2025-09-07T07:46:07.1460755Z Current runner version: '2.328.0' 2025-09-07T07:46:07.1466726Z Runner name: 'i-01adaa3a40ced2b96' 2025-09-07T07:46:07.1467494Z Runner group name: 'default' 2025-09-07T07:46:07.1468379Z Machine name: 'ip-10-0-37-127' 2025-09-07T07:46:07.1471169Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:46:07.1473845Z Contents: read 2025-09-07T07:46:07.1474369Z Metadata: read 2025-09-07T07:46:07.1474902Z ##[endgroup] 2025-09-07T07:46:07.1476887Z Secret source: Actions 2025-09-07T07:46:07.1477548Z Prepare workflow directory 2025-09-07T07:46:07.1984176Z Prepare all required actions 2025-09-07T07:46:07.2022957Z Getting action download info 2025-09-07T07:46:07.5239485Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:46:09.6022856Z Download action repository 'pytorch/pytorch@main' (SHA:ada43ed39c80b746b4822c92640a1882619e2795) 2025-09-07T07:46:24.7995077Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:46:25.1302784Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:46:25.3553354Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:46:25.5262239Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:46:25.7888570Z Getting action download info 2025-09-07T07:46:25.8880891Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:46:26.1712647Z Getting action download info 2025-09-07T07:46:26.2990872Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:46:26.7091257Z Getting action download info 2025-09-07T07:46:27.0407539Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:46:27.2130453Z Getting action download info 2025-09-07T07:46:27.3831544Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:46:27.3835297Z ##[group] Inputs 2025-09-07T07:46:27.3835671Z build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm86 2025-09-07T07:46:27.3837415Z test-matrix: {"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]} 2025-09-07T07:46:27.3839700Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:46:27.3840618Z sync-tag: 2025-09-07T07:46:27.3841317Z timeout-minutes: 240 2025-09-07T07:46:27.3841572Z use-gha: 2025-09-07T07:46:27.3841800Z dashboard-tag: 2025-09-07T07:46:27.3842049Z s3-bucket: gha-artifacts 2025-09-07T07:46:27.3842317Z aws-role-to-assume: 2025-09-07T07:46:27.3842814Z disable-monitor: false 2025-09-07T07:46:27.3843129Z monitor-log-interval: 5 2025-09-07T07:46:27.3843422Z monitor-data-collect-interval: 1 2025-09-07T07:46:27.3843722Z ##[endgroup] 2025-09-07T07:46:27.3844131Z Complete job name: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-09-07T07:46:27.4444451Z A job started hook has been configured by the self-hosted runner administrator 2025-09-07T07:46:27.4544288Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-09-07T07:46:27.4556025Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:27.4556598Z ##[endgroup] 2025-09-07T07:46:28.8538198Z Runner Type: linux.g5.4xlarge.nvidia.gpu 2025-09-07T07:46:28.8538634Z Instance Type: g5.4xlarge 2025-09-07T07:46:28.8538870Z AMI Name: unknown 2025-09-07T07:46:28.8581109Z AMI ID: ami-05ffe3c48a9991133 2025-09-07T07:46:34.3637273Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:46:34.3637664Z with: 2025-09-07T07:46:34.3638152Z github-secret: *** 2025-09-07T07:46:34.3638793Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:46:34.3639475Z activate-with-label: false 2025-09-07T07:46:34.3639724Z label: with-ssh 2025-09-07T07:46:34.3639948Z remove-existing-keys: true 2025-09-07T07:46:34.3640193Z fail-silently: true 2025-09-07T07:46:34.3640406Z env: 2025-09-07T07:46:34.3640614Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:34.3640862Z ##[endgroup] 2025-09-07T07:46:34.5108387Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:46:34.5110495Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:46:34.5325064Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:46:34.5325601Z with: 2025-09-07T07:46:34.5325877Z no-sudo: true 2025-09-07T07:46:34.5326110Z submodules: recursive 2025-09-07T07:46:34.5326338Z fetch-depth: 0 2025-09-07T07:46:34.5326546Z env: 2025-09-07T07:46:34.5326733Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:34.5326962Z ##[endgroup] 2025-09-07T07:46:34.5413032Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:46:34.5413920Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:46:34.5429116Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:34.5429473Z env: 2025-09-07T07:46:34.5429709Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:34.5429989Z ##[endgroup] 2025-09-07T07:46:34.5534069Z ##[group]Run # Use all available CPUs for fetching 2025-09-07T07:46:34.5534483Z # Use all available CPUs for fetching 2025-09-07T07:46:34.5534810Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:46:34.5535118Z git config --global fetch.parallel 0 2025-09-07T07:46:34.5535479Z git config --global submodule.fetchJobs 0 2025-09-07T07:46:34.5535791Z  2025-09-07T07:46:34.5536124Z # Clean workspace. The default checkout action should also do this, but 2025-09-07T07:46:34.5536547Z # do it here as well just in case 2025-09-07T07:46:34.5536841Z if [[ -d .git ]]; then 2025-09-07T07:46:34.5537116Z  if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:46:34.5537416Z  sudo git clean -ffdx 2025-09-07T07:46:34.5537664Z  else 2025-09-07T07:46:34.5537879Z  git clean -ffdx 2025-09-07T07:46:34.5538117Z  fi 2025-09-07T07:46:34.5538309Z fi 2025-09-07T07:46:34.5547325Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:34.5547675Z env: 2025-09-07T07:46:34.5547949Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:34.5548214Z NO_SUDO: true 2025-09-07T07:46:34.5548424Z ##[endgroup] 2025-09-07T07:46:34.5691708Z ##[group]Run actions/checkout@v4 2025-09-07T07:46:34.5691988Z with: 2025-09-07T07:46:34.5692228Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:34.5692534Z fetch-depth: 0 2025-09-07T07:46:34.5692761Z submodules: recursive 2025-09-07T07:46:34.5693010Z show-progress: false 2025-09-07T07:46:34.5693265Z repository: pytorch/pytorch 2025-09-07T07:46:34.5693635Z token: *** 2025-09-07T07:46:34.5693850Z ssh-strict: true 2025-09-07T07:46:34.5694291Z ssh-user: git 2025-09-07T07:46:34.5694526Z persist-credentials: true 2025-09-07T07:46:34.5694778Z clean: true 2025-09-07T07:46:34.5695025Z sparse-checkout-cone-mode: true 2025-09-07T07:46:34.5695309Z fetch-tags: false 2025-09-07T07:46:34.5695529Z lfs: false 2025-09-07T07:46:34.5695742Z set-safe-directory: true 2025-09-07T07:46:34.5696001Z env: 2025-09-07T07:46:34.5696205Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:34.5696450Z ##[endgroup] 2025-09-07T07:46:34.6845615Z Syncing repository: pytorch/pytorch 2025-09-07T07:46:34.6847111Z ##[group]Getting Git version info 2025-09-07T07:46:34.6847775Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:46:34.6848756Z [command]/usr/bin/git version 2025-09-07T07:46:34.7085628Z git version 2.47.1 2025-09-07T07:46:34.7126148Z ##[endgroup] 2025-09-07T07:46:34.7137556Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/661b646c-ffd6-4939-9e81-e7ad0ef44082/.gitconfig' 2025-09-07T07:46:34.7158825Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/661b646c-ffd6-4939-9e81-e7ad0ef44082' before making global git config changes 2025-09-07T07:46:34.7159726Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:46:34.7174390Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:46:34.7227807Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:46:34.7231170Z ##[group]Initializing the repository 2025-09-07T07:46:34.7235744Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:46:34.7308436Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:46:34.7309305Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:46:34.7310107Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:46:34.7310523Z hint: 2025-09-07T07:46:34.7310823Z hint: git config --global init.defaultBranch 2025-09-07T07:46:34.7311166Z hint: 2025-09-07T07:46:34.7311482Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:46:34.7312020Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:46:34.7312430Z hint: 2025-09-07T07:46:34.7332539Z hint: git branch -m 2025-09-07T07:46:34.7333036Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-09-07T07:46:34.7344339Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:46:34.7397127Z ##[endgroup] 2025-09-07T07:46:34.7397553Z ##[group]Disabling automatic garbage collection 2025-09-07T07:46:34.7401029Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:46:34.7435503Z ##[endgroup] 2025-09-07T07:46:34.7435871Z ##[group]Setting up auth 2025-09-07T07:46:34.7442098Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:46:34.7475967Z [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' || :" 2025-09-07T07:46:34.7896142Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:46:34.7932020Z [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' || :" 2025-09-07T07:46:34.8333593Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:46:34.8395798Z ##[endgroup] 2025-09-07T07:46:34.8396215Z ##[group]Fetching the repository 2025-09-07T07:46:34.8403456Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:47:24.0558035Z From https://github.com/pytorch/pytorch 2025-09-07T07:47:24.0558615Z * [new branch] 160583 -> origin/160583 2025-09-07T07:47:24.0559078Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:47:24.0559585Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:47:24.0560440Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:47:24.0562583Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:47:24.0565202Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:47:24.0567808Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:47:24.0570233Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:47:24.0572303Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:47:24.0574247Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:47:24.0576462Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:47:24.0577431Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:47:24.0579602Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:47:24.0581587Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:47:24.0583574Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:47:24.0585530Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:47:24.0587327Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:47:24.0589196Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:47:24.0591108Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:47:24.0592999Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:47:24.0594874Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:47:24.0596689Z * [new branch] addsimde -> origin/addsimde 2025-09-07T07:47:24.0598639Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T07:47:24.0601265Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T07:47:24.0603092Z * [new branch] adi/test -> origin/adi/test 2025-09-07T07:47:24.0605034Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T07:47:24.0606918Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T07:47:24.0608715Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T07:47:24.0610808Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T07:47:24.0612414Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T07:47:24.0614646Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T07:47:24.0618079Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T07:47:24.0620674Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T07:47:24.0622489Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T07:47:24.0625360Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T07:47:24.0626932Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T07:47:24.0629038Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T07:47:24.0631110Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T07:47:24.0632957Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T07:47:24.0634753Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T07:47:24.0637245Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T07:47:24.0639484Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T07:47:24.0641918Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T07:47:24.0643919Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T07:47:24.0645874Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T07:47:24.0647988Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T07:47:24.0649769Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T07:47:24.0651676Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T07:47:24.0653688Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T07:47:24.0655647Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T07:47:24.0657602Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T07:47:24.0659578Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-09-07T07:47:24.0661446Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-09-07T07:47:24.0663435Z * [new branch] aoti-cuda-alloc -> origin/aoti-cuda-alloc 2025-09-07T07:47:24.0665367Z * [new branch] aoti_target_windows -> origin/aoti_target_windows 2025-09-07T07:47:24.0667317Z * [new branch] aoti_weight_sharing -> origin/aoti_weight_sharing 2025-09-07T07:47:24.0669329Z * [new branch] atalman-inductor-perf-cu124 -> origin/atalman-inductor-perf-cu124 2025-09-07T07:47:24.0671324Z * [new branch] atalman-inductor-perf-cu124.1 -> origin/atalman-inductor-perf-cu124.1 2025-09-07T07:47:24.0673225Z * [new branch] atalman-patch-1 -> origin/atalman-patch-1 2025-09-07T07:47:24.0675269Z * [new branch] atalman-patch-3 -> origin/atalman-patch-3 2025-09-07T07:47:24.0677098Z * [new branch] atalman-patch-4 -> origin/atalman-patch-4 2025-09-07T07:47:24.0679205Z * [new branch] atalman-patch-5 -> origin/atalman-patch-5 2025-09-07T07:47:24.0681196Z * [new branch] atalman-patch-6 -> origin/atalman-patch-6 2025-09-07T07:47:24.0683227Z * [new branch] atalman_inductor_2.3.0 -> origin/atalman_inductor_2.3.0 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2025-09-07T07:47:25.0693737Z * [new branch] xmfan/ca_fix_polyfills -> origin/xmfan/ca_fix_polyfills 2025-09-07T07:47:25.0695433Z * [new branch] xmfan/ca_jan3 -> origin/xmfan/ca_jan3 2025-09-07T07:47:25.0697228Z * [new branch] xmfan/ca_jun18 -> origin/xmfan/ca_jun18 2025-09-07T07:47:25.0699080Z * [new branch] xmfan/ca_jun24 -> origin/xmfan/ca_jun24 2025-09-07T07:47:25.0700958Z * [new branch] xmfan/ca_mem_base -> origin/xmfan/ca_mem_base 2025-09-07T07:47:25.0703506Z * [new branch] xmfan/ca_mem_fix -> origin/xmfan/ca_mem_fix 2025-09-07T07:47:25.0705333Z * [new branch] xmfan/ca_memory_fix -> origin/xmfan/ca_memory_fix 2025-09-07T07:47:25.0707207Z * [new branch] xmfan/ca_memory_fix_rebased -> origin/xmfan/ca_memory_fix_rebased 2025-09-07T07:47:25.0709197Z * [new branch] xmfan/ca_memory_fix_rebased2 -> origin/xmfan/ca_memory_fix_rebased2 2025-09-07T07:47:25.0710910Z * [new branch] xmfan/ca_move_to_cuda -> origin/xmfan/ca_move_to_cuda 2025-09-07T07:47:25.0713175Z * [new branch] xmfan/ca_nested -> origin/xmfan/ca_nested 2025-09-07T07:47:25.0714982Z * [new branch] xmfan/ca_overhead -> origin/xmfan/ca_overhead 2025-09-07T07:47:25.0716863Z * [new branch] xmfan/ca_overhead_0eba7e5451 -> origin/xmfan/ca_overhead_0eba7e5451 2025-09-07T07:47:25.0718753Z * [new branch] xmfan/ca_scalar -> origin/xmfan/ca_scalar 2025-09-07T07:47:25.0721975Z * [new branch] xmfan/ca_subclass_mem_fix -> origin/xmfan/ca_subclass_mem_fix 2025-09-07T07:47:25.0723784Z * [new branch] xmfan/ca_warm_mem -> origin/xmfan/ca_warm_mem 2025-09-07T07:47:25.0725789Z * [new branch] xmfan/ca_warm_mem_base -> origin/xmfan/ca_warm_mem_base 2025-09-07T07:47:25.0727600Z * [new branch] xmfan/cacu_jun18 -> origin/xmfan/cacu_jun18 2025-09-07T07:47:25.0729457Z * [new branch] xmfan/cacu_jun19 -> origin/xmfan/cacu_jun19 2025-09-07T07:47:25.0731272Z * [new branch] xmfan/cacu_jun4 -> origin/xmfan/cacu_jun4 2025-09-07T07:47:25.0733249Z * [new branch] xmfan/cacu_may27 -> origin/xmfan/cacu_may27 2025-09-07T07:47:25.0735158Z * [new branch] xmfan/disable_duck_shape -> origin/xmfan/disable_duck_shape 2025-09-07T07:47:25.0736988Z * [new branch] xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough 2025-09-07T07:47:25.0746153Z * [new branch] xmfan/issue_123374 -> origin/xmfan/issue_123374 2025-09-07T07:47:25.0746639Z * [new branch] xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T07:47:25.0747056Z * [new branch] xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T07:47:25.0747266Z * [new branch] xmfan/segfault_test -> origin/xmfan/segfault_test 2025-09-07T07:47:25.0747463Z * [new branch] xmfan/single_step -> origin/xmfan/single_step 2025-09-07T07:47:25.0748022Z * [new branch] xmfan/sth_0829 -> origin/xmfan/sth_0829 2025-09-07T07:47:25.0750125Z * [new branch] xmfan/test -> origin/xmfan/test 2025-09-07T07:47:25.0752774Z * [new branch] yguo/debug-0226-constexpr -> origin/yguo/debug-0226-constexpr 2025-09-07T07:47:25.0754462Z * [new branch] yguo/new_latest_changes -> origin/yguo/new_latest_changes 2025-09-07T07:47:25.0756161Z * [new branch] yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes 2025-09-07T07:47:25.0758094Z * [new branch] yihan_quantization -> origin/yihan_quantization 2025-09-07T07:47:25.0760599Z * [new branch] yiming/add_jit_trace_benchmark -> origin/yiming/add_jit_trace_benchmark 2025-09-07T07:47:25.0762310Z * [new branch] yiming/add_nativert_benchmark -> origin/yiming/add_nativert_benchmark 2025-09-07T07:47:25.0763962Z * [new branch] yiming/bootcamp -> origin/yiming/bootcamp 2025-09-07T07:47:25.0766615Z * [new branch] zainr/canary-test -> origin/zainr/canary-test 2025-09-07T07:47:25.0768538Z * [new branch] zainr/cleanup-gh-runners -> origin/zainr/cleanup-gh-runners 2025-09-07T07:47:25.0770297Z * [new branch] zainr/git-push-v2 -> origin/zainr/git-push-v2 2025-09-07T07:47:25.0772336Z * [new branch] zainr/pull-migration-c -> origin/zainr/pull-migration-c 2025-09-07T07:47:25.0774212Z * [new branch] zainr/test -> origin/zainr/test 2025-09-07T07:47:25.0776027Z * [new branch] zainr/test2 -> origin/zainr/test2 2025-09-07T07:47:25.0777695Z * [new branch] zainr/unstable -> origin/zainr/unstable 2025-09-07T07:47:25.0779348Z * [new branch] zainr/unstable-xla -> origin/zainr/unstable-xla 2025-09-07T07:47:25.0781503Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-09-07T07:47:25.0783380Z * [new branch] zb2p -> origin/zb2p 2025-09-07T07:47:25.0785478Z * [new branch] zero_grad_optimization -> origin/zero_grad_optimization 2025-09-07T07:47:25.0787401Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-09-07T07:47:25.0790401Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-09-07T07:47:25.0792974Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-09-07T07:47:25.0795523Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T07:47:25.0797307Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T07:47:25.0798878Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T07:47:25.0800698Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T07:47:25.0801930Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T07:47:25.0803182Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T07:47:25.0804535Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T07:47:25.0805873Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T07:47:25.0807097Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T07:47:25.0808979Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T07:47:25.0810305Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T07:47:25.0811527Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T07:47:25.0812737Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T07:47:25.0814252Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T07:47:25.0815496Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T07:47:25.0816541Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T07:47:25.0818235Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T07:47:25.0819395Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T07:47:25.0820831Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T07:47:25.0822072Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T07:47:25.0823392Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T07:47:25.0824544Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T07:47:25.0826222Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T07:47:25.0827659Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T07:47:25.0828977Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T07:47:25.0830186Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T07:47:25.0831551Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T07:47:25.0832477Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T07:47:25.0833898Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T07:47:25.0835077Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T07:47:25.0836262Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T07:47:25.0837621Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T07:47:25.0838861Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T07:47:25.0840044Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T07:47:25.0841680Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T07:47:25.0843288Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T07:47:25.0845301Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T07:47:25.0846543Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T07:47:25.0847886Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T07:47:25.0849103Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T07:47:25.0850951Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:47:25.0852576Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:47:25.0854076Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:47:25.0855294Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:47:25.0856688Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:47:25.0858286Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:47:25.0859805Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:47:25.0861116Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:47:25.0862533Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:47:25.0863969Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:47:25.0865409Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:47:25.0866931Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:47:25.0868163Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:47:25.0869352Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:47:25.0870834Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:47:25.0871608Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:47:25.0873091Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:47:25.0874362Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:47:25.0875574Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:47:25.0876776Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:47:25.0878027Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:47:25.0879332Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:47:25.0880898Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:47:25.0882522Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:47:25.0884081Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:47:25.0885708Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:47:25.0887135Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:47:25.0888430Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:47:25.0889722Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:47:25.0891192Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:47:25.0892495Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:47:25.0893986Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:47:25.0895229Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:47:25.0896532Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:47:25.0897975Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:47:25.0899357Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:47:25.0900759Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:47:25.0902067Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:47:25.0903519Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:47:25.0905043Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:47:25.0906340Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:47:25.0907835Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:47:25.0909419Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:47:25.0910940Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:47:25.0912416Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:47:25.0913783Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:47:25.0915130Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:47:25.0916685Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:47:25.0917979Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:47:25.0919768Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:47:25.0921715Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:47:25.0923051Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:47:25.0924359Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:47:25.0925769Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:47:25.0927056Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:47:25.0928396Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:47:25.0929655Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:47:25.0930928Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:47:25.0932388Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:47:25.0933752Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:47:25.0935180Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:47:25.0936490Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:47:25.0938170Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:47:25.0939505Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:47:25.0940802Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T07:47:25.0942093Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:47:25.0943397Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:47:25.0944738Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:47:25.0946153Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:47:25.0947422Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:47:25.0948996Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:47:25.0950406Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:47:25.0952195Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:47:25.0953520Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:47:25.0954790Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:47:25.0956270Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:47:25.0957598Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:47:25.0958945Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:47:25.0960252Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:47:25.0961749Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:47:25.0963048Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:47:25.0964797Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:47:25.0966174Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:47:25.0967293Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:47:25.0968819Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:47:25.0970338Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:47:25.0971618Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:47:25.0972908Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:47:25.0974214Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:47:25.0975544Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:47:25.0977353Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:47:25.0978657Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:47:25.0979959Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:47:25.0981267Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:47:25.0982678Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:47:25.0983777Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:47:25.0985197Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:47:25.0986521Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:47:25.0987863Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:47:25.0989185Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:47:25.0990486Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:47:25.0991909Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:47:25.0993242Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:47:25.0994537Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:47:25.0995793Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:47:25.0997150Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:47:25.0998447Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:47:25.0999723Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:47:25.1001066Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:47:25.1002355Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:47:25.1003885Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:47:25.1005276Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:47:25.1006733Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:47:25.1008303Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:47:25.1009706Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:47:25.1010987Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:47:25.1012322Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:47:25.1013646Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:47:25.1014950Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:47:25.1016156Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:47:25.1017663Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:47:25.1019044Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:47:25.1020610Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:47:25.1021912Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:47:25.1023215Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:47:25.1024518Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:47:25.1025787Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:47:25.1027164Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:47:25.1028481Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:47:25.1029810Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:47:25.1031160Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:47:25.1032606Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:47:25.1033766Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:47:25.1035085Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:47:25.1036365Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:47:25.1037669Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:47:25.1039694Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:47:25.1041031Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:47:25.1042337Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:47:25.1043631Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:47:25.1045044Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:47:25.1046413Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:47:25.1047960Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:47:25.1049257Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:47:25.1050559Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:47:25.1051969Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:47:25.1053230Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:47:25.1054546Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:47:25.1055905Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:47:25.1057224Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:47:25.1058581Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:47:25.1059913Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:47:25.1061304Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:47:25.1062609Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:47:25.1063923Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:47:25.1065213Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:47:25.1066591Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:47:25.1067878Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:47:25.1069199Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:47:25.1070547Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:47:25.1071842Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:47:25.1073186Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:47:25.1074439Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:47:25.1075763Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:47:25.1077289Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:47:25.1078614Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:47:25.1079890Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:47:25.1081536Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:47:25.1082755Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:47:25.1084097Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:47:25.1085737Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:47:25.1087077Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:47:25.1088401Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:47:25.1089735Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:47:25.1091045Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:47:25.1092324Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:47:25.1093607Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:47:25.1095078Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:47:25.1096379Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:47:25.1097680Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:47:25.1099023Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:47:25.1100451Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:47:25.1101731Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:47:25.1103048Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:47:25.1104352Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:47:25.1105876Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:47:25.1107250Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:47:25.1108590Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:47:25.1109873Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:47:25.1111252Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:47:25.1112626Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:47:25.1113952Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:47:25.1115285Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:47:25.1116624Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:47:25.1117923Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:47:25.1119270Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:47:25.1122966Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:47:25.1124247Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:47:25.1126038Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:47:25.1127576Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:47:25.1129462Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:47:25.1131019Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:47:25.1132232Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:47:25.1133450Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:47:25.1135512Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:47:25.1135952Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:47:25.1137366Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:47:25.1138692Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:47:25.1139937Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:47:25.1141164Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:47:25.1142698Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:47:25.1143925Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:47:25.1145450Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:47:25.1147214Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:47:25.1148487Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:47:25.1150225Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:47:25.1151503Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:47:25.1152682Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:47:25.1153907Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:47:25.1154988Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:47:25.1156599Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:47:25.1157958Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:47:25.1159308Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:47:25.1160789Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:47:25.1162319Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:47:25.1164089Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:47:25.1166052Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:47:25.1167905Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:47:25.1169628Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:47:25.1171208Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:47:25.1172817Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:47:25.1174338Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:47:25.1175725Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:47:25.1176994Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:47:25.1178212Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:47:25.1179439Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:47:25.1180749Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:47:25.1181625Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:47:25.1183197Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:47:25.1184549Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:47:25.1186107Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:47:25.1186951Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:47:25.1188799Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:47:25.1190353Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:47:25.1191673Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:47:25.1193113Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:47:25.1194308Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:47:25.1195719Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:47:25.1196939Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:47:25.1198009Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:47:25.1199342Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:47:25.1200822Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:47:25.1202041Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:47:25.1203404Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:47:25.1204682Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:47:25.1206048Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:47:25.1207730Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:47:25.1209362Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:47:25.1210906Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:47:25.1212209Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:47:25.1213607Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:47:25.1215179Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:47:25.1216710Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:47:25.1218705Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:47:25.1219786Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:47:25.1221632Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:47:25.1223028Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:47:25.1224542Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:47:25.1225929Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:47:25.1227582Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:47:25.1229276Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:47:25.1230806Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:47:25.1232261Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:47:25.1233750Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:47:25.1235607Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:47:25.1236938Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:47:25.1238332Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:47:25.1239654Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:47:25.1241090Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:47:25.1242644Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:47:25.1244576Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:47:25.1245940Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:47:25.1247411Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:47:25.1248659Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:47:25.1249851Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:47:25.1250976Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:47:25.1252250Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:47:25.1253787Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:47:25.1254972Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:47:25.1256146Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:47:25.1257384Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:47:25.1258631Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:47:25.1259934Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:47:25.1261540Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:47:25.1263174Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:47:25.1264767Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:47:25.1266099Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:47:25.1267430Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:47:25.1268683Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:47:25.1270025Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:47:25.1271454Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:47:25.1272648Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:47:25.1274542Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:47:25.1275184Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:47:25.1277109Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:47:25.1277958Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:47:25.1279607Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:47:25.1280912Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:47:25.1282217Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:47:25.1283543Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:47:25.1284904Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:47:25.1286281Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:47:25.1287527Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:47:25.1288954Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:47:25.1290088Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:47:25.1291411Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:47:25.1292695Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T07:47:25.1294162Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:47:25.1295460Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:47:25.1296992Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:47:25.1298433Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:47:25.1299724Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:47:25.1301048Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:47:25.1302344Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:47:25.1303727Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:47:25.1304986Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:47:25.1306304Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:47:25.1307703Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:47:25.1309107Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:47:25.1310572Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:47:25.1311491Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:47:25.1313279Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:47:25.1314604Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:47:25.1315868Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:47:25.1317674Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:47:25.1319029Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:47:25.1320472Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:47:25.1321802Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:47:25.1323088Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:47:25.1324485Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:47:25.1325845Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:47:25.1327216Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:47:25.1328509Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:47:25.1329818Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:47:25.1331095Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:47:25.1332374Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:47:25.1333664Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:47:25.1334974Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:47:25.1336264Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:47:25.1337777Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:47:25.1339297Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:47:25.1340392Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:47:25.1341796Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:47:25.1343037Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:47:25.1344353Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:47:25.1345782Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:47:25.1347169Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:47:25.1348476Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:47:25.1349910Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:47:25.1351243Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:47:25.1352524Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:47:25.1353784Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:47:25.1355079Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:47:25.1356426Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:47:25.1357688Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:47:25.1359176Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:47:25.1360462Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:47:25.1361759Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:47:25.1363077Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:47:25.1364458Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:47:25.1365856Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:47:25.1367134Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:47:25.1368470Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:47:25.1369775Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:47:25.1371056Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:47:25.1372319Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:47:25.1373507Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:47:25.1374951Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:47:25.1376244Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:47:25.1377637Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:47:25.1378943Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:47:25.1380251Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:47:25.1381577Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:47:25.1382837Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:47:25.1384404Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:47:25.1385961Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:47:25.1387274Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:47:25.1388554Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:47:25.1390078Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:47:25.1391284Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:47:25.1392577Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:47:25.1393824Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:47:25.1395140Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:47:25.1396636Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:47:25.1398291Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:47:25.1399511Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:47:25.1401308Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:47:25.1402824Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:47:25.1404469Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:47:25.1405837Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:47:25.1407282Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:47:25.1408492Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:47:25.1409870Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:47:25.1410947Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:47:25.1412279Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:47:25.1413594Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:47:25.1414957Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:47:25.1416212Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:47:25.1417424Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:47:25.1418822Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:47:25.1420636Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:47:25.1422190Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:47:25.1423845Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:47:25.1425403Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:47:25.1426820Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:47:25.1428064Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:47:25.1429494Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:47:25.1430784Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:47:25.1432108Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:47:25.1433440Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:47:25.1435070Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:47:25.1436721Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:47:25.1438139Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:47:25.1439473Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:47:25.1440828Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:47:25.1442189Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:47:25.1443540Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:47:25.1445238Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:47:25.1446538Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:47:25.1447895Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:47:25.1449270Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:47:25.1450472Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:47:25.1452224Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:47:25.1453581Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:47:25.1454932Z * [new tag] flight_5 -> flight_5 2025-09-07T07:47:25.1456513Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:47:25.1457919Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:47:25.1459273Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:47:25.1460683Z * [new tag] forpull1 -> forpull1 