:31:14.2702429Z  * [new tag]                 ciflow/xpu/139971           -> ciflow/xpu/139971
2025-08-14T22:31:14.2703911Z  * [new tag]                 ciflow/xpu/140972           -> ciflow/xpu/140972
2025-08-14T22:31:14.2705232Z  * [new tag]                 ciflow/xpu/143553           -> ciflow/xpu/143553
2025-08-14T22:31:14.2706560Z  * [new tag]                 ciflow/xpu/156272           -> ciflow/xpu/156272
2025-08-14T22:31:14.2707801Z  * [new tag]                 ciflow/xpu/156812           -> ciflow/xpu/156812
2025-08-14T22:31:14.2709153Z  * [new tag]                 ciflow/xpu/157699           -> ciflow/xpu/157699
2025-08-14T22:31:14.2710395Z  * [new tag]                 ciflow/xpu/157994           -> ciflow/xpu/157994
2025-08-14T22:31:14.2711755Z  * [new tag]                 ciflow/xpu/158336           -> ciflow/xpu/158336
2025-08-14T22:31:14.2712957Z  * [new tag]                 ciflow/xpu/158733           -> ciflow/xpu/158733
2025-08-14T22:31:14.2714170Z  * [new tag]                 ciflow/xpu/159033           -> ciflow/xpu/159033
2025-08-14T22:31:14.2715771Z  * [new tag]                 ciflow/xpu/159118           -> ciflow/xpu/159118
2025-08-14T22:31:14.2717471Z  * [new tag]                 ciflow/xpu/159140           -> ciflow/xpu/159140
2025-08-14T22:31:14.2719168Z  * [new tag]                 ciflow/xpu/159241           -> ciflow/xpu/159241
2025-08-14T22:31:14.2720532Z  * [new tag]                 ciflow/xpu/159473           -> ciflow/xpu/159473
2025-08-14T22:31:14.2721969Z  * [new tag]                 ciflow/xpu/159474           -> ciflow/xpu/159474
2025-08-14T22:31:14.2723270Z  * [new tag]                 ciflow/xpu/159553           -> ciflow/xpu/159553
2025-08-14T22:31:14.2724633Z  * [new tag]                 ciflow/xpu/159944           -> ciflow/xpu/159944
2025-08-14T22:31:14.2726137Z  * [new tag]                 ciflow/xpu/160062           -> ciflow/xpu/160062
2025-08-14T22:31:14.2727474Z  * [new tag]                 ciflow/xpu/160067           -> ciflow/xpu/160067
2025-08-14T22:31:14.2728893Z  * [new tag]                 ciflow/xpu/160158           -> ciflow/xpu/160158
2025-08-14T22:31:14.2730210Z  * [new tag]                 ciflow/xpu/160173           -> ciflow/xpu/160173
2025-08-14T22:31:14.2731508Z  * [new tag]                 ciflow/xpu/160183           -> ciflow/xpu/160183
2025-08-14T22:31:14.2732801Z  * [new tag]                 ciflow/xpu/160301           -> ciflow/xpu/160301
2025-08-14T22:31:14.2734098Z  * [new tag]                 ciflow/xpu/160403           -> ciflow/xpu/160403
2025-08-14T22:31:14.2735520Z  * [new tag]                 ciflow/xpu/160606           -> ciflow/xpu/160606
2025-08-14T22:31:14.2736878Z  * [new tag]                 cslpull75                   -> cslpull75
2025-08-14T22:31:14.2738170Z  * [new tag]                 cslpull76                   -> cslpull76
2025-08-14T22:31:14.2739619Z  * [new tag]                 cslpull77                   -> cslpull77
2025-08-14T22:31:14.2740833Z  * [new tag]                 cslpull78                   -> cslpull78
2025-08-14T22:31:14.2742735Z  * [new tag]                 cslpull79                   -> cslpull79
2025-08-14T22:31:14.2744475Z  * [new tag]                 cslpull80                   -> cslpull80
2025-08-14T22:31:14.2746080Z  * [new tag]                 cslpull81                   -> cslpull81
2025-08-14T22:31:14.2747463Z  * [new tag]                 cslpull82                   -> cslpull82
2025-08-14T22:31:14.2748891Z  * [new tag]                 cslpull83                   -> cslpull83
2025-08-14T22:31:14.2750322Z  * [new tag]                 cslpull84                   -> cslpull84
2025-08-14T22:31:14.2751674Z  * [new tag]                 cslpull85                   -> cslpull85
2025-08-14T22:31:14.2753085Z  * [new tag]                 cslpull86                   -> cslpull86
2025-08-14T22:31:14.2754514Z  * [new tag]                 cslpull87                   -> cslpull87
2025-08-14T22:31:14.2755968Z  * [new tag]                 cslpull88                   -> cslpull88
2025-08-14T22:31:14.2757392Z  * [new tag]                 cslpull89                   -> cslpull89
2025-08-14T22:31:14.2758614Z  * [new tag]                 cslpull90                   -> cslpull90
2025-08-14T22:31:14.2760345Z  * [new tag]                 cslpull91                   -> cslpull91
2025-08-14T22:31:14.2761711Z  * [new tag]                 cslpull92                   -> cslpull92
2025-08-14T22:31:14.2763124Z  * [new tag]                 flight_5                    -> flight_5
2025-08-14T22:31:14.2764594Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-08-14T22:31:14.2766065Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-08-14T22:31:14.2767371Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-08-14T22:31:14.2768710Z  * [new tag]                 forpull1                    -> forpull1
2025-08-14T22:31:14.2770428Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-08-14T22:31:14.2771834Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-08-14T22:31:14.2773222Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-08-14T22:31:14.2774659Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-08-14T22:31:14.2775895Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-08-14T22:31:14.2777426Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-08-14T22:31:14.2779335Z  * [new tag]                 trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6
2025-08-14T22:31:14.2780727Z  * [new tag]                 trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46
2025-08-14T22:31:14.2782445Z  * [new tag]                 trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d
2025-08-14T22:31:14.2784097Z  * [new tag]                 trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a
2025-08-14T22:31:14.2785339Z  * [new tag]                 trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e
2025-08-14T22:31:14.2786815Z  * [new tag]                 trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb
2025-08-14T22:31:14.2788357Z  * [new tag]                 trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869
2025-08-14T22:31:14.2789958Z  * [new tag]                 trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206
2025-08-14T22:31:14.2791375Z  * [new tag]                 trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126
2025-08-14T22:31:14.2792773Z  * [new tag]                 trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610
2025-08-14T22:31:14.2794212Z  * [new tag]                 trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057
2025-08-14T22:31:14.2795890Z  * [new tag]                 trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1
2025-08-14T22:31:14.2797267Z  * [new tag]                 trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde
2025-08-14T22:31:14.2798659Z  * [new tag]                 trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4
2025-08-14T22:31:14.2800093Z  * [new tag]                 trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81
2025-08-14T22:31:14.2801680Z  * [new tag]                 trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289
2025-08-14T22:31:14.2803180Z  * [new tag]                 trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b
2025-08-14T22:31:14.2804600Z  * [new tag]                 trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11
2025-08-14T22:31:14.2806035Z  * [new tag]                 trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca
2025-08-14T22:31:14.2807606Z  * [new tag]                 trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483
2025-08-14T22:31:14.2809059Z  * [new tag]                 trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2
2025-08-14T22:31:14.2810539Z  * [new tag]                 trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e
2025-08-14T22:31:14.2811963Z  * [new tag]                 trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b
2025-08-14T22:31:14.2813453Z  * [new tag]                 trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1
2025-08-14T22:31:14.2814674Z  * [new tag]                 trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e
2025-08-14T22:31:14.2816858Z  * [new tag]                 trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76
2025-08-14T22:31:14.2818002Z  * [new tag]                 trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91
2025-08-14T22:31:14.2819704Z  * [new tag]                 trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8
2025-08-14T22:31:14.2821160Z  * [new tag]                 trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848
2025-08-14T22:31:14.2822678Z  * [new tag]                 trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca
2025-08-14T22:31:14.2824134Z  * [new tag]                 trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019
2025-08-14T22:31:14.2825538Z  * [new tag]                 trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe
2025-08-14T22:31:14.2827047Z  * [new tag]                 trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf
2025-08-14T22:31:14.2828560Z  * [new tag]                 trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca
2025-08-14T22:31:14.2830127Z  * [new tag]                 trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014
2025-08-14T22:31:14.2831641Z  * [new tag]                 trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a
2025-08-14T22:31:14.2832908Z  * [new tag]                 trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7
2025-08-14T22:31:14.2834672Z  * [new tag]                 trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8
2025-08-14T22:31:14.2836150Z  * [new tag]                 trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c
2025-08-14T22:31:14.2837570Z  * [new tag]                 trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613
2025-08-14T22:31:14.2839044Z  * [new tag]                 trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3
2025-08-14T22:31:14.2840490Z  * [new tag]                 trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc
2025-08-14T22:31:14.2842118Z  * [new tag]                 trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad
2025-08-14T22:31:14.2845709Z  * [new tag]                 trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:31:14.2846792Z  * [new tag]                 trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65
2025-08-14T22:31:14.2848541Z  * [new tag]                 trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673
2025-08-14T22:31:14.2850003Z  * [new tag]                 trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb
2025-08-14T22:31:14.2851556Z  * [new tag]                 trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641
2025-08-14T22:31:14.2852626Z  * [new tag]                 trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6
2025-08-14T22:31:14.2854184Z  * [new tag]                 trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d
2025-08-14T22:31:14.2855441Z  * [new tag]                 trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee
2025-08-14T22:31:14.2856936Z  * [new tag]                 trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c
2025-08-14T22:31:14.2858870Z  * [new tag]                 trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd
2025-08-14T22:31:14.2860328Z  * [new tag]                 trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9
2025-08-14T22:31:14.2861755Z  * [new tag]                 trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227
2025-08-14T22:31:14.2863198Z  * [new tag]                 trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72
2025-08-14T22:31:14.2864768Z  * [new tag]                 trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c
2025-08-14T22:31:14.2866263Z  * [new tag]                 trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31
2025-08-14T22:31:14.2867572Z  * [new tag]                 trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad
2025-08-14T22:31:14.2869204Z  * [new tag]                 trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1
2025-08-14T22:31:14.2870819Z  * [new tag]                 trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51
2025-08-14T22:31:14.2871907Z  * [new tag]                 trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b
2025-08-14T22:31:14.2873700Z  * [new tag]                 trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1
2025-08-14T22:31:14.2874815Z  * [new tag]                 trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5
2025-08-14T22:31:14.2876550Z  * [new tag]                 trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2
2025-08-14T22:31:14.2877956Z  * [new tag]                 trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6
2025-08-14T22:31:14.2879686Z  * [new tag]                 trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67
2025-08-14T22:31:14.2881127Z  * [new tag]                 trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706
2025-08-14T22:31:14.2882615Z  * [new tag]                 trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669
2025-08-14T22:31:14.2884120Z  * [new tag]                 trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047
2025-08-14T22:31:14.2885221Z  * [new tag]                 trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225
2025-08-14T22:31:14.2886928Z  * [new tag]                 trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513
2025-08-14T22:31:14.2888419Z  * [new tag]                 trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0
2025-08-14T22:31:14.2889947Z  * [new tag]                 trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb
2025-08-14T22:31:14.2891457Z  * [new tag]                 trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673
2025-08-14T22:31:14.2892855Z  * [new tag]                 trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816
2025-08-14T22:31:14.2898014Z  * [new tag]                 trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919
2025-08-14T22:31:14.2899097Z  * [new tag]                 trunk/3650989e6e19d8a3d134c22ae7c4659bf8c93785 -> trunk/3650989e6e19d8a3d134c22ae7c4659bf8c93785
2025-08-14T22:31:14.2900784Z  * [new tag]                 trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7
2025-08-14T22:31:14.2902371Z  * [new tag]                 trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2
2025-08-14T22:31:14.2903984Z  * [new tag]                 trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa
2025-08-14T22:31:14.2905230Z  * [new tag]                 trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae
2025-08-14T22:31:14.2906819Z  * [new tag]                 trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08
2025-08-14T22:31:14.2908344Z  * [new tag]                 trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0
2025-08-14T22:31:14.2909850Z  * [new tag]                 trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2
2025-08-14T22:31:14.2911272Z  * [new tag]                 trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f
2025-08-14T22:31:14.2912736Z  * [new tag]                 trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0
2025-08-14T22:31:14.2914187Z  * [new tag]                 trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820
2025-08-14T22:31:14.2915776Z  * [new tag]                 trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881
2025-08-14T22:31:14.2917743Z  * [new tag]                 trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6
2025-08-14T22:31:14.2919228Z  * [new tag]                 trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23
2025-08-14T22:31:14.2920672Z  * [new tag]                 trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60
2025-08-14T22:31:14.2922119Z  * [new tag]                 trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d
2025-08-14T22:31:14.2923613Z  * [new tag]                 trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f
2025-08-14T22:31:14.2925090Z  * [new tag]                 trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3
2025-08-14T22:31:14.2926578Z  * [new tag]                 trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b
2025-08-14T22:31:14.2928343Z  * [new tag]                 trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812
2025-08-14T22:31:14.2929632Z  * [new tag]                 trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee
2025-08-14T22:31:14.2931130Z  * [new tag]                 trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3
2025-08-14T22:31:14.2932673Z  * [new tag]                 trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d
2025-08-14T22:31:14.2934159Z  * [new tag]                 trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf
2025-08-14T22:31:14.2935679Z  * [new tag]                 trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235
2025-08-14T22:31:14.2937222Z  * [new tag]                 trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc
2025-08-14T22:31:14.2938742Z  * [new tag]                 trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42
2025-08-14T22:31:14.2940276Z  * [new tag]                 trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d
2025-08-14T22:31:14.2941912Z  * [new tag]                 trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa
2025-08-14T22:31:14.2943594Z  * [new tag]                 trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f
2025-08-14T22:31:14.2944678Z  * [new tag]                 trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce
2025-08-14T22:31:14.2946378Z  * [new tag]                 trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919
2025-08-14T22:31:14.2947870Z  * [new tag]                 trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3
2025-08-14T22:31:14.2949485Z  * [new tag]                 trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99
2025-08-14T22:31:14.2951082Z  * [new tag]                 trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad
2025-08-14T22:31:14.2952545Z  * [new tag]                 trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d
2025-08-14T22:31:14.2954020Z  * [new tag]                 trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512
2025-08-14T22:31:14.2955468Z  * [new tag]                 trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307
2025-08-14T22:31:14.2957145Z  * [new tag]                 trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add
2025-08-14T22:31:14.2958200Z  * [new tag]                 trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f
2025-08-14T22:31:14.2959959Z  * [new tag]                 trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf
2025-08-14T22:31:14.2961478Z  * [new tag]                 trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a
2025-08-14T22:31:14.2962711Z  * [new tag]                 trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93
2025-08-14T22:31:14.2964389Z  * [new tag]                 trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca
2025-08-14T22:31:14.2965889Z  * [new tag]                 trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc
2025-08-14T22:31:14.2967361Z  * [new tag]                 trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62
2025-08-14T22:31:14.2968803Z  * [new tag]                 trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a
2025-08-14T22:31:14.2970303Z  * [new tag]                 trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1
2025-08-14T22:31:14.2971797Z  * [new tag]                 trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537
2025-08-14T22:31:14.2973347Z  * [new tag]                 trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14
2025-08-14T22:31:14.2974581Z  * [new tag]                 trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c
2025-08-14T22:31:14.2976363Z  * [new tag]                 trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f
2025-08-14T22:31:14.2977999Z  * [new tag]                 trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5
2025-08-14T22:31:14.2979252Z  * [new tag]                 trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49
2025-08-14T22:31:14.2980936Z  * [new tag]                 trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66
2025-08-14T22:31:14.2982506Z  * [new tag]                 trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7
2025-08-14T22:31:14.2984021Z  * [new tag]                 trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58
2025-08-14T22:31:14.2985591Z  * [new tag]                 trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38
2025-08-14T22:31:14.2987100Z  * [new tag]                 trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935
2025-08-14T22:31:14.2988422Z  * [new tag]                 trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8
2025-08-14T22:31:14.2990090Z  * [new tag]                 trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d
2025-08-14T22:31:14.2991591Z  * [new tag]                 trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8
2025-08-14T22:31:14.2993111Z  * [new tag]                 trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59
2025-08-14T22:31:14.2994629Z  * [new tag]                 trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41
2025-08-14T22:31:14.2996048Z  * [new tag]                 trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4
2025-08-14T22:31:14.2997688Z  * [new tag]                 trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299
2025-08-14T22:31:14.2999352Z  * [new tag]                 trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114
2025-08-14T22:31:14.3000873Z  * [new tag]                 trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef
2025-08-14T22:31:14.3002370Z  * [new tag]                 trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac
2025-08-14T22:31:14.3003843Z  * [new tag]                 trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b
2025-08-14T22:31:14.3005589Z  * [new tag]                 trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020
2025-08-14T22:31:14.3007118Z  * [new tag]                 trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001
2025-08-14T22:31:14.3008640Z  * [new tag]                 trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d
2025-08-14T22:31:14.3010157Z  * [new tag]                 trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348
2025-08-14T22:31:14.3011658Z  * [new tag]                 trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2
2025-08-14T22:31:14.3013165Z  * [new tag]                 trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff
2025-08-14T22:31:14.3015196Z  * [new tag]                 trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892
2025-08-14T22:31:14.3016774Z  * [new tag]                 trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26
2025-08-14T22:31:14.3018260Z  * [new tag]                 trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654
2025-08-14T22:31:14.3019844Z  * [new tag]                 trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f
2025-08-14T22:31:14.3021355Z  * [new tag]                 trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84
2025-08-14T22:31:14.3022733Z  * [new tag]                 trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a
2025-08-14T22:31:14.3024320Z  * [new tag]                 trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367
2025-08-14T22:31:14.3025821Z  * [new tag]                 trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa
2025-08-14T22:31:14.3027222Z  * [new tag]                 trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1
2025-08-14T22:31:14.3028882Z  * [new tag]                 trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d
2025-08-14T22:31:14.3030426Z  * [new tag]                 trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6
2025-08-14T22:31:14.3031872Z  * [new tag]                 trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0
2025-08-14T22:31:14.3033518Z  * [new tag]                 trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4
2025-08-14T22:31:14.3035047Z  * [new tag]                 trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d
2025-08-14T22:31:14.3036540Z  * [new tag]                 trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1
2025-08-14T22:31:14.3037798Z  * [new tag]                 trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347
2025-08-14T22:31:14.3039483Z  * [new tag]                 trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75
2025-08-14T22:31:14.3041094Z  * [new tag]                 trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e
2025-08-14T22:31:14.3042842Z  * [new tag]                 trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3
2025-08-14T22:31:14.3044330Z  * [new tag]                 trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be
2025-08-14T22:31:14.3045555Z  * [new tag]                 trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6
2025-08-14T22:31:14.3047490Z  * [new tag]                 trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7
2025-08-14T22:31:14.3048952Z  * [new tag]                 trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05
2025-08-14T22:31:14.3050568Z  * [new tag]                 trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106
2025-08-14T22:31:14.3052084Z  * [new tag]                 trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8
2025-08-14T22:31:14.3053672Z  * [new tag]                 trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8
2025-08-14T22:31:14.3055276Z  * [new tag]                 trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd
2025-08-14T22:31:14.3056668Z  * [new tag]                 trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd
2025-08-14T22:31:14.3058242Z  * [new tag]                 trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72
2025-08-14T22:31:14.3059674Z  * [new tag]                 trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8
2025-08-14T22:31:14.3061534Z  * [new tag]                 trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df
2025-08-14T22:31:14.3063022Z  * [new tag]                 trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc
2025-08-14T22:31:14.3064620Z  * [new tag]                 trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed
2025-08-14T22:31:14.3065867Z  * [new tag]                 trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09
2025-08-14T22:31:14.3067524Z  * [new tag]                 trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674
2025-08-14T22:31:14.3069269Z  * [new tag]                 trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715
2025-08-14T22:31:14.3070855Z  * [new tag]                 trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69
2025-08-14T22:31:14.3072415Z  * [new tag]                 trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c
2025-08-14T22:31:14.3074018Z  * [new tag]                 trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600
2025-08-14T22:31:14.3075553Z  * [new tag]                 trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b
2025-08-14T22:31:14.3077117Z  * [new tag]                 trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae
2025-08-14T22:31:14.3078747Z  * [new tag]                 trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861
2025-08-14T22:31:14.3080307Z  * [new tag]                 trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b
2025-08-14T22:31:14.3081872Z  * [new tag]                 trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332
2025-08-14T22:31:14.3083519Z  * [new tag]                 trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883
2025-08-14T22:31:14.3085077Z  * [new tag]                 trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0
2025-08-14T22:31:14.3086917Z  * [new tag]                 trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615
2025-08-14T22:31:14.3088538Z  * [new tag]                 trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c
2025-08-14T22:31:14.3090081Z  * [new tag]                 trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107
2025-08-14T22:31:14.3091674Z  * [new tag]                 trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5
2025-08-14T22:31:14.3093197Z  * [new tag]                 trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b
2025-08-14T22:31:14.3094761Z  * [new tag]                 trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc
2025-08-14T22:31:14.3096365Z  * [new tag]                 trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753
2025-08-14T22:31:14.3097921Z  * [new tag]                 trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a
2025-08-14T22:31:14.3099612Z  * [new tag]                 trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02
2025-08-14T22:31:14.3101113Z  * [new tag]                 trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf
2025-08-14T22:31:14.3102813Z  * [new tag]                 trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64
2025-08-14T22:31:14.3104371Z  * [new tag]                 trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78
2025-08-14T22:31:14.3105855Z  * [new tag]                 trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5
2025-08-14T22:31:14.3107410Z  * [new tag]                 trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3
2025-08-14T22:31:14.3109643Z  * [new tag]                 trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8
2025-08-14T22:31:14.3111231Z  * [new tag]                 trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4
2025-08-14T22:31:14.3112742Z  * [new tag]                 trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491
2025-08-14T22:31:14.3114344Z  * [new tag]                 trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee
2025-08-14T22:31:14.3116488Z  * [new tag]                 trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff
2025-08-14T22:31:14.3118022Z  * [new tag]                 trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941
2025-08-14T22:31:14.3119610Z  * [new tag]                 trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd
2025-08-14T22:31:14.3121289Z  * [new tag]                 trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca
2025-08-14T22:31:14.3122806Z  * [new tag]                 trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431
2025-08-14T22:31:14.3124293Z  * [new tag]                 trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4
2025-08-14T22:31:14.3125870Z  * [new tag]                 trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492
2025-08-14T22:31:14.3127399Z  * [new tag]                 trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685
2025-08-14T22:31:14.3128992Z  * [new tag]                 trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2
2025-08-14T22:31:14.3130527Z  * [new tag]                 trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e
2025-08-14T22:31:14.3131950Z  * [new tag]                 trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23
2025-08-14T22:31:14.3133594Z  * [new tag]                 trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5
2025-08-14T22:31:14.3135192Z  * [new tag]                 trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36
2025-08-14T22:31:14.3136776Z  * [new tag]                 trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4
2025-08-14T22:31:14.3138477Z  * [new tag]                 trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9
2025-08-14T22:31:14.3139974Z  * [new tag]                 trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff
2025-08-14T22:31:14.3141829Z  * [new tag]                 trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31
2025-08-14T22:31:14.3143320Z  * [new tag]                 trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc
2025-08-14T22:31:14.3144599Z  * [new tag]                 trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf
2025-08-14T22:31:14.3146327Z  * [new tag]                 trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81
2025-08-14T22:31:14.3148164Z  * [new tag]                 trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0
2025-08-14T22:31:14.3149873Z  * [new tag]                 trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2
2025-08-14T22:31:14.3151519Z  * [new tag]                 trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3
2025-08-14T22:31:14.3153020Z  * [new tag]                 trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c
2025-08-14T22:31:14.3154591Z  * [new tag]                 trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24
2025-08-14T22:31:14.3156185Z  * [new tag]                 trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1
2025-08-14T22:31:14.3157795Z  * [new tag]                 trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f
2025-08-14T22:31:14.3159403Z  * [new tag]                 trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7
2025-08-14T22:31:14.3161021Z  * [new tag]                 trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a
2025-08-14T22:31:14.3162650Z  * [new tag]                 trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0
2025-08-14T22:31:14.3164594Z  * [new tag]                 trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff
2025-08-14T22:31:14.3165889Z  * [new tag]                 trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c
2025-08-14T22:31:14.3167445Z  * [new tag]                 trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd
2025-08-14T22:31:14.3168767Z  * [new tag]                 trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35
2025-08-14T22:31:14.3170312Z  * [new tag]                 trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4
2025-08-14T22:31:14.3171841Z  * [new tag]                 trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad
2025-08-14T22:31:14.3173391Z  * [new tag]                 trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f
2025-08-14T22:31:14.3174972Z  * [new tag]                 trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd
2025-08-14T22:31:14.3176474Z  * [new tag]                 trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8
2025-08-14T22:31:14.3177997Z  * [new tag]                 trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d
2025-08-14T22:31:14.3179534Z  * [new tag]                 trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948
2025-08-14T22:31:14.3181103Z  * [new tag]                 trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df
2025-08-14T22:31:14.3182673Z  * [new tag]                 trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98
2025-08-14T22:31:14.3184367Z  * [new tag]                 trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558
2025-08-14T22:31:14.3185925Z  * [new tag]                 trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168
2025-08-14T22:31:14.3187462Z  * [new tag]                 trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f
2025-08-14T22:31:14.3189026Z  * [new tag]                 trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58
2025-08-14T22:31:14.3190608Z  * [new tag]                 trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3
2025-08-14T22:31:14.3192276Z  * [new tag]                 trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a
2025-08-14T22:31:14.3193813Z  * [new tag]                 trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c
2025-08-14T22:31:14.3195335Z  * [new tag]                 trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4
2025-08-14T22:31:14.3196867Z  * [new tag]                 trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17
2025-08-14T22:31:14.3198161Z  * [new tag]                 trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b
2025-08-14T22:31:14.3200007Z  * [new tag]                 trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb
2025-08-14T22:31:14.3201520Z  * [new tag]                 trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2
2025-08-14T22:31:14.3203116Z  * [new tag]                 trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e
2025-08-14T22:31:14.3204822Z  * [new tag]                 trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c
2025-08-14T22:31:14.3206401Z  * [new tag]                 trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c
2025-08-14T22:31:14.3207913Z  * [new tag]                 trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76
2025-08-14T22:31:14.3209403Z  * [new tag]                 trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94
2025-08-14T22:31:14.3210885Z  * [new tag]                 trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35
2025-08-14T22:31:14.3212446Z  * [new tag]                 trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640
2025-08-14T22:31:14.3213983Z  * [new tag]                 trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5
2025-08-14T22:31:14.3215514Z  * [new tag]                 trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc
2025-08-14T22:31:14.3217698Z  * [new tag]                 trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe
2025-08-14T22:31:14.3218957Z  * [new tag]                 trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7
2025-08-14T22:31:14.3220626Z  * [new tag]                 trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c
2025-08-14T22:31:14.3222182Z  * [new tag]                 trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457
2025-08-14T22:31:14.3223700Z  * [new tag]                 trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344
2025-08-14T22:31:14.3225351Z  * [new tag]                 trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5
2025-08-14T22:31:14.3226937Z  * [new tag]                 trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb
2025-08-14T22:31:14.3229050Z  * [new tag]                 trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d
2025-08-14T22:31:14.3230686Z  * [new tag]                 trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b
2025-08-14T22:31:14.3232912Z  * [new tag]                 trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf
2025-08-14T22:31:14.3234456Z  * [new tag]                 trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb
2025-08-14T22:31:14.3236106Z  * [new tag]                 trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb
2025-08-14T22:31:14.3237711Z  * [new tag]                 trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08
2025-08-14T22:31:14.3239201Z  * [new tag]                 trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab
2025-08-14T22:31:14.3240682Z  * [new tag]                 trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393
2025-08-14T22:31:14.3241855Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-08-14T22:31:14.3243664Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-08-14T22:31:14.3244994Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-08-14T22:31:14.3246432Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-08-14T22:31:14.3247797Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-08-14T22:31:14.3249096Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-08-14T22:31:14.3250636Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-08-14T22:31:14.3252089Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-08-14T22:31:14.3253444Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-08-14T22:31:14.3254763Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-08-14T22:31:14.3256165Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-08-14T22:31:14.3257599Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-08-14T22:31:14.3259013Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-08-14T22:31:14.3260455Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-08-14T22:31:14.3261943Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-08-14T22:31:14.3263380Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-08-14T22:31:14.3264788Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-08-14T22:31:14.3266251Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-08-14T22:31:14.3267680Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-08-14T22:31:14.3269359Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-08-14T22:31:14.3270767Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-08-14T22:31:14.3271961Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-08-14T22:31:14.3273411Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-08-14T22:31:14.3274935Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-08-14T22:31:14.3276524Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-08-14T22:31:14.3278074Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-08-14T22:31:14.3279531Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-08-14T22:31:14.3280784Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-08-14T22:31:14.3282264Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-08-14T22:31:14.3283307Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-08-14T22:31:14.3284757Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-08-14T22:31:14.3286462Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-08-14T22:31:14.3287891Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-08-14T22:31:14.3289467Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-08-14T22:31:14.3290987Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-08-14T22:31:14.3292535Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-08-14T22:31:14.3294030Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-08-14T22:31:14.3295427Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-08-14T22:31:14.3296671Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-08-14T22:31:14.3298033Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-08-14T22:31:14.3299504Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-08-14T22:31:14.3300944Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-08-14T22:31:14.3302375Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-08-14T22:31:14.3303900Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-08-14T22:31:14.3305367Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-08-14T22:31:14.3306931Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-08-14T22:31:14.3308493Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-08-14T22:31:14.3309815Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-08-14T22:31:14.3311113Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-08-14T22:31:14.3312175Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-08-14T22:31:14.3313846Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-08-14T22:31:14.3315375Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-08-14T22:31:14.3316880Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-08-14T22:31:14.3318435Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-08-14T22:31:14.3319681Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-08-14T22:31:14.3321224Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-08-14T22:31:14.3322622Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-08-14T22:31:14.3323988Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-08-14T22:31:14.3325498Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-08-14T22:31:14.3327087Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-08-14T22:31:14.3328276Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-08-14T22:31:14.3329489Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-08-14T22:31:14.3336733Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-08-14T22:31:14.3337038Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-08-14T22:31:14.3337182Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-08-14T22:31:14.3337324Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-08-14T22:31:14.3337454Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-08-14T22:31:14.3337681Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-08-14T22:31:14.3339176Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-08-14T22:31:14.3340560Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-08-14T22:31:14.3342256Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-08-14T22:31:14.3346256Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-08-14T22:31:14.3347802Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-08-14T22:31:14.3349475Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-08-14T22:31:14.3350999Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-08-14T22:31:14.3352626Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-08-14T22:31:14.3353951Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-08-14T22:31:14.3355156Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-08-14T22:31:14.3356636Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-08-14T22:31:14.3357899Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-08-14T22:31:14.3359077Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-08-14T22:31:14.3360582Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-08-14T22:31:14.3362107Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-08-14T22:31:14.3363687Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-08-14T22:31:14.3365120Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-08-14T22:31:14.3366608Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-08-14T22:31:14.3368009Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-08-14T22:31:14.3369326Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-08-14T22:31:14.3370752Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-08-14T22:31:14.3372700Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-08-14T22:31:14.3373629Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-08-14T22:31:14.3375444Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-08-14T22:31:14.3376324Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-08-14T22:31:14.3378108Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-08-14T22:31:14.3379735Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-08-14T22:31:14.3381725Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-08-14T22:31:14.3382985Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-08-14T22:31:14.3384469Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-08-14T22:31:14.3385719Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-08-14T22:31:14.3387317Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-08-14T22:31:14.3388838Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-08-14T22:31:14.3390331Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-08-14T22:31:14.3391562Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-08-14T22:31:14.3392970Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-08-14T22:31:14.3394429Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-08-14T22:31:14.3395660Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-08-14T22:31:14.3396889Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-08-14T22:31:14.3398900Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-08-14T22:31:14.3400114Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-08-14T22:31:14.3401618Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-08-14T22:31:14.3403060Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-08-14T22:31:14.3404630Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-08-14T22:31:14.3406109Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-08-14T22:31:14.3407367Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-08-14T22:31:14.3408890Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-08-14T22:31:14.3410544Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-08-14T22:31:14.3411727Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-08-14T22:31:14.3413269Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-08-14T22:31:14.3414733Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-08-14T22:31:14.3416279Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-08-14T22:31:14.3417805Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-08-14T22:31:14.3419195Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-08-14T22:31:14.3420696Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-08-14T22:31:14.3421930Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-08-14T22:31:14.3423445Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-08-14T22:31:14.3424958Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-08-14T22:31:14.3426165Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-08-14T22:31:14.3427589Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-08-14T22:31:14.3428898Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-08-14T22:31:14.3430935Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-08-14T22:31:14.3432568Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-08-14T22:31:14.3433831Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-08-14T22:31:14.3435409Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-08-14T22:31:14.3436882Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-08-14T22:31:14.3438444Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-08-14T22:31:14.3439763Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-08-14T22:31:14.3441270Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-08-14T22:31:14.3443016Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-08-14T22:31:14.3444417Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-08-14T22:31:14.3446047Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-08-14T22:31:14.3447521Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-08-14T22:31:14.3448945Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-08-14T22:31:14.3450141Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-08-14T22:31:14.3451609Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-08-14T22:31:14.3453147Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-08-14T22:31:14.3454839Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-08-14T22:31:14.3455717Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-08-14T22:31:14.3457508Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-08-14T22:31:14.3458942Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-08-14T22:31:14.3460336Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-08-14T22:31:14.3461818Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-08-14T22:31:14.3463221Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-08-14T22:31:14.3464600Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-08-14T22:31:14.3466047Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-08-14T22:31:14.3467308Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-08-14T22:31:14.3468620Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-08-14T22:31:14.3470161Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-08-14T22:31:14.3471687Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-08-14T22:31:14.3472886Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-08-14T22:31:14.3474585Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-08-14T22:31:14.3475875Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-08-14T22:31:14.3477411Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-08-14T22:31:14.3478702Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-08-14T22:31:14.3479924Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-08-14T22:31:14.3481359Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-08-14T22:31:14.3482772Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-08-14T22:31:14.3484312Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-08-14T22:31:14.3485914Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-08-14T22:31:14.3487175Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-08-14T22:31:14.3488576Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-08-14T22:31:14.3490066Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-08-14T22:31:14.3491507Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-08-14T22:31:14.3493156Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-08-14T22:31:14.3494026Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-08-14T22:31:14.3495670Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-08-14T22:31:14.3497149Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-08-14T22:31:14.3498358Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-08-14T22:31:14.3499609Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-08-14T22:31:14.3501052Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-08-14T22:31:14.3502510Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-08-14T22:31:14.3503983Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-08-14T22:31:14.3505451Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-08-14T22:31:14.3506898Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-08-14T22:31:14.3508479Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-08-14T22:31:14.3509945Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-08-14T22:31:14.3511380Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-08-14T22:31:14.3512895Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-08-14T22:31:14.3514346Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-08-14T22:31:14.3515872Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-08-14T22:31:14.3517353Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-08-14T22:31:14.3518861Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-08-14T22:31:14.3520081Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-08-14T22:31:14.3521744Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-08-14T22:31:14.3523192Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-08-14T22:31:14.3524753Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-08-14T22:31:14.3526193Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-08-14T22:31:14.3527643Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-08-14T22:31:14.3528874Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-08-14T22:31:14.3530446Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-08-14T22:31:14.3532036Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-08-14T22:31:14.3533445Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-08-14T22:31:14.3534950Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-08-14T22:31:14.3536463Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-08-14T22:31:14.3537983Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-08-14T22:31:14.3539474Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-08-14T22:31:14.3541271Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-08-14T22:31:14.3546208Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-08-14T22:31:14.3547517Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-08-14T22:31:14.3548758Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-08-14T22:31:14.3550439Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-08-14T22:31:14.3551990Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-08-14T22:31:14.3553483Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-08-14T22:31:14.3554911Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-08-14T22:31:14.3556740Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-08-14T22:31:14.3558188Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-08-14T22:31:14.3559650Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-08-14T22:31:14.3561207Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-08-14T22:31:14.3562712Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-08-14T22:31:14.3564299Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-08-14T22:31:14.3565832Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-08-14T22:31:14.3567061Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-08-14T22:31:14.3568626Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-08-14T22:31:14.3570216Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-08-14T22:31:14.3572135Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-08-14T22:31:14.3573570Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-08-14T22:31:14.3575033Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-08-14T22:31:14.3576523Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-08-14T22:31:14.3578041Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-08-14T22:31:14.3579564Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-08-14T22:31:14.3580779Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-08-14T22:31:14.3582398Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-08-14T22:31:14.3584081Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-08-14T22:31:14.3585637Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-08-14T22:31:14.3587244Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-08-14T22:31:14.3588787Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-08-14T22:31:14.3590131Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-08-14T22:31:14.3591804Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-08-14T22:31:14.3593088Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-08-14T22:31:14.3594654Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-08-14T22:31:14.3596145Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-08-14T22:31:14.3597752Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-08-14T22:31:14.3599312Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-08-14T22:31:14.3600786Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-08-14T22:31:14.3602381Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-08-14T22:31:14.3603786Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-08-14T22:31:14.3605116Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-08-14T22:31:14.3606496Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-08-14T22:31:14.4684141Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object}
2025-08-14T22:31:14.4717366Z 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:31:14.4723117Z ##[endgroup]
2025-08-14T22:31:14.4723386Z ##[group]Determining the checkout info
2025-08-14T22:31:14.4724825Z ##[endgroup]
2025-08-14T22:31:14.4729165Z [command]/usr/bin/git sparse-checkout disable
2025-08-14T22:31:14.4785010Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-08-14T22:31:14.4817948Z ##[group]Checking out the ref
2025-08-14T22:31:14.4821252Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:31:15.5083156Z Updating files:  70% (13816/19474)
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2025-08-14T22:31:16.1310358Z Updating files: 100% (19474/19474), done.
2025-08-14T22:31:16.1588374Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'.
2025-08-14T22:31:16.1589080Z 
2025-08-14T22:31:16.1589290Z You are in 'detached HEAD' state. You can look around, make experimental
2025-08-14T22:31:16.1589792Z changes and commit them, and you can discard any commits you make in this
2025-08-14T22:31:16.1590295Z state without impacting any branches by switching back to a branch.
2025-08-14T22:31:16.1590592Z 
2025-08-14T22:31:16.1590786Z If you want to create a new branch to retain commits you create, you may
2025-08-14T22:31:16.1591258Z do so (now or later) by using -c with the switch command. Example:
2025-08-14T22:31:16.1591527Z 
2025-08-14T22:31:16.1591638Z   git switch -c <new-branch-name>
2025-08-14T22:31:16.1591828Z 
2025-08-14T22:31:16.1591937Z Or undo this operation with:
2025-08-14T22:31:16.1592106Z 
2025-08-14T22:31:16.1592192Z   git switch -
2025-08-14T22:31:16.1592326Z 
2025-08-14T22:31:16.1592563Z Turn off this advice by setting config variable advice.detachedHead to false
2025-08-14T22:31:16.1592894Z 
2025-08-14T22:31:16.1593255Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645)
2025-08-14T22:31:16.1759053Z ##[endgroup]
2025-08-14T22:31:16.1759471Z ##[group]Setting up auth for fetching submodules
2025-08-14T22:31:16.1766177Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-14T22:31:16.1817608Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-08-14T22:31:16.1853318Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-08-14T22:31:16.1887900Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-08-14T22:31:16.1925011Z ##[endgroup]
2025-08-14T22:31:16.1925520Z ##[group]Fetching submodules
2025-08-14T22:31:16.1928293Z [command]/usr/bin/git submodule sync --recursive
2025-08-14T22:31:16.2347990Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-08-14T22:31:16.2759586Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-08-14T22:31:16.2763166Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-08-14T22:31:16.2834924Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-08-14T22:31:16.2839806Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-08-14T22:31:16.2845365Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-08-14T22:31:16.2850809Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-08-14T22:31:16.2861382Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-08-14T22:31:16.2867076Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-08-14T22:31:16.2872765Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-08-14T22:31:16.2878285Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-08-14T22:31:16.2888886Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-08-14T22:31:16.2894473Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-08-14T22:31:16.2900395Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-08-14T22:31:16.2906012Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-08-14T22:31:16.2918686Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-08-14T22:31:16.2924679Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-08-14T22:31:16.2934338Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-08-14T22:31:16.2940307Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-08-14T22:31:16.2952019Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-08-14T22:31:16.2957998Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-08-14T22:31:16.2964345Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-08-14T22:31:16.2970706Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-08-14T22:31:16.2982471Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-08-14T22:31:16.2989156Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-08-14T22:31:16.2995776Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-08-14T22:31:16.3002393Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-08-14T22:31:16.3014472Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-08-14T22:31:16.3021119Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-08-14T22:31:16.3028287Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-08-14T22:31:16.3035126Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-08-14T22:31:16.3047864Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-08-14T22:31:16.3054947Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-08-14T22:31:16.3062271Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-08-14T22:31:16.3073221Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-08-14T22:31:16.3085748Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-08-14T22:31:16.3093080Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-08-14T22:31:16.3100766Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-08-14T22:31:16.3142463Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-08-14T22:31:16.5754312Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-08-14T22:31:16.5755451Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-08-14T22:31:16.5804379Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-08-14T22:31:19.6206902Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-08-14T22:31:19.6209124Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-08-14T22:31:19.6210443Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-08-14T22:31:19.6211633Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-08-14T22:31:19.6212838Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-08-14T22:31:19.6214138Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-08-14T22:31:19.6215464Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-08-14T22:31:19.6216757Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-08-14T22:31:19.6218017Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-08-14T22:31:19.6219285Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-08-14T22:31:19.6220541Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-08-14T22:31:19.6222353Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-08-14T22:31:19.6223673Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-08-14T22:31:19.6224972Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-08-14T22:31:19.6226238Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-08-14T22:31:19.6227507Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-08-14T22:31:19.6228866Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-08-14T22:31:19.6230281Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-08-14T22:31:19.6231664Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-08-14T22:31:19.7208090Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-08-14T22:31:20.0970146Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-08-14T22:31:20.1972241Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-08-14T22:31:34.2791238Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-08-14T22:31:34.2792588Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-08-14T22:31:34.2793725Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-08-14T22:31:34.2794905Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-08-14T22:31:34.2796028Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-08-14T22:31:34.2797251Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-08-14T22:31:34.2798445Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-08-14T22:31:34.2799545Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-08-14T22:31:34.2800678Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-08-14T22:31:34.2801856Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-08-14T22:31:34.3792011Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-08-14T22:31:36.7453710Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-08-14T22:31:36.7626503Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-08-14T22:31:36.7763558Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-08-14T22:31:36.8114578Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-08-14T22:31:36.9090555Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-08-14T22:31:36.9691219Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-08-14T22:31:37.9413355Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-08-14T22:31:38.1278788Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-08-14T22:31:38.1303801Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T22:31:38.1345550Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-08-14T22:31:41.6698715Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-08-14T22:31:41.7020000Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-08-14T22:31:42.1317243Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-08-14T22:31:42.1980226Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c'
2025-08-14T22:31:42.3167575Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
2025-08-14T22:31:42.3711809Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6'
2025-08-14T22:31:43.1720427Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491'
2025-08-14T22:31:43.3531699Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067'
2025-08-14T22:31:43.3557351Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-08-14T22:31:43.3561383Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-08-14T22:31:43.3565286Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-08-14T22:31:43.3569222Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-08-14T22:31:43.3573368Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-08-14T22:31:43.3577718Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-08-14T22:31:43.3581829Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-08-14T22:31:43.3617744Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-08-14T22:31:44.7106167Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-08-14T22:31:44.7107309Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-08-14T22:31:44.7108464Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-08-14T22:31:44.8106916Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-08-14T22:31:44.9463418Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-08-14T22:31:45.9088351Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-08-14T22:31:50.7937525Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-08-14T22:31:51.1517372Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9'
2025-08-14T22:31:51.2720479Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-08-14T22:31:52.0549984Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad'
2025-08-14T22:31:52.1119663Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-14T22:31:52.1285379Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c'
2025-08-14T22:31:52.2681552Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-08-14T22:31:52.3621134Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-08-14T22:31:52.3646717Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T22:31:52.3650225Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-08-14T22:31:52.3684900Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-08-14T22:31:55.5212108Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-08-14T22:31:55.8556615Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-08-14T22:31:56.5731909Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-08-14T22:31:56.7594987Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-08-14T22:31:56.8015014Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-08-14T22:31:56.8504467Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-08-14T22:31:56.8856113Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2'
2025-08-14T22:31:56.9418027Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-14T22:31:56.9600258Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-08-14T22:31:56.9622595Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-08-14T22:31:56.9657355Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-08-14T22:32:09.2371167Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-08-14T22:32:09.2666704Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-08-14T22:32:09.3748439Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658'
2025-08-14T22:32:09.3774527Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T22:32:09.3777885Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T22:32:09.3782021Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T22:32:09.3818355Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-08-14T22:32:10.0829585Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-08-14T22:32:10.8147408Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-08-14T22:32:10.9128675Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e'
2025-08-14T22:32:10.9151645Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T22:32:10.9155830Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T22:32:10.9160167Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T22:32:10.9164602Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T22:32:10.9169126Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T22:32:10.9173755Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T22:32:10.9178333Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T22:32:10.9183327Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T22:32:10.9220033Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-08-14T22:32:12.2963009Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-08-14T22:32:12.2964891Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-08-14T22:32:12.2966674Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-08-14T22:32:12.2968470Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-08-14T22:32:12.2970374Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-08-14T22:32:12.3962962Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-08-14T22:32:12.5356983Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-08-14T22:32:18.6550262Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-08-14T22:32:18.6803388Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-08-14T22:32:18.7265287Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-08-14T22:32:18.7456446Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-08-14T22:32:18.7480064Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T22:32:18.7516674Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-08-14T22:32:19.0330317Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-08-14T22:32:19.0586650Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-08-14T22:32:19.1116438Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850'
2025-08-14T22:32:19.2381381Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-08-14T22:32:19.2612278Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-08-14T22:32:19.3086216Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164'
2025-08-14T22:32:19.3793634Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347'
2025-08-14T22:32:19.4365638Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-08-14T22:32:19.4867539Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-08-14T22:32:19.6366183Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-08-14T22:32:20.2499636Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-08-14T22:32:20.2543014Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-08-14T22:32:20.2582783Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-08-14T22:32:21.2425071Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-08-14T22:32:21.3401578Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-08-14T22:32:21.3426130Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T22:32:21.3430105Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T22:32:21.3433940Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T22:32:21.3438091Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T22:32:21.3442523Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T22:32:21.3446889Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T22:32:21.3451548Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T22:32:21.3455649Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T22:32:21.3490768Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-08-14T22:32:21.7849780Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-08-14T22:32:21.7851594Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-08-14T22:32:21.7853031Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
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2025-08-14T22:32:37.9695811Z ##[endgroup]
2025-08-14T22:32:37.9696247Z ##[group]Persisting credentials for submodules
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2025-08-14T22:32:38.5010934Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T22:32:38.5090335Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
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2025-08-14T22:32:38.6492353Z [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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2025-08-14T22:32:38.7269346Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
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2025-08-14T22:32:38.7489438Z Entering 'third_party/XNNPACK'
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2025-08-14T22:32:38.8936418Z Entering 'third_party/fbgemm/external/googletest'
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2025-08-14T22:32:39.0609304Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config	remote.origin.url
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2025-08-14T22:32:39.0930009Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
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2025-08-14T22:32:39.1129550Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
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2025-08-14T22:32:39.1325890Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T22:32:39.1398290Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config	remote.origin.url
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2025-08-14T22:32:39.1497687Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config	remote.origin.url
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2025-08-14T22:32:39.1593279Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config	remote.origin.url
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2025-08-14T22:32:39.2111283Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2025-08-14T22:32:39.2142771Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T22:32:39.2217751Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config	remote.origin.url
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2025-08-14T22:32:39.2314885Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config	remote.origin.url
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2025-08-14T22:32:39.2414595Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config	remote.origin.url
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2025-08-14T22:32:39.2511239Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config	remote.origin.url
2025-08-14T22:32:39.2535141Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
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2025-08-14T22:32:39.2829330Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
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2025-08-14T22:32:39.2995712Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config	remote.origin.url
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2025-08-14T22:32:39.3508129Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
2025-08-14T22:32:39.3532320Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T22:32:39.3603559Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
2025-08-14T22:32:39.3632224Z Entering 'third_party/psimd'
2025-08-14T22:32:39.3703442Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2025-08-14T22:32:39.3729107Z Entering 'third_party/pthreadpool'
2025-08-14T22:32:39.3802586Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
2025-08-14T22:32:39.3827051Z Entering 'third_party/pybind11'
2025-08-14T22:32:39.3899348Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
2025-08-14T22:32:39.3925597Z Entering 'third_party/python-peachpy'
2025-08-14T22:32:39.3997747Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config	remote.origin.url
2025-08-14T22:32:39.4022952Z Entering 'third_party/sleef'
2025-08-14T22:32:39.4095696Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config	remote.origin.url
2025-08-14T22:32:39.4120817Z Entering 'third_party/tensorpipe'
2025-08-14T22:32:39.4193482Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
2025-08-14T22:32:39.4216539Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T22:32:39.4288741Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2025-08-14T22:32:39.4313390Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T22:32:39.4385326Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2025-08-14T22:32:39.4408927Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T22:32:39.4480100Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2025-08-14T22:32:39.4504009Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T22:32:39.4578372Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2025-08-14T22:32:39.4600491Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T22:32:39.4672265Z 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
2025-08-14T22:32:39.5384973Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-08-14T22:32:39.5790827Z Entering 'android/libs/fbjni'
2025-08-14T22:32:39.5850385Z Entering 'third_party/FP16'
2025-08-14T22:32:39.5911569Z Entering 'third_party/FXdiv'
2025-08-14T22:32:39.5972649Z Entering 'third_party/NNPACK'
2025-08-14T22:32:39.6034734Z Entering 'third_party/NVTX'
2025-08-14T22:32:39.6096258Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-14T22:32:39.6157850Z Entering 'third_party/XNNPACK'
2025-08-14T22:32:39.6232773Z Entering 'third_party/aiter'
2025-08-14T22:32:39.6294216Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T22:32:39.6366264Z Entering 'third_party/benchmark'
2025-08-14T22:32:39.6427741Z Entering 'third_party/composable_kernel'
2025-08-14T22:32:39.6496593Z Entering 'third_party/cpp-httplib'
2025-08-14T22:32:39.6556857Z Entering 'third_party/cpuinfo'
2025-08-14T22:32:39.6618149Z Entering 'third_party/cudnn_frontend'
2025-08-14T22:32:39.6679221Z Entering 'third_party/cutlass'
2025-08-14T22:32:39.6751151Z Entering 'third_party/fbgemm'
2025-08-14T22:32:39.6816758Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-14T22:32:39.6875213Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-14T22:32:39.6941177Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-14T22:32:39.7000359Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-14T22:32:39.7066962Z Entering 'third_party/fbgemm/external/googletest'
2025-08-14T22:32:39.7124674Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-14T22:32:39.7181907Z Entering 'third_party/fbgemm/external/json'
2025-08-14T22:32:39.7249329Z Entering 'third_party/flash-attention'
2025-08-14T22:32:39.7311367Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T22:32:39.7374955Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-14T22:32:39.7444839Z Entering 'third_party/flatbuffers'
2025-08-14T22:32:39.7508854Z Entering 'third_party/fmt'
2025-08-14T22:32:39.7570397Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-14T22:32:39.7630902Z Entering 'third_party/gloo'
2025-08-14T22:32:39.7691923Z Entering 'third_party/googletest'
2025-08-14T22:32:39.7752594Z Entering 'third_party/ideep'
2025-08-14T22:32:39.7811710Z Entering 'third_party/ideep/mkl-dnn'
2025-08-14T22:32:39.7883306Z Entering 'third_party/ittapi'
2025-08-14T22:32:39.7944324Z Entering 'third_party/kineto'
2025-08-14T22:32:39.8006092Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T22:32:39.8064406Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T22:32:39.8124462Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T22:32:39.8183711Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T22:32:39.8246586Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T22:32:39.8303033Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T22:32:39.8367031Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T22:32:39.8425387Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T22:32:39.8484756Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T22:32:39.8543929Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T22:32:39.8607222Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T22:32:39.8666472Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T22:32:39.8730850Z Entering 'third_party/kleidiai'
2025-08-14T22:32:39.8795403Z Entering 'third_party/mimalloc'
2025-08-14T22:32:39.8856493Z Entering 'third_party/nlohmann'
2025-08-14T22:32:39.8919352Z Entering 'third_party/onnx'
2025-08-14T22:32:39.8995883Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-14T22:32:39.9061830Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T22:32:39.9124310Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T22:32:39.9183445Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T22:32:39.9242827Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T22:32:39.9300539Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T22:32:39.9358743Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T22:32:39.9415708Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T22:32:39.9473592Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T22:32:39.9529507Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T22:32:39.9596907Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T22:32:39.9660882Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T22:32:39.9744738Z Entering 'third_party/pocketfft'
2025-08-14T22:32:39.9806014Z Entering 'third_party/protobuf'
2025-08-14T22:32:39.9869990Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T22:32:39.9928161Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T22:32:39.9991741Z Entering 'third_party/psimd'
2025-08-14T22:32:40.0055496Z Entering 'third_party/pthreadpool'
2025-08-14T22:32:40.0115766Z Entering 'third_party/pybind11'
2025-08-14T22:32:40.0177623Z Entering 'third_party/python-peachpy'
2025-08-14T22:32:40.0237701Z Entering 'third_party/sleef'
2025-08-14T22:32:40.0298506Z Entering 'third_party/tensorpipe'
2025-08-14T22:32:40.0361819Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T22:32:40.0419519Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T22:32:40.0478179Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T22:32:40.0534757Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T22:32:40.0590679Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T22:32:40.0677028Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-08-14T22:32:40.1072754Z Entering 'android/libs/fbjni'
2025-08-14T22:32:40.1132927Z Entering 'third_party/FP16'
2025-08-14T22:32:40.1194602Z Entering 'third_party/FXdiv'
2025-08-14T22:32:40.1254607Z Entering 'third_party/NNPACK'
2025-08-14T22:32:40.1314864Z Entering 'third_party/NVTX'
2025-08-14T22:32:40.1376006Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-14T22:32:40.1435781Z Entering 'third_party/XNNPACK'
2025-08-14T22:32:40.1513114Z Entering 'third_party/aiter'
2025-08-14T22:32:40.1574858Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T22:32:40.1644343Z Entering 'third_party/benchmark'
2025-08-14T22:32:40.1704777Z Entering 'third_party/composable_kernel'
2025-08-14T22:32:40.1773912Z Entering 'third_party/cpp-httplib'
2025-08-14T22:32:40.1834416Z Entering 'third_party/cpuinfo'
2025-08-14T22:32:40.1894811Z Entering 'third_party/cudnn_frontend'
2025-08-14T22:32:40.1955734Z Entering 'third_party/cutlass'
2025-08-14T22:32:40.2026071Z Entering 'third_party/fbgemm'
2025-08-14T22:32:40.2106811Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-14T22:32:40.2165602Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-14T22:32:40.2232956Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-14T22:32:40.2291685Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-14T22:32:40.2359699Z Entering 'third_party/fbgemm/external/googletest'
2025-08-14T22:32:40.2417403Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-14T22:32:40.2480468Z Entering 'third_party/fbgemm/external/json'
2025-08-14T22:32:40.2544934Z Entering 'third_party/flash-attention'
2025-08-14T22:32:40.2603915Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T22:32:40.2672261Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-14T22:32:40.2742424Z Entering 'third_party/flatbuffers'
2025-08-14T22:32:40.2809391Z Entering 'third_party/fmt'
2025-08-14T22:32:40.2872230Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-14T22:32:40.2933086Z Entering 'third_party/gloo'
2025-08-14T22:32:40.2994595Z Entering 'third_party/googletest'
2025-08-14T22:32:40.3055374Z Entering 'third_party/ideep'
2025-08-14T22:32:40.3117378Z Entering 'third_party/ideep/mkl-dnn'
2025-08-14T22:32:40.3188385Z Entering 'third_party/ittapi'
2025-08-14T22:32:40.3249183Z Entering 'third_party/kineto'
2025-08-14T22:32:40.3309990Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T22:32:40.3373073Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T22:32:40.3432960Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T22:32:40.3492167Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T22:32:40.3551734Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T22:32:40.3609480Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T22:32:40.3675159Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T22:32:40.3735203Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T22:32:40.3793693Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T22:32:40.3852901Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T22:32:40.3915500Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T22:32:40.3972669Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T22:32:40.4035422Z Entering 'third_party/kleidiai'
2025-08-14T22:32:40.4097491Z Entering 'third_party/mimalloc'
2025-08-14T22:32:40.4159026Z Entering 'third_party/nlohmann'
2025-08-14T22:32:40.4220991Z Entering 'third_party/onnx'
2025-08-14T22:32:40.4299517Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-14T22:32:40.4367421Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T22:32:40.4430888Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T22:32:40.4492715Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T22:32:40.4552110Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T22:32:40.4609652Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T22:32:40.4669119Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T22:32:40.4726171Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T22:32:40.4783980Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T22:32:40.4843345Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T22:32:40.4902972Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T22:32:40.4965986Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T22:32:40.5045724Z Entering 'third_party/pocketfft'
2025-08-14T22:32:40.5108771Z Entering 'third_party/protobuf'
2025-08-14T22:32:40.5172016Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T22:32:40.5229841Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T22:32:40.5293252Z Entering 'third_party/psimd'
2025-08-14T22:32:40.5354995Z Entering 'third_party/pthreadpool'
2025-08-14T22:32:40.5414425Z Entering 'third_party/pybind11'
2025-08-14T22:32:40.5477052Z Entering 'third_party/python-peachpy'
2025-08-14T22:32:40.5538014Z Entering 'third_party/sleef'
2025-08-14T22:32:40.5599057Z Entering 'third_party/tensorpipe'
2025-08-14T22:32:40.5659923Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T22:32:40.5717519Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T22:32:40.5775869Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T22:32:40.5833360Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T22:32:40.5889954Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T22:32:40.5973976Z ##[endgroup]
2025-08-14T22:32:40.6021198Z [command]/usr/bin/git log -1 --format=%H
2025-08-14T22:32:40.6053719Z 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:32:40.6265704Z Prepare all required actions
2025-08-14T22:32:40.6266212Z Getting action download info
2025-08-14T22:32:40.7530366Z ##[group]Run ./.github/actions/setup-linux
2025-08-14T22:32:40.7530673Z env:
2025-08-14T22:32:40.7530885Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:40.7531130Z ##[endgroup]
2025-08-14T22:32:40.7567399Z ##[group]Run set -euo pipefail
2025-08-14T22:32:40.7567715Z set -euo pipefail
2025-08-14T22:32:40.7567999Z function get_ec2_metadata() {
2025-08-14T22:32:40.7568349Z   # Pulled from instance metadata endpoint for EC2
2025-08-14T22:32:40.7568939Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-08-14T22:32:40.7569463Z   category=$1
2025-08-14T22:32:40.7569802Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-08-14T22:32:40.7570209Z   runner_name_str=i-01122f98913b6cb8e
2025-08-14T22:32:40.7570576Z   if [[ -f /.inarc ]]; then
2025-08-14T22:32:40.7570906Z     echo "ARC Runner, no info on ec2 metadata"
2025-08-14T22:32:40.7571456Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-08-14T22:32:40.7571902Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-08-14T22:32:40.7572303Z   else
2025-08-14T22:32:40.7573083Z     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}"
2025-08-14T22:32:40.7573925Z   fi
2025-08-14T22:32:40.7574135Z }
2025-08-14T22:32:40.7574386Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-08-14T22:32:40.7574791Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-08-14T22:32:40.7575244Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-08-14T22:32:40.7575632Z echo "system info $(uname -a)"
2025-08-14T22:32:40.7588997Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:40.7589354Z env:
2025-08-14T22:32:40.7589558Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:40.7589797Z ##[endgroup]
2025-08-14T22:32:40.7777473Z ami-id: ami-05ffe3c48a9991133
2025-08-14T22:32:40.7909342Z instance-id: i-01122f98913b6cb8e
2025-08-14T22:32:40.8032346Z instance-type: g5.4xlarge
2025-08-14T22:32:40.8048306Z system info Linux ip-10-0-24-162.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-08-14T22:32:40.8071187Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T22:32:40.8072019Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T22:32:40.8081432Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:40.8081786Z env:
2025-08-14T22:32:40.8081983Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:40.8082228Z ##[endgroup]
2025-08-14T22:32:40.8152585Z ##[group]Run if systemctl is-active --quiet docker; then
2025-08-14T22:32:40.8152998Z if systemctl is-active --quiet docker; then
2025-08-14T22:32:40.8153363Z     echo "Docker daemon is running...";
2025-08-14T22:32:40.8153667Z else
2025-08-14T22:32:40.8153994Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-08-14T22:32:40.8154379Z fi
2025-08-14T22:32:40.8162688Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:40.8163027Z env:
2025-08-14T22:32:40.8163235Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:40.8163478Z ##[endgroup]
2025-08-14T22:32:40.8267145Z Docker daemon is running...
