2025-01-24T03:27:16.8653124Z Current runner version: '2.321.0' 2025-01-24T03:27:16.8659570Z Runner name: 'i-06104fb7bf5509793' 2025-01-24T03:27:16.8660470Z Runner group name: 'Default' 2025-01-24T03:27:16.8661467Z Machine name: 'ip-10-0-21-202' 2025-01-24T03:27:16.8666439Z ##[group]GITHUB_TOKEN Permissions 2025-01-24T03:27:16.8669062Z Actions: read 2025-01-24T03:27:16.8669717Z Attestations: read 2025-01-24T03:27:16.8670371Z Checks: read 2025-01-24T03:27:16.8670965Z Contents: read 2025-01-24T03:27:16.8671588Z Deployments: read 2025-01-24T03:27:16.8672225Z Discussions: read 2025-01-24T03:27:16.8672984Z Issues: read 2025-01-24T03:27:16.8673592Z Metadata: read 2025-01-24T03:27:16.8674195Z Packages: read 2025-01-24T03:27:16.8674818Z Pages: read 2025-01-24T03:27:16.8675428Z PullRequests: read 2025-01-24T03:27:16.8676082Z RepositoryProjects: read 2025-01-24T03:27:16.8676836Z SecurityEvents: read 2025-01-24T03:27:16.8677480Z Statuses: read 2025-01-24T03:27:16.8678085Z ##[endgroup] 2025-01-24T03:27:16.8681008Z Secret source: Actions 2025-01-24T03:27:16.8681908Z Prepare workflow directory 2025-01-24T03:27:16.9156580Z Prepare all required actions 2025-01-24T03:27:16.9193629Z Getting action download info 2025-01-24T03:27:17.1376305Z Download action repository 'pytorch/test-infra@main' (SHA:e83685f710cdb1685e9f12471c30aa36cf09cf13) 2025-01-24T03:27:18.5386132Z Download action repository 'pytorch/pytorch@main' (SHA:29ddf9a63ebf416cd99d277157dffacd8bc5e3bf) 2025-01-24T03:27:34.4230351Z Download action repository 'aws-actions/configure-aws-credentials@v3' (SHA:50ac8dd1e1b10d09dac7b8727528b91bed831ac0) 2025-01-24T03:27:34.6089903Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-01-24T03:27:34.8635643Z Getting action download info 2025-01-24T03:27:34.9626241Z Download action repository 'actions/checkout@v4' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683) 2025-01-24T03:27:35.1697712Z Getting action download info 2025-01-24T03:27:35.2575568Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-01-24T03:27:35.4413366Z Getting action download info 2025-01-24T03:27:35.5369513Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-01-24T03:27:35.7034309Z Getting action download info 2025-01-24T03:27:35.8253421Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/tags/ciflow/inductor/145539 (d087145b9259b4cfbcb758dc0bca6a6e5d75d08f) 2025-01-24T03:27:35.8255455Z ##[group] Inputs 2025-01-24T03:27:35.8255835Z build-environment: linux-focal-cuda12.4-py3.10-gcc9-sm86 2025-01-24T03:27:35.8257639Z 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"}]} 2025-01-24T03:27:35.8259850Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks:bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:27:35.8260701Z sync-tag: 2025-01-24T03:27:35.8261396Z timeout-minutes: 240 2025-01-24T03:27:35.8261662Z use-gha: 2025-01-24T03:27:35.8261881Z dashboard-tag: 2025-01-24T03:27:35.8262126Z s3-bucket: gha-artifacts 2025-01-24T03:27:35.8262401Z aws-role-to-assume: 2025-01-24T03:27:35.8262917Z disable-monitor: false 2025-01-24T03:27:35.8263197Z ##[endgroup] 2025-01-24T03:27:35.8263667Z Complete job name: cuda12.4-py3.10-gcc9-sm86 / test (inductor_huggingface, 1, 1, linux.g5.4xlarge.nvidia.gpu) 2025-01-24T03:27:35.8821652Z A job started hook has been configured by the self-hosted runner administrator 2025-01-24T03:27:35.8947651Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-01-24T03:27:35.8959038Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:27:35.8959653Z ##[endgroup] 2025-01-24T03:27:37.2756892Z Runner Type: linux.g5.4xlarge.nvidia.gpu 2025-01-24T03:27:37.2757366Z Instance Type: g5.4xlarge 2025-01-24T03:27:37.2757663Z AMI Name: unknown 2025-01-24T03:27:37.2800341Z AMI ID: ami-0df8c184d5f6ae949 2025-01-24T03:27:42.6331731Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-01-24T03:27:42.6332162Z with: 2025-01-24T03:27:42.6332758Z github-secret: *** 2025-01-24T03:27:42.6333426Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-01-24T03:27:42.6334132Z activate-with-label: false 2025-01-24T03:27:42.6334417Z label: with-ssh 2025-01-24T03:27:42.6334675Z remove-existing-keys: true 2025-01-24T03:27:42.6334960Z fail-silently: true 2025-01-24T03:27:42.6335220Z env: 2025-01-24T03:27:42.6335433Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:27:42.6335703Z ##[endgroup] 2025-01-24T03:27:42.7518664Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-01-24T03:27:42.7519735Z ciflow reference detected, attempting to extract PR number 2025-01-24T03:27:43.1330565Z Grabbing public ssh keys from https://github.com/pytorch-bot[bot].keys 2025-01-24T03:27:43.1865884Z No SSH keys found for user pytorch-bot[bot] 2025-01-24T03:27:43.1866428Z Grabbing public ssh keys from https://github.com/yushangdi.keys 2025-01-24T03:27:43.2445493Z ~/.ssh/authorized_keys file found on node, removing ~/.ssh and starting fresh 2025-01-24T03:27:43.2459104Z Public keys pulled and installed to /home/ec2-user/.ssh/authorized_keys 2025-01-24T03:27:43.2492227Z Login using: ssh ec2-user@ec2-35-170-56-35.compute-1.amazonaws.com 2025-01-24T03:27:43.2492789Z All testing is done inside the container, to start an interactive session run: 2025-01-24T03:27:43.2493362Z docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-01-24T03:27:43.2640151Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-01-24T03:27:43.2640578Z with: 2025-01-24T03:27:43.2640799Z no-sudo: true 2025-01-24T03:27:43.2641052Z submodules: recursive 2025-01-24T03:27:43.2641314Z fetch-depth: 0 2025-01-24T03:27:43.2641547Z env: 2025-01-24T03:27:43.2641760Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:27:43.2642026Z ##[endgroup] 2025-01-24T03:27:43.2735541Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-01-24T03:27:43.2736489Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-01-24T03:27:43.2748916Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:27:43.2749288Z env: 2025-01-24T03:27:43.2749510Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:27:43.2749782Z ##[endgroup] 2025-01-24T03:27:43.2869769Z ##[group]Run retry () { 2025-01-24T03:27:43.2870134Z retry () { 2025-01-24T03:27:43.2870474Z  $* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*) 2025-01-24T03:27:43.2870869Z } 2025-01-24T03:27:43.2871124Z echo "${GITHUB_WORKSPACE}" 2025-01-24T03:27:43.2871457Z if [ -z "${NO_SUDO}" ]; then 2025-01-24T03:27:43.2871827Z  retry sudo rm -rf "${GITHUB_WORKSPACE}" 2025-01-24T03:27:43.2872172Z else 2025-01-24T03:27:43.2872533Z  retry rm -rf "${GITHUB_WORKSPACE}" 2025-01-24T03:27:43.2872852Z fi 2025-01-24T03:27:43.2873108Z mkdir "${GITHUB_WORKSPACE}" 2025-01-24T03:27:43.2882155Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:27:43.2882565Z env: 2025-01-24T03:27:43.2882780Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:27:43.2883047Z NO_SUDO: true 2025-01-24T03:27:43.2883285Z ##[endgroup] 2025-01-24T03:27:43.2912877Z /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-01-24T03:27:43.3012279Z ##[group]Run actions/checkout@v4 2025-01-24T03:27:43.3012596Z with: 2025-01-24T03:27:43.3012855Z ref: d087145b9259b4cfbcb758dc0bca6a6e5d75d08f 2025-01-24T03:27:43.3013185Z fetch-depth: 0 2025-01-24T03:27:43.3013434Z submodules: recursive 2025-01-24T03:27:43.3013703Z show-progress: false 2025-01-24T03:27:43.3013982Z repository: pytorch/pytorch 2025-01-24T03:27:43.3014365Z token: *** 2025-01-24T03:27:43.3014598Z ssh-strict: true 2025-01-24T03:27:43.3014841Z ssh-user: git 2025-01-24T03:27:43.3015094Z persist-credentials: true 2025-01-24T03:27:43.3015371Z clean: true 2025-01-24T03:27:43.3015630Z sparse-checkout-cone-mode: true 2025-01-24T03:27:43.3015936Z fetch-tags: false 2025-01-24T03:27:43.3016169Z lfs: false 2025-01-24T03:27:43.3016410Z set-safe-directory: true 2025-01-24T03:27:43.3016678Z env: 2025-01-24T03:27:43.3016898Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:27:43.3017168Z ##[endgroup] 2025-01-24T03:27:43.4122290Z Syncing repository: pytorch/pytorch 2025-01-24T03:27:43.4123494Z ##[group]Getting Git version info 2025-01-24T03:27:43.4123968Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-01-24T03:27:43.4124660Z [command]/usr/bin/git version 2025-01-24T03:27:43.4127640Z git version 2.40.1 2025-01-24T03:27:43.4153124Z ##[endgroup] 2025-01-24T03:27:43.4168697Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/fdbe1972-eda5-48f6-a574-13140665dfba' before making global git config changes 2025-01-24T03:27:43.4170170Z Adding repository directory to the temporary git global config as a safe directory 2025-01-24T03:27:43.4174946Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-01-24T03:27:43.4214424Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-01-24T03:27:43.4217929Z ##[group]Initializing the repository 2025-01-24T03:27:43.4232225Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-01-24T03:27:43.4267821Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-01-24T03:27:43.4268486Z hint: is subject to change. To configure the initial branch name to use in all 2025-01-24T03:27:43.4269048Z hint: of your new repositories, which will suppress this warning, call: 2025-01-24T03:27:43.4269472Z hint: 2025-01-24T03:27:43.4269798Z hint: git config --global init.defaultBranch 2025-01-24T03:27:43.4270163Z hint: 2025-01-24T03:27:43.4270502Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-01-24T03:27:43.4271043Z hint: 'development'. The just-created branch can be renamed via this command: 2025-01-24T03:27:43.4271472Z hint: 2025-01-24T03:27:43.4271715Z hint: git branch -m 2025-01-24T03:27:43.4273825Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-01-24T03:27:43.4284739Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-01-24T03:27:43.4317961Z ##[endgroup] 2025-01-24T03:27:43.4318663Z ##[group]Disabling automatic garbage collection 2025-01-24T03:27:43.4322502Z [command]/usr/bin/git config --local gc.auto 0 2025-01-24T03:27:43.4354027Z ##[endgroup] 2025-01-24T03:27:43.4354660Z ##[group]Setting up auth 2025-01-24T03:27:43.4361000Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-01-24T03:27:43.4393962Z [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' || :" 2025-01-24T03:27:43.4768258Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-01-24T03:27:43.4800937Z [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' || :" 2025-01-24T03:27:43.5148565Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-01-24T03:27:43.5194411Z ##[endgroup] 2025-01-24T03:27:43.5195105Z ##[group]Fetching the repository 2025-01-24T03:27:43.5203213Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-01-24T03:28:30.4803075Z From https://github.com/pytorch/pytorch 2025-01-24T03:28:30.4805319Z * [new branch] 144594 -> origin/144594 2025-01-24T03:28:30.4805937Z * [new branch] 2.1-dynamic-doc -> origin/2.1-dynamic-doc 2025-01-24T03:28:30.4806440Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-01-24T03:28:30.4807223Z * [new branch] Adjust-Description-for-linux-binary-test-Workflow -> origin/Adjust-Description-for-linux-binary-test-Workflow 2025-01-24T03:28:30.4808852Z * [new branch] Broken-classifications_pending_unstable-Test -> origin/Broken-classifications_pending_unstable-Test 2025-01-24T03:28:30.4810265Z * [new branch] Chillee-patch-5 -> origin/Chillee-patch-5 2025-01-24T03:28:30.4812299Z * [new branch] Cleanup-Previous-Artifacts -> origin/Cleanup-Previous-Artifacts 2025-01-24T03:28:30.4814783Z * [new branch] JackCaoG/add_new_lazy_counter_macro -> origin/JackCaoG/add_new_lazy_counter_macro 2025-01-24T03:28:30.4816134Z * [new branch] JackCaoG/add_openxla_backend_to_list -> origin/JackCaoG/add_openxla_backend_to_list 2025-01-24T03:28:30.4818248Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-01-24T03:28:30.4819530Z * [new branch] JackCaoG/fix_xla_torchbench -> origin/JackCaoG/fix_xla_torchbench 2025-01-24T03:28:30.4822024Z * [new branch] JackCaoG/make_xla_dynamo_backend_boxed -> origin/JackCaoG/make_xla_dynamo_backend_boxed 2025-01-24T03:28:30.4824678Z * [new branch] JackCaoG/test_xla_pin -> origin/JackCaoG/test_xla_pin 2025-01-24T03:28:30.4825781Z * [new branch] JackCaoG/test_xla_pin_update -> origin/JackCaoG/test_xla_pin_update 2025-01-24T03:28:30.4827984Z * [new branch] JackCaoG/update_dynamo_doc -> origin/JackCaoG/update_dynamo_doc 2025-01-24T03:28:30.4829690Z * [new branch] JackCaoG/update_xla_dynamo -> origin/JackCaoG/update_xla_dynamo 2025-01-24T03:28:30.4831945Z * [new branch] JackCaoG/update_xla_pin_to_skip_test -> origin/JackCaoG/update_xla_pin_to_skip_test 2025-01-24T03:28:30.4833869Z * [new branch] JackCaoG/update_xla_pin_to_skip_test2 -> origin/JackCaoG/update_xla_pin_to_skip_test2 2025-01-24T03:28:30.4835187Z * [new branch] NicolasHug-patch-2 -> origin/NicolasHug-patch-2 2025-01-24T03:28:30.4837211Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-01-24T03:28:30.4839018Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-01-24T03:28:30.4840684Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-01-24T03:28:30.4842325Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-01-24T03:28:30.4844096Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-01-24T03:28:30.4845943Z * [new branch] Remove-linux_t4g_2xlarge-Usage -> origin/Remove-linux_t4g_2xlarge-Usage 2025-01-24T03:28:30.4847607Z * [new branch] Revert-PR-110949 -> origin/Revert-PR-110949 2025-01-24T03:28:30.4849410Z * [new branch] Switch-Linux-arm64-Runners -> origin/Switch-Linux-arm64-Runners 2025-01-24T03:28:30.4851176Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-01-24T03:28:30.4853812Z * [new branch] Valentine/flash_attention_bf16 -> origin/Valentine/flash_attention_bf16 2025-01-24T03:28:30.4855871Z * [new branch] WeixiMa/serialize -> origin/WeixiMa/serialize 2025-01-24T03:28:30.4858836Z * [new branch] _tmp-orig/release/2.6 -> origin/_tmp-orig/release/2.6 2025-01-24T03:28:30.4860960Z * [new branch] _tmp-release/2.6 -> origin/_tmp-release/2.6 2025-01-24T03:28:30.4863525Z * [new branch] abock/dort-torch-compile-options -> origin/abock/dort-torch-compile-options 2025-01-24T03:28:30.4864845Z * [new branch] abock/onnx-1.14.1rc1 -> origin/abock/onnx-1.14.1rc1 2025-01-24T03:28:30.4866919Z * [new branch] abock/onnx-1.15.0-validation -> origin/abock/onnx-1.15.0-validation 2025-01-24T03:28:30.4868751Z * [new branch] abock/ort-nightly==1.16.0.dev20230908001 -> origin/abock/ort-nightly==1.16.0.dev20230908001 2025-01-24T03:28:30.4870186Z * [new branch] add-android-build-workflow -> origin/add-android-build-workflow 2025-01-24T03:28:30.4872151Z * [new branch] add-assign -> origin/add-assign 2025-01-24T03:28:30.4874058Z * [new branch] add_broadcast_functional_collective -> origin/add_broadcast_functional_collective 2025-01-24T03:28:30.4875451Z * [new branch] add_mha_to_autocast_policy -> origin/add_mha_to_autocast_policy 2025-01-24T03:28:30.4877620Z * [new branch] add_non_parallel_model_comparison -> origin/add_non_parallel_model_comparison 2025-01-24T03:28:30.4878896Z * [new branch] add_reduce_op -> origin/add_reduce_op 2025-01-24T03:28:30.4880952Z * [new branch] add_torchao_docs -> origin/add_torchao_docs 2025-01-24T03:28:30.4882785Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-01-24T03:28:30.4884446Z * [new branch] addsimde -> origin/addsimde 2025-01-24T03:28:30.4886404Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-01-24T03:28:30.4888586Z * [new branch] alanwaketan/pin -> origin/alanwaketan/pin 2025-01-24T03:28:30.4890240Z * [new branch] alanwaketan/pin2 -> origin/alanwaketan/pin2 2025-01-24T03:28:30.4891950Z * [new branch] alt-disable -> origin/alt-disable 2025-01-24T03:28:30.4894484Z * [new branch] angelayi/aot -> origin/angelayi/aot 2025-01-24T03:28:30.4896168Z * [new branch] angelayi/aot_freeze -> origin/angelayi/aot_freeze 2025-01-24T03:28:30.4897930Z * [new branch] angelayi/aot_inductor_bench_comp_time -> origin/angelayi/aot_inductor_bench_comp_time 2025-01-24T03:28:30.4899202Z * [new branch] angelayi/aot_inductor_benchmark -> origin/angelayi/aot_inductor_benchmark 2025-01-24T03:28:30.4901288Z * [new branch] angelayi/aot_inductor_torch -> origin/angelayi/aot_inductor_torch 2025-01-24T03:28:30.4902907Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-01-24T03:28:30.4904923Z * [new branch] angelayi/aotinductor_const -> origin/angelayi/aotinductor_const 2025-01-24T03:28:30.4907058Z * [new branch] angelayi/aotinductor_const_name -> origin/angelayi/aotinductor_const_name 2025-01-24T03:28:30.4908692Z * [new branch] 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origin/ipiszy/mypy 2025-01-24T03:28:31.2602161Z * [new branch] issue#58739 -> origin/issue#58739 2025-01-24T03:28:31.2604546Z * [new branch] ivanov/cherry-pick-ckpt-fixes -> origin/ivanov/cherry-pick-ckpt-fixes 2025-01-24T03:28:31.2606293Z * [new branch] jataylo-nvfuser_blocklist -> origin/jataylo-nvfuser_blocklist 2025-01-24T03:28:31.2608312Z * [new branch] jcaip-patch-1 -> origin/jcaip-patch-1 2025-01-24T03:28:31.2610596Z * [new branch] jcaip/fix-int8-bug -> origin/jcaip/fix-int8-bug 2025-01-24T03:28:31.2612205Z * [new branch] jcaip/fix-int8-bug-alpha -> origin/jcaip/fix-int8-bug-alpha 2025-01-24T03:28:31.2613959Z * [new branch] jcaip/test-cusparselt-version-0.6.2 -> origin/jcaip/test-cusparselt-version-0.6.2 2025-01-24T03:28:31.2615481Z * [new branch] jcaip/torch-compile-sparse -> origin/jcaip/torch-compile-sparse 2025-01-24T03:28:31.2617292Z * [new branch] jcaip/update-benchmarks -> origin/jcaip/update-benchmarks 2025-01-24T03:28:31.2619238Z * [new branch] 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origin/jz/stft-old-fc 2025-01-24T03:28:31.2640755Z * [new branch] kadeng/dev-1 -> origin/kadeng/dev-1 2025-01-24T03:28:31.2643421Z * [new branch] kadeng/inductor-backend/cutlass-evt-fusion-1 -> origin/kadeng/inductor-backend/cutlass-evt-fusion-1 2025-01-24T03:28:31.2645016Z * [new branch] kadeng/inductor-cutlass-epilogue -> origin/kadeng/inductor-cutlass-epilogue 2025-01-24T03:28:31.2647258Z * [new branch] kenjin/call_method_userdefined -> origin/kenjin/call_method_userdefined 2025-01-24T03:28:31.2648928Z * [new branch] kenjin/lambdas -> origin/kenjin/lambdas 2025-01-24T03:28:31.2650326Z * [new branch] kenjin/norefcycles -> origin/kenjin/norefcycles 2025-01-24T03:28:31.2652073Z * [new branch] kineto_warnings_fix -> origin/kineto_warnings_fix 2025-01-24T03:28:31.2653866Z * [new branch] kit1980-patch-2 -> origin/kit1980-patch-2 2025-01-24T03:28:31.2655694Z * [new branch] kleidiai_github_mirror -> origin/kleidiai_github_mirror 2025-01-24T03:28:31.2657968Z * [new branch] klondenberg/cutlass -> origin/klondenberg/cutlass 2025-01-24T03:28:31.2659795Z * [new branch] layernorm_bias_fix -> origin/layernorm_bias_fix 2025-01-24T03:28:31.2662649Z * [new branch] leslie/enable_poc_reduction_fusion -> origin/leslie/enable_poc_reduction_fusion 2025-01-24T03:28:31.2664247Z * [new branch] leslie/test_group_gemm_epilogues -> origin/leslie/test_group_gemm_epilogues 2025-01-24T03:28:31.2666657Z * [new branch] liaoxuan/fuse_attention_pattern -> origin/liaoxuan/fuse_attention_pattern 2025-01-24T03:28:31.2669462Z * [new branch] lts/release/1.8 -> origin/lts/release/1.8 2025-01-24T03:28:31.2671389Z * [new branch] main -> origin/main 2025-01-24T03:28:31.2673355Z * [new branch] main-update-cusparselt-0.6.3 -> origin/main-update-cusparselt-0.6.3 2025-01-24T03:28:31.2675160Z * [new branch] malfet-patch-1 -> origin/malfet-patch-1 2025-01-24T03:28:31.2676969Z * [new branch] malfet-patch-14 -> origin/malfet-patch-14 2025-01-24T03:28:31.2678805Z * [new branch] malfet-patch-15 -> origin/malfet-patch-15 2025-01-24T03:28:31.2680730Z * [new branch] malfet-patch-16 -> origin/malfet-patch-16 2025-01-24T03:28:31.2682600Z * [new branch] malfet-patch-17 -> origin/malfet-patch-17 2025-01-24T03:28:31.2684434Z * [new branch] malfet-patch-18 -> origin/malfet-patch-18 2025-01-24T03:28:31.2686289Z * [new branch] malfet-patch-19 -> origin/malfet-patch-19 2025-01-24T03:28:31.2688205Z * [new branch] malfet-patch-2 -> origin/malfet-patch-2 2025-01-24T03:28:31.2690060Z * [new branch] malfet-patch-20 -> origin/malfet-patch-20 2025-01-24T03:28:31.2691919Z * [new branch] malfet-patch-21 -> origin/malfet-patch-21 2025-01-24T03:28:31.2693925Z * [new branch] malfet-patch-22 -> origin/malfet-patch-22 2025-01-24T03:28:31.2695789Z * [new branch] malfet-patch-22-1 -> origin/malfet-patch-22-1 2025-01-24T03:28:31.2697620Z * [new branch] malfet-patch-23 -> origin/malfet-patch-23 2025-01-24T03:28:31.2699507Z * [new branch] malfet-patch-24 -> origin/malfet-patch-24 2025-01-24T03:28:31.2701335Z * [new branch] malfet-patch-25 -> origin/malfet-patch-25 2025-01-24T03:28:31.2703738Z * [new branch] malfet-patch-3 -> origin/malfet-patch-3 2025-01-24T03:28:31.2705456Z * [new branch] malfet-patch-32 -> origin/malfet-patch-32 2025-01-24T03:28:31.2707217Z * [new branch] malfet-patch-4 -> origin/malfet-patch-4 2025-01-24T03:28:31.2712200Z * [new branch] malfet-patch-42 -> origin/malfet-patch-42 2025-01-24T03:28:31.2714219Z * [new branch] malfet-patch-5 -> origin/malfet-patch-5 2025-01-24T03:28:31.2716273Z * [new branch] malfet-patch-6 -> origin/malfet-patch-6 2025-01-24T03:28:31.2718198Z * [new branch] malfet-patch-9 -> origin/malfet-patch-9 2025-01-24T03:28:31.2720869Z * [new branch] malfet/add-ami-option-to-instance-allocation -> origin/malfet/add-ami-option-to-instance-allocation 2025-01-24T03:28:31.2722243Z * [new branch] malfet/add-benchmark-func -> origin/malfet/add-benchmark-func 2025-01-24T03:28:31.2723816Z * [new branch] malfet/add-get-dtype-supported -> origin/malfet/add-get-dtype-supported 2025-01-24T03:28:31.2725513Z * [new branch] malfet/add-mps-inductor-nan -> origin/malfet/add-mps-inductor-nan 2025-01-24T03:28:31.2727577Z * [new branch] malfet/add-nan-to-int-conversion-check-cpu -> origin/malfet/add-nan-to-int-conversion-check-cpu 2025-01-24T03:28:31.2729481Z * [new branch] malfet/cp-143934-and-144055 -> origin/malfet/cp-143934-and-144055 2025-01-24T03:28:31.2731120Z * [new branch] malfet/cp-144716-144698 -> origin/malfet/cp-144716-144698 2025-01-24T03:28:31.2732854Z * [new branch] malfet/delete-find-openmp -> origin/malfet/delete-find-openmp 2025-01-24T03:28:31.2734599Z * [new branch] malfet/ez-cleanup-test -> origin/malfet/ez-cleanup-test 2025-01-24T03:28:31.2736265Z * [new branch] malfet/fix-conv-backward-cl-2 -> origin/malfet/fix-conv-backward-cl-2 2025-01-24T03:28:31.2737920Z * [new branch] malfet/fix-index-printing -> origin/malfet/fix-index-printing 2025-01-24T03:28:31.2739629Z * [new branch] malfet/mps-add-bilineard2d-aa -> origin/malfet/mps-add-bilineard2d-aa 2025-01-24T03:28:31.2741289Z * [new branch] malfet/mps-implement-col2im -> origin/malfet/mps-implement-col2im 2025-01-24T03:28:31.2743016Z * [new branch] malfet/mpsinductor-add-check-bounds -> origin/malfet/mpsinductor-add-check-bounds 2025-01-24T03:28:31.2744680Z * [new branch] malfet/mpsinductor-add-sizevars -> origin/malfet/mpsinductor-add-sizevars 2025-01-24T03:28:31.2746368Z * [new branch] malfet/mpsinductor-fix-where -> origin/malfet/mpsinductor-fix-where 2025-01-24T03:28:31.2748145Z * [new branch] malfet/mpsinductor-implement-bitcasts -> origin/malfet/mpsinductor-implement-bitcasts 2025-01-24T03:28:31.2749789Z * [new branch] maxautotune_big_gpu -> origin/maxautotune_big_gpu 2025-01-24T03:28:31.2752183Z * [new branch] mcr229/update_cpuinfo -> origin/mcr229/update_cpuinfo 2025-01-24T03:28:31.2754084Z * [new branch] migrate_map -> origin/migrate_map 2025-01-24T03:28:31.2756242Z * [new branch] missing_gloo_causes_deadlock -> 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ciflow/inductor/133297 -> ciflow/inductor/133297 2025-01-24T03:28:31.3982843Z * [new tag] ciflow/inductor/133307 -> ciflow/inductor/133307 2025-01-24T03:28:31.3984021Z * [new tag] ciflow/inductor/133315 -> ciflow/inductor/133315 2025-01-24T03:28:31.3985463Z * [new tag] ciflow/inductor/133392 -> ciflow/inductor/133392 2025-01-24T03:28:31.3986391Z * [new tag] ciflow/inductor/133419 -> ciflow/inductor/133419 2025-01-24T03:28:31.3987543Z * [new tag] ciflow/inductor/133423 -> ciflow/inductor/133423 2025-01-24T03:28:31.3988728Z * [new tag] ciflow/inductor/133667 -> ciflow/inductor/133667 2025-01-24T03:28:31.3990196Z * [new tag] ciflow/inductor/133753 -> ciflow/inductor/133753 2025-01-24T03:28:31.3991193Z * [new tag] ciflow/inductor/133842 -> ciflow/inductor/133842 2025-01-24T03:28:31.3992397Z * [new tag] ciflow/inductor/134681 -> ciflow/inductor/134681 2025-01-24T03:28:31.3993910Z * [new tag] ciflow/inductor/134881 -> ciflow/inductor/134881 2025-01-24T03:28:31.3995289Z * [new tag] ciflow/inductor/134969 -> ciflow/inductor/134969 2025-01-24T03:28:31.3996240Z * [new tag] ciflow/inductor/135189 -> ciflow/inductor/135189 2025-01-24T03:28:31.3997501Z * [new tag] ciflow/inductor/135337 -> ciflow/inductor/135337 2025-01-24T03:28:31.3998729Z * [new tag] ciflow/inductor/135465 -> ciflow/inductor/135465 2025-01-24T03:28:31.4000148Z * [new tag] ciflow/inductor/135708 -> ciflow/inductor/135708 2025-01-24T03:28:31.4001151Z * [new tag] ciflow/inductor/135719 -> ciflow/inductor/135719 2025-01-24T03:28:31.4002338Z * [new tag] ciflow/inductor/135792 -> ciflow/inductor/135792 2025-01-24T03:28:31.4003925Z * [new tag] ciflow/inductor/136268 -> ciflow/inductor/136268 2025-01-24T03:28:31.4004953Z * [new tag] ciflow/inductor/136355 -> ciflow/inductor/136355 2025-01-24T03:28:31.4006124Z * [new tag] ciflow/inductor/136478 -> ciflow/inductor/136478 2025-01-24T03:28:31.4007814Z * [new tag] ciflow/inductor/136702 -> ciflow/inductor/136702 2025-01-24T03:28:31.4008892Z * [new tag] ciflow/inductor/136753 -> ciflow/inductor/136753 2025-01-24T03:28:31.4010338Z * [new tag] ciflow/inductor/136802 -> ciflow/inductor/136802 2025-01-24T03:28:31.4011362Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-01-24T03:28:31.4012766Z * [new tag] ciflow/inductor/137493 -> ciflow/inductor/137493 2025-01-24T03:28:31.4013792Z * [new tag] ciflow/inductor/137568 -> ciflow/inductor/137568 2025-01-24T03:28:31.4015250Z * [new tag] ciflow/inductor/137583 -> ciflow/inductor/137583 2025-01-24T03:28:31.4016411Z * [new tag] ciflow/inductor/137658 -> ciflow/inductor/137658 2025-01-24T03:28:31.4017594Z * [new tag] ciflow/inductor/137662 -> ciflow/inductor/137662 2025-01-24T03:28:31.4018868Z * [new tag] ciflow/inductor/137726 -> ciflow/inductor/137726 2025-01-24T03:28:31.4020007Z * [new tag] ciflow/inductor/137808 -> ciflow/inductor/137808 2025-01-24T03:28:31.4021366Z * [new tag] ciflow/inductor/137822 -> ciflow/inductor/137822 2025-01-24T03:28:31.4022964Z * [new tag] ciflow/inductor/137846 -> ciflow/inductor/137846 2025-01-24T03:28:31.4024039Z * [new tag] ciflow/inductor/137861 -> ciflow/inductor/137861 2025-01-24T03:28:31.4025164Z * [new tag] ciflow/inductor/137884 -> ciflow/inductor/137884 2025-01-24T03:28:31.4026579Z * [new tag] ciflow/inductor/137921 -> ciflow/inductor/137921 2025-01-24T03:28:31.4027617Z * [new tag] ciflow/inductor/137959 -> ciflow/inductor/137959 2025-01-24T03:28:31.4029081Z * [new tag] ciflow/inductor/138101 -> ciflow/inductor/138101 2025-01-24T03:28:31.4030111Z * [new tag] ciflow/inductor/138185 -> ciflow/inductor/138185 2025-01-24T03:28:31.4031279Z * [new tag] ciflow/inductor/138202 -> ciflow/inductor/138202 2025-01-24T03:28:31.4032881Z * [new tag] ciflow/inductor/138213 -> ciflow/inductor/138213 2025-01-24T03:28:31.4034386Z * [new tag] ciflow/inductor/138214 -> ciflow/inductor/138214 2025-01-24T03:28:31.4035378Z * [new tag] ciflow/inductor/138282 -> ciflow/inductor/138282 2025-01-24T03:28:31.4036545Z * [new tag] ciflow/inductor/138503 -> ciflow/inductor/138503 2025-01-24T03:28:31.4037996Z * [new tag] ciflow/inductor/138513 -> ciflow/inductor/138513 2025-01-24T03:28:31.4039713Z * [new tag] ciflow/inductor/138519 -> ciflow/inductor/138519 2025-01-24T03:28:31.4040854Z * [new tag] ciflow/inductor/138555 -> ciflow/inductor/138555 2025-01-24T03:28:31.4042338Z * [new tag] ciflow/inductor/138573 -> ciflow/inductor/138573 2025-01-24T03:28:31.4043727Z * [new tag] ciflow/inductor/138626 -> ciflow/inductor/138626 2025-01-24T03:28:31.4044814Z * [new tag] ciflow/inductor/138749 -> ciflow/inductor/138749 2025-01-24T03:28:31.4046325Z * [new tag] ciflow/inductor/138871 -> ciflow/inductor/138871 2025-01-24T03:28:31.4047321Z * [new tag] ciflow/inductor/138889 -> ciflow/inductor/138889 2025-01-24T03:28:31.4048724Z * [new tag] ciflow/inductor/138929 -> ciflow/inductor/138929 2025-01-24T03:28:31.4049806Z * [new tag] ciflow/inductor/138930 -> ciflow/inductor/138930 2025-01-24T03:28:31.4050951Z * [new tag] ciflow/inductor/138938 -> ciflow/inductor/138938 2025-01-24T03:28:31.4052381Z * [new tag] ciflow/inductor/138953 -> ciflow/inductor/138953 2025-01-24T03:28:31.4053434Z * [new tag] ciflow/inductor/138963 -> ciflow/inductor/138963 2025-01-24T03:28:31.4054962Z * [new tag] ciflow/inductor/138966 -> ciflow/inductor/138966 2025-01-24T03:28:31.4056237Z * [new tag] ciflow/inductor/138999 -> ciflow/inductor/138999 2025-01-24T03:28:31.4057381Z * [new tag] ciflow/inductor/139094 -> ciflow/inductor/139094 2025-01-24T03:28:31.4058565Z * [new tag] ciflow/inductor/139098 -> ciflow/inductor/139098 2025-01-24T03:28:31.4059750Z * [new tag] ciflow/inductor/139101 -> ciflow/inductor/139101 2025-01-24T03:28:31.4061176Z * [new tag] ciflow/inductor/139102 -> ciflow/inductor/139102 2025-01-24T03:28:31.4062192Z * [new tag] ciflow/inductor/139105 -> ciflow/inductor/139105 2025-01-24T03:28:31.4063742Z * [new tag] ciflow/inductor/139135 -> ciflow/inductor/139135 2025-01-24T03:28:31.4064919Z * [new tag] ciflow/inductor/139146 -> ciflow/inductor/139146 2025-01-24T03:28:31.4066495Z * [new tag] ciflow/inductor/139171 -> ciflow/inductor/139171 2025-01-24T03:28:31.4067627Z * [new tag] ciflow/inductor/139247 -> ciflow/inductor/139247 2025-01-24T03:28:31.4068735Z * [new tag] ciflow/inductor/139271 -> ciflow/inductor/139271 2025-01-24T03:28:31.4070130Z * [new tag] ciflow/inductor/139308 -> ciflow/inductor/139308 2025-01-24T03:28:31.4071225Z * [new tag] ciflow/inductor/139325 -> ciflow/inductor/139325 2025-01-24T03:28:31.4072463Z * [new tag] ciflow/inductor/139329 -> ciflow/inductor/139329 2025-01-24T03:28:31.4073999Z * [new tag] ciflow/inductor/139338 -> ciflow/inductor/139338 2025-01-24T03:28:31.4075042Z * [new tag] ciflow/inductor/139356 -> ciflow/inductor/139356 2025-01-24T03:28:31.4076211Z * [new tag] ciflow/inductor/139357 -> ciflow/inductor/139357 2025-01-24T03:28:31.4077636Z * [new tag] ciflow/inductor/139379 -> ciflow/inductor/139379 2025-01-24T03:28:31.4078683Z * [new tag] ciflow/inductor/139384 -> ciflow/inductor/139384 2025-01-24T03:28:31.4079869Z * [new tag] ciflow/inductor/139421 -> ciflow/inductor/139421 2025-01-24T03:28:31.4081451Z * [new tag] ciflow/inductor/139437 -> ciflow/inductor/139437 2025-01-24T03:28:31.4082502Z * [new tag] ciflow/inductor/139535 -> ciflow/inductor/139535 2025-01-24T03:28:31.4083682Z * [new tag] ciflow/inductor/139561 -> ciflow/inductor/139561 2025-01-24T03:28:31.4092559Z * [new tag] ciflow/inductor/139672 -> ciflow/inductor/139672 2025-01-24T03:28:31.4093114Z * [new tag] ciflow/inductor/139697 -> ciflow/inductor/139697 2025-01-24T03:28:31.4093591Z * [new tag] ciflow/inductor/139708 -> ciflow/inductor/139708 2025-01-24T03:28:31.4094054Z * [new tag] ciflow/inductor/139796 -> ciflow/inductor/139796 2025-01-24T03:28:31.4094648Z * [new tag] ciflow/inductor/139840 -> ciflow/inductor/139840 2025-01-24T03:28:31.4095108Z * [new tag] ciflow/inductor/139864 -> ciflow/inductor/139864 2025-01-24T03:28:31.4095571Z * [new tag] ciflow/inductor/139928 -> ciflow/inductor/139928 2025-01-24T03:28:31.4096040Z * [new tag] ciflow/inductor/139975 -> ciflow/inductor/139975 2025-01-24T03:28:31.4096495Z * [new tag] ciflow/inductor/139976 -> ciflow/inductor/139976 2025-01-24T03:28:31.4096962Z * [new tag] ciflow/inductor/140032 -> ciflow/inductor/140032 2025-01-24T03:28:31.4097459Z * [new tag] ciflow/inductor/140048 -> ciflow/inductor/140048 2025-01-24T03:28:31.4098658Z * [new tag] ciflow/inductor/140084 -> ciflow/inductor/140084 2025-01-24T03:28:31.4099823Z * [new tag] ciflow/inductor/140132 -> ciflow/inductor/140132 2025-01-24T03:28:31.4101615Z * [new tag] ciflow/inductor/140146 -> ciflow/inductor/140146 2025-01-24T03:28:31.4102565Z * [new tag] ciflow/inductor/140159 -> ciflow/inductor/140159 2025-01-24T03:28:31.4103739Z * [new tag] ciflow/inductor/140195 -> ciflow/inductor/140195 2025-01-24T03:28:31.4104923Z * [new tag] ciflow/inductor/140283 -> ciflow/inductor/140283 2025-01-24T03:28:31.4106334Z * [new tag] ciflow/inductor/140328 -> ciflow/inductor/140328 2025-01-24T03:28:31.4107507Z * [new tag] ciflow/inductor/140362 -> ciflow/inductor/140362 2025-01-24T03:28:31.4109323Z * [new tag] ciflow/inductor/140677 -> ciflow/inductor/140677 2025-01-24T03:28:31.4110782Z * [new tag] ciflow/inductor/140746 -> ciflow/inductor/140746 2025-01-24T03:28:31.4112426Z * [new tag] ciflow/inductor/140747 -> ciflow/inductor/140747 2025-01-24T03:28:31.4113221Z * [new tag] ciflow/inductor/140756 -> ciflow/inductor/140756 2025-01-24T03:28:31.4114926Z * [new tag] ciflow/inductor/140807 -> ciflow/inductor/140807 2025-01-24T03:28:31.4115789Z * [new tag] ciflow/inductor/140858 -> ciflow/inductor/140858 2025-01-24T03:28:31.4117284Z * [new tag] ciflow/inductor/140979 -> ciflow/inductor/140979 2025-01-24T03:28:31.4118297Z * [new tag] ciflow/inductor/141055 -> ciflow/inductor/141055 2025-01-24T03:28:31.4120274Z * [new tag] ciflow/inductor/141082 -> ciflow/inductor/141082 2025-01-24T03:28:31.4121968Z * [new tag] ciflow/inductor/141096 -> ciflow/inductor/141096 2025-01-24T03:28:31.4122986Z * [new tag] ciflow/inductor/141097 -> ciflow/inductor/141097 2025-01-24T03:28:31.4124377Z * [new tag] ciflow/inductor/141131 -> ciflow/inductor/141131 2025-01-24T03:28:31.4125455Z * [new tag] ciflow/inductor/141168 -> ciflow/inductor/141168 2025-01-24T03:28:31.4126610Z * [new tag] ciflow/inductor/141193 -> ciflow/inductor/141193 2025-01-24T03:28:31.4128028Z * [new tag] ciflow/inductor/141195 -> ciflow/inductor/141195 2025-01-24T03:28:31.4129418Z * [new tag] ciflow/inductor/141213 -> ciflow/inductor/141213 2025-01-24T03:28:31.4130826Z * [new tag] ciflow/inductor/141226 -> ciflow/inductor/141226 2025-01-24T03:28:31.4131855Z * [new tag] ciflow/inductor/141309 -> ciflow/inductor/141309 2025-01-24T03:28:31.4133419Z * [new tag] ciflow/inductor/141342 -> ciflow/inductor/141342 2025-01-24T03:28:31.4134580Z * [new tag] ciflow/inductor/141347 -> ciflow/inductor/141347 2025-01-24T03:28:31.4136590Z * [new tag] ciflow/inductor/141393 -> ciflow/inductor/141393 2025-01-24T03:28:31.4137635Z * [new tag] ciflow/inductor/141489 -> ciflow/inductor/141489 2025-01-24T03:28:31.4138952Z * [new tag] ciflow/inductor/141493 -> ciflow/inductor/141493 2025-01-24T03:28:31.4140389Z * [new tag] ciflow/inductor/141496 -> ciflow/inductor/141496 2025-01-24T03:28:31.4141431Z * [new tag] ciflow/inductor/141588 -> ciflow/inductor/141588 2025-01-24T03:28:31.4142614Z * [new tag] ciflow/inductor/141641 -> ciflow/inductor/141641 2025-01-24T03:28:31.4144017Z * [new tag] ciflow/inductor/141659 -> ciflow/inductor/141659 2025-01-24T03:28:31.4145078Z * [new tag] ciflow/inductor/141684 -> ciflow/inductor/141684 2025-01-24T03:28:31.4146261Z * [new tag] ciflow/inductor/141697 -> ciflow/inductor/141697 2025-01-24T03:28:31.4147677Z * [new tag] ciflow/inductor/141700 -> ciflow/inductor/141700 2025-01-24T03:28:31.4148729Z * [new tag] ciflow/inductor/141702 -> ciflow/inductor/141702 2025-01-24T03:28:31.4149913Z * [new tag] ciflow/inductor/141720 -> ciflow/inductor/141720 2025-01-24T03:28:31.4151618Z * [new tag] ciflow/inductor/141730 -> ciflow/inductor/141730 2025-01-24T03:28:31.4153087Z * [new tag] ciflow/inductor/141795 -> ciflow/inductor/141795 2025-01-24T03:28:31.4154102Z * [new tag] ciflow/inductor/141842 -> ciflow/inductor/141842 2025-01-24T03:28:31.4155490Z * [new tag] ciflow/inductor/141889 -> ciflow/inductor/141889 2025-01-24T03:28:31.4156558Z * [new tag] ciflow/inductor/141940 -> ciflow/inductor/141940 2025-01-24T03:28:31.4157746Z * [new tag] ciflow/inductor/141944 -> ciflow/inductor/141944 2025-01-24T03:28:31.4159175Z * [new tag] ciflow/inductor/141947 -> ciflow/inductor/141947 2025-01-24T03:28:31.4160207Z * [new tag] ciflow/inductor/141961 -> ciflow/inductor/141961 2025-01-24T03:28:31.4162096Z * [new tag] ciflow/inductor/142026 -> ciflow/inductor/142026 2025-01-24T03:28:31.4162635Z * [new tag] ciflow/inductor/142046 -> ciflow/inductor/142046 2025-01-24T03:28:31.4163869Z * [new tag] ciflow/inductor/142091 -> ciflow/inductor/142091 2025-01-24T03:28:31.4165200Z * [new tag] ciflow/inductor/142092 -> ciflow/inductor/142092 2025-01-24T03:28:31.4166303Z * [new tag] ciflow/inductor/142105 -> ciflow/inductor/142105 2025-01-24T03:28:31.4167896Z * [new tag] ciflow/inductor/142163 -> ciflow/inductor/142163 2025-01-24T03:28:31.4169470Z * [new tag] ciflow/inductor/142272 -> ciflow/inductor/142272 2025-01-24T03:28:31.4170957Z * [new tag] ciflow/inductor/142273 -> ciflow/inductor/142273 2025-01-24T03:28:31.4171936Z * [new tag] ciflow/inductor/142295 -> ciflow/inductor/142295 2025-01-24T03:28:31.4173152Z * [new tag] ciflow/inductor/142296 -> ciflow/inductor/142296 2025-01-24T03:28:31.4174702Z * [new tag] ciflow/inductor/142309 -> ciflow/inductor/142309 2025-01-24T03:28:31.4175716Z * [new tag] ciflow/inductor/142350 -> ciflow/inductor/142350 2025-01-24T03:28:31.4176922Z * [new tag] ciflow/inductor/142372 -> ciflow/inductor/142372 2025-01-24T03:28:31.4178129Z * [new tag] ciflow/inductor/142407 -> ciflow/inductor/142407 2025-01-24T03:28:31.4179708Z * [new tag] ciflow/inductor/142483 -> ciflow/inductor/142483 2025-01-24T03:28:31.4180780Z * [new tag] ciflow/inductor/142513 -> ciflow/inductor/142513 2025-01-24T03:28:31.4182241Z * [new tag] ciflow/inductor/142830 -> ciflow/inductor/142830 2025-01-24T03:28:31.4183272Z * [new tag] ciflow/inductor/142851 -> ciflow/inductor/142851 2025-01-24T03:28:31.4184815Z * [new tag] ciflow/inductor/142861 -> ciflow/inductor/142861 2025-01-24T03:28:31.4185816Z * [new tag] ciflow/inductor/143044 -> ciflow/inductor/143044 2025-01-24T03:28:31.4186986Z * [new tag] ciflow/inductor/143061 -> ciflow/inductor/143061 2025-01-24T03:28:31.4188180Z * [new tag] ciflow/inductor/143103 -> ciflow/inductor/143103 2025-01-24T03:28:31.4189390Z * [new tag] ciflow/inductor/143220 -> ciflow/inductor/143220 2025-01-24T03:28:31.4190912Z * [new tag] ciflow/inductor/143275 -> ciflow/inductor/143275 2025-01-24T03:28:31.4191997Z * [new tag] ciflow/inductor/143286 -> ciflow/inductor/143286 2025-01-24T03:28:31.4193265Z * [new tag] ciflow/inductor/143296 -> ciflow/inductor/143296 2025-01-24T03:28:31.4194748Z * [new tag] ciflow/inductor/143313 -> ciflow/inductor/143313 2025-01-24T03:28:31.4195805Z * [new tag] ciflow/inductor/143378 -> ciflow/inductor/143378 2025-01-24T03:28:31.4196940Z * [new tag] ciflow/inductor/143387 -> ciflow/inductor/143387 2025-01-24T03:28:31.4198146Z * [new tag] ciflow/inductor/143405 -> ciflow/inductor/143405 2025-01-24T03:28:31.4199349Z * [new tag] ciflow/inductor/143408 -> ciflow/inductor/143408 2025-01-24T03:28:31.4200932Z * [new tag] ciflow/inductor/143411 -> ciflow/inductor/143411 2025-01-24T03:28:31.4201833Z * [new tag] ciflow/inductor/143417 -> ciflow/inductor/143417 2025-01-24T03:28:31.4203697Z * [new tag] ciflow/inductor/143456 -> ciflow/inductor/143456 2025-01-24T03:28:31.4204698Z * [new tag] ciflow/inductor/143457 -> ciflow/inductor/143457 2025-01-24T03:28:31.4206499Z * [new tag] ciflow/inductor/143464 -> ciflow/inductor/143464 2025-01-24T03:28:31.4207805Z * [new tag] ciflow/inductor/143475 -> ciflow/inductor/143475 2025-01-24T03:28:31.4210541Z * [new tag] ciflow/inductor/143525 -> ciflow/inductor/143525 2025-01-24T03:28:31.4211570Z * [new tag] ciflow/inductor/143527 -> ciflow/inductor/143527 2025-01-24T03:28:31.4213121Z * [new tag] ciflow/inductor/143533 -> ciflow/inductor/143533 2025-01-24T03:28:31.4214104Z * [new tag] ciflow/inductor/143534 -> ciflow/inductor/143534 2025-01-24T03:28:31.4215653Z * [new tag] ciflow/inductor/143544 -> ciflow/inductor/143544 2025-01-24T03:28:31.4216645Z * [new tag] ciflow/inductor/143559 -> ciflow/inductor/143559 2025-01-24T03:28:31.4218134Z * [new tag] ciflow/inductor/143622 -> ciflow/inductor/143622 2025-01-24T03:28:31.4219124Z * [new tag] ciflow/inductor/143631 -> ciflow/inductor/143631 2025-01-24T03:28:31.4220292Z * [new tag] ciflow/inductor/143638 -> ciflow/inductor/143638 2025-01-24T03:28:31.4221845Z * [new tag] ciflow/inductor/143671 -> ciflow/inductor/143671 2025-01-24T03:28:31.4222872Z * [new tag] ciflow/inductor/143683 -> ciflow/inductor/143683 2025-01-24T03:28:31.4224051Z * [new tag] ciflow/inductor/143712 -> ciflow/inductor/143712 2025-01-24T03:28:31.4225257Z * [new tag] ciflow/inductor/143812 -> ciflow/inductor/143812 2025-01-24T03:28:31.4227014Z * [new tag] ciflow/inductor/143833 -> ciflow/inductor/143833 2025-01-24T03:28:31.4228135Z * [new tag] ciflow/inductor/143872 -> ciflow/inductor/143872 2025-01-24T03:28:31.4229340Z * [new tag] ciflow/inductor/143877 -> ciflow/inductor/143877 2025-01-24T03:28:31.4230842Z * [new tag] ciflow/inductor/143880 -> ciflow/inductor/143880 2025-01-24T03:28:31.4231906Z * [new tag] ciflow/inductor/143961 -> ciflow/inductor/143961 2025-01-24T03:28:31.4233596Z * [new tag] ciflow/inductor/143987 -> ciflow/inductor/143987 2025-01-24T03:28:31.4234658Z * [new tag] ciflow/inductor/144002 -> ciflow/inductor/144002 2025-01-24T03:28:31.4235812Z * [new tag] ciflow/inductor/144008 -> ciflow/inductor/144008 2025-01-24T03:28:31.4237691Z * [new tag] ciflow/inductor/144017 -> ciflow/inductor/144017 2025-01-24T03:28:31.4238835Z * [new tag] ciflow/inductor/144020 -> ciflow/inductor/144020 2025-01-24T03:28:31.4240034Z * [new tag] ciflow/inductor/144073 -> ciflow/inductor/144073 2025-01-24T03:28:31.4241239Z * [new tag] ciflow/inductor/144097 -> ciflow/inductor/144097 2025-01-24T03:28:31.4242705Z * [new tag] ciflow/inductor/144108 -> ciflow/inductor/144108 2025-01-24T03:28:31.4243715Z * [new tag] ciflow/inductor/144114 -> ciflow/inductor/144114 2025-01-24T03:28:31.4244917Z * [new tag] ciflow/inductor/144115 -> ciflow/inductor/144115 2025-01-24T03:28:31.4246383Z * [new tag] ciflow/inductor/144120 -> ciflow/inductor/144120 2025-01-24T03:28:31.4247841Z * [new tag] ciflow/inductor/144172 -> ciflow/inductor/144172 2025-01-24T03:28:31.4249020Z * [new tag] ciflow/inductor/144193 -> ciflow/inductor/144193 2025-01-24T03:28:31.4250567Z * [new tag] ciflow/inductor/144234 -> ciflow/inductor/144234 2025-01-24T03:28:31.4251747Z * [new tag] ciflow/inductor/144272 -> ciflow/inductor/144272 2025-01-24T03:28:31.4253055Z * [new tag] ciflow/inductor/144288 -> ciflow/inductor/144288 2025-01-24T03:28:31.4254223Z * [new tag] ciflow/inductor/144293 -> ciflow/inductor/144293 2025-01-24T03:28:31.4256113Z * [new tag] ciflow/inductor/144294 -> ciflow/inductor/144294 2025-01-24T03:28:31.4257372Z * [new tag] ciflow/inductor/144303 -> ciflow/inductor/144303 2025-01-24T03:28:31.4258451Z * [new tag] ciflow/inductor/144332 -> ciflow/inductor/144332 2025-01-24T03:28:31.4259663Z * [new tag] ciflow/inductor/144333 -> ciflow/inductor/144333 2025-01-24T03:28:31.4261138Z * [new tag] ciflow/inductor/144349 -> ciflow/inductor/144349 2025-01-24T03:28:31.4262347Z * [new tag] ciflow/inductor/144353 -> ciflow/inductor/144353 2025-01-24T03:28:31.4263702Z * [new tag] ciflow/inductor/144365 -> ciflow/inductor/144365 2025-01-24T03:28:31.4264941Z * [new tag] ciflow/inductor/144366 -> ciflow/inductor/144366 2025-01-24T03:28:31.4266292Z * [new tag] ciflow/inductor/144395 -> ciflow/inductor/144395 2025-01-24T03:28:31.4267146Z * [new tag] ciflow/inductor/144405 -> ciflow/inductor/144405 2025-01-24T03:28:31.4268572Z * [new tag] ciflow/inductor/144413 -> ciflow/inductor/144413 2025-01-24T03:28:31.4269792Z * [new tag] ciflow/inductor/144414 -> ciflow/inductor/144414 2025-01-24T03:28:31.4271028Z * [new tag] ciflow/inductor/144420 -> ciflow/inductor/144420 2025-01-24T03:28:31.4272209Z * [new tag] ciflow/inductor/144421 -> ciflow/inductor/144421 2025-01-24T03:28:31.4273601Z * [new tag] ciflow/inductor/144422 -> ciflow/inductor/144422 2025-01-24T03:28:31.4274768Z * [new tag] ciflow/inductor/144423 -> ciflow/inductor/144423 2025-01-24T03:28:31.4276024Z * [new tag] ciflow/inductor/144424 -> ciflow/inductor/144424 2025-01-24T03:28:31.4277247Z * [new tag] ciflow/inductor/144438 -> ciflow/inductor/144438 2025-01-24T03:28:31.4278499Z * [new tag] ciflow/inductor/144452 -> ciflow/inductor/144452 2025-01-24T03:28:31.4279712Z * [new tag] ciflow/inductor/144458 -> ciflow/inductor/144458 2025-01-24T03:28:31.4280733Z * [new tag] ciflow/inductor/144485 -> ciflow/inductor/144485 2025-01-24T03:28:31.4282328Z * [new tag] ciflow/inductor/144492 -> ciflow/inductor/144492 2025-01-24T03:28:31.4283575Z * [new tag] ciflow/inductor/144501 -> ciflow/inductor/144501 2025-01-24T03:28:31.4284814Z * [new tag] ciflow/inductor/144505 -> ciflow/inductor/144505 2025-01-24T03:28:31.4286037Z * [new tag] ciflow/inductor/144507 -> ciflow/inductor/144507 2025-01-24T03:28:31.4287787Z * [new tag] ciflow/inductor/144513 -> ciflow/inductor/144513 2025-01-24T03:28:31.4289064Z * [new tag] ciflow/inductor/144515 -> ciflow/inductor/144515 2025-01-24T03:28:31.4290238Z * [new tag] ciflow/inductor/144516 -> ciflow/inductor/144516 2025-01-24T03:28:31.4291468Z * [new tag] ciflow/inductor/144526 -> ciflow/inductor/144526 2025-01-24T03:28:31.4292708Z * [new tag] ciflow/inductor/144527 -> ciflow/inductor/144527 2025-01-24T03:28:31.4293984Z * [new tag] ciflow/inductor/144528 -> ciflow/inductor/144528 2025-01-24T03:28:31.4294921Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-01-24T03:28:31.4296343Z * [new tag] ciflow/inductor/144546 -> ciflow/inductor/144546 2025-01-24T03:28:31.4297615Z * [new tag] ciflow/inductor/144547 -> ciflow/inductor/144547 2025-01-24T03:28:31.4298857Z * [new tag] ciflow/inductor/144549 -> ciflow/inductor/144549 2025-01-24T03:28:31.4300061Z * [new tag] ciflow/inductor/144550 -> ciflow/inductor/144550 2025-01-24T03:28:31.4301267Z * [new tag] ciflow/inductor/144551 -> ciflow/inductor/144551 2025-01-24T03:28:31.4302564Z * [new tag] ciflow/inductor/144553 -> ciflow/inductor/144553 2025-01-24T03:28:31.4304141Z * [new tag] ciflow/inductor/144555 -> ciflow/inductor/144555 2025-01-24T03:28:31.4305527Z * [new tag] ciflow/inductor/144556 -> ciflow/inductor/144556 2025-01-24T03:28:31.4306783Z * [new tag] ciflow/inductor/144569 -> ciflow/inductor/144569 2025-01-24T03:28:31.4308345Z * [new tag] ciflow/inductor/144579 -> ciflow/inductor/144579 2025-01-24T03:28:31.4309829Z * [new tag] ciflow/inductor/144598 -> ciflow/inductor/144598 2025-01-24T03:28:31.4311061Z * [new tag] ciflow/inductor/144640 -> ciflow/inductor/144640 2025-01-24T03:28:31.4312517Z * [new tag] ciflow/inductor/144642 -> ciflow/inductor/144642 2025-01-24T03:28:31.4313981Z * [new tag] ciflow/inductor/144646 -> ciflow/inductor/144646 2025-01-24T03:28:31.4315253Z * [new tag] ciflow/inductor/144695 -> ciflow/inductor/144695 2025-01-24T03:28:31.4316470Z * [new tag] ciflow/inductor/144700 -> ciflow/inductor/144700 2025-01-24T03:28:31.4317732Z * [new tag] ciflow/inductor/144707 -> ciflow/inductor/144707 2025-01-24T03:28:31.4319042Z * [new tag] ciflow/inductor/144712 -> ciflow/inductor/144712 2025-01-24T03:28:31.4320303Z * [new tag] ciflow/inductor/144721 -> ciflow/inductor/144721 2025-01-24T03:28:31.4322009Z * [new tag] ciflow/inductor/144724 -> ciflow/inductor/144724 2025-01-24T03:28:31.4322720Z * [new tag] ciflow/inductor/144733 -> ciflow/inductor/144733 2025-01-24T03:28:31.4324206Z * [new tag] ciflow/inductor/144741 -> ciflow/inductor/144741 2025-01-24T03:28:31.4325431Z * [new tag] ciflow/inductor/144765 -> ciflow/inductor/144765 2025-01-24T03:28:31.4326770Z * [new tag] ciflow/inductor/144771 -> ciflow/inductor/144771 2025-01-24T03:28:31.4328180Z * [new tag] ciflow/inductor/144773 -> ciflow/inductor/144773 2025-01-24T03:28:31.4329500Z * [new tag] ciflow/inductor/144829 -> ciflow/inductor/144829 2025-01-24T03:28:31.4330913Z * [new tag] ciflow/inductor/144865 -> ciflow/inductor/144865 2025-01-24T03:28:31.4332260Z * [new tag] ciflow/inductor/144880 -> ciflow/inductor/144880 2025-01-24T03:28:31.4333534Z * [new tag] ciflow/inductor/144894 -> ciflow/inductor/144894 2025-01-24T03:28:31.4334787Z * [new tag] ciflow/inductor/144905 -> ciflow/inductor/144905 2025-01-24T03:28:31.4336136Z * [new tag] ciflow/inductor/144925 -> ciflow/inductor/144925 2025-01-24T03:28:31.4337748Z * [new tag] ciflow/inductor/144940 -> ciflow/inductor/144940 2025-01-24T03:28:31.4338589Z * [new tag] ciflow/inductor/144943 -> ciflow/inductor/144943 2025-01-24T03:28:31.4340425Z * [new tag] ciflow/inductor/144953 -> ciflow/inductor/144953 2025-01-24T03:28:31.4341684Z * [new tag] ciflow/inductor/144974 -> ciflow/inductor/144974 2025-01-24T03:28:31.4342899Z * [new tag] ciflow/inductor/144975 -> ciflow/inductor/144975 2025-01-24T03:28:31.4344148Z * [new tag] ciflow/inductor/144979 -> ciflow/inductor/144979 2025-01-24T03:28:31.4345533Z * [new tag] ciflow/inductor/144980 -> ciflow/inductor/144980 2025-01-24T03:28:31.4346857Z * [new tag] ciflow/inductor/144985 -> ciflow/inductor/144985 2025-01-24T03:28:31.4348136Z * [new tag] ciflow/inductor/144986 -> ciflow/inductor/144986 2025-01-24T03:28:31.4349352Z * [new tag] ciflow/inductor/144999 -> ciflow/inductor/144999 2025-01-24T03:28:31.4350612Z * [new tag] ciflow/inductor/145024 -> ciflow/inductor/145024 2025-01-24T03:28:31.4351850Z * [new tag] ciflow/inductor/145047 -> ciflow/inductor/145047 2025-01-24T03:28:31.4353330Z * [new tag] ciflow/inductor/145059 -> ciflow/inductor/145059 2025-01-24T03:28:31.4354202Z * [new tag] ciflow/inductor/145061 -> ciflow/inductor/145061 2025-01-24T03:28:31.4355675Z * [new tag] ciflow/inductor/145082 -> ciflow/inductor/145082 2025-01-24T03:28:31.4356903Z * [new tag] ciflow/inductor/145083 -> ciflow/inductor/145083 2025-01-24T03:28:31.4358156Z * [new tag] ciflow/inductor/145095 -> ciflow/inductor/145095 2025-01-24T03:28:31.4359370Z * [new tag] ciflow/inductor/145103 -> ciflow/inductor/145103 2025-01-24T03:28:31.4361080Z * [new tag] ciflow/inductor/145104 -> ciflow/inductor/145104 2025-01-24T03:28:31.4361700Z * [new tag] ciflow/inductor/145117 -> ciflow/inductor/145117 2025-01-24T03:28:31.4363113Z * [new tag] ciflow/inductor/145119 -> ciflow/inductor/145119 2025-01-24T03:28:31.4364366Z * [new tag] ciflow/inductor/145120 -> ciflow/inductor/145120 2025-01-24T03:28:31.4365604Z * [new tag] ciflow/inductor/145122 -> ciflow/inductor/145122 2025-01-24T03:28:31.4366807Z * [new tag] ciflow/inductor/145128 -> ciflow/inductor/145128 2025-01-24T03:28:31.4368295Z * [new tag] ciflow/inductor/145130 -> ciflow/inductor/145130 2025-01-24T03:28:31.4369643Z * [new tag] ciflow/inductor/145132 -> ciflow/inductor/145132 2025-01-24T03:28:31.4371524Z * [new tag] ciflow/inductor/145148 -> ciflow/inductor/145148 2025-01-24T03:28:31.4372891Z * [new tag] ciflow/inductor/145150 -> ciflow/inductor/145150 2025-01-24T03:28:31.4374500Z * [new tag] ciflow/inductor/145153 -> ciflow/inductor/145153 2025-01-24T03:28:31.4375884Z * [new tag] ciflow/inductor/145156 -> ciflow/inductor/145156 2025-01-24T03:28:31.4377394Z * [new tag] ciflow/inductor/145194 -> ciflow/inductor/145194 2025-01-24T03:28:31.4378717Z * [new tag] ciflow/inductor/145196 -> ciflow/inductor/145196 2025-01-24T03:28:31.4380285Z * [new tag] ciflow/inductor/145204 -> ciflow/inductor/145204 2025-01-24T03:28:31.4381651Z * [new tag] ciflow/inductor/145223 -> ciflow/inductor/145223 2025-01-24T03:28:31.4383015Z * [new tag] ciflow/inductor/145245 -> ciflow/inductor/145245 2025-01-24T03:28:31.4384477Z * [new tag] ciflow/inductor/145248 -> ciflow/inductor/145248 2025-01-24T03:28:31.4385818Z * [new tag] ciflow/inductor/145250 -> ciflow/inductor/145250 2025-01-24T03:28:31.4387209Z * [new tag] ciflow/inductor/145254 -> ciflow/inductor/145254 2025-01-24T03:28:31.4388825Z * [new tag] ciflow/inductor/145303 -> ciflow/inductor/145303 2025-01-24T03:28:31.4390286Z * [new tag] ciflow/inductor/145307 -> ciflow/inductor/145307 2025-01-24T03:28:31.4391657Z * [new tag] ciflow/inductor/145311 -> ciflow/inductor/145311 2025-01-24T03:28:31.4393254Z * [new tag] ciflow/inductor/145318 -> ciflow/inductor/145318 2025-01-24T03:28:31.4394655Z * [new tag] ciflow/inductor/145321 -> ciflow/inductor/145321 2025-01-24T03:28:31.4396161Z * [new tag] ciflow/inductor/145323 -> ciflow/inductor/145323 2025-01-24T03:28:31.4397542Z * [new tag] ciflow/inductor/145331 -> ciflow/inductor/145331 2025-01-24T03:28:31.4398940Z * [new tag] ciflow/inductor/145353 -> ciflow/inductor/145353 2025-01-24T03:28:31.4400365Z * [new tag] ciflow/inductor/145354 -> ciflow/inductor/145354 2025-01-24T03:28:31.4401743Z * [new tag] ciflow/inductor/145373 -> ciflow/inductor/145373 2025-01-24T03:28:31.4403235Z * [new tag] ciflow/inductor/145375 -> ciflow/inductor/145375 2025-01-24T03:28:31.4404839Z * [new tag] ciflow/inductor/145381 -> ciflow/inductor/145381 2025-01-24T03:28:31.4406228Z * [new tag] ciflow/inductor/145400 -> ciflow/inductor/145400 2025-01-24T03:28:31.4407798Z * [new tag] ciflow/inductor/145403 -> ciflow/inductor/145403 2025-01-24T03:28:31.4409382Z * [new tag] ciflow/inductor/145407 -> ciflow/inductor/145407 2025-01-24T03:28:31.4410856Z * [new tag] ciflow/inductor/145415 -> ciflow/inductor/145415 2025-01-24T03:28:31.4412165Z * [new tag] ciflow/inductor/145421 -> ciflow/inductor/145421 2025-01-24T03:28:31.4413554Z * [new tag] ciflow/inductor/145422 -> ciflow/inductor/145422 2025-01-24T03:28:31.4414967Z * [new tag] ciflow/inductor/145426 -> ciflow/inductor/145426 2025-01-24T03:28:31.4416558Z * [new tag] ciflow/inductor/145427 -> ciflow/inductor/145427 2025-01-24T03:28:31.4417867Z * [new tag] ciflow/inductor/145429 -> ciflow/inductor/145429 2025-01-24T03:28:31.4419241Z * [new tag] ciflow/inductor/145431 -> ciflow/inductor/145431 2025-01-24T03:28:31.4420631Z * [new tag] ciflow/inductor/145435 -> ciflow/inductor/145435 2025-01-24T03:28:31.4422084Z * [new tag] ciflow/inductor/145448 -> ciflow/inductor/145448 2025-01-24T03:28:31.4423437Z * [new tag] ciflow/inductor/145455 -> ciflow/inductor/145455 2025-01-24T03:28:31.4425007Z * [new tag] ciflow/inductor/145459 -> ciflow/inductor/145459 2025-01-24T03:28:31.4426395Z * [new tag] ciflow/inductor/145475 -> ciflow/inductor/145475 2025-01-24T03:28:31.4427793Z * [new tag] ciflow/inductor/145479 -> ciflow/inductor/145479 2025-01-24T03:28:31.4429193Z * [new tag] ciflow/inductor/145490 -> ciflow/inductor/145490 2025-01-24T03:28:31.4430689Z * [new tag] ciflow/inductor/145506 -> ciflow/inductor/145506 2025-01-24T03:28:31.4432140Z * [new tag] ciflow/inductor/145509 -> ciflow/inductor/145509 2025-01-24T03:28:31.4433759Z * [new tag] ciflow/inductor/145515 -> ciflow/inductor/145515 2025-01-24T03:28:31.4435116Z * [new tag] ciflow/inductor/145518 -> ciflow/inductor/145518 2025-01-24T03:28:31.4436346Z * [new tag] ciflow/inductor/145519 -> ciflow/inductor/145519 2025-01-24T03:28:31.4437851Z * [new tag] ciflow/inductor/145523 -> ciflow/inductor/145523 2025-01-24T03:28:31.4439280Z * [new tag] ciflow/inductor/145527 -> ciflow/inductor/145527 2025-01-24T03:28:31.4440610Z * [new tag] ciflow/inductor/145532 -> ciflow/inductor/145532 2025-01-24T03:28:31.4442313Z * [new tag] ciflow/inductor/145533 -> ciflow/inductor/145533 2025-01-24T03:28:31.4443797Z * [new tag] ciflow/inductor/145537 -> ciflow/inductor/145537 2025-01-24T03:28:31.4445225Z * [new tag] ciflow/inductor/145538 -> ciflow/inductor/145538 2025-01-24T03:28:31.4446559Z * [new tag] ciflow/inductor/145539 -> ciflow/inductor/145539 2025-01-24T03:28:31.4447963Z * [new tag] ciflow/inductor/145540 -> ciflow/inductor/145540 2025-01-24T03:28:31.4449359Z * [new tag] ciflow/inductor/145542 -> ciflow/inductor/145542 2025-01-24T03:28:31.4450756Z * [new tag] ciflow/inductor/145546 -> ciflow/inductor/145546 2025-01-24T03:28:31.4452117Z * [new tag] ciflow/inductor/145547 -> ciflow/inductor/145547 2025-01-24T03:28:31.4453504Z * [new tag] ciflow/inductor/145548 -> ciflow/inductor/145548 2025-01-24T03:28:31.4454881Z * [new tag] ciflow/inductor/145549 -> ciflow/inductor/145549 2025-01-24T03:28:31.4456451Z * [new tag] ciflow/inductor/145551 -> ciflow/inductor/145551 2025-01-24T03:28:31.4457674Z * [new tag] ciflow/inductor/145552 -> ciflow/inductor/145552 2025-01-24T03:28:31.4459070Z * [new tag] ciflow/inductor/145553 -> ciflow/inductor/145553 2025-01-24T03:28:31.4460415Z * [new tag] ciflow/inductor/145554 -> ciflow/inductor/145554 2025-01-24T03:28:31.4461812Z * [new tag] ciflow/inductor/145558 -> ciflow/inductor/145558 2025-01-24T03:28:31.4463718Z * [new tag] ciflow/inductor/145559 -> ciflow/inductor/145559 2025-01-24T03:28:31.4465269Z * [new tag] ciflow/inductor/145562 -> ciflow/inductor/145562 2025-01-24T03:28:31.4466642Z * [new tag] ciflow/inductor/145565 -> ciflow/inductor/145565 2025-01-24T03:28:31.4468016Z * [new tag] ciflow/inductor/145569 -> ciflow/inductor/145569 2025-01-24T03:28:31.4469400Z * [new tag] ciflow/inductor/145572 -> ciflow/inductor/145572 2025-01-24T03:28:31.4470766Z * [new tag] ciflow/inductor/145573 -> ciflow/inductor/145573 2025-01-24T03:28:31.4472317Z * [new tag] ciflow/inductor/145575 -> ciflow/inductor/145575 2025-01-24T03:28:31.4473747Z * [new tag] ciflow/inductor/145576 -> ciflow/inductor/145576 2025-01-24T03:28:31.4475157Z * [new tag] ciflow/inductor/145577 -> ciflow/inductor/145577 2025-01-24T03:28:31.4476498Z * [new tag] ciflow/inductor/145579 -> ciflow/inductor/145579 2025-01-24T03:28:31.4477878Z * [new tag] ciflow/inductor/145583 -> ciflow/inductor/145583 2025-01-24T03:28:31.4479516Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-01-24T03:28:31.4481024Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-01-24T03:28:31.4482721Z * [new tag] ciflow/inductor/88106 -> ciflow/inductor/88106 2025-01-24T03:28:31.4484326Z * [new tag] ciflow/inductor/88196 -> ciflow/inductor/88196 2025-01-24T03:28:31.4485913Z * [new tag] ciflow/inductor/88998 -> ciflow/inductor/88998 2025-01-24T03:28:31.4487492Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-01-24T03:28:31.4489512Z * [new tag] ciflow/linux-aarch64/125888 -> ciflow/linux-aarch64/125888 2025-01-24T03:28:31.4490655Z * [new tag] ciflow/linux-aarch64/126050 -> ciflow/linux-aarch64/126050 2025-01-24T03:28:31.4491654Z * [new tag] ciflow/linux-aarch64/126054 -> ciflow/linux-aarch64/126054 2025-01-24T03:28:31.4492870Z * [new tag] ciflow/linux-aarch64/133297 -> ciflow/linux-aarch64/133297 2025-01-24T03:28:31.4493868Z * [new tag] ciflow/linux-aarch64/133315 -> ciflow/linux-aarch64/133315 2025-01-24T03:28:31.4495120Z * [new tag] ciflow/linux-aarch64/133392 -> ciflow/linux-aarch64/133392 2025-01-24T03:28:31.4496270Z * [new tag] ciflow/linux-aarch64/133419 -> ciflow/linux-aarch64/133419 2025-01-24T03:28:31.4497385Z * [new tag] ciflow/linux-aarch64/133423 -> ciflow/linux-aarch64/133423 2025-01-24T03:28:31.4498506Z * [new tag] ciflow/linux-aarch64/133667 -> ciflow/linux-aarch64/133667 2025-01-24T03:28:31.4499630Z * [new tag] ciflow/linux-aarch64/133753 -> ciflow/linux-aarch64/133753 2025-01-24T03:28:31.4500921Z * [new tag] ciflow/linux-aarch64/135058 -> ciflow/linux-aarch64/135058 2025-01-24T03:28:31.4502432Z * [new tag] ciflow/linux-aarch64/135333 -> ciflow/linux-aarch64/135333 2025-01-24T03:28:31.4503966Z * [new tag] ciflow/linux-aarch64/135792 -> ciflow/linux-aarch64/135792 2025-01-24T03:28:31.4505391Z * [new tag] ciflow/linux-aarch64/136355 -> ciflow/linux-aarch64/136355 2025-01-24T03:28:31.4506702Z * [new tag] ciflow/linux-aarch64/137562 -> ciflow/linux-aarch64/137562 2025-01-24T03:28:31.4507771Z * [new tag] ciflow/linux-aarch64/137568 -> ciflow/linux-aarch64/137568 2025-01-24T03:28:31.4509294Z * [new tag] ciflow/linux-aarch64/137995 -> ciflow/linux-aarch64/137995 2025-01-24T03:28:31.4510689Z * [new tag] ciflow/linux-aarch64/138388 -> ciflow/linux-aarch64/138388 2025-01-24T03:28:31.4511845Z * [new tag] ciflow/linux-aarch64/138889 -> ciflow/linux-aarch64/138889 2025-01-24T03:28:31.4513135Z * [new tag] ciflow/linux-aarch64/139243 -> ciflow/linux-aarch64/139243 2025-01-24T03:28:31.4514322Z * [new tag] ciflow/linux-aarch64/139973 -> ciflow/linux-aarch64/139973 2025-01-24T03:28:31.4515526Z * [new tag] ciflow/linux-aarch64/140159 -> ciflow/linux-aarch64/140159 2025-01-24T03:28:31.4516693Z * [new tag] ciflow/linux-aarch64/140362 -> ciflow/linux-aarch64/140362 2025-01-24T03:28:31.4517817Z * [new tag] ciflow/linux-aarch64/142501 -> ciflow/linux-aarch64/142501 2025-01-24T03:28:31.4519002Z * [new tag] ciflow/linux-aarch64/142760 -> ciflow/linux-aarch64/142760 2025-01-24T03:28:31.4520358Z * [new tag] ciflow/linux-aarch64/143741 -> ciflow/linux-aarch64/143741 2025-01-24T03:28:31.4521942Z * [new tag] ciflow/mps/102148 -> ciflow/mps/102148 2025-01-24T03:28:31.4523065Z * [new tag] ciflow/mps/119496 -> ciflow/mps/119496 2025-01-24T03:28:31.4524192Z * [new tag] ciflow/mps/120076 -> ciflow/mps/120076 2025-01-24T03:28:31.4525351Z * [new tag] ciflow/mps/133423 -> ciflow/mps/133423 2025-01-24T03:28:31.4526224Z * [new tag] ciflow/mps/133667 -> ciflow/mps/133667 2025-01-24T03:28:31.4527470Z * [new tag] ciflow/mps/137562 -> ciflow/mps/137562 2025-01-24T03:28:31.4528923Z * [new tag] ciflow/mps/138640 -> ciflow/mps/138640 2025-01-24T03:28:31.4530030Z * [new tag] ciflow/mps/139469 -> ciflow/mps/139469 2025-01-24T03:28:31.4530887Z * [new tag] ciflow/mps/140159 -> ciflow/mps/140159 2025-01-24T03:28:31.4532343Z * [new tag] ciflow/mps/140211 -> ciflow/mps/140211 2025-01-24T03:28:31.4533844Z * [new tag] ciflow/mps/140371 -> ciflow/mps/140371 2025-01-24T03:28:31.4535849Z * [new tag] ciflow/mps/140725 -> ciflow/mps/140725 2025-01-24T03:28:31.4537347Z * [new tag] ciflow/mps/140869 -> ciflow/mps/140869 2025-01-24T03:28:31.4538737Z * [new tag] ciflow/mps/141795 -> ciflow/mps/141795 2025-01-24T03:28:31.4540688Z * [new tag] ciflow/mps/142202 -> ciflow/mps/142202 2025-01-24T03:28:31.4542028Z * [new tag] ciflow/mps/142477 -> ciflow/mps/142477 2025-01-24T03:28:31.4543234Z * [new tag] ciflow/mps/143630 -> ciflow/mps/143630 2025-01-24T03:28:31.4544611Z * [new tag] ciflow/mps/143656 -> ciflow/mps/143656 2025-01-24T03:28:31.4545855Z * [new tag] ciflow/mps/143911 -> ciflow/mps/143911 2025-01-24T03:28:31.4547035Z * [new tag] ciflow/mps/143966 -> ciflow/mps/143966 2025-01-24T03:28:31.4548180Z * [new tag] ciflow/mps/144193 -> ciflow/mps/144193 2025-01-24T03:28:31.4549358Z * [new tag] ciflow/mps/144405 -> ciflow/mps/144405 2025-01-24T03:28:31.4550517Z * [new tag] ciflow/mps/144664 -> ciflow/mps/144664 2025-01-24T03:28:31.4551714Z * [new tag] ciflow/mps/145512 -> ciflow/mps/145512 2025-01-24T03:28:31.4552999Z * [new tag] ciflow/mps/145526 -> ciflow/mps/145526 2025-01-24T03:28:31.4554494Z * [new tag] ciflow/mps/145533 -> ciflow/mps/145533 2025-01-24T03:28:31.4555377Z * [new tag] ciflow/mps/145568 -> ciflow/mps/145568 2025-01-24T03:28:31.4556735Z * [new tag] ciflow/mps/145578 -> ciflow/mps/145578 2025-01-24T03:28:31.4557895Z * [new tag] ciflow/mps/145581 -> ciflow/mps/145581 2025-01-24T03:28:31.4560076Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-01-24T03:28:31.4561437Z * [new tag] ciflow/periodic/123020 -> ciflow/periodic/123020 2025-01-24T03:28:31.4562738Z * [new tag] ciflow/periodic/131296 -> ciflow/periodic/131296 2025-01-24T03:28:31.4563856Z * [new tag] ciflow/periodic/131493 -> ciflow/periodic/131493 2025-01-24T03:28:31.4564976Z * [new tag] ciflow/periodic/132742 -> ciflow/periodic/132742 2025-01-24T03:28:31.4566102Z * [new tag] ciflow/periodic/132755 -> ciflow/periodic/132755 2025-01-24T03:28:31.4567319Z * [new tag] ciflow/periodic/134817 -> ciflow/periodic/134817 2025-01-24T03:28:31.4568423Z * [new tag] ciflow/periodic/138503 -> ciflow/periodic/138503 2025-01-24T03:28:31.4569519Z * [new tag] ciflow/periodic/138573 -> ciflow/periodic/138573 2025-01-24T03:28:31.4570792Z * [new tag] ciflow/periodic/139225 -> ciflow/periodic/139225 2025-01-24T03:28:31.4571787Z * [new tag] ciflow/periodic/139576 -> ciflow/periodic/139576 2025-01-24T03:28:31.4573514Z * [new tag] ciflow/periodic/140293 -> ciflow/periodic/140293 2025-01-24T03:28:31.4575047Z * [new tag] ciflow/periodic/140989 -> ciflow/periodic/140989 2025-01-24T03:28:31.4576509Z * [new tag] ciflow/periodic/141168 -> ciflow/periodic/141168 2025-01-24T03:28:31.4577513Z * [new tag] ciflow/periodic/141309 -> ciflow/periodic/141309 2025-01-24T03:28:31.4578876Z * [new tag] ciflow/periodic/141355 -> ciflow/periodic/141355 2025-01-24T03:28:31.4580043Z * [new tag] ciflow/periodic/141588 -> ciflow/periodic/141588 2025-01-24T03:28:31.4581238Z * [new tag] ciflow/periodic/141730 -> ciflow/periodic/141730 2025-01-24T03:28:31.4582412Z * [new tag] ciflow/periodic/142179 -> ciflow/periodic/142179 2025-01-24T03:28:31.4583587Z * [new tag] ciflow/periodic/143806 -> ciflow/periodic/143806 2025-01-24T03:28:31.4584927Z * [new tag] ciflow/periodic/143959 -> ciflow/periodic/143959 2025-01-24T03:28:31.4586119Z * [new tag] ciflow/periodic/144953 -> ciflow/periodic/144953 2025-01-24T03:28:31.4587279Z * [new tag] ciflow/periodic/145130 -> ciflow/periodic/145130 2025-01-24T03:28:31.4588621Z * [new tag] ciflow/periodic/145416 -> ciflow/periodic/145416 2025-01-24T03:28:31.4589788Z * [new tag] ciflow/periodic/145504 -> ciflow/periodic/145504 2025-01-24T03:28:31.4591230Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-01-24T03:28:31.4592642Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-01-24T03:28:31.4593986Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-01-24T03:28:31.4595417Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-01-24T03:28:31.4596901Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-01-24T03:28:31.4598665Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-01-24T03:28:31.4600054Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-01-24T03:28:31.4601526Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-01-24T03:28:31.4602967Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-01-24T03:28:31.4604457Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-01-24T03:28:31.4605955Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-01-24T03:28:31.4607523Z * [new tag] ciflow/rocm/121885 -> ciflow/rocm/121885 2025-01-24T03:28:31.4612687Z * [new tag] ciflow/rocm/124424 -> ciflow/rocm/124424 2025-01-24T03:28:31.4613916Z * [new tag] ciflow/rocm/129409 -> ciflow/rocm/129409 2025-01-24T03:28:31.4615053Z * [new tag] ciflow/rocm/134817 -> ciflow/rocm/134817 2025-01-24T03:28:31.4616423Z * [new tag] ciflow/rocm/137136 -> ciflow/rocm/137136 2025-01-24T03:28:31.4617712Z * [new tag] ciflow/rocm/138964 -> ciflow/rocm/138964 2025-01-24T03:28:31.4618703Z * [new tag] ciflow/rocm/139469 -> ciflow/rocm/139469 2025-01-24T03:28:31.4619901Z * [new tag] ciflow/rocm/139975 -> ciflow/rocm/139975 2025-01-24T03:28:31.4621036Z * [new tag] ciflow/rocm/140261 -> ciflow/rocm/140261 2025-01-24T03:28:31.4622203Z * [new tag] ciflow/rocm/140293 -> ciflow/rocm/140293 2025-01-24T03:28:31.4623336Z * [new tag] ciflow/rocm/140989 -> ciflow/rocm/140989 2025-01-24T03:28:31.4624882Z * [new tag] ciflow/rocm/141309 -> ciflow/rocm/141309 2025-01-24T03:28:31.4626426Z * [new tag] ciflow/rocm/141355 -> ciflow/rocm/141355 2025-01-24T03:28:31.4627956Z * [new tag] ciflow/rocm/142408 -> ciflow/rocm/142408 2025-01-24T03:28:31.4629128Z * [new tag] ciflow/rocm/143286 -> ciflow/rocm/143286 2025-01-24T03:28:31.4630166Z * [new tag] ciflow/rocm/143416 -> ciflow/rocm/143416 2025-01-24T03:28:31.4631643Z * [new tag] ciflow/rocm/143971 -> ciflow/rocm/143971 2025-01-24T03:28:31.4633032Z * [new tag] ciflow/rocm/144120 -> ciflow/rocm/144120 2025-01-24T03:28:31.4634320Z * [new tag] ciflow/rocm/144441 -> ciflow/rocm/144441 2025-01-24T03:28:31.4635789Z * [new tag] ciflow/rocm/144476 -> ciflow/rocm/144476 2025-01-24T03:28:31.4637216Z * [new tag] ciflow/rocm/144572 -> ciflow/rocm/144572 2025-01-24T03:28:31.4638451Z * [new tag] ciflow/rocm/144664 -> ciflow/rocm/144664 2025-01-24T03:28:31.4639682Z * [new tag] ciflow/rocm/144865 -> ciflow/rocm/144865 2025-01-24T03:28:31.4640999Z * [new tag] ciflow/rocm/144942 -> ciflow/rocm/144942 2025-01-24T03:28:31.4642221Z * [new tag] ciflow/rocm/144985 -> ciflow/rocm/144985 2025-01-24T03:28:31.4643439Z * [new tag] ciflow/rocm/145083 -> ciflow/rocm/145083 2025-01-24T03:28:31.4645100Z * [new tag] ciflow/rocm/145130 -> ciflow/rocm/145130 2025-01-24T03:28:31.4646817Z * [new tag] ciflow/rocm/145227 -> ciflow/rocm/145227 2025-01-24T03:28:31.4648373Z * [new tag] ciflow/rocm/145294 -> ciflow/rocm/145294 2025-01-24T03:28:31.4649623Z * [new tag] ciflow/rocm/145416 -> ciflow/rocm/145416 2025-01-24T03:28:31.4650769Z * [new tag] ciflow/rocm/145475 -> ciflow/rocm/145475 2025-01-24T03:28:31.4651991Z * [new tag] ciflow/rocm/145490 -> ciflow/rocm/145490 2025-01-24T03:28:31.4653177Z * [new tag] ciflow/rocm/145504 -> ciflow/rocm/145504 2025-01-24T03:28:31.4654408Z * [new tag] ciflow/rocm/145518 -> ciflow/rocm/145518 2025-01-24T03:28:31.4655925Z * [new tag] ciflow/s390/137995 -> ciflow/s390/137995 2025-01-24T03:28:31.4657051Z * [new tag] ciflow/s390/142346 -> ciflow/s390/142346 2025-01-24T03:28:31.4658192Z * [new tag] ciflow/s390/143959 -> ciflow/s390/143959 2025-01-24T03:28:31.4659745Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-01-24T03:28:31.4660984Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-01-24T03:28:31.4662667Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-01-24T03:28:31.4663467Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-01-24T03:28:31.4664772Z * [new tag] ciflow/slow/139975 -> ciflow/slow/139975 2025-01-24T03:28:31.4665903Z * [new tag] ciflow/slow/141588 -> ciflow/slow/141588 2025-01-24T03:28:31.4667015Z * [new tag] ciflow/slow/144865 -> ciflow/slow/144865 2025-01-24T03:28:31.4668147Z * [new tag] ciflow/slow/145206 -> ciflow/slow/145206 2025-01-24T03:28:31.4669787Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-01-24T03:28:31.4671627Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-01-24T03:28:31.4673242Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-01-24T03:28:31.4674652Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-01-24T03:28:31.4675979Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-01-24T03:28:31.4677835Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-01-24T03:28:31.4679185Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-01-24T03:28:31.4680558Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-01-24T03:28:31.4682308Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-01-24T03:28:31.4683191Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-01-24T03:28:31.4684730Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-01-24T03:28:31.4686128Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-01-24T03:28:31.4687523Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-01-24T03:28:31.4689012Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-01-24T03:28:31.4690778Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-01-24T03:28:31.4691969Z * [new tag] ciflow/trunk/108303 -> ciflow/trunk/108303 2025-01-24T03:28:31.4693078Z * [new tag] ciflow/trunk/113257 -> ciflow/trunk/113257 2025-01-24T03:28:31.4694178Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-01-24T03:28:31.4695302Z * [new tag] ciflow/trunk/115749 -> ciflow/trunk/115749 2025-01-24T03:28:31.4696440Z * [new tag] ciflow/trunk/120076 -> ciflow/trunk/120076 2025-01-24T03:28:31.4697335Z * [new tag] ciflow/trunk/121445 -> ciflow/trunk/121445 2025-01-24T03:28:31.4698608Z * [new tag] ciflow/trunk/123020 -> ciflow/trunk/123020 2025-01-24T03:28:31.4699733Z * [new tag] ciflow/trunk/124424 -> ciflow/trunk/124424 2025-01-24T03:28:31.4701003Z * [new tag] ciflow/trunk/124490 -> ciflow/trunk/124490 2025-01-24T03:28:31.4701888Z * [new tag] ciflow/trunk/125469 -> ciflow/trunk/125469 2025-01-24T03:28:31.4703243Z * [new tag] ciflow/trunk/125806 -> ciflow/trunk/125806 2025-01-24T03:28:31.4704676Z * [new tag] ciflow/trunk/125888 -> ciflow/trunk/125888 2025-01-24T03:28:31.4706231Z * [new tag] ciflow/trunk/125995 -> ciflow/trunk/125995 2025-01-24T03:28:31.4707816Z * [new tag] ciflow/trunk/126050 -> ciflow/trunk/126050 2025-01-24T03:28:31.4709113Z * [new tag] ciflow/trunk/126054 -> ciflow/trunk/126054 2025-01-24T03:28:31.4710594Z * [new tag] ciflow/trunk/126635 -> ciflow/trunk/126635 2025-01-24T03:28:31.4711923Z * [new tag] ciflow/trunk/127171 -> ciflow/trunk/127171 2025-01-24T03:28:31.4713451Z * [new tag] ciflow/trunk/127370 -> ciflow/trunk/127370 2025-01-24T03:28:31.4714887Z * [new tag] ciflow/trunk/127919 -> ciflow/trunk/127919 2025-01-24T03:28:31.4716123Z * [new tag] ciflow/trunk/128672 -> ciflow/trunk/128672 2025-01-24T03:28:31.4717351Z * [new tag] ciflow/trunk/129352 -> ciflow/trunk/129352 2025-01-24T03:28:31.4718496Z * [new tag] ciflow/trunk/129409 -> ciflow/trunk/129409 2025-01-24T03:28:31.4719656Z * [new tag] ciflow/trunk/129420 -> ciflow/trunk/129420 2025-01-24T03:28:31.4720828Z * [new tag] ciflow/trunk/130140 -> ciflow/trunk/130140 2025-01-24T03:28:31.4722049Z * [new tag] ciflow/trunk/130141 -> ciflow/trunk/130141 2025-01-24T03:28:31.4723209Z * [new tag] ciflow/trunk/130752 -> ciflow/trunk/130752 2025-01-24T03:28:31.4724387Z * [new tag] ciflow/trunk/131296 -> ciflow/trunk/131296 2025-01-24T03:28:31.4725560Z * [new tag] ciflow/trunk/131354 -> ciflow/trunk/131354 2025-01-24T03:28:31.4727004Z * [new tag] ciflow/trunk/131481 -> ciflow/trunk/131481 2025-01-24T03:28:31.4727932Z * [new tag] ciflow/trunk/131493 -> ciflow/trunk/131493 2025-01-24T03:28:31.4729340Z * [new tag] ciflow/trunk/131507 -> ciflow/trunk/131507 2025-01-24T03:28:31.4730537Z * [new tag] ciflow/trunk/132021 -> ciflow/trunk/132021 2025-01-24T03:28:31.4731705Z * [new tag] ciflow/trunk/132742 -> ciflow/trunk/132742 2025-01-24T03:28:31.4732886Z * [new tag] ciflow/trunk/132755 -> ciflow/trunk/132755 2025-01-24T03:28:31.4734057Z * [new tag] ciflow/trunk/133044 -> ciflow/trunk/133044 2025-01-24T03:28:31.4735371Z * [new tag] ciflow/trunk/133222 -> ciflow/trunk/133222 2025-01-24T03:28:31.4736578Z * [new tag] ciflow/trunk/133289 -> ciflow/trunk/133289 2025-01-24T03:28:31.4737774Z * [new tag] ciflow/trunk/133296 -> ciflow/trunk/133296 2025-01-24T03:28:31.4739524Z * [new tag] ciflow/trunk/133297 -> ciflow/trunk/133297 2025-01-24T03:28:31.4740730Z * [new tag] ciflow/trunk/133315 -> ciflow/trunk/133315 2025-01-24T03:28:31.4741921Z * [new tag] ciflow/trunk/133392 -> ciflow/trunk/133392 2025-01-24T03:28:31.4745155Z * [new tag] ciflow/trunk/133419 -> ciflow/trunk/133419 2025-01-24T03:28:31.4745412Z * [new tag] ciflow/trunk/133423 -> ciflow/trunk/133423 2025-01-24T03:28:31.4745639Z * [new tag] ciflow/trunk/133667 -> ciflow/trunk/133667 2025-01-24T03:28:31.4746301Z * [new tag] ciflow/trunk/133753 -> ciflow/trunk/133753 2025-01-24T03:28:31.4747834Z * [new tag] ciflow/trunk/134219 -> ciflow/trunk/134219 2025-01-24T03:28:31.4749295Z * [new tag] ciflow/trunk/134515 -> ciflow/trunk/134515 2025-01-24T03:28:31.4750798Z * [new tag] ciflow/trunk/134667 -> ciflow/trunk/134667 2025-01-24T03:28:31.4751608Z * [new tag] ciflow/trunk/134969 -> ciflow/trunk/134969 2025-01-24T03:28:31.4753151Z * [new tag] ciflow/trunk/135058 -> ciflow/trunk/135058 2025-01-24T03:28:31.4754337Z * [new tag] ciflow/trunk/135189 -> ciflow/trunk/135189 2025-01-24T03:28:31.4755525Z * [new tag] ciflow/trunk/135337 -> ciflow/trunk/135337 2025-01-24T03:28:31.4756905Z * [new tag] ciflow/trunk/135338 -> ciflow/trunk/135338 2025-01-24T03:28:31.4758095Z * [new tag] ciflow/trunk/135465 -> ciflow/trunk/135465 2025-01-24T03:28:31.4759466Z * [new tag] ciflow/trunk/135631 -> ciflow/trunk/135631 2025-01-24T03:28:31.4760636Z * [new tag] ciflow/trunk/135719 -> ciflow/trunk/135719 2025-01-24T03:28:31.4761983Z * [new tag] ciflow/trunk/136241 -> ciflow/trunk/136241 2025-01-24T03:28:31.4763402Z * [new tag] ciflow/trunk/136824 -> ciflow/trunk/136824 2025-01-24T03:28:31.4764739Z * [new tag] ciflow/trunk/136835 -> ciflow/trunk/136835 2025-01-24T03:28:31.4766222Z * [new tag] ciflow/trunk/136993 -> ciflow/trunk/136993 2025-01-24T03:28:31.4767075Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-01-24T03:28:31.4768605Z * [new tag] ciflow/trunk/137570 -> ciflow/trunk/137570 2025-01-24T03:28:31.4769808Z * [new tag] ciflow/trunk/137580 -> ciflow/trunk/137580 2025-01-24T03:28:31.4771003Z * [new tag] ciflow/trunk/137726 -> ciflow/trunk/137726 2025-01-24T03:28:31.4772191Z * [new tag] ciflow/trunk/137822 -> ciflow/trunk/137822 2025-01-24T03:28:31.4773492Z * [new tag] ciflow/trunk/137921 -> ciflow/trunk/137921 2025-01-24T03:28:31.4774438Z * [new tag] ciflow/trunk/138175 -> ciflow/trunk/138175 2025-01-24T03:28:31.4775842Z * [new tag] ciflow/trunk/138213 -> ciflow/trunk/138213 2025-01-24T03:28:31.4777250Z * [new tag] ciflow/trunk/138618 -> ciflow/trunk/138618 2025-01-24T03:28:31.4778523Z * [new tag] ciflow/trunk/138626 -> ciflow/trunk/138626 2025-01-24T03:28:31.4779788Z * [new tag] ciflow/trunk/138628 -> ciflow/trunk/138628 2025-01-24T03:28:31.4781098Z * [new tag] ciflow/trunk/138672 -> ciflow/trunk/138672 2025-01-24T03:28:31.4782410Z * [new tag] ciflow/trunk/138684 -> ciflow/trunk/138684 2025-01-24T03:28:31.4783661Z * [new tag] ciflow/trunk/138749 -> ciflow/trunk/138749 2025-01-24T03:28:31.4784817Z * [new tag] ciflow/trunk/138871 -> ciflow/trunk/138871 2025-01-24T03:28:31.4786028Z * [new tag] ciflow/trunk/138889 -> ciflow/trunk/138889 2025-01-24T03:28:31.4787206Z * [new tag] ciflow/trunk/138923 -> ciflow/trunk/138923 2025-01-24T03:28:31.4788490Z * [new tag] ciflow/trunk/138938 -> ciflow/trunk/138938 2025-01-24T03:28:31.4789830Z * [new tag] ciflow/trunk/138964 -> ciflow/trunk/138964 2025-01-24T03:28:31.4790657Z * [new tag] ciflow/trunk/138996 -> ciflow/trunk/138996 2025-01-24T03:28:31.4792057Z * [new tag] ciflow/trunk/138998 -> ciflow/trunk/138998 2025-01-24T03:28:31.4793390Z * [new tag] ciflow/trunk/139094 -> ciflow/trunk/139094 2025-01-24T03:28:31.4794572Z * [new tag] ciflow/trunk/139135 -> ciflow/trunk/139135 2025-01-24T03:28:31.4795766Z * [new tag] ciflow/trunk/139171 -> ciflow/trunk/139171 2025-01-24T03:28:31.4797111Z * [new tag] ciflow/trunk/139217 -> ciflow/trunk/139217 2025-01-24T03:28:31.4798450Z * [new tag] ciflow/trunk/139219 -> ciflow/trunk/139219 2025-01-24T03:28:31.4799378Z * [new tag] ciflow/trunk/139225 -> ciflow/trunk/139225 2025-01-24T03:28:31.4800765Z * [new tag] ciflow/trunk/139308 -> ciflow/trunk/139308 2025-01-24T03:28:31.4801993Z * [new tag] ciflow/trunk/139338 -> ciflow/trunk/139338 2025-01-24T03:28:31.4803299Z * [new tag] ciflow/trunk/139380 -> ciflow/trunk/139380 2025-01-24T03:28:31.4804500Z * [new tag] ciflow/trunk/139426 -> ciflow/trunk/139426 2025-01-24T03:28:31.4805713Z * [new tag] ciflow/trunk/139535 -> ciflow/trunk/139535 2025-01-24T03:28:31.4806921Z * [new tag] ciflow/trunk/139576 -> ciflow/trunk/139576 2025-01-24T03:28:31.4808589Z * [new tag] ciflow/trunk/139750 -> ciflow/trunk/139750 2025-01-24T03:28:31.4809953Z * [new tag] ciflow/trunk/139796 -> ciflow/trunk/139796 2025-01-24T03:28:31.4811171Z * [new tag] ciflow/trunk/139820 -> ciflow/trunk/139820 2025-01-24T03:28:31.4812373Z * [new tag] ciflow/trunk/139864 -> ciflow/trunk/139864 2025-01-24T03:28:31.4821209Z * [new tag] ciflow/trunk/139919 -> ciflow/trunk/139919 2025-01-24T03:28:31.4821707Z * [new tag] ciflow/trunk/139932 -> ciflow/trunk/139932 2025-01-24T03:28:31.4821883Z * [new tag] ciflow/trunk/139966 -> ciflow/trunk/139966 2025-01-24T03:28:31.4822064Z * [new tag] ciflow/trunk/139971 -> ciflow/trunk/139971 2025-01-24T03:28:31.4822234Z * [new tag] ciflow/trunk/139975 -> ciflow/trunk/139975 2025-01-24T03:28:31.4822409Z * [new tag] ciflow/trunk/139976 -> ciflow/trunk/139976 2025-01-24T03:28:31.4822575Z * [new tag] ciflow/trunk/139985 -> ciflow/trunk/139985 2025-01-24T03:28:31.4822949Z * [new tag] ciflow/trunk/140061 -> ciflow/trunk/140061 2025-01-24T03:28:31.4823708Z * [new tag] ciflow/trunk/140084 -> ciflow/trunk/140084 2025-01-24T03:28:31.4825110Z * [new tag] ciflow/trunk/140159 -> ciflow/trunk/140159 2025-01-24T03:28:31.4826408Z * [new tag] ciflow/trunk/140200 -> ciflow/trunk/140200 2025-01-24T03:28:31.4827603Z * [new tag] ciflow/trunk/140211 -> ciflow/trunk/140211 2025-01-24T03:28:31.4828965Z * [new tag] ciflow/trunk/140256 -> ciflow/trunk/140256 2025-01-24T03:28:31.4830144Z * [new tag] ciflow/trunk/140298 -> ciflow/trunk/140298 2025-01-24T03:28:31.4831348Z * [new tag] ciflow/trunk/140323 -> ciflow/trunk/140323 2025-01-24T03:28:31.4832591Z * [new tag] ciflow/trunk/140362 -> ciflow/trunk/140362 2025-01-24T03:28:31.4833850Z * [new tag] ciflow/trunk/140365 -> ciflow/trunk/140365 2025-01-24T03:28:31.4835171Z * [new tag] ciflow/trunk/140399 -> ciflow/trunk/140399 2025-01-24T03:28:31.4836384Z * [new tag] ciflow/trunk/140677 -> ciflow/trunk/140677 2025-01-24T03:28:31.4837888Z * [new tag] ciflow/trunk/140734 -> ciflow/trunk/140734 2025-01-24T03:28:31.4839233Z * [new tag] ciflow/trunk/140793 -> ciflow/trunk/140793 2025-01-24T03:28:31.4840659Z * [new tag] ciflow/trunk/140836 -> ciflow/trunk/140836 2025-01-24T03:28:31.4842258Z * [new tag] ciflow/trunk/140868 -> ciflow/trunk/140868 2025-01-24T03:28:31.4843462Z * [new tag] ciflow/trunk/140989 -> ciflow/trunk/140989 2025-01-24T03:28:31.4844686Z * [new tag] ciflow/trunk/141002 -> ciflow/trunk/141002 2025-01-24T03:28:31.4846493Z * [new tag] ciflow/trunk/141038 -> ciflow/trunk/141038 2025-01-24T03:28:31.4847639Z * [new tag] ciflow/trunk/141131 -> ciflow/trunk/141131 2025-01-24T03:28:31.4848823Z * [new tag] ciflow/trunk/141168 -> ciflow/trunk/141168 2025-01-24T03:28:31.4850368Z * [new tag] ciflow/trunk/141195 -> ciflow/trunk/141195 2025-01-24T03:28:31.4851696Z * [new tag] ciflow/trunk/141226 -> ciflow/trunk/141226 2025-01-24T03:28:31.4853094Z * [new tag] ciflow/trunk/141257 -> ciflow/trunk/141257 2025-01-24T03:28:31.4854308Z * [new tag] ciflow/trunk/141309 -> ciflow/trunk/141309 2025-01-24T03:28:31.4855710Z * [new tag] ciflow/trunk/141468 -> ciflow/trunk/141468 2025-01-24T03:28:31.4856863Z * [new tag] ciflow/trunk/141489 -> ciflow/trunk/141489 2025-01-24T03:28:31.4858089Z * [new tag] ciflow/trunk/141503 -> ciflow/trunk/141503 2025-01-24T03:28:31.4859587Z * [new tag] ciflow/trunk/141508 -> ciflow/trunk/141508 2025-01-24T03:28:31.4860927Z * [new tag] ciflow/trunk/141530 -> ciflow/trunk/141530 2025-01-24T03:28:31.4862178Z * [new tag] ciflow/trunk/141588 -> ciflow/trunk/141588 2025-01-24T03:28:31.4863365Z * [new tag] ciflow/trunk/141697 -> ciflow/trunk/141697 2025-01-24T03:28:31.4864581Z * [new tag] ciflow/trunk/141730 -> ciflow/trunk/141730 2025-01-24T03:28:31.4866136Z * [new tag] ciflow/trunk/141791 -> ciflow/trunk/141791 2025-01-24T03:28:31.4867439Z * [new tag] ciflow/trunk/141796 -> ciflow/trunk/141796 2025-01-24T03:28:31.4868654Z * [new tag] ciflow/trunk/141842 -> ciflow/trunk/141842 2025-01-24T03:28:31.4869863Z * [new tag] ciflow/trunk/141889 -> ciflow/trunk/141889 2025-01-24T03:28:31.4870959Z * [new tag] ciflow/trunk/141910 -> ciflow/trunk/141910 2025-01-24T03:28:31.4872578Z * [new tag] ciflow/trunk/141914 -> ciflow/trunk/141914 2025-01-24T03:28:31.4873975Z * [new tag] ciflow/trunk/141959 -> ciflow/trunk/141959 2025-01-24T03:28:31.4875164Z * [new tag] ciflow/trunk/141961 -> ciflow/trunk/141961 2025-01-24T03:28:31.4876495Z * [new tag] ciflow/trunk/142067 -> ciflow/trunk/142067 2025-01-24T03:28:31.4877742Z * [new tag] ciflow/trunk/142091 -> ciflow/trunk/142091 2025-01-24T03:28:31.4878917Z * [new tag] ciflow/trunk/142092 -> ciflow/trunk/142092 2025-01-24T03:28:31.4880278Z * [new tag] ciflow/trunk/142097 -> ciflow/trunk/142097 2025-01-24T03:28:31.4881456Z * [new tag] ciflow/trunk/142179 -> ciflow/trunk/142179 2025-01-24T03:28:31.4882793Z * [new tag] ciflow/trunk/142263 -> ciflow/trunk/142263 2025-01-24T03:28:31.4884005Z * [new tag] ciflow/trunk/142272 -> ciflow/trunk/142272 2025-01-24T03:28:31.4885187Z * [new tag] ciflow/trunk/142273 -> ciflow/trunk/142273 2025-01-24T03:28:31.4886396Z * [new tag] ciflow/trunk/142346 -> ciflow/trunk/142346 2025-01-24T03:28:31.4887644Z * [new tag] ciflow/trunk/142350 -> ciflow/trunk/142350 2025-01-24T03:28:31.4888828Z * [new tag] ciflow/trunk/142372 -> ciflow/trunk/142372 2025-01-24T03:28:31.4890072Z * [new tag] ciflow/trunk/142477 -> ciflow/trunk/142477 2025-01-24T03:28:31.4891555Z * [new tag] ciflow/trunk/142821 -> ciflow/trunk/142821 2025-01-24T03:28:31.4892921Z * [new tag] ciflow/trunk/142848 -> ciflow/trunk/142848 2025-01-24T03:28:31.4894135Z * [new tag] ciflow/trunk/142859 -> ciflow/trunk/142859 2025-01-24T03:28:31.4895509Z * [new tag] ciflow/trunk/142861 -> ciflow/trunk/142861 2025-01-24T03:28:31.4896721Z * [new tag] ciflow/trunk/142865 -> ciflow/trunk/142865 2025-01-24T03:28:31.4897885Z * [new tag] ciflow/trunk/143082 -> ciflow/trunk/143082 2025-01-24T03:28:31.4899351Z * [new tag] ciflow/trunk/143093 -> ciflow/trunk/143093 2025-01-24T03:28:31.4900575Z * [new tag] ciflow/trunk/143168 -> ciflow/trunk/143168 2025-01-24T03:28:31.4901758Z * [new tag] ciflow/trunk/143220 -> ciflow/trunk/143220 2025-01-24T03:28:31.4903527Z * [new tag] ciflow/trunk/143261 -> ciflow/trunk/143261 2025-01-24T03:28:31.4904739Z * [new tag] ciflow/trunk/143303 -> ciflow/trunk/143303 2025-01-24T03:28:31.4905993Z * [new tag] ciflow/trunk/143313 -> ciflow/trunk/143313 2025-01-24T03:28:31.4907377Z * [new tag] ciflow/trunk/143347 -> ciflow/trunk/143347 2025-01-24T03:28:31.4908873Z * [new tag] ciflow/trunk/143360 -> ciflow/trunk/143360 2025-01-24T03:28:31.4910118Z * [new tag] ciflow/trunk/143378 -> ciflow/trunk/143378 2025-01-24T03:28:31.4911529Z * [new tag] ciflow/trunk/143402 -> ciflow/trunk/143402 2025-01-24T03:28:31.4912788Z * [new tag] ciflow/trunk/143416 -> ciflow/trunk/143416 2025-01-24T03:28:31.4914060Z * [new tag] ciflow/trunk/143417 -> ciflow/trunk/143417 2025-01-24T03:28:31.4915416Z * [new tag] ciflow/trunk/143451 -> ciflow/trunk/143451 2025-01-24T03:28:31.4916661Z * [new tag] ciflow/trunk/143475 -> ciflow/trunk/143475 2025-01-24T03:28:31.4917804Z * [new tag] ciflow/trunk/143622 -> ciflow/trunk/143622 2025-01-24T03:28:31.4919041Z * [new tag] ciflow/trunk/143630 -> ciflow/trunk/143630 2025-01-24T03:28:31.4920077Z * [new tag] ciflow/trunk/143671 -> ciflow/trunk/143671 2025-01-24T03:28:31.4921461Z * [new tag] ciflow/trunk/143712 -> ciflow/trunk/143712 2025-01-24T03:28:31.4922750Z * [new tag] ciflow/trunk/143733 -> ciflow/trunk/143733 2025-01-24T03:28:31.4923955Z * [new tag] ciflow/trunk/143806 -> ciflow/trunk/143806 2025-01-24T03:28:31.4925353Z * [new tag] ciflow/trunk/143822 -> ciflow/trunk/143822 2025-01-24T03:28:31.4926708Z * [new tag] ciflow/trunk/143833 -> ciflow/trunk/143833 2025-01-24T03:28:31.4927831Z * [new tag] ciflow/trunk/143879 -> ciflow/trunk/143879 2025-01-24T03:28:31.4929024Z * [new tag] ciflow/trunk/143880 -> ciflow/trunk/143880 2025-01-24T03:28:31.4930437Z * [new tag] ciflow/trunk/143894 -> ciflow/trunk/143894 2025-01-24T03:28:31.4931684Z * [new tag] ciflow/trunk/143896 -> ciflow/trunk/143896 2025-01-24T03:28:31.4932936Z * [new tag] ciflow/trunk/143961 -> ciflow/trunk/143961 2025-01-24T03:28:31.4934113Z * [new tag] ciflow/trunk/143966 -> ciflow/trunk/143966 2025-01-24T03:28:31.4935301Z * [new tag] ciflow/trunk/144011 -> ciflow/trunk/144011 2025-01-24T03:28:31.4936894Z * [new tag] ciflow/trunk/144017 -> ciflow/trunk/144017 2025-01-24T03:28:31.4938252Z * [new tag] ciflow/trunk/144019 -> ciflow/trunk/144019 2025-01-24T03:28:31.4939406Z * [new tag] ciflow/trunk/144020 -> ciflow/trunk/144020 2025-01-24T03:28:31.4940618Z * [new tag] ciflow/trunk/144046 -> ciflow/trunk/144046 2025-01-24T03:28:31.4941846Z * [new tag] ciflow/trunk/144115 -> ciflow/trunk/144115 2025-01-24T03:28:31.4943014Z * [new tag] ciflow/trunk/144120 -> ciflow/trunk/144120 2025-01-24T03:28:31.4944476Z * [new tag] ciflow/trunk/144138 -> ciflow/trunk/144138 2025-01-24T03:28:31.4945339Z * [new tag] ciflow/trunk/144172 -> ciflow/trunk/144172 2025-01-24T03:28:31.4946874Z * [new tag] ciflow/trunk/144177 -> ciflow/trunk/144177 2025-01-24T03:28:31.4948247Z * [new tag] ciflow/trunk/144268 -> ciflow/trunk/144268 2025-01-24T03:28:31.4949477Z * [new tag] ciflow/trunk/144341 -> ciflow/trunk/144341 2025-01-24T03:28:31.4950806Z * [new tag] ciflow/trunk/144354 -> ciflow/trunk/144354 2025-01-24T03:28:31.4952079Z * [new tag] ciflow/trunk/144368 -> ciflow/trunk/144368 2025-01-24T03:28:31.4953555Z * [new tag] ciflow/trunk/144378 -> ciflow/trunk/144378 2025-01-24T03:28:31.4954729Z * [new tag] ciflow/trunk/144441 -> ciflow/trunk/144441 2025-01-24T03:28:31.4955942Z * [new tag] ciflow/trunk/144452 -> ciflow/trunk/144452 2025-01-24T03:28:31.4957244Z * [new tag] ciflow/trunk/144468 -> ciflow/trunk/144468 2025-01-24T03:28:31.4958449Z * [new tag] ciflow/trunk/144485 -> ciflow/trunk/144485 2025-01-24T03:28:31.4959609Z * [new tag] ciflow/trunk/144492 -> ciflow/trunk/144492 2025-01-24T03:28:31.4960819Z * [new tag] ciflow/trunk/144498 -> ciflow/trunk/144498 2025-01-24T03:28:31.4962267Z * [new tag] ciflow/trunk/144508 -> ciflow/trunk/144508 2025-01-24T03:28:31.4963461Z * [new tag] ciflow/trunk/144513 -> ciflow/trunk/144513 2025-01-24T03:28:31.4964875Z * [new tag] ciflow/trunk/144590 -> ciflow/trunk/144590 2025-01-24T03:28:31.4966276Z * [new tag] ciflow/trunk/144616 -> ciflow/trunk/144616 2025-01-24T03:28:31.4967531Z * [new tag] ciflow/trunk/144642 -> ciflow/trunk/144642 2025-01-24T03:28:31.4968823Z * [new tag] ciflow/trunk/144644 -> ciflow/trunk/144644 2025-01-24T03:28:31.4970007Z * [new tag] ciflow/trunk/144646 -> ciflow/trunk/144646 2025-01-24T03:28:31.4971185Z * [new tag] ciflow/trunk/144664 -> ciflow/trunk/144664 2025-01-24T03:28:31.4972384Z * [new tag] ciflow/trunk/144695 -> ciflow/trunk/144695 2025-01-24T03:28:31.4973668Z * [new tag] ciflow/trunk/144700 -> ciflow/trunk/144700 2025-01-24T03:28:31.4974897Z * [new tag] ciflow/trunk/144707 -> ciflow/trunk/144707 2025-01-24T03:28:31.4976288Z * [new tag] ciflow/trunk/144708 -> ciflow/trunk/144708 2025-01-24T03:28:31.4977502Z * [new tag] ciflow/trunk/144721 -> ciflow/trunk/144721 2025-01-24T03:28:31.4978680Z * [new tag] ciflow/trunk/144733 -> ciflow/trunk/144733 2025-01-24T03:28:31.4979998Z * [new tag] ciflow/trunk/144763 -> ciflow/trunk/144763 2025-01-24T03:28:31.4981181Z * [new tag] ciflow/trunk/144771 -> ciflow/trunk/144771 2025-01-24T03:28:31.4982369Z * [new tag] ciflow/trunk/144773 -> ciflow/trunk/144773 2025-01-24T03:28:31.4983520Z * [new tag] ciflow/trunk/144829 -> ciflow/trunk/144829 2025-01-24T03:28:31.4985210Z * [new tag] ciflow/trunk/144865 -> ciflow/trunk/144865 2025-01-24T03:28:31.4986410Z * [new tag] ciflow/trunk/144880 -> ciflow/trunk/144880 2025-01-24T03:28:31.4987661Z * [new tag] ciflow/trunk/144894 -> ciflow/trunk/144894 2025-01-24T03:28:31.4988872Z * [new tag] ciflow/trunk/144940 -> ciflow/trunk/144940 2025-01-24T03:28:31.4990060Z * [new tag] ciflow/trunk/144953 -> ciflow/trunk/144953 2025-01-24T03:28:31.4991471Z * [new tag] ciflow/trunk/144956 -> ciflow/trunk/144956 2025-01-24T03:28:31.4992611Z * [new tag] ciflow/trunk/144975 -> ciflow/trunk/144975 2025-01-24T03:28:31.4993866Z * [new tag] ciflow/trunk/144985 -> ciflow/trunk/144985 2025-01-24T03:28:31.4995275Z * [new tag] ciflow/trunk/144994 -> ciflow/trunk/144994 2025-01-24T03:28:31.4996487Z * [new tag] ciflow/trunk/144999 -> ciflow/trunk/144999 2025-01-24T03:28:31.4997849Z * [new tag] ciflow/trunk/145031 -> ciflow/trunk/145031 2025-01-24T03:28:31.4999145Z * [new tag] ciflow/trunk/145047 -> ciflow/trunk/145047 2025-01-24T03:28:31.5000504Z * [new tag] ciflow/trunk/145060 -> ciflow/trunk/145060 2025-01-24T03:28:31.5001750Z * [new tag] ciflow/trunk/145061 -> ciflow/trunk/145061 2025-01-24T03:28:31.5003021Z * [new tag] ciflow/trunk/145083 -> ciflow/trunk/145083 2025-01-24T03:28:31.5004247Z * [new tag] ciflow/trunk/145116 -> ciflow/trunk/145116 2025-01-24T03:28:31.5005461Z * [new tag] ciflow/trunk/145119 -> ciflow/trunk/145119 2025-01-24T03:28:31.5006697Z * [new tag] ciflow/trunk/145120 -> ciflow/trunk/145120 2025-01-24T03:28:31.5008191Z * [new tag] ciflow/trunk/145128 -> ciflow/trunk/145128 2025-01-24T03:28:31.5011260Z * [new tag] ciflow/trunk/145130 -> ciflow/trunk/145130 2025-01-24T03:28:31.5012468Z * [new tag] ciflow/trunk/145132 -> ciflow/trunk/145132 2025-01-24T03:28:31.5013858Z * [new tag] ciflow/trunk/145136 -> ciflow/trunk/145136 2025-01-24T03:28:31.5015076Z * [new tag] ciflow/trunk/145148 -> ciflow/trunk/145148 2025-01-24T03:28:31.5016378Z * [new tag] ciflow/trunk/145153 -> ciflow/trunk/145153 2025-01-24T03:28:31.5017442Z * [new tag] ciflow/trunk/145156 -> ciflow/trunk/145156 2025-01-24T03:28:31.5018815Z * [new tag] ciflow/trunk/145204 -> ciflow/trunk/145204 2025-01-24T03:28:31.5020032Z * [new tag] ciflow/trunk/145206 -> ciflow/trunk/145206 2025-01-24T03:28:31.5021261Z * [new tag] ciflow/trunk/145224 -> ciflow/trunk/145224 2025-01-24T03:28:31.5022459Z * [new tag] ciflow/trunk/145227 -> ciflow/trunk/145227 2025-01-24T03:28:31.5023701Z * [new tag] ciflow/trunk/145241 -> ciflow/trunk/145241 2025-01-24T03:28:31.5024929Z * [new tag] ciflow/trunk/145245 -> ciflow/trunk/145245 2025-01-24T03:28:31.5026138Z * [new tag] ciflow/trunk/145250 -> ciflow/trunk/145250 2025-01-24T03:28:31.5027349Z * [new tag] ciflow/trunk/145254 -> ciflow/trunk/145254 2025-01-24T03:28:31.5028692Z * [new tag] ciflow/trunk/145269 -> ciflow/trunk/145269 2025-01-24T03:28:31.5029909Z * [new tag] ciflow/trunk/145288 -> ciflow/trunk/145288 2025-01-24T03:28:31.5031108Z * [new tag] ciflow/trunk/145303 -> ciflow/trunk/145303 2025-01-24T03:28:31.5032403Z * [new tag] ciflow/trunk/145307 -> ciflow/trunk/145307 2025-01-24T03:28:31.5033702Z * [new tag] ciflow/trunk/145311 -> ciflow/trunk/145311 2025-01-24T03:28:31.5034887Z * [new tag] ciflow/trunk/145318 -> ciflow/trunk/145318 2025-01-24T03:28:31.5036064Z * [new tag] ciflow/trunk/145321 -> ciflow/trunk/145321 2025-01-24T03:28:31.5037345Z * [new tag] ciflow/trunk/145323 -> ciflow/trunk/145323 2025-01-24T03:28:31.5038623Z * [new tag] ciflow/trunk/145331 -> ciflow/trunk/145331 2025-01-24T03:28:31.5039850Z * [new tag] ciflow/trunk/145373 -> ciflow/trunk/145373 2025-01-24T03:28:31.5041223Z * [new tag] ciflow/trunk/145375 -> ciflow/trunk/145375 2025-01-24T03:28:31.5042591Z * [new tag] ciflow/trunk/145391 -> ciflow/trunk/145391 2025-01-24T03:28:31.5043983Z * [new tag] ciflow/trunk/145399 -> ciflow/trunk/145399 2025-01-24T03:28:31.5045220Z * [new tag] ciflow/trunk/145407 -> ciflow/trunk/145407 2025-01-24T03:28:31.5046460Z * [new tag] ciflow/trunk/145412 -> ciflow/trunk/145412 2025-01-24T03:28:31.5047678Z * [new tag] ciflow/trunk/145417 -> ciflow/trunk/145417 2025-01-24T03:28:31.5048888Z * [new tag] ciflow/trunk/145421 -> ciflow/trunk/145421 2025-01-24T03:28:31.5050108Z * [new tag] ciflow/trunk/145435 -> ciflow/trunk/145435 2025-01-24T03:28:31.5051565Z * [new tag] ciflow/trunk/145436 -> ciflow/trunk/145436 2025-01-24T03:28:31.5052766Z * [new tag] ciflow/trunk/145443 -> ciflow/trunk/145443 2025-01-24T03:28:31.5054143Z * [new tag] ciflow/trunk/145448 -> ciflow/trunk/145448 2025-01-24T03:28:31.5055706Z * [new tag] ciflow/trunk/145449 -> ciflow/trunk/145449 2025-01-24T03:28:31.5057202Z * [new tag] ciflow/trunk/145450 -> ciflow/trunk/145450 2025-01-24T03:28:31.5058424Z * [new tag] ciflow/trunk/145462 -> ciflow/trunk/145462 2025-01-24T03:28:31.5059822Z * [new tag] ciflow/trunk/145465 -> ciflow/trunk/145465 2025-01-24T03:28:31.5061023Z * [new tag] ciflow/trunk/145490 -> ciflow/trunk/145490 2025-01-24T03:28:31.5062264Z * [new tag] ciflow/trunk/145494 -> ciflow/trunk/145494 2025-01-24T03:28:31.5063685Z * [new tag] ciflow/trunk/145495 -> ciflow/trunk/145495 2025-01-24T03:28:31.5065061Z * [new tag] ciflow/trunk/145502 -> ciflow/trunk/145502 2025-01-24T03:28:31.5066588Z * [new tag] ciflow/trunk/145506 -> ciflow/trunk/145506 2025-01-24T03:28:31.5067880Z * [new tag] ciflow/trunk/145509 -> ciflow/trunk/145509 2025-01-24T03:28:31.5069600Z * [new tag] ciflow/trunk/145519 -> ciflow/trunk/145519 2025-01-24T03:28:31.5070856Z * [new tag] ciflow/trunk/145530 -> ciflow/trunk/145530 2025-01-24T03:28:31.5072106Z * [new tag] ciflow/trunk/145531 -> ciflow/trunk/145531 2025-01-24T03:28:31.5073467Z * [new tag] ciflow/trunk/145533 -> ciflow/trunk/145533 2025-01-24T03:28:31.5074724Z * [new tag] ciflow/trunk/145539 -> ciflow/trunk/145539 2025-01-24T03:28:31.5075984Z * [new tag] ciflow/trunk/145542 -> ciflow/trunk/145542 2025-01-24T03:28:31.5077251Z * [new tag] ciflow/trunk/145547 -> ciflow/trunk/145547 2025-01-24T03:28:31.5078492Z * [new tag] ciflow/trunk/145549 -> ciflow/trunk/145549 2025-01-24T03:28:31.5079741Z * [new tag] ciflow/trunk/145550 -> ciflow/trunk/145550 2025-01-24T03:28:31.5081068Z * [new tag] ciflow/trunk/145551 -> ciflow/trunk/145551 2025-01-24T03:28:31.5082344Z * [new tag] ciflow/trunk/145552 -> ciflow/trunk/145552 2025-01-24T03:28:31.5083591Z * [new tag] ciflow/trunk/145553 -> ciflow/trunk/145553 2025-01-24T03:28:31.5084865Z * [new tag] ciflow/trunk/145554 -> ciflow/trunk/145554 2025-01-24T03:28:31.5086107Z * [new tag] ciflow/trunk/145558 -> ciflow/trunk/145558 2025-01-24T03:28:31.5087343Z * [new tag] ciflow/trunk/145559 -> ciflow/trunk/145559 2025-01-24T03:28:31.5088633Z * [new tag] ciflow/trunk/145576 -> ciflow/trunk/145576 2025-01-24T03:28:31.5090200Z * [new tag] ciflow/trunk/70978 -> ciflow/trunk/70978 2025-01-24T03:28:31.5091457Z * [new tag] ciflow/trunk/70979 -> ciflow/trunk/70979 2025-01-24T03:28:31.5093094Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-01-24T03:28:31.5094635Z * [new tag] ciflow/xpu/132945 -> ciflow/xpu/132945 2025-01-24T03:28:31.5095772Z * [new tag] ciflow/xpu/133307 -> ciflow/xpu/133307 2025-01-24T03:28:31.5096964Z * [new tag] ciflow/xpu/135189 -> ciflow/xpu/135189 2025-01-24T03:28:31.5098089Z * [new tag] ciflow/xpu/135337 -> ciflow/xpu/135337 2025-01-24T03:28:31.5099213Z * [new tag] ciflow/xpu/135465 -> ciflow/xpu/135465 2025-01-24T03:28:31.5100346Z * [new tag] ciflow/xpu/137566 -> ciflow/xpu/137566 2025-01-24T03:28:31.5101446Z * [new tag] ciflow/xpu/137570 -> ciflow/xpu/137570 2025-01-24T03:28:31.5102588Z * [new tag] ciflow/xpu/137580 -> ciflow/xpu/137580 2025-01-24T03:28:31.5103676Z * [new tag] ciflow/xpu/138889 -> ciflow/xpu/138889 2025-01-24T03:28:31.5105303Z * [new tag] ciflow/xpu/139171 -> ciflow/xpu/139171 2025-01-24T03:28:31.5106455Z * [new tag] ciflow/xpu/139469 -> ciflow/xpu/139469 2025-01-24T03:28:31.5108084Z * [new tag] ciflow/xpu/139971 -> ciflow/xpu/139971 2025-01-24T03:28:31.5109817Z * [new tag] ciflow/xpu/140362 -> ciflow/xpu/140362 2025-01-24T03:28:31.5111256Z * [new tag] ciflow/xpu/140365 -> ciflow/xpu/140365 2025-01-24T03:28:31.5112531Z * [new tag] ciflow/xpu/140372 -> ciflow/xpu/140372 2025-01-24T03:28:31.5114069Z * [new tag] ciflow/xpu/140389 -> ciflow/xpu/140389 2025-01-24T03:28:31.5115100Z * [new tag] ciflow/xpu/140677 -> ciflow/xpu/140677 2025-01-24T03:28:31.5116449Z * [new tag] ciflow/xpu/140686 -> ciflow/xpu/140686 2025-01-24T03:28:31.5117979Z * [new tag] ciflow/xpu/140972 -> ciflow/xpu/140972 2025-01-24T03:28:31.5119355Z * [new tag] ciflow/xpu/141318 -> ciflow/xpu/141318 2025-01-24T03:28:31.5120537Z * [new tag] ciflow/xpu/142040 -> ciflow/xpu/142040 2025-01-24T03:28:31.5121720Z * [new tag] ciflow/xpu/142067 -> ciflow/xpu/142067 2025-01-24T03:28:31.5122933Z * [new tag] ciflow/xpu/142097 -> ciflow/xpu/142097 2025-01-24T03:28:31.5124109Z * [new tag] ciflow/xpu/143597 -> ciflow/xpu/143597 2025-01-24T03:28:31.5125458Z * [new tag] ciflow/xpu/143784 -> ciflow/xpu/143784 2025-01-24T03:28:31.5126646Z * [new tag] ciflow/xpu/143833 -> ciflow/xpu/143833 2025-01-24T03:28:31.5127839Z * [new tag] ciflow/xpu/144046 -> ciflow/xpu/144046 2025-01-24T03:28:31.5129050Z * [new tag] ciflow/xpu/144368 -> ciflow/xpu/144368 2025-01-24T03:28:31.5130237Z * [new tag] ciflow/xpu/144378 -> ciflow/xpu/144378 2025-01-24T03:28:31.5131562Z * [new tag] ciflow/xpu/144385 -> ciflow/xpu/144385 2025-01-24T03:28:31.5132756Z * [new tag] ciflow/xpu/144452 -> ciflow/xpu/144452 2025-01-24T03:28:31.5134078Z * [new tag] ciflow/xpu/144473 -> ciflow/xpu/144473 2025-01-24T03:28:31.5135247Z * [new tag] ciflow/xpu/144644 -> ciflow/xpu/144644 2025-01-24T03:28:31.5136481Z * [new tag] ciflow/xpu/144664 -> ciflow/xpu/144664 2025-01-24T03:28:31.5137890Z * [new tag] ciflow/xpu/144722 -> ciflow/xpu/144722 2025-01-24T03:28:31.5139164Z * [new tag] ciflow/xpu/145060 -> ciflow/xpu/145060 2025-01-24T03:28:31.5140495Z * [new tag] ciflow/xpu/145083 -> ciflow/xpu/145083 2025-01-24T03:28:31.5141401Z * [new tag] ciflow/xpu/145248 -> ciflow/xpu/145248 2025-01-24T03:28:31.5142758Z * [new tag] ciflow/xpu/145490 -> ciflow/xpu/145490 2025-01-24T03:28:31.5144015Z * [new tag] cslpull75 -> cslpull75 2025-01-24T03:28:31.5145183Z * [new tag] cslpull76 -> cslpull76 2025-01-24T03:28:31.5146358Z * [new tag] cslpull77 -> cslpull77 2025-01-24T03:28:31.5147549Z * [new tag] cslpull78 -> cslpull78 2025-01-24T03:28:31.5149085Z * [new tag] cslpull79 -> cslpull79 2025-01-24T03:28:31.5150582Z * [new tag] cslpull80 -> cslpull80 2025-01-24T03:28:31.5151918Z * [new tag] cslpull81 -> cslpull81 2025-01-24T03:28:31.5153294Z * [new tag] cslpull82 -> cslpull82 2025-01-24T03:28:31.5154559Z * [new tag] cslpull83 -> cslpull83 2025-01-24T03:28:31.5155843Z * [new tag] cslpull84 -> cslpull84 2025-01-24T03:28:31.5157321Z * [new tag] cslpull85 -> cslpull85 2025-01-24T03:28:31.5158709Z * [new tag] cslpull86 -> cslpull86 2025-01-24T03:28:31.5160019Z * [new tag] cslpull87 -> cslpull87 2025-01-24T03:28:31.5161477Z * [new tag] cslpull88 -> cslpull88 2025-01-24T03:28:31.5162638Z * [new tag] cslpull89 -> cslpull89 2025-01-24T03:28:31.5163733Z * [new tag] cslpull90 -> cslpull90 2025-01-24T03:28:31.5165327Z * [new tag] cslpull91 -> cslpull91 2025-01-24T03:28:31.5166623Z * [new tag] cslpull92 -> cslpull92 2025-01-24T03:28:31.5167918Z * [new tag] flight_5 -> flight_5 2025-01-24T03:28:31.5169282Z * [new tag] flight_5.1 -> flight_5.1 2025-01-24T03:28:31.5170616Z * [new tag] flight_5.2 -> flight_5.2 2025-01-24T03:28:31.5171827Z * [new tag] flight_5.3 -> flight_5.3 2025-01-24T03:28:31.5173154Z * [new tag] forpull1 -> forpull1 2025-01-24T03:28:31.5174631Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-01-24T03:28:31.5175867Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-01-24T03:28:31.5177109Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-01-24T03:28:31.5178584Z * [new tag] nightly-binary -> nightly-binary 2025-01-24T03:28:31.5179720Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-01-24T03:28:31.5181056Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-01-24T03:28:31.5182331Z * [new tag] v0.1.1 -> v0.1.1 2025-01-24T03:28:31.5183662Z * [new tag] v0.1.10 -> v0.1.10 2025-01-24T03:28:31.5184939Z * [new tag] v0.1.11 -> v0.1.11 2025-01-24T03:28:31.5186259Z * [new tag] v0.1.12 -> v0.1.12 2025-01-24T03:28:31.5187699Z * [new tag] v0.1.2 -> v0.1.2 2025-01-24T03:28:31.5189028Z * [new tag] v0.1.3 -> v0.1.3 2025-01-24T03:28:31.5190220Z * [new tag] v0.1.4 -> v0.1.4 2025-01-24T03:28:31.5191476Z * [new tag] v0.1.5 -> v0.1.5 2025-01-24T03:28:31.5192911Z * [new tag] v0.1.6 -> v0.1.6 2025-01-24T03:28:31.5194115Z * [new tag] v0.1.7 -> v0.1.7 2025-01-24T03:28:31.5195316Z * [new tag] v0.1.8 -> v0.1.8 2025-01-24T03:28:31.5196541Z * [new tag] v0.1.9 -> v0.1.9 2025-01-24T03:28:31.5197826Z * [new tag] v0.2.0 -> v0.2.0 2025-01-24T03:28:31.5199131Z * [new tag] v0.3.0 -> v0.3.0 2025-01-24T03:28:31.5200494Z * [new tag] v0.3.1 -> v0.3.1 2025-01-24T03:28:31.5201798Z * [new tag] v0.4.0 -> v0.4.0 2025-01-24T03:28:31.5203072Z * [new tag] v0.4.1 -> v0.4.1 2025-01-24T03:28:31.5204341Z * [new tag] v1.0.0 -> v1.0.0 2025-01-24T03:28:31.5205661Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-01-24T03:28:31.5206972Z * [new tag] v1.0.1 -> v1.0.1 2025-01-24T03:28:31.5208603Z * [new tag] v1.0rc0 -> v1.0rc0 2025-01-24T03:28:31.5209773Z * [new tag] v1.0rc1 -> v1.0rc1 2025-01-24T03:28:31.5211117Z * [new tag] v1.1.0 -> v1.1.0 2025-01-24T03:28:31.5212429Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-01-24T03:28:31.5213903Z * [new tag] v1.10.0 -> v1.10.0 2025-01-24T03:28:31.5215322Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-01-24T03:28:31.5216642Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-01-24T03:28:31.5217738Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-01-24T03:28:31.5219246Z * [new tag] v1.10.1 -> v1.10.1 2025-01-24T03:28:31.5220536Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-01-24T03:28:31.5222145Z * [new tag] v1.10.2 -> v1.10.2 2025-01-24T03:28:31.5223242Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-01-24T03:28:31.5224593Z * [new tag] v1.11.0 -> v1.11.0 2025-01-24T03:28:31.5226020Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-01-24T03:28:31.5227421Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-01-24T03:28:31.5228815Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-01-24T03:28:31.5230203Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-01-24T03:28:31.5231582Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-01-24T03:28:31.5232791Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-01-24T03:28:31.5233936Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-01-24T03:28:31.5235335Z * [new tag] v1.12.0 -> v1.12.0 2025-01-24T03:28:31.5236642Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-01-24T03:28:31.5237964Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-01-24T03:28:31.5239325Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-01-24T03:28:31.5240668Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-01-24T03:28:31.5241953Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-01-24T03:28:31.5243333Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-01-24T03:28:31.5244433Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-01-24T03:28:31.5245539Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-01-24T03:28:31.5246656Z * [new tag] v1.12.1 -> v1.12.1 2025-01-24T03:28:31.5248400Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-01-24T03:28:31.5249724Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-01-24T03:28:31.5251174Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-01-24T03:28:31.5252498Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-01-24T03:28:31.5253621Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-01-24T03:28:31.5254983Z * [new tag] v1.13.0 -> v1.13.0 2025-01-24T03:28:31.5256271Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-01-24T03:28:31.5257578Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-01-24T03:28:31.5259131Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-01-24T03:28:31.5260755Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-01-24T03:28:31.5261881Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-01-24T03:28:31.5263089Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-01-24T03:28:31.5264554Z * [new tag] v1.13.1 -> v1.13.1 2025-01-24T03:28:31.5265663Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-01-24T03:28:31.5266980Z * [new tag] v1.2.0 -> v1.2.0 2025-01-24T03:28:31.5268290Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-01-24T03:28:31.5269610Z * [new tag] v1.3.0 -> v1.3.0 2025-01-24T03:28:31.5270883Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-01-24T03:28:31.5271993Z * [new tag] v1.3.1 -> v1.3.1 2025-01-24T03:28:31.5273396Z * [new tag] v1.4.0 -> v1.4.0 2025-01-24T03:28:31.5274706Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-01-24T03:28:31.5275808Z * [new tag] v1.4.1 -> v1.4.1 2025-01-24T03:28:31.5277221Z * [new tag] v1.5.0 -> v1.5.0 2025-01-24T03:28:31.5278618Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-01-24T03:28:31.5279963Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-01-24T03:28:31.5281364Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-01-24T03:28:31.5282633Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-01-24T03:28:31.5283748Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-01-24T03:28:31.5285173Z * [new tag] v1.5.1 -> v1.5.1 2025-01-24T03:28:31.5286278Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-01-24T03:28:31.5287383Z * [new tag] v1.6.0 -> v1.6.0 2025-01-24T03:28:31.5288764Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-01-24T03:28:31.5290152Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-01-24T03:28:31.5291609Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-01-24T03:28:31.5292919Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-01-24T03:28:31.5294245Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-01-24T03:28:31.5295532Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-01-24T03:28:31.5296628Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-01-24T03:28:31.5297988Z * [new tag] v1.7.0 -> v1.7.0 2025-01-24T03:28:31.5299359Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-01-24T03:28:31.5300748Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-01-24T03:28:31.5302227Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-01-24T03:28:31.5303030Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-01-24T03:28:31.5304657Z * [new tag] v1.7.1 -> v1.7.1 2025-01-24T03:28:31.5306576Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-01-24T03:28:31.5308398Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-01-24T03:28:31.5309658Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-01-24T03:28:31.5311001Z * [new tag] v1.8.0 -> v1.8.0 2025-01-24T03:28:31.5312128Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-01-24T03:28:31.5313645Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-01-24T03:28:31.5314998Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-01-24T03:28:31.5316271Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-01-24T03:28:31.5317383Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-01-24T03:28:31.5318463Z * [new tag] v1.8.1 -> v1.8.1 2025-01-24T03:28:31.5319850Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-01-24T03:28:31.5320968Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-01-24T03:28:31.5322086Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-01-24T03:28:31.5323893Z * [new tag] v1.8.2 -> v1.8.2 2025-01-24T03:28:31.5325027Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-01-24T03:28:31.5326385Z * [new tag] v1.9.0 -> v1.9.0 2025-01-24T03:28:31.5327782Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-01-24T03:28:31.5329198Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-01-24T03:28:31.5330600Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-01-24T03:28:31.5331898Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-01-24T03:28:31.5333229Z * [new tag] v1.9.1 -> v1.9.1 2025-01-24T03:28:31.5334820Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-01-24T03:28:31.5335918Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-01-24T03:28:31.5337312Z * [new tag] v2.0.0 -> v2.0.0 2025-01-24T03:28:31.5338614Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-01-24T03:28:31.5340025Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-01-24T03:28:31.5341377Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-01-24T03:28:31.5342685Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-01-24T03:28:31.5344089Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-01-24T03:28:31.5345185Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-01-24T03:28:31.5346624Z * [new tag] v2.0.1 -> v2.0.1 2025-01-24T03:28:31.5348109Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-01-24T03:28:31.5349465Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-01-24T03:28:31.5350327Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-01-24T03:28:31.5351597Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-01-24T03:28:31.5353484Z * [new tag] v2.1.0 -> v2.1.0 2025-01-24T03:28:31.5354795Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-01-24T03:28:31.5356168Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-01-24T03:28:31.5357570Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-01-24T03:28:31.5359084Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-01-24T03:28:31.5360323Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-01-24T03:28:31.5361581Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-01-24T03:28:31.5362953Z * [new tag] v2.1.1 -> v2.1.1 2025-01-24T03:28:31.5364372Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-01-24T03:28:31.5365703Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-01-24T03:28:31.5367073Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-01-24T03:28:31.5368435Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-01-24T03:28:31.5369729Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-01-24T03:28:31.5370856Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-01-24T03:28:31.5372118Z * [new tag] v2.1.2 -> v2.1.2 2025-01-24T03:28:31.5373447Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-01-24T03:28:31.5374792Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-01-24T03:28:31.5375932Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-01-24T03:28:31.5377303Z * [new tag] v2.2.0 -> v2.2.0 2025-01-24T03:28:31.5378610Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-01-24T03:28:31.5379894Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-01-24T03:28:31.5381184Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-01-24T03:28:31.5382469Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-01-24T03:28:31.5383795Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-01-24T03:28:31.5385139Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-01-24T03:28:31.5386227Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-01-24T03:28:31.5387366Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-01-24T03:28:31.5388745Z * [new tag] v2.2.1 -> v2.2.1 2025-01-24T03:28:31.5390249Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-01-24T03:28:31.5391793Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-01-24T03:28:31.5393025Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-01-24T03:28:31.5394110Z * [new tag] v2.2.2 -> v2.2.2 2025-01-24T03:28:31.5395516Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-01-24T03:28:31.5396620Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-01-24T03:28:31.5397746Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-01-24T03:28:31.5399043Z * [new tag] v2.3.0 -> v2.3.0 2025-01-24T03:28:31.5400466Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-01-24T03:28:31.5401758Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-01-24T03:28:31.5403268Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-01-24T03:28:31.5404413Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-01-24T03:28:31.5405802Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-01-24T03:28:31.5407117Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-01-24T03:28:31.5408596Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-01-24T03:28:31.5410136Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-01-24T03:28:31.5411306Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-01-24T03:28:31.5412736Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-01-24T03:28:31.5413923Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-01-24T03:28:31.5415019Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-01-24T03:28:31.5416158Z * [new tag] v2.3.1 -> v2.3.1 2025-01-24T03:28:31.5417498Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-01-24T03:28:31.5418859Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-01-24T03:28:31.5420258Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-01-24T03:28:31.5421783Z * [new tag] v2.4.0 -> v2.4.0 2025-01-24T03:28:31.5423088Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-01-24T03:28:31.5424402Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-01-24T03:28:31.5425739Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-01-24T03:28:31.5427113Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-01-24T03:28:31.5428448Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-01-24T03:28:31.5429811Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-01-24T03:28:31.5431192Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-01-24T03:28:31.5432738Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-01-24T03:28:31.5434187Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-01-24T03:28:31.5435315Z * [new tag] v2.4.1 -> v2.4.1 2025-01-24T03:28:31.5436742Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-01-24T03:28:31.5438167Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-01-24T03:28:31.5439524Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-01-24T03:28:31.5440865Z * [new tag] v2.5.0 -> v2.5.0 2025-01-24T03:28:31.5442182Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-01-24T03:28:31.5443383Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-01-24T03:28:31.5444713Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-01-24T03:28:31.5446010Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-01-24T03:28:31.5447409Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-01-24T03:28:31.5448841Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-01-24T03:28:31.5450301Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-01-24T03:28:31.5451645Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-01-24T03:28:31.5453181Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-01-24T03:28:31.5454635Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-01-24T03:28:31.5455729Z * [new tag] v2.5.1 -> v2.5.1 2025-01-24T03:28:31.5456836Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-01-24T03:28:31.5458223Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-01-24T03:28:31.5459681Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-01-24T03:28:31.5461005Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-01-24T03:28:31.5462368Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-01-24T03:28:31.5464339Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-01-24T03:28:31.5465900Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-01-24T03:28:31.5467000Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-01-24T03:28:31.5468435Z * [new tag] whc_flight_1 -> whc_flight_1 2025-01-24T03:28:31.5469272Z * [new tag] whc_flight_2 -> whc_flight_2 2025-01-24T03:28:31.5470709Z * [new tag] whc_flight_4 -> whc_flight_4 2025-01-24T03:28:31.6491705Z [command]/usr/bin/git rev-parse --verify --quiet d087145b9259b4cfbcb758dc0bca6a6e5d75d08f^{object} 2025-01-24T03:28:31.6521507Z d087145b9259b4cfbcb758dc0bca6a6e5d75d08f 2025-01-24T03:28:31.6526461Z ##[endgroup] 2025-01-24T03:28:31.6526746Z ##[group]Determining the checkout info 2025-01-24T03:28:31.6528084Z ##[endgroup] 2025-01-24T03:28:31.6532128Z [command]/usr/bin/git sparse-checkout disable 2025-01-24T03:28:31.6571176Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-01-24T03:28:31.6606092Z ##[group]Checking out the ref 2025-01-24T03:28:31.6610633Z [command]/usr/bin/git checkout --progress --force d087145b9259b4cfbcb758dc0bca6a6e5d75d08f 2025-01-24T03:28:32.6965849Z Updating files: 74% (13457/18011) 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You can look around, make experimental 2025-01-24T03:28:33.2329680Z changes and commit them, and you can discard any commits you make in this 2025-01-24T03:28:33.2330204Z state without impacting any branches by switching back to a branch. 