2025-09-07T07:47:25.1462404Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:47:25.1463732Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:47:25.1465100Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:47:25.1466651Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:47:25.1467719Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:47:25.1469344Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:47:25.1471217Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:47:25.1472766Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:47:25.1475042Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:47:25.1476732Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:47:25.1478186Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:47:25.1479669Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:47:25.1481228Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:47:25.1482733Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:47:25.1484542Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:47:25.1486027Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:47:25.1487457Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:47:25.1488928Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:47:25.1490420Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:47:25.1492388Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:47:25.1493913Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:47:25.1495192Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:47:25.1496953Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:47:25.1498530Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:47:25.1500064Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:47:25.1501514Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:47:25.1502959Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:47:25.1504475Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:47:25.1505983Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:47:25.1507386Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:47:25.1508897Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:47:25.1510302Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:47:25.1511803Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:47:25.1513315Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:47:25.1515280Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:47:25.1516816Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:47:25.1518258Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:47:25.1519470Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:47:25.1521256Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:47:25.1522865Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:47:25.1524362Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:47:25.1525920Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:47:25.1527416Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:47:25.1528886Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:47:25.1530331Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:47:25.1531774Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:47:25.1533214Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:47:25.1534835Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:47:25.1536261Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:47:25.1537756Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:47:25.1539237Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:47:25.1540765Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:47:25.1542351Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:47:25.1543777Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:47:25.1545327Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:47:25.1546799Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:47:25.1548332Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:47:25.1549793Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:47:25.1551293Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:47:25.1552712Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:47:25.1554256Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:47:25.1555662Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:47:25.1557100Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:47:25.1558136Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:47:25.1559892Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:47:25.1561166Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:47:25.1562666Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:47:25.1564214Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:47:25.1565958Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:47:25.1567368Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:47:25.1568726Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:47:25.1571026Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:47:25.1576165Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:47:25.1577251Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:47:25.1578061Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:47:25.1578956Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:47:25.1579994Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:47:25.1582353Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:47:25.1583896Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:47:25.1585619Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:47:25.1586883Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:47:25.1588207Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:47:25.1590116Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:47:25.1591457Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:47:25.1592776Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:47:25.1594285Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:47:25.1595764Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:47:25.1597255Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:47:25.1598718Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:47:25.1600210Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:47:25.1601657Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:47:25.1603034Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:47:25.1605019Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:47:25.1606374Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:47:25.1607811Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:47:25.1609522Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:47:25.1611045Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:47:25.1612477Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:47:25.1613949Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:47:25.1615467Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:47:25.1616864Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:47:25.1618333Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:47:25.1622537Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:47:25.1631116Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:47:25.1632150Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:47:25.1632972Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:47:25.1633864Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:47:25.1634640Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:47:25.1635501Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:47:25.1636292Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:47:25.1637140Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:47:25.1638033Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:47:25.1638827Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:47:25.1639686Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:47:25.1640822Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:47:25.1642244Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:47:25.1643760Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:47:25.1645729Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:47:25.1646918Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:47:25.1648423Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:47:25.1650225Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:47:25.1651459Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:47:25.1652977Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:47:25.1654292Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:47:25.1655596Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:47:25.1657134Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:47:25.1658647Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:47:25.1660032Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:47:25.1661512Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:47:25.1662801Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:47:25.1664277Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:47:25.1665760Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:47:25.1667280Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:47:25.1668758Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:47:25.1670236Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:47:25.1672269Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:47:25.1674282Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:47:25.1675546Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:47:25.1677038Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:47:25.1678542Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:47:25.1680349Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:47:25.1681648Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:47:25.1683446Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:47:25.1684813Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:47:25.1686438Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:47:25.1687912Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:47:25.1690074Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:47:25.1691383Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:47:25.1693319Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:47:25.1694553Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:47:25.1696393Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:47:25.1697766Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:47:25.1699442Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:47:25.1700904Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:47:25.1702382Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:47:25.1704202Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:47:25.1705433Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:47:25.1706955Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:47:25.1708491Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:47:25.1710544Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:47:25.1711976Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:47:25.1713439Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:47:25.1715279Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:47:25.1716556Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:47:25.1718025Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:47:25.1720033Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:47:25.1721320Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:47:25.1723142Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:47:25.1724449Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:47:25.1726457Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:47:25.1727771Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:47:25.1729359Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:47:25.1730906Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:47:25.1732318Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:47:25.1733843Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:47:25.1735365Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:47:25.1737196Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:47:25.1738472Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:47:25.1739836Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:47:25.1741767Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:47:25.1742938Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:47:25.1744454Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:47:25.1746265Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:47:25.1747530Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:47:25.1749041Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:47:25.1750643Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:47:25.1751938Z * [new tag] trunk/ada43ed39c80b746b4822c92640a1882619e2795 -> trunk/ada43ed39c80b746b4822c92640a1882619e2795 2025-09-07T07:47:25.1753752Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:47:25.1755134Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:47:25.1756619Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:47:25.1758437Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:47:25.1759708Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:47:25.1761225Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:47:25.1762751Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:47:25.1764259Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:47:25.1766176Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:47:25.1767415Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:47:25.1768958Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:47:25.1770444Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:47:25.1772545Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:47:25.1774708Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:47:25.1776001Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:47:25.1777841Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:47:25.1779192Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:47:25.1781037Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:47:25.1782425Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:47:25.1783824Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:47:25.1785622Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:47:25.1786817Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:47:25.1788287Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:47:25.1789791Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:47:25.1791676Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:47:25.1792987Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:47:25.1794835Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:47:25.1796109Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:47:25.1797642Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:47:25.1799105Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:47:25.1800637Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:47:25.1802484Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:47:25.1803661Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:47:25.1805549Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:47:25.1806911Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:47:25.1808398Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:47:25.1810229Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:47:25.1811409Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:47:25.1812943Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:47:25.1814455Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:47:25.1815980Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:47:25.1817830Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:47:25.1819331Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:47:25.1821163Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:47:25.1822553Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:47:25.1824214Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:47:25.1825712Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:47:25.1827543Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:47:25.1828821Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:47:25.1830332Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:47:25.1832171Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:47:25.1833501Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:47:25.1834808Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:47:25.1836665Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:47:25.1838673Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:47:25.1839988Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:47:25.1841517Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:47:25.1843051Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:47:25.1844602Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:47:25.1846515Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:47:25.1847634Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:47:25.1849516Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:47:25.1850694Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:47:25.1852199Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:47:25.1853753Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:47:25.1855224Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:47:25.1857141Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:47:25.1858484Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:47:25.1860288Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:47:25.1861571Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:47:25.1863422Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:47:25.1864630Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:47:25.1866044Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:47:25.1867877Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:47:25.1868962Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:47:25.1870496Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:47:25.1872363Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:47:25.1874208Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:47:25.1875534Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:47:25.1877346Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:47:25.1878693Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:47:25.1880486Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:47:25.1881902Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:47:25.1883405Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:47:25.1884863Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:47:25.1886787Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:47:25.1888099Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:47:25.1889525Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:47:25.1890999Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:47:25.1892690Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:47:25.1894534Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:47:25.1895824Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:47:25.1897187Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:47:25.1898408Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:47:25.1900092Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:47:25.1901153Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:47:25.1902765Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:47:25.1904129Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:47:25.1905255Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:47:25.1906908Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:47:25.1908422Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:47:25.1909482Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:47:25.1911010Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:47:25.1912413Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:47:25.1913793Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:47:25.1915280Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:47:25.1916636Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:47:25.1918203Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:47:25.1919928Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:47:25.1921406Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:47:25.1922430Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:47:25.1924131Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:47:25.1925703Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:47:25.1927234Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:47:25.1928189Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:47:25.1930436Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:47:25.1931998Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:47:25.1933558Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:47:25.1935075Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:47:25.1936529Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:47:25.1937558Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:47:25.1939240Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:47:25.1940224Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:47:25.1941644Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:47:25.1942649Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:47:25.1944395Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:47:25.1945835Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:47:25.1947291Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:47:25.1948890Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:47:25.1950125Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:47:25.1951850Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:47:25.1952826Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:47:25.1954256Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:47:25.1955667Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:47:25.1957049Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:47:25.1958641Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:47:25.1960201Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:47:25.1961720Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:47:25.1962817Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:47:25.1964531Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:47:25.1966031Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:47:25.1966970Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:47:25.1968584Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:47:25.1969975Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:47:25.1971432Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:47:25.1973009Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:47:25.1974462Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:47:25.1975458Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:47:25.1977161Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:47:25.1978587Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:47:25.1979979Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:47:25.1981501Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:47:25.1982980Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:47:25.1983858Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:47:25.1985299Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:47:25.1986748Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:47:25.1987807Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:47:25.1989531Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:47:25.1990958Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:47:25.1992446Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:47:25.1993878Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:47:25.1994808Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:47:25.1996482Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:47:25.1997937Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:47:25.1998843Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:47:25.2000597Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:47:25.2002091Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:47:25.2003626Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:47:25.2005309Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:47:25.2006440Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:47:25.2007684Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:47:25.2009450Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:47:25.2010480Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:47:25.2011918Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:47:25.2013381Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:47:25.2014843Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:47:25.2016325Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:47:25.2017851Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:47:25.2019049Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:47:25.2024169Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:47:25.2025204Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:47:25.2026875Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:47:25.2028343Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:47:25.2030102Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:47:25.2031209Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:47:25.2032665Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:47:25.2034096Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:47:25.2035672Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:47:25.2037132Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:47:25.2038111Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:47:25.2039847Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:47:25.2040805Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:47:25.2042541Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:47:25.2044066Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:47:25.2045642Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:47:25.2046570Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:47:25.2047982Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:47:25.2049567Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:47:25.2050522Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:47:25.2051968Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:47:25.2053854Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:47:25.2054903Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:47:25.2056645Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:47:25.2057779Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:47:25.2059626Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:47:25.2061149Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:47:25.2062154Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:47:25.2063861Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:47:25.2065555Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:47:25.2066498Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:47:25.2068177Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:47:25.2069646Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:47:25.2070877Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:47:25.2072626Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:47:25.2074167Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:47:25.2075297Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:47:25.2076755Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:47:25.2078519Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:47:25.2080036Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:47:25.2080984Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:47:25.2082620Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:47:25.2083548Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:47:25.2085919Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:47:25.2087338Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:47:25.2088560Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:47:25.2090436Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:47:25.2091852Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:47:25.2093392Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:47:25.2094275Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:47:25.2096020Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:47:25.2097493Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:47:25.2098932Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:47:25.2100535Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:47:25.2102049Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:47:25.2103471Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:47:25.2104481Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:47:25.2106196Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:47:25.2107851Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:47:25.2109360Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:47:25.2110379Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:47:25.2112168Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:47:25.2113765Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:47:25.2114848Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:47:25.2116929Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:47:25.2118050Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:47:25.2120163Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:47:25.2121283Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:47:25.2122673Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:47:25.2123667Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:47:25.2125622Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:47:25.2127155Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:47:25.2128126Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:47:25.2129553Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:47:25.2130563Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:47:25.2132243Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:47:25.2133257Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:47:25.2134763Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:47:25.2136200Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:47:25.2137640Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:47:25.2139114Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:47:25.2140610Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:47:25.2141618Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:47:25.2143248Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:47:25.2144644Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:47:25.2146197Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:47:25.2147612Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:47:25.2148750Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:47:25.2150259Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:47:25.2151926Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:47:25.2160658Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:47:25.2161229Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:47:25.2161703Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:47:25.2162178Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:47:25.2162615Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:47:25.2162972Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:47:25.2163320Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:47:25.2163695Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:47:25.2164235Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T07:47:25.2166013Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T07:47:25.2167594Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T07:47:25.2168735Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T07:47:25.2170467Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T07:47:25.2171948Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T07:47:25.2173604Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T07:47:25.2174526Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T07:47:25.2176302Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T07:47:25.2177899Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T07:47:25.2179419Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T07:47:25.2180891Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T07:47:25.2182038Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T07:47:25.2183484Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T07:47:25.2185113Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T07:47:25.2186181Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T07:47:25.2187919Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T07:47:25.2189058Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T07:47:25.2190837Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T07:47:25.2192306Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T07:47:25.2193871Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T07:47:25.2195014Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T07:47:25.2196519Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T07:47:25.2197556Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T07:47:25.2199056Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T07:47:25.2200607Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T07:47:25.2202082Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T07:47:25.2203588Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T07:47:25.2205162Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T07:47:25.2206764Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T07:47:25.2208941Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T07:47:25.2210081Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:47:25.2211912Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:47:25.2213318Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:47:25.2214988Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:47:25.2216389Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:47:25.2217439Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:47:25.2219233Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:47:25.2221071Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:47:25.2222605Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:47:25.2224050Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:47:25.2225287Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:47:25.2226975Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:47:25.2228469Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:47:25.2229973Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:47:25.2231023Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:47:25.2232772Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:47:25.2234351Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:47:25.2235942Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:47:25.2237678Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:47:25.2238811Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:47:25.2240366Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:47:25.2241899Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:47:25.2243369Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:47:25.2244992Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:47:25.2246676Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:47:25.2248197Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:47:25.2249771Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:47:25.2250996Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:47:25.2252658Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:47:25.2254231Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:47:25.2255763Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:47:25.2256850Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:47:25.3323188Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:47:25.3355108Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:47:25.3361015Z ##[endgroup] 2025-09-07T07:47:25.3361623Z ##[group]Determining the checkout info 2025-09-07T07:47:25.3363335Z ##[endgroup] 2025-09-07T07:47:25.3368623Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:47:25.3421003Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:47:25.3455271Z ##[group]Checking out the ref 2025-09-07T07:47:25.3459158Z [command]/usr/bin/git checkout --progress 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You can look around, make experimental 2025-09-07T07:47:27.0200078Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:47:27.0200735Z state without impacting any branches by switching back to a branch. 2025-09-07T07:47:27.0201124Z 2025-09-07T07:47:27.0201326Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:47:27.0201795Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:47:27.0202055Z 2025-09-07T07:47:27.0202167Z git switch -c 2025-09-07T07:47:27.0202351Z 2025-09-07T07:47:27.0202457Z Or undo this operation with: 2025-09-07T07:47:27.0202834Z 2025-09-07T07:47:27.0202916Z git switch - 2025-09-07T07:47:27.0203044Z 2025-09-07T07:47:27.0203262Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:47:27.0203579Z 2025-09-07T07:47:27.0203751Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:47:27.0372312Z ##[endgroup] 2025-09-07T07:47:27.0372726Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:47:27.0378768Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:47:27.0437073Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:47:27.0472358Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:47:27.0509085Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:47:27.0541628Z ##[endgroup] 2025-09-07T07:47:27.0542599Z ##[group]Fetching submodules 2025-09-07T07:47:27.0545390Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:47:27.0967144Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:47:27.1378857Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:47:27.1381709Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:47:27.1386426Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:47:27.1391255Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:47:27.1396214Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:47:27.1401663Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:47:27.1406652Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:47:27.1411875Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:47:27.1417251Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:47:27.1423279Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:47:27.1428420Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:47:27.1436650Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:47:27.1442303Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:47:27.1448357Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:47:27.1454769Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:47:27.1461698Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:47:27.1467330Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for 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'/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:47:43.3425650Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:47:43.3426792Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:47:43.3427860Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:47:43.3428919Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:47:43.3429968Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:47:43.3431017Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:47:43.3432141Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:47:43.3433246Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:47:43.3434268Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:47:43.3435313Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:47:43.4427406Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:47:47.9361148Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:47:47.9574585Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:47:47.9745543Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:47:47.9886193Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:47:48.0239805Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:47:48.1213761Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:47:48.1876320Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:47:49.1618980Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:47:49.3543675Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:47:49.3572477Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:47:49.3608353Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:47:53.4037125Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:47:53.4361443Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:47:53.8756781Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:47:53.9352405Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:47:54.0540579Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:47:54.1104808Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:47:54.9231031Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:47:55.1202482Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:47:55.1232408Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:47:55.1236247Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:47:55.1240966Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:47:55.1245402Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:47:55.1249945Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:47:55.1254541Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:47:55.1259013Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:47:55.1298945Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:47:56.4808197Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:47:56.4809461Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:47:56.4810725Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:47:56.5809088Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:47:56.6827007Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:47:57.8184155Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:48:02.6754745Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:48:03.0339586Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:48:03.1543391Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:48:03.9526186Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:48:04.0090691Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:48:04.0255383Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:48:04.1605308Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:48:04.2559565Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:48:04.2585933Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:48:04.2588782Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:48:04.2625152Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:48:07.9881411Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:48:08.3172757Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:48:09.0342140Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:48:09.2197700Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:48:09.2603453Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:48:09.3088593Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:48:09.3443008Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:48:09.4234536Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:48:09.4417487Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:48:09.4442063Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:48:09.4476457Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:48:23.1971018Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:48:23.2254112Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:48:23.3302238Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:48:23.3329736Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:48:23.3332361Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:48:23.3336421Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:48:23.3372486Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:48:24.3941847Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:48:24.7941829Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:48:24.8935550Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:48:24.8960048Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:48:24.8965490Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:48:24.8978298Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:48:24.8979442Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:48:24.8980572Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:48:24.8982829Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:48:24.8987228Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:48:24.8991776Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:48:24.9029378Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:48:26.7216449Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:48:26.7217598Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:48:26.7218932Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:48:26.7219952Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:48:26.7221015Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:48:26.7222062Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:48:26.8216906Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:48:32.5835030Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:48:32.6089021Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:48:32.6550207Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:48:32.6741054Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:48:32.6764884Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:48:32.6800611Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:48:32.9658487Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:48:32.9915462Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:48:33.0430145Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:48:33.1678016Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:48:33.1907998Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:48:33.2348233Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:48:33.3076013Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:48:33.3656821Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:48:33.4164395Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:48:33.5570762Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:48:34.1733409Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:48:34.1777601Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T07:48:34.1816999Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T07:48:35.2677017Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:48:35.3658888Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:48:35.3684236Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:48:35.3688093Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:48:35.3691873Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:48:35.3696348Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:48:35.3700713Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:48:35.3704873Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:48:35.3709087Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:48:35.3713354Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:48:35.3753166Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T07:48:35.8033800Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T07:48:35.8035148Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T07:48:35.8036479Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T07:48:35.8037473Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T07:48:35.9035201Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T07:48:36.6134098Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T07:48:43.5373273Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T07:48:44.1417300Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:48:44.1934734Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:48:44.2160609Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:48:44.3504491Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:48:44.3698576Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:48:44.3908793Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:48:44.4219210Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:48:44.4240376Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:48:44.4244163Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:48:44.4279424Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T07:48:46.3498419Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T07:48:46.6420983Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:48:46.6995135Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:48:47.4161993Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:48:47.4327729Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T07:48:47.7701840Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T07:48:47.7733510Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:48:47.7736392Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-09-07T07:48:47.7771404Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-09-07T07:48:48.3323210Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-09-07T07:48:48.8011307Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T07:48:48.8873005Z Submodule path 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Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:48:52.6460028Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:48:52.6490877Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:48:52.6563216Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:48:52.6589614Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:48:52.6660993Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:48:52.6685223Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:48:52.6758414Z 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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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T07:48:52.7466140Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:48:52.7536677Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T07:48:52.7583250Z Entering 'third_party/pocketfft' 2025-09-07T07:48:52.7656748Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T07:48:52.7682616Z Entering 'third_party/protobuf' 2025-09-07T07:48:52.7755821Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T07:48:52.7782066Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:48:52.7853752Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:48:52.7878187Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:48:52.7949959Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:48:52.7978691Z Entering 'third_party/psimd' 2025-09-07T07:48:52.8051597Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T07:48:52.8076963Z Entering 'third_party/pthreadpool' 2025-09-07T07:48:52.8150592Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T07:48:52.8175066Z Entering 'third_party/pybind11' 2025-09-07T07:48:52.8248285Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:48:52.8273437Z Entering 'third_party/python-peachpy' 2025-09-07T07:48:52.8349127Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T07:48:52.8375617Z Entering 'third_party/sleef' 2025-09-07T07:48:52.8448556Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T07:48:52.8473872Z Entering 'third_party/tensorpipe' 2025-09-07T07:48:52.8546670Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T07:48:52.8570999Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:48:52.8641454Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:48:52.8666153Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:48:52.8736662Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T07:48:52.8760282Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:48:52.8831912Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T07:48:52.8858083Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:48:52.8929278Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:48:52.8950805Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:48:52.9023775Z 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 2025-09-07T07:48:53.0185980Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T07:48:53.0596296Z Entering 'android/libs/fbjni' 2025-09-07T07:48:53.0656822Z Entering 'third_party/FP16' 2025-09-07T07:48:53.0717336Z Entering 'third_party/FXdiv' 2025-09-07T07:48:53.0777990Z Entering 'third_party/NNPACK' 2025-09-07T07:48:53.0842545Z Entering 'third_party/NVTX' 2025-09-07T07:48:53.0905397Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:48:53.0967703Z Entering 'third_party/XNNPACK' 2025-09-07T07:48:53.1043256Z Entering 'third_party/aiter' 2025-09-07T07:48:53.1107488Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:48:53.1177329Z Entering 'third_party/benchmark' 2025-09-07T07:48:53.1238692Z Entering 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2025-09-07T07:48:53.3000465Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:48:53.3059065Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:48:53.3116417Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:48:53.3181085Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:48:53.3239605Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:48:53.3298169Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:48:53.3358579Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:48:53.3420949Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:48:53.3478478Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:48:53.3539252Z Entering 'third_party/kleidiai' 2025-09-07T07:48:53.3601069Z Entering 'third_party/mimalloc' 2025-09-07T07:48:53.3664664Z Entering 'third_party/nlohmann' 2025-09-07T07:48:53.3727241Z Entering 'third_party/onnx' 2025-09-07T07:48:53.3804650Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:48:53.3869749Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:48:53.3932435Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:48:53.3989315Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:48:53.4049577Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:48:53.4111342Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:48:53.4170639Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:48:53.4229387Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:48:53.4287602Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:48:53.4348171Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:48:53.4408179Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:48:53.4471042Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:48:53.4551349Z Entering 'third_party/pocketfft' 2025-09-07T07:48:53.4612400Z Entering 'third_party/protobuf' 2025-09-07T07:48:53.4675286Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:48:53.4735468Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:48:53.4798021Z Entering 'third_party/psimd' 2025-09-07T07:48:53.4859354Z Entering 'third_party/pthreadpool' 2025-09-07T07:48:53.4920468Z Entering 'third_party/pybind11' 2025-09-07T07:48:53.4982820Z Entering 'third_party/python-peachpy' 2025-09-07T07:48:53.5045909Z Entering 'third_party/sleef' 2025-09-07T07:48:53.5107115Z Entering 'third_party/tensorpipe' 2025-09-07T07:48:53.5168062Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:48:53.5227672Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:48:53.5284432Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:48:53.5343598Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:48:53.5400194Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:48:53.5489382Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T07:48:53.5895546Z Entering 'android/libs/fbjni' 2025-09-07T07:48:53.5957412Z Entering 'third_party/FP16' 2025-09-07T07:48:53.6018808Z Entering 'third_party/FXdiv' 2025-09-07T07:48:53.6079648Z Entering 'third_party/NNPACK' 2025-09-07T07:48:53.6144273Z Entering 'third_party/NVTX' 2025-09-07T07:48:53.6206028Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:48:53.6267206Z Entering 'third_party/XNNPACK' 2025-09-07T07:48:53.6344514Z Entering 'third_party/aiter' 2025-09-07T07:48:53.6406284Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:48:53.6476453Z Entering 'third_party/benchmark' 2025-09-07T07:48:53.6539704Z Entering 'third_party/composable_kernel' 2025-09-07T07:48:53.6609473Z Entering 'third_party/cpp-httplib' 2025-09-07T07:48:53.6670927Z Entering 'third_party/cpuinfo' 2025-09-07T07:48:53.6733211Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:48:53.6793924Z Entering 'third_party/cutlass' 2025-09-07T07:48:53.6863624Z Entering 'third_party/fbgemm' 2025-09-07T07:48:53.6926818Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:48:53.6984781Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:48:53.7058826Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:48:53.7119201Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:48:53.7189567Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:48:53.7249288Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:48:53.7307623Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:48:53.7373212Z Entering 'third_party/flash-attention' 2025-09-07T07:48:53.7435743Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:48:53.7501707Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:48:53.7572626Z Entering 'third_party/flatbuffers' 2025-09-07T07:48:53.7639151Z Entering 'third_party/fmt' 2025-09-07T07:48:53.7703896Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:48:53.7765901Z Entering 'third_party/gloo' 2025-09-07T07:48:53.7827790Z Entering 'third_party/googletest' 2025-09-07T07:48:53.7888862Z Entering 'third_party/ideep' 2025-09-07T07:48:53.7949017Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:48:53.8016888Z Entering 'third_party/ittapi' 2025-09-07T07:48:53.8080429Z Entering 'third_party/kineto' 2025-09-07T07:48:53.8143119Z Entering 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'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:48:53.9492250Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:48:53.9551910Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:48:53.9609647Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:48:53.9670832Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:48:53.9731784Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:48:53.9794968Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:48:53.9875606Z Entering 'third_party/pocketfft' 2025-09-07T07:48:53.9936234Z Entering 'third_party/protobuf' 2025-09-07T07:48:54.0000677Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:48:54.0061211Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:48:54.0124828Z Entering 'third_party/psimd' 2025-09-07T07:48:54.0185901Z Entering 'third_party/pthreadpool' 2025-09-07T07:48:54.0247337Z Entering 'third_party/pybind11' 2025-09-07T07:48:54.0308165Z Entering 'third_party/python-peachpy' 2025-09-07T07:48:54.0369549Z Entering 'third_party/sleef' 2025-09-07T07:48:54.0428659Z Entering 'third_party/tensorpipe' 2025-09-07T07:48:54.0489152Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:48:54.0547102Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:48:54.0611039Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:48:54.0668055Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:48:54.0730388Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:48:54.0815792Z ##[endgroup] 2025-09-07T07:48:54.0865306Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:48:54.0894440Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:48:54.1057455Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-09-07T07:48:54.1057791Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:48:54.1058102Z # Clean stale submodule dirs 2025-09-07T07:48:54.1058399Z if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:48:54.1058753Z  sudo git submodule foreach --recursive git clean -ffdx 2025-09-07T07:48:54.1059098Z else 2025-09-07T07:48:54.1059379Z  git submodule foreach --recursive git clean -ffdx 2025-09-07T07:48:54.1059713Z fi 2025-09-07T07:48:54.1070903Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:48:54.1071229Z env: 2025-09-07T07:48:54.1071419Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:54.1071649Z NO_SUDO: true 2025-09-07T07:48:54.1071845Z ##[endgroup] 2025-09-07T07:48:54.1508125Z Entering 'android/libs/fbjni' 2025-09-07T07:48:54.1555870Z Entering 'third_party/FP16' 2025-09-07T07:48:54.1603475Z Entering 'third_party/FXdiv' 2025-09-07T07:48:54.1648828Z Entering 'third_party/NNPACK' 2025-09-07T07:48:54.1698881Z Entering 'third_party/NVTX' 2025-09-07T07:48:54.1753618Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:48:54.1801047Z Entering 'third_party/XNNPACK' 2025-09-07T07:48:54.1955582Z Entering 'third_party/aiter' 2025-09-07T07:48:54.2014070Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:48:54.2161384Z Entering 'third_party/benchmark' 2025-09-07T07:48:54.2209416Z Entering 'third_party/composable_kernel' 2025-09-07T07:48:54.2369914Z Entering 'third_party/cpp-httplib' 2025-09-07T07:48:54.2417439Z Entering 'third_party/cpuinfo' 2025-09-07T07:48:54.2470804Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:48:54.2520871Z Entering 'third_party/cutlass' 2025-09-07T07:48:54.2650465Z Entering 'third_party/fbgemm' 2025-09-07T07:48:54.2732749Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:48:54.2777780Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:48:54.2921364Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:48:54.2970093Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:48:54.3097506Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:48:54.3144799Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:48:54.3187083Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:48:54.3250096Z Entering 'third_party/flash-attention' 2025-09-07T07:48:54.3305609Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:48:54.3435944Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:48:54.3556996Z Entering 'third_party/flatbuffers' 2025-09-07T07:48:54.3656067Z Entering 'third_party/fmt' 2025-09-07T07:48:54.3705316Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:48:54.3752848Z Entering 'third_party/gloo' 2025-09-07T07:48:54.3800775Z Entering 'third_party/googletest' 2025-09-07T07:48:54.3849776Z Entering 'third_party/ideep' 2025-09-07T07:48:54.3892329Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:48:54.4007798Z Entering 'third_party/ittapi' 2025-09-07T07:48:54.4056073Z Entering 'third_party/kineto' 2025-09-07T07:48:54.4103407Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:48:54.4150983Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:48:54.4214021Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:48:54.4259510Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:48:54.4305935Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:48:54.4348068Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:48:54.4394936Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:48:54.4440498Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:48:54.4487967Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:48:54.4545065Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:48:54.4593182Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:48:54.4637060Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:48:54.4686618Z Entering 'third_party/kleidiai' 2025-09-07T07:48:54.4745097Z Entering 'third_party/mimalloc' 2025-09-07T07:48:54.4793869Z Entering 'third_party/nlohmann' 2025-09-07T07:48:54.4857367Z Entering 'third_party/onnx' 2025-09-07T07:48:54.5314295Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:48:54.5368404Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:48:54.5446195Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:48:54.5490084Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:48:54.5541386Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:48:54.5585585Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:48:54.5649232Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:48:54.5696725Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:48:54.5741610Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:48:54.5784836Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:48:54.5850803Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:48:54.5901035Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:48:54.6252692Z Entering 'third_party/pocketfft' 2025-09-07T07:48:54.6297459Z Entering 'third_party/protobuf' 2025-09-07T07:48:54.6412885Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:48:54.6457025Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:48:54.6514172Z Entering 'third_party/psimd' 2025-09-07T07:48:54.6558545Z Entering 'third_party/pthreadpool' 2025-09-07T07:48:54.6603587Z Entering 'third_party/pybind11' 2025-09-07T07:48:54.6655215Z Entering 'third_party/python-peachpy' 2025-09-07T07:48:54.6701553Z Entering 'third_party/sleef' 2025-09-07T07:48:54.6750321Z Entering 'third_party/tensorpipe' 2025-09-07T07:48:54.6798787Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:48:54.6844201Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:48:54.6888347Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:48:54.6938379Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:48:54.6980314Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:48:54.7155348Z Prepare all required actions 2025-09-07T07:48:54.7155948Z Getting action download info 2025-09-07T07:48:54.8279449Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:48:54.8279752Z env: 2025-09-07T07:48:54.8279949Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:54.8280175Z ##[endgroup] 2025-09-07T07:48:54.8344814Z ##[group]Run set -euo pipefail 2025-09-07T07:48:54.8345132Z set -euo pipefail 2025-09-07T07:48:54.8345400Z function get_ec2_metadata() { 2025-09-07T07:48:54.8345749Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:48:54.8346321Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:48:54.8346824Z  category=$1 2025-09-07T07:48:54.8347152Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:48:54.8347553Z  runner_name_str=i-01adaa3a40ced2b96 2025-09-07T07:48:54.8347896Z  if [[ -f /.inarc ]]; then 2025-09-07T07:48:54.8348216Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:48:54.8348564Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:48:54.8348996Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:48:54.8349378Z  else 2025-09-07T07:48:54.8350138Z  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}" 2025-09-07T07:48:54.8350942Z  fi 2025-09-07T07:48:54.8351133Z } 2025-09-07T07:48:54.8351375Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:48:54.8351761Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:48:54.8352196Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:48:54.8352573Z echo "system info $(uname -a)" 2025-09-07T07:48:54.8362720Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:48:54.8363059Z env: 2025-09-07T07:48:54.8363254Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:54.8363496Z ##[endgroup] 2025-09-07T07:48:54.8545301Z ami-id: ami-05ffe3c48a9991133 2025-09-07T07:48:54.8671227Z instance-id: i-01adaa3a40ced2b96 2025-09-07T07:48:54.8797728Z instance-type: g5.4xlarge 2025-09-07T07:48:54.8812197Z system info Linux ip-10-0-37-127.