2025-08-14T22:32:40.8307568Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-14T22:32:40.8307863Z with:
2025-08-14T22:32:40.8308058Z   shell: bash
2025-08-14T22:32:40.8308614Z   timeout_minutes: 5
2025-08-14T22:32:40.8308864Z   max_attempts: 3
2025-08-14T22:32:40.8309108Z   retry_wait_seconds: 30
2025-08-14T22:32:40.8311193Z   command: AWS_ACCOUNT_ID=$(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

2025-08-14T22:32:40.8313274Z   polling_interval_seconds: 1
2025-08-14T22:32:40.8313549Z   warning_on_retry: true
2025-08-14T22:32:40.8313806Z   continue_on_error: false
2025-08-14T22:32:40.8314040Z env:
2025-08-14T22:32:40.8314256Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:40.8314513Z   AWS_RETRY_MODE: standard
2025-08-14T22:32:40.8314910Z   AWS_MAX_ATTEMPTS: 5
2025-08-14T22:32:40.8315159Z   AWS_DEFAULT_REGION: us-east-1
2025-08-14T22:32:40.8315423Z ##[endgroup]
2025-08-14T22:32:41.9826655Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T22:32:41.9827304Z Configure a credential helper to remove this warning. See
2025-08-14T22:32:41.9827893Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T22:32:41.9828247Z 
2025-08-14T22:32:41.9828420Z Login Succeeded
2025-08-14T22:32:42.9156514Z Command completed after 1 attempt(s).
2025-08-14T22:32:42.9225119Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T22:32:42.9225614Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T22:32:42.9226054Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T22:32:42.9235272Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:42.9235632Z env:
2025-08-14T22:32:42.9235857Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:42.9236104Z ##[endgroup]
2025-08-14T22:32:42.9333095Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T22:32:42.9333625Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T22:32:42.9334029Z # shellcheck disable=SC2046
2025-08-14T22:32:42.9334347Z docker stop $(docker ps -q) || true
2025-08-14T22:32:42.9334670Z # Prune all of the docker images
2025-08-14T22:32:42.9334981Z docker system prune -af
2025-08-14T22:32:42.9343896Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:42.9344240Z env:
2025-08-14T22:32:42.9344449Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:42.9344704Z ##[endgroup]
2025-08-14T22:32:42.9659143Z "docker stop" requires at least 1 argument.
2025-08-14T22:32:42.9659523Z See 'docker stop --help'.
2025-08-14T22:32:42.9659688Z 
2025-08-14T22:32:42.9659868Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-08-14T22:32:42.9660137Z 
2025-08-14T22:32:42.9660240Z Stop one or more running containers
2025-08-14T22:32:42.9970284Z Total reclaimed space: 0B
2025-08-14T22:32:43.0014045Z ##[group]Run set +e
2025-08-14T22:32:43.0014309Z set +e
2025-08-14T22:32:43.0014525Z set -x
2025-08-14T22:32:43.0014730Z 
2025-08-14T22:32:43.0014955Z PT_DOMAIN=download.pytorch.org
2025-08-14T22:32:43.0015490Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400,
2025-08-14T22:32:43.0016179Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last
2025-08-14T22:32:43.0016657Z # one is returned at random
2025-08-14T22:32:43.0017019Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1)
2025-08-14T22:32:43.0017374Z 
2025-08-14T22:32:43.0017978Z if [ -z "${RESOLVED_IP}" ]; then
2025-08-14T22:32:43.0018525Z   echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..."
2025-08-14T22:32:43.0019021Z   RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1)
2025-08-14T22:32:43.0019375Z 
2025-08-14T22:32:43.0019594Z   if [ -z "${RESOLVED_IP}" ]; then
2025-08-14T22:32:43.0019944Z     echo "Couldn't resolve ${PT_DOMAIN}, exiting..."
2025-08-14T22:32:43.0020281Z     exit 1
2025-08-14T22:32:43.0020494Z   fi
2025-08-14T22:32:43.0020682Z fi
2025-08-14T22:32:43.0020868Z 
2025-08-14T22:32:43.0021105Z if grep -r "${PT_DOMAIN}" /etc/hosts; then
2025-08-14T22:32:43.0021436Z   # Clean up any old records first
2025-08-14T22:32:43.0021772Z   sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts
2025-08-14T22:32:43.0022067Z fi
2025-08-14T22:32:43.0022253Z 
2025-08-14T22:32:43.0022539Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts
2025-08-14T22:32:43.0022902Z cat /etc/hosts
2025-08-14T22:32:43.0032140Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:43.0032473Z env:
2025-08-14T22:32:43.0032669Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:43.0032912Z ##[endgroup]
2025-08-14T22:32:43.0066802Z + PT_DOMAIN=download.pytorch.org
2025-08-14T22:32:43.0073190Z ++ dig -4 +short download.pytorch.org
2025-08-14T22:32:43.0075151Z ++ tail -n1
2025-08-14T22:32:43.0359326Z + RESOLVED_IP=18.160.10.22
2025-08-14T22:32:43.0359622Z + '[' -z 18.160.10.22 ']'
2025-08-14T22:32:43.0359897Z + grep -r download.pytorch.org /etc/hosts
2025-08-14T22:32:43.0381045Z + echo '18.160.10.22 download.pytorch.org'
2025-08-14T22:32:43.0381643Z + sudo tee -a /etc/hosts
2025-08-14T22:32:43.4355189Z 18.160.10.22 download.pytorch.org
2025-08-14T22:32:43.4379951Z + cat /etc/hosts
2025-08-14T22:32:43.4392795Z 127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
2025-08-14T22:32:43.4399085Z ::1         localhost6 localhost6.localdomain6
2025-08-14T22:32:43.4399423Z 18.160.10.22 download.pytorch.org
2025-08-14T22:32:43.4553171Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-08-14T22:32:43.4553608Z with:
2025-08-14T22:32:43.4554458Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:43.4555411Z   use-custom-docker-registry: true
2025-08-14T22:32:43.4555718Z   docker-build-dir: .ci/docker
2025-08-14T22:32:43.4556007Z   docker-build-script: ./build.sh
2025-08-14T22:32:43.4556293Z   working-directory: .
2025-08-14T22:32:43.4556620Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:43.4556999Z   force-push: false
2025-08-14T22:32:43.4557216Z env:
2025-08-14T22:32:43.4557417Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:43.4557686Z ##[endgroup]
2025-08-14T22:32:43.4575267Z ##[group]Run set -ex
2025-08-14T22:32:43.4575541Z set -ex
2025-08-14T22:32:43.4575766Z 
2025-08-14T22:32:43.4576211Z # If the docker build directory or the build script doesn't exist, the action will
2025-08-14T22:32:43.4576828Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-08-14T22:32:43.4577358Z # job could then download the pre-built image as usual
2025-08-14T22:32:43.4577988Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-08-14T22:32:43.4578588Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:43.4578891Z else
2025-08-14T22:32:43.4579146Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:43.4579566Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:43.4579944Z 
2025-08-14T22:32:43.4580453Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-08-14T22:32:43.4581035Z   exit 0
2025-08-14T22:32:43.4581251Z fi
2025-08-14T22:32:43.4581445Z 
2025-08-14T22:32:43.4581760Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-08-14T22:32:43.4582317Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-08-14T22:32:43.4582812Z   # use it as it is, but first let's extract the tag
2025-08-14T22:32:43.4583254Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-08-14T22:32:43.4583738Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:43.4584194Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:43.4584568Z else
2025-08-14T22:32:43.4584817Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-08-14T22:32:43.4585183Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-08-14T22:32:43.4585742Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-08-14T22:32:43.4586055Z   fi
2025-08-14T22:32:43.4586481Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-08-14T22:32:43.4587052Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:43.4587645Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:43.4588405Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:43.4588816Z fi
2025-08-14T22:32:43.4603181Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:43.4603527Z env:
2025-08-14T22:32:43.4603736Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:43.4603994Z   REPO_NAME: pytorch
2025-08-14T22:32:43.4605010Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:43.4605945Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-14T22:32:43.4606224Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-08-14T22:32:43.4606588Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:43.4606963Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-08-14T22:32:43.4607243Z   CUSTOM_TAG_PREFIX: 
2025-08-14T22:32:43.4607476Z ##[endgroup]
2025-08-14T22:32:43.4638413Z + [[ -d .ci/docker ]]
2025-08-14T22:32:43.4638683Z + [[ -f .ci/docker/./build.sh ]]
2025-08-14T22:32:43.4638947Z + [[ true == \t\r\u\e ]]
2025-08-14T22:32:43.4639173Z + echo skip=false
2025-08-14T22:32:43.4640267Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe == *\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* ]]
2025-08-14T22:32:43.4651181Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:43.4652083Z ++ awk -F '[:,]' '{print $2}'
2025-08-14T22:32:43.4683758Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:43.4684854Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:43.4686171Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:43.4711158Z ##[group]Run set +e
2025-08-14T22:32:43.4711442Z set +e
2025-08-14T22:32:43.4711659Z set -x
2025-08-14T22:32:43.4711857Z 
2025-08-14T22:32:43.4712057Z login() {
2025-08-14T22:32:43.4712523Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-14T22:32:43.4713015Z }
2025-08-14T22:32:43.4713223Z 
2025-08-14T22:32:43.4713426Z retry () {
2025-08-14T22:32:43.4713681Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-14T22:32:43.4713981Z }
2025-08-14T22:32:43.4714185Z 
2025-08-14T22:32:43.4714405Z retry login "${DOCKER_REGISTRY}"
2025-08-14T22:32:43.4714698Z 
2025-08-14T22:32:43.4714914Z START_TIME=$(date +%s)
2025-08-14T22:32:43.4715198Z # Wait up to 120 minutes
2025-08-14T22:32:43.4715539Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-08-14T22:32:43.4715997Z   # Check if image already exists, if it does then skip building it
2025-08-14T22:32:43.4716453Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-08-14T22:32:43.4716790Z     exit 0
2025-08-14T22:32:43.4717018Z   fi
2025-08-14T22:32:43.4717422Z 
2025-08-14T22:32:43.4717818Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-08-14T22:32:43.4718453Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-08-14T22:32:43.4719063Z   # latter, it will wait for the Docker images to become available before continuing
2025-08-14T22:32:43.4719551Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-08-14T22:32:43.4719924Z     # It's a Docker build job, let's build the image
2025-08-14T22:32:43.4720254Z     break
2025-08-14T22:32:43.4720484Z   else
2025-08-14T22:32:43.4731833Z     # It's a regular build job, wait for the image to become available
2025-08-14T22:32:43.4732266Z     sleep 300
2025-08-14T22:32:43.4732503Z   fi
2025-08-14T22:32:43.4732719Z done
2025-08-14T22:32:43.4732929Z 
2025-08-14T22:32:43.4733467Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-08-14T22:32:43.4734002Z # be empty.  The default action would be to continue rebuild the image
2025-08-14T22:32:43.4734486Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-08-14T22:32:43.4734914Z   # if we're on the base branch then use the parent commit
2025-08-14T22:32:43.4735286Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-08-14T22:32:43.4735586Z else
2025-08-14T22:32:43.4735895Z   # otherwise we're on a PR, so use the most recent base commit
2025-08-14T22:32:43.4736346Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-08-14T22:32:43.4736678Z fi
2025-08-14T22:32:43.4736883Z 
2025-08-14T22:32:43.4737111Z if [[ -z "${MERGE_BASE}" ]]; then
2025-08-14T22:32:43.4737437Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:43.4737793Z 
2025-08-14T22:32:43.4738234Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-08-14T22:32:43.4738744Z   exit 0
2025-08-14T22:32:43.4738948Z fi
2025-08-14T22:32:43.4739145Z 
2025-08-14T22:32:43.4739432Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-08-14T22:32:43.4740051Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-08-14T22:32:43.4740576Z   exit 1
2025-08-14T22:32:43.4740787Z fi
2025-08-14T22:32:43.4740983Z 
2025-08-14T22:32:43.4741318Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-08-14T22:32:43.4742270Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-08-14T22:32:43.4742805Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-08-14T22:32:43.4743434Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-08-14T22:32:43.4744125Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-08-14T22:32:43.4744542Z fi
2025-08-14T22:32:43.4744745Z 
2025-08-14T22:32:43.4744994Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:43.4754199Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:43.4754548Z env:
2025-08-14T22:32:43.4754750Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:43.4755014Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-14T22:32:43.4755339Z   BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:32:43.4756303Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:43.4757595Z   DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:43.4758478Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:43.4758844Z   DOCKER_PUSH: 
2025-08-14T22:32:43.4759057Z ##[endgroup]
2025-08-14T22:32:43.4788372Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:43.4788859Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:43.4791804Z + aws ecr get-login-password --region us-east-1
2025-08-14T22:32:43.4793471Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:44.0187226Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T22:32:44.0188542Z Configure a credential helper to remove this warning. See
2025-08-14T22:32:44.0189351Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T22:32:44.0189952Z 
2025-08-14T22:32:44.0190098Z Login Succeeded
2025-08-14T22:32:44.0218043Z ++ date +%s
2025-08-14T22:32:44.0231642Z + START_TIME=1755210764
2025-08-14T22:32:44.0236362Z ++ date +%s
2025-08-14T22:32:44.0249886Z + [[ 1755203564 -lt 1755210764 ]]
2025-08-14T22:32:44.0250848Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
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2025-08-14T22:32:44.2494281Z 		}
2025-08-14T22:32:44.2494454Z 	]
2025-08-14T22:32:44.2494622Z }
2025-08-14T22:32:44.2494808Z + exit 0
2025-08-14T22:32:44.2519719Z ##[group]Run set -eux
2025-08-14T22:32:44.2519978Z set -eux
2025-08-14T22:32:44.2520770Z 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
2025-08-14T22:32:44.2531042Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:44.2531398Z env:
2025-08-14T22:32:44.2531609Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:44.2531858Z ##[endgroup]
2025-08-14T22:32:44.2569563Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-08-14T22:32:44.2570515Z + jq --raw-output .SecretString
2025-08-14T22:32:44.2571140Z + jq -r .docker_hub_readonly_token
2025-08-14T22:32:44.2572624Z + docker login --username pytorchbot --password-stdin
2025-08-14T22:32:44.8282106Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T22:32:44.8282683Z Configure a credential helper to remove this warning. See
2025-08-14T22:32:44.8283292Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T22:32:44.8283740Z 
2025-08-14T22:32:44.8283880Z Login Succeeded
2025-08-14T22:32:44.8372170Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-08-14T22:32:44.8372519Z tag=${ECR_DOCKER_IMAGE##*:}
2025-08-14T22:32:44.8372886Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-08-14T22:32:44.8382866Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:44.8383211Z env:
2025-08-14T22:32:44.8383409Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:44.8384292Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:44.8385353Z ##[endgroup]
2025-08-14T22:32:44.8417446Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:44.8473056Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-08-14T22:32:44.8473468Z with:
2025-08-14T22:32:44.8474296Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:44.8475290Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:44.8475653Z env:
2025-08-14T22:32:44.8475864Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:44.8476112Z ##[endgroup]
2025-08-14T22:32:44.8490302Z ##[group]Run set -x
2025-08-14T22:32:44.8490580Z set -x
2025-08-14T22:32:44.8490800Z set +e
2025-08-14T22:32:44.8491007Z 
2025-08-14T22:32:44.8491201Z login() {
2025-08-14T22:32:44.8491645Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-14T22:32:44.8492131Z }
2025-08-14T22:32:44.8492326Z 
2025-08-14T22:32:44.8492568Z retry () {
2025-08-14T22:32:44.8492827Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-14T22:32:44.8493125Z }
2025-08-14T22:32:44.8493328Z 
2025-08-14T22:32:44.8493554Z retry login "${DOCKER_REGISTRY}"
2025-08-14T22:32:44.8493834Z 
2025-08-14T22:32:44.8494279Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-08-14T22:32:44.8494881Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-08-14T22:32:44.8495222Z 
2025-08-14T22:32:44.8495430Z set -e
2025-08-14T22:32:44.8495750Z # ignore output since only exit code is used for conditional
2025-08-14T22:32:44.8496208Z # only pull docker image if it's not available locally
2025-08-14T22:32:44.8496708Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-08-14T22:32:44.8497185Z   retry docker pull "${DOCKER_IMAGE}"
2025-08-14T22:32:44.8497484Z fi
2025-08-14T22:32:44.8506386Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:44.8506737Z env:
2025-08-14T22:32:44.8506941Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:44.8507816Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:44.8508910Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:44.8509274Z ##[endgroup]
2025-08-14T22:32:44.8539325Z + set +e
2025-08-14T22:32:44.8539692Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:44.8540206Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:44.8543671Z + aws ecr get-login-password --region us-east-1
2025-08-14T22:32:44.8545724Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:45.3640453Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T22:32:45.3641215Z Configure a credential helper to remove this warning. See
2025-08-14T22:32:45.3642068Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T22:32:45.3642470Z 
2025-08-14T22:32:45.3642639Z Login Succeeded
2025-08-14T22:32:45.3673344Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:45.3674605Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-08-14T22:32:45.5735279Z + IMAGE_SIZE=35244.522168159485
2025-08-14T22:32:45.5735766Z + echo 'Compressed size of image in MB: 35244.522168159485'
2025-08-14T22:32:45.5736222Z + set -e
2025-08-14T22:32:45.5737500Z + 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-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:45.5738505Z Compressed size of image in MB: 35244.522168159485
2025-08-14T22:32:45.5888489Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:45.5890065Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:45.8318006Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image
2025-08-14T22:32:45.8319185Z 660ffc76f83b: Pulling fs layer
2025-08-14T22:32:45.8319589Z fda14a1f7aee: Pulling fs layer
2025-08-14T22:32:45.8319989Z b1ebec1812d8: Pulling fs layer
2025-08-14T22:32:45.8320801Z 769b419b92f7: Pulling fs layer
2025-08-14T22:32:45.8321457Z ab77f62b126e: Pulling fs layer
2025-08-14T22:32:45.8321860Z 6716387c50eb: Pulling fs layer
2025-08-14T22:32:45.8322228Z cdc33fe3ee6c: Pulling fs layer
2025-08-14T22:32:45.8322595Z 09607977e7ae: Pulling fs layer
2025-08-14T22:32:45.8323004Z efb9b87b42b2: Pulling fs layer
2025-08-14T22:32:45.8323403Z 769b419b92f7: Waiting
2025-08-14T22:32:45.8323764Z 556e7bc41312: Pulling fs layer
2025-08-14T22:32:45.8324181Z bfe978aa9129: Pulling fs layer
2025-08-14T22:32:45.8324612Z ab77f62b126e: Waiting
2025-08-14T22:32:45.8324937Z 6716387c50eb: Waiting
2025-08-14T22:32:45.8325290Z 744614e26e03: Pulling fs layer
2025-08-14T22:32:45.8325747Z a632dcd86e3e: Pulling fs layer
2025-08-14T22:32:45.8326156Z efb9b87b42b2: Waiting
2025-08-14T22:32:45.8326504Z 556e7bc41312: Waiting
2025-08-14T22:32:45.8326803Z 09607977e7ae: Waiting
2025-08-14T22:32:45.8327159Z cdc33fe3ee6c: Waiting
2025-08-14T22:32:45.8327502Z 744614e26e03: Waiting
2025-08-14T22:32:45.8327860Z fe628e46689b: Pulling fs layer
2025-08-14T22:32:45.8328248Z 4f4fb700ef54: Pulling fs layer
2025-08-14T22:32:45.8328612Z bfe978aa9129: Waiting
2025-08-14T22:32:45.8328946Z a632dcd86e3e: Waiting
2025-08-14T22:32:45.8329315Z 8c5db34b27d9: Pulling fs layer
2025-08-14T22:32:45.8329712Z fe628e46689b: Waiting
2025-08-14T22:32:45.8330018Z 4f4fb700ef54: Waiting
2025-08-14T22:32:45.8330348Z df443f31298a: Pulling fs layer
2025-08-14T22:32:45.8330700Z 8c5db34b27d9: Waiting
2025-08-14T22:32:45.8331017Z a5495eac25ef: Pulling fs layer
2025-08-14T22:32:45.8331425Z 1ba5cdbe6a3f: Pulling fs layer
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2025-08-14T22:32:45.8332187Z 9c5a98813e33: Pulling fs layer
2025-08-14T22:32:45.8332551Z 1ba5cdbe6a3f: Waiting
2025-08-14T22:32:45.8332877Z dbb852283645: Pulling fs layer
2025-08-14T22:32:45.8333223Z df443f31298a: Waiting
2025-08-14T22:32:45.8333531Z 25a339d8fd0d: Waiting
2025-08-14T22:32:45.8333860Z c10e9fe6d5a3: Pulling fs layer
2025-08-14T22:32:45.8334216Z dbb852283645: Waiting
2025-08-14T22:32:45.8334531Z aa875e6a66b5: Pulling fs layer
2025-08-14T22:32:45.8334924Z a3dcd946069e: Pulling fs layer
2025-08-14T22:32:45.8335304Z 22ca09500b7f: Pulling fs layer
2025-08-14T22:32:45.8335665Z c10e9fe6d5a3: Waiting
2025-08-14T22:32:45.8336002Z cd7b97e6d3df: Pulling fs layer
2025-08-14T22:32:45.8336371Z aa875e6a66b5: Waiting
2025-08-14T22:32:45.8336704Z df9f2c6c5ddc: Pulling fs layer
2025-08-14T22:32:45.8337092Z d4a568b89c23: Pulling fs layer
2025-08-14T22:32:45.8337453Z cd7b97e6d3df: Waiting
2025-08-14T22:32:45.8337708Z a3dcd946069e: Waiting
2025-08-14T22:32:45.8337933Z 5cac9a616f74: Pulling fs layer
2025-08-14T22:32:45.8338180Z 22ca09500b7f: Waiting
2025-08-14T22:32:45.8338414Z 86d4c7c5302f: Pulling fs layer
2025-08-14T22:32:45.8338959Z 3106bf84b54a: Pulling fs layer
2025-08-14T22:32:45.8339203Z d4a568b89c23: Waiting
2025-08-14T22:32:45.8339435Z a5b88a3af011: Pulling fs layer
2025-08-14T22:32:45.8339674Z 5cac9a616f74: Waiting
2025-08-14T22:32:45.8339906Z 8eee3a81e146: Pulling fs layer
2025-08-14T22:32:45.8340171Z dc5ba2aaa7fa: Pulling fs layer
2025-08-14T22:32:45.8340596Z a5b88a3af011: Waiting
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2025-08-14T22:32:45.8341087Z 86d4c7c5302f: Waiting
2025-08-14T22:32:45.8341299Z 8eee3a81e146: Waiting
2025-08-14T22:32:45.8341737Z dc5ba2aaa7fa: Waiting
2025-08-14T22:32:45.8341969Z 3106bf84b54a: Waiting
2025-08-14T22:32:45.8342193Z 878d11c5292a: Pulling fs layer
2025-08-14T22:32:45.8342528Z ced7394ffe7c: Pulling fs layer
2025-08-14T22:32:45.8342798Z 53d996739ef9: Pulling fs layer
2025-08-14T22:32:45.8343088Z a35cb370f0e6: Waiting
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2025-08-14T22:32:45.8344586Z 53d996739ef9: Waiting
2025-08-14T22:32:45.8344804Z ced7394ffe7c: Waiting
2025-08-14T22:32:45.8345036Z e47211035357: Pulling fs layer
2025-08-14T22:32:45.8345280Z 5515d3dcc061: Waiting
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2025-08-14T22:32:45.8346428Z 43482a531570: Pulling fs layer
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2025-08-14T22:32:45.8348190Z 43482a531570: Waiting
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2025-08-14T22:32:45.8349415Z 12fbb5f8d2e0: Pulling fs layer
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2025-08-14T22:32:45.8350732Z 7b3f771a66b8: Pulling fs layer
2025-08-14T22:32:45.8351002Z aaff3621f8fd: Waiting
2025-08-14T22:32:45.8351245Z 2e0c9e40b746: Pulling fs layer
2025-08-14T22:32:45.8351511Z 7b3f771a66b8: Waiting
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2025-08-14T22:32:45.8353168Z 65302a83b789: Pulling fs layer
2025-08-14T22:32:45.8353413Z 2e0c9e40b746: Waiting
2025-08-14T22:32:45.8353621Z 81e579491c3f: Waiting
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2025-08-14T22:32:45.8354743Z 1eb0e3bc4a8a: Pulling fs layer
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2025-08-14T22:32:45.8355209Z e2c7a7f31ff5: Pulling fs layer
2025-08-14T22:32:45.8355455Z f0f4e6cb1c47: Waiting
2025-08-14T22:32:45.8355675Z 51d09b1b0cf0: Pulling fs layer
2025-08-14T22:32:45.8355921Z 1eb0e3bc4a8a: Waiting
2025-08-14T22:32:45.8356139Z e2c7a7f31ff5: Waiting
2025-08-14T22:32:45.8356353Z 51d09b1b0cf0: Waiting
2025-08-14T22:32:45.9080988Z fda14a1f7aee: Verifying Checksum
2025-08-14T22:32:45.9081868Z fda14a1f7aee: Download complete
2025-08-14T22:32:46.0004239Z 769b419b92f7: Download complete
2025-08-14T22:32:46.1003368Z ab77f62b126e: Verifying Checksum
2025-08-14T22:32:46.1003900Z ab77f62b126e: Download complete
2025-08-14T22:32:46.1701292Z 6716387c50eb: Download complete
2025-08-14T22:32:46.1861337Z 660ffc76f83b: Verifying Checksum
2025-08-14T22:32:46.1861828Z 660ffc76f83b: Download complete
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2025-08-14T22:32:46.5431048Z a632dcd86e3e: Verifying Checksum
2025-08-14T22:32:46.5431396Z a632dcd86e3e: Download complete
2025-08-14T22:32:47.3365361Z 660ffc76f83b: Pull complete
2025-08-14T22:32:47.3501723Z fda14a1f7aee: Pull complete
2025-08-14T22:32:47.3917438Z efb9b87b42b2: Verifying Checksum
2025-08-14T22:32:47.3917963Z efb9b87b42b2: Download complete
2025-08-14T22:32:47.3990400Z 4f4fb700ef54: Download complete
2025-08-14T22:32:47.4801332Z 8c5db34b27d9: Verifying Checksum
2025-08-14T22:32:47.4801650Z 8c5db34b27d9: Download complete
2025-08-14T22:32:48.0735829Z df443f31298a: Verifying Checksum
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2025-08-14T22:32:48.2872564Z 1ba5cdbe6a3f: Verifying Checksum
2025-08-14T22:32:48.2872994Z 1ba5cdbe6a3f: Download complete
2025-08-14T22:32:48.3709991Z 25a339d8fd0d: Verifying Checksum
2025-08-14T22:32:48.3710444Z 25a339d8fd0d: Download complete
2025-08-14T22:32:48.4399732Z 9c5a98813e33: Verifying Checksum
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2025-08-14T22:32:48.5299096Z dbb852283645: Verifying Checksum
2025-08-14T22:32:48.5299513Z dbb852283645: Download complete
2025-08-14T22:32:48.6113518Z c10e9fe6d5a3: Verifying Checksum
2025-08-14T22:32:48.6114013Z c10e9fe6d5a3: Download complete
2025-08-14T22:32:49.0180891Z b1ebec1812d8: Verifying Checksum
2025-08-14T22:32:49.0181567Z b1ebec1812d8: Download complete
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2025-08-14T22:32:49.5057327Z 22ca09500b7f: Verifying Checksum
2025-08-14T22:32:49.5057699Z 22ca09500b7f: Download complete
2025-08-14T22:32:49.5986066Z cd7b97e6d3df: Verifying Checksum
2025-08-14T22:32:49.5986415Z cd7b97e6d3df: Download complete
2025-08-14T22:32:49.6755785Z df9f2c6c5ddc: Verifying Checksum
2025-08-14T22:32:49.6756245Z df9f2c6c5ddc: Download complete
2025-08-14T22:32:54.2606606Z d4a568b89c23: Verifying Checksum
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2025-08-14T22:32:54.5069094Z 3106bf84b54a: Verifying Checksum
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2025-08-14T22:45:27.4549085Z Digest: sha256:050f239443bf26df408844afdffcd5ccf5a75a6adfa00bd4f0d2af41684beff7
2025-08-14T22:45:27.4738425Z 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-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:45:27.4911454Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:45:27.5016545Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T22:45:27.5017576Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T22:45:27.5030687Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:45:27.5031039Z env:
2025-08-14T22:45:27.5031241Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:45:27.5031491Z ##[endgroup]
2025-08-14T22:45:27.5301635Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2025-08-14T22:45:27.5302054Z with:
2025-08-14T22:45:27.5302282Z   driver-version: 570.133.07
2025-08-14T22:45:27.5302523Z env:
2025-08-14T22:45:27.5302720Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:45:27.5302955Z ##[endgroup]
2025-08-14T22:45:27.5395144Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482
2025-08-14T22:45:27.5395534Z with:
2025-08-14T22:45:27.5395736Z   timeout_minutes: 10
2025-08-14T22:45:27.5395978Z   max_attempts: 3
2025-08-14T22:45:27.5420339Z   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

2025-08-14T22:45:27.5445030Z   retry_wait_seconds: 10
2025-08-14T22:45:27.5445306Z   polling_interval_seconds: 1
2025-08-14T22:45:27.5445572Z   warning_on_retry: true
2025-08-14T22:45:27.5445827Z   continue_on_error: false
2025-08-14T22:45:27.5446075Z env:
2025-08-14T22:45:27.5446277Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:45:27.5446537Z   DRIVER_VERSION: 570.133.07
2025-08-14T22:45:27.5446792Z ##[endgroup]
2025-08-14T22:45:27.6605246Z == Installing nvidia driver NVIDIA-Linux-x86_64-570.133.07.run ==
2025-08-14T22:45:27.6605972Z + pre_install_nvidia_driver_amzn2
2025-08-14T22:45:27.6608550Z + sudo yum remove -y nvidia-driver-latest-dkms
2025-08-14T22:45:28.8679943Z No match for argument: nvidia-driver-latest-dkms
2025-08-14T22:45:28.8680341Z No packages marked for removal.
2025-08-14T22:45:28.8775614Z Dependencies resolved.
2025-08-14T22:45:28.8785414Z Nothing to do.
2025-08-14T22:45:28.8785758Z Complete!
2025-08-14T22:45:28.9236618Z + install_nvidia_driver_common
2025-08-14T22:45:28.9243355Z + echo 'Before installing NVIDIA driver'
2025-08-14T22:45:28.9243680Z + lspci
2025-08-14T22:45:28.9245238Z Before installing NVIDIA driver
2025-08-14T22:45:29.0062134Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-08-14T22:45:29.0062671Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-08-14T22:45:29.0063226Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-08-14T22:45:29.0063982Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-08-14T22:45:29.0064475Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-08-14T22:45:29.0065135Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-08-14T22:45:29.0065626Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1)
2025-08-14T22:45:29.0066104Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-08-14T22:45:29.0066503Z + lsmod
2025-08-14T22:45:29.0112188Z Module                  Size  Used by
2025-08-14T22:45:29.0112933Z xt_conntrack           16384  1
2025-08-14T22:45:29.0113206Z nft_chain_nat          16384  3
2025-08-14T22:45:29.0113469Z xt_MASQUERADE          20480  1
2025-08-14T22:45:29.0113769Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-08-14T22:45:29.0114108Z nf_conntrack_netlink    57344  0
2025-08-14T22:45:29.0114506Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-08-14T22:45:29.0114953Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-08-14T22:45:29.0115275Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-08-14T22:45:29.0115573Z xfrm_user              57344  1
2025-08-14T22:45:29.0115837Z xfrm_algo              16384  1 xfrm_user
2025-08-14T22:45:29.0116121Z xt_addrtype            16384  2
2025-08-14T22:45:29.0116377Z nft_compat             20480  4
2025-08-14T22:45:29.0116682Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-08-14T22:45:29.0117088Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-08-14T22:45:29.0117477Z br_netfilter           36864  0
2025-08-14T22:45:29.0117756Z bridge                323584  1 br_netfilter
2025-08-14T22:45:29.0118049Z stp                    16384  1 bridge
2025-08-14T22:45:29.0118338Z llc                    16384  2 bridge,stp
2025-08-14T22:45:29.0118622Z overlay               167936  0
2025-08-14T22:45:29.0118869Z tls                   139264  0
2025-08-14T22:45:29.0119123Z nls_ascii              16384  1
2025-08-14T22:45:29.0119383Z nls_cp437              20480  1
2025-08-14T22:45:29.0119634Z vfat                   24576  1
2025-08-14T22:45:29.0119879Z fat                    86016  1 vfat
2025-08-14T22:45:29.0120138Z i8042                  45056  0
2025-08-14T22:45:29.0120385Z ena                   180224  0
2025-08-14T22:45:29.0120632Z serio                  28672  3 i8042
2025-08-14T22:45:29.0120911Z button                 24576  0
2025-08-14T22:45:29.0121180Z ghash_clmulni_intel    16384  0
2025-08-14T22:45:29.0121440Z sunrpc                700416  1
2025-08-14T22:45:29.0121703Z sch_fq_codel           20480  17
2025-08-14T22:45:29.0121959Z dm_mod                188416  0
2025-08-14T22:45:29.0122207Z fuse                  184320  1
2025-08-14T22:45:29.0122450Z configfs               57344  1
2025-08-14T22:45:29.0122701Z loop                   36864  0
2025-08-14T22:45:29.0122952Z dmi_sysfs              20480  0
2025-08-14T22:45:29.0123196Z crc32_pclmul           16384  0
2025-08-14T22:45:29.0123459Z crc32c_intel           24576  0
2025-08-14T22:45:29.0123713Z efivarfs               24576  1
2025-08-14T22:45:29.0123964Z + modinfo nvidia
2025-08-14T22:45:29.0143098Z filename:       /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-08-14T22:45:29.0143786Z import_ns:      DMA_BUF
2025-08-14T22:45:29.0144136Z alias:          char-major-195-*
2025-08-14T22:45:29.0144502Z version:        570.133.07
2025-08-14T22:45:29.0144842Z supported:      external
2025-08-14T22:45:29.0145168Z license:        Dual MIT/GPL
2025-08-14T22:45:29.0145554Z firmware:       nvidia/570.133.07/gsp_tu10x.bin
2025-08-14T22:45:29.0145933Z firmware:       nvidia/570.133.07/gsp_ga10x.bin
2025-08-14T22:45:29.0146260Z srcversion:     49515739FD8F721A3F2F714
2025-08-14T22:45:29.0146580Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-08-14T22:45:29.0146926Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-08-14T22:45:29.0147267Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-08-14T22:45:29.0147830Z depends:        i2c-core,drm
2025-08-14T22:45:29.0148098Z retpoline:      Y
2025-08-14T22:45:29.0148414Z name:           nvidia
2025-08-14T22:45:29.0148796Z vermagic:       6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-08-14T22:45:29.0149276Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-08-14T22:45:29.0149730Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-08-14T22:45:29.0150150Z parm:           NVreg_ResmanDebugLevel:int
2025-08-14T22:45:29.0150468Z parm:           NVreg_RmLogonRC:int
2025-08-14T22:45:29.0150925Z parm:           NVreg_ModifyDeviceFiles:int
2025-08-14T22:45:29.0151253Z parm:           NVreg_DeviceFileUID:int
2025-08-14T22:45:29.0151566Z parm:           NVreg_DeviceFileGID:int
2025-08-14T22:45:29.0151886Z parm:           NVreg_DeviceFileMode:int
2025-08-14T22:45:29.0152261Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-08-14T22:45:29.0152670Z parm:           NVreg_UsePageAttributeTable:int
2025-08-14T22:45:29.0153022Z parm:           NVreg_EnablePCIeGen3:int
2025-08-14T22:45:29.0153340Z parm:           NVreg_EnableMSI:int
2025-08-14T22:45:29.0153659Z parm:           NVreg_EnableStreamMemOPs:int
2025-08-14T22:45:29.0154020Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-08-14T22:45:29.0154427Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-08-14T22:45:29.0154814Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-08-14T22:45:29.0155224Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-08-14T22:45:29.0155646Z parm:           NVreg_DynamicPowerManagement:int
2025-08-14T22:45:29.0156072Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-08-14T22:45:29.0156487Z parm:           NVreg_EnableGpuFirmware:int
2025-08-14T22:45:29.0156824Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-08-14T22:45:29.0157195Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-08-14T22:45:29.0157577Z parm:           NVreg_EnableUserNUMAManagement:int
2025-08-14T22:45:29.0157914Z parm:           NVreg_MemoryPoolSize:int
2025-08-14T22:45:29.0158237Z parm:           NVreg_KMallocHeapMaxSize:int
2025-08-14T22:45:29.0158574Z parm:           NVreg_VMallocHeapMaxSize:int
2025-08-14T22:45:29.0158893Z parm:           NVreg_IgnoreMMIOCheck:int
2025-08-14T22:45:29.0159206Z parm:           NVreg_NvLinkDisable:int
2025-08-14T22:45:29.0159558Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-08-14T22:45:29.0159924Z parm:           NVreg_RegisterPCIDriver:int
2025-08-14T22:45:29.0160250Z parm:           NVreg_EnableResizableBar:int
2025-08-14T22:45:29.0160590Z parm:           NVreg_EnableDbgBreakpoint:int
2025-08-14T22:45:29.0160940Z parm:           NVreg_EnableNonblockingOpen:int
2025-08-14T22:45:29.0161270Z parm:           NVreg_RegistryDwords:charp
2025-08-14T22:45:29.0161610Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-08-14T22:45:29.0161934Z parm:           NVreg_RmMsg:charp
2025-08-14T22:45:29.0162218Z parm:           NVreg_GpuBlacklist:charp
2025-08-14T22:45:29.0162582Z parm:           NVreg_TemporaryFilePath:charp
2025-08-14T22:45:29.0162905Z parm:           NVreg_ExcludedGpus:charp
2025-08-14T22:45:29.0163214Z parm:           NVreg_DmaRemapPeerMmio:int
2025-08-14T22:45:29.0163542Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-08-14T22:45:29.0163896Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-08-14T22:45:29.0164236Z parm:           NVreg_ImexChannelCount:int
2025-08-14T22:45:29.0164552Z parm:           NVreg_CreateImexChannel0:int
2025-08-14T22:45:29.0164895Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-08-14T22:45:29.0165230Z parm:           rm_firmware_active:charp
2025-08-14T22:45:29.0165513Z + HAS_NVIDIA_DRIVER=0
2025-08-14T22:45:29.0165759Z ++ command -v nvidia-smi
2025-08-14T22:45:29.0166022Z + '[' -x /usr/bin/nvidia-smi ']'
2025-08-14T22:45:29.0166273Z + set +e
2025-08-14T22:45:29.0166589Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0
2025-08-14T22:45:30.8793151Z + INSTALLED_DRIVER_VERSION=570.133.07
2025-08-14T22:45:30.8793531Z + NVIDIA_SMI_STATUS=0
2025-08-14T22:45:30.8793767Z + '[' 0 -ne 0 ']'
2025-08-14T22:45:30.8793989Z + '[' 570.133.07 '!=' 570.133.07 ']'
2025-08-14T22:45:30.8794262Z + HAS_NVIDIA_DRIVER=1
2025-08-14T22:45:30.8794692Z + echo 'NVIDIA driver (570.133.07) has already been installed. Skipping NVIDIA driver installation'
2025-08-14T22:45:30.8795162Z + set -e
2025-08-14T22:45:30.8795358Z + '[' 1 -eq 0 ']'
2025-08-14T22:45:30.8795747Z NVIDIA driver (570.133.07) has already been installed. Skipping NVIDIA driver installation
2025-08-14T22:45:30.8798553Z + post_install_nvidia_driver_common
2025-08-14T22:45:30.8802038Z + sudo modprobe nvidia
2025-08-14T22:45:31.0050039Z + echo 'After installing NVIDIA driver'
2025-08-14T22:45:31.0050374Z + lspci
2025-08-14T22:45:31.0050595Z After installing NVIDIA driver
2025-08-14T22:45:31.0175226Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-08-14T22:45:31.0175784Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-08-14T22:45:31.0176334Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-08-14T22:45:31.0176859Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-08-14T22:45:31.0177337Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-08-14T22:45:31.0177856Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-08-14T22:45:31.0178338Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1)
2025-08-14T22:45:31.0178825Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-08-14T22:45:31.0179217Z + lsmod
2025-08-14T22:45:31.0220487Z Module                  Size  Used by
2025-08-14T22:45:31.0220786Z nvidia_uvm           1884160  0
2025-08-14T22:45:31.0221079Z nvidia              11583488  1 nvidia_uvm
2025-08-14T22:45:31.0221438Z drm                   602112  1 nvidia
2025-08-14T22:45:31.0221770Z drm_panel_orientation_quirks    32768  1 drm
2025-08-14T22:45:31.0222074Z backlight              24576  1 drm
2025-08-14T22:45:31.0222352Z i2c_core              110592  2 nvidia,drm
2025-08-14T22:45:31.0222626Z xt_conntrack           16384  1
2025-08-14T22:45:31.0222884Z nft_chain_nat          16384  3
2025-08-14T22:45:31.0223138Z xt_MASQUERADE          20480  1
2025-08-14T22:45:31.0223451Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-08-14T22:45:31.0223799Z nf_conntrack_netlink    57344  0
2025-08-14T22:45:31.0224194Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-08-14T22:45:31.0224627Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-08-14T22:45:31.0224936Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-08-14T22:45:31.0225222Z xfrm_user              57344  1
2025-08-14T22:45:31.0225486Z xfrm_algo              16384  1 xfrm_user
2025-08-14T22:45:31.0225765Z xt_addrtype            16384  2
2025-08-14T22:45:31.0226014Z nft_compat             20480  4
2025-08-14T22:45:31.0226316Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-08-14T22:45:31.0226716Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-08-14T22:45:31.0227083Z br_netfilter           36864  0
2025-08-14T22:45:31.0227351Z bridge                323584  1 br_netfilter
2025-08-14T22:45:31.0227632Z stp                    16384  1 bridge
2025-08-14T22:45:31.0227906Z llc                    16384  2 bridge,stp
2025-08-14T22:45:31.0228185Z overlay               167936  0
2025-08-14T22:45:31.0228534Z tls                   139264  0
2025-08-14T22:45:31.0228782Z nls_ascii              16384  1
2025-08-14T22:45:31.0229027Z nls_cp437              20480  1
2025-08-14T22:45:31.0229271Z vfat                   24576  1
2025-08-14T22:45:31.0229508Z fat                    86016  1 vfat
2025-08-14T22:45:31.0229762Z i8042                  45056  0
2025-08-14T22:45:31.0230003Z ena                   180224  0
2025-08-14T22:45:31.0230242Z serio                  28672  3 i8042
2025-08-14T22:45:31.0230766Z button                 24576  0
2025-08-14T22:45:31.0231023Z ghash_clmulni_intel    16384  0
2025-08-14T22:45:31.0231269Z sunrpc                700416  1
2025-08-14T22:45:31.0231515Z sch_fq_codel           20480  17
2025-08-14T22:45:31.0231768Z dm_mod                188416  0
2025-08-14T22:45:31.0232000Z fuse                  184320  1
2025-08-14T22:45:31.0232241Z configfs               57344  1
2025-08-14T22:45:31.0232483Z loop                   36864  0
2025-08-14T22:45:31.0232906Z dmi_sysfs              20480  0
2025-08-14T22:45:31.0233489Z crc32_pclmul           16384  0
2025-08-14T22:45:31.0233888Z crc32c_intel           24576  0
2025-08-14T22:45:31.0234268Z efivarfs               24576  1
2025-08-14T22:45:31.0234631Z + modinfo nvidia
2025-08-14T22:45:31.0242125Z filename:       /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-08-14T22:45:31.0243160Z import_ns:      DMA_BUF
2025-08-14T22:45:31.0243723Z alias:          char-major-195-*
2025-08-14T22:45:31.0244306Z version:        570.133.07
2025-08-14T22:45:31.0244829Z supported:      external
2025-08-14T22:45:31.0245222Z license:        Dual MIT/GPL
2025-08-14T22:45:31.0245667Z firmware:       nvidia/570.133.07/gsp_tu10x.bin
2025-08-14T22:45:31.0246213Z firmware:       nvidia/570.133.07/gsp_ga10x.bin
2025-08-14T22:45:31.0246720Z srcversion:     49515739FD8F721A3F2F714
2025-08-14T22:45:31.0247216Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-08-14T22:45:31.0247753Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-08-14T22:45:31.0248277Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-08-14T22:45:31.0248770Z depends:        i2c-core,drm
2025-08-14T22:45:31.0249162Z retpoline:      Y
2025-08-14T22:45:31.0249498Z name:           nvidia
2025-08-14T22:45:31.0250058Z vermagic:       6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-08-14T22:45:31.0250828Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-08-14T22:45:31.0251580Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-08-14T22:45:31.0252284Z parm:           NVreg_ResmanDebugLevel:int
2025-08-14T22:45:31.0252779Z parm:           NVreg_RmLogonRC:int
2025-08-14T22:45:31.0253282Z parm:           NVreg_ModifyDeviceFiles:int
2025-08-14T22:45:31.0253837Z parm:           NVreg_DeviceFileUID:int
2025-08-14T22:45:31.0254314Z parm:           NVreg_DeviceFileGID:int
2025-08-14T22:45:31.0254787Z parm:           NVreg_DeviceFileMode:int
2025-08-14T22:45:31.0255347Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-08-14T22:45:31.0255865Z parm:           NVreg_UsePageAttributeTable:int
2025-08-14T22:45:31.0256197Z parm:           NVreg_EnablePCIeGen3:int
2025-08-14T22:45:31.0256497Z parm:           NVreg_EnableMSI:int
2025-08-14T22:45:31.0256799Z parm:           NVreg_EnableStreamMemOPs:int
2025-08-14T22:45:31.0257157Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-08-14T22:45:31.0257555Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-08-14T22:45:31.0257940Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-08-14T22:45:31.0258343Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-08-14T22:45:31.0258745Z parm:           NVreg_DynamicPowerManagement:int
2025-08-14T22:45:31.0259164Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-08-14T22:45:31.0259564Z parm:           NVreg_EnableGpuFirmware:int
2025-08-14T22:45:31.0259896Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-08-14T22:45:31.0260262Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-08-14T22:45:31.0260636Z parm:           NVreg_EnableUserNUMAManagement:int
2025-08-14T22:45:31.0260962Z parm:           NVreg_MemoryPoolSize:int
2025-08-14T22:45:31.0261281Z parm:           NVreg_KMallocHeapMaxSize:int
2025-08-14T22:45:31.0261608Z parm:           NVreg_VMallocHeapMaxSize:int
2025-08-14T22:45:31.0261920Z parm:           NVreg_IgnoreMMIOCheck:int
2025-08-14T22:45:31.0262226Z parm:           NVreg_NvLinkDisable:int
2025-08-14T22:45:31.0262816Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-08-14T22:45:31.0263172Z parm:           NVreg_RegisterPCIDriver:int
2025-08-14T22:45:31.0263496Z parm:           NVreg_EnableResizableBar:int
2025-08-14T22:45:31.0263833Z parm:           NVreg_EnableDbgBreakpoint:int
2025-08-14T22:45:31.0264173Z parm:           NVreg_EnableNonblockingOpen:int
2025-08-14T22:45:31.0264498Z parm:           NVreg_RegistryDwords:charp
2025-08-14T22:45:31.0264834Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-08-14T22:45:31.0265159Z parm:           NVreg_RmMsg:charp
2025-08-14T22:45:31.0265566Z parm:           NVreg_GpuBlacklist:charp
2025-08-14T22:45:31.0265885Z parm:           NVreg_TemporaryFilePath:charp
2025-08-14T22:45:31.0266204Z parm:           NVreg_ExcludedGpus:charp
2025-08-14T22:45:31.0266506Z parm:           NVreg_DmaRemapPeerMmio:int
2025-08-14T22:45:31.0266829Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-08-14T22:45:31.0267183Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-08-14T22:45:31.0267529Z parm:           NVreg_ImexChannelCount:int
2025-08-14T22:45:31.0267854Z parm:           NVreg_CreateImexChannel0:int
2025-08-14T22:45:31.0268198Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-08-14T22:45:31.0268656Z parm:           rm_firmware_active:charp
2025-08-14T22:45:31.0268931Z + set +e
2025-08-14T22:45:31.0269116Z + nvidia-smi
2025-08-14T22:45:32.4349451Z Thu Aug 14 22:45:32 2025       
2025-08-14T22:45:32.4349848Z +-----------------------------------------------------------------------------------------+
2025-08-14T22:45:32.4350375Z | NVIDIA-SMI 570.133.07             Driver Version: 570.133.07     CUDA Version: 12.8     |
2025-08-14T22:45:32.4350856Z |-----------------------------------------+------------------------+----------------------+
2025-08-14T22:45:32.4351353Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-08-14T22:45:32.4351899Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-08-14T22:45:32.4352338Z |                                         |                        |               MIG M. |
2025-08-14T22:45:32.4352669Z |=========================================+========================+======================|
2025-08-14T22:45:32.4414270Z |   0  NVIDIA A10G                    Off |   00000000:00:1E.0 Off |                    0 |
2025-08-14T22:45:32.4415161Z |  0%   35C    P0             65W /  300W |       0MiB /  23028MiB |      4%      Default |
2025-08-14T22:45:32.4415919Z |                                         |                        |                  N/A |
2025-08-14T22:45:32.4416703Z +-----------------------------------------+------------------------+----------------------+
2025-08-14T22:45:32.4417482Z                                                                                          
2025-08-14T22:45:32.4418254Z +-----------------------------------------------------------------------------------------+
2025-08-14T22:45:32.4419111Z | Processes:                                                                              |
2025-08-14T22:45:32.4419985Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-08-14T22:45:32.4420813Z |        ID   ID                                                               Usage      |
2025-08-14T22:45:32.4421497Z |=========================================================================================|
2025-08-14T22:45:32.4422316Z |  No running processes found                                                             |
2025-08-14T22:45:32.4423151Z +-----------------------------------------------------------------------------------------+
2025-08-14T22:45:32.8544083Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
2025-08-14T22:45:34.2653380Z NVIDIA A10G
2025-08-14T22:45:34.5412984Z + NVIDIA_SMI_STATUS=0
2025-08-14T22:45:34.5413288Z + '[' 0 -eq 0 ']'
2025-08-14T22:45:34.5413531Z + echo 'INFO: Ignoring allowed status 0'
2025-08-14T22:45:34.5413815Z + set -e
2025-08-14T22:45:34.5414384Z INFO: Ignoring allowed status 0
2025-08-14T22:45:34.5421929Z == Installing nvidia container toolkit for amzn2023 ==
2025-08-14T22:45:34.5426279Z + sudo yum install -y yum-utils
2025-08-14T22:45:35.1279054Z Last metadata expiration check: 0:15:56 ago on Thu Aug 14 22:29:39 2025.
2025-08-14T22:45:35.1520872Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed.
2025-08-14T22:45:35.1994603Z Dependencies resolved.
2025-08-14T22:45:35.2218266Z Nothing to do.
2025-08-14T22:45:35.2218646Z Complete!
2025-08-14T22:45:35.2972590Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]]
2025-08-14T22:45:35.2973169Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-08-14T22:45:35.2974024Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-08-14T22:45:35.7015622Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-08-14T22:45:35.7599542Z + 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
2025-08-14T22:45:36.3569815Z nvidia-container-toolkit                         19 kB/s | 833  B     00:00    
2025-08-14T22:45:36.3814459Z Package nvidia-container-toolkit-1.17.8-1.x86_64 is already installed.
2025-08-14T22:45:36.3820015Z Package libnvidia-container-tools-1.17.8-1.x86_64 is already installed.
2025-08-14T22:45:36.3823745Z Package libnvidia-container1-1.17.8-1.x86_64 is already installed.
2025-08-14T22:45:36.3830393Z Package nvidia-container-toolkit-base-1.17.8-1.x86_64 is already installed.
2025-08-14T22:45:36.4310553Z Dependencies resolved.
2025-08-14T22:45:36.4534337Z Nothing to do.
2025-08-14T22:45:36.4534683Z Complete!
2025-08-14T22:45:36.5551275Z + sudo systemctl restart docker
2025-08-14T22:46:16.6801925Z Thu Aug 14 22:46:16 2025       
2025-08-14T22:46:16.6805112Z +-----------------------------------------------------------------------------------------+
2025-08-14T22:46:16.6805783Z | NVIDIA-SMI 570.133.07             Driver Version: 570.133.07     CUDA Version: 12.8     |
2025-08-14T22:46:16.6806315Z |-----------------------------------------+------------------------+----------------------+
2025-08-14T22:46:16.6806802Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-08-14T22:46:16.6807327Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-08-14T22:46:16.6807759Z |                                         |                        |               MIG M. |
2025-08-14T22:46:16.6808086Z |=========================================+========================+======================|
2025-08-14T22:46:16.6888943Z |   0  NVIDIA A10G                    On  |   00000000:00:1E.0 Off |                    0 |
2025-08-14T22:46:16.6889526Z |  0%   35C    P0             65W /  300W |       0MiB /  23028MiB |      4%      Default |
2025-08-14T22:46:16.6890015Z |                                         |                        |                  N/A |
2025-08-14T22:46:16.6890491Z +-----------------------------------------+------------------------+----------------------+
2025-08-14T22:46:16.6890955Z                                                                                          
2025-08-14T22:46:16.6891415Z +-----------------------------------------------------------------------------------------+
2025-08-14T22:46:16.6891964Z | Processes:                                                                              |
2025-08-14T22:46:16.6892504Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-08-14T22:46:16.6892991Z |        ID   ID                                                               Usage      |
2025-08-14T22:46:16.6893392Z |=========================================================================================|
2025-08-14T22:46:16.6894253Z |  No running processes found                                                             |
2025-08-14T22:46:16.6894820Z +-----------------------------------------------------------------------------------------+
2025-08-14T22:46:16.8514398Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally
2025-08-14T22:46:17.0468803Z 3.13: Pulling from docker/library/python
2025-08-14T22:46:17.1428322Z 80b7316254b3: Pulling fs layer
2025-08-14T22:46:17.1428664Z 36e4db86de6e: Pulling fs layer
2025-08-14T22:46:17.1428927Z 8ea45766c644: Pulling fs layer
2025-08-14T22:46:17.1429216Z 3cb1455cf185: Pulling fs layer
2025-08-14T22:46:17.1429792Z 775c3c87ce6e: Pulling fs layer
2025-08-14T22:46:17.1430045Z 363804934c90: Pulling fs layer
2025-08-14T22:46:17.1430313Z f597144abcb3: Pulling fs layer
2025-08-14T22:46:17.1430564Z 3cb1455cf185: Waiting
2025-08-14T22:46:17.1430783Z 775c3c87ce6e: Waiting
2025-08-14T22:46:17.1431004Z 363804934c90: Waiting
2025-08-14T22:46:17.1431224Z f597144abcb3: Waiting
2025-08-14T22:46:17.2511262Z 36e4db86de6e: Verifying Checksum
2025-08-14T22:46:17.2511602Z 36e4db86de6e: Download complete
2025-08-14T22:46:17.3142204Z 80b7316254b3: Verifying Checksum
2025-08-14T22:46:17.3143400Z 80b7316254b3: Download complete
2025-08-14T22:46:17.3621219Z 8ea45766c644: Verifying Checksum
2025-08-14T22:46:17.3621566Z 8ea45766c644: Download complete
2025-08-14T22:46:17.3960287Z 775c3c87ce6e: Verifying Checksum
2025-08-14T22:46:17.3960870Z 775c3c87ce6e: Download complete
2025-08-14T22:46:17.4382564Z f597144abcb3: Verifying Checksum
2025-08-14T22:46:17.4382906Z f597144abcb3: Download complete
2025-08-14T22:46:17.4750005Z 363804934c90: Verifying Checksum
2025-08-14T22:46:17.4750379Z 363804934c90: Download complete
2025-08-14T22:46:17.9184408Z 3cb1455cf185: Verifying Checksum
2025-08-14T22:46:17.9184728Z 3cb1455cf185: Download complete
2025-08-14T22:46:19.0287652Z 80b7316254b3: Pull complete
2025-08-14T22:46:19.7427219Z 36e4db86de6e: Pull complete
2025-08-14T22:46:22.1690702Z 8ea45766c644: Pull complete
2025-08-14T22:46:28.5881426Z 3cb1455cf185: Pull complete
2025-08-14T22:46:28.8600810Z 775c3c87ce6e: Pull complete
2025-08-14T22:46:29.6009761Z 363804934c90: Pull complete
2025-08-14T22:46:29.6236047Z f597144abcb3: Pull complete
2025-08-14T22:46:29.6368629Z Digest: sha256:50cbf8e58ca53a806b99250b1ba2d16c19433e8c42e7eb4ac4ea924b095e280b
2025-08-14T22:46:29.6409622Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13
2025-08-14T22:46:36.5412609Z Thu Aug 14 22:46:36 2025       
2025-08-14T22:46:36.5413130Z +-----------------------------------------------------------------------------------------+
2025-08-14T22:46:36.5413831Z | NVIDIA-SMI 570.133.07             Driver Version: 570.133.07     CUDA Version: 12.8     |
2025-08-14T22:46:36.5414432Z |-----------------------------------------+------------------------+----------------------+
2025-08-14T22:46:36.5414927Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-08-14T22:46:36.5415468Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-08-14T22:46:36.5415950Z |                                         |                        |               MIG M. |
2025-08-14T22:46:36.5416273Z |=========================================+========================+======================|
2025-08-14T22:46:36.5553252Z |   0  NVIDIA A10G                    On  |   00000000:00:1E.0 Off |                    0 |
2025-08-14T22:46:36.5553902Z |  0%   33C    P8              9W /  300W |       0MiB /  23028MiB |      0%      Default |
2025-08-14T22:46:36.5554442Z |                                         |                        |                  N/A |
2025-08-14T22:46:36.5555005Z +-----------------------------------------+------------------------+----------------------+
2025-08-14T22:46:36.5556459Z                                                                                          
2025-08-14T22:46:36.5557007Z +-----------------------------------------------------------------------------------------+
2025-08-14T22:46:36.5557888Z | Processes:                                                                              |
2025-08-14T22:46:36.5558518Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-08-14T22:46:36.5559090Z |        ID   ID                                                               Usage      |
2025-08-14T22:46:36.5559642Z |=========================================================================================|
2025-08-14T22:46:36.5563477Z |  No running processes found                                                             |
2025-08-14T22:46:36.5564405Z +-----------------------------------------------------------------------------------------+
2025-08-14T22:46:37.6754893Z Command completed after 1 attempt(s).