2025-01-24T03:28:33.2330507Z 2025-01-24T03:28:33.2330718Z If you want to create a new branch to retain commits you create, you may 2025-01-24T03:28:33.2331199Z do so (now or later) by using -c with the switch command. Example: 2025-01-24T03:28:33.2331477Z 2025-01-24T03:28:33.2331595Z git switch -c 2025-01-24T03:28:33.2331797Z 2025-01-24T03:28:33.2331912Z Or undo this operation with: 2025-01-24T03:28:33.2332101Z 2025-01-24T03:28:33.2332199Z git switch - 2025-01-24T03:28:33.2332337Z 2025-01-24T03:28:33.2332589Z Turn off this advice by setting config variable advice.detachedHead to false 2025-01-24T03:28:33.2332924Z 2025-01-24T03:28:33.2333156Z HEAD is now at d087145b925 Add accuracy issue support in AOTI Minifier (#145539) 2025-01-24T03:28:33.2491615Z ##[endgroup] 2025-01-24T03:28:33.2492133Z ##[group]Setting up auth for fetching submodules 2025-01-24T03:28:33.2497505Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-01-24T03:28:33.2548759Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-01-24T03:28:33.2582211Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-01-24T03:28:33.2616607Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-01-24T03:28:33.2646111Z ##[endgroup] 2025-01-24T03:28:33.2646626Z ##[group]Fetching submodules 2025-01-24T03:28:33.2649669Z [command]/usr/bin/git submodule sync --recursive 2025-01-24T03:28:33.3029477Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-01-24T03:28:33.3394267Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-01-24T03:28:33.3396759Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-01-24T03:28:33.3400815Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-01-24T03:28:33.3404826Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-01-24T03:28:33.3678560Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-01-24T03:28:33.3683362Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-01-24T03:28:33.3687192Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-01-24T03:28:33.3691660Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-01-24T03:28:33.3696291Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-01-24T03:28:33.3700780Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-01-24T03:28:33.3713031Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-01-24T03:28:33.3718054Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-01-24T03:28:33.3722736Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-01-24T03:28:33.3727460Z Submodule 'third_party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'third_party/eigen' 2025-01-24T03:28:33.3732425Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-01-24T03:28:33.3738703Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-01-24T03:28:33.3743664Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-01-24T03:28:33.3756595Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-01-24T03:28:33.3761629Z Submodule 'third_party/gloo' (https://github.com/facebookincubator/gloo) registered for path 'third_party/gloo' 2025-01-24T03:28:33.3766991Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-01-24T03:28:33.3775760Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-01-24T03:28:33.3781454Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-01-24T03:28:33.3787098Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-01-24T03:28:33.3798378Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-01-24T03:28:33.3803958Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-01-24T03:28:33.3810169Z Submodule 'third_party/nccl/nccl' (https://github.com/NVIDIA/nccl) registered for path 'third_party/nccl/nccl' 2025-01-24T03:28:33.3816182Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-01-24T03:28:33.3822065Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-01-24T03:28:33.3828219Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-01-24T03:28:33.3834167Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-01-24T03:28:33.3846715Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-01-24T03:28:33.3852772Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-01-24T03:28:33.3859049Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-01-24T03:28:33.3865169Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-01-24T03:28:33.3871535Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-01-24T03:28:33.3878112Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-01-24T03:28:33.3891192Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-01-24T03:28:33.3929637Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-01-24T03:28:33.6335382Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-01-24T03:28:33.7965694Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-01-24T03:28:33.9666252Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-01-24T03:28:34.1807522Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-01-24T03:28:34.4917173Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-01-24T03:28:36.6959528Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-01-24T03:28:47.6514261Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 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'/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-01-24T03:29:10.7412282Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nccl/nccl'... 2025-01-24T03:29:11.1749549Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-01-24T03:29:17.8974518Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-01-24T03:29:20.5440519Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-01-24T03:29:26.1065681Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-01-24T03:29:26.3483562Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-01-24T03:29:36.4673723Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-01-24T03:29:36.6259230Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-01-24T03:29:36.8286942Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-01-24T03:29:37.9795689Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-01-24T03:29:38.2478478Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-01-24T03:29:38.8654968Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-01-24T03:29:39.2690823Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-01-24T03:29:39.2844629Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-01-24T03:29:39.2963605Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-01-24T03:29:39.3278332Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-01-24T03:29:39.3729183Z Submodule path 'third_party/NVTX': checked out 'e170594ac7cf1dac584da473d4ca9301087090c1' 2025-01-24T03:29:39.4183629Z Submodule path 'third_party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191' 2025-01-24T03:29:40.3256919Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-01-24T03:29:40.3539581Z Submodule path 'third_party/benchmark': checked out '0d98dba29d66e93259db7daa53a9327df767a415' 2025-01-24T03:29:40.6538392Z Submodule path 'third_party/composable_kernel': checked out '50ee4267e27b875d149e642f4cebd47be1dc3b57' 2025-01-24T03:29:40.7097121Z Submodule path 'third_party/cpp-httplib': checked out '3b6597bba913d51161383657829b7e644e59c006' 2025-01-24T03:29:40.8229358Z Submodule path 'third_party/cpuinfo': checked out '1e83a2fdd3102f65c6f1fb602c1b320486218a99' 2025-01-24T03:29:40.8640751Z Submodule path 'third_party/cudnn_frontend': checked out 'ee971b18ee428ff55b444ac93876cfbd377d304f' 2025-01-24T03:29:41.5524794Z Submodule path 'third_party/cutlass': checked out 'bf9da7b76c766d7ee7d536afc77880a4ef1f1156' 2025-01-24T03:29:41.8396005Z Submodule path 'third_party/eigen': checked out '3147391d946bb4b6c68edd901f2add6ac1f31f8c' 2025-01-24T03:29:41.9500491Z Submodule path 'third_party/fbgemm': checked out 'dbc3157bf256f1339b3fa1fef2be89ac4078be0e' 2025-01-24T03:29:41.9524753Z Submodule 'third_party/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/third_party/asmjit' 2025-01-24T03:29:41.9528184Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/third_party/cpuinfo' 2025-01-24T03:29:41.9531719Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/fbgemm/third_party/cutlass' 2025-01-24T03:29:41.9535289Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/third_party/googletest' 2025-01-24T03:29:41.9539043Z Submodule 'third_party/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/third_party/hipify_torch' 2025-01-24T03:29:41.9570807Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/asmjit'... 2025-01-24T03:29:42.8724439Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/cpuinfo'... 2025-01-24T03:29:43.4575892Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/cutlass'... 2025-01-24T03:29:46.2619138Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/googletest'... 2025-01-24T03:29:47.2922443Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/hipify_torch'... 2025-01-24T03:29:47.6584482Z Submodule path 'third_party/fbgemm/third_party/asmjit': checked out 'd3fbf7c9bc7c1d1365a94a45614b91c5a3706b81' 2025-01-24T03:29:47.7698875Z Submodule path 'third_party/fbgemm/third_party/cpuinfo': checked out 'ed8b86a253800bafdb7b25c5c399f91bff9cb1f3' 2025-01-24T03:29:48.2799801Z Submodule path 'third_party/fbgemm/third_party/cutlass': checked out 'fc9ebc645b63f3a6bc80aaefde5c063fb72110d6' 2025-01-24T03:29:48.3510394Z Submodule path 'third_party/fbgemm/third_party/googletest': checked out 'cbf019de22c8dd37b2108da35b2748fd702d1796' 2025-01-24T03:29:48.3665012Z Submodule path 'third_party/fbgemm/third_party/hipify_torch': checked out '23f53b025b466d8ec3c45d52290d3442f7fbe6b1' 2025-01-24T03:29:48.5347454Z Submodule path 'third_party/flatbuffers': checked out '01834de25e4bf3975a9a00e816292b1ad0fe184b' 2025-01-24T03:29:48.5735469Z Submodule path 'third_party/fmt': checked out 'e3ddede6c4ee818825c4e5a6dfa1d384860c27d9' 2025-01-24T03:29:48.6193718Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-01-24T03:29:48.6532265Z Submodule path 'third_party/gloo': checked out '5354032ea08eadd7fc4456477f7f7c6308818509' 2025-01-24T03:29:48.7047114Z Submodule path 'third_party/googletest': checked out 'b514bdc898e2951020cbdca1304b75f5950d1f59' 2025-01-24T03:29:48.7210636Z Submodule path 'third_party/ideep': checked out 'e026f3b0318087fe19e2b062e8edf55bfe7a522c' 2025-01-24T03:29:48.7230380Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-01-24T03:29:48.7264571Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-01-24T03:30:00.7667329Z Submodule path 'third_party/ideep/mkl-dnn': checked out '66f0cb9eb66affd2da3bf5f8d897376f04aae6af' 2025-01-24T03:30:00.7894126Z Submodule path 'third_party/ittapi': checked out '5b8a7d7422611c3a0d799fb5fc5dd4abfae35b42' 2025-01-24T03:30:00.8882553Z Submodule path 'third_party/kineto': checked out 'bc1616a65cfe552516ce62f81ead48e45c85e18c' 2025-01-24T03:30:00.8907287Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-01-24T03:30:00.8910704Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-01-24T03:30:00.8914301Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-01-24T03:30:00.8946251Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-01-24T03:30:01.7277653Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-01-24T03:30:03.0043513Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-01-24T03:30:04.1433825Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-01-24T03:30:04.1453221Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-01-24T03:30:04.1456591Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-01-24T03:30:04.1460168Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-01-24T03:30:04.1463810Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-01-24T03:30:04.1467496Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-01-24T03:30:04.1471402Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-01-24T03:30:04.1475381Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-01-24T03:30:04.1479396Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-01-24T03:30:04.1512463Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-01-24T03:30:05.6233402Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-01-24T03:30:05.9962388Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-01-24T03:30:07.2019593Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-01-24T03:30:07.4850992Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-01-24T03:30:07.9866417Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-01-24T03:30:09.0471773Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-01-24T03:30:17.3427362Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-01-24T03:30:17.8047814Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-01-24T03:30:17.8288202Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-01-24T03:30:17.8721341Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-01-24T03:30:17.8890141Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-01-24T03:30:17.8910442Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-01-24T03:30:17.8943590Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-01-24T03:30:18.3023625Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-01-24T03:30:18.3250441Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-01-24T03:30:18.3734111Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-01-24T03:30:18.4932390Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-01-24T03:30:18.5131072Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-01-24T03:30:18.5608417Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-01-24T03:30:18.6300197Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-01-24T03:30:18.6608543Z Submodule path 'third_party/kleidiai': checked out '202603f38a9df9d2ded89f12b41ded621c71d4ea' 2025-01-24T03:30:18.7064456Z Submodule path 'third_party/mimalloc': checked out 'b66e3214d8a104669c2ec05ae91ebc26a8f5ab78' 2025-01-24T03:30:18.7427276Z Submodule path 'third_party/nccl/nccl': checked out 'ab2b89c4c339bd7f816fbc114a4b05d386b66290' 2025-01-24T03:30:18.8768575Z Submodule path 'third_party/nlohmann': checked out '87cda1d6646592ac5866dc703c8e1839046a6806' 2025-01-24T03:30:19.4058220Z Submodule path 'third_party/onnx': checked out 'b8baa8446686496da4cc8fda09f2b6fe65c2a02c' 2025-01-24T03:30:19.4097525Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-01-24T03:30:19.4130255Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-01-24T03:30:20.5841476Z Submodule path 'third_party/onnx/third_party/pybind11': checked out '3e9dfa2866941655c56877882565e7577de6fc7b' 2025-01-24T03:30:20.6748313Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-01-24T03:30:20.6772176Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-01-24T03:30:20.6775405Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-01-24T03:30:20.6778846Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-01-24T03:30:20.6782400Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-01-24T03:30:20.6786155Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-01-24T03:30:20.6790021Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-01-24T03:30:20.6793619Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-01-24T03:30:20.6797195Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-01-24T03:30:20.6829117Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-01-24T03:30:21.0945288Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-01-24T03:30:22.0744573Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-01-24T03:30:22.4188465Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-01-24T03:30:29.1240278Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-01-24T03:30:29.3916379Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-01-24T03:30:29.5893939Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-01-24T03:30:29.8924541Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-01-24T03:30:37.1398034Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-01-24T03:30:37.1876665Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-01-24T03:30:37.2067028Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-01-24T03:30:37.3298012Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-01-24T03:30:37.3461820Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-01-24T03:30:37.3649666Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-01-24T03:30:37.3856886Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-01-24T03:30:37.3876159Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-01-24T03:30:37.3879769Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-01-24T03:30:37.3911349Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-01-24T03:30:39.2216733Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-01-24T03:30:40.5781720Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-01-24T03:30:40.6315527Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-01-24T03:30:41.2944793Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-01-24T03:30:41.3093872Z Submodule path 'third_party/pocketfft': checked out '9d3ab05a7fffbc71a492bc6a17be034e83e8f0fe' 2025-01-24T03:30:41.6407404Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-01-24T03:30:41.6433852Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-01-24T03:30:41.6437011Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-01-24T03:30:41.6468926Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-01-24T03:30:42.1362339Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-01-24T03:30:43.1756930Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-01-24T03:30:43.2572898Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-01-24T03:30:43.2693229Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-01-24T03:30:43.2845180Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-01-24T03:30:43.3281368Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-01-24T03:30:43.3626823Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-01-24T03:30:43.4136579Z Submodule path 'third_party/sleef': checked out '56e1f79cb140fb9326d612d0be06b5250565cade' 2025-01-24T03:30:43.4482497Z Submodule path 'third_party/tensorpipe': checked out '52791a2fd214b2a9dc5759d36725909c1daa7f2e' 2025-01-24T03:30:43.4505531Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2025-01-24T03:30:43.4508535Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' 2025-01-24T03:30:43.4512264Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' 2025-01-24T03:30:43.4515701Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' 2025-01-24T03:30:43.4547749Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 2025-01-24T03:30:44.5538581Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'... 2025-01-24T03:30:44.7695853Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2025-01-24T03:30:46.5781226Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2025-01-24T03:30:47.7012846Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-01-24T03:30:47.7213137Z Submodule path 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'third_party/fbgemm/third_party/cpuinfo' 2025-01-24T03:30:49.8752032Z Entering 'third_party/fbgemm/third_party/cutlass' 2025-01-24T03:30:49.8815316Z Entering 'third_party/fbgemm/third_party/googletest' 2025-01-24T03:30:49.8868774Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2025-01-24T03:30:49.8920755Z Entering 'third_party/flatbuffers' 2025-01-24T03:30:49.8975163Z Entering 'third_party/fmt' 2025-01-24T03:30:49.9037266Z Entering 'third_party/gemmlowp/gemmlowp' 2025-01-24T03:30:49.9091286Z Entering 'third_party/gloo' 2025-01-24T03:30:49.9146392Z Entering 'third_party/googletest' 2025-01-24T03:30:49.9203513Z Entering 'third_party/ideep' 2025-01-24T03:30:49.9260063Z Entering 'third_party/ideep/mkl-dnn' 2025-01-24T03:30:49.9319901Z Entering 'third_party/ittapi' 2025-01-24T03:30:49.9374230Z Entering 'third_party/kineto' 2025-01-24T03:30:49.9425503Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-01-24T03:30:49.9476276Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-01-24T03:30:49.9528292Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-01-24T03:30:49.9585871Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-01-24T03:30:49.9638872Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-01-24T03:30:49.9689694Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-01-24T03:30:49.9745387Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-01-24T03:30:49.9798230Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-01-24T03:30:49.9856426Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-01-24T03:30:49.9908686Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-01-24T03:30:49.9964257Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-01-24T03:30:50.0016136Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-01-24T03:30:50.0075211Z Entering 'third_party/kleidiai' 2025-01-24T03:30:50.0128696Z Entering 'third_party/mimalloc' 2025-01-24T03:30:50.0184678Z Entering 'third_party/nccl/nccl' 2025-01-24T03:30:50.0238656Z Entering 'third_party/nlohmann' 2025-01-24T03:30:50.0294659Z Entering 'third_party/onnx' 2025-01-24T03:30:50.0361368Z Entering 'third_party/onnx/third_party/pybind11' 2025-01-24T03:30:50.0419439Z Entering 'third_party/opentelemetry-cpp' 2025-01-24T03:30:50.0472027Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-01-24T03:30:50.0523411Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-01-24T03:30:50.0573079Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-01-24T03:30:50.0623476Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-01-24T03:30:50.0680070Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-01-24T03:30:50.0731259Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-01-24T03:30:50.0784204Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-01-24T03:30:50.0834117Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-01-24T03:30:50.0890353Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-01-24T03:30:50.0947575Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-01-24T03:30:50.1021862Z Entering 'third_party/pocketfft' 2025-01-24T03:30:50.1073776Z Entering 'third_party/protobuf' 2025-01-24T03:30:50.1128650Z Entering 'third_party/protobuf/third_party/benchmark' 2025-01-24T03:30:50.1180392Z Entering 'third_party/protobuf/third_party/googletest' 2025-01-24T03:30:50.1234766Z Entering 'third_party/psimd' 2025-01-24T03:30:50.1289186Z Entering 'third_party/pthreadpool' 2025-01-24T03:30:50.1343625Z Entering 'third_party/pybind11' 2025-01-24T03:30:50.1397903Z Entering 'third_party/python-peachpy' 2025-01-24T03:30:50.1449620Z Entering 'third_party/sleef' 2025-01-24T03:30:50.1502926Z Entering 'third_party/tensorpipe' 2025-01-24T03:30:50.1558811Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-01-24T03:30:50.1614113Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-01-24T03:30:50.1664079Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-01-24T03:30:50.1715212Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-01-24T03:30:50.1765227Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-01-24T03:30:50.1842908Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-01-24T03:30:50.2215094Z Entering 'android/libs/fbjni' 2025-01-24T03:30:50.2268172Z Entering 'third_party/FP16' 2025-01-24T03:30:50.2320919Z Entering 'third_party/FXdiv' 2025-01-24T03:30:50.2374951Z Entering 'third_party/NNPACK' 2025-01-24T03:30:50.2431262Z Entering 'third_party/NVTX' 2025-01-24T03:30:50.2485926Z Entering 'third_party/VulkanMemoryAllocator' 2025-01-24T03:30:50.2541544Z Entering 'third_party/XNNPACK' 2025-01-24T03:30:50.2610815Z Entering 'third_party/benchmark' 2025-01-24T03:30:50.2663164Z Entering 'third_party/composable_kernel' 2025-01-24T03:30:50.2722856Z Entering 'third_party/cpp-httplib' 2025-01-24T03:30:50.2778446Z Entering 'third_party/cpuinfo' 2025-01-24T03:30:50.2833966Z Entering 'third_party/cudnn_frontend' 2025-01-24T03:30:50.2888153Z Entering 'third_party/cutlass' 2025-01-24T03:30:50.2952504Z Entering 'third_party/eigen' 2025-01-24T03:30:50.3017642Z Entering 'third_party/fbgemm' 2025-01-24T03:30:50.3073120Z Entering 'third_party/fbgemm/third_party/asmjit' 2025-01-24T03:30:50.3128451Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2025-01-24T03:30:50.3181967Z Entering 'third_party/fbgemm/third_party/cutlass' 2025-01-24T03:30:50.3240238Z Entering 'third_party/fbgemm/third_party/googletest' 2025-01-24T03:30:50.3291201Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2025-01-24T03:30:50.3346570Z Entering 'third_party/flatbuffers' 2025-01-24T03:30:50.3401924Z Entering 'third_party/fmt' 2025-01-24T03:30:50.3460863Z Entering 'third_party/gemmlowp/gemmlowp' 2025-01-24T03:30:50.3522361Z Entering 'third_party/gloo' 2025-01-24T03:30:50.3575408Z Entering 'third_party/googletest' 2025-01-24T03:30:50.3633028Z Entering 'third_party/ideep' 2025-01-24T03:30:50.3689089Z Entering 'third_party/ideep/mkl-dnn' 2025-01-24T03:30:50.3750944Z Entering 'third_party/ittapi' 2025-01-24T03:30:50.3804645Z Entering 'third_party/kineto' 2025-01-24T03:30:50.3856029Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-01-24T03:30:50.3906741Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-01-24T03:30:50.3959899Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-01-24T03:30:50.4012502Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-01-24T03:30:50.4064127Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-01-24T03:30:50.4114983Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-01-24T03:30:50.4180647Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-01-24T03:30:50.4233671Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-01-24T03:30:50.4286344Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-01-24T03:30:50.4340307Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-01-24T03:30:50.4392877Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-01-24T03:30:50.4446351Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-01-24T03:30:50.4500109Z Entering 'third_party/kleidiai' 2025-01-24T03:30:50.4558501Z Entering 'third_party/mimalloc' 2025-01-24T03:30:50.4613306Z Entering 'third_party/nccl/nccl' 2025-01-24T03:30:50.4670706Z Entering 'third_party/nlohmann' 2025-01-24T03:30:50.4725513Z Entering 'third_party/onnx' 2025-01-24T03:30:50.4796271Z Entering 'third_party/onnx/third_party/pybind11' 2025-01-24T03:30:50.4854034Z Entering 'third_party/opentelemetry-cpp' 2025-01-24T03:30:50.4915660Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-01-24T03:30:50.4966452Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-01-24T03:30:50.5020982Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-01-24T03:30:50.5078423Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-01-24T03:30:50.5132839Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-01-24T03:30:50.5186650Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-01-24T03:30:50.5243651Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-01-24T03:30:50.5294592Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-01-24T03:30:50.5350392Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-01-24T03:30:50.5405507Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-01-24T03:30:50.5478812Z Entering 'third_party/pocketfft' 2025-01-24T03:30:50.5539739Z Entering 'third_party/protobuf' 2025-01-24T03:30:50.5596043Z Entering 'third_party/protobuf/third_party/benchmark' 2025-01-24T03:30:50.5652615Z Entering 'third_party/protobuf/third_party/googletest' 2025-01-24T03:30:50.5707460Z Entering 'third_party/psimd' 2025-01-24T03:30:50.5760937Z Entering 'third_party/pthreadpool' 2025-01-24T03:30:50.5814671Z Entering 'third_party/pybind11' 2025-01-24T03:30:50.5867591Z Entering 'third_party/python-peachpy' 2025-01-24T03:30:50.5920516Z Entering 'third_party/sleef' 2025-01-24T03:30:50.5972730Z Entering 'third_party/tensorpipe' 2025-01-24T03:30:50.6024551Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-01-24T03:30:50.6074792Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-01-24T03:30:50.6127808Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-01-24T03:30:50.6179341Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-01-24T03:30:50.6229031Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-01-24T03:30:50.6301271Z ##[endgroup] 2025-01-24T03:30:50.6342592Z [command]/usr/bin/git log -1 --format=%H 2025-01-24T03:30:50.6371397Z d087145b9259b4cfbcb758dc0bca6a6e5d75d08f 2025-01-24T03:30:50.6582969Z Prepare all required actions 2025-01-24T03:30:50.6583534Z Getting action download info 2025-01-24T03:30:50.8168468Z ##[group]Run ./.github/actions/setup-linux 2025-01-24T03:30:50.8168800Z env: 2025-01-24T03:30:50.8169021Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:30:50.8169311Z ##[endgroup] 2025-01-24T03:30:50.8215429Z ##[group]Run set -euo pipefail 2025-01-24T03:30:50.8215790Z set -euo pipefail 2025-01-24T03:30:50.8216083Z function get_ec2_metadata() { 2025-01-24T03:30:50.8216463Z  # Pulled from instance metadata endpoint for EC2 2025-01-24T03:30:50.8229587Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-01-24T03:30:50.8230146Z  category=$1 2025-01-24T03:30:50.8230519Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-01-24T03:30:50.8230948Z  runner_name_str=i-06104fb7bf5509793 2025-01-24T03:30:50.8231340Z  if [[ -f /.inarc ]]; then 2025-01-24T03:30:50.8231702Z  echo "ARC Runner, no info on ec2 metadata" 2025-01-24T03:30:50.8232095Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-01-24T03:30:50.8232616Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-01-24T03:30:50.8233241Z  else 2025-01-24T03:30:50.8234057Z  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}" 2025-01-24T03:30:50.8234908Z  fi 2025-01-24T03:30:50.8235144Z } 2025-01-24T03:30:50.8235420Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-01-24T03:30:50.8235854Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-01-24T03:30:50.8236328Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-01-24T03:30:50.8236747Z echo "system info $(uname -a)" 2025-01-24T03:30:50.8247622Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:30:50.8247996Z env: 2025-01-24T03:30:50.8248215Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:30:50.8248511Z ##[endgroup] 2025-01-24T03:30:50.8412427Z ami-id: ami-0df8c184d5f6ae949 2025-01-24T03:30:50.8527694Z instance-id: i-06104fb7bf5509793 2025-01-24T03:30:50.8641269Z instance-type: g5.4xlarge 2025-01-24T03:30:50.8654305Z system info Linux ip-10-0-21-202.ec2.internal 6.1.119-129.201.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Dec 3 21:07:35 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2025-01-24T03:30:50.8686537Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-01-24T03:30:50.8687406Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-01-24T03:30:50.8696814Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:30:50.8697194Z env: 2025-01-24T03:30:50.8697413Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:30:50.8697690Z ##[endgroup] 2025-01-24T03:30:50.8767906Z ##[group]Run if systemctl is-active --quiet docker; then 2025-01-24T03:30:50.8768341Z if systemctl is-active --quiet docker; then 2025-01-24T03:30:50.8768735Z  echo "Docker daemon is running..."; 2025-01-24T03:30:50.8769055Z else 2025-01-24T03:30:50.8769404Z  echo "Starting docker deamon..." && sudo systemctl start docker; 2025-01-24T03:30:50.8769811Z fi 2025-01-24T03:30:50.8778146Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:30:50.8778512Z env: 2025-01-24T03:30:50.8778763Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:30:50.8779033Z ##[endgroup] 2025-01-24T03:30:50.8867064Z Docker daemon is running... 2025-01-24T03:30:50.9199447Z ##[group]Run nick-fields/retry@v3.0.0 2025-01-24T03:30:50.9199755Z with: 2025-01-24T03:30:50.9199967Z shell: bash 2025-01-24T03:30:50.9200393Z timeout_minutes: 5 2025-01-24T03:30:50.9200644Z max_attempts: 3 2025-01-24T03:30:50.9200888Z retry_wait_seconds: 30 2025-01-24T03:30:50.9202925Z command: AWS_ACCOUNT_ID=$(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 2025-01-24T03:30:50.9204986Z polling_interval_seconds: 1 2025-01-24T03:30:50.9205267Z warning_on_retry: true 2025-01-24T03:30:50.9205527Z continue_on_error: false 2025-01-24T03:30:50.9205778Z env: 2025-01-24T03:30:50.9205999Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:30:50.9206263Z AWS_RETRY_MODE: standard 2025-01-24T03:30:50.9206523Z AWS_MAX_ATTEMPTS: 5 2025-01-24T03:30:50.9206784Z AWS_DEFAULT_REGION: us-east-1 2025-01-24T03:30:50.9207049Z ##[endgroup] 2025-01-24T03:30:52.0421991Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-01-24T03:30:52.0422933Z Configure a credential helper to remove this warning. See 2025-01-24T03:30:52.0423503Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-01-24T03:30:52.0423874Z 2025-01-24T03:30:52.0423980Z Login Succeeded 2025-01-24T03:30:53.0042735Z Command completed after 1 attempt(s). 2025-01-24T03:30:53.0120442Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-01-24T03:30:53.0120947Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-01-24T03:30:53.0121389Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-01-24T03:30:53.0130762Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:30:53.0131157Z env: 2025-01-24T03:30:53.0131372Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:30:53.0131632Z ##[endgroup] 2025-01-24T03:30:53.0242136Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-01-24T03:30:53.0242689Z # ignore expansion of "docker ps -q" since it could be empty 2025-01-24T03:30:53.0243096Z # shellcheck disable=SC2046 2025-01-24T03:30:53.0243430Z docker stop $(docker ps -q) || true 2025-01-24T03:30:53.0243774Z # Prune all of the docker images 2025-01-24T03:30:53.0244095Z docker system prune -af 2025-01-24T03:30:53.0252041Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:30:53.0252398Z env: 2025-01-24T03:30:53.0252609Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:30:53.0252863Z ##[endgroup] 2025-01-24T03:30:53.0565757Z "docker stop" requires at least 1 argument. 2025-01-24T03:30:53.0566126Z See 'docker stop --help'. 2025-01-24T03:30:53.0566314Z 2025-01-24T03:30:53.0566495Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-01-24T03:30:53.0566759Z 2025-01-24T03:30:53.0566873Z Stop one or more running containers 2025-01-24T03:30:53.0778675Z Total reclaimed space: 0B 2025-01-24T03:30:53.0832507Z ##[group]Run set +e 2025-01-24T03:30:53.0832837Z set +e 2025-01-24T03:30:53.0833094Z set -x 2025-01-24T03:30:53.0833336Z  2025-01-24T03:30:53.0833596Z PT_DOMAIN=download.pytorch.org 2025-01-24T03:30:53.0834166Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-01-24T03:30:53.0834884Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-01-24T03:30:53.0835388Z # one is returned at random 2025-01-24T03:30:53.0835781Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-01-24T03:30:53.0836157Z  2025-01-24T03:30:53.0836602Z if [ -z "${RESOLVED_IP}" ]; then 2025-01-24T03:30:53.0837043Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-01-24T03:30:53.0837552Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-01-24T03:30:53.0837939Z  2025-01-24T03:30:53.0838197Z  if [ -z "${RESOLVED_IP}" ]; then 2025-01-24T03:30:53.0838588Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-01-24T03:30:53.0838950Z  exit 1 2025-01-24T03:30:53.0839196Z  fi 2025-01-24T03:30:53.0839430Z fi 2025-01-24T03:30:53.0839659Z  2025-01-24T03:30:53.0839938Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-01-24T03:30:53.0840306Z  # Clean up any old records first 2025-01-24T03:30:53.0840679Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-01-24T03:30:53.0841002Z fi 2025-01-24T03:30:53.0841230Z  2025-01-24T03:30:53.0841557Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-01-24T03:30:53.0841944Z cat /etc/hosts 2025-01-24T03:30:53.0850950Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:30:53.0851317Z env: 2025-01-24T03:30:53.0851541Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:30:53.0851808Z ##[endgroup] 2025-01-24T03:30:53.0879241Z + PT_DOMAIN=download.pytorch.org 2025-01-24T03:30:53.0885506Z ++ dig -4 +short download.pytorch.org 2025-01-24T03:30:53.0885839Z ++ tail -n1 2025-01-24T03:30:53.1300486Z + RESOLVED_IP=18.160.18.37 2025-01-24T03:30:53.1300795Z + '[' -z 18.160.18.37 ']' 2025-01-24T03:30:53.1301083Z + grep -r download.pytorch.org /etc/hosts 2025-01-24T03:30:53.1320001Z + echo '18.160.18.37 download.pytorch.org' 2025-01-24T03:30:53.1320607Z + sudo tee -a /etc/hosts 2025-01-24T03:30:53.5263862Z 18.160.18.37 download.pytorch.org 2025-01-24T03:30:53.5285843Z + cat /etc/hosts 2025-01-24T03:30:53.5296631Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-01-24T03:30:53.5302534Z ::1 localhost6 localhost6.localdomain6 2025-01-24T03:30:53.5302889Z 18.160.18.37 download.pytorch.org 2025-01-24T03:30:53.5450774Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-01-24T03:30:53.5451211Z with: 2025-01-24T03:30:53.5451999Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks:bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:30:53.5452877Z docker-build-dir: .ci/docker 2025-01-24T03:30:53.5453166Z working-directory: . 2025-01-24T03:30:53.5453510Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-01-24T03:30:53.5453890Z force-push: false 2025-01-24T03:30:53.5454115Z env: 2025-01-24T03:30:53.5454327Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:30:53.5454587Z ##[endgroup] 2025-01-24T03:30:53.5496341Z ##[group]Run set -ex 2025-01-24T03:30:53.5496650Z set -ex 2025-01-24T03:30:53.5496880Z  2025-01-24T03:30:53.5497275Z # If the docker build directory or the build script doesn't exist, the action will 2025-01-24T03:30:53.5497936Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-01-24T03:30:53.5498481Z # job could then download the pre-built image as usual 2025-01-24T03:30:53.5498986Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/build.sh" ]]; then 2025-01-24T03:30:53.5499453Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-01-24T03:30:53.5499905Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-01-24T03:30:53.5500312Z  2025-01-24T03:30:53.5500686Z  echo "There is no Docker build script in ${REPO_NAME} repo, skipping..." 2025-01-24T03:30:53.5501109Z  exit 0 2025-01-24T03:30:53.5501351Z else 2025-01-24T03:30:53.5501630Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-01-24T03:30:53.5501953Z fi 2025-01-24T03:30:53.5502181Z  2025-01-24T03:30:53.5502527Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-01-24T03:30:53.5503092Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-01-24T03:30:53.5503610Z  # use it as it is, but first let's extract the tag 2025-01-24T03:30:53.5504083Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-01-24T03:30:53.5504579Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-01-24T03:30:53.5505055Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-01-24T03:30:53.5505458Z else 2025-01-24T03:30:53.5505773Z  DOCKER_TAG=$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-01-24T03:30:53.5506221Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-01-24T03:30:53.5506834Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-01-24T03:30:53.5507368Z fi 2025-01-24T03:30:53.5518950Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:30:53.5519363Z env: 2025-01-24T03:30:53.5519591Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:30:53.5519869Z REPO_NAME: pytorch 2025-01-24T03:30:53.5520859Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks:bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:30:53.5521718Z DOCKER_BUILD_DIR: .ci/docker 2025-01-24T03:30:53.5522072Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-01-24T03:30:53.5522443Z ##[endgroup] 2025-01-24T03:30:53.5551358Z + [[ ! -d .ci/docker ]] 2025-01-24T03:30:53.5551644Z + [[ ! -f .ci/docker/build.sh ]] 2025-01-24T03:30:53.5551924Z + echo skip=false 2025-01-24T03:30:53.5553194Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks:bf84073365afe24d4dcffebc142d1c20de914163 == *\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* ]] 2025-01-24T03:30:53.5559162Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks:bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:30:53.5560042Z ++ awk -F '[:,]' '{print $2}' 2025-01-24T03:30:53.5584546Z + DOCKER_TAG=bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:30:53.5585390Z + echo docker-tag=bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:30:53.5587732Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks:bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:30:53.5621268Z ##[group]Run set +e 2025-01-24T03:30:53.5621587Z set +e 2025-01-24T03:30:53.5621834Z set -x 2025-01-24T03:30:53.5622070Z  2025-01-24T03:30:53.5622308Z login() { 2025-01-24T03:30:53.5622782Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-01-24T03:30:53.5623283Z } 2025-01-24T03:30:53.5623516Z  2025-01-24T03:30:53.5623745Z retry () { 2025-01-24T03:30:53.5624032Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-01-24T03:30:53.5624355Z } 2025-01-24T03:30:53.5624583Z  2025-01-24T03:30:53.5624835Z retry login "${DOCKER_REGISTRY}" 2025-01-24T03:30:53.5625151Z  2025-01-24T03:30:53.5625383Z START_TIME=$(date +%s) 2025-01-24T03:30:53.5625684Z # Wait up to 90 minutes 2025-01-24T03:30:53.5626064Z while [[ $(( $(date +%s) - 5400 )) -lt $START_TIME ]]; do 2025-01-24T03:30:53.5626563Z  # Check if image already exists, if it does then skip building it 2025-01-24T03:30:53.5627049Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-01-24T03:30:53.5627424Z  exit 0 2025-01-24T03:30:53.5627677Z  fi 2025-01-24T03:30:53.5627914Z  2025-01-24T03:30:53.5628315Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-01-24T03:30:53.5628947Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-01-24T03:30:53.5629587Z  # latter, it will wait for the Docker images to become available before continuing 2025-01-24T03:30:53.5630092Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-01-24T03:30:53.5630488Z  # It's a Docker build job, let's build the image 2025-01-24T03:30:53.5630837Z  break 2025-01-24T03:30:53.5631090Z  else 2025-01-24T03:30:53.5631439Z  # It's a regular build job, wait for the image to become available 2025-01-24T03:30:53.5631844Z  sleep 300 2025-01-24T03:30:53.5632101Z  fi 2025-01-24T03:30:53.5632419Z done 2025-01-24T03:30:53.5632651Z  2025-01-24T03:30:53.5633007Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-01-24T03:30:53.5633559Z # be empty. The default action would be to continue rebuild the image 2025-01-24T03:30:53.5634067Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-01-24T03:30:53.5634671Z  # if we're on the base branch then use the parent commit 2025-01-24T03:30:53.5635076Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-01-24T03:30:53.5635394Z else 2025-01-24T03:30:53.5635725Z  # otherwise we're on a PR, so use the most recent base commit 2025-01-24T03:30:53.5636195Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-01-24T03:30:53.5636550Z fi 2025-01-24T03:30:53.5636767Z  2025-01-24T03:30:53.5637011Z if [[ -z "${MERGE_BASE}" ]]; then 2025-01-24T03:30:53.5637378Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-01-24T03:30:53.5637715Z  2025-01-24T03:30:53.5638311Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-01-24T03:30:53.5638828Z  exit 0 2025-01-24T03:30:53.5639073Z fi 2025-01-24T03:30:53.5639303Z  2025-01-24T03:30:53.5639626Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-01-24T03:30:53.5640282Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-01-24T03:30:53.5640849Z  exit 1 2025-01-24T03:30:53.5641087Z fi 2025-01-24T03:30:53.5641313Z  2025-01-24T03:30:53.5641687Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-01-24T03:30:53.5642320Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-01-24T03:30:53.5642894Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-01-24T03:30:53.5643557Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-01-24T03:30:53.5644267Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-01-24T03:30:53.5644717Z fi 2025-01-24T03:30:53.5644946Z  2025-01-24T03:30:53.5645232Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-01-24T03:30:53.5653891Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:30:53.5654281Z env: 2025-01-24T03:30:53.5654518Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:30:53.5654800Z DOCKER_BUILD_DIR: .ci/docker 2025-01-24T03:30:53.5655159Z BASE_REVISION: d087145b9259b4cfbcb758dc0bca6a6e5d75d08f 2025-01-24T03:30:53.5656070Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks:bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:30:53.5656972Z DOCKER_TAG: bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:30:53.5657412Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-01-24T03:30:53.5657794Z DOCKER_PUSH: 2025-01-24T03:30:53.5658036Z ##[endgroup] 2025-01-24T03:30:53.5684672Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-01-24T03:30:53.5685119Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-01-24T03:30:53.5687658Z + aws ecr get-login-password --region us-east-1 2025-01-24T03:30:53.5688904Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-01-24T03:30:54.0738463Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-01-24T03:30:54.0739592Z Configure a credential helper to remove this warning. See 2025-01-24T03:30:54.0740345Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-01-24T03:30:54.0740714Z 2025-01-24T03:30:54.0740815Z Login Succeeded 2025-01-24T03:30:54.0765050Z ++ date +%s 2025-01-24T03:30:54.0776964Z + START_TIME=1737689454 2025-01-24T03:30:54.0781428Z ++ date +%s 2025-01-24T03:30:54.0793313Z + [[ 1737684054 -lt 1737689454 ]] 2025-01-24T03:30:54.0794228Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks:bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:30:54.3214398Z { 2025-01-24T03:30:54.3215812Z "schemaVersion": 2, 2025-01-24T03:30:54.3216414Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-01-24T03:30:54.3216894Z "config": { 2025-01-24T03:30:54.3217231Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-01-24T03:30:54.3217620Z "size": 52686, 2025-01-24T03:30:54.3218133Z "digest": "sha256:942b58b1b376e2a34303ee663a1634a7db54685c9780b676bb7cc690ae4274b0" 2025-01-24T03:30:54.3218722Z }, 2025-01-24T03:30:54.3218931Z "layers": [ 2025-01-24T03:30:54.3219145Z { 2025-01-24T03:30:54.3219598Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-01-24T03:30:54.3220161Z "size": 28584506, 2025-01-24T03:30:54.3221115Z "digest": "sha256:80888bc6716fcbb8874e75ac88898d3e38e6f1bc55678f0e97ca9d706b7f3733" 2025-01-24T03:30:54.3221587Z }, 2025-01-24T03:30:54.3221866Z { 2025-01-24T03:30:54.3222312Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-01-24T03:30:54.3222873Z "size": 7944698, 2025-01-24T03:30:54.3223299Z "digest": "sha256:fbcd35dc5bc3a7bda41926aadd083020f942b001ebac6f1d30480f0f065394c0" 2025-01-24T03:30:54.3223842Z }, 2025-01-24T03:30:54.3224110Z { 2025-01-24T03:30:54.3224552Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-01-24T03:30:54.3225035Z "size": 57593527, 2025-01-24T03:30:54.3225459Z "digest": 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"sha256:01541392d9b68dcfbf026d169cc32feaf318627b305e8c37087d6070cd61ebb3" 2025-01-24T03:30:54.3248216Z }, 2025-01-24T03:30:54.3248407Z { 2025-01-24T03:30:54.3248732Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-01-24T03:30:54.3249149Z "size": 486, 2025-01-24T03:30:54.3249577Z "digest": "sha256:c95f803648aa7304992e3754fd93582d8fded3f6593f29cc5f43a23d430e091f" 2025-01-24T03:30:54.3250014Z }, 2025-01-24T03:30:54.3250217Z { 2025-01-24T03:30:54.3250552Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-01-24T03:30:54.3250953Z "size": 91729317, 2025-01-24T03:30:54.3251365Z "digest": "sha256:9c2bb26500c979db0deed7ec22ad00277d5ce83c8fa1d821913ce650751314cb" 2025-01-24T03:30:54.3251819Z }, 2025-01-24T03:30:54.3252011Z { 2025-01-24T03:30:54.3252337Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-01-24T03:30:54.3252735Z "size": 3744, 2025-01-24T03:30:54.3263982Z "digest": 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-01-24T03:30:54.3379257Z }, 2025-01-24T03:30:54.3379447Z { 2025-01-24T03:30:54.3379785Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-01-24T03:30:54.3380195Z "size": 32, 2025-01-24T03:30:54.3380604Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-01-24T03:30:54.3381065Z } 2025-01-24T03:30:54.3381260Z ] 2025-01-24T03:30:54.3381459Z } 2025-01-24T03:30:54.3431692Z ##[group]Run set -eux 2025-01-24T03:30:54.3432141Z set -eux 2025-01-24T03:30:54.3433030Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin 2025-01-24T03:30:54.3443592Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:30:54.3443963Z env: 2025-01-24T03:30:54.3444180Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:30:54.3444446Z ##[endgroup] 2025-01-24T03:30:54.3480222Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-01-24T03:30:54.3480972Z + jq --raw-output .SecretString 2025-01-24T03:30:54.3482126Z + jq -r .docker_hub_readonly_token 2025-01-24T03:30:54.3483596Z + docker login --username pytorchbot --password-stdin 2025-01-24T03:30:54.9307774Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-01-24T03:30:54.9308428Z Configure a credential helper to remove this warning. See 2025-01-24T03:30:54.9309106Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-01-24T03:30:54.9309907Z 2025-01-24T03:30:54.9310048Z Login Succeeded 2025-01-24T03:30:54.9408238Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*/} 2025-01-24T03:30:54.9408631Z tag=${ECR_DOCKER_IMAGE##*/} 2025-01-24T03:30:54.9409031Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-01-24T03:30:54.9417802Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:30:54.9418176Z env: 2025-01-24T03:30:54.9418387Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:30:54.9419222Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks:bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:30:54.9420073Z ##[endgroup] 2025-01-24T03:30:54.9451851Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks-bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:30:54.9537192Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-01-24T03:30:54.9537641Z with: 2025-01-24T03:30:54.9538416Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks:bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:30:54.9539348Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-01-24T03:30:54.9539730Z env: 2025-01-24T03:30:54.9539953Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:30:54.9540227Z ##[endgroup] 2025-01-24T03:30:54.9565341Z ##[group]Run set -x 2025-01-24T03:30:54.9565612Z set -x 2025-01-24T03:30:54.9565843Z set +e 2025-01-24T03:30:54.9566065Z  2025-01-24T03:30:54.9566281Z login() { 2025-01-24T03:30:54.9566737Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-01-24T03:30:54.9567221Z } 2025-01-24T03:30:54.9567435Z  2025-01-24T03:30:54.9567678Z retry () { 2025-01-24T03:30:54.9567969Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-01-24T03:30:54.9568275Z } 2025-01-24T03:30:54.9568486Z  2025-01-24T03:30:54.9568725Z retry login "${DOCKER_REGISTRY}" 2025-01-24T03:30:54.9569029Z  2025-01-24T03:30:54.9569240Z set -e 2025-01-24T03:30:54.9569571Z # ignore output since only exit code is used for conditional 2025-01-24T03:30:54.9570040Z # only pull docker image if it's not available locally 2025-01-24T03:30:54.9570721Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-01-24T03:30:54.9571229Z  retry docker pull "${DOCKER_IMAGE}" 2025-01-24T03:30:54.9571543Z fi 2025-01-24T03:30:54.9580130Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:30:54.9580483Z env: 2025-01-24T03:30:54.9580705Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:30:54.9581524Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks:bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:30:54.9582448Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-01-24T03:30:54.9582826Z ##[endgroup] 2025-01-24T03:30:54.9611406Z + set +e 2025-01-24T03:30:54.9611736Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-01-24T03:30:54.9612152Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-01-24T03:30:54.9615088Z + aws ecr get-login-password --region us-east-1 2025-01-24T03:30:54.9616760Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-01-24T03:30:55.4637437Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-01-24T03:30:55.4638031Z Configure a credential helper to remove this warning. See 2025-01-24T03:30:55.4638579Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-01-24T03:30:55.4639051Z 2025-01-24T03:30:55.4639468Z Login Succeeded 2025-01-24T03:30:55.4662088Z + set -e 2025-01-24T03:30:55.4663223Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks:bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:30:55.4826819Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks:bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:30:55.4828584Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks:bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:30:55.7231198Z bf84073365afe24d4dcffebc142d1c20de914163: Pulling from pytorch/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks 2025-01-24T03:30:55.7232561Z 80888bc6716f: Pulling fs layer 2025-01-24T03:30:55.7233026Z fbcd35dc5bc3: Pulling fs layer 2025-01-24T03:30:55.7233878Z c7232af9ae05: Pulling fs layer 2025-01-24T03:30:55.7234355Z db6cdef1932a: Pulling fs layer 2025-01-24T03:30:55.7234781Z 56dc85502937: Pulling fs layer 2025-01-24T03:30:55.7235213Z 30c0ea6140d0: Pulling fs layer 2025-01-24T03:30:55.7235641Z 71bdb1a72c2d: Pulling fs layer 2025-01-24T03:30:55.7236058Z 4829486be7c3: Pulling fs layer 2025-01-24T03:30:55.7236483Z 1f4e68d7b5e4: Pulling fs layer 2025-01-24T03:30:55.7236884Z 7c373e2d9b7e: Pulling fs layer 2025-01-24T03:30:55.7237291Z 622381141745: Pulling fs layer 2025-01-24T03:30:55.7237749Z 06c163cd1bd8: Pulling fs layer 2025-01-24T03:30:55.7238167Z b1c6f578b36f: Pulling fs layer 2025-01-24T03:30:55.7238582Z bb0b29a4db57: Pulling fs layer 2025-01-24T03:30:55.7239005Z 01541392d9b6: Pulling fs layer 2025-01-24T03:30:55.7239399Z c95f803648aa: Pulling fs layer 2025-01-24T03:30:55.7239741Z 9c2bb26500c9: Pulling fs layer 2025-01-24T03:30:55.7240045Z 5e70b6546015: Pulling fs layer 2025-01-24T03:30:55.7240319Z 71bdb1a72c2d: Waiting 2025-01-24T03:30:55.7240589Z 4fbeac90a1e9: Pulling fs layer 2025-01-24T03:30:55.7240877Z 2b985ebc8fc6: Pulling fs layer 2025-01-24T03:30:55.7241154Z 30c0ea6140d0: Waiting 2025-01-24T03:30:55.7241492Z db6cdef1932a: Waiting 2025-01-24T03:30:55.7241746Z 56dc85502937: Waiting 2025-01-24T03:30:55.7242006Z 0cf3ba602a54: Pulling fs layer 2025-01-24T03:30:55.7242361Z f4bf844b7179: Pulling fs layer 2025-01-24T03:30:55.7242661Z 6ff598a9bbe6: Pulling fs layer 2025-01-24T03:30:55.7243027Z 4829486be7c3: Waiting 2025-01-24T03:30:55.7243381Z 29fededa0809: Pulling fs layer 2025-01-24T03:30:55.7243713Z 1f4e68d7b5e4: Waiting 2025-01-24T03:30:55.7243951Z bb0b29a4db57: Waiting 2025-01-24T03:30:55.7244210Z b22d856095e3: Pulling fs layer 2025-01-24T03:30:55.7244492Z 2be79ea12ac5: Pulling fs layer 2025-01-24T03:30:55.7244771Z 95216ed72149: Pulling fs layer 2025-01-24T03:30:55.7245098Z 01541392d9b6: Waiting 2025-01-24T03:30:55.7245369Z 2d3f512fcc31: Pulling fs layer 2025-01-24T03:30:55.7245649Z b1c6f578b36f: Waiting 2025-01-24T03:30:55.7245962Z 06c163cd1bd8: Waiting 2025-01-24T03:30:55.7246245Z b0aa8b4b94bc: Pulling fs layer 2025-01-24T03:30:55.7246531Z 1dfa17a00f2e: Pulling fs layer 2025-01-24T03:30:55.7246806Z f4bf844b7179: Waiting 2025-01-24T03:30:55.7247060Z 7c373e2d9b7e: Waiting 2025-01-24T03:30:55.7247319Z 1d622d0d2c98: Pulling fs layer 2025-01-24T03:30:55.7247599Z dbe599a8c913: Pulling fs layer 2025-01-24T03:30:55.7247859Z 622381141745: Waiting 2025-01-24T03:30:55.7248119Z b1ce3bd81619: Pulling fs layer 2025-01-24T03:30:55.7248392Z 4fbeac90a1e9: Waiting 2025-01-24T03:30:55.7248648Z 67ed521a9183: Pulling fs layer 2025-01-24T03:30:55.7248914Z 95216ed72149: Waiting 2025-01-24T03:30:55.7249148Z 2d3f512fcc31: Waiting 2025-01-24T03:30:55.7249421Z 2b985ebc8fc6: Waiting 2025-01-24T03:30:55.7249714Z 2783e5da3607: Pulling fs layer 2025-01-24T03:30:55.7250000Z 68f0ffa222e4: Pulling fs layer 2025-01-24T03:30:55.7250284Z 16c9fee3a65d: Pulling fs layer 2025-01-24T03:30:55.7250549Z 1dfa17a00f2e: Waiting 2025-01-24T03:30:55.7250841Z 85ed5285012d: Pulling fs layer 2025-01-24T03:30:55.7251122Z 0cf3ba602a54: Waiting 2025-01-24T03:30:55.7251641Z b0aa8b4b94bc: Waiting 2025-01-24T03:30:55.7251897Z b1a69b242620: Pulling fs layer 2025-01-24T03:30:55.7252225Z 43f25c4d253b: Pulling fs layer 2025-01-24T03:30:55.7252498Z e1beae55441c: Pulling fs layer 2025-01-24T03:30:55.7252769Z 5e70b6546015: Waiting 2025-01-24T03:30:55.7253024Z 8c347ce6dd3c: Pulling fs layer 2025-01-24T03:30:55.7253311Z 29ab4b7be04a: Pulling fs layer 2025-01-24T03:30:55.7253638Z 3659ddad9e5c: Pulling fs layer 2025-01-24T03:30:55.7253916Z b83af0a965e0: Pulling fs layer 2025-01-24T03:30:55.7254189Z 68f0ffa222e4: Waiting 2025-01-24T03:30:55.7254444Z a517ad3c51a9: Pulling fs layer 2025-01-24T03:30:55.7254724Z 97ae75186e8c: Pulling fs layer 2025-01-24T03:30:55.7254990Z b1a69b242620: Waiting 2025-01-24T03:30:55.7255248Z a8002bd8aece: Pulling fs layer 2025-01-24T03:30:55.7255521Z 43f25c4d253b: Waiting 2025-01-24T03:30:55.7255780Z de56adfd9738: Pulling fs layer 2025-01-24T03:30:55.7256060Z 29fededa0809: Waiting 2025-01-24T03:30:55.7256423Z b1ce3bd81619: Waiting 2025-01-24T03:30:55.7256687Z de9fa7771efa: Pulling fs layer 2025-01-24T03:30:55.7256974Z cae835931222: Pulling fs layer 2025-01-24T03:30:55.7257253Z 671397931d3a: Pulling fs layer 2025-01-24T03:30:55.7257524Z e1beae55441c: Waiting 2025-01-24T03:30:55.7257768Z 8a219d514759: Pulling fs layer 2025-01-24T03:30:55.7258049Z 8234cf8bfadd: Pulling fs layer 2025-01-24T03:30:55.7258317Z 9c2bb26500c9: Waiting 2025-01-24T03:30:55.7258570Z d969083d4080: Pulling fs layer 2025-01-24T03:30:55.7258843Z 4f4fb700ef54: Pulling fs layer 2025-01-24T03:30:55.7259102Z 6ff598a9bbe6: Waiting 2025-01-24T03:30:55.7259343Z 85ed5285012d: Waiting 2025-01-24T03:30:55.7259583Z 67ed521a9183: Waiting 2025-01-24T03:30:55.7259831Z 608fa3176287: Pulling fs layer 2025-01-24T03:30:55.7260096Z 8c347ce6dd3c: Waiting 2025-01-24T03:30:55.7260337Z cca835738fb0: Pulling fs layer 2025-01-24T03:30:55.7260618Z feb950b531cd: Pulling fs layer 2025-01-24T03:30:55.7260889Z de9fa7771efa: Waiting 2025-01-24T03:30:55.7261133Z 2783e5da3607: Waiting 2025-01-24T03:30:55.7261369Z 16c9fee3a65d: Waiting 2025-01-24T03:30:55.7261621Z ef1c3e2f2ce6: Pulling fs layer 2025-01-24T03:30:55.7261898Z 42f5e8389126: Pulling fs layer 2025-01-24T03:30:55.7262172Z b83af0a965e0: Waiting 2025-01-24T03:30:55.7262414Z a8002bd8aece: Waiting 2025-01-24T03:30:55.7262660Z 6a841de136ba: Pulling fs layer 2025-01-24T03:30:55.7262938Z 248405dc6ff5: Pulling fs layer 2025-01-24T03:30:55.7263281Z f570ed0644cb: Pulling fs layer 2025-01-24T03:30:55.7263564Z bd10bc983ea0: Pulling fs layer 2025-01-24T03:30:55.7263889Z 94f6d3302270: Pulling fs layer 2025-01-24T03:30:55.7264156Z c95f803648aa: Waiting 2025-01-24T03:30:55.7264451Z 9f2296b9fd54: Pulling fs layer 2025-01-24T03:30:55.7264746Z 82e2ce5f7c5d: Pulling fs layer 2025-01-24T03:30:55.7265038Z 01b79bcc5cba: Pulling fs layer 2025-01-24T03:30:55.7265361Z 80b6b63d489b: Pulling fs layer 2025-01-24T03:30:55.7265626Z 671397931d3a: Waiting 2025-01-24T03:30:55.7265907Z 9ec2e97779c9: Pulling fs layer 2025-01-24T03:30:55.7266192Z 8a219d514759: Waiting 2025-01-24T03:30:55.7266459Z d566f0ba79a4: Pulling fs layer 2025-01-24T03:30:55.7266750Z 9cb7d1caf7b3: Pulling fs layer 2025-01-24T03:30:55.7267019Z 8234cf8bfadd: Waiting 2025-01-24T03:30:55.7267281Z 7eb0a8858499: Pulling fs layer 2025-01-24T03:30:55.7267559Z b22d856095e3: Waiting 2025-01-24T03:30:55.7267812Z 29ab4b7be04a: Waiting 2025-01-24T03:30:55.7268058Z d969083d4080: Waiting 2025-01-24T03:30:55.7268306Z 8333da226cfe: Pulling fs layer 2025-01-24T03:30:55.7268588Z ef1c3e2f2ce6: Waiting 2025-01-24T03:30:55.7268840Z 248405dc6ff5: Waiting 2025-01-24T03:30:55.7269092Z 9ec2e97779c9: Waiting 2025-01-24T03:30:55.7269340Z d566f0ba79a4: Waiting 2025-01-24T03:30:55.7269581Z 9cb7d1caf7b3: Waiting 2025-01-24T03:30:55.7269826Z 6a841de136ba: Waiting 2025-01-24T03:30:55.7270069Z 7eb0a8858499: Waiting 2025-01-24T03:30:55.7270319Z 608fa3176287: Waiting 2025-01-24T03:30:55.7270556Z 42f5e8389126: Waiting 2025-01-24T03:30:55.7270786Z cca835738fb0: Waiting 2025-01-24T03:30:55.7271036Z bd10bc983ea0: Waiting 2025-01-24T03:30:55.7271291Z 94f6d3302270: Waiting 2025-01-24T03:30:55.7271638Z 01b79bcc5cba: Waiting 2025-01-24T03:30:55.7271884Z 82e2ce5f7c5d: Waiting 2025-01-24T03:30:55.7272127Z 80b6b63d489b: Waiting 2025-01-24T03:30:55.7272467Z 4f4fb700ef54: Waiting 2025-01-24T03:30:55.7272702Z a517ad3c51a9: Waiting 2025-01-24T03:30:55.7272948Z de56adfd9738: Waiting 2025-01-24T03:30:55.7273191Z cae835931222: Waiting 2025-01-24T03:30:55.7273430Z f570ed0644cb: Waiting 2025-01-24T03:30:55.7273664Z 97ae75186e8c: Waiting 2025-01-24T03:30:55.8776755Z fbcd35dc5bc3: Verifying Checksum 2025-01-24T03:30:55.8777091Z fbcd35dc5bc3: Download complete 2025-01-24T03:30:56.0123387Z db6cdef1932a: Verifying Checksum 2025-01-24T03:30:56.0123877Z db6cdef1932a: Download complete 2025-01-24T03:30:56.0932881Z 80888bc6716f: Verifying Checksum 2025-01-24T03:30:56.0933373Z 80888bc6716f: Download complete 2025-01-24T03:30:56.1050958Z 56dc85502937: Verifying Checksum 2025-01-24T03:30:56.1051852Z 56dc85502937: Download complete 2025-01-24T03:30:56.1916574Z 71bdb1a72c2d: Verifying Checksum 2025-01-24T03:30:56.1917290Z 71bdb1a72c2d: Download complete 2025-01-24T03:30:56.2983349Z 4829486be7c3: Download complete 2025-01-24T03:30:56.3756010Z 1f4e68d7b5e4: Verifying Checksum 2025-01-24T03:30:56.3756464Z 1f4e68d7b5e4: Download complete 2025-01-24T03:30:56.3786931Z c7232af9ae05: Verifying Checksum 2025-01-24T03:30:56.3787390Z c7232af9ae05: Download complete 2025-01-24T03:30:56.4759029Z 622381141745: Download complete 2025-01-24T03:30:56.5488637Z 06c163cd1bd8: Verifying Checksum 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2025-01-24T03:37:11.3002354Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-01-24T03:37:11.3014605Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:37:11.3014976Z env: 2025-01-24T03:37:11.3015213Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:37:11.3015487Z ##[endgroup] 2025-01-24T03:37:11.3365502Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-01-24T03:37:11.3365903Z with: 2025-01-24T03:37:11.3366126Z driver-version: 550.54.15 2025-01-24T03:37:11.3366388Z env: 2025-01-24T03:37:11.3366601Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:37:11.3366862Z ##[endgroup] 2025-01-24T03:37:11.3514113Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2025-01-24T03:37:11.3514509Z with: 2025-01-24T03:37:11.3514731Z timeout_minutes: 10 2025-01-24T03:37:11.3515004Z max_attempts: 3 2025-01-24T03:37:11.3537548Z 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-docker2 nvidia-container-toolkit-1.16.2 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-docker2 nvidia-container-toolkit-1.16.2 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 $DRIVER_VERSION instead. Continuing" else HAS_NVIDIA_DRIVER=1 echo "NVIDIA driver ($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 2025-01-24T03:37:11.3560405Z retry_wait_seconds: 10 2025-01-24T03:37:11.3560684Z polling_interval_seconds: 1 2025-01-24T03:37:11.3560973Z warning_on_retry: true 2025-01-24T03:37:11.3561251Z continue_on_error: false 2025-01-24T03:37:11.3561508Z env: 2025-01-24T03:37:11.3561733Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:37:11.3562006Z DRIVER_VERSION: 550.54.15 2025-01-24T03:37:11.3562278Z ##[endgroup] 2025-01-24T03:37:11.4508210Z == Installing nvidia driver NVIDIA-Linux-x86_64-550.54.15.run == 2025-01-24T03:37:11.4510027Z + pre_install_nvidia_driver_amzn2 2025-01-24T03:37:11.4510633Z + sudo yum remove -y nvidia-driver-latest-dkms 2025-01-24T03:37:12.0115824Z No match for argument: nvidia-driver-latest-dkms 2025-01-24T03:37:12.0116224Z No packages marked for removal. 