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T07:48:54.8854037Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:48:54.8854902Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:48:54.8863990Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:48:54.8864345Z env: 2025-09-07T07:48:54.8864534Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:54.8864776Z ##[endgroup] 2025-09-07T07:48:54.8930120Z ##[group]Run if systemctl is-active --quiet docker; then 2025-09-07T07:48:54.8930698Z if systemctl is-active --quiet docker; then 2025-09-07T07:48:54.8931052Z  echo "Docker daemon is running..."; 2025-09-07T07:48:54.8931344Z else 2025-09-07T07:48:54.8931668Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-09-07T07:48:54.8932036Z fi 2025-09-07T07:48:54.8940087Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:48:54.8940428Z env: 2025-09-07T07:48:54.8940623Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:54.8940854Z ##[endgroup] 2025-09-07T07:48:54.9041737Z Docker daemon is running... 2025-09-07T07:48:54.9085175Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:48:54.9085448Z with: 2025-09-07T07:48:54.9085621Z shell: bash 2025-09-07T07:48:54.9086046Z timeout_minutes: 5 2025-09-07T07:48:54.9086269Z max_attempts: 3 2025-09-07T07:48:54.9086481Z retry_wait_seconds: 30 2025-09-07T07:48:54.9088477Z command: AWS_ACCOUNT_ID=$(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 2025-09-07T07:48:54.9090485Z polling_interval_seconds: 1 2025-09-07T07:48:54.9090740Z warning_on_retry: true 2025-09-07T07:48:54.9090967Z continue_on_error: false 2025-09-07T07:48:54.9091191Z env: 2025-09-07T07:48:54.9091383Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:54.9091622Z AWS_RETRY_MODE: standard 2025-09-07T07:48:54.9091845Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:48:54.9092073Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:48:54.9092318Z ##[endgroup] 2025-09-07T07:48:56.0951872Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:48:56.0952449Z Configure a credential helper to remove this warning. See 2025-09-07T07:48:56.0952974Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:48:56.0953337Z 2025-09-07T07:48:56.0953427Z Login Succeeded 2025-09-07T07:48:56.9975307Z Command completed after 1 attempt(s). 2025-09-07T07:48:57.0066259Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:48:57.0066738Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:48:57.0067199Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:48:57.0078194Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:48:57.0078532Z env: 2025-09-07T07:48:57.0078718Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:57.0078952Z ##[endgroup] 2025-09-07T07:48:57.0191263Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:48:57.0191956Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:48:57.0192508Z # shellcheck disable=SC2046 2025-09-07T07:48:57.0192932Z docker stop $(docker ps -q) || true 2025-09-07T07:48:57.0193370Z # Prune all of the docker images 2025-09-07T07:48:57.0193678Z docker system prune -af 2025-09-07T07:48:57.0203091Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:48:57.0203441Z env: 2025-09-07T07:48:57.0203651Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:57.0203942Z ##[endgroup] 2025-09-07T07:48:57.0498630Z "docker stop" requires at least 1 argument. 2025-09-07T07:48:57.0499024Z See 'docker stop --help'. 2025-09-07T07:48:57.0499187Z 2025-09-07T07:48:57.0499361Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-09-07T07:48:57.0499607Z 2025-09-07T07:48:57.0499710Z Stop one or more running containers 2025-09-07T07:48:57.0862811Z Total reclaimed space: 0B 2025-09-07T07:48:57.0914153Z ##[group]Run set +e 2025-09-07T07:48:57.0914399Z set +e 2025-09-07T07:48:57.0914602Z set -x 2025-09-07T07:48:57.0914795Z  2025-09-07T07:48:57.0915014Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:48:57.0915533Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:48:57.0916209Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:48:57.0916674Z # one is returned at random 2025-09-07T07:48:57.0917031Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:48:57.0917369Z  2025-09-07T07:48:57.0917765Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:48:57.0918164Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:48:57.0918936Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:48:57.0919296Z  2025-09-07T07:48:57.0919505Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:48:57.0919853Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:48:57.0920173Z  exit 1 2025-09-07T07:48:57.0920375Z  fi 2025-09-07T07:48:57.0920554Z fi 2025-09-07T07:48:57.0920730Z  2025-09-07T07:48:57.0920957Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:48:57.0921286Z  # Clean up any old records first 2025-09-07T07:48:57.0921603Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:48:57.0921888Z fi 2025-09-07T07:48:57.0922064Z  2025-09-07T07:48:57.0922345Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:48:57.0922691Z cat /etc/hosts 2025-09-07T07:48:57.0931929Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:48:57.0932279Z env: 2025-09-07T07:48:57.0932483Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:57.0932720Z ##[endgroup] 2025-09-07T07:48:57.0963274Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:48:57.0970243Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:48:57.0971586Z ++ tail -n1 2025-09-07T07:48:57.1335244Z + RESOLVED_IP=18.160.10.36 2025-09-07T07:48:57.1335528Z + '[' -z 18.160.10.36 ']' 2025-09-07T07:48:57.1335806Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:48:57.1355661Z + echo '18.160.10.36 download.pytorch.org' 2025-09-07T07:48:57.1356557Z + sudo tee -a /etc/hosts 2025-09-07T07:48:57.5777747Z 18.160.10.36 download.pytorch.org 2025-09-07T07:48:57.5801774Z + cat /etc/hosts 2025-09-07T07:48:57.5814427Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-09-07T07:48:57.5820383Z ::1 localhost6 localhost6.localdomain6 2025-09-07T07:48:57.5820803Z 18.160.10.36 download.pytorch.org 2025-09-07T07:48:57.5981802Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:48:57.5982235Z with: 2025-09-07T07:48:57.5983081Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:57.5984026Z use-custom-docker-registry: true 2025-09-07T07:48:57.5984306Z docker-build-dir: .ci/docker 2025-09-07T07:48:57.5984572Z docker-build-script: ./build.sh 2025-09-07T07:48:57.5984839Z working-directory: . 2025-09-07T07:48:57.5985154Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:48:57.5985501Z force-push: false 2025-09-07T07:48:57.5985705Z env: 2025-09-07T07:48:57.5985889Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:57.5986119Z ##[endgroup] 2025-09-07T07:48:57.6027212Z ##[group]Run set -ex 2025-09-07T07:48:57.6027499Z set -ex 2025-09-07T07:48:57.6027701Z  2025-09-07T07:48:57.6028084Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:48:57.6028853Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:48:57.6029360Z # job could then download the pre-built image as usual 2025-09-07T07:48:57.6029983Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:48:57.6030565Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:48:57.6030861Z else 2025-09-07T07:48:57.6031099Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:48:57.6031498Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:48:57.6031861Z  2025-09-07T07:48:57.6032358Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:48:57.6032914Z  exit 0 2025-09-07T07:48:57.6033121Z fi 2025-09-07T07:48:57.6033300Z  2025-09-07T07:48:57.6033603Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:48:57.6034141Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:48:57.6034620Z  # use it as it is, but first let's extract the tag 2025-09-07T07:48:57.6035053Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:48:57.6035507Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:48:57.6035947Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:48:57.6036308Z else 2025-09-07T07:48:57.6036549Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:48:57.6036895Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:48:57.6037259Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:48:57.6037606Z  fi 2025-09-07T07:48:57.6038011Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:48:57.6038559Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:48:57.6039128Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:48:57.6039761Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:48:57.6040145Z fi 2025-09-07T07:48:57.6052748Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:48:57.6053086Z env: 2025-09-07T07:48:57.6053278Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:57.6053525Z REPO_NAME: pytorch 2025-09-07T07:48:57.6054570Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:57.6055489Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:48:57.6055747Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:48:57.6056101Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:48:57.6056467Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:48:57.6056737Z CUSTOM_TAG_PREFIX: 2025-09-07T07:48:57.6056957Z ##[endgroup] 2025-09-07T07:48:57.6090485Z + [[ -d .ci/docker ]] 2025-09-07T07:48:57.6090754Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:48:57.6091005Z + [[ true == \t\r\u\e ]] 2025-09-07T07:48:57.6091234Z + echo skip=false 2025-09-07T07:48:57.6092324Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 == *\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* ]] 2025-09-07T07:48:57.6099039Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:57.6100079Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:48:57.6130148Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:57.6131227Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:57.6132556Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:57.6164728Z ##[group]Run set +e 2025-09-07T07:48:57.6164994Z set +e 2025-09-07T07:48:57.6165200Z set -x 2025-09-07T07:48:57.6165404Z  2025-09-07T07:48:57.6165590Z login() { 2025-09-07T07:48:57.6166025Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:48:57.6166496Z } 2025-09-07T07:48:57.6166683Z  2025-09-07T07:48:57.6166871Z retry () { 2025-09-07T07:48:57.6167122Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:48:57.6167410Z } 2025-09-07T07:48:57.6167594Z  2025-09-07T07:48:57.6167806Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:48:57.6168072Z  2025-09-07T07:48:57.6168268Z START_TIME=$(date +%s) 2025-09-07T07:48:57.6168538Z # Wait up to 120 minutes 2025-09-07T07:48:57.6168872Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:48:57.6169312Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:48:57.6169756Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:48:57.6170081Z  exit 0 2025-09-07T07:48:57.6170292Z  fi 2025-09-07T07:48:57.6170485Z  2025-09-07T07:48:57.6170826Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:48:57.6171418Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:48:57.6172010Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:48:57.6172476Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:48:57.6172839Z  # It's a Docker build job, let's build the image 2025-09-07T07:48:57.6173144Z  break 2025-09-07T07:48:57.6173351Z  else 2025-09-07T07:48:57.6173657Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:48:57.6174025Z  sleep 300 2025-09-07T07:48:57.6174237Z  fi 2025-09-07T07:48:57.6174428Z done 2025-09-07T07:48:57.6174618Z  2025-09-07T07:48:57.6175106Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:48:57.6175626Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:48:57.6176089Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:48:57.6176505Z  # if we're on the base branch then use the parent commit 2025-09-07T07:48:57.6176867Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:48:57.6177167Z else 2025-09-07T07:48:57.6177491Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:48:57.6177922Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:48:57.6178240Z fi 2025-09-07T07:48:57.6178427Z  2025-09-07T07:48:57.6178632Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:48:57.6178956Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:48:57.6179250Z  2025-09-07T07:48:57.6179667Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:48:57.6180272Z  exit 0 2025-09-07T07:48:57.6180474Z fi 2025-09-07T07:48:57.6180659Z  2025-09-07T07:48:57.6180936Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:48:57.6181549Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:48:57.6182060Z  exit 1 2025-09-07T07:48:57.6182261Z fi 2025-09-07T07:48:57.6182444Z  2025-09-07T07:48:57.6182775Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:48:57.6183358Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:48:57.6183885Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:48:57.6184500Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:48:57.6185189Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:48:57.6185597Z fi 2025-09-07T07:48:57.6185777Z  2025-09-07T07:48:57.6186017Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:48:57.6194224Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:48:57.6194562Z env: 2025-09-07T07:48:57.6194746Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:57.6194998Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:48:57.6195311Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:48:57.6196270Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:57.6197561Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:57.6198310Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:48:57.6198665Z DOCKER_PUSH: 2025-09-07T07:48:57.6198870Z ##[endgroup] 2025-09-07T07:48:57.6230689Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:48:57.6231097Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:48:57.6234095Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:48:57.6235370Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:48:58.1625135Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:48:58.1625719Z Configure a credential helper to remove this warning. See 2025-09-07T07:48:58.1626254Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:48:58.1626685Z 2025-09-07T07:48:58.1627042Z Login Succeeded 2025-09-07T07:48:58.1657396Z ++ date +%s 2025-09-07T07:48:58.1671812Z + START_TIME=1757231338 2025-09-07T07:48:58.1675378Z ++ date +%s 2025-09-07T07:48:58.1687693Z + [[ 1757224138 -lt 1757231338 ]] 2025-09-07T07:48:58.1688653Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:58.3856451Z { 2025-09-07T07:48:58.3856926Z "schemaVersion": 2, 2025-09-07T07:48:58.3857474Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:48:58.3857991Z "config": { 2025-09-07T07:48:58.3858382Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:48:58.3858849Z "size": 31375, 2025-09-07T07:48:58.3859323Z "digest": "sha256:29d1d8a31b215537637bab7c99e18c255840b899cf7023e4e3cb5efa3270aef8" 2025-09-07T07:48:58.3859871Z }, 2025-09-07T07:48:58.3860092Z "layers": [ 2025-09-07T07:48:58.3860339Z { 2025-09-07T07:48:58.3860764Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3861546Z "size": 30448359, 2025-09-07T07:48:58.3862054Z "digest": "sha256:e6fdc8487bfe6d764301ef3634bc6c043841dc3ab05ca14f81e69c0f92562d46" 2025-09-07T07:48:58.3862613Z }, 2025-09-07T07:48:58.3862824Z { 2025-09-07T07:48:58.3863212Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3863706Z "size": 1554, 2025-09-07T07:48:58.3864201Z "digest": "sha256:171dcef20c49de4bc9268f60e02f111b72c638b0f24c3c5636c5013029db6d30" 2025-09-07T07:48:58.3864756Z }, 2025-09-07T07:48:58.3864983Z { 2025-09-07T07:48:58.3865370Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3865868Z "size": 313297922, 2025-09-07T07:48:58.3866383Z "digest": 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"sha256:9e97578e9edf1a11187740a5aa102633331fb6a714d0ed48683782de5a36fbd8" 2025-09-07T07:48:58.3963615Z }, 2025-09-07T07:48:58.3963767Z { 2025-09-07T07:48:58.3964054Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3964468Z "size": 1012, 2025-09-07T07:48:58.3964835Z "digest": "sha256:da5a91b54cb51f851560992645bc203f2287d9b1d7a4f04f7f4ea7efe45036ce" 2025-09-07T07:48:58.3965241Z }, 2025-09-07T07:48:58.3965396Z { 2025-09-07T07:48:58.3965678Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3966037Z "size": 724, 2025-09-07T07:48:58.3966394Z "digest": "sha256:553c1d23b6c4dbd8ab136d0c3659460391ffa14cb9b43be9d7b2f47f90895697" 2025-09-07T07:48:58.3966804Z }, 2025-09-07T07:48:58.3966960Z { 2025-09-07T07:48:58.3967248Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3967602Z "size": 135, 2025-09-07T07:48:58.3967972Z "digest": "sha256:1e93be219e89e7733b91ba7e3af1a44d985e84959f732ecd5f5ca61bd13b5d41" 2025-09-07T07:48:58.3968386Z }, 2025-09-07T07:48:58.3968544Z { 2025-09-07T07:48:58.3968822Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3969185Z "size": 32, 2025-09-07T07:48:58.3969548Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:48:58.3969966Z }, 2025-09-07T07:48:58.3970119Z { 2025-09-07T07:48:58.3970404Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3970763Z "size": 158, 2025-09-07T07:48:58.3971118Z "digest": "sha256:136825afebb533ee295f0d2523595281086c6410c60d5f712b84cefd24cb31d5" 2025-09-07T07:48:58.3971521Z }, 2025-09-07T07:48:58.3971677Z { 2025-09-07T07:48:58.3971962Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3972328Z "size": 1368, 2025-09-07T07:48:58.3972685Z "digest": "sha256:22b39805302d877e4c1ba433ebc36520438ea29a9ba8bc059efbcd9106f3a82d" 2025-09-07T07:48:58.3973099Z }, 2025-09-07T07:48:58.3973258Z { 2025-09-07T07:48:58.3973542Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3973895Z "size": 32, 2025-09-07T07:48:58.3974261Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:48:58.3974679Z }, 2025-09-07T07:48:58.3974838Z { 2025-09-07T07:48:58.3975116Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3975477Z "size": 136, 2025-09-07T07:48:58.3975844Z "digest": "sha256:d12add675e3505e74eb9880eeef540ea0801282ca1ae01c3c221157cec91f5ae" 2025-09-07T07:48:58.3976258Z }, 2025-09-07T07:48:58.3976410Z { 2025-09-07T07:48:58.3976693Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3977056Z "size": 380, 2025-09-07T07:48:58.3977514Z "digest": "sha256:bc127046d33a7a98563698411b54ece8a167d520922879d7b69e8ca73a12d034" 2025-09-07T07:48:58.3977919Z }, 2025-09-07T07:48:58.3978081Z { 2025-09-07T07:48:58.3978367Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3978727Z "size": 32, 2025-09-07T07:48:58.3979087Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:48:58.3979506Z }, 2025-09-07T07:48:58.3979668Z { 2025-09-07T07:48:58.3979959Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3980315Z "size": 104, 2025-09-07T07:48:58.3980670Z "digest": "sha256:951e8ce838415c4257680a9d60d216f3750cbb18d243d9a21e2008cce7e589cf" 2025-09-07T07:48:58.3981075Z }, 2025-09-07T07:48:58.3981231Z { 2025-09-07T07:48:58.3981515Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3981884Z "size": 408, 2025-09-07T07:48:58.3982256Z "digest": "sha256:32340b97ae50ba7b2918ab40d6f4a8db875afee69318f484e4deb0a1e2ec4beb" 2025-09-07T07:48:58.3982665Z }, 2025-09-07T07:48:58.3982915Z { 2025-09-07T07:48:58.3983198Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3983557Z "size": 32, 2025-09-07T07:48:58.3983915Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:48:58.3984330Z }, 2025-09-07T07:48:58.3984485Z { 2025-09-07T07:48:58.3984768Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3985121Z "size": 109, 2025-09-07T07:48:58.3985499Z "digest": "sha256:5bbb04cd6b57ae13d7cf05ab9e9b4ed9752833ee2dba4eeaac47bde6022c4725" 2025-09-07T07:48:58.3985921Z }, 2025-09-07T07:48:58.3986080Z { 2025-09-07T07:48:58.3986358Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3986718Z "size": 1897, 2025-09-07T07:48:58.3987092Z "digest": "sha256:d8c4b845cfc7ca7cc0604f472bf6da8b1f1d4e98dff3c76e1985a7013a5b9e3f" 2025-09-07T07:48:58.3987517Z }, 2025-09-07T07:48:58.3987669Z { 2025-09-07T07:48:58.3987961Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3988324Z "size": 243440375, 2025-09-07T07:48:58.3988755Z "digest": "sha256:b35c180f4d8ddc2396eac4a6b893f438481a8163ceb0b88f203488bc5f2a8ba4" 2025-09-07T07:48:58.3989163Z }, 2025-09-07T07:48:58.3989322Z { 2025-09-07T07:48:58.3989610Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3989968Z "size": 106, 2025-09-07T07:48:58.3990319Z "digest": "sha256:5f967b3c303a99e609441551f7c8988cca4fd464c0c3127506bff8509583091b" 2025-09-07T07:48:58.3990722Z }, 2025-09-07T07:48:58.3990878Z { 2025-09-07T07:48:58.3991163Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3991518Z "size": 166, 2025-09-07T07:48:58.3991879Z "digest": "sha256:04770904f012e5584f1c19a0bc92d9863baaebf08bf75b4a9981f2b7795c8953" 2025-09-07T07:48:58.3992289Z }, 2025-09-07T07:48:58.3992451Z { 2025-09-07T07:48:58.3992732Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3993103Z "size": 7943, 2025-09-07T07:48:58.3993470Z "digest": "sha256:73373941fb321b4cb4a171b1423a68a4c7fedada3a1498868d7efe93cb03170e" 2025-09-07T07:48:58.3993881Z }, 2025-09-07T07:48:58.3994032Z { 2025-09-07T07:48:58.3994321Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3994686Z "size": 8072, 2025-09-07T07:48:58.3995055Z "digest": "sha256:9572e6cd907bfa4888456dbccc6e22146a0044374585f3fa0a8ced19b831ed62" 2025-09-07T07:48:58.3995455Z }, 2025-09-07T07:48:58.3995613Z { 2025-09-07T07:48:58.3995901Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3996261Z "size": 304, 2025-09-07T07:48:58.3996617Z "digest": "sha256:64a544aba233551e38898f138dd6ba3161ccdb9554e0ffb5b9d8f0f7fe4a7fa8" 2025-09-07T07:48:58.3997028Z }, 2025-09-07T07:48:58.3997185Z { 2025-09-07T07:48:58.3997558Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3997917Z "size": 13362696, 2025-09-07T07:48:58.3998321Z "digest": "sha256:7e35418a24997de5428763c93826679486760a1a9563209ae64de66ba45f99c1" 2025-09-07T07:48:58.3998715Z }, 2025-09-07T07:48:58.3998873Z { 2025-09-07T07:48:58.3999151Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.3999509Z "size": 108, 2025-09-07T07:48:58.3999869Z "digest": "sha256:2ed8e82748d4a1131f41d9e41322f47a6ffef67a5a2b7bf5392237db5c035c61" 2025-09-07T07:48:58.4000280Z }, 2025-09-07T07:48:58.4000434Z { 2025-09-07T07:48:58.4000717Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.4001076Z "size": 54145663, 2025-09-07T07:48:58.4001452Z "digest": "sha256:c988fbcccd708fb158a81c429d32e1060a7e40924fc3c987c629fa69d9484717" 2025-09-07T07:48:58.4001865Z }, 2025-09-07T07:48:58.4002016Z { 2025-09-07T07:48:58.4002306Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:48:58.4002664Z "size": 32, 2025-09-07T07:48:58.4003110Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:48:58.4003524Z } 2025-09-07T07:48:58.4003680Z ] 2025-09-07T07:48:58.4003838Z } 2025-09-07T07:48:58.4004008Z + exit 0 2025-09-07T07:48:58.4050750Z ##[group]Run set -eux 2025-09-07T07:48:58.4050990Z set -eux 2025-09-07T07:48:58.4051364Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:48:58.4052376Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-09-07T07:48:58.4061977Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:48:58.4062312Z env: 2025-09-07T07:48:58.4062512Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:58.4062754Z ##[endgroup] 2025-09-07T07:48:58.4098512Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:48:58.4098996Z + jq --raw-output .SecretString 2025-09-07T07:48:58.4101045Z + jq -r .docker_hub_readonly_token 2025-09-07T07:48:58.4102872Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:48:58.9898632Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:48:58.9899211Z Configure a credential helper to remove this warning. See 2025-09-07T07:48:58.9899750Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:48:58.9900111Z 2025-09-07T07:48:58.9900236Z Login Succeeded 2025-09-07T07:48:58.9998194Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:48:58.9998534Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:48:58.9998888Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:48:59.0008106Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:48:59.0008453Z env: 2025-09-07T07:48:59.0008664Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:59.0009567Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:59.0010481Z ##[endgroup] 2025-09-07T07:48:59.0042426Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:59.0097170Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:48:59.0097573Z with: 2025-09-07T07:48:59.0098390Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:59.0099365Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:48:59.0099713Z env: 2025-09-07T07:48:59.0099909Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:59.0100140Z ##[endgroup] 2025-09-07T07:48:59.0126083Z ##[group]Run set -x 2025-09-07T07:48:59.0126334Z set -x 2025-09-07T07:48:59.0126535Z set +e 2025-09-07T07:48:59.0126729Z  2025-09-07T07:48:59.0126909Z login() { 2025-09-07T07:48:59.0127339Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:48:59.0127844Z } 2025-09-07T07:48:59.0128027Z  2025-09-07T07:48:59.0128233Z retry () { 2025-09-07T07:48:59.0128483Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:48:59.0128755Z } 2025-09-07T07:48:59.0128938Z  2025-09-07T07:48:59.0129145Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:48:59.0129414Z  2025-09-07T07:48:59.0129837Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:48:59.0130426Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:48:59.0130921Z  2025-09-07T07:48:59.0131104Z set -e 2025-09-07T07:48:59.0131408Z # ignore output since only exit code is used for conditional 2025-09-07T07:48:59.0131848Z # only pull docker image if it's not available locally 2025-09-07T07:48:59.0132331Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:48:59.0132784Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:48:59.0133067Z fi 2025-09-07T07:48:59.0141987Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:48:59.0142331Z env: 2025-09-07T07:48:59.0142536Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:59.0143412Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:59.0144397Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:48:59.0144759Z ##[endgroup] 2025-09-07T07:48:59.0178976Z + set +e 2025-09-07T07:48:59.0179291Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:48:59.0179680Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:48:59.0183517Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:48:59.0184476Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:48:59.5376345Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:48:59.5376900Z Configure a credential helper to remove this warning. See 2025-09-07T07:48:59.5377419Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:48:59.5377769Z 2025-09-07T07:48:59.5377904Z Login Succeeded 2025-09-07T07:48:59.5409652Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:59.5410730Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:48:59.7474904Z + IMAGE_SIZE=36183.606596946716 2025-09-07T07:48:59.7475300Z + echo 'Compressed size of image in MB: 36183.606596946716' 2025-09-07T07:48:59.7475659Z + set -e 2025-09-07T07:48:59.7475917Z Compressed size of image in MB: 36183.606596946716 2025-09-07T07:48:59.7477226Z + 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-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:59.7616397Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:59.7618093Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:48:59.9828266Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:48:59.9834916Z e6fdc8487bfe: Pulling fs layer 2025-09-07T07:48:59.9835361Z 171dcef20c49: Pulling fs layer 2025-09-07T07:48:59.9835644Z 4c92b3f72f1d: Pulling fs layer 2025-09-07T07:48:59.9835897Z 744f9ba90a65: Pulling fs layer 2025-09-07T07:48:59.9836168Z d3c08322a332: Pulling fs layer 2025-09-07T07:48:59.9836484Z ffd43b71f3cc: Pulling fs layer 2025-09-07T07:48:59.9836855Z 830692b57f6e: Pulling fs layer 2025-09-07T07:48:59.9837233Z 5bad36d18468: Pulling fs layer 2025-09-07T07:48:59.9837581Z 0e34fdd9ac5c: Pulling fs layer 2025-09-07T07:48:59.9837944Z 3c868a62868e: Pulling fs layer 2025-09-07T07:48:59.9852108Z 62170a22dd57: Pulling fs layer 2025-09-07T07:48:59.9852438Z 553c1d23b6c4: Pulling fs layer 2025-09-07T07:48:59.9852723Z 9408d557a804: Pulling fs layer 2025-09-07T07:48:59.9852996Z df607cfc7c07: Pulling fs layer 2025-09-07T07:48:59.9853609Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:48:59.9853863Z 40a8e39faeda: Pulling fs layer 2025-09-07T07:48:59.9854212Z d895771c9fac: Pulling fs layer 2025-09-07T07:48:59.9854583Z c4ee04f39d49: Pulling fs layer 2025-09-07T07:48:59.9854837Z ffd43b71f3cc: Waiting 2025-09-07T07:48:59.9855062Z 830692b57f6e: Waiting 2025-09-07T07:48:59.9855304Z 3690c9826e48: Pulling fs layer 2025-09-07T07:48:59.9855663Z 57cbc5013733: Pulling fs layer 2025-09-07T07:48:59.9855959Z f5f4b06b58bb: Pulling fs layer 2025-09-07T07:48:59.9856239Z f59713ce4bf4: Pulling fs layer 2025-09-07T07:48:59.9856531Z fe0486521517: Pulling fs layer 2025-09-07T07:48:59.9856788Z 8c21cc3715a2: Pulling fs layer 2025-09-07T07:48:59.9857056Z d37c58456a6a: Pulling fs layer 2025-09-07T07:48:59.9857308Z d042f63abc13: Pulling fs layer 2025-09-07T07:48:59.9857560Z 621284a9c05a: Pulling fs layer 2025-09-07T07:48:59.9857818Z 85f605d2dd3a: Pulling fs layer 2025-09-07T07:48:59.9858075Z 381b5539e598: Pulling fs layer 2025-09-07T07:48:59.9858320Z a487c0c80029: Pulling fs layer 2025-09-07T07:48:59.9858588Z 48bcb81e2566: Pulling fs layer 2025-09-07T07:48:59.9858842Z e261928c0043: Pulling fs layer 2025-09-07T07:48:59.9859093Z 0fea55428091: Pulling fs layer 2025-09-07T07:48:59.9859339Z b4291bccbb84: Pulling fs layer 2025-09-07T07:48:59.9859595Z ddc91b09189a: Pulling fs layer 2025-09-07T07:48:59.9859852Z 7540c7428627: Pulling fs layer 2025-09-07T07:48:59.9860144Z 003c4e2598fb: Pulling fs layer 2025-09-07T07:48:59.9860388Z 5687149362ae: Pulling fs layer 2025-09-07T07:48:59.9860644Z 57cbc5013733: Waiting 2025-09-07T07:48:59.9860914Z cdd2cf54eb2a: Pulling fs layer 2025-09-07T07:48:59.9861267Z d3ad4df1ba3a: Pulling fs layer 2025-09-07T07:48:59.9861576Z 3c9055753b4c: Pulling fs layer 2025-09-07T07:48:59.9861928Z 31cf8d0bd21c: Pulling fs layer 2025-09-07T07:48:59.9862245Z 6623ea814971: Pulling fs layer 2025-09-07T07:48:59.9862490Z 11696c3aa380: Pulling fs layer 2025-09-07T07:48:59.9862732Z ef4d544e35ca: Pulling fs layer 2025-09-07T07:48:59.9862985Z 5c5108865e5e: Pulling fs layer 2025-09-07T07:48:59.9863304Z 9e97578e9edf: Pulling fs layer 2025-09-07T07:48:59.9863604Z da5a91b54cb5: Pulling fs layer 2025-09-07T07:48:59.9863848Z 1e93be219e89: Pulling fs layer 2025-09-07T07:48:59.9864162Z 136825afebb5: Pulling fs layer 2025-09-07T07:48:59.9864473Z 22b39805302d: Pulling fs layer 2025-09-07T07:48:59.9864850Z d12add675e35: Pulling fs layer 2025-09-07T07:48:59.9865097Z bc127046d33a: Pulling fs layer 2025-09-07T07:48:59.9865563Z 951e8ce83841: Pulling fs layer 2025-09-07T07:48:59.9865832Z 32340b97ae50: Pulling fs layer 2025-09-07T07:48:59.9866086Z 5bbb04cd6b57: Pulling fs layer 2025-09-07T07:48:59.9866330Z d8c4b845cfc7: Pulling fs layer 2025-09-07T07:48:59.9866579Z b35c180f4d8d: Pulling fs layer 2025-09-07T07:48:59.9866830Z 5f967b3c303a: Pulling fs layer 2025-09-07T07:48:59.9867076Z 04770904f012: Pulling fs layer 2025-09-07T07:48:59.9867316Z 73373941fb32: Pulling fs layer 2025-09-07T07:48:59.9867565Z 9572e6cd907b: Pulling fs layer 2025-09-07T07:48:59.9867839Z 64a544aba233: Pulling fs layer 2025-09-07T07:48:59.9868119Z 7e35418a2499: Pulling fs layer 2025-09-07T07:48:59.9868404Z 2ed8e82748d4: Pulling fs layer 2025-09-07T07:48:59.9868756Z c988fbcccd70: Pulling fs layer 2025-09-07T07:48:59.9869004Z 48bcb81e2566: Waiting 2025-09-07T07:48:59.9869304Z 5bad36d18468: Waiting 2025-09-07T07:48:59.9869530Z 744f9ba90a65: Waiting 2025-09-07T07:48:59.9869780Z d3c08322a332: Waiting 2025-09-07T07:48:59.9869994Z 0e34fdd9ac5c: Waiting 2025-09-07T07:48:59.9870212Z 553c1d23b6c4: Waiting 2025-09-07T07:48:59.9870409Z 381b5539e598: Waiting 2025-09-07T07:48:59.9870614Z 621284a9c05a: Waiting 2025-09-07T07:48:59.9870819Z f59713ce4bf4: Waiting 2025-09-07T07:48:59.9871016Z d042f63abc13: Waiting 2025-09-07T07:48:59.9871231Z 3c868a62868e: Waiting 2025-09-07T07:48:59.9871531Z 9408d557a804: Waiting 2025-09-07T07:48:59.9871837Z 31cf8d0bd21c: Waiting 2025-09-07T07:48:59.9872175Z e261928c0043: Waiting 2025-09-07T07:48:59.9872514Z 6623ea814971: Waiting 2025-09-07T07:48:59.9872890Z df607cfc7c07: Waiting 2025-09-07T07:48:59.9873345Z 0fea55428091: Waiting 2025-09-07T07:48:59.9873631Z fe0486521517: Waiting 2025-09-07T07:48:59.9873936Z 4f4fb700ef54: Waiting 2025-09-07T07:48:59.9874235Z d37c58456a6a: Waiting 2025-09-07T07:48:59.9874524Z 003c4e2598fb: Waiting 2025-09-07T07:48:59.9874801Z 9e97578e9edf: Waiting 2025-09-07T07:48:59.9875011Z 62170a22dd57: Waiting 2025-09-07T07:48:59.9875217Z 5687149362ae: Waiting 2025-09-07T07:48:59.9875422Z 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2025-09-07T08:02:01.6082829Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:02:01.6147876Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:02:01.6148752Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:02:01.6163134Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:02:01.6163479Z env: 2025-09-07T08:02:01.6163686Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:02:01.6163934Z ##[endgroup] 2025-09-07T08:02:01.6388970Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-09-07T08:02:01.6389353Z with: 2025-09-07T08:02:01.6389558Z driver-version: 570.133.07 2025-09-07T08:02:01.6389786Z env: 2025-09-07T08:02:01.6389996Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:02:01.6401742Z ##[endgroup] 2025-09-07T08:02:01.6510946Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2025-09-07T08:02:01.6511326Z with: 2025-09-07T08:02:01.6511524Z timeout_minutes: 10 2025-09-07T08:02:01.6511753Z max_attempts: 3 2025-09-07T08:02:01.6536115Z command: # Is it disgusting to have a full shell script here in this github action? Sure # But is it the best way to make it so that this action relies on nothing else? Absolutely set -eou pipefail DISTRIBUTION=$(. /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 2025-09-07T08:02:01.6560233Z retry_wait_seconds: 10 2025-09-07T08:02:01.6560493Z polling_interval_seconds: 1 2025-09-07T08:02:01.6560762Z warning_on_retry: true 2025-09-07T08:02:01.6561004Z continue_on_error: false 2025-09-07T08:02:01.6561254Z env: 2025-09-07T08:02:01.6561456Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:02:01.6561709Z DRIVER_VERSION: 570.133.07 2025-09-07T08:02:01.6561951Z ##[endgroup] 2025-09-07T08:02:01.8066092Z == Installing nvidia driver NVIDIA-Linux-x86_64-570.133.07.run == 2025-09-07T08:02:01.8067594Z + pre_install_nvidia_driver_amzn2 2025-09-07T08:02:01.8069613Z + sudo yum remove -y nvidia-driver-latest-dkms 2025-09-07T08:02:03.1397489Z No match for argument: nvidia-driver-latest-dkms 2025-09-07T08:02:03.1397882Z No packages marked for removal. 2025-09-07T08:02:03.1755417Z Dependencies resolved. 2025-09-07T08:02:03.1765632Z Nothing to do. 2025-09-07T08:02:03.1765989Z Complete! 2025-09-07T08:02:03.2941649Z + install_nvidia_driver_common 2025-09-07T08:02:03.2945987Z + echo 'Before installing NVIDIA driver' 2025-09-07T08:02:03.2946292Z + lspci 2025-09-07T08:02:03.2947776Z Before installing NVIDIA driver 2025-09-07T08:02:03.3765871Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-09-07T08:02:03.3766666Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-09-07T08:02:03.3767209Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-09-07T08:02:03.3768020Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-09-07T08:02:03.3768499Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-09-07T08:02:03.3769021Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-09-07T08:02:03.3769508Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-09-07T08:02:03.3769971Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-09-07T08:02:03.3770366Z + lsmod 2025-09-07T08:02:03.3819097Z Module Size Used by 2025-09-07T08:02:03.3819474Z xt_conntrack 16384 1 2025-09-07T08:02:03.3819736Z nft_chain_nat 16384 3 2025-09-07T08:02:03.3819983Z xt_MASQUERADE 20480 1 2025-09-07T08:02:03.3820277Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-09-07T08:02:03.3820599Z nf_conntrack_netlink 57344 0 2025-09-07T08:02:03.3820987Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-09-07T08:02:03.3821419Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-09-07T08:02:03.3821737Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-09-07T08:02:03.3822027Z xfrm_user 57344 1 2025-09-07T08:02:03.3822291Z xfrm_algo 16384 1 xfrm_user 2025-09-07T08:02:03.3822572Z xt_addrtype 16384 2 2025-09-07T08:02:03.3822840Z nft_compat 20480 4 2025-09-07T08:02:03.3823138Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-09-07T08:02:03.3823544Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-09-07T08:02:03.3823901Z br_netfilter 36864 0 2025-09-07T08:02:03.3824173Z bridge 323584 1 br_netfilter 2025-09-07T08:02:03.3824466Z stp 16384 1 bridge 2025-09-07T08:02:03.3824748Z llc 16384 2 bridge,stp 2025-09-07T08:02:03.3825023Z overlay 167936 0 2025-09-07T08:02:03.3825268Z tls 139264 0 2025-09-07T08:02:03.3825509Z nls_ascii 16384 1 2025-09-07T08:02:03.3825763Z nls_cp437 20480 1 2025-09-07T08:02:03.3826001Z vfat 24576 1 2025-09-07T08:02:03.3826249Z fat 86016 1 vfat 2025-09-07T08:02:03.3826509Z sunrpc 700416 1 2025-09-07T08:02:03.3826949Z i8042 45056 0 2025-09-07T08:02:03.3827191Z serio 28672 3 i8042 2025-09-07T08:02:03.3827466Z ghash_clmulni_intel 16384 0 2025-09-07T08:02:03.3827708Z ena 180224 0 2025-09-07T08:02:03.3827937Z button 24576 0 2025-09-07T08:02:03.3828174Z sch_fq_codel 20480 17 2025-09-07T08:02:03.3828414Z fuse 184320 1 2025-09-07T08:02:03.3828648Z dm_mod 188416 0 2025-09-07T08:02:03.3828879Z loop 36864 0 2025-09-07T08:02:03.3829107Z configfs 57344 1 2025-09-07T08:02:03.3829343Z dmi_sysfs 20480 0 2025-09-07T08:02:03.3829579Z crc32_pclmul 16384 0 2025-09-07T08:02:03.3829820Z crc32c_intel 24576 0 2025-09-07T08:02:03.3830050Z efivarfs 24576 1 2025-09-07T08:02:03.3830288Z + modinfo nvidia 2025-09-07T08:02:03.3840816Z filename: /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-09-07T08:02:03.3841368Z import_ns: DMA_BUF 2025-09-07T08:02:03.3841623Z alias: char-major-195-* 2025-09-07T08:02:03.3841872Z version: 570.133.07 2025-09-07T08:02:03.3842210Z supported: external 2025-09-07T08:02:03.3842471Z license: Dual MIT/GPL 2025-09-07T08:02:03.3842850Z firmware: nvidia/570.133.07/gsp_tu10x.bin 2025-09-07T08:02:03.3843425Z firmware: nvidia/570.133.07/gsp_ga10x.bin 2025-09-07T08:02:03.3843798Z srcversion: 49515739FD8F721A3F2F714 2025-09-07T08:02:03.3844128Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-09-07T08:02:03.3844538Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-09-07T08:02:03.3844881Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-09-07T08:02:03.3845393Z depends: i2c-core,drm 2025-09-07T08:02:03.3845679Z retpoline: Y 2025-09-07T08:02:03.3845905Z name: nvidia 2025-09-07T08:02:03.3846278Z vermagic: 6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-09-07T08:02:03.3846767Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-09-07T08:02:03.3847216Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-09-07T08:02:03.3847639Z parm: NVreg_ResmanDebugLevel:int 2025-09-07T08:02:03.3847953Z parm: NVreg_RmLogonRC:int 2025-09-07T08:02:03.3848263Z parm: NVreg_ModifyDeviceFiles:int 2025-09-07T08:02:03.3848590Z parm: NVreg_DeviceFileUID:int 2025-09-07T08:02:03.3848898Z parm: NVreg_DeviceFileGID:int 2025-09-07T08:02:03.3849202Z parm: NVreg_DeviceFileMode:int 2025-09-07T08:02:03.3849568Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-09-07T08:02:03.3849960Z parm: NVreg_UsePageAttributeTable:int 2025-09-07T08:02:03.3850307Z parm: NVreg_EnablePCIeGen3:int 2025-09-07T08:02:03.3850610Z parm: NVreg_EnableMSI:int 2025-09-07T08:02:03.3850924Z parm: NVreg_EnableStreamMemOPs:int 2025-09-07T08:02:03.3851290Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-09-07T08:02:03.3851700Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-09-07T08:02:03.3852079Z parm: NVreg_EnableS0ixPowerManagement:int 2025-09-07T08:02:03.3852494Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-09-07T08:02:03.3852907Z parm: NVreg_DynamicPowerManagement:int 2025-09-07T08:02:03.3853330Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-09-07T08:02:03.3853736Z parm: NVreg_EnableGpuFirmware:int 2025-09-07T08:02:03.3854077Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-09-07T08:02:03.3854456Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-09-07T08:02:03.3854841Z parm: NVreg_EnableUserNUMAManagement:int 2025-09-07T08:02:03.3855189Z parm: NVreg_MemoryPoolSize:int 2025-09-07T08:02:03.3855555Z parm: NVreg_KMallocHeapMaxSize:int 2025-09-07T08:02:03.3855893Z parm: NVreg_VMallocHeapMaxSize:int 2025-09-07T08:02:03.3856315Z parm: NVreg_IgnoreMMIOCheck:int 2025-09-07T08:02:03.3856627Z parm: NVreg_NvLinkDisable:int 2025-09-07T08:02:03.3856975Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-09-07T08:02:03.3857341Z parm: NVreg_RegisterPCIDriver:int 2025-09-07T08:02:03.3857671Z parm: NVreg_EnableResizableBar:int 2025-09-07T08:02:03.3858005Z parm: NVreg_EnableDbgBreakpoint:int 2025-09-07T08:02:03.3858344Z parm: NVreg_EnableNonblockingOpen:int 2025-09-07T08:02:03.3858681Z parm: NVreg_RegistryDwords:charp 2025-09-07T08:02:03.3859026Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-09-07T08:02:03.3859359Z parm: NVreg_RmMsg:charp 2025-09-07T08:02:03.3859654Z parm: NVreg_GpuBlacklist:charp 2025-09-07T08:02:03.3859982Z parm: NVreg_TemporaryFilePath:charp 2025-09-07T08:02:03.3860309Z parm: NVreg_ExcludedGpus:charp 2025-09-07T08:02:03.3860625Z parm: NVreg_DmaRemapPeerMmio:int 2025-09-07T08:02:03.3860954Z parm: NVreg_RmNvlinkBandwidth:charp 2025-09-07T08:02:03.3861315Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-09-07T08:02:03.3861668Z parm: NVreg_ImexChannelCount:int 2025-09-07T08:02:03.3861998Z parm: NVreg_CreateImexChannel0:int 2025-09-07T08:02:03.3862346Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-09-07T08:02:03.3862703Z parm: rm_firmware_active:charp 2025-09-07T08:02:03.3862996Z + HAS_NVIDIA_DRIVER=0 2025-09-07T08:02:03.3863246Z ++ command -v nvidia-smi 2025-09-07T08:02:03.3863503Z + '[' -x /usr/bin/nvidia-smi ']' 2025-09-07T08:02:03.3863768Z + set +e 2025-09-07T08:02:03.3864080Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0 2025-09-07T08:02:05.2412888Z + INSTALLED_DRIVER_VERSION=570.133.07 2025-09-07T08:02:05.2413237Z + NVIDIA_SMI_STATUS=0 2025-09-07T08:02:05.2413481Z + '[' 0 -ne 0 ']' 2025-09-07T08:02:05.2413712Z + '[' 570.133.07 '!=' 570.133.07 ']' 2025-09-07T08:02:05.2413975Z + HAS_NVIDIA_DRIVER=1 2025-09-07T08:02:05.2414417Z + echo 'NVIDIA driver (570.133.07) has already been installed. Skipping NVIDIA driver installation' 2025-09-07T08:02:05.2414877Z + set -e 2025-09-07T08:02:05.2415067Z + '[' 1 -eq 0 ']' 2025-09-07T08:02:05.2415461Z NVIDIA driver (570.133.07) has already been installed. Skipping NVIDIA driver installation 2025-09-07T08:02:05.2417270Z + post_install_nvidia_driver_common 2025-09-07T08:02:05.2421137Z + sudo modprobe nvidia 2025-09-07T08:02:05.4026197Z + echo 'After installing NVIDIA driver' 2025-09-07T08:02:05.4026543Z + lspci 2025-09-07T08:02:05.4026758Z After installing NVIDIA driver 2025-09-07T08:02:05.4158474Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-09-07T08:02:05.4159508Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-09-07T08:02:05.4160605Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-09-07T08:02:05.4161636Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-09-07T08:02:05.4162591Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-09-07T08:02:05.4163616Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-09-07T08:02:05.4164720Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-09-07T08:02:05.4165657Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-09-07T08:02:05.4166133Z + lsmod 2025-09-07T08:02:05.4197688Z Module Size Used by 2025-09-07T08:02:05.4197978Z nvidia_uvm 1884160 0 2025-09-07T08:02:05.4198246Z nvidia 11583488 1 nvidia_uvm 2025-09-07T08:02:05.4198569Z drm 602112 1 nvidia 2025-09-07T08:02:05.4198881Z drm_panel_orientation_quirks 32768 1 drm 2025-09-07T08:02:05.4199189Z backlight 24576 1 drm 2025-09-07T08:02:05.4199472Z i2c_core 110592 2 nvidia,drm 2025-09-07T08:02:05.4199751Z xt_conntrack 16384 1 2025-09-07T08:02:05.4200008Z nft_chain_nat 16384 3 2025-09-07T08:02:05.4200503Z xt_MASQUERADE 20480 1 2025-09-07T08:02:05.4200798Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-09-07T08:02:05.4201119Z nf_conntrack_netlink 57344 0 2025-09-07T08:02:05.4201509Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-09-07T08:02:05.4201940Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-09-07T08:02:05.4202249Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-09-07T08:02:05.4202529Z xfrm_user 57344 1 2025-09-07T08:02:05.4202794Z xfrm_algo 16384 1 xfrm_user 2025-09-07T08:02:05.4203077Z xt_addrtype 16384 2 2025-09-07T08:02:05.4203333Z nft_compat 20480 4 2025-09-07T08:02:05.4203632Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-09-07T08:02:05.4216035Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-09-07T08:02:05.4216448Z br_netfilter 36864 0 2025-09-07T08:02:05.4216732Z bridge 323584 1 br_netfilter 2025-09-07T08:02:05.4217020Z stp 16384 1 bridge 2025-09-07T08:02:05.4217304Z llc 16384 2 bridge,stp 2025-09-07T08:02:05.4217587Z overlay 167936 0 2025-09-07T08:02:05.4217820Z tls 139264 0 2025-09-07T08:02:05.4218051Z nls_ascii 16384 1 2025-09-07T08:02:05.4218283Z nls_cp437 20480 1 2025-09-07T08:02:05.4218776Z vfat 24576 1 2025-09-07T08:02:05.4219002Z fat 86016 1 vfat 2025-09-07T08:02:05.4219247Z sunrpc 700416 1 2025-09-07T08:02:05.4219472Z i8042 45056 0 2025-09-07T08:02:05.4219712Z serio 28672 3 i8042 2025-09-07T08:02:05.4220163Z ghash_clmulni_intel 16384 0 2025-09-07T08:02:05.4220404Z ena 180224 0 2025-09-07T08:02:05.4220625Z button 24576 0 2025-09-07T08:02:05.4220862Z sch_fq_codel 20480 17 2025-09-07T08:02:05.4221104Z fuse 184320 1 2025-09-07T08:02:05.4221337Z dm_mod 188416 0 2025-09-07T08:02:05.4221572Z loop 36864 0 2025-09-07T08:02:05.4221802Z configfs 57344 1 2025-09-07T08:02:05.4222034Z dmi_sysfs 20480 0 2025-09-07T08:02:05.4222275Z crc32_pclmul 16384 0 2025-09-07T08:02:05.4222516Z crc32c_intel 24576 0 2025-09-07T08:02:05.4222755Z efivarfs 24576 1 2025-09-07T08:02:05.4223009Z + modinfo nvidia 2025-09-07T08:02:05.4223380Z filename: /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-09-07T08:02:05.4223815Z import_ns: DMA_BUF 2025-09-07T08:02:05.4224057Z alias: char-major-195-* 2025-09-07T08:02:05.4224321Z version: 570.133.07 2025-09-07T08:02:05.4224551Z supported: external 2025-09-07T08:02:05.4224794Z license: Dual MIT/GPL 2025-09-07T08:02:05.4225074Z firmware: nvidia/570.133.07/gsp_tu10x.bin 2025-09-07T08:02:05.4225401Z firmware: nvidia/570.133.07/gsp_ga10x.bin 2025-09-07T08:02:05.4225704Z srcversion: 49515739FD8F721A3F2F714 2025-09-07T08:02:05.4226010Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-09-07T08:02:05.4226336Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-09-07T08:02:05.4226658Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-09-07T08:02:05.4226950Z depends: i2c-core,drm 2025-09-07T08:02:05.4227191Z retpoline: Y 2025-09-07T08:02:05.4227399Z name: nvidia 2025-09-07T08:02:05.4227749Z vermagic: 6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-09-07T08:02:05.4228201Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-09-07T08:02:05.4228645Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-09-07T08:02:05.4229052Z parm: NVreg_ResmanDebugLevel:int 2025-09-07T08:02:05.4229354Z parm: NVreg_RmLogonRC:int 2025-09-07T08:02:05.4229642Z parm: NVreg_ModifyDeviceFiles:int 2025-09-07T08:02:05.4230080Z parm: NVreg_DeviceFileUID:int 2025-09-07T08:02:05.4230372Z parm: NVreg_DeviceFileGID:int 2025-09-07T08:02:05.4230667Z parm: NVreg_DeviceFileMode:int 2025-09-07T08:02:05.4231011Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-09-07T08:02:05.4231390Z parm: NVreg_UsePageAttributeTable:int 2025-09-07T08:02:05.4231714Z parm: NVreg_EnablePCIeGen3:int 2025-09-07T08:02:05.4232009Z parm: NVreg_EnableMSI:int 2025-09-07T08:02:05.4232300Z parm: NVreg_EnableStreamMemOPs:int 2025-09-07T08:02:05.4232652Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-09-07T08:02:05.4233039Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-09-07T08:02:05.4233416Z parm: NVreg_EnableS0ixPowerManagement:int 2025-09-07T08:02:05.4233819Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-09-07T08:02:05.4234207Z parm: NVreg_DynamicPowerManagement:int 2025-09-07T08:02:05.4234615Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-09-07T08:02:05.4235009Z parm: NVreg_EnableGpuFirmware:int 2025-09-07T08:02:05.4235333Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-09-07T08:02:05.4235682Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-09-07T08:02:05.4236039Z parm: NVreg_EnableUserNUMAManagement:int 2025-09-07T08:02:05.4236366Z parm: NVreg_MemoryPoolSize:int 2025-09-07T08:02:05.4236681Z parm: NVreg_KMallocHeapMaxSize:int 2025-09-07T08:02:05.4236993Z parm: NVreg_VMallocHeapMaxSize:int 2025-09-07T08:02:05.4237311Z parm: NVreg_IgnoreMMIOCheck:int 2025-09-07T08:02:05.4237610Z parm: NVreg_NvLinkDisable:int 2025-09-07T08:02:05.4238039Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-09-07T08:02:05.4238386Z parm: NVreg_RegisterPCIDriver:int 2025-09-07T08:02:05.4238700Z parm: NVreg_EnableResizableBar:int 2025-09-07T08:02:05.4239022Z parm: NVreg_EnableDbgBreakpoint:int 2025-09-07T08:02:05.4239362Z parm: NVreg_EnableNonblockingOpen:int 2025-09-07T08:02:05.4239678Z parm: NVreg_RegistryDwords:charp 2025-09-07T08:02:05.4240010Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-09-07T08:02:05.4240328Z parm: NVreg_RmMsg:charp 2025-09-07T08:02:05.4240603Z parm: NVreg_GpuBlacklist:charp 2025-09-07T08:02:05.4240913Z parm: NVreg_TemporaryFilePath:charp 2025-09-07T08:02:05.4241218Z parm: NVreg_ExcludedGpus:charp 2025-09-07T08:02:05.4241518Z parm: NVreg_DmaRemapPeerMmio:int 2025-09-07T08:02:05.4241831Z parm: NVreg_RmNvlinkBandwidth:charp 2025-09-07T08:02:05.4242177Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-09-07T08:02:05.4242512Z parm: NVreg_ImexChannelCount:int 2025-09-07T08:02:05.4242828Z parm: NVreg_CreateImexChannel0:int 2025-09-07T08:02:05.4243169Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-09-07T08:02:05.4243503Z parm: rm_firmware_active:charp 2025-09-07T08:02:05.4243768Z + set +e 2025-09-07T08:02:05.4243950Z + nvidia-smi 2025-09-07T08:02:06.8233192Z Sun Sep 7 08:02:06 2025 2025-09-07T08:02:06.8233617Z +-----------------------------------------------------------------------------------------+ 2025-09-07T08:02:06.8234201Z | NVIDIA-SMI 570.133.07 Driver Version: 570.133.07 CUDA Version: 12.8 | 2025-09-07T08:02:06.8234688Z |-----------------------------------------+------------------------+----------------------+ 2025-09-07T08:02:06.8235187Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-09-07T08:02:06.8235738Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-09-07T08:02:06.8236177Z | | | MIG M. | 2025-09-07T08:02:06.8236520Z |=========================================+========================+======================| 2025-09-07T08:02:06.8300034Z | 0 NVIDIA A10G Off | 00000000:00:1E.0 Off | 0 | 2025-09-07T08:02:06.8300489Z | 0% 28C P0 61W / 300W | 0MiB / 23028MiB | 4% Default | 2025-09-07T08:02:06.8300873Z | | | N/A | 2025-09-07T08:02:06.8301275Z +-----------------------------------------+------------------------+----------------------+ 2025-09-07T08:02:06.8301679Z 2025-09-07T08:02:06.8302078Z +-----------------------------------------------------------------------------------------+ 2025-09-07T08:02:06.8302524Z | Processes: | 2025-09-07T08:02:06.8302962Z | GPU GI CI PID Type Process name GPU Memory | 2025-09-07T08:02:06.8303378Z | ID ID Usage | 2025-09-07T08:02:06.8303733Z |=========================================================================================| 2025-09-07T08:02:06.8304793Z | No running processes found | 2025-09-07T08:02:06.8305267Z +-----------------------------------------------------------------------------------------+ 2025-09-07T08:02:07.2443359Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 2025-09-07T08:02:08.6478769Z NVIDIA A10G 2025-09-07T08:02:08.9115473Z + NVIDIA_SMI_STATUS=0 2025-09-07T08:02:08.9115974Z + '[' 0 -eq 0 ']' 2025-09-07T08:02:08.9116243Z + echo 'INFO: Ignoring allowed status 0' 2025-09-07T08:02:08.9116529Z + set -e 2025-09-07T08:02:08.9117031Z INFO: Ignoring allowed status 0 2025-09-07T08:02:08.9125267Z == Installing nvidia container toolkit for amzn2023 == 2025-09-07T08:02:08.9129167Z + sudo yum install -y yum-utils 2025-09-07T08:02:09.4215255Z Last metadata expiration check: 0:20:04 ago on Sun Sep 7 07:42:05 2025. 