2025-08-14T22:46:37.6868471Z Prepare all required actions
2025-08-14T22:46:37.6896070Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-08-14T22:46:37.6896420Z with:
2025-08-14T22:46:37.6897022Z   github-token: ***
2025-08-14T22:46:37.6897230Z env:
2025-08-14T22:46:37.6897433Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:37.6897746Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:37.6898077Z ##[endgroup]
2025-08-14T22:46:37.6911814Z ##[group]Run set -eux
2025-08-14T22:46:37.6912059Z set -eux
2025-08-14T22:46:37.6912468Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-14T22:46:37.6927748Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:46:37.6928103Z env:
2025-08-14T22:46:37.6928324Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:37.6928633Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:37.6929148Z   GITHUB_TOKEN: ***
2025-08-14T22:46:37.6929361Z ##[endgroup]
2025-08-14T22:46:37.6966804Z + python3 .github/scripts/get_workflow_job_id.py 16976338999 i-01122f98913b6cb8e
2025-08-14T22:46:39.8848363Z Setting output job-id=48132104835
2025-08-14T22:46:39.8848969Z Setting output job-name=cuda12.8-py3.10-gcc9-sm86 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-14T22:46:39.8964080Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-14T22:46:39.8964758Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-14T22:46:39.8965619Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-08-14T22:46:39.8966456Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-08-14T22:46:39.8975450Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:46:39.8975804Z env:
2025-08-14T22:46:39.8976014Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:39.8976338Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:39.8976724Z   JOB_ID: 48132104835
2025-08-14T22:46:39.8977195Z   JOB_NAME: cuda12.8-py3.10-gcc9-sm86 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-14T22:46:39.8977773Z   WORKFLOW_NAME: inductor-periodic
2025-08-14T22:46:39.8978064Z   WORKFLOW_RUN_ID: 16976338999
2025-08-14T22:46:39.8978327Z   MONITOR_LOG_INTERVAL: 5
2025-08-14T22:46:39.8978597Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-08-14T22:46:39.8978874Z ##[endgroup]
2025-08-14T22:46:40.3347740Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T22:46:40.7286928Z Collecting psutil==5.9.8
2025-08-14T22:46:40.7456801Z   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)
2025-08-14T22:46:40.8232579Z Collecting dataclasses_json==0.6.7
2025-08-14T22:46:40.8265662Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-08-14T22:46:40.8543729Z Collecting nvidia-ml-py==11.525.84
2025-08-14T22:46:40.8576575Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-08-14T22:46:40.8931057Z Collecting typing-inspect<1,>=0.4.0
2025-08-14T22:46:40.8963189Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-08-14T22:46:41.0127128Z Collecting marshmallow<4.0.0,>=3.18.0
2025-08-14T22:46:41.0160530Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-08-14T22:46:41.0746303Z Collecting packaging>=17.0
2025-08-14T22:46:41.0788348Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-08-14T22:46:41.1025293Z Collecting mypy-extensions>=0.3.0
2025-08-14T22:46:41.1057902Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-08-14T22:46:41.1554082Z Collecting typing-extensions>=3.7.4
2025-08-14T22:46:41.1586545Z   Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB)
2025-08-14T22:46:41.2496175Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-08-14T22:46:41.5294667Z 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-4.14.1 typing-inspect-0.9.0
2025-08-14T22:46:41.7386256Z Prepare all required actions
2025-08-14T22:46:41.7386601Z Getting action download info
2025-08-14T22:46:41.8795347Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-08-14T22:46:42.1135490Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-08-14T22:46:42.4455391Z ##[group]Run ./.github/actions/download-build-artifacts
2025-08-14T22:46:42.4455730Z with:
2025-08-14T22:46:42.4455964Z   name: linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-08-14T22:46:42.4456268Z   s3-bucket: gha-artifacts
2025-08-14T22:46:42.4456499Z env:
2025-08-14T22:46:42.4456696Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:42.4456999Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:42.4457320Z ##[endgroup]
2025-08-14T22:46:42.4484606Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-14T22:46:42.4484917Z with:
2025-08-14T22:46:42.4485201Z   name: linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-08-14T22:46:42.4485513Z   s3-bucket: gha-artifacts
2025-08-14T22:46:42.4485764Z   region: us-east-1
2025-08-14T22:46:42.4485973Z env:
2025-08-14T22:46:42.4486165Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:42.4486481Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:42.4486816Z ##[endgroup]
2025-08-14T22:46:42.9148290Z (node:62766) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-14T22:46:42.9148943Z 
2025-08-14T22:46:42.9149195Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-14T22:46:42.9149745Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-14T22:46:42.9150263Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-14T22:46:43.1609266Z Found 1 objects with prefix pytorch/pytorch/16976338999/linux-jammy-cuda12.8-py3.10-gcc9-sm86/
2025-08-14T22:46:43.1610141Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-14T22:46:51.6051182Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-14T22:46:51.6056290Z Artifact download has finished successfully
2025-08-14T22:46:51.6410835Z ##[group]Run unzip -o artifacts.zip
2025-08-14T22:46:51.6411155Z unzip -o artifacts.zip
2025-08-14T22:46:51.6420253Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:46:51.6420645Z env:
2025-08-14T22:46:51.6420859Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:51.6421165Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:51.6421496Z ##[endgroup]
2025-08-14T22:46:51.6491641Z Archive:  artifacts.zip
2025-08-14T22:46:51.6493210Z    creating: dist/
2025-08-14T22:46:53.6729148Z   inflating: dist/torch-2.9.0a0+git1fc683c-cp310-cp310-linux_x86_64.whl  
2025-08-14T22:46:53.6729718Z    creating: dist/vision/
2025-08-14T22:46:53.6833504Z   inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl  
2025-08-14T22:46:53.6834431Z    creating: dist/audio/
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2025-08-14T22:47:02.2472250Z   inflating: build/bin/c10_registry_test  
2025-08-14T22:47:02.2552150Z   inflating: build/bin/c10_optional_test  
2025-08-14T22:47:02.2618588Z   inflating: build/bin/c10_ordered_preserving_dict_test  
2025-08-14T22:47:02.2779454Z   inflating: build/bin/c10_small_vector_test  
2025-08-14T22:47:02.2834811Z   inflating: build/bin/c10_ssize_test  
2025-08-14T22:47:02.2895796Z   inflating: build/bin/c10_string_util_test  
2025-08-14T22:47:02.2950278Z   inflating: build/bin/c10_tempfile_test  
2025-08-14T22:47:02.2999371Z   inflating: build/bin/c10_intrusive_ptr_benchmark  
2025-08-14T22:47:02.3051745Z   inflating: build/bin/c10_string_view_test  
2025-08-14T22:47:02.3111945Z   inflating: build/bin/c10_typeid_test  
2025-08-14T22:47:02.3168434Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_1_var_test  
2025-08-14T22:47:02.3225370Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_catches_stream  
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2025-08-14T22:47:02.3338172Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_multiple_writes_from_blocks_and_threads  
2025-08-14T22:47:02.3395078Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_multiple_writes_from_multiple_blocks  
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2025-08-14T22:47:02.3503802Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_from_2_processes  
2025-08-14T22:47:02.3560257Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_multiple_writes_from_same_block  
2025-08-14T22:47:02.4163553Z   inflating: build/bin/vec_test_all_types_DEFAULT  
2025-08-14T22:47:02.4780531Z   inflating: build/bin/vec_test_all_types_AVX512  
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2025-08-14T22:47:02.5486894Z   inflating: build/bin/Dict_test     
2025-08-14T22:47:02.5543473Z   inflating: build/bin/Dimname_test  
2025-08-14T22:47:02.5612817Z   inflating: build/bin/MaybeOwned_test  
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2025-08-14T22:47:02.5737452Z   inflating: build/bin/apply_utils_test  
2025-08-14T22:47:02.5800934Z   inflating: build/bin/atest         
2025-08-14T22:47:02.5869513Z   inflating: build/bin/basic         
2025-08-14T22:47:02.5928040Z   inflating: build/bin/broadcast_test  
2025-08-14T22:47:02.5983477Z   inflating: build/bin/cpu_allocator_test  
2025-08-14T22:47:02.6046932Z   inflating: build/bin/cpu_generator_test  
2025-08-14T22:47:02.6103557Z   inflating: build/bin/cpu_profiling_allocator_test  
2025-08-14T22:47:02.6201668Z   inflating: build/bin/cpu_rng_test  
2025-08-14T22:47:02.6257312Z   inflating: build/bin/dlconvertor_test  
2025-08-14T22:47:02.6319716Z   inflating: build/bin/extension_backend_test  
2025-08-14T22:47:02.6379836Z   inflating: build/bin/half_test     
2025-08-14T22:47:02.6481825Z   inflating: build/bin/ivalue_test   
2025-08-14T22:47:02.6535684Z   inflating: build/bin/lazy_tensor_test  
2025-08-14T22:47:02.6594683Z   inflating: build/bin/math_kernel_test  
2025-08-14T22:47:02.6653116Z   inflating: build/bin/memory_format_test  
2025-08-14T22:47:02.6710717Z   inflating: build/bin/memory_overlapping_test  
2025-08-14T22:47:02.6768327Z   inflating: build/bin/mobile_memory_cleanup  
2025-08-14T22:47:02.6827982Z   inflating: build/bin/native_test   
2025-08-14T22:47:02.6883110Z   inflating: build/bin/operator_name_test  
2025-08-14T22:47:02.6938798Z   inflating: build/bin/operators_test  
2025-08-14T22:47:02.6994626Z   inflating: build/bin/packedtensoraccessor_test  
2025-08-14T22:47:02.7066005Z   inflating: build/bin/pow_test      
2025-08-14T22:47:02.7127779Z   inflating: build/bin/quantized_test  
2025-08-14T22:47:02.7181989Z   inflating: build/bin/reduce_ops_test  
2025-08-14T22:47:02.7237203Z   inflating: build/bin/reportMemoryUsage_test  
2025-08-14T22:47:02.7298961Z   inflating: build/bin/scalar_tensor_test  
2025-08-14T22:47:02.7361661Z   inflating: build/bin/scalar_test   
2025-08-14T22:47:02.7417770Z   inflating: build/bin/StorageUtils_test  
2025-08-14T22:47:02.7473841Z   inflating: build/bin/stride_properties_test  
2025-08-14T22:47:02.7558444Z   inflating: build/bin/tensor_iterator_test  
2025-08-14T22:47:02.7617511Z   inflating: build/bin/test_parallel  
2025-08-14T22:47:02.7672337Z   inflating: build/bin/thread_init_test  
2025-08-14T22:47:02.7731934Z   inflating: build/bin/type_ptr_test  
2025-08-14T22:47:02.7795347Z   inflating: build/bin/type_test     
2025-08-14T22:47:02.7852348Z   inflating: build/bin/undefined_tensor_test  
2025-08-14T22:47:02.7905261Z   inflating: build/bin/verify_api_visibility  
2025-08-14T22:47:02.7979829Z   inflating: build/bin/legacy_vmap_test  
2025-08-14T22:47:02.8035481Z   inflating: build/bin/weakref_test  
2025-08-14T22:47:02.8091295Z   inflating: build/bin/wrapdim_test  
2025-08-14T22:47:02.8146925Z   inflating: build/bin/xla_tensor_test  
2025-08-14T22:47:02.8210863Z   inflating: build/bin/IListRef_test  
2025-08-14T22:47:02.8322990Z   inflating: build/bin/List_test     
2025-08-14T22:47:02.8393777Z   inflating: build/bin/KernelFunction_test  
2025-08-14T22:47:02.8521020Z   inflating: build/bin/kernel_function_legacy_test  
2025-08-14T22:47:02.8622655Z   inflating: build/bin/kernel_function_test  
2025-08-14T22:47:02.8756567Z   inflating: build/bin/kernel_lambda_legacy_test  
2025-08-14T22:47:02.8864948Z   inflating: build/bin/kernel_lambda_test  
2025-08-14T22:47:02.8930874Z   inflating: build/bin/kernel_stackbased_test  
2025-08-14T22:47:02.9031799Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2025-08-14T22:47:02.9087301Z   inflating: build/bin/CppSignature_test  
2025-08-14T22:47:02.9147077Z   inflating: build/bin/backend_fallback_test  
2025-08-14T22:47:02.9199657Z   inflating: build/bin/op_allowlist_test  
2025-08-14T22:47:02.9507531Z   inflating: build/bin/op_registration_test  
2025-08-14T22:47:02.9578088Z   inflating: build/bin/inline_container_test  
2025-08-14T22:47:02.9634009Z   inflating: build/bin/cuda_allocator_test  
2025-08-14T22:47:02.9691069Z   inflating: build/bin/cuda_apply_test  
2025-08-14T22:47:02.9755002Z   inflating: build/bin/cuda_atomic_ops_test  
2025-08-14T22:47:02.9816558Z   inflating: build/bin/cuda_caching_host_allocator_test  
2025-08-14T22:47:02.9890943Z   inflating: build/bin/cuda_complex_math_test  
2025-08-14T22:47:02.9954673Z   inflating: build/bin/cuda_complex_test  
2025-08-14T22:47:03.0021141Z   inflating: build/bin/cuda_cub_test  
2025-08-14T22:47:03.0074892Z   inflating: build/bin/cuda_device_test  
2025-08-14T22:47:03.0144349Z   inflating: build/bin/cuda_distributions_test  
2025-08-14T22:47:03.0198081Z   inflating: build/bin/cuda_exchange_device_test  
2025-08-14T22:47:03.0254656Z   inflating: build/bin/cuda_dlconvertor_test  
2025-08-14T22:47:03.0311049Z   inflating: build/bin/cuda_reportMemoryUsage_test  
2025-08-14T22:47:03.0366646Z   inflating: build/bin/cuda_integer_divider_test  
2025-08-14T22:47:03.0420388Z   inflating: build/bin/cuda_allocatorTraceTracker_test  
2025-08-14T22:47:03.0486171Z   inflating: build/bin/cuda_stream_test  
2025-08-14T22:47:03.0547686Z   inflating: build/bin/cuda_generator_test  
2025-08-14T22:47:03.0600762Z   inflating: build/bin/cuda_cudnn_test  
2025-08-14T22:47:03.0654767Z   inflating: build/bin/cuda_half_test  
2025-08-14T22:47:03.0709260Z   inflating: build/bin/cuda_optional_test  
2025-08-14T22:47:03.0764617Z   inflating: build/bin/cuda_packedtensoraccessor_test  
2025-08-14T22:47:03.0821325Z   inflating: build/bin/cuda_vectorized_test  
2025-08-14T22:47:03.1946913Z   inflating: build/bin/test_jit      
2025-08-14T22:47:03.2003935Z   inflating: build/bin/FileStoreTest  
2025-08-14T22:47:03.2060592Z   inflating: build/bin/BackoffTest   
2025-08-14T22:47:03.2390754Z   inflating: build/bin/test_nativert  
2025-08-14T22:47:03.2451955Z   inflating: build/bin/TCPStoreTest  
2025-08-14T22:47:03.2508989Z   inflating: build/bin/HashStoreTest  
2025-08-14T22:47:03.2523541Z   inflating: build/bin/ProcessGroupMPITest  
2025-08-14T22:47:03.2526928Z   inflating: build/bin/example_allreduce  
2025-08-14T22:47:03.2597531Z   inflating: build/bin/ProcessGroupGlooTest  
2025-08-14T22:47:03.2659478Z   inflating: build/bin/ProcessGroupGlooAsyncTest  
2025-08-14T22:47:03.2727992Z   inflating: build/bin/ProcessGroupNCCLTest  
2025-08-14T22:47:03.2793729Z   inflating: build/bin/ProcessGroupNCCLErrorsTest  
2025-08-14T22:47:03.2853267Z   inflating: build/bin/test_dist_autograd  
2025-08-14T22:47:03.2926480Z   inflating: build/bin/test_cpp_rpc  
2025-08-14T22:47:03.4131710Z   inflating: build/bin/test_api      
2025-08-14T22:47:03.4134509Z   inflating: build/bin/parallel_benchmark  
2025-08-14T22:47:03.4491530Z   inflating: build/bin/test_lazy     
2025-08-14T22:47:03.4495603Z   inflating: build/bin/torch_shm_manager  
2025-08-14T22:47:03.4496050Z    creating: .additional_ci_files/
2025-08-14T22:47:03.4578029Z   inflating: .additional_ci_files/test-times.json  
2025-08-14T22:47:03.4883829Z   inflating: .additional_ci_files/test-class-times.json  
2025-08-14T22:47:03.4945865Z ##[group]Run rm artifacts.zip
2025-08-14T22:47:03.4946169Z rm artifacts.zip
2025-08-14T22:47:03.4955573Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:47:03.4955936Z env:
2025-08-14T22:47:03.4956140Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:47:03.4956448Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:47:03.4956784Z ##[endgroup]
2025-08-14T22:47:03.9073568Z ##[group]Run df -H
2025-08-14T22:47:03.9073810Z df -H
2025-08-14T22:47:03.9082590Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:47:03.9082935Z env:
2025-08-14T22:47:03.9083151Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:47:03.9083464Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:47:03.9083791Z ##[endgroup]
2025-08-14T22:47:03.9154687Z Filesystem        Size  Used Avail Use% Mounted on
2025-08-14T22:47:03.9155120Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-08-14T22:47:03.9155428Z tmpfs              34G     0   34G   0% /dev/shm
2025-08-14T22:47:03.9155740Z tmpfs              14G  553k   14G   1% /run
2025-08-14T22:47:03.9156030Z /dev/nvme0n1p1    161G   86G   76G  53% /
2025-08-14T22:47:03.9156344Z tmpfs              34G   13k   34G   1% /tmp
2025-08-14T22:47:03.9156663Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-08-14T22:47:03.9156985Z tmpfs             6.7G     0  6.7G   0% /run/user/0
2025-08-14T22:47:03.9195577Z Prepare all required actions
2025-08-14T22:47:03.9196107Z Getting action download info
2025-08-14T22:47:04.0478839Z ##[group]Run ./.github/actions/download-td-artifacts
2025-08-14T22:47:04.0479167Z with:
2025-08-14T22:47:04.0479344Z env:
2025-08-14T22:47:04.0479540Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:47:04.0479853Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:47:04.0480172Z ##[endgroup]
2025-08-14T22:47:04.0506940Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-14T22:47:04.0507263Z with:
2025-08-14T22:47:04.0507463Z   name: td_results
2025-08-14T22:47:04.0507698Z   s3-bucket: gha-artifacts
2025-08-14T22:47:04.0507956Z   region: us-east-1
2025-08-14T22:47:04.0508170Z env:
2025-08-14T22:47:04.0508562Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:47:04.0508888Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:47:04.0509227Z ##[endgroup]
2025-08-14T22:47:04.4954755Z (node:62791) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-14T22:47:04.4955268Z 
2025-08-14T22:47:04.4955450Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-14T22:47:04.4955942Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-14T22:47:04.4956456Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-14T22:47:04.5919848Z Found 0 objects with prefix pytorch/pytorch/16976338999/td_results/
2025-08-14T22:47:04.5925336Z Artifact download has finished successfully
2025-08-14T22:47:04.6257636Z ##[group]Run mkdir -p .additional_ci_files
2025-08-14T22:47:04.6257990Z mkdir -p .additional_ci_files
2025-08-14T22:47:04.6258392Z mv td_results.json .additional_ci_files/td_results.json || true
2025-08-14T22:47:04.6267540Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:47:04.6267885Z env:
2025-08-14T22:47:04.6268087Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:47:04.6268477Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:47:04.6268804Z ##[endgroup]
2025-08-14T22:47:04.6345395Z mv: cannot stat 'td_results.json': No such file or directory
2025-08-14T22:47:04.6375600Z ##[group]Run .github/scripts/parse_ref.py
2025-08-14T22:47:04.6375955Z .github/scripts/parse_ref.py
2025-08-14T22:47:04.6384679Z shell: /usr/bin/bash -e {0}
2025-08-14T22:47:04.6384929Z env:
2025-08-14T22:47:04.6385126Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:47:04.6385432Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:47:04.6385766Z ##[endgroup]
2025-08-14T22:47:04.6618425Z Setting output branch=main
2025-08-14T22:47:04.6735786Z Prepare all required actions
2025-08-14T22:47:04.6736137Z Getting action download info
2025-08-14T22:47:04.7930605Z ##[group]Run ./.github/actions/filter-test-configs
2025-08-14T22:47:04.7930922Z with:
2025-08-14T22:47:04.7931386Z   github-token: ***
2025-08-14T22:47:04.7934606Z   test-matrix: {"include": [{"config": "dynamic_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}
2025-08-14T22:47:04.7938271Z   job-name: cuda12.8-py3.10-gcc9-sm86 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-14T22:47:04.7938778Z env:
2025-08-14T22:47:04.7938975Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:47:04.7939293Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:47:04.7939625Z ##[endgroup]
2025-08-14T22:47:04.7972344Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-14T22:47:04.7972615Z with:
2025-08-14T22:47:04.7972805Z   shell: bash
2025-08-14T22:47:04.7973012Z   timeout_minutes: 10
2025-08-14T22:47:04.7973234Z   max_attempts: 5
2025-08-14T22:47:04.7973466Z   retry_wait_seconds: 30
2025-08-14T22:47:04.7974176Z   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

2025-08-14T22:47:04.7974925Z   polling_interval_seconds: 1
2025-08-14T22:47:04.7975179Z   warning_on_retry: true
2025-08-14T22:47:04.7975453Z   continue_on_error: false
2025-08-14T22:47:04.7975708Z env:
2025-08-14T22:47:04.7975900Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:47:04.7976206Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:47:04.7976664Z   GITHUB_TOKEN: ***
2025-08-14T22:47:04.7976884Z ##[endgroup]
2025-08-14T22:47:04.9003471Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-08-14T22:47:05.1349493Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T22:47:05.2564740Z Collecting requests==2.27.1
2025-08-14T22:47:05.2751831Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-08-14T22:47:05.4473025Z Collecting pyyaml==6.0.2
2025-08-14T22:47:05.4554821Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-08-14T22:47:05.8808185Z Collecting charset-normalizer~=2.0.0
2025-08-14T22:47:05.8850368Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-08-14T22:47:05.8905081Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-08-14T22:47:05.9394472Z Collecting certifi>=2017.4.17
2025-08-14T22:47:05.9434731Z   Downloading certifi-2025.8.3-py3-none-any.whl (161 kB)
2025-08-14T22:47:05.9505974Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-08-14T22:47:06.0330496Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-08-14T22:47:06.1583298Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-08-14T22:47:06.8752757Z Command completed after 1 attempt(s).
2025-08-14T22:47:06.8817470Z ##[group]Run set -x
2025-08-14T22:47:06.8817839Z set -x
2025-08-14T22:47:06.8818051Z 
2025-08-14T22:47:06.8818399Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-14T22:47:06.8818840Z # in runner workspace
2025-08-14T22:47:06.8819190Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-08-14T22:47:06.8828277Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:47:06.8828625Z env:
2025-08-14T22:47:06.8828822Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:47:06.8829125Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:47:06.8829448Z ##[endgroup]
2025-08-14T22:47:06.8861493Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-08-14T22:47:06.9044536Z Setting output branch=main
2025-08-14T22:47:06.9099000Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-14T22:47:06.9099380Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-14T22:47:06.9099705Z echo "Job name: ${JOB_NAME}"
2025-08-14T22:47:06.9099972Z 
2025-08-14T22:47:06.9100314Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-14T22:47:06.9100752Z # in runner workspace
2025-08-14T22:47:06.9101155Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-08-14T22:47:06.9101598Z   --workflow "${GITHUB_WORKFLOW}" \
2025-08-14T22:47:06.9101916Z   --job-name "${JOB_NAME}" \
2025-08-14T22:47:06.9105206Z   --test-matrix "{"include": [{"config": "dynamic_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}" \
2025-08-14T22:47:06.9108881Z   --selected-test-configs "" \
2025-08-14T22:47:06.9109209Z   --pr-number "${PR_NUMBER}" \
2025-08-14T22:47:06.9109511Z   --tag "${TAG}" \
2025-08-14T22:47:06.9109799Z   --event-name "${EVENT_NAME}" \
2025-08-14T22:47:06.9110103Z   --schedule "${SCHEDULE}" \
2025-08-14T22:47:06.9110578Z   --branch "${HEAD_BRANCH}"
2025-08-14T22:47:06.9119514Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:47:06.9119895Z env:
2025-08-14T22:47:06.9120107Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:47:06.9120427Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:47:06.9121095Z   GITHUB_TOKEN: ***
2025-08-14T22:47:06.9121556Z   JOB_NAME: cuda12.8-py3.10-gcc9-sm86 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-14T22:47:06.9122066Z   PR_NUMBER: 
2025-08-14T22:47:06.9122269Z   TAG: 
2025-08-14T22:47:06.9122457Z   EVENT_NAME: schedule
2025-08-14T22:47:06.9122699Z   SCHEDULE: 45 0,4,8,12,16,20 * * 1-5
2025-08-14T22:47:06.9122966Z   HEAD_BRANCH: main
2025-08-14T22:47:06.9123173Z ##[endgroup]
2025-08-14T22:47:06.9157713Z Workflow: inductor-periodic
2025-08-14T22:47:06.9158502Z Job name: cuda12.8-py3.10-gcc9-sm86 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-14T22:47:07.0833265Z Setting output keep-going=True
2025-08-14T22:47:07.0833765Z Setting output ci-verbose-test-logs=False
2025-08-14T22:47:07.0834164Z Setting output ci-test-showlocals=False
2025-08-14T22:47:07.0834482Z Setting output ci-no-test-timeout=False
2025-08-14T22:47:07.0834798Z Setting output ci-no-td=False
2025-08-14T22:47:07.0835084Z Setting output ci-td-distributed=False
2025-08-14T22:47:07.0835391Z Setting output is-unstable=False
2025-08-14T22:47:07.0835680Z Setting output reenabled-issues=
2025-08-14T22:47:07.0839002Z Setting output test-matrix={"include": [{"config": "dynamic_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}
2025-08-14T22:47:07.0842729Z Setting output is-test-matrix-empty=False
2025-08-14T22:47:07.0967249Z ##[group]Run echo "Filtered matrix:"
2025-08-14T22:47:07.0967576Z echo "Filtered matrix:"
2025-08-14T22:47:07.0970823Z echo "{"include": [{"config": "dynamic_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}"
2025-08-14T22:47:07.0974254Z 
2025-08-14T22:47:07.0974455Z echo
2025-08-14T22:47:07.0974913Z echo "Is the current job unstable? False"
2025-08-14T22:47:07.0975226Z 
2025-08-14T22:47:07.0975424Z echo
2025-08-14T22:47:07.0975683Z echo "Is keep-going label set? True"
2025-08-14T22:47:07.0976028Z 
2025-08-14T22:47:07.0976220Z echo
2025-08-14T22:47:07.0976455Z echo "Reenabled issues? "
2025-08-14T22:47:07.0985521Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:47:07.0985869Z env:
2025-08-14T22:47:07.0986076Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:47:07.0986396Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:47:07.0986731Z ##[endgroup]
2025-08-14T22:47:07.1016313Z Filtered matrix:
2025-08-14T22:47:07.1020956Z {include: [{config: dynamic_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.g5.4xlarge.nvidia.gpu}, {config: dynamic_inductor_timm, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: dynamic_inductor_timm, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: dynamic_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: dynamic_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: aot_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.g5.4xlarge.nvidia.gpu}, {config: aot_inductor_timm, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: aot_inductor_timm, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: aot_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: aot_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}]}
2025-08-14T22:47:07.1024755Z 
2025-08-14T22:47:07.1024868Z Is the current job unstable? False
2025-08-14T22:47:07.1025067Z 
2025-08-14T22:47:07.1025187Z Is keep-going label set? True
2025-08-14T22:47:07.1025374Z 
2025-08-14T22:47:07.1025461Z Reenabled issues? 
2025-08-14T22:47:07.1064985Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-14T22:47:07.1065481Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-14T22:47:07.1074727Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:47:07.1075073Z env:
2025-08-14T22:47:07.1075271Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:47:07.1075575Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:47:07.1075904Z   JOB_TIMEOUT: 240
2025-08-14T22:47:07.1076114Z ##[endgroup]
2025-08-14T22:47:07.1129653Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T22:47:07.1130129Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T22:47:07.1130549Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T22:47:07.1138640Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:47:07.1138987Z env:
2025-08-14T22:47:07.1139187Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:47:07.1139500Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:47:07.1139823Z ##[endgroup]
2025-08-14T22:47:07.1248920Z ##[group]Run set -x
2025-08-14T22:47:07.1249228Z set -x
2025-08-14T22:47:07.1249420Z 
2025-08-14T22:47:07.1249649Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-08-14T22:47:07.1250017Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-08-14T22:47:07.1250378Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-08-14T22:47:07.1250724Z   TEST_COMMAND=.ci/onnx/test.sh
2025-08-14T22:47:07.1250995Z else
2025-08-14T22:47:07.1251227Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-08-14T22:47:07.1251503Z fi
2025-08-14T22:47:07.1251691Z 
2025-08-14T22:47:07.1251930Z # Leaving 1GB for the runner and other things
2025-08-14T22:47:07.1252452Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-08-14T22:47:07.1253443Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-08-14T22:47:07.1254103Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-08-14T22:47:07.1254593Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-08-14T22:47:07.1254978Z 
2025-08-14T22:47:07.1255226Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-14T22:47:07.1255540Z   SHM_OPTS=
2025-08-14T22:47:07.1255769Z   JENKINS_USER=
2025-08-14T22:47:07.1256095Z   # ensure that docker container cleanly exits in 12 hours
2025-08-14T22:47:07.1256535Z   # if for some reason cleanup action doesn't stop container
2025-08-14T22:47:07.1256904Z   # when job is cancelled
2025-08-14T22:47:07.1257186Z   DOCKER_SHELL_CMD="sleep 12h"
2025-08-14T22:47:07.1257458Z else
2025-08-14T22:47:07.1257682Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-08-14T22:47:07.1258002Z   JENKINS_USER="--user jenkins"
2025-08-14T22:47:07.1258289Z   DOCKER_SHELL_CMD=
2025-08-14T22:47:07.1258519Z fi
2025-08-14T22:47:07.1258709Z 
2025-08-14T22:47:07.1259015Z # detached container should get cleaned up by teardown_ec2_linux
2025-08-14T22:47:07.1259505Z # TODO: Stop building test binaries as part of the build phase
2025-08-14T22:47:07.1260059Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-08-14T22:47:07.1260551Z # shellcheck disable=SC2086,SC2090
2025-08-14T22:47:07.1260863Z container_name=$(docker run \
2025-08-14T22:47:07.1261140Z   ${GPU_FLAG:-} \
2025-08-14T22:47:07.1261419Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-08-14T22:47:07.1261739Z   -e BUILD_ENVIRONMENT \
2025-08-14T22:47:07.1262014Z   -e PR_NUMBER \
2025-08-14T22:47:07.1262272Z   -e GITHUB_ACTIONS \
2025-08-14T22:47:07.1262548Z   -e GITHUB_REPOSITORY \
2025-08-14T22:47:07.1262835Z   -e GITHUB_WORKFLOW \
2025-08-14T22:47:07.1263095Z   -e GITHUB_JOB \
2025-08-14T22:47:07.1263346Z   -e GITHUB_RUN_ID \
2025-08-14T22:47:07.1263603Z   -e GITHUB_RUN_NUMBER \
2025-08-14T22:47:07.1263871Z   -e GITHUB_RUN_ATTEMPT \
2025-08-14T22:47:07.1264141Z   -e JOB_ID \
2025-08-14T22:47:07.1264376Z   -e JOB_NAME \
2025-08-14T22:47:07.1264610Z   -e BASE_SHA \
2025-08-14T22:47:07.1264845Z   -e BRANCH \
2025-08-14T22:47:07.1265080Z   -e SHA1 \
2025-08-14T22:47:07.1265308Z   -e AWS_DEFAULT_REGION \
2025-08-14T22:47:07.1265584Z   -e IN_WHEEL_TEST \
2025-08-14T22:47:07.1265837Z   -e SHARD_NUMBER \
2025-08-14T22:47:07.1266091Z   -e TEST_CONFIG \
2025-08-14T22:47:07.1266344Z   -e NUM_TEST_SHARDS \
2025-08-14T22:47:07.1266615Z   -e REENABLED_ISSUES \
2025-08-14T22:47:07.1266904Z   -e CONTINUE_THROUGH_ERROR \
2025-08-14T22:47:07.1267321Z   -e VERBOSE_TEST_LOGS \
2025-08-14T22:47:07.1267605Z   -e TEST_SHOWLOCALS \
2025-08-14T22:47:07.1267873Z   -e NO_TEST_TIMEOUT \
2025-08-14T22:47:07.1268125Z   -e NO_TD \
2025-08-14T22:47:07.1268453Z   -e TD_DISTRIBUTED \
2025-08-14T22:47:07.1268716Z   -e PR_LABELS \
2025-08-14T22:47:07.1268992Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-08-14T22:47:07.1269296Z   -e SCCACHE_BUCKET \
2025-08-14T22:47:07.1269567Z   -e SCCACHE_REGION \
2025-08-14T22:47:07.1269829Z   -e XLA_CUDA \
2025-08-14T22:47:07.1270097Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-08-14T22:47:07.1270437Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-08-14T22:47:07.1270786Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-08-14T22:47:07.1271124Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-08-14T22:47:07.1271535Z   -e HUGGING_FACE_HUB_TOKEN \
2025-08-14T22:47:07.1271849Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-08-14T22:47:07.1272145Z   -e DASHBOARD_TAG \
2025-08-14T22:47:07.1272410Z   -e ARTIFACTS_FILE_SUFFIX \
2025-08-14T22:47:07.1272759Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-08-14T22:47:07.1273152Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-08-14T22:47:07.1273533Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-08-14T22:47:07.1273905Z   --security-opt seccomp=unconfined \
2025-08-14T22:47:07.1274232Z   --cap-add=SYS_PTRACE \
2025-08-14T22:47:07.1274511Z   --ipc=host \
2025-08-14T22:47:07.1274742Z   ${SHM_OPTS} \
2025-08-14T22:47:07.1274974Z   --tty \
2025-08-14T22:47:07.1275197Z   --detach \
2025-08-14T22:47:07.1275439Z   --name="${container_name}" \
2025-08-14T22:47:07.1275732Z   ${JENKINS_USER} \
2025-08-14T22:47:07.1276065Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-08-14T22:47:07.1276443Z   -w /var/lib/jenkins/workspace \
2025-08-14T22:47:07.1276737Z   "${DOCKER_IMAGE}" \
2025-08-14T22:47:07.1276998Z   ${DOCKER_SHELL_CMD}
2025-08-14T22:47:07.1277235Z )
2025-08-14T22:47:07.1277509Z # Propagate download.pytorch.org IP to container
2025-08-14T22:47:07.1278133Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts"
2025-08-14T22:47:07.1278789Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-08-14T22:47:07.1279157Z 
2025-08-14T22:47:07.1279407Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-14T22:47:07.1279940Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-08-14T22:47:07.1280418Z fi
2025-08-14T22:47:07.1280603Z 
2025-08-14T22:47:07.1281062Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-08-14T22:47:07.1289563Z shell: /usr/bin/bash -e {0}
2025-08-14T22:47:07.1289808Z env:
2025-08-14T22:47:07.1290005Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:47:07.1290314Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:47:07.1290749Z   BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-08-14T22:47:07.1291097Z   PR_NUMBER: 
2025-08-14T22:47:07.1291325Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-08-14T22:47:07.1291628Z   GITHUB_WORKFLOW: inductor-periodic
2025-08-14T22:47:07.1291913Z   GITHUB_JOB: test
2025-08-14T22:47:07.1292134Z   GITHUB_RUN_ID: 16976338999
2025-08-14T22:47:07.1292393Z   GITHUB_RUN_NUMBER: 66307
2025-08-14T22:47:07.1292640Z   GITHUB_RUN_ATTEMPT: 1
2025-08-14T22:47:07.1292865Z   JOB_ID: 48132104835
2025-08-14T22:47:07.1293351Z   JOB_NAME: cuda12.8-py3.10-gcc9-sm86 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-14T22:47:07.1293876Z   BRANCH: main
2025-08-14T22:47:07.1304644Z   SHA1: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:47:07.1305044Z   BASE_SHA: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:47:07.1305406Z   TEST_CONFIG: dynamic_inductor_torchbench
2025-08-14T22:47:07.1305705Z   SHARD_NUMBER: 2
2025-08-14T22:47:07.1305933Z   NUM_TEST_SHARDS: 2
2025-08-14T22:47:07.1306195Z   REENABLED_ISSUES: 
2025-08-14T22:47:07.1306460Z   CONTINUE_THROUGH_ERROR: True
2025-08-14T22:47:07.1306735Z   VERBOSE_TEST_LOGS: False
2025-08-14T22:47:07.1306994Z   TEST_SHOWLOCALS: False
2025-08-14T22:47:07.1307240Z   NO_TEST_TIMEOUT: False
2025-08-14T22:47:07.1307482Z   NO_TD: False
2025-08-14T22:47:07.1307707Z   TD_DISTRIBUTED: False
2025-08-14T22:47:07.1307999Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-08-14T22:47:07.1308443Z   SCCACHE_REGION: us-east-1
2025-08-14T22:47:07.1308695Z   SHM_SIZE: 2g
2025-08-14T22:47:07.1309547Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:47:07.1310547Z   XLA_CUDA: 
2025-08-14T22:47:07.1310896Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-08-14T22:47:07.1311328Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-08-14T22:47:07.1311625Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-08-14T22:47:07.1311916Z   DASHBOARD_TAG: 
2025-08-14T22:47:07.1312300Z   HUGGING_FACE_HUB_TOKEN: ***
2025-08-14T22:47:07.1312696Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-08-14T22:47:07.1313209Z   ARTIFACTS_FILE_SUFFIX: test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48132104835
2025-08-14T22:47:07.1313736Z ##[endgroup]
2025-08-14T22:47:07.1343330Z + [[ dynamic_inductor_torchbench == \m\u\l\t\i\g\p\u ]]
2025-08-14T22:47:07.1343744Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *onnx* ]]
2025-08-14T22:47:07.1344096Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-08-14T22:47:07.1347252Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-08-14T22:47:07.1380420Z + TOTAL_AVAILABLE_MEMORY_IN_GB='61.094 '
2025-08-14T22:47:07.1380725Z + TOTAL_MEMORY_WITH_SWAP=64
2025-08-14T22:47:07.1381056Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *\s\3\9\0\x* ]]
2025-08-14T22:47:07.1381414Z + SHM_OPTS=--shm-size=2g
2025-08-14T22:47:07.1381669Z + JENKINS_USER='--user jenkins'
2025-08-14T22:47:07.1381920Z + DOCKER_SHELL_CMD=
2025-08-14T22:47:07.1391683Z +++ nproc --ignore=2
2025-08-14T22:47:07.1422418Z ++ 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 SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=61g --memory-swap=64g --env-file=/tmp/github_env_16976338999 --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-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:47:17.6268918Z + container_name=42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-14T22:47:17.6274979Z + grep download.pytorch.org /etc/hosts
2025-08-14T22:47:17.6277131Z + docker exec -i 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587 sudo bash -c '/bin/cat >> /etc/hosts'
2025-08-14T22:47:17.8066614Z + echo DOCKER_CONTAINER_ID=42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-14T22:47:17.8068980Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *\s\3\9\0\x* ]]
2025-08-14T22:47:17.8074171Z ++ echo dist/torch-2.9.0a0+git1fc683c-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:17.8077686Z + docker exec -t 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git1fc683c-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-08-14T22:47:18.3143642Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git1fc683c)
2025-08-14T22:47:18.6309793Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.18.0)
2025-08-14T22:47:18.6314055Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (4.14.1)
2025-08-14T22:47:18.6319411Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.13.3)
2025-08-14T22:47:18.6324308Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2.8.8)
2025-08-14T22:47:18.6328712Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.1.6)
2025-08-14T22:47:18.6333899Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2025.3.0)
2025-08-14T22:47:18.6347665Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.3.0)
2025-08-14T22:47:18.6736170Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.22.4)
2025-08-14T22:47:18.6754276Z 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==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.3.0)
2025-08-14T22:47:18.6814213Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.0.2)
2025-08-14T22:47:19.6231529Z Installing collected packages: torch
2025-08-14T22:47:30.6370621Z 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.
2025-08-14T22:47:30.6372507Z dall-e 0.1 requires torchvision, which is not installed.
2025-08-14T22:47:30.6373112Z effdet 0.4.1 requires torchvision, which is not installed.
2025-08-14T22:47:30.6373611Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed.
2025-08-14T22:47:30.6374172Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed.
2025-08-14T22:47:30.6374866Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed.
2025-08-14T22:47:30.6375613Z timm 1.0.14 requires torchvision, which is not installed.
2025-08-14T22:47:30.6376093Z Successfully installed torch-2.9.0a0+git1fc683c
2025-08-14T22:47:30.7451538Z + export TERM=vt100
2025-08-14T22:47:30.7451799Z + TERM=vt100
2025-08-14T22:47:30.7454659Z ++ dirname .ci/pytorch/test.sh
2025-08-14T22:47:30.7563195Z + source .ci/pytorch/common.sh
2025-08-14T22:47:30.7566761Z +++ dirname .ci/pytorch/common.sh
2025-08-14T22:47:30.7575904Z ++ source .ci/pytorch/common_utils.sh
2025-08-14T22:47:30.7623765Z +++ declare -f -t trap_add
2025-08-14T22:47:30.7628345Z ++ set -ex -o pipefail
2025-08-14T22:47:30.7628673Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]]
2025-08-14T22:47:30.7629011Z ++ BUILD_TEST_LIBTORCH=0
2025-08-14T22:47:30.7687425Z ++ dirname .ci/pytorch/test.sh
2025-08-14T22:47:30.7697919Z + source .ci/pytorch/common-build.sh
2025-08-14T22:47:30.7744157Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *win-* ]]
2025-08-14T22:47:30.7750513Z ++++ dirname .ci/pytorch/common-build.sh
2025-08-14T22:47:30.7875145Z +++ cd .ci/pytorch
2025-08-14T22:47:30.7875415Z +++ pwd -P
2025-08-14T22:47:30.7878078Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-08-14T22:47:30.7878591Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *-pch* ]]
2025-08-14T22:47:30.7878934Z ++ which sccache
2025-08-14T22:47:30.7998394Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-08-14T22:47:30.7998741Z ++ sccache --stop-server
2025-08-14T22:47:30.8033424Z ++ true
2025-08-14T22:47:30.8033709Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-08-14T22:47:30.8146206Z ++ trap_add sccache_epilogue EXIT
2025-08-14T22:47:30.8146559Z ++ trap_add_cmd=sccache_epilogue
2025-08-14T22:47:30.8146817Z ++ shift
2025-08-14T22:47:30.8147023Z ++ for trap_add_name in "$@"
2025-08-14T22:47:30.8154279Z ++++ trap -p EXIT
2025-08-14T22:47:30.8157125Z +++ eval 'extract_trap_cmd '
2025-08-14T22:47:30.8157442Z ++++ extract_trap_cmd
2025-08-14T22:47:30.8157665Z ++++ printf '%s\n' ''
2025-08-14T22:47:30.8157912Z +++ printf '%s\n' sccache_epilogue
2025-08-14T22:47:30.8160842Z ++ trap -- '
2025-08-14T22:47:30.8161227Z sccache_epilogue' EXIT
2025-08-14T22:47:30.8161599Z ++ [[ -n 1 ]]
2025-08-14T22:47:30.8162113Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-08-14T22:47:30.8162731Z Skipping sccache server initialization, setting environment variables
2025-08-14T22:47:30.8163149Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-08-14T22:47:30.8163426Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-08-14T22:47:30.8163772Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T22:47:30.8164206Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T22:47:30.8164582Z ++ export RUST_LOG=sccache::server=error
2025-08-14T22:47:30.8164886Z ++ RUST_LOG=sccache::server=error
2025-08-14T22:47:30.8165148Z ++ sccache --zero-stats
2025-08-14T22:47:31.2028517Z Statistics zeroed.
2025-08-14T22:47:31.2037028Z ++ which ccache
2025-08-14T22:47:31.2076330Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *rocm* ]]
2025-08-14T22:47:31.2076865Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *s390x* ]]
2025-08-14T22:47:31.2077226Z + [[ -d /var/lib/jenkins/workspace ]]
2025-08-14T22:47:31.2079794Z ++ stat -c %u /var/lib/jenkins/workspace
2025-08-14T22:47:31.2170285Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-08-14T22:47:31.2170587Z + trap_add cleanup_workspace EXIT
2025-08-14T22:47:31.2170877Z + trap_add_cmd=cleanup_workspace
2025-08-14T22:47:31.2171133Z + shift
2025-08-14T22:47:31.2171361Z + for trap_add_name in "$@"
2025-08-14T22:47:31.2179089Z +++ trap -p EXIT
2025-08-14T22:47:31.2182559Z ++ eval 'extract_trap_cmd trap -- '\''
2025-08-14T22:47:31.2182851Z sccache_epilogue'\'' EXIT'
2025-08-14T22:47:31.2183112Z +++ extract_trap_cmd trap -- '
2025-08-14T22:47:31.2183366Z sccache_epilogue' EXIT
2025-08-14T22:47:31.2183587Z +++ printf '%s\n' '
2025-08-14T22:47:31.2183793Z sccache_epilogue'
2025-08-14T22:47:31.2184022Z ++ printf '%s\n' cleanup_workspace
2025-08-14T22:47:31.2186287Z + trap -- '
2025-08-14T22:47:31.2186481Z sccache_epilogue
2025-08-14T22:47:31.2186699Z cleanup_workspace' EXIT
2025-08-14T22:47:31.2186984Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-08-14T22:47:32.2113574Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-08-14T22:47:32.2613901Z + echo 'Environment variables:'
2025-08-14T22:47:32.2614197Z Environment variables:
2025-08-14T22:47:32.2614424Z + env
2025-08-14T22:47:32.2694012Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T22:47:32.2694751Z CONTINUE_THROUGH_ERROR=True
2025-08-14T22:47:32.2696183Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-08-14T22:47:32.2696557Z HOSTNAME=42f68e3f3393
2025-08-14T22:47:32.2697102Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_66200757-1569-4cd9-bb81-aaefedf15822
2025-08-14T22:47:32.2697661Z GITHUB_ACTION=__run_2
2025-08-14T22:47:32.2697915Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-14T22:47:32.2698192Z GITHUB_RUN_NUMBER=66307
2025-08-14T22:47:32.2698444Z TEST_CONFIG=dynamic_inductor_torchbench
2025-08-14T22:47:32.2698745Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-14T22:47:32.2699047Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-14T22:47:32.2699333Z SCCACHE_IDLE_TIMEOUT=0
2025-08-14T22:47:32.2699779Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-14T22:47:32.2700064Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-14T22:47:32.2700352Z GITHUB_REF_TYPE=branch
2025-08-14T22:47:32.2700583Z TORCH_CUDA_ARCH_LIST=Maxwell
2025-08-14T22:47:32.2701043Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:47:32.2701355Z XLA_CUDA=
2025-08-14T22:47:32.2701565Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-14T22:47:32.2701945Z HUGGING_FACE_HUB_TOKEN=***
2025-08-14T22:47:32.2703935Z ***
2025-08-14T22:47:32.2704150Z GITHUB_REPOSITORY_ID=65600975
2025-08-14T22:47:32.2704402Z GITHUB_ACTIONS=true
2025-08-14T22:47:32.2704637Z NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:47:32.2704954Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T22:47:32.2705307Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:47:32.2705645Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:47:32.2706272Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main
2025-08-14T22:47:32.2706909Z UCC_HOME=/usr
2025-08-14T22:47:32.2707121Z VERBOSE_TEST_LOGS=False
2025-08-14T22:47:32.2707356Z GITHUB_REF=refs/heads/main
2025-08-14T22:47:32.2707583Z SHARD_NUMBER=2
2025-08-14T22:47:32.2707806Z GITHUB_REF_PROTECTED=true
2025-08-14T22:47:32.2708041Z HOME=/var/lib/jenkins
2025-08-14T22:47:32.2708378Z GITHUB_API_URL=https://api.github.com
2025-08-14T22:47:32.2708682Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-14T22:47:32.2709001Z UCX_COMMIT=7bb2722ff2187a0cad557ae4a6afa090569f83fb
2025-08-14T22:47:32.2709309Z USE_SYSTEM_NCCL=1
2025-08-14T22:47:32.2709511Z NUM_TEST_SHARDS=2
2025-08-14T22:47:32.2709710Z UCX_HOME=/usr
2025-08-14T22:47:32.2710362Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_66200757-1569-4cd9-bb81-aaefedf15822
2025-08-14T22:47:32.2711467Z JOB_NAME=cuda12.8-py3.10-gcc9-sm86 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-14T22:47:32.2712552Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_66200757-1569-4cd9-bb81-aaefedf15822
2025-08-14T22:47:32.2713387Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-14T22:47:32.2713849Z GITHUB_EVENT_NAME=schedule
2025-08-14T22:47:32.2714099Z DASHBOARD_TAG=
2025-08-14T22:47:32.2714320Z GITHUB_RUN_ID=16976338999
2025-08-14T22:47:32.2714564Z INSTALLED_OPENBLAS=
2025-08-14T22:47:32.2715112Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_66200757-1569-4cd9-bb81-aaefedf15822
2025-08-14T22:47:32.2715731Z GITHUB_ACTOR=pytorchmergebot
2025-08-14T22:47:32.2715983Z PR_NUMBER=
2025-08-14T22:47:32.2716176Z DESIRED_CUDA=12.8.1
2025-08-14T22:47:32.2716395Z GITHUB_RUN_ATTEMPT=1
2025-08-14T22:47:32.2716637Z ANACONDA_PYTHON_VERSION=3.10
2025-08-14T22:47:32.2716945Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-14T22:47:32.2717266Z TERM=vt100
2025-08-14T22:47:32.2717463Z INSTALLED_VISION=yes
2025-08-14T22:47:32.2717676Z BRANCH=main
2025-08-14T22:47:32.2717889Z SCCACHE_REGION=us-east-1
2025-08-14T22:47:32.2718140Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-14T22:47:32.2718400Z CUDA_PATH=/usr/local/cuda
2025-08-14T22:47:32.2718873Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-14T22:47:32.2719544Z GITHUB_SERVER_URL=https://github.com
2025-08-14T22:47:32.2719883Z UCC_COMMIT=20eae37090a4ce1b32bcce6144ccad0b49943e0b
2025-08-14T22:47:32.2720198Z REENABLED_ISSUES=
2025-08-14T22:47:32.2720400Z DOCS=
2025-08-14T22:47:32.2720579Z SHLVL=1
2025-08-14T22:47:32.2720752Z MAX_JOBS=14
2025-08-14T22:47:32.2720952Z GITHUB_ACTOR_ID=97764156
2025-08-14T22:47:32.2721267Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:47:32.2721604Z GITHUB_REF_NAME=main
2025-08-14T22:47:32.2721957Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-14T22:47:32.2722349Z GITHUB_JOB=test
2025-08-14T22:47:32.2722554Z NO_TEST_TIMEOUT=False
2025-08-14T22:47:32.2722781Z TD_DISTRIBUTED=False
2025-08-14T22:47:32.2723029Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-14T22:47:32.2723301Z GITHUB_RETENTION_DAYS=90
2025-08-14T22:47:32.2723545Z OPENSSL_DIR=/opt/openssl
2025-08-14T22:47:32.2723790Z GITHUB_ACTION_REPOSITORY=
2025-08-14T22:47:32.2724644Z 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
2025-08-14T22:47:32.2725352Z GITHUB_BASE_REF=
2025-08-14T22:47:32.2725565Z INSTALLED_ACL=
2025-08-14T22:47:32.2726017Z ARTIFACTS_FILE_SUFFIX=test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48132104835
2025-08-14T22:47:32.2726511Z CI=true
2025-08-14T22:47:32.2726714Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-14T22:47:32.2727018Z RUST_LOG=sccache::server=error
2025-08-14T22:47:32.2727260Z JOB_ID=48132104835
2025-08-14T22:47:32.2727468Z GITHUB_HEAD_REF=
2025-08-14T22:47:32.2727677Z GITHUB_ACTION_REF=
2025-08-14T22:47:32.2727941Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-14T22:47:32.2728267Z TEST_SHOWLOCALS=False
2025-08-14T22:47:32.2728532Z GITHUB_WORKFLOW=inductor-periodic
2025-08-14T22:47:32.2728818Z DEBIAN_FRONTEND=noninteractive
2025-08-14T22:47:32.2729384Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_66200757-1569-4cd9-bb81-aaefedf15822
2025-08-14T22:47:32.2729963Z NO_TD=False
2025-08-14T22:47:32.2730177Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-14T22:47:32.2730457Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-14T22:47:32.2730741Z _=/usr/bin/env
2025-08-14T22:47:32.2731036Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-08-14T22:47:32.3044574Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-08-14T22:47:32.3045156Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-08-14T22:47:32.3045697Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-08-14T22:47:32.3046249Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-08-14T22:47:32.3046653Z + BUILD_DIR=build
2025-08-14T22:47:32.3046887Z + BUILD_RENAMED_DIR=build_renamed
2025-08-14T22:47:32.3047161Z + BUILD_BIN_DIR=build/bin
2025-08-14T22:47:32.3047400Z + SHARD_NUMBER=2
2025-08-14T22:47:32.3047613Z + NUM_TEST_SHARDS=2
2025-08-14T22:47:32.3047856Z + export TORCH_SERIALIZATION_DEBUG=1
2025-08-14T22:47:32.3048144Z + TORCH_SERIALIZATION_DEBUG=1
2025-08-14T22:47:32.3048396Z + export VALGRIND=ON
2025-08-14T22:47:32.3048616Z + VALGRIND=ON
2025-08-14T22:47:32.3048908Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *clang9* ]]
2025-08-14T22:47:32.3049305Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *xpu* ]]
2025-08-14T22:47:32.3049697Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *s390x* ]]
2025-08-14T22:47:32.3050015Z + [[ 0 == \1 ]]
2025-08-14T22:47:32.3050211Z + [[ True == \1 ]]
2025-08-14T22:47:32.3050488Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *bazel* ]]
2025-08-14T22:47:32.3051072Z ++ realpath build/custom_test_artifacts
2025-08-14T22:47:32.3074355Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-08-14T22:47:32.3074960Z + [[ -n '' ]]
2025-08-14T22:47:32.3075192Z + echo 'Environment variables'
2025-08-14T22:47:32.3075547Z Environment variables
2025-08-14T22:47:32.3075769Z + env
2025-08-14T22:47:32.3094867Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T22:47:32.3095314Z CONTINUE_THROUGH_ERROR=True
2025-08-14T22:47:32.3095712Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-08-14T22:47:32.3096166Z HOSTNAME=42f68e3f3393
2025-08-14T22:47:32.3096835Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_66200757-1569-4cd9-bb81-aaefedf15822
2025-08-14T22:47:32.3097643Z GITHUB_ACTION=__run_2
2025-08-14T22:47:32.3097965Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-14T22:47:32.3098336Z GITHUB_RUN_NUMBER=66307
2025-08-14T22:47:32.3098611Z TEST_CONFIG=dynamic_inductor_torchbench
2025-08-14T22:47:32.3098908Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-14T22:47:32.3099218Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-14T22:47:32.3099593Z SCCACHE_IDLE_TIMEOUT=0
2025-08-14T22:47:32.3100083Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-14T22:47:32.3100630Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-14T22:47:32.3100931Z GITHUB_REF_TYPE=branch
2025-08-14T22:47:32.3101172Z TORCH_CUDA_ARCH_LIST=Maxwell
2025-08-14T22:47:32.3101461Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:47:32.3101762Z XLA_CUDA=
2025-08-14T22:47:32.3101991Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-14T22:47:32.3102393Z HUGGING_FACE_HUB_TOKEN=***
2025-08-14T22:47:32.3102671Z ***
2025-08-14T22:47:32.3102873Z GITHUB_REPOSITORY_ID=65600975
2025-08-14T22:47:32.3103132Z GITHUB_ACTIONS=true
2025-08-14T22:47:32.3103364Z NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:47:32.3103685Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T22:47:32.3104041Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:47:32.3104421Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:47:32.3104957Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main
2025-08-14T22:47:32.3105442Z UCC_HOME=/usr
2025-08-14T22:47:32.3105669Z TORCH_SERIALIZATION_DEBUG=1
2025-08-14T22:47:32.3105917Z VERBOSE_TEST_LOGS=False
2025-08-14T22:47:32.3106162Z GITHUB_REF=refs/heads/main
2025-08-14T22:47:32.3106407Z SHARD_NUMBER=2
2025-08-14T22:47:32.3106618Z GITHUB_REF_PROTECTED=true
2025-08-14T22:47:32.3117938Z HOME=/var/lib/jenkins
2025-08-14T22:47:32.3118263Z GITHUB_API_URL=https://api.github.com
2025-08-14T22:47:32.3118594Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-14T22:47:32.3118945Z UCX_COMMIT=7bb2722ff2187a0cad557ae4a6afa090569f83fb
2025-08-14T22:47:32.3119274Z USE_SYSTEM_NCCL=1
2025-08-14T22:47:32.3119506Z NUM_TEST_SHARDS=2
2025-08-14T22:47:32.3119730Z UCX_HOME=/usr
2025-08-14T22:47:32.3120262Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_66200757-1569-4cd9-bb81-aaefedf15822
2025-08-14T22:47:32.3121107Z JOB_NAME=cuda12.8-py3.10-gcc9-sm86 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-14T22:47:32.3121925Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_66200757-1569-4cd9-bb81-aaefedf15822
2025-08-14T22:47:32.3122686Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-14T22:47:32.3123155Z GITHUB_EVENT_NAME=schedule
2025-08-14T22:47:32.3123418Z DASHBOARD_TAG=
2025-08-14T22:47:32.3123650Z GITHUB_RUN_ID=16976338999
2025-08-14T22:47:32.3123904Z INSTALLED_OPENBLAS=
2025-08-14T22:47:32.3124502Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_66200757-1569-4cd9-bb81-aaefedf15822
2025-08-14T22:47:32.3125185Z GITHUB_ACTOR=pytorchmergebot
2025-08-14T22:47:32.3125451Z PR_NUMBER=
2025-08-14T22:47:32.3125660Z DESIRED_CUDA=12.8.1
2025-08-14T22:47:32.3125894Z GITHUB_RUN_ATTEMPT=1
2025-08-14T22:47:32.3126130Z VALGRIND=ON
2025-08-14T22:47:32.3126350Z ANACONDA_PYTHON_VERSION=3.10
2025-08-14T22:47:32.3126676Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-14T22:47:32.3127012Z TERM=vt100
2025-08-14T22:47:32.3127221Z INSTALLED_VISION=yes
2025-08-14T22:47:32.3127463Z BRANCH=main
2025-08-14T22:47:32.3127685Z SCCACHE_REGION=us-east-1
2025-08-14T22:47:32.3128069Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-14T22:47:32.3128343Z CUDA_PATH=/usr/local/cuda
2025-08-14T22:47:32.3128826Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-14T22:47:32.3129353Z GITHUB_SERVER_URL=https://github.com
2025-08-14T22:47:32.3129708Z UCC_COMMIT=20eae37090a4ce1b32bcce6144ccad0b49943e0b
2025-08-14T22:47:32.3130046Z REENABLED_ISSUES=
2025-08-14T22:47:32.3130268Z DOCS=
2025-08-14T22:47:32.3130453Z SHLVL=1
2025-08-14T22:47:32.3130646Z MAX_JOBS=14
2025-08-14T22:47:32.3130859Z GITHUB_ACTOR_ID=97764156
2025-08-14T22:47:32.3131173Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:47:32.3131530Z GITHUB_REF_NAME=main
2025-08-14T22:47:32.3131896Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-14T22:47:32.3132289Z GITHUB_JOB=test
2025-08-14T22:47:32.3132510Z NO_TEST_TIMEOUT=False
2025-08-14T22:47:32.3132843Z TD_DISTRIBUTED=False
2025-08-14T22:47:32.3133100Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-14T22:47:32.3133391Z GITHUB_RETENTION_DAYS=90
2025-08-14T22:47:32.3133645Z OPENSSL_DIR=/opt/openssl
2025-08-14T22:47:32.3133898Z GITHUB_ACTION_REPOSITORY=
2025-08-14T22:47:32.3134614Z 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
2025-08-14T22:47:32.3135391Z GITHUB_BASE_REF=
2025-08-14T22:47:32.3135611Z INSTALLED_ACL=
2025-08-14T22:47:32.3136077Z ARTIFACTS_FILE_SUFFIX=test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48132104835
2025-08-14T22:47:32.3136596Z CI=true
2025-08-14T22:47:32.3136817Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-14T22:47:32.3137111Z RUST_LOG=sccache::server=error
2025-08-14T22:47:32.3137372Z JOB_ID=48132104835
2025-08-14T22:47:32.3137589Z GITHUB_HEAD_REF=
2025-08-14T22:47:32.3137805Z GITHUB_ACTION_REF=
2025-08-14T22:47:32.3138085Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-14T22:47:32.3138418Z TEST_SHOWLOCALS=False
2025-08-14T22:47:32.3138675Z GITHUB_WORKFLOW=inductor-periodic
2025-08-14T22:47:32.3138966Z DEBIAN_FRONTEND=noninteractive
2025-08-14T22:47:32.3139540Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_66200757-1569-4cd9-bb81-aaefedf15822
2025-08-14T22:47:32.3140111Z NO_TD=False
2025-08-14T22:47:32.3140342Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-14T22:47:32.3140636Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-14T22:47:32.3140922Z _=/usr/bin/env
2025-08-14T22:47:32.3141143Z + echo 'Testing pytorch'
2025-08-14T22:47:32.3141640Z Testing pytorch
2025-08-14T22:47:32.3141923Z + export LANG=C.UTF-8
2025-08-14T22:47:32.3142145Z + LANG=C.UTF-8
2025-08-14T22:47:32.3166149Z + PR_NUMBER=
2025-08-14T22:47:32.3166523Z + [[ dynamic_inductor_torchbench == \d\e\f\a\u\l\t ]]
2025-08-14T22:47:32.3167087Z + [[ dynamic_inductor_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-08-14T22:47:32.3167665Z + [[ dynamic_inductor_torchbench == \s\l\o\w ]]
2025-08-14T22:47:32.3168096Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *slow-gradcheck* ]]
2025-08-14T22:47:32.3168525Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *cuda* ]]
2025-08-14T22:47:32.3168885Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-08-14T22:47:32.3169203Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-08-14T22:47:32.3169526Z + [[ dynamic_inductor_torchbench == *crossref* ]]
2025-08-14T22:47:32.3169886Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]]
2025-08-14T22:47:32.3170265Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *xpu* ]]
2025-08-14T22:47:32.3170656Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *-bazel-* ]]
2025-08-14T22:47:32.3170995Z + pip_install ninja==1.10.2
2025-08-14T22:47:32.3171333Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-14T22:47:32.3171760Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-08-14T22:47:32.8056288Z Collecting ninja==1.10.2
2025-08-14T22:47:32.8230661Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-08-14T22:47:32.8343592Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-08-14T22:47:33.7615865Z Installing collected packages: ninja
2025-08-14T22:47:33.7616325Z   Attempting uninstall: ninja
2025-08-14T22:47:33.7625166Z     Found existing installation: ninja 1.11.1.3
2025-08-14T22:47:33.7649945Z     Uninstalling ninja-1.11.1.3:
2025-08-14T22:47:33.7741305Z       Successfully uninstalled ninja-1.11.1.3
2025-08-14T22:47:33.8476617Z Successfully installed ninja-1.10.2
2025-08-14T22:47:33.9420491Z + 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
2025-08-14T22:47:33.9422263Z + 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
2025-08-14T22:47:33.9423555Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *aarch64* ]]
2025-08-14T22:47:33.9424052Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *asan* ]]
2025-08-14T22:47:33.9424451Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *-debug* ]]
2025-08-14T22:47:33.9424939Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *-bazel-* ]]
2025-08-14T22:47:33.9425501Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm86. Expect the assertion to pass'
2025-08-14T22:47:33.9426264Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm86. Expect the assertion to pass
2025-08-14T22:47:33.9426793Z + cd test
2025-08-14T22:47:33.9427118Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-08-14T22:47:36.7435173Z + [[ dynamic_inductor_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-08-14T22:47:36.7435656Z + [[ dynamic_inductor_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-08-14T22:47:36.7436227Z + [[ dynamic_inductor_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-08-14T22:47:36.7438815Z + DYNAMO_BENCHMARK_FLAGS=()
2025-08-14T22:47:36.7439227Z + [[ dynamic_inductor_torchbench == *pr_time_benchmarks* ]]
2025-08-14T22:47:36.7439638Z + [[ dynamic_inductor_torchbench == *dynamo_eager* ]]
2025-08-14T22:47:36.7440066Z + [[ dynamic_inductor_torchbench == *aot_eager* ]]
2025-08-14T22:47:36.7440423Z + [[ dynamic_inductor_torchbench == *aot_inductor* ]]
2025-08-14T22:47:36.7440902Z + [[ dynamic_inductor_torchbench == *max_autotune_inductor* ]]
2025-08-14T22:47:36.7441286Z + [[ dynamic_inductor_torchbench == *inductor* ]]
2025-08-14T22:47:36.7441806Z + [[ dynamic_inductor_torchbench != *perf* ]]
2025-08-14T22:47:36.7442137Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor)
2025-08-14T22:47:36.7442458Z + [[ dynamic_inductor_torchbench == *dynamic* ]]
2025-08-14T22:47:36.7442875Z + DYNAMO_BENCHMARK_FLAGS+=(--dynamic-shapes --dynamic-batch-only)
2025-08-14T22:47:36.7443281Z + [[ dynamic_inductor_torchbench == *cpu* ]]
2025-08-14T22:47:36.7443605Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
2025-08-14T22:47:36.7469405Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *libtorch* ]]
2025-08-14T22:47:36.7469979Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *-bazel-* ]]
2025-08-14T22:47:36.7474815Z + cd test
2025-08-14T22:47:36.7475433Z + python -c 'import torch; print(torch.__config__.show())'
2025-08-14T22:47:38.4423912Z PyTorch built with:
2025-08-14T22:47:38.4424187Z   - GCC 9.5
2025-08-14T22:47:38.4424384Z   - C++ Version: 201703
2025-08-14T22:47:38.4424898Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-14T22:47:38.4425550Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-14T22:47:38.4425957Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-14T22:47:38.4426268Z   - LAPACK is enabled (usually provided by MKL)
2025-08-14T22:47:38.4426573Z   - NNPACK is enabled
2025-08-14T22:47:38.4426815Z   - CPU capability usage: AVX2
2025-08-14T22:47:38.4427087Z   - CUDA Runtime 12.8
2025-08-14T22:47:38.4427664Z   - NVCC architecture flags: -gencode;arch=compute_86,code=sm_86
2025-08-14T22:47:38.4428030Z   - CuDNN 90.8
2025-08-14T22:47:38.4432272Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=1fc683cf17c8c673044538d10266c00f92987be2, 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=2.9.0, 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, 
2025-08-14T22:47:38.4436832Z 
2025-08-14T22:47:38.8903429Z + cd test
2025-08-14T22:47:38.8903786Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-08-14T22:47:40.2689744Z ATen/Parallel:
2025-08-14T22:47:40.2690031Z 	at::get_num_threads() : 8
2025-08-14T22:47:40.2690309Z 	at::get_num_interop_threads() : 16
2025-08-14T22:47:40.2690601Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-14T22:47:40.2690872Z 	omp_get_max_threads() : 8
2025-08-14T22:47:40.2691393Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-14T22:47:40.2691947Z 	mkl_get_max_threads() : 8
2025-08-14T22:47:40.2692343Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-14T22:47:40.2692767Z std::thread::hardware_concurrency() : 16
2025-08-14T22:47:40.2693068Z Environment variables:
2025-08-14T22:47:40.2693308Z 	OMP_NUM_THREADS : [not set]
2025-08-14T22:47:40.2693567Z 	MKL_NUM_THREADS : [not set]
2025-08-14T22:47:40.2693830Z ATen parallel backend: OpenMP
2025-08-14T22:47:40.2694002Z 
2025-08-14T22:47:40.6170399Z + [[ dynamic_inductor_torchbench == *numpy_2* ]]
2025-08-14T22:47:40.6170873Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *aarch64* ]]
2025-08-14T22:47:40.6171265Z + [[ dynamic_inductor_torchbench == *backward* ]]
2025-08-14T22:47:40.6171603Z + [[ dynamic_inductor_torchbench == *xla* ]]
2025-08-14T22:47:40.6171931Z + [[ dynamic_inductor_torchbench == *executorch* ]]
2025-08-14T22:47:40.6172312Z + [[ dynamic_inductor_torchbench == \j\i\t\_\l\e\g\a\c\y ]]
2025-08-14T22:47:40.6172725Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *libtorch* ]]
2025-08-14T22:47:40.6173133Z + [[ dynamic_inductor_torchbench == distributed ]]
2025-08-14T22:47:40.6173527Z + [[ dynamic_inductor_torchbench == *operator_benchmark* ]]
2025-08-14T22:47:40.6173946Z + [[ dynamic_inductor_torchbench == *inductor_distributed* ]]
2025-08-14T22:47:40.6174349Z + [[ dynamic_inductor_torchbench == *inductor-halide* ]]
2025-08-14T22:47:40.6174745Z + [[ dynamic_inductor_torchbench == *inductor-triton-cpu* ]]
2025-08-14T22:47:40.6175183Z + [[ dynamic_inductor_torchbench == *inductor-micro-benchmark* ]]
2025-08-14T22:47:40.6175604Z + [[ dynamic_inductor_torchbench == *huggingface* ]]
2025-08-14T22:47:40.6175945Z + [[ dynamic_inductor_torchbench == *timm* ]]
2025-08-14T22:47:40.6176280Z + [[ dynamic_inductor_torchbench == cachebench ]]
2025-08-14T22:47:40.6176645Z + [[ dynamic_inductor_torchbench == verify_cachebench ]]
2025-08-14T22:47:40.6177006Z + [[ dynamic_inductor_torchbench == *torchbench* ]]
2025-08-14T22:47:40.6177337Z + install_torchaudio
2025-08-14T22:47:40.6177580Z + local commit
2025-08-14T22:47:40.6177813Z ++ get_pinned_commit audio
2025-08-14T22:47:40.6178470Z ++ cat .github/ci_commit_pins/audio.txt
2025-08-14T22:47:40.6210612Z + commit=bdb88e1d66f272cad72156c90ac8428ca61a601c
2025-08-14T22:47:40.6211590Z + pip_build_and_install git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c dist/audio
2025-08-14T22:47:40.6212760Z + local build_target=git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c
2025-08-14T22:47:40.6213305Z + local wheel_dir=dist/audio
2025-08-14T22:47:40.6213635Z + local found_whl=0
2025-08-14T22:47:40.6213878Z + for file in "${wheel_dir}"/*.whl
2025-08-14T22:47:40.6214288Z + [[ -f dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl ]]
2025-08-14T22:47:40.6214691Z + found_whl=1
2025-08-14T22:47:40.6214891Z + break
2025-08-14T22:47:40.6215062Z + '[' 1 == 0 ']'
2025-08-14T22:47:40.6215279Z + for file in "${wheel_dir}"/*.whl
2025-08-14T22:47:40.6215724Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:40.6216647Z + args=('dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl')
2025-08-14T22:47:40.6217040Z + local args
2025-08-14T22:47:40.6217396Z + [[ dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-08-14T22:47:40.6217830Z + for path in "${args[@]}"
2025-08-14T22:47:40.6218246Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl'
2025-08-14T22:47:40.6218859Z Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:40.6219555Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:40.9990739Z Processing ./dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:41.0077756Z Installing collected packages: torchaudio
2025-08-14T22:47:41.2927873Z Successfully installed torchaudio-2.8.0a0+bdb88e1
2025-08-14T22:47:41.3324853Z + install_torchvision
2025-08-14T22:47:41.3325163Z + local orig_preload
2025-08-14T22:47:41.3325382Z + local commit
2025-08-14T22:47:41.3328838Z ++ get_pinned_commit vision
2025-08-14T22:47:41.3329133Z ++ cat .github/ci_commit_pins/vision.txt
2025-08-14T22:47:41.3353397Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-14T22:47:41.3353799Z + orig_preload=
2025-08-14T22:47:41.3354087Z + '[' -n '' ']'
2025-08-14T22:47:41.3354422Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *cuda* ]]
2025-08-14T22:47:41.3354872Z + export FORCE_CUDA=1
2025-08-14T22:47:41.3355184Z + FORCE_CUDA=1
2025-08-14T22:47:41.3355428Z + export WITH_CUDA=1
2025-08-14T22:47:41.3355696Z + WITH_CUDA=1
2025-08-14T22:47:41.3356227Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision
2025-08-14T22:47:41.3357049Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-14T22:47:41.3357577Z + local wheel_dir=dist/vision
2025-08-14T22:47:41.3357835Z + local found_whl=0
2025-08-14T22:47:41.3358078Z + for file in "${wheel_dir}"/*.whl
2025-08-14T22:47:41.3358512Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]]
2025-08-14T22:47:41.3358926Z + found_whl=1
2025-08-14T22:47:41.3359119Z + break
2025-08-14T22:47:41.3359295Z + '[' 1 == 0 ']'
2025-08-14T22:47:41.3359518Z + for file in "${wheel_dir}"/*.whl
2025-08-14T22:47:41.3359974Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:41.3360598Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl')
2025-08-14T22:47:41.3361020Z + local args
2025-08-14T22:47:41.3361383Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-08-14T22:47:41.3361834Z + for path in "${args[@]}"
2025-08-14T22:47:41.3362275Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl'
2025-08-14T22:47:41.3362911Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:41.3363966Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:41.7126134Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:41.7222461Z Installing collected packages: torchvision
2025-08-14T22:47:42.2080111Z Successfully installed torchvision-0.22.0a0+966da7e
2025-08-14T22:47:42.2489592Z + '[' -n '' ']'
2025-08-14T22:47:42.2489818Z + id=1
2025-08-14T22:47:42.2490038Z + pip_install opencv-python==4.8.0.74
2025-08-14T22:47:42.2490416Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-14T22:47:42.2490879Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74
2025-08-14T22:47:42.7454364Z Collecting opencv-python==4.8.0.74
2025-08-14T22:47:42.7643772Z   Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)
2025-08-14T22:47:42.7738177Z 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)
2025-08-14T22:47:42.7815595Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB)
2025-08-14T22:47:44.2293874Z Installing collected packages: opencv-python
2025-08-14T22:47:44.2294265Z   Attempting uninstall: opencv-python
2025-08-14T22:47:44.2307676Z     Found existing installation: opencv-python 4.11.0.86
2025-08-14T22:47:44.2419155Z     Uninstalling opencv-python-4.11.0.86:
2025-08-14T22:47:44.4095397Z       Successfully uninstalled opencv-python-4.11.0.86
2025-08-14T22:47:45.3702242Z Successfully installed opencv-python-4.8.0.74
2025-08-14T22:47:45.4925042Z + [[ dynamic_inductor_torchbench == *inductor_torchbench_smoketest_perf* ]]
2025-08-14T22:47:45.4925627Z + [[ dynamic_inductor_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]]
2025-08-14T22:47:45.4926144Z + [[ dynamic_inductor_torchbench == *torchbench_gcp_smoketest* ]]
2025-08-14T22:47:45.4926566Z + [[ dynamic_inductor_torchbench != *cpu* ]]
2025-08-14T22:47:45.4926893Z + install_torchrec_and_fbgemm
2025-08-14T22:47:45.4927162Z + local torchrec_commit
2025-08-14T22:47:45.4930290Z ++ get_pinned_commit torchrec
2025-08-14T22:47:45.4930596Z ++ cat .github/ci_commit_pins/torchrec.txt
2025-08-14T22:47:45.4954003Z + torchrec_commit=6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2
2025-08-14T22:47:45.4954358Z + local fbgemm_commit
2025-08-14T22:47:45.4958612Z ++ get_pinned_commit fbgemm
2025-08-14T22:47:45.4958897Z ++ cat .github/ci_commit_pins/fbgemm.txt
2025-08-14T22:47:45.4980903Z + fbgemm_commit=de731af65b4f04696e85c729e3282450b51b95fd
2025-08-14T22:47:45.4981425Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]]
2025-08-14T22:47:45.4981784Z + pip_uninstall torchrec-nightly
2025-08-14T22:47:45.4982170Z + pip3 uninstall -y torchrec-nightly
2025-08-14T22:47:45.8895530Z WARNING: Skipping torchrec-nightly as it is not installed.