2025-01-24T03:37:12.0178407Z Dependencies resolved. 2025-01-24T03:37:12.0188508Z Nothing to do. 2025-01-24T03:37:12.0189088Z Complete! 2025-01-24T03:37:12.0900562Z + install_nvidia_driver_common 2025-01-24T03:37:12.0904410Z + echo 'Before installing NVIDIA driver' 2025-01-24T03:37:12.0905869Z Before installing NVIDIA driver 2025-01-24T03:37:12.0907890Z + lspci 2025-01-24T03:37:12.2138595Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-01-24T03:37:12.2139117Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-01-24T03:37:12.2139679Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-01-24T03:37:12.2140206Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-01-24T03:37:12.2140715Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-01-24T03:37:12.2141254Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-01-24T03:37:12.2141749Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-01-24T03:37:12.2142239Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-01-24T03:37:12.2142863Z + lsmod 2025-01-24T03:37:12.2180112Z Module Size Used by 2025-01-24T03:37:12.2180415Z xt_conntrack 16384 1 2025-01-24T03:37:12.2180701Z nft_chain_nat 16384 3 2025-01-24T03:37:12.2180976Z xt_MASQUERADE 20480 1 2025-01-24T03:37:12.2181288Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-01-24T03:37:12.2181627Z nf_conntrack_netlink 57344 0 2025-01-24T03:37:12.2182037Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-01-24T03:37:12.2182489Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-01-24T03:37:12.2182815Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-01-24T03:37:12.2183124Z xfrm_user 57344 1 2025-01-24T03:37:12.2183399Z xfrm_algo 16384 1 xfrm_user 2025-01-24T03:37:12.2183702Z xt_addrtype 16384 2 2025-01-24T03:37:12.2183979Z nft_compat 20480 4 2025-01-24T03:37:12.2184300Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-01-24T03:37:12.2184735Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-01-24T03:37:12.2185116Z br_netfilter 36864 0 2025-01-24T03:37:12.2185422Z bridge 323584 1 br_netfilter 2025-01-24T03:37:12.2185730Z stp 16384 1 bridge 2025-01-24T03:37:12.2186030Z llc 16384 2 bridge,stp 2025-01-24T03:37:12.2186328Z overlay 167936 0 2025-01-24T03:37:12.2186595Z tls 135168 0 2025-01-24T03:37:12.2186853Z nls_ascii 16384 1 2025-01-24T03:37:12.2187128Z nls_cp437 20480 1 2025-01-24T03:37:12.2187392Z vfat 24576 1 2025-01-24T03:37:12.2187658Z fat 86016 1 vfat 2025-01-24T03:37:12.2187939Z sunrpc 692224 1 2025-01-24T03:37:12.2188198Z ena 180224 0 2025-01-24T03:37:12.2188462Z i8042 45056 0 2025-01-24T03:37:12.2188759Z serio 28672 3 i8042 2025-01-24T03:37:12.2189079Z ghash_clmulni_intel 16384 0 2025-01-24T03:37:12.2189357Z button 24576 0 2025-01-24T03:37:12.2189620Z sch_fq_codel 20480 17 2025-01-24T03:37:12.2189894Z dm_mod 188416 0 2025-01-24T03:37:12.2190161Z fuse 163840 1 2025-01-24T03:37:12.2190428Z dax 45056 1 dm_mod 2025-01-24T03:37:12.2190718Z configfs 57344 1 2025-01-24T03:37:12.2190980Z loop 36864 0 2025-01-24T03:37:12.2191248Z dmi_sysfs 20480 0 2025-01-24T03:37:12.2191700Z crc32_pclmul 16384 0 2025-01-24T03:37:12.2191976Z crc32c_intel 24576 0 2025-01-24T03:37:12.2192248Z efivarfs 24576 1 2025-01-24T03:37:12.2192581Z + modinfo nvidia 2025-01-24T03:37:12.2200764Z filename: /lib/modules/6.1.119-129.201.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-01-24T03:37:12.2201251Z alias: char-major-195-* 2025-01-24T03:37:12.2201536Z version: 550.54.15 2025-01-24T03:37:12.2201806Z supported: external 2025-01-24T03:37:12.2202057Z license: NVIDIA 2025-01-24T03:37:12.2202337Z firmware: nvidia/550.54.15/gsp_tu10x.bin 2025-01-24T03:37:12.2202684Z firmware: nvidia/550.54.15/gsp_ga10x.bin 2025-01-24T03:37:12.2203014Z srcversion: 833721318DA517F0C2FEC97 2025-01-24T03:37:12.2203342Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-01-24T03:37:12.2203695Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-01-24T03:37:12.2204040Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-01-24T03:37:12.2204372Z depends: i2c-core,drm 2025-01-24T03:37:12.2204643Z retpoline: Y 2025-01-24T03:37:12.2204876Z name: nvidia 2025-01-24T03:37:12.2205246Z vermagic: 6.1.119-129.201.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-01-24T03:37:12.2205718Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-01-24T03:37:12.2206175Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-01-24T03:37:12.2206711Z parm: NVreg_ResmanDebugLevel:int 2025-01-24T03:37:12.2207035Z parm: NVreg_RmLogonRC:int 2025-01-24T03:37:12.2207348Z parm: NVreg_ModifyDeviceFiles:int 2025-01-24T03:37:12.2207840Z parm: NVreg_DeviceFileUID:int 2025-01-24T03:37:12.2208157Z parm: NVreg_DeviceFileGID:int 2025-01-24T03:37:12.2208476Z parm: NVreg_DeviceFileMode:int 2025-01-24T03:37:12.2208851Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-01-24T03:37:12.2209250Z parm: NVreg_UsePageAttributeTable:int 2025-01-24T03:37:12.2209599Z parm: NVreg_EnablePCIeGen3:int 2025-01-24T03:37:12.2209914Z parm: NVreg_EnableMSI:int 2025-01-24T03:37:12.2210216Z parm: NVreg_TCEBypassMode:int 2025-01-24T03:37:12.2210549Z parm: NVreg_EnableStreamMemOPs:int 2025-01-24T03:37:12.2210929Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-01-24T03:37:12.2211334Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-01-24T03:37:12.2211736Z parm: NVreg_EnableS0ixPowerManagement:int 2025-01-24T03:37:12.2212160Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-01-24T03:37:12.2212583Z parm: NVreg_DynamicPowerManagement:int 2025-01-24T03:37:12.2213014Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-01-24T03:37:12.2213431Z parm: NVreg_EnableGpuFirmware:int 2025-01-24T03:37:12.2213787Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-01-24T03:37:12.2214171Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-01-24T03:37:12.2214564Z parm: NVreg_EnableUserNUMAManagement:int 2025-01-24T03:37:12.2214920Z parm: NVreg_MemoryPoolSize:int 2025-01-24T03:37:12.2215260Z parm: NVreg_KMallocHeapMaxSize:int 2025-01-24T03:37:12.2215603Z parm: NVreg_VMallocHeapMaxSize:int 2025-01-24T03:37:12.2215946Z parm: NVreg_IgnoreMMIOCheck:int 2025-01-24T03:37:12.2216273Z parm: NVreg_NvLinkDisable:int 2025-01-24T03:37:12.2216643Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-01-24T03:37:12.2217021Z parm: NVreg_RegisterPCIDriver:int 2025-01-24T03:37:12.2217359Z parm: NVreg_EnableResizableBar:int 2025-01-24T03:37:12.2217707Z parm: NVreg_EnableDbgBreakpoint:int 2025-01-24T03:37:12.2218067Z parm: NVreg_EnableNonblockingOpen:int 2025-01-24T03:37:12.2218422Z parm: NVreg_RegistryDwords:charp 2025-01-24T03:37:12.2218828Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-01-24T03:37:12.2219298Z parm: NVreg_RmMsg:charp 2025-01-24T03:37:12.2219599Z parm: NVreg_GpuBlacklist:charp 2025-01-24T03:37:12.2219936Z parm: NVreg_TemporaryFilePath:charp 2025-01-24T03:37:12.2220271Z parm: NVreg_ExcludedGpus:charp 2025-01-24T03:37:12.2220601Z parm: NVreg_DmaRemapPeerMmio:int 2025-01-24T03:37:12.2220940Z parm: NVreg_RmNvlinkBandwidth:charp 2025-01-24T03:37:12.2221282Z parm: NVreg_ImexChannelCount:int 2025-01-24T03:37:12.2221612Z parm: rm_firmware_active:charp 2025-01-24T03:37:12.2221920Z + HAS_NVIDIA_DRIVER=0 2025-01-24T03:37:12.2222180Z ++ command -v nvidia-smi 2025-01-24T03:37:12.2222447Z + '[' -x /usr/bin/nvidia-smi ']' 2025-01-24T03:37:12.2222716Z + set +e 2025-01-24T03:37:12.2223041Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0 2025-01-24T03:37:14.4677299Z + INSTALLED_DRIVER_VERSION=550.54.15 2025-01-24T03:37:14.4677647Z + NVIDIA_SMI_STATUS=0 2025-01-24T03:37:14.4677906Z + '[' 0 -ne 0 ']' 2025-01-24T03:37:14.4678176Z + '[' 550.54.15 '!=' 550.54.15 ']' 2025-01-24T03:37:14.4690077Z + HAS_NVIDIA_DRIVER=1 2025-01-24T03:37:14.4690556Z + echo 'NVIDIA driver (550.54.15) has already been installed. Skipping NVIDIA driver installation' 2025-01-24T03:37:14.4691029Z + set -e 2025-01-24T03:37:14.4691236Z + '[' 1 -eq 0 ']' 2025-01-24T03:37:14.4691633Z NVIDIA driver (550.54.15) has already been installed. Skipping NVIDIA driver installation 2025-01-24T03:37:14.4692358Z + post_install_nvidia_driver_common 2025-01-24T03:37:14.4692668Z + sudo modprobe nvidia 2025-01-24T03:37:14.6115087Z + echo 'After installing NVIDIA driver' 2025-01-24T03:37:14.6115423Z + lspci 2025-01-24T03:37:14.6115659Z After installing NVIDIA driver 2025-01-24T03:37:14.6235829Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-01-24T03:37:14.6236346Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-01-24T03:37:14.6236912Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-01-24T03:37:14.6237456Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-01-24T03:37:14.6237951Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-01-24T03:37:14.6238493Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-01-24T03:37:14.6238993Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-01-24T03:37:14.6239495Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-01-24T03:37:14.6239910Z + lsmod 2025-01-24T03:37:14.6269444Z Module Size Used by 2025-01-24T03:37:14.6269811Z nvidia_uvm 4706304 0 2025-01-24T03:37:14.6270180Z nvidia 54071296 1 nvidia_uvm 2025-01-24T03:37:14.6270485Z drm 602112 1 nvidia 2025-01-24T03:37:14.6270806Z drm_panel_orientation_quirks 32768 1 drm 2025-01-24T03:37:14.6271122Z backlight 24576 1 drm 2025-01-24T03:37:14.6271431Z i2c_core 106496 2 nvidia,drm 2025-01-24T03:37:14.6271746Z xt_conntrack 16384 1 2025-01-24T03:37:14.6272027Z nft_chain_nat 16384 3 2025-01-24T03:37:14.6272306Z xt_MASQUERADE 20480 1 2025-01-24T03:37:14.6272692Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-01-24T03:37:14.6273058Z nf_conntrack_netlink 57344 0 2025-01-24T03:37:14.6273472Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-01-24T03:37:14.6273924Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-01-24T03:37:14.6274256Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-01-24T03:37:14.6274565Z xfrm_user 57344 1 2025-01-24T03:37:14.6274843Z xfrm_algo 16384 1 xfrm_user 2025-01-24T03:37:14.6275151Z xt_addrtype 16384 2 2025-01-24T03:37:14.6275430Z nft_compat 20480 4 2025-01-24T03:37:14.6275756Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-01-24T03:37:14.6276188Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-01-24T03:37:14.6276812Z br_netfilter 36864 0 2025-01-24T03:37:14.6277113Z bridge 323584 1 br_netfilter 2025-01-24T03:37:14.6277423Z stp 16384 1 bridge 2025-01-24T03:37:14.6277727Z llc 16384 2 bridge,stp 2025-01-24T03:37:14.6278029Z overlay 167936 0 2025-01-24T03:37:14.6278295Z tls 135168 0 2025-01-24T03:37:14.6278567Z nls_ascii 16384 1 2025-01-24T03:37:14.6278845Z nls_cp437 20480 1 2025-01-24T03:37:14.6279113Z vfat 24576 1 2025-01-24T03:37:14.6279382Z fat 86016 1 vfat 2025-01-24T03:37:14.6279661Z sunrpc 692224 1 2025-01-24T03:37:14.6279927Z ena 180224 0 2025-01-24T03:37:14.6280195Z i8042 45056 0 2025-01-24T03:37:14.6280465Z serio 28672 3 i8042 2025-01-24T03:37:14.6280760Z ghash_clmulni_intel 16384 0 2025-01-24T03:37:14.6281038Z button 24576 0 2025-01-24T03:37:14.6281316Z sch_fq_codel 20480 17 2025-01-24T03:37:14.6281597Z dm_mod 188416 0 2025-01-24T03:37:14.6281864Z fuse 163840 1 2025-01-24T03:37:14.6282139Z dax 45056 1 dm_mod 2025-01-24T03:37:14.6282426Z configfs 57344 1 2025-01-24T03:37:14.6282705Z loop 36864 0 2025-01-24T03:37:14.6282972Z dmi_sysfs 20480 0 2025-01-24T03:37:14.6283402Z crc32_pclmul 16384 0 2025-01-24T03:37:14.6283686Z crc32c_intel 24576 0 2025-01-24T03:37:14.6284011Z efivarfs 24576 1 2025-01-24T03:37:14.6284373Z + modinfo nvidia 2025-01-24T03:37:14.6286965Z filename: /lib/modules/6.1.119-129.201.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-01-24T03:37:14.6287578Z alias: char-major-195-* 2025-01-24T03:37:14.6287869Z version: 550.54.15 2025-01-24T03:37:14.6288142Z supported: external 2025-01-24T03:37:14.6288397Z license: NVIDIA 2025-01-24T03:37:14.6288693Z firmware: nvidia/550.54.15/gsp_tu10x.bin 2025-01-24T03:37:14.6289047Z firmware: nvidia/550.54.15/gsp_ga10x.bin 2025-01-24T03:37:14.6289427Z srcversion: 833721318DA517F0C2FEC97 2025-01-24T03:37:14.6289771Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-01-24T03:37:14.6290119Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-01-24T03:37:14.6290476Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-01-24T03:37:14.6290812Z depends: i2c-core,drm 2025-01-24T03:37:14.6291089Z retpoline: Y 2025-01-24T03:37:14.6291328Z name: nvidia 2025-01-24T03:37:14.6291696Z vermagic: 6.1.119-129.201.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-01-24T03:37:14.6292179Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-01-24T03:37:14.6292638Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-01-24T03:37:14.6293076Z parm: NVreg_ResmanDebugLevel:int 2025-01-24T03:37:14.6293404Z parm: NVreg_RmLogonRC:int 2025-01-24T03:37:14.6293718Z parm: NVreg_ModifyDeviceFiles:int 2025-01-24T03:37:14.6294049Z parm: NVreg_DeviceFileUID:int 2025-01-24T03:37:14.6294371Z parm: NVreg_DeviceFileGID:int 2025-01-24T03:37:14.6294705Z parm: NVreg_DeviceFileMode:int 2025-01-24T03:37:14.6295089Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-01-24T03:37:14.6295489Z parm: NVreg_UsePageAttributeTable:int 2025-01-24T03:37:14.6295848Z parm: NVreg_EnablePCIeGen3:int 2025-01-24T03:37:14.6296173Z parm: NVreg_EnableMSI:int 2025-01-24T03:37:14.6296483Z parm: NVreg_TCEBypassMode:int 2025-01-24T03:37:14.6296821Z parm: NVreg_EnableStreamMemOPs:int 2025-01-24T03:37:14.6297196Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-01-24T03:37:14.6297614Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-01-24T03:37:14.6298021Z parm: NVreg_EnableS0ixPowerManagement:int 2025-01-24T03:37:14.6298564Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-01-24T03:37:14.6298994Z parm: NVreg_DynamicPowerManagement:int 2025-01-24T03:37:14.6299430Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-01-24T03:37:14.6299875Z parm: NVreg_EnableGpuFirmware:int 2025-01-24T03:37:14.6300259Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-01-24T03:37:14.6300653Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-01-24T03:37:14.6301054Z parm: NVreg_EnableUserNUMAManagement:int 2025-01-24T03:37:14.6301414Z parm: NVreg_MemoryPoolSize:int 2025-01-24T03:37:14.6301749Z parm: NVreg_KMallocHeapMaxSize:int 2025-01-24T03:37:14.6302101Z parm: NVreg_VMallocHeapMaxSize:int 2025-01-24T03:37:14.6302445Z parm: NVreg_IgnoreMMIOCheck:int 2025-01-24T03:37:14.6302775Z parm: NVreg_NvLinkDisable:int 2025-01-24T03:37:14.6303142Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-01-24T03:37:14.6303516Z parm: NVreg_RegisterPCIDriver:int 2025-01-24T03:37:14.6303865Z parm: NVreg_EnableResizableBar:int 2025-01-24T03:37:14.6304218Z parm: NVreg_EnableDbgBreakpoint:int 2025-01-24T03:37:14.6304582Z parm: NVreg_EnableNonblockingOpen:int 2025-01-24T03:37:14.6304939Z parm: NVreg_RegistryDwords:charp 2025-01-24T03:37:14.6305290Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-01-24T03:37:14.6305733Z parm: NVreg_RmMsg:charp 2025-01-24T03:37:14.6306048Z parm: NVreg_GpuBlacklist:charp 2025-01-24T03:37:14.6306396Z parm: NVreg_TemporaryFilePath:charp 2025-01-24T03:37:14.6306740Z parm: NVreg_ExcludedGpus:charp 2025-01-24T03:37:14.6307072Z parm: NVreg_DmaRemapPeerMmio:int 2025-01-24T03:37:14.6307424Z parm: NVreg_RmNvlinkBandwidth:charp 2025-01-24T03:37:14.6308069Z parm: NVreg_ImexChannelCount:int 2025-01-24T03:37:14.6308402Z parm: rm_firmware_active:charp 2025-01-24T03:37:14.6308702Z + set +e 2025-01-24T03:37:14.6308931Z + nvidia-smi 2025-01-24T03:37:16.2068173Z Fri Jan 24 03:37:16 2025 2025-01-24T03:37:16.2068587Z +-----------------------------------------------------------------------------------------+ 2025-01-24T03:37:16.2069114Z | NVIDIA-SMI 550.54.15 Driver Version: 550.54.15 CUDA Version: 12.4 | 2025-01-24T03:37:16.2069640Z |-----------------------------------------+------------------------+----------------------+ 2025-01-24T03:37:16.2070171Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-01-24T03:37:16.2070783Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-01-24T03:37:16.2071239Z | | | MIG M. | 2025-01-24T03:37:16.2071599Z |=========================================+========================+======================| 2025-01-24T03:37:16.2166765Z | 0 NVIDIA A10G Off | 00000000:00:1E.0 Off | 0 | 2025-01-24T03:37:16.2167259Z | 0% 26C P0 58W / 300W | 0MiB / 23028MiB | 5% Default | 2025-01-24T03:37:16.2167658Z | | | N/A | 2025-01-24T03:37:16.2168066Z +-----------------------------------------+------------------------+----------------------+ 2025-01-24T03:37:16.2168506Z 2025-01-24T03:37:16.2168916Z +-----------------------------------------------------------------------------------------+ 2025-01-24T03:37:16.2169359Z | Processes: | 2025-01-24T03:37:16.2169833Z | GPU GI CI PID Type Process name GPU Memory | 2025-01-24T03:37:16.2170275Z | ID ID Usage | 2025-01-24T03:37:16.2170854Z |=========================================================================================| 2025-01-24T03:37:16.2171920Z | No running processes found | 2025-01-24T03:37:16.2172406Z +-----------------------------------------------------------------------------------------+ 2025-01-24T03:37:16.8306782Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 2025-01-24T03:37:18.4009722Z NVIDIA A10G 2025-01-24T03:37:18.8599818Z + NVIDIA_SMI_STATUS=0 2025-01-24T03:37:18.8600120Z + '[' 0 -eq 0 ']' 2025-01-24T03:37:18.8600399Z + echo 'INFO: Ignoring allowed status 0' 2025-01-24T03:37:18.8600721Z + set -e 2025-01-24T03:37:18.8600959Z INFO: Ignoring allowed status 0 2025-01-24T03:37:18.8609111Z == Installing nvidia container toolkit for amzn2023 == 2025-01-24T03:37:18.8612963Z + sudo yum install -y yum-utils 2025-01-24T03:37:19.3066152Z Last metadata expiration check: 0:14:21 ago on Fri Jan 24 03:22:58 2025. 2025-01-24T03:37:19.3298167Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed. 2025-01-24T03:37:19.3663972Z Dependencies resolved. 2025-01-24T03:37:19.3831390Z Nothing to do. 2025-01-24T03:37:19.3831692Z Complete! 2025-01-24T03:37:19.4766025Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]] 2025-01-24T03:37:19.4766700Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-01-24T03:37:19.4768339Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-01-24T03:37:19.8082542Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-01-24T03:37:19.8728021Z + sudo yum install -y nvidia-docker2 nvidia-container-toolkit-1.16.2 2025-01-24T03:37:20.3947122Z nvidia-container-toolkit 14 kB/s | 833 B 00:00 2025-01-24T03:37:20.4180650Z Package nvidia-docker2-2.14.0-1.noarch is already installed. 2025-01-24T03:37:20.4551580Z Dependencies resolved. 2025-01-24T03:37:20.4713709Z ================================================================================ 2025-01-24T03:37:20.4714142Z Package Arch Version Repository Size 2025-01-24T03:37:20.4714536Z ================================================================================ 2025-01-24T03:37:20.4714859Z Downgrading: 2025-01-24T03:37:20.4715258Z nvidia-container-toolkit x86_64 1.16.2-1 nvidia-container-toolkit 1.2 M 2025-01-24T03:37:20.4715858Z nvidia-container-toolkit-base x86_64 1.16.2-1 nvidia-container-toolkit 5.6 M 2025-01-24T03:37:20.4716223Z 2025-01-24T03:37:20.4716327Z Transaction Summary 2025-01-24T03:37:20.4716599Z ================================================================================ 2025-01-24T03:37:20.4716927Z Downgrade 2 Packages 2025-01-24T03:37:20.4717087Z 2025-01-24T03:37:20.4717205Z Total download size: 6.8 M 2025-01-24T03:37:20.4718570Z Downloading Packages: 2025-01-24T03:37:20.5505053Z (1/2): nvidia-container-toolkit-1.16.2-1.x86_64 16 MB/s | 1.2 MB 00:00 2025-01-24T03:37:20.7430664Z (2/2): nvidia-container-toolkit-base-1.16.2-1.x 21 MB/s | 5.6 MB 00:00 2025-01-24T03:37:20.7439750Z -------------------------------------------------------------------------------- 2025-01-24T03:37:20.7443215Z Total 25 MB/s | 6.8 MB 00:00 2025-01-24T03:37:20.7446197Z Running transaction check 2025-01-24T03:37:20.7547077Z Transaction check succeeded. 2025-01-24T03:37:20.7547531Z Running transaction test 2025-01-24T03:37:20.7844794Z Transaction test succeeded. 2025-01-24T03:37:20.7847554Z Running transaction 2025-01-24T03:37:21.4854174Z Preparing : 1/1 2025-01-24T03:37:21.6456411Z Downgrading : nvidia-container-toolkit-base-1.16.2-1.x86_64 1/4 2025-01-24T03:37:21.6768042Z Downgrading : nvidia-container-toolkit-1.16.2-1.x86_64 2/4 2025-01-24T03:37:21.7683084Z Running scriptlet: nvidia-container-toolkit-1.16.2-1.x86_64 2/4 2025-01-24T03:37:21.7683677Z Cleanup : nvidia-container-toolkit-1.17.4-1.x86_64 3/4 2025-01-24T03:37:21.8042520Z Running scriptlet: nvidia-container-toolkit-1.17.4-1.x86_64 3/4 2025-01-24T03:37:21.8388955Z Cleanup : nvidia-container-toolkit-base-1.17.4-1.x86_64 4/4 2025-01-24T03:38:09.1870909Z Running scriptlet: nvidia-container-toolkit-1.16.2-1.x86_64 4/4 2025-01-24T03:38:09.1872107Z Verifying : nvidia-container-toolkit-1.16.2-1.x86_64 1/4 2025-01-24T03:38:09.1873282Z Verifying : nvidia-container-toolkit-1.17.4-1.x86_64 2/4 2025-01-24T03:38:09.1874364Z Verifying : nvidia-container-toolkit-base-1.16.2-1.x86_64 3/4 2025-01-24T03:38:09.3383480Z Verifying : nvidia-container-toolkit-base-1.17.4-1.x86_64 4/4 2025-01-24T03:38:09.3383901Z 2025-01-24T03:38:09.3384000Z Downgraded: 2025-01-24T03:38:09.3384375Z nvidia-container-toolkit-1.16.2-1.x86_64 2025-01-24T03:38:09.3384959Z nvidia-container-toolkit-base-1.16.2-1.x86_64 2025-01-24T03:38:09.3385356Z 2025-01-24T03:38:09.3385458Z Complete! 2025-01-24T03:38:09.3829981Z + sudo systemctl restart docker 2025-01-24T03:38:15.8086830Z Fri Jan 24 03:38:15 2025 2025-01-24T03:38:15.8087763Z +-----------------------------------------------------------------------------------------+ 2025-01-24T03:38:15.8088294Z | NVIDIA-SMI 550.54.15 Driver Version: 550.54.15 CUDA Version: 12.4 | 2025-01-24T03:38:15.8088793Z |-----------------------------------------+------------------------+----------------------+ 2025-01-24T03:38:15.8089299Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-01-24T03:38:15.8089845Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-01-24T03:38:15.8090304Z | | | MIG M. | 2025-01-24T03:38:15.8090651Z |=========================================+========================+======================| 2025-01-24T03:38:15.8216373Z | 0 NVIDIA A10G On | 00000000:00:1E.0 Off | 0 | 2025-01-24T03:38:15.8216865Z | 0% 26C P0 59W / 300W | 0MiB / 23028MiB | 5% Default | 2025-01-24T03:38:15.8217257Z | | | N/A | 2025-01-24T03:38:15.8217821Z +-----------------------------------------+------------------------+----------------------+ 2025-01-24T03:38:15.8218329Z 2025-01-24T03:38:15.8218732Z +-----------------------------------------------------------------------------------------+ 2025-01-24T03:38:15.8219181Z | Processes: | 2025-01-24T03:38:15.8219638Z | GPU GI CI PID Type Process name GPU Memory | 2025-01-24T03:38:15.8220079Z | ID ID Usage | 2025-01-24T03:38:15.8220438Z |=========================================================================================| 2025-01-24T03:38:15.8221414Z | No running processes found | 2025-01-24T03:38:15.8221898Z +-----------------------------------------------------------------------------------------+ 2025-01-24T03:38:16.4865253Z Command completed after 1 attempt(s). 2025-01-24T03:38:16.4962746Z Prepare all required actions 2025-01-24T03:38:16.5004870Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-01-24T03:38:16.5005218Z with: 2025-01-24T03:38:16.5005600Z github-token: *** 2025-01-24T03:38:16.5006068Z env: 2025-01-24T03:38:16.5006294Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:38:16.5006631Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:38:16.5006981Z ##[endgroup] 2025-01-24T03:38:16.5027444Z ##[group]Run set -eux 2025-01-24T03:38:16.5027719Z set -eux 2025-01-24T03:38:16.5028144Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-01-24T03:38:16.5042468Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:38:16.5042836Z env: 2025-01-24T03:38:16.5043058Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:38:16.5043392Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:38:16.5043872Z GITHUB_TOKEN: *** 2025-01-24T03:38:16.5044114Z ##[endgroup] 2025-01-24T03:38:16.5075458Z + python3 .github/scripts/get_workflow_job_id.py 12940917610 i-06104fb7bf5509793 2025-01-24T03:38:17.6511390Z setting job-id=36100811589 2025-01-24T03:38:17.6511950Z setting job-name=cuda12.4-py3.10-gcc9-sm86 / test (inductor_huggingface, 1, 1, linux.g5.4xlarge.nvidia.gpu) 2025-01-24T03:38:17.6626197Z ##[group]Run python3 -m pip install psutil==5.9.1 nvidia-ml-py==11.525.84 dataclasses_json==0.6.7 2025-01-24T03:38:17.6626945Z python3 -m pip install psutil==5.9.1 nvidia-ml-py==11.525.84 dataclasses_json==0.6.7 2025-01-24T03:38:17.6627504Z python3 -m tools.stats.monitor > usage_log.txt 2>&1 & 2025-01-24T03:38:17.6627967Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-01-24T03:38:17.6636978Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:38:17.6637339Z env: 2025-01-24T03:38:17.6637563Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:38:17.6637895Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:38:17.6638240Z JOB_ID: 36100811589 2025-01-24T03:38:17.6638695Z JOB_NAME: cuda12.4-py3.10-gcc9-sm86 / test (inductor_huggingface, 1, 1, linux.g5.4xlarge.nvidia.gpu) 2025-01-24T03:38:17.6639197Z WORKFLOW_NAME: inductor 2025-01-24T03:38:17.6639464Z WORKFLOW_RUN_ID: 12940917610 2025-01-24T03:38:17.6639776Z ##[endgroup] 2025-01-24T03:38:17.9341829Z Defaulting to user installation because normal site-packages is not writeable 2025-01-24T03:38:18.3207250Z Collecting psutil==5.9.1 2025-01-24T03:38:18.3490453Z Downloading psutil-5.9.1-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (281 kB) 2025-01-24T03:38:18.3901093Z Collecting nvidia-ml-py==11.525.84 2025-01-24T03:38:18.3938301Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-01-24T03:38:18.4575387Z Collecting dataclasses_json==0.6.7 2025-01-24T03:38:18.4612935Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-01-24T03:38:18.4937021Z Collecting typing-inspect<1,>=0.4.0 2025-01-24T03:38:18.5075030Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-01-24T03:38:18.6207315Z Collecting marshmallow<4.0.0,>=3.18.0 2025-01-24T03:38:18.6328162Z Downloading marshmallow-3.26.0-py3-none-any.whl (50 kB) 2025-01-24T03:38:18.6889889Z Collecting packaging>=17.0 2025-01-24T03:38:18.7013861Z Downloading packaging-24.2-py3-none-any.whl (65 kB) 2025-01-24T03:38:18.7236407Z Collecting mypy-extensions>=0.3.0 2025-01-24T03:38:18.7354691Z Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB) 2025-01-24T03:38:18.7787610Z Collecting typing-extensions>=3.7.4 2025-01-24T03:38:18.7870065Z Downloading typing_extensions-4.12.2-py3-none-any.whl (37 kB) 2025-01-24T03:38:18.8759582Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-01-24T03:38:19.1258055Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.0 mypy-extensions-1.0.0 nvidia-ml-py-11.525.84 packaging-24.2 psutil-5.9.1 typing-extensions-4.12.2 typing-inspect-0.9.0 2025-01-24T03:38:19.3251256Z Prepare all required actions 2025-01-24T03:38:19.3251617Z Getting action download info 2025-01-24T03:38:19.4432606Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-01-24T03:38:19.6906916Z Download action repository 'actions/download-artifact@v4' (SHA:fa0a91b85d4f404e444e00e005971372dc801d16) 2025-01-24T03:38:19.9350281Z ##[group]Run ./.github/actions/download-build-artifacts 2025-01-24T03:38:19.9350771Z with: 2025-01-24T03:38:19.9351052Z name: linux-focal-cuda12.4-py3.10-gcc9-sm86 2025-01-24T03:38:19.9351482Z s3-bucket: gha-artifacts 2025-01-24T03:38:19.9351789Z env: 2025-01-24T03:38:19.9352076Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:38:19.9352632Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:38:19.9353120Z ##[endgroup] 2025-01-24T03:38:19.9386336Z ##[group]Run seemethere/download-artifact-s3@v4 2025-01-24T03:38:19.9386676Z with: 2025-01-24T03:38:19.9386971Z name: linux-focal-cuda12.4-py3.10-gcc9-sm86 2025-01-24T03:38:19.9387311Z s3-bucket: gha-artifacts 2025-01-24T03:38:19.9387578Z region: us-east-1 2025-01-24T03:38:19.9387813Z env: 2025-01-24T03:38:19.9388035Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:38:19.9388382Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:38:19.9388743Z ##[endgroup] 2025-01-24T03:38:20.3930019Z (node:54207) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-01-24T03:38:20.3930481Z 2025-01-24T03:38:20.3930669Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-01-24T03:38:20.3931184Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-01-24T03:38:20.3931710Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-01-24T03:38:20.6026878Z Found 1 objects with prefix pytorch/pytorch/12940917610/linux-focal-cuda12.4-py3.10-gcc9-sm86/ 2025-01-24T03:38:20.6027607Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-01-24T03:38:35.8777630Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-01-24T03:38:35.8783328Z Artifact download has finished successfully 2025-01-24T03:38:35.9147184Z ##[group]Run unzip -o artifacts.zip 2025-01-24T03:38:35.9159530Z unzip -o artifacts.zip 2025-01-24T03:38:35.9168286Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:38:35.9168654Z env: 2025-01-24T03:38:35.9168872Z 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2025-01-24T03:38:47.1657815Z creating: .additional_ci_files/ 2025-01-24T03:38:47.1752558Z inflating: .additional_ci_files/test-times.json 2025-01-24T03:38:47.2121016Z inflating: .additional_ci_files/test-class-times.json 2025-01-24T03:38:47.2158433Z ##[group]Run rm artifacts.zip 2025-01-24T03:38:47.2158743Z rm artifacts.zip 2025-01-24T03:38:47.2167580Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:38:47.2167943Z env: 2025-01-24T03:38:47.2168162Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:38:47.2168493Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:38:47.2168842Z ##[endgroup] 2025-01-24T03:38:47.3680185Z ##[group]Run df -H 2025-01-24T03:38:47.3680449Z df -H 2025-01-24T03:38:47.3688974Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:38:47.3689337Z env: 2025-01-24T03:38:47.3689555Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:38:47.3689882Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:38:47.3690230Z ##[endgroup] 2025-01-24T03:38:47.3739081Z Filesystem Size Used Avail Use% Mounted on 2025-01-24T03:38:47.3739607Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-01-24T03:38:47.3739952Z tmpfs 34G 0 34G 0% /dev/shm 2025-01-24T03:38:47.3740448Z tmpfs 14G 553k 14G 1% /run 2025-01-24T03:38:47.3740776Z /dev/nvme0n1p1 161G 59G 103G 37% / 2025-01-24T03:38:47.3741109Z tmpfs 34G 13k 34G 1% /tmp 2025-01-24T03:38:47.3741447Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-01-24T03:38:47.3741809Z tmpfs 6.7G 0 6.7G 0% /run/user/0 2025-01-24T03:38:47.3774357Z Prepare all required actions 2025-01-24T03:38:47.3774727Z Getting action download info 2025-01-24T03:38:47.5247777Z ##[group]Run ./.github/actions/download-td-artifacts 2025-01-24T03:38:47.5248122Z with: 2025-01-24T03:38:47.5248331Z env: 2025-01-24T03:38:47.5248545Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:38:47.5248868Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:38:47.5249214Z ##[endgroup] 2025-01-24T03:38:47.5280605Z ##[group]Run seemethere/download-artifact-s3@v4 2025-01-24T03:38:47.5280935Z with: 2025-01-24T03:38:47.5281146Z name: td_results 2025-01-24T03:38:47.5281405Z s3-bucket: gha-artifacts 2025-01-24T03:38:47.5281663Z region: us-east-1 2025-01-24T03:38:47.5281891Z env: 2025-01-24T03:38:47.5282104Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:38:47.5282435Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:38:47.5282782Z ##[endgroup] 2025-01-24T03:38:47.9716018Z (node:54227) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-01-24T03:38:47.9716481Z 2025-01-24T03:38:47.9716679Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-01-24T03:38:47.9717193Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-01-24T03:38:47.9717723Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-01-24T03:38:48.0629364Z Found 0 objects with prefix pytorch/pytorch/12940917610/td_results/ 2025-01-24T03:38:48.0636050Z Artifact download has finished successfully 2025-01-24T03:38:48.0978311Z ##[group]Run mkdir -p .additional_ci_files 2025-01-24T03:38:48.0978699Z mkdir -p .additional_ci_files 2025-01-24T03:38:48.0979129Z mv td_results.json .additional_ci_files/td_results.json || true 2025-01-24T03:38:48.0988208Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:38:48.0988573Z env: 2025-01-24T03:38:48.0988787Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:38:48.0989124Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:38:48.0989466Z ##[endgroup] 2025-01-24T03:38:48.1047801Z mv: cannot stat 'td_results.json': No such file or directory 2025-01-24T03:38:48.1080345Z ##[group]Run .github/scripts/parse_ref.py 2025-01-24T03:38:48.1080709Z .github/scripts/parse_ref.py 2025-01-24T03:38:48.1088790Z shell: /usr/bin/bash -e {0} 2025-01-24T03:38:48.1089052Z env: 2025-01-24T03:38:48.1089264Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:38:48.1089595Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:38:48.1089934Z ##[endgroup] 2025-01-24T03:38:48.1420884Z Prepare all required actions 2025-01-24T03:38:48.1421677Z Getting action download info 2025-01-24T03:38:48.2452993Z ##[group]Run ./.github/actions/filter-test-configs 2025-01-24T03:38:48.2453339Z with: 2025-01-24T03:38:48.2453729Z github-token: *** 2025-01-24T03:38:48.2455336Z 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"}]} 2025-01-24T03:38:48.2457247Z job-name: cuda12.4-py3.10-gcc9-sm86 / test (inductor_huggingface, 1, 1, linux.g5.4xlarge.nvidia.gpu) 2025-01-24T03:38:48.2457748Z env: 2025-01-24T03:38:48.2458175Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:38:48.2458690Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:38:48.2459039Z ##[endgroup] 2025-01-24T03:38:48.2496587Z ##[group]Run nick-fields/retry@v3.0.0 2025-01-24T03:38:48.2496885Z with: 2025-01-24T03:38:48.2497093Z shell: bash 2025-01-24T03:38:48.2497313Z timeout_minutes: 10 2025-01-24T03:38:48.2497560Z max_attempts: 5 2025-01-24T03:38:48.2497801Z retry_wait_seconds: 30 2025-01-24T03:38:48.2498531Z 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==6.0.1 2025-01-24T03:38:48.2499329Z polling_interval_seconds: 1 2025-01-24T03:38:48.2499602Z warning_on_retry: true 2025-01-24T03:38:48.2499865Z continue_on_error: false 2025-01-24T03:38:48.2500125Z env: 2025-01-24T03:38:48.2500338Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:38:48.2500671Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:38:48.2501179Z GITHUB_TOKEN: *** 2025-01-24T03:38:48.2501423Z ##[endgroup] 2025-01-24T03:38:48.3474139Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.1 2025-01-24T03:38:48.5777083Z Defaulting to user installation because normal site-packages is not writeable 2025-01-24T03:38:48.7044738Z Collecting requests==2.27.1 2025-01-24T03:38:48.7323288Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-01-24T03:38:48.9070187Z Collecting pyyaml==6.0.1 2025-01-24T03:38:48.9207308Z Downloading PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (738 kB) 2025-01-24T03:38:48.9477393Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-01-24T03:38:48.9931976Z Collecting certifi>=2017.4.17 2025-01-24T03:38:48.9986192Z Downloading certifi-2024.12.14-py3-none-any.whl (164 kB) 2025-01-24T03:38:49.0035860Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-01-24T03:38:49.3388485Z Collecting charset-normalizer~=2.0.0 2025-01-24T03:38:49.3446064Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-01-24T03:38:49.4327882Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-01-24T03:38:49.5438919Z Successfully installed certifi-2024.12.14 charset-normalizer-2.0.12 pyyaml-6.0.1 requests-2.27.1 2025-01-24T03:38:50.3270508Z Command completed after 1 attempt(s). 2025-01-24T03:38:50.3337541Z ##[group]Run set -x 2025-01-24T03:38:50.3337820Z set -x 2025-01-24T03:38:50.3338059Z  2025-01-24T03:38:50.3338433Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-01-24T03:38:50.3338899Z # in runner workspace 2025-01-24T03:38:50.3339285Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-01-24T03:38:50.3347986Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:38:50.3348576Z env: 2025-01-24T03:38:50.3348809Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:38:50.3349154Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:38:50.3349495Z ##[endgroup] 2025-01-24T03:38:50.3380195Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-01-24T03:38:50.3616965Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-01-24T03:38:50.3617405Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-01-24T03:38:50.3617746Z echo "Job name: ${JOB_NAME}" 2025-01-24T03:38:50.3618044Z  2025-01-24T03:38:50.3618429Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-01-24T03:38:50.3618896Z # in runner workspace 2025-01-24T03:38:50.3619312Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-01-24T03:38:50.3619776Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-01-24T03:38:50.3620124Z  --job-name "${JOB_NAME}" \ 2025-01-24T03:38:50.3622041Z  --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"}]}" \ 2025-01-24T03:38:50.3623768Z  --selected-test-configs "" \ 2025-01-24T03:38:50.3624108Z  --pr-number "${PR_NUMBER}" \ 2025-01-24T03:38:50.3624420Z  --tag "${TAG}" \ 2025-01-24T03:38:50.3624722Z  --event-name "${EVENT_NAME}" \ 2025-01-24T03:38:50.3625058Z  --schedule "${SCHEDULE}" \ 2025-01-24T03:38:50.3625380Z  --branch "${HEAD_BRANCH}" 2025-01-24T03:38:50.3633918Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:38:50.3634293Z env: 2025-01-24T03:38:50.3634520Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:38:50.3634856Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:38:50.3635407Z GITHUB_TOKEN: *** 2025-01-24T03:38:50.3635877Z JOB_NAME: cuda12.4-py3.10-gcc9-sm86 / test (inductor_huggingface, 1, 1, linux.g5.4xlarge.nvidia.gpu) 2025-01-24T03:38:50.3636386Z PR_NUMBER: 2025-01-24T03:38:50.3636628Z TAG: ciflow/inductor/145539 2025-01-24T03:38:50.3636943Z EVENT_NAME: push 2025-01-24T03:38:50.3637212Z SCHEDULE: 2025-01-24T03:38:50.3637436Z HEAD_BRANCH: 2025-01-24T03:38:50.3637670Z ##[endgroup] 2025-01-24T03:38:50.3664020Z Workflow: inductor 2025-01-24T03:38:50.3664620Z Job name: cuda12.4-py3.10-gcc9-sm86 / test (inductor_huggingface, 1, 1, linux.g5.4xlarge.nvidia.gpu) 2025-01-24T03:38:50.5792081Z INFO:root:Found no test-config label on the PR, so all test configs are included 2025-01-24T03:38:50.6941150Z ##[group]Run echo "Filtered matrix:" 2025-01-24T03:38:50.6941509Z echo "Filtered matrix:" 2025-01-24T03:38:50.6943170Z 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"}]}" 2025-01-24T03:38:50.6944813Z  2025-01-24T03:38:50.6945025Z echo 2025-01-24T03:38:50.6945307Z echo "Is the current job unstable? False" 2025-01-24T03:38:50.6945641Z  2025-01-24T03:38:50.6945854Z echo 2025-01-24T03:38:50.6946318Z echo "Is keep-going label set? False" 2025-01-24T03:38:50.6946637Z  2025-01-24T03:38:50.6946857Z echo 2025-01-24T03:38:50.6947098Z echo "Renabled issues? " 2025-01-24T03:38:50.6955799Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:38:50.6956158Z env: 2025-01-24T03:38:50.6956364Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:38:50.6956690Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:38:50.6957034Z ##[endgroup] 2025-01-24T03:38:50.6984761Z Filtered matrix: 2025-01-24T03:38:50.6986671Z {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}]} 2025-01-24T03:38:50.6988388Z 2025-01-24T03:38:50.6988515Z Is the current job unstable? False 2025-01-24T03:38:50.6989809Z 2025-01-24T03:38:50.6989924Z Is keep-going label set? False 2025-01-24T03:38:50.6990120Z 2025-01-24T03:38:50.6990220Z Renabled issues? 2025-01-24T03:38:50.7031463Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-01-24T03:38:50.7031957Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-01-24T03:38:50.7040026Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T03:38:50.7040383Z env: 2025-01-24T03:38:50.7040596Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:38:50.7040924Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:38:50.7041268Z JOB_TIMEOUT: 240 2025-01-24T03:38:50.7041490Z ##[endgroup] 2025-01-24T03:38:50.7116260Z ##[group]Run set -x 2025-01-24T03:38:50.7116600Z set -x 2025-01-24T03:38:50.7116834Z  2025-01-24T03:38:50.7117087Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-01-24T03:38:50.7117480Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-01-24T03:38:50.7117881Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-01-24T03:38:50.7118237Z  TEST_COMMAND=.ci/onnx/test.sh 2025-01-24T03:38:50.7118538Z else 2025-01-24T03:38:50.7118796Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-01-24T03:38:50.7119102Z fi 2025-01-24T03:38:50.7119321Z  2025-01-24T03:38:50.7119594Z # Leaving 1GB for the runner and other things 2025-01-24T03:38:50.7120140Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-01-24T03:38:50.7120934Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-01-24T03:38:50.7121601Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-01-24T03:38:50.7122114Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-01-24T03:38:50.7122509Z  2025-01-24T03:38:50.7122792Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-01-24T03:38:50.7123133Z  SHM_OPTS= 2025-01-24T03:38:50.7123395Z  JENKINS_USER= 2025-01-24T03:38:50.7123743Z  # ensure that docker container cleanly exits in 12 hours 2025-01-24T03:38:50.7124197Z  # if for some reason cleanup action doesn't stop container 2025-01-24T03:38:50.7124583Z  # when job is cancelled 2025-01-24T03:38:50.7124895Z  DOCKER_SHELL_CMD="sleep 12h" 2025-01-24T03:38:50.7125196Z  2025-01-24T03:38:50.7125559Z  # since some steps are skipped on s390x, if they are necessary, run them here 2025-01-24T03:38:50.7126077Z  env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-01-24T03:38:50.7126500Z  env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-01-24T03:38:50.7126853Z else 2025-01-24T03:38:50.7127114Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-01-24T03:38:50.7127454Z  JENKINS_USER="--user jenkins" 2025-01-24T03:38:50.7127770Z  DOCKER_SHELL_CMD= 2025-01-24T03:38:50.7128030Z fi 2025-01-24T03:38:50.7128252Z  2025-01-24T03:38:50.7128588Z # detached container should get cleaned up by teardown_ec2_linux 2025-01-24T03:38:50.7129095Z # TODO: Stop building test binaries as part of the build phase 2025-01-24T03:38:50.7129669Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-01-24T03:38:50.7130175Z # shellcheck disable=SC2086,SC2090 2025-01-24T03:38:50.7130505Z container_name=$(docker run \ 2025-01-24T03:38:50.7130811Z  ${GPU_FLAG:-} \ 2025-01-24T03:38:50.7131120Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-01-24T03:38:50.7131462Z  -e BUILD_ENVIRONMENT \ 2025-01-24T03:38:50.7131761Z  -e PR_NUMBER \ 2025-01-24T03:38:50.7132031Z  -e GITHUB_ACTIONS \ 2025-01-24T03:38:50.7132324Z  -e GITHUB_REPOSITORY \ 2025-01-24T03:38:50.7132765Z  -e GITHUB_WORKFLOW \ 2025-01-24T03:38:50.7133051Z  -e GITHUB_JOB \ 2025-01-24T03:38:50.7133323Z  -e GITHUB_RUN_ID \ 2025-01-24T03:38:50.7133598Z  -e GITHUB_RUN_NUMBER \ 2025-01-24T03:38:50.7133896Z  -e GITHUB_RUN_ATTEMPT \ 2025-01-24T03:38:50.7134189Z  -e JOB_ID \ 2025-01-24T03:38:50.7134449Z  -e JOB_NAME \ 2025-01-24T03:38:50.7134713Z  -e BASE_SHA \ 2025-01-24T03:38:50.7134968Z  -e BRANCH \ 2025-01-24T03:38:50.7135219Z  -e SHA1 \ 2025-01-24T03:38:50.7135477Z  -e AWS_DEFAULT_REGION \ 2025-01-24T03:38:50.7135885Z  -e IN_WHEEL_TEST \ 2025-01-24T03:38:50.7136168Z  -e SHARD_NUMBER \ 2025-01-24T03:38:50.7136439Z  -e TEST_CONFIG \ 2025-01-24T03:38:50.7136717Z  -e NUM_TEST_SHARDS \ 2025-01-24T03:38:50.7146180Z  -e REENABLED_ISSUES \ 2025-01-24T03:38:50.7146510Z  -e CONTINUE_THROUGH_ERROR \ 2025-01-24T03:38:50.7146840Z  -e VERBOSE_TEST_LOGS \ 2025-01-24T03:38:50.7147138Z  -e TEST_SHOWLOCALS \ 2025-01-24T03:38:50.7147435Z  -e NO_TEST_TIMEOUT \ 2025-01-24T03:38:50.7147718Z  -e NO_TD \ 2025-01-24T03:38:50.7147987Z  -e TD_DISTRIBUTED \ 2025-01-24T03:38:50.7148276Z  -e PR_LABELS \ 2025-01-24T03:38:50.7148578Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-01-24T03:38:50.7148923Z  -e SCCACHE_BUCKET \ 2025-01-24T03:38:50.7149220Z  -e SCCACHE_REGION \ 2025-01-24T03:38:50.7149502Z  -e XLA_CUDA \ 2025-01-24T03:38:50.7149801Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-01-24T03:38:50.7150164Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-01-24T03:38:50.7150539Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-01-24T03:38:50.7150908Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-01-24T03:38:50.7151262Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-01-24T03:38:50.7151604Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-01-24T03:38:50.7151928Z  -e DASHBOARD_TAG \ 2025-01-24T03:38:50.7152208Z  -e IS_A100_RUNNER \ 2025-01-24T03:38:50.7152568Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-01-24T03:38:50.7152932Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-01-24T03:38:50.7153350Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-01-24T03:38:50.7153754Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-01-24T03:38:50.7154139Z  --security-opt seccomp=unconfined \ 2025-01-24T03:38:50.7154483Z  --cap-add=SYS_PTRACE \ 2025-01-24T03:38:50.7154790Z  --ipc=host \ 2025-01-24T03:38:50.7155053Z  ${SHM_OPTS} \ 2025-01-24T03:38:50.7155314Z  --tty \ 2025-01-24T03:38:50.7155558Z  --detach \ 2025-01-24T03:38:50.7155830Z  --name="${container_name}" \ 2025-01-24T03:38:50.7156143Z  ${JENKINS_USER} \ 2025-01-24T03:38:50.7156496Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-01-24T03:38:50.7156893Z  -w /var/lib/jenkins/workspace \ 2025-01-24T03:38:50.7157264Z  "${DOCKER_IMAGE}" \ 2025-01-24T03:38:50.7157543Z  ${DOCKER_SHELL_CMD} 2025-01-24T03:38:50.7157813Z ) 2025-01-24T03:38:50.7158115Z # Propagate download.pytorch.org IP to container 2025-01-24T03:38:50.7158746Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-01-24T03:38:50.7159412Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-01-24T03:38:50.7159814Z  2025-01-24T03:38:50.7160082Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-01-24T03:38:50.7160633Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-01-24T03:38:50.7161128Z fi 2025-01-24T03:38:50.7161464Z  2025-01-24T03:38:50.7161939Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-01-24T03:38:50.7170082Z shell: /usr/bin/bash -e {0} 2025-01-24T03:38:50.7170340Z env: 2025-01-24T03:38:50.7170554Z GIT_DEFAULT_BRANCH: main 2025-01-24T03:38:50.7170886Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:38:50.7171317Z BUILD_ENVIRONMENT: linux-focal-cuda12.4-py3.10-gcc9-sm86 2025-01-24T03:38:50.7171676Z PR_NUMBER: 2025-01-24T03:38:50.7171913Z GITHUB_REPOSITORY: pytorch/pytorch 2025-01-24T03:38:50.7172220Z GITHUB_WORKFLOW: inductor 2025-01-24T03:38:50.7172481Z GITHUB_JOB: test 2025-01-24T03:38:50.7172835Z GITHUB_RUN_ID: 12940917610 2025-01-24T03:38:50.7173106Z GITHUB_RUN_NUMBER: 114357 2025-01-24T03:38:50.7173367Z GITHUB_RUN_ATTEMPT: 1 2025-01-24T03:38:50.7173613Z JOB_ID: 36100811589 2025-01-24T03:38:50.7174067Z JOB_NAME: cuda12.4-py3.10-gcc9-sm86 / test (inductor_huggingface, 1, 1, linux.g5.4xlarge.nvidia.gpu) 2025-01-24T03:38:50.7174570Z BRANCH: 2025-01-24T03:38:50.7174823Z SHA1: d087145b9259b4cfbcb758dc0bca6a6e5d75d08f 2025-01-24T03:38:50.7175186Z BASE_SHA: d087145b9259b4cfbcb758dc0bca6a6e5d75d08f 2025-01-24T03:38:50.7175530Z TEST_CONFIG: inductor_huggingface 2025-01-24T03:38:50.7175816Z SHARD_NUMBER: 1 2025-01-24T03:38:50.7176048Z NUM_TEST_SHARDS: 1 2025-01-24T03:38:50.7176290Z REENABLED_ISSUES: 2025-01-24T03:38:50.7176536Z CONTINUE_THROUGH_ERROR: False 2025-01-24T03:38:50.7176814Z VERBOSE_TEST_LOGS: False 2025-01-24T03:38:50.7177102Z TEST_SHOWLOCALS: False 2025-01-24T03:38:50.7177384Z NO_TEST_TIMEOUT: False 2025-01-24T03:38:50.7177627Z NO_TD: False 2025-01-24T03:38:50.7177857Z TD_DISTRIBUTED: False 2025-01-24T03:38:50.7178165Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-01-24T03:38:50.7178512Z SCCACHE_REGION: us-east-1 2025-01-24T03:38:50.7178770Z SHM_SIZE: 2g 2025-01-24T03:38:50.7179541Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks:bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:38:50.7180370Z XLA_CUDA: 2025-01-24T03:38:50.7180710Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-01-24T03:38:50.7181145Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-01-24T03:38:50.7181456Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-01-24T03:38:50.7181751Z DASHBOARD_TAG: 2025-01-24T03:38:50.7182146Z HUGGING_FACE_HUB_TOKEN: *** 2025-01-24T03:38:50.7182544Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-01-24T03:38:50.7182823Z IS_A100_RUNNER: 0 2025-01-24T03:38:50.7183276Z ARTIFACTS_FILE_SUFFIX: test-inductor_huggingface-1-1-linux.g5.4xlarge.nvidia.gpu_36100811589 2025-01-24T03:38:50.7183784Z ##[endgroup] 2025-01-24T03:38:50.7210584Z + [[ inductor_huggingface == \m\u\l\t\i\g\p\u ]] 2025-01-24T03:38:50.7211010Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 == *onnx* ]] 2025-01-24T03:38:50.7211389Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-01-24T03:38:50.7214093Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-01-24T03:38:50.7236770Z + TOTAL_AVAILABLE_MEMORY_IN_GB='61.094 ' 2025-01-24T03:38:50.7237105Z + TOTAL_MEMORY_WITH_SWAP=64 2025-01-24T03:38:50.7237461Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 == *\s\3\9\0\x* ]] 2025-01-24T03:38:50.7237840Z + SHM_OPTS=--shm-size=2g 2025-01-24T03:38:50.7238115Z + JENKINS_USER='--user jenkins' 2025-01-24T03:38:50.7238390Z + DOCKER_SHELL_CMD= 2025-01-24T03:38:50.7246923Z +++ nproc --ignore=2 2025-01-24T03:38:50.7278098Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=14 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e IS_A100_RUNNER -e ARTIFACTS_FILE_SUFFIX --memory=61g --memory-swap=64g --env-file=/tmp/github_env_12940917610 --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/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks:bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T03:39:02.6493709Z + container_name=1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T03:39:02.6496410Z + grep download.pytorch.org /etc/hosts 2025-01-24T03:39:02.6498657Z + docker exec -i 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 sudo bash -c '/bin/cat >> /etc/hosts' 2025-01-24T03:39:02.7974582Z + echo DOCKER_CONTAINER_ID=1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T03:39:02.7975209Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 == *\s\3\9\0\x* ]] 2025-01-24T03:39:02.7979432Z ++ echo dist/torch-2.7.0a0+gitd087145-cp310-cp310-linux_x86_64.whl 2025-01-24T03:39:02.7982659Z + docker exec -t 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 sh -c 'python3 -m pip install dist/torch-2.7.0a0+gitd087145-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-01-24T03:39:03.1994826Z Processing ./dist/torch-2.7.0a0+gitd087145-cp310-cp310-linux_x86_64.whl (from torch==2.7.0a0+gitd087145) 2025-01-24T03:39:03.5323878Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.7.0a0+gitd087145->torch==2.7.0a0+gitd087145) (3.16.1) 2025-01-24T03:39:03.5327456Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.7.0a0+gitd087145->torch==2.7.0a0+gitd087145) (4.12.2) 2025-01-24T03:39:03.5330790Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.7.0a0+gitd087145->torch==2.7.0a0+gitd087145) (2.8.8) 2025-01-24T03:39:03.5334331Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.7.0a0+gitd087145->torch==2.7.0a0+gitd087145) (3.1.5) 2025-01-24T03:39:03.5337783Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.7.0a0+gitd087145->torch==2.7.0a0+gitd087145) (2024.10.0) 2025-01-24T03:39:03.5343222Z Requirement already satisfied: sympy==1.13.