2025-09-07T08:02:09.4460191Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed. 2025-09-07T08:02:09.4936819Z Dependencies resolved. 2025-09-07T08:02:09.5161854Z Nothing to do. 2025-09-07T08:02:09.5162105Z Complete! 2025-09-07T08:02:09.6046939Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]] 2025-09-07T08:02:09.6047722Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-09-07T08:02:09.6048781Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-09-07T08:02:10.0086239Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-09-07T08:02:10.0588963Z + 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 2025-09-07T08:02:10.6264055Z nvidia-container-toolkit 19 kB/s | 833 B 00:00 2025-09-07T08:02:10.6505612Z Package nvidia-container-toolkit-1.17.8-1.x86_64 is already installed. 2025-09-07T08:02:10.6511760Z Package libnvidia-container-tools-1.17.8-1.x86_64 is already installed. 2025-09-07T08:02:10.6515800Z Package libnvidia-container1-1.17.8-1.x86_64 is already installed. 2025-09-07T08:02:10.6522863Z Package nvidia-container-toolkit-base-1.17.8-1.x86_64 is already installed. 2025-09-07T08:02:10.7000255Z Dependencies resolved. 2025-09-07T08:02:10.7223866Z Nothing to do. 2025-09-07T08:02:10.7224196Z Complete! 2025-09-07T08:02:10.8163339Z + sudo systemctl restart docker 2025-09-07T08:02:52.5202995Z Sun Sep 7 08:02:52 2025 2025-09-07T08:02:52.5203557Z +-----------------------------------------------------------------------------------------+ 2025-09-07T08:02:52.5204079Z | NVIDIA-SMI 570.133.07 Driver Version: 570.133.07 CUDA Version: 12.8 | 2025-09-07T08:02:52.5204646Z |-----------------------------------------+------------------------+----------------------+ 2025-09-07T08:02:52.5205588Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-09-07T08:02:52.5206102Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-09-07T08:02:52.5206526Z | | | MIG M. | 2025-09-07T08:02:52.5206862Z |=========================================+========================+======================| 2025-09-07T08:02:52.5286498Z | 0 NVIDIA A10G On | 00000000:00:1E.0 Off | 0 | 2025-09-07T08:02:52.5287080Z | 0% 29C P0 61W / 300W | 0MiB / 23028MiB | 4% Default | 2025-09-07T08:02:52.5287530Z | | | N/A | 2025-09-07T08:02:52.5288024Z +-----------------------------------------+------------------------+----------------------+ 2025-09-07T08:02:52.5288554Z 2025-09-07T08:02:52.5289033Z +-----------------------------------------------------------------------------------------+ 2025-09-07T08:02:52.5289457Z | Processes: | 2025-09-07T08:02:52.5289878Z | GPU GI CI PID Type Process name GPU Memory | 2025-09-07T08:02:52.5290279Z | ID ID Usage | 2025-09-07T08:02:52.5290623Z |=========================================================================================| 2025-09-07T08:02:52.5291923Z | No running processes found | 2025-09-07T08:02:52.5292526Z +-----------------------------------------------------------------------------------------+ 2025-09-07T08:02:52.7075891Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally 2025-09-07T08:02:52.8953815Z 3.13: Pulling from docker/library/python 2025-09-07T08:02:52.9903971Z 80b7316254b3: Pulling fs layer 2025-09-07T08:02:52.9904378Z 36e4db86de6e: Pulling fs layer 2025-09-07T08:02:52.9904742Z 8ea45766c644: Pulling fs layer 2025-09-07T08:02:52.9905080Z 3cb1455cf185: Pulling fs layer 2025-09-07T08:02:52.9905429Z d622b1dca92a: Pulling fs layer 2025-09-07T08:02:52.9905739Z ad72fce423fc: Pulling fs layer 2025-09-07T08:02:52.9905997Z b9f8f98927f6: Pulling fs layer 2025-09-07T08:02:52.9906271Z ad72fce423fc: Waiting 2025-09-07T08:02:52.9906560Z b9f8f98927f6: Waiting 2025-09-07T08:02:52.9906847Z d622b1dca92a: Waiting 2025-09-07T08:02:52.9907156Z 3cb1455cf185: Waiting 2025-09-07T08:02:53.1107060Z 36e4db86de6e: Verifying Checksum 2025-09-07T08:02:53.1107417Z 36e4db86de6e: Download complete 2025-09-07T08:02:53.1638877Z 80b7316254b3: Download complete 2025-09-07T08:02:53.2038592Z 8ea45766c644: Verifying Checksum 2025-09-07T08:02:53.2039011Z 8ea45766c644: Download complete 2025-09-07T08:02:53.2445743Z d622b1dca92a: Verifying Checksum 2025-09-07T08:02:53.2446210Z d622b1dca92a: Download complete 2025-09-07T08:02:53.3005663Z b9f8f98927f6: Verifying Checksum 2025-09-07T08:02:53.3006103Z b9f8f98927f6: Download complete 2025-09-07T08:02:53.3348486Z ad72fce423fc: Verifying Checksum 2025-09-07T08:02:53.3348899Z ad72fce423fc: Download complete 2025-09-07T08:02:53.7670212Z 3cb1455cf185: Verifying Checksum 2025-09-07T08:02:53.7670561Z 3cb1455cf185: Download complete 2025-09-07T08:02:54.8745791Z 80b7316254b3: Pull complete 2025-09-07T08:02:55.6002511Z 36e4db86de6e: Pull complete 2025-09-07T08:02:58.0400625Z 8ea45766c644: Pull complete 2025-09-07T08:03:04.5786146Z 3cb1455cf185: Pull complete 2025-09-07T08:03:04.8678785Z d622b1dca92a: Pull complete 2025-09-07T08:03:05.6125606Z ad72fce423fc: Pull complete 2025-09-07T08:03:05.6351721Z b9f8f98927f6: Pull complete 2025-09-07T08:03:05.6489690Z Digest: sha256:18634e45b29c0dd1a9a3a3d0781f9f8a221fe32ee7a853db01e9120c710ef535 2025-09-07T08:03:05.6532236Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13 2025-09-07T08:03:13.7087935Z Sun Sep 7 08:03:13 2025 2025-09-07T08:03:13.7088361Z +-----------------------------------------------------------------------------------------+ 2025-09-07T08:03:13.7088868Z | NVIDIA-SMI 570.133.07 Driver Version: 570.133.07 CUDA Version: 12.8 | 2025-09-07T08:03:13.7089345Z |-----------------------------------------+------------------------+----------------------+ 2025-09-07T08:03:13.7089837Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-09-07T08:03:13.7090435Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-09-07T08:03:13.7093538Z | | | MIG M. | 2025-09-07T08:03:13.7093935Z |=========================================+========================+======================| 2025-09-07T08:03:13.7235220Z | 0 NVIDIA A10G On | 00000000:00:1E.0 Off | 0 | 2025-09-07T08:03:13.7235712Z | 0% 26C P8 9W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-07T08:03:13.7236106Z | | | N/A | 2025-09-07T08:03:13.7236513Z +-----------------------------------------+------------------------+----------------------+ 2025-09-07T08:03:13.7239407Z 2025-09-07T08:03:13.7239858Z +-----------------------------------------------------------------------------------------+ 2025-09-07T08:03:13.7240596Z | Processes: | 2025-09-07T08:03:13.7241058Z | GPU GI CI PID Type Process name GPU Memory | 2025-09-07T08:03:13.7241477Z | ID ID Usage | 2025-09-07T08:03:13.7241834Z |=========================================================================================| 2025-09-07T08:03:13.7245403Z | No running processes found | 2025-09-07T08:03:13.7245887Z +-----------------------------------------------------------------------------------------+ 2025-09-07T08:03:14.8092364Z Command completed after 1 attempt(s). 2025-09-07T08:03:14.8193210Z Prepare all required actions 2025-09-07T08:03:14.8240552Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T08:03:14.8240859Z with: 2025-09-07T08:03:14.8241437Z github-token: *** 2025-09-07T08:03:14.8241646Z env: 2025-09-07T08:03:14.8241832Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:14.8242138Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:14.8242459Z ##[endgroup] 2025-09-07T08:03:14.8264157Z ##[group]Run set -eux 2025-09-07T08:03:14.8264408Z set -eux 2025-09-07T08:03:14.8264829Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T08:03:14.8279874Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:03:14.8280225Z env: 2025-09-07T08:03:14.8280439Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:14.8280760Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:14.8281230Z GITHUB_TOKEN: *** 2025-09-07T08:03:14.8281453Z ##[endgroup] 2025-09-07T08:03:14.8324205Z + python3 .github/scripts/get_workflow_job_id.py 17524754606 i-01adaa3a40ced2b96 2025-09-07T08:03:15.8615002Z Setting output job-id=49775796136 2025-09-07T08:03:15.8615528Z Setting output job-name=inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-09-07T08:03:15.8736909Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:03:15.8737591Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:03:15.8738638Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T08:03:15.8739397Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T08:03:15.8750419Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:03:15.8750756Z env: 2025-09-07T08:03:15.8750951Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:15.8751260Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:15.8751573Z JOB_ID: 49775796136 2025-09-07T08:03:15.8751966Z JOB_NAME: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-09-07T08:03:15.8752411Z WORKFLOW_NAME: inductor 2025-09-07T08:03:15.8752689Z WORKFLOW_RUN_ID: 17524754606 2025-09-07T08:03:15.8752934Z MONITOR_LOG_INTERVAL: 5 2025-09-07T08:03:15.8753186Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-09-07T08:03:15.8753449Z ##[endgroup] 2025-09-07T08:03:16.3300977Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:03:16.7230298Z Collecting psutil==5.9.8 2025-09-07T08:03:16.7385990Z 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) 2025-09-07T08:03:16.8156372Z Collecting dataclasses_json==0.6.7 2025-09-07T08:03:16.8184481Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T08:03:16.8457171Z Collecting nvidia-ml-py==11.525.84 2025-09-07T08:03:16.8484639Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T08:03:16.9779340Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T08:03:16.9807317Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T08:03:17.0042265Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T08:03:17.0069371Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T08:03:17.0633681Z Collecting packaging>=17.0 2025-09-07T08:03:17.0662758Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T08:03:17.1209341Z Collecting typing-extensions>=3.7.4 2025-09-07T08:03:17.1237785Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T08:03:17.1433011Z Collecting mypy-extensions>=0.3.0 2025-09-07T08:03:17.1466460Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T08:03:17.2364996Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-09-07T08:03:17.5117936Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-09-07T08:03:17.7115831Z Prepare all required actions 2025-09-07T08:03:17.7116304Z Getting action download info 2025-09-07T08:03:17.8679950Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T08:03:18.1025702Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T08:03:18.4423550Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T08:03:18.4423872Z with: 2025-09-07T08:03:18.4424110Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm86 2025-09-07T08:03:18.4424418Z s3-bucket: gha-artifacts 2025-09-07T08:03:18.4424640Z env: 2025-09-07T08:03:18.4424948Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:18.4425279Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:18.4425598Z ##[endgroup] 2025-09-07T08:03:18.4458208Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:03:18.4458510Z with: 2025-09-07T08:03:18.4458784Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm86 2025-09-07T08:03:18.4459091Z s3-bucket: gha-artifacts 2025-09-07T08:03:18.4459332Z region: us-east-1 2025-09-07T08:03:18.4459533Z env: 2025-09-07T08:03:18.4459769Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:18.4460068Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:18.4460583Z ##[endgroup] 2025-09-07T08:03:18.9272041Z (node:63167) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:03:18.9272587Z 2025-09-07T08:03:18.9272767Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:03:18.9273255Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:03:18.9273754Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:03:19.1976032Z Found 1 objects with prefix pytorch/pytorch/17524754606/linux-jammy-cuda12.8-py3.10-gcc9-sm86/ 2025-09-07T08:03:19.1976746Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:03:27.6541980Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:03:27.6548924Z Artifact download has finished successfully 2025-09-07T08:03:27.6901997Z ##[group]Run unzip -o artifacts.zip 2025-09-07T08:03:27.6902323Z unzip -o artifacts.zip 2025-09-07T08:03:27.6912519Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:03:27.6912853Z env: 2025-09-07T08:03:27.6913060Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:27.6913367Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:27.6913680Z ##[endgroup] 2025-09-07T08:03:27.6988317Z Archive: artifacts.zip 2025-09-07T08:03:27.6990459Z creating: dist/ 2025-09-07T08:03:29.7328227Z inflating: dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T08:03:29.7328688Z creating: dist/vision/ 2025-09-07T08:03:29.7450952Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:03:29.7451500Z creating: dist/audio/ 2025-09-07T08:03:29.7509233Z inflating: dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T08:03:29.7509695Z creating: dist/torchrec/ 2025-09-07T08:03:29.7536246Z inflating: dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T08:03:29.7536718Z creating: dist/fbgemm_gpu/ 2025-09-07T08:03:30.6344796Z inflating: dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T08:03:30.6345715Z creating: dist/ao/ 2025-09-07T08:03:30.6387014Z inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T08:03:30.6521900Z inflating: dist/.ninja_log 2025-09-07T08:03:30.6522218Z creating: build/custom_test_artifacts/ 2025-09-07T08:03:30.6523283Z creating: build/custom_test_artifacts/custom-op-build/ 2025-09-07T08:03:30.6523789Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-09-07T08:03:30.6524687Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-09-07T08:03:30.6532784Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-09-07T08:03:30.6533395Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/ 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2025-09-07T08:03:39.1688067Z inflating: build/bin/cuda_packedtensoraccessor_test 2025-09-07T08:03:39.1745108Z inflating: build/bin/cuda_vectorized_test 2025-09-07T08:03:39.2872007Z inflating: build/bin/test_jit 2025-09-07T08:03:39.2928743Z inflating: build/bin/BackoffTest 2025-09-07T08:03:39.2985669Z inflating: build/bin/FileStoreTest 2025-09-07T08:03:39.3375408Z inflating: build/bin/test_nativert 2025-09-07T08:03:39.3436180Z inflating: build/bin/TCPStoreTest 2025-09-07T08:03:39.3493890Z inflating: build/bin/HashStoreTest 2025-09-07T08:03:39.3508617Z inflating: build/bin/ProcessGroupMPITest 2025-09-07T08:03:39.3512038Z inflating: build/bin/example_allreduce 2025-09-07T08:03:39.3572016Z inflating: build/bin/test_dist_autograd 2025-09-07T08:03:39.3642574Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T08:03:39.3704291Z inflating: build/bin/ProcessGroupGlooAsyncTest 2025-09-07T08:03:39.3773012Z inflating: build/bin/ProcessGroupNCCLTest 2025-09-07T08:03:39.3839686Z inflating: build/bin/ProcessGroupNCCLErrorsTest 2025-09-07T08:03:39.3913072Z inflating: build/bin/test_cpp_rpc 2025-09-07T08:03:39.5119988Z inflating: build/bin/test_api 2025-09-07T08:03:39.5122982Z inflating: build/bin/parallel_benchmark 2025-09-07T08:03:39.5482168Z inflating: build/bin/test_lazy 2025-09-07T08:03:39.5485926Z inflating: build/bin/torch_shm_manager 2025-09-07T08:03:39.5486255Z creating: .additional_ci_files/ 2025-09-07T08:03:39.5578719Z inflating: .additional_ci_files/test-times.json 2025-09-07T08:03:39.5923602Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T08:03:39.5967236Z ##[group]Run rm artifacts.zip 2025-09-07T08:03:39.5967535Z rm artifacts.zip 2025-09-07T08:03:39.5976610Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:03:39.5976973Z env: 2025-09-07T08:03:39.5977191Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:39.5977520Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:39.5977864Z ##[endgroup] 2025-09-07T08:03:39.7231239Z ##[group]Run df -H 2025-09-07T08:03:39.7231466Z df -H 2025-09-07T08:03:39.7240407Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:03:39.7240742Z env: 2025-09-07T08:03:39.7240958Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:39.7241272Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:39.7241597Z ##[endgroup] 2025-09-07T08:03:39.7310171Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T08:03:39.7310547Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-09-07T08:03:39.7311154Z tmpfs 34G 0 34G 0% /dev/shm 2025-09-07T08:03:39.7311467Z tmpfs 14G 553k 14G 1% /run 2025-09-07T08:03:39.7311771Z /dev/nvme0n1p1 161G 87G 75G 54% / 2025-09-07T08:03:39.7312075Z tmpfs 34G 13k 34G 1% /tmp 2025-09-07T08:03:39.7312389Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-09-07T08:03:39.7312723Z tmpfs 6.7G 0 6.7G 0% /run/user/0 2025-09-07T08:03:39.7350291Z Prepare all required actions 2025-09-07T08:03:39.7351350Z Getting action download info 2025-09-07T08:03:39.8796104Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T08:03:39.8796419Z with: 2025-09-07T08:03:39.8796596Z env: 2025-09-07T08:03:39.8796790Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:39.8797093Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:39.8797412Z ##[endgroup] 2025-09-07T08:03:39.8833729Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:03:39.8834037Z with: 2025-09-07T08:03:39.8834233Z name: td_results 2025-09-07T08:03:39.8834452Z s3-bucket: gha-artifacts 2025-09-07T08:03:39.8834692Z region: us-east-1 2025-09-07T08:03:39.8834892Z env: 2025-09-07T08:03:39.8835102Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:39.8835489Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:39.8847867Z ##[endgroup] 2025-09-07T08:03:40.3430398Z (node:63191) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:03:40.3430856Z 2025-09-07T08:03:40.3431047Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:03:40.3431535Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:03:40.3432045Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:03:40.4459378Z Found 0 objects with prefix pytorch/pytorch/17524754606/td_results/ 2025-09-07T08:03:40.4465580Z Artifact download has finished successfully 2025-09-07T08:03:40.4814566Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T08:03:40.4814911Z mkdir -p .additional_ci_files 2025-09-07T08:03:40.4815303Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T08:03:40.4825470Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:03:40.4825802Z env: 2025-09-07T08:03:40.4825995Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:40.4826321Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:40.4826641Z ##[endgroup] 2025-09-07T08:03:40.4898985Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T08:03:40.4939723Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T08:03:40.4940071Z .github/scripts/parse_ref.py 2025-09-07T08:03:40.4949047Z shell: /usr/bin/bash -e {0} 2025-09-07T08:03:40.4949289Z env: 2025-09-07T08:03:40.4949478Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:40.4949781Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:40.4950104Z ##[endgroup] 2025-09-07T08:03:40.5190670Z Setting output branch=main 2025-09-07T08:03:40.5314142Z Prepare all required actions 2025-09-07T08:03:40.5314502Z Getting action download info 2025-09-07T08:03:40.6446790Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T08:03:40.6447103Z with: 2025-09-07T08:03:40.6447477Z github-token: *** 2025-09-07T08:03:40.6449055Z test-matrix: {"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]} 2025-09-07T08:03:40.6450877Z job-name: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-09-07T08:03:40.6451545Z env: 2025-09-07T08:03:40.6451879Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:40.6452425Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:40.6452834Z ##[endgroup] 2025-09-07T08:03:40.6506786Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T08:03:40.6507066Z with: 2025-09-07T08:03:40.6507263Z shell: bash 2025-09-07T08:03:40.6507471Z timeout_minutes: 10 2025-09-07T08:03:40.6507710Z max_attempts: 5 2025-09-07T08:03:40.6507933Z retry_wait_seconds: 30 2025-09-07T08:03:40.6508641Z 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 2025-09-07T08:03:40.6509373Z polling_interval_seconds: 1 2025-09-07T08:03:40.6509637Z warning_on_retry: true 2025-09-07T08:03:40.6509884Z continue_on_error: false 2025-09-07T08:03:40.6510122Z env: 2025-09-07T08:03:40.6510314Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:40.6510639Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:40.6511101Z GITHUB_TOKEN: *** 2025-09-07T08:03:40.6511312Z ##[endgroup] 2025-09-07T08:03:40.7551669Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T08:03:40.9903173Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:03:41.1101735Z Collecting requests==2.27.1 2025-09-07T08:03:41.1253282Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T08:03:41.2954932Z Collecting pyyaml==6.0.2 2025-09-07T08:03:41.2988532Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-09-07T08:03:41.7142428Z Collecting charset-normalizer~=2.0.0 2025-09-07T08:03:41.7174490Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T08:03:41.7221671Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-09-07T08:03:41.7231256Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-09-07T08:03:41.7719790Z Collecting certifi>=2017.4.17 2025-09-07T08:03:41.7749944Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-09-07T08:03:41.8646764Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-09-07T08:03:41.9859686Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T08:03:42.7294571Z Command completed after 1 attempt(s). 2025-09-07T08:03:42.7373839Z ##[group]Run set -x 2025-09-07T08:03:42.7374103Z set -x 2025-09-07T08:03:42.7374302Z  2025-09-07T08:03:42.7374685Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:03:42.7375119Z # in runner workspace 2025-09-07T08:03:42.7375474Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T08:03:42.7384632Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:03:42.7384986Z env: 2025-09-07T08:03:42.7385391Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:42.7385706Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:42.7386028Z ##[endgroup] 2025-09-07T08:03:42.7417200Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T08:03:42.7599521Z Setting output branch=main 2025-09-07T08:03:42.7662638Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:03:42.7663003Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:03:42.7663316Z echo "Job name: ${JOB_NAME}" 2025-09-07T08:03:42.7663580Z  2025-09-07T08:03:42.7663919Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:03:42.7664341Z # in runner workspace 2025-09-07T08:03:42.7664726Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T08:03:42.7665345Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T08:03:42.7665648Z  --job-name "${JOB_NAME}" \ 2025-09-07T08:03:42.7667312Z  --test-matrix "{"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}" \ 2025-09-07T08:03:42.7669139Z  --selected-test-configs "" \ 2025-09-07T08:03:42.7669509Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T08:03:42.7669795Z  --tag "${TAG}" \ 2025-09-07T08:03:42.7670093Z  --event-name "${EVENT_NAME}" \ 2025-09-07T08:03:42.7670397Z  --schedule "${SCHEDULE}" \ 2025-09-07T08:03:42.7670677Z  --branch "${HEAD_BRANCH}" 2025-09-07T08:03:42.7679803Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:03:42.7680148Z env: 2025-09-07T08:03:42.7680354Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:42.7680665Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:42.7681333Z GITHUB_TOKEN: *** 2025-09-07T08:03:42.7681723Z JOB_NAME: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-09-07T08:03:42.7682198Z PR_NUMBER: 2025-09-07T08:03:42.7682389Z TAG: 2025-09-07T08:03:42.7682564Z EVENT_NAME: push 2025-09-07T08:03:42.7682769Z SCHEDULE: 2025-09-07T08:03:42.7682965Z HEAD_BRANCH: main 2025-09-07T08:03:42.7683168Z ##[endgroup] 2025-09-07T08:03:42.7714241Z Workflow: inductor 2025-09-07T08:03:42.7714728Z Job name: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-09-07T08:03:42.9959798Z Setting output keep-going=True 2025-09-07T08:03:42.9960188Z Setting output ci-verbose-test-logs=False 2025-09-07T08:03:42.9960522Z Setting output ci-test-showlocals=False 2025-09-07T08:03:42.9960840Z Setting output ci-no-test-timeout=False 2025-09-07T08:03:42.9961142Z Setting output ci-no-td=False 2025-09-07T08:03:42.9961420Z Setting output ci-td-distributed=False 2025-09-07T08:03:42.9961717Z Setting output is-unstable=False 2025-09-07T08:03:42.9961997Z Setting output reenabled-issues= 2025-09-07T08:03:42.9963712Z Setting output test-matrix={"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]} 2025-09-07T08:03:42.9965794Z Setting output is-test-matrix-empty=False 2025-09-07T08:03:43.0093835Z ##[group]Run echo "Filtered matrix:" 2025-09-07T08:03:43.0094242Z echo "Filtered matrix:" 2025-09-07T08:03:43.0096060Z echo "{"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}" 2025-09-07T08:03:43.0097779Z  2025-09-07T08:03:43.0098037Z echo 2025-09-07T08:03:43.0109683Z echo "Is the current job unstable? False" 2025-09-07T08:03:43.0110010Z  2025-09-07T08:03:43.0110417Z echo 2025-09-07T08:03:43.0110655Z echo "Is keep-going label set? True" 2025-09-07T08:03:43.0110945Z  2025-09-07T08:03:43.0111133Z echo 2025-09-07T08:03:43.0111353Z echo "Reenabled issues? " 2025-09-07T08:03:43.0120840Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:03:43.0121181Z env: 2025-09-07T08:03:43.0121380Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:43.0121691Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:43.0122019Z ##[endgroup] 2025-09-07T08:03:43.0152386Z Filtered matrix: 2025-09-07T08:03:43.0154353Z {include: [{config: inductor_huggingface, shard: 1, num_shards: 1, runner: linux.g5.4xlarge.nvidia.gpu}, {config: inductor_timm, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: inductor_timm, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: inductor_torchbench, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: inductor_torchbench, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}]} 2025-09-07T08:03:43.0156081Z 2025-09-07T08:03:43.0156195Z Is the current job unstable? False 2025-09-07T08:03:43.0156389Z 2025-09-07T08:03:43.0156498Z Is keep-going label set? True 2025-09-07T08:03:43.0156672Z 2025-09-07T08:03:43.0156768Z Reenabled issues? 2025-09-07T08:03:43.0202931Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:03:43.0203416Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:03:43.0211862Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:03:43.0212200Z env: 2025-09-07T08:03:43.0212401Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:43.0212712Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:43.0213040Z JOB_TIMEOUT: 240 2025-09-07T08:03:43.0213244Z ##[endgroup] 2025-09-07T08:03:43.0299408Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:03:43.0299882Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:03:43.0300295Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:03:43.0308498Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:03:43.0308831Z env: 2025-09-07T08:03:43.0309021Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:43.0309320Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:43.0309626Z ##[endgroup] 2025-09-07T08:03:43.0428576Z ##[group]Run set -x 2025-09-07T08:03:43.0428879Z set -x 2025-09-07T08:03:43.0429077Z  2025-09-07T08:03:43.0429299Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T08:03:43.0429655Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T08:03:43.0430013Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T08:03:43.0430341Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T08:03:43.0430604Z else 2025-09-07T08:03:43.0430831Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:03:43.0431113Z fi 2025-09-07T08:03:43.0431293Z  2025-09-07T08:03:43.0431525Z # Leaving 1GB for the runner and other things 2025-09-07T08:03:43.0432042Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T08:03:43.0432819Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T08:03:43.0433456Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T08:03:43.0433929Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T08:03:43.0434298Z  2025-09-07T08:03:43.0434540Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:03:43.0434846Z  SHM_OPTS= 2025-09-07T08:03:43.0435061Z  JENKINS_USER= 2025-09-07T08:03:43.0435376Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T08:03:43.0435974Z  # if for some reason cleanup action doesn't stop container 2025-09-07T08:03:43.0436328Z  # when job is cancelled 2025-09-07T08:03:43.0436607Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T08:03:43.0436864Z else 2025-09-07T08:03:43.0437090Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T08:03:43.0437393Z  JENKINS_USER="--user jenkins" 2025-09-07T08:03:43.0437675Z  DOCKER_SHELL_CMD= 2025-09-07T08:03:43.0437898Z fi 2025-09-07T08:03:43.0438080Z  2025-09-07T08:03:43.0438383Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T08:03:43.0438860Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T08:03:43.0439394Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T08:03:43.0439869Z # shellcheck disable=SC2086,SC2090 2025-09-07T08:03:43.0440171Z container_name=$(docker run \ 2025-09-07T08:03:43.0440454Z  ${GPU_FLAG:-} \ 2025-09-07T08:03:43.0440727Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T08:03:43.0441034Z  -e BUILD_ENVIRONMENT \ 2025-09-07T08:03:43.0441300Z  -e PR_NUMBER \ 2025-09-07T08:03:43.0441545Z  -e GITHUB_ACTIONS \ 2025-09-07T08:03:43.0441806Z  -e GITHUB_REPOSITORY \ 2025-09-07T08:03:43.0442069Z  -e GITHUB_WORKFLOW \ 2025-09-07T08:03:43.0442325Z  -e GITHUB_JOB \ 2025-09-07T08:03:43.0442569Z  -e GITHUB_RUN_ID \ 2025-09-07T08:03:43.0442824Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T08:03:43.0443084Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T08:03:43.0443343Z  -e JOB_ID \ 2025-09-07T08:03:43.0443572Z  -e JOB_NAME \ 2025-09-07T08:03:43.0443806Z  -e BASE_SHA \ 2025-09-07T08:03:43.0444029Z  -e BRANCH \ 2025-09-07T08:03:43.0444252Z  -e SHA1 \ 2025-09-07T08:03:43.0444603Z  -e AWS_DEFAULT_REGION \ 2025-09-07T08:03:43.0444868Z  -e IN_WHEEL_TEST \ 2025-09-07T08:03:43.0445112Z  -e SHARD_NUMBER \ 2025-09-07T08:03:43.0445357Z  -e TEST_CONFIG \ 2025-09-07T08:03:43.0445608Z  -e NUM_TEST_SHARDS \ 2025-09-07T08:03:43.0445874Z  -e REENABLED_ISSUES \ 2025-09-07T08:03:43.0446141Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T08:03:43.0446546Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T08:03:43.0446819Z  -e TEST_SHOWLOCALS \ 2025-09-07T08:03:43.0447086Z  -e NO_TEST_TIMEOUT \ 2025-09-07T08:03:43.0447327Z  -e NO_TD \ 2025-09-07T08:03:43.0447558Z  -e TD_DISTRIBUTED \ 2025-09-07T08:03:43.0447809Z  -e PR_LABELS \ 2025-09-07T08:03:43.0448076Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T08:03:43.0448370Z  -e SCCACHE_BUCKET \ 2025-09-07T08:03:43.0448624Z  -e SCCACHE_REGION \ 2025-09-07T08:03:43.0448874Z  -e XLA_CUDA \ 2025-09-07T08:03:43.0449139Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T08:03:43.0449462Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T08:03:43.0449788Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T08:03:43.0450122Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T08:03:43.0450430Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T08:03:43.0450739Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T08:03:43.0451040Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T08:03:43.0451332Z  -e DASHBOARD_TAG \ 2025-09-07T08:03:43.0451594Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T08:03:43.0451923Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T08:03:43.0452296Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T08:03:43.0452670Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T08:03:43.0453026Z  --security-opt seccomp=unconfined \ 2025-09-07T08:03:43.0453422Z  --cap-add=SYS_PTRACE \ 2025-09-07T08:03:43.0453686Z  --ipc=host \ 2025-09-07T08:03:43.0453910Z  ${SHM_OPTS} \ 2025-09-07T08:03:43.0454136Z  --tty \ 2025-09-07T08:03:43.0454349Z  --detach \ 2025-09-07T08:03:43.0454615Z  --name="${container_name}" \ 2025-09-07T08:03:43.0454916Z  ${JENKINS_USER} \ 2025-09-07T08:03:43.0455238Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T08:03:43.0455604Z  -w /var/lib/jenkins/workspace \ 2025-09-07T08:03:43.0455901Z  "${DOCKER_IMAGE}" \ 2025-09-07T08:03:43.0456153Z  ${DOCKER_SHELL_CMD} 2025-09-07T08:03:43.0456393Z ) 2025-09-07T08:03:43.0456662Z # Propagate download.pytorch.org IP to container 2025-09-07T08:03:43.0457265Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T08:03:43.0457919Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T08:03:43.0458280Z  2025-09-07T08:03:43.0458520Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:03:43.0459047Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T08:03:43.0459506Z fi 2025-09-07T08:03:43.0459683Z  2025-09-07T08:03:43.0460124Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T08:03:43.0468644Z shell: /usr/bin/bash -e {0} 2025-09-07T08:03:43.0468881Z env: 2025-09-07T08:03:43.0469065Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:03:43.0469369Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:03:43.0469779Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm86 2025-09-07T08:03:43.0470113Z PR_NUMBER: 2025-09-07T08:03:43.0470331Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T08:03:43.0470607Z GITHUB_WORKFLOW: inductor 2025-09-07T08:03:43.0470844Z GITHUB_JOB: test 2025-09-07T08:03:43.0471054Z GITHUB_RUN_ID: 17524754606 2025-09-07T08:03:43.0471297Z GITHUB_RUN_NUMBER: 152138 2025-09-07T08:03:43.0471527Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T08:03:43.0471742Z JOB_ID: 49775796136 2025-09-07T08:03:43.0472130Z JOB_NAME: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-09-07T08:03:43.0472701Z BRANCH: main 2025-09-07T08:03:43.0472934Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:03:43.0473271Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:03:43.0473592Z TEST_CONFIG: inductor_torchbench 2025-09-07T08:03:43.0473848Z SHARD_NUMBER: 2 2025-09-07T08:03:43.0474044Z NUM_TEST_SHARDS: 2 2025-09-07T08:03:43.0474273Z REENABLED_ISSUES: 2025-09-07T08:03:43.0474501Z CONTINUE_THROUGH_ERROR: True 2025-09-07T08:03:43.0474748Z VERBOSE_TEST_LOGS: False 2025-09-07T08:03:43.0474988Z TEST_SHOWLOCALS: False 2025-09-07T08:03:43.0475226Z NO_TEST_TIMEOUT: False 2025-09-07T08:03:43.0475447Z NO_TD: False 2025-09-07T08:03:43.0475639Z TD_DISTRIBUTED: False 2025-09-07T08:03:43.0475923Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T08:03:43.0476246Z SCCACHE_REGION: us-east-1 2025-09-07T08:03:43.0476479Z SHM_SIZE: 2g 2025-09-07T08:03:43.0477310Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:03:43.0478184Z XLA_CUDA: 2025-09-07T08:03:43.0478508Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:03:43.0478920Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T08:03:43.0479256Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T08:03:43.0479576Z DASHBOARD_TAG: 2025-09-07T08:03:43.0480142Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T08:03:43.0480778Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T08:03:43.0481342Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T08:03:43.0491966Z ARTIFACTS_FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_49775796136 2025-09-07T08:03:43.0492481Z ##[endgroup] 2025-09-07T08:03:43.0521556Z + [[ inductor_torchbench == \m\u\l\t\i\g\p\u ]] 2025-09-07T08:03:43.0521927Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *onnx* ]] 2025-09-07T08:03:43.0522285Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:03:43.0525645Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T08:03:43.0559552Z + TOTAL_AVAILABLE_MEMORY_IN_GB='61.094 ' 2025-09-07T08:03:43.0560154Z + TOTAL_MEMORY_WITH_SWAP=64 2025-09-07T08:03:43.0560821Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *\s\3\9\0\x* ]] 2025-09-07T08:03:43.0561205Z + SHM_OPTS=--shm-size=2g 2025-09-07T08:03:43.0561463Z + JENKINS_USER='--user jenkins' 2025-09-07T08:03:43.0561710Z + DOCKER_SHELL_CMD= 2025-09-07T08:03:43.0573108Z +++ nproc --ignore=2 2025-09-07T08:03:43.0605848Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=14 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=61g --memory-swap=64g --env-file=/tmp/github_env_17524754606 --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-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:03:56.1146849Z + container_name=2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T08:03:56.1149845Z + grep download.pytorch.org /etc/hosts 2025-09-07T08:03:56.1151502Z + docker exec -i 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T08:03:56.3177153Z + echo DOCKER_CONTAINER_ID=2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T08:03:56.3179705Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *\s\3\9\0\x* ]] 2025-09-07T08:03:56.3188434Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T08:03:56.3192051Z + docker exec -t 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T08:03:56.8270454Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T08:03:57.1442736Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.19.1) 2025-09-07T08:03:57.1446412Z 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+git93fb23d->torch==2.9.0a0+git93fb23d) (4.15.0) 2025-09-07T08:03:57.1450940Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.13.3) 2025-09-07T08:03:57.1455876Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2.8.8) 2025-09-07T08:03:57.1459540Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.1.6) 2025-09-07T08:03:57.1464151Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2025.3.0) 2025-09-07T08:03:57.1477583Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.3.0) 2025-09-07T08:03:57.1852969Z 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+git93fb23d->torch==2.9.0a0+git93fb23d) (1.22.4) 2025-09-07T08:03:57.1872232Z 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+git93fb23d->torch==2.9.0a0+git93fb23d) (1.3.0) 2025-09-07T08:03:57.1907600Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.0.2) 2025-09-07T08:03:58.1229974Z Installing collected packages: torch 2025-09-07T08:04:09.4643513Z 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. 2025-09-07T08:04:09.4644442Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T08:04:09.4644867Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T08:04:09.4645340Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T08:04:09.4645906Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T08:04:09.4646610Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T08:04:09.4647330Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T08:04:09.4647828Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T08:04:09.5719056Z + export TERM=vt100 2025-09-07T08:04:09.5719306Z + TERM=vt100 2025-09-07T08:04:09.5721475Z ++ dirname .ci/pytorch/test.sh 2025-09-07T08:04:09.5896408Z + source .ci/pytorch/common.sh 2025-09-07T08:04:09.5955418Z +++ dirname .ci/pytorch/common.sh 2025-09-07T08:04:09.5965603Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T08:04:09.6008966Z +++ declare -f -t trap_add 2025-09-07T08:04:09.6014128Z ++ set -ex -o pipefail 2025-09-07T08:04:09.6014518Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]] 2025-09-07T08:04:09.6014941Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T08:04:09.6077436Z ++ dirname .ci/pytorch/test.sh 2025-09-07T08:04:09.6203525Z + source .ci/pytorch/common-build.sh 2025-09-07T08:04:09.6260783Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *win-* ]] 2025-09-07T08:04:09.6268515Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T08:04:09.6278072Z +++ cd .ci/pytorch 2025-09-07T08:04:09.6278660Z +++ pwd -P 2025-09-07T08:04:09.6281455Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T08:04:09.6281906Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *-pch* ]] 2025-09-07T08:04:09.6282244Z ++ which sccache 2025-09-07T08:04:09.6385922Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T08:04:09.6386252Z ++ sccache --stop-server 2025-09-07T08:04:09.6418844Z ++ true 2025-09-07T08:04:09.6419125Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T08:04:09.6532775Z ++ trap_add sccache_epilogue EXIT 2025-09-07T08:04:09.6533143Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T08:04:09.6533392Z ++ shift 2025-09-07T08:04:09.6533594Z ++ for trap_add_name in "$@" 2025-09-07T08:04:09.6540023Z ++++ trap -p EXIT 2025-09-07T08:04:09.6543039Z +++ eval 'extract_trap_cmd ' 2025-09-07T08:04:09.6543330Z ++++ extract_trap_cmd 2025-09-07T08:04:09.6543552Z ++++ printf '%s\n' '' 2025-09-07T08:04:09.6543792Z +++ printf '%s\n' sccache_epilogue 2025-09-07T08:04:09.6546070Z ++ trap -- ' 2025-09-07T08:04:09.6546372Z sccache_epilogue' EXIT 2025-09-07T08:04:09.6546680Z ++ [[ -n 1 ]] 2025-09-07T08:04:09.6547165Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T08:04:09.6547909Z Skipping sccache server initialization, setting environment variables 2025-09-07T08:04:09.6548384Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:04:09.6548666Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:04:09.6548997Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:04:09.6549407Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:04:09.6549778Z ++ export RUST_LOG=sccache::server=error 2025-09-07T08:04:09.6550077Z ++ RUST_LOG=sccache::server=error 2025-09-07T08:04:09.6550353Z ++ sccache --zero-stats 2025-09-07T08:04:10.0503584Z Statistics zeroed. 2025-09-07T08:04:10.0510400Z ++ which ccache 2025-09-07T08:04:10.0572559Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *rocm* ]] 2025-09-07T08:04:10.0573154Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *s390x* ]] 2025-09-07T08:04:10.0573631Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T08:04:10.0575967Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T08:04:10.0644221Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T08:04:10.0644682Z + trap_add cleanup_workspace EXIT 2025-09-07T08:04:10.0645018Z + trap_add_cmd=cleanup_workspace 2025-09-07T08:04:10.0645320Z + shift 2025-09-07T08:04:10.0645545Z + for trap_add_name in "$@" 2025-09-07T08:04:10.0653312Z +++ trap -p EXIT 2025-09-07T08:04:10.0657202Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T08:04:10.0657512Z sccache_epilogue'\'' EXIT' 2025-09-07T08:04:10.0657778Z +++ extract_trap_cmd trap -- ' 2025-09-07T08:04:10.0658031Z sccache_epilogue' EXIT 2025-09-07T08:04:10.0658250Z +++ printf '%s\n' ' 2025-09-07T08:04:10.0658460Z sccache_epilogue' 2025-09-07T08:04:10.0658688Z ++ printf '%s\n' cleanup_workspace 2025-09-07T08:04:10.0661137Z + trap -- ' 2025-09-07T08:04:10.0661580Z sccache_epilogue 2025-09-07T08:04:10.0661850Z cleanup_workspace' EXIT 2025-09-07T08:04:10.0662155Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T08:04:11.0619280Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T08:04:11.0837590Z + echo 'Environment variables:' 2025-09-07T08:04:11.0837885Z Environment variables: 2025-09-07T08:04:11.0838116Z + env 2025-09-07T08:04:11.0863738Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T08:04:11.0864346Z CONTINUE_THROUGH_ERROR=True 2025-09-07T08:04:11.0864690Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm86 2025-09-07T08:04:11.0865239Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T08:04:11.0865515Z HOSTNAME=2bc29f23d6c7 2025-09-07T08:04:11.0866040Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_8323ec22-a988-4452-bf69-c51a17d780a4 2025-09-07T08:04:11.0866613Z GITHUB_ACTION=__run_2 2025-09-07T08:04:11.0866857Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T08:04:11.0867159Z GITHUB_RUN_NUMBER=152138 2025-09-07T08:04:11.0867412Z TEST_CONFIG=inductor_torchbench 2025-09-07T08:04:11.0867688Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T08:04:11.0867987Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T08:04:11.0868279Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:04:11.0868636Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T08:04:11.0868922Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T08:04:11.0869214Z GITHUB_REF_TYPE=branch 2025-09-07T08:04:11.0869492Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:04:11.0869797Z XLA_CUDA= 2025-09-07T08:04:11.0870014Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T08:04:11.0870454Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T08:04:11.0872843Z *** 2025-09-07T08:04:11.0873086Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T08:04:11.0873356Z GITHUB_ACTIONS=true 2025-09-07T08:04:11.0873601Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:04:11.0873914Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:04:11.0874475Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:04:11.0874998Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:04:11.0875578Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-09-07T08:04:11.0876010Z UCC_HOME=/usr 2025-09-07T08:04:11.0876222Z VERBOSE_TEST_LOGS=False 2025-09-07T08:04:11.0876473Z GITHUB_REF=refs/heads/main 2025-09-07T08:04:11.0876801Z SHARD_NUMBER=2 2025-09-07T08:04:11.0877021Z GITHUB_REF_PROTECTED=true 2025-09-07T08:04:11.0877263Z HOME=/var/lib/jenkins 2025-09-07T08:04:11.0877523Z GITHUB_API_URL=https://api.github.com 2025-09-07T08:04:11.0877923Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T08:04:11.0878273Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T08:04:11.0878581Z USE_SYSTEM_NCCL=1 2025-09-07T08:04:11.0878795Z NUM_TEST_SHARDS=2 2025-09-07T08:04:11.0879006Z UCX_HOME=/usr 2025-09-07T08:04:11.0879516Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_8323ec22-a988-4452-bf69-c51a17d780a4 2025-09-07T08:04:11.0880265Z JOB_NAME=inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-09-07T08:04:11.0880983Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_8323ec22-a988-4452-bf69-c51a17d780a4 2025-09-07T08:04:11.0881708Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T08:04:11.0882152Z GITHUB_EVENT_NAME=push 2025-09-07T08:04:11.0882394Z DASHBOARD_TAG= 2025-09-07T08:04:11.0882608Z GITHUB_RUN_ID=17524754606 2025-09-07T08:04:11.0882852Z INSTALLED_OPENBLAS= 2025-09-07T08:04:11.0883398Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_8323ec22-a988-4452-bf69-c51a17d780a4 2025-09-07T08:04:11.0884038Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T08:04:11.0884292Z PR_NUMBER= 2025-09-07T08:04:11.0884600Z DESIRED_CUDA=12.8.1 2025-09-07T08:04:11.0884819Z GITHUB_RUN_ATTEMPT=1 2025-09-07T08:04:11.0885051Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T08:04:11.0885366Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T08:04:11.0885681Z TERM=vt100 2025-09-07T08:04:11.0885880Z INSTALLED_VISION=yes 2025-09-07T08:04:11.0886093Z BRANCH=main 2025-09-07T08:04:11.0886305Z SCCACHE_REGION=us-east-1 2025-09-07T08:04:11.0886555Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T08:04:11.0886814Z CUDA_PATH=/usr/local/cuda 2025-09-07T08:04:11.0887395Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T08:04:11.0887925Z GITHUB_SERVER_URL=https://github.com 2025-09-07T08:04:11.0888260Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T08:04:11.0888576Z REENABLED_ISSUES= 2025-09-07T08:04:11.0888777Z DOCS= 2025-09-07T08:04:11.0888957Z SHLVL=1 2025-09-07T08:04:11.0889146Z MAX_JOBS=14 2025-09-07T08:04:11.0889354Z GITHUB_ACTOR_ID=97764156 2025-09-07T08:04:11.0889663Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:04:11.0890010Z GITHUB_REF_NAME=main 2025-09-07T08:04:11.0890372Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:04:11.0890764Z GITHUB_JOB=test 2025-09-07T08:04:11.0890970Z NO_TEST_TIMEOUT=False 2025-09-07T08:04:11.0891204Z TD_DISTRIBUTED=False 2025-09-07T08:04:11.0891452Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T08:04:11.0891729Z GITHUB_RETENTION_DAYS=90 2025-09-07T08:04:11.0891968Z OPENSSL_DIR=/opt/openssl 2025-09-07T08:04:11.0892216Z GITHUB_ACTION_REPOSITORY= 2025-09-07T08:04:11.0892924Z 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 2025-09-07T08:04:11.0893642Z GITHUB_BASE_REF= 2025-09-07T08:04:11.0893851Z INSTALLED_ACL= 2025-09-07T08:04:11.0894270Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_49775796136 2025-09-07T08:04:11.0894743Z CI=true 2025-09-07T08:04:11.0894947Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T08:04:11.0895243Z RUST_LOG=sccache::server=error 2025-09-07T08:04:11.0895584Z JOB_ID=49775796136 2025-09-07T08:04:11.0895796Z GITHUB_HEAD_REF= 2025-09-07T08:04:11.0896005Z GITHUB_ACTION_REF= 2025-09-07T08:04:11.0896267Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T08:04:11.0896588Z TEST_SHOWLOCALS=False 2025-09-07T08:04:11.0896821Z GITHUB_WORKFLOW=inductor 2025-09-07T08:04:11.0897070Z DEBIAN_FRONTEND=noninteractive 2025-09-07T08:04:11.0897634Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_8323ec22-a988-4452-bf69-c51a17d780a4 2025-09-07T08:04:11.0898206Z NO_TD=False 2025-09-07T08:04:11.0898421Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T08:04:11.0898705Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T08:04:11.0898982Z _=/usr/bin/env 2025-09-07T08:04:11.0899269Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T08:04:11.1198823Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T08:04:11.1199529Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T08:04:11.1200069Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T08:04:11.1200601Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T08:04:11.1201001Z + BUILD_DIR=build 2025-09-07T08:04:11.1201224Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T08:04:11.1201497Z + BUILD_BIN_DIR=build/bin 2025-09-07T08:04:11.1201718Z + SHARD_NUMBER=2 2025-09-07T08:04:11.1201998Z + NUM_TEST_SHARDS=2 2025-09-07T08:04:11.1202262Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:04:11.1202549Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:04:11.1202794Z + export VALGRIND=ON 2025-09-07T08:04:11.1203006Z + VALGRIND=ON 2025-09-07T08:04:11.1203277Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *clang9* ]] 2025-09-07T08:04:11.1203672Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *xpu* ]] 2025-09-07T08:04:11.1203980Z + detect_cuda_arch 2025-09-07T08:04:11.1204252Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *cuda* ]] 2025-09-07T08:04:11.1204709Z + command -v nvidia-smi 2025-09-07T08:04:11.1204942Z /usr/bin/nvidia-smi 2025-09-07T08:04:11.1212142Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-09-07T08:04:11.1213161Z ++ tail -n 1 2025-09-07T08:04:11.1465583Z + TORCH_CUDA_ARCH_LIST=8.6 2025-09-07T08:04:11.1465877Z + export TORCH_CUDA_ARCH_LIST 2025-09-07T08:04:11.1466204Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *s390x* ]] 2025-09-07T08:04:11.1466708Z + [[ 0 == \1 ]] 2025-09-07T08:04:11.1466918Z + [[ True == \1 ]] 2025-09-07T08:04:11.1467195Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *bazel* ]] 2025-09-07T08:04:11.1470649Z ++ realpath build/custom_test_artifacts 2025-09-07T08:04:11.1497351Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T08:04:11.1497806Z + [[ -n '' ]] 2025-09-07T08:04:11.1498029Z + echo 'Environment variables' 2025-09-07T08:04:11.1498288Z Environment variables 2025-09-07T08:04:11.1498498Z + env 2025-09-07T08:04:11.1525347Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T08:04:11.1525777Z CONTINUE_THROUGH_ERROR=True 2025-09-07T08:04:11.1526442Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm86 2025-09-07T08:04:11.1527156Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T08:04:11.1527498Z HOSTNAME=2bc29f23d6c7 2025-09-07T08:04:11.1528129Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_8323ec22-a988-4452-bf69-c51a17d780a4 2025-09-07T08:04:11.1528746Z GITHUB_ACTION=__run_2 2025-09-07T08:04:11.1529006Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T08:04:11.1529293Z GITHUB_RUN_NUMBER=152138 2025-09-07T08:04:11.1529558Z TEST_CONFIG=inductor_torchbench 2025-09-07T08:04:11.1529843Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T08:04:11.1530227Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T08:04:11.1530522Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:04:11.1530951Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T08:04:11.1531278Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T08:04:11.1531769Z GITHUB_REF_TYPE=branch 2025-09-07T08:04:11.1532014Z TORCH_CUDA_ARCH_LIST=8.6 2025-09-07T08:04:11.1532309Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:04:11.1532620Z XLA_CUDA= 2025-09-07T08:04:11.1532835Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T08:04:11.1533355Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T08:04:11.1533645Z *** 2025-09-07T08:04:11.1533868Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T08:04:11.1534136Z GITHUB_ACTIONS=true 2025-09-07T08:04:11.1534369Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:04:11.1534689Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:04:11.1535049Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:04:11.1535398Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:04:11.1535869Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-09-07T08:04:11.1536304Z UCC_HOME=/usr 2025-09-07T08:04:11.1536528Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:04:11.1536787Z VERBOSE_TEST_LOGS=False 2025-09-07T08:04:11.1537030Z GITHUB_REF=refs/heads/main 2025-09-07T08:04:11.1537274Z SHARD_NUMBER=2 2025-09-07T08:04:11.1537490Z GITHUB_REF_PROTECTED=true 2025-09-07T08:04:11.1537741Z HOME=/var/lib/jenkins 2025-09-07T08:04:11.1538002Z GITHUB_API_URL=https://api.github.com 2025-09-07T08:04:11.1538307Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T08:04:11.1538632Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T08:04:11.1538957Z USE_SYSTEM_NCCL=1 2025-09-07T08:04:11.1539164Z NUM_TEST_SHARDS=2 2025-09-07T08:04:11.1550363Z UCX_HOME=/usr 2025-09-07T08:04:11.1550921Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_8323ec22-a988-4452-bf69-c51a17d780a4 2025-09-07T08:04:11.1551665Z JOB_NAME=inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-09-07T08:04:11.1552385Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_8323ec22-a988-4452-bf69-c51a17d780a4 2025-09-07T08:04:11.1553116Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T08:04:11.1553569Z GITHUB_EVENT_NAME=push 2025-09-07T08:04:11.1553802Z DASHBOARD_TAG= 2025-09-07T08:04:11.1554013Z GITHUB_RUN_ID=17524754606 2025-09-07T08:04:11.1554254Z INSTALLED_OPENBLAS= 2025-09-07T08:04:11.1554803Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_8323ec22-a988-4452-bf69-c51a17d780a4 2025-09-07T08:04:11.1555588Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T08:04:11.1555843Z PR_NUMBER= 2025-09-07T08:04:11.1556040Z DESIRED_CUDA=12.8.1 2025-09-07T08:04:11.1556261Z GITHUB_RUN_ATTEMPT=1 2025-09-07T08:04:11.1556482Z VALGRIND=ON 2025-09-07T08:04:11.1556693Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T08:04:11.1557014Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T08:04:11.1557337Z TERM=vt100 2025-09-07T08:04:11.1557538Z INSTALLED_VISION=yes 2025-09-07T08:04:11.1557766Z BRANCH=main 2025-09-07T08:04:11.1557983Z SCCACHE_REGION=us-east-1 2025-09-07T08:04:11.1558252Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T08:04:11.1558520Z CUDA_PATH=/usr/local/cuda 2025-09-07T08:04:11.1558996Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T08:04:11.1559531Z GITHUB_SERVER_URL=https://github.com 2025-09-07T08:04:11.1559865Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T08:04:11.1560185Z REENABLED_ISSUES= 2025-09-07T08:04:11.1560395Z DOCS= 2025-09-07T08:04:11.1560595Z SHLVL=1 2025-09-07T08:04:11.1560793Z MAX_JOBS=14 2025-09-07T08:04:11.1561005Z GITHUB_ACTOR_ID=97764156 2025-09-07T08:04:11.1561327Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:04:11.1561686Z GITHUB_REF_NAME=main 2025-09-07T08:04:11.1562044Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:04:11.1562438Z GITHUB_JOB=test 2025-09-07T08:04:11.1562659Z NO_TEST_TIMEOUT=False 2025-09-07T08:04:11.1562895Z TD_DISTRIBUTED=False 2025-09-07T08:04:11.1563147Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T08:04:11.1563526Z GITHUB_RETENTION_DAYS=90 2025-09-07T08:04:11.1563775Z OPENSSL_DIR=/opt/openssl 2025-09-07T08:04:11.1564029Z GITHUB_ACTION_REPOSITORY= 2025-09-07T08:04:11.1564969Z 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 