2025-09-07T07:27:02.3484382Z Current runner version: '2.328.0' 2025-09-07T07:27:02.3492272Z Runner name: 'i-091db0e6724c010ce' 2025-09-07T07:27:02.3493425Z Runner group name: 'default' 2025-09-07T07:27:02.3494531Z Machine name: 'ip-10-0-13-248' 2025-09-07T07:27:02.3498277Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:27:02.3501050Z Contents: read 2025-09-07T07:27:02.3501722Z Metadata: read 2025-09-07T07:27:02.3502324Z ##[endgroup] 2025-09-07T07:27:02.3505190Z Secret source: Actions 2025-09-07T07:27:02.3506057Z Prepare workflow directory 2025-09-07T07:27:02.4041333Z Prepare all required actions 2025-09-07T07:27:02.4082772Z Getting action download info 2025-09-07T07:27:02.7150644Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:27:04.6273241Z Download action repository 'pytorch/pytorch@main' (SHA:93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:27:17.1597068Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:27:17.4582427Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:27:17.7028431Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:27:17.8770029Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:27:18.1346628Z Getting action download info 2025-09-07T07:27:18.2871487Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:27:18.6938784Z Getting action download info 2025-09-07T07:27:18.8019055Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:27:18.9962241Z Getting action download info 2025-09-07T07:27:19.1167629Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:27:19.3392856Z Getting action download info 2025-09-07T07:27:19.5008750Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:27:19.5012615Z ##[group] Inputs 2025-09-07T07:27:19.5012971Z build-environment: linux-jammy-aarch64-py3.10 2025-09-07T07:27:19.5025741Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 1, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 2, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 3, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 4, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 5, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 6, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 7, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 8, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 9, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}]} 2025-09-07T07:27:19.5038979Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:27:19.5039813Z sync-tag: 2025-09-07T07:27:19.5040658Z timeout-minutes: 720 2025-09-07T07:27:19.5040886Z use-gha: 2025-09-07T07:27:19.5041394Z dashboard-tag: training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true 2025-09-07T07:27:19.5041966Z s3-bucket: gha-artifacts 2025-09-07T07:27:19.5042192Z aws-role-to-assume: 2025-09-07T07:27:19.5042761Z disable-monitor: false 2025-09-07T07:27:19.5043044Z monitor-log-interval: 15 2025-09-07T07:27:19.5043302Z monitor-data-collect-interval: 4 2025-09-07T07:27:19.5043574Z ##[endgroup] 2025-09-07T07:27:19.5044089Z Complete job name: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:27:19.6139704Z A job started hook has been configured by the self-hosted runner administrator 2025-09-07T07:27:19.6252107Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-09-07T07:27:19.6262559Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:27:19.6263321Z ##[endgroup] 2025-09-07T07:27:20.7650156Z Runner Type: linux.arm64.m7g.metal 2025-09-07T07:27:20.7650596Z Instance Type: m7g.metal 2025-09-07T07:27:20.7650818Z AMI Name: unknown 2025-09-07T07:27:20.7678520Z AMI ID: ami-022bbd2ccaf21691f 2025-09-07T07:27:25.8018145Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:27:25.8018563Z with: 2025-09-07T07:27:25.8019082Z github-secret: *** 2025-09-07T07:27:25.8019711Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:27:25.8020379Z activate-with-label: false 2025-09-07T07:27:25.8020608Z label: with-ssh 2025-09-07T07:27:25.8020808Z remove-existing-keys: true 2025-09-07T07:27:25.8021037Z fail-silently: true 2025-09-07T07:27:25.8021248Z env: 2025-09-07T07:27:25.8021419Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:25.8021651Z ##[endgroup] 2025-09-07T07:27:25.9069288Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:27:25.9071024Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:27:25.9218793Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:27:25.9219200Z with: 2025-09-07T07:27:25.9219376Z no-sudo: true 2025-09-07T07:27:25.9219570Z submodules: recursive 2025-09-07T07:27:25.9219790Z fetch-depth: 0 2025-09-07T07:27:25.9219972Z env: 2025-09-07T07:27:25.9220143Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:25.9220361Z ##[endgroup] 2025-09-07T07:27:25.9307863Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:27:25.9308720Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:27:25.9318491Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:27:25.9318826Z env: 2025-09-07T07:27:25.9319031Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:25.9319289Z ##[endgroup] 2025-09-07T07:27:25.9398314Z ##[group]Run # Use all available CPUs for fetching 2025-09-07T07:27:25.9398692Z # Use all available CPUs for fetching 2025-09-07T07:27:25.9398981Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:27:25.9399284Z git config --global fetch.parallel 0 2025-09-07T07:27:25.9399614Z git config --global submodule.fetchJobs 0 2025-09-07T07:27:25.9399892Z  2025-09-07T07:27:25.9400195Z # Clean workspace. The default checkout action should also do this, but 2025-09-07T07:27:25.9400597Z # do it here as well just in case 2025-09-07T07:27:25.9400866Z if [[ -d .git ]]; then 2025-09-07T07:27:25.9401111Z  if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:27:25.9401377Z  sudo git clean -ffdx 2025-09-07T07:27:25.9401607Z  else 2025-09-07T07:27:25.9401800Z  git clean -ffdx 2025-09-07T07:27:25.9402017Z  fi 2025-09-07T07:27:25.9402199Z fi 2025-09-07T07:27:25.9408167Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:27:25.9408657Z env: 2025-09-07T07:27:25.9409001Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:25.9409289Z NO_SUDO: true 2025-09-07T07:27:25.9409547Z ##[endgroup] 2025-09-07T07:27:25.9545287Z ##[group]Run actions/checkout@v4 2025-09-07T07:27:25.9545546Z with: 2025-09-07T07:27:25.9545755Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:27:25.9546031Z fetch-depth: 0 2025-09-07T07:27:25.9546226Z submodules: recursive 2025-09-07T07:27:25.9546441Z show-progress: false 2025-09-07T07:27:25.9546662Z repository: pytorch/pytorch 2025-09-07T07:27:25.9547029Z token: *** 2025-09-07T07:27:25.9547214Z ssh-strict: true 2025-09-07T07:27:25.9547402Z ssh-user: git 2025-09-07T07:27:25.9547922Z persist-credentials: true 2025-09-07T07:27:25.9548154Z clean: true 2025-09-07T07:27:25.9548363Z sparse-checkout-cone-mode: true 2025-09-07T07:27:25.9548606Z fetch-tags: false 2025-09-07T07:27:25.9548797Z lfs: false 2025-09-07T07:27:25.9548980Z set-safe-directory: true 2025-09-07T07:27:25.9549201Z env: 2025-09-07T07:27:25.9549382Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:25.9549597Z ##[endgroup] 2025-09-07T07:27:26.0568423Z Syncing repository: pytorch/pytorch 2025-09-07T07:27:26.0569763Z ##[group]Getting Git version info 2025-09-07T07:27:26.0570195Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:27:26.0570761Z [command]/usr/bin/git version 2025-09-07T07:27:26.0688273Z git version 2.47.1 2025-09-07T07:27:26.0725841Z ##[endgroup] 2025-09-07T07:27:26.0735280Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/8f45186e-be3b-4592-95f5-855c12ff2e96/.gitconfig' 2025-09-07T07:27:26.0754171Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/8f45186e-be3b-4592-95f5-855c12ff2e96' before making global git config changes 2025-09-07T07:27:26.0755075Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:27:26.0759659Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:27:26.0800746Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:27:26.0803573Z ##[group]Initializing the repository 2025-09-07T07:27:26.0807931Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:27:26.0856245Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:27:26.0856764Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:27:26.0857278Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:27:26.0857632Z hint: 2025-09-07T07:27:26.0857890Z hint: git config --global init.defaultBranch 2025-09-07T07:27:26.0858186Z hint: 2025-09-07T07:27:26.0858471Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:27:26.0858965Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:27:26.0859338Z hint: 2025-09-07T07:27:26.0859518Z hint: git branch -m 2025-09-07T07:27:26.0869552Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-09-07T07:27:26.0879369Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:27:26.0911474Z ##[endgroup] 2025-09-07T07:27:26.0911861Z ##[group]Disabling automatic garbage collection 2025-09-07T07:27:26.0916391Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:27:26.0940886Z ##[endgroup] 2025-09-07T07:27:26.0941233Z ##[group]Setting up auth 2025-09-07T07:27:26.0947979Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:27:26.0973870Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T07:27:26.1284188Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:27:26.1309204Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T07:27:26.1644807Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:27:26.1705461Z ##[endgroup] 2025-09-07T07:27:26.1705832Z ##[group]Fetching the repository 2025-09-07T07:27:26.1713025Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:28:06.5712737Z From https://github.com/pytorch/pytorch 2025-09-07T07:28:06.5713166Z * [new branch] 160583 -> origin/160583 2025-09-07T07:28:06.5713699Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:28:06.5714169Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:28:06.5714709Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:28:06.5715316Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:28:06.5716325Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:28:06.5718395Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:28:06.5719476Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:28:06.5720566Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:28:06.5721663Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:28:06.5723048Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:28:06.5723847Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:28:06.5724586Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:28:06.5725673Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:28:06.5726511Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:28:06.5728355Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:28:06.5728985Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:28:06.5729670Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:28:06.5730757Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:28:06.5731711Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:28:06.5732593Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:28:06.5733582Z * [new branch] addsimde -> 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tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T07:28:07.0635095Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T07:28:07.0635870Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T07:28:07.0636500Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T07:28:07.0637056Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T07:28:07.0637535Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T07:28:07.0638310Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T07:28:07.0638640Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T07:28:07.0639206Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T07:28:07.0639718Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T07:28:07.0640268Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T07:28:07.0640861Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T07:28:07.0641360Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T07:28:07.0641899Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T07:28:07.0642683Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T07:28:07.0643377Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T07:28:07.0644399Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T07:28:07.0644983Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T07:28:07.0645651Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T07:28:07.0646227Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T07:28:07.0647170Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:28:07.0647927Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:28:07.0648589Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:28:07.0649122Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:28:07.0649809Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:28:07.0650582Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:28:07.0651289Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:28:07.0651762Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:28:07.0652427Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:28:07.0653113Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:28:07.0653904Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:28:07.0654596Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:28:07.0655135Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:28:07.0655681Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:28:07.0656192Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:28:07.0656677Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:28:07.0657205Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:28:07.0657754Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:28:07.0658228Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:28:07.0658741Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:28:07.0659299Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:28:07.0659987Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:28:07.0660594Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:28:07.0661342Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:28:07.0661973Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:28:07.0662685Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:28:07.0663378Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:28:07.0663937Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:28:07.0664491Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:28:07.0665151Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:28:07.0665733Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:28:07.0666494Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:28:07.0667035Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:28:07.0667587Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:28:07.0668348Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:28:07.0668907Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:28:07.0669583Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:28:07.0670228Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:28:07.0670941Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:28:07.0671683Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:28:07.0672201Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:28:07.0672912Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:28:07.0673732Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:28:07.0674430Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:28:07.0675277Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:28:07.0675898Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:28:07.0676520Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:28:07.0677225Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:28:07.0677814Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:28:07.0678535Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:28:07.0679717Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:28:07.0680352Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:28:07.0680896Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:28:07.0681446Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:28:07.0682031Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:28:07.0682590Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:28:07.0683153Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:28:07.0683742Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:28:07.0684383Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:28:07.0684942Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:28:07.0685627Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:28:07.0686228Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:28:07.0687078Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:28:07.0687644Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:28:07.0688166Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:28:07.0688755Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:28:07.0689589Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:28:07.0690347Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:28:07.0699640Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:28:07.0699939Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:28:07.0700108Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:28:07.0700265Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:28:07.0700418Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:28:07.0700578Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:28:07.0700745Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:28:07.0700905Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:28:07.0701067Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:28:07.0701223Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:28:07.0701374Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:28:07.0701526Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:28:07.0701684Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:28:07.0701838Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:28:07.0701995Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:28:07.0702310Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:28:07.0702468Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:28:07.0702623Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:28:07.0702778Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:28:07.0702940Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:28:07.0703290Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:28:07.0704235Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:28:07.0704796Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:28:07.0705471Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:28:07.0706033Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:28:07.0706617Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:28:07.0707257Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:28:07.0707699Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:28:07.0708237Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:28:07.0708803Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:28:07.0709533Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:28:07.0710124Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:28:07.0710825Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:28:07.0711380Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:28:07.0711962Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:28:07.0712530Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:28:07.0713092Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:28:07.0713601Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:28:07.0714174Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:28:07.0714733Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:28:07.0715292Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:28:07.0716058Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:28:07.0716590Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:28:07.0717249Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:28:07.0717916Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:28:07.0718470Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:28:07.0719124Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:28:07.0719695Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:28:07.0720222Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:28:07.0720855Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:28:07.0721393Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:28:07.0721949Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:28:07.0722519Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:28:07.0723077Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:28:07.0723653Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:28:07.0724210Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:28:07.0724814Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:28:07.0725330Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:28:07.0725891Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:28:07.0726485Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:28:07.0727043Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:28:07.0727601Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:28:07.0728395Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:28:07.0729049Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:28:07.0729574Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:28:07.0730096Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:28:07.0730666Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:28:07.0731476Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:28:07.0732057Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:28:07.0732610Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:28:07.0733188Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:28:07.0733807Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:28:07.0734376Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:28:07.0735168Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:28:07.0735706Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:28:07.0736296Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:28:07.0736834Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:28:07.0737449Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:28:07.0738027Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:28:07.0738651Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:28:07.0739125Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:28:07.0739677Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:28:07.0740280Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:28:07.0740873Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:28:07.0741468Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:28:07.0742066Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:28:07.0742591Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:28:07.0743169Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:28:07.0743692Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:28:07.0744248Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:28:07.0744909Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:28:07.0745446Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:28:07.0746039Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:28:07.0746566Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:28:07.0747244Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:28:07.0747956Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:28:07.0748496Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:28:07.0749067Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:28:07.0749813Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:28:07.0750498Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:28:07.0750934Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:28:07.0751622Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:28:07.0752222Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:28:07.0752743Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:28:07.0753342Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:28:07.0753980Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:28:07.0754551Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:28:07.0755087Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:28:07.0755721Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:28:07.0756295Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:28:07.0756857Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:28:07.0757419Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:28:07.0757986Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:28:07.0758637Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:28:07.0759197Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:28:07.0759800Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:28:07.0760363Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:28:07.0760921Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:28:07.0761501Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:28:07.0762066Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:28:07.0762591Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:28:07.0763168Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:28:07.0763735Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:28:07.0764290Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:28:07.0764859Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:28:07.0765471Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:28:07.0766254Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:28:07.0766854Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:28:07.0767432Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:28:07.0768328Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:28:07.0769061Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:28:07.0769801Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:28:07.0770528Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:28:07.0771070Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:28:07.0771577Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:28:07.0772207Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:28:07.0772921Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:28:07.0773308Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:28:07.0773770Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:28:07.0774299Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:28:07.0774821Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:28:07.0775492Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:28:07.0776080Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:28:07.0776761Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:28:07.0777624Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:28:07.0778196Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:28:07.0779007Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:28:07.0779557Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:28:07.0780105Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:28:07.0780606Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:28:07.0781124Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:28:07.0781831Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:28:07.0782613Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:28:07.0783230Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:28:07.0783974Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:28:07.0784825Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:28:07.0785683Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:28:07.0786611Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:28:07.0787470Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:28:07.0788289Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:28:07.0789152Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:28:07.0790053Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:28:07.0790721Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:28:07.0791454Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:28:07.0791924Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:28:07.0792468Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:28:07.0792938Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:28:07.0793507Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:28:07.0794024Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:28:07.0794592Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:28:07.0795253Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:28:07.0795703Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:28:07.0796328Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:28:07.0797034Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:28:07.0797700Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:28:07.0798275Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:28:07.0798896Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:28:07.0799448Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:28:07.0800149Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:28:07.0800707Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:28:07.0801255Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:28:07.0801810Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:28:07.0802515Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:28:07.0803056Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:28:07.0803703Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:28:07.0804244Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:28:07.0804796Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:28:07.0805518Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:28:07.0806252Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:28:07.0806932Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:28:07.0807488Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:28:07.0808035Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:28:07.0808871Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:28:07.0809540Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:28:07.0810641Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:28:07.0811008Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:28:07.0811584Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:28:07.0812293Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:28:07.0813073Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:28:07.0813696Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:28:07.0814560Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:28:07.0815500Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:28:07.0816199Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:28:07.0816881Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:28:07.0817614Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:28:07.0818718Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:28:07.0819208Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:28:07.0820066Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:28:07.0820952Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:28:07.0821536Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:28:07.0822281Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:28:07.0823420Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:28:07.0823947Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:28:07.0824570Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:28:07.0825109Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:28:07.0825623Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:28:07.0826144Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:28:07.0826668Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:28:07.0827420Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:28:07.0827943Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:28:07.0828475Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:28:07.0829004Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:28:07.0829506Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:28:07.0830015Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:28:07.0830997Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:28:07.0831782Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:28:07.0832458Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:28:07.0833034Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:28:07.0833599Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:28:07.0834123Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:28:07.0834671Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:28:07.0835264Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:28:07.0835823Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:28:07.0836371Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:28:07.0836958Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:28:07.0837708Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:28:07.0838361Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:28:07.0838989Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:28:07.0839521Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:28:07.0840142Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:28:07.0840666Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:28:07.0841283Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:28:07.0841842Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:28:07.0842400Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:28:07.0842980Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:28:07.0843625Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:28:07.0844083Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:28:07.0844752Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:28:07.0845305Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:28:07.0846113Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:28:07.0846827Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:28:07.0847408Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:28:07.0847940Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:28:07.0848531Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:28:07.0849088Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:28:07.0849618Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:28:07.0850177Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:28:07.0850784Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:28:07.0851303Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:28:07.0851899Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:28:07.0852434Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:28:07.0853327Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:28:07.0853900Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:28:07.0857267Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:28:07.0857909Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:28:07.0858518Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:28:07.0859075Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:28:07.0859636Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:28:07.0860178Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:28:07.0860740Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:28:07.0861302Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:28:07.0861835Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:28:07.0862443Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:28:07.0863062Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:28:07.0863616Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:28:07.0864198Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:28:07.0864752Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:28:07.0865310Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:28:07.0865871Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:28:07.0866620Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:28:07.0867233Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:28:07.0867785Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:28:07.0868433Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:28:07.0868912Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:28:07.0869446Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:28:07.0869983Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:28:07.0870544Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:28:07.0871169Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:28:07.0872036Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:28:07.0872649Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:28:07.0873226Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:28:07.0873789Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:28:07.0874340Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:28:07.0874929Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:28:07.0875446Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:28:07.0876180Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:28:07.0876763Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:28:07.0877271Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:28:07.0877874Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:28:07.0878438Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:28:07.0878988Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:28:07.0879543Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:28:07.0880107Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:28:07.0880656Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:28:07.0881227Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:28:07.0881876Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:28:07.0882423Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:28:07.0882980Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:28:07.0883558Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:28:07.0884137Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:28:07.0884669Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:28:07.0885345Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:28:07.0885838Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:28:07.0886410Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:28:07.0887118Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:28:07.0887833Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:28:07.0888420Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:28:07.0888944Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:28:07.0889566Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:28:07.0890107Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:28:07.0890714Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:28:07.0891209Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:28:07.0891841Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:28:07.0892323Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:28:07.0893081Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:28:07.0893718Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:28:07.0894658Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:28:07.0895375Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:28:07.0896125Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:28:07.0896586Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:28:07.0897256Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:28:07.0897751Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:28:07.0898397Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:28:07.0899022Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:28:07.0899550Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:28:07.0900158Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:28:07.0900844Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:28:07.0901349Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:28:07.0901874Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:28:07.0902448Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:28:07.0903193Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:28:07.0903912Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:28:07.0904885Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:28:07.0905568Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:28:07.0906154Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:28:07.0906676Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:28:07.0907416Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:28:07.0908004Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:28:07.0908642Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:28:07.0909323Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:28:07.0910125Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:28:07.0911014Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:28:07.0911760Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:28:07.0912468Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:28:07.0913141Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:28:07.0913798Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:28:07.0914495Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:28:07.0915136Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:28:07.0915802Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:28:07.0916623Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:28:07.0917226Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:28:07.0917732Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:28:07.0918897Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:28:07.0919510Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:28:07.0920135Z * [new tag] flight_5 -> flight_5 2025-09-07T07:28:07.0920957Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:28:07.0921632Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:28:07.0922278Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:28:07.0922891Z * [new tag] forpull1 -> forpull1 2025-09-07T07:28:07.0923884Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:28:07.0924543Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:28:07.0925225Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:28:07.0925975Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:28:07.0926530Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:28:07.0927313Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:28:07.0928327Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:28:07.0929178Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:28:07.0930094Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:28:07.0931023Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:28:07.0931751Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:28:07.0932469Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:28:07.0933265Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:28:07.0933969Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:28:07.0934871Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:28:07.0935563Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:28:07.0936268Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:28:07.0937007Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:28:07.0937722Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:28:07.0938956Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:28:07.0939637Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:28:07.0940413Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:28:07.0941274Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:28:07.0941898Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:28:07.0942543Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:28:07.0943291Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:28:07.0944072Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:28:07.0944789Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:28:07.0945518Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:28:07.0946214Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:28:07.0946997Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:28:07.0947696Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:28:07.0948363Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:28:07.0949044Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:28:07.0950304Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:28:07.0951025Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:28:07.0951794Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:28:07.0952398Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:28:07.0953093Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:28:07.0953735Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:28:07.0954565Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:28:07.0955295Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:28:07.0956031Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:28:07.0956736Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:28:07.0957458Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:28:07.0958181Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:28:07.0958925Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:28:07.0959638Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:28:07.0960450Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:28:07.0960997Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:28:07.0961764Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:28:07.0962610Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:28:07.0963313Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:28:07.0964011Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:28:07.0964895Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:28:07.0965647Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:28:07.0966350Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:28:07.0967030Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:28:07.0967780Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:28:07.0968469Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:28:07.0969350Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:28:07.0970021Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:28:07.0970743Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:28:07.0971554Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:28:07.0973142Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:28:07.0973464Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:28:07.0973800Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:28:07.0974285Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:28:07.0974885Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:28:07.0975551Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:28:07.0976239Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:28:07.0977051Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:28:07.0977703Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:28:07.0978430Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:28:07.0979212Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:28:07.0979838Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:28:07.0980554Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:28:07.0981256Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:28:07.0981959Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:28:07.0982656Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:28:07.0983396Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:28:07.0984022Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:28:07.0984736Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:28:07.0985463Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:28:07.0986045Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:28:07.0986857Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:28:07.0987505Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:28:07.0988319Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:28:07.0989032Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:28:07.0989740Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:28:07.0990534Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:28:07.0991188Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:28:07.0992038Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:28:07.0992685Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:28:07.0993421Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:28:07.0994215Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:28:07.0994908Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:28:07.0995572Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:28:07.0996275Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:28:07.0997039Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:28:07.0997780Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:28:07.0998514Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:28:07.0999187Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:28:07.0999880Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:28:07.1000601Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:28:07.1001384Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:28:07.1002164Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:28:07.1002827Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:28:07.1004068Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:28:07.1004680Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:28:07.1005388Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:28:07.1006101Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:28:07.1006828Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:28:07.1007563Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:28:07.1008249Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:28:07.1008930Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:28:07.1009751Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:28:07.1010383Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:28:07.1011115Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:28:07.1011829Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:28:07.1012606Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:28:07.1013300Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:28:07.1014141Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:28:07.1014729Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:28:07.1015307Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:28:07.1016043Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:28:07.1016803Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:28:07.1017747Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:28:07.1018378Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:28:07.1018905Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:28:07.1019671Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:28:07.1020399Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:28:07.1021113Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:28:07.1021892Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:28:07.1022582Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:28:07.1023372Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:28:07.1024173Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:28:07.1024929Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:28:07.1025682Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:28:07.1026518Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:28:07.1027258Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:28:07.1028046Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:28:07.1028904Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:28:07.1029601Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:28:07.1030311Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:28:07.1031097Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:28:07.1032128Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:28:07.1032980Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:28:07.1033834Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:28:07.1034664Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:28:07.1035519Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:28:07.1036210Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:28:07.1036805Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:28:07.1037544Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:28:07.1038499Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:28:07.1039235Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:28:07.1039911Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:28:07.1040683Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:28:07.1041432Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:28:07.1042288Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:28:07.1043039Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:28:07.1043699Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:28:07.1044443Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:28:07.1045217Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:28:07.1045953Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:28:07.1046720Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:28:07.1047430Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:28:07.1048223Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:28:07.1048916Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:28:07.1049688Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:28:07.1050497Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:28:07.1051232Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:28:07.1051950Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:28:07.1052650Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:28:07.1053415Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:28:07.1054208Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:28:07.1055041Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:28:07.1055738Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:28:07.1056447Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:28:07.1057132Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:28:07.1058024Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:28:07.1058613Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:28:07.1059324Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:28:07.1060085Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:28:07.1060852Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:28:07.1061562Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:28:07.1062383Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:28:07.1063171Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:28:07.1063894Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:28:07.1064715Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:28:07.1065548Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:28:07.1066800Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:28:07.1067591Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:28:07.1068395Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:28:07.1069065Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:28:07.1069829Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:28:07.1070571Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:28:07.1071374Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:28:07.1072085Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:28:07.1072966Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:28:07.1073735Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:28:07.1074435Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:28:07.1075260Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:28:07.1076055Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:28:07.1076975Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:28:07.1077759Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:28:07.1078527Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:28:07.1079241Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:28:07.1079879Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:28:07.1080645Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:28:07.1081478Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:28:07.1082202Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:28:07.1083037Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:28:07.1083767Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:28:07.1084519Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:28:07.1085266Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:28:07.1086024Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:28:07.1086816Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:28:07.1087492Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:28:07.1088260Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:28:07.1089057Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:28:07.1089811Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:28:07.1090541Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:28:07.1091134Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:28:07.1092046Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:28:07.1092767Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:28:07.1093552Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:28:07.1094340Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:28:07.1095243Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:28:07.1095946Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:28:07.1096687Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:28:07.1097421Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:28:07.1098245Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:28:07.1099210Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:28:07.1099945Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:28:07.1100631Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:28:07.1101366Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:28:07.1102133Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:28:07.1102717Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:28:07.1103544Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:28:07.1104804Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:28:07.1105592Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:28:07.1106407Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:28:07.1107116Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:28:07.1107898Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:28:07.1108687Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:28:07.1109290Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:28:07.1110121Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:28:07.1110750Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:28:07.1111456Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:28:07.1112325Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:28:07.1113026Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:28:07.1113838Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:28:07.1114669Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:28