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.7.0a0+gitd087145->torch==2.7.0a0+gitd087145) (1.13.1) 2025-01-24T03:39:03.5360220Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy==1.13.1->torch==2.7.0a0+gitd087145->torch==2.7.0a0+gitd087145) (1.3.0) 2025-01-24T03:39:03.5373872Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.7.0a0+gitd087145->torch==2.7.0a0+gitd087145) (3.3.0) 2025-01-24T03:39:03.5392840Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.7.0a0+gitd087145->torch==2.7.0a0+gitd087145) (1.22.4) 2025-01-24T03:39:03.5782345Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.7.0a0+gitd087145->torch==2.7.0a0+gitd087145) (3.0.2) 2025-01-24T03:39:04.1830053Z Installing collected packages: torch 2025-01-24T03:39:14.7656990Z 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. 2025-01-24T03:39:14.7658315Z timm 1.0.14 requires torchvision, which is not installed. 2025-01-24T03:39:14.7658832Z Successfully installed torch-2.7.0a0+gitd087145 2025-01-24T03:39:14.8459453Z + export TERM=vt100 2025-01-24T03:39:14.8459727Z + TERM=vt100 2025-01-24T03:39:14.8462368Z ++ dirname .ci/pytorch/test.sh 2025-01-24T03:39:14.8473460Z + source .ci/pytorch/common.sh 2025-01-24T03:39:14.8477117Z +++ dirname .ci/pytorch/common.sh 2025-01-24T03:39:14.8486336Z ++ source .ci/pytorch/common_utils.sh 2025-01-24T03:39:14.8488414Z +++ declare -f -t trap_add 2025-01-24T03:39:14.8494564Z ++ set -ex -o pipefail 2025-01-24T03:39:14.8495201Z ++ [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 == *rocm* ]] 2025-01-24T03:39:14.8495588Z ++ BUILD_TEST_LIBTORCH=0 2025-01-24T03:39:14.8496404Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 != *rocm* ]] 2025-01-24T03:39:14.8496830Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 != *s390x* ]] 2025-01-24T03:39:14.8497210Z + [[ -d /var/lib/jenkins/workspace ]] 2025-01-24T03:39:14.8500182Z ++ stat -c %u /var/lib/jenkins/workspace 2025-01-24T03:39:14.8518394Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-01-24T03:39:14.8518733Z + trap_add cleanup_workspace EXIT 2025-01-24T03:39:14.8519050Z + trap_add_cmd=cleanup_workspace 2025-01-24T03:39:14.8519338Z + shift 2025-01-24T03:39:14.8519573Z + for trap_add_name in "$@" 2025-01-24T03:39:14.8526390Z +++ trap -p EXIT 2025-01-24T03:39:14.8529899Z ++ eval 'extract_trap_cmd ' 2025-01-24T03:39:14.8530196Z +++ extract_trap_cmd 2025-01-24T03:39:14.8530466Z +++ printf '%s\n' '' 2025-01-24T03:39:14.8530741Z ++ printf '%s\n' cleanup_workspace 2025-01-24T03:39:14.8533135Z + trap -- ' 2025-01-24T03:39:14.8533479Z cleanup_workspace' EXIT 2025-01-24T03:39:14.8533797Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-01-24T03:39:15.5814864Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-01-24T03:39:15.5835528Z + echo 'Environment variables:' 2025-01-24T03:39:15.5835943Z Environment variables: 2025-01-24T03:39:15.5836235Z + env 2025-01-24T03:39:15.5848122Z INSTALLED_DB=yes 2025-01-24T03:39:15.5848679Z NV_LIBCUBLAS_VERSION=12.4.5.8-1 2025-01-24T03:39:15.5849154Z NVIDIA_VISIBLE_DEVICES=all 2025-01-24T03:39:15.5849532Z NV_NVML_DEV_VERSION=12.4.127-1 2025-01-24T03:39:15.5850093Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-01-24T03:39:15.5850719Z CONTINUE_THROUGH_ERROR=False 2025-01-24T03:39:15.5851077Z NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4 2025-01-24T03:39:15.5851450Z NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1 2025-01-24T03:39:15.5851826Z BUILD_ENVIRONMENT=linux-focal-cuda12.4-py3.10-gcc9-sm86 2025-01-24T03:39:15.5852191Z HOSTNAME=1504fe673d1c 2025-01-24T03:39:15.5852933Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_2e51baa2-45e7-45ee-8d9e-6faaef45ef10 2025-01-24T03:39:15.5853625Z GITHUB_ACTION=__self 2025-01-24T03:39:15.5853979Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-01-24T03:39:15.5858116Z NVIDIA_REQUIRE_CUDA=cuda>=12.4 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536 2025-01-24T03:39:15.5862386Z NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1 2025-01-24T03:39:15.5862740Z NV_NVTX_VERSION=12.4.127-1 2025-01-24T03:39:15.5863022Z GITHUB_RUN_NUMBER=114357 2025-01-24T03:39:15.5863305Z TEST_CONFIG=inductor_huggingface 2025-01-24T03:39:15.5863608Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-01-24T03:39:15.5863932Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-01-24T03:39:15.5864247Z IS_A100_RUNNER=0 2025-01-24T03:39:15.5864503Z NV_CUDA_CUDART_DEV_VERSION=12.4.127-1 2025-01-24T03:39:15.5864819Z NV_LIBCUSPARSE_VERSION=12.3.1.170-1 2025-01-24T03:39:15.5865343Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-01-24T03:39:15.5865806Z NV_LIBNPP_VERSION=12.2.5.30-1 2025-01-24T03:39:15.5866119Z GITHUB_TRIGGERING_ACTOR=pytorch-bot[bot] 2025-01-24T03:39:15.5866485Z CMAKE_CUDA_COMPILER_LAUNCHER=/opt/cache/bin/sccache 2025-01-24T03:39:15.5866831Z GITHUB_REF_TYPE=tag 2025-01-24T03:39:15.5867097Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-01-24T03:39:15.5867374Z NCCL_VERSION=2.21.5-1 2025-01-24T03:39:15.5867681Z BASE_SHA=d087145b9259b4cfbcb758dc0bca6a6e5d75d08f 2025-01-24T03:39:15.5868016Z XLA_CUDA= 2025-01-24T03:39:15.5868344Z HUGGING_FACE_HUB_TOKEN=*** 2025-01-24T03:39:15.5870528Z *** 2025-01-24T03:39:15.5870770Z CARGO_NET_GIT_FETCH_WITH_CLI=true 2025-01-24T03:39:15.5871086Z GITHUB_REPOSITORY_ID=65600975 2025-01-24T03:39:15.5871370Z GITHUB_ACTIONS=true 2025-01-24T03:39:15.5871629Z NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:39:15.5871969Z NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1 2025-01-24T03:39:15.5872340Z NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1 2025-01-24T03:39:15.5872804Z SHA1=d087145b9259b4cfbcb758dc0bca6a6e5d75d08f 2025-01-24T03:39:15.5873168Z NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev 2025-01-24T03:39:15.5873528Z GITHUB_SHA=d087145b9259b4cfbcb758dc0bca6a6e5d75d08f 2025-01-24T03:39:15.5874118Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/tags/ciflow/inductor/145539 2025-01-24T03:39:15.5874654Z UCC_HOME=/usr 2025-01-24T03:39:15.5874903Z NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1 2025-01-24T03:39:15.5875208Z VERBOSE_TEST_LOGS=False 2025-01-24T03:39:15.5875473Z NVIDIA_PRODUCT_NAME=CUDA 2025-01-24T03:39:15.5875797Z NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4 2025-01-24T03:39:15.5876162Z GITHUB_REF=refs/tags/ciflow/inductor/145539 2025-01-24T03:39:15.5876508Z NV_CUDA_CUDART_VERSION=12.4.127-1 2025-01-24T03:39:15.5876798Z SHARD_NUMBER=1 2025-01-24T03:39:15.5877048Z GITHUB_REF_PROTECTED=false 2025-01-24T03:39:15.5877321Z HOME=/var/lib/jenkins 2025-01-24T03:39:15.5877627Z GITHUB_API_URL=https://api.github.com 2025-01-24T03:39:15.5877973Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-01-24T03:39:15.5878332Z UCX_COMMIT=7bb2722ff2187a0cad557ae4a6afa090569f83fb 2025-01-24T03:39:15.5878673Z CUDA_VERSION=12.4.1 2025-01-24T03:39:15.5878957Z NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1 2025-01-24T03:39:15.5879284Z NUM_TEST_SHARDS=1 2025-01-24T03:39:15.5879514Z UCX_HOME=/usr 2025-01-24T03:39:15.5879862Z NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1 2025-01-24T03:39:15.5880583Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_2e51baa2-45e7-45ee-8d9e-6faaef45ef10 2025-01-24T03:39:15.5881442Z JOB_NAME=cuda12.4-py3.10-gcc9-sm86 / test (inductor_huggingface, 1, 1, linux.g5.4xlarge.nvidia.gpu) 2025-01-24T03:39:15.5882236Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_2e51baa2-45e7-45ee-8d9e-6faaef45ef10 2025-01-24T03:39:15.5882998Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-01-24T03:39:15.5883471Z GITHUB_EVENT_NAME=push 2025-01-24T03:39:15.5883732Z DASHBOARD_TAG= 2025-01-24T03:39:15.5883979Z GITHUB_RUN_ID=12940917610 2025-01-24T03:39:15.5884291Z NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1 2025-01-24T03:39:15.5884659Z NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4 2025-01-24T03:39:15.5885307Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_2e51baa2-45e7-45ee-8d9e-6faaef45ef10 2025-01-24T03:39:15.5886072Z GITHUB_ACTOR=pytorch-bot[bot] 2025-01-24T03:39:15.5886373Z NV_LIBNPP_DEV_VERSION=12.2.5.30-1 2025-01-24T03:39:15.5886661Z PR_NUMBER= 2025-01-24T03:39:15.5886888Z GITHUB_RUN_ATTEMPT=1 2025-01-24T03:39:15.5887149Z ANACONDA_PYTHON_VERSION=3.10 2025-01-24T03:39:15.5887537Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-01-24T03:39:15.5887880Z TERM=vt100 2025-01-24T03:39:15.5888132Z NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1 2025-01-24T03:39:15.5888439Z INSTALLED_VISION=yes 2025-01-24T03:39:15.5888686Z BRANCH= 2025-01-24T03:39:15.5888909Z SCCACHE_REGION=us-east-1 2025-01-24T03:39:15.5889188Z OPENSSL_ROOT_DIR=/opt/openssl 2025-01-24T03:39:15.5889583Z LIBRARY_PATH=/usr/local/cuda/lib64/stubs 2025-01-24T03:39:15.5889894Z CUDA_PATH=/usr/local/cuda 2025-01-24T03:39:15.5890394Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-01-24T03:39:15.5890944Z GITHUB_SERVER_URL=https://github.com 2025-01-24T03:39:15.5891390Z UCC_COMMIT=20eae37090a4ce1b32bcce6144ccad0b49943e0b 2025-01-24T03:39:15.5891738Z REENABLED_ISSUES= 2025-01-24T03:39:15.5891970Z SHLVL=1 2025-01-24T03:39:15.5892183Z MAX_JOBS=14 2025-01-24T03:39:15.5892413Z NV_CUDA_LIB_VERSION=12.4.1-1 2025-01-24T03:39:15.5892685Z NVARCH=x86_64 2025-01-24T03:39:15.5892919Z GITHUB_ACTOR_ID=54816060 2025-01-24T03:39:15.5893257Z GITHUB_WORKFLOW_SHA=d087145b9259b4cfbcb758dc0bca6a6e5d75d08f 2025-01-24T03:39:15.5893652Z GITHUB_REF_NAME=ciflow/inductor/145539 2025-01-24T03:39:15.5893985Z NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4 2025-01-24T03:39:15.5894421Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-01-24T03:39:15.5894851Z GITHUB_JOB=test 2025-01-24T03:39:15.5895118Z NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4 2025-01-24T03:39:15.5895521Z LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 2025-01-24T03:39:15.5895896Z NO_TEST_TIMEOUT=False 2025-01-24T03:39:15.5896152Z TD_DISTRIBUTED=False 2025-01-24T03:39:15.5896430Z NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1 2025-01-24T03:39:15.5896751Z GITHUB_REPOSITORY=pytorch/pytorch 2025-01-24T03:39:15.5897064Z NV_NVPROF_VERSION=12.4.127-1 2025-01-24T03:39:15.5897346Z GITHUB_RETENTION_DAYS=90 2025-01-24T03:39:15.5897682Z OPENSSL_DIR=/opt/openssl 2025-01-24T03:39:15.5897959Z GITHUB_ACTION_REPOSITORY= 2025-01-24T03:39:15.5898678Z PATH=/opt/cache/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-01-24T03:39:15.5899418Z GITHUB_BASE_REF= 2025-01-24T03:39:15.5900042Z ARTIFACTS_FILE_SUFFIX=test-inductor_huggingface-1-1-linux.g5.4xlarge.nvidia.gpu_36100811589 2025-01-24T03:39:15.5900641Z NV_LIBNCCL_PACKAGE_NAME=libnccl2 2025-01-24T03:39:15.5900927Z CI=true 2025-01-24T03:39:15.5901150Z NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1 2025-01-24T03:39:15.5910416Z GITHUB_REPOSITORY_OWNER=pytorch 2025-01-24T03:39:15.5910725Z JOB_ID=36100811589 2025-01-24T03:39:15.5910981Z INSTALLED_PROTOBUF=yes 2025-01-24T03:39:15.5911260Z GITHUB_HEAD_REF= 2025-01-24T03:39:15.5911499Z GITHUB_ACTION_REF= 2025-01-24T03:39:15.5911810Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-01-24T03:39:15.5912171Z TEST_SHOWLOCALS=False 2025-01-24T03:39:15.5912523Z GITHUB_WORKFLOW=inductor 2025-01-24T03:39:15.5912807Z DEBIAN_FRONTEND=noninteractive 2025-01-24T03:39:15.5913400Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_2e51baa2-45e7-45ee-8d9e-6faaef45ef10 2025-01-24T03:39:15.5913998Z NO_TD=False 2025-01-24T03:39:15.5914239Z SKIP_SCCACHE_INITIALIZATION=1 2025-01-24T03:39:15.5914522Z _=/usr/bin/env 2025-01-24T03:39:15.5914846Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-01-24T03:39:15.6093525Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-01-24T03:39:15.6094111Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-01-24T03:39:15.6094676Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-01-24T03:39:15.6095449Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-01-24T03:39:15.6095884Z + BUILD_DIR=build 2025-01-24T03:39:15.6096143Z + BUILD_RENAMED_DIR=build_renamed 2025-01-24T03:39:15.6096436Z + BUILD_BIN_DIR=build/bin 2025-01-24T03:39:15.6096697Z + SHARD_NUMBER=1 2025-01-24T03:39:15.6096937Z + NUM_TEST_SHARDS=1 2025-01-24T03:39:15.6097188Z + export VALGRIND=ON 2025-01-24T03:39:15.6097451Z + VALGRIND=ON 2025-01-24T03:39:15.6097753Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 == *clang9* ]] 2025-01-24T03:39:15.6098177Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 == *xpu* ]] 2025-01-24T03:39:15.6098726Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 == *s390x* ]] 2025-01-24T03:39:15.6099086Z + [[ 0 == \1 ]] 2025-01-24T03:39:15.6099321Z + [[ False == \1 ]] 2025-01-24T03:39:15.6099620Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 != *bazel* ]] 2025-01-24T03:39:15.6101158Z ++ realpath build/custom_test_artifacts 2025-01-24T03:39:15.6115388Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-01-24T03:39:15.6115980Z + [[ -n '' ]] 2025-01-24T03:39:15.6116233Z + echo 'Environment variables' 2025-01-24T03:39:15.6116526Z Environment variables 2025-01-24T03:39:15.6116768Z + env 2025-01-24T03:39:15.6126396Z INSTALLED_DB=yes 2025-01-24T03:39:15.6126759Z NV_LIBCUBLAS_VERSION=12.4.5.8-1 2025-01-24T03:39:15.6127144Z NVIDIA_VISIBLE_DEVICES=all 2025-01-24T03:39:15.6127434Z NV_NVML_DEV_VERSION=12.4.127-1 2025-01-24T03:39:15.6127835Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-01-24T03:39:15.6128318Z CONTINUE_THROUGH_ERROR=False 2025-01-24T03:39:15.6128750Z NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4 2025-01-24T03:39:15.6129126Z NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1 2025-01-24T03:39:15.6129523Z BUILD_ENVIRONMENT=linux-focal-cuda12.4-py3.10-gcc9-sm86 2025-01-24T03:39:15.6129884Z HOSTNAME=1504fe673d1c 2025-01-24T03:39:15.6130442Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_2e51baa2-45e7-45ee-8d9e-6faaef45ef10 2025-01-24T03:39:15.6131258Z GITHUB_ACTION=__self 2025-01-24T03:39:15.6131651Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-01-24T03:39:15.6137091Z NVIDIA_REQUIRE_CUDA=cuda>=12.4 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536 2025-01-24T03:39:15.6143321Z NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1 2025-01-24T03:39:15.6143852Z NV_NVTX_VERSION=12.4.127-1 2025-01-24T03:39:15.6144248Z GITHUB_RUN_NUMBER=114357 2025-01-24T03:39:15.6144676Z TEST_CONFIG=inductor_huggingface 2025-01-24T03:39:15.6145103Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-01-24T03:39:15.6145560Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-01-24T03:39:15.6145998Z IS_A100_RUNNER=0 2025-01-24T03:39:15.6146259Z NV_CUDA_CUDART_DEV_VERSION=12.4.127-1 2025-01-24T03:39:15.6146575Z NV_LIBCUSPARSE_VERSION=12.3.1.170-1 2025-01-24T03:39:15.6147069Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-01-24T03:39:15.6147367Z NV_LIBNPP_VERSION=12.2.5.30-1 2025-01-24T03:39:15.6147883Z GITHUB_TRIGGERING_ACTOR=pytorch-bot[bot] 2025-01-24T03:39:15.6148251Z CMAKE_CUDA_COMPILER_LAUNCHER=/opt/cache/bin/sccache 2025-01-24T03:39:15.6148596Z GITHUB_REF_TYPE=tag 2025-01-24T03:39:15.6148854Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-01-24T03:39:15.6149132Z NCCL_VERSION=2.21.5-1 2025-01-24T03:39:15.6149423Z BASE_SHA=d087145b9259b4cfbcb758dc0bca6a6e5d75d08f 2025-01-24T03:39:15.6149755Z XLA_CUDA= 2025-01-24T03:39:15.6150085Z HUGGING_FACE_HUB_TOKEN=*** 2025-01-24T03:39:15.6150838Z *** 2025-01-24T03:39:15.6151072Z CARGO_NET_GIT_FETCH_WITH_CLI=true 2025-01-24T03:39:15.6151369Z GITHUB_REPOSITORY_ID=65600975 2025-01-24T03:39:15.6151653Z GITHUB_ACTIONS=true 2025-01-24T03:39:15.6152060Z NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T03:39:15.6152496Z NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1 2025-01-24T03:39:15.6152860Z NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1 2025-01-24T03:39:15.6153204Z SHA1=d087145b9259b4cfbcb758dc0bca6a6e5d75d08f 2025-01-24T03:39:15.6153550Z NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev 2025-01-24T03:39:15.6153911Z GITHUB_SHA=d087145b9259b4cfbcb758dc0bca6a6e5d75d08f 2025-01-24T03:39:15.6154494Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/tags/ciflow/inductor/145539 2025-01-24T03:39:15.6155016Z UCC_HOME=/usr 2025-01-24T03:39:15.6155263Z NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1 2025-01-24T03:39:15.6155554Z VERBOSE_TEST_LOGS=False 2025-01-24T03:39:15.6155819Z NVIDIA_PRODUCT_NAME=CUDA 2025-01-24T03:39:15.6156133Z NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4 2025-01-24T03:39:15.6156495Z GITHUB_REF=refs/tags/ciflow/inductor/145539 2025-01-24T03:39:15.6156811Z NV_CUDA_CUDART_VERSION=12.4.127-1 2025-01-24T03:39:15.6157093Z SHARD_NUMBER=1 2025-01-24T03:39:15.6157345Z GITHUB_REF_PROTECTED=false 2025-01-24T03:39:15.6157616Z HOME=/var/lib/jenkins 2025-01-24T03:39:15.6157900Z GITHUB_API_URL=https://api.github.com 2025-01-24T03:39:15.6158219Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-01-24T03:39:15.6158566Z UCX_COMMIT=7bb2722ff2187a0cad557ae4a6afa090569f83fb 2025-01-24T03:39:15.6158912Z CUDA_VERSION=12.4.1 2025-01-24T03:39:15.6159185Z NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1 2025-01-24T03:39:15.6159506Z NUM_TEST_SHARDS=1 2025-01-24T03:39:15.6159741Z UCX_HOME=/usr 2025-01-24T03:39:15.6160074Z NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1 2025-01-24T03:39:15.6160774Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_2e51baa2-45e7-45ee-8d9e-6faaef45ef10 2025-01-24T03:39:15.6161575Z JOB_NAME=cuda12.4-py3.10-gcc9-sm86 / test (inductor_huggingface, 1, 1, linux.g5.4xlarge.nvidia.gpu) 2025-01-24T03:39:15.6162356Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_2e51baa2-45e7-45ee-8d9e-6faaef45ef10 2025-01-24T03:39:15.6163099Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-01-24T03:39:15.6163569Z GITHUB_EVENT_NAME=push 2025-01-24T03:39:15.6163821Z DASHBOARD_TAG= 2025-01-24T03:39:15.6164052Z GITHUB_RUN_ID=12940917610 2025-01-24T03:39:15.6164460Z NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1 2025-01-24T03:39:15.6164903Z NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4 2025-01-24T03:39:15.6165556Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_2e51baa2-45e7-45ee-8d9e-6faaef45ef10 2025-01-24T03:39:15.6166199Z GITHUB_ACTOR=pytorch-bot[bot] 2025-01-24T03:39:15.6166489Z NV_LIBNPP_DEV_VERSION=12.2.5.30-1 2025-01-24T03:39:15.6166769Z PR_NUMBER= 2025-01-24T03:39:15.6166991Z GITHUB_RUN_ATTEMPT=1 2025-01-24T03:39:15.6167243Z VALGRIND=ON 2025-01-24T03:39:15.6167475Z ANACONDA_PYTHON_VERSION=3.10 2025-01-24T03:39:15.6167803Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-01-24T03:39:15.6168150Z TERM=vt100 2025-01-24T03:39:15.6168397Z NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1 2025-01-24T03:39:15.6168701Z INSTALLED_VISION=yes 2025-01-24T03:39:15.6168941Z BRANCH= 2025-01-24T03:39:15.6169158Z SCCACHE_REGION=us-east-1 2025-01-24T03:39:15.6169436Z OPENSSL_ROOT_DIR=/opt/openssl 2025-01-24T03:39:15.6169843Z LIBRARY_PATH=/usr/local/cuda/lib64/stubs 2025-01-24T03:39:15.6170161Z CUDA_PATH=/usr/local/cuda 2025-01-24T03:39:15.6170659Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-01-24T03:39:15.6171254Z GITHUB_SERVER_URL=https://github.com 2025-01-24T03:39:15.6171614Z UCC_COMMIT=20eae37090a4ce1b32bcce6144ccad0b49943e0b 2025-01-24T03:39:15.6171954Z REENABLED_ISSUES= 2025-01-24T03:39:15.6172186Z SHLVL=1 2025-01-24T03:39:15.6172391Z MAX_JOBS=14 2025-01-24T03:39:15.6172612Z NV_CUDA_LIB_VERSION=12.4.1-1 2025-01-24T03:39:15.6172880Z NVARCH=x86_64 2025-01-24T03:39:15.6173109Z GITHUB_ACTOR_ID=54816060 2025-01-24T03:39:15.6173552Z GITHUB_WORKFLOW_SHA=d087145b9259b4cfbcb758dc0bca6a6e5d75d08f 2025-01-24T03:39:15.6173949Z GITHUB_REF_NAME=ciflow/inductor/145539 2025-01-24T03:39:15.6174273Z NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4 2025-01-24T03:39:15.6174735Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-01-24T03:39:15.6175187Z GITHUB_JOB=test 2025-01-24T03:39:15.6175453Z NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4 2025-01-24T03:39:15.6175854Z LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 2025-01-24T03:39:15.6176218Z NO_TEST_TIMEOUT=False 2025-01-24T03:39:15.6176472Z TD_DISTRIBUTED=False 2025-01-24T03:39:15.6176741Z NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1 2025-01-24T03:39:15.6177112Z GITHUB_REPOSITORY=pytorch/pytorch 2025-01-24T03:39:15.6177432Z NV_NVPROF_VERSION=12.4.127-1 2025-01-24T03:39:15.6177706Z GITHUB_RETENTION_DAYS=90 2025-01-24T03:39:15.6178037Z OPENSSL_DIR=/opt/openssl 2025-01-24T03:39:15.6178306Z GITHUB_ACTION_REPOSITORY= 2025-01-24T03:39:15.6179036Z PATH=/opt/cache/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-01-24T03:39:15.6179765Z GITHUB_BASE_REF= 2025-01-24T03:39:15.6180221Z ARTIFACTS_FILE_SUFFIX=test-inductor_huggingface-1-1-linux.g5.4xlarge.nvidia.gpu_36100811589 2025-01-24T03:39:15.6180979Z NV_LIBNCCL_PACKAGE_NAME=libnccl2 2025-01-24T03:39:15.6181264Z CI=true 2025-01-24T03:39:15.6181494Z NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1 2025-01-24T03:39:15.6181805Z GITHUB_REPOSITORY_OWNER=pytorch 2025-01-24T03:39:15.6182077Z JOB_ID=36100811589 2025-01-24T03:39:15.6182322Z INSTALLED_PROTOBUF=yes 2025-01-24T03:39:15.6182577Z GITHUB_HEAD_REF= 2025-01-24T03:39:15.6182814Z GITHUB_ACTION_REF= 2025-01-24T03:39:15.6183107Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-01-24T03:39:15.6183448Z TEST_SHOWLOCALS=False 2025-01-24T03:39:15.6183708Z GITHUB_WORKFLOW=inductor 2025-01-24T03:39:15.6183989Z DEBIAN_FRONTEND=noninteractive 2025-01-24T03:39:15.6184596Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_2e51baa2-45e7-45ee-8d9e-6faaef45ef10 2025-01-24T03:39:15.6185194Z NO_TD=False 2025-01-24T03:39:15.6185429Z SKIP_SCCACHE_INITIALIZATION=1 2025-01-24T03:39:15.6185703Z _=/usr/bin/env 2025-01-24T03:39:15.6185961Z + echo 'Testing pytorch' 2025-01-24T03:39:15.6186226Z Testing pytorch 2025-01-24T03:39:15.6186480Z + export LANG=C.UTF-8 2025-01-24T03:39:15.6186727Z + LANG=C.UTF-8 2025-01-24T03:39:15.6186960Z + PR_NUMBER= 2025-01-24T03:39:15.6187221Z + [[ inductor_huggingface == \d\e\f\a\u\l\t ]] 2025-01-24T03:39:15.6187587Z + [[ inductor_huggingface == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-01-24T03:39:15.6187945Z + [[ inductor_huggingface == \s\l\o\w ]] 2025-01-24T03:39:15.6188354Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 == *slow-gradcheck* ]] 2025-01-24T03:39:15.6188803Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 == *cuda* ]] 2025-01-24T03:39:15.6189187Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-01-24T03:39:15.6189525Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-01-24T03:39:15.6189852Z + [[ inductor_huggingface == *crossref* ]] 2025-01-24T03:39:15.6190220Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 == *rocm* ]] 2025-01-24T03:39:15.6190625Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 == *xpu* ]] 2025-01-24T03:39:15.6191041Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 != *-bazel-* ]] 2025-01-24T03:39:15.6191525Z + pip_install --user ninja==1.10.2 2025-01-24T03:39:15.6191900Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-01-24T03:39:15.6192469Z + python3 -m pip install --progress-bar off --user ninja==1.10.2 2025-01-24T03:39:16.7854755Z Collecting ninja==1.10.2 2025-01-24T03:39:16.8023325Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-01-24T03:39:16.8536064Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-01-24T03:39:17.4841868Z Installing collected packages: ninja 2025-01-24T03:39:17.4922037Z  WARNING: The script ninja is installed in '/var/lib/jenkins/.local/bin' which is not on PATH. 2025-01-24T03:39:17.4922955Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-01-24T03:39:17.5420236Z Successfully installed ninja-1.10.2 2025-01-24T03:39:17.6224651Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-01-24T03:39:17.6226177Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-01-24T03:39:17.6227086Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 == *aarch64* ]] 2025-01-24T03:39:17.6227456Z + install_tlparse 2025-01-24T03:39:17.6227723Z + pip_install --user tlparse==0.3.30 2025-01-24T03:39:17.6228113Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-01-24T03:39:17.6228604Z + python3 -m pip install --progress-bar off --user tlparse==0.3.30 2025-01-24T03:39:18.0586935Z Collecting tlparse==0.3.30 2025-01-24T03:39:18.0758367Z Downloading tlparse-0.3.30-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.9 kB) 2025-01-24T03:39:18.0976579Z Downloading tlparse-0.3.30-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB) 2025-01-24T03:39:18.7037143Z Installing collected packages: tlparse 2025-01-24T03:39:18.7385525Z Successfully installed tlparse-0.3.30 2025-01-24T03:39:18.8170170Z ++ python -m site --user-base 2025-01-24T03:39:18.8428143Z + PATH=/var/lib/jenkins/.local/bin:/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-01-24T03:39:18.8430392Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 == *asan* ]] 2025-01-24T03:39:18.8431246Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 == *-debug* ]] 2025-01-24T03:39:18.8432119Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 != *-bazel-* ]] 2025-01-24T03:39:18.8433356Z + echo 'We are not in debug mode: linux-focal-cuda12.4-py3.10-gcc9-sm86. Expect the assertion to pass' 2025-01-24T03:39:18.8434737Z We are not in debug mode: linux-focal-cuda12.4-py3.10-gcc9-sm86. Expect the assertion to pass 2025-01-24T03:39:18.8435705Z + cd test 2025-01-24T03:39:18.8436152Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-01-24T03:39:20.5549099Z + [[ inductor_huggingface == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-01-24T03:39:20.5549551Z + [[ inductor_huggingface == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-01-24T03:39:20.5554832Z + DYNAMO_BENCHMARK_FLAGS=() 2025-01-24T03:39:20.5555288Z + [[ inductor_huggingface == *pr_time_benchmarks* ]] 2025-01-24T03:39:20.5555670Z + [[ inductor_huggingface == *dynamo_eager* ]] 2025-01-24T03:39:20.5556099Z + [[ inductor_huggingface == *aot_eager* ]] 2025-01-24T03:39:20.5556445Z + [[ inductor_huggingface == *aot_inductor* ]] 2025-01-24T03:39:20.5556819Z + [[ inductor_huggingface == *inductor* ]] 2025-01-24T03:39:20.5557143Z + [[ inductor_huggingface != *perf* ]] 2025-01-24T03:39:20.5557472Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-01-24T03:39:20.5557803Z + [[ inductor_huggingface == *dynamic* ]] 2025-01-24T03:39:20.5558125Z + [[ inductor_huggingface == *cpu* ]] 2025-01-24T03:39:20.5558727Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-01-24T03:39:20.5588996Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 == *libtorch* ]] 2025-01-24T03:39:20.5589525Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 == *-bazel-* ]] 2025-01-24T03:39:20.5592184Z + cd test 2025-01-24T03:39:20.5592667Z + python -c 'import torch; print(torch.__config__.show())' 2025-01-24T03:39:22.0904358Z PyTorch built with: 2025-01-24T03:39:22.0905026Z - GCC 9.4 2025-01-24T03:39:22.0905486Z - C++ Version: 201703 2025-01-24T03:39:22.0906276Z - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications 2025-01-24T03:39:22.0907322Z - Intel(R) MKL-DNN v3.5.3 (Git Hash 66f0cb9eb66affd2da3bf5f8d897376f04aae6af) 2025-01-24T03:39:22.0908032Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-01-24T03:39:22.0908371Z - LAPACK is enabled (usually provided by MKL) 2025-01-24T03:39:22.0908700Z - NNPACK is enabled 2025-01-24T03:39:22.0908960Z - CPU capability usage: AVX2 2025-01-24T03:39:22.0909255Z - CUDA Runtime 12.4 2025-01-24T03:39:22.0909605Z - NVCC architecture flags: -gencode;arch=compute_86,code=sm_86 2025-01-24T03:39:22.0909985Z - CuDNN 90.1 2025-01-24T03:39:22.0910218Z - Magma 2.6.1 2025-01-24T03:39:22.0914505Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=d087145b9259b4cfbcb758dc0bca6a6e5d75d08f, CUDA_VERSION=12.4, CUDNN_VERSION=9.1.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=1 -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 -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 -fdiagnostics-color=always -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=2.7.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_EXCEPTION_PTR=1, 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, 2025-01-24T03:39:22.0918963Z 2025-01-24T03:39:22.4320957Z + cd test 2025-01-24T03:39:22.4321399Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-01-24T03:39:23.8201759Z ATen/Parallel: 2025-01-24T03:39:23.8202108Z at::get_num_threads() : 8 2025-01-24T03:39:23.8202449Z at::get_num_interop_threads() : 16 2025-01-24T03:39:23.8202764Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-01-24T03:39:23.8203064Z omp_get_max_threads() : 8 2025-01-24T03:39:23.8203617Z Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications 2025-01-24T03:39:23.8204196Z mkl_get_max_threads() : 8 2025-01-24T03:39:23.8204584Z Intel(R) MKL-DNN v3.5.3 (Git Hash 66f0cb9eb66affd2da3bf5f8d897376f04aae6af) 2025-01-24T03:39:23.8205031Z std::thread::hardware_concurrency() : 16 2025-01-24T03:39:23.8205352Z Environment variables: 2025-01-24T03:39:23.8205625Z OMP_NUM_THREADS : [not set] 2025-01-24T03:39:23.8205911Z MKL_NUM_THREADS : [not set] 2025-01-24T03:39:23.8206202Z ATen parallel backend: OpenMP 2025-01-24T03:39:23.8206389Z 2025-01-24T03:39:24.1162345Z + [[ inductor_huggingface == *numpy_2* ]] 2025-01-24T03:39:24.1162782Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 == *aarch64* ]] 2025-01-24T03:39:24.1163219Z + [[ inductor_huggingface == *backward* ]] 2025-01-24T03:39:24.1163641Z + [[ inductor_huggingface == *xla* ]] 2025-01-24T03:39:24.1164043Z + [[ inductor_huggingface == *executorch* ]] 2025-01-24T03:39:24.1164404Z + [[ inductor_huggingface == \j\i\t\_\l\e\g\a\c\y ]] 2025-01-24T03:39:24.1164814Z + [[ linux-focal-cuda12.4-py3.10-gcc9-sm86 == *libtorch* ]] 2025-01-24T03:39:24.1165558Z + [[ inductor_huggingface == distributed ]] 2025-01-24T03:39:24.1165928Z + [[ inductor_huggingface == *inductor_distributed* ]] 2025-01-24T03:39:24.1166313Z + [[ inductor_huggingface == *inductor-halide* ]] 2025-01-24T03:39:24.1166718Z + [[ inductor_huggingface == *inductor-triton-cpu* ]] 2025-01-24T03:39:24.1167170Z + [[ inductor_huggingface == *inductor-micro-benchmark* ]] 2025-01-24T03:39:24.1167573Z + [[ inductor_huggingface == *huggingface* ]] 2025-01-24T03:39:24.1167894Z + install_torchvision 2025-01-24T03:39:24.1168144Z + local orig_preload 2025-01-24T03:39:24.1168385Z + local commit 2025-01-24T03:39:24.1168950Z ++ get_pinned_commit vision 2025-01-24T03:39:24.1169403Z ++ cat .github/ci_commit_pins/vision.txt 2025-01-24T03:39:24.1187216Z + commit=d23a6e1664d20707c11781299611436e1f0c104f 2025-01-24T03:39:24.1187566Z + orig_preload= 2025-01-24T03:39:24.1187809Z + '[' -n '' ']' 2025-01-24T03:39:24.1188351Z + pip_install --no-use-pep517 --user git+https://github.com/pytorch/vision.git@d23a6e1664d20707c11781299611436e1f0c104f 2025-01-24T03:39:24.1189027Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-01-24T03:39:24.1189780Z + python3 -m pip install --progress-bar off --no-use-pep517 --user git+https://github.com/pytorch/vision.git@d23a6e1664d20707c11781299611436e1f0c104f 2025-01-24T03:39:24.4545995Z Collecting git+https://github.com/pytorch/vision.git@d23a6e1664d20707c11781299611436e1f0c104f 2025-01-24T03:39:24.4548194Z Cloning https://github.com/pytorch/vision.git (to revision d23a6e1664d20707c11781299611436e1f0c104f) to /tmp/pip-req-build-9dw2bags 2025-01-24T03:39:24.4578871Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-9dw2bags 2025-01-24T03:39:25.9708751Z Running command git rev-parse -q --verify 'sha^d23a6e1664d20707c11781299611436e1f0c104f' 2025-01-24T03:39:25.9736506Z Running command git fetch -q https://github.com/pytorch/vision.git d23a6e1664d20707c11781299611436e1f0c104f 2025-01-24T03:39:27.3577964Z Running command git checkout -q d23a6e1664d20707c11781299611436e1f0c104f 2025-01-24T03:39:27.7025700Z Resolved https://github.com/pytorch/vision.git to commit d23a6e1664d20707c11781299611436e1f0c104f 2025-01-24T03:39:30.3626535Z Preparing metadata (setup.py) ... [?25l- \ done 2025-01-24T03:39:30.3675534Z [?25hRequirement already satisfied: numpy in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torchvision==0.19.0a0+d23a6e1) (1.22.4) 2025-01-24T03:39:30.3679480Z Requirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torchvision==0.19.0a0+d23a6e1) (2.7.0a0+gitd087145) 2025-01-24T03:39:30.3685703Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torchvision==0.19.0a0+d23a6e1) (11.0.0) 2025-01-24T03:39:30.3796906Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (3.16.1) 2025-01-24T03:39:30.3800494Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (4.12.2) 2025-01-24T03:39:30.3804601Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (2.8.8) 2025-01-24T03:39:30.3809408Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (3.1.5) 2025-01-24T03:39:30.3813939Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (2024.10.0) 2025-01-24T03:39:30.3821313Z Requirement already satisfied: sympy==1.13.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (1.13.1) 2025-01-24T03:39:30.3843193Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy==1.13.1->torch->torchvision==0.19.0a0+d23a6e1) (1.3.0) 2025-01-24T03:39:30.4325060Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch->torchvision==0.19.0a0+d23a6e1) (3.0.2) 2025-01-24T03:39:30.4389440Z Building wheels for collected packages: torchvision 2025-01-24T03:40:46.1436865Z Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done 2025-01-24T03:40:46.1469014Z [?25h Created wheel for torchvision: filename=torchvision-0.19.0a0+d23a6e1-cp310-cp310-linux_x86_64.whl size=2026436 sha256=05c3d6b1b80e6b3296ad41767c05d3b91c3ee7455a9cdd03793b5a349f086b2f 2025-01-24T03:40:46.1471658Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/0e/56/35/02931e71eb23fd2b85591c7ec05b733ca7c8b328a2fd151f96 2025-01-24T03:40:46.1505301Z Successfully built torchvision 2025-01-24T03:40:46.6604013Z Installing collected packages: torchvision 2025-01-24T03:40:47.0747514Z Successfully installed torchvision-0.19.0a0+d23a6e1 2025-01-24T03:40:47.2172982Z + '[' -n '' ']' 2025-01-24T03:40:47.2173262Z + id=0 2025-01-24T03:40:47.2173514Z + test_dynamo_benchmark huggingface 0 2025-01-24T03:40:47.2177178Z ++ pwd 2025-01-24T03:40:47.2180462Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-01-24T03:40:47.2181026Z + local suite=huggingface 2025-01-24T03:40:47.2181287Z + shift 2025-01-24T03:40:47.2181508Z + local shard_id=0 2025-01-24T03:40:47.2181747Z + shift 2025-01-24T03:40:47.2182039Z + [[ inductor_huggingface == *perf_compare* ]] 2025-01-24T03:40:47.2182400Z + [[ inductor_huggingface == *perf* ]] 2025-01-24T03:40:47.2182736Z + [[ inductor_huggingface == *cpu* ]] 2025-01-24T03:40:47.2183202Z + [[ inductor_huggingface == *aot_inductor* ]] 2025-01-24T03:40:47.2183786Z + test_single_dynamo_benchmark inference huggingface 0 --inference --bfloat16 2025-01-24T03:40:47.2184436Z ++ pwd 2025-01-24T03:40:47.2187733Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-01-24T03:40:47.2188235Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-01-24T03:40:47.2243995Z + local name=inference 2025-01-24T03:40:47.2244408Z + shift 2025-01-24T03:40:47.2244705Z + local suite=huggingface 2025-01-24T03:40:47.2245001Z + shift 2025-01-24T03:40:47.2245213Z + local shard_id=0 2025-01-24T03:40:47.2245459Z + shift 2025-01-24T03:40:47.2245745Z + partition_flags=() 2025-01-24T03:40:47.2246008Z + local partition_flags 2025-01-24T03:40:47.2246268Z + [[ -n 1 ]] 2025-01-24T03:40:47.2246484Z + [[ -n 0 ]] 2025-01-24T03:40:47.2246902Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-01-24T03:40:47.2247410Z + [[ inductor_huggingface == *perf_compare* ]] 2025-01-24T03:40:47.2247757Z + [[ inductor_huggingface == *perf* ]] 2025-01-24T03:40:47.2248084Z + [[ inductor_huggingface == *_avx2* ]] 2025-01-24T03:40:47.2248413Z + [[ inductor_huggingface == *_avx512* ]] 2025-01-24T03:40:47.2249594Z + python benchmarks/dynamo/huggingface.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cuda --inference --bfloat16 --total-partitions 1 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inference_huggingface.csv 2025-01-24T03:40:50.8593533Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T03:40:50.8594710Z warnings.warn( 2025-01-24T03:40:50.9232227Z 2025-01-24T03:40:50.9232795Z config.json: 0% 0.00/694 [00:00 will be ignored 2025-01-24T04:09:28.2662140Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", "L['self'].param_groups[0]['params'][17].grad", "L['self'].param_groups[0]['params'][18].grad", "L['self'].param_groups[0]['params'][19].grad", "L['self'].param_groups[0]['params'][20].grad", "L['self'].param_groups[0]['params'][21].grad", "L['self'].param_groups[0]['params'][22].grad", "L['self'].param_groups[0]['params'][23].grad", "L['self'].param_groups[0]['params'][24].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:09:37.3958868Z Compilation time (from dynamo_timed): 34.687746456 2025-01-24T04:09:37.3967695Z pass 2025-01-24T04:09:37.4322790Z TIMING: entire_frame_compile:25.167 gc:0.00238 _recursive_pre_grad_passes:0.02159 pad_mm_benchmark:0.37522 _recursive_joint_graph_passes:1.63828 _recursive_post_grad_passes:0.98825 async_compile.wait:5.9126 code_gen:13.72219 inductor_compile:20.86377 backend_compile:21.39785 entire_backward_compile:9.52075 total_wall_time:34.68775 2025-01-24T04:09:37.4324435Z STATS: call_* op count: 585 | FakeTensorMode.__torch_dispatch__:40988 | FakeTensor.__torch_dispatch__:6609 | ProxyTorchDispatchMode.__torch_dispatch__:20178 2025-01-24T04:09:37.4325237Z Dynamo produced 2 graphs covering 585 ops with 5 graph breaks (4 unique) 2025-01-24T04:09:43.7009216Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:09:43.7010499Z warnings.warn( 2025-01-24T04:09:44.0165867Z 2025-01-24T04:09:46.8613545Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:09:46.8613938Z loading model: 0it [00:02, ?it/s] 2025-01-24T04:09:46.8614280Z cuda train AllenaiLongformerBase 2025-01-24T04:09:55.8844073Z W0124 04:09:55.883000 11358 site-packages/torch/_dynamo/variables/tensor.py:868] [3/0] Graph break from `Tensor.item()`, consider setting: 2025-01-24T04:09:55.8845080Z W0124 04:09:55.883000 11358 site-packages/torch/_dynamo/variables/tensor.py:868] [3/0] torch._dynamo.config.capture_scalar_outputs = True 2025-01-24T04:09:55.8845864Z W0124 04:09:55.883000 11358 site-packages/torch/_dynamo/variables/tensor.py:868] [3/0] or: 2025-01-24T04:09:55.8846614Z W0124 04:09:55.883000 11358 site-packages/torch/_dynamo/variables/tensor.py:868] [3/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-01-24T04:09:55.8847609Z W0124 04:09:55.883000 11358 site-packages/torch/_dynamo/variables/tensor.py:868] [3/0] to include these operations in the captured graph. 2025-01-24T04:09:55.8848362Z W0124 04:09:55.883000 11358 site-packages/torch/_dynamo/variables/tensor.py:868] [3/0] 2025-01-24T04:09:55.8849064Z W0124 04:09:55.883000 11358 site-packages/torch/_dynamo/variables/tensor.py:868] [3/0] Graph break: from user code at: 2025-01-24T04:09:55.8850689Z W0124 04:09:55.883000 11358 site-packages/torch/_dynamo/variables/tensor.py:868] [3/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:09:55.8851914Z W0124 04:09:55.883000 11358 site-packages/torch/_dynamo/variables/tensor.py:868] [3/0] pred = mod(**cloned_inputs) 2025-01-24T04:09:55.8853135Z W0124 04:09:55.883000 11358 site-packages/torch/_dynamo/variables/tensor.py:868] [3/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1835, in forward 2025-01-24T04:09:55.8854513Z W0124 04:09:55.883000 11358 site-packages/torch/_dynamo/variables/tensor.py:868] [3/0] outputs = self.longformer( 2025-01-24T04:09:55.8855722Z W0124 04:09:55.883000 11358 site-packages/torch/_dynamo/variables/tensor.py:868] [3/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1738, in forward 2025-01-24T04:09:55.8856943Z W0124 04:09:55.883000 11358 site-packages/torch/_dynamo/variables/tensor.py:868] [3/0] encoder_outputs = self.encoder( 2025-01-24T04:09:55.8858161Z W0124 04:09:55.883000 11358 site-packages/torch/_dynamo/variables/tensor.py:868] [3/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1291, in forward 2025-01-24T04:09:55.8859445Z W0124 04:09:55.883000 11358 site-packages/torch/_dynamo/variables/tensor.py:868] [3/0] is_global_attn = is_index_global_attn.flatten().any().item() 2025-01-24T04:09:55.8860231Z W0124 04:09:55.883000 11358 site-packages/torch/_dynamo/variables/tensor.py:868] [3/0] 2025-01-24T04:09:55.8860818Z W0124 04:09:55.883000 11358 site-packages/torch/_dynamo/variables/tensor.py:868] [3/0] 2025-01-24T04:11:12.1291520Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:11:12.1292465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1318, in torch_dynamo_resume_in_forward_at_1291 2025-01-24T04:11:12.1293290Z layer_outputs = layer_module( 2025-01-24T04:11:12.1293957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1246, in forward 2025-01-24T04:11:12.1294642Z self_attn_outputs = self.attention( 2025-01-24T04:11:12.1295320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1182, in forward 2025-01-24T04:11:12.1295989Z self_outputs = self.self( 2025-01-24T04:11:12.1296639Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 571, in forward 2025-01-24T04:11:12.1297365Z attn_scores = self._sliding_chunks_query_key_matmul( 2025-01-24T04:11:12.1298165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 836, in _sliding_chunks_query_key_matmul 2025-01-24T04:11:12.1299137Z query = self._chunk(query, window_overlap, getattr(self.config, "onnx_export", False)) 2025-01-24T04:11:12.1299953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 778, in _chunk 2025-01-24T04:11:12.1300720Z return hidden_states.as_strided(size=chunk_size, stride=chunk_stride) 2025-01-24T04:11:12.1301025Z 2025-01-24T04:11:12.7630057Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:11:12.7631141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 1734, in forward 2025-01-24T04:11:12.7631849Z embedding_output = self.embeddings( 2025-01-24T04:11:12.7632586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/longformer/modeling_longformer.py", line 470, in forward 2025-01-24T04:11:12.7633650Z inputs_embeds = self.word_embeddings(input_ids) 2025-01-24T04:11:12.7633901Z 2025-01-24T04:11:12.8139549Z W0124 04:11:12.813000 11358 site-packages/torch/_logging/_internal.py:1093] [18/0] Profiler function will be ignored 2025-01-24T04:11:14.8578638Z ('Grad tensors ["L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", 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"L['self'].param_groups[0]['params'][227].grad", "L['self'].param_groups[0]['params'][228].grad", "L['self'].param_groups[0]['params'][229].grad", "L['self'].param_groups[0]['params'][230].grad", "L['self'].param_groups[0]['params'][237].grad", "L['self'].param_groups[0]['params'][238].grad", "L['self'].param_groups[0]['params'][239].grad", "L['self'].param_groups[0]['params'][240].grad", "L['self'].param_groups[0]['params'][241].grad", "L['self'].param_groups[0]['params'][242].grad", "L['self'].param_groups[0]['params'][243].grad", "L['self'].param_groups[0]['params'][244].grad", "L['self'].param_groups[0]['params'][245].grad", "L['self'].param_groups[0]['params'][246].grad", "L['self'].param_groups[0]['params'][247].grad", "L['self'].param_groups[0]['params'][248].grad", "L['self'].param_groups[0]['params'][249].grad", "L['self'].param_groups[0]['params'][250].grad", "L['self'].param_groups[0]['params'][251].grad", "L['self'].param_groups[0]['params'][252].grad", "L['self'].param_groups[0]['params'][259].grad", "L['self'].param_groups[0]['params'][260].grad", "L['self'].param_groups[0]['params'][261].grad", "L['self'].param_groups[0]['params'][262].grad", "L['self'].param_groups[0]['params'][263].grad", "L['self'].param_groups[0]['params'][264].grad", "L['self'].param_groups[0]['params'][265].grad", "L['self'].param_groups[0]['params'][266].grad", "L['self'].param_groups[0]['params'][267].grad", "L['self'].param_groups[0]['params'][268].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:12:05.2464437Z Compilation time (from dynamo_timed): 122.37512645800001 2025-01-24T04:12:05.2503151Z pass 2025-01-24T04:12:05.2939302Z TIMING: entire_frame_compile:103.05675 gc:0.01242 _recursive_pre_grad_passes:0.10363 _recursive_joint_graph_passes:3.38728 inductor_compile:61.19637 backend_compile:80.51641 _recursive_post_grad_passes:3.13954 async_compile.wait:8.04574 code_gen:37.9313 pad_mm_benchmark:0.42197 entire_backward_compile:19.31837 total_wall_time:122.37513 2025-01-24T04:12:05.2942600Z STATS: call_* op count: 2772 | FakeTensorMode.__torch_dispatch__:123188 | FakeTensor.__torch_dispatch__:17607 | ProxyTorchDispatchMode.__torch_dispatch__:59644 2025-01-24T04:12:05.2944160Z Dynamo produced 7 graphs covering 2772 ops with 9 graph breaks (5 unique) 2025-01-24T04:12:14.8717678Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:12:14.8718860Z warnings.warn( 2025-01-24T04:12:15.1411176Z 2025-01-24T04:12:19.0565800Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:12:19.0566203Z loading model: 0it [00:03, ?it/s] 2025-01-24T04:12:19.0566527Z cuda train BartForCausalLM 2025-01-24T04:12:33.2502289Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:12:33.2503081Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 135, in forward 2025-01-24T04:12:33.2503760Z return super().forward(positions + self.offset) 2025-01-24T04:12:33.2504006Z 2025-01-24T04:12:39.2222535Z Compilation time (from dynamo_timed): 5.590586268 2025-01-24T04:12:39.2250491Z pass 2025-01-24T04:12:39.3530063Z TIMING: entire_frame_compile:4.16629 gc:0.00589 _recursive_pre_grad_passes:0.00647 _recursive_joint_graph_passes:0.49761 inductor_compile:2.8377 backend_compile:3.35593 _recursive_post_grad_passes:0.08668 async_compile.precompile:0.1506 async_compile.wait:0.88367 code_gen:1.988 pad_mm_benchmark:0.27814 entire_backward_compile:1.4243 total_wall_time:5.59059 2025-01-24T04:12:39.3532114Z STATS: call_* op count: 39 | FakeTensorMode.__torch_dispatch__:3902 | FakeTensor.__torch_dispatch__:641 | ProxyTorchDispatchMode.__torch_dispatch__:1670 2025-01-24T04:12:39.3533143Z Dynamo produced 5 graphs covering 39 ops with 6 graph breaks (5 unique) 2025-01-24T04:12:44.6526384Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:12:44.6527562Z warnings.warn( 2025-01-24T04:12:44.9471510Z 2025-01-24T04:12:52.0529053Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:12:52.0529878Z loading model: 0it [00:07, ?it/s] 2025-01-24T04:12:52.0530223Z cuda train BartForConditionalGeneration 2025-01-24T04:13:10.1637007Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:13:10.1638820Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 135, in forward 2025-01-24T04:13:10.1640549Z return super().forward(positions + self.offset) 2025-01-24T04:13:10.1641043Z 2025-01-24T04:13:32.5256115Z Compilation time (from dynamo_timed): 8.768748724 2025-01-24T04:13:32.5310017Z pass 2025-01-24T04:13:32.7354010Z TIMING: entire_frame_compile:6.55637 gc:0.00979 _recursive_pre_grad_passes:0.00815 _recursive_joint_graph_passes:0.36438 inductor_compile:4.36991 backend_compile:4.84396 _recursive_post_grad_passes:0.18812 async_compile.precompile:0.10137 async_compile.wait:0.91519 code_gen:2.72632 pad_mm_benchmark:0.0314 entire_backward_compile:2.21238 total_wall_time:8.76875 2025-01-24T04:13:32.7357879Z STATS: call_* op count: 93 | FakeTensorMode.__torch_dispatch__:8315 | FakeTensor.__torch_dispatch__:1378 | ProxyTorchDispatchMode.__torch_dispatch__:3844 2025-01-24T04:13:32.7359128Z Dynamo produced 7 graphs covering 93 ops with 8 graph breaks (5 unique) 2025-01-24T04:13:38.2095222Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:13:38.2097638Z warnings.warn( 2025-01-24T04:13:38.5699323Z 2025-01-24T04:13:40.6743368Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:13:40.6743733Z loading model: 0it [00:02, ?it/s] 2025-01-24T04:13:40.6744068Z cuda train BertForMaskedLM 2025-01-24T04:14:15.3881687Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:14:15.3882591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:14:15.3883292Z pred = mod(**cloned_inputs) 2025-01-24T04:14:15.3883926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 1360, in forward 2025-01-24T04:14:15.3884573Z outputs = self.bert( 2025-01-24T04:14:15.3885165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 1006, in forward 2025-01-24T04:14:15.3885817Z embedding_output = self.embeddings( 2025-01-24T04:14:15.3886458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 232, in forward 2025-01-24T04:14:15.3887128Z inputs_embeds = self.word_embeddings(input_ids) 2025-01-24T04:14:15.3887376Z 2025-01-24T04:14:15.5518137Z W0124 04:14:15.551000 12436 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:14:17.2944846Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", "L['self'].param_groups[0]['params'][17].grad", "L['self'].param_groups[0]['params'][18].grad", "L['self'].param_groups[0]['params'][19].grad", "L['self'].param_groups[0]['params'][20].grad", "L['self'].param_groups[0]['params'][21].grad", "L['self'].param_groups[0]['params'][22].grad", "L['self'].param_groups[0]['params'][23].grad", "L['self'].param_groups[0]['params'][24].grad", "L['self'].param_groups[0]['params'][25].grad", "L['self'].param_groups[0]['params'][26].grad", "L['self'].param_groups[0]['params'][27].grad", "L['self'].param_groups[0]['params'][28].grad", "L['self'].param_groups[0]['params'][29].grad", "L['self'].param_groups[0]['params'][30].grad", "L['self'].param_groups[0]['params'][31].grad", "L['self'].param_groups[0]['params'][32].grad", "L['self'].param_groups[0]['params'][33].grad", "L['self'].param_groups[0]['params'][34].grad", "L['self'].param_groups[0]['params'][35].grad", "L['self'].param_groups[0]['params'][36].grad", "L['self'].param_groups[0]['params'][37].grad", 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"L['self'].param_groups[0]['params'][178].grad", "L['self'].param_groups[0]['params'][179].grad", "L['self'].param_groups[0]['params'][180].grad", "L['self'].param_groups[0]['params'][181].grad", "L['self'].param_groups[0]['params'][182].grad", "L['self'].param_groups[0]['params'][183].grad", "L['self'].param_groups[0]['params'][184].grad", "L['self'].param_groups[0]['params'][185].grad", "L['self'].param_groups[0]['params'][186].grad", "L['self'].param_groups[0]['params'][187].grad", "L['self'].param_groups[0]['params'][188].grad", "L['self'].param_groups[0]['params'][189].grad", "L['self'].param_groups[0]['params'][190].grad", "L['self'].param_groups[0]['params'][191].grad", "L['self'].param_groups[0]['params'][192].grad", "L['self'].param_groups[0]['params'][193].grad", "L['self'].param_groups[0]['params'][194].grad", "L['self'].param_groups[0]['params'][195].grad", "L['self'].param_groups[0]['params'][196].grad", "L['self'].param_groups[0]['params'][197].grad", "L['self'].param_groups[0]['params'][198].grad", "L['self'].param_groups[0]['params'][199].grad", "L['self'].param_groups[0]['params'][200].grad", "L['self'].param_groups[0]['params'][201].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:14:58.4674703Z Compilation time (from dynamo_timed): 71.177110356 2025-01-24T04:14:58.4699067Z pass 2025-01-24T04:14:58.5331859Z TIMING: entire_frame_compile:62.55793 gc:0.00365 _recursive_pre_grad_passes:0.06184 pad_mm_benchmark:0.40013 _recursive_joint_graph_passes:1.83784 _recursive_post_grad_passes:0.72228 async_compile.wait:3.35205 code_gen:20.86209 inductor_compile:36.04766 backend_compile:48.93616 entire_backward_compile:8.61918 total_wall_time:71.17711 2025-01-24T04:14:58.5333902Z STATS: call_* op count: 1401 | FakeTensorMode.__torch_dispatch__:62971 | FakeTensor.__torch_dispatch__:14487 | ProxyTorchDispatchMode.__torch_dispatch__:28569 2025-01-24T04:14:58.5334739Z Dynamo produced 2 graphs covering 1401 ops with 5 graph breaks (4 unique) 2025-01-24T04:15:06.5169497Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:15:06.5170694Z warnings.warn( 2025-01-24T04:15:06.8085750Z 2025-01-24T04:15:08.6584799Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:15:08.6585285Z loading model: 0it [00:01, ?it/s] 2025-01-24T04:15:08.6585717Z cuda train BertForQuestionAnswering 2025-01-24T04:15:42.4777698Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:15:42.4780188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:15:42.4780951Z pred = mod(**cloned_inputs) 2025-01-24T04:15:42.4781587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 1846, in forward 2025-01-24T04:15:42.4782219Z outputs = self.bert( 2025-01-24T04:15:42.4782809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 1006, in forward 2025-01-24T04:15:42.4783451Z embedding_output = self.embeddings( 2025-01-24T04:15:42.4784091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bert/modeling_bert.py", line 232, in forward 2025-01-24T04:15:42.4784749Z inputs_embeds = self.word_embeddings(input_ids) 2025-01-24T04:15:42.4784992Z 2025-01-24T04:15:42.6399113Z W0124 04:15:42.638000 12758 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:15:44.3618833Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", "L['self'].param_groups[0]['params'][17].grad", 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"L['self'].param_groups[0]['params'][178].grad", "L['self'].param_groups[0]['params'][179].grad", "L['self'].param_groups[0]['params'][180].grad", "L['self'].param_groups[0]['params'][181].grad", "L['self'].param_groups[0]['params'][182].grad", "L['self'].param_groups[0]['params'][183].grad", "L['self'].param_groups[0]['params'][184].grad", "L['self'].param_groups[0]['params'][185].grad", "L['self'].param_groups[0]['params'][186].grad", "L['self'].param_groups[0]['params'][187].grad", "L['self'].param_groups[0]['params'][188].grad", "L['self'].param_groups[0]['params'][189].grad", "L['self'].param_groups[0]['params'][190].grad", "L['self'].param_groups[0]['params'][191].grad", "L['self'].param_groups[0]['params'][192].grad", "L['self'].param_groups[0]['params'][193].grad", "L['self'].param_groups[0]['params'][194].grad", "L['self'].param_groups[0]['params'][195].grad", "L['self'].param_groups[0]['params'][196].grad", "L['self'].param_groups[0]['params'][197].grad", "L['self'].param_groups[0]['params'][198].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:16:23.2380240Z Compilation time (from dynamo_timed): 68.311958483 2025-01-24T04:16:23.2403836Z pass 2025-01-24T04:16:23.3067797Z TIMING: entire_frame_compile:60.1281 gc:0.00322 _recursive_pre_grad_passes:0.06211 pad_mm_benchmark:0.37535 _recursive_joint_graph_passes:1.78528 _recursive_post_grad_passes:0.72183 async_compile.wait:1.50357 code_gen:18.6859 inductor_compile:33.70169 backend_compile:46.67414 entire_backward_compile:8.18386 total_wall_time:68.31196 2025-01-24T04:16:23.3069906Z STATS: call_* op count: 1393 | FakeTensorMode.__torch_dispatch__:62473 | FakeTensor.__torch_dispatch__:14327 | ProxyTorchDispatchMode.