2025-09-07T08:04:11.1565694Z GITHUB_BASE_REF= 2025-09-07T08:04:11.1565910Z INSTALLED_ACL= 2025-09-07T08:04:11.1566348Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_49775796136 2025-09-07T08:04:11.1566832Z CI=true 2025-09-07T08:04:11.1567051Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T08:04:11.1567346Z RUST_LOG=sccache::server=error 2025-09-07T08:04:11.1567602Z JOB_ID=49775796136 2025-09-07T08:04:11.1567820Z GITHUB_HEAD_REF= 2025-09-07T08:04:11.1568036Z GITHUB_ACTION_REF= 2025-09-07T08:04:11.1568315Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T08:04:11.1568650Z TEST_SHOWLOCALS=False 2025-09-07T08:04:11.1568911Z GITHUB_WORKFLOW=inductor 2025-09-07T08:04:11.1569173Z DEBIAN_FRONTEND=noninteractive 2025-09-07T08:04:11.1569735Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_8323ec22-a988-4452-bf69-c51a17d780a4 2025-09-07T08:04:11.1570316Z NO_TD=False 2025-09-07T08:04:11.1570541Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T08:04:11.1570834Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T08:04:11.1571120Z _=/usr/bin/env 2025-09-07T08:04:11.1571346Z + echo 'Testing pytorch' 2025-09-07T08:04:11.1571591Z Testing pytorch 2025-09-07T08:04:11.1571824Z + export LANG=C.UTF-8 2025-09-07T08:04:11.1572044Z + LANG=C.UTF-8 2025-09-07T08:04:11.1592176Z + PR_NUMBER= 2025-09-07T08:04:11.1592439Z + [[ inductor_torchbench == \d\e\f\a\u\l\t ]] 2025-09-07T08:04:11.1592863Z + [[ inductor_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T08:04:11.1593191Z + [[ inductor_torchbench == \s\l\o\w ]] 2025-09-07T08:04:11.1593652Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *slow-gradcheck* ]] 2025-09-07T08:04:11.1594102Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *cuda* ]] 2025-09-07T08:04:11.1594535Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T08:04:11.1594850Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T08:04:11.1595165Z + [[ inductor_torchbench == *crossref* ]] 2025-09-07T08:04:11.1595511Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]] 2025-09-07T08:04:11.1596008Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *xpu* ]] 2025-09-07T08:04:11.1596399Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *-bazel-* ]] 2025-09-07T08:04:11.1596737Z + pip_install ninja==1.10.2 2025-09-07T08:04:11.1597074Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T08:04:11.1597499Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T08:04:11.6511658Z Collecting ninja==1.10.2 2025-09-07T08:04:11.6821939Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T08:04:11.6982214Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T08:04:12.6348113Z Installing collected packages: ninja 2025-09-07T08:04:12.6348683Z Attempting uninstall: ninja 2025-09-07T08:04:12.6359429Z Found existing installation: ninja 1.11.1.3 2025-09-07T08:04:12.6385350Z Uninstalling ninja-1.11.1.3: 2025-09-07T08:04:12.6482477Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T08:04:12.7223511Z Successfully installed ninja-1.10.2 2025-09-07T08:04:12.8206667Z + 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 2025-09-07T08:04:12.8208124Z + 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 2025-09-07T08:04:12.8209037Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *aarch64* ]] 2025-09-07T08:04:12.8209904Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *asan* ]] 2025-09-07T08:04:12.8210308Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *-debug* ]] 2025-09-07T08:04:12.8210719Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *-bazel-* ]] 2025-09-07T08:04:12.8211280Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm86. Expect the assertion to pass' 2025-09-07T08:04:12.8211970Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm86. Expect the assertion to pass 2025-09-07T08:04:12.8212428Z + cd test 2025-09-07T08:04:12.8212764Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T08:04:14.0644945Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:04:14.0646646Z import pynvml # type: ignore[import] 2025-09-07T08:04:16.0943491Z + [[ inductor_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T08:04:16.0943907Z + [[ inductor_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T08:04:16.0944327Z + [[ inductor_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T08:04:16.0947769Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T08:04:16.0948676Z + [[ inductor_torchbench == *pr_time_benchmarks* ]] 2025-09-07T08:04:16.0949045Z + [[ inductor_torchbench == *dynamo_eager* ]] 2025-09-07T08:04:16.0949390Z + [[ inductor_torchbench == *aot_eager* ]] 2025-09-07T08:04:16.0949712Z + [[ inductor_torchbench == *aot_inductor* ]] 2025-09-07T08:04:16.0950063Z + [[ inductor_torchbench == *max_autotune_inductor* ]] 2025-09-07T08:04:16.0950406Z + [[ inductor_torchbench == *inductor* ]] 2025-09-07T08:04:16.0950718Z + [[ inductor_torchbench != *perf* ]] 2025-09-07T08:04:16.0951035Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-09-07T08:04:16.0951346Z + [[ inductor_torchbench == *dynamic* ]] 2025-09-07T08:04:16.0951657Z + [[ inductor_torchbench == *cpu* ]] 2025-09-07T08:04:16.0951961Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-09-07T08:04:16.0980693Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *libtorch* ]] 2025-09-07T08:04:16.0981130Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *-bazel-* ]] 2025-09-07T08:04:16.0985173Z + cd test 2025-09-07T08:04:16.0985755Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T08:04:16.6667311Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:04:16.6668920Z import pynvml # type: ignore[import] 2025-09-07T08:04:17.7747185Z PyTorch built with: 2025-09-07T08:04:17.7747444Z - GCC 9.5 2025-09-07T08:04:17.7747713Z - C++ Version: 201703 2025-09-07T08:04:17.7748404Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T08:04:17.7749329Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T08:04:17.7749858Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T08:04:17.7750207Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T08:04:17.7750501Z - NNPACK is enabled 2025-09-07T08:04:17.7750741Z - CPU capability usage: AVX2 2025-09-07T08:04:17.7750999Z - CUDA Runtime 12.8 2025-09-07T08:04:17.7751319Z - NVCC architecture flags: -gencode;arch=compute_86,code=sm_86 2025-09-07T08:04:17.7751667Z - CuDNN 90.8 2025-09-07T08:04:17.7755836Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=93fb23d6fae7c4e82c4239a1033e522088742634, 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, 2025-09-07T08:04:17.7760437Z 2025-09-07T08:04:18.2140769Z + cd test 2025-09-07T08:04:18.2141199Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T08:04:18.7830435Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:04:18.7831749Z import pynvml # type: ignore[import] 2025-09-07T08:04:19.5767003Z ATen/Parallel: 2025-09-07T08:04:19.5767292Z at::get_num_threads() : 8 2025-09-07T08:04:19.5767609Z at::get_num_interop_threads() : 16 2025-09-07T08:04:19.5767913Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T08:04:19.5768206Z omp_get_max_threads() : 8 2025-09-07T08:04:19.5768731Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T08:04:19.5769280Z mkl_get_max_threads() : 8 2025-09-07T08:04:19.5769654Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T08:04:19.5770069Z std::thread::hardware_concurrency() : 16 2025-09-07T08:04:19.5770379Z Environment variables: 2025-09-07T08:04:19.5770634Z OMP_NUM_THREADS : [not set] 2025-09-07T08:04:19.5770899Z MKL_NUM_THREADS : [not set] 2025-09-07T08:04:19.5771161Z ATen parallel backend: OpenMP 2025-09-07T08:04:19.5771339Z 2025-09-07T08:04:19.9151552Z + [[ inductor_torchbench == *numpy_2* ]] 2025-09-07T08:04:19.9151959Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *aarch64* ]] 2025-09-07T08:04:19.9152575Z + [[ inductor_torchbench == *backward* ]] 2025-09-07T08:04:19.9152899Z + [[ inductor_torchbench == *xla* ]] 2025-09-07T08:04:19.9153201Z + [[ inductor_torchbench == *vllm* ]] 2025-09-07T08:04:19.9153504Z + [[ inductor_torchbench == *executorch* ]] 2025-09-07T08:04:19.9153848Z + [[ inductor_torchbench == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T08:04:19.9154240Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *libtorch* ]] 2025-09-07T08:04:19.9154610Z + [[ inductor_torchbench == distributed ]] 2025-09-07T08:04:19.9154945Z + [[ inductor_torchbench == *operator_benchmark* ]] 2025-09-07T08:04:19.9155314Z + [[ inductor_torchbench == *inductor_distributed* ]] 2025-09-07T08:04:19.9155673Z + [[ inductor_torchbench == *inductor-halide* ]] 2025-09-07T08:04:19.9156039Z + [[ inductor_torchbench == *inductor-triton-cpu* ]] 2025-09-07T08:04:19.9156425Z + [[ inductor_torchbench == *inductor-micro-benchmark* ]] 2025-09-07T08:04:19.9156809Z + [[ inductor_torchbench == *huggingface* ]] 2025-09-07T08:04:19.9157119Z + [[ inductor_torchbench == *timm* ]] 2025-09-07T08:04:19.9157419Z + [[ inductor_torchbench == cachebench ]] 2025-09-07T08:04:19.9157742Z + [[ inductor_torchbench == verify_cachebench ]] 2025-09-07T08:04:19.9158136Z + [[ inductor_torchbench == *torchbench* ]] 2025-09-07T08:04:19.9158535Z + install_torchaudio 2025-09-07T08:04:19.9158789Z + local commit 2025-09-07T08:04:19.9158994Z ++ get_pinned_commit audio 2025-09-07T08:04:19.9159257Z ++ cat .github/ci_commit_pins/audio.txt 2025-09-07T08:04:19.9190358Z + commit=2e300559e4e123928a22187b8f59a5b56f57ddc8 2025-09-07T08:04:19.9190966Z + pip_build_and_install git+https://github.com/pytorch/audio.git@2e300559e4e123928a22187b8f59a5b56f57ddc8 dist/audio 2025-09-07T08:04:19.9192208Z + local build_target=git+https://github.com/pytorch/audio.git@2e300559e4e123928a22187b8f59a5b56f57ddc8 2025-09-07T08:04:19.9192827Z + local wheel_dir=dist/audio 2025-09-07T08:04:19.9193184Z + local found_whl=0 2025-09-07T08:04:19.9193476Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:04:19.9193897Z + [[ -f dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T08:04:19.9194374Z + found_whl=1 2025-09-07T08:04:19.9194590Z + break 2025-09-07T08:04:19.9194840Z + '[' 1 == 0 ']' 2025-09-07T08:04:19.9195123Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:04:19.9195551Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T08:04:19.9196127Z + args=('dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl') 2025-09-07T08:04:19.9196523Z + local args 2025-09-07T08:04:19.9196871Z + [[ dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T08:04:19.9197300Z + for path in "${args[@]}" 2025-09-07T08:04:19.9197714Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl' 2025-09-07T08:04:19.9198307Z Installing dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T08:04:19.9198986Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T08:04:20.2962309Z Processing ./dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T08:04:20.3030207Z Installing collected packages: torchaudio 2025-09-07T08:04:20.5143214Z Successfully installed torchaudio-2.8.0a0+2e30055 2025-09-07T08:04:20.5542160Z + install_torchvision 2025-09-07T08:04:20.5542463Z + local orig_preload 2025-09-07T08:04:20.5542691Z + local commit 2025-09-07T08:04:20.5547114Z ++ get_pinned_commit vision 2025-09-07T08:04:20.5547455Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T08:04:20.5571190Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T08:04:20.5571554Z + orig_preload= 2025-09-07T08:04:20.5571776Z + '[' -n '' ']' 2025-09-07T08:04:20.5572060Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *cuda* ]] 2025-09-07T08:04:20.5572394Z + export FORCE_CUDA=1 2025-09-07T08:04:20.5572624Z + FORCE_CUDA=1 2025-09-07T08:04:20.5572830Z + export WITH_CUDA=1 2025-09-07T08:04:20.5573055Z + WITH_CUDA=1 2025-09-07T08:04:20.5573863Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T08:04:20.5574808Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T08:04:20.5575365Z + local wheel_dir=dist/vision 2025-09-07T08:04:20.5575673Z + local found_whl=0 2025-09-07T08:04:20.5575936Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:04:20.5576360Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T08:04:20.5576870Z + found_whl=1 2025-09-07T08:04:20.5577075Z + break 2025-09-07T08:04:20.5577261Z + '[' 1 == 0 ']' 2025-09-07T08:04:20.5577568Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:04:20.5578024Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:04:20.5578715Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-09-07T08:04:20.5579168Z + local args 2025-09-07T08:04:20.5579590Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T08:04:20.5580097Z + for path in "${args[@]}" 2025-09-07T08:04:20.5580556Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-09-07T08:04:20.5581270Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:04:20.5582070Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:04:20.9380642Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:04:20.9475779Z Installing collected packages: torchvision 2025-09-07T08:04:21.4287350Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T08:04:21.4686285Z + '[' -n '' ']' 2025-09-07T08:04:21.4686612Z + id=1 2025-09-07T08:04:21.4686900Z + pip_install opencv-python==4.8.0.74 2025-09-07T08:04:21.4687395Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T08:04:21.4687994Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74 2025-09-07T08:04:21.9586390Z Collecting opencv-python==4.8.0.74 2025-09-07T08:04:21.9739340Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) 2025-09-07T08:04:21.9813852Z 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) 2025-09-07T08:04:21.9893936Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB) 2025-09-07T08:04:23.3357991Z Installing collected packages: opencv-python 2025-09-07T08:04:23.3358374Z Attempting uninstall: opencv-python 2025-09-07T08:04:23.3370736Z Found existing installation: opencv-python 4.11.0.86 2025-09-07T08:04:23.3482545Z Uninstalling opencv-python-4.11.0.86: 2025-09-07T08:04:23.5179230Z Successfully uninstalled opencv-python-4.11.0.86 2025-09-07T08:04:24.4759587Z Successfully installed opencv-python-4.8.0.74 2025-09-07T08:04:24.5949808Z + [[ inductor_torchbench == *inductor_torchbench_smoketest_perf* ]] 2025-09-07T08:04:24.5950408Z + [[ inductor_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]] 2025-09-07T08:04:24.5950861Z + [[ inductor_torchbench == *torchbench_gcp_smoketest* ]] 2025-09-07T08:04:24.5951287Z + [[ inductor_torchbench != *cpu* ]] 2025-09-07T08:04:24.5951575Z + install_torchrec_and_fbgemm 2025-09-07T08:04:24.5951886Z + local torchrec_commit 2025-09-07T08:04:24.5954365Z ++ get_pinned_commit torchrec 2025-09-07T08:04:24.5954660Z ++ cat .github/ci_commit_pins/torchrec.txt 2025-09-07T08:04:24.5976033Z + torchrec_commit=6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-09-07T08:04:24.5976382Z + local fbgemm_commit 2025-09-07T08:04:24.5979910Z ++ get_pinned_commit fbgemm 2025-09-07T08:04:24.5980195Z ++ cat .github/ci_commit_pins/fbgemm.txt 2025-09-07T08:04:24.5999748Z + fbgemm_commit=de731af65b4f04696e85c729e3282450b51b95fd 2025-09-07T08:04:24.6000514Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]] 2025-09-07T08:04:24.6000873Z + pip_uninstall torchrec-nightly 2025-09-07T08:04:24.6001169Z + pip3 uninstall -y torchrec-nightly 2025-09-07T08:04:24.9863324Z WARNING: Skipping torchrec-nightly as it is not installed. 2025-09-07T08:04:25.0193320Z + pip_uninstall fbgemm-gpu-nightly 2025-09-07T08:04:25.0193678Z + pip3 uninstall -y fbgemm-gpu-nightly 2025-09-07T08:04:25.4046183Z WARNING: Skipping fbgemm-gpu-nightly as it is not installed. 2025-09-07T08:04:25.4381929Z + pip_install setuptools-git-versioning scikit-build pyre-extensions 2025-09-07T08:04:25.4382511Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T08:04:25.4383111Z + python3 -m pip install --progress-bar off setuptools-git-versioning scikit-build pyre-extensions 2025-09-07T08:04:25.8120987Z Requirement already satisfied: setuptools-git-versioning in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.1.0) 2025-09-07T08:04:25.8122398Z Requirement already satisfied: scikit-build in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.18.1) 2025-09-07T08:04:25.8125620Z Requirement already satisfied: pyre-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.0.32) 2025-09-07T08:04:25.8137285Z Requirement already satisfied: packaging in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (25.0) 2025-09-07T08:04:25.8140831Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (80.9.0) 2025-09-07T08:04:25.8147684Z 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) 2025-09-07T08:04:25.8193027Z Requirement already satisfied: distro in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (1.9.0) 2025-09-07T08:04:25.8201764Z 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) 2025-09-07T08:04:25.8209931Z Requirement already satisfied: typing-inspect in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (0.9.0) 2025-09-07T08:04:25.8213403Z Requirement already satisfied: typing-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (4.15.0) 2025-09-07T08:04:25.8299651Z 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) 2025-09-07T08:04:26.8913816Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]] 2025-09-07T08:04:26.8914596Z + pip_build_and_install git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 dist/torchrec 2025-09-07T08:04:26.8915602Z + local build_target=git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-09-07T08:04:26.8916229Z + local wheel_dir=dist/torchrec 2025-09-07T08:04:26.8916489Z + local found_whl=0 2025-09-07T08:04:26.8916731Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:04:26.8917079Z + [[ -f dist/torchrec/torchrec-0.3.2-py3-none-any.whl ]] 2025-09-07T08:04:26.8917396Z + found_whl=1 2025-09-07T08:04:26.8917591Z + break 2025-09-07T08:04:26.8917779Z + '[' 1 == 0 ']' 2025-09-07T08:04:26.8918003Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:04:26.8918355Z + pip_install_whl dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T08:04:26.8919150Z + args=('dist/torchrec/torchrec-0.3.2-py3-none-any.whl') 2025-09-07T08:04:26.8919477Z + local args 2025-09-07T08:04:26.8919763Z + [[ dist/torchrec/torchrec-0.3.2-py3-none-any.whl == *\ * ]] 2025-09-07T08:04:26.8920130Z + for path in "${args[@]}" 2025-09-07T08:04:26.8920467Z + echo 'Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl' 2025-09-07T08:04:26.8920915Z Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T08:04:26.8921434Z + python3 -mpip install --no-index --no-deps dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T08:04:27.2697422Z Processing ./dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T08:04:27.2763386Z Installing collected packages: torchrec 2025-09-07T08:04:27.5717761Z Successfully installed torchrec-0.3.2 2025-09-07T08:04:27.6105530Z + pip_build_and_install git+https://github.com/pytorch/FBGEMM.git@de731af65b4f04696e85c729e3282450b51b95fd#subdirectory=fbgemm_gpu dist/fbgemm_gpu 2025-09-07T08:04:27.6106607Z + local build_target=git+https://github.com/pytorch/FBGEMM.git@de731af65b4f04696e85c729e3282450b51b95fd#subdirectory=fbgemm_gpu 2025-09-07T08:04:27.6107243Z + local wheel_dir=dist/fbgemm_gpu 2025-09-07T08:04:27.6107548Z + local found_whl=0 2025-09-07T08:04:27.6107779Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:04:27.6108192Z + [[ -f dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T08:04:27.6108599Z + found_whl=1 2025-09-07T08:04:27.6108804Z + break 2025-09-07T08:04:27.6108985Z + '[' 1 == 0 ']' 2025-09-07T08:04:27.6109216Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:04:27.6109667Z + pip_install_whl dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T08:04:27.6110252Z + args=('dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl') 2025-09-07T08:04:27.6110649Z + local args 2025-09-07T08:04:27.6111002Z + [[ dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T08:04:27.6111434Z + for path in "${args[@]}" 2025-09-07T08:04:27.6111855Z + echo 'Installing dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl' 2025-09-07T08:04:27.6112458Z Installing dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T08:04:27.6113512Z + python3 -mpip install --no-index --no-deps dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T08:04:27.9877168Z Processing ./dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T08:04:28.0792106Z Installing collected packages: fbgemm-gpu 2025-09-07T08:04:29.9402861Z Successfully installed fbgemm-gpu-0.4.1.post421 2025-09-07T08:04:29.9784207Z + PYTHONPATH=/torchbench 2025-09-07T08:04:29.9784520Z + test_dynamo_benchmark torchbench 1 2025-09-07T08:04:29.9788744Z ++ pwd 2025-09-07T08:04:29.9791988Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:04:29.9792418Z + local suite=torchbench 2025-09-07T08:04:29.9792647Z + shift 2025-09-07T08:04:29.9792838Z + local shard_id=1 2025-09-07T08:04:29.9793047Z + shift 2025-09-07T08:04:29.9793271Z + [[ inductor_torchbench == *perf_compare* ]] 2025-09-07T08:04:29.9793605Z + [[ inductor_torchbench == *perf* ]] 2025-09-07T08:04:29.9802401Z + [[ inductor_torchbench == *cpu* ]] 2025-09-07T08:04:29.9802825Z + [[ inductor_torchbench == *aot_inductor* ]] 2025-09-07T08:04:29.9803178Z + [[ inductor_torchbench == *max_autotune_inductor* ]] 2025-09-07T08:04:29.9803643Z + test_single_dynamo_benchmark inference torchbench 1 --inference --bfloat16 2025-09-07T08:04:29.9804057Z ++ pwd 2025-09-07T08:04:29.9804445Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:04:29.9804871Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:04:29.9842378Z + local name=inference 2025-09-07T08:04:29.9842685Z + shift 2025-09-07T08:04:29.9842927Z + local suite=torchbench 2025-09-07T08:04:29.9843229Z + shift 2025-09-07T08:04:29.9843417Z + local shard_id=1 2025-09-07T08:04:29.9843619Z + shift 2025-09-07T08:04:29.9843811Z + partition_flags=() 2025-09-07T08:04:29.9844037Z + local partition_flags 2025-09-07T08:04:29.9844261Z + [[ -n 2 ]] 2025-09-07T08:04:29.9844556Z + [[ -n 1 ]] 2025-09-07T08:04:29.9844928Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T08:04:29.9845409Z + [[ inductor_torchbench == *perf_compare* ]] 2025-09-07T08:04:29.9845723Z + [[ inductor_torchbench == *perf* ]] 2025-09-07T08:04:29.9846013Z + [[ inductor_torchbench == *_avx2* ]] 2025-09-07T08:04:29.9846304Z + [[ inductor_torchbench == *_avx512* ]] 2025-09-07T08:04:29.9847788Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cuda --inference --bfloat16 --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv 2025-09-07T08:04:30.5685450Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:04:30.5687073Z import pynvml # type: ignore[import] 2025-09-07T08:04:33.9509699Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:04:33.9511348Z import pynvml # type: ignore[import] 2025-09-07T08:04:36.6317387Z 2025-09-07T08:04:37.2025549Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:04:37.2025880Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:04:37.2026181Z cuda eval llama_v2_7b_16h 2025-09-07T08:04:37.2033568Z Traceback (most recent call last): 2025-09-07T08:04:37.2034261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T08:04:37.2034849Z ) = runner.load_model( 2025-09-07T08:04:37.2035363Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 332, in load_model 2025-09-07T08:04:37.2036166Z benchmark = benchmark_cls( 2025-09-07T08:04:37.2036555Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-09-07T08:04:37.2037037Z obj = type.__call__(cls, *args, **kwargs) 2025-09-07T08:04:37.2037554Z File "/torchbench/torchbenchmark/models/llama_v2_7b_16h/__init__.py", line 16, in __init__ 2025-09-07T08:04:37.2038017Z super().__init__( 2025-09-07T08:04:37.2038510Z File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__ 2025-09-07T08:04:37.2039035Z super().__init__( 2025-09-07T08:04:37.2039379Z File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__ 2025-09-07T08:04:37.2039786Z self._skip_by_device_name() 2025-09-07T08:04:37.2040217Z File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name 2025-09-07T08:04:37.2040679Z raise NotImplementedError( 2025-09-07T08:04:37.2041170Z NotImplementedError: The current device NVIDIA A10G is skipped by its `llama_v2_7b_16h/metadata.yaml`. 2025-09-07T08:04:37.2041603Z 2025-09-07T08:04:37.2041685Z model_fail_to_load 2025-09-07T08:04:38.9690440Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:04:38.9692135Z import pynvml # type: ignore[import] 2025-09-07T08:04:41.6164921Z 2025-09-07T08:04:42.1526438Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:04:42.1526759Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:04:42.1527063Z cuda eval llava 2025-09-07T08:04:42.1533439Z Traceback (most recent call last): 2025-09-07T08:04:42.1533916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T08:04:42.1534375Z ) = runner.load_model( 2025-09-07T08:04:42.1534831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 332, in load_model 2025-09-07T08:04:42.1535351Z benchmark = benchmark_cls( 2025-09-07T08:04:42.1535726Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-09-07T08:04:42.1536149Z obj = type.__call__(cls, *args, **kwargs) 2025-09-07T08:04:42.1536602Z File "/torchbench/torchbenchmark/models/llava/__init__.py", line 12, in __init__ 2025-09-07T08:04:42.1537036Z super().__init__( 2025-09-07T08:04:42.1538174Z File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__ 2025-09-07T08:04:42.1538702Z super().__init__( 2025-09-07T08:04:42.1539055Z File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__ 2025-09-07T08:04:42.1539461Z self._skip_by_device_name() 2025-09-07T08:04:42.1539891Z File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name 2025-09-07T08:04:42.1540349Z raise NotImplementedError( 2025-09-07T08:04:42.1540819Z NotImplementedError: The current device NVIDIA A10G is skipped by its `llava/metadata.yaml`. 2025-09-07T08:04:42.1541218Z 2025-09-07T08:04:42.1541304Z model_fail_to_load 2025-09-07T08:04:43.6421657Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:04:43.6423303Z import pynvml # type: ignore[import] 2025-09-07T08:04:46.2804982Z 2025-09-07T08:04:47.7754900Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:04:47.7755242Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:04:47.7761536Z cuda eval maml 2025-09-07T08:04:47.8013541Z Compilation time (from dynamo_timed): 0 2025-09-07T08:04:47.8014026Z pass_due_to_skip 2025-09-07T08:04:47.8021907Z TIMING: total_wall_time:0 2025-09-07T08:04:47.8022264Z STATS: call_* op count: 0 2025-09-07T08:04:47.8022905Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-09-07T08:04:49.6186662Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:04:49.6188308Z import pynvml # type: ignore[import] 2025-09-07T08:04:52.2577370Z 2025-09-07T08:04:52.9301781Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:04:52.9302104Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:04:52.9308024Z cuda eval maml_omniglot 2025-09-07T08:04:59.0109719Z Compilation time (from dynamo_timed): 4.790858115 2025-09-07T08:04:59.0110091Z pass 2025-09-07T08:04:59.0111444Z TIMING: _recursive_pre_grad_passes:0.00407 pad_mm_benchmark:0.07054 _recursive_joint_graph_passes:0.38812 _recursive_post_grad_passes:0.02632 async_compile.precompile:0.73419 async_compile.wait:0.43866 code_gen:2.05624 inductor_compile:2.30174 backend_compile:4.38856 gc:0.0001 entire_frame_compile:4.79086 cudagraphify.get_container:0.00262 CUDAGraphNode.record:0.00184 total_wall_time:4.79086 2025-09-07T08:04:59.0113277Z STATS: call_* op count: 14 | FakeTensorMode.__torch_dispatch__:1363 | FakeTensor.__torch_dispatch__:444 | ProxyTorchDispatchMode.__torch_dispatch__:331 2025-09-07T08:04:59.0114050Z Dynamo produced 1 graphs covering 14 ops with 0 graph breaks (0 unique) 2025-09-07T08:05:01.8705203Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:05:01.8706887Z import pynvml # type: ignore[import] 2025-09-07T08:05:04.5419591Z 2025-09-07T08:05:04.8547518Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:05:04.8547929Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:05:04.8548268Z cuda eval microbench_unbacked_tolist_sum 2025-09-07T08:05:10.5763568Z W0907 08:05:10.575000 583 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T08:05:10.5764615Z W0907 08:05:10.575000 583 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T08:05:10.5765870Z W0907 08:05:10.575000 583 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or: 2025-09-07T08:05:10.5766610Z W0907 08:05:10.575000 583 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T08:05:10.5767483Z W0907 08:05:10.575000 583 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph. 2025-09-07T08:05:10.5768222Z W0907 08:05:10.575000 583 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-09-07T08:05:10.5768901Z W0907 08:05:10.575000 583 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at: 2025-09-07T08:05:10.5769941Z W0907 08:05:10.575000 583 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:10.5770928Z W0907 08:05:10.575000 583 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] return mod(*inputs) 2025-09-07T08:05:10.5771962Z W0907 08:05:10.575000 583 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] File "/torchbench/torchbenchmark/models/microbench_unbacked_tolist_sum/__init__.py", line 18, in forward 2025-09-07T08:05:10.5772975Z W0907 08:05:10.575000 583 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] sum += tv[i].item() 2025-09-07T08:05:10.5773621Z W0907 08:05:10.575000 583 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-09-07T08:05:10.5774177Z W0907 08:05:10.575000 583 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-09-07T08:05:13.9917981Z Compilation time (from dynamo_timed): 7.904820168 2025-09-07T08:05:13.9918561Z pass 2025-09-07T08:05:13.9918872Z TIMING: gc:0.00162 entire_frame_compile:7.90482 total_wall_time:7.90482 2025-09-07T08:05:13.9919456Z STATS: call_* op count: 0 | FakeTensor.__torch_dispatch__:3004 | FakeTensorMode.__torch_dispatch__:11008 2025-09-07T08:05:13.9920102Z Dynamo produced 0 graphs covering 0 ops with 1 graph breaks (1 unique) 2025-09-07T08:05:16.3551411Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:05:16.3553052Z import pynvml # type: ignore[import] 2025-09-07T08:05:19.0059803Z 2025-09-07T08:05:19.2509332Z 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 2025-09-07T08:05:19.2662055Z 2025-09-07T08:05:19.2662088Z 2025-09-07T08:05:19.3083645Z 0% 0.00/16.9M [00:00 will be ignored 2025-09-07T08:06:49.1567682Z [rank0]:W0907 08:06:49.155000 2337 site-packages/torch/_dynamo/backends/distributed.py:109] [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. 2025-09-07T08:06:49.1827982Z [rank0]:W0907 08:06:49.182000 2337 site-packages/torch/_dynamo/backends/distributed.py:126] [4/0_1] DDPOptimizer extended these buckets to ensure per-subgraph output nodes: 2025-09-07T08:06:49.1829814Z [rank0]:W0907 08:06:49.182000 2337 site-packages/torch/_dynamo/backends/distributed.py:126] [4/0_1] ┌─────────┬─────────────┬────────────────────────┐ 2025-09-07T08:06:49.1830876Z [rank0]:W0907 08:06:49.182000 2337 site-packages/torch/_dynamo/backends/distributed.py:126] [4/0_1] │ Index │ Extra Ops │ Extra Param Size (b) │ 2025-09-07T08:06:49.1831966Z [rank0]:W0907 08:06:49.182000 2337 site-packages/torch/_dynamo/backends/distributed.py:126] [4/0_1] ├─────────┼─────────────┼────────────────────────┤ 2025-09-07T08:06:49.1832993Z [rank0]:W0907 08:06:49.182000 2337 site-packages/torch/_dynamo/backends/distributed.py:126] [4/0_1] │ 0 │ 470 │ 44910720 │ 2025-09-07T08:06:49.1834044Z [rank0]:W0907 08:06:49.182000 2337 site-packages/torch/_dynamo/backends/distributed.py:126] [4/0_1] └─────────┴─────────────┴────────────────────────┘ 2025-09-07T08:07:10.9935861Z [rank0]:W0907 08:07:10.992000 2337 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T08:07:10.9936910Z [rank0]:W0907 08:07:10.992000 2337 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T08:07:10.9937760Z [rank0]:W0907 08:07:10.992000 2337 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] or: 2025-09-07T08:07:10.9938646Z [rank0]:W0907 08:07:10.992000 2337 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T08:07:10.9939560Z [rank0]:W0907 08:07:10.992000 2337 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] to include these operations in the captured graph. 2025-09-07T08:07:10.9940331Z [rank0]:W0907 08:07:10.992000 2337 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] 2025-09-07T08:07:10.9941042Z [rank0]:W0907 08:07:10.992000 2337 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] Graph break: from user code at: 2025-09-07T08:07:10.9942175Z [rank0]:W0907 08:07:10.992000 2337 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 2025-09-07T08:07:10.9943301Z [rank0]:W0907 08:07:10.992000 2337 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] self._dequeue_and_enqueue(k) 2025-09-07T08:07:10.9944801Z [rank0]:W0907 08:07:10.992000 2337 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 2025-09-07T08:07:10.9945962Z [rank0]:W0907 08:07:10.992000 2337 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] return func(*args, **kwargs) 2025-09-07T08:07:10.9947022Z [rank0]:W0907 08:07:10.992000 2337 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 68, in _dequeue_and_enqueue 2025-09-07T08:07:10.9948086Z [rank0]:W0907 08:07:10.992000 2337 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] ptr = int(self.queue_ptr) 2025-09-07T08:07:10.9948788Z [rank0]:W0907 08:07:10.992000 2337 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] 2025-09-07T08:07:10.9949385Z [rank0]:W0907 08:07:10.992000 2337 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] 2025-09-07T08:07:27.8741566Z Compilation time (from dynamo_timed): 49.087018237 2025-09-07T08:07:27.8741923Z pass 2025-09-07T08:07:27.8763866Z TIMING: gc:0.00497 entire_frame_compile:49.08702 _recursive_pre_grad_passes:0.10716 _recursive_joint_graph_passes:0.42341 _recursive_post_grad_passes:0.49599 async_compile.wait:0.57666 code_gen:7.30285 inductor_compile:14.24448 pad_mm_benchmark:0.06652 backend_compile:24.95339 cudagraphify.get_container:0.00151 CUDAGraphNode.record:0.01857 total_wall_time:49.08702 2025-09-07T08:07:27.8765748Z STATS: call_* op count: 877 | FakeTensorMode.__torch_dispatch__:32013 | FakeTensor.__torch_dispatch__:19429 | ProxyTorchDispatchMode.__torch_dispatch__:11916 2025-09-07T08:07:27.8766793Z Dynamo produced 7 graphs covering 877 ops with 7 graph breaks (4 unique) 2025-09-07T08:07:29.6948072Z [rank0]:[W907 08:07:29.672379193 ProcessGroupNCCL.cpp:1524] 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()) 2025-09-07T08:07:32.5212015Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:07:32.5213651Z import pynvml # type: ignore[import] 2025-09-07T08:07:35.1828691Z 2025-09-07T08:07:35.7126681Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:07:35.7127030Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:07:35.7127358Z cuda eval moondream 2025-09-07T08:07:35.7133908Z Traceback (most recent call last): 2025-09-07T08:07:35.7134403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T08:07:35.7134865Z ) = runner.load_model( 2025-09-07T08:07:35.7135325Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 332, in load_model 2025-09-07T08:07:35.7135835Z benchmark = benchmark_cls( 2025-09-07T08:07:35.7136218Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-09-07T08:07:35.7136642Z obj = type.__call__(cls, *args, **kwargs) 2025-09-07T08:07:35.7137118Z File "/torchbench/torchbenchmark/models/moondream/__init__.py", line 12, in __init__ 2025-09-07T08:07:35.7137565Z super().__init__( 2025-09-07T08:07:35.7138047Z File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__ 2025-09-07T08:07:35.7138567Z super().__init__( 2025-09-07T08:07:35.7138928Z File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__ 2025-09-07T08:07:35.7139335Z self._skip_by_device_name() 2025-09-07T08:07:35.7139759Z File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name 2025-09-07T08:07:35.7140224Z raise NotImplementedError( 2025-09-07T08:07:35.7140988Z NotImplementedError: The current device NVIDIA A10G is skipped by its `moondream/metadata.yaml`. 2025-09-07T08:07:35.7141393Z 2025-09-07T08:07:35.7141484Z model_fail_to_load 2025-09-07T08:07:38.1935954Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:07:38.1937598Z import pynvml # type: ignore[import] 2025-09-07T08:07:40.8408904Z 2025-09-07T08:07:42.7288531Z loading model: 0it [00:00, ?it/s]number of parameters: 123.69M 2025-09-07T08:07:42.9700657Z num decayed parameter tensors: 50, with 124,354,560 parameters 2025-09-07T08:07:42.9701509Z num non-decayed parameter tensors: 98, with 121,344 parameters 2025-09-07T08:07:42.9702190Z using fused AdamW: True 2025-09-07T08:07:43.3131531Z 2025-09-07T08:07:43.3131700Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:07:43.3171056Z cuda eval nanogpt 2025-09-07T08:07:54.2249392Z Compilation time (from dynamo_timed): 9.335836282 2025-09-07T08:07:54.2249751Z pass 2025-09-07T08:07:54.2252622Z TIMING: _recursive_pre_grad_passes:0.009 pad_mm_benchmark:0.11486 _recursive_joint_graph_passes:0.52225 _recursive_post_grad_passes:0.609 async_compile.wait:0.22502 code_gen:1.59148 inductor_compile:3.85335 backend_compile:7.17907 gc:0.00145 entire_frame_compile:9.33584 cudagraphify.get_container:0.00308 CUDAGraphNode.record:0.00912 total_wall_time:9.33584 2025-09-07T08:07:54.2254319Z STATS: call_* op count: 393 | FakeTensorMode.__torch_dispatch__:12940 | FakeTensor.__torch_dispatch__:4749 | ProxyTorchDispatchMode.__torch_dispatch__:4659 2025-09-07T08:07:54.2255350Z Dynamo produced 1 graphs covering 393 ops with 0 graph breaks (0 unique) 2025-09-07T08:07:57.0932638Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:07:57.0934281Z import pynvml # type: ignore[import] 2025-09-07T08:07:59.7525228Z 2025-09-07T08:08:02.2287534Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:02.2287879Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:08:02.2291749Z cuda eval nvidia_deeprecommender 2025-09-07T08:08:06.4391689Z Compilation time (from dynamo_timed): 2.887670918 2025-09-07T08:08:06.4392046Z pass 2025-09-07T08:08:06.4408388Z TIMING: _recursive_pre_grad_passes:0.00364 pad_mm_benchmark:0.46348 _recursive_joint_graph_passes:0.78737 _recursive_post_grad_passes:0.08628 async_compile.precompile:0.37065 async_compile.wait:0.00017 code_gen:0.51941 inductor_compile:0.7757 backend_compile:2.59901 gc:0.00177 entire_frame_compile:2.88767 cudagraphify.get_container:0.00535 CUDAGraphNode.record:0.00174 total_wall_time:2.88767 2025-09-07T08:08:06.4410295Z STATS: call_* op count: 13 | FakeTensorMode.__torch_dispatch__:1211 | ProxyTorchDispatchMode.__torch_dispatch__:356 | FakeTensor.__torch_dispatch__:411 2025-09-07T08:08:06.4411072Z Dynamo produced 1 graphs covering 13 ops with 0 graph breaks (0 unique) 2025-09-07T08:08:09.5313350Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:08:09.5315100Z import pynvml # type: ignore[import] 2025-09-07T08:08:12.1582193Z 2025-09-07T08:08:13.1926722Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:13.1927074Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:08:13.1947451Z cuda eval opacus_cifar10 2025-09-07T08:08:21.9848737Z Compilation time (from dynamo_timed): 7.188705248 2025-09-07T08:08:21.9849123Z pass 2025-09-07T08:08:21.9860649Z TIMING: _recursive_pre_grad_passes:0.005 pad_mm_benchmark:0.06946 _recursive_joint_graph_passes:0.2896 _recursive_post_grad_passes:0.06767 async_compile.wait:0.06754 code_gen:2.08527 inductor_compile:3.13069 backend_compile:5.38155 gc:0.00068 entire_frame_compile:7.18871 cudagraphify.get_container:0.00226 CUDAGraphNode.record:0.00344 total_wall_time:7.18871 2025-09-07T08:08:21.9862364Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:3778 | FakeTensor.__torch_dispatch__:2299 | ProxyTorchDispatchMode.__torch_dispatch__:1401 2025-09-07T08:08:21.9863139Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique) 2025-09-07T08:08:25.1290604Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:08:25.1292260Z import pynvml # type: ignore[import] 2025-09-07T08:08:27.7832828Z 2025-09-07T08:08:28.5495539Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:28.5495875Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:28.5564668Z cuda eval phlippe_densenet 2025-09-07T08:08:44.8503127Z Compilation time (from dynamo_timed): 14.838550189 2025-09-07T08:08:44.8503481Z pass 2025-09-07T08:08:44.8504747Z TIMING: _recursive_pre_grad_passes:0.00879 pad_mm_benchmark:0.06392 _recursive_joint_graph_passes:0.4813 _recursive_post_grad_passes:0.18297 async_compile.wait:0.03744 code_gen:3.86085 inductor_compile:6.33805 backend_compile:10.67661 gc:0.00066 entire_frame_compile:14.83855 cudagraphify.get_container:0.00249 CUDAGraphNode.record:0.0067 total_wall_time:14.83855 2025-09-07T08:08:44.8506917Z STATS: call_* op count: 186 | FakeTensorMode.__torch_dispatch__:11804 | FakeTensor.__torch_dispatch__:6779 | ProxyTorchDispatchMode.__torch_dispatch__:4308 2025-09-07T08:08:44.8507705Z Dynamo produced 1 graphs covering 186 ops with 0 graph breaks (0 unique) 2025-09-07T08:08:47.9800006Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:08:47.9801752Z import pynvml # type: ignore[import] 2025-09-07T08:08:50.6232575Z 2025-09-07T08:08:51.2366579Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:51.2366926Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:51.2392571Z cuda eval phlippe_resnet 2025-09-07T08:08:58.1505128Z Compilation time (from dynamo_timed): 5.627785283 2025-09-07T08:08:58.1505646Z pass 2025-09-07T08:08:58.1506972Z TIMING: _recursive_pre_grad_passes:0.00558 pad_mm_benchmark:0.06886 _recursive_joint_graph_passes:0.25018 _recursive_post_grad_passes:0.07594 async_compile.wait:0.24533 code_gen:1.15589 inductor_compile:2.04869 backend_compile:4.23463 gc:0.00015 entire_frame_compile:5.62779 cudagraphify.get_container:0.00285 CUDAGraphNode.record:0.00315 total_wall_time:5.62779 2025-09-07T08:08:58.1508674Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:4410 | FakeTensor.__torch_dispatch__:2516 | ProxyTorchDispatchMode.__torch_dispatch__:1636 2025-09-07T08:08:58.1509436Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique) 2025-09-07T08:09:00.8704884Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:09:00.8706571Z import pynvml # type: ignore[import] 2025-09-07T08:09:03.5275857Z 2025-09-07T08:09:03.8957085Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:09:03.8957722Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:09:03.8958161Z cuda eval pyhpc_equation_of_state 2025-09-07T08:09:09.8022176Z Compilation time (from dynamo_timed): 4.778104068 2025-09-07T08:09:09.8022639Z pass 2025-09-07T08:09:09.8024270Z TIMING: _recursive_pre_grad_passes:0.00726 _recursive_joint_graph_passes:0.3254 _recursive_post_grad_passes:0.08229 async_compile.wait:0.51448 code_gen:1.77441 inductor_compile:2.54522 backend_compile:4.35165 gc:0.00087 entire_frame_compile:4.7781 cudagraphify.get_container:0.00256 CUDAGraphNode.record:0.00085 total_wall_time:4.7781 2025-09-07T08:09:09.8025903Z STATS: call_* op count: 366 | FakeTensorMode.__torch_dispatch__:4895 | ProxyTorchDispatchMode.__torch_dispatch__:1889 | FakeTensor.__torch_dispatch__:3037 2025-09-07T08:09:09.8026698Z Dynamo produced 1 graphs covering 366 ops with 0 graph breaks (0 unique) 2025-09-07T08:09:12.4528411Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:09:12.4530080Z import pynvml # type: ignore[import] 2025-09-07T08:09:15.0987937Z 2025-09-07T08:09:15.4338495Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:09:15.4338853Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:09:15.4342021Z cuda eval pyhpc_isoneutral_mixing 2025-09-07T08:09:27.1600556Z skipping cudagraphs due to mutated inputs (7 instances). Found from : 2025-09-07T08:09:27.1601239Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:09:27.1601756Z return mod(*inputs) 2025-09-07T08:09:27.1602244Z File "/torchbench/torchbenchmark/models/pyhpc_isoneutral_mixing/__init__.py", line 100, in forward 2025-09-07T08:09:27.1603251Z return isoneutral_pytorch.isoneutral_diffusion_pre( 2025-09-07T08:09:27.1603939Z File "/torchbench/torchbenchmark/models/pyhpc_isoneutral_mixing/isoneutral_pytorch.py", line 164, in isoneutral_diffusion_pre 2025-09-07T08:09:27.1604768Z Ai_ez[1:-2, 2:-2, ki:, ip, kr] = taper * sxe * maskU[1:-2, 2:-2, ki:] 2025-09-07T08:09:27.1605043Z 2025-09-07T08:09:27.1889778Z Compilation time (from dynamo_timed): 10.639144512 2025-09-07T08:09:27.1890136Z pass 2025-09-07T08:09:27.1891214Z TIMING: _recursive_pre_grad_passes:0.01166 _recursive_joint_graph_passes:0.26217 _recursive_post_grad_passes:1.26461 async_compile.wait:0.28449 code_gen:1.10579 inductor_compile:4.93485 backend_compile:9.34919 gc:0.00027 entire_frame_compile:10.63914 cudagraphify.get_container:0.00215 total_wall_time:10.63914 2025-09-07T08:09:27.1892746Z STATS: call_* op count: 744 | FakeTensorMode.__torch_dispatch__:21243 | FakeTensor.__torch_dispatch__:7496 | ProxyTorchDispatchMode.__torch_dispatch__:6191 2025-09-07T08:09:27.1893533Z Dynamo produced 1 graphs covering 744 ops with 0 graph breaks (0 unique) 2025-09-07T08:09:30.0983090Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:09:30.0984740Z import pynvml # type: ignore[import] 2025-09-07T08:09:32.7505409Z 2025-09-07T08:09:33.5204832Z loading model: 0it [00:00, ?it/s]WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead 2025-09-07T08:09:33.6448569Z 2025-09-07T08:09:33.6448911Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:09:33.6449450Z WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead 2025-09-07T08:09:33.6450034Z cuda eval pyhpc_turbulent_kinetic_energy 2025-09-07T08:09:33.6899004Z WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead 2025-09-07T08:09:53.7374980Z Compilation time (from dynamo_timed): 18.877914937 2025-09-07T08:09:53.7376960Z pass 2025-09-07T08:09:53.7436769Z TIMING: _recursive_pre_grad_passes:0.01431 _recursive_joint_graph_passes:0.24304 _recursive_post_grad_passes:1.21224 async_compile.wait:0.34245 code_gen:8.28328 inductor_compile:12.70747 backend_compile:17.23184 gc:0.00079 entire_frame_compile:18.87791 cudagraphify.get_container:0.00355 CUDAGraphNode.record:0.00232 total_wall_time:18.87791 2025-09-07T08:09:53.7438437Z STATS: call_* op count: 996 | FakeTensorMode.__torch_dispatch__:22136 | FakeTensor.__torch_dispatch__:7290 | ProxyTorchDispatchMode.__torch_dispatch__:6254 2025-09-07T08:09:53.7439216Z Dynamo produced 1 graphs covering 996 ops with 0 graph breaks (0 unique) 2025-09-07T08:09:56.9108924Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:09:56.9110701Z import pynvml # type: ignore[import] 2025-09-07T08:09:59.5788757Z 2025-09-07T08:10:00.3852308Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:10:00.3852675Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:10:00.3865478Z cuda eval pytorch_CycleGAN_and_pix2pix 2025-09-07T08:10:11.4978411Z Compilation time (from dynamo_timed): 7.357222043 2025-09-07T08:10:11.4978782Z pass 2025-09-07T08:10:11.4987102Z TIMING: _recursive_pre_grad_passes:0.00541 _recursive_joint_graph_passes:0.37478 _recursive_post_grad_passes:0.09114 async_compile.wait:0.37106 code_gen:2.57863 inductor_compile:3.89427 backend_compile:6.09684 gc:0.00098 entire_frame_compile:7.35722 cudagraphify.get_container:0.00204 CachingAutotuner.benchmark_all_configs:0.34988 CUDAGraphNode.record:0.0038 total_wall_time:7.35722 2025-09-07T08:10:11.4989376Z STATS: call_* op count: 91 | FakeTensorMode.__torch_dispatch__:4911 | FakeTensor.__torch_dispatch__:2703 | ProxyTorchDispatchMode.__torch_dispatch__:2004 2025-09-07T08:10:11.4990154Z Dynamo produced 1 graphs covering 91 ops with 0 graph breaks (0 unique) 2025-09-07T08:10:14.3050062Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:10:14.3051831Z import pynvml # type: ignore[import] 2025-09-07T08:10:16.9347629Z 2025-09-07T08:10:18.0781169Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:10:18.0781494Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:10:18.0806796Z cuda eval pytorch_stargan 2025-09-07T08:10:34.9764088Z Compilation time (from dynamo_timed): 7.47054367 2025-09-07T08:10:34.9764590Z pass 2025-09-07T08:10:34.9779229Z TIMING: _recursive_pre_grad_passes:0.00537 _recursive_joint_graph_passes:0.43179 _recursive_post_grad_passes:0.07982 async_compile.wait:0.37482 code_gen:2.39114 inductor_compile:3.56743 backend_compile:6.15201 gc:0.0002 entire_frame_compile:7.47054 cudagraphify.get_container:0.00426 CUDAGraphNode.record:0.00302 total_wall_time:7.47054 2025-09-07T08:10:34.9780867Z STATS: call_* op count: 56 | FakeTensorMode.__torch_dispatch__:6854 | FakeTensor.__torch_dispatch__:2853 | ProxyTorchDispatchMode.__torch_dispatch__:2542 2025-09-07T08:10:34.9781643Z Dynamo produced 1 graphs covering 56 ops with 0 graph breaks (0 unique) 2025-09-07T08:10:37.7589267Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:10:37.7590958Z import pynvml # type: ignore[import] 2025-09-07T08:10:40.4090150Z 2025-09-07T08:10:41.2214203Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:10:41.2214538Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:10:41.2236874Z cuda eval pytorch_unet 2025-09-07T08:11:00.7331192Z Compilation time (from dynamo_timed): 8.869166867 2025-09-07T08:11:00.7331550Z pass 2025-09-07T08:11:00.7362359Z TIMING: _recursive_pre_grad_passes:0.00673 _recursive_joint_graph_passes:0.19074 _recursive_post_grad_passes:0.09584 async_compile.wait:0.3069 code_gen:3.36698 inductor_compile:4.65874 backend_compile:7.21152 gc:0.00086 entire_frame_compile:8.86917 cudagraphify.get_container:0.00232 CachingAutotuner.benchmark_all_configs:1.70652 CUDAGraphNode.record:0.0033 total_wall_time:8.86917 2025-09-07T08:11:00.7364199Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:6674 | FakeTensor.__torch_dispatch__:3346 | ProxyTorchDispatchMode.__torch_dispatch__:2438 2025-09-07T08:11:00.7365159Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique) 2025-09-07T08:11:03.6693517Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:11:03.6695432Z import pynvml # type: ignore[import] 2025-09-07T08:11:06.3482335Z 2025-09-07T08:11:07.1679039Z 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 2025-09-07T08:11:07.1826930Z 2025-09-07T08:11:07.1826938Z 2025-09-07T08:11:07.2830969Z 0% 0.00/230M [00:00 2025-09-07T08:29:33.0508799Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T08:29:33.0509152Z 2025-09-07T08:29:33.0509328Z cudagraph partition due to DeviceCopy ops. Found from : 2025-09-07T08:29:33.0509971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-09-07T08:29:33.0510583Z anchors = self.anchor_generator(images, features) 2025-09-07T08:29:33.0511229Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward 2025-09-07T08:29:33.0511881Z cell_anchors = self.set_cell_anchors(dtype, device) 2025-09-07T08:29:33.0512563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-09-07T08:29:33.0513513Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T08:29:33.0514281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-09-07T08:29:33.0515080Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T08:29:33.0515462Z 2025-09-07T08:29:33.0515627Z cudagraph partition due to DeviceCopy ops. Found from : 2025-09-07T08:29:33.0516259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-09-07T08:29:33.0516873Z anchors = self.anchor_generator(images, features) 2025-09-07T08:29:33.0517512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward 2025-09-07T08:29:33.0518163Z cell_anchors = self.set_cell_anchors(dtype, device) 2025-09-07T08:29:33.0519025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-09-07T08:29:33.0519822Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T08:29:33.0520604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-09-07T08:29:33.0521366Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T08:29:33.0521721Z 2025-09-07T08:29:33.0521885Z cudagraph partition due to DeviceCopy ops. Found from : 2025-09-07T08:29:33.0522517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-09-07T08:29:33.0523132Z anchors = self.anchor_generator(images, features) 2025-09-07T08:29:33.0523778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward 2025-09-07T08:29:33.0524487Z cell_anchors = self.set_cell_anchors(dtype, device) 2025-09-07T08:29:33.0525170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-09-07T08:29:33.0525967Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T08:29:33.0526876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-09-07T08:29:33.0527647Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T08:29:33.0527994Z 2025-09-07T08:29:33.0528158Z cudagraph partition due to DeviceCopy ops. Found from : 2025-09-07T08:29:33.0528793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-09-07T08:29:33.0529411Z anchors = self.anchor_generator(images, features) 2025-09-07T08:29:33.0530057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward 2025-09-07T08:29:33.0530708Z cell_anchors = self.set_cell_anchors(dtype, device) 2025-09-07T08:29:33.0531382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-09-07T08:29:33.0532187Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T08:29:33.0532960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-09-07T08:29:33.0533734Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T08:29:33.0534082Z 2025-09-07T08:29:33.0712580Z cudagraph partition into 2 partitions 2025-09-07T08:29:35.4958657Z W0907 08:29:35.494000 29133 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T08:29:35.4959968Z W0907 08:29:35.494000 29133 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T08:29:35.4960744Z W0907 08:29:35.494000 29133 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] or: 2025-09-07T08:29:35.4961493Z W0907 08:29:35.494000 29133 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T08:29:35.4962396Z W0907 08:29:35.494000 29133 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] to include these operations in the captured graph. 2025-09-07T08:29:35.4963140Z W0907 08:29:35.494000 29133 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] 2025-09-07T08:29:35.4963829Z W0907 08:29:35.494000 29133 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] Graph break: from user code at: 2025-09-07T08:29:35.4965183Z W0907 08:29:35.494000 29133 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 2025-09-07T08:29:35.4966755Z W0907 08:29:35.494000 29133 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] detections, detector_losses = self.roi_heads(features, proposals, images.image_sizes, targets) 2025-09-07T08:29:35.4968087Z W0907 08:29:35.494000 29133 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 2025-09-07T08:29:35.4969317Z W0907 08:29:35.494000 29133 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] box_features = self.box_roi_pool(features, proposals, image_shapes) 2025-09-07T08:29:35.4970482Z W0907 08:29:35.494000 29133 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 2025-09-07T08:29:35.4971587Z W0907 08:29:35.494000 29133 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] self.scales, self.map_levels = _setup_scales( 2025-09-07T08:29:35.4972865Z W0907 08:29:35.494000 29133 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 2025-09-07T08:29:35.4974071Z W0907 08:29:35.494000 29133 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] scales = [_infer_scale(feat, original_input_shape) for feat in features] 2025-09-07T08:29:35.4975262Z W0907 08:29:35.494000 29133 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 2025-09-07T08:29:35.4976446Z W0907 08:29:35.494000 29133 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] scales = [_infer_scale(feat, original_input_shape) for feat in features] 2025-09-07T08:29:35.4977642Z W0907 08:29:35.494000 29133 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 2025-09-07T08:29:35.4978801Z W0907 08:29:35.494000 29133 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] scale = 2 ** float(torch.tensor(approx_scale).log2().round()) 2025-09-07T08:29:35.4979570Z W0907 08:29:35.494000 29133 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] 2025-09-07T08:29:35.4980135Z W0907 08:29:35.494000 29133 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] 2025-09-07T08:29:35.9741658Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:29:35.9742655Z 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 2025-09-07T08:29:35.9743697Z lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item() 2025-09-07T08:29:35.9744006Z 2025-09-07T08:29:36.7422854Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:29:36.7423657Z 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 2025-09-07T08:29:36.7424500Z lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item() 2025-09-07T08:29:36.7424839Z 2025-09-07T08:30:49.6095608Z Compilation time (from dynamo_timed): 97.639910446 2025-09-07T08:30:49.6095972Z pass 2025-09-07T08:30:49.6117417Z TIMING: gc:0.03291 entire_frame_compile:97.63991 _recursive_pre_grad_passes:0.03085 _recursive_joint_graph_passes:0.56549 _recursive_post_grad_passes:0.37981 async_compile.wait:1.65665 code_gen:5.52597 inductor_compile:13.6797 backend_compile:24.56026 cudagraphify.get_container:0.01612 pad_mm_benchmark:0.00219 CUDAGraphNode.record:0.01172 total_wall_time:97.63991 2025-09-07T08:30:49.6119744Z STATS: call_* op count: 3077 | FakeTensor.