2025-08-14T22:47:45.9243823Z + pip_uninstall fbgemm-gpu-nightly
2025-08-14T22:47:45.9244235Z + pip3 uninstall -y fbgemm-gpu-nightly
2025-08-14T22:47:46.3112962Z WARNING: Skipping fbgemm-gpu-nightly as it is not installed.
2025-08-14T22:47:46.3453003Z + pip_install setuptools-git-versioning scikit-build pyre-extensions
2025-08-14T22:47:46.3453628Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-14T22:47:46.3454235Z + python3 -m pip install --progress-bar off setuptools-git-versioning scikit-build pyre-extensions
2025-08-14T22:47:46.7209060Z Requirement already satisfied: setuptools-git-versioning in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.1.0)
2025-08-14T22:47:46.7210824Z Requirement already satisfied: scikit-build in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.18.1)
2025-08-14T22:47:46.7213959Z Requirement already satisfied: pyre-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.0.32)
2025-08-14T22:47:46.7226360Z Requirement already satisfied: packaging in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (25.0)
2025-08-14T22:47:46.7229995Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (80.9.0)
2025-08-14T22:47:46.7236883Z Requirement already satisfied: tomli>=2.0.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (2.2.1)
2025-08-14T22:47:46.7283061Z Requirement already satisfied: distro in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (1.9.0)
2025-08-14T22:47:46.7291904Z 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)
2025-08-14T22:47:46.7300093Z Requirement already satisfied: typing-inspect in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (0.9.0)
2025-08-14T22:47:46.7303520Z Requirement already satisfied: typing-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (4.14.1)
2025-08-14T22:47:46.7389225Z 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)
2025-08-14T22:47:47.7987894Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]]
2025-08-14T22:47:47.7988724Z + pip_build_and_install git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 dist/torchrec
2025-08-14T22:47:47.7989572Z + local build_target=git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2
2025-08-14T22:47:47.7990165Z + local wheel_dir=dist/torchrec
2025-08-14T22:47:47.7990421Z + local found_whl=0
2025-08-14T22:47:47.7990654Z + for file in "${wheel_dir}"/*.whl
2025-08-14T22:47:47.7990996Z + [[ -f dist/torchrec/torchrec-0.3.2-py3-none-any.whl ]]
2025-08-14T22:47:47.7991328Z + found_whl=1
2025-08-14T22:47:47.7991521Z + break
2025-08-14T22:47:47.7991706Z + '[' 1 == 0 ']'
2025-08-14T22:47:47.7991950Z + for file in "${wheel_dir}"/*.whl
2025-08-14T22:47:47.7992315Z + pip_install_whl dist/torchrec/torchrec-0.3.2-py3-none-any.whl
2025-08-14T22:47:47.7992758Z + args=('dist/torchrec/torchrec-0.3.2-py3-none-any.whl')
2025-08-14T22:47:47.7993085Z + local args
2025-08-14T22:47:47.7993368Z + [[ dist/torchrec/torchrec-0.3.2-py3-none-any.whl == *\ * ]]
2025-08-14T22:47:47.7993730Z + for path in "${args[@]}"
2025-08-14T22:47:47.7994084Z + echo 'Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl'
2025-08-14T22:47:47.7994531Z Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl
2025-08-14T22:47:47.7995051Z + python3 -mpip install --no-index --no-deps dist/torchrec/torchrec-0.3.2-py3-none-any.whl
2025-08-14T22:47:48.1818833Z Processing ./dist/torchrec/torchrec-0.3.2-py3-none-any.whl
2025-08-14T22:47:48.1886310Z Installing collected packages: torchrec
2025-08-14T22:47:48.4871137Z Successfully installed torchrec-0.3.2
2025-08-14T22:47:48.5265164Z + pip_build_and_install git+https://github.com/pytorch/FBGEMM.git@de731af65b4f04696e85c729e3282450b51b95fd#subdirectory=fbgemm_gpu dist/fbgemm_gpu
2025-08-14T22:47:48.5266309Z + local build_target=git+https://github.com/pytorch/FBGEMM.git@de731af65b4f04696e85c729e3282450b51b95fd#subdirectory=fbgemm_gpu
2025-08-14T22:47:48.5266945Z + local wheel_dir=dist/fbgemm_gpu
2025-08-14T22:47:48.5267218Z + local found_whl=0
2025-08-14T22:47:48.5267458Z + for file in "${wheel_dir}"/*.whl
2025-08-14T22:47:48.5267884Z + [[ -f dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl ]]
2025-08-14T22:47:48.5268390Z + found_whl=1
2025-08-14T22:47:48.5268607Z + break
2025-08-14T22:47:48.5268800Z + '[' 1 == 0 ']'
2025-08-14T22:47:48.5269026Z + for file in "${wheel_dir}"/*.whl
2025-08-14T22:47:48.5269477Z + pip_install_whl dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:48.5270083Z + args=('dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl')
2025-08-14T22:47:48.5270503Z + local args
2025-08-14T22:47:48.5270879Z + [[ dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-08-14T22:47:48.5271741Z + for path in "${args[@]}"
2025-08-14T22:47:48.5272190Z + echo 'Installing dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl'
2025-08-14T22:47:48.5272816Z Installing dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:48.5273539Z + python3 -mpip install --no-index --no-deps dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:48.9055428Z Processing ./dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:48.9975352Z Installing collected packages: fbgemm-gpu
2025-08-14T22:47:50.8584955Z Successfully installed fbgemm-gpu-0.4.1.post421
2025-08-14T22:47:50.8971506Z + PYTHONPATH=/torchbench
2025-08-14T22:47:50.8971805Z + test_dynamo_benchmark torchbench 1
2025-08-14T22:47:50.8976423Z ++ pwd
2025-08-14T22:47:50.8979748Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-08-14T22:47:50.8980724Z + local suite=torchbench
2025-08-14T22:47:50.8980986Z + shift
2025-08-14T22:47:50.8981201Z + local shard_id=1
2025-08-14T22:47:50.8981425Z + shift
2025-08-14T22:47:50.8981687Z + [[ dynamic_inductor_torchbench == *perf_compare* ]]
2025-08-14T22:47:50.8982051Z + [[ dynamic_inductor_torchbench == *perf* ]]
2025-08-14T22:47:50.8982389Z + [[ dynamic_inductor_torchbench == *cpu* ]]
2025-08-14T22:47:50.8982741Z + [[ dynamic_inductor_torchbench == *aot_inductor* ]]
2025-08-14T22:47:50.8983150Z + [[ dynamic_inductor_torchbench == *max_autotune_inductor* ]]
2025-08-14T22:47:50.8983649Z + test_single_dynamo_benchmark inference torchbench 1 --inference --bfloat16
2025-08-14T22:47:50.8984599Z ++ pwd
2025-08-14T22:47:50.8987680Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-08-14T22:47:50.8988200Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-08-14T22:47:50.9025797Z + local name=inference
2025-08-14T22:47:50.9035652Z + shift
2025-08-14T22:47:50.9035983Z + local suite=torchbench
2025-08-14T22:47:50.9036281Z + shift
2025-08-14T22:47:50.9036467Z + local shard_id=1
2025-08-14T22:47:50.9036677Z + shift
2025-08-14T22:47:50.9036863Z + partition_flags=()
2025-08-14T22:47:50.9037096Z + local partition_flags
2025-08-14T22:47:50.9037325Z + [[ -n 2 ]]
2025-08-14T22:47:50.9037510Z + [[ -n 1 ]]
2025-08-14T22:47:50.9037881Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id")
2025-08-14T22:47:50.9038394Z + [[ dynamic_inductor_torchbench == *perf_compare* ]]
2025-08-14T22:47:50.9038743Z + [[ dynamic_inductor_torchbench == *perf* ]]
2025-08-14T22:47:50.9039073Z + [[ dynamic_inductor_torchbench == *_avx2* ]]
2025-08-14T22:47:50.9039399Z + [[ dynamic_inductor_torchbench == *_avx512* ]]
2025-08-14T22:47:50.9040713Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --dynamic-shapes --dynamic-batch-only --device cuda --inference --bfloat16 --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv
2025-08-14T22:47:57.5715163Z 
2025-08-14T22:47:58.1470172Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:47:58.1470507Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:47:58.1470810Z cuda eval  llama_v2_7b_16h                    
2025-08-14T22:47:58.1476955Z Traceback (most recent call last):
2025-08-14T22:47:58.1477538Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T22:47:58.1478010Z     ) = runner.load_model(
2025-08-14T22:47:58.1478477Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 332, in load_model
2025-08-14T22:47:58.1478978Z     benchmark = benchmark_cls(
2025-08-14T22:47:58.1479371Z   File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__
2025-08-14T22:47:58.1479800Z     obj = type.__call__(cls, *args, **kwargs)
2025-08-14T22:47:58.1480290Z   File "/torchbench/torchbenchmark/models/llama_v2_7b_16h/__init__.py", line 16, in __init__
2025-08-14T22:47:58.1480775Z     super().__init__(
2025-08-14T22:47:58.1481550Z   File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__
2025-08-14T22:47:58.1482088Z     super().__init__(
2025-08-14T22:47:58.1482444Z   File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__
2025-08-14T22:47:58.1482864Z     self._skip_by_device_name()
2025-08-14T22:47:58.1483350Z   File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name
2025-08-14T22:47:58.1483813Z     raise NotImplementedError(
2025-08-14T22:47:58.1484343Z NotImplementedError: The current device NVIDIA A10G is skipped by its `llama_v2_7b_16h/metadata.yaml`.
2025-08-14T22:47:58.1484795Z 
2025-08-14T22:47:58.1484880Z model_fail_to_load
2025-08-14T22:48:02.4942812Z 
2025-08-14T22:48:03.0306734Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:48:03.0307161Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:48:03.0307533Z cuda eval  llava                              
2025-08-14T22:48:03.0314365Z Traceback (most recent call last):
2025-08-14T22:48:03.0315057Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T22:48:03.0315565Z     ) = runner.load_model(
2025-08-14T22:48:03.0316031Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 332, in load_model
2025-08-14T22:48:03.0316528Z     benchmark = benchmark_cls(
2025-08-14T22:48:03.0316924Z   File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__
2025-08-14T22:48:03.0317352Z     obj = type.__call__(cls, *args, **kwargs)
2025-08-14T22:48:03.0317807Z   File "/torchbench/torchbenchmark/models/llava/__init__.py", line 12, in __init__
2025-08-14T22:48:03.0318232Z     super().__init__(
2025-08-14T22:48:03.0318713Z   File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__
2025-08-14T22:48:03.0319240Z     super().__init__(
2025-08-14T22:48:03.0319587Z   File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__
2025-08-14T22:48:03.0320003Z     self._skip_by_device_name()
2025-08-14T22:48:03.0320436Z   File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name
2025-08-14T22:48:03.0320901Z     raise NotImplementedError(
2025-08-14T22:48:03.0321367Z NotImplementedError: The current device NVIDIA A10G is skipped by its `llava/metadata.yaml`.
2025-08-14T22:48:03.0321769Z 
2025-08-14T22:48:03.0321855Z model_fail_to_load
2025-08-14T22:48:07.1952826Z 
2025-08-14T22:48:08.4796189Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:48:08.4796531Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:48:08.4803254Z cuda eval  maml                               
2025-08-14T22:48:08.5048257Z Compilation time (from dynamo_timed): 0
2025-08-14T22:48:08.5048581Z pass_due_to_skip
2025-08-14T22:48:08.5057782Z TIMING: total_wall_time:0
2025-08-14T22:48:08.5058118Z STATS: call_* op count: 0
2025-08-14T22:48:08.5058597Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-14T22:48:12.9904628Z 
2025-08-14T22:48:13.6565549Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:48:13.6565898Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:48:13.6573667Z cuda eval  maml_omniglot                      
2025-08-14T22:48:19.5952732Z Compilation time (from dynamo_timed): 4.665316785
2025-08-14T22:48:19.5953086Z pass
2025-08-14T22:48:19.5954470Z TIMING: _recursive_pre_grad_passes:0.0041 pad_mm_benchmark:0.07087 _recursive_joint_graph_passes:0.38777 _recursive_post_grad_passes:0.03241 async_compile.precompile:0.84161 async_compile.wait:0.22205 code_gen:1.94475 inductor_compile:2.18536 backend_compile:4.26371 gc:0.00011 entire_frame_compile:4.66532 cudagraphify.get_container:0.00267 CUDAGraphNode.record:0.00188 total_wall_time:4.66532
2025-08-14T22:48:19.5956322Z STATS: call_* op count: 14 | FakeTensorMode.__torch_dispatch__:1369 | FakeTensor.__torch_dispatch__:513 | ProxyTorchDispatchMode.__torch_dispatch__:331
2025-08-14T22:48:19.5957094Z Dynamo produced 1 graphs covering 14 ops with 0 graph breaks (0 unique)
2025-08-14T22:48:24.9360118Z 
2025-08-14T22:48:25.2475560Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:48:25.2476341Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:48:25.2478086Z cuda eval  microbench_unbacked_tolist_sum     
2025-08-14T22:48:31.0152877Z W0814 22:48:31.014000 573 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting:
2025-08-14T22:48:31.0153856Z W0814 22:48:31.014000 573 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-14T22:48:31.0154622Z W0814 22:48:31.014000 573 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or:
2025-08-14T22:48:31.0155395Z W0814 22:48:31.014000 573 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-14T22:48:31.0156287Z W0814 22:48:31.014000 573 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph.
2025-08-14T22:48:31.0157470Z W0814 22:48:31.014000 573 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T22:48:31.0158177Z W0814 22:48:31.014000 573 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at:
2025-08-14T22:48:31.0159229Z W0814 22:48:31.014000 573 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:48:31.0160243Z W0814 22:48:31.014000 573 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     return mod(*inputs)
2025-08-14T22:48:31.0161295Z W0814 22:48:31.014000 573 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/torchbench/torchbenchmark/models/microbench_unbacked_tolist_sum/__init__.py", line 18, in forward
2025-08-14T22:48:31.0162355Z W0814 22:48:31.014000 573 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     sum += tv[i].item()
2025-08-14T22:48:31.0163010Z W0814 22:48:31.014000 573 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T22:48:31.0163587Z W0814 22:48:31.014000 573 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T22:48:34.4585087Z Compilation time (from dynamo_timed): 7.968561153
2025-08-14T22:48:34.4585434Z pass
2025-08-14T22:48:34.4585750Z TIMING: gc:0.00222 entire_frame_compile:7.96856 total_wall_time:7.96856
2025-08-14T22:48:34.4586357Z STATS: call_* op count: 0 | FakeTensor.__torch_dispatch__:3004 | FakeTensorMode.__torch_dispatch__:11008
2025-08-14T22:48:34.4586963Z Dynamo produced 0 graphs covering 0 ops with 1 graph breaks (1 unique)
2025-08-14T22:48:39.4587752Z 
2025-08-14T22:48:39.7033697Z 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
2025-08-14T22:48:39.7179693Z 
2025-08-14T22:48:39.7179860Z 
2025-08-14T22:48:39.7619622Z   0% 0.00/16.9M [00:00<?, ?B/s]
2025-08-14T22:48:39.7619950Z 100% 16.9M/16.9M [00:00<00:00, 406MB/s]
2025-08-14T22:48:40.5209497Z 
2025-08-14T22:48:40.5210008Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:48:40.5276287Z cuda eval  mnasnet1_0                         
2025-08-14T22:48:56.7802626Z Compilation time (from dynamo_timed): 11.796122856
2025-08-14T22:48:56.7802978Z pass
2025-08-14T22:48:56.7806244Z TIMING: _recursive_pre_grad_passes:0.00821 pad_mm_benchmark:0.06543 _recursive_joint_graph_passes:0.28215 _recursive_post_grad_passes:0.19736 async_compile.wait:0.02568 code_gen:1.57266 inductor_compile:4.01674 backend_compile:8.07977 gc:0.00183 entire_frame_compile:11.79612 cudagraphify.get_container:0.00208 CUDAGraphNode.record:0.0053 total_wall_time:11.79612
2025-08-14T22:48:56.7808034Z STATS: call_* op count: 152 | FakeTensorMode.__torch_dispatch__:10920 | ProxyTorchDispatchMode.__torch_dispatch__:4024 | FakeTensor.__torch_dispatch__:7636
2025-08-14T22:48:56.7808978Z Dynamo produced 1 graphs covering 152 ops with 0 graph breaks (0 unique)
2025-08-14T22:49:02.3686974Z 
2025-08-14T22:49:03.3145386Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:49:03.3146194Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:49:03.3215330Z cuda eval  mobilenet_v2                       
2025-08-14T22:49:18.5843109Z Compilation time (from dynamo_timed): 12.098853624
2025-08-14T22:49:18.5843557Z pass
2025-08-14T22:49:18.5847560Z TIMING: _recursive_pre_grad_passes:0.00826 pad_mm_benchmark:0.00099 _recursive_joint_graph_passes:0.23345 _recursive_post_grad_passes:0.20195 async_compile.wait:0.02477 code_gen:1.51002 inductor_compile:3.99777 backend_compile:8.2439 gc:0.00167 entire_frame_compile:12.09885 cudagraphify.get_container:0.00213 CUDAGraphNode.record:0.00527 total_wall_time:12.09885
2025-08-14T22:49:18.5849527Z STATS: call_* op count: 153 | FakeTensorMode.__torch_dispatch__:11330 | FakeTensor.__torch_dispatch__:7665 | ProxyTorchDispatchMode.__torch_dispatch__:4488
2025-08-14T22:49:18.5850415Z Dynamo produced 1 graphs covering 153 ops with 0 graph breaks (0 unique)
2025-08-14T22:49:24.2230779Z 
2025-08-14T22:49:24.4020905Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:49:24.4021587Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:49:24.4022210Z cuda eval  mobilenet_v2_quantized_qat         
2025-08-14T22:49:24.4025991Z Traceback (most recent call last):
2025-08-14T22:49:24.4026476Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T22:49:24.4026941Z     ) = runner.load_model(
2025-08-14T22:49:24.4027403Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 332, in load_model
2025-08-14T22:49:24.4027898Z     benchmark = benchmark_cls(
2025-08-14T22:49:24.4028289Z   File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__
2025-08-14T22:49:24.4028781Z     obj = type.__call__(cls, *args, **kwargs)
2025-08-14T22:49:24.4029322Z   File "/torchbench/torchbenchmark/models/mobilenet_v2_quantized_qat/__init__.py", line 23, in __init__
2025-08-14T22:49:24.4029951Z     raise NotImplementedError("The eval test only supports CPU.")
2025-08-14T22:49:24.4030408Z NotImplementedError: The eval test only supports CPU.
2025-08-14T22:49:24.4030666Z 
2025-08-14T22:49:24.4030760Z model_fail_to_load
2025-08-14T22:49:28.5533457Z 
2025-08-14T22:49:29.5849914Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:49:29.5850252Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:49:29.5921276Z cuda eval  mobilenet_v3_large                 
2025-08-14T22:49:47.7624987Z Compilation time (from dynamo_timed): 14.46829326
2025-08-14T22:49:47.7625356Z pass
2025-08-14T22:49:47.7628873Z TIMING: _recursive_pre_grad_passes:0.00855 pad_mm_benchmark:0.10388 _recursive_joint_graph_passes:0.33732 _recursive_post_grad_passes:0.22303 async_compile.wait:0.04801 code_gen:2.42783 inductor_compile:5.41367 backend_compile:9.96449 gc:0.00079 entire_frame_compile:14.46829 cudagraphify.get_container:0.00255 CUDAGraphNode.record:0.00657 total_wall_time:14.46829
2025-08-14T22:49:47.7630636Z STATS: call_* op count: 187 | FakeTensorMode.__torch_dispatch__:11843 | FakeTensor.__torch_dispatch__:8121 | ProxyTorchDispatchMode.__torch_dispatch__:4587
2025-08-14T22:49:47.7631469Z Dynamo produced 1 graphs covering 187 ops with 0 graph breaks (0 unique)
2025-08-14T22:49:53.5732453Z 
2025-08-14T22:49:55.4542732Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:49:55.4543264Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:49:55.4678194Z cuda eval  moco                               
2025-08-14T22:49:58.3679070Z [rank0]:W0814 22:49:58.367000 2327 site-packages/torch/_logging/_internal.py:1199] [0/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T22:50:09.2092191Z [rank0]:W0814 22:50:09.208000 2327 site-packages/torch/_dynamo/backends/distributed.py:106] [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.
2025-08-14T22:50:09.2354840Z [rank0]:W0814 22:50:09.234000 2327 site-packages/torch/_dynamo/backends/distributed.py:123] [4/0_1] DDPOptimizer extended these buckets to ensure per-subgraph output nodes:
2025-08-14T22:50:09.2356322Z [rank0]:W0814 22:50:09.234000 2327 site-packages/torch/_dynamo/backends/distributed.py:123] [4/0_1] ┌─────────┬─────────────┬────────────────────────┐
2025-08-14T22:50:09.2357397Z [rank0]:W0814 22:50:09.234000 2327 site-packages/torch/_dynamo/backends/distributed.py:123] [4/0_1] │   Index │   Extra Ops │   Extra Param Size (b) │
2025-08-14T22:50:09.2358480Z [rank0]:W0814 22:50:09.234000 2327 site-packages/torch/_dynamo/backends/distributed.py:123] [4/0_1] ├─────────┼─────────────┼────────────────────────┤
2025-08-14T22:50:09.2359551Z [rank0]:W0814 22:50:09.234000 2327 site-packages/torch/_dynamo/backends/distributed.py:123] [4/0_1] │       0 │         470 │               44910720 │
2025-08-14T22:50:09.2360813Z [rank0]:W0814 22:50:09.234000 2327 site-packages/torch/_dynamo/backends/distributed.py:123] [4/0_1] └─────────┴─────────────┴────────────────────────┘
2025-08-14T22:50:31.0653667Z [rank0]:W0814 22:50:31.064000 2327 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] Graph break from `Tensor.item()`, consider setting:
2025-08-14T22:50:31.0656095Z [rank0]:W0814 22:50:31.064000 2327 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-14T22:50:31.0656953Z [rank0]:W0814 22:50:31.064000 2327 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] or:
2025-08-14T22:50:31.0657810Z [rank0]:W0814 22:50:31.064000 2327 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-14T22:50:31.0658919Z [rank0]:W0814 22:50:31.064000 2327 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] to include these operations in the captured graph.
2025-08-14T22:50:31.0660070Z [rank0]:W0814 22:50:31.064000 2327 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] 
2025-08-14T22:50:31.0660832Z [rank0]:W0814 22:50:31.064000 2327 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] Graph break: from user code at:
2025-08-14T22:50:31.0661977Z [rank0]:W0814 22:50:31.064000 2327 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0]   File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 167, in torch_dynamo_resume_in_forward_at_142
2025-08-14T22:50:31.0663108Z [rank0]:W0814 22:50:31.064000 2327 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0]     self._dequeue_and_enqueue(k)
2025-08-14T22:50:31.0664247Z [rank0]:W0814 22:50:31.064000 2327 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
2025-08-14T22:50:31.0665367Z [rank0]:W0814 22:50:31.064000 2327 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0]     return func(*args, **kwargs)
2025-08-14T22:50:31.0666445Z [rank0]:W0814 22:50:31.064000 2327 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0]   File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 68, in _dequeue_and_enqueue
2025-08-14T22:50:31.0667554Z [rank0]:W0814 22:50:31.064000 2327 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0]     ptr = int(self.queue_ptr)
2025-08-14T22:50:31.0668261Z [rank0]:W0814 22:50:31.064000 2327 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] 
2025-08-14T22:50:31.0668943Z [rank0]:W0814 22:50:31.064000 2327 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] 
2025-08-14T22:50:47.6432431Z Compilation time (from dynamo_timed): 48.942419417
2025-08-14T22:50:47.6432936Z pass
2025-08-14T22:50:47.6455502Z TIMING: gc:0.00715 entire_frame_compile:48.94242 _recursive_pre_grad_passes:0.10812 _recursive_joint_graph_passes:0.42773 _recursive_post_grad_passes:0.56458 async_compile.wait:0.5854 code_gen:7.21141 inductor_compile:14.18583 pad_mm_benchmark:0.0676 backend_compile:25.49591 cudagraphify.get_container:0.00162 CUDAGraphNode.record:0.02032 total_wall_time:48.94242
2025-08-14T22:50:47.6457371Z STATS: call_* op count: 877 | FakeTensorMode.__torch_dispatch__:32007 | FakeTensor.__torch_dispatch__:22821 | ProxyTorchDispatchMode.__torch_dispatch__:11916
2025-08-14T22:50:47.6458165Z Dynamo produced 7 graphs covering 877 ops with 7 graph breaks (4 unique)
2025-08-14T22:50:49.5130572Z [rank0]:[W814 22:50:49.508357564 ProcessGroupNCCL.cpp:1519] 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())
2025-08-14T22:50:55.0567333Z 
2025-08-14T22:50:55.5877819Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:50:55.5878155Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:50:55.5878446Z cuda eval  moondream                          
2025-08-14T22:50:55.5884731Z Traceback (most recent call last):
2025-08-14T22:50:55.5885664Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T22:50:55.5886122Z     ) = runner.load_model(
2025-08-14T22:50:55.5886573Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 332, in load_model
2025-08-14T22:50:55.5887069Z     benchmark = benchmark_cls(
2025-08-14T22:50:55.5887452Z   File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__
2025-08-14T22:50:55.5887861Z     obj = type.__call__(cls, *args, **kwargs)
2025-08-14T22:50:55.5888329Z   File "/torchbench/torchbenchmark/models/moondream/__init__.py", line 12, in __init__
2025-08-14T22:50:55.5888775Z     super().__init__(
2025-08-14T22:50:55.5889245Z   File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__
2025-08-14T22:50:55.5889770Z     super().__init__(
2025-08-14T22:50:55.5890118Z   File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__
2025-08-14T22:50:55.5890524Z     self._skip_by_device_name()
2025-08-14T22:50:55.5890956Z   File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name
2025-08-14T22:50:55.5891415Z     raise NotImplementedError(
2025-08-14T22:50:55.5891897Z NotImplementedError: The current device NVIDIA A10G is skipped by its `moondream/metadata.yaml`.
2025-08-14T22:50:55.5892306Z 
2025-08-14T22:50:55.5892387Z model_fail_to_load
2025-08-14T22:50:59.7892300Z 
2025-08-14T22:51:01.6903082Z loading model: 0it [00:00, ?it/s]number of parameters: 123.69M
2025-08-14T22:51:01.9339841Z num decayed parameter tensors: 50, with 124,354,560 parameters
2025-08-14T22:51:01.9340329Z num non-decayed parameter tensors: 98, with 121,344 parameters
2025-08-14T22:51:01.9342795Z using fused AdamW: True
2025-08-14T22:51:02.2779346Z 
2025-08-14T22:51:02.2779940Z loading model: 0it [00:02, ?it/s]
2025-08-14T22:51:02.2824798Z cuda eval  nanogpt                            
2025-08-14T22:51:27.7737069Z Compilation time (from dynamo_timed): 23.918154609
2025-08-14T22:51:27.7737463Z pass
2025-08-14T22:51:27.7746827Z TIMING: _recursive_pre_grad_passes:0.00898 pad_mm_benchmark:0.02494 _recursive_joint_graph_passes:0.54285 _recursive_post_grad_passes:2.06367 async_compile.wait:0.12985 code_gen:1.80904 inductor_compile:7.2744 backend_compile:17.0161 gc:0.00024 entire_frame_compile:23.91815 cudagraphify.get_container:0.0023 CUDAGraphNode.record:0.00933 total_wall_time:23.91815
2025-08-14T22:51:27.7748802Z STATS: call_* op count: 393 | FakeTensorMode.__torch_dispatch__:12763 | attempt fast:44 | fast is_contiguous:44 | FakeTensor.__torch_dispatch__:5409 | ProxyTorchDispatchMode.__torch_dispatch__:4663
2025-08-14T22:51:27.7749707Z Dynamo produced 1 graphs covering 393 ops with 0 graph breaks (0 unique)
2025-08-14T22:51:34.2006757Z 
2025-08-14T22:51:36.6903847Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:51:36.6904192Z loading model: 0it [00:02, ?it/s]
2025-08-14T22:51:36.6908608Z cuda eval  nvidia_deeprecommender             
2025-08-14T22:51:40.8897226Z Compilation time (from dynamo_timed): 2.885975266
2025-08-14T22:51:40.8897729Z pass
2025-08-14T22:51:40.8925321Z TIMING: _recursive_pre_grad_passes:0.00364 pad_mm_benchmark:0.47154 _recursive_joint_graph_passes:0.79352 _recursive_post_grad_passes:0.09112 async_compile.precompile:0.37339 async_compile.wait:0.00017 code_gen:0.52669 inductor_compile:0.77761 backend_compile:2.60233 gc:0.00035 entire_frame_compile:2.88598 cudagraphify.get_container:0.00643 CUDAGraphNode.record:0.0017 total_wall_time:2.88598
2025-08-14T22:51:40.8928650Z STATS: call_* op count: 13 | FakeTensorMode.__torch_dispatch__:1217 | ProxyTorchDispatchMode.__torch_dispatch__:356 | FakeTensor.__torch_dispatch__:525
2025-08-14T22:51:40.8930095Z Dynamo produced 1 graphs covering 13 ops with 0 graph breaks (0 unique)
2025-08-14T22:51:46.5858207Z 
2025-08-14T22:51:47.6187980Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:51:47.6188721Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:51:47.6208422Z cuda eval  opacus_cifar10                     
2025-08-14T22:51:55.9582178Z Compilation time (from dynamo_timed): 6.950004293
2025-08-14T22:51:55.9582535Z pass
2025-08-14T22:51:55.9583802Z TIMING: _recursive_pre_grad_passes:0.00507 pad_mm_benchmark:0.07011 _recursive_joint_graph_passes:0.46253 _recursive_post_grad_passes:0.07786 async_compile.wait:0.07179 code_gen:1.90408 inductor_compile:2.93808 backend_compile:5.16861 gc:0.00031 entire_frame_compile:6.95 cudagraphify.get_container:0.00221 CUDAGraphNode.record:0.00373 total_wall_time:6.95
2025-08-14T22:51:55.9585487Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:3784 | FakeTensor.__torch_dispatch__:2630 | ProxyTorchDispatchMode.__torch_dispatch__:1401
2025-08-14T22:51:55.9586259Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique)
2025-08-14T22:52:01.5369967Z 
2025-08-14T22:52:02.2978263Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:52:02.2978606Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:52:02.3048385Z cuda eval  phlippe_densenet                   
2025-08-14T22:52:18.3444953Z Compilation time (from dynamo_timed): 14.586211521
2025-08-14T22:52:18.3445683Z pass
2025-08-14T22:52:18.3448231Z TIMING: _recursive_pre_grad_passes:0.00883 pad_mm_benchmark:0.0639 _recursive_joint_graph_passes:0.48045 _recursive_post_grad_passes:0.21441 async_compile.wait:0.03715 code_gen:3.64158 inductor_compile:6.10941 backend_compile:10.43597 gc:0.00194 entire_frame_compile:14.58621 cudagraphify.get_container:0.00255 CUDAGraphNode.record:0.00701 total_wall_time:14.58621
2025-08-14T22:52:18.3451701Z STATS: call_* op count: 186 | FakeTensorMode.__torch_dispatch__:11810 | FakeTensor.__torch_dispatch__:7975 | ProxyTorchDispatchMode.__torch_dispatch__:4308
2025-08-14T22:52:18.3453081Z Dynamo produced 1 graphs covering 186 ops with 0 graph breaks (0 unique)
2025-08-14T22:52:24.0869057Z 
2025-08-14T22:52:24.7022065Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:52:24.7022403Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:52:24.7051213Z cuda eval  phlippe_resnet                     
2025-08-14T22:52:31.6792517Z Compilation time (from dynamo_timed): 5.684005284
2025-08-14T22:52:31.6792874Z pass
2025-08-14T22:52:31.6794154Z TIMING: _recursive_pre_grad_passes:0.00567 pad_mm_benchmark:0.06802 _recursive_joint_graph_passes:0.25106 _recursive_post_grad_passes:0.08959 async_compile.wait:0.34837 code_gen:1.18164 inductor_compile:2.07761 backend_compile:4.26159 gc:0.00014 entire_frame_compile:5.68401 cudagraphify.get_container:0.00283 CUDAGraphNode.record:0.00345 total_wall_time:5.68401
2025-08-14T22:52:31.6795914Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:4416 | FakeTensor.__torch_dispatch__:2953 | ProxyTorchDispatchMode.__torch_dispatch__:1636
2025-08-14T22:52:31.6796687Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique)
2025-08-14T22:52:37.0358104Z 
2025-08-14T22:52:37.4039762Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:52:37.4040659Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:52:37.4043270Z cuda eval  pyhpc_equation_of_state            
2025-08-14T22:52:43.1159876Z Compilation time (from dynamo_timed): 4.583970328
2025-08-14T22:52:43.1160263Z pass
2025-08-14T22:52:43.1162054Z TIMING: _recursive_pre_grad_passes:0.00748 _recursive_joint_graph_passes:0.32949 _recursive_post_grad_passes:0.09924 async_compile.wait:0.31491 code_gen:1.56872 inductor_compile:2.35408 backend_compile:4.18287 gc:0.00075 entire_frame_compile:4.58397 cudagraphify.get_container:0.00247 CUDAGraphNode.record:0.00088 total_wall_time:4.58397
2025-08-14T22:52:43.1163732Z STATS: call_* op count: 366 | FakeTensorMode.__torch_dispatch__:4901 | ProxyTorchDispatchMode.__torch_dispatch__:1889 | FakeTensor.__torch_dispatch__:3775
2025-08-14T22:52:43.1164548Z Dynamo produced 1 graphs covering 366 ops with 0 graph breaks (0 unique)
2025-08-14T22:52:48.4237591Z 
2025-08-14T22:52:48.7570699Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:52:48.7571107Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:52:48.7574662Z cuda eval  pyhpc_isoneutral_mixing            
2025-08-14T22:53:00.3550836Z skipping cudagraphs due to mutated inputs (7 instances). Found from : 
2025-08-14T22:53:00.3552019Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:53:00.3552529Z     return mod(*inputs)
2025-08-14T22:53:00.3553002Z   File "/torchbench/torchbenchmark/models/pyhpc_isoneutral_mixing/__init__.py", line 100, in forward
2025-08-14T22:53:00.3553581Z     return isoneutral_pytorch.isoneutral_diffusion_pre(
2025-08-14T22:53:00.3554267Z   File "/torchbench/torchbenchmark/models/pyhpc_isoneutral_mixing/isoneutral_pytorch.py", line 164, in isoneutral_diffusion_pre
2025-08-14T22:53:00.3554967Z     Ai_ez[1:-2, 2:-2, ki:, ip, kr] = taper * sxe * maskU[1:-2, 2:-2, ki:]
2025-08-14T22:53:00.3555227Z 
2025-08-14T22:53:00.3837172Z Compilation time (from dynamo_timed): 10.517814867
2025-08-14T22:53:00.3837541Z pass
2025-08-14T22:53:00.3838782Z TIMING: _recursive_pre_grad_passes:0.01187 _recursive_joint_graph_passes:0.2653 _recursive_post_grad_passes:1.49842 async_compile.wait:0.13403 code_gen:0.971 inductor_compile:4.82683 backend_compile:9.32391 gc:0.00083 entire_frame_compile:10.51781 cudagraphify.get_container:0.00222 total_wall_time:10.51781
2025-08-14T22:53:00.3840358Z STATS: call_* op count: 744 | FakeTensorMode.__torch_dispatch__:20927 | FakeTensor.__torch_dispatch__:8233 | ProxyTorchDispatchMode.__torch_dispatch__:6191
2025-08-14T22:53:00.3851918Z Dynamo produced 1 graphs covering 744 ops with 0 graph breaks (0 unique)
2025-08-14T22:53:06.0222896Z 
2025-08-14T22:53:06.7879972Z loading model: 0it [00:00, ?it/s]WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead
2025-08-14T22:53:06.9116952Z 
2025-08-14T22:53:06.9117502Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:53:06.9118085Z WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead
2025-08-14T22:53:06.9118652Z cuda eval  pyhpc_turbulent_kinetic_energy     
2025-08-14T22:53:06.9565355Z WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead
2025-08-14T22:53:26.6988696Z Compilation time (from dynamo_timed): 18.569539814
2025-08-14T22:53:26.6989546Z pass
2025-08-14T22:53:26.7049949Z TIMING: _recursive_pre_grad_passes:0.0146 _recursive_joint_graph_passes:0.24516 _recursive_post_grad_passes:1.26845 async_compile.wait:0.34213 code_gen:7.97088 inductor_compile:12.43902 backend_compile:17.1672 gc:0.00143 entire_frame_compile:18.56954 cudagraphify.get_container:0.00356 CUDAGraphNode.record:0.00249 total_wall_time:18.56954
2025-08-14T22:53:26.7051651Z STATS: call_* op count: 996 | FakeTensorMode.__torch_dispatch__:21507 | FakeTensor.__torch_dispatch__:7844 | ProxyTorchDispatchMode.__torch_dispatch__:6254
2025-08-14T22:53:26.7052450Z Dynamo produced 1 graphs covering 996 ops with 0 graph breaks (0 unique)
2025-08-14T22:53:32.5205846Z 
2025-08-14T22:53:33.3199530Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:53:33.3199884Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:53:33.3212307Z cuda eval  pytorch_CycleGAN_and_pix2pix       
2025-08-14T22:53:44.2117866Z Compilation time (from dynamo_timed): 7.150865781
2025-08-14T22:53:44.2118706Z pass
2025-08-14T22:53:44.2126380Z TIMING: _recursive_pre_grad_passes:0.00512 _recursive_joint_graph_passes:0.37145 _recursive_post_grad_passes:0.10006 async_compile.wait:0.38413 code_gen:2.42798 inductor_compile:3.7234 backend_compile:5.90812 gc:0.00069 entire_frame_compile:7.15087 cudagraphify.get_container:0.00207 CachingAutotuner.benchmark_all_configs:0.35762 CUDAGraphNode.record:0.00408 total_wall_time:7.15087
2025-08-14T22:53:44.2128504Z STATS: call_* op count: 91 | FakeTensorMode.__torch_dispatch__:4917 | FakeTensor.__torch_dispatch__:3095 | ProxyTorchDispatchMode.__torch_dispatch__:2004
2025-08-14T22:53:44.2129283Z Dynamo produced 1 graphs covering 91 ops with 0 graph breaks (0 unique)
2025-08-14T22:53:49.8671145Z 
2025-08-14T22:53:51.0033337Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:53:51.0033773Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:53:51.0058181Z cuda eval  pytorch_stargan                    
2025-08-14T22:54:07.8070523Z Compilation time (from dynamo_timed): 7.377939033
2025-08-14T22:54:07.8070895Z pass
2025-08-14T22:54:07.8084807Z TIMING: _recursive_pre_grad_passes:0.00569 _recursive_joint_graph_passes:0.43219 _recursive_post_grad_passes:0.09368 async_compile.wait:0.26553 code_gen:2.25699 inductor_compile:3.4515 backend_compile:6.0595 gc:0.00039 entire_frame_compile:7.37794 cudagraphify.get_container:0.00434 CUDAGraphNode.record:0.00329 total_wall_time:7.37794
2025-08-14T22:54:07.8086445Z STATS: call_* op count: 56 | FakeTensorMode.__torch_dispatch__:6860 | FakeTensor.__torch_dispatch__:3226 | ProxyTorchDispatchMode.__torch_dispatch__:2542
2025-08-14T22:54:07.8087207Z Dynamo produced 1 graphs covering 56 ops with 0 graph breaks (0 unique)
2025-08-14T22:54:13.2736611Z 
2025-08-14T22:54:14.0821050Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:54:14.0821691Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:54:14.0845387Z cuda eval  pytorch_unet                       
2025-08-14T22:54:33.5528496Z Compilation time (from dynamo_timed): 8.817507528
2025-08-14T22:54:33.5528999Z pass
2025-08-14T22:54:33.5560028Z TIMING: _recursive_pre_grad_passes:0.00598 _recursive_joint_graph_passes:0.19418 _recursive_post_grad_passes:0.11072 async_compile.wait:0.32112 code_gen:3.27708 inductor_compile:4.57768 backend_compile:7.14602 gc:0.00075 entire_frame_compile:8.81751 cudagraphify.get_container:0.00239 CachingAutotuner.benchmark_all_configs:1.71628 CUDAGraphNode.record:0.00356 total_wall_time:8.81751
2025-08-14T22:54:33.5562386Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:6680 | FakeTensor.__torch_dispatch__:3904 | ProxyTorchDispatchMode.__torch_dispatch__:2438
2025-08-14T22:54:33.5563159Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique)
2025-08-14T22:54:39.0542509Z 
2025-08-14T22:54:39.8749232Z 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
2025-08-14T22:54:39.8894514Z 
2025-08-14T22:54:39.8894675Z 
2025-08-14T22:54:39.9900411Z   0% 0.00/230M [00:00<?, ?B/s]
2025-08-14T22:54:39.9901086Z 
2025-08-14T22:54:40.1128166Z  17% 39.2M/230M [00:00<00:00, 410MB/s]
2025-08-14T22:54:40.1128407Z 
2025-08-14T22:54:40.2224467Z  34% 78.5M/230M [00:00<00:00, 363MB/s]
2025-08-14T22:54:40.2224682Z 
2025-08-14T22:54:40.3277513Z  49% 114M/230M [00:00<00:00, 350MB/s] 
2025-08-14T22:54:40.3277728Z 
2025-08-14T22:54:40.4309761Z  64% 147M/230M [00:00<00:00, 344MB/s]
2025-08-14T22:54:40.4309973Z 
2025-08-14T22:54:40.5330221Z  78% 180M/230M [00:00<00:00, 341MB/s]
2025-08-14T22:54:40.5330432Z 
2025-08-14T22:54:40.5873585Z  92% 213M/230M [00:00<00:00, 339MB/s]
2025-08-14T22:54:40.5873887Z 100% 230M/230M [00:00<00:00, 346MB/s]
2025-08-14T22:54:41.5874373Z 
2025-08-14T22:54:41.5874956Z loading model: 0it [00:02, ?it/s]
2025-08-14T22:54:41.6063679Z cuda eval  resnet152                          
2025-08-14T22:55:15.0608171Z Compilation time (from dynamo_timed): 30.218612246
2025-08-14T22:55:15.0608636Z pass
2025-08-14T22:55:15.0642175Z TIMING: _recursive_pre_grad_passes:0.01982 pad_mm_benchmark:0.06591 _recursive_joint_graph_passes:0.41314 _recursive_post_grad_passes:0.56709 async_compile.wait:0.02234 code_gen:3.69544 inductor_compile:10.25469 backend_compile:20.35198 gc:0.00087 entire_frame_compile:30.21861 cudagraphify.get_container:0.00289 CUDAGraphNode.record:0.01434 total_wall_time:30.21861
2025-08-14T22:55:15.0644237Z STATS: call_* op count: 515 | FakeTensorMode.__torch_dispatch__:29973 | FakeTensor.__torch_dispatch__:23390 | ProxyTorchDispatchMode.__torch_dispatch__:11943
2025-08-14T22:55:15.0645034Z Dynamo produced 1 graphs covering 515 ops with 0 graph breaks (0 unique)
2025-08-14T22:55:21.4292606Z 
2025-08-14T22:55:21.7311915Z 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
2025-08-14T22:55:21.7467589Z 
2025-08-14T22:55:21.7467797Z 
2025-08-14T22:55:21.8468826Z   0% 0.00/44.7M [00:00<?, ?B/s]
2025-08-14T22:55:21.8469071Z 
2025-08-14T22:55:21.8515696Z  96% 43.0M/44.7M [00:00<00:00, 451MB/s]
2025-08-14T22:55:21.8516005Z 100% 44.7M/44.7M [00:00<00:00, 447MB/s]
2025-08-14T22:55:22.5731442Z 
2025-08-14T22:55:22.5731958Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:55:22.5759695Z cuda eval  resnet18                           
2025-08-14T22:55:30.2272785Z Compilation time (from dynamo_timed): 5.91360836
2025-08-14T22:55:30.2273138Z pass
2025-08-14T22:55:30.2275956Z TIMING: _recursive_pre_grad_passes:0.00575 pad_mm_benchmark:0.10167 _recursive_joint_graph_passes:0.4561 _recursive_post_grad_passes:0.09249 async_compile.wait:0.11179 code_gen:1.25658 inductor_compile:2.211 backend_compile:4.51311 gc:0.00102 entire_frame_compile:5.91361 cudagraphify.get_container:0.0023 CUDAGraphNode.record:0.00342 total_wall_time:5.91361
2025-08-14T22:55:30.2277786Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:4476 | FakeTensor.__torch_dispatch__:3050 | ProxyTorchDispatchMode.__torch_dispatch__:1601
2025-08-14T22:55:30.2278587Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique)
2025-08-14T22:55:35.6833738Z 
2025-08-14T22:55:36.1271160Z 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
2025-08-14T22:55:36.1427898Z 
2025-08-14T22:55:36.1428029Z 
2025-08-14T22:55:36.2431699Z   0% 0.00/97.8M [00:00<?, ?B/s]
2025-08-14T22:55:36.2431906Z 
2025-08-14T22:55:36.3433377Z  39% 38.0M/97.8M [00:00<00:00, 398MB/s]
2025-08-14T22:55:36.3433644Z 
2025-08-14T22:55:36.3816627Z  83% 81.5M/97.8M [00:00<00:00, 432MB/s]
2025-08-14T22:55:36.3816952Z 100% 97.8M/97.8M [00:00<00:00, 430MB/s]
2025-08-14T22:55:37.2336369Z 
2025-08-14T22:55:37.2336666Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:55:37.2405945Z cuda eval  resnet50                           
2025-08-14T22:55:51.5911834Z Compilation time (from dynamo_timed): 11.7358335
2025-08-14T22:55:51.5912299Z pass
2025-08-14T22:55:51.5928995Z TIMING: _recursive_pre_grad_passes:0.00844 pad_mm_benchmark:0.00103 _recursive_joint_graph_passes:0.22197 _recursive_post_grad_passes:0.41133 async_compile.wait:0.02242 code_gen:1.66263 inductor_compile:4.13388 backend_compile:8.19774 gc:0.0018 entire_frame_compile:11.73583 cudagraphify.get_container:0.00206 CUDAGraphNode.record:0.00571 total_wall_time:11.73583
2025-08-14T22:55:51.5930751Z STATS: call_* op count: 175 | FakeTensorMode.__torch_dispatch__:10899 | FakeTensor.__torch_dispatch__:7988 | ProxyTorchDispatchMode.__torch_dispatch__:4123
2025-08-14T22:55:51.5931535Z Dynamo produced 1 graphs covering 175 ops with 0 graph breaks (0 unique)
2025-08-14T22:55:57.3208143Z 
2025-08-14T22:55:57.4977939Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:55:57.4978571Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:55:57.4979167Z cuda eval  resnet50_quantized_qat             
2025-08-14T22:55:57.4982670Z Traceback (most recent call last):
2025-08-14T22:55:57.4983532Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T22:55:57.4984007Z     ) = runner.load_model(
2025-08-14T22:55:57.4984470Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 332, in load_model
2025-08-14T22:55:57.4984984Z     benchmark = benchmark_cls(
2025-08-14T22:55:57.4985556Z   File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__
2025-08-14T22:55:57.4986052Z     obj = type.__call__(cls, *args, **kwargs)
2025-08-14T22:55:57.4986591Z   File "/torchbench/torchbenchmark/models/resnet50_quantized_qat/__init__.py", line 22, in __init__
2025-08-14T22:55:57.4987218Z     raise NotImplementedError("The eval test only supports CPU.")