__torch_dispatch__:28358 2025-01-24T04:16:23.3070753Z Dynamo produced 2 graphs covering 1393 ops with 5 graph breaks (4 unique) 2025-01-24T04:16:31.2643329Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:16:31.2644593Z warnings.warn( 2025-01-24T04:16:31.6012897Z 2025-01-24T04:17:00.1647356Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:17:00.1649837Z loading model: 0it [00:28, ?it/s] 2025-01-24T04:17:00.1650480Z cuda train BlenderbotForCausalLM 2025-01-24T04:17:00.1655314Z Traceback (most recent call last): 2025-01-24T04:17:00.1655871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2749, in validate_model 2025-01-24T04:17:00.1656419Z self.model_iter_fn(model, example_inputs) 2025-01-24T04:17:00.1657025Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in forward_and_backward_pass 2025-01-24T04:17:00.1657615Z pred = mod(**cloned_inputs) 2025-01-24T04:17:00.1658214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1749, in _wrapped_call_impl 2025-01-24T04:17:00.1658848Z return self._call_impl(*args, **kwargs) 2025-01-24T04:17:00.1659452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1760, in _call_impl 2025-01-24T04:17:00.1660031Z return forward_call(*args, **kwargs) 2025-01-24T04:17:00.1660713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/blenderbot/modeling_blenderbot.py", line 1531, in forward 2025-01-24T04:17:00.1662364Z outputs = self.model.decoder( 2025-01-24T04:17:00.1662966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1749, in _wrapped_call_impl 2025-01-24T04:17:00.1663581Z return self._call_impl(*args, **kwargs) 2025-01-24T04:17:00.1664159Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1760, in _call_impl 2025-01-24T04:17:00.1664738Z return forward_call(*args, **kwargs) 2025-01-24T04:17:00.1665416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/blenderbot/modeling_blenderbot.py", line 997, in forward 2025-01-24T04:17:00.1666260Z layer_outputs = decoder_layer( 2025-01-24T04:17:00.1666861Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1749, in _wrapped_call_impl 2025-01-24T04:17:00.1667477Z return self._call_impl(*args, **kwargs) 2025-01-24T04:17:00.1668059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1760, in _call_impl 2025-01-24T04:17:00.1668635Z return forward_call(*args, **kwargs) 2025-01-24T04:17:00.1669306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/blenderbot/modeling_blenderbot.py", line 397, in forward 2025-01-24T04:17:00.1670077Z hidden_states, self_attn_weights, present_key_value = self.self_attn( 2025-01-24T04:17:00.1670783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1749, in _wrapped_call_impl 2025-01-24T04:17:00.1671396Z return self._call_impl(*args, **kwargs) 2025-01-24T04:17:00.1671976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1760, in _call_impl 2025-01-24T04:17:00.1672625Z return forward_call(*args, **kwargs) 2025-01-24T04:17:00.1673291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/blenderbot/modeling_blenderbot.py", line 152, in forward 2025-01-24T04:17:00.1674025Z query_states = self.q_proj(hidden_states) * self.scaling 2025-01-24T04:17:00.1674682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1749, in _wrapped_call_impl 2025-01-24T04:17:00.1675312Z return self._call_impl(*args, **kwargs) 2025-01-24T04:17:00.1675881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1760, in _call_impl 2025-01-24T04:17:00.1676454Z return forward_call(*args, **kwargs) 2025-01-24T04:17:00.1677005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 125, in forward 2025-01-24T04:17:00.1677592Z return F.linear(input, self.weight, self.bias) 2025-01-24T04:17:00.1679575Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 14.00 MiB. GPU 0 has a total capacity of 21.98 GiB of which 6.44 MiB is free. Process 69059 has 21.96 GiB memory in use. Of the allocated memory 21.61 GiB is allocated by PyTorch, and 27.77 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-01-24T04:17:00.1681396Z 2025-01-24T04:17:00.1681606Z The above exception was the direct cause of the following exception: 2025-01-24T04:17:00.1681914Z 2025-01-24T04:17:00.1682027Z Traceback (most recent call last): 2025-01-24T04:17:00.1682486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4883, in run 2025-01-24T04:17:00.1682965Z ) = runner.load_model( 2025-01-24T04:17:00.1683452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 458, in load_model 2025-01-24T04:17:00.1683995Z self.validate_model(model, example_inputs) 2025-01-24T04:17:00.1684519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2751, in validate_model 2025-01-24T04:17:00.1685145Z raise RuntimeError("Eager run failed") from e 2025-01-24T04:17:00.1685491Z RuntimeError: Eager run failed 2025-01-24T04:17:00.1685684Z 2025-01-24T04:17:00.1685778Z eager_fail_to_run 2025-01-24T04:17:04.4797361Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:17:04.4799549Z warnings.warn( 2025-01-24T04:17:04.8704469Z 2025-01-24T04:17:06.3482457Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:17:06.3483366Z loading model: 0it [00:01, ?it/s] 2025-01-24T04:17:06.3483802Z cuda train BlenderbotSmallForCausalLM 2025-01-24T04:17:06.3693580Z WARNING:common:fp64 golden ref were not generated for BlenderbotSmallForCausalLM. Setting accuracy check to cosine 2025-01-24T04:17:14.3360520Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:17:14.3361455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/blenderbot_small/modeling_blenderbot_small.py", line 90, in forward 2025-01-24T04:17:14.3362196Z return super().forward(positions) 2025-01-24T04:17:14.3362407Z 2025-01-24T04:17:18.6243902Z Compilation time (from dynamo_timed): 6.311514882999999 2025-01-24T04:17:18.6255099Z pass 2025-01-24T04:17:18.6562550Z TIMING: entire_frame_compile:4.85208 gc:0.0067 _recursive_pre_grad_passes:0.00683 _recursive_joint_graph_passes:0.43426 inductor_compile:3.27962 backend_compile:3.83145 _recursive_post_grad_passes:0.10425 async_compile.precompile:0.21935 async_compile.wait:1.00167 code_gen:2.31322 pad_mm_benchmark:0.2007 entire_backward_compile:1.45944 total_wall_time:6.31151 2025-01-24T04:17:18.6565034Z STATS: call_* op count: 58 | FakeTensorMode.__torch_dispatch__:4521 | FakeTensor.__torch_dispatch__:693 | ProxyTorchDispatchMode.__torch_dispatch__:1896 2025-01-24T04:17:18.6565841Z Dynamo produced 6 graphs covering 58 ops with 6 graph breaks (5 unique) 2025-01-24T04:17:23.9288969Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:17:23.9290159Z warnings.warn( 2025-01-24T04:17:24.2850625Z 2025-01-24T04:17:26.1740197Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:17:26.1740554Z loading model: 0it [00:01, ?it/s] 2025-01-24T04:17:26.1740925Z cuda train BlenderbotSmallForConditionalGeneration 2025-01-24T04:17:26.2452993Z WARNING:common:fp64 golden ref were not generated for BlenderbotSmallForConditionalGeneration. Setting accuracy check to cosine 2025-01-24T04:17:29.3269302Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:17:29.3270189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/blenderbot_small/modeling_blenderbot_small.py", line 90, in forward 2025-01-24T04:17:29.3270959Z return super().forward(positions) 2025-01-24T04:17:29.3271167Z 2025-01-24T04:17:47.5682650Z Compilation time (from dynamo_timed): 9.435118669000001 2025-01-24T04:17:47.5703312Z pass 2025-01-24T04:17:47.6059516Z TIMING: entire_frame_compile:7.11945 gc:0.00841 _recursive_pre_grad_passes:0.00941 _recursive_joint_graph_passes:0.41082 inductor_compile:4.90232 backend_compile:5.54623 async_compile.precompile:0.02091 async_compile.wait:1.03069 pad_mm_benchmark:0.04235 _recursive_post_grad_passes:0.26252 code_gen:3.02926 entire_backward_compile:2.31567 total_wall_time:9.43512 2025-01-24T04:17:47.6062301Z STATS: call_* op count: 121 | FakeTensorMode.__torch_dispatch__:9371 | FakeTensor.__torch_dispatch__:1460 | ProxyTorchDispatchMode.__torch_dispatch__:4238 2025-01-24T04:17:47.6063533Z Dynamo produced 7 graphs covering 121 ops with 8 graph breaks (5 unique) 2025-01-24T04:17:53.1444346Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:17:53.1445634Z warnings.warn( 2025-01-24T04:17:53.4369475Z 2025-01-24T04:17:55.5467561Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:17:55.5467933Z loading model: 0it [00:02, ?it/s] 2025-01-24T04:17:55.5468255Z cuda train CamemBert 2025-01-24T04:18:30.0828121Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:18:30.0829836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:18:30.0830875Z pred = mod(**cloned_inputs) 2025-01-24T04:18:30.0831846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 979, in forward 2025-01-24T04:18:30.0832964Z outputs = self.roberta( 2025-01-24T04:18:30.0833898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 881, in forward 2025-01-24T04:18:30.0834957Z embedding_output = self.embeddings( 2025-01-24T04:18:30.0835956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/camembert/modeling_camembert.py", line 139, in forward 2025-01-24T04:18:30.0837001Z inputs_embeds = self.word_embeddings(input_ids) 2025-01-24T04:18:30.0837360Z 2025-01-24T04:18:30.2492192Z W0124 04:18:30.248000 13528 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:18:31.9864349Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", "L['self'].param_groups[0]['params'][17].grad", 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"L['self'].param_groups[0]['params'][178].grad", "L['self'].param_groups[0]['params'][179].grad", "L['self'].param_groups[0]['params'][180].grad", "L['self'].param_groups[0]['params'][181].grad", "L['self'].param_groups[0]['params'][182].grad", "L['self'].param_groups[0]['params'][183].grad", "L['self'].param_groups[0]['params'][184].grad", "L['self'].param_groups[0]['params'][185].grad", "L['self'].param_groups[0]['params'][186].grad", "L['self'].param_groups[0]['params'][187].grad", "L['self'].param_groups[0]['params'][188].grad", "L['self'].param_groups[0]['params'][189].grad", "L['self'].param_groups[0]['params'][190].grad", "L['self'].param_groups[0]['params'][191].grad", "L['self'].param_groups[0]['params'][192].grad", "L['self'].param_groups[0]['params'][193].grad", "L['self'].param_groups[0]['params'][194].grad", "L['self'].param_groups[0]['params'][195].grad", "L['self'].param_groups[0]['params'][196].grad", "L['self'].param_groups[0]['params'][197].grad", "L['self'].param_groups[0]['params'][198].grad", "L['self'].param_groups[0]['params'][199].grad", "L['self'].param_groups[0]['params'][200].grad", "L['self'].param_groups[0]['params'][201].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:19:12.9324113Z Compilation time (from dynamo_timed): 70.758149545 2025-01-24T04:19:12.9348591Z pass 2025-01-24T04:19:13.0012861Z TIMING: entire_frame_compile:62.37888 gc:0.00262 _recursive_pre_grad_passes:0.06193 pad_mm_benchmark:0.40358 _recursive_joint_graph_passes:1.83937 _recursive_post_grad_passes:0.71501 async_compile.wait:3.16811 code_gen:20.59624 inductor_compile:35.75544 backend_compile:48.73422 entire_backward_compile:8.37927 total_wall_time:70.75815 2025-01-24T04:19:13.0016658Z STATS: call_* op count: 1409 | FakeTensorMode.__torch_dispatch__:63090 | FakeTensor.__torch_dispatch__:14505 | ProxyTorchDispatchMode.__torch_dispatch__:28617 2025-01-24T04:19:13.0017941Z Dynamo produced 2 graphs covering 1409 ops with 5 graph breaks (4 unique) 2025-01-24T04:19:20.9709185Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:19:20.9711043Z warnings.warn( 2025-01-24T04:19:21.3205788Z 2025-01-24T04:19:23.8769015Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:19:23.8769387Z loading model: 0it [00:02, ?it/s] 2025-01-24T04:19:23.8769710Z cuda train DebertaForMaskedLM 2025-01-24T04:20:00.9822275Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:20:00.9824773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:20:00.9825495Z pred = mod(**cloned_inputs) 2025-01-24T04:20:00.9826150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta/modeling_deberta.py", line 1062, in forward 2025-01-24T04:20:00.9826809Z outputs = self.deberta( 2025-01-24T04:20:00.9827424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta/modeling_deberta.py", line 966, in forward 2025-01-24T04:20:00.9828091Z embedding_output = self.embeddings( 2025-01-24T04:20:00.9828760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta/modeling_deberta.py", line 780, in forward 2025-01-24T04:20:00.9829439Z inputs_embeds = self.word_embeddings(input_ids) 2025-01-24T04:20:00.9829681Z 2025-01-24T04:20:01.1344518Z W0124 04:20:01.133000 13827 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:20:02.5513001Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", "L['self'].param_groups[0]['params'][17].grad", 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"L['self'].param_groups[0]['params'][58].grad", "L['self'].param_groups[0]['params'][59].grad", "L['self'].param_groups[0]['params'][60].grad", "L['self'].param_groups[0]['params'][61].grad", "L['self'].param_groups[0]['params'][62].grad", "L['self'].param_groups[0]['params'][63].grad", "L['self'].param_groups[0]['params'][64].grad", "L['self'].param_groups[0]['params'][65].grad", "L['self'].param_groups[0]['params'][66].grad", "L['self'].param_groups[0]['params'][67].grad", "L['self'].param_groups[0]['params'][68].grad", "L['self'].param_groups[0]['params'][69].grad", "L['self'].param_groups[0]['params'][70].grad", "L['self'].param_groups[0]['params'][71].grad", "L['self'].param_groups[0]['params'][72].grad", "L['self'].param_groups[0]['params'][73].grad", "L['self'].param_groups[0]['params'][74].grad", "L['self'].param_groups[0]['params'][75].grad", "L['self'].param_groups[0]['params'][76].grad", "L['self'].param_groups[0]['params'][77].grad", 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"L['self'].param_groups[0]['params'][118].grad", "L['self'].param_groups[0]['params'][119].grad", "L['self'].param_groups[0]['params'][120].grad", "L['self'].param_groups[0]['params'][121].grad", "L['self'].param_groups[0]['params'][122].grad", "L['self'].param_groups[0]['params'][123].grad", "L['self'].param_groups[0]['params'][124].grad", "L['self'].param_groups[0]['params'][125].grad", "L['self'].param_groups[0]['params'][126].grad", "L['self'].param_groups[0]['params'][127].grad", "L['self'].param_groups[0]['params'][128].grad", "L['self'].param_groups[0]['params'][129].grad", "L['self'].param_groups[0]['params'][130].grad", "L['self'].param_groups[0]['params'][131].grad", "L['self'].param_groups[0]['params'][132].grad", "L['self'].param_groups[0]['params'][133].grad", "L['self'].param_groups[0]['params'][134].grad", "L['self'].param_groups[0]['params'][135].grad", "L['self'].param_groups[0]['params'][136].grad", "L['self'].param_groups[0]['params'][137].grad", "L['self'].param_groups[0]['params'][138].grad", "L['self'].param_groups[0]['params'][139].grad", "L['self'].param_groups[0]['params'][140].grad", "L['self'].param_groups[0]['params'][141].grad", "L['self'].param_groups[0]['params'][142].grad", "L['self'].param_groups[0]['params'][143].grad", "L['self'].param_groups[0]['params'][144].grad", "L['self'].param_groups[0]['params'][145].grad", "L['self'].param_groups[0]['params'][146].grad", "L['self'].param_groups[0]['params'][147].grad", "L['self'].param_groups[0]['params'][148].grad", "L['self'].param_groups[0]['params'][149].grad", "L['self'].param_groups[0]['params'][150].grad", "L['self'].param_groups[0]['params'][151].grad", "L['self'].param_groups[0]['params'][152].grad", "L['self'].param_groups[0]['params'][153].grad", "L['self'].param_groups[0]['params'][154].grad", "L['self'].param_groups[0]['params'][155].grad", "L['self'].param_groups[0]['params'][156].grad", "L['self'].param_groups[0]['params'][157].grad", "L['self'].param_groups[0]['params'][158].grad", "L['self'].param_groups[0]['params'][159].grad", "L['self'].param_groups[0]['params'][160].grad", "L['self'].param_groups[0]['params'][161].grad", "L['self'].param_groups[0]['params'][162].grad", "L['self'].param_groups[0]['params'][163].grad", "L['self'].param_groups[0]['params'][164].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:20:38.1763426Z Compilation time (from dynamo_timed): 67.804253852 2025-01-24T04:20:38.1786766Z pass 2025-01-24T04:20:38.2405965Z TIMING: entire_frame_compile:58.9088 gc:0.0043 _recursive_pre_grad_passes:0.06345 pad_mm_benchmark:0.82413 _recursive_joint_graph_passes:2.10276 _recursive_post_grad_passes:1.01321 async_compile.wait:4.97708 code_gen:21.14017 inductor_compile:35.04406 backend_compile:45.54708 entire_backward_compile:8.89545 total_wall_time:67.80425 2025-01-24T04:20:38.2407775Z STATS: call_* op count: 1650 | FakeTensorMode.__torch_dispatch__:64603 | FakeTensor.__torch_dispatch__:13234 | ProxyTorchDispatchMode.__torch_dispatch__:29501 2025-01-24T04:20:38.2408590Z Dynamo produced 2 graphs covering 1650 ops with 5 graph breaks (4 unique) 2025-01-24T04:20:46.1013319Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:20:46.1014754Z warnings.warn( 2025-01-24T04:20:46.4026033Z 2025-01-24T04:20:48.4828939Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:20:48.4829428Z loading model: 0it [00:02, ?it/s] 2025-01-24T04:20:48.4829796Z cuda train DebertaForQuestionAnswering 2025-01-24T04:21:23.7905345Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:21:23.7908327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:21:23.7909096Z pred = mod(**cloned_inputs) 2025-01-24T04:21:23.7909762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta/modeling_deberta.py", line 1388, in forward 2025-01-24T04:21:23.7910423Z outputs = self.deberta( 2025-01-24T04:21:23.7911421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta/modeling_deberta.py", line 966, in forward 2025-01-24T04:21:23.7912073Z embedding_output = self.embeddings( 2025-01-24T04:21:23.7912813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta/modeling_deberta.py", line 780, in forward 2025-01-24T04:21:23.7913500Z inputs_embeds = self.word_embeddings(input_ids) 2025-01-24T04:21:23.7913744Z 2025-01-24T04:21:23.9345356Z W0124 04:21:23.933000 14229 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:21:25.3219151Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", "L['self'].param_groups[0]['params'][17].grad", 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"L['self'].param_groups[0]['params'][138].grad", "L['self'].param_groups[0]['params'][139].grad", "L['self'].param_groups[0]['params'][140].grad", "L['self'].param_groups[0]['params'][141].grad", "L['self'].param_groups[0]['params'][142].grad", "L['self'].param_groups[0]['params'][143].grad", "L['self'].param_groups[0]['params'][144].grad", "L['self'].param_groups[0]['params'][145].grad", "L['self'].param_groups[0]['params'][146].grad", "L['self'].param_groups[0]['params'][147].grad", "L['self'].param_groups[0]['params'][148].grad", "L['self'].param_groups[0]['params'][149].grad", "L['self'].param_groups[0]['params'][150].grad", "L['self'].param_groups[0]['params'][151].grad", "L['self'].param_groups[0]['params'][152].grad", "L['self'].param_groups[0]['params'][153].grad", "L['self'].param_groups[0]['params'][154].grad", "L['self'].param_groups[0]['params'][155].grad", "L['self'].param_groups[0]['params'][156].grad", "L['self'].param_groups[0]['params'][157].grad", "L['self'].param_groups[0]['params'][158].grad", "L['self'].param_groups[0]['params'][159].grad", "L['self'].param_groups[0]['params'][160].grad", "L['self'].param_groups[0]['params'][161].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:21:58.6954551Z Compilation time (from dynamo_timed): 64.20123782099999 2025-01-24T04:21:58.6973566Z pass 2025-01-24T04:21:58.7654188Z TIMING: entire_frame_compile:55.45572 gc:0.00457 _recursive_pre_grad_passes:0.06297 pad_mm_benchmark:0.60438 _recursive_joint_graph_passes:1.86808 _recursive_post_grad_passes:1.01337 async_compile.wait:2.70921 code_gen:18.62175 inductor_compile:32.42802 backend_compile:42.63031 entire_backward_compile:8.74552 total_wall_time:64.20124 2025-01-24T04:21:58.7655882Z STATS: call_* op count: 1642 | FakeTensorMode.__torch_dispatch__:64063 | ProxyTorchDispatchMode.__torch_dispatch__:29281 | FakeTensor.__torch_dispatch__:13062 2025-01-24T04:21:58.7656708Z Dynamo produced 2 graphs covering 1642 ops with 5 graph breaks (4 unique) 2025-01-24T04:22:06.5665022Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:22:06.5667295Z warnings.warn( 2025-01-24T04:22:07.0921805Z 2025-01-24T04:22:19.5314699Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:22:19.5315060Z loading model: 0it [00:12, ?it/s] 2025-01-24T04:22:19.5315392Z cuda train DebertaV2ForMaskedLM 2025-01-24T04:22:19.5552024Z Compilation time (from dynamo_timed): 0 2025-01-24T04:22:19.5552445Z pass_due_to_skip 2025-01-24T04:22:19.7777391Z TIMING: total_wall_time:0 2025-01-24T04:22:19.7777695Z STATS: call_* op count: 0 2025-01-24T04:22:19.7778092Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-01-24T04:22:23.9962735Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:22:23.9963909Z warnings.warn( 2025-01-24T04:22:24.2996115Z 2025-01-24T04:22:34.6993271Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:22:34.6993941Z loading model: 0it [00:10, ?it/s] 2025-01-24T04:22:34.6994638Z cuda train DebertaV2ForQuestionAnswering 2025-01-24T04:22:45.3750030Z ERROR:common: 2025-01-24T04:22:45.3750386Z Traceback (most recent call last): 2025-01-24T04:22:45.3750924Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2988, in check_accuracy 2025-01-24T04:22:45.3751504Z correct_result = self.run_n_iterations( 2025-01-24T04:22:45.3752041Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2787, in run_n_iterations 2025-01-24T04:22:45.3752731Z self.model_iter_fn(mod, inputs, collect_outputs=False) 2025-01-24T04:22:45.3753496Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in forward_and_backward_pass 2025-01-24T04:22:45.3754320Z pred = mod(**cloned_inputs) 2025-01-24T04:22:45.3755109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1749, in _wrapped_call_impl 2025-01-24T04:22:45.3755775Z return self._call_impl(*args, **kwargs) 2025-01-24T04:22:45.3756375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1760, in _call_impl 2025-01-24T04:22:45.3756964Z return forward_call(*args, **kwargs) 2025-01-24T04:22:45.3757651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 1486, in forward 2025-01-24T04:22:45.3758764Z outputs = self.deberta( 2025-01-24T04:22:45.3759357Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1749, in _wrapped_call_impl 2025-01-24T04:22:45.3759983Z return self._call_impl(*args, **kwargs) 2025-01-24T04:22:45.3760570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1760, in _call_impl 2025-01-24T04:22:45.3761161Z return forward_call(*args, **kwargs) 2025-01-24T04:22:45.3761850Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 1070, in forward 2025-01-24T04:22:45.3762701Z encoder_outputs = self.encoder( 2025-01-24T04:22:45.3763312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1749, in _wrapped_call_impl 2025-01-24T04:22:45.3763943Z return self._call_impl(*args, **kwargs) 2025-01-24T04:22:45.3764530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1760, in _call_impl 2025-01-24T04:22:45.3765116Z return forward_call(*args, **kwargs) 2025-01-24T04:22:45.3765797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 514, in forward 2025-01-24T04:22:45.3766477Z output_states = layer_module( 2025-01-24T04:22:45.3767082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1749, in _wrapped_call_impl 2025-01-24T04:22:45.3767708Z return self._call_impl(*args, **kwargs) 2025-01-24T04:22:45.3768296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1760, in _call_impl 2025-01-24T04:22:45.3768898Z return forward_call(*args, **kwargs) 2025-01-24T04:22:45.3769575Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 362, in forward 2025-01-24T04:22:45.3770264Z attention_output = self.attention( 2025-01-24T04:22:45.3770882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1749, in _wrapped_call_impl 2025-01-24T04:22:45.3771511Z return self._call_impl(*args, **kwargs) 2025-01-24T04:22:45.3772093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1760, in _call_impl 2025-01-24T04:22:45.3772678Z return forward_call(*args, **kwargs) 2025-01-24T04:22:45.3773352Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 293, in forward 2025-01-24T04:22:45.3774023Z self_output = self.self( 2025-01-24T04:22:45.3774613Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1749, in _wrapped_call_impl 2025-01-24T04:22:45.3775251Z return self._call_impl(*args, **kwargs) 2025-01-24T04:22:45.3775839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1760, in _call_impl 2025-01-24T04:22:45.3776433Z return forward_call(*args, **kwargs) 2025-01-24T04:22:45.3777115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 733, in forward 2025-01-24T04:22:45.3777926Z attention_probs = XSoftmax.apply(attention_scores, attention_mask, -1) 2025-01-24T04:22:45.3778596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 575, in apply 2025-01-24T04:22:45.3779227Z return super().apply(*args, **kwargs) # type: ignore[misc] 2025-01-24T04:22:45.3779978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/deberta_v2/modeling_deberta_v2.py", line 113, in forward 2025-01-24T04:22:45.3780678Z output = torch.softmax(output, self.dim) 2025-01-24T04:22:45.3782628Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 24.00 MiB. GPU 0 has a total capacity of 21.98 GiB of which 10.44 MiB is free. Process 70801 has 21.96 GiB memory in use. Of the allocated memory 21.29 GiB is allocated by PyTorch, and 318.25 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-01-24T04:22:45.3995182Z Compilation time (from dynamo_timed): 0 2025-01-24T04:22:45.4329450Z eager_1st_run_OOM 2025-01-24T04:22:45.4329960Z TIMING: total_wall_time:0 2025-01-24T04:22:45.4330501Z STATS: call_* op count: 0 2025-01-24T04:22:45.4331556Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-01-24T04:22:49.7086398Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:22:49.7087601Z warnings.warn( 2025-01-24T04:22:50.2026573Z 2025-01-24T04:22:51.7175626Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:22:51.7175964Z loading model: 0it [00:01, ?it/s] 2025-01-24T04:22:51.7176292Z cuda train DistilBertForMaskedLM 2025-01-24T04:23:10.2739511Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:23:10.2741191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:23:10.2742554Z pred = mod(**cloned_inputs) 2025-01-24T04:23:10.2743934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 905, in forward 2025-01-24T04:23:10.2745302Z dlbrt_output = self.distilbert( 2025-01-24T04:23:10.2746213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 814, in forward 2025-01-24T04:23:10.2747049Z embeddings = self.embeddings(input_ids, inputs_embeds) # (bs, seq_length, dim) 2025-01-24T04:23:10.2747875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 141, in forward 2025-01-24T04:23:10.2748674Z input_embeds = self.word_embeddings(input_ids) # (bs, max_seq_length, dim) 2025-01-24T04:23:10.2748999Z 2025-01-24T04:23:10.4146663Z W0124 04:23:10.413000 14580 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:23:11.3410119Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", "L['self'].param_groups[0]['params'][17].grad", "L['self'].param_groups[0]['params'][18].grad", "L['self'].param_groups[0]['params'][19].grad", "L['self'].param_groups[0]['params'][20].grad", "L['self'].param_groups[0]['params'][21].grad", "L['self'].param_groups[0]['params'][22].grad", "L['self'].param_groups[0]['params'][23].grad", "L['self'].param_groups[0]['params'][24].grad", "L['self'].param_groups[0]['params'][25].grad", "L['self'].param_groups[0]['params'][26].grad", "L['self'].param_groups[0]['params'][27].grad", "L['self'].param_groups[0]['params'][28].grad", "L['self'].param_groups[0]['params'][29].grad", "L['self'].param_groups[0]['params'][30].grad", "L['self'].param_groups[0]['params'][31].grad", "L['self'].param_groups[0]['params'][32].grad", "L['self'].param_groups[0]['params'][33].grad", "L['self'].param_groups[0]['params'][34].grad", "L['self'].param_groups[0]['params'][35].grad", "L['self'].param_groups[0]['params'][36].grad", "L['self'].param_groups[0]['params'][37].grad", "L['self'].param_groups[0]['params'][38].grad", "L['self'].param_groups[0]['params'][39].grad", "L['self'].param_groups[0]['params'][40].grad", "L['self'].param_groups[0]['params'][41].grad", "L['self'].param_groups[0]['params'][42].grad", "L['self'].param_groups[0]['params'][43].grad", "L['self'].param_groups[0]['params'][44].grad", "L['self'].param_groups[0]['params'][45].grad", "L['self'].param_groups[0]['params'][46].grad", "L['self'].param_groups[0]['params'][47].grad", "L['self'].param_groups[0]['params'][48].grad", "L['self'].param_groups[0]['params'][49].grad", "L['self'].param_groups[0]['params'][50].grad", "L['self'].param_groups[0]['params'][51].grad", "L['self'].param_groups[0]['params'][52].grad", "L['self'].param_groups[0]['params'][53].grad", "L['self'].param_groups[0]['params'][54].grad", "L['self'].param_groups[0]['params'][55].grad", "L['self'].param_groups[0]['params'][56].grad", "L['self'].param_groups[0]['params'][57].grad", "L['self'].param_groups[0]['params'][58].grad", "L['self'].param_groups[0]['params'][59].grad", "L['self'].param_groups[0]['params'][60].grad", "L['self'].param_groups[0]['params'][61].grad", "L['self'].param_groups[0]['params'][62].grad", "L['self'].param_groups[0]['params'][63].grad", "L['self'].param_groups[0]['params'][64].grad", "L['self'].param_groups[0]['params'][65].grad", "L['self'].param_groups[0]['params'][66].grad", "L['self'].param_groups[0]['params'][67].grad", "L['self'].param_groups[0]['params'][68].grad", "L['self'].param_groups[0]['params'][69].grad", "L['self'].param_groups[0]['params'][70].grad", "L['self'].param_groups[0]['params'][71].grad", "L['self'].param_groups[0]['params'][72].grad", "L['self'].param_groups[0]['params'][73].grad", "L['self'].param_groups[0]['params'][74].grad", "L['self'].param_groups[0]['params'][75].grad", "L['self'].param_groups[0]['params'][76].grad", "L['self'].param_groups[0]['params'][77].grad", "L['self'].param_groups[0]['params'][78].grad", "L['self'].param_groups[0]['params'][79].grad", "L['self'].param_groups[0]['params'][80].grad", "L['self'].param_groups[0]['params'][81].grad", "L['self'].param_groups[0]['params'][82].grad", "L['self'].param_groups[0]['params'][83].grad", "L['self'].param_groups[0]['params'][84].grad", "L['self'].param_groups[0]['params'][85].grad", "L['self'].param_groups[0]['params'][86].grad", "L['self'].param_groups[0]['params'][87].grad", "L['self'].param_groups[0]['params'][88].grad", "L['self'].param_groups[0]['params'][89].grad", "L['self'].param_groups[0]['params'][90].grad", "L['self'].param_groups[0]['params'][91].grad", "L['self'].param_groups[0]['params'][92].grad", "L['self'].param_groups[0]['params'][93].grad", "L['self'].param_groups[0]['params'][94].grad", "L['self'].param_groups[0]['params'][95].grad", "L['self'].param_groups[0]['params'][96].grad", "L['self'].param_groups[0]['params'][97].grad", "L['self'].param_groups[0]['params'][98].grad", "L['self'].param_groups[0]['params'][99].grad", "L['self'].param_groups[0]['params'][100].grad", "L['self'].param_groups[0]['params'][101].grad", "L['self'].param_groups[0]['params'][102].grad", "L['self'].param_groups[0]['params'][103].grad", "L['self'].param_groups[0]['params'][104].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:23:34.3855157Z Compilation time (from dynamo_timed): 39.216457247 2025-01-24T04:23:34.3867043Z pass 2025-01-24T04:23:34.4278232Z TIMING: entire_frame_compile:34.86403 gc:0.00368 _recursive_pre_grad_passes:0.03545 pad_mm_benchmark:0.2953 _recursive_joint_graph_passes:1.07807 _recursive_post_grad_passes:0.66949 async_compile.wait:3.71207 code_gen:12.54171 inductor_compile:20.73486 backend_compile:27.91955 entire_backward_compile:4.35242 total_wall_time:39.21646 2025-01-24T04:23:34.4280296Z STATS: call_* op count: 752 | FakeTensorMode.__torch_dispatch__:33631 | FakeTensor.__torch_dispatch__:7550 | ProxyTorchDispatchMode.__torch_dispatch__:15043 2025-01-24T04:23:34.4281092Z Dynamo produced 2 graphs covering 752 ops with 5 graph breaks (4 unique) 2025-01-24T04:23:40.9663833Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:23:40.9665743Z warnings.warn( 2025-01-24T04:23:41.2438959Z 2025-01-24T04:23:42.6211766Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:23:42.6212204Z loading model: 0it [00:01, ?it/s] 2025-01-24T04:23:42.6212585Z cuda train DistilBertForQuestionAnswering 2025-01-24T04:24:00.4401158Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:24:00.4402015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:24:00.4402705Z pred = mod(**cloned_inputs) 2025-01-24T04:24:00.4403389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 1124, in forward 2025-01-24T04:24:00.4404086Z distilbert_output = self.distilbert( 2025-01-24T04:24:00.4404799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 814, in forward 2025-01-24T04:24:00.4405611Z embeddings = self.embeddings(input_ids, inputs_embeds) # (bs, seq_length, dim) 2025-01-24T04:24:00.4406416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 141, in forward 2025-01-24T04:24:00.4407217Z input_embeds = self.word_embeddings(input_ids) # (bs, max_seq_length, dim) 2025-01-24T04:24:00.4407765Z 2025-01-24T04:24:00.5664732Z W0124 04:24:00.565000 14928 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:24:01.4699700Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", "L['self'].param_groups[0]['params'][17].grad", "L['self'].param_groups[0]['params'][18].grad", "L['self'].param_groups[0]['params'][19].grad", "L['self'].param_groups[0]['params'][20].grad", "L['self'].param_groups[0]['params'][21].grad", "L['self'].param_groups[0]['params'][22].grad", "L['self'].param_groups[0]['params'][23].grad", "L['self'].param_groups[0]['params'][24].grad", "L['self'].param_groups[0]['params'][25].grad", "L['self'].param_groups[0]['params'][26].grad", "L['self'].param_groups[0]['params'][27].grad", "L['self'].param_groups[0]['params'][28].grad", "L['self'].param_groups[0]['params'][29].grad", "L['self'].param_groups[0]['params'][30].grad", "L['self'].param_groups[0]['params'][31].grad", "L['self'].param_groups[0]['params'][32].grad", "L['self'].param_groups[0]['params'][33].grad", "L['self'].param_groups[0]['params'][34].grad", "L['self'].param_groups[0]['params'][35].grad", "L['self'].param_groups[0]['params'][36].grad", "L['self'].param_groups[0]['params'][37].grad", "L['self'].param_groups[0]['params'][38].grad", "L['self'].param_groups[0]['params'][39].grad", "L['self'].param_groups[0]['params'][40].grad", "L['self'].param_groups[0]['params'][41].grad", "L['self'].param_groups[0]['params'][42].grad", "L['self'].param_groups[0]['params'][43].grad", "L['self'].param_groups[0]['params'][44].grad", "L['self'].param_groups[0]['params'][45].grad", "L['self'].param_groups[0]['params'][46].grad", "L['self'].param_groups[0]['params'][47].grad", "L['self'].param_groups[0]['params'][48].grad", "L['self'].param_groups[0]['params'][49].grad", "L['self'].param_groups[0]['params'][50].grad", "L['self'].param_groups[0]['params'][51].grad", "L['self'].param_groups[0]['params'][52].grad", "L['self'].param_groups[0]['params'][53].grad", "L['self'].param_groups[0]['params'][54].grad", "L['self'].param_groups[0]['params'][55].grad", "L['self'].param_groups[0]['params'][56].grad", "L['self'].param_groups[0]['params'][57].grad", "L['self'].param_groups[0]['params'][58].grad", "L['self'].param_groups[0]['params'][59].grad", "L['self'].param_groups[0]['params'][60].grad", "L['self'].param_groups[0]['params'][61].grad", "L['self'].param_groups[0]['params'][62].grad", "L['self'].param_groups[0]['params'][63].grad", "L['self'].param_groups[0]['params'][64].grad", "L['self'].param_groups[0]['params'][65].grad", "L['self'].param_groups[0]['params'][66].grad", "L['self'].param_groups[0]['params'][67].grad", "L['self'].param_groups[0]['params'][68].grad", "L['self'].param_groups[0]['params'][69].grad", "L['self'].param_groups[0]['params'][70].grad", "L['self'].param_groups[0]['params'][71].grad", "L['self'].param_groups[0]['params'][72].grad", "L['self'].param_groups[0]['params'][73].grad", "L['self'].param_groups[0]['params'][74].grad", "L['self'].param_groups[0]['params'][75].grad", "L['self'].param_groups[0]['params'][76].grad", "L['self'].param_groups[0]['params'][77].grad", "L['self'].param_groups[0]['params'][78].grad", "L['self'].param_groups[0]['params'][79].grad", "L['self'].param_groups[0]['params'][80].grad", "L['self'].param_groups[0]['params'][81].grad", "L['self'].param_groups[0]['params'][82].grad", "L['self'].param_groups[0]['params'][83].grad", "L['self'].param_groups[0]['params'][84].grad", "L['self'].param_groups[0]['params'][85].grad", "L['self'].param_groups[0]['params'][86].grad", "L['self'].param_groups[0]['params'][87].grad", "L['self'].param_groups[0]['params'][88].grad", "L['self'].param_groups[0]['params'][89].grad", "L['self'].param_groups[0]['params'][90].grad", "L['self'].param_groups[0]['params'][91].grad", "L['self'].param_groups[0]['params'][92].grad", "L['self'].param_groups[0]['params'][93].grad", "L['self'].param_groups[0]['params'][94].grad", "L['self'].param_groups[0]['params'][95].grad", "L['self'].param_groups[0]['params'][96].grad", "L['self'].param_groups[0]['params'][97].grad", "L['self'].param_groups[0]['params'][98].grad", "L['self'].param_groups[0]['params'][99].grad", "L['self'].param_groups[0]['params'][100].grad", "L['self'].param_groups[0]['params'][101].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:24:21.8850812Z Compilation time (from dynamo_timed): 35.945575903 2025-01-24T04:24:21.8864456Z pass 2025-01-24T04:24:21.9263790Z TIMING: entire_frame_compile:31.81397 gc:0.00406 _recursive_pre_grad_passes:0.03488 pad_mm_benchmark:0.28679 _recursive_joint_graph_passes:1.04879 _recursive_post_grad_passes:0.66427 async_compile.wait:1.40226 code_gen:9.87448 inductor_compile:17.83684 backend_compile:24.99085 entire_backward_compile:4.13161 total_wall_time:35.94558 2025-01-24T04:24:21.9266744Z STATS: call_* op count: 745 | FakeTensorMode.__torch_dispatch__:33176 | FakeTensor.__torch_dispatch__:7402 | ProxyTorchDispatchMode.__torch_dispatch__:14854 2025-01-24T04:24:21.9267945Z Dynamo produced 2 graphs covering 745 ops with 5 graph breaks (4 unique) 2025-01-24T04:24:28.4728098Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:24:28.4729447Z warnings.warn( 2025-01-24T04:24:28.7910608Z 2025-01-24T04:24:30.8285180Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:24:30.8285664Z loading model: 0it [00:02, ?it/s] 2025-01-24T04:24:30.8286428Z cuda train DistillGPT2 2025-01-24T04:24:49.4027210Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:24:49.4028885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:24:49.4030633Z pred = mod(**cloned_inputs) 2025-01-24T04:24:49.4032487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1074, in forward 2025-01-24T04:24:49.4033812Z transformer_outputs = self.transformer( 2025-01-24T04:24:49.4034645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 837, in forward 2025-01-24T04:24:49.4035279Z inputs_embeds = self.wte(input_ids) 2025-01-24T04:24:49.4035490Z 2025-01-24T04:24:49.5194797Z W0124 04:24:49.518000 15201 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:24:50.1902540Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", "L['self'].param_groups[0]['params'][17].grad", "L['self'].param_groups[0]['params'][18].grad", "L['self'].param_groups[0]['params'][19].grad", "L['self'].param_groups[0]['params'][20].grad", "L['self'].param_groups[0]['params'][21].grad", "L['self'].param_groups[0]['params'][22].grad", "L['self'].param_groups[0]['params'][23].grad", "L['self'].param_groups[0]['params'][24].grad", "L['self'].param_groups[0]['params'][25].grad", "L['self'].param_groups[0]['params'][26].grad", "L['self'].param_groups[0]['params'][27].grad", "L['self'].param_groups[0]['params'][28].grad", "L['self'].param_groups[0]['params'][29].grad", "L['self'].param_groups[0]['params'][30].grad", "L['self'].param_groups[0]['params'][31].grad", "L['self'].param_groups[0]['params'][32].grad", "L['self'].param_groups[0]['params'][33].grad", "L['self'].param_groups[0]['params'][34].grad", "L['self'].param_groups[0]['params'][35].grad", "L['self'].param_groups[0]['params'][36].grad", "L['self'].param_groups[0]['params'][37].grad", "L['self'].param_groups[0]['params'][38].grad", "L['self'].param_groups[0]['params'][39].grad", "L['self'].param_groups[0]['params'][40].grad", "L['self'].param_groups[0]['params'][41].grad", "L['self'].param_groups[0]['params'][42].grad", "L['self'].param_groups[0]['params'][43].grad", "L['self'].param_groups[0]['params'][44].grad", "L['self'].param_groups[0]['params'][45].grad", "L['self'].param_groups[0]['params'][46].grad", "L['self'].param_groups[0]['params'][47].grad", "L['self'].param_groups[0]['params'][48].grad", "L['self'].param_groups[0]['params'][49].grad", "L['self'].param_groups[0]['params'][50].grad", "L['self'].param_groups[0]['params'][51].grad", "L['self'].param_groups[0]['params'][52].grad", "L['self'].param_groups[0]['params'][53].grad", "L['self'].param_groups[0]['params'][54].grad", "L['self'].param_groups[0]['params'][55].grad", "L['self'].param_groups[0]['params'][56].grad", "L['self'].param_groups[0]['params'][57].grad", "L['self'].param_groups[0]['params'][58].grad", "L['self'].param_groups[0]['params'][59].grad", "L['self'].param_groups[0]['params'][60].grad", "L['self'].param_groups[0]['params'][61].grad", "L['self'].param_groups[0]['params'][62].grad", "L['self'].param_groups[0]['params'][63].grad", "L['self'].param_groups[0]['params'][64].grad", "L['self'].param_groups[0]['params'][65].grad", "L['self'].param_groups[0]['params'][66].grad", "L['self'].param_groups[0]['params'][67].grad", "L['self'].param_groups[0]['params'][68].grad", "L['self'].param_groups[0]['params'][69].grad", "L['self'].param_groups[0]['params'][70].grad", "L['self'].param_groups[0]['params'][71].grad", "L['self'].param_groups[0]['params'][72].grad", "L['self'].param_groups[0]['params'][73].grad", "L['self'].param_groups[0]['params'][74].grad", "L['self'].param_groups[0]['params'][75].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:25:07.5029611Z Compilation time (from dynamo_timed): 32.498925139 2025-01-24T04:25:07.5041021Z pass 2025-01-24T04:25:07.5403850Z TIMING: entire_frame_compile:27.77425 gc:0.0031 _recursive_pre_grad_passes:0.03232 pad_mm_benchmark:0.31564 _recursive_joint_graph_passes:0.95618 _recursive_post_grad_passes:0.32935 async_compile.wait:3.9098 code_gen:11.26774 inductor_compile:17.62884 backend_compile:22.11106 entire_backward_compile:4.72468 total_wall_time:32.49893 2025-01-24T04:25:07.5407084Z STATS: call_* op count: 725 | FakeTensorMode.__torch_dispatch__:27289 | FakeTensor.__torch_dispatch__:6096 | ProxyTorchDispatchMode.__torch_dispatch__:12087 2025-01-24T04:25:07.5409036Z Dynamo produced 2 graphs covering 725 ops with 5 graph breaks (4 unique) 2025-01-24T04:25:13.8509250Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:25:13.8510422Z warnings.warn( 2025-01-24T04:25:14.1610011Z 2025-01-24T04:25:14.1618360Z loading model: 0it [00:00, ?it/s]If you want to use `ElectraForCausalLM` as a standalone, add `is_decoder=True.` 2025-01-24T04:25:14.9543876Z 2025-01-24T04:25:14.9544258Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:25:14.9544641Z cuda train ElectraForCausalLM 2025-01-24T04:25:48.0294675Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:25:48.0295564Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:25:48.0296256Z pred = mod(**cloned_inputs) 2025-01-24T04:25:48.0296915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 1617, in forward 2025-01-24T04:25:48.0297571Z outputs = self.electra( 2025-01-24T04:25:48.0298191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 902, in forward 2025-01-24T04:25:48.0298843Z hidden_states = self.embeddings( 2025-01-24T04:25:48.0299491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 203, in forward 2025-01-24T04:25:48.0300173Z inputs_embeds = self.word_embeddings(input_ids) 2025-01-24T04:25:48.0300420Z 2025-01-24T04:25:48.8194379Z Compilation time (from dynamo_timed): 30.863609523999997 2025-01-24T04:25:48.8217969Z pass 2025-01-24T04:25:48.8410414Z TIMING: entire_frame_compile:22.30781 gc:0.00105 _recursive_pre_grad_passes:0.01387 pad_mm_benchmark:0.3754 _recursive_joint_graph_passes:1.60777 _recursive_post_grad_passes:0.54061 async_compile.wait:0.49898 code_gen:7.88539 inductor_compile:14.8604 backend_compile:16.41043 entire_backward_compile:8.5558 total_wall_time:30.86361 2025-01-24T04:25:48.8412078Z STATS: call_* op count: 377 | FakeTensorMode.__torch_dispatch__:39338 | FakeTensor.__torch_dispatch__:5615 | ProxyTorchDispatchMode.__torch_dispatch__:17991 2025-01-24T04:25:48.8412875Z Dynamo produced 1 graphs covering 377 ops with 4 graph breaks (4 unique) 2025-01-24T04:25:55.1955457Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:25:55.1956653Z warnings.warn( 2025-01-24T04:25:55.6346043Z 2025-01-24T04:25:56.4158305Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:25:56.4159180Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:25:56.4160045Z cuda train ElectraForQuestionAnswering 2025-01-24T04:26:29.0345019Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:26:29.0346914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:26:29.0347645Z pred = mod(**cloned_inputs) 2025-01-24T04:26:29.0348338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 1385, in forward 2025-01-24T04:26:29.0349033Z discriminator_hidden_states = self.electra( 2025-01-24T04:26:29.0349707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 902, in forward 2025-01-24T04:26:29.0350377Z hidden_states = self.embeddings( 2025-01-24T04:26:29.0351020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/electra/modeling_electra.py", line 203, in forward 2025-01-24T04:26:29.0351706Z inputs_embeds = self.word_embeddings(input_ids) 2025-01-24T04:26:29.0351947Z 2025-01-24T04:26:29.1897291Z W0124 04:26:29.188000 15863 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:26:30.9069095Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", "L['self'].param_groups[0]['params'][17].grad", "L['self'].param_groups[0]['params'][18].grad", "L['self'].param_groups[0]['params'][19].grad", "L['self'].param_groups[0]['params'][20].grad", "L['self'].param_groups[0]['params'][21].grad", "L['self'].param_groups[0]['params'][22].grad", "L['self'].param_groups[0]['params'][23].grad", "L['self'].param_groups[0]['params'][24].grad", "L['self'].param_groups[0]['params'][25].grad", "L['self'].param_groups[0]['params'][26].grad", "L['self'].param_groups[0]['params'][27].grad", "L['self'].param_groups[0]['params'][28].grad", "L['self'].param_groups[0]['params'][29].grad", "L['self'].param_groups[0]['params'][30].grad", "L['self'].param_groups[0]['params'][31].grad", "L['self'].param_groups[0]['params'][32].grad", "L['self'].param_groups[0]['params'][33].grad", "L['self'].param_groups[0]['params'][34].grad", "L['self'].param_groups[0]['params'][35].grad", "L['self'].param_groups[0]['params'][36].grad", "L['self'].param_groups[0]['params'][37].grad", "L['self'].param_groups[0]['params'][38].grad", "L['self'].param_groups[0]['params'][39].grad", "L['self'].param_groups[0]['params'][40].grad", "L['self'].param_groups[0]['params'][41].grad", "L['self'].param_groups[0]['params'][42].grad", "L['self'].param_groups[0]['params'][43].grad", "L['self'].param_groups[0]['params'][44].grad", "L['self'].param_groups[0]['params'][45].grad", "L['self'].param_groups[0]['params'][46].grad", "L['self'].param_groups[0]['params'][47].grad", "L['self'].param_groups[0]['params'][48].grad", "L['self'].param_groups[0]['params'][49].grad", "L['self'].param_groups[0]['params'][50].grad", "L['self'].param_groups[0]['params'][51].grad", "L['self'].param_groups[0]['params'][52].grad", "L['self'].param_groups[0]['params'][53].grad", "L['self'].param_groups[0]['params'][54].grad", "L['self'].param_groups[0]['params'][55].grad", "L['self'].param_groups[0]['params'][56].grad", 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"L['self'].param_groups[0]['params'][177].grad", "L['self'].param_groups[0]['params'][178].grad", "L['self'].param_groups[0]['params'][179].grad", "L['self'].param_groups[0]['params'][180].grad", "L['self'].param_groups[0]['params'][181].grad", "L['self'].param_groups[0]['params'][182].grad", "L['self'].param_groups[0]['params'][183].grad", "L['self'].param_groups[0]['params'][184].grad", "L['self'].param_groups[0]['params'][185].grad", "L['self'].param_groups[0]['params'][186].grad", "L['self'].param_groups[0]['params'][187].grad", "L['self'].param_groups[0]['params'][188].grad", "L['self'].param_groups[0]['params'][189].grad", "L['self'].param_groups[0]['params'][190].grad", "L['self'].param_groups[0]['params'][191].grad", "L['self'].param_groups[0]['params'][192].grad", "L['self'].param_groups[0]['params'][193].grad", "L['self'].param_groups[0]['params'][194].grad", "L['self'].param_groups[0]['params'][195].grad", "L['self'].param_groups[0]['params'][196].grad", "L['self'].param_groups[0]['params'][197].grad", "L['self'].param_groups[0]['params'][198].grad", "L['self'].param_groups[0]['params'][199].grad", "L['self'].param_groups[0]['params'][200].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:27:13.3737870Z Compilation time (from dynamo_timed): 72.192400419 2025-01-24T04:27:13.3761660Z pass 2025-01-24T04:27:13.3914640Z TIMING: entire_frame_compile:63.84262 gc:0.00493 _recursive_pre_grad_passes:0.0619 pad_mm_benchmark:0.37282 _recursive_joint_graph_passes:1.79644 _recursive_post_grad_passes:0.72317 async_compile.wait:4.70881 code_gen:22.20883 inductor_compile:37.34148 backend_compile:50.34555 entire_backward_compile:8.34978 total_wall_time:72.1924 2025-01-24T04:27:13.3918109Z STATS: call_* op count: 1404 | FakeTensorMode.__torch_dispatch__:63032 | FakeTensor.__torch_dispatch__:14473 | ProxyTorchDispatchMode.__torch_dispatch__:28571 2025-01-24T04:27:13.3918954Z Dynamo produced 2 graphs covering 1404 ops with 5 graph breaks (4 unique) 2025-01-24T04:27:21.3838760Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:27:21.3840085Z warnings.warn( 2025-01-24T04:27:21.6223970Z 2025-01-24T04:27:23.9449845Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:27:23.9450211Z loading model: 0it [00:02, ?it/s] 2025-01-24T04:27:23.9450561Z cuda train GPT2ForSequenceClassification 2025-01-24T04:27:56.8238601Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:27:56.8241273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:27:56.8242028Z pred = mod(**cloned_inputs) 2025-01-24T04:27:56.8242670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1426, in forward 2025-01-24T04:27:56.8243343Z transformer_outputs = self.transformer( 2025-01-24T04:27:56.8243997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 837, in forward 2025-01-24T04:27:56.8244627Z inputs_embeds = self.wte(input_ids) 2025-01-24T04:27:56.8244848Z 2025-01-24T04:27:56.9141442Z W0124 04:27:56.913000 16222 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:27:58.1954627Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", "L['self'].param_groups[0]['params'][17].grad", "L['self'].param_groups[0]['params'][18].grad", "L['self'].param_groups[0]['params'][19].grad", "L['self'].param_groups[0]['params'][20].grad", "L['self'].param_groups[0]['params'][21].grad", "L['self'].param_groups[0]['params'][22].grad", "L['self'].param_groups[0]['params'][23].grad", "L['self'].param_groups[0]['params'][24].grad", "L['self'].param_groups[0]['params'][25].grad", "L['self'].param_groups[0]['params'][26].grad", "L['self'].param_groups[0]['params'][27].grad", "L['self'].param_groups[0]['params'][28].grad", "L['self'].param_groups[0]['params'][29].grad", "L['self'].param_groups[0]['params'][30].grad", "L['self'].param_groups[0]['params'][31].grad", "L['self'].param_groups[0]['params'][32].grad", "L['self'].param_groups[0]['params'][33].grad", "L['self'].param_groups[0]['params'][34].grad", "L['self'].param_groups[0]['params'][35].grad", "L['self'].param_groups[0]['params'][36].grad", "L['self'].param_groups[0]['params'][37].grad", "L['self'].param_groups[0]['params'][38].grad", "L['self'].param_groups[0]['params'][39].grad", "L['self'].param_groups[0]['params'][40].grad", "L['self'].param_groups[0]['params'][41].grad", "L['self'].param_groups[0]['params'][42].grad", "L['self'].param_groups[0]['params'][43].grad", "L['self'].param_groups[0]['params'][44].grad", "L['self'].param_groups[0]['params'][45].grad", "L['self'].param_groups[0]['params'][46].grad", "L['self'].param_groups[0]['params'][47].grad", "L['self'].param_groups[0]['params'][48].grad", "L['self'].param_groups[0]['params'][49].grad", "L['self'].param_groups[0]['params'][50].grad", "L['self'].param_groups[0]['params'][51].grad", "L['self'].param_groups[0]['params'][52].grad", "L['self'].param_groups[0]['params'][53].grad", "L['self'].param_groups[0]['params'][54].grad", "L['self'].param_groups[0]['params'][55].grad", "L['self'].param_groups[0]['params'][56].grad", "L['self'].param_groups[0]['params'][57].grad", "L['self'].param_groups[0]['params'][58].grad", "L['self'].param_groups[0]['params'][59].grad", "L['self'].param_groups[0]['params'][60].grad", "L['self'].param_groups[0]['params'][61].grad", "L['self'].param_groups[0]['params'][62].grad", "L['self'].param_groups[0]['params'][63].grad", "L['self'].param_groups[0]['params'][64].grad", "L['self'].param_groups[0]['params'][65].grad", "L['self'].param_groups[0]['params'][66].grad", "L['self'].param_groups[0]['params'][67].grad", "L['self'].param_groups[0]['params'][68].grad", "L['self'].param_groups[0]['params'][69].grad", "L['self'].param_groups[0]['params'][70].grad", "L['self'].param_groups[0]['params'][71].grad", "L['self'].param_groups[0]['params'][72].grad", "L['self'].param_groups[0]['params'][73].grad", "L['self'].param_groups[0]['params'][74].grad", "L['self'].param_groups[0]['params'][75].grad", "L['self'].param_groups[0]['params'][76].grad", "L['self'].param_groups[0]['params'][77].grad", "L['self'].param_groups[0]['params'][78].grad", "L['self'].param_groups[0]['params'][79].grad", "L['self'].param_groups[0]['params'][80].grad", "L['self'].param_groups[0]['params'][81].grad", "L['self'].param_groups[0]['params'][82].grad", "L['self'].param_groups[0]['params'][83].grad", "L['self'].param_groups[0]['params'][84].grad", "L['self'].param_groups[0]['params'][85].grad", "L['self'].param_groups[0]['params'][86].grad", "L['self'].param_groups[0]['params'][87].grad", "L['self'].param_groups[0]['params'][88].grad", "L['self'].param_groups[0]['params'][89].grad", "L['self'].param_groups[0]['params'][90].grad", "L['self'].param_groups[0]['params'][91].grad", "L['self'].param_groups[0]['params'][92].grad", "L['self'].param_groups[0]['params'][93].grad", "L['self'].param_groups[0]['params'][94].grad", "L['self'].param_groups[0]['params'][95].grad", "L['self'].param_groups[0]['params'][96].grad", "L['self'].param_groups[0]['params'][97].grad", "L['self'].param_groups[0]['params'][98].grad", "L['self'].param_groups[0]['params'][99].grad", "L['self'].param_groups[0]['params'][100].grad", "L['self'].param_groups[0]['params'][101].grad", "L['self'].param_groups[0]['params'][102].grad", "L['self'].param_groups[0]['params'][103].grad", "L['self'].param_groups[0]['params'][104].grad", "L['self'].param_groups[0]['params'][105].grad", "L['self'].param_groups[0]['params'][106].grad", "L['self'].param_groups[0]['params'][107].grad", "L['self'].param_groups[0]['params'][108].grad", "L['self'].param_groups[0]['params'][109].grad", "L['self'].param_groups[0]['params'][110].grad", "L['self'].param_groups[0]['params'][111].grad", "L['self'].param_groups[0]['params'][112].grad", "L['self'].param_groups[0]['params'][113].grad", "L['self'].param_groups[0]['params'][114].grad", "L['self'].param_groups[0]['params'][115].grad", "L['self'].param_groups[0]['params'][116].grad", "L['self'].param_groups[0]['params'][117].grad", "L['self'].param_groups[0]['params'][118].grad", "L['self'].param_groups[0]['params'][119].grad", "L['self'].param_groups[0]['params'][120].grad", "L['self'].param_groups[0]['params'][121].grad", "L['self'].param_groups[0]['params'][122].grad", "L['self'].param_groups[0]['params'][123].grad", "L['self'].param_groups[0]['params'][124].grad", "L['self'].param_groups[0]['params'][125].grad", "L['self'].param_groups[0]['params'][126].grad", "L['self'].param_groups[0]['params'][127].grad", "L['self'].param_groups[0]['params'][128].grad", "L['self'].param_groups[0]['params'][129].grad", "L['self'].param_groups[0]['params'][130].grad", "L['self'].param_groups[0]['params'][131].grad", "L['self'].param_groups[0]['params'][132].grad", "L['self'].param_groups[0]['params'][133].grad", "L['self'].param_groups[0]['params'][134].grad", "L['self'].param_groups[0]['params'][135].grad", "L['self'].param_groups[0]['params'][136].grad", "L['self'].param_groups[0]['params'][137].grad", "L['self'].param_groups[0]['params'][138].grad", "L['self'].param_groups[0]['params'][139].grad", "L['self'].param_groups[0]['params'][140].grad", "L['self'].param_groups[0]['params'][141].grad", "L['self'].param_groups[0]['params'][142].grad", "L['self'].param_groups[0]['params'][143].grad", "L['self'].param_groups[0]['params'][144].grad", "L['self'].param_groups[0]['params'][145].grad", "L['self'].param_groups[0]['params'][146].grad", "L['self'].param_groups[0]['params'][147].grad", "L['self'].param_groups[0]['params'][148].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:28:30.5829309Z Compilation time (from dynamo_timed): 59.150800401000005 2025-01-24T04:28:30.5852178Z pass 2025-01-24T04:28:30.6651989Z TIMING: entire_frame_compile:51.20963 gc:0.00364 _recursive_pre_grad_passes:0.05729 pad_mm_benchmark:0.33011 _recursive_joint_graph_passes:1.66989 _recursive_post_grad_passes:0.62548 async_compile.wait:5.20442 code_gen:19.87372 inductor_compile:31.53827 backend_compile:41.00422 entire_backward_compile:7.94117 total_wall_time:59.1508 2025-01-24T04:28:30.6655294Z STATS: call_* op count: 1399 | FakeTensorMode.__torch_dispatch__:52180 | FakeTensor.__torch_dispatch__:11793 | ProxyTorchDispatchMode.