__torch_dispatch__:25514 | FakeTensorMode.__torch_dispatch__:84396 | attempt fast:742 | fast is_contiguous:566 | slow both tensors nontrivially broadcast:176 | ProxyTorchDispatchMode.__torch_dispatch__:27130 2025-09-07T08:30:49.6120825Z Dynamo produced 19 graphs covering 1125 ops with 20 graph breaks (3 unique) 2025-09-07T08:30:56.2191001Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:30:56.2192882Z import pynvml # type: ignore[import] 2025-09-07T08:30:58.8969750Z 2025-09-07T08:31:01.0280308Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:31:01.0280645Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:31:01.0375411Z cuda eval yolov3 2025-09-07T08:31:22.4403256Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:31:22.4403845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:31:22.4404425Z return mod(*inputs) 2025-09-07T08:31:22.4404841Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-09-07T08:31:22.4405311Z return self.forward_once(x) 2025-09-07T08:31:22.4406154Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once 2025-09-07T08:31:22.4406645Z yolo_out.append(module(x, out)) 2025-09-07T08:31:22.4407098Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward 2025-09-07T08:31:22.4407602Z self.grid = self.create_grids((nx, ny), p.device) 2025-09-07T08:31:22.4408112Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids 2025-09-07T08:31:22.4408625Z self.ng = torch.tensor(ng, dtype=torch.float) 2025-09-07T08:31:22.4408868Z 2025-09-07T08:31:22.4409018Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:31:22.4409566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:31:22.4410058Z return mod(*inputs) 2025-09-07T08:31:22.4410466Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-09-07T08:31:22.4410928Z return self.forward_once(x) 2025-09-07T08:31:22.4411379Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once 2025-09-07T08:31:22.4411861Z yolo_out.append(module(x, out)) 2025-09-07T08:31:22.4412305Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward 2025-09-07T08:31:22.4412796Z self.grid = self.create_grids((nx, ny), p.device) 2025-09-07T08:31:22.4413298Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids 2025-09-07T08:31:22.4413805Z self.ng = torch.tensor(ng, dtype=torch.float) 2025-09-07T08:31:22.4414244Z 2025-09-07T08:31:22.4414398Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:31:22.4414940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:31:22.4415434Z return mod(*inputs) 2025-09-07T08:31:22.4415842Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-09-07T08:31:22.4416303Z return self.forward_once(x) 2025-09-07T08:31:22.4416756Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once 2025-09-07T08:31:22.4417280Z yolo_out.append(module(x, out)) 2025-09-07T08:31:22.4417724Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward 2025-09-07T08:31:22.4418221Z self.grid = self.create_grids((nx, ny), p.device) 2025-09-07T08:31:22.4418972Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids 2025-09-07T08:31:22.4419489Z self.ng = torch.tensor(ng, dtype=torch.float) 2025-09-07T08:31:22.4419711Z 2025-09-07T08:31:22.5565131Z cudagraph partition into 2 partitions 2025-09-07T08:31:39.0995859Z Compilation time (from dynamo_timed): 32.143982811 2025-09-07T08:31:39.0996349Z pass 2025-09-07T08:31:39.1121559Z TIMING: _recursive_pre_grad_passes:0.01993 _recursive_joint_graph_passes:0.30392 _recursive_post_grad_passes:0.36294 async_compile.wait:1.73803 code_gen:8.50818 inductor_compile:12.46751 backend_compile:20.73776 gc:0.00185 entire_frame_compile:32.14398 cudagraphify.get_container:0.00221 total_wall_time:32.14398 2025-09-07T08:31:39.1123921Z STATS: call_* op count: 670 | FakeTensorMode.__torch_dispatch__:18496 | FakeTensor.__torch_dispatch__:11131 | ProxyTorchDispatchMode.__torch_dispatch__:7048 2025-09-07T08:31:39.1125192Z Dynamo produced 2 graphs covering 670 ops with 0 graph breaks (0 unique) 2025-09-07T08:31:42.1929130Z accuracy pass_rate=82.61% 2025-09-07T08:31:42.1933285Z calls_captured gmean=0.00x mean=296.348x 2025-09-07T08:31:42.1937189Z unique_graphs gmean=0.00x mean=1.500x 2025-09-07T08:31:42.1941309Z graph_breaks gmean=0.00x mean=0.870x 2025-09-07T08:31:42.1945436Z unique_graph_breaks gmean=0.00x mean=0.239x 2025-09-07T08:31:42.1949388Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:31:42.1953480Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:31:42.1957585Z cudagraph_skips gmean=nanx mean=-0.109x 2025-09-07T08:31:42.1959566Z compilation_latency mean=14.609 seconds 2025-09-07T08:31:44.0757095Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_inference.csv 2025-09-07T08:31:44.4158559Z llama_v2_7b_16h XFAIL 2025-09-07T08:31:44.4163085Z llava XFAIL 2025-09-07T08:31:44.4167290Z maml XFAIL 2025-09-07T08:31:44.4172037Z maml_omniglot PASS 2025-09-07T08:31:44.4176773Z microbench_unbacked_tolist_sum PASS 2025-09-07T08:31:44.4181606Z mnasnet1_0 PASS 2025-09-07T08:31:44.4186617Z mobilenet_v2 PASS 2025-09-07T08:31:44.4191121Z mobilenet_v2_quantized_qat XFAIL 2025-09-07T08:31:44.4196093Z mobilenet_v3_large PASS 2025-09-07T08:31:44.4200469Z moco PASS 2025-09-07T08:31:44.4205288Z moondream XFAIL 2025-09-07T08:31:44.4210085Z nanogpt PASS 2025-09-07T08:31:44.4214495Z nvidia_deeprecommender PASS 2025-09-07T08:31:44.4219377Z opacus_cifar10 PASS 2025-09-07T08:31:44.4224674Z phlippe_densenet PASS 2025-09-07T08:31:44.4229289Z phlippe_resnet PASS 2025-09-07T08:31:44.4233808Z pyhpc_equation_of_state PASS 2025-09-07T08:31:44.4238520Z pyhpc_isoneutral_mixing PASS 2025-09-07T08:31:44.4243066Z pyhpc_turbulent_kinetic_energy PASS 2025-09-07T08:31:44.4248035Z pytorch_CycleGAN_and_pix2pix PASS 2025-09-07T08:31:44.4252610Z pytorch_stargan PASS 2025-09-07T08:31:44.4257341Z pytorch_unet PASS 2025-09-07T08:31:44.4261999Z resnet152 PASS 2025-09-07T08:31:44.4266623Z resnet18 PASS 2025-09-07T08:31:44.4271371Z resnet50 PASS 2025-09-07T08:31:44.4276077Z resnet50_quantized_qat XFAIL 2025-09-07T08:31:44.4280678Z resnext50_32x4d PASS 2025-09-07T08:31:44.4285456Z sam PASS 2025-09-07T08:31:44.4290000Z sam_fast PASS 2025-09-07T08:31:44.4294757Z shufflenet_v2_x1_0 PASS 2025-09-07T08:31:44.4299406Z soft_actor_critic PASS 2025-09-07T08:31:44.4304056Z speech_transformer PASS 2025-09-07T08:31:44.4308400Z squeezenet1_1 PASS 2025-09-07T08:31:44.4313417Z stable_diffusion_text_encoder PASS 2025-09-07T08:31:44.4318050Z stable_diffusion_unet XFAIL 2025-09-07T08:31:44.4322789Z timm_efficientnet PASS 2025-09-07T08:31:44.4327773Z timm_regnet PASS 2025-09-07T08:31:44.4332340Z timm_resnest PASS 2025-09-07T08:31:44.4336970Z timm_vision_transformer PASS 2025-09-07T08:31:44.4341553Z timm_vision_transformer_large XFAIL 2025-09-07T08:31:44.4346147Z timm_vovnet PASS 2025-09-07T08:31:44.4350823Z torch_multimodal_clip PASS 2025-09-07T08:31:44.4355383Z tts_angular PASS 2025-09-07T08:31:44.4360005Z vgg16 PASS 2025-09-07T08:31:44.4364749Z vision_maskrcnn PASS 2025-09-07T08:31:44.4369559Z yolov3 PASS 2025-09-07T08:31:44.4903151Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_inference.csv 2025-09-07T08:31:44.8320151Z llama_v2_7b_16h PASS 2025-09-07T08:31:44.8324090Z llava PASS 2025-09-07T08:31:44.8328884Z maml PASS 2025-09-07T08:31:44.8333396Z maml_omniglot PASS 2025-09-07T08:31:44.8338403Z microbench_unbacked_tolist_sum PASS 2025-09-07T08:31:44.8342846Z mnasnet1_0 PASS 2025-09-07T08:31:44.8347493Z mobilenet_v2 PASS 2025-09-07T08:31:44.8352185Z mobilenet_v2_quantized_qat PASS 2025-09-07T08:31:44.8356766Z mobilenet_v3_large PASS 2025-09-07T08:31:44.8361580Z moco PASS 2025-09-07T08:31:44.8366392Z moondream PASS 2025-09-07T08:31:44.8370884Z nanogpt PASS 2025-09-07T08:31:44.8375548Z nvidia_deeprecommender PASS 2025-09-07T08:31:44.8380143Z opacus_cifar10 PASS 2025-09-07T08:31:44.8384773Z phlippe_densenet PASS 2025-09-07T08:31:44.8389434Z phlippe_resnet PASS 2025-09-07T08:31:44.8394111Z pyhpc_equation_of_state PASS 2025-09-07T08:31:44.8398686Z pyhpc_isoneutral_mixing PASS 2025-09-07T08:31:44.8403274Z pyhpc_turbulent_kinetic_energy PASS 2025-09-07T08:31:44.8408275Z pytorch_CycleGAN_and_pix2pix PASS 2025-09-07T08:31:44.8412622Z pytorch_stargan PASS 2025-09-07T08:31:44.8417358Z pytorch_unet PASS 2025-09-07T08:31:44.8422474Z resnet152 PASS 2025-09-07T08:31:44.8426876Z resnet18 PASS 2025-09-07T08:31:44.8431487Z resnet50 PASS 2025-09-07T08:31:44.8436079Z resnet50_quantized_qat PASS 2025-09-07T08:31:44.8440738Z resnext50_32x4d PASS 2025-09-07T08:31:44.8445557Z sam PASS 2025-09-07T08:31:44.8450034Z sam_fast PASS 2025-09-07T08:31:44.8454722Z shufflenet_v2_x1_0 PASS 2025-09-07T08:31:44.8459234Z soft_actor_critic PASS 2025-09-07T08:31:44.8463976Z speech_transformer PASS 2025-09-07T08:31:44.8468523Z squeezenet1_1 PASS 2025-09-07T08:31:44.8473154Z stable_diffusion_text_encoder PASS 2025-09-07T08:31:44.8477681Z stable_diffusion_unet PASS 2025-09-07T08:31:44.8482236Z timm_efficientnet PASS 2025-09-07T08:31:44.8487164Z timm_regnet PASS 2025-09-07T08:31:44.8491594Z timm_resnest PASS 2025-09-07T08:31:44.8496325Z timm_vision_transformer PASS 2025-09-07T08:31:44.8500917Z timm_vision_transformer_large PASS 2025-09-07T08:31:44.8505525Z timm_vovnet PASS 2025-09-07T08:31:44.8510095Z torch_multimodal_clip PASS 2025-09-07T08:31:44.8514641Z tts_angular PASS 2025-09-07T08:31:44.8519283Z vgg16 PASS 2025-09-07T08:31:44.8524279Z vision_maskrcnn PASS 2025-09-07T08:31:44.8529005Z yolov3 PASS_BUT_FLAKY 2025-09-07T08:31:44.9062313Z + test_single_dynamo_benchmark training torchbench 1 --training --amp 2025-09-07T08:31:44.9066712Z ++ pwd 2025-09-07T08:31:44.9069661Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:31:44.9070175Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:31:44.9120499Z + local name=training 2025-09-07T08:31:44.9120807Z + shift 2025-09-07T08:31:44.9121011Z + local suite=torchbench 2025-09-07T08:31:44.9121277Z + shift 2025-09-07T08:31:44.9121542Z + local shard_id=1 2025-09-07T08:31:44.9121827Z + shift 2025-09-07T08:31:44.9122037Z + partition_flags=() 2025-09-07T08:31:44.9122274Z + local partition_flags 2025-09-07T08:31:44.9122501Z + [[ -n 2 ]] 2025-09-07T08:31:44.9122713Z + [[ -n 1 ]] 2025-09-07T08:31:44.9123214Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T08:31:44.9123811Z + [[ inductor_torchbench == *perf_compare* ]] 2025-09-07T08:31:44.9124193Z + [[ inductor_torchbench == *perf* ]] 2025-09-07T08:31:44.9124726Z + [[ inductor_torchbench == *_avx2* ]] 2025-09-07T08:31:44.9125121Z + [[ inductor_torchbench == *_avx512* ]] 2025-09-07T08:31:44.9126579Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cuda --training --amp --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/training_torchbench.csv 2025-09-07T08:31:45.4874911Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:31:45.4876533Z import pynvml # type: ignore[import] 2025-09-07T08:31:48.8286631Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:31:48.8288312Z import pynvml # type: ignore[import] 2025-09-07T08:31:51.4649964Z 2025-09-07T08:31:51.9935556Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:31:51.9935945Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:31:51.9936250Z cuda train llava 2025-09-07T08:31:51.9942365Z Traceback (most recent call last): 2025-09-07T08:31:51.9942940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T08:31:51.9943413Z ) = runner.load_model( 2025-09-07T08:31:51.9943875Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 325, in load_model 2025-09-07T08:31:51.9944679Z benchmark = benchmark_cls( 2025-09-07T08:31:51.9945071Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-09-07T08:31:51.9945496Z obj = type.__call__(cls, *args, **kwargs) 2025-09-07T08:31:51.9945953Z File "/torchbench/torchbenchmark/models/llava/__init__.py", line 12, in __init__ 2025-09-07T08:31:51.9946395Z super().__init__( 2025-09-07T08:31:51.9946891Z File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__ 2025-09-07T08:31:51.9947416Z super().__init__( 2025-09-07T08:31:51.9947776Z File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__ 2025-09-07T08:31:51.9948190Z self._skip_by_device_name() 2025-09-07T08:31:51.9948628Z File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name 2025-09-07T08:31:51.9949094Z raise NotImplementedError( 2025-09-07T08:31:51.9949569Z NotImplementedError: The current device NVIDIA A10G is skipped by its `llava/metadata.yaml`. 2025-09-07T08:31:51.9949973Z 2025-09-07T08:31:51.9950064Z model_fail_to_load 2025-09-07T08:31:53.5527661Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:31:53.5529367Z import pynvml # type: ignore[import] 2025-09-07T08:31:56.2065503Z 2025-09-07T08:31:57.0844917Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:31:57.0845249Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:31:57.0845551Z cuda train maml_omniglot 2025-09-07T08:32:07.2601134Z W0907 08:32:07.259000 30933 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:32:11.1613310Z Compilation time (from dynamo_timed): 12.689468275 2025-09-07T08:32:11.1613898Z pass 2025-09-07T08:32:11.1615689Z TIMING: gc:0.00451 entire_frame_compile:8.4142 _recursive_pre_grad_passes:0.00892 pad_mm_benchmark:0.39955 _recursive_joint_graph_passes:0.75085 _recursive_post_grad_passes:0.05462 async_compile.precompile:0.43407 async_compile.wait:2.11961 code_gen:7.19676 inductor_compile:8.43484 backend_compile:7.04453 cudagraphify.get_container:0.00289 entire_backward_compile:4.27527 CUDAGraphNode.record:0.0072 total_wall_time:12.68947 2025-09-07T08:32:11.1617633Z STATS: call_* op count: 107 | FakeTensor.__torch_dispatch__:2474 | FakeTensorMode.__torch_dispatch__:4315 | ProxyTorchDispatchMode.__torch_dispatch__:1641 2025-09-07T08:32:11.1618608Z Dynamo produced 3 graphs covering 107 ops with 7 graph breaks (5 unique) 2025-09-07T08:32:14.1598836Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:32:14.1600522Z import pynvml # type: ignore[import] 2025-09-07T08:32:16.8206600Z 2025-09-07T08:32:17.1492591Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:32:17.1493006Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:32:17.1493443Z cuda train microbench_unbacked_tolist_sum 2025-09-07T08:32:23.0048375Z W0907 08:32:23.003000 31493 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T08:32:23.0050562Z W0907 08:32:23.003000 31493 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T08:32:23.0052075Z W0907 08:32:23.003000 31493 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: 2025-09-07T08:32:23.0053524Z W0907 08:32:23.003000 31493 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T08:32:23.0055138Z W0907 08:32:23.003000 31493 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. 2025-09-07T08:32:23.0055883Z W0907 08:32:23.003000 31493 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:32:23.0056563Z W0907 08:32:23.003000 31493 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: 2025-09-07T08:32:23.0057748Z W0907 08:32:23.003000 31493 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 2025-09-07T08:32:23.0058921Z W0907 08:32:23.003000 31493 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] pred = mod(*cloned_inputs) 2025-09-07T08:32:23.0059966Z W0907 08:32:23.003000 31493 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/torchbench/torchbenchmark/models/microbench_unbacked_tolist_sum/__init__.py", line 18, in forward 2025-09-07T08:32:23.0060991Z W0907 08:32:23.003000 31493 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] sum += tv[i].item() 2025-09-07T08:32:23.0061638Z W0907 08:32:23.003000 31493 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:32:23.0062204Z W0907 08:32:23.003000 31493 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 2025-09-07T08:32:27.5737838Z W0907 08:32:27.572000 31493 site-packages/torch/_logging/_internal.py:1199] [9/0] Profiler function will be ignored 2025-09-07T08:32:28.2962638Z Compilation time (from dynamo_timed): 9.790371923 2025-09-07T08:32:28.2963113Z pass 2025-09-07T08:32:28.2964969Z TIMING: gc:0.00647 entire_frame_compile:9.79037 _recursive_pre_grad_passes:0.00692 _recursive_joint_graph_passes:0.16084 inductor_compile:0.31014 backend_compile:1.45591 _recursive_post_grad_passes:0.01827 async_compile.precompile:0.15945 async_compile.wait:0.00017 code_gen:0.22401 cudagraphify.get_container:0.00235 CUDAGraphNode.record:0.00099 total_wall_time:9.79037 2025-09-07T08:32:28.2967424Z STATS: call_* op count: 30 | FakeTensor.__torch_dispatch__:3132 | FakeTensorMode.__torch_dispatch__:11558 | ProxyTorchDispatchMode.__torch_dispatch__:93 2025-09-07T08:32:28.2968476Z Dynamo produced 4 graphs covering 30 ops with 8 graph breaks (6 unique) 2025-09-07T08:32:33.9099061Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:32:33.9101155Z import pynvml # type: ignore[import] 2025-09-07T08:32:36.5692550Z 2025-09-07T08:32:39.2399790Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:32:39.2400296Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:32:39.2400746Z cuda train mnasnet1_0 2025-09-07T08:33:12.3961571Z W0907 08:33:12.395000 31603 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:33:45.5826440Z Compilation time (from dynamo_timed): 61.207580146 2025-09-07T08:33:45.5847376Z pass 2025-09-07T08:33:45.5880382Z TIMING: gc:0.00729 entire_frame_compile:51.06349 _recursive_pre_grad_passes:0.02936 pad_mm_benchmark:0.21145 _recursive_joint_graph_passes:0.66241 _recursive_post_grad_passes:0.45217 async_compile.wait:2.24428 code_gen:18.08196 inductor_compile:30.26152 backend_compile:37.2342 cudagraphify.get_container:0.00307 entire_backward_compile:10.14409 CUDAGraphNode.record:0.13485 total_wall_time:61.20758 2025-09-07T08:33:45.5882338Z STATS: call_* op count: 965 | FakeTensorMode.__torch_dispatch__:41595 | FakeTensor.__torch_dispatch__:29912 | ProxyTorchDispatchMode.__torch_dispatch__:18737 2025-09-07T08:33:45.5883112Z Dynamo produced 3 graphs covering 965 ops with 7 graph breaks (5 unique) 2025-09-07T08:33:50.5070512Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:33:50.5072646Z import pynvml # type: ignore[import] 2025-09-07T08:33:53.1670384Z 2025-09-07T08:33:55.1431981Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:33:55.1432370Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:33:55.1432669Z cuda train mobilenet_v2 2025-09-07T08:34:29.8457653Z Compilation time (from dynamo_timed): 31.059335715000003 2025-09-07T08:34:29.8477156Z pass 2025-09-07T08:34:29.8534603Z TIMING: gc:0.00444 entire_frame_compile:19.03279 _recursive_pre_grad_passes:0.00867 pad_mm_benchmark:0.0382 _recursive_joint_graph_passes:0.3622 _recursive_post_grad_passes:0.45167 async_compile.wait:0.14596 code_gen:8.99453 inductor_compile:16.55552 backend_compile:12.7551 cudagraphify.get_container:0.00293 entire_backward_compile:12.02655 CUDAGraphNode.record:0.0608 total_wall_time:31.05934 2025-09-07T08:34:29.8537614Z STATS: call_* op count: 157 | FakeTensorMode.__torch_dispatch__:23789 | FakeTensor.__torch_dispatch__:17131 | ProxyTorchDispatchMode.__torch_dispatch__:10380 2025-09-07T08:34:29.8538804Z Dynamo produced 2 graphs covering 157 ops with 6 graph breaks (5 unique) 2025-09-07T08:34:33.7021967Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:34:33.7023698Z import pynvml # type: ignore[import] 2025-09-07T08:34:36.3314783Z 2025-09-07T08:34:38.2267042Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:34:38.2276684Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:34:38.2277111Z cuda train mobilenet_v2_quantized_qat 2025-09-07T08:34:38.2277589Z Traceback (most recent call last): 2025-09-07T08:34:38.2278220Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T08:34:38.2278807Z self.model_iter_fn(model, example_inputs) 2025-09-07T08:34:38.2279602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in forward_and_backward_pass 2025-09-07T08:34:38.2280329Z pred = mod(*cloned_inputs) 2025-09-07T08:34:38.2282070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 837, in call_wrapped 2025-09-07T08:34:38.2282678Z return self._wrapped_call(self, *args, **kwargs) 2025-09-07T08:34:38.2283241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 413, in __call__ 2025-09-07T08:34:38.2283752Z raise e 2025-09-07T08:34:38.2284185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 400, in __call__ 2025-09-07T08:34:38.2284907Z return super(self.cls, obj).__call__(*args, **kwargs) # type: ignore[misc] 2025-09-07T08:34:38.2285612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T08:34:38.2286207Z return self._call_impl(*args, **kwargs) 2025-09-07T08:34:38.2286759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:34:38.2287310Z return forward_call(*args, **kwargs) 2025-09-07T08:34:38.2287621Z File ".3", line 207, in forward 2025-09-07T08:34:38.2288139Z activation_post_process_101 = self.activation_post_process_101(classifier_1); classifier_1 = None 2025-09-07T08:34:38.2288928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T08:34:38.2289507Z return self._call_impl(*args, **kwargs) 2025-09-07T08:34:38.2290057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:34:38.2290783Z return forward_call(*args, **kwargs) 2025-09-07T08:34:38.2291371Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fake_quantize.py", line 411, in forward 2025-09-07T08:34:38.2291980Z return torch.fused_moving_avg_obs_fake_quant( 2025-09-07T08:34:38.2292348Z RuntimeError: expected scalar type Float but found Half 2025-09-07T08:34:38.2292637Z 2025-09-07T08:34:38.2292914Z The above exception was the direct cause of the following exception: 2025-09-07T08:34:38.2293224Z 2025-09-07T08:34:38.2293327Z Traceback (most recent call last): 2025-09-07T08:34:38.2293763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T08:34:38.2294204Z ) = runner.load_model( 2025-09-07T08:34:38.2294642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T08:34:38.2295158Z self.validate_model(model, example_inputs) 2025-09-07T08:34:38.2295666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T08:34:38.2296178Z raise RuntimeError("Eager run failed") from e 2025-09-07T08:34:38.2296493Z RuntimeError: Eager run failed 2025-09-07T08:34:38.2296660Z 2025-09-07T08:34:38.2296743Z eager_fail_to_run 2025-09-07T08:34:39.9753953Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:34:39.9755599Z import pynvml # type: ignore[import] 2025-09-07T08:34:42.6273653Z 2025-09-07T08:34:44.9865253Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:34:44.9865602Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:34:44.9865908Z cuda train mobilenet_v3_large 2025-09-07T08:35:25.3499716Z W0907 08:35:25.349000 35388 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:36:02.5365276Z E0907 08:36:02.535000 35388 site-packages/torch/_dynamo/utils.py:3115] RMSE (res-fp64): 0.02543, (ref-fp64): 0.00721 and shape=torch.Size([168]). res.dtype: torch.float32, multiplier: 3.000000, tol: 0.001000, use_larger_multiplier_for_smaller_tensor: 0 2025-09-07T08:36:02.5367837Z E0907 08:36:02.535000 35388 site-packages/torch/_dynamo/utils.py:2976] Accuracy failed for key name features.12.block.2.fc1.bias.grad 2025-09-07T08:36:02.5634552Z Compilation time (from dynamo_timed): 72.326295609 2025-09-07T08:36:02.5655866Z pass 2025-09-07T08:36:02.5694755Z TIMING: gc:0.00586 entire_frame_compile:58.68455 _recursive_pre_grad_passes:0.0325 pad_mm_benchmark:0.20973 _recursive_joint_graph_passes:0.96247 _recursive_post_grad_passes:0.61994 async_compile.wait:2.73507 code_gen:22.00735 inductor_compile:37.36422 backend_compile:43.0382 cudagraphify.get_container:0.00389 entire_backward_compile:13.64174 CUDAGraphNode.record:0.16492 total_wall_time:72.3263 2025-09-07T08:36:02.5696644Z STATS: call_* op count: 1080 | FakeTensorMode.__torch_dispatch__:47106 | FakeTensor.__torch_dispatch__:36208 | ProxyTorchDispatchMode.__torch_dispatch__:20796 2025-09-07T08:36:02.5697437Z Dynamo produced 3 graphs covering 1080 ops with 7 graph breaks (5 unique) 2025-09-07T08:36:07.8949863Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:36:07.8951520Z import pynvml # type: ignore[import] 2025-09-07T08:36:10.5408531Z 2025-09-07T08:36:12.9014802Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:36:12.9015148Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:36:12.9015437Z cuda train moco 2025-09-07T08:36:18.2173134Z [rank0]:W0907 08:36:18.216000 38404 site-packages/torch/_logging/_internal.py:1199] [2/0] Profiler function will be ignored 2025-09-07T08:36:28.2370007Z [rank0]:W0907 08:36:28.236000 38404 site-packages/torch/_dynamo/backends/distributed.py:109] [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. 2025-09-07T08:36:28.2628106Z [rank0]:W0907 08:36:28.262000 38404 site-packages/torch/_dynamo/backends/distributed.py:126] [6/0_1] DDPOptimizer extended these buckets to ensure per-subgraph output nodes: 2025-09-07T08:36:28.2629575Z [rank0]:W0907 08:36:28.262000 38404 site-packages/torch/_dynamo/backends/distributed.py:126] [6/0_1] ┌─────────┬─────────────┬────────────────────────┐ 2025-09-07T08:36:28.2630675Z [rank0]:W0907 08:36:28.262000 38404 site-packages/torch/_dynamo/backends/distributed.py:126] [6/0_1] │ Index │ Extra Ops │ Extra Param Size (b) │ 2025-09-07T08:36:28.2631773Z [rank0]:W0907 08:36:28.262000 38404 site-packages/torch/_dynamo/backends/distributed.py:126] [6/0_1] ├─────────┼─────────────┼────────────────────────┤ 2025-09-07T08:36:28.2632833Z [rank0]:W0907 08:36:28.262000 38404 site-packages/torch/_dynamo/backends/distributed.py:126] [6/0_1] │ 0 │ 480 │ 94032128 │ 2025-09-07T08:36:28.2633897Z [rank0]:W0907 08:36:28.262000 38404 site-packages/torch/_dynamo/backends/distributed.py:126] [6/0_1] └─────────┴─────────────┴────────────────────────┘ 2025-09-07T08:36:53.7175191Z [rank0]:W0907 08:36:53.716000 38404 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T08:36:53.7176240Z [rank0]:W0907 08:36:53.716000 38404 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T08:36:53.7177255Z [rank0]:W0907 08:36:53.716000 38404 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] or: 2025-09-07T08:36:53.7178048Z [rank0]:W0907 08:36:53.716000 38404 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T08:36:53.7179784Z [rank0]:W0907 08:36:53.716000 38404 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] to include these operations in the captured graph. 2025-09-07T08:36:53.7180585Z [rank0]:W0907 08:36:53.716000 38404 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] 2025-09-07T08:36:53.7181299Z [rank0]:W0907 08:36:53.716000 38404 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] Graph break: from user code at: 2025-09-07T08:36:53.7182435Z [rank0]:W0907 08:36:53.716000 38404 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 2025-09-07T08:36:53.7183570Z [rank0]:W0907 08:36:53.716000 38404 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] self._dequeue_and_enqueue(k) 2025-09-07T08:36:53.7184712Z [rank0]:W0907 08:36:53.716000 38404 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 2025-09-07T08:36:53.7185833Z [rank0]:W0907 08:36:53.716000 38404 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] return func(*args, **kwargs) 2025-09-07T08:36:53.7186899Z [rank0]:W0907 08:36:53.716000 38404 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 68, in _dequeue_and_enqueue 2025-09-07T08:36:53.7187950Z [rank0]:W0907 08:36:53.716000 38404 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] ptr = int(self.queue_ptr) 2025-09-07T08:36:53.7188845Z [rank0]:W0907 08:36:53.716000 38404 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] 2025-09-07T08:36:53.7189452Z [rank0]:W0907 08:36:53.716000 38404 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] 2025-09-07T08:37:25.9097088Z Compilation time (from dynamo_timed): 66.78044618199999 2025-09-07T08:37:25.9143198Z pass 2025-09-07T08:37:25.9497402Z TIMING: gc:0.00938 entire_frame_compile:52.45998 _recursive_pre_grad_passes:0.1097 _recursive_joint_graph_passes:0.8521 inductor_compile:28.18134 backend_compile:30.74607 _recursive_post_grad_passes:0.6425 async_compile.wait:2.10709 code_gen:17.3576 pad_mm_benchmark:0.20775 cudagraphify.get_container:0.00877 entire_backward_compile:14.32047 CUDAGraphNode.record:0.08837 total_wall_time:66.78045 2025-09-07T08:37:25.9499386Z STATS: call_* op count: 887 | FakeTensorMode.__torch_dispatch__:47938 | ProxyTorchDispatchMode.__torch_dispatch__:20265 | FakeTensor.__torch_dispatch__:26821 2025-09-07T08:37:25.9500201Z Dynamo produced 10 graphs covering 887 ops with 13 graph breaks (9 unique) 2025-09-07T08:37:28.3100840Z [rank0]:[W907 08:37:28.287661963 ProcessGroupNCCL.cpp:1524] 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()) 2025-09-07T08:37:31.7315129Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:37:31.7316786Z import pynvml # type: ignore[import] 2025-09-07T08:37:34.3908296Z 2025-09-07T08:37:36.2830440Z loading model: 0it [00:00, ?it/s]number of parameters: 123.69M 2025-09-07T08:37:36.5284593Z num decayed parameter tensors: 50, with 124,354,560 parameters 2025-09-07T08:37:36.5285278Z num non-decayed parameter tensors: 98, with 121,344 parameters 2025-09-07T08:37:36.5286693Z using fused AdamW: True 2025-09-07T08:37:37.0738124Z 2025-09-07T08:37:37.0738717Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:37:37.0739156Z cuda train nanogpt 2025-09-07T08:38:02.3427779Z 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 2025-09-07T08:38:02.3429421Z pred = mod(*cloned_inputs) 2025-09-07T08:38:02.3430052Z File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 240, in forward 2025-09-07T08:38:02.3430687Z x[:, [-1], :] 2025-09-07T08:38:02.3430871Z 2025-09-07T08:38:02.3430878Z 2025-09-07T08:38:02.4970862Z W0907 08:38:02.496000 41043 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:38:30.2492646Z Compilation time (from dynamo_timed): 50.34840369 2025-09-07T08:38:30.2510578Z pass 2025-09-07T08:38:30.3181933Z TIMING: gc:0.00605 entire_frame_compile:42.75435 _recursive_pre_grad_passes:0.02841 pad_mm_benchmark:0.27231 _recursive_joint_graph_passes:1.18481 _recursive_post_grad_passes:0.76177 async_compile.wait:2.31984 code_gen:15.49879 inductor_compile:26.55981 backend_compile:33.49597 cudagraphify.get_container:0.03908 entire_backward_compile:7.59405 CUDAGraphNode.record:0.0252 total_wall_time:50.3484 2025-09-07T08:38:30.3183859Z STATS: call_* op count: 1156 | FakeTensorMode.__torch_dispatch__:47188 | FakeTensor.__torch_dispatch__:28285 | ProxyTorchDispatchMode.__torch_dispatch__:20463 2025-09-07T08:38:30.3184662Z Dynamo produced 3 graphs covering 1156 ops with 7 graph breaks (5 unique) 2025-09-07T08:38:34.6070955Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:38:34.6073243Z import pynvml # type: ignore[import] 2025-09-07T08:38:37.2401157Z 2025-09-07T08:38:39.7806462Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:38:39.7806824Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:38:39.7807172Z cuda train nvidia_deeprecommender 2025-09-07T08:38:46.7270257Z W0907 08:38:46.726000 41735 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:38:50.2743208Z Compilation time (from dynamo_timed): 8.447197425 2025-09-07T08:38:50.2743850Z pass 2025-09-07T08:38:50.3006071Z TIMING: gc:0.00467 entire_frame_compile:7.6057 _recursive_pre_grad_passes:0.00928 pad_mm_benchmark:0.97869 _recursive_joint_graph_passes:1.36115 _recursive_post_grad_passes:0.0661 async_compile.precompile:0.31822 async_compile.wait:1.83419 code_gen:3.24824 inductor_compile:4.09598 backend_compile:6.47332 cudagraphify.get_container:0.01518 entire_backward_compile:0.8415 CUDAGraphNode.record:0.00714 total_wall_time:8.4472 2025-09-07T08:38:50.3008905Z STATS: call_* op count: 96 | FakeTensorMode.__torch_dispatch__:3945 | FakeTensor.__torch_dispatch__:2404 | ProxyTorchDispatchMode.__torch_dispatch__:1592 2025-09-07T08:38:50.3009669Z Dynamo produced 3 graphs covering 96 ops with 7 graph breaks (5 unique) 2025-09-07T08:38:53.1562270Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:38:53.1563954Z import pynvml # type: ignore[import] 2025-09-07T08:38:55.7974471Z 2025-09-07T08:38:56.9013537Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:38:56.9013882Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:38:56.9014221Z cuda train opacus_cifar10 2025-09-07T08:38:56.9029967Z Traceback (most recent call last): 2025-09-07T08:38:56.9030680Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T08:38:56.9031403Z self.model_iter_fn(model, example_inputs) 2025-09-07T08:38:56.9031990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 493, in forward_and_backward_pass 2025-09-07T08:38:56.9032862Z self.grad_scaler.scale(loss).backward() 2025-09-07T08:38:56.9033594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 625, in backward 2025-09-07T08:38:56.9034238Z torch.autograd.backward( 2025-09-07T08:38:56.9034766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 354, in backward 2025-09-07T08:38:56.9035290Z _engine_run_backward( 2025-09-07T08:38:56.9035823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 841, in _engine_run_backward 2025-09-07T08:38:56.9036611Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-09-07T08:38:56.9037347Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 88, in __call__ 2025-09-07T08:38:56.9037894Z return self.hook(module, *args, **kwargs) 2025-09-07T08:38:56.9038545Z 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 2025-09-07T08:38:56.9039247Z activations, backprops = self.rearrange_grad_samples( 2025-09-07T08:38:56.9039946Z 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 2025-09-07T08:38:56.9040573Z raise ValueError( 2025-09-07T08:38:56.9041087Z ValueError: No activations detected for , run forward after add_hooks(model) 2025-09-07T08:38:56.9041714Z 2025-09-07T08:38:56.9041913Z The above exception was the direct cause of the following exception: 2025-09-07T08:38:56.9042212Z 2025-09-07T08:38:56.9042317Z Traceback (most recent call last): 2025-09-07T08:38:56.9042758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T08:38:56.9043205Z ) = runner.load_model( 2025-09-07T08:38:56.9043655Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T08:38:56.9044176Z self.validate_model(model, example_inputs) 2025-09-07T08:38:56.9044817Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T08:38:56.9045343Z raise RuntimeError("Eager run failed") from e 2025-09-07T08:38:56.9045666Z RuntimeError: Eager run failed 2025-09-07T08:38:56.9045837Z 2025-09-07T08:38:56.9045922Z eager_fail_to_run 2025-09-07T08:38:58.6343470Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:38:58.6345192Z import pynvml # type: ignore[import] 2025-09-07T08:39:01.3520819Z 2025-09-07T08:39:02.3330555Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:39:02.3330980Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:39:02.3331362Z cuda train phlippe_densenet 2025-09-07T08:39:36.0916282Z Compilation time (from dynamo_timed): 31.647097193 2025-09-07T08:39:36.0937730Z pass 2025-09-07T08:39:36.0943979Z TIMING: gc:0.00304 entire_frame_compile:20.99426 _recursive_pre_grad_passes:0.00919 pad_mm_benchmark:0.21094 _recursive_joint_graph_passes:0.80178 _recursive_post_grad_passes:0.3835 async_compile.wait:0.29629 code_gen:10.74407 inductor_compile:16.26057 backend_compile:14.30871 cudagraphify.get_container:0.00264 entire_backward_compile:10.65284 CUDAGraphNode.record:0.05727 total_wall_time:31.6471 2025-09-07T08:39:36.0945842Z STATS: call_* op count: 190 | FakeTensorMode.__torch_dispatch__:24431 | FakeTensor.__torch_dispatch__:14446 | ProxyTorchDispatchMode.__torch_dispatch__:11251 2025-09-07T08:39:36.0946619Z Dynamo produced 2 graphs covering 190 ops with 6 graph breaks (5 unique) 2025-09-07T08:39:39.7715628Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:39:39.7717364Z import pynvml # type: ignore[import] 2025-09-07T08:39:42.4235376Z 2025-09-07T08:39:43.2314851Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:39:43.2315201Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:39:43.2315517Z cuda train phlippe_resnet 2025-09-07T08:39:55.4070502Z Compilation time (from dynamo_timed): 10.732989865 2025-09-07T08:39:55.4077306Z pass 2025-09-07T08:39:55.4079009Z TIMING: gc:0.00359 entire_frame_compile:7.9534 _recursive_pre_grad_passes:0.00589 pad_mm_benchmark:0.2155 _recursive_joint_graph_passes:0.44367 _recursive_post_grad_passes:0.14967 async_compile.wait:0.48775 code_gen:2.81738 inductor_compile:4.72431 backend_compile:5.56581 cudagraphify.get_container:0.00285 entire_backward_compile:2.77959 CUDAGraphNode.record:0.01585 total_wall_time:10.73299 2025-09-07T08:39:55.4080853Z STATS: call_* op count: 75 | FakeTensorMode.__torch_dispatch__:8951 | FakeTensor.__torch_dispatch__:5356 | ProxyTorchDispatchMode.__torch_dispatch__:4232 2025-09-07T08:39:55.4081631Z Dynamo produced 2 graphs covering 75 ops with 6 graph breaks (5 unique) 2025-09-07T08:39:58.5302203Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:39:58.5304317Z import pynvml # type: ignore[import] 2025-09-07T08:40:01.1866603Z 2025-09-07T08:40:02.4789673Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:40:02.4789999Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:40:02.4790314Z cuda train pytorch_CycleGAN_and_pix2pix 2025-09-07T08:40:30.2070052Z Compilation time (from dynamo_timed): 21.436812795 2025-09-07T08:40:30.2074617Z pass 2025-09-07T08:40:30.2175868Z TIMING: gc:0.0032 entire_frame_compile:11.52651 _recursive_pre_grad_passes:0.00564 _recursive_joint_graph_passes:0.42513 _recursive_post_grad_passes:0.281 async_compile.wait:2.0491 code_gen:9.67296 inductor_compile:13.64157 backend_compile:9.45514 cudagraphify.get_container:0.00642 CachingAutotuner.benchmark_all_configs:0.63437 entire_backward_compile:9.9103 CUDAGraphNode.record:0.01641 total_wall_time:21.43681 2025-09-07T08:40:30.2177840Z STATS: call_* op count: 95 | FakeTensorMode.__torch_dispatch__:14323 | FakeTensor.__torch_dispatch__:10750 | ProxyTorchDispatchMode.__torch_dispatch__:7141 2025-09-07T08:40:30.2178639Z Dynamo produced 2 graphs covering 95 ops with 6 graph breaks (5 unique) 2025-09-07T08:40:33.6030105Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:40:33.6031798Z import pynvml # type: ignore[import] 2025-09-07T08:40:36.2477835Z 2025-09-07T08:40:37.8366039Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:40:37.8366401Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:40:37.8366717Z cuda train pytorch_stargan 2025-09-07T08:41:07.6187350Z Compilation time (from dynamo_timed): 12.233265806999999 2025-09-07T08:41:07.6195484Z pass 2025-09-07T08:41:07.6277625Z TIMING: gc:0.00401 entire_frame_compile:9.27341 _recursive_pre_grad_passes:0.0057 _recursive_joint_graph_passes:0.41719 _recursive_post_grad_passes:0.14608 async_compile.wait:0.19986 code_gen:3.4263 inductor_compile:5.69941 backend_compile:7.10617 cudagraphify.get_container:0.006 entire_backward_compile:2.95985 CUDAGraphNode.record:0.01574 total_wall_time:12.23327 2025-09-07T08:41:07.6279393Z STATS: call_* op count: 60 | FakeTensorMode.__torch_dispatch__:12445 | FakeTensor.__torch_dispatch__:5737 | ProxyTorchDispatchMode.__torch_dispatch__:5363 2025-09-07T08:41:07.6280447Z Dynamo produced 2 graphs covering 60 ops with 6 graph breaks (5 unique) 2025-09-07T08:41:10.6718693Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:41:10.6720394Z import pynvml # type: ignore[import] 2025-09-07T08:41:13.3274993Z 2025-09-07T08:41:14.4161424Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:41:14.4161783Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:41:14.4162088Z cuda train pytorch_unet 2025-09-07T08:42:00.7444164Z W0907 08:42:00.743000 46259 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:42:16.4611368Z Compilation time (from dynamo_timed): 37.623403057000004 2025-09-07T08:42:16.4621044Z pass_due_to_skip 2025-09-07T08:42:16.4707160Z TIMING: gc:0.00525 entire_frame_compile:26.98409 _recursive_pre_grad_passes:0.01859 _recursive_joint_graph_passes:0.30768 _recursive_post_grad_passes:0.24854 async_compile.wait:2.45267 code_gen:17.29898 inductor_compile:23.1709 backend_compile:20.98142 cudagraphify.get_container:0.00689 CachingAutotuner.benchmark_all_configs:3.28057 entire_backward_compile:10.63931 CUDAGraphNode.record:0.04053 total_wall_time:37.6234 2025-09-07T08:42:16.4709129Z STATS: call_* op count: 464 | FakeTensorMode.__torch_dispatch__:21923 | FakeTensor.__torch_dispatch__:14972 | ProxyTorchDispatchMode.__torch_dispatch__:9646 2025-09-07T08:42:16.4710359Z Dynamo produced 3 graphs covering 464 ops with 7 graph breaks (5 unique) 2025-09-07T08:42:20.2579194Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:42:20.2580915Z import pynvml # type: ignore[import] 2025-09-07T08:42:22.8908394Z 2025-09-07T08:42:25.4501561Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:42:25.4502209Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:42:25.4502814Z cuda train resnet152 2025-09-07T08:43:44.9695820Z W0907 08:43:44.968000 48853 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:45:38.8609168Z Compilation time (from dynamo_timed): 181.985629875 2025-09-07T08:45:38.8666780Z pass 2025-09-07T08:45:38.9061971Z TIMING: gc:0.00824 entire_frame_compile:157.07971 _recursive_pre_grad_passes:0.07488 pad_mm_benchmark:0.21054 _recursive_joint_graph_passes:1.25035 _recursive_post_grad_passes:1.34853 async_compile.wait:4.26148 code_gen:51.12121 inductor_compile:93.64728 backend_compile:115.60683 cudagraphify.get_container:0.02467 entire_backward_compile:24.90592 CUDAGraphNode.record:0.95143 total_wall_time:181.98563 2025-09-07T08:45:38.9065067Z STATS: call_* op count: 2873 | FakeTensorMode.__torch_dispatch__:119574 | FakeTensor.__torch_dispatch__:89009 | ProxyTorchDispatchMode.__torch_dispatch__:56937 2025-09-07T08:45:38.9066357Z Dynamo produced 3 graphs covering 2873 ops with 7 graph breaks (5 unique) 2025-09-07T08:45:47.0495416Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:45:47.0497195Z import pynvml # type: ignore[import] 2025-09-07T08:45:49.7080600Z 2025-09-07T08:45:51.0689825Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:45:51.0690179Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:45:51.0690473Z cuda train resnet18 2025-09-07T08:46:08.6074139Z Compilation time (from dynamo_timed): 14.956506345000001 2025-09-07T08:46:08.6080610Z pass 2025-09-07T08:46:08.6157040Z TIMING: gc:0.00314 entire_frame_compile:8.57201 _recursive_pre_grad_passes:0.0062 pad_mm_benchmark:0.22163 _recursive_joint_graph_passes:0.44913 _recursive_post_grad_passes:0.36208 async_compile.wait:0.66528 code_gen:6.32959 inductor_compile:8.95126 backend_compile:6.35167 cudagraphify.get_container:0.00226 entire_backward_compile:6.3845 CUDAGraphNode.record:0.016 total_wall_time:14.95651 2025-09-07T08:46:08.6159088Z STATS: call_* op count: 73 | FakeTensorMode.__torch_dispatch__:9232 | FakeTensor.__torch_dispatch__:5435 | ProxyTorchDispatchMode.__torch_dispatch__:4228 2025-09-07T08:46:08.6159882Z Dynamo produced 2 graphs covering 73 ops with 6 graph breaks (5 unique) 2025-09-07T08:46:11.8365905Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:46:11.8367550Z import pynvml # type: ignore[import] 2025-09-07T08:46:14.5053145Z 2025-09-07T08:46:16.5385365Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:46:16.5385791Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:46:16.5386083Z cuda train resnet50 2025-09-07T08:46:50.8927664Z Compilation time (from dynamo_timed): 28.970330052999998 2025-09-07T08:46:50.8948303Z pass 2025-09-07T08:46:50.9115557Z TIMING: gc:0.00341 entire_frame_compile:18.52498 _recursive_pre_grad_passes:0.00901 pad_mm_benchmark:0.03824 _recursive_joint_graph_passes:0.36271 _recursive_post_grad_passes:0.36524 async_compile.wait:0.10807 code_gen:8.78475 inductor_compile:14.97198 backend_compile:12.62015 cudagraphify.get_container:0.00444 entire_backward_compile:10.44535 CUDAGraphNode.record:0.05651 total_wall_time:28.97033 2025-09-07T08:46:50.9118052Z STATS: call_* op count: 179 | FakeTensorMode.__torch_dispatch__:22984 | FakeTensor.__torch_dispatch__:14129 | ProxyTorchDispatchMode.__torch_dispatch__:11015 2025-09-07T08:46:50.9119110Z Dynamo produced 2 graphs covering 179 ops with 6 graph breaks (5 unique) 2025-09-07T08:46:54.8228907Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:46:54.8230666Z import pynvml # type: ignore[import] 2025-09-07T08:46:57.4971553Z 2025-09-07T08:46:59.7200649Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:46:59.7201032Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:46:59.7201347Z cuda train resnet50_quantized_qat 2025-09-07T08:46:59.7201685Z Traceback (most recent call last): 2025-09-07T08:46:59.7202202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T08:46:59.7202783Z self.model_iter_fn(model, example_inputs) 2025-09-07T08:46:59.7203466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in forward_and_backward_pass 2025-09-07T08:46:59.7204049Z pred = mod(*cloned_inputs) 2025-09-07T08:46:59.7204816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 837, in call_wrapped 2025-09-07T08:46:59.7205513Z return self._wrapped_call(self, *args, **kwargs) 2025-09-07T08:46:59.7206166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 413, in __call__ 2025-09-07T08:46:59.7206695Z raise e 2025-09-07T08:46:59.7207225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 400, in __call__ 2025-09-07T08:46:59.7207942Z return super(self.cls, obj).__call__(*args, **kwargs) # type: ignore[misc] 2025-09-07T08:46:59.7209036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T08:46:59.7209787Z return self._call_impl(*args, **kwargs) 2025-09-07T08:46:59.7210375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:46:59.7210990Z return forward_call(*args, **kwargs) 2025-09-07T08:46:59.7211348Z File ".3", line 167, in forward 2025-09-07T08:46:59.7211819Z activation_post_process_73 = self.activation_post_process_73(fc); fc = None 2025-09-07T08:46:59.7212608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T08:46:59.7213297Z return self._call_impl(*args, **kwargs) 2025-09-07T08:46:59.7213864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:46:59.7214498Z return forward_call(*args, **kwargs) 2025-09-07T08:46:59.7215170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fake_quantize.py", line 411, in forward 2025-09-07T08:46:59.7215871Z return torch.fused_moving_avg_obs_fake_quant( 2025-09-07T08:46:59.7216254Z RuntimeError: expected scalar type Float but found Half 2025-09-07T08:46:59.7216522Z 2025-09-07T08:46:59.7216785Z The above exception was the direct cause of the following exception: 2025-09-07T08:46:59.7217081Z 2025-09-07T08:46:59.7217191Z Traceback (most recent call last): 2025-09-07T08:46:59.7217701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T08:46:59.7218719Z ) = runner.load_model( 2025-09-07T08:46:59.7219222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T08:46:59.7219852Z self.validate_model(model, example_inputs) 2025-09-07T08:46:59.7220439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T08:46:59.7220986Z raise RuntimeError("Eager run failed") from e 2025-09-07T08:46:59.7221355Z RuntimeError: Eager run failed 2025-09-07T08:46:59.7221527Z 2025-09-07T08:46:59.7221618Z eager_fail_to_run 2025-09-07T08:47:01.4523270Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:47:01.4525131Z import pynvml # type: ignore[import] 2025-09-07T08:47:04.1215834Z 2025-09-07T08:47:06.3694658Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:47:06.3695063Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:47:06.3695365Z cuda train resnext50_32x4d 2025-09-07T08:47:40.2755230Z W0907 08:47:40.274000 51295 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:48:13.6523375Z Compilation time (from dynamo_timed): 60.767583066 2025-09-07T08:48:13.6542007Z pass 2025-09-07T08:48:13.6663768Z TIMING: gc:0.00663 entire_frame_compile:50.93809 _recursive_pre_grad_passes:0.0305 pad_mm_benchmark:0.03752 _recursive_joint_graph_passes:0.97208 _recursive_post_grad_passes:0.46027 async_compile.wait:2.50293 code_gen:17.81789 inductor_compile:30.09029 backend_compile:37.24985 cudagraphify.get_container:0.0075 entire_backward_compile:9.8295 CachingAutotuner.benchmark_all_configs:0.0563 CUDAGraphNode.record:0.13474 total_wall_time:60.76758 2025-09-07T08:48:13.6665838Z STATS: call_* op count: 1003 | FakeTensorMode.__torch_dispatch__:41613 | FakeTensor.__torch_dispatch__:30653 | ProxyTorchDispatchMode.__torch_dispatch__:19571 2025-09-07T08:48:13.6666651Z Dynamo produced 3 graphs covering 1003 ops with 7 graph breaks (5 unique) 2025-09-07T08:48:18.4531250Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:48:18.4533013Z import pynvml # type: ignore[import] 2025-09-07T08:48:21.1101514Z 2025-09-07T08:48:28.8662951Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:48:28.8663296Z loading model: 0it [00:07, ?it/s] 2025-09-07T08:48:28.8663605Z cuda train sam 2025-09-07T08:48:28.8673636Z Traceback (most recent call last): 2025-09-07T08:48:28.8674283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T08:48:28.8674935Z self.model_iter_fn(model, example_inputs) 2025-09-07T08:48:28.8675788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 493, in forward_and_backward_pass 2025-09-07T08:48:28.8676376Z self.grad_scaler.scale(loss).backward() 2025-09-07T08:48:28.8676896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 625, in backward 2025-09-07T08:48:28.8677408Z torch.autograd.backward( 2025-09-07T08:48:28.8677932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 354, in backward 2025-09-07T08:48:28.8678462Z _engine_run_backward( 2025-09-07T08:48:28.8678998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 841, in _engine_run_backward 2025-09-07T08:48:28.8679788Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-09-07T08:48:28.8680439Z RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn 2025-09-07T08:48:28.8681173Z 2025-09-07T08:48:28.8681379Z The above exception was the direct cause of the following exception: 2025-09-07T08:48:28.8681672Z 2025-09-07T08:48:28.8681783Z Traceback (most recent call last): 2025-09-07T08:48:28.8682221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T08:48:28.8682667Z ) = runner.load_model( 2025-09-07T08:48:28.8683125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T08:48:28.8683647Z self.validate_model(model, example_inputs) 2025-09-07T08:48:28.8684155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T08:48:28.8684789Z raise RuntimeError("Eager run failed") from e 2025-09-07T08:48:28.8685112Z RuntimeError: Eager run failed 2025-09-07T08:48:28.8685284Z 2025-09-07T08:48:28.8685373Z eager_fail_to_run 2025-09-07T08:48:30.6953941Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:48:30.6955692Z import pynvml # type: ignore[import] 2025-09-07T08:48:33.3363342Z 2025-09-07T08:48:34.7267849Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:48:34.7268224Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:48:34.7268530Z cuda train shufflenet_v2_x1_0 2025-09-07T08:49:16.8994564Z Compilation time (from dynamo_timed): 39.489090095 2025-09-07T08:49:16.9016446Z pass 2025-09-07T08:49:16.9032405Z TIMING: gc:0.00612 entire_frame_compile:21.36139 _recursive_pre_grad_passes:0.00985 pad_mm_benchmark:0.21366 _recursive_joint_graph_passes:0.61302 _recursive_post_grad_passes:0.43335 async_compile.wait:1.18298 code_gen:16.75084 inductor_compile:24.26128 backend_compile:15.0321 cudagraphify.get_container:0.00213 entire_backward_compile:18.1277 CUDAGraphNode.record:0.06597 total_wall_time:39.48909 2025-09-07T08:49:16.9034285Z STATS: call_* op count: 275 | FakeTensorMode.__torch_dispatch__:26238 | FakeTensor.__torch_dispatch__:16930 | ProxyTorchDispatchMode.__torch_dispatch__:11979 2025-09-07T08:49:16.9035080Z Dynamo produced 2 graphs covering 275 ops with 6 graph breaks (5 unique) 2025-09-07T08:49:20.9464738Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:49:20.9466514Z import pynvml # type: ignore[import] 2025-09-07T08:49:23.5895025Z 2025-09-07T08:49:24.5199503Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:49:24.5199841Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:49:24.5200135Z cuda train soft_actor_critic 2025-09-07T08:49:29.9173581Z W0907 08:49:29.916000 54193 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T08:49:31.7814405Z Compilation time (from dynamo_timed): 6.0157703510000005 2025-09-07T08:49:31.7814781Z pass 2025-09-07T08:49:31.7818358Z TIMING: gc:0.00454 entire_frame_compile:5.14482 _recursive_pre_grad_passes:0.00919 pad_mm_benchmark:0.32622 _recursive_joint_graph_passes:0.51139 _recursive_post_grad_passes:0.0608 async_compile.precompile:0.84091 async_compile.wait:1.06674 code_gen:2.48084 inductor_compile:2.99553 backend_compile:4.28686 cudagraphify.get_container:0.00461 entire_backward_compile:0.87095 CUDAGraphNode.record:0.00674 total_wall_time:6.01577 2025-09-07T08:49:31.7820494Z STATS: call_* op count: 70 | FakeTensorMode.__torch_dispatch__:2481 | FakeTensor.__torch_dispatch__:1130 | ProxyTorchDispatchMode.__torch_dispatch__:945 2025-09-07T08:49:31.7821267Z Dynamo produced 4 graphs covering 70 ops with 6 graph breaks (5 unique) 2025-09-07T08:49:34.6367147Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:49:34.6369074Z import pynvml # type: ignore[import] 2025-09-07T08:49:37.3052887Z 2025-09-07T08:49:38.6644477Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:49:38.6645144Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:49:38.6645764Z cuda train speech_transformer 2025-09-07T08:49:54.0725399Z W0907 08:49:54.071000 54565 site-packages/torch/_inductor/utils.py:2298] [9/0_1] DeviceCopy in input program 2025-09-07T08:49:55.3498726Z cudagraph partition due to non gpu ops 2025-09-07T08:49:55.3499424Z cudagraph partition due to non gpu ops 2025-09-07T08:49:55.3500040Z cudagraph partition due to non gpu ops 2025-09-07T08:49:55.3500579Z cudagraph partition due to non gpu ops 2025-09-07T08:49:55.3500916Z cudagraph partition due to non gpu ops 2025-09-07T08:49:55.3501217Z cudagraph partition due to non gpu ops 2025-09-07T08:49:55.3501525Z cudagraph partition due to non gpu ops 2025-09-07T08:49:55.3501841Z cudagraph partition due to DeviceCopy ops 2025-09-07T08:49:55.3964439Z cudagraph partition into 2 partitions 2025-09-07T08:50:24.8750409Z W0907 08:50:24.874000 54565 site-packages/torch/_inductor/utils.py:2298] [15/0_1] DeviceCopy in input program 2025-09-07T08:50:26.8075175Z cudagraph partition due to non gpu ops 2025-09-07T08:50:26.8075521Z cudagraph partition due to non gpu ops 2025-09-07T08:50:26.8075854Z cudagraph partition due to non gpu ops 2025-09-07T08:50:26.8076155Z cudagraph partition due to non gpu ops 2025-09-07T08:50:26.8076456Z cudagraph partition due to non gpu ops 2025-09-07T08:50:26.8076757Z cudagraph partition due to non gpu ops 2025-09-07T08:50:26.8077065Z cudagraph partition due to non gpu ops 2025-09-07T08:50:26.8077481Z cudagraph partition due to non gpu ops 2025-09-07T08:50:26.8077810Z cudagraph partition due to non gpu ops 2025-09-07T08:50:26.8078099Z cudagraph partition due to non gpu ops 2025-09-07T08:50:26.8078388Z cudagraph partition due to non gpu ops 2025-09-07T08:50:26.8078678Z cudagraph partition due to non gpu ops 2025-09-07T08:50:26.8079119Z cudagraph partition due to non gpu ops 2025-09-07T08:50:26.8079510Z cudagraph partition due to DeviceCopy ops 2025-09-07T08:50:26.8830607Z cudagraph partition into 2 partitions 2025-09-07T08:50:32.7758112Z W0907 08:50:32.774000 54565 site-packages/torch/_inductor/utils.py:2298] [15/0_1] DeviceCopy in input program 2025-09-07T08:50:35.9200233Z cudagraph partition due to non gpu ops 2025-09-07T08:50:35.9200606Z cudagraph partition due to non gpu ops 2025-09-07T08:50:35.9200920Z cudagraph partition due to non gpu ops 2025-09-07T08:50:35.9201218Z cudagraph partition due to non gpu ops 2025-09-07T08:50:35.9201523Z cudagraph partition due to non gpu ops 2025-09-07T08:50:35.9201835Z cudagraph partition due to non gpu ops 2025-09-07T08:50:35.9202172Z cudagraph partition due to non gpu ops 2025-09-07T08:50:35.9202472Z cudagraph partition due to non gpu ops 2025-09-07T08:50:35.9202774Z cudagraph partition due to non gpu ops 2025-09-07T08:50:35.9203079Z cudagraph partition due to non gpu ops 2025-09-07T08:50:35.9203381Z cudagraph partition due to non gpu ops 2025-09-07T08:50:35.9203675Z cudagraph partition due to non gpu ops 2025-09-07T08:50:35.9203986Z cudagraph partition due to non gpu ops 2025-09-07T08:50:35.9204296Z cudagraph partition due to DeviceCopy ops 2025-09-07T08:50:36.0462837Z cudagraph partition into 2 partitions 2025-09-07T08:50:39.3567784Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/torchbench/torchbenchmark/models/speech_transformer/speech_transformer/transformer/decoder.py", line 126, in torch_dynamo_resume_in_forward_at_120 2025-09-07T08:50:39.3568954Z self.tgt_word_emb(ys_in_pad) * self.x_logit_scale 2025-09-07T08:50:39.3569533Z 2025-09-07T08:50:39.3569538Z 2025-09-07T08:55:40.3939787Z Run failed with return code: -11 2025-09-07T08:55:40.3942278Z Output: None 2025-09-07T08:55:40.3942817Z Error: None 2025-09-07T08:55:40.9837034Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:55:40.9838785Z import pynvml # type: ignore[import] 2025-09-07T08:55:43.6427880Z 2025-09-07T08:55:44.9718875Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:55:44.9719332Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:55:44.9719736Z cuda train squeezenet1_1 2025-09-07T08:56:05.0283980Z Compilation time (from dynamo_timed): 17.873743525000002 2025-09-07T08:56:05.0288364Z pass 2025-09-07T08:56:05.0305998Z TIMING: gc:0.00328 entire_frame_compile:7.0173 _recursive_pre_grad_passes:0.0054 _recursive_joint_graph_passes:0.19867 _recursive_post_grad_passes:0.09064 async_compile.wait:0.69044 code_gen:11.88668 inductor_compile:13.62831 backend_compile:5.39209 cudagraphify.get_container:0.00222 entire_backward_compile:10.85644 CUDAGraphNode.record:0.01259 total_wall_time:17.87374 2025-09-07T08:56:05.0308408Z STATS: call_* op count: 70 | FakeTensorMode.