2025-08-14T22:55:57.4987667Z NotImplementedError: The eval test only supports CPU.
2025-08-14T22:55:57.4987926Z 
2025-08-14T22:55:57.4988020Z model_fail_to_load
2025-08-14T22:56:01.6491988Z 
2025-08-14T22:56:02.0848478Z 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
2025-08-14T22:56:02.1003072Z 
2025-08-14T22:56:02.1003080Z 
2025-08-14T22:56:02.2007921Z   0% 0.00/95.8M [00:00<?, ?B/s]
2025-08-14T22:56:02.2008155Z 
2025-08-14T22:56:02.3007165Z  36% 34.5M/95.8M [00:00<00:00, 361MB/s]
2025-08-14T22:56:02.3007410Z 
2025-08-14T22:56:02.3530185Z  78% 74.6M/95.8M [00:00<00:00, 396MB/s]
2025-08-14T22:56:02.3530505Z 100% 95.8M/95.8M [00:00<00:00, 398MB/s]
2025-08-14T22:56:03.2837714Z 
2025-08-14T22:56:03.2838223Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:56:03.2906853Z cuda eval  resnext50_32x4d                    
2025-08-14T22:56:18.1293559Z Compilation time (from dynamo_timed): 11.847862132
2025-08-14T22:56:18.1293925Z pass
2025-08-14T22:56:18.1315305Z TIMING: _recursive_pre_grad_passes:0.00851 pad_mm_benchmark:0.00107 _recursive_joint_graph_passes:0.22733 _recursive_post_grad_passes:0.20784 async_compile.wait:0.02252 code_gen:1.70482 inductor_compile:4.19255 backend_compile:8.33372 gc:0.00079 entire_frame_compile:11.84786 cudagraphify.get_container:0.00208 CUDAGraphNode.record:0.0057 total_wall_time:11.84786
2025-08-14T22:56:18.1317069Z STATS: call_* op count: 175 | FakeTensorMode.__torch_dispatch__:10822 | FakeTensor.__torch_dispatch__:7988 | ProxyTorchDispatchMode.__torch_dispatch__:4123
2025-08-14T22:56:18.1317847Z Dynamo produced 1 graphs covering 175 ops with 0 graph breaks (0 unique)
2025-08-14T22:56:24.0163997Z 
2025-08-14T22:56:31.5082479Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:56:31.5082901Z loading model: 0it [00:07, ?it/s]
2025-08-14T22:56:31.5210994Z cuda eval  sam                                
2025-08-14T22:57:59.4223570Z Compilation time (from dynamo_timed): 54.42509879
2025-08-14T22:57:59.4225468Z pass
2025-08-14T22:57:59.4598867Z TIMING: _recursive_pre_grad_passes:0.03018 pad_mm_benchmark:1.01132 _recursive_joint_graph_passes:2.94857 _recursive_post_grad_passes:4.37209 async_compile.wait:2.23034 code_gen:14.66387 inductor_compile:27.93598 backend_compile:44.93718 gc:0.00042 entire_frame_compile:54.4251 cudagraphify.get_container:0.00683 CachingAutotuner.benchmark_all_configs:2.67307 CUDAGraphNode.record:0.04567 total_wall_time:54.4251
2025-08-14T22:57:59.4600845Z STATS: call_* op count: 2285 | FakeTensorMode.__torch_dispatch__:83874 | FakeTensor.__torch_dispatch__:29116 | ProxyTorchDispatchMode.__torch_dispatch__:28277
2025-08-14T22:57:59.4601640Z Dynamo produced 1 graphs covering 2285 ops with 0 graph breaks (0 unique)
2025-08-14T22:58:06.8450313Z 
2025-08-14T22:58:57.7154325Z loading model: 0it [00:00, ?it/s]E0814 22:58:57.714000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:57.7155766Z E0814 22:58:57.714000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:57.7157378Z E0814 22:58:57.714000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:57.8233697Z E0814 22:58:57.822000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:57.8236190Z E0814 22:58:57.822000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 147456 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:57.8238551Z E0814 22:58:57.822000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:58.0030664Z E0814 22:58:58.002000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:58.0031940Z E0814 22:58:58.002000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:58.0033421Z E0814 22:58:58.002000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:58.0033949Z Autotune Choices Stats:
2025-08-14T22:58:58.0034920Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_93", "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": 0.8007680177688599, "best_triton_pos": 0}
2025-08-14T22:58:58.0038783Z AUTOTUNE mm(4096x1280, 1280x5120)
2025-08-14T22:58:58.0039157Z strides: [1280, 1], [1, 1280]
2025-08-14T22:58:58.0039438Z dtypes: torch.float16, torch.float16
2025-08-14T22:58:58.0040217Z   triton_mm_93 0.8008 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
2025-08-14T22:58:58.0041322Z   triton_mm_91 0.8028 ms 99.7% 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
2025-08-14T22:58:58.0042481Z   triton_mm_87 0.8182 ms 97.9% 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
2025-08-14T22:58:58.0043484Z   triton_mm_86 0.8212 ms 97.5% 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
2025-08-14T22:58:58.0044483Z   triton_mm_90 0.8233 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=3, num_warps=4
2025-08-14T22:58:58.0045470Z   triton_mm_83 0.8315 ms 96.3% 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
2025-08-14T22:58:58.0046104Z   mm 0.8376 ms 95.6% 
2025-08-14T22:58:58.0046696Z   triton_mm_88 0.8468 ms 94.6% 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
2025-08-14T22:58:58.0047690Z   triton_mm_84 0.8571 ms 93.4% 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
2025-08-14T22:58:58.0048682Z   triton_mm_94 0.8591 ms 93.2% 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
2025-08-14T22:58:58.0049567Z SingleProcess AUTOTUNE benchmarking takes 0.6237 seconds and 0.0004 seconds precompiling for 20 choices
2025-08-14T22:59:00.1488852Z E0814 22:59:00.148000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:59:00.1490511Z E0814 22:59:00.148000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:59:00.1491808Z E0814 22:59:00.148000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:59:00.2566625Z E0814 22:59:00.256000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:59:00.2567892Z E0814 22:59:00.256000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 147456 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:59:00.2569097Z E0814 22:59:00.256000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:59:00.4356626Z E0814 22:59:00.434000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:59:00.4357892Z E0814 22:59:00.434000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:59:00.4359119Z E0814 22:59:00.434000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:59:00.4359647Z Autotune Choices Stats:
2025-08-14T22:59:00.4360862Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.7895039916038513, "best_triton_pos": 1, "best_triton_time": 0.8028159737586975, "best_triton_kernel": "triton_mm_3476", "best_triton_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"}
2025-08-14T22:59:00.4364084Z AUTOTUNE mm(4096x5120, 5120x1280)
2025-08-14T22:59:00.4364380Z strides: [5120, 1], [1, 5120]
2025-08-14T22:59:00.4364656Z dtypes: torch.float16, torch.float16
2025-08-14T22:59:00.4364934Z   mm 0.7895 ms 100.0% 
2025-08-14T22:59:00.4365562Z   triton_mm_3476 0.8028 ms 98.3% 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
2025-08-14T22:59:00.4366592Z   triton_mm_3473 0.8182 ms 96.5% 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
2025-08-14T22:59:00.4367623Z   triton_mm_3477 0.8212 ms 96.1% 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
2025-08-14T22:59:00.4368643Z   triton_mm_3474 0.8264 ms 95.5% 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
2025-08-14T22:59:00.4369671Z   triton_mm_3471 0.8284 ms 95.3% 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
2025-08-14T22:59:00.4370685Z   triton_mm_3470 0.8366 ms 94.4% 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
2025-08-14T22:59:00.4371697Z   triton_mm_3475 0.8530 ms 92.6% 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
2025-08-14T22:59:00.4372766Z   triton_mm_3469 0.8540 ms 92.4% 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
2025-08-14T22:59:00.4373965Z   triton_mm_3466 0.8561 ms 92.2% 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
2025-08-14T22:59:00.4374863Z SingleProcess AUTOTUNE benchmarking takes 0.6229 seconds and 0.0002 seconds precompiling for 20 choices
2025-08-14T22:59:02.9107781Z E0814 22:59:02.910000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:59:02.9109150Z E0814 22:59:02.910000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:59:02.9110461Z E0814 22:59:02.910000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:59:03.0030678Z E0814 22:59:03.002000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:59:03.0031979Z E0814 22:59:03.002000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 147456 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:59:03.0033708Z E0814 22:59:03.002000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:59:03.1577268Z E0814 22:59:03.157000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:59:03.1578542Z E0814 22:59:03.157000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:59:03.1579750Z E0814 22:59:03.157000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:59:03.1580273Z Autotune Choices Stats:
2025-08-14T22:59:03.1581265Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_832", "best_kernel_desc": "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", "best_time": 0.20479999482631683, "best_triton_pos": 0}
2025-08-14T22:59:03.1584817Z AUTOTUNE mm(4096x1280, 1280x1280)
2025-08-14T22:59:03.1585194Z strides: [1280, 1], [1, 1280]
2025-08-14T22:59:03.1585477Z dtypes: torch.float16, torch.float16
2025-08-14T22:59:03.1586150Z   triton_mm_832 0.2048 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
2025-08-14T22:59:03.1587186Z   triton_mm_834 0.2068 ms 99.0% 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
2025-08-14T22:59:03.1588207Z   triton_mm_828 0.2079 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
2025-08-14T22:59:03.1589318Z   triton_mm_824 0.2099 ms 97.6% 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
2025-08-14T22:59:03.1590331Z   triton_mm_827 0.2109 ms 97.1% 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
2025-08-14T22:59:03.1591337Z   triton_mm_831 0.2109 ms 97.1% 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
2025-08-14T22:59:03.1591979Z   mm 0.2130 ms 96.2% 
2025-08-14T22:59:03.1592582Z   triton_mm_829 0.2161 ms 94.8% 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
2025-08-14T22:59:03.1593864Z   triton_mm_825 0.2171 ms 94.3% 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
2025-08-14T22:59:03.1594892Z   triton_mm_835 0.2202 ms 93.0% 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
2025-08-14T22:59:03.1595796Z SingleProcess AUTOTUNE benchmarking takes 0.5462 seconds and 0.0003 seconds precompiling for 20 choices
2025-08-14T22:59:05.4915651Z Autotune Choices Stats:
2025-08-14T22:59:05.4917103Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.4034560024738312, "best_triton_pos": 1, "best_triton_time": 0.9021440148353577, "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"}
2025-08-14T22:59:05.4922960Z AUTOTUNE convolution(1x3x1024x1024, 1280x3x16x16)
2025-08-14T22:59:05.4923357Z strides: [3145728, 1048576, 1024, 1], [768, 256, 16, 1]
2025-08-14T22:59:05.4923690Z dtypes: torch.float16, torch.float16
2025-08-14T22:59:05.4923978Z   convolution 0.4035 ms 100.0% 
2025-08-14T22:59:05.4924746Z   triton_convolution2d_3 0.9021 ms 44.7% 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
2025-08-14T22:59:05.4926028Z   triton_convolution2d_6 1.0496 ms 38.4% 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
2025-08-14T22:59:05.4927292Z   triton_convolution2d_1 1.0977 ms 36.8% 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
2025-08-14T22:59:05.4928563Z   triton_convolution2d_5 1.1418 ms 35.3% 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=8
2025-08-14T22:59:05.4929822Z   triton_convolution2d_0 1.1776 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
2025-08-14T22:59:05.4931069Z   triton_convolution2d_4 1.4920 ms 27.0% 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
2025-08-14T22:59:05.4932327Z   triton_convolution2d_2 3.9301 ms 10.3% 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
2025-08-14T22:59:05.4933351Z SingleProcess AUTOTUNE benchmarking takes 0.4402 seconds and 0.0002 seconds precompiling for 8 choices
2025-08-14T22:59:05.8229473Z E0814 22:59:05.822000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:59:05.8230784Z E0814 22:59:05.822000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:59:05.8231998Z E0814 22:59:05.822000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:59:05.9292359Z E0814 22:59:05.928000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:59:05.9293884Z E0814 22:59:05.928000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 147456 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:59:05.9295158Z E0814 22:59:05.928000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:59:06.1086708Z E0814 22:59:06.108000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:59:06.1089254Z E0814 22:59:06.108000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:59:06.1091734Z E0814 22:59:06.108000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:59:06.1092765Z Autotune Choices Stats:
2025-08-14T22:59:06.1094496Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_17", "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": 0.7423999905586243, "best_triton_pos": 0}
2025-08-14T22:59:06.1095834Z AUTOTUNE mm(4900x1280, 1280x3840)
2025-08-14T22:59:06.1096103Z strides: [1280, 1], [1, 1280]
2025-08-14T22:59:06.1096377Z dtypes: torch.float16, torch.float16
2025-08-14T22:59:06.1097035Z   triton_mm_17 0.7424 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
2025-08-14T22:59:06.1098049Z   triton_mm_16 0.7465 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=3, num_warps=4
2025-08-14T22:59:06.1099063Z   triton_mm_23 0.7506 ms 98.9% 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=3, num_warps=4
2025-08-14T22:59:06.1100086Z   triton_mm_21 0.7598 ms 97.7% 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
2025-08-14T22:59:06.1101085Z   triton_mm_13 0.7649 ms 97.1% 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
2025-08-14T22:59:06.1102105Z   triton_mm_18 0.7670 ms 96.8% 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
2025-08-14T22:59:06.1103106Z   triton_mm_20 0.7711 ms 96.3% 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
2025-08-14T22:59:06.1104107Z   triton_mm_14 0.7834 ms 94.8% 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
2025-08-14T22:59:06.1105107Z   triton_mm_12 0.7946 ms 93.4% 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
2025-08-14T22:59:06.1106114Z   triton_mm_24 0.8018 ms 92.6% 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
2025-08-14T22:59:06.1107012Z SingleProcess AUTOTUNE benchmarking takes 0.6157 seconds and 0.0002 seconds precompiling for 20 choices
2025-08-14T22:59:06.3294108Z Autotune Choices Stats:
2025-08-14T22:59:06.3295181Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_bmm_27", "best_kernel_desc": "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", "best_time": 0.048128001391887665, "best_triton_pos": 0}
2025-08-14T22:59:06.3301347Z AUTOTUNE bmm(14x5600x80, 14x80x14)
2025-08-14T22:59:06.3301681Z strides: [448000, 80, 1], [1152, 1, 80]
2025-08-14T22:59:06.3302324Z dtypes: torch.float16, torch.float16
2025-08-14T22:59:06.3303010Z   triton_bmm_27 0.0481 ms 100.0% 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
2025-08-14T22:59:06.3304044Z   triton_bmm_36 0.0481 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
2025-08-14T22:59:06.3305057Z   triton_bmm_29 0.0492 ms 97.9% 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
2025-08-14T22:59:06.3306066Z   triton_bmm_30 0.0492 ms 97.9% 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=5, num_warps=4
2025-08-14T22:59:06.3307205Z   triton_bmm_31 0.0492 ms 97.9% 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
2025-08-14T22:59:06.3308201Z   triton_bmm_33 0.0492 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
2025-08-14T22:59:06.3319483Z   triton_bmm_35 0.0492 ms 97.9% 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=4, num_warps=4
2025-08-14T22:59:06.3320512Z   triton_bmm_40 0.0492 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=3, num_warps=4
2025-08-14T22:59:06.3321536Z   triton_bmm_41 0.0492 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
2025-08-14T22:59:06.3322556Z   triton_bmm_28 0.0502 ms 95.9% 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
2025-08-14T22:59:06.3323443Z SingleProcess AUTOTUNE benchmarking takes 0.2201 seconds and 0.0002 seconds precompiling for 17 choices
2025-08-14T22:59:06.5545349Z Autotune Choices Stats:
2025-08-14T22:59:06.5546386Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_bmm_53", "best_kernel_desc": "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", "best_time": 0.050144001841545105, "best_triton_pos": 0}
2025-08-14T22:59:06.5555071Z AUTOTUNE bmm(14x5600x80, 14x80x14)
2025-08-14T22:59:06.5555398Z strides: [80, 1120, 1], [1152, 1, 80]
2025-08-14T22:59:06.5555779Z dtypes: torch.float16, torch.float16
2025-08-14T22:59:06.5556701Z   triton_bmm_53 0.0501 ms 100.0% 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
2025-08-14T22:59:06.5557813Z   triton_bmm_50 0.0502 ms 99.9% 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=3, num_warps=4
2025-08-14T22:59:06.5558816Z   triton_bmm_45 0.0512 ms 97.9% 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
2025-08-14T22:59:06.5559822Z   triton_bmm_46 0.0512 ms 97.9% 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=5, num_warps=4
2025-08-14T22:59:06.5560820Z   triton_bmm_49 0.0512 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
2025-08-14T22:59:06.5562049Z   triton_bmm_51 0.0512 ms 97.9% 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=4, num_warps=4
2025-08-14T22:59:06.5563067Z   triton_bmm_52 0.0512 ms 97.9% 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
2025-08-14T22:59:06.5564077Z   triton_bmm_54 0.0512 ms 97.9% 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
2025-08-14T22:59:06.5565083Z   triton_bmm_55 0.0512 ms 97.9% 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=2, num_warps=8
2025-08-14T22:59:06.5566089Z   triton_bmm_43 0.0532 ms 94.2% 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
2025-08-14T22:59:06.5567114Z SingleProcess AUTOTUNE benchmarking takes 0.2248 seconds and 0.0002 seconds precompiling for 17 choices
2025-08-14T22:59:06.8601263Z E0814 22:59:06.859000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:59:06.8602547Z E0814 22:59:06.859000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:59:06.8603764Z E0814 22:59:06.859000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:59:06.9629209Z E0814 22:59:06.962000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:59:06.9630471Z E0814 22:59:06.962000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 147456 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:59:06.9631709Z E0814 22:59:06.962000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:59:07.1319137Z E0814 22:59:07.131000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:59:07.1320411Z E0814 22:59:07.131000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:59:07.1321614Z E0814 22:59:07.131000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:59:07.1322134Z Autotune Choices Stats:
2025-08-14T22:59:07.1323127Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_72", "best_kernel_desc": "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", "best_time": 0.2549760043621063, "best_triton_pos": 0}
2025-08-14T22:59:07.1329161Z AUTOTUNE mm(4900x1280, 1280x1280)
2025-08-14T22:59:07.1329457Z strides: [1280, 1], [1, 1280]
2025-08-14T22:59:07.1329812Z dtypes: torch.float16, torch.float16
2025-08-14T22:59:07.1330537Z   triton_mm_72 0.2550 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
2025-08-14T22:59:07.1331562Z   triton_mm_68 0.2560 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
2025-08-14T22:59:07.1332565Z   triton_mm_67 0.2570 ms 99.2% 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
2025-08-14T22:59:07.1333791Z   triton_mm_74 0.2570 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
2025-08-14T22:59:07.1334879Z   triton_mm_71 0.2611 ms 97.6% 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
2025-08-14T22:59:07.1335881Z   triton_mm_64 0.2632 ms 96.9% 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
2025-08-14T22:59:07.1336884Z   triton_mm_69 0.2652 ms 96.1% 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
2025-08-14T22:59:07.1337875Z   triton_mm_65 0.2662 ms 95.8% 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
2025-08-14T22:59:07.1339026Z   triton_mm_63 0.2693 ms 94.7% 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
2025-08-14T22:59:07.1340041Z   triton_mm_75 0.2724 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
2025-08-14T22:59:07.1340948Z SingleProcess AUTOTUNE benchmarking takes 0.5768 seconds and 0.0002 seconds precompiling for 20 choices
2025-08-14T22:59:07.5051680Z E0814 22:59:07.504000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:59:07.5052972Z E0814 22:59:07.504000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:59:07.5054171Z E0814 22:59:07.504000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:59:07.6106605Z E0814 22:59:07.610000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:59:07.6108104Z E0814 22:59:07.610000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 147456 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:59:07.6109371Z E0814 22:59:07.610000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:59:07.7864730Z E0814 22:59:07.785000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:59:07.7866045Z E0814 22:59:07.785000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:59:07.7867257Z E0814 22:59:07.785000 11035 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:59:07.7867781Z Autotune Choices Stats:
2025-08-14T22:59:07.7868797Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_779", "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": 0.6082559823989868, "best_triton_pos": 0}
2025-08-14T22:59:07.7875524Z AUTOTUNE addmm(4096x3840, 4096x1280, 1280x3840)
2025-08-14T22:59:07.7875935Z strides: [0, 1], [1280, 1], [1, 1280]
2025-08-14T22:59:07.7876262Z dtypes: torch.float16, torch.float16, torch.float16
2025-08-14T22:59:07.7876990Z   triton_mm_779 0.6083 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
2025-08-14T22:59:07.7878350Z   triton_mm_777 0.6144 ms 99.0% 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
2025-08-14T22:59:07.7879369Z   triton_mm_773 0.6195 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=4, num_warps=8
2025-08-14T22:59:07.7880388Z   triton_mm_776 0.6205 ms 98.0% 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=3, num_warps=4
2025-08-14T22:59:07.7881402Z   triton_mm_772 0.6287 ms 96.7% 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
2025-08-14T22:59:07.7882406Z   triton_mm_774 0.6338 ms 96.0% 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
2025-08-14T22:59:07.7883569Z   triton_mm_769 0.6431 ms 94.6% 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
2025-08-14T22:59:07.7884220Z   bias_addmm 0.6451 ms 94.3% 
2025-08-14T22:59:07.7884834Z   triton_mm_770 0.6574 ms 92.5% 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
2025-08-14T22:59:07.7885840Z   triton_mm_780 0.6615 ms 92.0% 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
2025-08-14T22:59:07.7886737Z SingleProcess AUTOTUNE benchmarking takes 0.6378 seconds and 0.0002 seconds precompiling for 21 choices
2025-08-14T22:59:08.0312224Z Autotune Choices Stats:
2025-08-14T22:59:08.0313271Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_784", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.04608000069856644, "best_triton_pos": 0}
2025-08-14T22:59:08.0322750Z AUTOTUNE bmm(64x1024x80, 64x80x64)
2025-08-14T22:59:08.0323100Z strides: [81920, 80, 1], [5120, 1, 80]
2025-08-14T22:59:08.0323438Z dtypes: torch.float16, torch.float16
2025-08-14T22:59:08.0324128Z   triton_bmm_784 0.0461 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8
2025-08-14T22:59:08.0325181Z   triton_bmm_789 0.0461 ms 100.0% 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
2025-08-14T22:59:08.0326233Z   triton_bmm_790 0.0461 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4
2025-08-14T22:59:08.0327304Z   triton_bmm_795 0.0461 ms 100.0% 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
2025-08-14T22:59:08.0328350Z   triton_bmm_785 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
2025-08-14T22:59:08.0329384Z   triton_bmm_786 0.0471 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4
2025-08-14T22:59:08.0330423Z   triton_bmm_788 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
2025-08-14T22:59:08.0331454Z   triton_bmm_791 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=3, num_warps=4
2025-08-14T22:59:08.0332708Z   triton_bmm_792 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
2025-08-14T22:59:08.0333728Z   triton_bmm_793 0.0471 ms 97.8% 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=4
2025-08-14T22:59:08.0334630Z SingleProcess AUTOTUNE benchmarking takes 0.2441 seconds and 0.0002 seconds precompiling for 19 choices
2025-08-14T22:59:08.2783651Z Autotune Choices Stats:
2025-08-14T22:59:08.2784804Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_3483", "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": 0.06143999844789505, "best_triton_pos": 0}
2025-08-14T22:59:08.2794895Z AUTOTUNE convolution(1x1280x64x64, 256x1280x1x1)
2025-08-14T22:59:08.2795268Z strides: [5242880, 4096, 64, 1], [1280, 1, 1, 1]
2025-08-14T22:59:08.2795579Z dtypes: torch.float16, torch.float16
2025-08-14T22:59:08.2796379Z   triton_convolution2d_3483 0.0614 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
2025-08-14T22:59:08.2797672Z   triton_convolution2d_3482 0.0737 ms 83.3% 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
2025-08-14T22:59:08.2798954Z   triton_convolution2d_3485 0.0748 ms 82.2% 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
2025-08-14T22:59:08.2800246Z   triton_convolution2d_3480 0.0788 ms 77.9% 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
2025-08-14T22:59:08.2801512Z   triton_convolution2d_3484 0.0788 ms 77.9% 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
2025-08-14T22:59:08.2802784Z   triton_convolution2d_3479 0.0891 ms 69.0% 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
2025-08-14T22:59:08.2803568Z   convolution 0.0901 ms 68.2% 
2025-08-14T22:59:08.2804347Z   triton_convolution2d_3481 0.1546 ms 39.7% 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
2025-08-14T22:59:08.2805139Z   conv1x1_via_mm 0.4076 ms 15.1% 
2025-08-14T22:59:08.2805641Z SingleProcess AUTOTUNE benchmarking takes 0.1779 seconds and 0.0002 seconds precompiling for 9 choices
2025-08-14T22:59:08.5355478Z Autotune Choices Stats:
2025-08-14T22:59:08.5356915Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.11878400295972824, "best_triton_pos": 1, "best_triton_time": 0.2027519941329956, "best_triton_kernel": "triton_convolution2d_3492", "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"}
2025-08-14T22:59:08.5367066Z AUTOTUNE convolution(1x256x64x64, 256x256x3x3)
2025-08-14T22:59:08.5367480Z strides: [1048576, 4096, 64, 1], [2304, 9, 3, 1]
2025-08-14T22:59:08.5367798Z dtypes: torch.float16, torch.float16
2025-08-14T22:59:08.5368092Z   convolution 0.1188 ms 100.0% 
2025-08-14T22:59:08.5369121Z   triton_convolution2d_3492 0.2028 ms 58.6% 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
2025-08-14T22:59:08.5370425Z   triton_convolution2d_3487 0.2304 ms 51.6% 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
2025-08-14T22:59:08.5371718Z   triton_convolution2d_3488 0.3379 ms 35.2% 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
2025-08-14T22:59:08.5373017Z   triton_convolution2d_3489 0.3420 ms 34.7% 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
2025-08-14T22:59:08.5374442Z   triton_convolution2d_3490 0.3553 ms 33.4% 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
2025-08-14T22:59:08.5375721Z   triton_convolution2d_3491 0.4280 ms 27.8% 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
2025-08-14T22:59:08.5377005Z   triton_convolution2d_3486 0.4372 ms 27.2% 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
2025-08-14T22:59:08.5378029Z SingleProcess AUTOTUNE benchmarking takes 0.2567 seconds and 0.0002 seconds precompiling for 8 choices
2025-08-14T22:59:47.2874881Z Warning: Custom flash attention kernels were written specifically for A100.
2025-08-14T22:59:47.2875603Z We will try to read previously created kernel configurations from /var/lib/jenkins/workspace/flash_4_configs.p.
2025-08-14T22:59:47.2876309Z You can disable this kernel by setting SEGMENT_ANYTHING_FAST_USE_FLASH_4=0
2025-08-14T22:59:47.2877415Z 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.
2025-08-14T22:59:47.2878450Z all configs len:  60
2025-08-14T22:59:51.6018729Z (64, 64, 1, 1)  : 26624.72870001693
2025-08-14T22:59:53.0610615Z (64, 64, 2, 1)  : 6764.482033334692
2025-08-14T22:59:54.5485488Z (64, 64, 2, 2)  : 6784.870633343114
2025-08-14T22:59:55.7878224Z (64, 64, 4, 1)  : 2600.905369999964
2025-08-14T22:59:57.2050026Z (64, 64, 4, 2)  : 3375.8444900013274
2025-08-14T22:59:58.5622991Z (64, 64, 4, 3)  : 2978.9886299977297
2025-08-14T22:59:59.3406750Z (64, 64, 4, 4)  : None
2025-08-14T23:00:00.6414050Z (64, 64, 8, 1)  : 3962.8592799999756
2025-08-14T23:00:01.9299376Z (64, 64, 8, 2)  : 3838.5417499966934
2025-08-14T23:00:03.1139882Z (64, 64, 8, 3)  : 3227.1308600002158
2025-08-14T23:00:03.6233675Z (64, 64, 8, 4)  : None
2025-08-14T23:00:04.1451787Z (64, 64, 8, 5)  : None
2025-08-14T23:00:04.6853989Z (64, 64, 8, 6)  : None
2025-08-14T23:00:05.2401918Z (64, 64, 8, 7)  : None
2025-08-14T23:00:05.8105863Z (64, 64, 8, 8)  : None
2025-08-14T23:00:11.7077388Z (64, 128, 1, 1)  : 70871.28066677906
2025-08-14T23:00:13.8876952Z (64, 128, 2, 1)  : 10445.673549997991
2025-08-14T23:00:16.1510363Z (64, 128, 2, 2)  : 10612.950099994123
2025-08-14T23:00:17.9116566Z (64, 128, 4, 1)  : 3984.966089997215
2025-08-14T23:00:19.1469501Z (64, 128, 4, 2)  : 4439.329739998358
2025-08-14T23:00:20.1434457Z (64, 128, 4, 3)  : None
2025-08-14T23:00:21.2478846Z (64, 128, 4, 4)  : None
2025-08-14T23:00:22.5452338Z (64, 128, 8, 1)  : 3388.7540699970486
2025-08-14T23:00:23.8429694Z (64, 128, 8, 2)  : 3203.4764599984555
2025-08-14T23:00:24.4964595Z (64, 128, 8, 3)  : None
2025-08-14T23:00:25.1635319Z (64, 128, 8, 4)  : None
2025-08-14T23:00:25.8716792Z (64, 128, 8, 5)  : None
2025-08-14T23:00:26.6126937Z (64, 128, 8, 6)  : None
2025-08-14T23:00:27.4080799Z (64, 128, 8, 7)  : None
2025-08-14T23:00:28.2442302Z (64, 128, 8, 8)  : None
2025-08-14T23:00:35.8834327Z (128, 64, 1, 1)  : 67638.33466675351
2025-08-14T23:00:38.9154307Z (128, 64, 2, 1)  : 23950.541800013525
2025-08-14T23:00:42.3065500Z (128, 64, 2, 2)  : 35835.08449996771
2025-08-14T23:00:43.7080948Z (128, 64, 4, 1)  : 6339.278525001646
2025-08-14T23:00:45.2859259Z (128, 64, 4, 2)  : 15182.332900030813
2025-08-14T23:00:46.4289530Z (128, 64, 4, 3)  : None
2025-08-14T23:00:47.6328351Z (128, 64, 4, 4)  : None
2025-08-14T23:00:48.8767611Z (128, 64, 8, 1)  : 2789.320229999248
2025-08-14T23:00:49.8730433Z (128, 64, 8, 2)  : 8384.656400009288
2025-08-14T23:00:51.2598672Z (128, 64, 8, 3)  : 3307.615399999122
2025-08-14T23:00:51.9380786Z (128, 64, 8, 4)  : None
2025-08-14T23:00:52.6289835Z (128, 64, 8, 5)  : None
2025-08-14T23:00:53.3497611Z (128, 64, 8, 6)  : None
2025-08-14T23:00:54.0948379Z (128, 64, 8, 7)  : None
2025-08-14T23:00:54.8506070Z (128, 64, 8, 8)  : None
2025-08-14T23:01:10.5632389Z (128, 128, 1, 1)  : 88701.68666680911
2025-08-14T23:01:16.2563848Z (128, 128, 2, 1)  : 105034.024500128
2025-08-14T23:01:21.6657253Z (128, 128, 2, 2)  : 46140.46579990827
2025-08-14T23:01:23.3752640Z (128, 128, 4, 1)  : None
2025-08-14T23:01:25.2428510Z (128, 128, 4, 2)  : None
2025-08-14T23:01:27.2136976Z (128, 128, 4, 3)  : None
2025-08-14T23:01:29.2898998Z (128, 128, 4, 4)  : None
2025-08-14T23:01:30.6069331Z (128, 128, 8, 1)  : 6652.900875008072
2025-08-14T23:01:32.5680864Z (128, 128, 8, 2)  : 38912.172899972575
2025-08-14T23:01:33.7236043Z (128, 128, 8, 3)  : None
2025-08-14T23:01:34.9015017Z (128, 128, 8, 4)  : None
2025-08-14T23:01:36.1118682Z (128, 128, 8, 5)  : None
2025-08-14T23:01:37.3636060Z (128, 128, 8, 6)  : None
2025-08-14T23:01:38.6669945Z (128, 128, 8, 7)  : None
2025-08-14T23:01:39.9884306Z (128, 128, 8, 8)  : None
2025-08-14T23:01:39.9887494Z Found best_config  (64, 64, 4, 1)  with time  2600.905369999964  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))
2025-08-14T23:01:39.9888686Z Warning: Custom flash attention kernels were written specifically for A100.
2025-08-14T23:01:39.9889289Z Storing configs for NVIDIA A10G locally under /var/lib/jenkins/workspace/flash_4_configs.p
2025-08-14T23:01:39.9889874Z Saving best configs to file /var/lib/jenkins/workspace/flash_4_configs.p
2025-08-14T23:01:48.1036817Z 
2025-08-14T23:01:48.1037552Z loading model: 0it [03:41, ?it/s]
2025-08-14T23:01:48.1038426Z Traceback (most recent call last):
2025-08-14T23:01:48.1039577Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 508, in <module>
2025-08-14T23:01:48.1040261Z     torchbench_main()
2025-08-14T23:01:48.1040898Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 504, in torchbench_main
2025-08-14T23:01:48.1041767Z     main(TorchBenchmarkRunner(), original_dir)
2025-08-14T23:01:48.1042365Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3592, in main
2025-08-14T23:01:48.1045094Z     process_entry(0, runner, original_dir, args)
2025-08-14T23:01:48.1045655Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3517, in process_entry
2025-08-14T23:01:48.1049080Z     result = run(runner, args, original_dir)
2025-08-14T23:01:48.1049565Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4203, in run
2025-08-14T23:01:48.1054350Z     assert marked, f"nothing in example_inputs had a dim with {batch_size}"
2025-08-14T23:01:48.1054845Z AssertionError: nothing in example_inputs had a dim with 4
2025-08-14T23:01:52.3825630Z Run failed with return code:  1
2025-08-14T23:01:52.3826863Z Output:  None
2025-08-14T23:01:52.3827289Z Error:  None
2025-08-14T23:01:55.6708587Z 
2025-08-14T23:01:55.8771914Z 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
2025-08-14T23:01:55.8916667Z 
2025-08-14T23:01:55.8916887Z 
2025-08-14T23:01:55.9153792Z   0% 0.00/8.79M [00:00<?, ?B/s]
2025-08-14T23:01:55.9154122Z 100% 8.79M/8.79M [00:00<00:00, 394MB/s]
2025-08-14T23:01:56.6109039Z 
2025-08-14T23:01:56.6109521Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:01:56.6183917Z cuda eval  shufflenet_v2_x1_0                 
2025-08-14T23:02:12.1511706Z Compilation time (from dynamo_timed): 13.635156628
2025-08-14T23:02:12.1512176Z pass
2025-08-14T23:02:12.1514894Z TIMING: _recursive_pre_grad_passes:0.00929 pad_mm_benchmark:0.06647 _recursive_joint_graph_passes:0.32939 _recursive_post_grad_passes:0.21914 async_compile.wait:0.03072 code_gen:2.46729 inductor_compile:5.31779 backend_compile:9.82067 gc:0.00188 entire_frame_compile:13.63516 cudagraphify.get_container:0.00207 CUDAGraphNode.record:0.006 total_wall_time:13.63516
2025-08-14T23:02:12.1517099Z STATS: call_* op count: 271 | FakeTensorMode.__torch_dispatch__:12553 | FakeTensor.__torch_dispatch__:8552 | ProxyTorchDispatchMode.__torch_dispatch__:4744
2025-08-14T23:02:12.1517892Z Dynamo produced 1 graphs covering 271 ops with 0 graph breaks (0 unique)
2025-08-14T23:02:17.9108184Z 
2025-08-14T23:02:18.0043995Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality.
2025-08-14T23:02:18.0044987Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade.
2025-08-14T23:02:18.0045939Z Users of this version of Gym should be able to simply replace 'import gym' with 'import gymnasium as gym' in the vast majority of cases.
2025-08-14T23:02:18.0046864Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information.
2025-08-14T23:02:18.8722147Z 
2025-08-14T23:02:18.8722626Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:02:18.8726332Z cuda eval  soft_actor_critic                  
2025-08-14T23:02:22.0035437Z Compilation time (from dynamo_timed): 1.979896751
2025-08-14T23:02:22.0035841Z pass
2025-08-14T23:02:22.0037538Z TIMING: _recursive_pre_grad_passes:0.00462 pad_mm_benchmark:0.17346 _recursive_joint_graph_passes:0.33884 _recursive_post_grad_passes:0.05567 async_compile.precompile:0.28779 async_compile.wait:0.00016 code_gen:0.33405 inductor_compile:0.46115 backend_compile:1.74881 gc:0.00131 entire_frame_compile:1.9799 cudagraphify.get_container:0.00311 CUDAGraphNode.record:0.00218 total_wall_time:1.9799
2025-08-14T23:02:22.0039429Z STATS: call_* op count: 16 | FakeTensorMode.__torch_dispatch__:830 | ProxyTorchDispatchMode.__torch_dispatch__:171 | FakeTensor.__torch_dispatch__:120
2025-08-14T23:02:22.0040234Z Dynamo produced 1 graphs covering 16 ops with 0 graph breaks (0 unique)
2025-08-14T23:02:28.7291392Z 
2025-08-14T23:02:30.2122193Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:02:30.2122530Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:02:30.2194669Z cuda eval  speech_transformer                 
2025-08-14T23:02:40.1229431Z W0814 23:02:40.122000 18118 site-packages/torch/_inductor/utils.py:2236] [7/0_1] DeviceCopy in input program
2025-08-14T23:02:41.0593647Z cudagraph partition due to non gpu ops
2025-08-14T23:02:41.0594031Z cudagraph partition due to non gpu ops
2025-08-14T23:02:41.0594343Z cudagraph partition due to non gpu ops
2025-08-14T23:02:41.0594658Z cudagraph partition due to non gpu ops
2025-08-14T23:02:41.0594968Z cudagraph partition due to non gpu ops
2025-08-14T23:02:41.0595287Z cudagraph partition due to non gpu ops
2025-08-14T23:02:41.0595599Z cudagraph partition due to non gpu ops
2025-08-14T23:02:41.0596062Z cudagraph partition due to DeviceCopy ops
2025-08-14T23:02:41.0901078Z cudagraph partition into 2 partitions
2025-08-14T23:03:05.6052449Z W0814 23:03:05.604000 18118 site-packages/torch/_inductor/utils.py:2236] [13/0_1] DeviceCopy in input program
2025-08-14T23:03:07.1128763Z cudagraph partition due to non gpu ops
2025-08-14T23:03:07.1129457Z cudagraph partition due to non gpu ops
2025-08-14T23:03:07.1130073Z cudagraph partition due to non gpu ops
2025-08-14T23:03:07.1130678Z cudagraph partition due to non gpu ops
2025-08-14T23:03:07.1131264Z cudagraph partition due to non gpu ops
2025-08-14T23:03:07.1131863Z cudagraph partition due to non gpu ops
2025-08-14T23:03:07.1132476Z cudagraph partition due to non gpu ops
2025-08-14T23:03:07.1133062Z cudagraph partition due to non gpu ops
2025-08-14T23:03:07.1133662Z cudagraph partition due to non gpu ops
2025-08-14T23:03:07.1134264Z cudagraph partition due to non gpu ops
2025-08-14T23:03:07.1134850Z cudagraph partition due to non gpu ops
2025-08-14T23:03:07.1135933Z cudagraph partition due to non gpu ops
2025-08-14T23:03:07.1136553Z cudagraph partition due to non gpu ops
2025-08-14T23:03:07.1137150Z cudagraph partition due to DeviceCopy ops
2025-08-14T23:03:07.1667569Z cudagraph partition into 2 partitions
2025-08-14T23:03:10.8253947Z Compilation time (from dynamo_timed): 38.405189837
2025-08-14T23:03:10.8254327Z pass
2025-08-14T23:03:10.8278885Z TIMING: gc:0.0109 entire_frame_compile:38.40519 _recursive_pre_grad_passes:0.02234 _recursive_joint_graph_passes:1.66501 _recursive_post_grad_passes:1.84214 async_compile.precompile:0.11471 async_compile.wait:2.48169 code_gen:11.71218 inductor_compile:16.86766 backend_compile:28.39643 cudagraphify.get_container:0.00243 pad_mm_benchmark:0.71805 CachingAutotuner.benchmark_all_configs:0.10429 CUDAGraphNode.record:0.02293 total_wall_time:38.40519
2025-08-14T23:03:10.8280970Z STATS: call_* op count: 1454 | FakeTensorMode.__torch_dispatch__:41504 | FakeTensor.__torch_dispatch__:10197 | ProxyTorchDispatchMode.__torch_dispatch__:17564
2025-08-14T23:03:10.8281813Z Dynamo produced 7 graphs covering 1454 ops with 10 graph breaks (2 unique)
2025-08-14T23:03:16.9455954Z 
2025-08-14T23:03:17.1456654Z 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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2025-08-14T23:03:17.8468517Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:03:17.8486622Z cuda eval  squeezenet1_1                      
2025-08-14T23:03:24.4519345Z Compilation time (from dynamo_timed): 5.024588806
2025-08-14T23:03:24.4519775Z pass
2025-08-14T23:03:24.4521838Z TIMING: _recursive_pre_grad_passes:0.00505 _recursive_joint_graph_passes:0.32863 _recursive_post_grad_passes:0.0318 async_compile.wait:0.57173 code_gen:1.83647 inductor_compile:2.31966 backend_compile:4.06439 gc:0.00049 entire_frame_compile:5.02459 cudagraphify.get_container:0.00239 CUDAGraphNode.record:0.00278 total_wall_time:5.02459
2025-08-14T23:03:24.4523562Z STATS: call_* op count: 66 | FakeTensorMode.__torch_dispatch__:2157 | FakeTensor.__torch_dispatch__:660 | ProxyTorchDispatchMode.__torch_dispatch__:550
2025-08-14T23:03:24.4524327Z Dynamo produced 1 graphs covering 66 ops with 0 graph breaks (0 unique)
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2025-08-14T23:03:38.9802844Z 
2025-08-14T23:03:38.9802966Z 
2025-08-14T23:03:39.2607708Z Loading pipeline components...:   0% 0/6 [00:00<?, ?it/s]
2025-08-14T23:03:39.2608022Z 
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2025-08-14T23:03:40.1236885Z 
2025-08-14T23:03:40.1861814Z Loading pipeline components...:  67% 4/6 [00:01<00:00,  3.49it/s]
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2025-08-14T23:03:41.8687485Z 
2025-08-14T23:03:41.8687693Z loading model: 0it [00:11, ?it/s]
2025-08-14T23:03:41.8791984Z cuda eval  stable_diffusion_text_encoder      
2025-08-14T23:03:42.0475314Z WARNING:common:fp64 golden ref were not generated for stable_diffusion_text_encoder. Setting accuracy check to cosine
2025-08-14T23:04:05.0211541Z Compilation time (from dynamo_timed): 21.165154507
2025-08-14T23:04:05.0211890Z pass
2025-08-14T23:04:05.0359459Z TIMING: _recursive_pre_grad_passes:0.01223 pad_mm_benchmark:0.39513 _recursive_joint_graph_passes:1.19903 _recursive_post_grad_passes:2.10077 async_compile.wait:0.51017 code_gen:3.76182 inductor_compile:8.79898 backend_compile:16.33468 gc:0.0003 entire_frame_compile:21.16515 cudagraphify.get_container:0.09269 CUDAGraphNode.record:0.01919 total_wall_time:21.16515
2025-08-14T23:04:05.0361711Z STATS: call_* op count: 617 | FakeTensorMode.__torch_dispatch__:28323 | FakeTensor.__torch_dispatch__:11898 | ProxyTorchDispatchMode.__torch_dispatch__:10774
2025-08-14T23:04:05.0362511Z Dynamo produced 1 graphs covering 617 ops with 0 graph breaks (0 unique)
2025-08-14T23:04:11.6108363Z 
2025-08-14T23:04:13.5008514Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:04:13.5008833Z 
2025-08-14T23:04:14.1315684Z Loading pipeline components...:   0% 0/6 [00:00<?, ?it/s]
2025-08-14T23:04:14.1316279Z 
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2025-08-14T23:04:14.3583671Z 
2025-08-14T23:04:14.5669057Z Loading pipeline components...:  50% 3/6 [00:00<00:00,  3.59it/s]
2025-08-14T23:04:14.5669386Z 
2025-08-14T23:04:14.5670257Z Loading pipeline components...:  83% 5/6 [00:01<00:00,  5.44it/s]
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2025-08-14T23:04:16.9514910Z 
2025-08-14T23:04:16.9515363Z loading model: 0it [00:05, ?it/s]
2025-08-14T23:04:16.9709534Z cuda eval  stable_diffusion_unet              
2025-08-14T23:04:16.9959333Z Compilation time (from dynamo_timed): 0
2025-08-14T23:04:16.9959679Z pass_due_to_skip
2025-08-14T23:04:17.1540011Z TIMING: total_wall_time:0
2025-08-14T23:04:17.1540602Z STATS: call_* op count: 0
2025-08-14T23:04:17.1541148Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-14T23:04:21.6945701Z 
2025-08-14T23:04:22.9486187Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:04:22.9486486Z 
2025-08-14T23:04:23.0240381Z model.safetensors:   0% 0.00/21.4M [00:00<?, ?B/s]
2025-08-14T23:04:23.0240919Z model.safetensors: 100% 21.4M/21.4M [00:00<00:00, 284MB/s]
2025-08-14T23:04:23.8953832Z 
2025-08-14T23:04:23.8954394Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:04:23.9038121Z cuda eval  timm_efficientnet                  
2025-08-14T23:04:44.9842236Z Compilation time (from dynamo_timed): 16.277520858
2025-08-14T23:04:44.9842767Z pass
2025-08-14T23:04:44.9845443Z TIMING: _recursive_pre_grad_passes:0.00904 pad_mm_benchmark:0.00123 _recursive_joint_graph_passes:0.24459 _recursive_post_grad_passes:0.23528 async_compile.wait:0.0596 code_gen:3.29355 inductor_compile:6.70373 backend_compile:11.5001 gc:0.00059 entire_frame_compile:16.27752 cudagraphify.get_container:0.00209 CUDAGraphNode.record:0.00789 total_wall_time:16.27752
2025-08-14T23:04:44.9847198Z STATS: call_* op count: 239 | FakeTensorMode.__torch_dispatch__:13148 | FakeTensor.__torch_dispatch__:8796 | ProxyTorchDispatchMode.__torch_dispatch__:4941
2025-08-14T23:04:44.9847990Z Dynamo produced 1 graphs covering 239 ops with 0 graph breaks (0 unique)
2025-08-14T23:04:50.8684511Z 
2025-08-14T23:04:52.5820423Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:04:52.5820665Z 
2025-08-14T23:04:52.6878167Z model.safetensors:   0% 0.00/208M [00:00<?, ?B/s]
2025-08-14T23:04:52.6878433Z 
2025-08-14T23:04:52.7933762Z model.safetensors:  20% 41.9M/208M [00:00<00:00, 397MB/s]
2025-08-14T23:04:52.7934081Z 
2025-08-14T23:04:52.9374453Z model.safetensors:  45% 94.4M/208M [00:00<00:00, 456MB/s]
2025-08-14T23:04:52.9374760Z 
2025-08-14T23:04:53.0642335Z model.safetensors:  71% 147M/208M [00:00<00:00, 407MB/s] 
2025-08-14T23:04:53.0642626Z 
2025-08-14T23:04:53.1239816Z model.safetensors:  91% 189M/208M [00:00<00:00, 376MB/s]
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2025-08-14T23:04:54.1581937Z 
2025-08-14T23:04:54.1582324Z loading model: 0it [00:03, ?it/s]
2025-08-14T23:04:54.1689733Z cuda eval  timm_regnet                        
2025-08-14T23:05:15.4259463Z Compilation time (from dynamo_timed): 17.119318096
2025-08-14T23:05:15.4261315Z pass
2025-08-14T23:05:15.4287380Z TIMING: _recursive_pre_grad_passes:0.01178 pad_mm_benchmark:0.06729 _recursive_joint_graph_passes:0.31387 _recursive_post_grad_passes:0.26604 async_compile.wait:0.02566 code_gen:2.34869 inductor_compile:5.81028 backend_compile:11.33391 gc:0.00103 entire_frame_compile:17.11932 cudagraphify.get_container:0.00258 CUDAGraphNode.record:0.01224 total_wall_time:17.11932
2025-08-14T23:05:15.4289552Z STATS: call_* op count: 319 | FakeTensorMode.__torch_dispatch__:15238 | FakeTensor.__torch_dispatch__:10324 | ProxyTorchDispatchMode.__torch_dispatch__:5814
2025-08-14T23:05:15.4290343Z Dynamo produced 1 graphs covering 319 ops with 0 graph breaks (0 unique)
2025-08-14T23:05:21.2744398Z 
2025-08-14T23:05:22.5137472Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:05:22.5137713Z 
2025-08-14T23:05:22.6254064Z model.safetensors:   0% 0.00/42.6M [00:00<?, ?B/s]
2025-08-14T23:05:22.6254461Z 
2025-08-14T23:05:22.6771364Z model.safetensors:  74% 31.5M/42.6M [00:00<00:00, 282MB/s]
2025-08-14T23:05:22.6772050Z model.safetensors: 100% 42.6M/42.6M [00:00<00:00, 261MB/s]
2025-08-14T23:05:23.5475740Z 
2025-08-14T23:05:23.5476115Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:05:23.5514500Z cuda eval  timm_resnest                       
2025-08-14T23:05:35.5279967Z Compilation time (from dynamo_timed): 9.447424122
2025-08-14T23:05:35.5280460Z pass
2025-08-14T23:05:35.5283952Z TIMING: _recursive_pre_grad_passes:0.00647 pad_mm_benchmark:0.00125 _recursive_joint_graph_passes:0.21564 _recursive_post_grad_passes:0.19108 async_compile.wait:0.15897 code_gen:3.30078 inductor_compile:4.99109 backend_compile:7.38689 gc:0.001 entire_frame_compile:9.44742 cudagraphify.get_container:0.00221 CUDAGraphNode.record:0.00432 total_wall_time:9.44742
2025-08-14T23:05:35.5286251Z STATS: call_* op count: 131 | FakeTensorMode.__torch_dispatch__:6513 | FakeTensor.__torch_dispatch__:3884 | ProxyTorchDispatchMode.__torch_dispatch__:2205
2025-08-14T23:05:35.5287028Z Dynamo produced 1 graphs covering 131 ops with 0 graph breaks (0 unique)
2025-08-14T23:05:41.2253874Z 
2025-08-14T23:05:42.5990719Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:05:42.5990972Z 
2025-08-14T23:05:42.7111482Z model.safetensors:   0% 0.00/88.2M [00:00<?, ?B/s]
2025-08-14T23:05:42.7111765Z 
2025-08-14T23:05:42.8127739Z model.safetensors:  48% 41.9M/88.2M [00:00<00:00, 375MB/s]
2025-08-14T23:05:42.8128229Z model.safetensors: 100% 88.2M/88.2M [00:00<00:00, 413MB/s]
2025-08-14T23:05:43.4316013Z 
2025-08-14T23:05:43.4316377Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:05:43.4367696Z cuda eval  timm_vision_transformer            
2025-08-14T23:05:54.6809344Z Compilation time (from dynamo_timed): 9.581005348
2025-08-14T23:05:54.6809698Z pass
2025-08-14T23:05:54.6818862Z TIMING: _recursive_pre_grad_passes:0.0075 pad_mm_benchmark:0.39727 _recursive_joint_graph_passes:0.98754 _recursive_post_grad_passes:0.63049 async_compile.wait:0.13257 code_gen:1.66812 inductor_compile:3.70386 backend_compile:7.48241 gc:0.00107 entire_frame_compile:9.58101 cudagraphify.get_container:0.00251 CUDAGraphNode.record:0.00935 total_wall_time:9.58101
2025-08-14T23:05:54.6820855Z STATS: call_* op count: 263 | FakeTensorMode.__torch_dispatch__:11381 | FakeTensor.__torch_dispatch__:5167 | ProxyTorchDispatchMode.__torch_dispatch__:4218
2025-08-14T23:05:54.6821732Z Dynamo produced 1 graphs covering 263 ops with 0 graph breaks (0 unique)
2025-08-14T23:06:00.3108380Z 
2025-08-14T23:06:13.3433241Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:06:13.3433584Z loading model: 0it [00:13, ?it/s]
2025-08-14T23:06:13.3588310Z cuda eval  timm_vision_transformer_large      
2025-08-14T23:06:13.3837712Z Compilation time (from dynamo_timed): 0
2025-08-14T23:06:13.3838029Z pass_due_to_skip
2025-08-14T23:06:13.4939430Z TIMING: total_wall_time:0
2025-08-14T23:06:13.4939999Z STATS: call_* op count: 0
2025-08-14T23:06:13.4940739Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-14T23:06:17.9578603Z 
2025-08-14T23:06:20.0362818Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:06:20.0363143Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:06:20.0417352Z cuda eval  timm_vovnet                        
2025-08-14T23:06:34.8205937Z Compilation time (from dynamo_timed): 11.08235086
2025-08-14T23:06:34.8206281Z pass
2025-08-14T23:06:34.8222476Z TIMING: _recursive_pre_grad_passes:0.0074 pad_mm_benchmark:0.00126 _recursive_joint_graph_passes:0.21104 _recursive_post_grad_passes:0.15921 async_compile.wait:0.05118 code_gen:2.88618 inductor_compile:4.66005 backend_compile:8.07059 gc:0.00012 entire_frame_compile:11.08235 cudagraphify.get_container:0.00229 CUDAGraphNode.record:0.00536 total_wall_time:11.08235
2025-08-14T23:06:34.8224651Z STATS: call_* op count: 130 | FakeTensorMode.__torch_dispatch__:8378 | FakeTensor.__torch_dispatch__:5940 | ProxyTorchDispatchMode.__torch_dispatch__:3092
2025-08-14T23:06:34.8225439Z Dynamo produced 1 graphs covering 130 ops with 0 graph breaks (0 unique)
2025-08-14T23:06:40.6097216Z 
2025-08-14T23:06:40.8389006Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:06:40.8389267Z 
2025-08-14T23:06:40.8444818Z clip_merges.bpe: 0.00B [00:00, ?B/s]
2025-08-14T23:06:40.8445156Z clip_merges.bpe: 532kB [00:00, 97.2MB/s]
2025-08-14T23:06:42.4283634Z 
2025-08-14T23:06:42.4283990Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:06:42.4369011Z cuda eval  torch_multimodal_clip              
2025-08-14T23:07:03.4495192Z Compilation time (from dynamo_timed): 18.306119363
2025-08-14T23:07:03.4495556Z pass
2025-08-14T23:07:03.4527597Z TIMING: _recursive_pre_grad_passes:0.01147 pad_mm_benchmark:0.10172 _recursive_joint_graph_passes:0.86313 _recursive_post_grad_passes:1.11653 async_compile.wait:0.56909 code_gen:4.52936 inductor_compile:8.22872 backend_compile:13.97329 gc:0.00193 entire_frame_compile:18.30612 cudagraphify.get_container:0.00228 CachingAutotuner.benchmark_all_configs:0.05167 CUDAGraphNode.record:0.01692 total_wall_time:18.30612
2025-08-14T23:07:03.4529613Z STATS: call_* op count: 370 | FakeTensorMode.__torch_dispatch__:21755 | FakeTensor.__torch_dispatch__:9456 | ProxyTorchDispatchMode.__torch_dispatch__:7931
2025-08-14T23:07:03.4530412Z Dynamo produced 1 graphs covering 370 ops with 0 graph breaks (0 unique)
2025-08-14T23:07:09.5038376Z 
2025-08-14T23:07:09.9160087Z loading model: 0it [00:00, ?it/s]WARNING:common:Model tts_angular does not support bfloat16, running with amp instead
2025-08-14T23:07:10.2013982Z 
2025-08-14T23:07:10.2014416Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:07:10.2015097Z WARNING:common:Model tts_angular does not support bfloat16, running with amp instead
2025-08-14T23:07:10.2015591Z cuda eval  tts_angular                        
2025-08-14T23:07:10.2709168Z WARNING:common:Model tts_angular does not support bfloat16, running with amp instead
2025-08-14T23:07:16.6294900Z Compilation time (from dynamo_timed): 5.211681537
2025-08-14T23:07:16.6295346Z pass
2025-08-14T23:07:16.6318988Z TIMING: _recursive_pre_grad_passes:0.00365 _recursive_joint_graph_passes:0.16174 inductor_compile:0.26351 backend_compile:1.51688 gc:0.00291 entire_frame_compile:5.21168 _recursive_post_grad_passes:0.02248 async_compile.precompile:0.14457 async_compile.wait:0.00017 code_gen:0.20118 total_wall_time:5.21168
2025-08-14T23:07:16.6320548Z STATS: call_* op count: 6 | FakeTensorMode.__torch_dispatch__:410 | ProxyTorchDispatchMode.__torch_dispatch__:54 | FakeTensor.__torch_dispatch__:37
2025-08-14T23:07:16.6321583Z Dynamo produced 3 graphs covering 6 ops with 2 graph breaks (1 unique)
2025-08-14T23:07:24.6217450Z 
2025-08-14T23:07:25.6544765Z 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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2025-08-14T23:07:28.0851386Z loading model: 0it [00:03, ?it/s]
2025-08-14T23:07:28.0861652Z cuda eval  vgg16                              
2025-08-14T23:07:37.3102067Z Compilation time (from dynamo_timed): 4.740362775
2025-08-14T23:07:37.3102442Z pass
2025-08-14T23:07:37.3104032Z TIMING: _recursive_pre_grad_passes:0.00451 pad_mm_benchmark:0.23678 _recursive_joint_graph_passes:0.40373 _recursive_post_grad_passes:0.22608 async_compile.precompile:0.57742 async_compile.wait:0.49614 code_gen:1.82196 inductor_compile:2.35385 backend_compile:4.10752 gc:0.00026 entire_frame_compile:4.74036 cudagraphify.get_container:0.00328 CachingAutotuner.benchmark_all_configs:0.27286 CUDAGraphNode.record:0.00288 total_wall_time:4.74036
2025-08-14T23:07:37.3106030Z STATS: call_* op count: 40 | FakeTensorMode.__torch_dispatch__:1935 | FakeTensor.__torch_dispatch__:401 | ProxyTorchDispatchMode.__torch_dispatch__:428
2025-08-14T23:07:37.3106788Z Dynamo produced 1 graphs covering 40 ops with 0 graph breaks (0 unique)
2025-08-14T23:07:42.7505918Z 
2025-08-14T23:07:43.3351677Z 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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2025-08-14T23:07:45.3547464Z WARNING:common:Model vision_maskrcnn does not support bfloat16, running with float16 instead
2025-08-14T23:07:54.1323013Z 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
2025-08-14T23:07:54.1324187Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:07:54.1325286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:07:54.1325921Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:07:54.1326534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:07:54.1327080Z     return input[
2025-08-14T23:07:54.1327215Z 
2025-08-14T23:07:54.1327219Z 
2025-08-14T23:08:02.9864937Z 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
2025-08-14T23:08:02.9866087Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:08:02.9866876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:08:02.9867488Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:08:02.9868544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:08:02.9869095Z     return input[
2025-08-14T23:08:02.9869229Z 
2025-08-14T23:08:02.9869234Z 
2025-08-14T23:08:08.7598040Z 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
2025-08-14T23:08:08.7599213Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:08:08.7599999Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:08:08.7600603Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:08:08.7601168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:08:08.7601741Z     return input[
2025-08-14T23:08:08.7601878Z 
2025-08-14T23:08:08.7601883Z 
2025-08-14T23:08:15.0157903Z 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
2025-08-14T23:08:15.0159171Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:08:15.0160087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:08:15.0160701Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:08:15.0161261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:08:15.0161822Z     return input[
2025-08-14T23:08:15.0161957Z 
2025-08-14T23:08:15.0161961Z 
2025-08-14T23:08:23.5523923Z 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
2025-08-14T23:08:23.5525100Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:08:23.5525898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:08:23.5526516Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:08:23.5527082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:08:23.5527627Z     return input[
2025-08-14T23:08:23.5527773Z 
2025-08-14T23:08:23.5527784Z 
2025-08-14T23:08:32.3073367Z 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
2025-08-14T23:08:32.3074855Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:08:32.3075641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:08:32.3076248Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:08:32.3076812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:08:32.3077369Z     return input[
2025-08-14T23:08:32.3077504Z 
2025-08-14T23:08:32.3077508Z 
2025-08-14T23:08:40.6285071Z 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
2025-08-14T23:08:40.6286232Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:08:40.6287051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:08:40.6287996Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:08:40.6288571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:08:40.6289131Z     return input[
2025-08-14T23:08:40.6289275Z 
2025-08-14T23:08:40.6289280Z 
2025-08-14T23:08:49.4746342Z 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
2025-08-14T23:08:49.4747494Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:08:49.4748340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:08:49.4748952Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:08:49.4749542Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:08:49.4750087Z     return input[
2025-08-14T23:08:49.4750224Z 
2025-08-14T23:08:49.4750228Z 
2025-08-14T23:08:50.0521690Z 
2025-08-14T23:08:50.0522226Z loading model: 0it [01:07, ?it/s]
2025-08-14T23:08:50.0523472Z WARNING:common:Model vision_maskrcnn does not support bfloat16, running with float16 instead
2025-08-14T23:08:50.0589424Z cuda eval  vision_maskrcnn                    
2025-08-14T23:08:50.9599080Z W0814 23:08:50.959000 23926 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8] torch._dynamo hit config.recompile_limit (8)
2025-08-14T23:08:50.9600198Z W0814 23:08:50.959000 23926 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8]    function: '_roi_align' (/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py:114)
2025-08-14T23:08:50.9601298Z W0814 23:08:50.959000 23926 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8]    last reason: 0/7: GLOBAL_STATE changed: grad_mode 
2025-08-14T23:08:50.9602284Z W0814 23:08:50.959000 23926 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
2025-08-14T23:08:50.9603428Z W0814 23:08:50.959000 23926 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html
2025-08-14T23:08:51.8753511Z WARNING:common:Model vision_maskrcnn does not support bfloat16, running with float16 instead
2025-08-14T23:09:12.8781554Z W0814 23:09:12.877000 23926 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-14T23:09:12.8932829Z W0814 23:09:12.892000 23926 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-14T23:09:12.9092859Z W0814 23:09:12.908000 23926 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-14T23:09:12.9240599Z W0814 23:09:12.923000 23926 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-14T23:09:12.9384027Z W0814 23:09:12.937000 23926 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-14T23:09:13.5152956Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:09:13.5153662Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-14T23:09:13.5154294Z     anchors = self.anchor_generator(images, features)
2025-08-14T23:09:13.5154947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-14T23:09:13.5155795Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-14T23:09:13.5156492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-14T23:09:13.5157750Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:09:13.5158541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-14T23:09:13.5159319Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:09:13.5159675Z 
2025-08-14T23:09:13.5159843Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:09:13.5160487Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-14T23:09:13.5161108Z     anchors = self.anchor_generator(images, features)
2025-08-14T23:09:13.5161758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-14T23:09:13.5162425Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-14T23:09:13.5163119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-14T23:09:13.5163930Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:09:13.5164709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-14T23:09:13.5165493Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:09:13.5165843Z 
2025-08-14T23:09:13.5166014Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:09:13.5166665Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-14T23:09:13.5167295Z     anchors = self.anchor_generator(images, features)
2025-08-14T23:09:13.5167947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-14T23:09:13.5168628Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-14T23:09:13.5169321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-14T23:09:13.5170136Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:09:13.5170922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-14T23:09:13.5171711Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:09:13.5172061Z 
2025-08-14T23:09:13.5172228Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:09:13.5172867Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-14T23:09:13.5173495Z     anchors = self.anchor_generator(images, features)
2025-08-14T23:09:13.5174360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-14T23:09:13.5175025Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-14T23:09:13.5175716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-14T23:09:13.5176529Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:09:13.5177314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-14T23:09:13.5178096Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:09:13.5178456Z 
2025-08-14T23:09:13.5178621Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:09:13.5179266Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-14T23:09:13.5179981Z     anchors = self.anchor_generator(images, features)
2025-08-14T23:09:13.5180636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-14T23:09:13.5181304Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-14T23:09:13.5181991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-14T23:09:13.5182796Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:09:13.5183582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-14T23:09:13.5184371Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:09:13.5184721Z 
2025-08-14T23:09:13.5368768Z cudagraph partition into 2 partitions
2025-08-14T23:09:15.8666081Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] Graph break from `Tensor.item()`, consider setting:
2025-08-14T23:09:15.8667055Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-14T23:09:15.8667845Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] or:
2025-08-14T23:09:15.8668630Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-14T23:09:15.8669537Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] to include these operations in the captured graph.