:07.1115493Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:28:07.1116474Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:28:07.1117295Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:28:07.1117927Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:28:07.1118695Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:28:07.1119515Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:28:07.1120075Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:28:07.1120854Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:28:07.1121545Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:28:07.1122116Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:28:07.1122904Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:28:07.1123779Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:28:07.1124583Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:28:07.1125405Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:28:07.1126196Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:28:07.1126923Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:28:07.1127579Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:28:07.1128374Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:28:07.1129099Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:28:07.1129792Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:28:07.1130609Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:28:07.1131316Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:28:07.1132355Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:28:07.1133055Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:28:07.1133667Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:28:07.1134272Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:28:07.1134986Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:28:07.1135630Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:28:07.1136316Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:28:07.1137000Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:28:07.1137626Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:28:07.1138273Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:28:07.1138968Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:28:07.1139594Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:28:07.1140265Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:28:07.1140922Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:28:07.1141607Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:28:07.1142220Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:28:07.1142949Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:28:07.1143755Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:28:07.1144367Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:28:07.1145067Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:28:07.1145743Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:28:07.1146461Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:28:07.1147177Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:28:07.1147854Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:28:07.1148370Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:28:07.1149081Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:28:07.1149783Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:28:07.1150723Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:28:07.1151527Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:28:07.1152320Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:28:07.1152825Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:28:07.1153779Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:28:07.1154403Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:28:07.1154957Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:28:07.1155485Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:28:07.1156319Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:28:07.1157034Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:28:07.1157822Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:28:07.1158660Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:28:07.1159515Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:28:07.1160230Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:28:07.1160751Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:28:07.1161326Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:28:07.1162045Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:28:07.1162747Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:28:07.1163466Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:28:07.1164241Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:28:07.1164977Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:28:07.1165800Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:28:07.1166550Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:28:07.1167087Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:28:07.1167644Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:28:07.1168195Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:28:07.1168974Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:28:07.1169733Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:28:07.1170486Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:28:07.1171437Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:28:07.1171793Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:28:07.1172559Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:28:07.1173283Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:28:07.1173961Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:28:07.1174666Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:28:07.1175496Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:28:07.1176011Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:28:07.1176542Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:28:07.1177331Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:28:07.1177850Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:28:07.1178473Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:28:07.1179211Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:28:07.1179961Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:28:07.1180742Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:28:07.1181231Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:28:07.1181941Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:28:07.1182686Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:28:07.1183162Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:28:07.1184018Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:28:07.1184833Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:28:07.1185529Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:28:07.1186316Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:28:07.1187045Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:28:07.1187575Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:28:07.1188323Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:28:07.1188845Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:28:07.1189369Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:28:07.1190205Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:28:07.1190988Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:28:07.1191743Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:28:07.1192485Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:28:07.1193228Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:28:07.1193928Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:28:07.1194454Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:28:07.1195228Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:28:07.1196020Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:28:07.1196840Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:28:07.1197585Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:28:07.1198301Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:28:07.1199054Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:28:07.1199956Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:28:07.1200661Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:28:07.1201179Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:28:07.1201897Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:28:07.1202419Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:28:07.1203229Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:28:07.1204030Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:28:07.1204766Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:28:07.1205356Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:28:07.1205886Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:28:07.1206613Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:28:07.1207145Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:28:07.1207677Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:28:07.1208844Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:28:07.1209392Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:28:07.1210193Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:28:07.1210879Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:28:07.1211660Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:28:07.1212443Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:28:07.1213024Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:28:07.1213843Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:28:07.1214756Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:28:07.1215264Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:28:07.1215990Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:28:07.1216693Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:28:07.1217483Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:28:07.1218240Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:28:07.1219075Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:28:07.1219809Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:28:07.1220323Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:28:07.1221107Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:28:07.1221949Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:28:07.1222544Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:28:07.1223230Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:28:07.1223795Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:28:07.1224924Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:28:07.1225655Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:28:07.1226428Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:28:07.1227228Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:28:07.1228024Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:28:07.1228872Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:28:07.1229453Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:28:07.1230132Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:28:07.1230850Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:28:07.1231587Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:28:07.1232387Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:28:07.1233153Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:28:07.1233926Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:28:07.1234492Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:28:07.1235132Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:28:07.1235942Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:28:07.1236739Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:28:07.1237298Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:28:07.1238060Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:28:07.1238863Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:28:07.1239568Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:28:07.1240205Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:28:07.1240910Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:28:07.1241657Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:28:07.1242385Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:28:07.1242871Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:28:07.1243504Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:28:07.1244497Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:28:07.1245374Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:28:07.1245846Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:28:07.1246361Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:28:07.1246885Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:28:07.1247800Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:28:07.1248326Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:28:07.1248944Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:28:07.1249719Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:28:07.1250431Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:28:07.1251196Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:28:07.1251992Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:28:07.1252530Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:28:07.1253282Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:28:07.1254067Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:28:07.1257648Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:28:07.1258372Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:28:07.1259009Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:28:07.1259686Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:28:07.1260399Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:28:07.1261079Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:28:07.1261737Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:28:07.1262355Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:28:07.1263133Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:28:07.1263856Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:28:07.1264655Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:28:07.1265405Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:28:07.1266196Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:28:07.1266924Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T07:28:07.1267678Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T07:28:07.1268436Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T07:28:07.1269235Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T07:28:07.1269976Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T07:28:07.1270758Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T07:28:07.1271636Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T07:28:07.1272139Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T07:28:07.1273041Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T07:28:07.1273793Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T07:28:07.1274674Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T07:28:07.1275456Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T07:28:07.1276177Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T07:28:07.1276754Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T07:28:07.1277463Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T07:28:07.1278212Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T07:28:07.1278962Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T07:28:07.1279797Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T07:28:07.1280592Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T07:28:07.1281369Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T07:28:07.1282130Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T07:28:07.1282947Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T07:28:07.1283463Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T07:28:07.1284035Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T07:28:07.1284492Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T07:28:07.1285326Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T07:28:07.1286166Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T07:28:07.1286919Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T07:28:07.1287634Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T07:28:07.1288622Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T07:28:07.1289547Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T07:28:07.1290352Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:28:07.1291194Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:28:07.1291977Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:28:07.1292947Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:28:07.1293661Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:28:07.1294492Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:28:07.1295440Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:28:07.1296193Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:28:07.1297003Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:28:07.1297760Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:28:07.1298571Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:28:07.1299310Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:28:07.1300214Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:28:07.1300988Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:28:07.1301551Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:28:07.1302342Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:28:07.1303189Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:28:07.1304137Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:28:07.1304939Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:28:07.1305761Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:28:07.1306357Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:28:07.1307127Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:28:07.1307966Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:28:07.1308774Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:28:07.1309610Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:28:07.1310382Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:28:07.1311208Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:28:07.1311964Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:28:07.1312667Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:28:07.1313473Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:28:07.1314293Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:28:07.1314930Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:28:07.1888964Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:28:07.1912588Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:28:07.1916573Z ##[endgroup] 2025-09-07T07:28:07.1916838Z ##[group]Determining the checkout info 2025-09-07T07:28:07.1917638Z ##[endgroup] 2025-09-07T07:28:07.1921289Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:28:07.1953555Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:28:07.1980973Z ##[group]Checking out the ref 2025-09-07T07:28:07.1984685Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:28:08.2244682Z Updating files: 91% (17726/19405) 2025-09-07T07:28:08.2359285Z Updating files: 92% (17853/19405) 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You can look around, make experimental 2025-09-07T07:28:08.3687710Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:28:08.3688173Z state without impacting any branches by switching back to a branch. 