__torch_dispatch__:6301 | FakeTensor.__torch_dispatch__:2297 | ProxyTorchDispatchMode.__torch_dispatch__:2534 2025-09-07T08:56:05.0309184Z Dynamo produced 2 graphs covering 70 ops with 6 graph breaks (5 unique) 2025-09-07T08:56:08.2847366Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:56:08.2849019Z import pynvml # type: ignore[import] 2025-09-07T08:56:10.9507532Z 2025-09-07T08:56:12.8256324Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:56:12.8256645Z 2025-09-07T08:56:13.5921652Z Loading pipeline components...: 0% 0/6 [00:00 will be ignored 2025-09-07T08:58:57.2124176Z E0907 08:58:57.211000 57645 site-packages/torch/_dynamo/utils.py:3115] RMSE (res-fp64): 0.16035, (ref-fp64): 0.04711 and shape=torch.Size([320, 1152, 1, 1]). res.dtype: torch.float32, multiplier: 3.000000, tol: 0.080000, use_larger_multiplier_for_smaller_tensor: 1 2025-09-07T08:58:57.2126253Z E0907 08:58:57.211000 57645 site-packages/torch/_dynamo/utils.py:2976] Accuracy failed for key name blocks.6.0.conv_pwl.weight.grad 2025-09-07T08:58:57.2404742Z Compilation time (from dynamo_timed): 86.506149454 2025-09-07T08:58:57.2430667Z fail_accuracy 2025-09-07T08:58:57.2485086Z TIMING: gc:0.00581 entire_frame_compile:70.46716 _recursive_pre_grad_passes:0.03677 pad_mm_benchmark:0.03781 _recursive_joint_graph_passes:0.5984 _recursive_post_grad_passes:0.78245 async_compile.wait:2.6148 code_gen:26.44531 inductor_compile:46.19409 backend_compile:51.77112 cudagraphify.get_container:0.00321 entire_backward_compile:16.03899 CUDAGraphNode.record:0.2427 total_wall_time:86.50615 2025-09-07T08:58:57.2487066Z STATS: call_* op count: 1327 | FakeTensorMode.__torch_dispatch__:57553 | FakeTensor.__torch_dispatch__:44311 | ProxyTorchDispatchMode.__torch_dispatch__:25577 2025-09-07T08:58:57.2488283Z Dynamo produced 3 graphs covering 1327 ops with 7 graph breaks (5 unique) 2025-09-07T08:59:02.9837733Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:59:02.9841549Z import pynvml # type: ignore[import] 2025-09-07T08:59:05.6498083Z 2025-09-07T08:59:09.0565254Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:59:09.0565631Z loading model: 0it [00:03, ?it/s] 2025-09-07T08:59:09.0565928Z cuda train timm_regnet 2025-09-07T08:59:58.9555551Z W0907 08:59:58.954000 60800 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:00:56.8529402Z W0907 09:00:56.852000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8536350Z W0907 09:00:56.853000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8547384Z W0907 09:00:56.854000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8554314Z W0907 09:00:56.854000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8561384Z W0907 09:00:56.855000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8568569Z W0907 09:00:56.856000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8575630Z W0907 09:00:56.857000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8582533Z W0907 09:00:56.857000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8590156Z W0907 09:00:56.858000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8605386Z W0907 09:00:56.860000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8612571Z W0907 09:00:56.860000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8619841Z W0907 09:00:56.861000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8626940Z W0907 09:00:56.862000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8633938Z W0907 09:00:56.862000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8641299Z W0907 09:00:56.863000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8648633Z W0907 09:00:56.864000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8655686Z W0907 09:00:56.865000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8662926Z W0907 09:00:56.865000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8678531Z W0907 09:00:56.867000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8685639Z W0907 09:00:56.868000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8693543Z W0907 09:00:56.868000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8701062Z W0907 09:00:56.869000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8708140Z W0907 09:00:56.870000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8715728Z W0907 09:00:56.871000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8736713Z W0907 09:00:56.873000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.8743993Z W0907 09:00:56.873000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9275057Z W0907 09:00:56.926000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9281261Z W0907 09:00:56.927000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9287731Z W0907 09:00:56.928000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9295588Z W0907 09:00:56.929000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9303053Z W0907 09:00:56.929000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9310486Z W0907 09:00:56.930000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9317941Z W0907 09:00:56.931000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9325744Z W0907 09:00:56.932000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9333513Z W0907 09:00:56.932000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9340812Z W0907 09:00:56.933000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9357049Z W0907 09:00:56.935000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9364312Z W0907 09:00:56.936000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9372306Z W0907 09:00:56.936000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9379709Z W0907 09:00:56.937000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9387182Z W0907 09:00:56.938000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9394962Z W0907 09:00:56.939000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9402377Z W0907 09:00:56.939000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9410179Z W0907 09:00:56.940000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9417715Z W0907 09:00:56.941000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9427584Z W0907 09:00:56.942000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9439501Z W0907 09:00:56.943000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9447168Z W0907 09:00:56.944000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9455339Z W0907 09:00:56.945000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9462874Z W0907 09:00:56.945000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9470343Z W0907 09:00:56.946000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9478094Z W0907 09:00:56.947000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9498950Z W0907 09:00:56.949000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:56.9506248Z W0907 09:00:56.950000 60800 site-packages/torch/_dynamo/utils.py:3060] Found nan in reference. Consider running in higher precision. 2025-09-07T09:00:57.0667103Z Compilation time (from dynamo_timed): 96.999184562 2025-09-07T09:00:57.0700389Z pass 2025-09-07T09:00:57.1030396Z TIMING: gc:0.00736 entire_frame_compile:84.58478 _recursive_pre_grad_passes:0.04388 pad_mm_benchmark:0.21379 _recursive_joint_graph_passes:0.85744 _recursive_post_grad_passes:0.79203 async_compile.wait:2.53874 code_gen:26.56115 inductor_compile:47.29543 backend_compile:61.30827 cudagraphify.get_container:0.01377 entire_backward_compile:12.41441 CUDAGraphNode.record:0.34376 total_wall_time:96.99918 2025-09-07T09:00:57.1032274Z STATS: call_* op count: 1662 | FakeTensorMode.__torch_dispatch__:66846 | FakeTensor.__torch_dispatch__:49807 | ProxyTorchDispatchMode.__torch_dispatch__:31122 2025-09-07T09:00:57.1033072Z Dynamo produced 3 graphs covering 1662 ops with 7 graph breaks (5 unique) 2025-09-07T09:01:03.2065031Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:01:03.2066814Z import pynvml # type: ignore[import] 2025-09-07T09:01:05.8623341Z 2025-09-07T09:01:08.4416335Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:01:08.4416697Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:01:08.4417004Z cuda train timm_resnest 2025-09-07T09:01:43.4765675Z Compilation time (from dynamo_timed): 30.188879264 2025-09-07T09:01:43.4776280Z pass 2025-09-07T09:01:43.4862039Z TIMING: gc:0.00433 entire_frame_compile:13.56716 _recursive_pre_grad_passes:0.00681 pad_mm_benchmark:0.03831 _recursive_joint_graph_passes:0.32965 _recursive_post_grad_passes:0.37969 async_compile.wait:0.42612 code_gen:17.75598 inductor_compile:22.20763 backend_compile:10.41138 cudagraphify.get_container:0.0027 entire_backward_compile:16.62172 CUDAGraphNode.record:0.02437 total_wall_time:30.18888 2025-09-07T09:01:43.4864525Z STATS: call_* op count: 135 | FakeTensorMode.__torch_dispatch__:14267 | FakeTensor.__torch_dispatch__:8101 | ProxyTorchDispatchMode.__torch_dispatch__:6029 2025-09-07T09:01:43.4865500Z Dynamo produced 2 graphs covering 135 ops with 6 graph breaks (5 unique) 2025-09-07T09:01:47.3069975Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:01:47.3072071Z import pynvml # type: ignore[import] 2025-09-07T09:01:49.9572825Z 2025-09-07T09:01:52.1753170Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:01:52.1753822Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:01:52.1754450Z cuda train timm_vision_transformer 2025-09-07T09:02:18.1402083Z Compilation time (from dynamo_timed): 23.551982172 2025-09-07T09:02:18.1419090Z pass 2025-09-07T09:02:18.1607808Z TIMING: gc:0.00319 entire_frame_compile:15.71906 _recursive_pre_grad_passes:0.0093 pad_mm_benchmark:1.00295 _recursive_joint_graph_passes:1.73452 _recursive_post_grad_passes:0.6601 async_compile.wait:0.21929 code_gen:7.7886 inductor_compile:12.50353 backend_compile:11.94251 cudagraphify.get_container:0.0032 entire_backward_compile:7.83292 CUDAGraphNode.record:0.06611 total_wall_time:23.55198 2025-09-07T09:02:18.1609630Z STATS: call_* op count: 267 | FakeTensorMode.__torch_dispatch__:26085 | FakeTensor.__torch_dispatch__:12206 | ProxyTorchDispatchMode.__torch_dispatch__:10935 2025-09-07T09:02:18.1610432Z Dynamo produced 2 graphs covering 267 ops with 6 graph breaks (5 unique) 2025-09-07T09:02:21.6936958Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:02:21.6938613Z import pynvml # type: ignore[import] 2025-09-07T09:02:24.3573045Z 2025-09-07T09:02:37.5103708Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:02:37.5104050Z loading model: 0it [00:13, ?it/s] 2025-09-07T09:02:37.5104360Z cuda train timm_vision_transformer_large 2025-09-07T09:02:37.5359156Z Compilation time (from dynamo_timed): 0 2025-09-07T09:02:37.5359477Z pass_due_to_skip 2025-09-07T09:02:37.7984838Z TIMING: total_wall_time:0 2025-09-07T09:02:37.7985671Z STATS: call_* op count: 0 2025-09-07T09:02:37.7986764Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-09-07T09:02:39.6389292Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:02:39.6390951Z import pynvml # type: ignore[import] 2025-09-07T09:02:42.2757989Z 2025-09-07T09:02:44.8444269Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:02:44.8444762Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:02:44.8445136Z cuda train timm_vovnet 2025-09-07T09:03:22.6236249Z Compilation time (from dynamo_timed): 30.785717693000002 2025-09-07T09:03:22.6253471Z pass 2025-09-07T09:03:22.6431103Z TIMING: gc:0.00462 entire_frame_compile:16.44564 _recursive_pre_grad_passes:0.0077 pad_mm_benchmark:0.03869 _recursive_joint_graph_passes:0.32967 _recursive_post_grad_passes:0.29525 async_compile.wait:0.18933 code_gen:14.97196 inductor_compile:19.53328 backend_compile:11.43934 cudagraphify.get_container:0.00452 entire_backward_compile:14.34008 CUDAGraphNode.record:0.03936 total_wall_time:30.78572 2025-09-07T09:03:22.6433005Z STATS: call_* op count: 134 | FakeTensorMode.__torch_dispatch__:17687 | FakeTensor.__torch_dispatch__:11516 | ProxyTorchDispatchMode.__torch_dispatch__:8530 2025-09-07T09:03:22.6433800Z Dynamo produced 2 graphs covering 134 ops with 6 graph breaks (5 unique) 2025-09-07T09:03:26.5868306Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:03:26.5870051Z import pynvml # type: ignore[import] 2025-09-07T09:03:29.2500451Z 2025-09-07T09:03:31.3231423Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:03:31.3231775Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:03:31.3232088Z cuda train torch_multimodal_clip 2025-09-07T09:04:27.4689337Z 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 2025-09-07T09:04:27.4690857Z pred = mod(*cloned_inputs) 2025-09-07T09:04:27.4691556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchmultimodal/models/clip/model.py", line 72, in forward 2025-09-07T09:04:27.4692163Z embeddings_b = self.encoder_b(features_b) 2025-09-07T09:04:27.4692787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchmultimodal/models/clip/text_encoder.py", line 132, in forward 2025-09-07T09:04:27.4693503Z hidden_state[torch.arange(hidden_state.shape[0]), text.argmax(dim=-1)] 2025-09-07T09:04:27.4693822Z 2025-09-07T09:04:27.4693827Z 2025-09-07T09:04:27.7502325Z W0907 09:04:27.749000 66385 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:05:27.9902489Z Compilation time (from dynamo_timed): 110.577312295 2025-09-07T09:05:27.9938462Z pass 2025-09-07T09:05:28.0851129Z TIMING: gc:0.00658 entire_frame_compile:93.84871 _recursive_pre_grad_passes:0.04872 pad_mm_benchmark:0.35348 _recursive_joint_graph_passes:2.19895 _recursive_post_grad_passes:2.0589 async_compile.wait:2.65798 code_gen:35.15112 inductor_compile:61.12686 backend_compile:74.04497 cudagraphify.get_container:0.03682 entire_backward_compile:16.72861 CUDAGraphNode.record:0.0408 total_wall_time:110.57731 2025-09-07T09:05:34.5600767Z STATS: call_* op count: 1922 | FakeTensorMode.__torch_dispatch__:99795 | FakeTensor.__torch_dispatch__:56634 | ProxyTorchDispatchMode.__torch_dispatch__:42276 2025-09-07T09:05:34.5602130Z Dynamo produced 3 graphs covering 1922 ops with 7 graph breaks (5 unique) 2025-09-07T09:05:34.5604428Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:05:34.5606475Z import pynvml # type: ignore[import] 2025-09-07T09:05:37.2076260Z 2025-09-07T09:05:38.0010970Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:05:38.0011331Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:05:38.0011632Z cuda train tts_angular 2025-09-07T09:05:41.7948006Z W0907 09:05:41.793000 67748 site-packages/torch/_logging/_internal.py:1199] [10/0] Profiler function will be ignored 2025-09-07T09:05:45.8894805Z Compilation time (from dynamo_timed): 6.400904073 2025-09-07T09:05:45.8895156Z pass 2025-09-07T09:05:45.8970378Z TIMING: gc:0.00885 entire_frame_compile:6.01756 _recursive_pre_grad_passes:0.00853 _recursive_joint_graph_passes:0.17483 inductor_compile:3.44915 backend_compile:4.90876 _recursive_post_grad_passes:0.03593 async_compile.precompile:0.44419 async_compile.wait:1.51686 code_gen:2.66365 entire_backward_compile:0.38334 total_wall_time:6.4009 2025-09-07T09:05:45.8973677Z STATS: call_* op count: 102 | FakeTensorMode.__torch_dispatch__:2417 | ProxyTorchDispatchMode.__torch_dispatch__:982 | FakeTensor.__torch_dispatch__:1671 2025-09-07T09:05:45.8975242Z Dynamo produced 5 graphs covering 102 ops with 9 graph breaks (6 unique) 2025-09-07T09:05:48.7291270Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:05:48.7292929Z import pynvml # type: ignore[import] 2025-09-07T09:05:51.3917445Z 2025-09-07T09:05:54.4906456Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:05:54.4906862Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:05:54.4907232Z cuda train vgg16 2025-09-07T09:06:22.8311238Z Compilation time (from dynamo_timed): 11.435285788 2025-09-07T09:06:22.8313610Z pass 2025-09-07T09:06:22.8544742Z TIMING: gc:0.00326 entire_frame_compile:5.8061 _recursive_pre_grad_passes:0.00555 pad_mm_benchmark:0.57082 _recursive_joint_graph_passes:0.9361 _recursive_post_grad_passes:0.08043 async_compile.wait:0.53174 code_gen:6.36178 inductor_compile:7.48524 backend_compile:4.69481 cudagraphify.get_container:0.01085 CachingAutotuner.benchmark_all_configs:1.14071 entire_backward_compile:5.62918 CUDAGraphNode.record:0.00908 total_wall_time:11.43529 2025-09-07T09:06:22.8546748Z STATS: call_* op count: 44 | FakeTensorMode.__torch_dispatch__:4586 | FakeTensor.__torch_dispatch__:1382 | ProxyTorchDispatchMode.__torch_dispatch__:1690 2025-09-07T09:06:22.8547527Z Dynamo produced 2 graphs covering 44 ops with 6 graph breaks (5 unique) 2025-09-07T09:06:26.0122520Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:06:26.0124161Z import pynvml # type: ignore[import] 2025-09-07T09:06:28.6448485Z 2025-09-07T09:06:55.8670046Z 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 2025-09-07T09:06:55.8671943Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:06:55.8672896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:06:55.8673725Z v4 = masked_index(y_high, x_high) 2025-09-07T09:06:55.8674469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:06:55.8675042Z return input[ 2025-09-07T09:06:55.8675176Z 2025-09-07T09:06:55.8675181Z 2025-09-07T09:07:22.9793002Z 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 2025-09-07T09:07:22.9794782Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:07:22.9795678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:07:22.9796282Z v4 = masked_index(y_high, x_high) 2025-09-07T09:07:22.9796836Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:07:22.9797389Z return input[ 2025-09-07T09:07:22.9797528Z 2025-09-07T09:07:22.9797532Z 2025-09-07T09:07:47.8850358Z 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 2025-09-07T09:07:47.8851717Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:07:47.8852623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:07:47.8853390Z v4 = masked_index(y_high, x_high) 2025-09-07T09:07:47.8854040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:07:47.8854613Z return input[ 2025-09-07T09:07:47.8854802Z 2025-09-07T09:07:47.8854806Z 2025-09-07T09:08:12.1668706Z 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 2025-09-07T09:08:12.1669836Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:08:12.1670643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:08:12.1671247Z v4 = masked_index(y_high, x_high) 2025-09-07T09:08:12.1671806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:08:12.1672345Z return input[ 2025-09-07T09:08:12.1672481Z 2025-09-07T09:08:12.1672485Z 2025-09-07T09:08:36.6477253Z 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 2025-09-07T09:08:36.6478544Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:08:36.6479397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:08:36.6480015Z v4 = masked_index(y_high, x_high) 2025-09-07T09:08:36.6480655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:08:36.6481271Z return input[ 2025-09-07T09:08:36.6481405Z 2025-09-07T09:08:36.6481409Z 2025-09-07T09:09:00.8531797Z 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 2025-09-07T09:09:00.8533107Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:09:00.8534015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:09:00.8534676Z v4 = masked_index(y_high, x_high) 2025-09-07T09:09:00.8535273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:09:00.8535896Z return input[ 2025-09-07T09:09:00.8536362Z 2025-09-07T09:09:00.8536371Z 2025-09-07T09:09:36.0726682Z 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 2025-09-07T09:09:36.0728285Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:09:36.0729126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:09:36.0729764Z v4 = masked_index(y_high, x_high) 2025-09-07T09:09:36.0730320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:09:36.0730859Z return input[ 2025-09-07T09:09:36.0730992Z 2025-09-07T09:09:36.0730996Z 2025-09-07T09:09:46.4143038Z 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 2025-09-07T09:09:46.4144172Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:09:46.4144943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:09:46.4145555Z v4 = masked_index(y_high, x_high) 2025-09-07T09:09:46.4146112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:09:46.4147070Z return input[ 2025-09-07T09:09:46.4147208Z 2025-09-07T09:09:46.4147213Z 2025-09-07T09:09:48.3704289Z 2025-09-07T09:09:48.3704844Z loading model: 0it [03:19, ?it/s] 2025-09-07T09:09:48.3705350Z cuda train vision_maskrcnn 2025-09-07T09:09:49.2750816Z W0907 09:09:49.274000 69107 site-packages/torch/_dynamo/convert_frame.py:1358] [0/8] torch._dynamo hit config.recompile_limit (8) 2025-09-07T09:09:49.2751927Z W0907 09:09:49.274000 69107 site-packages/torch/_dynamo/convert_frame.py:1358] [0/8] function: '_roi_align' (/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py:114) 2025-09-07T09:09:49.2753072Z W0907 09:09:49.274000 69107 site-packages/torch/_dynamo/convert_frame.py:1358] [0/8] last reason: 0/7: tensor 'rois' dtype mismatch. expected Float, actual Double 2025-09-07T09:09:49.2754053Z W0907 09:09:49.274000 69107 site-packages/torch/_dynamo/convert_frame.py:1358] [0/8] To log all recompilation reasons, use TORCH_LOGS="recompiles". 2025-09-07T09:09:49.2755185Z W0907 09:09:49.274000 69107 site-packages/torch/_dynamo/convert_frame.py:1358] [0/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html 2025-09-07T09:10:21.7398759Z W0907 09:10:21.739000 69107 site-packages/torch/_inductor/utils.py:2298] [4/0_1] DeviceCopy in input program 2025-09-07T09:10:21.7408173Z W0907 09:10:21.740000 69107 site-packages/torch/_inductor/utils.py:2298] [4/0_1] DeviceCopy in input program 2025-09-07T09:10:21.7417889Z W0907 09:10:21.741000 69107 site-packages/torch/_inductor/utils.py:2298] [4/0_1] DeviceCopy in input program 2025-09-07T09:10:21.7427711Z W0907 09:10:21.742000 69107 site-packages/torch/_inductor/utils.py:2298] [4/0_1] DeviceCopy in input program 2025-09-07T09:10:21.7438433Z W0907 09:10:21.743000 69107 site-packages/torch/_inductor/utils.py:2298] [4/0_1] DeviceCopy in input program 2025-09-07T09:10:22.3599685Z cudagraph partition due to DeviceCopy ops. Found from : 2025-09-07T09:10:22.3603714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-09-07T09:10:22.3605467Z anchors = self.anchor_generator(images, features) 2025-09-07T09:10:22.3607009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward 2025-09-07T09:10:22.3608744Z cell_anchors = self.set_cell_anchors(dtype, device) 2025-09-07T09:10:22.3609554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-09-07T09:10:22.3610453Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T09:10:22.3611327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-09-07T09:10:22.3612188Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T09:10:22.3612640Z 2025-09-07T09:10:22.3612819Z cudagraph partition due to DeviceCopy ops. Found from : 2025-09-07T09:10:22.3613541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-09-07T09:10:22.3614194Z anchors = self.anchor_generator(images, features) 2025-09-07T09:10:22.3614892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward 2025-09-07T09:10:22.3615644Z cell_anchors = self.set_cell_anchors(dtype, device) 2025-09-07T09:10:22.3616416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-09-07T09:10:22.3617310Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T09:10:22.3618183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-09-07T09:10:22.3619562Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T09:10:22.3619940Z 2025-09-07T09:10:22.3620116Z cudagraph partition due to DeviceCopy ops. Found from : 2025-09-07T09:10:22.3620834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-09-07T09:10:22.3621545Z anchors = self.anchor_generator(images, features) 2025-09-07T09:10:22.3622277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward 2025-09-07T09:10:22.3622967Z cell_anchors = self.set_cell_anchors(dtype, device) 2025-09-07T09:10:22.3623705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-09-07T09:10:22.3624602Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T09:10:22.3625478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-09-07T09:10:22.3626341Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T09:10:22.3626785Z 2025-09-07T09:10:22.3626967Z cudagraph partition due to DeviceCopy ops. Found from : 2025-09-07T09:10:22.3627699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-09-07T09:10:22.3628394Z anchors = self.anchor_generator(images, features) 2025-09-07T09:10:22.3629078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward 2025-09-07T09:10:22.3629791Z cell_anchors = self.set_cell_anchors(dtype, device) 2025-09-07T09:10:22.3630555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-09-07T09:10:22.3631448Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T09:10:22.3632314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-09-07T09:10:22.3633425Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T09:10:22.3633859Z 2025-09-07T09:10:22.3634030Z cudagraph partition due to DeviceCopy ops. Found from : 2025-09-07T09:10:22.3634756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-09-07T09:10:22.3635447Z anchors = self.anchor_generator(images, features) 2025-09-07T09:10:22.3636146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward 2025-09-07T09:10:22.3636839Z cell_anchors = self.set_cell_anchors(dtype, device) 2025-09-07T09:10:22.3637619Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-09-07T09:10:22.3638508Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T09:10:22.3639385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-09-07T09:10:22.3640250Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-09-07T09:10:22.3640688Z 2025-09-07T09:10:22.3820103Z cudagraph partition into 2 partitions 2025-09-07T09:10:25.3099867Z W0907 09:10:25.308000 69107 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T09:10:25.3100875Z W0907 09:10:25.308000 69107 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T09:10:25.3102121Z W0907 09:10:25.308000 69107 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] or: 2025-09-07T09:10:25.3102868Z W0907 09:10:25.308000 69107 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T09:10:25.3103773Z W0907 09:10:25.308000 69107 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] to include these operations in the captured graph. 2025-09-07T09:10:25.3104526Z W0907 09:10:25.308000 69107 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] 2025-09-07T09:10:25.3105221Z W0907 09:10:25.308000 69107 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] Graph break: from user code at: 2025-09-07T09:10:25.3106517Z W0907 09:10:25.308000 69107 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 2025-09-07T09:10:25.3108042Z W0907 09:10:25.308000 69107 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] detections, detector_losses = self.roi_heads(features, proposals, images.image_sizes, targets) 2025-09-07T09:10:25.3109373Z W0907 09:10:25.308000 69107 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 2025-09-07T09:10:25.3110619Z W0907 09:10:25.308000 69107 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] box_features = self.box_roi_pool(features, proposals, image_shapes) 2025-09-07T09:10:25.3111793Z W0907 09:10:25.308000 69107 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 2025-09-07T09:10:25.3112900Z W0907 09:10:25.308000 69107 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] self.scales, self.map_levels = _setup_scales( 2025-09-07T09:10:25.3114037Z W0907 09:10:25.308000 69107 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 2025-09-07T09:10:25.3115241Z W0907 09:10:25.308000 69107 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] scales = [_infer_scale(feat, original_input_shape) for feat in features] 2025-09-07T09:10:25.3116587Z W0907 09:10:25.308000 69107 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 2025-09-07T09:10:25.3117774Z W0907 09:10:25.308000 69107 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] scales = [_infer_scale(feat, original_input_shape) for feat in features] 2025-09-07T09:10:25.3119242Z W0907 09:10:25.308000 69107 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 2025-09-07T09:10:25.3120407Z W0907 09:10:25.308000 69107 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] scale = 2 ** float(torch.tensor(approx_scale).log2().round()) 2025-09-07T09:10:25.3121177Z W0907 09:10:25.308000 69107 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] 2025-09-07T09:10:25.3121755Z W0907 09:10:25.308000 69107 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] 2025-09-07T09:10:25.8283783Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:10:25.8284858Z 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 2025-09-07T09:10:25.8285890Z lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item() 2025-09-07T09:10:25.8286302Z 2025-09-07T09:10:27.2246094Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:10:27.2247773Z 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 2025-09-07T09:10:27.2249057Z lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item() 2025-09-07T09:10:27.2249565Z 2025-09-07T09:10:41.0851599Z 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 2025-09-07T09:10:41.0853124Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-09-07T09:10:41.0853968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 264, in getattr_and_trace 2025-09-07T09:10:41.0854570Z return fn(*args[2:], **kwargs) 2025-09-07T09:10:41.0855115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-09-07T09:10:41.0855852Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:10:41.0856620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:10:41.0857214Z v4 = masked_index(y_high, x_high) 2025-09-07T09:10:41.0857771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:10:41.0858310Z return input[ 2025-09-07T09:10:41.0866326Z 2025-09-07T09:10:41.0866331Z 2025-09-07T09:10:51.6342122Z 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 2025-09-07T09:10:51.6343760Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-09-07T09:10:51.6344715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 264, in getattr_and_trace 2025-09-07T09:10:51.6345390Z return fn(*args[2:], **kwargs) 2025-09-07T09:10:51.6346003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-09-07T09:10:51.6347102Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:10:51.6347981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:10:51.6348665Z v4 = masked_index(y_high, x_high) 2025-09-07T09:10:51.6349300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:10:51.6349864Z return input[ 2025-09-07T09:10:51.6350051Z 2025-09-07T09:10:51.6350055Z 2025-09-07T09:11:04.5731157Z 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 2025-09-07T09:11:04.5732434Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-09-07T09:11:04.5733278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 264, in getattr_and_trace 2025-09-07T09:11:04.5733885Z return fn(*args[2:], **kwargs) 2025-09-07T09:11:04.5734424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-09-07T09:11:04.5735151Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:11:04.5735922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:11:04.5736860Z v4 = masked_index(y_high, x_high) 2025-09-07T09:11:04.5737418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:11:04.5737956Z return input[ 2025-09-07T09:11:04.5738098Z 2025-09-07T09:11:04.5738103Z 2025-09-07T09:12:10.9766375Z W0907 09:12:10.975000 69107 site-packages/torch/fx/experimental/symbolic_shapes.py:2396] [30/4] RecursionError in sympy.xreplace(Eq(Mod(2*s29, s93), 0), {s29: evaluate_static_shape_0 + 1, s93: evaluate_static_shape_1 + 1}) 2025-09-07T09:12:12.0962454Z 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 2025-09-07T09:12:12.0963746Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-09-07T09:12:12.0964709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 264, in getattr_and_trace 2025-09-07T09:12:12.0965320Z return fn(*args[2:], **kwargs) 2025-09-07T09:12:12.0965862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-09-07T09:12:12.0966605Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:12:12.0967371Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:12:12.0967972Z v4 = masked_index(y_high, x_high) 2025-09-07T09:12:12.0968526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:12:12.0969070Z return input[ 2025-09-07T09:12:12.0969206Z 2025-09-07T09:12:12.0969211Z 2025-09-07T09:12:25.8363542Z 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 2025-09-07T09:12:25.8365272Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-09-07T09:12:25.8367630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 264, in getattr_and_trace 2025-09-07T09:12:25.8368292Z return fn(*args[2:], **kwargs) 2025-09-07T09:12:25.8368906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-09-07T09:12:25.8369716Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:12:25.8370554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:12:25.8371242Z v4 = masked_index(y_high, x_high) 2025-09-07T09:12:25.8371851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:12:25.8372407Z return input[ 2025-09-07T09:12:25.8372550Z 2025-09-07T09:12:25.8372557Z 2025-09-07T09:12:52.4102066Z 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 2025-09-07T09:12:52.4103986Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-09-07T09:12:52.4105199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 264, in getattr_and_trace 2025-09-07T09:12:52.4106116Z return fn(*args[2:], **kwargs) 2025-09-07T09:12:52.4106915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-09-07T09:12:52.4108550Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:12:52.4109723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:12:52.4110611Z v4 = masked_index(y_high, x_high) 2025-09-07T09:12:52.4111516Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:12:52.4112326Z return input[ 2025-09-07T09:12:52.4112516Z 2025-09-07T09:12:52.4112523Z 2025-09-07T09:12:59.1343359Z 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 2025-09-07T09:12:59.1344722Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-09-07T09:12:59.1345568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 264, in getattr_and_trace 2025-09-07T09:12:59.1346171Z return fn(*args[2:], **kwargs) 2025-09-07T09:12:59.1346715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-09-07T09:12:59.1347452Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:12:59.1348221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:12:59.1348819Z v4 = masked_index(y_high, x_high) 2025-09-07T09:12:59.1349377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:12:59.1349917Z return input[ 2025-09-07T09:12:59.1350055Z 2025-09-07T09:12:59.1350065Z 2025-09-07T09:13:08.3441038Z 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 2025-09-07T09:13:08.3442340Z mask = F.interpolate(mask, size=(h, w), mode="bilinear", align_corners=False) 2025-09-07T09:13:08.3442665Z 2025-09-07T09:13:08.3443023Z 2025-09-07T09:13:10.3539097Z 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 2025-09-07T09:13:10.3540381Z mask = F.interpolate(mask, size=(h, w), mode="bilinear", align_corners=False) 2025-09-07T09:13:10.3540698Z 2025-09-07T09:13:10.3540702Z 2025-09-07T09:13:11.5640176Z 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 2025-09-07T09:13:11.5641966Z masks_probs = maskrcnn_inference(mask_logits, labels) 2025-09-07T09:13:11.5643047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 79, in maskrcnn_inference 2025-09-07T09:13:11.5644087Z mask_prob = mask_prob[index, labels][:, None] 2025-09-07T09:13:11.5644509Z 2025-09-07T09:13:11.5644515Z 2025-09-07T09:13:13.8972640Z 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 2025-09-07T09:13:13.8974570Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-09-07T09:13:13.8976155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 264, in getattr_and_trace 2025-09-07T09:13:13.8977064Z return fn(*args[2:], **kwargs) 2025-09-07T09:13:13.8977858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-09-07T09:13:13.8978986Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:13:13.8980142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:13:13.8981052Z v4 = masked_index(y_high, x_high) 2025-09-07T09:13:13.8981882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:13:13.8982707Z return input[ 2025-09-07T09:13:13.8982908Z 2025-09-07T09:13:13.8982914Z 2025-09-07T09:13:17.8198324Z 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 2025-09-07T09:13:17.8199483Z features = self.backbone(images.tensors) 2025-09-07T09:13:17.8200143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/backbone_utils.py", line 58, in forward 2025-09-07T09:13:17.8200773Z x = self.fpn(x) 2025-09-07T09:13:17.8201324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/feature_pyramid_network.py", line 194, in forward 2025-09-07T09:13:17.8202053Z inner_top_down = F.interpolate(last_inner, size=feat_shape, mode="nearest") 2025-09-07T09:13:17.8202385Z 2025-09-07T09:13:17.8202390Z 2025-09-07T09:13:18.3159714Z W0907 09:13:18.315000 69107 site-packages/torch/_dynamo/convert_frame.py:1358] [30/8] torch._dynamo hit config.recompile_limit (8) 2025-09-07T09:13:18.3161741Z W0907 09:13:18.315000 69107 site-packages/torch/_dynamo/convert_frame.py:1358] [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) 2025-09-07T09:13:18.3163996Z W0907 09:13:18.315000 69107 site-packages/torch/_dynamo/convert_frame.py:1358] [30/8] last reason: 30/7: tensor 'rois' requires_grad mismatch. expected requires_grad=1 2025-09-07T09:13:18.3166497Z W0907 09:13:18.315000 69107 site-packages/torch/_dynamo/convert_frame.py:1358] [30/8] To log all recompilation reasons, use TORCH_LOGS="recompiles". 2025-09-07T09:13:18.3168521Z W0907 09:13:18.315000 69107 site-packages/torch/_dynamo/convert_frame.py:1358] [30/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html 2025-09-07T09:13:23.7258585Z 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 2025-09-07T09:13:23.7259766Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:13:23.7260546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:13:23.7261153Z v4 = masked_index(y_high, x_high) 2025-09-07T09:13:23.7261723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:13:23.7262263Z return input[ 2025-09-07T09:13:23.7262407Z 2025-09-07T09:13:23.7262411Z 2025-09-07T09:13:59.7154501Z 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 2025-09-07T09:13:59.7155648Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:13:59.7156856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:13:59.7157470Z v4 = masked_index(y_high, x_high) 2025-09-07T09:13:59.7158023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:13:59.7158570Z return input[ 2025-09-07T09:13:59.7158713Z 2025-09-07T09:13:59.7158732Z 2025-09-07T09:14:22.4505348Z 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 2025-09-07T09:14:22.4506580Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-09-07T09:14:22.4507472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-09-07T09:14:22.4508211Z v4 = masked_index(y_high, x_high) 2025-09-07T09:14:22.4508846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-09-07T09:14:22.4509469Z return input[ 2025-09-07T09:14:22.4509614Z 2025-09-07T09:14:22.4509618Z 2025-09-07T09:14:24.1111206Z Compilation time (from dynamo_timed): 267.227537467 2025-09-07T09:14:24.1140861Z pass 2025-09-07T09:14:24.1866823Z TIMING: gc:0.05152 entire_frame_compile:259.39451 _recursive_pre_grad_passes:0.04153 _recursive_joint_graph_passes:2.04095 inductor_compile:92.52888 backend_compile:155.05386 _recursive_post_grad_passes:1.43488 async_compile.wait:7.97092 code_gen:38.02586 cudagraphify.get_container:0.02565 pad_mm_benchmark:0.38829 entire_backward_compile:7.83302 CUDAGraphNode.record:0.04871 total_wall_time:267.22754 2025-09-07T09:14:24.1869161Z STATS: call_* op count: 3588 | FakeTensor.__torch_dispatch__:44982 | FakeTensorMode.__torch_dispatch__:129598 | attempt fast:2042 | slow no contiguity match:201 | fast is_contiguous:1458 | slow both tensors nontrivially broadcast:383 | ProxyTorchDispatchMode.__torch_dispatch__:43755 2025-09-07T09:14:24.1870363Z Dynamo produced 41 graphs covering 1604 ops with 39 graph breaks (9 unique) 2025-09-07T09:14:44.6355826Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:14:44.6357478Z import pynvml # type: ignore[import] 2025-09-07T09:14:47.3117532Z 2025-09-07T09:14:50.3155721Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:14:50.3156044Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:14:50.3156343Z cuda train yolov3 2025-09-07T09:15:36.9129841Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:36.9130714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-09-07T09:15:36.9131415Z pred = mod(*cloned_inputs) 2025-09-07T09:15:36.9131854Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-09-07T09:15:36.9132318Z return self.forward_once(x) 2025-09-07T09:15:36.9132771Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once 2025-09-07T09:15:36.9133270Z yolo_out.append(module(x, out)) 2025-09-07T09:15:36.9133712Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward 2025-09-07T09:15:36.9134214Z self.grid = self.create_grids((nx, ny), p.device) 2025-09-07T09:15:36.9134721Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids 2025-09-07T09:15:36.9135235Z self.ng = torch.tensor(ng, dtype=torch.float) 2025-09-07T09:15:36.9135461Z 2025-09-07T09:15:36.9135615Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:36.9136742Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-09-07T09:15:36.9137390Z pred = mod(*cloned_inputs) 2025-09-07T09:15:36.9137820Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-09-07T09:15:36.9138315Z return self.forward_once(x) 2025-09-07T09:15:36.9138783Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once 2025-09-07T09:15:36.9139258Z yolo_out.append(module(x, out)) 2025-09-07T09:15:36.9139703Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward 2025-09-07T09:15:36.9140200Z self.grid = self.create_grids((nx, ny), p.device) 2025-09-07T09:15:36.9140704Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids 2025-09-07T09:15:36.9141207Z self.ng = torch.tensor(ng, dtype=torch.float) 2025-09-07T09:15:36.9141443Z 2025-09-07T09:15:36.9141589Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:36.9142285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486 2025-09-07T09:15:36.9142930Z pred = mod(*cloned_inputs) 2025-09-07T09:15:36.9143359Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-09-07T09:15:36.9143813Z return self.forward_once(x) 2025-09-07T09:15:36.9144258Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once 2025-09-07T09:15:36.9144735Z yolo_out.append(module(x, out)) 2025-09-07T09:15:36.9145180Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward 2025-09-07T09:15:36.9145663Z self.grid = self.create_grids((nx, ny), p.device) 2025-09-07T09:15:36.9146163Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids 2025-09-07T09:15:36.9146677Z self.ng = torch.tensor(ng, dtype=torch.float) 2025-09-07T09:15:36.9146897Z 2025-09-07T09:15:37.1989709Z cudagraph partition into 2 partitions 2025-09-07T09:16:20.1217544Z 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 2025-09-07T09:16:20.1219414Z pred = mod(*cloned_inputs) 2025-09-07T09:16:20.1219887Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-09-07T09:16:20.1220349Z return self.forward_once(x) 2025-09-07T09:16:20.1220793Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 374, in forward_once 2025-09-07T09:16:20.1221253Z x = module(x) 2025-09-07T09:16:20.1221391Z 2025-09-07T09:16:20.1221395Z 2025-09-07T09:16:20.8905287Z W0907 09:16:20.889000 73663 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:17:18.7158312Z 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 2025-09-07T09:17:18.7159398Z pred = mod(*cloned_inputs) 2025-09-07T09:17:18.7159884Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-09-07T09:17:18.7160371Z return self.forward_once(x) 2025-09-07T09:17:18.7160846Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 374, in forward_once 2025-09-07T09:17:18.7161326Z x = module(x) 2025-09-07T09:17:18.7161463Z 2025-09-07T09:17:18.7161467Z 2025-09-07T09:17:21.0578793Z Compilation time (from dynamo_timed): 133.85634313 2025-09-07T09:17:21.0624157Z pass 2025-09-07T09:17:21.1034085Z TIMING: gc:0.0081 entire_frame_compile:103.08968 _recursive_pre_grad_passes:0.0491 _recursive_joint_graph_passes:0.71421 _recursive_post_grad_passes:1.00123 async_compile.wait:3.87047 code_gen:51.06455 inductor_compile:74.88126 backend_compile:73.70433 cudagraphify.get_container:0.02445 CachingAutotuner.benchmark_all_configs:0.24652 entire_backward_compile:30.76667 CUDAGraphNode.record:0.01263 total_wall_time:133.85634 2025-09-07T09:17:21.1037361Z STATS: call_* op count: 1826 | FakeTensorMode.__torch_dispatch__:67749 | FakeTensor.__torch_dispatch__:55915 | ProxyTorchDispatchMode.__torch_dispatch__:29078 2025-09-07T09:17:21.1038161Z Dynamo produced 4 graphs covering 1826 ops with 8 graph breaks (5 unique) 2025-09-07T09:17:27.0528090Z accuracy pass_rate=76.32% 2025-09-07T09:17:27.0532244Z calls_captured gmean=0.00x mean=514.447x 2025-09-07T09:17:27.0536466Z unique_graphs gmean=0.00x mean=3.395x 2025-09-07T09:17:27.0540593Z graph_breaks gmean=0.00x mean=6.395x 2025-09-07T09:17:27.0545481Z unique_graph_breaks gmean=0.00x mean=4.342x 2025-09-07T09:17:27.0549690Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:17:27.0553763Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:17:27.0557783Z cudagraph_skips gmean=0.00x mean=0.368x 2025-09-07T09:17:27.0558477Z compilation_latency mean=42.613 seconds 2025-09-07T09:17:29.7881403Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/training_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_training.csv 2025-09-07T09:17:30.1288596Z llava XFAIL 2025-09-07T09:17:30.1291268Z maml_omniglot PASS 2025-09-07T09:17:30.1296019Z microbench_unbacked_tolist_sum PASS 2025-09-07T09:17:30.1300762Z mnasnet1_0 PASS 2025-09-07T09:17:30.1305741Z mobilenet_v2 PASS 2025-09-07T09:17:30.1310373Z mobilenet_v2_quantized_qat XFAIL 2025-09-07T09:17:30.1315211Z mobilenet_v3_large PASS 2025-09-07T09:17:30.1319849Z moco PASS 2025-09-07T09:17:30.1324739Z nanogpt PASS 2025-09-07T09:17:30.1329817Z nvidia_deeprecommender PASS 2025-09-07T09:17:30.1334395Z opacus_cifar10 XFAIL 2025-09-07T09:17:30.1339107Z phlippe_densenet PASS 2025-09-07T09:17:30.1343870Z phlippe_resnet PASS 2025-09-07T09:17:30.1348456Z pytorch_CycleGAN_and_pix2pix PASS 2025-09-07T09:17:30.1353500Z pytorch_stargan PASS 2025-09-07T09:17:30.1357849Z pytorch_unet XFAIL 2025-09-07T09:17:30.1362472Z resnet152 PASS 2025-09-07T09:17:30.1367612Z resnet18 PASS 2025-09-07T09:17:30.1372019Z resnet50 PASS 2025-09-07T09:17:30.1376663Z resnet50_quantized_qat XFAIL 2025-09-07T09:17:30.1381290Z resnext50_32x4d PASS 2025-09-07T09:17:30.1385975Z sam XFAIL 2025-09-07T09:17:30.1390638Z shufflenet_v2_x1_0 PASS 2025-09-07T09:17:30.1395260Z soft_actor_critic PASS 2025-09-07T09:17:30.1399879Z squeezenet1_1 PASS 2025-09-07T09:17:30.1404647Z stable_diffusion_text_encoder PASS 2025-09-07T09:17:30.1409445Z stable_diffusion_unet XFAIL 2025-09-07T09:17:30.1414018Z timm_efficientnet XFAIL 2025-09-07T09:17:30.1418942Z timm_regnet PASS 2025-09-07T09:17:30.1423548Z timm_resnest PASS 2025-09-07T09:17:30.1428196Z timm_vision_transformer PASS 2025-09-07T09:17:30.1432667Z timm_vision_transformer_large XFAIL 2025-09-07T09:17:30.1437461Z timm_vovnet PASS 2025-09-07T09:17:30.1441691Z torch_multimodal_clip PASS 2025-09-07T09:17:30.1446454Z tts_angular PASS 2025-09-07T09:17:30.1451004Z vgg16 PASS 2025-09-07T09:17:30.1455884Z vision_maskrcnn PASS 2025-09-07T09:17:30.1460163Z yolov3 PASS 2025-09-07T09:17:30.2000359Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/workspace/test/test-reports/training_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_training.csv 2025-09-07T09:17:30.5408688Z llava PASS 2025-09-07T09:17:30.5409214Z maml_omniglot PASS 2025-09-07T09:17:30.5409572Z microbench_unbacked_tolist_sum PASS 2025-09-07T09:17:30.5415477Z mnasnet1_0 PASS 2025-09-07T09:17:30.5420731Z mobilenet_v2 PASS 2025-09-07T09:17:30.5426660Z mobilenet_v2_quantized_qat PASS 2025-09-07T09:17:30.5432437Z mobilenet_v3_large PASS 2025-09-07T09:17:30.5438418Z moco PASS 2025-09-07T09:17:30.5445148Z nanogpt PASS 2025-09-07T09:17:30.5449721Z nvidia_deeprecommender PASS 2025-09-07T09:17:30.5454774Z opacus_cifar10 PASS 2025-09-07T09:17:30.5460013Z phlippe_densenet PASS 2025-09-07T09:17:30.5465155Z phlippe_resnet PASS 2025-09-07T09:17:30.5470338Z pytorch_CycleGAN_and_pix2pix PASS 2025-09-07T09:17:30.5475383Z pytorch_stargan PASS 2025-09-07T09:17:30.5480543Z pytorch_unet PASS 2025-09-07T09:17:30.5485749Z resnet152 PASS 2025-09-07T09:17:30.5490679Z resnet18 PASS 2025-09-07T09:17:30.5495743Z resnet50 PASS 2025-09-07T09:17:30.5500861Z resnet50_quantized_qat PASS 2025-09-07T09:17:30.5505891Z resnext50_32x4d PASS 2025-09-07T09:17:30.5510962Z sam PASS 2025-09-07T09:17:30.5515973Z shufflenet_v2_x1_0 PASS 2025-09-07T09:17:30.5521153Z soft_actor_critic PASS 2025-09-07T09:17:30.5526397Z squeezenet1_1 PASS 2025-09-07T09:17:30.5531500Z stable_diffusion_text_encoder PASS 2025-09-07T09:17:30.5536520Z stable_diffusion_unet PASS 2025-09-07T09:17:30.5541520Z timm_efficientnet PASS 2025-09-07T09:17:30.5546499Z timm_regnet PASS 2025-09-07T09:17:30.5551461Z timm_resnest PASS 2025-09-07T09:17:30.5556648Z timm_vision_transformer PASS 2025-09-07T09:17:30.5561927Z timm_vision_transformer_large PASS 2025-09-07T09:17:30.5566905Z timm_vovnet PASS 2025-09-07T09:17:30.5571803Z torch_multimodal_clip PASS 2025-09-07T09:17:30.5576826Z tts_angular PASS 2025-09-07T09:17:30.5581782Z vgg16 PASS 2025-09-07T09:17:30.5586907Z vision_maskrcnn PASS 2025-09-07T09:17:30.5591892Z yolov3 PASS_BUT_FLAKY 2025-09-07T09:17:30.6233301Z + sccache_epilogue 2025-09-07T09:17:30.6237447Z + echo '::group::Sccache Compilation Log' 2025-09-07T09:17:30.6238046Z ##[group]Sccache Compilation Log 2025-09-07T09:17:30.6238379Z + echo '=================== sccache compilation log ===================' 2025-09-07T09:17:30.6238764Z =================== sccache compilation log =================== 2025-09-07T09:17:30.6243815Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-09-07T09:17:30.6855929Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-09-07T09:17:30.6856579Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-09-07T09:17:30.6857025Z + sccache --show-stats 2025-09-07T09:17:30.6946809Z Compile requests 95 2025-09-07T09:17:30.6947217Z Compile requests executed 0 2025-09-07T09:17:30.6947555Z Cache hits 0 2025-09-07T09:17:30.6947869Z Cache misses 0 2025-09-07T09:17:30.6948423Z Cache hits rate - 2025-09-07T09:17:30.6948697Z Cache timeouts 0 2025-09-07T09:17:30.6948967Z Cache read errors 0 2025-09-07T09:17:30.6949237Z Forced recaches 0 2025-09-07T09:17:30.6949501Z Cache write errors 0 2025-09-07T09:17:30.6949768Z Cache errors 0 2025-09-07T09:17:30.6950046Z Compilations 0 2025-09-07T09:17:30.6950322Z Compilation failures 0 2025-09-07T09:17:30.6950604Z Non-cacheable compilations 0 2025-09-07T09:17:30.6950892Z Non-cacheable calls 6 2025-09-07T09:17:30.6951172Z Non-compilation calls 89 2025-09-07T09:17:30.6951462Z Unsupported compiler calls 0 2025-09-07T09:17:30.6951746Z Average cache write 0.000 s 2025-09-07T09:17:30.6952037Z Average compiler 0.000 s 2025-09-07T09:17:30.6952331Z Average cache read hit 0.000 s 2025-09-07T09:17:30.6952632Z Failed distributed compilations 0 2025-09-07T09:17:30.6952829Z 2025-09-07T09:17:30.6952930Z Non-cacheable reasons: 2025-09-07T09:17:30.6953162Z -E 6 2025-09-07T09:17:30.6953353Z 2025-09-07T09:17:30.6953569Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-09-07T09:17:30.6953977Z Version (client) 0.10.0 2025-09-07T09:17:30.6954256Z + sccache --stop-server 2025-09-07T09:17:30.6976467Z Stopping sccache server... 