2025-08-14T23:09:15.8670300Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] 
2025-08-14T23:09:15.8671011Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] Graph break: from user code at:
2025-08-14T23:09:15.8672339Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [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
2025-08-14T23:09:15.8673957Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]     detections, detector_losses = self.roi_heads(features, proposals, images.image_sizes, targets)
2025-08-14T23:09:15.8675377Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 763, in forward
2025-08-14T23:09:15.8676650Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]     box_features = self.box_roi_pool(features, proposals, image_shapes)
2025-08-14T23:09:15.8678179Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 310, in forward
2025-08-14T23:09:15.8679331Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]     self.scales, self.map_levels = _setup_scales(
2025-08-14T23:09:15.8680490Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in _setup_scales
2025-08-14T23:09:15.8681718Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]     scales = [_infer_scale(feat, original_input_shape) for feat in features]
2025-08-14T23:09:15.8682941Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in <listcomp>
2025-08-14T23:09:15.8684329Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]     scales = [_infer_scale(feat, original_input_shape) for feat in features]
2025-08-14T23:09:15.8685559Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 104, in _infer_scale
2025-08-14T23:09:15.8686747Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]     scale = 2 ** float(torch.tensor(approx_scale).log2().round())
2025-08-14T23:09:15.8687536Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] 
2025-08-14T23:09:15.8688118Z W0814 23:09:15.865000 23926 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] 
2025-08-14T23:09:16.3340506Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:09:16.3341610Z    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
2025-08-14T23:09:16.3342467Z     lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item()
2025-08-14T23:09:16.3342805Z 
2025-08-14T23:09:17.0793396Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:09:17.0794191Z    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
2025-08-14T23:09:17.0795007Z     lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item()
2025-08-14T23:09:17.0795341Z 
2025-08-14T23:10:29.7109431Z Compilation time (from dynamo_timed): 97.11786248
2025-08-14T23:10:29.7110998Z pass
2025-08-14T23:10:29.7131745Z TIMING: gc:0.03538 entire_frame_compile:97.11786 _recursive_pre_grad_passes:0.0307 _recursive_joint_graph_passes:0.57404 _recursive_post_grad_passes:0.4312 async_compile.wait:1.56466 code_gen:5.40486 inductor_compile:14.48227 backend_compile:25.45629 cudagraphify.get_container:0.01611 pad_mm_benchmark:0.00214 CUDAGraphNode.record:0.01182 total_wall_time:97.11786
2025-08-14T23:10:29.7133857Z STATS: call_* op count: 3077 | FakeTensor.__torch_dispatch__:28591 | FakeTensorMode.__torch_dispatch__:84463 | attempt fast:742 | fast is_contiguous:566 | slow both tensors nontrivially broadcast:176 | ProxyTorchDispatchMode.__torch_dispatch__:27132
2025-08-14T23:10:29.7134962Z Dynamo produced 19 graphs covering 1125 ops with 20 graph breaks (3 unique)
2025-08-14T23:10:38.7246804Z 
2025-08-14T23:10:40.8289500Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:10:40.8290126Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:10:40.8386483Z cuda eval  yolov3                             
2025-08-14T23:10:59.4751884Z W0814 23:10:59.474000 24925 site-packages/torch/_inductor/utils.py:2236] [0/0] DeviceCopy in input program
2025-08-14T23:10:59.6368233Z W0814 23:10:59.636000 24925 site-packages/torch/_inductor/utils.py:2236] [0/0] DeviceCopy in input program
2025-08-14T23:10:59.7968548Z W0814 23:10:59.796000 24925 site-packages/torch/_inductor/utils.py:2236] [0/0] DeviceCopy in input program
2025-08-14T23:10:59.8681827Z W0814 23:10:59.867000 24925 site-packages/torch/_inductor/utils.py:2236] [0/0] DeviceCopy in input program
2025-08-14T23:10:59.8693614Z W0814 23:10:59.868000 24925 site-packages/torch/_inductor/utils.py:2236] [0/0] DeviceCopy in input program
2025-08-14T23:10:59.8706858Z W0814 23:10:59.870000 24925 site-packages/torch/_inductor/utils.py:2236] [0/0] DeviceCopy in input program
2025-08-14T23:11:01.6673899Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:11:01.6676149Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:11:01.6676755Z     return mod(*inputs)
2025-08-14T23:11:01.6677186Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:11:01.6677662Z     return self.forward_once(x)
2025-08-14T23:11:01.6678129Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:11:01.6679327Z     yolo_out.append(module(x, out))
2025-08-14T23:11:01.6679963Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:11:01.6680590Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:11:01.6681269Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 205, in create_grids
2025-08-14T23:11:01.6681840Z     self.anchor_wh = self.anchor_wh.to(device)
2025-08-14T23:11:01.6682055Z 
2025-08-14T23:11:01.6682224Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:11:01.6682802Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:11:01.6683299Z     return mod(*inputs)
2025-08-14T23:11:01.6683714Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:11:01.6684172Z     return self.forward_once(x)
2025-08-14T23:11:01.6684626Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:11:01.6685126Z     yolo_out.append(module(x, out))
2025-08-14T23:11:01.6685575Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:11:01.6686042Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:11:01.6686522Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 205, in create_grids
2025-08-14T23:11:01.6687024Z     self.anchor_wh = self.anchor_wh.to(device)
2025-08-14T23:11:01.6687236Z 
2025-08-14T23:11:01.6687403Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:11:01.6687971Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:11:01.6688468Z     return mod(*inputs)
2025-08-14T23:11:01.6688870Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:11:01.6689333Z     return self.forward_once(x)
2025-08-14T23:11:01.6689787Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:11:01.6690281Z     yolo_out.append(module(x, out))
2025-08-14T23:11:01.6690724Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:11:01.6691197Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:11:01.6691682Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 205, in create_grids
2025-08-14T23:11:01.6692177Z     self.anchor_wh = self.anchor_wh.to(device)
2025-08-14T23:11:01.6692398Z 
2025-08-14T23:11:01.6692566Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:11:01.6693136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:11:01.6693630Z     return mod(*inputs)
2025-08-14T23:11:01.6694033Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:11:01.6694505Z     return self.forward_once(x)
2025-08-14T23:11:01.6694966Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:11:01.6695618Z     yolo_out.append(module(x, out))
2025-08-14T23:11:01.6696072Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:11:01.6696541Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:11:01.6697028Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 204, in create_grids
2025-08-14T23:11:01.6697532Z     self.anchor_vec = self.anchor_vec.to(device)
2025-08-14T23:11:01.6697759Z 
2025-08-14T23:11:01.6697909Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:11:01.6698466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:11:01.6698962Z     return mod(*inputs)
2025-08-14T23:11:01.6699370Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:11:01.6699828Z     return self.forward_once(x)
2025-08-14T23:11:01.6700362Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:11:01.6700849Z     yolo_out.append(module(x, out))
2025-08-14T23:11:01.6701295Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:11:01.6701758Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:11:01.6702236Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-14T23:11:01.6702753Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-14T23:11:01.6702985Z 
2025-08-14T23:11:01.6703153Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:11:01.6703720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:11:01.6704204Z     return mod(*inputs)
2025-08-14T23:11:01.6704612Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:11:01.6705070Z     return self.forward_once(x)
2025-08-14T23:11:01.6705527Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:11:01.6706012Z     yolo_out.append(module(x, out))
2025-08-14T23:11:01.6706460Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:11:01.6706925Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:11:01.6707407Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 204, in create_grids
2025-08-14T23:11:01.6707916Z     self.anchor_vec = self.anchor_vec.to(device)
2025-08-14T23:11:01.6708135Z 
2025-08-14T23:11:01.6708365Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:11:01.6708913Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:11:01.6709406Z     return mod(*inputs)
2025-08-14T23:11:01.6709814Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:11:01.6710270Z     return self.forward_once(x)
2025-08-14T23:11:01.6710735Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:11:01.6711265Z     yolo_out.append(module(x, out))
2025-08-14T23:11:01.6711712Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:11:01.6712173Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:11:01.6712653Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-14T23:11:01.6713166Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-14T23:11:01.6713393Z 
2025-08-14T23:11:01.6713556Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:11:01.6714136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:11:01.6714628Z     return mod(*inputs)
2025-08-14T23:11:01.6715036Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:11:01.6715499Z     return self.forward_once(x)
2025-08-14T23:11:01.6716040Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:11:01.6716526Z     yolo_out.append(module(x, out))
2025-08-14T23:11:01.6716969Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:11:01.6717438Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:11:01.6717922Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 204, in create_grids
2025-08-14T23:11:01.6718430Z     self.anchor_vec = self.anchor_vec.to(device)
2025-08-14T23:11:01.6718649Z 
2025-08-14T23:11:01.6718799Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:11:01.6719348Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:11:01.6719843Z     return mod(*inputs)
2025-08-14T23:11:01.6720244Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:11:01.6720787Z     return self.forward_once(x)
2025-08-14T23:11:01.6721248Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:11:01.6721732Z     yolo_out.append(module(x, out))
2025-08-14T23:11:01.6734545Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:11:01.6735175Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:11:01.6735845Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-14T23:11:01.6736621Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-14T23:11:01.6736958Z 
2025-08-14T23:11:01.7833658Z cudagraph partition into 2 partitions
2025-08-14T23:11:22.9194810Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:11:22.9198345Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:11:22.9198914Z     return mod(*inputs)
2025-08-14T23:11:22.9199390Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:11:22.9199911Z     return self.forward_once(x)
2025-08-14T23:11:22.9200374Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:11:22.9200881Z     yolo_out.append(module(x, out))
2025-08-14T23:11:22.9201344Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:11:22.9201830Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:11:22.9202321Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-14T23:11:22.9202851Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-14T23:11:22.9203090Z 
2025-08-14T23:11:22.9203255Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:11:22.9203814Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:11:22.9204318Z     return mod(*inputs)
2025-08-14T23:11:22.9204742Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:11:22.9205216Z     return self.forward_once(x)
2025-08-14T23:11:22.9205669Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:11:22.9206163Z     yolo_out.append(module(x, out))
2025-08-14T23:11:22.9206626Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:11:22.9207100Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:11:22.9207595Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-14T23:11:22.9208122Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-14T23:11:22.9208355Z 
2025-08-14T23:11:22.9208517Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:11:22.9209071Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:11:22.9209572Z     return mod(*inputs)
2025-08-14T23:11:22.9211058Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:11:22.9211530Z     return self.forward_once(x)
2025-08-14T23:11:22.9211994Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:11:22.9212492Z     yolo_out.append(module(x, out))
2025-08-14T23:11:22.9212944Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:11:22.9213426Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:11:22.9213922Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-14T23:11:22.9214450Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-14T23:11:22.9214683Z 
2025-08-14T23:11:23.0385696Z cudagraph partition into 2 partitions
2025-08-14T23:11:28.4584882Z Compilation time (from dynamo_timed): 41.695077341
2025-08-14T23:11:28.4585277Z pass
2025-08-14T23:11:28.4712167Z TIMING: _recursive_pre_grad_passes:0.02012 _recursive_joint_graph_passes:0.43891 _recursive_post_grad_passes:0.75028 async_compile.wait:1.0381 code_gen:11.82105 inductor_compile:19.84764 backend_compile:31.10788 gc:0.00089 entire_frame_compile:41.69508 cudagraphify.get_container:0.00218 total_wall_time:41.69508
2025-08-14T23:11:28.4715822Z STATS: call_* op count: 676 | FakeTensorMode.__torch_dispatch__:34675 | FakeTensor.__torch_dispatch__:25690 | ProxyTorchDispatchMode.__torch_dispatch__:14133
2025-08-14T23:11:28.4717394Z Dynamo produced 2 graphs covering 676 ops with 0 graph breaks (0 unique)
2025-08-14T23:11:31.9391806Z accuracy            pass_rate=82.22%
2025-08-14T23:11:31.9395016Z calls_captured      gmean=0.00x mean=297.356x
2025-08-14T23:11:31.9398680Z unique_graphs       gmean=0.00x mean=1.533x
2025-08-14T23:11:31.9402123Z graph_breaks        gmean=0.00x mean=0.889x
2025-08-14T23:11:31.9405517Z unique_graph_breaks gmean=0.00x mean=0.244x
2025-08-14T23:11:31.9409075Z autograd_captures   gmean=0.00x mean=0.000x
2025-08-14T23:11:31.9412452Z autograd_compiles   gmean=0.00x mean=0.000x
2025-08-14T23:11:31.9416351Z cudagraph_skips     gmean=nanx mean=-0.111x
2025-08-14T23:11:31.9416860Z compilation_latency mean=14.131 seconds
2025-08-14T23:11:33.5735682Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/dynamic_inductor_torchbench_inference.csv
2025-08-14T23:11:33.9104288Z llama_v2_7b_16h                     XFAIL
2025-08-14T23:11:33.9109154Z llava                               XFAIL
2025-08-14T23:11:33.9114750Z maml                                XFAIL
2025-08-14T23:11:33.9119770Z maml_omniglot                       PASS
2025-08-14T23:11:33.9125119Z microbench_unbacked_tolist_sum      PASS
2025-08-14T23:11:33.9130254Z mnasnet1_0                          PASS
2025-08-14T23:11:33.9135496Z mobilenet_v2                        PASS
2025-08-14T23:11:33.9140463Z mobilenet_v2_quantized_qat          XFAIL
2025-08-14T23:11:33.9146483Z mobilenet_v3_large                  PASS
2025-08-14T23:11:33.9152060Z moco                                PASS
2025-08-14T23:11:33.9157034Z moondream                           XFAIL
2025-08-14T23:11:33.9162070Z nanogpt                             PASS
2025-08-14T23:11:33.9167100Z nvidia_deeprecommender              PASS
2025-08-14T23:11:33.9172350Z opacus_cifar10                      PASS
2025-08-14T23:11:33.9177186Z phlippe_densenet                    PASS
2025-08-14T23:11:33.9182209Z phlippe_resnet                      PASS
2025-08-14T23:11:33.9187175Z pyhpc_equation_of_state             PASS
2025-08-14T23:11:33.9192744Z pyhpc_isoneutral_mixing             PASS
2025-08-14T23:11:33.9197638Z pyhpc_turbulent_kinetic_energy      PASS
2025-08-14T23:11:33.9202662Z pytorch_CycleGAN_and_pix2pix        PASS
2025-08-14T23:11:33.9207765Z pytorch_stargan                     PASS
2025-08-14T23:11:33.9212847Z pytorch_unet                        PASS
2025-08-14T23:11:33.9217936Z resnet152                           PASS
2025-08-14T23:11:33.9222783Z resnet18                            PASS
2025-08-14T23:11:33.9228028Z resnet50                            PASS
2025-08-14T23:11:33.9233049Z resnet50_quantized_qat              XFAIL
2025-08-14T23:11:33.9238205Z resnext50_32x4d                     PASS
2025-08-14T23:11:33.9243157Z sam                                 PASS
2025-08-14T23:11:33.9248320Z shufflenet_v2_x1_0                  PASS
2025-08-14T23:11:33.9253315Z soft_actor_critic                   PASS
2025-08-14T23:11:33.9258576Z speech_transformer                  PASS
2025-08-14T23:11:33.9263680Z squeezenet1_1                       PASS
2025-08-14T23:11:33.9268823Z stable_diffusion_text_encoder       PASS
2025-08-14T23:11:33.9273883Z stable_diffusion_unet               XFAIL
2025-08-14T23:11:33.9278879Z timm_efficientnet                   PASS
2025-08-14T23:11:33.9284216Z timm_regnet                         PASS
2025-08-14T23:11:33.9288943Z timm_resnest                        PASS
2025-08-14T23:11:33.9294025Z timm_vision_transformer             PASS
2025-08-14T23:11:33.9299325Z timm_vision_transformer_large       XFAIL
2025-08-14T23:11:33.9304058Z timm_vovnet                         PASS
2025-08-14T23:11:33.9309122Z torch_multimodal_clip               PASS
2025-08-14T23:11:33.9314493Z tts_angular                         PASS
2025-08-14T23:11:33.9319203Z vgg16                               PASS
2025-08-14T23:11:33.9324313Z vision_maskrcnn                     PASS
2025-08-14T23:11:33.9329353Z yolov3                              PASS
2025-08-14T23:11:33.9857531Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/dynamic_inductor_torchbench_inference.csv
2025-08-14T23:11:34.3260116Z llama_v2_7b_16h                     PASS
2025-08-14T23:11:34.3264172Z llava                               PASS
2025-08-14T23:11:34.3268337Z maml                                PASS
2025-08-14T23:11:34.3273433Z maml_omniglot                       PASS
2025-08-14T23:11:34.3277958Z microbench_unbacked_tolist_sum      PASS
2025-08-14T23:11:34.3282709Z mnasnet1_0                          PASS
2025-08-14T23:11:34.3287541Z mobilenet_v2                        PASS
2025-08-14T23:11:34.3292169Z mobilenet_v2_quantized_qat          PASS
2025-08-14T23:11:34.3297058Z mobilenet_v3_large                  PASS
2025-08-14T23:11:34.3301536Z moco                                PASS
2025-08-14T23:11:34.3306255Z moondream                           PASS
2025-08-14T23:11:34.3311066Z nanogpt                             PASS
2025-08-14T23:11:34.3315594Z nvidia_deeprecommender              PASS
2025-08-14T23:11:34.3320097Z opacus_cifar10                      PASS
2025-08-14T23:11:34.3324824Z phlippe_densenet                    PASS
2025-08-14T23:11:34.3329533Z phlippe_resnet                      PASS
2025-08-14T23:11:34.3334210Z pyhpc_equation_of_state             PASS
2025-08-14T23:11:34.3338870Z pyhpc_isoneutral_mixing             PASS
2025-08-14T23:11:34.3344342Z pyhpc_turbulent_kinetic_energy      PASS
2025-08-14T23:11:34.3349041Z pytorch_CycleGAN_and_pix2pix        PASS
2025-08-14T23:11:34.3353715Z pytorch_stargan                     PASS
2025-08-14T23:11:34.3358363Z pytorch_unet                        PASS
2025-08-14T23:11:34.3363015Z resnet152                           PASS
2025-08-14T23:11:34.3367639Z resnet18                            PASS
2025-08-14T23:11:34.3372357Z resnet50                            PASS
2025-08-14T23:11:34.3376977Z resnet50_quantized_qat              PASS
2025-08-14T23:11:34.3381604Z resnext50_32x4d                     PASS
2025-08-14T23:11:34.3386253Z sam                                 PASS
2025-08-14T23:11:34.3391133Z shufflenet_v2_x1_0                  PASS
2025-08-14T23:11:34.3395691Z soft_actor_critic                   PASS
2025-08-14T23:11:34.3400270Z speech_transformer                  PASS
2025-08-14T23:11:34.3404850Z squeezenet1_1                       PASS
2025-08-14T23:11:34.3409476Z stable_diffusion_text_encoder       PASS
2025-08-14T23:11:34.3414114Z stable_diffusion_unet               PASS
2025-08-14T23:11:34.3419090Z timm_efficientnet                   PASS
2025-08-14T23:11:34.3423361Z timm_regnet                         PASS
2025-08-14T23:11:34.3427985Z timm_resnest                        PASS
2025-08-14T23:11:34.3432831Z timm_vision_transformer             PASS
2025-08-14T23:11:34.3437401Z timm_vision_transformer_large       PASS
2025-08-14T23:11:34.3442056Z timm_vovnet                         PASS
2025-08-14T23:11:34.3446912Z torch_multimodal_clip               PASS
2025-08-14T23:11:34.3451490Z tts_angular                         PASS
2025-08-14T23:11:34.3456086Z vgg16                               PASS
2025-08-14T23:11:34.3460622Z vision_maskrcnn                     PASS
2025-08-14T23:11:34.3465400Z yolov3                              PASS_BUT_FLAKY
2025-08-14T23:11:34.3994242Z + test_single_dynamo_benchmark training torchbench 1 --training --amp
2025-08-14T23:11:34.3998500Z ++ pwd
2025-08-14T23:11:34.4001536Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-08-14T23:11:34.4001980Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-08-14T23:11:34.4041155Z + local name=training
2025-08-14T23:11:34.4041743Z + shift
2025-08-14T23:11:34.4042054Z + local suite=torchbench
2025-08-14T23:11:34.4042390Z + shift
2025-08-14T23:11:34.4042646Z + local shard_id=1
2025-08-14T23:11:34.4042935Z + shift
2025-08-14T23:11:34.4043225Z + partition_flags=()
2025-08-14T23:11:34.4043557Z + local partition_flags
2025-08-14T23:11:34.4043871Z + [[ -n 2 ]]
2025-08-14T23:11:34.4044070Z + [[ -n 1 ]]
2025-08-14T23:11:34.4044438Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id")
2025-08-14T23:11:34.4044931Z + [[ dynamic_inductor_torchbench == *perf_compare* ]]
2025-08-14T23:11:34.4045284Z + [[ dynamic_inductor_torchbench == *perf* ]]
2025-08-14T23:11:34.4045604Z + [[ dynamic_inductor_torchbench == *_avx2* ]]
2025-08-14T23:11:34.4045923Z + [[ dynamic_inductor_torchbench == *_avx512* ]]
2025-08-14T23:11:34.4047198Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --dynamic-shapes --dynamic-batch-only --device cuda --training --amp --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/training_torchbench.csv
2025-08-14T23:11:41.0159161Z 
2025-08-14T23:11:41.5484177Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:11:41.5484562Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:11:41.5484860Z cuda train llava                              
2025-08-14T23:11:41.5491328Z Traceback (most recent call last):
2025-08-14T23:11:41.5491900Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T23:11:41.5492359Z     ) = runner.load_model(
2025-08-14T23:11:41.5492822Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 325, in load_model
2025-08-14T23:11:41.5493320Z     benchmark = benchmark_cls(
2025-08-14T23:11:41.5493700Z   File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__
2025-08-14T23:11:41.5494168Z     obj = type.__call__(cls, *args, **kwargs)
2025-08-14T23:11:41.5494624Z   File "/torchbench/torchbenchmark/models/llava/__init__.py", line 12, in __init__
2025-08-14T23:11:41.5495055Z     super().__init__(
2025-08-14T23:11:41.5495539Z   File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__
2025-08-14T23:11:41.5496062Z     super().__init__(
2025-08-14T23:11:41.5496420Z   File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__
2025-08-14T23:11:41.5496824Z     self._skip_by_device_name()
2025-08-14T23:11:41.5497264Z   File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name
2025-08-14T23:11:41.5497736Z     raise NotImplementedError(
2025-08-14T23:11:41.5498203Z NotImplementedError: The current device NVIDIA A10G is skipped by its `llava/metadata.yaml`.
2025-08-14T23:11:41.5498611Z 
2025-08-14T23:11:41.5498695Z model_fail_to_load
2025-08-14T23:11:45.7355759Z 
2025-08-14T23:11:46.6070392Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:11:46.6071141Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:11:46.6071459Z cuda train maml_omniglot                      
2025-08-14T23:12:05.7004226Z W0814 23:12:05.699000 26195 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:12:09.6880125Z Compilation time (from dynamo_timed): 21.71172404
2025-08-14T23:12:09.6880936Z pass
2025-08-14T23:12:09.6885261Z TIMING: gc:0.00356 entire_frame_compile:21.71172 _recursive_pre_grad_passes:0.00897 pad_mm_benchmark:0.41968 _recursive_joint_graph_passes:0.63298 _recursive_post_grad_passes:0.06965 async_compile.wait:1.7775 code_gen:7.58031 inductor_compile:9.32062 backend_compile:14.14102 cudagraphify.get_container:0.00295 CUDAGraphNode.record:0.00721 total_wall_time:21.71172
2025-08-14T23:12:09.6887191Z STATS: call_* op count: 107 | FakeTensor.__torch_dispatch__:2659 | FakeTensorMode.__torch_dispatch__:4857 | attempt fast:84 | fast is_contiguous:84 | ProxyTorchDispatchMode.__torch_dispatch__:1641
2025-08-14T23:12:09.6888496Z Dynamo produced 3 graphs covering 107 ops with 7 graph breaks (5 unique)
2025-08-14T23:12:15.5057765Z 
2025-08-14T23:12:15.8350867Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:12:15.8351437Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:12:15.8351915Z cuda train microbench_unbacked_tolist_sum     
2025-08-14T23:12:23.5617516Z W0814 23:12:23.560000 26928 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting:
2025-08-14T23:12:23.5618501Z W0814 23:12:23.560000 26928 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-14T23:12:23.5619306Z W0814 23:12:23.560000 26928 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or:
2025-08-14T23:12:23.5620115Z W0814 23:12:23.560000 26928 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-14T23:12:23.5621052Z W0814 23:12:23.560000 26928 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph.
2025-08-14T23:12:23.5621806Z W0814 23:12:23.560000 26928 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 
2025-08-14T23:12:23.5622507Z W0814 23:12:23.560000 26928 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at:
2025-08-14T23:12:23.5623722Z W0814 23:12:23.560000 26928 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:12:23.5624954Z W0814 23:12:23.560000 26928 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0]     pred = mod(*cloned_inputs)
2025-08-14T23:12:23.5626039Z W0814 23:12:23.560000 26928 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0]   File "/torchbench/torchbenchmark/models/microbench_unbacked_tolist_sum/__init__.py", line 18, in forward
2025-08-14T23:12:23.5627099Z W0814 23:12:23.560000 26928 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0]     sum += tv[i].item()
2025-08-14T23:12:23.5627761Z W0814 23:12:23.560000 26928 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 
2025-08-14T23:12:23.5628434Z W0814 23:12:23.560000 26928 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 
2025-08-14T23:12:28.9273337Z W0814 23:12:28.926000 26928 site-packages/torch/_logging/_internal.py:1199] [9/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:12:29.6363801Z Compilation time (from dynamo_timed): 12.46138992
2025-08-14T23:12:29.6364274Z pass
2025-08-14T23:12:29.6366495Z TIMING: gc:0.00597 entire_frame_compile:12.46139 _recursive_pre_grad_passes:0.00697 _recursive_joint_graph_passes:0.16191 inductor_compile:0.31111 backend_compile:1.45626 _recursive_post_grad_passes:0.02262 async_compile.precompile:0.16007 async_compile.wait:0.00017 code_gen:0.22172 cudagraphify.get_container:0.00221 CUDAGraphNode.record:0.00095 total_wall_time:12.46139
2025-08-14T23:12:29.6369021Z STATS: call_* op count: 30 | FakeTensor.__torch_dispatch__:3132 | FakeTensorMode.__torch_dispatch__:11564 | ProxyTorchDispatchMode.__torch_dispatch__:93
2025-08-14T23:12:29.6370078Z Dynamo produced 4 graphs covering 30 ops with 8 graph breaks (6 unique)
2025-08-14T23:12:37.9693679Z 
2025-08-14T23:12:40.6506782Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:12:40.6507118Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:12:40.6507403Z cuda train mnasnet1_0                         
2025-08-14T23:14:57.3892268Z W0814 23:14:57.388000 27138 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:15:30.8987591Z Compilation time (from dynamo_timed): 167.053660591
2025-08-14T23:15:30.9006884Z pass
2025-08-14T23:15:30.9038106Z TIMING: gc:0.00497 entire_frame_compile:167.05366 _recursive_pre_grad_passes:0.02902 pad_mm_benchmark:0.00167 _recursive_joint_graph_passes:0.65511 _recursive_post_grad_passes:0.64543 async_compile.wait:2.19698 code_gen:18.18622 inductor_compile:118.74188 backend_compile:145.67372 cudagraphify.get_container:0.00316 CUDAGraphNode.record:0.13732 total_wall_time:167.05366
2025-08-14T23:15:30.9040346Z STATS: call_* op count: 965 | FakeTensorMode.__torch_dispatch__:43209 | attempt fast:350 | fast is_contiguous:350 | FakeTensor.__torch_dispatch__:32389 | ProxyTorchDispatchMode.__torch_dispatch__:18737
2025-08-14T23:15:30.9041264Z Dynamo produced 3 graphs covering 965 ops with 7 graph breaks (5 unique)
2025-08-14T23:15:39.8182855Z 
2025-08-14T23:15:41.8169587Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:15:41.8169914Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:15:41.8170226Z cuda train mobilenet_v2                       
2025-08-14T23:17:55.8517437Z Compilation time (from dynamo_timed): 131.310703038
2025-08-14T23:17:55.8537849Z pass
2025-08-14T23:17:55.8593735Z TIMING: gc:0.00425 entire_frame_compile:131.3107 _recursive_pre_grad_passes:0.00936 pad_mm_benchmark:0.00163 _recursive_joint_graph_passes:0.54956 _recursive_post_grad_passes:0.71168 async_compile.wait:0.29634 code_gen:9.62011 inductor_compile:93.979 backend_compile:115.07617 cudagraphify.get_container:0.00305 CachingAutotuner.benchmark_all_configs:0.03379 CUDAGraphNode.record:0.06198 total_wall_time:131.3107
2025-08-14T23:17:55.8595813Z STATS: call_* op count: 157 | FakeTensorMode.__torch_dispatch__:26461 | attempt fast:332 | fast is_contiguous:332 | FakeTensor.__torch_dispatch__:20216 | ProxyTorchDispatchMode.__torch_dispatch__:10380
2025-08-14T23:17:55.8596742Z Dynamo produced 2 graphs covering 157 ops with 6 graph breaks (5 unique)
2025-08-14T23:18:04.2208914Z 
2025-08-14T23:18:06.1705990Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:18:06.1706691Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:18:06.1707326Z cuda train mobilenet_v2_quantized_qat         
2025-08-14T23:18:06.1708045Z Traceback (most recent call last):
2025-08-14T23:18:06.1708660Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1963, in validate_model
2025-08-14T23:18:06.1709198Z     self.model_iter_fn(model, example_inputs)
2025-08-14T23:18:06.1709805Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in forward_and_backward_pass
2025-08-14T23:18:06.1710389Z     pred = mod(*cloned_inputs)
2025-08-14T23:18:06.1710946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 837, in call_wrapped
2025-08-14T23:18:06.1711560Z     return self._wrapped_call(self, *args, **kwargs)
2025-08-14T23:18:06.1712142Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 413, in __call__
2025-08-14T23:18:06.1712666Z     raise e
2025-08-14T23:18:06.1713117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 400, in __call__
2025-08-14T23:18:06.1713789Z     return super(self.cls, obj).__call__(*args, **kwargs)  # type: ignore[misc]
2025-08-14T23:18:06.1714938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
2025-08-14T23:18:06.1715567Z     return self._call_impl(*args, **kwargs)
2025-08-14T23:18:06.1716143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
2025-08-14T23:18:06.1716725Z     return forward_call(*args, **kwargs)
2025-08-14T23:18:06.1717045Z   File "<eval_with_key>.3", line 207, in forward
2025-08-14T23:18:06.1717566Z     activation_post_process_101 = self.activation_post_process_101(classifier_1);  classifier_1 = None
2025-08-14T23:18:06.1718381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
2025-08-14T23:18:06.1718997Z     return self._call_impl(*args, **kwargs)
2025-08-14T23:18:06.1719561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
2025-08-14T23:18:06.1720310Z     return forward_call(*args, **kwargs)
2025-08-14T23:18:06.1720919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fake_quantize.py", line 411, in forward
2025-08-14T23:18:06.1721563Z     return torch.fused_moving_avg_obs_fake_quant(
2025-08-14T23:18:06.1721949Z RuntimeError: expected scalar type Float but found Half
2025-08-14T23:18:06.1722218Z 
2025-08-14T23:18:06.1722425Z The above exception was the direct cause of the following exception:
2025-08-14T23:18:06.1722727Z 
2025-08-14T23:18:06.1722839Z Traceback (most recent call last):
2025-08-14T23:18:06.1723298Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T23:18:06.1723757Z     ) = runner.load_model(
2025-08-14T23:18:06.1724398Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model
2025-08-14T23:18:06.1724932Z     self.validate_model(model, example_inputs)
2025-08-14T23:18:06.1725461Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1965, in validate_model
2025-08-14T23:18:06.1726002Z     raise RuntimeError("Eager run failed") from e
2025-08-14T23:18:06.1726332Z RuntimeError: Eager run failed
2025-08-14T23:18:06.1726510Z 
2025-08-14T23:18:06.1726603Z eager_fail_to_run
2025-08-14T23:18:10.5270841Z 
2025-08-14T23:18:12.9178191Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:18:12.9178530Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:18:12.9178841Z cuda train mobilenet_v3_large                 
2025-08-14T23:21:13.1737152Z W0814 23:21:13.172000 30623 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:21:51.0989549Z E0814 23:21:51.098000 30623 site-packages/torch/_dynamo/utils.py:3104] RMSE (res-fp64): 0.02390, (ref-fp64): 0.00603 and shape=torch.Size([672]). res.dtype: torch.float32, multiplier: 3.000000, tol: 0.001000, use_larger_multiplier_for_smaller_tensor: 0
2025-08-14T23:21:51.0993495Z E0814 23:21:51.098000 30623 site-packages/torch/_dynamo/utils.py:2965] Accuracy failed for key name features.12.block.2.fc2.bias.grad
2025-08-14T23:21:51.1253081Z Compilation time (from dynamo_timed): 214.908173024
2025-08-14T23:21:51.1275105Z pass
2025-08-14T23:21:51.1315909Z TIMING: gc:0.00652 entire_frame_compile:214.90817 _recursive_pre_grad_passes:0.03143 pad_mm_benchmark:0.00329 _recursive_joint_graph_passes:0.79553 _recursive_post_grad_passes:0.90522 async_compile.wait:2.75762 code_gen:23.24919 inductor_compile:150.66774 backend_compile:186.79372 cudagraphify.get_container:0.004 CUDAGraphNode.record:0.16892 total_wall_time:214.90817
2025-08-14T23:21:51.1317811Z STATS: call_* op count: 1080 | FakeTensorMode.__torch_dispatch__:50672 | attempt fast:489 | fast is_contiguous:489 | FakeTensor.__torch_dispatch__:39573 | ProxyTorchDispatchMode.__torch_dispatch__:20796
2025-08-14T23:21:51.1318738Z Dynamo produced 3 graphs covering 1080 ops with 7 graph breaks (5 unique)
2025-08-14T23:22:01.5596185Z 
2025-08-14T23:22:03.9863983Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:22:03.9864308Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:22:03.9864609Z cuda train moco                               
2025-08-14T23:22:12.0651268Z [rank0]:W0814 23:22:12.064000 33376 site-packages/torch/_logging/_internal.py:1199] [2/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:22:26.7430634Z [rank0]:W0814 23:22:26.742000 33376 site-packages/torch/_dynamo/backends/distributed.py:106] [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.
2025-08-14T23:22:26.7695856Z [rank0]:W0814 23:22:26.768000 33376 site-packages/torch/_dynamo/backends/distributed.py:123] [6/0_1] DDPOptimizer extended these buckets to ensure per-subgraph output nodes:
2025-08-14T23:22:26.7697322Z [rank0]:W0814 23:22:26.768000 33376 site-packages/torch/_dynamo/backends/distributed.py:123] [6/0_1] ┌─────────┬─────────────┬────────────────────────┐
2025-08-14T23:22:26.7698399Z [rank0]:W0814 23:22:26.768000 33376 site-packages/torch/_dynamo/backends/distributed.py:123] [6/0_1] │   Index │   Extra Ops │   Extra Param Size (b) │
2025-08-14T23:22:26.7699495Z [rank0]:W0814 23:22:26.768000 33376 site-packages/torch/_dynamo/backends/distributed.py:123] [6/0_1] ├─────────┼─────────────┼────────────────────────┤
2025-08-14T23:22:26.7700540Z [rank0]:W0814 23:22:26.768000 33376 site-packages/torch/_dynamo/backends/distributed.py:123] [6/0_1] │       0 │         480 │               94032128 │
2025-08-14T23:22:26.7701605Z [rank0]:W0814 23:22:26.768000 33376 site-packages/torch/_dynamo/backends/distributed.py:123] [6/0_1] └─────────┴─────────────┴────────────────────────┘
2025-08-14T23:23:24.7174757Z [rank0]:W0814 23:23:24.716000 33376 site-packages/torch/fx/experimental/symbolic_shapes.py:6838] [9/0] _maybe_guard_rel() was called on non-relation expression Eq(s85, 1) | Eq(s85, s87)
2025-08-14T23:23:25.1561426Z [rank0]:W0814 23:23:25.155000 33376 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] Graph break from `Tensor.item()`, consider setting:
2025-08-14T23:23:25.1564998Z [rank0]:W0814 23:23:25.155000 33376 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-14T23:23:25.1567353Z [rank0]:W0814 23:23:25.155000 33376 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] or:
2025-08-14T23:23:25.1568400Z [rank0]:W0814 23:23:25.155000 33376 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-14T23:23:25.1569332Z [rank0]:W0814 23:23:25.155000 33376 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] to include these operations in the captured graph.
2025-08-14T23:23:25.1570147Z [rank0]:W0814 23:23:25.155000 33376 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] 
2025-08-14T23:23:25.1570877Z [rank0]:W0814 23:23:25.155000 33376 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] Graph break: from user code at:
2025-08-14T23:23:25.1572025Z [rank0]:W0814 23:23:25.155000 33376 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0]   File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 167, in torch_dynamo_resume_in_forward_at_142
2025-08-14T23:23:25.1573165Z [rank0]:W0814 23:23:25.155000 33376 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0]     self._dequeue_and_enqueue(k)
2025-08-14T23:23:25.1574319Z [rank0]:W0814 23:23:25.155000 33376 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
2025-08-14T23:23:25.1575687Z [rank0]:W0814 23:23:25.155000 33376 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0]     return func(*args, **kwargs)
2025-08-14T23:23:25.1576772Z [rank0]:W0814 23:23:25.155000 33376 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0]   File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 68, in _dequeue_and_enqueue
2025-08-14T23:23:25.1577844Z [rank0]:W0814 23:23:25.155000 33376 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0]     ptr = int(self.queue_ptr)
2025-08-14T23:23:25.1578568Z [rank0]:W0814 23:23:25.155000 33376 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] 
2025-08-14T23:23:25.1579181Z [rank0]:W0814 23:23:25.155000 33376 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] 
2025-08-14T23:23:29.7873697Z [rank0]:W0814 23:23:29.786000 33376 site-packages/torch/fx/experimental/symbolic_shapes.py:6838] [9/0_1] _maybe_guard_rel() was called on non-relation expression Eq(s85, 1) | Eq(s85, s87)
2025-08-14T23:23:57.3780390Z Compilation time (from dynamo_timed): 105.837208614
2025-08-14T23:23:57.3827098Z pass
2025-08-14T23:23:57.4210256Z TIMING: gc:0.01163 entire_frame_compile:105.83721 _recursive_pre_grad_passes:0.11151 _recursive_joint_graph_passes:1.06158 inductor_compile:34.6936 backend_compile:68.21456 _recursive_post_grad_passes:0.97207 async_compile.wait:2.11651 code_gen:17.07691 pad_mm_benchmark:0.00339 cudagraphify.get_container:0.00977 CachingAutotuner.benchmark_all_configs:0.10887 CUDAGraphNode.record:0.09131 total_wall_time:105.83721
2025-08-14T23:23:57.4212460Z STATS: call_* op count: 889 | FakeTensorMode.__torch_dispatch__:50649 | ProxyTorchDispatchMode.__torch_dispatch__:20269 | attempt fast:406 | fast is_contiguous:396 | FakeTensor.__torch_dispatch__:31489 | slow no contiguity match:10
2025-08-14T23:23:57.4213502Z Dynamo produced 10 graphs covering 889 ops with 13 graph breaks (9 unique)
2025-08-14T23:24:00.9889355Z [rank0]:[W814 23:24:00.984265261 ProcessGroupNCCL.cpp:1519] 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())
2025-08-14T23:24:08.3377588Z 
2025-08-14T23:24:10.2389794Z loading model: 0it [00:00, ?it/s]number of parameters: 123.69M
2025-08-14T23:24:10.4819740Z num decayed parameter tensors: 50, with 124,354,560 parameters
2025-08-14T23:24:10.4820235Z num non-decayed parameter tensors: 98, with 121,344 parameters
2025-08-14T23:24:10.4822699Z using fused AdamW: True
2025-08-14T23:24:11.0319854Z 
2025-08-14T23:24:11.0320404Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:24:11.0320747Z cuda train nanogpt                            
2025-08-14T23:25:01.9543299Z 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 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:25:01.9544393Z     pred = mod(*cloned_inputs)
2025-08-14T23:25:01.9544868Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 240, in forward
2025-08-14T23:25:01.9545307Z     x[:, [-1], :]
2025-08-14T23:25:01.9545447Z 
2025-08-14T23:25:01.9545452Z 
2025-08-14T23:25:03.9447638Z W0814 23:25:03.943000 35815 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:25:32.3623819Z Compilation time (from dynamo_timed): 78.516134493
2025-08-14T23:25:32.3640903Z pass
2025-08-14T23:25:32.4295739Z TIMING: gc:0.00601 entire_frame_compile:78.51613 _recursive_pre_grad_passes:0.02906 pad_mm_benchmark:0.07436 _recursive_joint_graph_passes:1.41969 _recursive_post_grad_passes:1.86804 async_compile.wait:2.14135 code_gen:16.03921 inductor_compile:33.27748 backend_compile:61.2347 cudagraphify.get_container:0.03899 CUDAGraphNode.record:0.02629 total_wall_time:78.51613
2025-08-14T23:25:32.4300059Z STATS: call_* op count: 1156 | FakeTensorMode.__torch_dispatch__:47689 | attempt fast:119 | fast is_contiguous:119 | FakeTensor.__torch_dispatch__:30856 | ProxyTorchDispatchMode.__torch_dispatch__:20475
2025-08-14T23:25:32.4301986Z Dynamo produced 3 graphs covering 1156 ops with 7 graph breaks (5 unique)
2025-08-14T23:25:41.1083331Z 
2025-08-14T23:25:43.6839928Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:25:43.6840400Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:25:43.6840789Z cuda train nvidia_deeprecommender             
2025-08-14T23:25:54.6281862Z W0814 23:25:54.627000 36613 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:25:58.0329128Z Compilation time (from dynamo_timed): 12.307213253
2025-08-14T23:25:58.0329832Z pass
2025-08-14T23:25:58.0599430Z TIMING: gc:0.00377 entire_frame_compile:12.30721 _recursive_pre_grad_passes:0.00841 pad_mm_benchmark:0.49724 _recursive_joint_graph_passes:0.80446 _recursive_post_grad_passes:0.08953 async_compile.wait:1.35068 code_gen:2.71349 inductor_compile:4.23693 backend_compile:7.74983 cudagraphify.get_container:0.01525 CUDAGraphNode.record:0.00709 total_wall_time:12.30721
2025-08-14T23:25:58.0601781Z STATS: call_* op count: 96 | FakeTensorMode.__torch_dispatch__:4244 | attempt fast:45 | fast is_contiguous:45 | FakeTensor.__torch_dispatch__:2713 | ProxyTorchDispatchMode.__torch_dispatch__:1587
2025-08-14T23:25:58.0602689Z Dynamo produced 3 graphs covering 96 ops with 7 graph breaks (5 unique)
2025-08-14T23:26:03.6890514Z 
2025-08-14T23:26:04.7893259Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:26:04.7893604Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:26:04.7893913Z cuda train opacus_cifar10                     
2025-08-14T23:26:04.7909430Z Traceback (most recent call last):
2025-08-14T23:26:04.7909967Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1963, in validate_model
2025-08-14T23:26:04.7910499Z     self.model_iter_fn(model, example_inputs)
2025-08-14T23:26:04.7911096Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 493, in forward_and_backward_pass
2025-08-14T23:26:04.7911924Z     self.grad_scaler.scale(loss).backward()
2025-08-14T23:26:04.7912621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 625, in backward
2025-08-14T23:26:04.7913218Z     torch.autograd.backward(
2025-08-14T23:26:04.7913748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 354, in backward
2025-08-14T23:26:04.7914279Z     _engine_run_backward(
2025-08-14T23:26:04.7914830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 841, in _engine_run_backward
2025-08-14T23:26:04.7915637Z     return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2025-08-14T23:26:04.7916396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 88, in __call__
2025-08-14T23:26:04.7916955Z     return self.hook(module, *args, **kwargs)
2025-08-14T23:26:04.7917639Z   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
2025-08-14T23:26:04.7918372Z     activations, backprops = self.rearrange_grad_samples(
2025-08-14T23:26:04.7919081Z   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
2025-08-14T23:26:04.7919729Z     raise ValueError(
2025-08-14T23:26:04.7920252Z ValueError: No activations detected for <class 'torch.nn.modules.linear.Linear'>, run forward after add_hooks(model)
2025-08-14T23:26:04.7920722Z 
2025-08-14T23:26:04.7920930Z The above exception was the direct cause of the following exception:
2025-08-14T23:26:04.7921226Z 
2025-08-14T23:26:04.7921327Z Traceback (most recent call last):
2025-08-14T23:26:04.7921773Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T23:26:04.7922223Z     ) = runner.load_model(
2025-08-14T23:26:04.7922990Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model
2025-08-14T23:26:04.7923526Z     self.validate_model(model, example_inputs)
2025-08-14T23:26:04.7924050Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1965, in validate_model
2025-08-14T23:26:04.7924587Z     raise RuntimeError("Eager run failed") from e
2025-08-14T23:26:04.7924909Z RuntimeError: Eager run failed
2025-08-14T23:26:04.7925092Z 
2025-08-14T23:26:04.7925175Z eager_fail_to_run
2025-08-14T23:26:09.1456440Z 
2025-08-14T23:26:10.1283108Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:26:10.1283463Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:26:10.1283775Z cuda train phlippe_densenet                   
2025-08-14T23:27:14.0907231Z Compilation time (from dynamo_timed): 62.184285415
2025-08-14T23:27:14.0927585Z pass
2025-08-14T23:27:14.0934469Z TIMING: gc:0.00417 entire_frame_compile:62.18429 _recursive_pre_grad_passes:0.01053 pad_mm_benchmark:0.23982 _recursive_joint_graph_passes:0.92673 _recursive_post_grad_passes:0.63722 async_compile.wait:0.29561 code_gen:10.5191 inductor_compile:22.87385 backend_compile:44.96241 cudagraphify.get_container:0.00273 CUDAGraphNode.record:0.06173 total_wall_time:62.18429
2025-08-14T23:27:14.0938060Z STATS: call_* op count: 190 | FakeTensorMode.__torch_dispatch__:27972 | attempt fast:439 | fast is_contiguous:415 | FakeTensor.__torch_dispatch__:16986 | ProxyTorchDispatchMode.__torch_dispatch__:11251 | slow no contiguity match:24
2025-08-14T23:27:14.0939093Z Dynamo produced 2 graphs covering 190 ops with 6 graph breaks (5 unique)
2025-08-14T23:27:23.4195504Z 
2025-08-14T23:27:24.2358882Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:27:24.2359287Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:27:24.2359692Z cuda train phlippe_resnet                     
2025-08-14T23:27:45.4728512Z Compilation time (from dynamo_timed): 19.802499198
2025-08-14T23:27:45.4735525Z pass
2025-08-14T23:27:45.4737147Z TIMING: gc:0.00348 entire_frame_compile:19.8025 _recursive_pre_grad_passes:0.00609 pad_mm_benchmark:0.23875 _recursive_joint_graph_passes:0.81558 _recursive_post_grad_passes:0.21874 async_compile.wait:0.0939 code_gen:3.12601 inductor_compile:6.35708 backend_compile:13.18197 cudagraphify.get_container:0.00268 CUDAGraphNode.record:0.01694 total_wall_time:19.8025
2025-08-14T23:27:45.4739303Z STATS: call_* op count: 75 | FakeTensorMode.__torch_dispatch__:9707 | attempt fast:79 | fast is_contiguous:79 | FakeTensor.__torch_dispatch__:6313 | ProxyTorchDispatchMode.__torch_dispatch__:4232
2025-08-14T23:27:45.4740292Z Dynamo produced 2 graphs covering 75 ops with 6 graph breaks (5 unique)
2025-08-14T23:27:51.5493232Z 
2025-08-14T23:27:52.8576609Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:27:52.8576953Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:27:52.8577258Z cuda train pytorch_CycleGAN_and_pix2pix       
2025-08-14T23:28:20.2126572Z Compilation time (from dynamo_timed): 21.03146812
2025-08-14T23:28:20.2131766Z pass
2025-08-14T23:28:20.2235037Z TIMING: gc:0.00385 entire_frame_compile:11.51661 _recursive_pre_grad_passes:0.00559 _recursive_joint_graph_passes:0.43189 _recursive_post_grad_passes:0.318 async_compile.wait:2.06268 code_gen:9.13564 inductor_compile:13.11975 backend_compile:9.42088 cudagraphify.get_container:0.00635 CachingAutotuner.benchmark_all_configs:0.6565 entire_backward_compile:9.51486 CUDAGraphNode.record:0.01737 total_wall_time:21.03147
2025-08-14T23:28:20.2238266Z STATS: call_* op count: 95 | FakeTensorMode.__torch_dispatch__:14329 | FakeTensor.__torch_dispatch__:12428 | ProxyTorchDispatchMode.__torch_dispatch__:7141
2025-08-14T23:28:20.2239409Z Dynamo produced 2 graphs covering 95 ops with 6 graph breaks (5 unique)
2025-08-14T23:28:26.2698294Z 
2025-08-14T23:28:27.8590961Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:28:27.8591360Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:28:27.8591662Z cuda train pytorch_stargan                    
2025-08-14T23:29:19.5237528Z Compilation time (from dynamo_timed): 34.121194612
2025-08-14T23:29:19.5243604Z pass
2025-08-14T23:29:19.5326223Z TIMING: gc:0.0033 entire_frame_compile:34.12119 _recursive_pre_grad_passes:0.00567 _recursive_joint_graph_passes:0.67673 _recursive_post_grad_passes:0.21172 async_compile.wait:0.10712 code_gen:4.25567 inductor_compile:10.37475 backend_compile:25.24325 cudagraphify.get_container:0.00588 CUDAGraphNode.record:0.01684 total_wall_time:34.12119
2025-08-14T23:29:19.5328048Z STATS: call_* op count: 60 | FakeTensorMode.__torch_dispatch__:13519 | FakeTensor.__torch_dispatch__:6661 | attempt fast:134 | fast is_contiguous:134 | ProxyTorchDispatchMode.__torch_dispatch__:5363
2025-08-14T23:29:19.5328953Z Dynamo produced 2 graphs covering 60 ops with 6 graph breaks (5 unique)
2025-08-14T23:29:26.6566032Z 
2025-08-14T23:29:27.7448107Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:29:27.7448449Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:29:27.7448756Z cuda train pytorch_unet                       
2025-08-14T23:30:31.1471238Z W0814 23:30:31.146000 41478 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:30:46.5620018Z Compilation time (from dynamo_timed): 53.70184931
2025-08-14T23:30:46.5622642Z pass_due_to_skip
2025-08-14T23:30:46.5711006Z TIMING: gc:0.00481 entire_frame_compile:53.70185 _recursive_pre_grad_passes:0.01742 _recursive_joint_graph_passes:0.41792 _recursive_post_grad_passes:0.34622 async_compile.wait:3.83203 code_gen:18.83327 inductor_compile:27.45438 backend_compile:42.26937 cudagraphify.get_container:0.00472 CachingAutotuner.benchmark_all_configs:3.96841 CUDAGraphNode.record:0.04404 total_wall_time:53.70185
2025-08-14T23:30:46.5713665Z STATS: call_* op count: 464 | FakeTensorMode.__torch_dispatch__:23143 | attempt fast:284 | fast is_contiguous:276 | FakeTensor.__torch_dispatch__:16243 | ProxyTorchDispatchMode.__torch_dispatch__:9646 | slow no contiguity match:8
2025-08-14T23:30:46.5714698Z Dynamo produced 3 graphs covering 464 ops with 7 graph breaks (5 unique)
2025-08-14T23:30:53.7884902Z 
2025-08-14T23:30:57.1334489Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:30:57.1334817Z loading model: 0it [00:03, ?it/s]
2025-08-14T23:30:57.1335104Z cuda train resnet152                          
2025-08-14T23:32:59.0721801Z W0814 23:32:59.071000 44290 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:34:55.3035698Z Compilation time (from dynamo_timed): 226.631084181
2025-08-14T23:34:55.3092243Z pass
2025-08-14T23:34:55.3478050Z TIMING: gc:0.00692 entire_frame_compile:226.63108 _recursive_pre_grad_passes:0.07722 pad_mm_benchmark:0.00174 _recursive_joint_graph_passes:1.69928 _recursive_post_grad_passes:1.94107 async_compile.wait:4.7592 code_gen:49.09918 inductor_compile:102.38009 backend_compile:175.34469 cudagraphify.get_container:0.02478 CachingAutotuner.benchmark_all_configs:0.15414 CUDAGraphNode.record:1.00907 total_wall_time:226.63108
2025-08-14T23:34:55.3480230Z STATS: call_* op count: 2873 | FakeTensorMode.__torch_dispatch__:120309 | attempt fast:228 | fast is_contiguous:228 | FakeTensor.__torch_dispatch__:96446 | ProxyTorchDispatchMode.__torch_dispatch__:56937
2025-08-14T23:34:55.3481181Z Dynamo produced 3 graphs covering 2873 ops with 7 graph breaks (5 unique)
2025-08-14T23:35:09.0517639Z 
2025-08-14T23:35:10.6029864Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:35:10.6030242Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:35:10.6030543Z cuda train resnet18                           
2025-08-14T23:35:36.9532206Z Compilation time (from dynamo_timed): 23.923498011
2025-08-14T23:35:36.9539456Z pass
2025-08-14T23:35:36.9621696Z TIMING: gc:0.00309 entire_frame_compile:23.9235 _recursive_pre_grad_passes:0.00649 pad_mm_benchmark:0.00162 _recursive_joint_graph_passes:0.30815 _recursive_post_grad_passes:0.22279 async_compile.wait:0.08471 code_gen:6.20586 inductor_compile:9.81813 backend_compile:17.41943 cudagraphify.get_container:0.00214 CUDAGraphNode.record:0.01785 total_wall_time:23.9235
2025-08-14T23:35:36.9626027Z STATS: call_* op count: 73 | FakeTensorMode.__torch_dispatch__:10003 | attempt fast:116 | fast is_contiguous:116 | FakeTensor.__torch_dispatch__:6398 | ProxyTorchDispatchMode.__torch_dispatch__:4228
2025-08-14T23:35:36.9627857Z Dynamo produced 2 graphs covering 73 ops with 6 graph breaks (5 unique)
2025-08-14T23:35:43.2593792Z 
2025-08-14T23:35:45.5221919Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:35:45.5222277Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:35:45.5222583Z cuda train resnet50                           
2025-08-14T23:36:38.3855476Z Compilation time (from dynamo_timed): 47.596914469
2025-08-14T23:36:38.3875262Z pass
2025-08-14T23:36:38.4061967Z TIMING: gc:0.00375 entire_frame_compile:47.59691 _recursive_pre_grad_passes:0.009 pad_mm_benchmark:0.00169 _recursive_joint_graph_passes:0.55324 _recursive_post_grad_passes:0.55425 async_compile.wait:0.13128 code_gen:9.467 inductor_compile:18.66269 backend_compile:36.33354 cudagraphify.get_container:0.00441 CachingAutotuner.benchmark_all_configs:0.15346 CUDAGraphNode.record:0.06171 total_wall_time:47.59691
2025-08-14T23:36:38.4064968Z STATS: call_* op count: 179 | FakeTensorMode.__torch_dispatch__:24346 | attempt fast:228 | fast is_contiguous:228 | FakeTensor.__torch_dispatch__:16670 | ProxyTorchDispatchMode.__torch_dispatch__:11015
2025-08-14T23:36:38.4065902Z Dynamo produced 2 graphs covering 179 ops with 6 graph breaks (5 unique)
2025-08-14T23:36:45.9952265Z 
2025-08-14T23:36:48.2036936Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:36:48.2037299Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:36:48.2037677Z cuda train resnet50_quantized_qat             
2025-08-14T23:36:48.2038026Z Traceback (most recent call last):
2025-08-14T23:36:48.2038620Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1963, in validate_model
2025-08-14T23:36:48.2039155Z     self.model_iter_fn(model, example_inputs)
2025-08-14T23:36:48.2039844Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in forward_and_backward_pass
2025-08-14T23:36:48.2040555Z     pred = mod(*cloned_inputs)
2025-08-14T23:36:48.2041153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 837, in call_wrapped
2025-08-14T23:36:48.2041960Z     return self._wrapped_call(self, *args, **kwargs)
2025-08-14T23:36:48.2042605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 413, in __call__
2025-08-14T23:36:48.2043232Z     raise e
2025-08-14T23:36:48.2043713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 400, in __call__
2025-08-14T23:36:48.2044430Z     return super(self.cls, obj).__call__(*args, **kwargs)  # type: ignore[misc]
2025-08-14T23:36:48.2045234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
2025-08-14T23:36:48.2045940Z     return self._call_impl(*args, **kwargs)
2025-08-14T23:36:48.2046599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
2025-08-14T23:36:48.2047196Z     return forward_call(*args, **kwargs)
2025-08-14T23:36:48.2047580Z   File "<eval_with_key>.3", line 167, in forward
2025-08-14T23:36:48.2048018Z     activation_post_process_73 = self.activation_post_process_73(fc);  fc = None
2025-08-14T23:36:48.2048831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
2025-08-14T23:36:48.2049516Z     return self._call_impl(*args, **kwargs)
2025-08-14T23:36:48.2050155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
2025-08-14T23:36:48.2050757Z     return forward_call(*args, **kwargs)
2025-08-14T23:36:48.2051405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fake_quantize.py", line 411, in forward
2025-08-14T23:36:48.2052123Z     return torch.fused_moving_avg_obs_fake_quant(
2025-08-14T23:36:48.2052953Z RuntimeError: expected scalar type Float but found Half
2025-08-14T23:36:48.2053243Z 
2025-08-14T23:36:48.2053518Z The above exception was the direct cause of the following exception:
2025-08-14T23:36:48.2053833Z 
2025-08-14T23:36:48.2053943Z Traceback (most recent call last):
2025-08-14T23:36:48.2054470Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T23:36:48.2054928Z     ) = runner.load_model(
2025-08-14T23:36:48.2055510Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model
2025-08-14T23:36:48.2056111Z     self.validate_model(model, example_inputs)
2025-08-14T23:36:48.2056649Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1965, in validate_model
2025-08-14T23:36:48.2057266Z     raise RuntimeError("Eager run failed") from e
2025-08-14T23:36:48.2057599Z RuntimeError: Eager run failed
2025-08-14T23:36:48.2057815Z 
2025-08-14T23:36:48.2058116Z eager_fail_to_run
2025-08-14T23:36:52.5781090Z 
2025-08-14T23:36:55.0784243Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:36:55.0785057Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:36:55.0785842Z cuda train resnext50_32x4d                    
2025-08-14T23:37:48.7577903Z W0814 23:37:48.756000 46796 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:38:22.7138197Z Compilation time (from dynamo_timed): 80.998525517
2025-08-14T23:38:22.7159515Z pass
2025-08-14T23:38:22.7281338Z TIMING: gc:0.0067 entire_frame_compile:80.99853 _recursive_pre_grad_passes:0.03001 pad_mm_benchmark:0.00166 _recursive_joint_graph_passes:0.68362 _recursive_post_grad_passes:0.65785 async_compile.wait:2.71103 code_gen:19.51082 inductor_compile:35.24445 backend_compile:62.20524 cudagraphify.get_container:0.00748 CachingAutotuner.benchmark_all_configs:0.15322 CUDAGraphNode.record:0.14334 total_wall_time:80.99853
2025-08-14T23:38:22.7283476Z STATS: call_* op count: 1003 | FakeTensorMode.__torch_dispatch__:43248 | attempt fast:189 | fast is_contiguous:189 | FakeTensor.__torch_dispatch__:33194 | ProxyTorchDispatchMode.__torch_dispatch__:19571
2025-08-14T23:38:22.7284412Z Dynamo produced 3 graphs covering 1003 ops with 7 graph breaks (5 unique)
2025-08-14T23:38:31.4529721Z 
2025-08-14T23:38:39.2164388Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:38:39.2164786Z loading model: 0it [00:07, ?it/s]
2025-08-14T23:38:39.2165150Z cuda train sam                                
2025-08-14T23:38:39.2174951Z Traceback (most recent call last):
2025-08-14T23:38:39.2175493Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1963, in validate_model
2025-08-14T23:38:39.2176027Z     self.model_iter_fn(model, example_inputs)
2025-08-14T23:38:39.2176676Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 493, in forward_and_backward_pass
2025-08-14T23:38:39.2177279Z     self.grad_scaler.scale(loss).backward()
2025-08-14T23:38:39.2177835Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 625, in backward
2025-08-14T23:38:39.2178349Z     torch.autograd.backward(
2025-08-14T23:38:39.2178884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 354, in backward
2025-08-14T23:38:39.2179416Z     _engine_run_backward(
2025-08-14T23:38:39.2179966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 841, in _engine_run_backward
2025-08-14T23:38:39.2180760Z     return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2025-08-14T23:38:39.2181423Z RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn
2025-08-14T23:38:39.2181777Z 
2025-08-14T23:38:39.2181982Z The above exception was the direct cause of the following exception:
2025-08-14T23:38:39.2182283Z 
2025-08-14T23:38:39.2182387Z Traceback (most recent call last):
2025-08-14T23:38:39.2182841Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T23:38:39.2183618Z     ) = runner.load_model(
2025-08-14T23:38:39.2184081Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model
2025-08-14T23:38:39.2184607Z     self.validate_model(model, example_inputs)
2025-08-14T23:38:39.2185126Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1965, in validate_model
2025-08-14T23:38:39.2185654Z     raise RuntimeError("Eager run failed") from e
2025-08-14T23:38:39.2185981Z RuntimeError: Eager run failed
2025-08-14T23:38:39.2186155Z 
2025-08-14T23:38:39.2186247Z eager_fail_to_run
2025-08-14T23:38:43.5775437Z 
2025-08-14T23:38:44.9818360Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:38:44.9818700Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:38:44.9819007Z cuda train shufflenet_v2_x1_0                 
2025-08-14T23:41:01.8166836Z Compilation time (from dynamo_timed): 134.694964804
2025-08-14T23:41:01.8187872Z pass
2025-08-14T23:41:01.8203270Z TIMING: gc:0.00395 entire_frame_compile:134.69496 _recursive_pre_grad_passes:0.01127 pad_mm_benchmark:0.00184 _recursive_joint_graph_passes:0.68198 _recursive_post_grad_passes:0.71852 async_compile.wait:0.53281 code_gen:14.6029 inductor_compile:99.2881 backend_compile:120.28005 cudagraphify.get_container:0.00223 CUDAGraphNode.record:0.06812 total_wall_time:134.69496
2025-08-14T23:41:01.8205164Z STATS: call_* op count: 275 | FakeTensorMode.__torch_dispatch__:27359 | attempt fast:162 | fast is_contiguous:162 | FakeTensor.__torch_dispatch__:19945 | ProxyTorchDispatchMode.__torch_dispatch__:11979
2025-08-14T23:41:01.8206099Z Dynamo produced 2 graphs covering 275 ops with 6 graph breaks (5 unique)
2025-08-14T23:41:10.2721576Z 
2025-08-14T23:41:10.3765079Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality.