__torch_dispatch__:23402 2025-01-24T04:28:30.6656923Z Dynamo produced 2 graphs covering 1399 ops with 5 graph breaks (4 unique) 2025-01-24T04:28:38.0643760Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:28:38.0645027Z warnings.warn( 2025-01-24T04:28:38.3250623Z 2025-01-24T04:28:39.7389997Z loading model: 0it [00:00, ?it/s]WARNING:common:Model GoogleFnet supports float32 only 2025-01-24T04:28:40.0073657Z 2025-01-24T04:28:40.0074202Z loading model: 0it [00:01, ?it/s] 2025-01-24T04:28:40.0074615Z WARNING:common:Model GoogleFnet supports float32 only 2025-01-24T04:28:40.0084890Z cuda train GoogleFnet 2025-01-24T04:28:41.3747467Z WARNING:common:Model GoogleFnet supports float32 only 2025-01-24T04:28:58.8450662Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:28:58.8451715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:28:58.8452416Z pred = mod(**cloned_inputs) 2025-01-24T04:28:58.8453076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/fnet/modeling_fnet.py", line 749, in forward 2025-01-24T04:28:58.8453703Z outputs = self.fnet( 2025-01-24T04:28:58.8454294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/fnet/modeling_fnet.py", line 581, in forward 2025-01-24T04:28:58.8455270Z embedding_output = self.embeddings( 2025-01-24T04:28:58.8455903Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/fnet/modeling_fnet.py", line 148, in forward 2025-01-24T04:28:58.8456590Z inputs_embeds = self.word_embeddings(input_ids) 2025-01-24T04:28:58.8456864Z 2025-01-24T04:28:58.9778603Z W0124 04:28:58.976000 16639 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:28:59.8824294Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", "L['self'].param_groups[0]['params'][17].grad", "L['self'].param_groups[0]['params'][18].grad", "L['self'].param_groups[0]['params'][19].grad", "L['self'].param_groups[0]['params'][20].grad", "L['self'].param_groups[0]['params'][21].grad", "L['self'].param_groups[0]['params'][22].grad", "L['self'].param_groups[0]['params'][23].grad", "L['self'].param_groups[0]['params'][24].grad", "L['self'].param_groups[0]['params'][25].grad", "L['self'].param_groups[0]['params'][26].grad", "L['self'].param_groups[0]['params'][27].grad", "L['self'].param_groups[0]['params'][28].grad", "L['self'].param_groups[0]['params'][29].grad", "L['self'].param_groups[0]['params'][30].grad", "L['self'].param_groups[0]['params'][31].grad", "L['self'].param_groups[0]['params'][32].grad", "L['self'].param_groups[0]['params'][33].grad", "L['self'].param_groups[0]['params'][34].grad", "L['self'].param_groups[0]['params'][35].grad", "L['self'].param_groups[0]['params'][36].grad", "L['self'].param_groups[0]['params'][37].grad", "L['self'].param_groups[0]['params'][38].grad", "L['self'].param_groups[0]['params'][39].grad", "L['self'].param_groups[0]['params'][40].grad", "L['self'].param_groups[0]['params'][41].grad", "L['self'].param_groups[0]['params'][42].grad", "L['self'].param_groups[0]['params'][43].grad", "L['self'].param_groups[0]['params'][44].grad", "L['self'].param_groups[0]['params'][45].grad", "L['self'].param_groups[0]['params'][46].grad", "L['self'].param_groups[0]['params'][47].grad", "L['self'].param_groups[0]['params'][48].grad", "L['self'].param_groups[0]['params'][49].grad", "L['self'].param_groups[0]['params'][50].grad", "L['self'].param_groups[0]['params'][51].grad", "L['self'].param_groups[0]['params'][52].grad", "L['self'].param_groups[0]['params'][53].grad", "L['self'].param_groups[0]['params'][54].grad", "L['self'].param_groups[0]['params'][55].grad", "L['self'].param_groups[0]['params'][56].grad", "L['self'].param_groups[0]['params'][57].grad", "L['self'].param_groups[0]['params'][58].grad", "L['self'].param_groups[0]['params'][59].grad", "L['self'].param_groups[0]['params'][60].grad", "L['self'].param_groups[0]['params'][61].grad", "L['self'].param_groups[0]['params'][62].grad", "L['self'].param_groups[0]['params'][63].grad", "L['self'].param_groups[0]['params'][64].grad", "L['self'].param_groups[0]['params'][65].grad", "L['self'].param_groups[0]['params'][66].grad", "L['self'].param_groups[0]['params'][67].grad", "L['self'].param_groups[0]['params'][68].grad", "L['self'].param_groups[0]['params'][69].grad", "L['self'].param_groups[0]['params'][70].grad", "L['self'].param_groups[0]['params'][71].grad", "L['self'].param_groups[0]['params'][72].grad", "L['self'].param_groups[0]['params'][73].grad", "L['self'].param_groups[0]['params'][74].grad", "L['self'].param_groups[0]['params'][75].grad", "L['self'].param_groups[0]['params'][76].grad", "L['self'].param_groups[0]['params'][77].grad", "L['self'].param_groups[0]['params'][78].grad", "L['self'].param_groups[0]['params'][79].grad", "L['self'].param_groups[0]['params'][80].grad", "L['self'].param_groups[0]['params'][81].grad", "L['self'].param_groups[0]['params'][82].grad", "L['self'].param_groups[0]['params'][83].grad", "L['self'].param_groups[0]['params'][84].grad", "L['self'].param_groups[0]['params'][85].grad", "L['self'].param_groups[0]['params'][86].grad", "L['self'].param_groups[0]['params'][87].grad", "L['self'].param_groups[0]['params'][88].grad", "L['self'].param_groups[0]['params'][89].grad", "L['self'].param_groups[0]['params'][90].grad", "L['self'].param_groups[0]['params'][91].grad", "L['self'].param_groups[0]['params'][92].grad", "L['self'].param_groups[0]['params'][93].grad", "L['self'].param_groups[0]['params'][94].grad", "L['self'].param_groups[0]['params'][95].grad", "L['self'].param_groups[0]['params'][96].grad", "L['self'].param_groups[0]['params'][97].grad", "L['self'].param_groups[0]['params'][98].grad", "L['self'].param_groups[0]['params'][99].grad", "L['self'].param_groups[0]['params'][100].grad", "L['self'].param_groups[0]['params'][101].grad", "L['self'].param_groups[0]['params'][102].grad", "L['self'].param_groups[0]['params'][105].grad", "L['self'].param_groups[0]['params'][106].grad", "L['self'].param_groups[0]['params'][107].grad", "L['self'].param_groups[0]['params'][108].grad", "L['self'].param_groups[0]['params'][109].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:29:22.8711913Z Compilation time (from dynamo_timed): 38.462156789 2025-01-24T04:29:22.8724982Z pass 2025-01-24T04:29:22.9168185Z TIMING: entire_frame_compile:33.31288 gc:0.00438 _recursive_pre_grad_passes:0.03654 pad_mm_benchmark:0.04889 _recursive_joint_graph_passes:0.57611 _recursive_post_grad_passes:0.33473 async_compile.wait:3.90723 code_gen:13.39832 inductor_compile:21.55613 backend_compile:26.51288 entire_backward_compile:5.14928 total_wall_time:38.46216 2025-01-24T04:29:22.9169811Z STATS: call_* op count: 791 | FakeTensorMode.__torch_dispatch__:28435 | FakeTensor.__torch_dispatch__:7623 | ProxyTorchDispatchMode.__torch_dispatch__:13155 2025-01-24T04:29:22.9170614Z Dynamo produced 2 graphs covering 791 ops with 5 graph breaks (4 unique) 2025-01-24T04:29:29.4628029Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:29:29.4629264Z warnings.warn( 2025-01-24T04:29:29.8907991Z 2025-01-24T04:29:32.0201743Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:29:32.0202110Z loading model: 0it [00:02, ?it/s] 2025-01-24T04:29:32.0202440Z cuda train LayoutLMForMaskedLM 2025-01-24T04:30:09.0088160Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:30:09.0090639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:30:09.0091362Z pred = mod(**cloned_inputs) 2025-01-24T04:30:09.0092122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/layoutlm/modeling_layoutlm.py", line 938, in forward 2025-01-24T04:30:09.0092907Z outputs = self.layoutlm( 2025-01-24T04:30:09.0093675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/layoutlm/modeling_layoutlm.py", line 821, in forward 2025-01-24T04:30:09.0094357Z embedding_output = self.embeddings( 2025-01-24T04:30:09.0095023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/layoutlm/modeling_layoutlm.py", line 99, in forward 2025-01-24T04:30:09.0096060Z inputs_embeds = self.word_embeddings(input_ids) 2025-01-24T04:30:09.0096303Z 2025-01-24T04:30:09.1752582Z W0124 04:30:09.174000 16945 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:30:10.9512403Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", "L['self'].param_groups[0]['params'][17].grad", 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"L['self'].param_groups[0]['params'][178].grad", "L['self'].param_groups[0]['params'][179].grad", "L['self'].param_groups[0]['params'][180].grad", "L['self'].param_groups[0]['params'][181].grad", "L['self'].param_groups[0]['params'][182].grad", "L['self'].param_groups[0]['params'][183].grad", "L['self'].param_groups[0]['params'][184].grad", "L['self'].param_groups[0]['params'][185].grad", "L['self'].param_groups[0]['params'][186].grad", "L['self'].param_groups[0]['params'][187].grad", "L['self'].param_groups[0]['params'][188].grad", "L['self'].param_groups[0]['params'][189].grad", "L['self'].param_groups[0]['params'][190].grad", "L['self'].param_groups[0]['params'][191].grad", "L['self'].param_groups[0]['params'][192].grad", "L['self'].param_groups[0]['params'][193].grad", "L['self'].param_groups[0]['params'][194].grad", "L['self'].param_groups[0]['params'][195].grad", "L['self'].param_groups[0]['params'][196].grad", "L['self'].param_groups[0]['params'][197].grad", "L['self'].param_groups[0]['params'][198].grad", "L['self'].param_groups[0]['params'][199].grad", "L['self'].param_groups[0]['params'][200].grad", "L['self'].param_groups[0]['params'][203].grad", "L['self'].param_groups[0]['params'][204].grad", "L['self'].param_groups[0]['params'][205].grad", "L['self'].param_groups[0]['params'][206].grad", "L['self'].param_groups[0]['params'][207].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:30:54.5653524Z Compilation time (from dynamo_timed): 75.832079771 2025-01-24T04:30:54.5680111Z pass 2025-01-24T04:30:54.6345605Z TIMING: entire_frame_compile:66.76054 gc:0.00458 _recursive_pre_grad_passes:0.06445 pad_mm_benchmark:0.20124 _recursive_joint_graph_passes:1.64297 _recursive_post_grad_passes:1.0426 async_compile.wait:5.9022 code_gen:23.89585 inductor_compile:39.40931 backend_compile:52.13353 entire_backward_compile:9.07154 total_wall_time:75.83208 2025-01-24T04:30:54.6347511Z STATS: call_* op count: 1447 | FakeTensorMode.__torch_dispatch__:64428 | FakeTensor.__torch_dispatch__:14752 | ProxyTorchDispatchMode.__torch_dispatch__:29173 2025-01-24T04:30:54.6348370Z Dynamo produced 2 graphs covering 1447 ops with 5 graph breaks (4 unique) 2025-01-24T04:31:02.7073851Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:31:02.7075023Z warnings.warn( 2025-01-24T04:31:03.0905282Z 2025-01-24T04:31:04.9761710Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:31:04.9762379Z loading model: 0it [00:01, ?it/s] 2025-01-24T04:31:04.9763056Z cuda train LayoutLMForSequenceClassification 2025-01-24T04:31:40.5023574Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:31:40.5024425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:31:40.5025118Z pred = mod(**cloned_inputs) 2025-01-24T04:31:40.5026135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/layoutlm/modeling_layoutlm.py", line 1060, in forward 2025-01-24T04:31:40.5026815Z outputs = self.layoutlm( 2025-01-24T04:31:40.5027460Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/layoutlm/modeling_layoutlm.py", line 821, in forward 2025-01-24T04:31:40.5028136Z embedding_output = self.embeddings( 2025-01-24T04:31:40.5028798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/layoutlm/modeling_layoutlm.py", line 99, in forward 2025-01-24T04:31:40.5029482Z inputs_embeds = self.word_embeddings(input_ids) 2025-01-24T04:31:40.5029900Z 2025-01-24T04:31:40.6769288Z W0124 04:31:40.676000 17267 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"L['self'].param_groups[0]['params'][178].grad", "L['self'].param_groups[0]['params'][179].grad", "L['self'].param_groups[0]['params'][180].grad", "L['self'].param_groups[0]['params'][181].grad", "L['self'].param_groups[0]['params'][182].grad", "L['self'].param_groups[0]['params'][183].grad", "L['self'].param_groups[0]['params'][184].grad", "L['self'].param_groups[0]['params'][185].grad", "L['self'].param_groups[0]['params'][186].grad", "L['self'].param_groups[0]['params'][187].grad", "L['self'].param_groups[0]['params'][188].grad", "L['self'].param_groups[0]['params'][189].grad", "L['self'].param_groups[0]['params'][190].grad", "L['self'].param_groups[0]['params'][191].grad", "L['self'].param_groups[0]['params'][192].grad", "L['self'].param_groups[0]['params'][193].grad", "L['self'].param_groups[0]['params'][194].grad", "L['self'].param_groups[0]['params'][195].grad", "L['self'].param_groups[0]['params'][196].grad", "L['self'].param_groups[0]['params'][197].grad", "L['self'].param_groups[0]['params'][198].grad", "L['self'].param_groups[0]['params'][199].grad", "L['self'].param_groups[0]['params'][200].grad", "L['self'].param_groups[0]['params'][201].grad", "L['self'].param_groups[0]['params'][202].grad", "L['self'].param_groups[0]['params'][203].grad", "L['self'].param_groups[0]['params'][204].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:32:24.1271147Z Compilation time (from dynamo_timed): 72.719334805 2025-01-24T04:32:24.1294571Z pass 2025-01-24T04:32:24.1985427Z TIMING: entire_frame_compile:64.03861 gc:0.00376 _recursive_pre_grad_passes:0.06348 pad_mm_benchmark:0.37813 _recursive_joint_graph_passes:1.82403 _recursive_post_grad_passes:0.72668 async_compile.wait:3.24238 code_gen:21.02656 inductor_compile:36.39686 backend_compile:49.48091 entire_backward_compile:8.68072 total_wall_time:72.71933 2025-01-24T04:32:24.1987104Z STATS: call_* op count: 1440 | FakeTensorMode.__torch_dispatch__:63970 | FakeTensor.__torch_dispatch__:14639 | ProxyTorchDispatchMode.__torch_dispatch__:28967 2025-01-24T04:32:24.1987918Z Dynamo produced 2 graphs covering 1440 ops with 5 graph breaks (4 unique) 2025-01-24T04:32:32.3024870Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:32:32.3026029Z warnings.warn( 2025-01-24T04:32:32.7308110Z 2025-01-24T04:32:43.2715330Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:32:43.2715684Z loading model: 0it [00:10, ?it/s] 2025-01-24T04:32:43.2716023Z cuda train M2M100ForConditionalGeneration 2025-01-24T04:32:43.3737664Z WARNING:common:fp64 golden ref were not generated for M2M100ForConditionalGeneration. Setting accuracy check to cosine 2025-01-24T04:33:57.6272081Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:33:57.6274691Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:33:57.6275670Z pred = mod(**cloned_inputs) 2025-01-24T04:33:57.6276949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1275, in forward 2025-01-24T04:33:57.6277803Z outputs = self.model( 2025-01-24T04:33:57.6278413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 1162, in forward 2025-01-24T04:33:57.6279067Z encoder_outputs = self.encoder( 2025-01-24T04:33:57.6279703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/m2m_100/modeling_m2m_100.py", line 763, in forward 2025-01-24T04:33:57.6280414Z inputs_embeds = self.embed_tokens(input_ids) * self.embed_scale 2025-01-24T04:33:57.6280711Z 2025-01-24T04:33:59.3366179Z Compilation time (from dynamo_timed): 71.17002469799999 2025-01-24T04:33:59.3401154Z pass 2025-01-24T04:33:59.4383756Z TIMING: entire_frame_compile:53.05063 gc:0.00152 _recursive_pre_grad_passes:0.03903 pad_mm_benchmark:0.46494 _recursive_joint_graph_passes:3.24677 _recursive_post_grad_passes:3.50989 async_compile.wait:1.08042 code_gen:17.75305 inductor_compile:35.25773 backend_compile:41.01892 entire_backward_compile:18.11939 total_wall_time:71.17002 2025-01-24T04:33:59.4385419Z STATS: call_* op count: 1296 | FakeTensorMode.__torch_dispatch__:101647 | FakeTensor.__torch_dispatch__:12412 | ProxyTorchDispatchMode.__torch_dispatch__:47008 2025-01-24T04:33:59.4386259Z Dynamo produced 1 graphs covering 1296 ops with 4 graph breaks (4 unique) 2025-01-24T04:34:07.5819359Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:34:07.5820520Z warnings.warn( 2025-01-24T04:34:07.8886230Z 2025-01-24T04:34:11.8346417Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:34:11.8346771Z loading model: 0it [00:03, ?it/s] 2025-01-24T04:34:11.8347094Z cuda train MBartForCausalLM 2025-01-24T04:34:11.8655216Z WARNING:common:fp64 golden ref were not generated for MBartForCausalLM. Setting accuracy check to cosine 2025-01-24T04:34:15.3803523Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:34:15.3804312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 135, in forward 2025-01-24T04:34:15.3805017Z return super().forward(positions + self.offset) 2025-01-24T04:34:15.3805261Z 2025-01-24T04:34:25.1500841Z Compilation time (from dynamo_timed): 4.935694324 2025-01-24T04:34:25.1518669Z pass 2025-01-24T04:34:25.2211048Z TIMING: entire_frame_compile:3.83859 gc:0.00578 _recursive_pre_grad_passes:0.00696 _recursive_joint_graph_passes:0.22965 inductor_compile:2.14375 backend_compile:2.93857 _recursive_post_grad_passes:0.08977 async_compile.precompile:0.10115 async_compile.wait:0.6054 code_gen:1.3787 pad_mm_benchmark:0.0144 entire_backward_compile:1.0971 total_wall_time:4.93569 2025-01-24T04:34:25.2212805Z STATS: call_* op count: 60 | FakeTensorMode.__torch_dispatch__:3941 | FakeTensor.__torch_dispatch__:573 | ProxyTorchDispatchMode.__torch_dispatch__:1583 2025-01-24T04:34:25.2213600Z Dynamo produced 6 graphs covering 60 ops with 6 graph breaks (5 unique) 2025-01-24T04:34:30.5035124Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:34:30.5036736Z warnings.warn( 2025-01-24T04:34:30.7861543Z 2025-01-24T04:34:37.7219323Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:34:37.7219666Z loading model: 0it [00:06, ?it/s] 2025-01-24T04:34:37.7220004Z cuda train MBartForConditionalGeneration 2025-01-24T04:34:37.8196840Z WARNING:common:fp64 golden ref were not generated for MBartForConditionalGeneration. Setting accuracy check to cosine 2025-01-24T04:34:43.3133132Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:34:43.3134061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/bart/modeling_bart.py", line 135, in forward 2025-01-24T04:34:43.3134994Z return super().forward(positions + self.offset) 2025-01-24T04:34:43.3135347Z 2025-01-24T04:35:07.2208329Z Compilation time (from dynamo_timed): 9.568266182 2025-01-24T04:35:07.2238279Z pass 2025-01-24T04:35:07.3280708Z TIMING: entire_frame_compile:7.03658 gc:0.0086 _recursive_pre_grad_passes:0.00954 _recursive_joint_graph_passes:0.42019 inductor_compile:4.86152 backend_compile:5.41109 _recursive_post_grad_passes:0.2587 async_compile.precompile:0.11808 async_compile.wait:0.82796 code_gen:2.95649 pad_mm_benchmark:0.04201 entire_backward_compile:2.53169 total_wall_time:9.56827 2025-01-24T04:35:07.3283012Z STATS: call_* op count: 136 | FakeTensorMode.__torch_dispatch__:9684 | FakeTensor.__torch_dispatch__:1471 | ProxyTorchDispatchMode.__torch_dispatch__:4358 2025-01-24T04:35:07.3283850Z Dynamo produced 8 graphs covering 136 ops with 8 graph breaks (5 unique) 2025-01-24T04:35:12.8373922Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:35:12.8375133Z warnings.warn( 2025-01-24T04:35:13.0717393Z 2025-01-24T04:35:17.1287286Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:35:17.1287652Z loading model: 0it [00:04, ?it/s] 2025-01-24T04:35:17.1287993Z cuda train MT5ForConditionalGeneration 2025-01-24T04:36:11.0821070Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:36:11.0824158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:36:11.0825004Z pred = mod(**cloned_inputs) 2025-01-24T04:36:11.0825655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 1722, in forward 2025-01-24T04:36:11.0826290Z encoder_outputs = self.encoder( 2025-01-24T04:36:11.0826904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mt5/modeling_mt5.py", line 989, in forward 2025-01-24T04:36:11.0827562Z inputs_embeds = self.embed_tokens(input_ids) 2025-01-24T04:36:11.0827797Z 2025-01-24T04:36:11.2377246Z W0124 04:36:11.236000 18331 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:36:13.2518711Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", 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"L['self'].param_groups[0]['params'][183].grad", "L['self'].param_groups[0]['params'][184].grad", "L['self'].param_groups[0]['params'][185].grad", "L['self'].param_groups[0]['params'][186].grad", "L['self'].param_groups[0]['params'][187].grad", "L['self'].param_groups[0]['params'][188].grad", "L['self'].param_groups[0]['params'][189].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:36:56.9252903Z Compilation time (from dynamo_timed): 92.235049177 2025-01-24T04:36:56.9289035Z pass 2025-01-24T04:36:57.0735933Z TIMING: entire_frame_compile:78.90262 gc:0.0028 _recursive_pre_grad_passes:0.0765 pad_mm_benchmark:0.3361 _recursive_joint_graph_passes:2.55403 _recursive_post_grad_passes:1.10628 async_compile.wait:4.4776 code_gen:24.50716 inductor_compile:44.31751 backend_compile:59.78739 entire_backward_compile:13.33243 total_wall_time:92.23505 2025-01-24T04:36:57.0738686Z STATS: call_* op count: 2145 | FakeTensorMode.__torch_dispatch__:98756 | ProxyTorchDispatchMode.__torch_dispatch__:46228 | FakeTensor.__torch_dispatch__:18028 2025-01-24T04:36:57.0740010Z Dynamo produced 2 graphs covering 2145 ops with 5 graph breaks (4 unique) 2025-01-24T04:37:05.8124150Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:37:05.8125346Z warnings.warn( 2025-01-24T04:37:06.0632200Z 2025-01-24T04:37:06.0671158Z loading model: 0it [00:00, ?it/s]If you want to use `MegatronBertForCausalLM` as a standalone, add `is_decoder=True.` 2025-01-24T04:37:11.0592005Z 2025-01-24T04:37:11.0592676Z loading model: 0it [00:04, ?it/s] 2025-01-24T04:37:11.0593084Z cuda train MegatronBertForCausalLM 2025-01-24T04:38:17.6999733Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:38:17.7001876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:38:17.7002613Z pred = mod(**cloned_inputs) 2025-01-24T04:38:17.7003323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 1199, in forward 2025-01-24T04:38:17.7004029Z outputs = self.bert( 2025-01-24T04:38:17.7004698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 967, in forward 2025-01-24T04:38:17.7005436Z embedding_output = self.embeddings( 2025-01-24T04:38:17.7006146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 179, in forward 2025-01-24T04:38:17.7006885Z inputs_embeds = self.word_embeddings(input_ids) 2025-01-24T04:38:17.7007149Z 2025-01-24T04:38:17.9203441Z W0124 04:38:17.919000 18681 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:38:21.3567412Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", 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"L['self'].param_groups[0]['params'][377].grad", "L['self'].param_groups[0]['params'][378].grad", "L['self'].param_groups[0]['params'][379].grad", "L['self'].param_groups[0]['params'][380].grad", "L['self'].param_groups[0]['params'][381].grad", "L['self'].param_groups[0]['params'][382].grad", "L['self'].param_groups[0]['params'][383].grad", "L['self'].param_groups[0]['params'][384].grad", "L['self'].param_groups[0]['params'][385].grad", "L['self'].param_groups[0]['params'][386].grad", "L['self'].param_groups[0]['params'][387].grad", "L['self'].param_groups[0]['params'][388].grad", "L['self'].param_groups[0]['params'][389].grad", "L['self'].param_groups[0]['params'][390].grad", "L['self'].param_groups[0]['params'][391].grad", "L['self'].param_groups[0]['params'][392].grad", "L['self'].param_groups[0]['params'][393].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:39:48.6029702Z Compilation time (from dynamo_timed): 143.087681749 2025-01-24T04:39:48.6075223Z pass 2025-01-24T04:39:48.8082298Z TIMING: entire_frame_compile:127.40126 gc:0.00562 _recursive_pre_grad_passes:0.11477 pad_mm_benchmark:0.34075 _recursive_joint_graph_passes:3.05775 _recursive_post_grad_passes:1.43552 async_compile.wait:7.33678 code_gen:44.9705 inductor_compile:73.8208 backend_compile:99.8882 entire_backward_compile:15.68643 total_wall_time:143.08768 2025-01-24T04:39:48.8085404Z STATS: call_* op count: 2712 | FakeTensorMode.__torch_dispatch__:122451 | FakeTensor.__torch_dispatch__:28160 | ProxyTorchDispatchMode.__torch_dispatch__:55799 2025-01-24T04:39:48.8086366Z Dynamo produced 2 graphs covering 2712 ops with 5 graph breaks (4 unique) 2025-01-24T04:39:59.8766758Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:39:59.8767979Z warnings.warn( 2025-01-24T04:40:00.1816298Z 2025-01-24T04:40:04.5784334Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:40:04.5784685Z loading model: 0it [00:04, ?it/s] 2025-01-24T04:40:04.5785023Z cuda train MegatronBertForQuestionAnswering 2025-01-24T04:41:10.0973039Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:41:10.0974047Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:41:10.0974747Z pred = mod(**cloned_inputs) 2025-01-24T04:41:10.0975444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 1792, in forward 2025-01-24T04:41:10.0976611Z outputs = self.bert( 2025-01-24T04:41:10.0977272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 967, in forward 2025-01-24T04:41:10.0977978Z embedding_output = self.embeddings( 2025-01-24T04:41:10.0978684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/megatron_bert/modeling_megatron_bert.py", line 179, in forward 2025-01-24T04:41:10.0979412Z inputs_embeds = self.word_embeddings(input_ids) 2025-01-24T04:41:10.0979668Z 2025-01-24T04:41:10.3209909Z 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"L['self'].param_groups[0]['params'][357].grad", "L['self'].param_groups[0]['params'][358].grad", "L['self'].param_groups[0]['params'][359].grad", "L['self'].param_groups[0]['params'][360].grad", "L['self'].param_groups[0]['params'][361].grad", "L['self'].param_groups[0]['params'][362].grad", "L['self'].param_groups[0]['params'][363].grad", "L['self'].param_groups[0]['params'][364].grad", "L['self'].param_groups[0]['params'][365].grad", "L['self'].param_groups[0]['params'][366].grad", "L['self'].param_groups[0]['params'][367].grad", "L['self'].param_groups[0]['params'][368].grad", "L['self'].param_groups[0]['params'][369].grad", "L['self'].param_groups[0]['params'][370].grad", "L['self'].param_groups[0]['params'][371].grad", "L['self'].param_groups[0]['params'][372].grad", "L['self'].param_groups[0]['params'][373].grad", "L['self'].param_groups[0]['params'][374].grad", "L['self'].param_groups[0]['params'][375].grad", "L['self'].param_groups[0]['params'][376].grad", "L['self'].param_groups[0]['params'][377].grad", "L['self'].param_groups[0]['params'][378].grad", "L['self'].param_groups[0]['params'][379].grad", "L['self'].param_groups[0]['params'][380].grad", "L['self'].param_groups[0]['params'][381].grad", "L['self'].param_groups[0]['params'][382].grad", "L['self'].param_groups[0]['params'][383].grad", "L['self'].param_groups[0]['params'][384].grad", "L['self'].param_groups[0]['params'][385].grad", "L['self'].param_groups[0]['params'][386].grad", "L['self'].param_groups[0]['params'][387].grad", "L['self'].param_groups[0]['params'][388].grad", "L['self'].param_groups[0]['params'][389].grad", "L['self'].param_groups[0]['params'][390].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:42:34.5644343Z Compilation time (from dynamo_timed): 136.005489584 2025-01-24T04:42:34.5689181Z pass 2025-01-24T04:42:34.7745325Z TIMING: entire_frame_compile:120.58166 gc:0.00449 _recursive_pre_grad_passes:0.11432 pad_mm_benchmark:0.53764 _recursive_joint_graph_passes:3.25168 _recursive_post_grad_passes:1.42631 async_compile.wait:2.52659 code_gen:39.2375 inductor_compile:67.7364 backend_compile:93.47033 entire_backward_compile:15.42383 total_wall_time:136.00549 2025-01-24T04:42:34.7747438Z STATS: call_* op count: 2700 | FakeTensorMode.__torch_dispatch__:121831 | FakeTensor.__torch_dispatch__:27992 | ProxyTorchDispatchMode.__torch_dispatch__:55544 2025-01-24T04:42:34.7748259Z Dynamo produced 2 graphs covering 2700 ops with 5 graph breaks (4 unique) 2025-01-24T04:42:45.7638812Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:42:45.7639997Z warnings.warn( 2025-01-24T04:42:46.1351953Z 2025-01-24T04:42:47.6176671Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:42:47.6177221Z loading model: 0it [00:01, ?it/s] 2025-01-24T04:42:47.6177727Z cuda train MobileBertForMaskedLM 2025-01-24T04:44:48.0395222Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:44:48.0398235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:44:48.0398975Z pred = mod(**cloned_inputs) 2025-01-24T04:44:48.0399664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 1089, in forward 2025-01-24T04:44:48.0400354Z outputs = self.mobilebert( 2025-01-24T04:44:48.0401057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 895, in forward 2025-01-24T04:44:48.0401754Z embedding_output = self.embeddings( 2025-01-24T04:44:48.0402471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 218, in forward 2025-01-24T04:44:48.0403184Z inputs_embeds = self.word_embeddings(input_ids) 2025-01-24T04:44:48.0403429Z 2025-01-24T04:44:50.5162625Z Compilation time (from dynamo_timed): 116.071741212 2025-01-24T04:44:50.5333238Z pass 2025-01-24T04:44:50.5817723Z TIMING: entire_frame_compile:88.56454 gc:0.00148 _recursive_pre_grad_passes:0.04744 pad_mm_benchmark:0.92456 _recursive_joint_graph_passes:5.48977 _recursive_post_grad_passes:3.45323 async_compile.wait:0.87287 code_gen:24.79746 inductor_compile:49.67155 backend_compile:61.12209 entire_backward_compile:27.5072 total_wall_time:116.07174 2025-01-24T04:44:50.5819366Z STATS: call_* op count: 1449 | FakeTensorMode.__torch_dispatch__:156586 | FakeTensor.__torch_dispatch__:19039 | ProxyTorchDispatchMode.__torch_dispatch__:74428 2025-01-24T04:44:50.5820349Z Dynamo produced 1 graphs covering 1449 ops with 3 graph breaks (3 unique) 2025-01-24T04:45:00.4665253Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:45:00.4666517Z warnings.warn( 2025-01-24T04:45:00.8828160Z 2025-01-24T04:45:02.1734900Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:45:02.1735261Z loading model: 0it [00:01, ?it/s] 2025-01-24T04:45:02.1735607Z cuda train MobileBertForQuestionAnswering 2025-01-24T04:47:01.5457535Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:47:01.5458382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:47:01.5459080Z pred = mod(**cloned_inputs) 2025-01-24T04:47:01.5459794Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 1390, in forward 2025-01-24T04:47:01.5460493Z outputs = self.mobilebert( 2025-01-24T04:47:01.5461161Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 895, in forward 2025-01-24T04:47:01.5462239Z embedding_output = self.embeddings( 2025-01-24T04:47:01.5462926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py", line 218, in forward 2025-01-24T04:47:01.5463647Z inputs_embeds = self.word_embeddings(input_ids) 2025-01-24T04:47:01.5463897Z 2025-01-24T04:47:04.0131556Z Compilation time (from dynamo_timed): 115.202059917 2025-01-24T04:47:04.0299481Z pass 2025-01-24T04:47:04.0636339Z TIMING: entire_frame_compile:88.01065 gc:0.00113 _recursive_pre_grad_passes:0.04768 pad_mm_benchmark:0.92686 _recursive_joint_graph_passes:5.45858 _recursive_post_grad_passes:3.46075 async_compile.wait:0.34887 code_gen:24.13263 inductor_compile:48.83801 backend_compile:60.49481 entire_backward_compile:27.19141 total_wall_time:115.20206 2025-01-24T04:47:04.0638173Z STATS: call_* op count: 1453 | FakeTensorMode.__torch_dispatch__:156402 | ProxyTorchDispatchMode.__torch_dispatch__:74369 | FakeTensor.__torch_dispatch__:19022 2025-01-24T04:47:04.0639017Z Dynamo produced 1 graphs covering 1453 ops with 3 graph breaks (3 unique) 2025-01-24T04:47:13.8552149Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:47:13.8553482Z warnings.warn( 2025-01-24T04:47:14.1253646Z 2025-01-24T04:47:16.6942230Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:47:16.6942787Z loading model: 0it [00:02, ?it/s] 2025-01-24T04:47:16.6943338Z cuda train OPTForCausalLM 2025-01-24T04:47:16.7147030Z WARNING:common:fp64 golden ref were not generated for OPTForCausalLM. Setting accuracy check to cosine 2025-01-24T04:47:25.7932733Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:47:25.7933523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/opt/modeling_opt.py", line 109, in forward 2025-01-24T04:47:25.7934217Z return super().forward(positions + self.offset) 2025-01-24T04:47:25.7934478Z 2025-01-24T04:47:32.1091540Z Compilation time (from dynamo_timed): 6.489360723 2025-01-24T04:47:32.1094223Z pass 2025-01-24T04:47:32.1372345Z TIMING: entire_frame_compile:4.76803 gc:0.00577 _recursive_pre_grad_passes:0.00896 _recursive_joint_graph_passes:0.25083 inductor_compile:3.52109 backend_compile:3.69122 _recursive_post_grad_passes:0.11318 async_compile.precompile:0.09125 async_compile.wait:1.20703 code_gen:2.51035 pad_mm_benchmark:0.01592 entire_backward_compile:1.72133 total_wall_time:6.48936 2025-01-24T04:47:32.1374116Z STATS: call_* op count: 82 | FakeTensorMode.__torch_dispatch__:4902 | ProxyTorchDispatchMode.__torch_dispatch__:2031 | FakeTensor.__torch_dispatch__:724 2025-01-24T04:47:32.1374910Z Dynamo produced 6 graphs covering 82 ops with 6 graph breaks (5 unique) 2025-01-24T04:47:37.5222679Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:47:37.5223893Z warnings.warn( 2025-01-24T04:47:37.7949879Z 2025-01-24T04:47:39.7418006Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:47:39.7418355Z loading model: 0it [00:01, ?it/s] 2025-01-24T04:47:39.7418688Z cuda train PLBartForCausalLM 2025-01-24T04:47:39.7587824Z WARNING:common:fp64 golden ref were not generated for PLBartForCausalLM. Setting accuracy check to cosine 2025-01-24T04:47:47.5973015Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:47:47.5973828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/plbart/modeling_plbart.py", line 106, in forward 2025-01-24T04:47:47.5974527Z return super().forward(positions + self.offset) 2025-01-24T04:47:47.5974777Z 2025-01-24T04:47:51.0646995Z Compilation time (from dynamo_timed): 6.231529504 2025-01-24T04:47:51.0656020Z pass 2025-01-24T04:47:51.0938697Z TIMING: entire_frame_compile:4.62706 gc:0.00606 _recursive_pre_grad_passes:0.00695 _recursive_joint_graph_passes:0.50333 inductor_compile:3.11271 backend_compile:3.58718 async_compile.precompile:0.09644 async_compile.wait:0.92837 _recursive_post_grad_passes:0.10659 code_gen:2.13815 pad_mm_benchmark:0.26285 entire_backward_compile:1.60447 total_wall_time:6.23153 2025-01-24T04:47:51.0942133Z STATS: call_* op count: 60 | FakeTensorMode.__torch_dispatch__:4481 | FakeTensor.__torch_dispatch__:696 | ProxyTorchDispatchMode.__torch_dispatch__:1868 2025-01-24T04:47:51.0944130Z Dynamo produced 6 graphs covering 60 ops with 6 graph breaks (5 unique) 2025-01-24T04:47:56.4704711Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:47:56.4705968Z warnings.warn( 2025-01-24T04:47:56.7365973Z 2025-01-24T04:48:00.1326187Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:48:00.1326544Z loading model: 0it [00:03, ?it/s] 2025-01-24T04:48:00.1326893Z cuda train PLBartForConditionalGeneration 2025-01-24T04:48:00.1949305Z WARNING:common:fp64 golden ref were not generated for PLBartForConditionalGeneration. Setting accuracy check to cosine 2025-01-24T04:48:03.7570952Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:48:03.7573432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/plbart/modeling_plbart.py", line 106, in forward 2025-01-24T04:48:03.7575618Z return super().forward(positions + self.offset) 2025-01-24T04:48:03.7576330Z 2025-01-24T04:48:20.5015665Z Compilation time (from dynamo_timed): 9.949036118 2025-01-24T04:48:20.5032921Z pass 2025-01-24T04:48:20.5320227Z TIMING: entire_frame_compile:7.21919 gc:0.00875 _recursive_pre_grad_passes:0.00958 _recursive_joint_graph_passes:0.42024 inductor_compile:5.10795 backend_compile:5.59366 async_compile.precompile:0.02869 async_compile.wait:1.14688 pad_mm_benchmark:0.04159 _recursive_post_grad_passes:0.2684 code_gen:3.17008 entire_backward_compile:2.72984 total_wall_time:9.94904 2025-01-24T04:48:20.5322024Z STATS: call_* op count: 137 | FakeTensorMode.__torch_dispatch__:9638 | FakeTensor.__torch_dispatch__:1522 | ProxyTorchDispatchMode.__torch_dispatch__:4348 2025-01-24T04:48:20.5322815Z Dynamo produced 8 graphs covering 137 ops with 8 graph breaks (5 unique) 2025-01-24T04:48:26.0333888Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:48:26.0335046Z warnings.warn( 2025-01-24T04:48:26.2606413Z 2025-01-24T04:48:32.3348273Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:48:32.3348614Z loading model: 0it [00:06, ?it/s] 2025-01-24T04:48:32.3348948Z cuda train PegasusForCausalLM 2025-01-24T04:48:32.3651034Z WARNING:common:fp64 golden ref were not generated for PegasusForCausalLM. Setting accuracy check to cosine 2025-01-24T04:48:46.0592854Z Compilation time (from dynamo_timed): 5.522224112 2025-01-24T04:48:46.0609237Z pass 2025-01-24T04:48:46.1411658Z TIMING: entire_frame_compile:4.23536 gc:0.00608 _recursive_pre_grad_passes:0.00775 _recursive_joint_graph_passes:0.45467 inductor_compile:2.64485 backend_compile:3.36264 async_compile.precompile:0.09303 async_compile.wait:0.63242 _recursive_post_grad_passes:0.10199 code_gen:1.71288 pad_mm_benchmark:0.22553 entire_backward_compile:1.28687 total_wall_time:5.52222 2025-01-24T04:48:46.1413387Z STATS: call_* op count: 58 | FakeTensorMode.__torch_dispatch__:4317 | ProxyTorchDispatchMode.__torch_dispatch__:1804 | FakeTensor.__torch_dispatch__:685 2025-01-24T04:48:46.1414408Z Dynamo produced 6 graphs covering 58 ops with 6 graph breaks (5 unique) 2025-01-24T04:48:51.6510121Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:48:51.6511924Z warnings.warn( 2025-01-24T04:48:51.9291365Z 2025-01-24T04:49:02.1938519Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:49:02.1938938Z loading model: 0it [00:10, ?it/s] 2025-01-24T04:49:02.1939291Z cuda train PegasusForConditionalGeneration 2025-01-24T04:49:02.2842874Z WARNING:common:fp64 golden ref were not generated for PegasusForConditionalGeneration. Setting accuracy check to cosine 2025-01-24T04:49:29.4598966Z Compilation time (from dynamo_timed): 9.248663297 2025-01-24T04:49:29.4645767Z pass 2025-01-24T04:49:29.5921144Z TIMING: entire_frame_compile:6.83966 gc:0.00844 _recursive_pre_grad_passes:0.00892 _recursive_joint_graph_passes:0.41088 inductor_compile:4.72506 backend_compile:5.26265 async_compile.precompile:0.01329 async_compile.wait:0.79895 pad_mm_benchmark:0.04197 _recursive_post_grad_passes:0.26503 code_gen:2.82406 entire_backward_compile:2.409 total_wall_time:9.24866 2025-01-24T04:49:29.5922908Z STATS: call_* op count: 121 | FakeTensorMode.__torch_dispatch__:9330 | ProxyTorchDispatchMode.__torch_dispatch__:4238 | FakeTensor.__torch_dispatch__:1490 2025-01-24T04:49:29.5923714Z Dynamo produced 7 graphs covering 121 ops with 7 graph breaks (4 unique) 2025-01-24T04:49:35.0473920Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:49:35.0475087Z warnings.warn( 2025-01-24T04:49:35.4071727Z 2025-01-24T04:49:35.4100697Z loading model: 0it [00:00, ?it/s]If you want to use `RobertaLMHeadModel` as a standalone, add `is_decoder=True.` 2025-01-24T04:49:37.4468705Z We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-01-24T04:49:37.4470015Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-01-24T04:49:37.8233743Z 2025-01-24T04:49:37.8234706Z loading model: 0it [00:02, ?it/s] 2025-01-24T04:49:37.8235145Z cuda train RobertaForCausalLM 2025-01-24T04:50:12.3740649Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:50:12.3741667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:50:12.3742647Z pred = mod(**cloned_inputs) 2025-01-24T04:50:12.3743610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 953, in forward 2025-01-24T04:50:12.3744384Z outputs = self.roberta( 2025-01-24T04:50:12.3745116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 828, in forward 2025-01-24T04:50:12.3745824Z embedding_output = self.embeddings( 2025-01-24T04:50:12.3746529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 125, in forward 2025-01-24T04:50:12.3747304Z inputs_embeds = self.word_embeddings(input_ids) 2025-01-24T04:50:12.3747603Z 2025-01-24T04:50:12.5416662Z W0124 04:50:12.540000 21067 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:50:14.2714721Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", "L['self'].param_groups[0]['params'][17].grad", 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"L['self'].param_groups[0]['params'][178].grad", "L['self'].param_groups[0]['params'][179].grad", "L['self'].param_groups[0]['params'][180].grad", "L['self'].param_groups[0]['params'][181].grad", "L['self'].param_groups[0]['params'][182].grad", "L['self'].param_groups[0]['params'][183].grad", "L['self'].param_groups[0]['params'][184].grad", "L['self'].param_groups[0]['params'][185].grad", "L['self'].param_groups[0]['params'][186].grad", "L['self'].param_groups[0]['params'][187].grad", "L['self'].param_groups[0]['params'][188].grad", "L['self'].param_groups[0]['params'][189].grad", "L['self'].param_groups[0]['params'][190].grad", "L['self'].param_groups[0]['params'][191].grad", "L['self'].param_groups[0]['params'][192].grad", "L['self'].param_groups[0]['params'][193].grad", "L['self'].param_groups[0]['params'][194].grad", "L['self'].param_groups[0]['params'][195].grad", "L['self'].param_groups[0]['params'][196].grad", "L['self'].param_groups[0]['params'][197].grad", "L['self'].param_groups[0]['params'][198].grad", "L['self'].param_groups[0]['params'][199].grad", "L['self'].param_groups[0]['params'][200].grad", "L['self'].param_groups[0]['params'][201].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:50:55.3408935Z Compilation time (from dynamo_timed): 70.641637119 2025-01-24T04:50:55.3432298Z pass 2025-01-24T04:50:55.3953549Z TIMING: entire_frame_compile:62.17872 gc:0.00316 _recursive_pre_grad_passes:0.0647 pad_mm_benchmark:0.1998 _recursive_joint_graph_passes:1.62709 _recursive_post_grad_passes:0.72388 async_compile.wait:3.03496 code_gen:20.66516 inductor_compile:35.87801 backend_compile:48.64414 entire_backward_compile:8.46292 total_wall_time:70.64164 2025-01-24T04:50:55.3955211Z STATS: call_* op count: 1413 | FakeTensorMode.__torch_dispatch__:63196 | FakeTensor.__torch_dispatch__:14512 | ProxyTorchDispatchMode.__torch_dispatch__:28657 2025-01-24T04:50:55.3956019Z Dynamo produced 2 graphs covering 1413 ops with 5 graph breaks (4 unique) 2025-01-24T04:51:03.3780636Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:51:03.3781863Z warnings.warn( 2025-01-24T04:51:03.6913784Z 2025-01-24T04:51:05.3171186Z loading model: 0it [00:00, ?it/s]We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked. 2025-01-24T04:51:05.7087310Z You may ignore this warning if your `pad_token_id` (0) is identical to the `bos_token_id` (0), `eos_token_id` (2), or the `sep_token_id` (None), and your input is not padded. 2025-01-24T04:51:05.7087951Z 2025-01-24T04:51:05.7088077Z loading model: 0it [00:02, ?it/s] 2025-01-24T04:51:05.7088428Z cuda train RobertaForQuestionAnswering 2025-01-24T04:51:39.1946996Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:51:39.1947824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:51:39.1948535Z pred = mod(**cloned_inputs) 2025-01-24T04:51:39.1949180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 1500, in forward 2025-01-24T04:51:39.1949843Z outputs = self.roberta( 2025-01-24T04:51:39.1950492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 828, in forward 2025-01-24T04:51:39.1951540Z embedding_output = self.embeddings( 2025-01-24T04:51:39.1952191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/roberta/modeling_roberta.py", line 125, in forward 2025-01-24T04:51:39.1952946Z inputs_embeds = self.word_embeddings(input_ids) 2025-01-24T04:51:39.1953192Z 2025-01-24T04:51:39.3558291Z W0124 04:51:39.354000 21318 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:51:41.0805584Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", "L['self'].param_groups[0]['params'][17].grad", 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"L['self'].param_groups[0]['params'][158].grad", "L['self'].param_groups[0]['params'][159].grad", "L['self'].param_groups[0]['params'][160].grad", "L['self'].param_groups[0]['params'][161].grad", "L['self'].param_groups[0]['params'][162].grad", "L['self'].param_groups[0]['params'][163].grad", "L['self'].param_groups[0]['params'][164].grad", "L['self'].param_groups[0]['params'][165].grad", "L['self'].param_groups[0]['params'][166].grad", "L['self'].param_groups[0]['params'][167].grad", "L['self'].param_groups[0]['params'][168].grad", "L['self'].param_groups[0]['params'][169].grad", "L['self'].param_groups[0]['params'][170].grad", "L['self'].param_groups[0]['params'][171].grad", "L['self'].param_groups[0]['params'][172].grad", "L['self'].param_groups[0]['params'][173].grad", "L['self'].param_groups[0]['params'][174].grad", "L['self'].param_groups[0]['params'][175].grad", "L['self'].param_groups[0]['params'][176].grad", "L['self'].param_groups[0]['params'][177].grad", "L['self'].param_groups[0]['params'][178].grad", "L['self'].param_groups[0]['params'][179].grad", "L['self'].param_groups[0]['params'][180].grad", "L['self'].param_groups[0]['params'][181].grad", "L['self'].param_groups[0]['params'][182].grad", "L['self'].param_groups[0]['params'][183].grad", "L['self'].param_groups[0]['params'][184].grad", "L['self'].param_groups[0]['params'][185].grad", "L['self'].param_groups[0]['params'][186].grad", "L['self'].param_groups[0]['params'][187].grad", "L['self'].param_groups[0]['params'][188].grad", "L['self'].param_groups[0]['params'][189].grad", "L['self'].param_groups[0]['params'][190].grad", "L['self'].param_groups[0]['params'][191].grad", "L['self'].param_groups[0]['params'][192].grad", "L['self'].param_groups[0]['params'][193].grad", "L['self'].param_groups[0]['params'][194].grad", "L['self'].param_groups[0]['params'][195].grad", "L['self'].param_groups[0]['params'][196].grad", "L['self'].param_groups[0]['params'][197].grad", "L['self'].param_groups[0]['params'][198].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:52:19.5259862Z Compilation time (from dynamo_timed): 67.503600664 2025-01-24T04:52:19.5284566Z pass 2025-01-24T04:52:19.5941536Z TIMING: entire_frame_compile:59.39006 gc:0.00344 _recursive_pre_grad_passes:0.06146 pad_mm_benchmark:0.2007 _recursive_joint_graph_passes:1.619 _recursive_post_grad_passes:0.72513 async_compile.wait:0.54342 code_gen:17.89487 inductor_compile:33.02841 backend_compile:45.91971 entire_backward_compile:8.11354 total_wall_time:67.5036 2025-01-24T04:52:19.5943241Z STATS: call_* op count: 1400 | FakeTensorMode.__torch_dispatch__:62563 | FakeTensor.__torch_dispatch__:14342 | ProxyTorchDispatchMode.__torch_dispatch__:28393 2025-01-24T04:52:19.5944054Z Dynamo produced 2 graphs covering 1400 ops with 5 graph breaks (4 unique) 2025-01-24T04:52:27.6433349Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:52:27.6434730Z warnings.warn( 2025-01-24T04:52:27.9859745Z 2025-01-24T04:52:28.7126484Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:52:28.7126835Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:52:28.7127170Z cuda train Speech2Text2ForCausalLM 2025-01-24T04:52:28.7290427Z WARNING:common:fp64 golden ref were not generated for Speech2Text2ForCausalLM. Setting accuracy check to cosine 2025-01-24T04:52:39.1863607Z Compilation time (from dynamo_timed): 5.706062605 2025-01-24T04:52:39.1873273Z pass 2025-01-24T04:52:39.1921277Z TIMING: entire_frame_compile:4.43831 gc:0.00714 _recursive_pre_grad_passes:0.15251 _recursive_joint_graph_passes:0.24787 inductor_compile:2.85491 backend_compile:3.53942 async_compile.precompile:0.10678 async_compile.wait:0.81441 _recursive_post_grad_passes:0.10841 code_gen:1.93748 pad_mm_benchmark:0.01638 entire_backward_compile:1.26775 total_wall_time:5.70606 2025-01-24T04:52:39.1923397Z STATS: call_* op count: 68 | FakeTensorMode.__torch_dispatch__:4500 | ProxyTorchDispatchMode.__torch_dispatch__:1868 | FakeTensor.__torch_dispatch__:657 2025-01-24T04:52:39.1924187Z Dynamo produced 6 graphs covering 68 ops with 6 graph breaks (5 unique) 2025-01-24T04:52:44.4760956Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:52:44.4762158Z warnings.warn( 2025-01-24T04:52:44.8418642Z 2025-01-24T04:52:46.3329968Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:52:46.3330336Z loading model: 0it [00:01, ?it/s] 2025-01-24T04:52:46.3330713Z cuda train T5ForConditionalGeneration 2025-01-24T04:53:26.5040482Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:53:26.5041711Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:53:26.5042407Z pred = mod(**cloned_inputs) 2025-01-24T04:53:26.5043018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1706, in forward 2025-01-24T04:53:26.5043641Z encoder_outputs = self.encoder( 2025-01-24T04:53:26.5044273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1016, in forward 2025-01-24T04:53:26.5044911Z inputs_embeds = self.embed_tokens(input_ids) 2025-01-24T04:53:26.5045146Z 2025-01-24T04:53:26.6337681Z W0124 04:53:26.632000 21709 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:53:28.0389345Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", "L['self'].param_groups[0]['params'][17].grad", "L['self'].param_groups[0]['params'][18].grad", "L['self'].param_groups[0]['params'][19].grad", "L['self'].param_groups[0]['params'][20].grad", "L['self'].param_groups[0]['params'][21].grad", "L['self'].param_groups[0]['params'][22].grad", "L['self'].param_groups[0]['params'][23].grad", "L['self'].param_groups[0]['params'][24].grad", "L['self'].param_groups[0]['params'][25].grad", "L['self'].param_groups[0]['params'][26].grad", "L['self'].param_groups[0]['params'][27].grad", "L['self'].param_groups[0]['params'][28].grad", "L['self'].param_groups[0]['params'][29].grad", "L['self'].param_groups[0]['params'][30].grad", "L['self'].param_groups[0]['params'][31].grad", "L['self'].param_groups[0]['params'][32].grad", "L['self'].param_groups[0]['params'][33].grad", "L['self'].param_groups[0]['params'][34].grad", "L['self'].param_groups[0]['params'][35].grad", "L['self'].param_groups[0]['params'][36].grad", "L['self'].param_groups[0]['params'][37].grad", "L['self'].param_groups[0]['params'][38].grad", "L['self'].param_groups[0]['params'][39].grad", "L['self'].param_groups[0]['params'][40].grad", "L['self'].param_groups[0]['params'][41].grad", "L['self'].param_groups[0]['params'][42].grad", "L['self'].param_groups[0]['params'][43].grad", "L['self'].param_groups[0]['params'][44].grad", "L['self'].param_groups[0]['params'][45].grad", "L['self'].param_groups[0]['params'][46].grad", "L['self'].param_groups[0]['params'][47].grad", "L['self'].param_groups[0]['params'][48].grad", "L['self'].param_groups[0]['params'][49].grad", "L['self'].param_groups[0]['params'][50].grad", "L['self'].param_groups[0]['params'][51].grad", "L['self'].param_groups[0]['params'][52].grad", "L['self'].param_groups[0]['params'][53].grad", "L['self'].param_groups[0]['params'][54].grad", "L['self'].param_groups[0]['params'][55].grad", "L['self'].param_groups[0]['params'][56].grad", "L['self'].param_groups[0]['params'][57].grad", "L['self'].param_groups[0]['params'][58].grad", "L['self'].param_groups[0]['params'][59].grad", "L['self'].param_groups[0]['params'][60].grad", "L['self'].param_groups[0]['params'][61].grad", "L['self'].param_groups[0]['params'][62].grad", "L['self'].param_groups[0]['params'][63].grad", "L['self'].param_groups[0]['params'][64].grad", "L['self'].param_groups[0]['params'][65].grad", "L['self'].param_groups[0]['params'][66].grad", "L['self'].param_groups[0]['params'][67].grad", "L['self'].param_groups[0]['params'][68].grad", "L['self'].param_groups[0]['params'][69].grad", "L['self'].param_groups[0]['params'][70].grad", "L['self'].param_groups[0]['params'][71].grad", "L['self'].param_groups[0]['params'][72].grad", "L['self'].param_groups[0]['params'][73].grad", "L['self'].param_groups[0]['params'][74].grad", "L['self'].param_groups[0]['params'][75].grad", "L['self'].param_groups[0]['params'][76].grad", "L['self'].param_groups[0]['params'][77].grad", "L['self'].param_groups[0]['params'][78].grad", "L['self'].param_groups[0]['params'][79].grad", "L['self'].param_groups[0]['params'][80].grad", "L['self'].param_groups[0]['params'][81].grad", "L['self'].param_groups[0]['params'][82].grad", "L['self'].param_groups[0]['params'][83].grad", "L['self'].param_groups[0]['params'][84].grad", "L['self'].param_groups[0]['params'][85].grad", "L['self'].param_groups[0]['params'][86].grad", "L['self'].param_groups[0]['params'][87].grad", "L['self'].param_groups[0]['params'][88].grad", "L['self'].param_groups[0]['params'][89].grad", "L['self'].param_groups[0]['params'][90].grad", "L['self'].param_groups[0]['params'][91].grad", "L['self'].param_groups[0]['params'][92].grad", "L['self'].param_groups[0]['params'][93].grad", "L['self'].param_groups[0]['params'][94].grad", "L['self'].param_groups[0]['params'][95].grad", "L['self'].param_groups[0]['params'][96].grad", "L['self'].param_groups[0]['params'][97].grad", "L['self'].param_groups[0]['params'][98].grad", "L['self'].param_groups[0]['params'][99].grad", "L['self'].param_groups[0]['params'][100].grad", "L['self'].param_groups[0]['params'][101].grad", "L['self'].param_groups[0]['params'][102].grad", "L['self'].param_groups[0]['params'][103].grad", "L['self'].param_groups[0]['params'][104].grad", "L['self'].param_groups[0]['params'][105].grad", "L['self'].param_groups[0]['params'][106].grad", "L['self'].param_groups[0]['params'][107].grad", "L['self'].param_groups[0]['params'][108].grad", "L['self'].param_groups[0]['params'][109].grad", "L['self'].param_groups[0]['params'][110].grad", "L['self'].param_groups[0]['params'][111].grad", "L['self'].param_groups[0]['params'][112].grad", "L['self'].param_groups[0]['params'][113].grad", "L['self'].param_groups[0]['params'][114].grad", "L['self'].param_groups[0]['params'][115].grad", "L['self'].param_groups[0]['params'][116].grad", "L['self'].param_groups[0]['params'][117].grad", "L['self'].param_groups[0]['params'][118].grad", "L['self'].param_groups[0]['params'][119].grad", "L['self'].param_groups[0]['params'][120].grad", "L['self'].param_groups[0]['params'][121].grad", "L['self'].param_groups[0]['params'][122].grad", "L['self'].param_groups[0]['params'][123].grad", "L['self'].param_groups[0]['params'][124].grad", "L['self'].param_groups[0]['params'][125].grad", "L['self'].param_groups[0]['params'][126].grad", "L['self'].param_groups[0]['params'][127].grad", "L['self'].param_groups[0]['params'][128].grad", "L['self'].param_groups[0]['params'][129].grad", "L['self'].param_groups[0]['params'][130].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:53:58.2421280Z Compilation time (from dynamo_timed): 64.446482027 2025-01-24T04:53:58.2445073Z pass 2025-01-24T04:53:58.3107325Z TIMING: entire_frame_compile:55.7176 gc:0.00341 _recursive_pre_grad_passes:0.05814 pad_mm_benchmark:0.23189 _recursive_joint_graph_passes:2.10057 _recursive_post_grad_passes:0.74606 async_compile.wait:4.38418 code_gen:17.97183 inductor_compile:30.53995 backend_compile:42.11507 entire_backward_compile:8.72889 total_wall_time:64.44648 2025-01-24T04:53:58.3110060Z STATS: call_* op count: 1487 | FakeTensorMode.__torch_dispatch__:67996 | ProxyTorchDispatchMode.__torch_dispatch__:31555 | FakeTensor.__torch_dispatch__:11876 2025-01-24T04:53:58.3111048Z Dynamo produced 2 graphs covering 1487 ops with 5 graph breaks (4 unique) 2025-01-24T04:54:05.7846273Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:54:05.7847449Z warnings.warn( 2025-01-24T04:54:14.7741162Z 2025-01-24T04:54:16.3770092Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:54:16.3770756Z loading model: 0it [00:01, ?it/s] 2025-01-24T04:54:16.3771408Z cuda train T5Small 2025-01-24T04:54:29.4214183Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:54:29.4216774Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:54:29.4218918Z pred = mod(**cloned_inputs) 2025-01-24T04:54:29.4219721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1706, in forward 2025-01-24T04:54:29.4220345Z encoder_outputs = self.encoder( 2025-01-24T04:54:29.4220950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/t5/modeling_t5.py", line 1016, in forward 2025-01-24T04:54:29.4221579Z inputs_embeds = self.embed_tokens(input_ids) 2025-01-24T04:54:29.4221820Z 2025-01-24T04:54:30.8351375Z W0124 04:54:30.834000 22068 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:54:32.2010919Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", "L['self'].param_groups[0]['params'][17].grad", "L['self'].param_groups[0]['params'][18].grad", "L['self'].param_groups[0]['params'][19].grad", "L['self'].param_groups[0]['params'][20].grad", "L['self'].param_groups[0]['params'][21].grad", "L['self'].param_groups[0]['params'][22].grad", 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"L['self'].param_groups[0]['params'][83].grad", "L['self'].param_groups[0]['params'][84].grad", "L['self'].param_groups[0]['params'][85].grad", "L['self'].param_groups[0]['params'][86].grad", "L['self'].param_groups[0]['params'][87].grad", "L['self'].param_groups[0]['params'][88].grad", "L['self'].param_groups[0]['params'][89].grad", "L['self'].param_groups[0]['params'][90].grad", "L['self'].param_groups[0]['params'][91].grad", "L['self'].param_groups[0]['params'][92].grad", "L['self'].param_groups[0]['params'][93].grad", "L['self'].param_groups[0]['params'][94].grad", "L['self'].param_groups[0]['params'][95].grad", "L['self'].param_groups[0]['params'][96].grad", "L['self'].param_groups[0]['params'][97].grad", "L['self'].param_groups[0]['params'][98].grad", "L['self'].param_groups[0]['params'][99].grad", "L['self'].param_groups[0]['params'][100].grad", "L['self'].param_groups[0]['params'][101].grad", "L['self'].param_groups[0]['params'][102].grad", "L['self'].param_groups[0]['params'][103].grad", "L['self'].param_groups[0]['params'][104].grad", "L['self'].param_groups[0]['params'][105].grad", "L['self'].param_groups[0]['params'][106].grad", "L['self'].param_groups[0]['params'][107].grad", "L['self'].param_groups[0]['params'][108].grad", "L['self'].param_groups[0]['params'][109].grad", "L['self'].param_groups[0]['params'][110].grad", "L['self'].param_groups[0]['params'][111].grad", "L['self'].param_groups[0]['params'][112].grad", "L['self'].param_groups[0]['params'][113].grad", "L['self'].param_groups[0]['params'][114].grad", "L['self'].param_groups[0]['params'][115].grad", "L['self'].param_groups[0]['params'][116].grad", "L['self'].param_groups[0]['params'][117].grad", "L['self'].param_groups[0]['params'][118].grad", "L['self'].param_groups[0]['params'][119].grad", "L['self'].param_groups[0]['params'][120].grad", "L['self'].param_groups[0]['params'][121].grad", "L['self'].param_groups[0]['params'][122].grad", "L['self'].param_groups[0]['params'][123].grad", "L['self'].param_groups[0]['params'][124].grad", "L['self'].param_groups[0]['params'][125].grad", "L['self'].param_groups[0]['params'][126].grad", "L['self'].param_groups[0]['params'][127].grad", "L['self'].param_groups[0]['params'][128].grad", "L['self'].param_groups[0]['params'][129].grad", "L['self'].param_groups[0]['params'][130].