2025-09-07T07:28:08.3688444Z 2025-09-07T07:28:08.3688624Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:28:08.3689059Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:28:08.3689309Z 2025-09-07T07:28:08.3689402Z git switch -c 2025-09-07T07:28:08.3689572Z 2025-09-07T07:28:08.3689665Z Or undo this operation with: 2025-09-07T07:28:08.3689826Z 2025-09-07T07:28:08.3689897Z git switch - 2025-09-07T07:28:08.3690006Z 2025-09-07T07:28:08.3690217Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:28:08.3690516Z 2025-09-07T07:28:08.3690670Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:28:08.3783433Z ##[endgroup] 2025-09-07T07:28:08.3783802Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:28:08.3789107Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:28:08.3840577Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:28:08.3867699Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:28:08.3894191Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:28:08.3917066Z ##[endgroup] 2025-09-07T07:28:08.3917456Z ##[group]Fetching submodules 2025-09-07T07:28:08.3921095Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:28:08.4211272Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:28:08.4492321Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:28:08.4494605Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:28:08.4497150Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:28:08.4499679Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:28:08.4513710Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:28:08.4516802Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:28:08.4519163Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:28:08.4533264Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:28:08.4536490Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:28:08.4539478Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:28:08.4542380Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:28:08.4557412Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:28:08.4560372Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:28:08.4563460Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:28:08.4578204Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:28:08.4581652Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:28:08.4586542Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:28:08.4589985Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:28:08.4604650Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:28:08.4608211Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:28:08.4611910Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:28:08.4626113Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:28:08.4629986Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:28:08.4633702Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:28:08.4637650Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:28:08.4652266Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:28:08.4656386Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:28:08.4660342Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:28:08.4675614Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:28:08.4679739Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:28:08.4683962Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:28:08.4688224Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:28:08.4703371Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:28:08.4709356Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:28:08.4714078Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:28:08.4729110Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:28:08.4733866Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:28:08.4762186Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:28:08.7100655Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:28:08.7101302Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:28:08.7102181Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:28:08.7102796Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:28:08.7103601Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:28:08.7262919Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:28:08.8442609Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:28:08.8443318Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:28:08.8443989Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:28:08.8444626Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:28:08.8445275Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:28:08.8514584Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:28:09.5526987Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:28:09.5527670Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:28:09.5528289Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:28:09.5528890Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:28:09.5529524Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:28:09.5530207Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:28:09.5530855Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:28:09.5531470Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:28:09.5532084Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:28:09.5532677Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:28:09.5533273Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:28:09.5533860Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:28:09.6107067Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:28:17.8323343Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:28:17.8324052Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:28:17.8324712Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:28:17.8325310Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:28:17.8325911Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:28:17.8326505Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:28:17.8327134Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:28:17.8327771Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:28:17.8328368Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:28:17.8329022Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:28:17.8329965Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:28:17.8470926Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:28:17.8590608Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:28:17.8683864Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:28:17.8906557Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:28:17.9622627Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:28:18.0081967Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:28:18.6146897Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:28:18.7520193Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:28:18.7540377Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:28:18.7565223Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:28:21.9581642Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:28:21.9796457Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:28:22.2622123Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:28:22.3076468Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:28:22.3947897Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:28:22.4346008Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:28:23.0212673Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:28:23.1521409Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:28:23.1542251Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:28:23.1544470Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:28:23.1546460Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:28:23.1548629Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:28:23.1550995Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:28:23.1553388Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:28:23.1555766Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:28:23.1581230Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:28:24.1479021Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:28:24.1479865Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:28:24.1480611Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:28:24.1481678Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:28:24.2479538Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:28:24.9164836Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:28:29.2427502Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:28:29.4672397Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:28:29.5550821Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:28:30.1019643Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:28:30.1422348Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:28:30.1534818Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:28:30.2468097Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:28:30.3102553Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:28:30.3120863Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:28:30.3122993Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:28:30.3148193Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:28:33.1448039Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:28:33.3559628Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:28:33.8905595Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:28:34.0057270Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:28:34.0350271Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:28:34.0690784Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:28:34.0917722Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:28:34.1314749Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:28:34.1439645Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:28:34.1455999Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:28:34.1479618Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:28:45.9862559Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:28:46.0049294Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:28:46.1026953Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:28:46.1044829Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:28:46.1047081Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:28:46.1049067Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:28:46.1075424Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:28:46.7055884Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:28:46.9408701Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:28:47.0142992Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:28:47.0160316Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:28:47.0162487Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:28:47.0164673Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:28:47.0167424Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:28:47.0169921Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:28:47.0172334Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:28:47.0174683Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:28:47.0177120Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:28:47.0203399Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:28:48.1799514Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:28:48.1800535Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:28:48.1801814Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:28:48.1802790Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:28:48.1803783Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:28:48.1804768Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:28:48.2799329Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:28:53.3561945Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:28:53.3726752Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:28:53.4041994Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:28:53.4167639Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:28:53.4183135Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:28:53.4208014Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:28:53.6866503Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:28:53.7037084Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:28:53.7399378Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:28:53.8284714Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:28:53.8438741Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:28:53.8766088Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:28:53.9283428Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:28:53.9683882Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:28:54.0031000Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:28:54.1168572Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:28:54.4680766Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:28:54.4713403Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T07:28:54.4739051Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T07:28:55.2662714Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:28:55.3267767Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:28:55.3286617Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:28:55.3288749Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:28:55.3290729Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:28:55.3292955Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:28:55.3295295Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:28:55.3297583Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 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2025-09-07T07:29:08.4587750Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-09-07T07:29:08.4859753Z Entering 'android/libs/fbjni' 2025-09-07T07:29:08.4908294Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:29:08.4924530Z Entering 'third_party/FP16' 2025-09-07T07:29:08.4976248Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:29:08.4992744Z Entering 'third_party/FXdiv' 2025-09-07T07:29:08.5040733Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:29:08.5056894Z Entering 'third_party/NNPACK' 2025-09-07T07:29:08.5105243Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T07:29:08.5121285Z Entering 'third_party/NVTX' 2025-09-07T07:29:08.5169653Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T07:29:08.5186534Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:29:08.5237954Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-09-07T07:29:08.5254708Z Entering 'third_party/XNNPACK' 2025-09-07T07:29:08.5303323Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-09-07T07:29:08.5328480Z Entering 'third_party/aiter' 2025-09-07T07:29:08.5376717Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T07:29:08.5393110Z Entering 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-09-07T07:29:08.5731619Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:29:08.5779180Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-09-07T07:29:08.5795577Z Entering 'third_party/cutlass' 2025-09-07T07:29:08.5845625Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-07T07:29:08.5868237Z Entering 'third_party/fbgemm' 2025-09-07T07:29:08.5916746Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-09-07T07:29:08.5933843Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:29:08.5981573Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-09-07T07:29:08.5997008Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:29:08.6045008Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-09-07T07:29:08.6065198Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:29:08.6112600Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-09-07T07:29:08.6127964Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:29:08.6175878Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T07:29:08.6196876Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:29:08.6245488Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T07:29:08.6261210Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:29:08.6309136Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T07:29:08.6324467Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:29:08.6371992Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T07:29:08.6390406Z Entering 'third_party/flash-attention' 2025-09-07T07:29:08.6440120Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T07:29:08.6456076Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:29:08.6503204Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-09-07T07:29:08.6522347Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:29:08.6570180Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-09-07T07:29:08.6592641Z Entering 'third_party/flatbuffers' 2025-09-07T07:29:08.6640980Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-09-07T07:29:08.6658929Z Entering 'third_party/fmt' 2025-09-07T07:29:08.6707505Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:29:08.6723620Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:29:08.6774102Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-09-07T07:29:08.6790464Z Entering 'third_party/gloo' 2025-09-07T07:29:08.6840200Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T07:29:08.6856940Z Entering 'third_party/googletest' 2025-09-07T07:29:08.6905754Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:29:08.6922031Z Entering 'third_party/ideep' 2025-09-07T07:29:08.6970372Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T07:29:08.6985571Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:29:08.7032224Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T07:29:08.7053188Z Entering 'third_party/ittapi' 2025-09-07T07:29:08.7101402Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T07:29:08.7117734Z Entering 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T07:29:08.7375483Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:29:08.7423311Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:29:08.7438237Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:29:08.7486764Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T07:29:08.7501270Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:29:08.7549630Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-09-07T07:29:08.7566862Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:29:08.7614627Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T07:29:08.7629665Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:29:08.7678738Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:29:08.7694060Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:29:08.7742618Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-09-07T07:29:08.7758980Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:29:08.7806962Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-09-07T07:29:08.7824240Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:29:08.7872123Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T07:29:08.7887400Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:29:08.7934218Z 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Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:29:08.8274064Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:29:08.8292861Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:29:08.8341463Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:29:08.8358011Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:29:08.8405077Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:29:08.8420689Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:29:08.8468934Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 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'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:29:09.5730795Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:29:09.5770372Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:29:09.5810329Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:29:09.5848553Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:29:09.5888030Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:29:09.5929586Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:29:09.5969412Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:29:09.6007832Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:29:09.6047661Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:29:09.6088218Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:29:09.6126562Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:29:09.6168288Z