2025-08-14T23:41:10.3766050Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade.
2025-08-14T23:41:10.3767025Z Users of this version of Gym should be able to simply replace 'import gym' with 'import gymnasium as gym' in the vast majority of cases.
2025-08-14T23:41:10.3767895Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information.
2025-08-14T23:41:11.2846719Z 
2025-08-14T23:41:11.2847083Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:41:11.2847438Z cuda train soft_actor_critic                  
2025-08-14T23:41:22.4718738Z W0814 23:41:22.470000 49337 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:41:24.3785954Z Compilation time (from dynamo_timed): 11.85580352
2025-08-14T23:41:24.3786295Z pass
2025-08-14T23:41:24.3791656Z TIMING: gc:0.00442 entire_frame_compile:11.8558 _recursive_pre_grad_passes:0.00822 pad_mm_benchmark:0.37009 _recursive_joint_graph_passes:0.58908 _recursive_post_grad_passes:0.1543 async_compile.precompile:0.37143 async_compile.wait:1.40623 code_gen:2.67265 inductor_compile:3.77872 backend_compile:7.04316 cudagraphify.get_container:0.00453 CUDAGraphNode.record:0.0067 total_wall_time:11.8558
2025-08-14T23:41:24.3793657Z STATS: call_* op count: 70 | FakeTensorMode.__torch_dispatch__:2834 | attempt fast:38 | fast is_contiguous:38 | FakeTensor.__torch_dispatch__:1220 | ProxyTorchDispatchMode.__torch_dispatch__:947
2025-08-14T23:41:24.3794563Z Dynamo produced 4 graphs covering 70 ops with 6 graph breaks (5 unique)
2025-08-14T23:41:30.0782165Z 
2025-08-14T23:41:31.4714605Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:41:31.4715093Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:41:31.4715483Z Traceback (most recent call last):
2025-08-14T23:41:31.4715986Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 508, in <module>
2025-08-14T23:41:31.4716818Z     torchbench_main()
2025-08-14T23:41:31.4717465Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 504, in torchbench_main
2025-08-14T23:41:31.4718622Z     main(TorchBenchmarkRunner(), original_dir)
2025-08-14T23:41:31.4719121Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3592, in main
2025-08-14T23:41:31.4722130Z     process_entry(0, runner, original_dir, args)
2025-08-14T23:41:31.4722665Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3517, in process_entry
2025-08-14T23:41:31.4726204Z     result = run(runner, args, original_dir)
2025-08-14T23:41:31.4726676Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4203, in run
2025-08-14T23:41:31.4731203Z     assert marked, f"nothing in example_inputs had a dim with {batch_size}"
2025-08-14T23:41:31.4731693Z AssertionError: nothing in example_inputs had a dim with 32
2025-08-14T23:41:32.4471935Z Run failed with return code:  1
2025-08-14T23:41:32.4472349Z Output:  None
2025-08-14T23:41:32.4472631Z Error:  None
2025-08-14T23:41:35.6995599Z 
2025-08-14T23:41:37.0152573Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:41:37.0153056Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:41:37.0153426Z cuda train squeezenet1_1                      
2025-08-14T23:42:07.8463229Z Compilation time (from dynamo_timed): 28.857810381
2025-08-14T23:42:07.8469309Z pass
2025-08-14T23:42:07.8488511Z TIMING: gc:0.00374 entire_frame_compile:28.85781 _recursive_pre_grad_passes:0.00545 _recursive_joint_graph_passes:0.25234 _recursive_post_grad_passes:0.11562 async_compile.wait:0.98868 code_gen:12.99593 inductor_compile:16.17803 backend_compile:23.35043 cudagraphify.get_container:0.00231 CachingAutotuner.benchmark_all_configs:0.0176 CUDAGraphNode.record:0.01539 total_wall_time:28.85781
2025-08-14T23:42:07.8491761Z STATS: call_* op count: 70 | FakeTensorMode.__torch_dispatch__:7092 | FakeTensor.__torch_dispatch__:2696 | ProxyTorchDispatchMode.__torch_dispatch__:2534 | attempt fast:47 | fast is_contiguous:47
2025-08-14T23:42:07.8493240Z Dynamo produced 2 graphs covering 70 ops with 6 graph breaks (5 unique)
2025-08-14T23:42:14.1821933Z 
2025-08-14T23:42:16.0526237Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:42:16.0526499Z 
2025-08-14T23:42:16.2388067Z Loading pipeline components...:   0% 0/6 [00:00<?, ?it/s]
2025-08-14T23:42:16.2388447Z 
2025-08-14T23:42:16.4868976Z Loading pipeline components...:  50% 3/6 [00:00<00:00, 16.13it/s]
2025-08-14T23:42:16.4869284Z 
2025-08-14T23:42:17.2518014Z Loading pipeline components...:  83% 5/6 [00:00<00:00, 10.84it/s]
2025-08-14T23:42:17.2518536Z Loading pipeline components...: 100% 6/6 [00:01<00:00,  5.00it/s]
2025-08-14T23:42:19.0179172Z 
2025-08-14T23:42:19.0179554Z loading model: 0it [00:04, ?it/s]
2025-08-14T23:42:19.0179921Z cuda train stable_diffusion_text_encoder      
2025-08-14T23:42:19.0616028Z WARNING:common:fp64 golden ref were not generated for stable_diffusion_text_encoder. Setting accuracy check to cosine
2025-08-14T23:43:05.9655328Z 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 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:43:05.9656943Z     pred = mod(*cloned_inputs)
2025-08-14T23:43:05.9657716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 961, in wrapper
2025-08-14T23:43:05.9658491Z     output = func(self, *args, **kwargs)
2025-08-14T23:43:05.9659112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py", line 715, in forward
2025-08-14T23:43:05.9659717Z     return self.text_model(
2025-08-14T23:43:05.9660290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py", line 644, in forward
2025-08-14T23:43:05.9660910Z     pooled_output = last_hidden_state[
2025-08-14T23:43:05.9661108Z 
2025-08-14T23:43:05.9661113Z 
2025-08-14T23:43:06.7498522Z Compilation time (from dynamo_timed): 45.078582096999995
2025-08-14T23:43:06.7520500Z pass
2025-08-14T23:43:06.8292483Z TIMING: gc:0.00592 entire_frame_compile:34.31594 _recursive_pre_grad_passes:0.01256 pad_mm_benchmark:0.84334 _recursive_joint_graph_passes:2.97791 _recursive_post_grad_passes:2.21254 async_compile.wait:0.03998 code_gen:10.32982 inductor_compile:20.37082 backend_compile:25.63143 cudagraphify.get_container:0.22329 entire_backward_compile:10.76264 CUDAGraphNode.record:0.06342 total_wall_time:45.07858
2025-08-14T23:43:06.8294420Z STATS: call_* op count: 621 | FakeTensorMode.__torch_dispatch__:66887 | FakeTensor.__torch_dispatch__:31723 | ProxyTorchDispatchMode.__torch_dispatch__:28492
2025-08-14T23:43:06.8295216Z Dynamo produced 2 graphs covering 621 ops with 5 graph breaks (5 unique)
2025-08-14T23:43:13.7744937Z 
2025-08-14T23:43:15.6416982Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:43:15.6417291Z 
2025-08-14T23:43:16.2635866Z Loading pipeline components...:   0% 0/6 [00:00<?, ?it/s]
2025-08-14T23:43:16.2636451Z 
2025-08-14T23:43:16.5668153Z Loading pipeline components...:  17% 1/6 [00:00<00:03,  1.61it/s]
2025-08-14T23:43:16.5668515Z 
2025-08-14T23:43:16.6943963Z Loading pipeline components...:  33% 2/6 [00:00<00:01,  2.30it/s]
2025-08-14T23:43:16.6944276Z 
2025-08-14T23:43:16.6944545Z Loading pipeline components...: 100% 6/6 [00:01<00:00,  8.05it/s]
2025-08-14T23:43:16.6945008Z Loading pipeline components...: 100% 6/6 [00:01<00:00,  5.70it/s]
2025-08-14T23:43:19.2104580Z 
2025-08-14T23:43:19.2105242Z loading model: 0it [00:05, ?it/s]
2025-08-14T23:43:19.2105888Z cuda train stable_diffusion_unet              
2025-08-14T23:43:19.2348441Z Compilation time (from dynamo_timed): 0
2025-08-14T23:43:19.2348758Z pass_due_to_skip
2025-08-14T23:43:19.5586865Z TIMING: total_wall_time:0
2025-08-14T23:43:19.5587200Z STATS: call_* op count: 0
2025-08-14T23:43:19.5587579Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-14T23:43:24.1307539Z 
2025-08-14T23:43:27.4530578Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:43:27.4531054Z loading model: 0it [00:03, ?it/s]
2025-08-14T23:43:27.4531470Z cuda train timm_efficientnet                  
2025-08-14T23:46:02.0906241Z W0814 23:46:02.089000 51571 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:46:47.7149932Z E0814 23:46:47.714000 51571 site-packages/torch/_dynamo/utils.py:3104] RMSE (res-fp64): 1.41231, (ref-fp64): 0.46620 and shape=torch.Size([1152, 48, 1, 1]). res.dtype: torch.float32, multiplier: 3.000000, tol: 0.080000, use_larger_multiplier_for_smaller_tensor: 1
2025-08-14T23:46:47.7151763Z E0814 23:46:47.714000 51571 site-packages/torch/_dynamo/utils.py:2965] Accuracy failed for key name blocks.5.2.se.conv_expand.weight.grad
2025-08-14T23:46:47.7419383Z Compilation time (from dynamo_timed): 196.00178329
2025-08-14T23:46:47.7447464Z fail_accuracy
2025-08-14T23:46:47.7503407Z TIMING: gc:0.00756 entire_frame_compile:196.00178 _recursive_pre_grad_passes:0.0361 pad_mm_benchmark:0.00165 _recursive_joint_graph_passes:0.92704 _recursive_post_grad_passes:1.14625 async_compile.wait:4.19584 code_gen:26.4581 inductor_compile:128.83867 backend_compile:167.85427 cudagraphify.get_container:0.00332 CachingAutotuner.benchmark_all_configs:0.23651 CUDAGraphNode.record:0.25101 total_wall_time:196.00178
2025-08-14T23:46:47.7506833Z STATS: call_* op count: 1327 | FakeTensorMode.__torch_dispatch__:59914 | attempt fast:589 | fast is_contiguous:589 | FakeTensor.__torch_dispatch__:49144 | ProxyTorchDispatchMode.__torch_dispatch__:25577
2025-08-14T23:46:47.7508400Z Dynamo produced 3 graphs covering 1327 ops with 7 graph breaks (5 unique)
2025-08-14T23:46:59.4011517Z 
2025-08-14T23:47:02.7257320Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:47:02.7257664Z loading model: 0it [00:03, ?it/s]
2025-08-14T23:47:02.7257972Z cuda train timm_regnet                        
2025-08-14T23:48:25.2665441Z W0814 23:48:25.265000 54354 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:49:25.3609059Z W0814 23:49:25.359000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3615639Z W0814 23:49:25.361000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3626277Z W0814 23:49:25.362000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3633267Z W0814 23:49:25.362000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3639559Z W0814 23:49:25.363000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3647086Z W0814 23:49:25.364000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3654290Z W0814 23:49:25.364000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3660904Z W0814 23:49:25.365000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3667867Z W0814 23:49:25.366000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3683276Z W0814 23:49:25.367000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3690223Z W0814 23:49:25.368000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3697452Z W0814 23:49:25.369000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3704238Z W0814 23:49:25.369000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3711449Z W0814 23:49:25.370000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3718464Z W0814 23:49:25.371000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3725731Z W0814 23:49:25.372000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3732644Z W0814 23:49:25.372000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3740055Z W0814 23:49:25.373000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3755892Z W0814 23:49:25.375000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3762610Z W0814 23:49:25.375000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3770121Z W0814 23:49:25.376000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3777196Z W0814 23:49:25.377000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3784030Z W0814 23:49:25.377000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3791470Z W0814 23:49:25.378000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3811325Z W0814 23:49:25.380000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.3818137Z W0814 23:49:25.381000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4307445Z W0814 23:49:25.430000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4314424Z W0814 23:49:25.430000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4320619Z W0814 23:49:25.431000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4328353Z W0814 23:49:25.432000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4336140Z W0814 23:49:25.433000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4344621Z W0814 23:49:25.433000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4352723Z W0814 23:49:25.434000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4360588Z W0814 23:49:25.435000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4368307Z W0814 23:49:25.436000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4383493Z W0814 23:49:25.437000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4390432Z W0814 23:49:25.438000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4397712Z W0814 23:49:25.439000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4404553Z W0814 23:49:25.440000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4411270Z W0814 23:49:25.440000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4418343Z W0814 23:49:25.441000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4425348Z W0814 23:49:25.442000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4432489Z W0814 23:49:25.442000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4439456Z W0814 23:49:25.443000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4448814Z W0814 23:49:25.444000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4459964Z W0814 23:49:25.445000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4466712Z W0814 23:49:25.446000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4474558Z W0814 23:49:25.447000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4481477Z W0814 23:49:25.447000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4488308Z W0814 23:49:25.448000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4495625Z W0814 23:49:25.449000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4515045Z W0814 23:49:25.451000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.4521818Z W0814 23:49:25.451000 54354 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:49:25.5622162Z Compilation time (from dynamo_timed): 131.579192236
2025-08-14T23:49:25.5657007Z pass
2025-08-14T23:49:25.5988740Z TIMING: gc:0.00806 entire_frame_compile:131.57919 _recursive_pre_grad_passes:0.04406 pad_mm_benchmark:0.00166 _recursive_joint_graph_passes:1.05033 _recursive_post_grad_passes:1.09471 async_compile.wait:3.49189 code_gen:27.66477 inductor_compile:56.42262 backend_compile:98.32577 cudagraphify.get_container:0.01395 CachingAutotuner.benchmark_all_configs:0.20219 CUDAGraphNode.record:0.36102 total_wall_time:131.57919
2025-08-14T23:49:25.5991111Z STATS: call_* op count: 1662 | FakeTensorMode.__torch_dispatch__:68670 | attempt fast:215 | fast is_contiguous:215 | FakeTensor.__torch_dispatch__:54198 | ProxyTorchDispatchMode.__torch_dispatch__:31122
2025-08-14T23:49:25.5992064Z Dynamo produced 3 graphs covering 1662 ops with 7 graph breaks (5 unique)
2025-08-14T23:49:35.9564388Z 
2025-08-14T23:49:38.4209099Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:49:38.4209622Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:49:38.4210057Z cuda train timm_resnest                       
2025-08-14T23:50:33.9008887Z Compilation time (from dynamo_timed): 50.615008168
2025-08-14T23:50:33.9018777Z pass
2025-08-14T23:50:33.9103929Z TIMING: gc:0.00301 entire_frame_compile:50.61501 _recursive_pre_grad_passes:0.00759 pad_mm_benchmark:0.00162 _recursive_joint_graph_passes:0.43477 _recursive_post_grad_passes:1.00287 async_compile.wait:0.43164 code_gen:14.89904 inductor_compile:24.88533 backend_compile:40.03372 cudagraphify.get_container:0.00265 CachingAutotuner.benchmark_all_configs:0.04574 CUDAGraphNode.record:0.02572 total_wall_time:50.61501
2025-08-14T23:50:33.9106168Z STATS: call_* op count: 135 | FakeTensorMode.__torch_dispatch__:16272 | attempt fast:302 | fast is_contiguous:286 | FakeTensor.__torch_dispatch__:9629 | ProxyTorchDispatchMode.__torch_dispatch__:6029 | slow no contiguity match:16
2025-08-14T23:50:33.9107210Z Dynamo produced 2 graphs covering 135 ops with 6 graph breaks (5 unique)
2025-08-14T23:50:42.8538088Z 
2025-08-14T23:50:44.9702889Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:50:44.9703246Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:50:44.9703553Z cuda train timm_vision_transformer            
2025-08-14T23:51:37.0465371Z Compilation time (from dynamo_timed): 49.63850727
2025-08-14T23:51:37.0481114Z pass
2025-08-14T23:51:37.0661089Z TIMING: gc:0.00357 entire_frame_compile:49.63851 _recursive_pre_grad_passes:0.00811 pad_mm_benchmark:0.07292 _recursive_joint_graph_passes:1.22406 _recursive_post_grad_passes:1.74876 async_compile.wait:0.08703 code_gen:8.75433 inductor_compile:20.39717 backend_compile:39.12768 cudagraphify.get_container:0.00387 CUDAGraphNode.record:0.06951 total_wall_time:49.63851
2025-08-14T23:51:37.0663059Z STATS: call_* op count: 267 | FakeTensorMode.__torch_dispatch__:26719 | FakeTensor.__torch_dispatch__:14520 | attempt fast:95 | fast is_contiguous:95 | ProxyTorchDispatchMode.__torch_dispatch__:10947
2025-08-14T23:51:37.0663982Z Dynamo produced 2 graphs covering 267 ops with 6 graph breaks (5 unique)
2025-08-14T23:51:44.9144874Z 
2025-08-14T23:51:58.0586624Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:51:58.0587084Z loading model: 0it [00:13, ?it/s]
2025-08-14T23:51:58.0587601Z cuda train timm_vision_transformer_large      
2025-08-14T23:51:58.0835414Z Compilation time (from dynamo_timed): 0
2025-08-14T23:51:58.0835726Z pass_due_to_skip
2025-08-14T23:51:58.3461509Z TIMING: total_wall_time:0
2025-08-14T23:51:58.3462153Z STATS: call_* op count: 0
2025-08-14T23:51:58.3462872Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-14T23:52:02.8412733Z 
2025-08-14T23:52:05.2858413Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:52:05.2858751Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:52:05.2859056Z cuda train timm_vovnet                        
2025-08-14T23:53:02.6368445Z Compilation time (from dynamo_timed): 50.370262395
2025-08-14T23:53:02.6383430Z pass
2025-08-14T23:53:02.6561365Z TIMING: gc:0.00392 entire_frame_compile:50.37026 _recursive_pre_grad_passes:0.00762 pad_mm_benchmark:0.00163 _recursive_joint_graph_passes:0.48541 _recursive_post_grad_passes:0.46186 async_compile.wait:0.18267 code_gen:15.88849 inductor_compile:24.8561 backend_compile:40.00796 cudagraphify.get_container:0.00441 CUDAGraphNode.record:0.04229 total_wall_time:50.37026
2025-08-14T23:53:02.6563385Z STATS: call_* op count: 134 | FakeTensorMode.__torch_dispatch__:19828 | attempt fast:241 | fast is_contiguous:181 | FakeTensor.__torch_dispatch__:13528 | ProxyTorchDispatchMode.__torch_dispatch__:8530 | slow no contiguity match:60
2025-08-14T23:53:02.6564851Z Dynamo produced 2 graphs covering 134 ops with 6 graph breaks (5 unique)
2025-08-14T23:53:10.4491082Z 
2025-08-14T23:53:12.5115178Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:53:12.5115530Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:53:12.5115914Z cuda train torch_multimodal_clip              
2025-08-14T23:54:54.2781741Z 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 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:54:54.2783289Z     pred = mod(*cloned_inputs)
2025-08-14T23:54:54.2783922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchmultimodal/models/clip/model.py", line 72, in forward
2025-08-14T23:54:54.2784537Z     embeddings_b = self.encoder_b(features_b)
2025-08-14T23:54:54.2785178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchmultimodal/models/clip/text_encoder.py", line 132, in forward
2025-08-14T23:54:54.2786088Z     hidden_state[torch.arange(hidden_state.shape[0]), text.argmax(dim=-1)]
2025-08-14T23:54:54.2786529Z 
2025-08-14T23:54:54.2786535Z 
2025-08-14T23:54:58.4810888Z W0814 23:54:58.480000 60348 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:55:58.4143251Z Compilation time (from dynamo_timed): 159.799456328
2025-08-14T23:55:58.4180509Z pass
2025-08-14T23:55:58.5102558Z TIMING: gc:0.0072 entire_frame_compile:159.79946 _recursive_pre_grad_passes:0.04801 pad_mm_benchmark:0.14819 _recursive_joint_graph_passes:2.62743 _recursive_post_grad_passes:5.52858 async_compile.wait:2.71864 code_gen:34.77143 inductor_compile:76.09317 backend_compile:128.77303 cudagraphify.get_container:0.03697 CUDAGraphNode.record:0.04295 total_wall_time:159.79946
2025-08-14T23:55:58.5104931Z STATS: call_* op count: 1922 | FakeTensorMode.__torch_dispatch__:100886 | FakeTensor.__torch_dispatch__:61262 | attempt fast:192 | fast is_contiguous:151 | slow no contiguity match:41 | ProxyTorchDispatchMode.__torch_dispatch__:42288
2025-08-14T23:55:58.5105990Z Dynamo produced 3 graphs covering 1922 ops with 7 graph breaks (5 unique)
2025-08-14T23:56:14.5111322Z 
2025-08-14T23:56:15.3019788Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:56:15.3020136Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:56:15.3020425Z cuda train tts_angular                        
2025-08-14T23:56:20.9757310Z W0814 23:56:20.974000 61842 site-packages/torch/_logging/_internal.py:1199] [10/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:56:24.9700587Z Compilation time (from dynamo_timed): 8.173643957
2025-08-14T23:56:24.9701120Z pass
2025-08-14T23:56:24.9776663Z TIMING: gc:0.00848 entire_frame_compile:7.79048 _recursive_pre_grad_passes:0.00849 _recursive_joint_graph_passes:0.33693 inductor_compile:3.14709 backend_compile:4.77338 _recursive_post_grad_passes:0.04091 async_compile.precompile:0.40686 async_compile.wait:1.42583 code_gen:2.51887 entire_backward_compile:0.38317 total_wall_time:8.17364
2025-08-14T23:56:24.9778379Z STATS: call_* op count: 102 | FakeTensorMode.__torch_dispatch__:2423 | ProxyTorchDispatchMode.__torch_dispatch__:982 | FakeTensor.__torch_dispatch__:1688
2025-08-14T23:56:24.9779183Z Dynamo produced 5 graphs covering 102 ops with 9 graph breaks (6 unique)
2025-08-14T23:56:30.5886766Z 
2025-08-14T23:56:33.7137500Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:56:33.7137826Z loading model: 0it [00:03, ?it/s]
2025-08-14T23:56:33.7138130Z cuda train vgg16                              
2025-08-14T23:57:09.7229714Z Compilation time (from dynamo_timed): 19.186286009
2025-08-14T23:57:09.7230072Z pass
2025-08-14T23:57:09.7438014Z TIMING: gc:0.00373 entire_frame_compile:19.18629 _recursive_pre_grad_passes:0.00488 pad_mm_benchmark:0.00478 _recursive_joint_graph_passes:0.24209 _recursive_post_grad_passes:0.17753 async_compile.wait:0.73867 code_gen:6.67336 inductor_compile:8.80473 backend_compile:14.59535 cudagraphify.get_container:0.00876 CachingAutotuner.benchmark_all_configs:1.28466 CUDAGraphNode.record:0.0106 total_wall_time:19.18629
2025-08-14T23:57:09.7440386Z STATS: call_* op count: 44 | FakeTensorMode.__torch_dispatch__:5369 | FakeTensor.__torch_dispatch__:1621 | attempt fast:72 | fast is_contiguous:72 | ProxyTorchDispatchMode.__torch_dispatch__:1692
2025-08-14T23:57:09.7441296Z Dynamo produced 2 graphs covering 44 ops with 6 graph breaks (5 unique)
2025-08-14T23:57:15.8987146Z 
2025-08-14T23:57:42.6585450Z 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
2025-08-14T23:57:42.6587200Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:57:42.6588062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:57:42.6588838Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:57:42.6589410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:57:42.6589957Z     return input[
2025-08-14T23:57:42.6590090Z 
2025-08-14T23:57:42.6590095Z 
2025-08-14T23:58:09.1122869Z 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
2025-08-14T23:58:09.1124802Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:58:09.1125660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:58:09.1126290Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:58:09.1126899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:58:09.1127466Z     return input[
2025-08-14T23:58:09.1127610Z 
2025-08-14T23:58:09.1127615Z 
2025-08-14T23:58:33.5466036Z 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
2025-08-14T23:58:33.5467167Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:58:33.5467949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:58:33.5468606Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:58:33.5469168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:58:33.5469708Z     return input[
2025-08-14T23:58:33.5469868Z 
2025-08-14T23:58:33.5469873Z 
2025-08-14T23:58:57.3776575Z 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
2025-08-14T23:58:57.3777730Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:58:57.3778552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:58:57.3779177Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:58:57.3779747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:58:57.3780294Z     return input[
2025-08-14T23:58:57.3780438Z 
2025-08-14T23:58:57.3780443Z 
2025-08-14T23:59:21.4027836Z 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
2025-08-14T23:59:21.4029675Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:59:21.4030516Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:59:21.4031136Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:59:21.4031703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:59:21.4032257Z     return input[
2025-08-14T23:59:21.4032390Z 
2025-08-14T23:59:21.4032394Z 
2025-08-14T23:59:45.2092290Z 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
2025-08-14T23:59:45.2093811Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:59:45.2094675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:59:45.2095300Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:59:45.2095871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:59:45.2096423Z     return input[
2025-08-14T23:59:45.2096565Z 
2025-08-14T23:59:45.2096569Z 
2025-08-15T00:00:19.7996834Z 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
2025-08-15T00:00:19.7998005Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-15T00:00:19.7998789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-15T00:00:19.7999438Z     v4 = masked_index(y_high, x_high)
2025-08-15T00:00:19.8000170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-15T00:00:19.8001110Z     return input[
2025-08-15T00:00:19.8001272Z 
2025-08-15T00:00:19.8001277Z 
2025-08-15T00:00:30.0261454Z 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
2025-08-15T00:00:30.0262607Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-15T00:00:30.0263395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-15T00:00:30.0264002Z     v4 = masked_index(y_high, x_high)
2025-08-15T00:00:30.0264878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-15T00:00:30.0265443Z     return input[
2025-08-15T00:00:30.0265583Z 
2025-08-15T00:00:30.0265587Z 
2025-08-15T00:00:31.9695853Z 
2025-08-15T00:00:31.9696230Z loading model: 0it [03:16, ?it/s]
2025-08-15T00:00:31.9696576Z cuda train vision_maskrcnn                    
2025-08-15T00:00:32.8755421Z W0815 00:00:32.874000 63381 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8] torch._dynamo hit config.recompile_limit (8)
2025-08-15T00:00:32.8756522Z W0815 00:00:32.874000 63381 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8]    function: '_roi_align' (/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py:114)
2025-08-15T00:00:32.8757695Z W0815 00:00:32.874000 63381 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8]    last reason: 0/7: tensor 'rois' dtype mismatch. expected Float, actual Double
2025-08-15T00:00:32.8758898Z W0815 00:00:32.874000 63381 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
2025-08-15T00:00:32.8760793Z W0815 00:00:32.874000 63381 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html
2025-08-15T00:01:05.4072766Z W0815 00:01:05.406000 63381 site-packages/torch/_inductor/utils.py:2236] [4/0_1] DeviceCopy in input program
2025-08-15T00:01:05.4081654Z W0815 00:01:05.407000 63381 site-packages/torch/_inductor/utils.py:2236] [4/0_1] DeviceCopy in input program
2025-08-15T00:01:05.4090706Z W0815 00:01:05.408000 63381 site-packages/torch/_inductor/utils.py:2236] [4/0_1] DeviceCopy in input program
2025-08-15T00:01:05.4099901Z W0815 00:01:05.409000 63381 site-packages/torch/_inductor/utils.py:2236] [4/0_1] DeviceCopy in input program
2025-08-15T00:01:05.4110333Z W0815 00:01:05.410000 63381 site-packages/torch/_inductor/utils.py:2236] [4/0_1] DeviceCopy in input program
2025-08-15T00:01:06.0270276Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-15T00:01:06.0271016Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-15T00:01:06.0271661Z     anchors = self.anchor_generator(images, features)
2025-08-15T00:01:06.0272325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-15T00:01:06.0272999Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-15T00:01:06.0273703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-15T00:01:06.0274523Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-15T00:01:06.0275314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-15T00:01:06.0276120Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-15T00:01:06.0276485Z 
2025-08-15T00:01:06.0276654Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-15T00:01:06.0277307Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-15T00:01:06.0277926Z     anchors = self.anchor_generator(images, features)
2025-08-15T00:01:06.0278637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-15T00:01:06.0279301Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-15T00:01:06.0279994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-15T00:01:06.0280807Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-15T00:01:06.0281852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-15T00:01:06.0282652Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-15T00:01:06.0283009Z 
2025-08-15T00:01:06.0283176Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-15T00:01:06.0283827Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-15T00:01:06.0284464Z     anchors = self.anchor_generator(images, features)
2025-08-15T00:01:06.0285133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-15T00:01:06.0285801Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-15T00:01:06.0286514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-15T00:01:06.0287534Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-15T00:01:06.0288338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-15T00:01:06.0289141Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-15T00:01:06.0289509Z 
2025-08-15T00:01:06.0289678Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-15T00:01:06.0290335Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-15T00:01:06.0290972Z     anchors = self.anchor_generator(images, features)
2025-08-15T00:01:06.0291631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-15T00:01:06.0292303Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-15T00:01:06.0293023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-15T00:01:06.0293846Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-15T00:01:06.0294643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-15T00:01:06.0295453Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-15T00:01:06.0295812Z 
2025-08-15T00:01:06.0295986Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-15T00:01:06.0296640Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-15T00:01:06.0297274Z     anchors = self.anchor_generator(images, features)
2025-08-15T00:01:06.0297942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-15T00:01:06.0298626Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-15T00:01:06.0299327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-15T00:01:06.0300151Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-15T00:01:06.0300955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-15T00:01:06.0301764Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-15T00:01:06.0302124Z 
2025-08-15T00:01:06.0491344Z cudagraph partition into 2 partitions
2025-08-15T00:01:08.8579085Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] Graph break from `Tensor.item()`, consider setting:
2025-08-15T00:01:08.8580103Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-15T00:01:08.8581393Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] or:
2025-08-15T00:01:08.8582151Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-15T00:01:08.8583072Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] to include these operations in the captured graph.
2025-08-15T00:01:08.8583850Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] 
2025-08-15T00:01:08.8584557Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] Graph break: from user code at:
2025-08-15T00:01:08.8585871Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [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
2025-08-15T00:01:08.8587802Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]     detections, detector_losses = self.roi_heads(features, proposals, images.image_sizes, targets)
2025-08-15T00:01:08.8589283Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 763, in forward
2025-08-15T00:01:08.8590564Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]     box_features = self.box_roi_pool(features, proposals, image_shapes)
2025-08-15T00:01:08.8591780Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 310, in forward
2025-08-15T00:01:08.8592920Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]     self.scales, self.map_levels = _setup_scales(
2025-08-15T00:01:08.8594086Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in _setup_scales
2025-08-15T00:01:08.8595325Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]     scales = [_infer_scale(feat, original_input_shape) for feat in features]
2025-08-15T00:01:08.8596559Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in <listcomp>
2025-08-15T00:01:08.8597783Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]     scales = [_infer_scale(feat, original_input_shape) for feat in features]
2025-08-15T00:01:08.8599021Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 104, in _infer_scale
2025-08-15T00:01:08.8600218Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]     scale = 2 ** float(torch.tensor(approx_scale).log2().round())
2025-08-15T00:01:08.8601014Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] 
2025-08-15T00:01:08.8601618Z W0815 00:01:08.856000 63381 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] 
2025-08-15T00:01:09.3783445Z cudagraph partition due to non gpu ops. Found from : 
2025-08-15T00:01:09.3784235Z    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
2025-08-15T00:01:09.3785033Z     lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item()
2025-08-15T00:01:09.3785350Z 
2025-08-15T00:01:10.1459871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-15T00:01:10.1461082Z    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
2025-08-15T00:01:10.1461915Z     lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item()
2025-08-15T00:01:10.1462244Z 
2025-08-15T00:01:23.8490078Z 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
2025-08-15T00:01:23.8491476Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-08-15T00:01:23.8492288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 259, in getattr_and_trace
2025-08-15T00:01:23.8492887Z     return fn(*args[2:], **kwargs)
2025-08-15T00:01:23.8493719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/external_utils.py", line 249, in wrapper
2025-08-15T00:01:23.8494289Z     return fn(*args, **kwargs)
2025-08-15T00:01:23.8494855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-15T00:01:23.8495586Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-15T00:01:23.8496362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-15T00:01:23.8496967Z     v4 = masked_index(y_high, x_high)
2025-08-15T00:01:23.8497524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-15T00:01:23.8498066Z     return input[
2025-08-15T00:01:23.8498203Z 
2025-08-15T00:01:23.8498208Z 
2025-08-15T00:01:34.2478759Z 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
2025-08-15T00:01:34.2480074Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-08-15T00:01:34.2480880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 259, in getattr_and_trace
2025-08-15T00:01:34.2481477Z     return fn(*args[2:], **kwargs)
2025-08-15T00:01:34.2482022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/external_utils.py", line 249, in wrapper
2025-08-15T00:01:34.2482565Z     return fn(*args, **kwargs)
2025-08-15T00:01:34.2483089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-15T00:01:34.2483818Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-15T00:01:34.2484595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-15T00:01:34.2485204Z     v4 = masked_index(y_high, x_high)
2025-08-15T00:01:34.2485758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-15T00:01:34.2486295Z     return input[
2025-08-15T00:01:34.2486430Z 
2025-08-15T00:01:34.2486435Z 
2025-08-15T00:01:46.9963410Z 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
2025-08-15T00:01:46.9964734Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-08-15T00:01:46.9973736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 259, in getattr_and_trace
2025-08-15T00:01:46.9974447Z     return fn(*args[2:], **kwargs)
2025-08-15T00:01:46.9975321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/external_utils.py", line 249, in wrapper
2025-08-15T00:01:46.9975888Z     return fn(*args, **kwargs)
2025-08-15T00:01:46.9976428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-15T00:01:46.9977176Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-15T00:01:46.9977959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-15T00:01:46.9978567Z     v4 = masked_index(y_high, x_high)
2025-08-15T00:01:46.9979136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-15T00:01:46.9979700Z     return input[
2025-08-15T00:01:46.9979837Z 
2025-08-15T00:01:46.9980005Z 
2025-08-15T00:02:32.3269582Z W0815 00:02:32.325000 63381 site-packages/torch/fx/experimental/symbolic_shapes.py:2392] [30/4] RecursionError in sympy.xreplace(Eq(Mod(2*s29, s93), 0), {s29: evaluate_static_shape_0 + 1, s93: evaluate_static_shape_1 + 1})
2025-08-15T00:02:33.4491481Z 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
2025-08-15T00:02:33.4493299Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-08-15T00:02:33.4494151Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 259, in getattr_and_trace
2025-08-15T00:02:33.4494761Z     return fn(*args[2:], **kwargs)
2025-08-15T00:02:33.4495303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/external_utils.py", line 249, in wrapper
2025-08-15T00:02:33.4495894Z     return fn(*args, **kwargs)
2025-08-15T00:02:33.4496437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-15T00:02:33.4497166Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-15T00:02:33.4497938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-15T00:02:33.4498542Z     v4 = masked_index(y_high, x_high)
2025-08-15T00:02:33.4499095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-15T00:02:33.4499649Z     return input[
2025-08-15T00:02:33.4499791Z 
2025-08-15T00:02:33.4499796Z 
2025-08-15T00:02:47.0154336Z 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
2025-08-15T00:02:47.0155769Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-08-15T00:02:47.0156592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 259, in getattr_and_trace
2025-08-15T00:02:47.0157217Z     return fn(*args[2:], **kwargs)
2025-08-15T00:02:47.0157765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/external_utils.py", line 249, in wrapper
2025-08-15T00:02:47.0158336Z     return fn(*args, **kwargs)
2025-08-15T00:02:47.0158879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-15T00:02:47.0159632Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-15T00:02:47.0160407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-15T00:02:47.0161319Z     v4 = masked_index(y_high, x_high)
2025-08-15T00:02:47.0161896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-15T00:02:47.0162456Z     return input[
2025-08-15T00:02:47.0162592Z 
2025-08-15T00:02:47.0162597Z 
2025-08-15T00:03:13.2072861Z 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
2025-08-15T00:03:13.2074189Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-08-15T00:03:13.2075018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 259, in getattr_and_trace
2025-08-15T00:03:13.2075640Z     return fn(*args[2:], **kwargs)
2025-08-15T00:03:13.2076498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/external_utils.py", line 249, in wrapper
2025-08-15T00:03:13.2077056Z     return fn(*args, **kwargs)
2025-08-15T00:03:13.2077586Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-15T00:03:13.2078335Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-15T00:03:13.2079121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-15T00:03:13.2079733Z     v4 = masked_index(y_high, x_high)
2025-08-15T00:03:13.2080298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-15T00:03:13.2080861Z     return input[
2025-08-15T00:03:13.2080997Z 
2025-08-15T00:03:13.2081002Z 
2025-08-15T00:03:19.8449775Z 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
2025-08-15T00:03:19.8451127Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-08-15T00:03:19.8451945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 259, in getattr_and_trace
2025-08-15T00:03:19.8452558Z     return fn(*args[2:], **kwargs)
2025-08-15T00:03:19.8453107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/external_utils.py", line 249, in wrapper
2025-08-15T00:03:19.8453669Z     return fn(*args, **kwargs)
2025-08-15T00:03:19.8454196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-15T00:03:19.8454958Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-15T00:03:19.8455777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-15T00:03:19.8456389Z     v4 = masked_index(y_high, x_high)
2025-08-15T00:03:19.8456948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-15T00:03:19.8457496Z     return input[
2025-08-15T00:03:19.8457636Z 
2025-08-15T00:03:19.8457641Z 
2025-08-15T00:03:28.9533631Z 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
2025-08-15T00:03:28.9534938Z     mask = F.interpolate(mask, size=(h, w), mode="bilinear", align_corners=False)
2025-08-15T00:03:28.9535269Z 
2025-08-15T00:03:28.9535274Z 
2025-08-15T00:03:30.9330776Z 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
2025-08-15T00:03:30.9332133Z     mask = F.interpolate(mask, size=(h, w), mode="bilinear", align_corners=False)
2025-08-15T00:03:30.9332455Z 
2025-08-15T00:03:30.9332459Z 
2025-08-15T00:03:32.0488682Z 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
2025-08-15T00:03:32.0489901Z     masks_probs = maskrcnn_inference(mask_logits, labels)
2025-08-15T00:03:32.0490611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 79, in maskrcnn_inference
2025-08-15T00:03:32.0491295Z     mask_prob = mask_prob[index, labels][:, None]
2025-08-15T00:03:32.0491859Z 
2025-08-15T00:03:32.0491863Z 
2025-08-15T00:03:34.2755757Z 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
2025-08-15T00:03:34.2757058Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-08-15T00:03:34.2757863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 259, in getattr_and_trace
2025-08-15T00:03:34.2758470Z     return fn(*args[2:], **kwargs)
2025-08-15T00:03:34.2759014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/external_utils.py", line 249, in wrapper
2025-08-15T00:03:34.2759622Z     return fn(*args, **kwargs)
2025-08-15T00:03:34.2760143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-15T00:03:34.2760901Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-15T00:03:34.2761672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-15T00:03:34.2762268Z     v4 = masked_index(y_high, x_high)
2025-08-15T00:03:34.2762827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-15T00:03:34.2763374Z     return input[
2025-08-15T00:03:34.2763505Z 
2025-08-15T00:03:34.2763510Z 
2025-08-15T00:03:38.1026801Z 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
2025-08-15T00:03:38.1027926Z     features = self.backbone(images.tensors)
2025-08-15T00:03:38.1028675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/backbone_utils.py", line 58, in forward
2025-08-15T00:03:38.1029306Z     x = self.fpn(x)
2025-08-15T00:03:38.1029855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/feature_pyramid_network.py", line 194, in forward
2025-08-15T00:03:38.1030579Z     inner_top_down = F.interpolate(last_inner, size=feat_shape, mode="nearest")
2025-08-15T00:03:38.1030900Z 
2025-08-15T00:03:38.1030904Z 
2025-08-15T00:03:38.5956404Z W0815 00:03:38.594000 63381 site-packages/torch/_dynamo/convert_frame.py:1102] [30/8] torch._dynamo hit config.recompile_limit (8)
2025-08-15T00:03:38.5957689Z W0815 00:03:38.594000 63381 site-packages/torch/_dynamo/convert_frame.py:1102] [30/8]    function: 'torch_dynamo_resume_in_roi_align_at_255' (/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py:255)
2025-08-15T00:03:38.5958977Z W0815 00:03:38.594000 63381 site-packages/torch/_dynamo/convert_frame.py:1102] [30/8]    last reason: 30/7: tensor 'rois' requires_grad mismatch. expected requires_grad=1
2025-08-15T00:03:38.5960240Z W0815 00:03:38.594000 63381 site-packages/torch/_dynamo/convert_frame.py:1102] [30/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
2025-08-15T00:03:38.5961408Z W0815 00:03:38.594000 63381 site-packages/torch/_dynamo/convert_frame.py:1102] [30/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html
2025-08-15T00:03:43.8982515Z 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
2025-08-15T00:03:43.8983751Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-15T00:03:43.8984541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-15T00:03:43.8985507Z     v4 = masked_index(y_high, x_high)
2025-08-15T00:03:43.8986082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-15T00:03:43.8986631Z     return input[
2025-08-15T00:03:43.8986774Z 
2025-08-15T00:03:43.8986779Z 
2025-08-15T00:04:19.2105473Z 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
2025-08-15T00:04:19.2106612Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-15T00:04:19.2107512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-15T00:04:19.2108128Z     v4 = masked_index(y_high, x_high)
2025-08-15T00:04:19.2108784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-15T00:04:19.2109370Z     return input[
2025-08-15T00:04:19.2109513Z 
2025-08-15T00:04:19.2109518Z 
2025-08-15T00:04:41.5803911Z 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
2025-08-15T00:04:41.5805677Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-15T00:04:41.5806884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-15T00:04:41.5807613Z     v4 = masked_index(y_high, x_high)
2025-08-15T00:04:41.5808341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-15T00:04:41.5808891Z     return input[
2025-08-15T00:04:41.5809033Z 
2025-08-15T00:04:41.5809037Z 
2025-08-15T00:04:43.1248711Z E0815 00:04:43.123000 63381 site-packages/torch/_dynamo/utils.py:3104] RMSE (res-fp64): 0.00224, (ref-fp64): 0.00025 and shape=torch.Size([256]). res.dtype: torch.float32, multiplier: 3.000000, tol: 0.001000, use_larger_multiplier_for_smaller_tensor: 0
2025-08-15T00:04:43.1250052Z E0815 00:04:43.124000 63381 site-packages/torch/_dynamo/utils.py:2965] Accuracy failed for key name backbone.fpn.inner_blocks.0.0.bias.grad
2025-08-15T00:04:43.1522579Z Compilation time (from dynamo_timed): 242.734701166
2025-08-15T00:04:43.1551249Z fail_accuracy
2025-08-15T00:04:43.2242176Z TIMING: gc:0.04795 entire_frame_compile:235.20054 _recursive_pre_grad_passes:0.04171 _recursive_joint_graph_passes:2.03971 inductor_compile:86.99567 backend_compile:152.27527 _recursive_post_grad_passes:1.52271 async_compile.wait:7.19777 code_gen:37.10622 cudagraphify.get_container:0.02576 pad_mm_benchmark:0.38741 entire_backward_compile:7.53416 CUDAGraphNode.record:0.04652 total_wall_time:242.7347
2025-08-15T00:04:43.2245264Z STATS: call_* op count: 3588 | FakeTensor.__torch_dispatch__:50736 | FakeTensorMode.__torch_dispatch__:129464 | attempt fast:2042 | slow no contiguity match:201 | fast is_contiguous:1458 | slow both tensors nontrivially broadcast:383 | ProxyTorchDispatchMode.__torch_dispatch__:43757
2025-08-15T00:04:43.2246470Z Dynamo produced 41 graphs covering 1604 ops with 39 graph breaks (9 unique)
2025-08-15T00:05:06.0726119Z 
2025-08-15T00:05:09.0643846Z loading model: 0it [00:00, ?it/s]
2025-08-15T00:05:09.0644142Z loading model: 0it [00:02, ?it/s]
2025-08-15T00:05:09.0644434Z cuda train yolov3                             
2025-08-15T00:06:22.2294014Z W0815 00:06:22.228000 67945 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-15T00:06:22.2299843Z W0815 00:06:22.229000 67945 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-15T00:06:22.5091512Z W0815 00:06:22.508000 67945 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-15T00:06:22.5097322Z W0815 00:06:22.509000 67945 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-15T00:06:22.7929099Z W0815 00:06:22.792000 67945 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-15T00:06:22.7934741Z W0815 00:06:22.792000 67945 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-15T00:06:28.2497343Z cudagraph partition due to non gpu ops. Found from : 
2025-08-15T00:06:28.2499112Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-15T00:06:28.2499800Z     pred = mod(*cloned_inputs)
2025-08-15T00:06:28.2500252Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-15T00:06:28.2500723Z     return self.forward_once(x)
2025-08-15T00:06:28.2501187Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-15T00:06:28.2501714Z     yolo_out.append(module(x, out))
2025-08-15T00:06:28.2502181Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-15T00:06:28.2502657Z     self.create_grids((nx, ny), p.device)
2025-08-15T00:06:28.2503154Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-15T00:06:28.2503685Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-15T00:06:28.2503919Z 
2025-08-15T00:06:28.2504091Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-15T00:06:28.2504828Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-15T00:06:28.2505493Z     pred = mod(*cloned_inputs)
2025-08-15T00:06:28.2505927Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-15T00:06:28.2506393Z     return self.forward_once(x)
2025-08-15T00:06:28.2506853Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-15T00:06:28.2507361Z     yolo_out.append(module(x, out))
2025-08-15T00:06:28.2507811Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-15T00:06:28.2508380Z     self.create_grids((nx, ny), p.device)
2025-08-15T00:06:28.2508867Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 204, in create_grids
2025-08-15T00:06:28.2509376Z     self.anchor_vec = self.anchor_vec.to(device)
2025-08-15T00:06:28.2509608Z 
2025-08-15T00:06:28.2509778Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-15T00:06:28.2510512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-15T00:06:28.2511174Z     pred = mod(*cloned_inputs)
2025-08-15T00:06:28.2511603Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-15T00:06:28.2512099Z     return self.forward_once(x)
2025-08-15T00:06:28.2513045Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-15T00:06:28.2513546Z     yolo_out.append(module(x, out))
2025-08-15T00:06:28.2513996Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-15T00:06:28.2514472Z     self.create_grids((nx, ny), p.device)
2025-08-15T00:06:28.2514961Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 205, in create_grids
2025-08-15T00:06:28.2515469Z     self.anchor_wh = self.anchor_wh.to(device)
2025-08-15T00:06:28.2515684Z 
2025-08-15T00:06:28.2515838Z cudagraph partition due to non gpu ops. Found from : 
2025-08-15T00:06:28.2516555Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-15T00:06:28.2517216Z     pred = mod(*cloned_inputs)
2025-08-15T00:06:28.2517648Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-15T00:06:28.2518286Z     return self.forward_once(x)
2025-08-15T00:06:28.2518759Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-15T00:06:28.2519253Z     yolo_out.append(module(x, out))
2025-08-15T00:06:28.2519707Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-15T00:06:28.2520190Z     self.create_grids((nx, ny), p.device)
2025-08-15T00:06:28.2520684Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-15T00:06:28.2521199Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-15T00:06:28.2521440Z 
2025-08-15T00:06:28.2521611Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-15T00:06:28.2522346Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-15T00:06:28.2523010Z     pred = mod(*cloned_inputs)
2025-08-15T00:06:28.2523452Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-15T00:06:28.2523926Z     return self.forward_once(x)
2025-08-15T00:06:28.2524387Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-15T00:06:28.2524881Z     yolo_out.append(module(x, out))
2025-08-15T00:06:28.2525338Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-15T00:06:28.2525817Z     self.create_grids((nx, ny), p.device)
2025-08-15T00:06:28.2526306Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 204, in create_grids
2025-08-15T00:06:28.2526813Z     self.anchor_vec = self.anchor_vec.to(device)
2025-08-15T00:06:28.2527038Z 
2025-08-15T00:06:28.2527205Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-15T00:06:28.2527939Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-15T00:06:28.2528610Z     pred = mod(*cloned_inputs)
2025-08-15T00:06:28.2529091Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-15T00:06:28.2529554Z     return self.forward_once(x)
2025-08-15T00:06:28.2530016Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-15T00:06:28.2530505Z     yolo_out.append(module(x, out))
2025-08-15T00:06:28.2530960Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-15T00:06:28.2531432Z     self.create_grids((nx, ny), p.device)
2025-08-15T00:06:28.2531911Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 205, in create_grids
2025-08-15T00:06:28.2532422Z     self.anchor_wh = self.anchor_wh.to(device)
2025-08-15T00:06:28.2532644Z 
2025-08-15T00:06:28.2532795Z cudagraph partition due to non gpu ops. Found from : 
2025-08-15T00:06:28.2533508Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-15T00:06:28.2534257Z     pred = mod(*cloned_inputs)
2025-08-15T00:06:28.2534700Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-15T00:06:28.2535175Z     return self.forward_once(x)
2025-08-15T00:06:28.2535629Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-15T00:06:28.2536122Z     yolo_out.append(module(x, out))
2025-08-15T00:06:28.2536575Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-15T00:06:28.2537051Z     self.create_grids((nx, ny), p.device)
2025-08-15T00:06:28.2537535Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-15T00:06:28.2538059Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-15T00:06:28.2538292Z 
2025-08-15T00:06:28.2538466Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-15T00:06:28.2539207Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-15T00:06:28.2539940Z     pred = mod(*cloned_inputs)
2025-08-15T00:06:28.2540381Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-15T00:06:28.2540848Z     return self.forward_once(x)
2025-08-15T00:06:28.2541303Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-15T00:06:28.2542077Z     yolo_out.append(module(x, out))
2025-08-15T00:06:28.2542531Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-15T00:06:28.2543004Z     self.create_grids((nx, ny), p.device)
2025-08-15T00:06:28.2543485Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 204, in create_grids
2025-08-15T00:06:28.2543996Z     self.anchor_vec = self.anchor_vec.to(device)
2025-08-15T00:06:28.2544216Z 
2025-08-15T00:06:28.2544389Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-15T00:06:28.2545120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-15T00:06:28.2545774Z     pred = mod(*cloned_inputs)
2025-08-15T00:06:28.2546210Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-15T00:06:28.2546677Z     return self.forward_once(x)
2025-08-15T00:06:28.2547125Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-15T00:06:28.2547609Z     yolo_out.append(module(x, out))
2025-08-15T00:06:28.2548058Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-15T00:06:28.2548575Z     self.create_grids((nx, ny), p.device)
2025-08-15T00:06:28.2549060Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 205, in create_grids
2025-08-15T00:06:28.2549564Z     self.anchor_wh = self.anchor_wh.to(device)
2025-08-15T00:06:28.2549783Z 
2025-08-15T00:06:28.5042404Z cudagraph partition into 2 partitions
2025-08-15T00:07:12.0463724Z 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 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-15T00:07:12.0464833Z     pred = mod(*cloned_inputs)
2025-08-15T00:07:12.0465841Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-15T00:07:12.0466660Z     return self.forward_once(x)
2025-08-15T00:07:12.0475862Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 363, in forward_once
2025-08-15T00:07:12.0476368Z     x = module(x)
2025-08-15T00:07:12.0476506Z 
2025-08-15T00:07:12.0476517Z 
2025-08-15T00:07:17.1498008Z W0815 00:07:17.148000 67945 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-15T00:09:07.9256331Z cudagraph partition due to non gpu ops. Found from : 
2025-08-15T00:09:07.9259276Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-15T00:09:07.9259998Z     pred = mod(*cloned_inputs)
2025-08-15T00:09:07.9260460Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-15T00:09:07.9260946Z     return self.forward_once(x)
2025-08-15T00:09:07.9261411Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-15T00:09:07.9261906Z     yolo_out.append(module(x, out))
2025-08-15T00:09:07.9262357Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-15T00:09:07.9262831Z     self.create_grids((nx, ny), p.device)
2025-08-15T00:09:07.9263324Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-15T00:09:07.9263850Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-15T00:09:07.9264333Z 
2025-08-15T00:09:07.9264498Z cudagraph partition due to non gpu ops. Found from : 
2025-08-15T00:09:07.9265222Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-15T00:09:07.9265884Z     pred = mod(*cloned_inputs)
2025-08-15T00:09:07.9266320Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-15T00:09:07.9266785Z     return self.forward_once(x)
2025-08-15T00:09:07.9267243Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-15T00:09:07.9267731Z     yolo_out.append(module(x, out))
2025-08-15T00:09:07.9268181Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-15T00:09:07.9268761Z     self.create_grids((nx, ny), p.device)
2025-08-15T00:09:07.9269250Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-15T00:09:07.9269768Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-15T00:09:07.9270009Z 
2025-08-15T00:09:07.9270161Z cudagraph partition due to non gpu ops. Found from : 
2025-08-15T00:09:07.9270874Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-15T00:09:07.9271532Z     pred = mod(*cloned_inputs)
2025-08-15T00:09:07.9271962Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-15T00:09:07.9272427Z     return self.forward_once(x)
2025-08-15T00:09:07.9272885Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-15T00:09:07.9273369Z     yolo_out.append(module(x, out))
2025-08-15T00:09:07.9273821Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-15T00:09:07.9274294Z     self.create_grids((nx, ny), p.device)
2025-08-15T00:09:07.9274778Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-15T00:09:07.9275299Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-15T00:09:07.9275537Z 
2025-08-15T00:09:08.1800278Z cudagraph partition into 2 partitions
2025-08-15T00:09:50.3334673Z 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 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-15T00:09:50.3336449Z     pred = mod(*cloned_inputs)
2025-08-15T00:09:50.3337098Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-15T00:09:50.3337700Z     return self.forward_once(x)
2025-08-15T00:09:50.3338275Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 363, in forward_once
2025-08-15T00:09:50.3338926Z     x = module(x)
2025-08-15T00:09:50.3339103Z 
2025-08-15T00:09:50.3339109Z 
2025-08-15T00:09:53.6612295Z Compilation time (from dynamo_timed): 267.972853
2025-08-15T00:09:53.6664621Z pass
2025-08-15T00:09:53.7076530Z TIMING: gc:0.00763 entire_frame_compile:267.97285 _recursive_pre_grad_passes:0.04822 _recursive_joint_graph_passes:2.35737 _recursive_post_grad_passes:3.00695 async_compile.wait:4.86603 code_gen:88.72211 inductor_compile:136.40591 backend_compile:221.44217 cudagraphify.get_container:0.02485 CachingAutotuner.benchmark_all_configs:0.36352 CUDAGraphNode.record:0.01608 total_wall_time:267.97285
2025-08-15T00:09:53.7080634Z STATS: call_* op count: 1832 | FakeTensorMode.__torch_dispatch__:106739 | attempt fast:674 | fast is_contiguous:662 | FakeTensor.__torch_dispatch__:102585 | ProxyTorchDispatchMode.__torch_dispatch__:46257 | slow no contiguity match:12
2025-08-15T00:09:53.7081687Z Dynamo produced 4 graphs covering 1832 ops with 8 graph breaks (5 unique)
2025-08-15T00:10:05.7158840Z accuracy            pass_rate=73.68%
2025-08-15T00:10:05.7163135Z calls_captured      gmean=0.00x mean=514.658x
2025-08-15T00:10:05.7167266Z unique_graphs       gmean=0.00x mean=3.395x
2025-08-15T00:10:05.7171976Z graph_breaks        gmean=0.00x mean=6.395x
2025-08-15T00:10:05.7176179Z unique_graph_breaks gmean=0.00x mean=4.342x
2025-08-15T00:10:05.7180298Z autograd_captures   gmean=0.00x mean=0.000x
2025-08-15T00:10:05.7184387Z autograd_compiles   gmean=0.00x mean=0.000x
2025-08-15T00:10:05.7188607Z cudagraph_skips     gmean=0.00x mean=0.368x
2025-08-15T00:10:05.7189298Z compilation_latency mean=71.333 seconds
2025-08-15T00:10:08.3348426Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/training_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/dynamic_inductor_torchbench_training.csv
2025-08-15T00:10:08.6774328Z llava                               XFAIL
2025-08-15T00:10:08.6778205Z maml_omniglot                       PASS
2025-08-15T00:10:08.6782989Z microbench_unbacked_tolist_sum      PASS
2025-08-15T00:10:08.6787764Z mnasnet1_0                          PASS
2025-08-15T00:10:08.6792781Z mobilenet_v2                        PASS
2025-08-15T00:10:08.6797573Z mobilenet_v2_quantized_qat          XFAIL
2025-08-15T00:10:08.6802265Z mobilenet_v3_large                  PASS
2025-08-15T00:10:08.6807122Z moco                                PASS
2025-08-15T00:10:08.6811774Z nanogpt                             PASS
2025-08-15T00:10:08.6816544Z nvidia_deeprecommender              PASS
2025-08-15T00:10:08.6821286Z opacus_cifar10                      XFAIL
2025-08-15T00:10:08.6826080Z phlippe_densenet                    PASS
2025-08-15T00:10:08.6830995Z phlippe_resnet                      PASS
2025-08-15T00:10:08.6835647Z pytorch_CycleGAN_and_pix2pix        PASS
2025-08-15T00:10:08.6840268Z pytorch_stargan                     PASS
2025-08-15T00:10:08.6845523Z pytorch_unet                        XFAIL
2025-08-15T00:10:08.6850083Z resnet152                           PASS
2025-08-15T00:10:08.6854851Z resnet18                            PASS
2025-08-15T00:10:08.6859425Z resnet50                            PASS
2025-08-15T00:10:08.6864282Z resnet50_quantized_qat              XFAIL
2025-08-15T00:10:08.6868975Z resnext50_32x4d                     PASS
2025-08-15T00:10:08.6873956Z sam                                 XFAIL
2025-08-15T00:10:08.6878471Z shufflenet_v2_x1_0                  PASS
2025-08-15T00:10:08.6883220Z soft_actor_critic                   PASS
2025-08-15T00:10:08.6887860Z squeezenet1_1                       PASS
2025-08-15T00:10:08.6892596Z stable_diffusion_text_encoder       PASS
2025-08-15T00:10:08.6897249Z stable_diffusion_unet               XFAIL
2025-08-15T00:10:08.6902014Z timm_efficientnet                   XFAIL
2025-08-15T00:10:08.6906621Z timm_regnet                         PASS
2025-08-15T00:10:08.6911587Z timm_resnest                        PASS
2025-08-15T00:10:08.6916177Z timm_vision_transformer             PASS
2025-08-15T00:10:08.6920971Z timm_vision_transformer_large       XFAIL
2025-08-15T00:10:08.6925561Z timm_vovnet                         PASS
2025-08-15T00:10:08.6930309Z torch_multimodal_clip               PASS
2025-08-15T00:10:08.6935438Z tts_angular                         PASS
2025-08-15T00:10:08.6939938Z vgg16                               PASS
2025-08-15T00:10:08.6944937Z vision_maskrcnn                     FAIL:     accuracy=fail_accuracy, expected=pass
2025-08-15T00:10:08.6949564Z yolov3                              PASS
2025-08-15T00:10:08.6949799Z 
2025-08-15T00:10:08.6949955Z Error: 1 models have accuracy status regressed:
2025-08-15T00:10:08.6950298Z     vision_maskrcnn
2025-08-15T00:10:08.6950450Z 
2025-08-15T00:10:08.6950454Z 
2025-08-15T00:10:08.6950966Z If this change is expected, you can update `benchmarks/dynamo/ci_expected_accuracy/dynamic_inductor_torchbench_training.csv` to reflect the new baseline.