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:54:42.7090085Z Compilation time (from dynamo_timed): 19.956961194 2025-01-24T04:54:42.7114698Z pass 2025-01-24T04:54:42.7717746Z TIMING: entire_frame_compile:19.95696 gc:0.00406 _recursive_pre_grad_passes:0.05493 async_compile.wait:0.41369 backend_compile:6.5542 total_wall_time:19.95696 2025-01-24T04:54:42.7718664Z STATS: call_* op count: 1487 | FakeTensorMode.__torch_dispatch__:10190 | FakeTensor.__torch_dispatch__:1576 2025-01-24T04:54:42.7719308Z Dynamo produced 2 graphs covering 1487 ops with 5 graph breaks (4 unique) 2025-01-24T04:54:48.2427211Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:54:48.2428387Z warnings.warn( 2025-01-24T04:54:52.1771269Z 2025-01-24T04:54:56.1016259Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:54:56.1016943Z loading model: 0it [00:03, ?it/s] 2025-01-24T04:54:56.1017367Z cuda train TrOCRForCausalLM 2025-01-24T04:54:56.1323735Z WARNING:common:fp64 golden ref were not generated for TrOCRForCausalLM. Setting accuracy check to cosine 2025-01-24T04:55:04.4235565Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T04:55:04.4236358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/trocr/modeling_trocr.py", line 66, in forward 2025-01-24T04:55:04.4237038Z return super().forward(positions + self.offset) 2025-01-24T04:55:04.4237310Z 2025-01-24T04:55:10.6275243Z Compilation time (from dynamo_timed): 6.293873007999999 2025-01-24T04:55:10.6293756Z pass 2025-01-24T04:55:10.7153534Z TIMING: entire_frame_compile:4.68977 gc:0.00546 _recursive_pre_grad_passes:0.00688 _recursive_joint_graph_passes:0.47635 inductor_compile:3.31611 backend_compile:3.77665 _recursive_post_grad_passes:0.10551 async_compile.precompile:0.15071 async_compile.wait:1.02205 code_gen:2.32174 pad_mm_benchmark:0.23172 entire_backward_compile:1.6041 total_wall_time:6.29387 2025-01-24T04:55:10.7155305Z STATS: call_* op count: 59 | FakeTensorMode.__torch_dispatch__:4578 | FakeTensor.__torch_dispatch__:699 | ProxyTorchDispatchMode.__torch_dispatch__:1916 2025-01-24T04:55:10.7156100Z Dynamo produced 6 graphs covering 59 ops with 6 graph breaks (5 unique) 2025-01-24T04:55:16.0387282Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:55:16.0388459Z warnings.warn( 2025-01-24T04:55:16.4824718Z 2025-01-24T04:55:26.0761089Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:55:26.0761538Z loading model: 0it [00:09, ?it/s] 2025-01-24T04:55:26.0762376Z cuda train XGLMForCausalLM 2025-01-24T04:55:26.1291915Z WARNING:common:fp64 golden ref were not generated for XGLMForCausalLM. Setting accuracy check to cosine 2025-01-24T04:55:30.0505252Z skipping cudagraphs due to mutated inputs (1 instances). Found from : 2025-01-24T04:55:30.0506052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xglm/modeling_xglm.py", line 174, in forward 2025-01-24T04:55:30.0506750Z position_ids += self.offset 2025-01-24T04:55:30.0506938Z 2025-01-24T04:55:47.1688618Z Compilation time (from dynamo_timed): 6.020758848 2025-01-24T04:55:47.1712837Z pass 2025-01-24T04:55:47.2528691Z TIMING: entire_frame_compile:4.66101 gc:0.00652 _recursive_pre_grad_passes:0.00809 _recursive_joint_graph_passes:0.25105 inductor_compile:3.19416 backend_compile:3.71718 async_compile.precompile:0.17711 async_compile.wait:0.94542 _recursive_post_grad_passes:0.11131 code_gen:2.199 pad_mm_benchmark:0.0161 entire_backward_compile:1.35975 total_wall_time:6.02076 2025-01-24T04:55:47.2530452Z STATS: call_* op count: 67 | FakeTensorMode.__torch_dispatch__:4663 | ProxyTorchDispatchMode.__torch_dispatch__:1946 | FakeTensor.__torch_dispatch__:738 2025-01-24T04:55:47.2531250Z Dynamo produced 6 graphs covering 67 ops with 6 graph breaks (5 unique) 2025-01-24T04:55:52.6171516Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:55:52.6172673Z warnings.warn( 2025-01-24T04:55:53.5094944Z 2025-01-24T04:55:58.0559655Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:55:58.0560005Z loading model: 0it [00:04, ?it/s] 2025-01-24T04:55:58.0560321Z cuda train XLNetLMHeadModel 2025-01-24T04:56:52.3664773Z W0124 04:56:52.365000 22676 site-packages/torch/_inductor/utils.py:1612] [3/0_1] DeviceCopy in input program 2025-01-24T04:57:08.3919863Z skipping cudagraphs due to skipping cudagraphs due to cpu device (cat). Found from : 2025-01-24T04:57:08.3920916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T04:57:08.3921731Z pred = mod(**cloned_inputs) 2025-01-24T04:57:08.3922467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 1446, in forward 2025-01-24T04:57:08.3923127Z transformer_outputs = self.transformer( 2025-01-24T04:57:08.3923817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 1203, in forward 2025-01-24T04:57:08.3924545Z pos_emb = self.relative_positional_encoding(qlen, klen, bsz=bsz) 2025-01-24T04:57:08.3925358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 1055, in relative_positional_encoding 2025-01-24T04:57:08.3926176Z pos_emb = self.positional_embedding(fwd_pos_seq, inv_freq, bsz) 2025-01-24T04:57:08.3926952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/xlnet/modeling_xlnet.py", line 1014, in positional_embedding 2025-01-24T04:57:08.3927649Z pos_emb = pos_emb[:, None, :] 2025-01-24T04:57:08.3927842Z 2025-01-24T04:57:30.1392124Z W0124 04:57:30.138000 22676 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T04:57:35.2245440Z ('Grad tensors ["L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", 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"L['self'].param_groups[0]['params'][398].grad", "L['self'].param_groups[0]['params'][400].grad", "L['self'].param_groups[0]['params'][402].grad", "L['self'].param_groups[0]['params'][403].grad", "L['self'].param_groups[0]['params'][404].grad", "L['self'].param_groups[0]['params'][405].grad", "L['self'].param_groups[0]['params'][406].grad", "L['self'].param_groups[0]['params'][407].grad", "L['self'].param_groups[0]['params'][408].grad", "L['self'].param_groups[0]['params'][409].grad", "L['self'].param_groups[0]['params'][410].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T04:58:56.3350215Z Compilation time (from dynamo_timed): 164.33395885000002 2025-01-24T04:58:56.3417269Z pass 2025-01-24T04:58:56.5495410Z TIMING: entire_frame_compile:144.87426 gc:0.00381 _recursive_pre_grad_passes:0.10994 pad_mm_benchmark:0.40928 _recursive_joint_graph_passes:4.27292 _recursive_post_grad_passes:3.11204 async_compile.wait:6.92364 code_gen:46.66385 inductor_compile:81.25697 backend_compile:112.44515 entire_backward_compile:19.4597 total_wall_time:164.33396 2025-01-24T04:58:56.5497622Z STATS: call_* op count: 2599 | FakeTensorMode.__torch_dispatch__:168061 | FakeTensor.__torch_dispatch__:29201 | ProxyTorchDispatchMode.__torch_dispatch__:69620 2025-01-24T04:58:56.5498477Z Dynamo produced 2 graphs covering 2599 ops with 5 graph breaks (4 unique) 2025-01-24T04:59:07.9875881Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/huggingface_hub/file_download.py:795: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`. 2025-01-24T04:59:07.9877186Z warnings.warn( 2025-01-24T04:59:08.2327984Z 2025-01-24T04:59:10.5275490Z loading model: 0it [00:00, ?it/s] 2025-01-24T04:59:10.5275874Z loading model: 0it [00:02, ?it/s] 2025-01-24T04:59:10.5276278Z cuda train YituTechConvBert 2025-01-24T05:00:01.6276825Z skipping cudagraphs due to deterministic index put. Found from : 2025-01-24T05:00:01.6279756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/huggingface.py", line 528, in torch_dynamo_resume_in_forward_and_backward_pass_at_526 2025-01-24T05:00:01.6280548Z pred = mod(**cloned_inputs) 2025-01-24T05:00:01.6281325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 918, in forward 2025-01-24T05:00:01.6282091Z generator_hidden_states = self.convbert( 2025-01-24T05:00:01.6282840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 834, in forward 2025-01-24T05:00:01.6283558Z hidden_states = self.embeddings( 2025-01-24T05:00:01.6284267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/convbert/modeling_convbert.py", line 230, in forward 2025-01-24T05:00:01.6285061Z inputs_embeds = self.word_embeddings(input_ids) 2025-01-24T05:00:01.6285363Z 2025-01-24T05:00:01.8566879Z W0124 05:00:01.855000 23210 site-packages/torch/_logging/_internal.py:1093] [4/0] Profiler function will be ignored 2025-01-24T05:00:04.5477698Z ('Grad tensors ["L['self'].param_groups[0]['params'][0].grad", "L['self'].param_groups[0]['params'][1].grad", "L['self'].param_groups[0]['params'][2].grad", "L['self'].param_groups[0]['params'][3].grad", "L['self'].param_groups[0]['params'][4].grad", "L['self'].param_groups[0]['params'][5].grad", "L['self'].param_groups[0]['params'][6].grad", "L['self'].param_groups[0]['params'][7].grad", "L['self'].param_groups[0]['params'][8].grad", "L['self'].param_groups[0]['params'][9].grad", "L['self'].param_groups[0]['params'][10].grad", "L['self'].param_groups[0]['params'][11].grad", "L['self'].param_groups[0]['params'][12].grad", "L['self'].param_groups[0]['params'][13].grad", "L['self'].param_groups[0]['params'][14].grad", "L['self'].param_groups[0]['params'][15].grad", "L['self'].param_groups[0]['params'][16].grad", 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"L['self'].param_groups[0]['params'][257].grad", "L['self'].param_groups[0]['params'][258].grad", "L['self'].param_groups[0]['params'][259].grad", "L['self'].param_groups[0]['params'][260].grad", "L['self'].param_groups[0]['params'][261].grad", "L['self'].param_groups[0]['params'][262].grad", "L['self'].param_groups[0]['params'][263].grad", "L['self'].param_groups[0]['params'][264].grad", "L['self'].param_groups[0]['params'][265].grad", "L['self'].param_groups[0]['params'][266].grad", "L['self'].param_groups[0]['params'][267].grad", "L['self'].param_groups[0]['params'][268].grad", "L['self'].param_groups[0]['params'][269].grad", "L['self'].param_groups[0]['params'][270].grad", "L['self'].param_groups[0]['params'][271].grad", "L['self'].param_groups[0]['params'][272].grad", "L['self'].param_groups[0]['params'][273].grad", "L['self'].param_groups[0]['params'][274].grad", "L['self'].param_groups[0]['params'][275].grad", "L['self'].param_groups[0]['params'][276].grad", "L['self'].param_groups[0]['params'][277].grad", "L['self'].param_groups[0]['params'][278].grad", "L['self'].param_groups[0]['params'][279].grad", "L['self'].param_groups[0]['params'][280].grad", "L['self'].param_groups[0]['params'][281].grad", "L['self'].param_groups[0]['params'][282].grad", "L['self'].param_groups[0]['params'][283].grad", "L['self'].param_groups[0]['params'][284].grad", "L['self'].param_groups[0]['params'][285].grad"] will be copied during cudagraphs execution.If using cudagraphs and the grad tensor addresses will be the same across runs, use torch._dynamo.decorators.mark_static_address to elide this copy.',) 2025-01-24T05:01:06.9838593Z Compilation time (from dynamo_timed): 108.196095632 2025-01-24T05:01:06.9872445Z pass 2025-01-24T05:01:07.0415305Z TIMING: entire_frame_compile:95.27077 gc:0.00321 _recursive_pre_grad_passes:0.09047 pad_mm_benchmark:0.62294 _recursive_joint_graph_passes:2.64581 _recursive_post_grad_passes:1.30601 async_compile.wait:5.46887 code_gen:32.95922 inductor_compile:54.83261 backend_compile:74.11469 entire_backward_compile:12.92533 total_wall_time:108.1961 2025-01-24T05:01:07.0417121Z STATS: call_* op count: 2085 | FakeTensorMode.__torch_dispatch__:93668 | FakeTensor.__torch_dispatch__:20651 | ProxyTorchDispatchMode.__torch_dispatch__:42000 2025-01-24T05:01:07.0418021Z Dynamo produced 2 graphs covering 2085 ops with 5 graph breaks (4 unique) 2025-01-24T05:01:13.2165615Z accuracy pass_rate=93.48% 2025-01-24T05:01:13.2168508Z calls_captured gmean=0.00x mean=951.261x 2025-01-24T05:01:13.2172822Z unique_graphs gmean=0.00x mean=3.217x 2025-01-24T05:01:13.2176592Z graph_breaks gmean=0.00x mean=5.109x 2025-01-24T05:01:13.2180389Z unique_graph_breaks gmean=0.00x mean=4.000x 2025-01-24T05:01:13.2184282Z autograd_captures gmean=0.00x mean=0.000x 2025-01-24T05:01:13.2187885Z autograd_compiles gmean=0.00x mean=0.000x 2025-01-24T05:01:13.2191433Z cudagraph_skips gmean=0.00x mean=0.891x 2025-01-24T05:01:13.2192124Z compilation_latency mean=49.018 seconds 2025-01-24T05:01:14.8263718Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/training_huggingface.csv --expected benchmarks/dynamo/ci_expected_accuracy/inductor_huggingface_training.csv 2025-01-24T05:01:15.0927403Z AlbertForMaskedLM PASS 2025-01-24T05:01:15.0931934Z AlbertForQuestionAnswering PASS 2025-01-24T05:01:15.0937481Z AllenaiLongformerBase PASS 2025-01-24T05:01:15.0942614Z BartForCausalLM PASS 2025-01-24T05:01:15.0947630Z BartForConditionalGeneration PASS 2025-01-24T05:01:15.0952432Z BertForMaskedLM PASS 2025-01-24T05:01:15.0957740Z BertForQuestionAnswering PASS 2025-01-24T05:01:15.0962320Z BlenderbotForCausalLM XFAIL 2025-01-24T05:01:15.0967335Z BlenderbotSmallForCausalLM PASS 2025-01-24T05:01:15.0972249Z BlenderbotSmallForConditionalGeneration PASS 2025-01-24T05:01:15.0977190Z CamemBert PASS 2025-01-24T05:01:15.0981915Z DebertaForMaskedLM PASS 2025-01-24T05:01:15.0986929Z DebertaForQuestionAnswering PASS 2025-01-24T05:01:15.0991700Z DebertaV2ForMaskedLM XFAIL 2025-01-24T05:01:15.0996932Z DebertaV2ForQuestionAnswering XFAIL 2025-01-24T05:01:15.1001727Z DistilBertForMaskedLM PASS 2025-01-24T05:01:15.1006738Z DistilBertForQuestionAnswering PASS 2025-01-24T05:01:15.1011928Z DistillGPT2 PASS 2025-01-24T05:01:15.1016923Z ElectraForCausalLM PASS 2025-01-24T05:01:15.1021794Z ElectraForQuestionAnswering PASS 2025-01-24T05:01:15.1026753Z GPT2ForSequenceClassification PASS 2025-01-24T05:01:15.1031474Z GoogleFnet PASS 2025-01-24T05:01:15.1036718Z LayoutLMForMaskedLM PASS 2025-01-24T05:01:15.1041682Z LayoutLMForSequenceClassification PASS 2025-01-24T05:01:15.1046523Z M2M100ForConditionalGeneration PASS 2025-01-24T05:01:15.1051500Z MBartForCausalLM PASS 2025-01-24T05:01:15.1056241Z MBartForConditionalGeneration PASS 2025-01-24T05:01:15.1061170Z MT5ForConditionalGeneration PASS 2025-01-24T05:01:15.1066020Z MegatronBertForCausalLM PASS 2025-01-24T05:01:15.1070821Z MegatronBertForQuestionAnswering PASS 2025-01-24T05:01:15.1075804Z MobileBertForMaskedLM PASS 2025-01-24T05:01:15.1080737Z MobileBertForQuestionAnswering PASS 2025-01-24T05:01:15.1085556Z OPTForCausalLM PASS 2025-01-24T05:01:15.1090548Z PLBartForCausalLM PASS 2025-01-24T05:01:15.1095412Z PLBartForConditionalGeneration PASS 2025-01-24T05:01:15.1100428Z PegasusForCausalLM PASS 2025-01-24T05:01:15.1105276Z PegasusForConditionalGeneration PASS 2025-01-24T05:01:15.1110477Z RobertaForCausalLM PASS 2025-01-24T05:01:15.1115640Z RobertaForQuestionAnswering PASS 2025-01-24T05:01:15.1120502Z Speech2Text2ForCausalLM PASS 2025-01-24T05:01:15.1125360Z T5ForConditionalGeneration PASS 2025-01-24T05:01:15.1130298Z T5Small PASS 2025-01-24T05:01:15.1135141Z TrOCRForCausalLM PASS 2025-01-24T05:01:15.1140030Z XGLMForCausalLM PASS 2025-01-24T05:01:15.1144711Z XLNetLMHeadModel PASS 2025-01-24T05:01:15.1149559Z YituTechConvBert PASS 2025-01-24T05:01:15.1576712Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/workspace/test/test-reports/training_huggingface.csv --expected benchmarks/dynamo/ci_expected_accuracy/inductor_huggingface_training.csv 2025-01-24T05:01:15.4228595Z AlbertForMaskedLM PASS 2025-01-24T05:01:15.4233152Z AlbertForQuestionAnswering PASS 2025-01-24T05:01:15.4237958Z AllenaiLongformerBase PASS 2025-01-24T05:01:15.4243055Z BartForCausalLM PASS 2025-01-24T05:01:15.4247871Z BartForConditionalGeneration PASS 2025-01-24T05:01:15.4252860Z BertForMaskedLM PASS 2025-01-24T05:01:15.4257361Z BertForQuestionAnswering PASS 2025-01-24T05:01:15.4262137Z BlenderbotForCausalLM PASS 2025-01-24T05:01:15.4266522Z BlenderbotSmallForCausalLM PASS 2025-01-24T05:01:15.4271119Z BlenderbotSmallForConditionalGeneration PASS 2025-01-24T05:01:15.4275771Z CamemBert PASS 2025-01-24T05:01:15.4280418Z DebertaForMaskedLM PASS 2025-01-24T05:01:15.4285035Z DebertaForQuestionAnswering PASS 2025-01-24T05:01:15.4289694Z DebertaV2ForMaskedLM PASS 2025-01-24T05:01:15.4294263Z DebertaV2ForQuestionAnswering PASS 2025-01-24T05:01:15.4298897Z DistilBertForMaskedLM PASS 2025-01-24T05:01:15.4303540Z DistilBertForQuestionAnswering PASS 2025-01-24T05:01:15.4308328Z DistillGPT2 PASS 2025-01-24T05:01:15.4313285Z ElectraForCausalLM PASS 2025-01-24T05:01:15.4317992Z ElectraForQuestionAnswering PASS 2025-01-24T05:01:15.4322620Z GPT2ForSequenceClassification PASS 2025-01-24T05:01:15.4327162Z GoogleFnet PASS 2025-01-24T05:01:15.4331786Z LayoutLMForMaskedLM PASS 2025-01-24T05:01:15.4336423Z LayoutLMForSequenceClassification PASS 2025-01-24T05:01:15.4340994Z M2M100ForConditionalGeneration PASS 2025-01-24T05:01:15.4345589Z MBartForCausalLM PASS 2025-01-24T05:01:15.4350236Z MBartForConditionalGeneration PASS 2025-01-24T05:01:15.4355066Z MT5ForConditionalGeneration PASS 2025-01-24T05:01:15.4359590Z MegatronBertForCausalLM PASS 2025-01-24T05:01:15.4364257Z MegatronBertForQuestionAnswering PASS 2025-01-24T05:01:15.4368782Z MobileBertForMaskedLM PASS 2025-01-24T05:01:15.4373487Z MobileBertForQuestionAnswering PASS 2025-01-24T05:01:15.4378112Z OPTForCausalLM PASS 2025-01-24T05:01:15.4382867Z PLBartForCausalLM PASS 2025-01-24T05:01:15.4387479Z PLBartForConditionalGeneration PASS 2025-01-24T05:01:15.4392023Z PegasusForCausalLM PASS 2025-01-24T05:01:15.4396829Z PegasusForConditionalGeneration PASS 2025-01-24T05:01:15.4401280Z RobertaForCausalLM PASS 2025-01-24T05:01:15.4405924Z RobertaForQuestionAnswering PASS 2025-01-24T05:01:15.4411042Z Speech2Text2ForCausalLM PASS 2025-01-24T05:01:15.4415634Z T5ForConditionalGeneration PASS 2025-01-24T05:01:15.4420274Z T5Small PASS 2025-01-24T05:01:15.4424809Z TrOCRForCausalLM PASS 2025-01-24T05:01:15.4429406Z XGLMForCausalLM PASS 2025-01-24T05:01:15.4434173Z XLNetLMHeadModel PASS 2025-01-24T05:01:15.4438844Z YituTechConvBert PASS 2025-01-24T05:01:15.4863513Z + cleanup_workspace 2025-01-24T05:01:15.4864220Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-01-24T05:01:15.4865103Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-01-24T05:01:15.4865923Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-01-24T05:01:15.4866521Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-01-24T05:01:15.4867050Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-01-24T05:01:15.4867612Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-01-24T05:01:15.4868067Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-01-24T05:01:16.2467703Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-01-24T05:01:16.2468162Z with: 2025-01-24T05:01:16.2468416Z benchmark-results-dir: test/test-reports 2025-01-24T05:01:16.2468737Z dry-run: false 2025-01-24T05:01:16.2468971Z schema-version: v3 2025-01-24T05:01:16.2469405Z github-token: *** 2025-01-24T05:01:16.2469642Z env: 2025-01-24T05:01:16.2469859Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:16.2470191Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:16.2470727Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:16.2471194Z ##[endgroup] 2025-01-24T05:01:16.2497857Z ##[group]Run set -eux 2025-01-24T05:01:16.2498126Z set -eux 2025-01-24T05:01:16.2498393Z python3 -mpip install boto3==1.35.33 2025-01-24T05:01:16.2512707Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T05:01:16.2513079Z env: 2025-01-24T05:01:16.2513330Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:16.2513660Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:16.2514177Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:16.2514643Z ##[endgroup] 2025-01-24T05:01:16.2549846Z + python3 -mpip install boto3==1.35.33 2025-01-24T05:01:16.4985442Z Defaulting to user installation because normal site-packages is not writeable 2025-01-24T05:01:17.6523350Z Collecting boto3==1.35.33 2025-01-24T05:01:17.6771439Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-01-24T05:01:18.8812014Z Collecting botocore<1.36.0,>=1.35.33 2025-01-24T05:01:18.8848775Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-01-24T05:01:19.0637667Z 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) 2025-01-24T05:01:19.1016047Z Collecting s3transfer<0.11.0,>=0.10.0 2025-01-24T05:01:19.1049958Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-01-24T05:01:19.1144320Z 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) 2025-01-24T05:01:19.1148284Z 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) 2025-01-24T05:01:19.2592447Z 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) 2025-01-24T05:01:19.3505764Z Installing collected packages: botocore, s3transfer, boto3 2025-01-24T05:01:19.9472039Z Successfully installed boto3-1.35.33 botocore-1.35.99 s3transfer-0.10.4 2025-01-24T05:01:20.0597242Z ##[group]Run set -eux 2025-01-24T05:01:20.0597528Z set -eux 2025-01-24T05:01:20.0597757Z  2025-01-24T05:01:20.0598000Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-01-24T05:01:20.0598369Z  echo "Missing github-token input" 2025-01-24T05:01:20.0598684Z  exit 1 2025-01-24T05:01:20.0598913Z fi 2025-01-24T05:01:20.0609704Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T05:01:20.0610059Z env: 2025-01-24T05:01:20.0610280Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:20.0610602Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:20.0611120Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:20.0611945Z GITHUB_TOKEN: *** 2025-01-24T05:01:20.0612189Z ##[endgroup] 2025-01-24T05:01:20.0641486Z + [[ -z *** ]] 2025-01-24T05:01:20.0692977Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-01-24T05:01:20.0693410Z with: 2025-01-24T05:01:20.0693757Z github-token: *** 2025-01-24T05:01:20.0693998Z env: 2025-01-24T05:01:20.0694222Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:20.0694555Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:20.0695299Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:20.0695775Z ##[endgroup] 2025-01-24T05:01:20.0734831Z ##[group]Run set -eux 2025-01-24T05:01:20.0735089Z set -eux 2025-01-24T05:01:20.0735316Z  2025-01-24T05:01:20.0735767Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-01-24T05:01:20.0743787Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T05:01:20.0744144Z env: 2025-01-24T05:01:20.0744359Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:20.0744679Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:20.0745206Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:20.0745979Z GITHUB_TOKEN: *** 2025-01-24T05:01:20.0746229Z ##[endgroup] 2025-01-24T05:01:20.0774652Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 12940917610 i-06104fb7bf5509793 2025-01-24T05:01:21.1689826Z setting job-id=36100811589 2025-01-24T05:01:21.1690369Z setting job-name=cuda12.4-py3.10-gcc9-sm86 / test (inductor_huggingface, 1, 1, linux.g5.4xlarge.nvidia.gpu) 2025-01-24T05:01:21.1799630Z ##[group]Run set -eux 2025-01-24T05:01:21.1799918Z set -eux 2025-01-24T05:01:21.1800208Z  2025-01-24T05:01:21.1800590Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-01-24T05:01:21.1801086Z  --schema-version "${SCHEMA_VERSION}" \ 2025-01-24T05:01:21.1801435Z  --repo "${REPO}" \ 2025-01-24T05:01:21.1801938Z  --head-branch "${HEAD_BRANCH}" \ 2025-01-24T05:01:21.1802269Z  --head-sha "${HEAD_SHA}" \ 2025-01-24T05:01:21.1802610Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-01-24T05:01:21.1802968Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-01-24T05:01:21.1803309Z  --job-id "${JOB_ID}" \ 2025-01-24T05:01:21.1803615Z  --job-name "${JOB_NAME}" 2025-01-24T05:01:21.1812927Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T05:01:21.1813297Z env: 2025-01-24T05:01:21.1813518Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:21.1813850Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:21.1814390Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:21.1814869Z SCHEMA_VERSION: v3 2025-01-24T05:01:21.1815122Z REPO: pytorch/pytorch 2025-01-24T05:01:21.1815424Z HEAD_BRANCH: refs/tags/ciflow/inductor/145539 2025-01-24T05:01:21.1815799Z HEAD_SHA: d087145b9259b4cfbcb758dc0bca6a6e5d75d08f 2025-01-24T05:01:21.1816159Z WORKFLOW_RUN_ID: 12940917610 2025-01-24T05:01:21.1816435Z RUN_ATTEMPT: 1 2025-01-24T05:01:21.1816661Z JOB_ID: 36100811589 2025-01-24T05:01:21.1817127Z JOB_NAME: cuda12.4-py3.10-gcc9-sm86 / test (inductor_huggingface, 1, 1, linux.g5.4xlarge.nvidia.gpu) 2025-01-24T05:01:21.1817639Z ##[endgroup] 2025-01-24T05:01:21.1846380Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/tags/ciflow/inductor/145539 --head-sha d087145b9259b4cfbcb758dc0bca6a6e5d75d08f --workflow-id 12940917610 --run-attempt 1 --job-id 36100811589 --job-name 'cuda12.4-py3.10-gcc9-sm86 / test (inductor_huggingface, 1, 1, linux.g5.4xlarge.nvidia.gpu)' 2025-01-24T05:01:21.2175003Z ##[group]Run set -eux 2025-01-24T05:01:21.2175290Z set -eux 2025-01-24T05:01:21.2175521Z  2025-01-24T05:01:21.2175796Z # TODO (huydhn): Implement this part 2025-01-24T05:01:21.2176164Z echo "runners=[]" >> "${GITHUB_OUTPUT}" 2025-01-24T05:01:21.2184846Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T05:01:21.2185214Z env: 2025-01-24T05:01:21.2185439Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:21.2186377Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:21.2186915Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:21.2187387Z ##[endgroup] 2025-01-24T05:01:21.2214575Z + echo 'runners=[]' 2025-01-24T05:01:21.2245933Z ##[group]Run set -eux 2025-01-24T05:01:21.2246198Z set -eux 2025-01-24T05:01:21.2246424Z  2025-01-24T05:01:21.2246674Z # TODO (huydhn): Implement this part 2025-01-24T05:01:21.2247045Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-01-24T05:01:21.2255166Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T05:01:21.2255541Z env: 2025-01-24T05:01:21.2255760Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:21.2256081Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:21.2256606Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:21.2257070Z ##[endgroup] 2025-01-24T05:01:21.2282246Z + echo 'dependencies={}' 2025-01-24T05:01:21.2315002Z ##[group]Run set -eux 2025-01-24T05:01:21.2315283Z set -eux 2025-01-24T05:01:21.2315517Z  2025-01-24T05:01:21.2315785Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-01-24T05:01:21.2316207Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-01-24T05:01:21.2316670Z  # We don't want the job to fail if the directory doesn't exist 2025-01-24T05:01:21.2317057Z  exit 0 2025-01-24T05:01:21.2317287Z fi 2025-01-24T05:01:21.2317513Z  2025-01-24T05:01:21.2317757Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-01-24T05:01:21.2318414Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-01-24T05:01:21.2318942Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-01-24T05:01:21.2319367Z  --metadata "${BENCHMARK_METADATA}" \ 2025-01-24T05:01:21.2319734Z  --runners "${RUNNER_INFO}" \ 2025-01-24T05:01:21.2320077Z  --dependencies "${DEPENDENCIES}" \ 2025-01-24T05:01:21.2320403Z  --dry-run 2025-01-24T05:01:21.2320648Z else 2025-01-24T05:01:21.2321028Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-01-24T05:01:21.2321556Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-01-24T05:01:21.2321971Z  --metadata "${BENCHMARK_METADATA}" \ 2025-01-24T05:01:21.2322320Z  --runners "${RUNNER_INFO}" \ 2025-01-24T05:01:21.2322666Z  --dependencies "${DEPENDENCIES}" 2025-01-24T05:01:21.2322974Z fi 2025-01-24T05:01:21.2330934Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T05:01:21.2331295Z env: 2025-01-24T05:01:21.2331516Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:21.2331846Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:21.2332366Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:21.2332866Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-01-24T05:01:21.2333176Z DRY_RUN: false 2025-01-24T05:01:21.2334484Z BENCHMARK_METADATA: {"timestamp": 1737694881, "schema_version": "v3", "name": "cuda12.4-py3.10-gcc9-sm86 / test (inductor_huggingface, 1, 1, linux.g5.4xlarge.nvidia.gpu)", "repo": "pytorch/pytorch", "head_branch": "refs/tags/ciflow/inductor/145539", "head_sha": "d087145b9259b4cfbcb758dc0bca6a6e5d75d08f", "workflow_id": 12940917610, "run_attempt": 1, "job_id": 36100811589} 2025-01-24T05:01:21.2335833Z RUNNER_INFO: [] 2025-01-24T05:01:21.2336086Z DEPENDENCIES: {} 2025-01-24T05:01:21.2336333Z ##[endgroup] 2025-01-24T05:01:21.2362236Z + [[ ! -d test/test-reports ]] 2025-01-24T05:01:21.2362544Z + [[ false == \t\r\u\e ]] 2025-01-24T05:01:21.2364961Z + 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": 1737694881, "schema_version": "v3", "name": "cuda12.4-py3.10-gcc9-sm86 / test (inductor_huggingface, 1, 1, linux.g5.4xlarge.nvidia.gpu)", "repo": "pytorch/pytorch", "head_branch": "refs/tags/ciflow/inductor/145539", "head_sha": "d087145b9259b4cfbcb758dc0bca6a6e5d75d08f", "workflow_id": 12940917610, "run_attempt": 1, "job_id": 36100811589}' --runners '[]' --dependencies '{}' 2025-01-24T05:01:21.3937120Z INFO:root:Upload test/test-reports/inference_huggingface.json to s3://ossci-benchmarks/v3/pytorch/pytorch/12940917610/36100811589/inference_huggingface.json 2025-01-24T05:01:21.4351164Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-01-24T05:01:21.6377685Z INFO:root:Upload test/test-reports/inference_huggingface_graph_breaks.json to s3://ossci-benchmarks/v3/pytorch/pytorch/12940917610/36100811589/inference_huggingface_graph_breaks.json 2025-01-24T05:01:21.7214083Z INFO:root:Upload test/test-reports/training_huggingface.json to s3://ossci-benchmarks/v3/pytorch/pytorch/12940917610/36100811589/training_huggingface.json 2025-01-24T05:01:21.8539948Z INFO:root:Upload test/test-reports/training_huggingface_graph_breaks.json to s3://ossci-benchmarks/v3/pytorch/pytorch/12940917610/36100811589/training_huggingface_graph_breaks.json 2025-01-24T05:01:22.0647028Z ##[group]Run cat test/**/*_toprint.log || true 2025-01-24T05:01:22.0647427Z cat test/**/*_toprint.log || true 2025-01-24T05:01:22.0656133Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T05:01:22.0656502Z env: 2025-01-24T05:01:22.0656724Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:22.0657059Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:22.0657775Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:22.0658244Z ##[endgroup] 2025-01-24T05:01:22.0744954Z cat: 'test/**/*_toprint.log': No such file or directory 2025-01-24T05:01:22.0783124Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-01-24T05:01:22.0783476Z kill "$MONITOR_SCRIPT_PID" 2025-01-24T05:01:22.0791176Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T05:01:22.0791534Z env: 2025-01-24T05:01:22.0791759Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:22.0792088Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:22.0792701Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:22.0793172Z MONITOR_SCRIPT_PID: 54188 2025-01-24T05:01:22.0793450Z ##[endgroup] 2025-01-24T05:01:22.0930392Z Prepare all required actions 2025-01-24T05:01:22.0930805Z Getting action download info 2025-01-24T05:01:22.2151532Z Download action repository 'actions/upload-artifact@v4' (SHA:65c4c4a1ddee5b72f698fdd19549f0f0fb45cf08) 2025-01-24T05:01:22.7161920Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-01-24T05:01:22.7162287Z with: 2025-01-24T05:01:22.7162710Z file-suffix: test-inductor_huggingface-1-1-linux.g5.4xlarge.nvidia.gpu_36100811589 2025-01-24T05:01:22.7163209Z s3-bucket: gha-artifacts 2025-01-24T05:01:22.7163498Z env: 2025-01-24T05:01:22.7163733Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:22.7164083Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:22.7164629Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:22.7165112Z ##[endgroup] 2025-01-24T05:01:22.7204320Z ##[group]Run # Remove any previous test jsons if they exist 2025-01-24T05:01:22.7204799Z # Remove any previous test jsons if they exist 2025-01-24T05:01:22.7205211Z rm -f test-jsons-*.zip 2025-01-24T05:01:22.7205649Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-01-24T05:01:22.7215248Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T05:01:22.7215614Z env: 2025-01-24T05:01:22.7215834Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:22.7216164Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:22.7216683Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:22.7217321Z FILE_SUFFIX: test-inductor_huggingface-1-1-linux.g5.4xlarge.nvidia.gpu_36100811589 2025-01-24T05:01:22.7217783Z ##[endgroup] 2025-01-24T05:01:22.7411243Z adding: test/test-reports/inference_huggingface.json (deflated 99%) 2025-01-24T05:01:22.7414214Z adding: test/test-reports/inference_huggingface_graph_breaks.json (deflated 96%) 2025-01-24T05:01:22.7484061Z adding: test/test-reports/training_huggingface.json (deflated 99%) 2025-01-24T05:01:22.7618648Z adding: test/test-reports/training_huggingface_graph_breaks.json (deflated 99%) 2025-01-24T05:01:22.7648003Z ##[group]Run # Remove any previous test reports if they exist 2025-01-24T05:01:22.7648457Z # Remove any previous test reports if they exist 2025-01-24T05:01:22.7648833Z rm -f test-reports-*.zip 2025-01-24T05:01:22.7649298Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-01-24T05:01:22.7657345Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T05:01:22.7657704Z env: 2025-01-24T05:01:22.7657921Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:22.7658252Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:22.7658830Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:22.7659480Z FILE_SUFFIX: test-inductor_huggingface-1-1-linux.g5.4xlarge.nvidia.gpu_36100811589 2025-01-24T05:01:22.7659955Z ##[endgroup] 2025-01-24T05:01:22.7713410Z adding: test/test-reports/inference_huggingface.csv (deflated 70%) 2025-01-24T05:01:22.7714199Z adding: test/test-reports/inference_huggingface_graph_breaks.csv (deflated 85%) 2025-01-24T05:01:22.7714819Z adding: test/test-reports/inference_huggingface_graph_break_deduped.csv (deflated 63%) 2025-01-24T05:01:22.7715402Z adding: test/test-reports/training_huggingface.csv (deflated 68%) 2025-01-24T05:01:22.7722006Z adding: test/test-reports/training_huggingface_graph_breaks.csv (deflated 97%) 2025-01-24T05:01:22.7722828Z adding: test/test-reports/training_huggingface_graph_break_deduped.csv (deflated 72%) 2025-01-24T05:01:22.7776589Z ##[group]Run # Remove any previous usage logs if they exist 2025-01-24T05:01:22.7777043Z # Remove any previous usage logs if they exist 2025-01-24T05:01:22.7777402Z rm -f logs-*.zip 2025-01-24T05:01:22.7777862Z # this workflow is also run in bazel build test, but we dont generate usage reports for it 2025-01-24T05:01:22.7778582Z # so check to see if the file exists first 2025-01-24T05:01:22.7778951Z if [ -f 'usage_log.txt' ]; then 2025-01-24T05:01:22.7779333Z  zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' 2025-01-24T05:01:22.7779726Z fi 2025-01-24T05:01:22.7780097Z if find "test/test-reports" -name "*.log" 2>/dev/null | grep -q .; then 2025-01-24T05:01:22.7780633Z  zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' 2025-01-24T05:01:22.7781013Z fi 2025-01-24T05:01:22.7788980Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T05:01:22.7789385Z env: 2025-01-24T05:01:22.7789628Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:22.7789982Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:22.7790522Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:22.7791183Z FILE_SUFFIX: test-inductor_huggingface-1-1-linux.g5.4xlarge.nvidia.gpu_36100811589 2025-01-24T05:01:22.7791662Z ##[endgroup] 2025-01-24T05:01:22.7889599Z adding: usage_log.txt (deflated 96%) 2025-01-24T05:01:22.7938056Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-01-24T05:01:22.7938551Z # Remove any previous debugging artifacts if they exist 2025-01-24T05:01:22.7938940Z rm -f debug-*.zip 2025-01-24T05:01:22.7939242Z if [ -d 'test/debug' ]; then 2025-01-24T05:01:22.7939619Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-01-24T05:01:22.7939954Z fi 2025-01-24T05:01:22.7947673Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T05:01:22.7948035Z env: 2025-01-24T05:01:22.7948261Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:22.7948592Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:22.7949122Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:22.7949793Z FILE_SUFFIX: test-inductor_huggingface-1-1-linux.g5.4xlarge.nvidia.gpu_36100811589 2025-01-24T05:01:22.7950262Z ##[endgroup] 2025-01-24T05:01:22.8035825Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-01-24T05:01:22.8036169Z with: 2025-01-24T05:01:22.8036398Z s3-bucket: gha-artifacts 2025-01-24T05:01:22.8036724Z s3-prefix: pytorch/pytorch/12940917610/1/artifact 2025-01-24T05:01:22.8037080Z retention-days: 14 2025-01-24T05:01:22.8037343Z if-no-files-found: warn 2025-01-24T05:01:22.8037626Z path: test-jsons-*.zip 2025-01-24T05:01:22.8037891Z name: artifact 2025-01-24T05:01:22.8038134Z region: us-east-1 2025-01-24T05:01:22.8038372Z env: 2025-01-24T05:01:22.8047675Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:22.8048029Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:22.8048572Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:22.8049039Z ##[endgroup] 2025-01-24T05:01:23.1635562Z NOTE: s3-prefix specified, ignoring name parameter 2025-01-24T05:01:23.1636200Z With the provided path, there will be 1 file uploaded 2025-01-24T05:01:23.1636790Z Uploading to s3 prefix: pytorch/pytorch/12940917610/1/artifact 2025-01-24T05:01:23.1691671Z Starting upload of test-jsons-test-inductor_huggingface-1-1-linux.g5.4xlarge.nvidia.gpu_36100811589.zip 2025-01-24T05:01:23.2956699Z Finished upload of test-jsons-test-inductor_huggingface-1-1-linux.g5.4xlarge.nvidia.gpu_36100811589.zip 2025-01-24T05:01:23.3254824Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-01-24T05:01:23.3255346Z with: 2025-01-24T05:01:23.3255687Z s3-bucket: gha-artifacts 2025-01-24T05:01:23.3256193Z s3-prefix: pytorch/pytorch/12940917610/1/artifact 2025-01-24T05:01:23.3256761Z retention-days: 14 2025-01-24T05:01:23.3257189Z if-no-files-found: error 2025-01-24T05:01:23.3257640Z path: test-reports-*.zip 2025-01-24T05:01:23.3258062Z name: artifact 2025-01-24T05:01:23.3258431Z region: us-east-1 2025-01-24T05:01:23.3258845Z env: 2025-01-24T05:01:23.3259175Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:23.3260018Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:23.3260904Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:23.3261667Z ##[endgroup] 2025-01-24T05:01:23.6518664Z NOTE: s3-prefix specified, ignoring name parameter 2025-01-24T05:01:23.6519100Z With the provided path, there will be 1 file uploaded 2025-01-24T05:01:23.6519540Z Uploading to s3 prefix: pytorch/pytorch/12940917610/1/artifact 2025-01-24T05:01:23.6573886Z Starting upload of test-reports-test-inductor_huggingface-1-1-linux.g5.4xlarge.nvidia.gpu_36100811589.zip 2025-01-24T05:01:23.7641733Z Finished upload of test-reports-test-inductor_huggingface-1-1-linux.g5.4xlarge.nvidia.gpu_36100811589.zip 2025-01-24T05:01:23.7922267Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-01-24T05:01:23.7922602Z with: 2025-01-24T05:01:23.7922827Z s3-bucket: gha-artifacts 2025-01-24T05:01:23.7923159Z s3-prefix: pytorch/pytorch/12940917610/1/artifact 2025-01-24T05:01:23.7923524Z retention-days: 14 2025-01-24T05:01:23.7923790Z if-no-files-found: ignore 2025-01-24T05:01:23.7924076Z path: logs-*.zip 2025-01-24T05:01:23.7924308Z name: artifact 2025-01-24T05:01:23.7924546Z region: us-east-1 2025-01-24T05:01:23.7924779Z env: 2025-01-24T05:01:23.7925002Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:23.7925336Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:23.7925863Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:23.7926337Z ##[endgroup] 2025-01-24T05:01:24.1277768Z NOTE: s3-prefix specified, ignoring name parameter 2025-01-24T05:01:24.1278204Z With the provided path, there will be 1 file uploaded 2025-01-24T05:01:24.1278645Z Uploading to s3 prefix: pytorch/pytorch/12940917610/1/artifact 2025-01-24T05:01:24.1335150Z Starting upload of logs-test-inductor_huggingface-1-1-linux.g5.4xlarge.nvidia.gpu_36100811589.zip 2025-01-24T05:01:24.3403283Z Finished upload of logs-test-inductor_huggingface-1-1-linux.g5.4xlarge.nvidia.gpu_36100811589.zip 2025-01-24T05:01:24.3699594Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-01-24T05:01:24.3700058Z with: 2025-01-24T05:01:24.3700350Z s3-bucket: gha-artifacts 2025-01-24T05:01:24.3700800Z s3-prefix: pytorch/pytorch/12940917610/1/artifact 2025-01-24T05:01:24.3701263Z retention-days: 14 2025-01-24T05:01:24.3701568Z if-no-files-found: ignore 2025-01-24T05:01:24.3701846Z path: debug-*.zip 2025-01-24T05:01:24.3702080Z name: artifact 2025-01-24T05:01:24.3702319Z region: us-east-1 2025-01-24T05:01:24.3702584Z env: 2025-01-24T05:01:24.3702871Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:24.3703312Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:24.3704012Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:24.3704563Z ##[endgroup] 2025-01-24T05:01:24.6960300Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-01-24T05:01:24.7261961Z ##[group]Run # shellcheck disable=SC2156 2025-01-24T05:01:24.7262321Z # shellcheck disable=SC2156 2025-01-24T05:01:24.7263065Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-01-24T05:01:24.7272051Z shell: /usr/bin/bash -e {0} 2025-01-24T05:01:24.7272409Z env: 2025-01-24T05:01:24.7272632Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:24.7272973Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:24.7273505Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:24.7273970Z ##[endgroup] 2025-01-24T05:01:24.9914466Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-01-24T05:01:24.9914883Z with: 2025-01-24T05:01:24.9915089Z env: 2025-01-24T05:01:24.9915297Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:24.9915634Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:24.9916168Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:24.9916634Z ##[endgroup] 2025-01-24T05:01:24.9938272Z ##[group]Run set -eou pipefail 2025-01-24T05:01:24.9938589Z set -eou pipefail 2025-01-24T05:01:24.9938859Z  2025-01-24T05:01:24.9939264Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-01-24T05:01:24.9939703Z for _ in $(seq 1440); do 2025-01-24T05:01:24.9940022Z  # Break if no ssh session exists anymore 2025-01-24T05:01:24.9940357Z  if [ "$(who)" = "" ]; then 2025-01-24T05:01:24.9940645Z  break 2025-01-24T05:01:24.9940912Z  fi 2025-01-24T05:01:24.9941135Z  echo "." 2025-01-24T05:01:24.9941376Z  sleep 5 2025-01-24T05:01:24.9941611Z done 2025-01-24T05:01:24.9950062Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T05:01:24.9950420Z env: 2025-01-24T05:01:24.9950629Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:24.9950963Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:24.9951492Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:24.9951958Z ##[endgroup] 2025-01-24T05:01:24.9979107Z Holding runner for 2 hours until all ssh sessions have logged out 2025-01-24T05:01:25.0056491Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-01-24T05:01:25.0057022Z # ignore expansion of "docker ps -q" since it could be empty 2025-01-24T05:01:25.0057430Z # shellcheck disable=SC2046 2025-01-24T05:01:25.0057769Z docker stop $(docker ps -q) || true 2025-01-24T05:01:25.0058116Z # Prune all of the docker images 2025-01-24T05:01:25.0058436Z docker system prune -af 2025-01-24T05:01:25.0066441Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T05:01:25.0066807Z env: 2025-01-24T05:01:25.0067022Z GIT_DEFAULT_BRANCH: main 2025-01-24T05:01:25.0067343Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-01-24T05:01:25.0067871Z DOCKER_CONTAINER_ID: 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:25.0068349Z ##[endgroup] 2025-01-24T05:01:25.6566878Z 1504fe673d1c 2025-01-24T05:01:26.4443113Z Deleted Containers: 2025-01-24T05:01:26.4443523Z 1504fe673d1c5af9ef1ec84f5e1a2215805dd1b839487243375b51b3e14f7098 2025-01-24T05:01:26.4443836Z 2025-01-24T05:01:38.6667013Z Deleted Images: 2025-01-24T05:01:38.6667933Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks:bf84073365afe24d4dcffebc142d1c20de914163 2025-01-24T05:01:38.6669420Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.4-cudnn9-py3-gcc9-inductor-benchmarks@sha256:d0f845cae0a3de5dd5afa0b498a9a80232b7cbea0156b728d38495928b501826 2025-01-24T05:01:38.6670527Z deleted: sha256:942b58b1b376e2a34303ee663a1634a7db54685c9780b676bb7cc690ae4274b0 2025-01-24T05:01:38.6671123Z deleted: 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2025-01-24T05:01:39.2017857Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-01-24T05:01:39.2084788Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-01-24T05:01:39.2151600Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-01-24T05:01:39.2218707Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-01-24T05:01:39.2283886Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-01-24T05:01:39.2355047Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-01-24T05:01:39.2429179Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-01-24T05:01:39.2519763Z Entering 'third_party/pocketfft' 2025-01-24T05:01:39.2589662Z Entering 'third_party/protobuf' 2025-01-24T05:01:39.2661001Z Entering 'third_party/protobuf/third_party/benchmark' 2025-01-24T05:01:39.2728423Z Entering 'third_party/protobuf/third_party/googletest' 2025-01-24T05:01:39.2799693Z Entering 'third_party/psimd' 2025-01-24T05:01:39.2869484Z Entering 'third_party/pthreadpool' 2025-01-24T05:01:39.2939619Z Entering 'third_party/pybind11' 2025-01-24T05:01:39.3009132Z Entering 'third_party/python-peachpy' 2025-01-24T05:01:39.3079693Z Entering 'third_party/sleef' 2025-01-24T05:01:39.3149120Z Entering 'third_party/tensorpipe' 2025-01-24T05:01:39.3217607Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-01-24T05:01:39.3283791Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-01-24T05:01:39.3351069Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-01-24T05:01:39.3419389Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-01-24T05:01:39.3483374Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-01-24T05:01:39.3580987Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-01-24T05:01:39.3605594Z http.https://github.com/.extraheader 2025-01-24T05:01:39.3616749Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-01-24T05:01:39.3651208Z [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' || :" 2025-01-24T05:01:39.4009065Z Entering 'android/libs/fbjni' 2025-01-24T05:01:39.4054462Z http.https://github.com/.extraheader 2025-01-24T05:01:39.4102114Z Entering 'third_party/FP16' 2025-01-24T05:01:39.4148116Z http.https://github.com/.extraheader 2025-01-24T05:01:39.4191601Z Entering 'third_party/FXdiv' 2025-01-24T05:01:39.4236974Z http.https://github.com/.extraheader 2025-01-24T05:01:39.4281495Z Entering 'third_party/NNPACK' 2025-01-24T05:01:39.4326788Z http.https://github.com/.extraheader 2025-01-24T05:01:39.4371060Z Entering 'third_party/NVTX' 2025-01-24T05:01:39.4415447Z http.https://github.com/.extraheader 2025-01-24T05:01:39.4459949Z Entering 'third_party/VulkanMemoryAllocator' 2025-01-24T05:01:39.4503948Z http.https://github.com/.extraheader 2025-01-24T05:01:39.4548222Z Entering 'third_party/XNNPACK' 2025-01-24T05:01:39.4592287Z http.https://github.com/.extraheader 2025-01-24T05:01:39.4656864Z Entering 'third_party/benchmark' 2025-01-24T05:01:39.4700427Z http.https://github.com/.extraheader 2025-01-24T05:01:39.4746075Z Entering 'third_party/composable_kernel' 2025-01-24T05:01:39.4789666Z http.https://github.com/.extraheader 2025-01-24T05:01:39.4839772Z Entering 'third_party/cpp-httplib' 2025-01-24T05:01:39.4883731Z http.https://github.com/.extraheader 2025-01-24T05:01:39.4928248Z Entering 'third_party/cpuinfo' 2025-01-24T05:01:39.4972374Z http.https://github.com/.extraheader 2025-01-24T05:01:39.5022372Z Entering 'third_party/cudnn_frontend' 2025-01-24T05:01:39.5065768Z http.https://github.com/.extraheader 2025-01-24T05:01:39.5109799Z Entering 'third_party/cutlass' 2025-01-24T05:01:39.5155121Z http.https://github.com/.extraheader 2025-01-24T05:01:39.5208612Z Entering 'third_party/eigen' 2025-01-24T05:01:39.5254137Z http.https://github.com/.extraheader 2025-01-24T05:01:39.5300963Z Entering 'third_party/fbgemm' 2025-01-24T05:01:39.5347058Z http.https://github.com/.extraheader 2025-01-24T05:01:39.5390726Z Entering 'third_party/fbgemm/third_party/asmjit' 2025-01-24T05:01:39.5435604Z http.https://github.com/.extraheader 2025-01-24T05:01:39.5478629Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2025-01-24T05:01:39.5523516Z http.https://github.com/.extraheader 2025-01-24T05:01:39.5568224Z Entering 'third_party/fbgemm/third_party/cutlass' 2025-01-24T05:01:39.5614988Z http.https://github.com/.extraheader 2025-01-24T05:01:39.5666110Z Entering 'third_party/fbgemm/third_party/googletest' 2025-01-24T05:01:39.5714117Z http.https://github.com/.extraheader 2025-01-24T05:01:39.5758833Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2025-01-24T05:01:39.5802127Z http.https://github.com/.extraheader 2025-01-24T05:01:39.5848793Z Entering 'third_party/flatbuffers' 2025-01-24T05:01:39.5893714Z http.https://github.com/.extraheader 2025-01-24T05:01:39.5944974Z Entering 'third_party/fmt' 2025-01-24T05:01:39.5989343Z http.https://github.com/.extraheader 2025-01-24T05:01:39.6034789Z Entering 'third_party/gemmlowp/gemmlowp' 2025-01-24T05:01:39.6078852Z http.https://github.com/.extraheader 2025-01-24T05:01:39.6123869Z Entering 'third_party/gloo' 2025-01-24T05:01:39.6168475Z http.https://github.com/.extraheader 2025-01-24T05:01:39.6213346Z Entering 'third_party/googletest' 2025-01-24T05:01:39.6258216Z http.https://github.com/.extraheader 2025-01-24T05:01:39.6302756Z Entering 'third_party/ideep' 2025-01-24T05:01:39.6347873Z http.https://github.com/.extraheader 2025-01-24T05:01:39.6390436Z Entering 'third_party/ideep/mkl-dnn' 2025-01-24T05:01:39.6433407Z http.https://github.com/.extraheader 2025-01-24T05:01:39.6485790Z Entering 'third_party/ittapi' 2025-01-24T05:01:39.6531110Z http.https://github.com/.extraheader 2025-01-24T05:01:39.6575458Z Entering 'third_party/kineto' 2025-01-24T05:01:39.6621144Z http.https://github.com/.extraheader 2025-01-24T05:01:39.6664903Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-01-24T05:01:39.6713355Z http.https://github.com/.extraheader 2025-01-24T05:01:39.6756818Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-01-24T05:01:39.6800860Z http.https://github.com/.extraheader 2025-01-24T05:01:39.6847155Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-01-24T05:01:39.6891035Z http.https://github.com/.extraheader 2025-01-24T05:01:39.6936018Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-01-24T05:01:39.6979829Z http.https://github.com/.extraheader 2025-01-24T05:01:39.7025178Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-01-24T05:01:39.7068955Z http.https://github.com/.extraheader 2025-01-24T05:01:39.7111961Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-01-24T05:01:39.7156503Z http.https://github.com/.extraheader 2025-01-24T05:01:39.7205467Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-01-24T05:01:39.7251454Z http.https://github.com/.extraheader 2025-01-24T05:01:39.7296121Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-01-24T05:01:39.7342135Z http.https://github.com/.extraheader 2025-01-24T05:01:39.7385797Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-01-24T05:01:39.7431721Z http.https://github.com/.extraheader 2025-01-24T05:01:39.7477758Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-01-24T05:01:39.7522538Z http.https://github.com/.extraheader 2025-01-24T05:01:39.7571997Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-01-24T05:01:39.7615089Z http.https://github.com/.extraheader 2025-01-24T05:01:39.7658906Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-01-24T05:01:39.7702468Z http.https://github.com/.extraheader 2025-01-24T05:01:39.7749931Z Entering 'third_party/kleidiai' 2025-01-24T05:01:39.7800897Z http.https://github.com/.extraheader 2025-01-24T05:01:39.7846190Z Entering 'third_party/mimalloc' 2025-01-24T05:01:39.7890758Z http.https://github.com/.extraheader 2025-01-24T05:01:39.7935232Z Entering 'third_party/nccl/nccl' 2025-01-24T05:01:39.7979878Z http.https://github.com/.extraheader 2025-01-24T05:01:39.8024571Z Entering 'third_party/nlohmann' 2025-01-24T05:01:39.8069167Z http.https://github.com/.extraheader 2025-01-24T05:01:39.8114209Z Entering 'third_party/onnx' 2025-01-24T05:01:39.8158773Z http.https://github.com/.extraheader 2025-01-24T05:01:39.8216318Z Entering 'third_party/onnx/third_party/pybind11' 2025-01-24T05:01:39.8259879Z http.https://github.com/.extraheader 2025-01-24T05:01:39.8309100Z Entering 'third_party/opentelemetry-cpp' 2025-01-24T05:01:39.8352538Z http.https://github.com/.extraheader 2025-01-24T05:01:39.8400743Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-01-24T05:01:39.8443649Z http.https://github.com/.extraheader 2025-01-24T05:01:39.8488180Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-01-24T05:01:39.8531395Z http.https://github.com/.extraheader 2025-01-24T05:01:39.8574901Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-01-24T05:01:39.8618004Z http.https://github.com/.extraheader 2025-01-24T05:01:39.8661048Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-01-24T05:01:39.8704178Z http.https://github.com/.extraheader 2025-01-24T05:01:39.8752094Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-01-24T05:01:39.8794647Z http.https://github.com/.extraheader 2025-01-24T05:01:39.8838238Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-01-24T05:01:39.8882912Z http.https://github.com/.extraheader 2025-01-24T05:01:39.8926189Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-01-24T05:01:39.8973899Z http.https://github.com/.extraheader 2025-01-24T05:01:39.9022240Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-01-24T05:01:39.9065299Z http.https://github.com/.extraheader 2025-01-24T05:01:39.9115825Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-01-24T05:01:39.9158556Z http.https://github.com/.extraheader 2025-01-24T05:01:39.9204833Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-01-24T05:01:39.9251561Z http.https://github.com/.extraheader 2025-01-24T05:01:39.9315774Z Entering 'third_party/pocketfft' 2025-01-24T05:01:39.9359923Z http.https://github.com/.extraheader 2025-01-24T05:01:39.9403469Z Entering 'third_party/protobuf' 2025-01-24T05:01:39.9447908Z http.https://github.com/.extraheader 2025-01-24T05:01:39.9494048Z Entering 'third_party/protobuf/third_party/benchmark' 2025-01-24T05:01:39.9537514Z http.https://github.com/.extraheader 2025-01-24T05:01:39.9579808Z Entering 'third_party/protobuf/third_party/googletest' 2025-01-24T05:01:39.9623738Z http.https://github.com/.extraheader 2025-01-24T05:01:39.9671712Z Entering 'third_party/psimd' 2025-01-24T05:01:39.9716254Z http.https://github.com/.extraheader 2025-01-24T05:01:39.9759357Z Entering 'third_party/pthreadpool' 2025-01-24T05:01:39.9803289Z http.https://github.com/.extraheader 2025-01-24T05:01:39.9847616Z Entering 'third_party/pybind11' 2025-01-24T05:01:39.9891158Z http.https://github.com/.extraheader 2025-01-24T05:01:39.9936251Z Entering 'third_party/python-peachpy' 2025-01-24T05:01:39.9979166Z http.https://github.com/.extraheader 2025-01-24T05:01:40.0022752Z Entering 'third_party/sleef' 2025-01-24T05:01:40.0066437Z http.https://github.com/.extraheader 2025-01-24T05:01:40.0112418Z Entering 'third_party/tensorpipe' 2025-01-24T05:01:40.0156235Z http.https://github.com/.extraheader 2025-01-24T05:01:40.0199380Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-01-24T05:01:40.0242341Z http.https://github.com/.extraheader 2025-01-24T05:01:40.0286507Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-01-24T05:01:40.0329306Z http.https://github.com/.extraheader 2025-01-24T05:01:40.0371728Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-01-24T05:01:40.0414346Z http.https://github.com/.extraheader 2025-01-24T05:01:40.0456895Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-01-24T05:01:40.0500116Z http.https://github.com/.extraheader 2025-01-24T05:01:40.0542533Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-01-24T05:01:40.0591025Z http.https://github.com/.extraheader 2025-01-24T05:01:40.0761503Z A job completed hook has been configured by the self-hosted runner administrator 2025-01-24T05:01:40.0784625Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-01-24T05:01:40.0792453Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-01-24T05:01:40.0792834Z ##[endgroup] 2025-01-24T05:01:40.0890532Z [!ALERT!] Swap in detected! [!ALERT!] 2025-01-24T05:01:50.8515754Z [!ALERT!] Swap out detected [!ALERT!] 2025-01-24T05:02:08.0203854Z Cleaning up orphan processes