Entering 'third_party/kleidiai' 2025-09-07T07:29:09.6208523Z Entering 'third_party/mimalloc' 2025-09-07T07:29:09.6248990Z Entering 'third_party/nlohmann' 2025-09-07T07:29:09.6291858Z Entering 'third_party/onnx' 2025-09-07T07:29:09.6344074Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:29:09.6386578Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:29:09.6428499Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:29:09.6467778Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:29:09.6506633Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:29:09.6545513Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:29:09.6585208Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:29:09.6624382Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:29:09.6662658Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:29:09.6700236Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:29:09.6740890Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:29:09.6781348Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:29:09.6833427Z Entering 'third_party/pocketfft' 2025-09-07T07:29:09.6874223Z Entering 'third_party/protobuf' 2025-09-07T07:29:09.6917250Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:29:09.6957102Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:29:09.6999118Z Entering 'third_party/psimd' 2025-09-07T07:29:09.7039603Z Entering 'third_party/pthreadpool' 2025-09-07T07:29:09.7079017Z Entering 'third_party/pybind11' 2025-09-07T07:29:09.7119272Z Entering 'third_party/python-peachpy' 2025-09-07T07:29:09.7159695Z Entering 'third_party/sleef' 2025-09-07T07:29:09.7201222Z Entering 'third_party/tensorpipe' 2025-09-07T07:29:09.7241189Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:29:09.7279295Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:29:09.7317520Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:29:09.7356458Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:29:09.7394476Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:29:09.7449718Z ##[endgroup] 2025-09-07T07:29:09.7484151Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:29:09.7505792Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:29:09.7632513Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-09-07T07:29:09.7632812Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:29:09.7633070Z # Clean stale submodule dirs 2025-09-07T07:29:09.7633329Z if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:29:09.7633651Z  sudo git submodule foreach --recursive git clean -ffdx 2025-09-07T07:29:09.7633968Z else 2025-09-07T07:29:09.7634211Z  git submodule foreach --recursive git clean -ffdx 2025-09-07T07:29:09.7634505Z fi 2025-09-07T07:29:09.7645012Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:09.7645329Z env: 2025-09-07T07:29:09.7645495Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:09.7645703Z NO_SUDO: true 2025-09-07T07:29:09.7645880Z ##[endgroup] 2025-09-07T07:29:09.7939909Z Entering 'android/libs/fbjni' 2025-09-07T07:29:09.7971340Z Entering 'third_party/FP16' 2025-09-07T07:29:09.8001668Z Entering 'third_party/FXdiv' 2025-09-07T07:29:09.8031301Z Entering 'third_party/NNPACK' 2025-09-07T07:29:09.8065034Z Entering 'third_party/NVTX' 2025-09-07T07:29:09.8101259Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:29:09.8133083Z Entering 'third_party/XNNPACK' 2025-09-07T07:29:09.8238583Z Entering 'third_party/aiter' 2025-09-07T07:29:09.8277838Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:29:09.8370755Z Entering 'third_party/benchmark' 2025-09-07T07:29:09.8402436Z Entering 'third_party/composable_kernel' 2025-09-07T07:29:09.8504386Z Entering 'third_party/cpp-httplib' 2025-09-07T07:29:09.8537124Z Entering 'third_party/cpuinfo' 2025-09-07T07:29:09.8571694Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:29:09.8604920Z Entering 'third_party/cutlass' 2025-09-07T07:29:09.8690016Z Entering 'third_party/fbgemm' 2025-09-07T07:29:09.8743769Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:29:09.8773586Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:29:09.8865752Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:29:09.8898448Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:29:09.8981613Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:29:09.9012015Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:29:09.9039500Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:29:09.9080059Z Entering 'third_party/flash-attention' 2025-09-07T07:29:09.9116636Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:29:09.9200542Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:29:09.9276921Z Entering 'third_party/flatbuffers' 2025-09-07T07:29:09.9339542Z Entering 'third_party/fmt' 2025-09-07T07:29:09.9371387Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:29:09.9402558Z Entering 'third_party/gloo' 2025-09-07T07:29:09.9434484Z Entering 'third_party/googletest' 2025-09-07T07:29:09.9466979Z Entering 'third_party/ideep' 2025-09-07T07:29:09.9495412Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:29:09.9569818Z Entering 'third_party/ittapi' 2025-09-07T07:29:09.9602250Z Entering 'third_party/kineto' 2025-09-07T07:29:09.9634649Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:29:09.9666682Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:29:09.9707413Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:29:09.9736915Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:29:09.9766888Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:29:09.9794209Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:29:09.9823835Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:29:09.9853205Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:29:09.9884302Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:29:09.9920481Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:29:09.9951544Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:29:09.9981620Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:29:10.0013741Z Entering 'third_party/kleidiai' 2025-09-07T07:29:10.0048334Z Entering 'third_party/mimalloc' 2025-09-07T07:29:10.0081216Z Entering 'third_party/nlohmann' 2025-09-07T07:29:10.0122777Z Entering 'third_party/onnx' 2025-09-07T07:29:10.0389889Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:29:10.0424483Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:29:10.0473800Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:29:10.0503205Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:29:10.0534161Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:29:10.0562070Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:29:10.0600420Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:29:10.0629917Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:29:10.0658879Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:29:10.0687771Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:29:10.0730241Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:29:10.0762941Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:29:10.0973679Z Entering 'third_party/pocketfft' 2025-09-07T07:29:10.1002728Z Entering 'third_party/protobuf' 2025-09-07T07:29:10.1069353Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:29:10.1098531Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:29:10.1132336Z Entering 'third_party/psimd' 2025-09-07T07:29:10.1161764Z Entering 'third_party/pthreadpool' 2025-09-07T07:29:10.1191287Z Entering 'third_party/pybind11' 2025-09-07T07:29:10.1224160Z Entering 'third_party/python-peachpy' 2025-09-07T07:29:10.1254901Z Entering 'third_party/sleef' 2025-09-07T07:29:10.1287253Z Entering 'third_party/tensorpipe' 2025-09-07T07:29:10.1319563Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:29:10.1349571Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:29:10.1378804Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:29:10.1410862Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:29:10.1438528Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:29:10.1589783Z Prepare all required actions 2025-09-07T07:29:10.1590330Z Getting action download info 2025-09-07T07:29:10.3245800Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:29:10.3246062Z env: 2025-09-07T07:29:10.3246232Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:10.3246435Z ##[endgroup] 2025-09-07T07:29:10.3281225Z ##[group]Run set -euo pipefail 2025-09-07T07:29:10.3281511Z set -euo pipefail 2025-09-07T07:29:10.3281752Z function get_ec2_metadata() { 2025-09-07T07:29:10.3282063Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:29:10.3282603Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:29:10.3283076Z  category=$1 2025-09-07T07:29:10.3283375Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:29:10.3283941Z  runner_name_str=i-091db0e6724c010ce 2025-09-07T07:29:10.3284256Z  if [[ -f /.inarc ]]; then 2025-09-07T07:29:10.3284547Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:29:10.3284868Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:29:10.3285267Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:29:10.3285620Z  else 2025-09-07T07:29:10.3286356Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-09-07T07:29:10.3287132Z  fi 2025-09-07T07:29:10.3287294Z } 2025-09-07T07:29:10.3287507Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:29:10.3287866Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:29:10.3288278Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:29:10.3288622Z echo "system info $(uname -a)" 2025-09-07T07:29:10.3296021Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:10.3296329Z env: 2025-09-07T07:29:10.3296495Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:10.3296695Z ##[endgroup] 2025-09-07T07:29:10.3425992Z ami-id: ami-022bbd2ccaf21691f 2025-09-07T07:29:10.3516751Z instance-id: i-091db0e6724c010ce 2025-09-07T07:29:10.3605102Z instance-type: m7g.metal 2025-09-07T07:29:10.3615404Z system info Linux ip-10-0-13-248.ec2.internal 6.1.141-155.222.amzn2023.aarch64 #1 SMP Tue Jun 17 10:29:19 UTC 2025 aarch64 aarch64 aarch64 GNU/Linux 2025-09-07T07:29:10.3650408Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:29:10.3651215Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:29:10.3657783Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:10.3658110Z env: 2025-09-07T07:29:10.3658277Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:10.3658483Z ##[endgroup] 2025-09-07T07:29:10.3704678Z ##[group]Run if systemctl is-active --quiet docker; then 2025-09-07T07:29:10.3705053Z if systemctl is-active --quiet docker; then 2025-09-07T07:29:10.3705375Z  echo "Docker daemon is running..."; 2025-09-07T07:29:10.3705639Z else 2025-09-07T07:29:10.3705929Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-09-07T07:29:10.3706274Z fi 2025-09-07T07:29:10.3712080Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:10.3712395Z env: 2025-09-07T07:29:10.3712562Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:10.3712769Z ##[endgroup] 2025-09-07T07:29:10.3782610Z Docker daemon is running... 2025-09-07T07:29:10.3819021Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:29:10.3819409Z with: 2025-09-07T07:29:10.3819633Z shell: bash 2025-09-07T07:29:10.3820006Z timeout_minutes: 5 2025-09-07T07:29:10.3820299Z max_attempts: 3 2025-09-07T07:29:10.3820551Z retry_wait_seconds: 30 2025-09-07T07:29:10.3822590Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-09-07T07:29:10.3824729Z polling_interval_seconds: 1 2025-09-07T07:29:10.3825003Z warning_on_retry: true 2025-09-07T07:29:10.3825374Z continue_on_error: false 2025-09-07T07:29:10.3825672Z env: 2025-09-07T07:29:10.3825864Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:10.3826128Z AWS_RETRY_MODE: standard 2025-09-07T07:29:10.3826421Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:29:10.3826673Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:29:10.3826926Z ##[endgroup] 2025-09-07T07:29:11.3817473Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:29:11.3818060Z Configure a credential helper to remove this warning. See 2025-09-07T07:29:11.3818618Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:29:11.3819095Z 2025-09-07T07:29:11.3819258Z Login Succeeded 2025-09-07T07:29:11.4572224Z Command completed after 1 attempt(s). 2025-09-07T07:29:11.4625541Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:29:11.4626027Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:29:11.4626556Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:29:11.4633566Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:11.4634312Z env: 2025-09-07T07:29:11.4634529Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:11.4634754Z ##[endgroup] 2025-09-07T07:29:11.4719662Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:29:11.4720137Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:29:11.4720494Z # shellcheck disable=SC2046 2025-09-07T07:29:11.4720770Z docker stop $(docker ps -q) || true 2025-09-07T07:29:11.4721060Z # Prune all of the docker images 2025-09-07T07:29:11.4721324Z docker system prune -af 2025-09-07T07:29:11.4727430Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:11.4727738Z env: 2025-09-07T07:29:11.4727904Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:11.4728110Z ##[endgroup] 2025-09-07T07:29:11.5078070Z "docker stop" requires at least 1 argument. 2025-09-07T07:29:11.5078376Z See 'docker stop --help'. 2025-09-07T07:29:11.5078529Z 2025-09-07T07:29:11.5078681Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-09-07T07:29:11.5078914Z 2025-09-07T07:29:11.5079003Z Stop one or more running containers 2025-09-07T07:29:11.5214496Z Total reclaimed space: 0B 2025-09-07T07:29:11.5243919Z ##[group]Run set +e 2025-09-07T07:29:11.5244151Z set +e 2025-09-07T07:29:11.5244338Z set -x 2025-09-07T07:29:11.5244512Z  2025-09-07T07:29:11.5244707Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:29:11.5245197Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:29:11.5245851Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:29:11.5246295Z # one is returned at random 2025-09-07T07:29:11.5246626Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:29:11.5246948Z  2025-09-07T07:29:11.5247132Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:29:11.5247715Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:29:11.5248252Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:29:11.5248629Z  2025-09-07T07:29:11.5248810Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:29:11.5249180Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:29:11.5249513Z  exit 1 2025-09-07T07:29:11.5249695Z  fi 2025-09-07T07:29:11.5249881Z fi 2025-09-07T07:29:11.5250085Z  2025-09-07T07:29:11.5250293Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:29:11.5250598Z  # Clean up any old records first 2025-09-07T07:29:11.5250894Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:29:11.5251160Z fi 2025-09-07T07:29:11.5251501Z  2025-09-07T07:29:11.5251759Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:29:11.5252085Z cat /etc/hosts 2025-09-07T07:29:11.5258689Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:11.5258998Z env: 2025-09-07T07:29:11.5259168Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:11.5259386Z ##[endgroup] 2025-09-07T07:29:11.5281059Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:29:11.5285821Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:29:11.5286520Z ++ tail -n1 2025-09-07T07:29:11.5721094Z + RESOLVED_IP=18.160.10.76 2025-09-07T07:29:11.5721375Z + '[' -z 18.160.10.76 ']' 2025-09-07T07:29:11.5721617Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:29:11.5735839Z + echo '18.160.10.76 download.pytorch.org' 2025-09-07T07:29:11.5736211Z + sudo tee -a /etc/hosts 2025-09-07T07:29:11.8320933Z 18.160.10.76 download.pytorch.org 2025-09-07T07:29:11.8336515Z + cat /etc/hosts 2025-09-07T07:29:11.8344710Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-09-07T07:29:11.8349648Z ::1 localhost6 localhost6.localdomain6 2025-09-07T07:29:11.8349967Z 18.160.10.76 download.pytorch.org 2025-09-07T07:29:11.8497234Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:29:11.8497719Z with: 2025-09-07T07:29:11.8498493Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:11.8499355Z use-custom-docker-registry: true 2025-09-07T07:29:11.8499611Z docker-build-dir: .ci/docker 2025-09-07T07:29:11.8499856Z docker-build-script: ./build.sh 2025-09-07T07:29:11.8500100Z working-directory: . 2025-09-07T07:29:11.8500393Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:11.8500723Z force-push: false 2025-09-07T07:29:11.8500897Z env: 2025-09-07T07:29:11.8501081Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:11.8501293Z ##[endgroup] 2025-09-07T07:29:11.8518006Z ##[group]Run set -ex 2025-09-07T07:29:11.8518258Z set -ex 2025-09-07T07:29:11.8518436Z  2025-09-07T07:29:11.8518799Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:29:11.8519371Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:29:11.8519848Z # job could then download the pre-built image as usual 2025-09-07T07:29:11.8520438Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:29:11.8520986Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:11.8521253Z else 2025-09-07T07:29:11.8521463Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:11.8521836Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:11.8522181Z  2025-09-07T07:29:11.8522650Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:29:11.8523189Z  exit 0 2025-09-07T07:29:11.8523361Z fi 2025-09-07T07:29:11.8523526Z  2025-09-07T07:29:11.8523808Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:29:11.8524323Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:29:11.8524772Z  # use it as it is, but first let's extract the tag 2025-09-07T07:29:11.8525180Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:29:11.8525611Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:11.8526025Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:11.8526616Z else 2025-09-07T07:29:11.8526836Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:29:11.8527155Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:29:11.8527493Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:29:11.8527772Z  fi 2025-09-07T07:29:11.8528147Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:29:11.8528661Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:11.8529206Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:11.8529802Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:11.8530158Z fi 2025-09-07T07:29:11.8538923Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:11.8539236Z env: 2025-09-07T07:29:11.8539425Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:11.8539642Z REPO_NAME: pytorch 2025-09-07T07:29:11.8540588Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:11.8541430Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:29:11.8541662Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:29:11.8541980Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:11.8542314Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:29:11.8542551Z CUSTOM_TAG_PREFIX: 2025-09-07T07:29:11.8542738Z ##[endgroup] 2025-09-07T07:29:11.8565397Z + [[ -d .ci/docker ]] 2025-09-07T07:29:11.8565633Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:29:11.8565862Z + [[ true == \t\r\u\e ]] 2025-09-07T07:29:11.8566073Z + echo skip=false 2025-09-07T07:29:11.8568051Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-09-07T07:29:11.8574614Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:11.8575425Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:29:11.8652020Z + DOCKER_TAG=pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:11.8652968Z + echo docker-tag=pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:11.8654213Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:11.8674686Z ##[group]Run set +e 2025-09-07T07:29:11.8674922Z set +e 2025-09-07T07:29:11.8675115Z set -x 2025-09-07T07:29:11.8675286Z  2025-09-07T07:29:11.8675445Z login() { 2025-09-07T07:29:11.8675854Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:29:11.8676288Z } 2025-09-07T07:29:11.8676448Z  2025-09-07T07:29:11.8676607Z retry () { 2025-09-07T07:29:11.8676828Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:29:11.8677084Z } 2025-09-07T07:29:11.8677244Z  2025-09-07T07:29:11.8677428Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:29:11.8677673Z  2025-09-07T07:29:11.8677847Z START_TIME=$(date +%s) 2025-09-07T07:29:11.8678087Z # Wait up to 120 minutes 2025-09-07T07:29:11.8678384Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:29:11.8678795Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:29:11.8679422Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:29:11.8679718Z  exit 0 2025-09-07T07:29:11.8679900Z  fi 2025-09-07T07:29:11.8680067Z  2025-09-07T07:29:11.8680390Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:29:11.8680954Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:29:11.8681517Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:29:11.8681956Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:29:11.8682286Z  # It's a Docker build job, let's build the image 2025-09-07T07:29:11.8682571Z  break 2025-09-07T07:29:11.8682753Z  else 2025-09-07T07:29:11.8683034Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:29:11.8683379Z  sleep 300 2025-09-07T07:29:11.8683572Z  fi 2025-09-07T07:29:11.8683739Z done 2025-09-07T07:29:11.8683901Z  2025-09-07T07:29:11.8684345Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:29:11.8684840Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:29:11.8685275Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:29:11.8685659Z  # if we're on the base branch then use the parent commit 2025-09-07T07:29:11.8685996Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:29:11.8686249Z else 2025-09-07T07:29:11.8686518Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:29:11.8686917Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:29:11.8687214Z fi 2025-09-07T07:29:11.8687373Z  2025-09-07T07:29:11.8687554Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:29:11.8687871Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:11.8688140Z  2025-09-07T07:29:11.8688535Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:29:11.8688994Z  exit 0 2025-09-07T07:29:11.8689170Z fi 2025-09-07T07:29:11.8689331Z  2025-09-07T07:29:11.8689582Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:29:11.8690157Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:29:11.8690646Z  exit 1 2025-09-07T07:29:11.8690820Z fi 2025-09-07T07:29:11.8690979Z  2025-09-07T07:29:11.8691274Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:29:11.8691834Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:29:11.8692340Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:29:11.8692922Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:29:11.8693579Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:29:11.8694017Z fi 2025-09-07T07:29:11.8694181Z  2025-09-07T07:29:11.8694396Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:11.8700118Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:11.8700425Z env: 2025-09-07T07:29:11.8700588Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:11.8700809Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:29:11.8701087Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:29:11.8701952Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:11.8703212Z DOCKER_TAG: pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:11.8703867Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:11.8704185Z DOCKER_PUSH: 2025-09-07T07:29:11.8704361Z ##[endgroup] 2025-09-07T07:29:11.8725750Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:11.8726117Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:11.8728304Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:29:11.8729414Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:12.3273181Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:29:12.3273704Z Configure a credential helper to remove this warning. See 2025-09-07T07:29:12.3274218Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:29:12.3274552Z 2025-09-07T07:29:12.3275546Z Login Succeeded 2025-09-07T07:29:12.3294019Z ++ date +%s 2025-09-07T07:29:12.3303322Z + START_TIME=1757230152 2025-09-07T07:29:12.3305836Z ++ date +%s 2025-09-07T07:29:12.3313876Z + [[ 1757222952 -lt 1757230152 ]] 2025-09-07T07:29:12.3314742Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:12.5626101Z { 2025-09-07T07:29:12.5626286Z "schemaVersion": 2, 2025-09-07T07:29:12.5626631Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:29:12.5626992Z "config": { 2025-09-07T07:29:12.5627268Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:29:12.5627592Z "size": 30319, 2025-09-07T07:29:12.5627988Z "digest": 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"sha256:8a28267fa33261af473c2c4f617903a0c7af7cf2203014da2f37b5dd58aac207" 2025-09-07T07:29:12.5753055Z }, 2025-09-07T07:29:12.5753197Z { 2025-09-07T07:29:12.5753456Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:12.5753800Z "size": 125, 2025-09-07T07:29:12.5754241Z "digest": "sha256:89735be27bd4dc00abc5df9a6483a79fe2dd2df2e86d6fa7db0fc871b1a6df57" 2025-09-07T07:29:12.5754635Z } 2025-09-07T07:29:12.5754771Z ] 2025-09-07T07:29:12.5754912Z } 2025-09-07T07:29:12.5778712Z ##[group]Run set -eux 2025-09-07T07:29:12.5778933Z set -eux 2025-09-07T07:29:12.5779289Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:29:12.5780276Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-09-07T07:29:12.5787932Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:12.5788247Z env: 2025-09-07T07:29:12.5788416Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:12.5788619Z ##[endgroup] 2025-09-07T07:29:12.5812983Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:29:12.5813599Z + jq --raw-output .SecretString 2025-09-07T07:29:12.5814376Z + jq -r .docker_hub_readonly_token 2025-09-07T07:29:12.5815345Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:29:13.0881952Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:29:13.0882485Z Configure a credential helper to remove this warning. See 2025-09-07T07:29:13.0882978Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:29:13.0883315Z 2025-09-07T07:29:13.0885549Z Login Succeeded 2025-09-07T07:29:13.0970692Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:29:13.0971057Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:29:13.0971567Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:29:13.0978267Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:13.0978591Z env: 2025-09-07T07:29:13.0978759Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:13.0979551Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:13.0980359Z ##[endgroup] 2025-09-07T07:29:13.1004995Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:13.1044379Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:29:13.1044790Z with: 2025-09-07T07:29:13.1045541Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:13.1046454Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:13.1046766Z env: 2025-09-07T07:29:13.1046931Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:13.1047136Z ##[endgroup] 2025-09-07T07:29:13.1060209Z ##[group]Run set -x 2025-09-07T07:29:13.1060426Z set -x 2025-09-07T07:29:13.1060603Z set +e 2025-09-07T07:29:13.1060774Z  2025-09-07T07:29:13.1060930Z login() { 2025-09-07T07:29:13.1061331Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:29:13.1061760Z } 2025-09-07T07:29:13.1061919Z  2025-09-07T07:29:13.1062106Z retry () { 2025-09-07T07:29:13.1062328Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:29:13.1062581Z } 2025-09-07T07:29:13.1062740Z  2025-09-07T07:29:13.1062926Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:29:13.1063171Z  2025-09-07T07:29:13.1063572Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:29:13.1064142Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:29:13.1064449Z  2025-09-07T07:29:13.1064609Z set -e 2025-09-07T07:29:13.1064888Z # ignore output since only exit code is used for conditional 2025-09-07T07:29:13.1065302Z # only pull docker image if it's not available locally 2025-09-07T07:29:13.1065762Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:29:13.1066189Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:29:13.1066454Z fi 2025-09-07T07:29:13.1072002Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:13.1072320Z env: 2025-09-07T07:29:13.1072487Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:13.1073268Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:13.1074163Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:13.1074478Z ##[endgroup] 2025-09-07T07:29:13.1095370Z + set +e 2025-09-07T07:29:13.1095767Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:13.1096151Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:13.1098248Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:29:13.1099378Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:13.5619198Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:29:13.5619715Z Configure a credential helper to remove this warning. See 2025-09-07T07:29:13.5620200Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:29:13.5620533Z 2025-09-07T07:29:13.5620757Z Login Succeeded 2025-09-07T07:29:13.5644206Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:13.5645136Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:29:13.7427894Z + IMAGE_SIZE=16908.71542263031 2025-09-07T07:29:13.7428213Z + echo 'Compressed size of image in MB: 16908.71542263031' 2025-09-07T07:29:13.7428517Z + set -e 2025-09-07T07:29:13.7428729Z Compressed size of image in MB: 16908.71542263031 2025-09-07T07:29:13.7429901Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:13.7546139Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:13.7547562Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:13.9475072Z pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:29:13.9476054Z 8bbfefac75f4: Pulling fs layer 2025-09-07T07:29:13.9476301Z 1034e845500b: Pulling fs layer 2025-09-07T07:29:13.9476532Z 7108634f1291: Pulling fs layer 2025-09-07T07:29:13.9476752Z 9f402ac333db: Pulling fs layer 2025-09-07T07:29:13.9476982Z b2a4ed722058: Pulling fs layer 2025-09-07T07:29:13.9477234Z d96fa71aa7d0: Pulling fs layer 2025-09-07T07:29:13.9477465Z ab8dd3557a1f: Pulling fs layer 2025-09-07T07:29:13.9477704Z fd99b0dcee89: Pulling fs layer 2025-09-07T07:29:13.9477934Z f7b4a101181d: Pulling fs layer 2025-09-07T07:29:13.9478158Z aae584ec1580: Pulling fs layer 2025-09-07T07:29:13.9478386Z 4906db9d12bf: Pulling fs layer 2025-09-07T07:29:13.9478618Z cc22251711f7: Pulling fs layer 2025-09-07T07:29:13.9478841Z 7022473e3fe9: Pulling fs layer 2025-09-07T07:29:13.9479061Z d96fa71aa7d0: Waiting 2025-09-07T07:29:13.9479265Z 44dfb511788f: Pulling fs layer 2025-09-07T07:29:13.9479497Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:29:13.9479726Z 20ee7a042819: Pulling fs layer 2025-09-07T07:29:13.9479953Z 1acbc52cc958: Pulling fs layer 2025-09-07T07:29:13.9480170Z fd99b0dcee89: Waiting 2025-09-07T07:29:13.9480358Z f7b4a101181d: Waiting 2025-09-07T07:29:13.9480557Z 56a48ab89702: Pulling fs layer 2025-09-07T07:29:13.9480774Z aae584ec1580: Waiting 2025-09-07T07:29:13.9480981Z 3f2a38e8e42c: Pulling fs layer 2025-09-07T07:29:13.9481205Z 67060a7526c7: Pulling fs layer 2025-09-07T07:29:13.9481423Z ab8dd3557a1f: Waiting 2025-09-07T07:29:13.9491366Z 4906db9d12bf: Waiting 2025-09-07T07:29:13.9491600Z 5044c8e66435: Pulling fs layer 2025-09-07T07:29:13.9491822Z cc22251711f7: Waiting 2025-09-07T07:29:13.9492018Z e8e3b05e8ebf: Pulling fs layer 2025-09-07T07:29:13.9492270Z f1f79ed6e837: Pulling fs layer 2025-09-07T07:29:13.9492485Z 7022473e3fe9: Waiting 2025-09-07T07:29:13.9492683Z e9247cb8405c: Pulling fs layer 2025-09-07T07:29:13.9492956Z 9c69a27176e5: Pulling fs layer 2025-09-07T07:29:13.9493164Z 44dfb511788f: Waiting 2025-09-07T07:29:13.9493361Z e7fb26a8f333: Pulling fs layer 2025-09-07T07:29:13.9493590Z afdfb47fc1ed: Pulling fs layer 2025-09-07T07:29:13.9493807Z 4f4fb700ef54: Waiting 2025-09-07T07:29:13.9494005Z 488b5af903b5: Pulling fs layer 2025-09-07T07:29:13.9494226Z 36e30b1c2982: Pulling fs layer 2025-09-07T07:29:13.9494438Z 3f2a38e8e42c: Waiting 2025-09-07T07:29:13.9494628Z 9f402ac333db: Waiting 2025-09-07T07:29:13.9494828Z 05ee2b3d005a: Pulling fs layer 2025-09-07T07:29:13.9495043Z 67060a7526c7: Waiting 2025-09-07T07:29:13.9495225Z 20ee7a042819: Waiting 2025-09-07T07:29:13.9495423Z 6ffeb6d1993e: Pulling fs layer 2025-09-07T07:29:13.9495633Z 5044c8e66435: Waiting 2025-09-07T07:29:13.9495833Z afeef50b4508: Pulling fs layer 2025-09-07T07:29:13.9496052Z e8e3b05e8ebf: Waiting 2025-09-07T07:29:13.9496510Z 1acbc52cc958: Waiting 2025-09-07T07:29:13.9496692Z 56a48ab89702: Waiting 2025-09-07T07:29:13.9496878Z f1f79ed6e837: Waiting 2025-09-07T07:29:13.9497063Z e9247cb8405c: Waiting 2025-09-07T07:29:13.9497247Z b2a4ed722058: Waiting 2025-09-07T07:29:13.9497440Z 3fcf510a2172: Pulling fs layer 2025-09-07T07:29:13.9497658Z afdfb47fc1ed: Waiting 2025-09-07T07:29:13.9497847Z 488b5af903b5: Waiting 2025-09-07T07:29:13.9498044Z d1b4c895928e: Pulling fs layer 2025-09-07T07:29:13.9498256Z e7fb26a8f333: Waiting 2025-09-07T07:29:13.9498442Z 05ee2b3d005a: Waiting 2025-09-07T07:29:13.9498627Z 36e30b1c2982: Waiting 2025-09-07T07:29:13.9499005Z 69ec6a4b91e8: Pulling fs layer 2025-09-07T07:29:13.9499240Z 3fcf510a2172: Waiting 2025-09-07T07:29:13.9499438Z 102375337d73: Pulling fs layer 2025-09-07T07:29:13.9499652Z afeef50b4508: Waiting 2025-09-07T07:29:13.9499838Z d1b4c895928e: Waiting 2025-09-07T07:29:13.9500032Z 4accd97ef2e2: Pulling fs layer 2025-09-07T07:29:13.9500262Z 9ee269fa5570: Pulling fs layer 2025-09-07T07:29:13.9500481Z 69ec6a4b91e8: Waiting 2025-09-07T07:29:13.9500680Z d193fbc9ee81: Pulling fs layer 2025-09-07T07:29:13.9500892Z 4accd97ef2e2: Waiting 2025-09-07T07:29:13.9501091Z 99a2462c8c29: Pulling fs layer 2025-09-07T07:29:13.9501303Z 9ee269fa5570: Waiting 2025-09-07T07:29:13.9501495Z fe1294e18ed0: Pulling fs layer 2025-09-07T07:29:13.9501710Z d193fbc9ee81: Waiting 2025-09-07T07:29:13.9501896Z 99a2462c8c29: Waiting 2025-09-07T07:29:13.9502090Z f379f1cd3010: Pulling fs layer 2025-09-07T07:29:13.9502310Z 6ae93e16ed4e: Pulling fs layer 2025-09-07T07:29:13.9502524Z fe1294e18ed0: Waiting 2025-09-07T07:29:13.9502727Z f995c3109bd8: Pulling fs layer 2025-09-07T07:29:13.9502937Z f379f1cd3010: Waiting 2025-09-07T07:29:13.9503121Z 6ae93e16ed4e: Waiting 2025-09-07T07:29:13.9503317Z 058384795bac: Pulling fs layer 2025-09-07T07:29:13.9503528Z f995c3109bd8: Waiting 2025-09-07T07:29:13.9503723Z 3e762f827dd1: Pulling fs layer 2025-09-07T07:29:13.9503930Z 058384795bac: Waiting 2025-09-07T07:29:13.9504118Z 3e762f827dd1: Waiting 2025-09-07T07:29:13.9504321Z 6acfbf2cdc17: Pulling fs layer 2025-09-07T07:29:13.9504551Z 1e43a43b4f06: Pulling fs layer 2025-09-07T07:29:13.9504769Z 968c538d5104: Pulling fs layer 2025-09-07T07:29:13.9504994Z 575807ea3b5f: Pulling fs layer 2025-09-07T07:29:13.9505208Z 6acfbf2cdc17: Waiting 2025-09-07T07:29:13.9505409Z 6a61bbb32004: Pulling fs layer 2025-09-07T07:29:13.9505617Z 968c538d5104: Waiting 2025-09-07T07:29:13.9505816Z f88dbb5c90de: Pulling fs layer 2025-09-07T07:29:13.9506031Z 1e43a43b4f06: Waiting 2025-09-07T07:29:13.9506226Z 08443826e2c5: Pulling fs layer 2025-09-07T07:29:13.9506435Z 575807ea3b5f: Waiting 2025-09-07T07:29:13.9506637Z 923b78b30294: Pulling fs layer 2025-09-07T07:29:13.9506846Z 6a61bbb32004: Waiting 2025-09-07T07:29:13.9507043Z 0751aba37e5a: Pulling fs layer 2025-09-07T07:29:13.9507264Z fbe315c5491d: Pulling fs layer 2025-09-07T07:29:13.9507476Z 923b78b30294: Waiting 2025-09-07T07:29:13.9507659Z 08443826e2c5: Waiting 2025-09-07T07:29:13.9507855Z af69784d4cfc: Pulling fs layer 2025-09-07T07:29:13.9508072Z 0751aba37e5a: Waiting 2025-09-07T07:29:13.9508273Z 91e4deab4f89: Pulling fs layer 2025-09-07T07:29:13.9508492Z af69784d4cfc: Waiting 2025-09-07T07:29:13.9508693Z c1d56a01ea40: Pulling fs layer 2025-09-07T07:29:13.9508917Z 9ad931d990d4: Pulling fs layer 2025-09-07T07:29:13.9509132Z 91e4deab4f89: Waiting 2025-09-07T07:29:13.9509335Z df5b3d079e9e: Pulling fs layer 2025-09-07T07:29:13.9509558Z 24f5a79527e3: Pulling fs layer 2025-09-07T07:29:13.9509764Z 9ad931d990d4: Waiting 2025-09-07T07:29:13.9509951Z c1d56a01ea40: Waiting 2025-09-07T07:29:13.9510150Z 4166cbf927c3: Pulling fs layer 2025-09-07T07:29:13.9510368Z df5b3d079e9e: Waiting 2025-09-07T07:29:13.9510564Z d243494d377d: Pulling fs layer 2025-09-07T07:29:13.9510777Z 24f5a79527e3: Waiting 2025-09-07T07:29:13.9510971Z 8a28267fa332: Pulling fs layer 2025-09-07T07:29:13.9511184Z d243494d377d: Waiting 2025-09-07T07:29:13.9511376Z 89735be27bd4: Pulling fs layer 2025-09-07T07:29:13.9511587Z 8a28267fa332: Waiting 2025-09-07T07:29:13.9511931Z 89735be27bd4: Waiting 2025-09-07T07:29:14.0430762Z 1034e845500b: Verifying Checksum 2025-09-07T07:29:14.0431018Z 1034e845500b: Download complete 2025-09-07T07:29:14.1158746Z 9f402ac333db: Verifying Checksum 2025-09-07T07:29:14.1159037Z 9f402ac333db: Download complete 2025-09-07T07:29:14.1969539Z b2a4ed722058: Verifying Checksum 2025-09-07T07:29:14.1969803Z b2a4ed722058: Download complete 2025-09-07T07:29:14.2776223Z 8bbfefac75f4: Verifying Checksum 2025-09-07T07:29:14.2776490Z 8bbfefac75f4: Download complete 2025-09-07T07:29:14.2793636Z d96fa71aa7d0: Verifying Checksum 2025-09-07T07:29:14.2794177Z d96fa71aa7d0: Download complete 2025-09-07T07:29:14.3552637Z ab8dd3557a1f: Verifying Checksum 2025-09-07T07:29:14.3552902Z ab8dd3557a1f: Download complete 2025-09-07T07:29:14.3565438Z fd99b0dcee89: Download complete 2025-09-07T07:29:14.4176361Z aae584ec1580: Download complete 2025-09-07T07:29:14.4203135Z f7b4a101181d: Verifying Checksum 2025-09-07T07:29:14.4203395Z f7b4a101181d: Download complete 2025-09-07T07:29:14.4853727Z cc22251711f7: Verifying Checksum 2025-09-07T07:29:14.4854048Z cc22251711f7: Download complete 2025-09-07T07:29:14.4884059Z 4906db9d12bf: Verifying Checksum 2025-09-07T07:29:14.4884321Z 4906db9d12bf: Download complete 2025-09-07T07:29:14.5834194Z 7022473e3fe9: Verifying Checksum 2025-09-07T07:29:14.5834514Z 7022473e3fe9: Download complete 2025-09-07T07:29:14.5897768Z 4f4fb700ef54: Download complete 2025-09-07T07:29:14.6639258Z 20ee7a042819: Verifying Checksum 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308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:33:51.0413882Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:33:51.0414764Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:33:51.0424718Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:51.0425025Z env: 2025-09-07T07:33:51.0425202Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:51.0425409Z ##[endgroup] 2025-09-07T07:33:51.0507405Z Prepare all required actions 2025-09-07T07:33:51.0558723Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T07:33:51.0559005Z with: 2025-09-07T07:33:51.0559509Z github-token: *** 2025-09-07T07:33:51.0559699Z env: 2025-09-07T07:33:51.0560154Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:51.0560362Z ##[endgroup] 2025-09-07T07:33:51.0704828Z ##[group]Run set -eux 2025-09-07T07:33:51.0705040Z set -eux 