2025-08-15T00:10:08.6951684Z from pytorch/pytorch root, run
2025-08-15T00:10:08.6952216Z `python benchmarks/dynamo/ci_expected_accuracy/update_expected.py 1fc683cf17c8c673044538d10266c00f92987be2`
2025-08-15T00:10:08.6952879Z and then `git add` the resulting local changes to expected CSVs to your commit.
2025-08-15T00:10:08.6953460Z 
2025-08-15T00:10:08.7495910Z + sccache_epilogue
2025-08-15T00:10:08.7501673Z + echo '::group::Sccache Compilation Log'
2025-08-15T00:10:08.7502289Z ##[group]Sccache Compilation Log
2025-08-15T00:10:08.7502630Z + echo '=================== sccache compilation log ==================='
2025-08-15T00:10:08.7503024Z =================== sccache compilation log ===================
2025-08-15T00:10:08.7508618Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-08-15T00:10:08.7782182Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-08-15T00:10:08.7782823Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-08-15T00:10:08.7783267Z + sccache --show-stats
2025-08-15T00:10:08.7855814Z Compile requests                    212
2025-08-15T00:10:08.7856178Z Compile requests executed             0
2025-08-15T00:10:08.7856605Z Cache hits                            0
2025-08-15T00:10:08.7856991Z Cache misses                          0
2025-08-15T00:10:08.7857330Z Cache hits rate                       -
2025-08-15T00:10:08.7857613Z Cache timeouts                        0
2025-08-15T00:10:08.7857890Z Cache read errors                     0
2025-08-15T00:10:08.7858160Z Forced recaches                       0
2025-08-15T00:10:08.7858436Z Cache write errors                    0
2025-08-15T00:10:08.7858715Z Cache errors                          0
2025-08-15T00:10:08.7858982Z Compilations                          0
2025-08-15T00:10:08.7859272Z Compilation failures                  0
2025-08-15T00:10:08.7859568Z Non-cacheable compilations            0
2025-08-15T00:10:08.7859853Z Non-cacheable calls                   5
2025-08-15T00:10:08.7860148Z Non-compilation calls               207
2025-08-15T00:10:08.7860440Z Unsupported compiler calls            0
2025-08-15T00:10:08.7860744Z Average cache write               0.000 s
2025-08-15T00:10:08.7861045Z Average compiler                  0.000 s
2025-08-15T00:10:08.7861348Z Average cache read hit            0.000 s
2025-08-15T00:10:08.7861658Z Failed distributed compilations       0
2025-08-15T00:10:08.7861862Z 
2025-08-15T00:10:08.7861958Z Non-cacheable reasons:
2025-08-15T00:10:08.7862215Z -E                                    5
2025-08-15T00:10:08.7862400Z 
2025-08-15T00:10:08.7862632Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-15T00:10:08.7863069Z Version (client)                0.10.0
2025-08-15T00:10:08.7863351Z + sccache --stop-server
2025-08-15T00:10:08.7885968Z Stopping sccache server...
2025-08-15T00:10:08.7897075Z Compile requests                    212
2025-08-15T00:10:08.7897416Z Compile requests executed             0
2025-08-15T00:10:08.7897696Z Cache hits                            0
2025-08-15T00:10:08.7897962Z Cache misses                          0
2025-08-15T00:10:08.7898240Z Cache hits rate                       -
2025-08-15T00:10:08.7899749Z Cache timeouts                        0
2025-08-15T00:10:08.7900040Z Cache read errors                     0
2025-08-15T00:10:08.7900321Z Forced recaches                       0
2025-08-15T00:10:08.7900590Z Cache write errors                    0
2025-08-15T00:10:08.7900863Z Cache errors                          0
2025-08-15T00:10:08.7901135Z Compilations                          0
2025-08-15T00:10:08.7901409Z Compilation failures                  0
2025-08-15T00:10:08.7901702Z Non-cacheable compilations            0
2025-08-15T00:10:08.7902109Z Non-cacheable calls                   5
2025-08-15T00:10:08.7902451Z Non-compilation calls               207
2025-08-15T00:10:08.7902819Z Unsupported compiler calls            0
2025-08-15T00:10:08.7903166Z Average cache write               0.000 s
2025-08-15T00:10:08.7903473Z Average compiler                  0.000 s
2025-08-15T00:10:08.7903773Z Average cache read hit            0.000 s
2025-08-15T00:10:08.7904279Z Failed distributed compilations       0
2025-08-15T00:10:08.7904486Z 
2025-08-15T00:10:08.7904598Z Non-cacheable reasons:
2025-08-15T00:10:08.7904837Z -E                                    5
2025-08-15T00:10:08.7905029Z 
2025-08-15T00:10:08.7905255Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-15T00:10:08.7905680Z Version (client)                0.10.0
2025-08-15T00:10:08.7905995Z + echo ::endgroup::
2025-08-15T00:10:08.7906395Z ##[endgroup]
2025-08-15T00:10:08.7906594Z + cleanup_workspace
2025-08-15T00:10:08.7907042Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-08-15T00:10:08.7907760Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-08-15T00:10:08.7908540Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-08-15T00:10:08.7908976Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-08-15T00:10:08.7909695Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-08-15T00:10:08.7910245Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-08-15T00:10:08.7910676Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-08-15T00:10:09.8551419Z ##[error]Process completed with exit code 1.
2025-08-15T00:10:09.8623191Z Prepare all required actions
2025-08-15T00:10:09.8623551Z Getting action download info
2025-08-15T00:10:10.0479836Z ##[group]Run ./.github/actions/pytest-cache-upload
2025-08-15T00:10:10.0480160Z with:
2025-08-15T00:10:10.0480369Z   cache_dir: .pytest_cache
2025-08-15T00:10:10.0480603Z   shard: 2
2025-08-15T00:10:10.0480836Z   sha: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-15T00:10:10.0481161Z   test_config: dynamic_inductor_torchbench
2025-08-15T00:10:10.0481593Z   job_identifier: inductor-periodic_linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-08-15T00:10:10.0481990Z env:
2025-08-15T00:10:10.0482186Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:10.0482510Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:10.0483019Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:10.0483471Z ##[endgroup]
2025-08-15T00:10:10.0512835Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-15T00:10:10.0513103Z with:
2025-08-15T00:10:10.0513319Z   shell: bash
2025-08-15T00:10:10.0513513Z   timeout_minutes: 5
2025-08-15T00:10:10.0513731Z   max_attempts: 5
2025-08-15T00:10:10.0513947Z   retry_wait_seconds: 30
2025-08-15T00:10:10.0514259Z   command: set -eu
python3 -m pip install boto3==1.35.42

2025-08-15T00:10:10.0514601Z   polling_interval_seconds: 1
2025-08-15T00:10:10.0514856Z   warning_on_retry: true
2025-08-15T00:10:10.0515095Z   continue_on_error: false
2025-08-15T00:10:10.0515318Z env:
2025-08-15T00:10:10.0515508Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:10.0515808Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:10.0516315Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:10.0516767Z ##[endgroup]
2025-08-15T00:10:10.4493360Z Defaulting to user installation because normal site-packages is not writeable
2025-08-15T00:10:11.6538823Z Collecting boto3==1.35.42
2025-08-15T00:10:11.6722089Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-08-15T00:10:11.7288181Z Collecting s3transfer<0.11.0,>=0.10.0
2025-08-15T00:10:11.7324680Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-08-15T00:10:11.7371202Z 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)
2025-08-15T00:10:13.0861290Z Collecting botocore<1.36.0,>=1.35.42
2025-08-15T00:10:13.0900840Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-08-15T00:10:13.2368255Z 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)
2025-08-15T00:10:13.2371232Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (2.8.1)
2025-08-15T00:10:13.3853882Z 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,>=1.35.42->boto3==1.35.42) (1.15.0)
2025-08-15T00:10:13.4762785Z Installing collected packages: botocore, s3transfer, boto3
2025-08-15T00:10:14.0852564Z Successfully installed boto3-1.35.42 botocore-1.35.99 s3transfer-0.10.4
2025-08-15T00:10:15.1340913Z Command completed after 1 attempt(s).
2025-08-15T00:10:15.1417952Z ##[group]Run python3 .github/scripts/pytest_cache.py \
2025-08-15T00:10:15.1418376Z python3 .github/scripts/pytest_cache.py \
2025-08-15T00:10:15.1418709Z   --upload \
2025-08-15T00:10:15.1418993Z   --cache_dir $GITHUB_WORKSPACE/$CACHE_DIR \
2025-08-15T00:10:15.1419334Z   --pr_identifier $GITHUB_REF \
2025-08-15T00:10:15.1419664Z   --job_identifier $JOB_IDENTIFIER \
2025-08-15T00:10:15.1419989Z   --sha $SHA \
2025-08-15T00:10:15.1420242Z   --test_config $TEST_CONFIG \
2025-08-15T00:10:15.1420535Z   --shard $SHARD \
2025-08-15T00:10:15.1420793Z   --repo $REPO \
2025-08-15T00:10:15.1421055Z   --temp_dir $RUNNER_TEMP \
2025-08-15T00:10:15.1435100Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:10:15.1435457Z env:
2025-08-15T00:10:15.1435658Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:15.1435965Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:15.1436478Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:15.1436949Z   CACHE_DIR: .pytest_cache
2025-08-15T00:10:15.1437378Z   JOB_IDENTIFIER: inductor-periodic_linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-08-15T00:10:15.1437826Z   SHA: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-15T00:10:15.1438152Z   TEST_CONFIG: dynamic_inductor_torchbench
2025-08-15T00:10:15.1438441Z   SHARD: 2
2025-08-15T00:10:15.1438691Z   REPO: pytorch/pytorch
2025-08-15T00:10:15.1438924Z ##[endgroup]
2025-08-15T00:10:15.2925868Z PR identifier for `refs/heads/main` is `96e092540d6b3c4076e3d2bc6f1f9013`
2025-08-15T00:10:15.2928917Z Uploading cache with args Namespace(upload=True, download=False, cache_dir='/home/ec2-user/actions-runner/_work/pytorch/pytorch/.pytest_cache', pr_identifier='refs/heads/main', job_identifier='inductor-periodic_linux-jammy-cuda12.8-py3.10-gcc9-sm86', sha='1fc683cf17c8c673044538d10266c00f92987be2', test_config='dynamic_inductor_torchbench', shard='2', repo='pytorch/pytorch', temp_dir='/home/ec2-user/actions-runner/_work/_temp', bucket=None)
2025-08-15T00:10:15.2932114Z The pytest cache dir `/home/ec2-user/actions-runner/_work/pytorch/pytorch/.pytest_cache` does not exist. Skipping upload
2025-08-15T00:10:15.3154742Z ##[group]Run cat test/**/*_toprint.log || true
2025-08-15T00:10:15.3155127Z cat test/**/*_toprint.log || true
2025-08-15T00:10:15.3164183Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:10:15.3164528Z env:
2025-08-15T00:10:15.3164732Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:15.3165038Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:15.3165557Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:15.3166015Z ##[endgroup]
2025-08-15T00:10:15.3287792Z cat: 'test/**/*_toprint.log': No such file or directory
2025-08-15T00:10:15.3316951Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-08-15T00:10:15.3317294Z kill "$MONITOR_SCRIPT_PID"
2025-08-15T00:10:15.3325787Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:10:15.3326131Z env:
2025-08-15T00:10:15.3326333Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:15.3326639Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:15.3327156Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:15.3327808Z   MONITOR_SCRIPT_PID: 62749
2025-08-15T00:10:15.3328053Z ##[endgroup]
2025-08-15T00:10:15.3473988Z Prepare all required actions
2025-08-15T00:10:15.3474472Z Getting action download info
2025-08-15T00:10:15.4837783Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-15T00:10:15.7020782Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-08-15T00:10:16.0793406Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-08-15T00:10:16.0793735Z with:
2025-08-15T00:10:16.0794147Z   file-suffix: test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48132104835
2025-08-15T00:10:16.0794644Z   s3-bucket: gha-artifacts
2025-08-15T00:10:16.0794878Z env:
2025-08-15T00:10:16.0795077Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:16.0795394Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:16.0795905Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:16.0796372Z ##[endgroup]
2025-08-15T00:10:16.0819070Z ##[group]Run # Remove any previous test jsons if they exist
2025-08-15T00:10:16.0819486Z # Remove any previous test jsons if they exist
2025-08-15T00:10:16.0819819Z rm -f test-jsons-*.zip
2025-08-15T00:10:16.0820212Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-08-15T00:10:16.0829426Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:10:16.0829763Z env:
2025-08-15T00:10:16.0829962Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:16.0830278Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:16.0830792Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:16.0831450Z   FILE_SUFFIX: test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48132104835
2025-08-15T00:10:16.0831927Z ##[endgroup]
2025-08-15T00:10:16.1061338Z   adding: test/test-reports/inference_torchbench.json (deflated 99%)
2025-08-15T00:10:16.1111177Z   adding: test/test-reports/training_torchbench.json (deflated 99%)
2025-08-15T00:10:16.1151154Z ##[group]Run # Remove any previous test reports if they exist
2025-08-15T00:10:16.1151601Z # Remove any previous test reports if they exist
2025-08-15T00:10:16.1151964Z rm -f test-reports-*.zip
2025-08-15T00:10:16.1152403Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-08-15T00:10:16.1161451Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:10:16.1161799Z env:
2025-08-15T00:10:16.1162000Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:16.1162314Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:16.1162829Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:16.1163487Z   FILE_SUFFIX: test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48132104835
2025-08-15T00:10:16.1163980Z ##[endgroup]
2025-08-15T00:10:16.1247502Z   adding: test/test-reports/inference_torchbench.csv (deflated 63%)
2025-08-15T00:10:16.1251578Z   adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 93%)
2025-08-15T00:10:16.1253524Z   adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 78%)
2025-08-15T00:10:16.1254143Z   adding: test/test-reports/training_torchbench.csv (deflated 61%)
2025-08-15T00:10:16.1268554Z   adding: test/test-reports/training_torchbench_graph_breaks.csv (deflated 97%)
2025-08-15T00:10:16.1270699Z   adding: test/test-reports/training_torchbench_graph_break_deduped.csv (deflated 80%)
2025-08-15T00:10:16.1297183Z ##[group]Run # Remove any previous usage logs if they exist
2025-08-15T00:10:16.1297611Z # Remove any previous usage logs if they exist
2025-08-15T00:10:16.1297951Z rm -f logs-*.zip
2025-08-15T00:10:16.1298268Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-08-15T00:10:16.1298915Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-08-15T00:10:16.1307861Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:10:16.1308205Z env:
2025-08-15T00:10:16.1308521Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:16.1308838Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:16.1309349Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:16.1309999Z   FILE_SUFFIX: test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48132104835
2025-08-15T00:10:16.1310476Z ##[endgroup]
2025-08-15T00:10:16.1518847Z   adding: usage_log.txt (deflated 96%)
2025-08-15T00:10:16.1534379Z 
2025-08-15T00:10:16.1534812Z zip error: Nothing to do! (logs-test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48132104835.zip)
2025-08-15T00:10:16.1559640Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-08-15T00:10:16.1560118Z # Remove any previous debugging artifacts if they exist
2025-08-15T00:10:16.1560506Z rm -f debug-*.zip
2025-08-15T00:10:16.1560759Z if [ -d 'test/debug' ]; then
2025-08-15T00:10:16.1561088Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-08-15T00:10:16.1561399Z fi
2025-08-15T00:10:16.1569756Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:10:16.1570090Z env:
2025-08-15T00:10:16.1570286Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:16.1570594Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:16.1571100Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:16.1571755Z   FILE_SUFFIX: test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48132104835
2025-08-15T00:10:16.1572241Z ##[endgroup]
2025-08-15T00:10:16.1657880Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-15T00:10:16.1658182Z with:
2025-08-15T00:10:16.1658385Z   s3-bucket: gha-artifacts
2025-08-15T00:10:16.1658695Z   s3-prefix: pytorch/pytorch/16976338999/1/artifact

2025-08-15T00:10:16.1659032Z   retention-days: 14
2025-08-15T00:10:16.1659278Z   if-no-files-found: warn
2025-08-15T00:10:16.1659541Z   path: test-jsons-*.zip
2025-08-15T00:10:16.1659771Z   name: artifact
2025-08-15T00:10:16.1659983Z   region: us-east-1
2025-08-15T00:10:16.1660187Z env:
2025-08-15T00:10:16.1660383Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:16.1660695Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:16.1661211Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:16.1661660Z ##[endgroup]
2025-08-15T00:10:16.5212879Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-15T00:10:16.5213311Z With the provided path, there will be 1 file uploaded
2025-08-15T00:10:16.5213737Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact
2025-08-15T00:10:16.5286514Z Starting upload of test-jsons-test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48132104835.zip
2025-08-15T00:10:16.6979198Z Finished upload of test-jsons-test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48132104835.zip
2025-08-15T00:10:16.7279167Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-15T00:10:16.7279469Z with:
2025-08-15T00:10:16.7279668Z   s3-bucket: gha-artifacts
2025-08-15T00:10:16.7279968Z   s3-prefix: pytorch/pytorch/16976338999/1/artifact

2025-08-15T00:10:16.7280287Z   retention-days: 14
2025-08-15T00:10:16.7280523Z   if-no-files-found: error
2025-08-15T00:10:16.7280776Z   path: test-reports-*.zip
2025-08-15T00:10:16.7281016Z   name: artifact
2025-08-15T00:10:16.7281223Z   region: us-east-1
2025-08-15T00:10:16.7281415Z env:
2025-08-15T00:10:16.7281603Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:16.7281905Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:16.7282411Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:16.7282864Z ##[endgroup]
2025-08-15T00:10:17.0682315Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-15T00:10:17.0683019Z With the provided path, there will be 1 file uploaded
2025-08-15T00:10:17.0683440Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact
2025-08-15T00:10:17.0754939Z Starting upload of test-reports-test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48132104835.zip
2025-08-15T00:10:17.2200349Z Finished upload of test-reports-test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48132104835.zip
2025-08-15T00:10:17.2489442Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-15T00:10:17.2489749Z with:
2025-08-15T00:10:17.2489957Z   s3-bucket: gha-artifacts
2025-08-15T00:10:17.2490257Z   s3-prefix: pytorch/pytorch/16976338999/1/artifact

2025-08-15T00:10:17.2490576Z   retention-days: 14
2025-08-15T00:10:17.2490819Z   if-no-files-found: ignore
2025-08-15T00:10:17.2491074Z   path: logs-*.zip
2025-08-15T00:10:17.2491286Z   name: artifact
2025-08-15T00:10:17.2491499Z   region: us-east-1
2025-08-15T00:10:17.2491722Z env:
2025-08-15T00:10:17.2491913Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:17.2492234Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:17.2492748Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:17.2493198Z ##[endgroup]
2025-08-15T00:10:17.5801721Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-15T00:10:17.5802133Z With the provided path, there will be 1 file uploaded
2025-08-15T00:10:17.5802545Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact
2025-08-15T00:10:17.5875532Z Starting upload of logs-test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48132104835.zip
2025-08-15T00:10:17.7732677Z Finished upload of logs-test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48132104835.zip
2025-08-15T00:10:17.8024439Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-15T00:10:17.8024744Z with:
2025-08-15T00:10:17.8024947Z   s3-bucket: gha-artifacts
2025-08-15T00:10:17.8025264Z   s3-prefix: pytorch/pytorch/16976338999/1/artifact

2025-08-15T00:10:17.8025595Z   retention-days: 14
2025-08-15T00:10:17.8025836Z   if-no-files-found: ignore
2025-08-15T00:10:17.8026090Z   path: debug-*.zip
2025-08-15T00:10:17.8026296Z   name: artifact
2025-08-15T00:10:17.8026506Z   region: us-east-1
2025-08-15T00:10:17.8026713Z env:
2025-08-15T00:10:17.8026902Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:17.8027215Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:17.8027731Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:17.8028185Z ##[endgroup]
2025-08-15T00:10:18.1329527Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-08-15T00:10:18.1619622Z ##[group]Run # shellcheck disable=SC2156
2025-08-15T00:10:18.1619983Z # shellcheck disable=SC2156
2025-08-15T00:10:18.1620518Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-08-15T00:10:18.1631426Z shell: /usr/bin/bash -e {0}
2025-08-15T00:10:18.1631690Z env:
2025-08-15T00:10:18.1631894Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:18.1632215Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:18.1632741Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:18.1633211Z ##[endgroup]
2025-08-15T00:10:18.5552744Z ##[group]Run seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a
2025-08-15T00:10:18.5553196Z with:
2025-08-15T00:10:18.5553613Z   name: coredumps-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu
2025-08-15T00:10:18.5554093Z   retention-days: 14
2025-08-15T00:10:18.5554335Z   if-no-files-found: ignore
2025-08-15T00:10:18.5554600Z   path: ./**/core.[1-9]*
2025-08-15T00:10:18.5554856Z   s3-bucket: gha-artifacts
2025-08-15T00:10:18.5555104Z   region: us-east-1
2025-08-15T00:10:18.5555318Z env:
2025-08-15T00:10:18.5555525Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:18.5556024Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:18.5556548Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:18.5557011Z ##[endgroup]
2025-08-15T00:10:30.8788968Z No files were found with the provided path: ./**/core.[1-9]*. No artifacts will be uploaded.
2025-08-15T00:10:30.9205520Z Prepare all required actions
2025-08-15T00:10:30.9205860Z Getting action download info
2025-08-15T00:10:31.0258171Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-08-15T00:10:31.0258509Z with:
2025-08-15T00:10:31.0258710Z   job_id: 48132104835
2025-08-15T00:10:31.0259184Z   job_name: cuda12.8-py3.10-gcc9-sm86 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-15T00:10:31.0259714Z   workflow_name: inductor-periodic
2025-08-15T00:10:31.0260006Z   workflow_run_id: 16976338999
2025-08-15T00:10:31.0260270Z   workflow_attempt: 1
2025-08-15T00:10:31.0260493Z env:
2025-08-15T00:10:31.0260714Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:31.0261032Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:31.0261551Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:31.0262012Z ##[endgroup]
2025-08-15T00:10:31.0277446Z ##[group]Run echo "workflow_id: 16976338999"
2025-08-15T00:10:31.0277811Z echo "workflow_id: 16976338999"
2025-08-15T00:10:31.0278119Z echo "workflow_attempt: 1"
2025-08-15T00:10:31.0278495Z echo "workflow_Name: inductor-periodic"
2025-08-15T00:10:31.0278861Z echo "job_id: 48132104835"
2025-08-15T00:10:31.0279473Z echo "job_name:  cuda12.8-py3.10-gcc9-sm86 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)"
2025-08-15T00:10:31.0280053Z echo "artifact_prefix: "
2025-08-15T00:10:31.0280350Z python3 --version
2025-08-15T00:10:31.0289326Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:10:31.0289688Z env:
2025-08-15T00:10:31.0289889Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:31.0290210Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:31.0290730Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:31.0291187Z ##[endgroup]
2025-08-15T00:10:31.0324769Z workflow_id: 16976338999
2025-08-15T00:10:31.0325043Z workflow_attempt: 1
2025-08-15T00:10:31.0325548Z workflow_Name: inductor-periodic
2025-08-15T00:10:31.0325927Z job_id: 48132104835
2025-08-15T00:10:31.0326725Z job_name:  cuda12.8-py3.10-gcc9-sm86 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-15T00:10:31.0327403Z artifact_prefix: 
2025-08-15T00:10:31.0342178Z Python 3.9.23
2025-08-15T00:10:31.0392255Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-15T00:10:31.0392544Z with:
2025-08-15T00:10:31.0392731Z   shell: bash
2025-08-15T00:10:31.0392943Z   timeout_minutes: 5
2025-08-15T00:10:31.0393172Z   max_attempts: 5
2025-08-15T00:10:31.0393404Z   retry_wait_seconds: 30
2025-08-15T00:10:31.0393909Z   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

2025-08-15T00:10:31.0394452Z   polling_interval_seconds: 1
2025-08-15T00:10:31.0394714Z   warning_on_retry: true
2025-08-15T00:10:31.0394962Z   continue_on_error: false
2025-08-15T00:10:31.0395208Z env:
2025-08-15T00:10:31.0395412Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:31.0395716Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:31.0396237Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:31.0396702Z ##[endgroup]
2025-08-15T00:10:31.3809837Z Defaulting to user installation because normal site-packages is not writeable
2025-08-15T00:10:31.4629441Z Collecting python-dateutil==2.8.2
2025-08-15T00:10:31.4790122Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-08-15T00:10:31.4942517Z Requirement already satisfied: boto3==1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (1.35.42)
2025-08-15T00:10:32.0529482Z Collecting pandas==2.1.3
2025-08-15T00:10:32.0590205Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-08-15T00:10:32.2011760Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-08-15T00:10:32.2027078Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-08-15T00:10:32.2071701Z 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)
2025-08-15T00:10:32.2076251Z 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)
2025-08-15T00:10:32.2079788Z 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)
2025-08-15T00:10:33.2099511Z Collecting numpy<2,>=1.22.4
2025-08-15T00:10:33.2141001Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-08-15T00:10:33.3945486Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-08-15T00:10:33.4313939Z Collecting tzdata>=2022.1
2025-08-15T00:10:33.4353595Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-08-15T00:10:33.4484204Z 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)
2025-08-15T00:10:33.4487559Z 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)
2025-08-15T00:10:33.4544939Z 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)
2025-08-15T00:10:33.4658577Z 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)
2025-08-15T00:10:33.4760450Z 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)
2025-08-15T00:10:33.4766051Z 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) (4.14.1)
2025-08-15T00:10:33.6496275Z Installing collected packages: python-dateutil, tzdata, numpy, pandas
2025-08-15T00:10:38.6561114Z Successfully installed numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-08-15T00:10:39.1264960Z Command completed after 1 attempt(s).
2025-08-15T00:10:39.1341062Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-15T00:10:39.1342008Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-15T00:10:39.1342503Z   --workflow-run-id "16976338999" \
2025-08-15T00:10:39.1342851Z   --workflow-name "inductor-periodic" \
2025-08-15T00:10:39.1343207Z   --workflow-run-attempt "1" \
2025-08-15T00:10:39.1343512Z   --job-id "48132104835" \
2025-08-15T00:10:39.1344069Z   --job-name "cuda12.8-py3.10-gcc9-sm86 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)" \
2025-08-15T00:10:39.1344641Z   --local-path "" \
2025-08-15T00:10:39.1344926Z   --artifact-prefix ""
2025-08-15T00:10:39.1354013Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:10:39.1354374Z env:
2025-08-15T00:10:39.1354582Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:39.1354900Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:39.1355456Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:39.1356130Z ##[endgroup]
2025-08-15T00:10:41.9540635Z repo: pytorch/pytorch
2025-08-15T00:10:41.9540964Z Search for test log in s3 bucket: ossci-utilization
2025-08-15T00:10:41.9541817Z Downloading logs-test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48132104835.zip
2025-08-15T00:10:41.9543172Z extracting usage_log.txt from zip file logs-test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48132104835.zip
2025-08-15T00:10:41.9543827Z Converted Log Model: UtilizationMetadata:
2025-08-15T00:10:41.9545178Z  UtilizationMetadata(level='metadata', workflow_id='16976338999', job_id='48132104835', workflow_name='inductor-periodic', job_name='cuda12.8-py3.10-gcc9-sm86 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1755211601, gpu_count=1, cpu_count=16, gpu_type='pynvml', error=None)
2025-08-15T00:10:41.9546642Z [Db Segments] detected pytest cmd: 16, generated segments: 16
2025-08-15T00:10:41.9547024Z [db model] Peek db timeseries 
2025-08-15T00:10:41.9547265Z :{
2025-08-15T00:10:41.9547447Z     "created_at": 1755216641,
2025-08-15T00:10:41.9547696Z     "type": "utilization",
2025-08-15T00:10:41.9547933Z     "tags": [
2025-08-15T00:10:41.9548116Z         "record"
2025-08-15T00:10:41.9548410Z     ],
2025-08-15T00:10:41.9548601Z     "time_stamp": 1755211601,
2025-08-15T00:10:41.9548860Z     "repo": "pytorch/pytorch",
2025-08-15T00:10:41.9549114Z     "workflow_id": 16976338999,
2025-08-15T00:10:41.9549358Z     "run_attempt": 1,
2025-08-15T00:10:41.9549574Z     "job_id": 48132104835,
2025-08-15T00:10:41.9549830Z     "workflow_name": "inductor-periodic",
2025-08-15T00:10:41.9550378Z     "job_name": "cuda12.8-py3.10-gcc9-sm86 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)",
2025-08-15T00:10:41.9550882Z     "json_data": "{}"
2025-08-15T00:10:41.9551088Z }
2025-08-15T00:10:41.9551536Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48132104835/metadata
2025-08-15T00:10:41.9552373Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48132104835/metadata 
2025-08-15T00:10:41.9553219Z Writing 997 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48132104835/time_series
2025-08-15T00:10:41.9554104Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48132104835/time_series 
2025-08-15T00:10:42.0732049Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-08-15T00:10:42.0732677Z with:
2025-08-15T00:10:42.0732953Z env:
2025-08-15T00:10:42.0733238Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:42.0733689Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:42.0734496Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:42.0735194Z ##[endgroup]
2025-08-15T00:10:42.0757363Z ##[group]Run set -eou pipefail
2025-08-15T00:10:42.0757845Z set -eou pipefail
2025-08-15T00:10:42.0758233Z 
2025-08-15T00:10:42.0758742Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-08-15T00:10:42.0759410Z for _ in $(seq 1440); do
2025-08-15T00:10:42.0759879Z     # Break if no ssh session exists anymore
2025-08-15T00:10:42.0760379Z     if [ "$(who)" = "" ]; then
2025-08-15T00:10:42.0760810Z       break
2025-08-15T00:10:42.0761182Z     fi
2025-08-15T00:10:42.0761478Z     echo "."
2025-08-15T00:10:42.0761808Z     sleep 5
2025-08-15T00:10:42.0762145Z done
2025-08-15T00:10:42.0774904Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:10:42.0775419Z env:
2025-08-15T00:10:42.0775716Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:42.0776183Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:42.0776987Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:42.0777978Z ##[endgroup]
2025-08-15T00:10:42.0807874Z Holding runner for 2 hours until all ssh sessions have logged out
2025-08-15T00:10:42.0903955Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-15T00:10:42.0904485Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-15T00:10:42.0904878Z # shellcheck disable=SC2046
2025-08-15T00:10:42.0905196Z docker stop $(docker ps -q) || true
2025-08-15T00:10:42.0905522Z # Prune all of the docker images
2025-08-15T00:10:42.0905833Z docker system prune -af
2025-08-15T00:10:42.0914766Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:10:42.0915114Z env:
2025-08-15T00:10:42.0915316Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:10:42.0915620Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:10:42.0916142Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:42.0916617Z ##[endgroup]
2025-08-15T00:10:53.1657725Z 42f68e3f3393
2025-08-15T00:10:55.8140866Z Deleted Containers:
2025-08-15T00:10:55.8141318Z 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:10:55.8143436Z 
2025-08-15T00:11:15.8560402Z Deleted Images:
2025-08-15T00:11:15.8561682Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-15T00:11:15.8563531Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:050f239443bf26df408844afdffcd5ccf5a75a6adfa00bd4f0d2af41684beff7
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2025-08-15T00:11:15.8611932Z untagged: public.ecr.aws/docker/library/python:3.13
2025-08-15T00:11:15.8612598Z untagged: public.ecr.aws/docker/library/python@sha256:50cbf8e58ca53a806b99250b1ba2d16c19433e8c42e7eb4ac4ea924b095e280b
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2025-08-15T00:11:15.8618834Z 
2025-08-15T00:11:15.8618950Z Total reclaimed space: 79.78GB
2025-08-15T00:11:15.8675811Z ##[group]Run set +e
2025-08-15T00:11:15.8676099Z set +e
2025-08-15T00:11:15.8676306Z set -x
2025-08-15T00:11:15.8676511Z 
2025-08-15T00:11:15.8676698Z nvidia-smi
2025-08-15T00:11:15.8677115Z # NB: Surprisingly, nvidia-smi command returns successfully with return code 0 even in
2025-08-15T00:11:15.8677777Z # the case where the driver has already crashed as it still can get the driver version
2025-08-15T00:11:15.8678391Z # and some basic information like the bus ID.  However, the rest of the information
2025-08-15T00:11:15.8678850Z # would be missing (ERR!), for example:
2025-08-15T00:11:15.8679143Z #
2025-08-15T00:11:15.8679430Z # +-----------------------------------------------------------------------------+
2025-08-15T00:11:15.8679916Z # | NVIDIA-SMI 525.89.02    Driver Version: 525.89.02    CUDA Version: 12.0     |
2025-08-15T00:11:15.8680567Z # |-------------------------------+----------------------+----------------------+
2025-08-15T00:11:15.8681052Z # | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
2025-08-15T00:11:15.8681580Z # | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
2025-08-15T00:11:15.8682021Z # |                               |                      |               MIG M. |
2025-08-15T00:11:15.8682363Z # |===============================+======================+======================|
2025-08-15T00:11:15.8682749Z # |   0  ERR!                Off  | 00000000:00:1E.0 Off |                 ERR! |
2025-08-15T00:11:15.8683181Z # |ERR!  ERR! ERR!    ERR! / ERR! |   4184MiB / 23028MiB |    ERR!      Default |
2025-08-15T00:11:15.8683582Z # |                               |                      |                 ERR! |
2025-08-15T00:11:15.8683980Z # +-------------------------------+----------------------+----------------------+
2025-08-15T00:11:15.8684321Z #
2025-08-15T00:11:15.8684602Z # +-----------------------------------------------------------------------------+
2025-08-15T00:11:15.8685018Z # | Processes:                                                                  |
2025-08-15T00:11:15.8685458Z # |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
2025-08-15T00:11:15.8685865Z # |        ID   ID                                                   Usage      |
2025-08-15T00:11:15.8686215Z # |=============================================================================|
2025-08-15T00:11:15.8686599Z # +-----------------------------------------------------------------------------+
2025-08-15T00:11:15.8686946Z #
2025-08-15T00:11:15.8687299Z # This should be reported as a failure instead as it will guarantee to fail when
2025-08-15T00:11:15.8687791Z # Docker tries to run with --gpus all
2025-08-15T00:11:15.8688124Z #
2025-08-15T00:11:15.8688470Z # So, the correct check here is to query one of the missing piece of info like
2025-08-15T00:11:15.8688949Z # GPU name, so that the command can fail accordingly
2025-08-15T00:11:15.8689407Z nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
2025-08-15T00:11:15.8689810Z NVIDIA_SMI_STATUS=$?
2025-08-15T00:11:15.8690062Z 
2025-08-15T00:11:15.8690470Z # These are acceptable return code from nvidia-smi as copied from setup-nvidia GitHub action
2025-08-15T00:11:15.8691060Z if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
2025-08-15T00:11:15.8691604Z   echo "NVIDIA driver installation has failed, shutting down the runner..."
2025-08-15T00:11:15.8692066Z   .github/scripts/stop_runner_service.sh
2025-08-15T00:11:15.8692383Z fi
2025-08-15T00:11:15.8692585Z 
2025-08-15T00:11:15.8693082Z # For runner with multiple GPUs, we also want to confirm that the number of GPUs are the
2025-08-15T00:11:15.8693666Z # power of 2, i.e. 1, 2, 4, or 8. This is to avoid flaky test issue when one GPU fails
2025-08-15T00:11:15.8694160Z # https://github.com/pytorch/test-infra/issues/4000
2025-08-15T00:11:15.8694569Z GPU_COUNT=$(nvidia-smi --list-gpus | wc -l)
2025-08-15T00:11:15.8694899Z NVIDIA_SMI_STATUS=$?
2025-08-15T00:11:15.8695162Z 
2025-08-15T00:11:15.8695571Z # These are acceptable return code from nvidia-smi as copied from setup-nvidia GitHub action
2025-08-15T00:11:15.8696164Z if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
2025-08-15T00:11:15.8696699Z   echo "NVIDIA driver installation has failed, shutting down the runner..."
2025-08-15T00:11:15.8697267Z   .github/scripts/stop_runner_service.sh
2025-08-15T00:11:15.8697579Z fi
2025-08-15T00:11:15.8697778Z 
2025-08-15T00:11:15.8698025Z # Check the GPU count to be a power of 2
2025-08-15T00:11:15.8698540Z if [ "$GPU_COUNT" -le 8 ] && [ "$GPU_COUNT" -ne 1 ] && [ "$GPU_COUNT" -ne 2 ] && [ "$GPU_COUNT" -ne 4 ] && [ "$GPU_COUNT" -ne 8 ]; then
2025-08-15T00:11:15.8699224Z   echo "NVIDIA driver detects $GPU_COUNT GPUs. The runner has a broken GPU, shutting it down..."
2025-08-15T00:11:15.8699752Z   .github/scripts/stop_runner_service.sh
2025-08-15T00:11:15.8700059Z fi
2025-08-15T00:11:15.8713730Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:11:15.8714082Z env:
2025-08-15T00:11:15.8714292Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:11:15.8714614Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:11:15.8715137Z   DOCKER_CONTAINER_ID: 42f68e3f3393d2aadfd4c7475d48048ea1a0bfe0a796261616ad655d8d632587
2025-08-15T00:11:15.8715610Z ##[endgroup]
2025-08-15T00:11:15.8750957Z + nvidia-smi
2025-08-15T00:11:15.8951726Z Fri Aug 15 00:11:15 2025       
2025-08-15T00:11:15.8952174Z +-----------------------------------------------------------------------------------------+
2025-08-15T00:11:15.8952685Z | NVIDIA-SMI 570.133.07             Driver Version: 570.133.07     CUDA Version: 12.8     |
2025-08-15T00:11:15.8953163Z |-----------------------------------------+------------------------+----------------------+
2025-08-15T00:11:15.8953652Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-08-15T00:11:15.8954177Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-08-15T00:11:15.8954603Z |                                         |                        |               MIG M. |
2025-08-15T00:11:15.8954925Z |=========================================+========================+======================|
2025-08-15T00:11:15.9114480Z |   0  NVIDIA A10G                    On  |   00000000:00:1E.0 Off |                    0 |
2025-08-15T00:11:15.9114999Z |  0%   32C    P8             16W /  300W |       0MiB /  23028MiB |      0%      Default |
2025-08-15T00:11:15.9115407Z |                                         |                        |                  N/A |
2025-08-15T00:11:15.9115794Z +-----------------------------------------+------------------------+----------------------+
2025-08-15T00:11:15.9119306Z                                                                                          
2025-08-15T00:11:15.9119768Z +-----------------------------------------------------------------------------------------+
2025-08-15T00:11:15.9120192Z | Processes:                                                                              |
2025-08-15T00:11:15.9120623Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-08-15T00:11:15.9121030Z |        ID   ID                                                               Usage      |
2025-08-15T00:11:15.9121670Z |=========================================================================================|
2025-08-15T00:11:15.9124427Z |  No running processes found                                                             |
2025-08-15T00:11:15.9124885Z +-----------------------------------------------------------------------------------------+
2025-08-15T00:11:16.1766752Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
2025-08-15T00:11:16.1940856Z NVIDIA A10G
2025-08-15T00:11:16.1984554Z + NVIDIA_SMI_STATUS=0
2025-08-15T00:11:16.1985011Z + '[' 0 -ne 0 ']'
2025-08-15T00:11:16.1992450Z ++ nvidia-smi --list-gpus
2025-08-15T00:11:16.1993306Z ++ wc -l
2025-08-15T00:11:16.2208529Z + GPU_COUNT=1
2025-08-15T00:11:16.2208748Z + NVIDIA_SMI_STATUS=0
2025-08-15T00:11:16.2208971Z + '[' 0 -ne 0 ']'
2025-08-15T00:11:16.2209175Z + '[' 1 -le 8 ']'
2025-08-15T00:11:16.2209365Z + '[' 1 -ne 1 ']'
2025-08-15T00:11:16.2293888Z Post job cleanup.
2025-08-15T00:11:16.2333793Z Post job cleanup.
2025-08-15T00:11:16.3367212Z [command]/usr/bin/git version
2025-08-15T00:11:16.3415550Z git version 2.47.1
2025-08-15T00:11:16.3454213Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/26fccc58-b427-411b-9247-6ea4fe771263/.gitconfig'
2025-08-15T00:11:16.3464558Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/26fccc58-b427-411b-9247-6ea4fe771263' before making global git config changes
2025-08-15T00:11:16.3465423Z Adding repository directory to the temporary git global config as a safe directory
2025-08-15T00:11:16.3470416Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-15T00:11:16.3519171Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-15T00:11:16.3566263Z [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' || :"
2025-08-15T00:11:16.3987818Z Entering 'android/libs/fbjni'
2025-08-15T00:11:16.4069225Z Entering 'third_party/FP16'
2025-08-15T00:11:16.4150988Z Entering 'third_party/FXdiv'
2025-08-15T00:11:16.4232214Z Entering 'third_party/NNPACK'
2025-08-15T00:11:16.4316789Z Entering 'third_party/NVTX'
2025-08-15T00:11:16.4398736Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-15T00:11:16.4479696Z Entering 'third_party/XNNPACK'
2025-08-15T00:11:16.4575903Z Entering 'third_party/aiter'
2025-08-15T00:11:16.4658283Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-15T00:11:16.4750427Z Entering 'third_party/benchmark'
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2025-08-15T00:11:16.4925420Z Entering 'third_party/cpp-httplib'
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2025-08-15T00:11:16.5087242Z Entering 'third_party/cudnn_frontend'
2025-08-15T00:11:16.5170707Z Entering 'third_party/cutlass'
2025-08-15T00:11:16.5267749Z Entering 'third_party/fbgemm'
2025-08-15T00:11:16.5350245Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-15T00:11:16.5426673Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-15T00:11:16.5512056Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-15T00:11:16.5594324Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-15T00:11:16.5684796Z Entering 'third_party/fbgemm/external/googletest'
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2025-08-15T00:11:16.5922911Z Entering 'third_party/flash-attention'
2025-08-15T00:11:16.6002883Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-15T00:11:16.6088255Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-15T00:11:16.6176982Z Entering 'third_party/flatbuffers'
2025-08-15T00:11:16.6261277Z Entering 'third_party/fmt'
2025-08-15T00:11:16.6340075Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-15T00:11:16.6420196Z Entering 'third_party/gloo'
2025-08-15T00:11:16.6500659Z Entering 'third_party/googletest'
2025-08-15T00:11:16.6582245Z Entering 'third_party/ideep'
2025-08-15T00:11:16.6661345Z Entering 'third_party/ideep/mkl-dnn'
2025-08-15T00:11:16.6748795Z Entering 'third_party/ittapi'
2025-08-15T00:11:16.6828694Z Entering 'third_party/kineto'
2025-08-15T00:11:16.6913672Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-15T00:11:16.6990405Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-15T00:11:16.7070178Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-15T00:11:16.7150924Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-15T00:11:16.7228926Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-15T00:11:16.7305590Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-15T00:11:16.7392220Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-15T00:11:16.7471455Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-15T00:11:16.7549885Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-15T00:11:16.7629625Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-15T00:11:16.7712405Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-15T00:11:16.7790634Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-15T00:11:16.7876328Z Entering 'third_party/kleidiai'
2025-08-15T00:11:16.7957262Z Entering 'third_party/mimalloc'
2025-08-15T00:11:16.8037080Z Entering 'third_party/nlohmann'
2025-08-15T00:11:16.8120298Z Entering 'third_party/onnx'
2025-08-15T00:11:16.8218196Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-15T00:11:16.8307114Z Entering 'third_party/opentelemetry-cpp'
2025-08-15T00:11:16.8387568Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-15T00:11:16.8466465Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-15T00:11:16.8543994Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-15T00:11:16.8621610Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-15T00:11:16.8700553Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-15T00:11:16.8776393Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-15T00:11:16.8852680Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-15T00:11:16.8935789Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-15T00:11:16.9015801Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-15T00:11:16.9100109Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-15T00:11:16.9201891Z Entering 'third_party/pocketfft'
2025-08-15T00:11:16.9283425Z Entering 'third_party/protobuf'
2025-08-15T00:11:16.9368217Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-15T00:11:16.9445259Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-15T00:11:16.9527684Z Entering 'third_party/psimd'
2025-08-15T00:11:16.9609966Z Entering 'third_party/pthreadpool'
2025-08-15T00:11:16.9689689Z Entering 'third_party/pybind11'
2025-08-15T00:11:16.9770637Z Entering 'third_party/python-peachpy'
2025-08-15T00:11:16.9850679Z Entering 'third_party/sleef'
2025-08-15T00:11:16.9931811Z Entering 'third_party/tensorpipe'
2025-08-15T00:11:17.0012407Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-15T00:11:17.0092931Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-15T00:11:17.0173879Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-15T00:11:17.0257111Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-15T00:11:17.0331639Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-15T00:11:17.0442807Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-15T00:11:17.0470025Z http.https://github.com/.extraheader
2025-08-15T00:11:17.0482797Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-08-15T00:11:17.0521756Z [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' || :"
2025-08-15T00:11:17.0923780Z Entering 'android/libs/fbjni'
2025-08-15T00:11:17.0978975Z http.https://github.com/.extraheader
2025-08-15T00:11:17.1029544Z Entering 'third_party/FP16'
2025-08-15T00:11:17.1083256Z http.https://github.com/.extraheader
2025-08-15T00:11:17.1135370Z Entering 'third_party/FXdiv'
2025-08-15T00:11:17.1187866Z http.https://github.com/.extraheader
2025-08-15T00:11:17.1237555Z Entering 'third_party/NNPACK'
2025-08-15T00:11:17.1291133Z http.https://github.com/.extraheader
2025-08-15T00:11:17.1343992Z Entering 'third_party/NVTX'
2025-08-15T00:11:17.1394766Z http.https://github.com/.extraheader
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2025-08-15T00:11:17.1497516Z http.https://github.com/.extraheader
2025-08-15T00:11:17.1548149Z Entering 'third_party/XNNPACK'
2025-08-15T00:11:17.1601302Z http.https://github.com/.extraheader
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2025-08-15T00:11:17.1720616Z http.https://github.com/.extraheader
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2025-08-15T00:11:17.1822898Z http.https://github.com/.extraheader
2025-08-15T00:11:17.1885423Z Entering 'third_party/benchmark'
2025-08-15T00:11:17.1936336Z http.https://github.com/.extraheader
2025-08-15T00:11:17.1986803Z Entering 'third_party/composable_kernel'
2025-08-15T00:11:17.2037726Z http.https://github.com/.extraheader
2025-08-15T00:11:17.2099036Z Entering 'third_party/cpp-httplib'
2025-08-15T00:11:17.2152999Z http.https://github.com/.extraheader
2025-08-15T00:11:17.2202271Z Entering 'third_party/cpuinfo'
2025-08-15T00:11:17.2254614Z http.https://github.com/.extraheader
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2025-08-15T00:11:17.2359507Z http.https://github.com/.extraheader
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2025-08-15T00:11:17.2463072Z http.https://github.com/.extraheader
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2025-08-15T00:11:17.2575916Z http.https://github.com/.extraheader
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2025-08-15T00:11:17.2677991Z http.https://github.com/.extraheader
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2025-08-15T00:11:17.2779314Z http.https://github.com/.extraheader
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2025-08-15T00:11:17.2887948Z http.https://github.com/.extraheader
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2025-08-15T00:11:17.6614497Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-15T00:11:17.6665102Z http.https://github.com/.extraheader
2025-08-15T00:11:17.6714086Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-15T00:11:17.6764238Z http.https://github.com/.extraheader
2025-08-15T00:11:17.6813825Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-15T00:11:17.6865787Z http.https://github.com/.extraheader
2025-08-15T00:11:17.6916396Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-15T00:11:17.6966660Z http.https://github.com/.extraheader
2025-08-15T00:11:17.7015371Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-15T00:11:17.7065845Z http.https://github.com/.extraheader
2025-08-15T00:11:17.7116467Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-15T00:11:17.7166186Z http.https://github.com/.extraheader
2025-08-15T00:11:17.7215100Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-15T00:11:17.7265412Z http.https://github.com/.extraheader
2025-08-15T00:11:17.7316543Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-15T00:11:17.7370770Z http.https://github.com/.extraheader
2025-08-15T00:11:17.7424549Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-15T00:11:17.7476145Z http.https://github.com/.extraheader
2025-08-15T00:11:17.7551722Z Entering 'third_party/pocketfft'
2025-08-15T00:11:17.7605266Z http.https://github.com/.extraheader
2025-08-15T00:11:17.7656077Z Entering 'third_party/protobuf'
2025-08-15T00:11:17.7708619Z http.https://github.com/.extraheader
2025-08-15T00:11:17.7762286Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-15T00:11:17.7812765Z http.https://github.com/.extraheader
2025-08-15T00:11:17.7863123Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-15T00:11:17.7918366Z http.https://github.com/.extraheader
2025-08-15T00:11:17.7974002Z Entering 'third_party/psimd'
2025-08-15T00:11:17.8025220Z http.https://github.com/.extraheader
2025-08-15T00:11:17.8075735Z Entering 'third_party/pthreadpool'
2025-08-15T00:11:17.8129229Z http.https://github.com/.extraheader
2025-08-15T00:11:17.8181472Z Entering 'third_party/pybind11'
2025-08-15T00:11:17.8237484Z http.https://github.com/.extraheader
2025-08-15T00:11:17.8289552Z Entering 'third_party/python-peachpy'
2025-08-15T00:11:17.8341209Z http.https://github.com/.extraheader
2025-08-15T00:11:17.8392661Z Entering 'third_party/sleef'
2025-08-15T00:11:17.8445984Z http.https://github.com/.extraheader
2025-08-15T00:11:17.8497143Z Entering 'third_party/tensorpipe'
2025-08-15T00:11:17.8550238Z http.https://github.com/.extraheader
2025-08-15T00:11:17.8599713Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-15T00:11:17.8652044Z http.https://github.com/.extraheader
2025-08-15T00:11:17.8701047Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-15T00:11:17.8760590Z http.https://github.com/.extraheader
2025-08-15T00:11:17.8809578Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-15T00:11:17.8865361Z http.https://github.com/.extraheader
2025-08-15T00:11:17.8914072Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-15T00:11:17.8964948Z http.https://github.com/.extraheader
2025-08-15T00:11:17.9014175Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-15T00:11:17.9065691Z http.https://github.com/.extraheader
2025-08-15T00:11:17.9240808Z A job completed hook has been configured by the self-hosted runner administrator
2025-08-15T00:11:17.9257642Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-08-15T00:11:17.9265635Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:11:17.9265991Z ##[endgroup]
2025-08-15T00:11:25.8322171Z Cleaning up orphan processes