2025-09-07T09:17:30.6979751Z Compile requests 95 2025-09-07T09:17:30.6980098Z Compile requests executed 0 2025-09-07T09:17:30.6980465Z Cache hits 0 2025-09-07T09:17:30.6980740Z Cache misses 0 2025-09-07T09:17:30.6981012Z Cache hits rate - 2025-09-07T09:17:30.6981312Z Cache timeouts 0 2025-09-07T09:17:30.6981607Z Cache read errors 0 2025-09-07T09:17:30.6981890Z Forced recaches 0 2025-09-07T09:17:30.6982158Z Cache write errors 0 2025-09-07T09:17:30.6982435Z Cache errors 0 2025-09-07T09:17:30.6982707Z Compilations 0 2025-09-07T09:17:30.6982986Z Compilation failures 0 2025-09-07T09:17:30.6983269Z Non-cacheable compilations 0 2025-09-07T09:17:30.6984839Z Non-cacheable calls 6 2025-09-07T09:17:30.6985140Z Non-compilation calls 89 2025-09-07T09:17:30.6985431Z Unsupported compiler calls 0 2025-09-07T09:17:30.6985716Z Average cache write 0.000 s 2025-09-07T09:17:30.6986008Z Average compiler 0.000 s 2025-09-07T09:17:30.6986307Z Average cache read hit 0.000 s 2025-09-07T09:17:30.6986728Z Failed distributed compilations 0 2025-09-07T09:17:30.6986932Z 2025-09-07T09:17:30.6987027Z Non-cacheable reasons: 2025-09-07T09:17:30.6987282Z -E 6 2025-09-07T09:17:30.6987475Z 2025-09-07T09:17:30.6987696Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-09-07T09:17:30.6988121Z Version (client) 0.10.0 2025-09-07T09:17:30.6988438Z + echo ::endgroup:: 2025-09-07T09:17:30.6988977Z ##[endgroup] 2025-09-07T09:17:30.6989185Z + cleanup_workspace 2025-09-07T09:17:30.6989636Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-09-07T09:17:30.6990336Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-09-07T09:17:30.6990900Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-09-07T09:17:30.6991324Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-09-07T09:17:30.6991811Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-09-07T09:17:30.6992345Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-09-07T09:17:30.6992879Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-09-07T09:17:31.7763780Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-09-07T09:17:31.7764209Z with: 2025-09-07T09:17:31.7764556Z benchmark-results-dir: test/test-reports 2025-09-07T09:17:31.7764845Z dry-run: false 2025-09-07T09:17:31.7765061Z schema-version: v3 2025-09-07T09:17:31.7765499Z github-token: *** 2025-09-07T09:17:31.7765704Z env: 2025-09-07T09:17:31.7765896Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:17:31.7766198Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:17:31.7766714Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:17:31.7767163Z ##[endgroup] 2025-09-07T09:17:31.7793846Z ##[group]Run set -eux 2025-09-07T09:17:31.7794124Z set -eux 2025-09-07T09:17:31.7794333Z  2025-09-07T09:17:31.7794537Z if [[ -n "" ]]; then 2025-09-07T09:17:31.7794807Z  source "" 2025-09-07T09:17:31.7795038Z fi 2025-09-07T09:17:31.7795395Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T09:17:31.7795788Z  2025-09-07T09:17:31.7795985Z DEVICE_NAME="" 2025-09-07T09:17:31.7796231Z DEVICE_TYPE="" 2025-09-07T09:17:31.7796464Z  2025-09-07T09:17:31.7796685Z if command -v nvidia-smi; then 2025-09-07T09:17:31.7797095Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-09-07T09:17:31.7797623Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-09-07T09:17:31.7798119Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-09-07T09:17:31.7798520Z  python3 -mpip install torch==2.7.1 2025-09-07T09:17:31.7798837Z elif command -v rocminfo; then 2025-09-07T09:17:31.7799242Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-09-07T09:17:31.7799762Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-09-07T09:17:31.7800269Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-09-07T09:17:31.7800726Z  # GPU device name coming from rocminfo instead 2025-09-07T09:17:31.7801053Z  DEVICE_NAME=rocm 2025-09-07T09:17:31.7801500Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-09-07T09:17:31.7802006Z fi 2025-09-07T09:17:31.7802202Z  2025-09-07T09:17:31.7802446Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-09-07T09:17:31.7802824Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T09:17:31.7819227Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:17:31.7819581Z env: 2025-09-07T09:17:31.7819791Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:17:31.7820101Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:17:31.7820636Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:17:31.7821100Z ##[endgroup] 2025-09-07T09:17:31.7860405Z + [[ -n '' ]] 2025-09-07T09:17:31.7861235Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T09:17:32.1142179Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:17:33.2883249Z Collecting boto3==1.35.33 2025-09-07T09:17:33.3040180Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T09:17:33.6480780Z Collecting psutil==7.0.0 2025-09-07T09:17:33.6512334Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-09-07T09:17:33.6806519Z Collecting pynvml==12.0.0 2025-09-07T09:17:33.6834883Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T09:17:33.7328435Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T09:17:33.7355712Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T09:17:35.0228873Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T09:17:35.0258115Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T09:17:35.1765621Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-09-07T09:17:35.2223674Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T09:17:35.2252905Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T09:17:35.2348192Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-09-07T09:17:35.2353314Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-09-07T09:17:35.3848803Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-09-07T09:17:35.5219075Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-09-07T09:17:36.0813967Z Attempting uninstall: nvidia-ml-py 2025-09-07T09:17:36.0815620Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T09:17:36.0830922Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T09:17:36.1080227Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T09:17:36.1644391Z Attempting uninstall: psutil 2025-09-07T09:17:36.1645024Z Found existing installation: psutil 5.9.8 2025-09-07T09:17:36.1734057Z Uninstalling psutil-5.9.8: 2025-09-07T09:17:36.1742450Z Successfully uninstalled psutil-5.9.8 2025-09-07T09:17:36.3402662Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-09-07T09:17:36.4675035Z + DEVICE_NAME= 2025-09-07T09:17:36.4675312Z + DEVICE_TYPE= 2025-09-07T09:17:36.4675543Z + command -v nvidia-smi 2025-09-07T09:17:36.4675866Z + python3 -mpip install torch==2.7.1 2025-09-07T09:17:36.4676184Z /usr/bin/nvidia-smi 2025-09-07T09:17:36.7033849Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:17:37.0016213Z Collecting torch==2.7.1 2025-09-07T09:17:37.0338604Z Downloading torch-2.7.1-cp39-cp39-manylinux_2_28_x86_64.whl (821.1 MB) 2025-09-07T09:17:49.2184335Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-09-07T09:17:49.2273182Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-09-07T09:17:51.4177628Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-09-07T09:17:51.4264789Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-09-07T09:17:53.8697373Z Collecting networkx 2025-09-07T09:17:53.8783110Z Downloading networkx-3.2.1-py3-none-any.whl (1.6 MB) 2025-09-07T09:17:53.9459949Z Collecting triton==3.3.1 2025-09-07T09:17:53.9552147Z Downloading triton-3.3.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-09-07T09:17:55.4247262Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-09-07T09:17:55.4334412Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-09-07T09:17:55.5515016Z Collecting nvidia-nccl-cu12==2.26.2 2025-09-07T09:17:55.5609775Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-09-07T09:17:57.7482943Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-09-07T09:17:57.7571324Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-09-07T09:17:57.8105752Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-09-07T09:17:57.8192972Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-09-07T09:18:02.9136445Z Requirement already satisfied: jinja2 in /usr/lib/python3.9/site-packages (from torch==2.7.1) (2.11.3) 2025-09-07T09:18:02.9140965Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from torch==2.7.1) (4.15.0) 2025-09-07T09:18:02.9655919Z Collecting sympy>=1.13.3 2025-09-07T09:18:02.9743473Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-09-07T09:18:03.0785585Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-09-07T09:18:03.0871803Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-09-07T09:18:03.3518771Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-09-07T09:18:03.3605638Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-09-07T09:18:04.8536297Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-09-07T09:18:04.8624384Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-09-07T09:18:06.3230778Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-09-07T09:18:06.3317617Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-09-07T09:18:06.3870299Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-09-07T09:18:06.3957143Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-09-07T09:18:14.3883708Z Collecting filelock 2025-09-07T09:18:14.3969933Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-09-07T09:18:14.4367230Z Collecting nvidia-nvtx-cu12==12.6.77 2025-09-07T09:18:14.4457268Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-09-07T09:18:14.4884517Z Collecting nvidia-curand-cu12==10.3.7.77 2025-09-07T09:18:14.4974010Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-09-07T09:18:15.0421661Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-09-07T09:18:15.0507883Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-09-07T09:18:15.3070854Z Collecting fsspec 2025-09-07T09:18:15.3159303Z Downloading fsspec-2025.9.0-py3-none-any.whl (199 kB) 2025-09-07T09:18:15.3494510Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3.9/site-packages (from triton==3.3.1->torch==2.7.1) (59.6.0) 2025-09-07T09:18:15.3853330Z Collecting mpmath<1.4,>=1.1.0 2025-09-07T09:18:15.3941010Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-09-07T09:18:15.4885070Z Requirement already satisfied: MarkupSafe>=0.23 in /usr/lib64/python3.9/site-packages (from jinja2->torch==2.7.1) (1.1.1) 2025-09-07T09:18:15.8485161Z Installing collected packages: nvidia-nvjitlink-cu12, nvidia-cusparse-cu12, nvidia-cublas-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nccl-cu12, nvidia-cusparselt-cu12, nvidia-cusolver-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, networkx, fsspec, filelock, torch 2025-09-07T09:18:25.2376132Z WARNING: The scripts proton and proton-viewer are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-09-07T09:18:25.2376996Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T09:18:29.3059887Z WARNING: The script isympy is installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-09-07T09:18:29.3060659Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T09:19:01.3376266Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-09-07T09:19:01.3377120Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T09:19:01.5719282Z Successfully installed filelock-3.19.1 fsspec-2025.9.0 mpmath-1.3.0 networkx-3.2.1 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1 2025-09-07T09:19:02.2452427Z + echo DEVICE_NAME= 2025-09-07T09:19:02.2453057Z + echo DEVICE_TYPE= 2025-09-07T09:19:02.2480582Z ##[group]Run set -eux 2025-09-07T09:19:02.2480832Z set -eux 2025-09-07T09:19:02.2481080Z  2025-09-07T09:19:02.2481308Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T09:19:02.2481636Z  echo "Missing github-token input" 2025-09-07T09:19:02.2481932Z  exit 1 2025-09-07T09:19:02.2482130Z fi 2025-09-07T09:19:02.2493939Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:19:02.2494300Z env: 2025-09-07T09:19:02.2494516Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:02.2494855Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:02.2495383Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:02.2495856Z DEVICE_NAME: 2025-09-07T09:19:02.2496082Z DEVICE_TYPE: 2025-09-07T09:19:02.2496498Z GITHUB_TOKEN: *** 2025-09-07T09:19:02.2496729Z ##[endgroup] 2025-09-07T09:19:02.2628504Z + [[ -z *** ]] 2025-09-07T09:19:02.2722995Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T09:19:02.2723404Z with: 2025-09-07T09:19:02.2723739Z github-token: *** 2025-09-07T09:19:02.2723943Z env: 2025-09-07T09:19:02.2724131Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:02.2724491Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:02.2725006Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:02.2725456Z DEVICE_NAME: 2025-09-07T09:19:02.2725659Z DEVICE_TYPE: 2025-09-07T09:19:02.2725868Z ##[endgroup] 2025-09-07T09:19:02.2780249Z ##[group]Run set -eux 2025-09-07T09:19:02.2780496Z set -eux 2025-09-07T09:19:02.2780700Z  2025-09-07T09:19:02.2781129Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T09:19:02.2790334Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:19:02.2790668Z env: 2025-09-07T09:19:02.2790877Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:02.2791306Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:02.2791821Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:02.2792272Z DEVICE_NAME: 2025-09-07T09:19:02.2792475Z DEVICE_TYPE: 2025-09-07T09:19:02.2792805Z GITHUB_TOKEN: *** 2025-09-07T09:19:02.2793013Z ##[endgroup] 2025-09-07T09:19:02.2829165Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17524754606 i-01adaa3a40ced2b96 2025-09-07T09:19:03.6520322Z setting job-id=49775796136 2025-09-07T09:19:03.6520875Z setting job-name=inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-09-07T09:19:03.6758844Z ##[group]Run set -eux 2025-09-07T09:19:03.6759098Z set -eux 2025-09-07T09:19:03.6759292Z  2025-09-07T09:19:03.6759493Z if [[ -n "" ]]; then 2025-09-07T09:19:03.6759738Z  source "" 2025-09-07T09:19:03.6759948Z fi 2025-09-07T09:19:03.6760128Z  2025-09-07T09:19:03.6760475Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T09:19:03.6760958Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T09:19:03.6761278Z  --repo "${REPO}" \ 2025-09-07T09:19:03.6761550Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T09:19:03.6761853Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T09:19:03.6762163Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T09:19:03.6762687Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T09:19:03.6763141Z  --job-id "${JOB_ID}" \ 2025-09-07T09:19:03.6763422Z  --job-name "${JOB_NAME}" 2025-09-07T09:19:03.6772456Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:19:03.6772793Z env: 2025-09-07T09:19:03.6772988Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:03.6773298Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:03.6773805Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:03.6774258Z DEVICE_NAME: 2025-09-07T09:19:03.6774462Z DEVICE_TYPE: 2025-09-07T09:19:03.6774666Z SCHEMA_VERSION: v3 2025-09-07T09:19:03.6774886Z REPO: pytorch/pytorch 2025-09-07T09:19:03.6775128Z HEAD_BRANCH: refs/heads/main 2025-09-07T09:19:03.6775424Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:19:03.6775739Z WORKFLOW_RUN_ID: 17524754606 2025-09-07T09:19:03.6775985Z RUN_ATTEMPT: 1 2025-09-07T09:19:03.6776184Z JOB_ID: 49775796136 2025-09-07T09:19:03.6776578Z JOB_NAME: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-09-07T09:19:03.6777010Z ##[endgroup] 2025-09-07T09:19:03.6808712Z + [[ -n '' ]] 2025-09-07T09:19:03.6811189Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 93fb23d6fae7c4e82c4239a1033e522088742634 --workflow-id 17524754606 --run-attempt 1 --job-id 49775796136 --job-name 'inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)' 2025-09-07T09:19:03.7307568Z ##[group]Run set -eux 2025-09-07T09:19:03.7307833Z set -eux 2025-09-07T09:19:03.7308040Z  2025-09-07T09:19:03.7308246Z if [[ -n "" ]]; then 2025-09-07T09:19:03.7308527Z  source "" 2025-09-07T09:19:03.7308789Z fi 2025-09-07T09:19:03.7308984Z  2025-09-07T09:19:03.7309352Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T09:19:03.7318748Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:19:03.7319202Z env: 2025-09-07T09:19:03.7319404Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:03.7319718Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:03.7320233Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:03.7320698Z DEVICE_NAME: 2025-09-07T09:19:03.7320913Z DEVICE_TYPE: 2025-09-07T09:19:03.7321122Z ##[endgroup] 2025-09-07T09:19:03.7350348Z + [[ -n '' ]] 2025-09-07T09:19:03.7351094Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T09:19:04.7840735Z /home/ec2-user/.local/lib/python3.9/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-09-07T09:19:04.7841841Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-09-07T09:19:05.8163001Z ##[group]Run set -eux 2025-09-07T09:19:05.8163256Z set -eux 2025-09-07T09:19:05.8163466Z  2025-09-07T09:19:05.8163694Z # TODO (huydhn): Implement this part 2025-09-07T09:19:05.8164048Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:19:05.8173278Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:19:05.8173611Z env: 2025-09-07T09:19:05.8173800Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:05.8174103Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:05.8174608Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:05.8175055Z DEVICE_NAME: 2025-09-07T09:19:05.8175436Z DEVICE_TYPE: 2025-09-07T09:19:05.8175628Z ##[endgroup] 2025-09-07T09:19:05.8207683Z + echo 'dependencies={}' 2025-09-07T09:19:05.8240141Z ##[group]Run set -eux 2025-09-07T09:19:05.8240402Z set -eux 2025-09-07T09:19:05.8240616Z  2025-09-07T09:19:05.8240824Z if [[ -n "" ]]; then 2025-09-07T09:19:05.8241073Z  source "" 2025-09-07T09:19:05.8241294Z fi 2025-09-07T09:19:05.8241497Z  2025-09-07T09:19:05.8241745Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T09:19:05.8242144Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T09:19:05.8242594Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T09:19:05.8242949Z  exit 0 2025-09-07T09:19:05.8243161Z fi 2025-09-07T09:19:05.8243351Z  2025-09-07T09:19:05.8243578Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T09:19:05.8244016Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T09:19:05.8244633Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T09:19:05.8245029Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T09:19:05.8245355Z  --runners "${RUNNER_INFO}" \ 2025-09-07T09:19:05.8245678Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T09:19:05.8245983Z  --dry-run 2025-09-07T09:19:05.8246218Z else 2025-09-07T09:19:05.8246564Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T09:19:05.8247060Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T09:19:05.8247448Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T09:19:05.8247778Z  --runners "${RUNNER_INFO}" \ 2025-09-07T09:19:05.8248092Z  --dependencies "${DEPENDENCIES}" 2025-09-07T09:19:05.8248388Z fi 2025-09-07T09:19:05.8256370Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:19:05.8256720Z env: 2025-09-07T09:19:05.8256923Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:05.8257233Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:05.8257748Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:05.8258214Z DEVICE_NAME: 2025-09-07T09:19:05.8258428Z DEVICE_TYPE: 2025-09-07T09:19:05.8258661Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T09:19:05.8258952Z DRY_RUN: false 2025-09-07T09:19:05.8260183Z BENCHMARK_METADATA: {"timestamp": 1757236743, "schema_version": "v3", "name": "inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17524754606, "run_attempt": 1, "job_id": 49775796136} 2025-09-07T09:19:05.8261859Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 62, "extra_info": {"hostname": "ip-10-0-37-127.ec2.internal"}, "name": "cuda", "type": "NVIDIA A10G", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}] 2025-09-07T09:19:05.8262587Z DEPENDENCIES: {} 2025-09-07T09:19:05.8262811Z ##[endgroup] 2025-09-07T09:19:05.8291111Z + [[ -n '' ]] 2025-09-07T09:19:05.8291444Z + [[ ! -d test/test-reports ]] 2025-09-07T09:19:05.8291769Z + [[ false == \t\r\u\e ]] 2025-09-07T09:19:05.8294607Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1757236743, "schema_version": "v3", "name": "inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17524754606, "run_attempt": 1, "job_id": 49775796136}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 62, "extra_info": {"hostname": "ip-10-0-37-127.ec2.internal"}, "name": "cuda", "type": "NVIDIA A10G", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}]' --dependencies '{}' 2025-09-07T09:19:06.0031402Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17524754606/49775796136/inference_torchbench.json 2025-09-07T09:19:06.0453809Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T09:19:06.2331966Z INFO:root:Upload test/test-reports/training_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17524754606/49775796136/training_torchbench.json 2025-09-07T09:19:06.3819051Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T09:19:06.3819544Z cat test/**/*_toprint.log || true 2025-09-07T09:19:06.3828664Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:19:06.3829007Z env: 2025-09-07T09:19:06.3829201Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:06.3829561Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:06.3830088Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:06.3830533Z DEVICE_NAME: 2025-09-07T09:19:06.3830734Z DEVICE_TYPE: 2025-09-07T09:19:06.3830933Z ##[endgroup] 2025-09-07T09:19:06.3946863Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T09:19:06.3989076Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T09:19:06.3989456Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T09:19:06.3998356Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:19:06.3998687Z env: 2025-09-07T09:19:06.3998882Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:06.3999188Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:06.3999697Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:06.4000139Z DEVICE_NAME: 2025-09-07T09:19:06.4000340Z DEVICE_TYPE: 2025-09-07T09:19:06.4000565Z MONITOR_SCRIPT_PID: 63150 2025-09-07T09:19:06.4000811Z ##[endgroup] 2025-09-07T09:19:06.4146036Z Prepare all required actions 2025-09-07T09:19:06.4146429Z Getting action download info 2025-09-07T09:19:06.5500999Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T09:19:06.7924306Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T09:19:07.2543350Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T09:19:07.2543676Z with: 2025-09-07T09:19:07.2544043Z file-suffix: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_49775796136 2025-09-07T09:19:07.2544498Z s3-bucket: gha-artifacts 2025-09-07T09:19:07.2544727Z env: 2025-09-07T09:19:07.2544913Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:07.2545212Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:07.2545724Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:07.2546188Z DEVICE_NAME: 2025-09-07T09:19:07.2546416Z DEVICE_TYPE: 2025-09-07T09:19:07.2546614Z ##[endgroup] 2025-09-07T09:19:07.2575507Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T09:19:07.2575934Z # Remove any previous test jsons if they exist 2025-09-07T09:19:07.2576289Z rm -f test-jsons-*.zip 2025-09-07T09:19:07.2576683Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T09:19:07.2585698Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:19:07.2586048Z env: 2025-09-07T09:19:07.2586255Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:07.2586568Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:07.2587080Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:07.2598866Z DEVICE_NAME: 2025-09-07T09:19:07.2599100Z DEVICE_TYPE: 2025-09-07T09:19:07.2599496Z FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_49775796136 2025-09-07T09:19:07.2600158Z ##[endgroup] 2025-09-07T09:19:07.2836332Z adding: test/test-reports/inference_torchbench.json (deflated 99%) 2025-09-07T09:19:07.2887143Z adding: test/test-reports/training_torchbench.json (deflated 99%) 2025-09-07T09:19:07.2920818Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T09:19:07.2921268Z # Remove any previous test reports if they exist 2025-09-07T09:19:07.2921622Z rm -f test-reports-*.zip 2025-09-07T09:19:07.2922050Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T09:19:07.2931468Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:19:07.2931800Z env: 2025-09-07T09:19:07.2931998Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:07.2932302Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:07.2932809Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:07.2933274Z DEVICE_NAME: 2025-09-07T09:19:07.2933488Z DEVICE_TYPE: 2025-09-07T09:19:07.2933866Z FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_49775796136 2025-09-07T09:19:07.2934298Z ##[endgroup] 2025-09-07T09:19:07.3021623Z adding: test/test-reports/inference_torchbench.csv (deflated 63%) 2025-09-07T09:19:07.3025583Z adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 93%) 2025-09-07T09:19:07.3027635Z adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 78%) 2025-09-07T09:19:07.3028209Z adding: test/test-reports/training_torchbench.csv (deflated 61%) 2025-09-07T09:19:07.3041850Z adding: test/test-reports/training_torchbench_graph_breaks.csv (deflated 97%) 2025-09-07T09:19:07.3044114Z adding: test/test-reports/training_torchbench_graph_break_deduped.csv (deflated 80%) 2025-09-07T09:19:07.3074273Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T09:19:07.3074692Z # Remove any previous usage logs if they exist 2025-09-07T09:19:07.3075211Z rm -f logs-*.zip 2025-09-07T09:19:07.3075534Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T09:19:07.3075989Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T09:19:07.3084273Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:19:07.3084756Z env: 2025-09-07T09:19:07.3084950Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:07.3085248Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:07.3085755Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:07.3086204Z DEVICE_NAME: 2025-09-07T09:19:07.3086407Z DEVICE_TYPE: 2025-09-07T09:19:07.3086783Z FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_49775796136 2025-09-07T09:19:07.3087209Z ##[endgroup] 2025-09-07T09:19:07.3285109Z adding: usage_log.txt (deflated 96%) 2025-09-07T09:19:07.3300090Z 2025-09-07T09:19:07.3300460Z zip error: Nothing to do! (logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_49775796136.zip) 2025-09-07T09:19:07.3330303Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T09:19:07.3330781Z # Remove any previous debugging artifacts if they exist 2025-09-07T09:19:07.3331156Z rm -f debug-*.zip 2025-09-07T09:19:07.3331415Z if [ -d 'test/debug' ]; then 2025-09-07T09:19:07.3331732Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T09:19:07.3332036Z fi 2025-09-07T09:19:07.3340618Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:19:07.3340971Z env: 2025-09-07T09:19:07.3341170Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:07.3341481Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:07.3342000Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:07.3342459Z DEVICE_NAME: 2025-09-07T09:19:07.3342850Z DEVICE_TYPE: 2025-09-07T09:19:07.3343240Z FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_49775796136 2025-09-07T09:19:07.3343681Z ##[endgroup] 2025-09-07T09:19:07.3434286Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:19:07.3434579Z with: 2025-09-07T09:19:07.3434779Z s3-bucket: gha-artifacts 2025-09-07T09:19:07.3435077Z s3-prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T09:19:07.3435394Z retention-days: 14 2025-09-07T09:19:07.3435624Z if-no-files-found: warn 2025-09-07T09:19:07.3435882Z path: test-jsons-*.zip 2025-09-07T09:19:07.3436115Z name: artifact 2025-09-07T09:19:07.3436328Z region: us-east-1 2025-09-07T09:19:07.3436525Z env: 2025-09-07T09:19:07.3436728Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:07.3437037Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:07.3437548Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:07.3438014Z DEVICE_NAME: 2025-09-07T09:19:07.3438215Z DEVICE_TYPE: 2025-09-07T09:19:07.3438426Z ##[endgroup] 2025-09-07T09:19:07.7090425Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T09:19:07.7090865Z With the provided path, there will be 1 file uploaded 2025-09-07T09:19:07.7091292Z Uploading to s3 prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T09:19:07.7163542Z Starting upload of test-jsons-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_49775796136.zip 2025-09-07T09:19:07.8373822Z Finished upload of test-jsons-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_49775796136.zip 2025-09-07T09:19:07.8666367Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:19:07.8666678Z with: 2025-09-07T09:19:07.8666888Z s3-bucket: gha-artifacts 2025-09-07T09:19:07.8667189Z s3-prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T09:19:07.8667508Z retention-days: 14 2025-09-07T09:19:07.8667749Z if-no-files-found: error 2025-09-07T09:19:07.8668005Z path: test-reports-*.zip 2025-09-07T09:19:07.8668269Z name: artifact 2025-09-07T09:19:07.8668682Z region: us-east-1 2025-09-07T09:19:07.8668894Z env: 2025-09-07T09:19:07.8669094Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:07.8669406Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:07.8669946Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:07.8670431Z DEVICE_NAME: 2025-09-07T09:19:07.8670635Z DEVICE_TYPE: 2025-09-07T09:19:07.8670842Z ##[endgroup] 2025-09-07T09:19:08.2035387Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T09:19:08.2035841Z With the provided path, there will be 1 file uploaded 2025-09-07T09:19:08.2036266Z Uploading to s3 prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T09:19:08.2107460Z Starting upload of test-reports-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_49775796136.zip 2025-09-07T09:19:08.3266079Z Finished upload of test-reports-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_49775796136.zip 2025-09-07T09:19:08.3558698Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:19:08.3558999Z with: 2025-09-07T09:19:08.3559201Z s3-bucket: gha-artifacts 2025-09-07T09:19:08.3559497Z s3-prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T09:19:08.3559816Z retention-days: 14 2025-09-07T09:19:08.3560047Z if-no-files-found: ignore 2025-09-07T09:19:08.3560293Z path: logs-*.zip 2025-09-07T09:19:08.3560497Z name: artifact 2025-09-07T09:19:08.3560703Z region: us-east-1 2025-09-07T09:19:08.3560897Z env: 2025-09-07T09:19:08.3561084Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:08.3561392Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:08.3561900Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:08.3562343Z DEVICE_NAME: 2025-09-07T09:19:08.3562545Z DEVICE_TYPE: 2025-09-07T09:19:08.3562742Z ##[endgroup] 2025-09-07T09:19:08.6933929Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T09:19:08.6934620Z With the provided path, there will be 1 file uploaded 2025-09-07T09:19:08.6935031Z Uploading to s3 prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T09:19:08.7006747Z Starting upload of logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_49775796136.zip 2025-09-07T09:19:08.8386874Z Finished upload of logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_49775796136.zip 2025-09-07T09:19:08.8680557Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:19:08.8680871Z with: 2025-09-07T09:19:08.8681084Z s3-bucket: gha-artifacts 2025-09-07T09:19:08.8681382Z s3-prefix: pytorch/pytorch/17524754606/1/artifact 2025-09-07T09:19:08.8681705Z retention-days: 14 2025-09-07T09:19:08.8681950Z if-no-files-found: ignore 2025-09-07T09:19:08.8682205Z path: debug-*.zip 2025-09-07T09:19:08.8682423Z name: artifact 2025-09-07T09:19:08.8682638Z region: us-east-1 2025-09-07T09:19:08.8682851Z env: 2025-09-07T09:19:08.8683050Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:08.8683391Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:08.8683905Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:08.8684365Z DEVICE_NAME: 2025-09-07T09:19:08.8684751Z DEVICE_TYPE: 2025-09-07T09:19:08.8684952Z ##[endgroup] 2025-09-07T09:19:09.1938532Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T09:19:09.2251154Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T09:19:09.2251512Z # shellcheck disable=SC2156 2025-09-07T09:19:09.2252044Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T09:19:09.2261189Z shell: /usr/bin/bash -e {0} 2025-09-07T09:19:09.2261444Z env: 2025-09-07T09:19:09.2261643Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:09.2261955Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:09.2262460Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:09.2262932Z DEVICE_NAME: 2025-09-07T09:19:09.2263144Z DEVICE_TYPE: 2025-09-07T09:19:09.2263352Z ##[endgroup] 2025-09-07T09:19:09.6164229Z Prepare all required actions 2025-09-07T09:19:09.6164773Z Getting action download info 2025-09-07T09:19:09.7381101Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T09:19:09.7381421Z with: 2025-09-07T09:19:09.7381607Z job_id: 49775796136 2025-09-07T09:19:09.7381992Z job_name: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-09-07T09:19:09.7382434Z workflow_name: inductor 2025-09-07T09:19:09.7382669Z workflow_run_id: 17524754606 2025-09-07T09:19:09.7382916Z workflow_attempt: 1 2025-09-07T09:19:09.7383127Z env: 2025-09-07T09:19:09.7383307Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:09.7383607Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:09.7384110Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:09.7384565Z DEVICE_NAME: 2025-09-07T09:19:09.7384765Z DEVICE_TYPE: 2025-09-07T09:19:09.7384953Z ##[endgroup] 2025-09-07T09:19:09.7406066Z ##[group]Run echo "workflow_id: 17524754606" 2025-09-07T09:19:09.7406400Z echo "workflow_id: 17524754606" 2025-09-07T09:19:09.7406698Z echo "workflow_attempt: 1" 2025-09-07T09:19:09.7406984Z echo "workflow_Name: inductor" 2025-09-07T09:19:09.7407284Z echo "job_id: 49775796136" 2025-09-07T09:19:09.7407771Z echo "job_name: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)" 2025-09-07T09:19:09.7408276Z echo "artifact_prefix: " 2025-09-07T09:19:09.7408555Z python3 --version 2025-09-07T09:19:09.7417430Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:19:09.7417771Z env: 2025-09-07T09:19:09.7417964Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:09.7418267Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:09.7419215Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:09.7419662Z DEVICE_NAME: 2025-09-07T09:19:09.7419869Z DEVICE_TYPE: 2025-09-07T09:19:09.7420065Z ##[endgroup] 2025-09-07T09:19:09.7451262Z workflow_id: 17524754606 2025-09-07T09:19:09.7451600Z workflow_attempt: 1 2025-09-07T09:19:09.7451906Z workflow_Name: inductor 2025-09-07T09:19:09.7452208Z job_id: 49775796136 2025-09-07T09:19:09.7452595Z job_name: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-09-07T09:19:09.7453032Z artifact_prefix: 2025-09-07T09:19:09.7466197Z Python 3.9.23 2025-09-07T09:19:09.7523932Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T09:19:09.7524220Z with: 2025-09-07T09:19:09.7524481Z shell: bash 2025-09-07T09:19:09.7524689Z timeout_minutes: 5 2025-09-07T09:19:09.7524909Z max_attempts: 5 2025-09-07T09:19:09.7525121Z retry_wait_seconds: 30 2025-09-07T09:19:09.7525615Z 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 2025-09-07T09:19:09.7526158Z polling_interval_seconds: 1 2025-09-07T09:19:09.7526420Z warning_on_retry: true 2025-09-07T09:19:09.7526651Z continue_on_error: false 2025-09-07T09:19:09.7526867Z env: 2025-09-07T09:19:09.7527050Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:09.7527343Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:09.7527847Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:09.7528283Z DEVICE_NAME: 2025-09-07T09:19:09.7528479Z DEVICE_TYPE: 2025-09-07T09:19:09.7528671Z ##[endgroup] 2025-09-07T09:19:10.1008344Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:19:10.1843510Z Collecting python-dateutil==2.8.2 2025-09-07T09:19:10.2170075Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T09:19:11.3722231Z Collecting boto3==1.35.42 2025-09-07T09:19:11.3821693Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T09:19:11.9851774Z Collecting pandas==2.1.3 2025-09-07T09:19:11.9969433Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T09:19:12.1428729Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-09-07T09:19:12.1444308Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-09-07T09:19:12.1490107Z 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) 2025-09-07T09:19:12.1494404Z 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) 2025-09-07T09:19:12.1498225Z 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) 2025-09-07T09:19:13.1651019Z Collecting numpy<2,>=1.22.4 2025-09-07T09:19:13.1742206Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T09:19:13.3964022Z Collecting tzdata>=2022.1 2025-09-07T09:19:13.4055078Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T09:19:13.4170014Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-09-07T09:19:13.4201043Z 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) 2025-09-07T09:19:13.4205758Z 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) 2025-09-07T09:19:13.4262896Z 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) 2025-09-07T09:19:13.4376621Z 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) 2025-09-07T09:19:13.4479535Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0) 2025-09-07T09:19:13.4483141Z 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) 2025-09-07T09:19:13.7729670Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-09-07T09:19:18.7754908Z Attempting uninstall: boto3 2025-09-07T09:19:18.7755997Z Found existing installation: boto3 1.35.33 2025-09-07T09:19:18.7887251Z Uninstalling boto3-1.35.33: 2025-09-07T09:19:18.7904223Z Successfully uninstalled boto3-1.35.33 2025-09-07T09:19:18.8556245Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-09-07T09:19:19.8385813Z Command completed after 1 attempt(s). 2025-09-07T09:19:19.8461723Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T09:19:19.8464579Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T09:19:19.8465046Z  --workflow-run-id "17524754606" \ 2025-09-07T09:19:19.8465371Z  --workflow-name "inductor" \ 2025-09-07T09:19:19.8465691Z  --workflow-run-attempt "1" \ 2025-09-07T09:19:19.8465994Z  --job-id "49775796136" \ 2025-09-07T09:19:19.8466476Z  --job-name "inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)" \ 2025-09-07T09:19:19.8466967Z  --local-path "" \ 2025-09-07T09:19:19.8467243Z  --artifact-prefix "" 2025-09-07T09:19:19.8476125Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:19:19.8476509Z env: 2025-09-07T09:19:19.8476715Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:19.8477018Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:19.8477759Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:19.8478228Z DEVICE_NAME: 2025-09-07T09:19:19.8478434Z DEVICE_TYPE: 2025-09-07T09:19:19.8478631Z ##[endgroup] 2025-09-07T09:19:22.4657061Z repo: pytorch/pytorch 2025-09-07T09:19:22.4657401Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T09:19:22.4657957Z Downloading logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_49775796136.zip 2025-09-07T09:19:22.4658747Z extracting usage_log.txt from zip file logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_49775796136.zip 2025-09-07T09:19:22.4659351Z Converted Log Model: UtilizationMetadata: 2025-09-07T09:19:22.4660621Z UtilizationMetadata(level='metadata', workflow_id='17524754606', job_id='49775796136', workflow_name='inductor', job_name='inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1757232197, gpu_count=1, cpu_count=16, gpu_type='pynvml', error=None) 2025-09-07T09:19:22.4661939Z [Db Segments] detected pytest cmd: 18, generated segments: 18 2025-09-07T09:19:22.4662314Z [db model] Peek db timeseries 2025-09-07T09:19:22.4662572Z :{ 2025-09-07T09:19:22.4662774Z "created_at": 1757236761, 2025-09-07T09:19:22.4663030Z "type": "utilization", 2025-09-07T09:19:22.4663273Z "tags": [ 2025-09-07T09:19:22.4663477Z "record" 2025-09-07T09:19:22.4663685Z ], 2025-09-07T09:19:22.4663880Z "time_stamp": 1757232197, 2025-09-07T09:19:22.4664173Z "repo": "pytorch/pytorch", 2025-09-07T09:19:22.4664458Z "workflow_id": 17524754606, 2025-09-07T09:19:22.4664714Z "run_attempt": 1, 2025-09-07T09:19:22.4664938Z "job_id": 49775796136, 2025-09-07T09:19:22.4665191Z "workflow_name": "inductor", 2025-09-07T09:19:22.4665637Z "job_name": "inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)", 2025-09-07T09:19:22.4666358Z "json_data": "{}" 2025-09-07T09:19:22.4666573Z } 2025-09-07T09:19:22.4667037Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17524754606/1/49775796136/metadata 2025-09-07T09:19:22.4667859Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17524754606/1/49775796136/metadata 2025-09-07T09:19:22.4668709Z Writing 902 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17524754606/1/49775796136/time_series 2025-09-07T09:19:22.4669579Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17524754606/1/49775796136/time_series 2025-09-07T09:19:22.5839859Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-09-07T09:19:22.5840250Z with: 2025-09-07T09:19:22.5840425Z env: 2025-09-07T09:19:22.5840603Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:22.5840924Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:22.5841425Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:22.5841865Z DEVICE_NAME: 2025-09-07T09:19:22.5842064Z DEVICE_TYPE: 2025-09-07T09:19:22.5842250Z ##[endgroup] 2025-09-07T09:19:22.5866810Z ##[group]Run set -eou pipefail 2025-09-07T09:19:22.5867100Z set -eou pipefail 2025-09-07T09:19:22.5867334Z  2025-09-07T09:19:22.5867662Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-09-07T09:19:22.5868065Z for _ in $(seq 1440); do 2025-09-07T09:19:22.5868366Z  # Break if no ssh session exists anymore 2025-09-07T09:19:22.5868708Z  if [ "$(who)" = "" ]; then 2025-09-07T09:19:22.5868967Z  break 2025-09-07T09:19:22.5869178Z  fi 2025-09-07T09:19:22.5869386Z  echo "." 2025-09-07T09:19:22.5869603Z  sleep 5 2025-09-07T09:19:22.5869811Z done 2025-09-07T09:19:22.5878635Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:19:22.5878967Z env: 2025-09-07T09:19:22.5879160Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:22.5879458Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:22.5879971Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:22.5880421Z DEVICE_NAME: 2025-09-07T09:19:22.5880623Z DEVICE_TYPE: 2025-09-07T09:19:22.5880835Z ##[endgroup] 2025-09-07T09:19:22.5924630Z Holding runner for 2 hours until all ssh sessions have logged out 2025-09-07T09:19:22.6026553Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T09:19:22.6027080Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T09:19:22.6027469Z # shellcheck disable=SC2046 2025-09-07T09:19:22.6027778Z docker stop $(docker ps -q) || true 2025-09-07T09:19:22.6028088Z # Prune all of the docker images 2025-09-07T09:19:22.6028386Z docker system prune -af 2025-09-07T09:19:22.6037212Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:19:22.6037543Z env: 2025-09-07T09:19:22.6037737Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:19:22.6038036Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:19:22.6038548Z DOCKER_CONTAINER_ID: 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:22.6039009Z DEVICE_NAME: 2025-09-07T09:19:22.6039221Z DEVICE_TYPE: 2025-09-07T09:19:22.6039423Z ##[endgroup] 2025-09-07T09:19:35.0358850Z 2bc29f23d6c7 2025-09-07T09:19:37.6106248Z Deleted Containers: 2025-09-07T09:19:37.6107306Z 2bc29f23d6c77f6af0cebf0101f49855b833b44a6f9fd5a7a905629ac2ca0848 2025-09-07T09:19:37.6108265Z 2025-09-07T09:19:57.1563583Z Deleted Images: 2025-09-07T09:19:57.1563979Z untagged: public.ecr.aws/docker/library/python:3.13 2025-09-07T09:19:57.1564840Z untagged: public.ecr.aws/docker/library/python@sha256:18634e45b29c0dd1a9a3a3d0781f9f8a221fe32ee7a853db01e9120c710ef535 2025-09-07T09:19:57.1566166Z deleted: sha256:45fd9a3ce5de4d2b5ac35306a207bf24345ec15006cf91ef7b3458a8f78da7eb 2025-09-07T09:19:57.1566972Z deleted: sha256:b5f39f44331128406cb41b3ddec036e0c7dad61654a106a9298a6dc1ebc53651 2025-09-07T09:19:57.1567705Z deleted: sha256:c97f0f18c8f7d773995c4b7f9b42cca11b61b3f035dbccf3670535a01831d013 2025-09-07T09:19:57.1568287Z deleted: sha256:c67f72e58aab7b53130c85d8c1dff79d903c6f9e1b8c07fd5819165196d5a9c7 2025-09-07T09:19:57.1568859Z deleted: sha256:4e65c0510f8c22592464db0bb373e99224184267eec9f996c5de50ed7d194fad 2025-09-07T09:19:57.1569423Z deleted: sha256:e0e35c74660cb2629bda541aedaf15401e3287a0947fb2e97f04e0351a3acc3b 2025-09-07T09:19:57.1570249Z deleted: 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safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T09:19:57.3125845Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T09:19:57.3165339Z [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' || :" 2025-09-07T09:19:57.3614820Z Entering 'android/libs/fbjni' 2025-09-07T09:19:57.3693533Z Entering 'third_party/FP16' 2025-09-07T09:19:57.3769388Z Entering 'third_party/FXdiv' 2025-09-07T09:19:57.3845554Z Entering 'third_party/NNPACK' 2025-09-07T09:19:57.3925239Z Entering 'third_party/NVTX' 2025-09-07T09:19:57.4005177Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:19:57.4083924Z Entering 'third_party/XNNPACK' 2025-09-07T09:19:57.4174871Z Entering 'third_party/aiter' 2025-09-07T09:19:57.4252934Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:19:57.4343640Z Entering 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'third_party/flash-attention' 2025-09-07T09:19:57.5565501Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:19:57.5649320Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:19:57.5743856Z Entering 'third_party/flatbuffers' 2025-09-07T09:19:57.5826986Z Entering 'third_party/fmt' 2025-09-07T09:19:57.5906293Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:19:57.5988292Z Entering 'third_party/gloo' 2025-09-07T09:19:57.6068843Z Entering 'third_party/googletest' 2025-09-07T09:19:57.6149776Z Entering 'third_party/ideep' 2025-09-07T09:19:57.6230534Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:19:57.6317133Z Entering 'third_party/ittapi' 2025-09-07T09:19:57.6400543Z Entering 'third_party/kineto' 2025-09-07T09:19:57.6481102Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:19:57.6557318Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:19:57.6639251Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:19:57.6717768Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:19:57.6795291Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:19:57.6872160Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:19:57.6956700Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:19:57.7034784Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:19:57.7112564Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:19:57.7193220Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:19:57.7276759Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:19:57.7356141Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:19:57.7435794Z Entering 'third_party/kleidiai' 2025-09-07T09:19:57.7518176Z Entering 'third_party/mimalloc' 2025-09-07T09:19:57.7604463Z Entering 'third_party/nlohmann' 2025-09-07T09:19:57.7685076Z Entering 'third_party/onnx' 2025-09-07T09:19:57.7788970Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:19:57.7873804Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:19:57.7953598Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:19:57.8035871Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:19:57.8112360Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:19:57.8193823Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:19:57.8273117Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:19:57.8349600Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:19:57.8427430Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:19:57.8501632Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:19:57.8581758Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:19:57.8662339Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:19:57.8764539Z Entering 'third_party/pocketfft' 2025-09-07T09:19:57.8846737Z Entering 'third_party/protobuf' 2025-09-07T09:19:57.8927700Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:19:57.9004176Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:19:57.9085507Z Entering 'third_party/psimd' 2025-09-07T09:19:57.9164525Z Entering 'third_party/pthreadpool' 2025-09-07T09:19:57.9253357Z Entering 'third_party/pybind11' 2025-09-07T09:19:57.9331436Z Entering 'third_party/python-peachpy' 2025-09-07T09:19:57.9412243Z Entering 'third_party/sleef' 2025-09-07T09:19:57.9492671Z Entering 'third_party/tensorpipe' 2025-09-07T09:19:57.9571506Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:19:57.9648132Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:19:57.9724142Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:19:57.9802385Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:19:57.9878134Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:19:57.9989691Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T09:19:58.0015458Z http.https://github.com/.extraheader 2025-09-07T09:19:58.0026690Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T09:19:58.0064445Z [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' || :" 2025-09-07T09:19:58.0470973Z Entering 'android/libs/fbjni' 2025-09-07T09:19:58.0522681Z http.https://github.com/.extraheader 2025-09-07T09:19:58.0574439Z Entering 'third_party/FP16' 2025-09-07T09:19:58.0628126Z http.https://github.com/.extraheader 2025-09-07T09:19:58.0678051Z Entering 'third_party/FXdiv' 2025-09-07T09:19:58.0730944Z http.https://github.com/.extraheader 2025-09-07T09:19:58.0779938Z Entering 'third_party/NNPACK' 2025-09-07T09:19:58.0832008Z http.https://github.com/.extraheader 2025-09-07T09:19:58.0881680Z Entering 'third_party/NVTX' 2025-09-07T09:19:58.0934608Z http.https://github.com/.extraheader 2025-09-07T09:19:58.0985119Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:19:58.1040466Z http.https://github.com/.extraheader 2025-09-07T09:19:58.1090881Z Entering 'third_party/XNNPACK' 2025-09-07T09:19:58.1142435Z http.https://github.com/.extraheader 2025-09-07T09:19:58.1213027Z Entering 'third_party/aiter' 2025-09-07T09:19:58.1265371Z http.https://github.com/.extraheader 2025-09-07T09:19:58.1319616Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:19:58.1370554Z http.https://github.com/.extraheader 2025-09-07T09:19:58.1432071Z Entering 'third_party/benchmark' 2025-09-07T09:19:58.1487207Z http.https://github.com/.extraheader 2025-09-07T09:19:58.1538591Z Entering 'third_party/composable_kernel' 2025-09-07T09:19:58.1589395Z http.https://github.com/.extraheader 2025-09-07T09:19:58.1649601Z Entering 'third_party/cpp-httplib' 2025-09-07T09:19:58.1701272Z http.https://github.com/.extraheader 2025-09-07T09:19:58.1750722Z Entering 'third_party/cpuinfo' 2025-09-07T09:19:58.1801114Z http.https://github.com/.extraheader 2025-09-07T09:19:58.1853590Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:19:58.1906344Z http.https://github.com/.extraheader 2025-09-07T09:19:58.1957289Z Entering 'third_party/cutlass' 2025-09-07T09:19:58.2013555Z http.https://github.com/.extraheader 2025-09-07T09:19:58.2072684Z Entering 'third_party/fbgemm' 2025-09-07T09:19:58.2126503Z http.https://github.com/.extraheader 2025-09-07T09:19:58.2177433Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:19:58.2228326Z http.https://github.com/.extraheader 2025-09-07T09:19:58.2277235Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:19:58.2329185Z http.https://github.com/.extraheader 2025-09-07T09:19:58.2386329Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:19:58.2436268Z http.https://github.com/.extraheader 2025-09-07T09:19:58.2485857Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:19:58.2535955Z http.https://github.com/.extraheader 2025-09-07T09:19:58.2593850Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:19:58.2644360Z http.https://github.com/.extraheader 2025-09-07T09:19:58.2693803Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:19:58.2745132Z http.https://github.com/.extraheader 2025-09-07T09:19:58.2793946Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:19:58.2844537Z http.https://github.com/.extraheader 2025-09-07T09:19:58.2899399Z Entering 'third_party/flash-attention' 2025-09-07T09:19:58.2951932Z http.https://github.com/.extraheader 2025-09-07T09:19:58.3001396Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:19:58.3056774Z http.https://github.com/.extraheader 2025-09-07T09:19:58.3112136Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:19:58.3167815Z http.https://github.com/.extraheader 2025-09-07T09:19:58.3230868Z Entering 'third_party/flatbuffers' 2025-09-07T09:19:58.3283064Z http.https://github.com/.extraheader 2025-09-07T09:19:58.3337254Z Entering 'third_party/fmt' 2025-09-07T09:19:58.3388911Z http.https://github.com/.extraheader 2025-09-07T09:19:58.3439434Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:19:58.3495415Z http.https://github.com/.extraheader 2025-09-07T09:19:58.3544254Z Entering 'third_party/gloo' 2025-09-07T09:19:58.3597610Z http.https://github.com/.extraheader 2025-09-07T09:19:58.3648046Z Entering 'third_party/googletest' 2025-09-07T09:19:58.3703705Z http.https://github.com/.extraheader 2025-09-07T09:19:58.3754474Z Entering 'third_party/ideep' 2025-09-07T09:19:58.3807966Z http.https://github.com/.extraheader 2025-09-07T09:19:58.3857151Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:19:58.3906282Z http.https://github.com/.extraheader 2025-09-07T09:19:58.3965876Z Entering 'third_party/ittapi' 2025-09-07T09:19:58.4018141Z http.https://github.com/.extraheader 2025-09-07T09:19:58.4068864Z Entering 'third_party/kineto' 2025-09-07T09:19:58.4121038Z http.https://github.com/.extraheader 2025-09-07T09:19:58.4170585Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:19:58.4221234Z http.https://github.com/.extraheader 2025-09-07T09:19:58.4268707Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:19:58.4319465Z http.https://github.com/.extraheader 2025-09-07T09:19:58.4372354Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:19:58.4423518Z http.https://github.com/.extraheader 2025-09-07T09:19:58.4474309Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:19:58.4525490Z http.https://github.com/.extraheader 2025-09-07T09:19:58.4576096Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:19:58.4626242Z http.https://github.com/.extraheader 2025-09-07T09:19:58.4675266Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:19:58.4735383Z http.https://github.com/.extraheader 2025-09-07T09:19:58.4789678Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:19:58.4841951Z http.https://github.com/.extraheader 2025-09-07T09:19:58.4893749Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:19:58.4944341Z http.https://github.com/.extraheader 2025-09-07T09:19:58.4995723Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:19:58.5047225Z http.https://github.com/.extraheader 2025-09-07T09:19:58.5098500Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:19:58.5149022Z http.https://github.com/.extraheader 2025-09-07T09:19:58.5203541Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:19:58.5255124Z http.https://github.com/.extraheader 2025-09-07T09:19:58.5305452Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:19:58.5360864Z http.https://github.com/.extraheader 2025-09-07T09:19:58.5414541Z Entering 'third_party/kleidiai' 2025-09-07T09:19:58.5468304Z http.https://github.com/.extraheader 2025-09-07T09:19:58.5519797Z Entering 'third_party/mimalloc' 2025-09-07T09:19:58.5571030Z http.https://github.com/.extraheader 2025-09-07T09:19:58.5623188Z Entering 'third_party/nlohmann' 2025-09-07T09:19:58.5675863Z http.https://github.com/.extraheader 2025-09-07T09:19:58.5725857Z Entering 'third_party/onnx' 2025-09-07T09:19:58.5776962Z http.https://github.com/.extraheader 2025-09-07T09:19:58.5843871Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:19:58.5894634Z http.https://github.com/.extraheader 2025-09-07T09:19:58.5952740Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:19:58.6006116Z http.https://github.com/.extraheader 2025-09-07T09:19:58.6058203Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:19:58.6107329Z http.https://github.com/.extraheader 2025-09-07T09:19:58.6157939Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:19:58.6208017Z http.https://github.com/.extraheader 2025-09-07T09:19:58.6256620Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:19:58.6307397Z http.https://github.com/.extraheader 2025-09-07T09:19:58.6357118Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:19:58.6408836Z http.https://github.com/.extraheader 2025-09-07T09:19:58.6459883Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:19:58.6510254Z http.https://github.com/.extraheader 2025-09-07T09:19:58.6560719Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:19:58.6610276Z http.https://github.com/.extraheader 2025-09-07T09:19:58.6659495Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:19:58.6709190Z http.https://github.com/.extraheader 2025-09-07T09:19:58.6758144Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:19:58.6806833Z http.https://github.com/.extraheader 2025-09-07T09:19:58.6859037Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:19:58.6908890Z http.https://github.com/.extraheader 2025-09-07T09:19:58.6962527Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:19:58.7013185Z http.https://github.com/.extraheader 2025-09-07T09:19:58.7084869Z Entering 'third_party/pocketfft' 2025-09-07T09:19:58.7137262Z http.https://github.com/.extraheader 2025-09-07T09:19:58.7187862Z Entering 'third_party/protobuf' 2025-09-07T09:19:58.7240106Z http.https://github.com/.extraheader 2025-09-07T09:19:58.7293354Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:19:58.7344618Z http.https://github.com/.extraheader 2025-09-07T09:19:58.7393125Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:19:58.7447250Z http.https://github.com/.extraheader 2025-09-07T09:19:58.7499983Z Entering 'third_party/psimd' 2025-09-07T09:19:58.7552508Z http.https://github.com/.extraheader 2025-09-07T09:19:58.7602666Z Entering 'third_party/pthreadpool' 2025-09-07T09:19:58.7655071Z http.https://github.com/.extraheader 2025-09-07T09:19:58.7705156Z Entering 'third_party/pybind11' 2025-09-07T09:19:58.7758011Z http.https://github.com/.extraheader 2025-09-07T09:19:58.7807970Z Entering 'third_party/python-peachpy' 2025-09-07T09:19:58.7859790Z http.https://github.com/.extraheader 2025-09-07T09:19:58.7909171Z Entering 'third_party/sleef' 2025-09-07T09:19:58.7965794Z http.https://github.com/.extraheader 2025-09-07T09:19:58.8016066Z Entering 'third_party/tensorpipe' 2025-09-07T09:19:58.8069562Z http.https://github.com/.extraheader 2025-09-07T09:19:58.8117758Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:19:58.8167764Z http.https://github.com/.extraheader 2025-09-07T09:19:58.8217314Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:19:58.8268975Z http.https://github.com/.extraheader 2025-09-07T09:19:58.8317279Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:19:58.8368485Z http.https://github.com/.extraheader 2025-09-07T09:19:58.8416825Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:19:58.8469397Z http.https://github.com/.extraheader 2025-09-07T09:19:58.8516943Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:19:58.8567923Z http.https://github.com/.extraheader 2025-09-07T09:19:58.8742179Z A job completed hook has been configured by the self-hosted runner administrator 2025-09-07T09:19:58.8773924Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-09-07T09:19:58.8781947Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:19:58.8782291Z ##[endgroup] 2025-09-07T09:20:06.8936545Z Cleaning up orphan processes