2025-09-07T07:33:51.0705408Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T07:33:51.0711223Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:51.0711537Z env: 2025-09-07T07:33:51.0711706Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:51.0712064Z GITHUB_TOKEN: *** 2025-09-07T07:33:51.0712249Z ##[endgroup] 2025-09-07T07:33:51.0734009Z + python3 .github/scripts/get_workflow_job_id.py 17525321311 i-091db0e6724c010ce 2025-09-07T07:33:52.2235711Z Setting output job-id=49775354804 2025-09-07T07:33:52.2236379Z Setting output job-name=linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:33:52.2357321Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:33:52.2358035Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:33:52.2358851Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T07:33:52.2359572Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:33:52.2366332Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:52.2366636Z env: 2025-09-07T07:33:52.2366805Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:52.2367012Z JOB_ID: 49775354804 2025-09-07T07:33:52.2367495Z JOB_NAME: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:33:52.2368070Z WORKFLOW_NAME: inductor-perf-nightly-aarch64 2025-09-07T07:33:52.2368385Z WORKFLOW_RUN_ID: 17525321311 2025-09-07T07:33:52.2368613Z MONITOR_LOG_INTERVAL: 15 2025-09-07T07:33:52.2368846Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T07:33:52.2369081Z ##[endgroup] 2025-09-07T07:33:52.8478477Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:33:53.1600651Z Collecting psutil==5.9.8 2025-09-07T07:33:53.1758615Z Downloading psutil-5.9.8.tar.gz (503 kB) 2025-09-07T07:33:53.3898435Z Installing build dependencies: started 2025-09-07T07:33:56.0366126Z Installing build dependencies: finished with status 'done' 2025-09-07T07:33:56.0392260Z Getting requirements to build wheel: started 2025-09-07T07:33:56.4407714Z Getting requirements to build wheel: finished with status 'done' 2025-09-07T07:33:56.4417492Z Preparing metadata (pyproject.toml): started 2025-09-07T07:33:57.0177785Z Preparing metadata (pyproject.toml): finished with status 'done' 2025-09-07T07:33:57.0850491Z Collecting dataclasses_json==0.6.7 2025-09-07T07:33:57.0886757Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T07:33:57.1972832Z Collecting nvidia-ml-py==11.525.84 2025-09-07T07:33:57.2020329Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T07:33:57.3321829Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T07:33:57.3356859Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T07:33:57.5584498Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T07:33:57.5618678Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T07:33:57.7465434Z Collecting packaging>=17.0 2025-09-07T07:33:57.7500327Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T07:33:57.9278982Z Collecting typing-extensions>=3.7.4 2025-09-07T07:33:57.9314509Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T07:33:58.0666996Z Collecting mypy-extensions>=0.3.0 2025-09-07T07:33:58.0701112Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T07:33:58.1246124Z Building wheels for collected packages: psutil 2025-09-07T07:33:58.1252214Z Building wheel for psutil (pyproject.toml): started 2025-09-07T07:33:58.3571442Z Building wheel for psutil (pyproject.toml): finished with status 'error' 2025-09-07T07:33:58.3572671Z ERROR: Command errored out with exit status 1: 2025-09-07T07:33:58.3573329Z command: /usr/bin/python3 /usr/lib/python3.9/site-packages/pip/_vendor/pep517/in_process/_in_process.py build_wheel /tmp/tmp8ygncldv 2025-09-07T07:33:58.3574091Z cwd: /tmp/pip-install-0k8rod2_/psutil_c9eaf3d2fb914f8b931f7ac6b3229cd0 2025-09-07T07:33:58.3574477Z Complete output (59 lines): 2025-09-07T07:33:58.3575168Z /tmp/pip-build-env-4k3h9q9q/overlay/lib/python3.9/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. 2025-09-07T07:33:58.3575873Z !! 2025-09-07T07:33:58.3576021Z 2025-09-07T07:33:58.3576212Z ******************************************************************************** 2025-09-07T07:33:58.3577004Z Please consider removing the following classifiers in favor of a SPDX license expression: 2025-09-07T07:33:58.3577459Z 2025-09-07T07:33:58.3577685Z License :: OSI Approved :: BSD License 2025-09-07T07:33:58.3577941Z 2025-09-07T07:33:58.3578349Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-09-07T07:33:58.3578848Z ******************************************************************************** 2025-09-07T07:33:58.3579110Z 2025-09-07T07:33:58.3579254Z !! 2025-09-07T07:33:58.3579432Z self._finalize_license_expression() 2025-09-07T07:33:58.3579686Z running bdist_wheel 2025-09-07T07:33:58.3579881Z running build 2025-09-07T07:33:58.3580065Z running build_py 2025-09-07T07:33:58.3580317Z creating build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:58.3580763Z copying psutil/_pswindows.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:58.3581280Z copying psutil/_pssunos.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:58.3581783Z copying psutil/_psposix.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:58.3582275Z copying psutil/_psosx.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:58.3582753Z copying psutil/_pslinux.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:58.3583241Z copying psutil/_psbsd.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:58.3583719Z copying psutil/_psaix.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:58.3584210Z copying psutil/_compat.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:58.3584690Z copying psutil/_common.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:58.3585168Z copying psutil/__init__.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:58.3585619Z creating build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3586125Z copying psutil/tests/test_windows.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3586732Z copying psutil/tests/test_unicode.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3587357Z copying psutil/tests/test_testutils.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3587971Z copying psutil/tests/test_system.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3588565Z copying psutil/tests/test_sunos.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3589175Z copying psutil/tests/test_process_all.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3589792Z copying psutil/tests/test_process.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3590380Z copying psutil/tests/test_posix.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3590954Z copying psutil/tests/test_osx.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3591533Z copying psutil/tests/test_misc.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3592367Z copying psutil/tests/test_memleaks.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3592969Z copying psutil/tests/test_linux.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3593572Z copying psutil/tests/test_contracts.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3594204Z copying psutil/tests/test_connections.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3594807Z copying psutil/tests/test_bsd.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3595380Z copying psutil/tests/test_aix.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3595954Z copying psutil/tests/runner.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3596513Z copying psutil/tests/__main__.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3597196Z copying psutil/tests/__init__.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:33:58.3597615Z running build_ext 2025-09-07T07:33:58.3597838Z building 'psutil._psutil_linux' extension 2025-09-07T07:33:58.3598161Z creating build/temp.linux-aarch64-cpython-39/psutil 2025-09-07T07:33:58.3598566Z creating build/temp.linux-aarch64-cpython-39/psutil/arch/linux 2025-09-07T07:33:58.3603405Z gcc -Wno-unused-result -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -O2 -ftree-vectorize -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -march=armv8.2-a+crypto -mtune=neoverse-n1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -ftree-vectorize -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -march=armv8.2-a+crypto -mtune=neoverse-n1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -ftree-vectorize -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -march=armv8.2-a+crypto -mtune=neoverse-n1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -D_GNU_SOURCE -fPIC -fwrapv -fPIC -DPSUTIL_POSIX=1 -DPSUTIL_SIZEOF_PID_T=4 -DPSUTIL_VERSION=598 -DPy_LIMITED_API=0x03060000 -DPSUTIL_LINUX=1 -I/usr/include/python3.9 -c psutil/_psutil_common.c -o build/temp.linux-aarch64-cpython-39/psutil/_psutil_common.o 2025-09-07T07:33:58.3608354Z psutil/_psutil_common.c:9:10: fatal error: Python.h: No such file or directory 2025-09-07T07:33:58.3608733Z 9 | #include 2025-09-07T07:33:58.3608954Z | ^~~~~~~~~~ 2025-09-07T07:33:58.3609175Z compilation terminated. 2025-09-07T07:33:58.3609614Z psutil could not be installed from sources. Perhaps Python header files are not installed. Try running: 2025-09-07T07:33:58.3610107Z sudo yum install gcc python3-devel 2025-09-07T07:33:58.3610417Z error: command '/usr/bin/gcc' failed with exit code 1 2025-09-07T07:33:58.3610727Z ---------------------------------------- 2025-09-07T07:33:58.3611013Z ERROR: Failed building wheel for psutil 2025-09-07T07:33:58.3611477Z ERROR: Could not build wheels for psutil, which is required to install pyproject.toml-based projects 2025-09-07T07:33:58.3611939Z Failed to build psutil 2025-09-07T07:33:58.4256070Z ##[error]Process completed with exit code 1. 2025-09-07T07:33:58.4308799Z Prepare all required actions 2025-09-07T07:33:58.4309160Z Getting action download info 2025-09-07T07:33:58.5623700Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T07:33:59.6438126Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T07:34:03.1975035Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T07:34:03.1975542Z with: 2025-09-07T07:34:03.1975735Z name: linux-jammy-aarch64-py3.10 2025-09-07T07:34:03.1975986Z s3-bucket: gha-artifacts 2025-09-07T07:34:03.1976189Z env: 2025-09-07T07:34:03.1976354Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:03.1976559Z ##[endgroup] 2025-09-07T07:34:03.2125609Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:34:03.2125887Z with: 2025-09-07T07:34:03.2126072Z name: linux-jammy-aarch64-py3.10 2025-09-07T07:34:03.2126323Z s3-bucket: gha-artifacts 2025-09-07T07:34:03.2126568Z region: us-east-1 2025-09-07T07:34:03.2126745Z env: 2025-09-07T07:34:03.2126910Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:03.2127117Z ##[endgroup] 2025-09-07T07:34:03.8439160Z (node:51884) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:34:03.8439595Z 2025-09-07T07:34:03.8439767Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:34:03.8440230Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:34:03.8440731Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:34:04.2997867Z Found 1 objects with prefix pytorch/pytorch/17525321311/linux-jammy-aarch64-py3.10/ 2025-09-07T07:34:04.2998499Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:34:07.4611958Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:34:07.4618126Z Artifact download has finished successfully 2025-09-07T07:34:07.4861884Z ##[group]Run unzip -o artifacts.zip 2025-09-07T07:34:07.4862169Z unzip -o artifacts.zip 2025-09-07T07:34:07.4868824Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:34:07.4869134Z env: 2025-09-07T07:34:07.4869301Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:07.4869510Z ##[endgroup] 2025-09-07T07:34:07.5593516Z Archive: 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2025-09-07T07:34:12.1221787Z inflating: build/bin/apply_utils_test 2025-09-07T07:34:12.1282091Z inflating: build/bin/atest 2025-09-07T07:34:12.1346208Z inflating: build/bin/basic 2025-09-07T07:34:12.1402573Z inflating: build/bin/broadcast_test 2025-09-07T07:34:12.1454633Z inflating: build/bin/cpu_allocator_test 2025-09-07T07:34:12.1513742Z inflating: build/bin/cpu_generator_test 2025-09-07T07:34:12.1568356Z inflating: build/bin/cpu_profiling_allocator_test 2025-09-07T07:34:12.1657348Z inflating: build/bin/cpu_rng_test 2025-09-07T07:34:12.1709652Z inflating: build/bin/dlconvertor_test 2025-09-07T07:34:12.1768806Z inflating: build/bin/extension_backend_test 2025-09-07T07:34:12.1825152Z inflating: build/bin/half_test 2025-09-07T07:34:12.1921965Z inflating: build/bin/ivalue_test 2025-09-07T07:34:12.1973274Z inflating: build/bin/lazy_tensor_test 2025-09-07T07:34:12.2028198Z inflating: build/bin/math_kernel_test 2025-09-07T07:34:12.2083171Z inflating: build/bin/memory_format_test 2025-09-07T07:34:12.2137533Z inflating: build/bin/memory_overlapping_test 2025-09-07T07:34:12.2191915Z inflating: build/bin/mobile_memory_cleanup 2025-09-07T07:34:12.2248694Z inflating: build/bin/native_test 2025-09-07T07:34:12.2300320Z inflating: build/bin/operator_name_test 2025-09-07T07:34:12.2352300Z inflating: build/bin/operators_test 2025-09-07T07:34:12.2405474Z inflating: build/bin/packedtensoraccessor_test 2025-09-07T07:34:12.2472224Z inflating: build/bin/pow_test 2025-09-07T07:34:12.2531311Z inflating: build/bin/quantized_test 2025-09-07T07:34:12.2582373Z inflating: build/bin/reduce_ops_test 2025-09-07T07:34:12.2634460Z inflating: build/bin/reportMemoryUsage_test 2025-09-07T07:34:12.2691906Z inflating: build/bin/scalar_tensor_test 2025-09-07T07:34:12.2750365Z inflating: build/bin/scalar_test 2025-09-07T07:34:12.2803180Z inflating: build/bin/StorageUtils_test 2025-09-07T07:34:12.2856505Z inflating: build/bin/stride_properties_test 2025-09-07T07:34:12.2937110Z inflating: build/bin/tensor_iterator_test 2025-09-07T07:34:12.2993245Z inflating: build/bin/test_parallel 2025-09-07T07:34:12.3045005Z inflating: build/bin/thread_init_test 2025-09-07T07:34:12.3100551Z inflating: build/bin/type_ptr_test 2025-09-07T07:34:12.3161197Z inflating: build/bin/type_test 2025-09-07T07:34:12.3214588Z inflating: build/bin/undefined_tensor_test 2025-09-07T07:34:12.3265216Z inflating: build/bin/verify_api_visibility 2025-09-07T07:34:12.3334371Z inflating: build/bin/legacy_vmap_test 2025-09-07T07:34:12.3386915Z inflating: build/bin/weakref_test 2025-09-07T07:34:12.3439352Z inflating: build/bin/wrapdim_test 2025-09-07T07:34:12.3492231Z inflating: build/bin/xla_tensor_test 2025-09-07T07:34:12.3552972Z inflating: build/bin/IListRef_test 2025-09-07T07:34:12.3663819Z inflating: build/bin/List_test 2025-09-07T07:34:12.3730715Z inflating: build/bin/KernelFunction_test 2025-09-07T07:34:12.3850863Z inflating: build/bin/kernel_function_legacy_test 2025-09-07T07:34:12.3945720Z inflating: build/bin/kernel_function_test 2025-09-07T07:34:12.4047229Z inflating: build/bin/kernel_lambda_test 2025-09-07T07:34:12.4171724Z inflating: build/bin/kernel_lambda_legacy_test 2025-09-07T07:34:12.4233223Z inflating: build/bin/kernel_stackbased_test 2025-09-07T07:34:12.4327798Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-09-07T07:34:12.4380419Z inflating: build/bin/CppSignature_test 2025-09-07T07:34:12.4436771Z inflating: build/bin/backend_fallback_test 2025-09-07T07:34:12.4486663Z inflating: build/bin/op_allowlist_test 2025-09-07T07:34:12.4778247Z inflating: build/bin/op_registration_test 2025-09-07T07:34:12.4845322Z inflating: build/bin/inline_container_test 2025-09-07T07:34:12.5893632Z inflating: build/bin/test_jit 2025-09-07T07:34:12.5947512Z inflating: build/bin/FileStoreTest 2025-09-07T07:34:12.6001211Z inflating: build/bin/BackoffTest 2025-09-07T07:34:12.6058934Z inflating: build/bin/TCPStoreTest 2025-09-07T07:34:12.6113600Z inflating: build/bin/HashStoreTest 2025-09-07T07:34:12.6474320Z inflating: build/bin/test_nativert 2025-09-07T07:34:12.6477547Z inflating: build/bin/example_allreduce 2025-09-07T07:34:12.6544682Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T07:34:12.6601066Z inflating: build/bin/test_dist_autograd 2025-09-07T07:34:12.6669949Z inflating: build/bin/test_cpp_rpc 2025-09-07T07:34:12.7748474Z inflating: build/bin/test_api 2025-09-07T07:34:12.7750693Z inflating: build/bin/parallel_benchmark 2025-09-07T07:34:12.8099942Z inflating: build/bin/test_lazy 2025-09-07T07:34:12.8103621Z inflating: build/bin/torch_shm_manager 2025-09-07T07:34:12.8103906Z creating: .additional_ci_files/ 2025-09-07T07:34:12.8197513Z inflating: .additional_ci_files/test-times.json 2025-09-07T07:34:12.8549060Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T07:34:12.8593914Z ##[group]Run rm artifacts.zip 2025-09-07T07:34:12.8594165Z rm artifacts.zip 2025-09-07T07:34:12.8600615Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:34:12.8600923Z env: 2025-09-07T07:34:12.8601100Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:12.8601307Z ##[endgroup] 2025-09-07T07:34:12.8937684Z ##[group]Run df -H 2025-09-07T07:34:12.8937879Z df -H 2025-09-07T07:34:12.8943587Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:34:12.8943909Z env: 2025-09-07T07:34:12.8944078Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:12.8944288Z ##[endgroup] 2025-09-07T07:34:12.8984258Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T07:34:12.8984581Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-09-07T07:34:12.8984863Z tmpfs 135G 0 135G 0% /dev/shm 2025-09-07T07:34:12.8985141Z tmpfs 54G 9.4M 54G 1% /run 2025-09-07T07:34:12.8985406Z /dev/nvme0n1p1 275G 46G 229G 17% / 2025-09-07T07:34:12.8985671Z tmpfs 135G 13k 135G 1% /tmp 2025-09-07T07:34:12.8985950Z /dev/nvme0n1p128 11M 1.5M 9.1M 14% /boot/efi 2025-09-07T07:34:12.9016832Z Prepare all required actions 2025-09-07T07:34:12.9017684Z Getting action download info 2025-09-07T07:34:13.0753562Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T07:34:13.0753851Z with: 2025-09-07T07:34:13.0754286Z env: 2025-09-07T07:34:13.0754459Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:13.0754662Z ##[endgroup] 2025-09-07T07:34:13.0954196Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:34:13.0954483Z with: 2025-09-07T07:34:13.0954646Z name: td_results 2025-09-07T07:34:13.0954839Z s3-bucket: gha-artifacts 2025-09-07T07:34:13.0955052Z region: us-east-1 2025-09-07T07:34:13.0955222Z env: 2025-09-07T07:34:13.0955385Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:13.0955589Z ##[endgroup] 2025-09-07T07:34:13.4446485Z (node:51902) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:34:13.4446916Z 2025-09-07T07:34:13.4447122Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:34:13.4447583Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:34:13.4448291Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:34:13.5403083Z Found 0 objects with prefix pytorch/pytorch/17525321311/td_results/ 2025-09-07T07:34:13.5408947Z Artifact download has finished successfully 2025-09-07T07:34:13.5633697Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T07:34:13.5634017Z mkdir -p .additional_ci_files 2025-09-07T07:34:13.5634384Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T07:34:13.5641871Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:34:13.5642178Z env: 2025-09-07T07:34:13.5642348Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:13.5642555Z ##[endgroup] 2025-09-07T07:34:13.5688358Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T07:34:13.5754387Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T07:34:13.5754739Z .github/scripts/parse_ref.py 2025-09-07T07:34:13.5760393Z shell: /usr/bin/bash -e {0} 2025-09-07T07:34:13.5760633Z env: 2025-09-07T07:34:13.5760801Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:13.5761003Z ##[endgroup] 2025-09-07T07:34:13.7019098Z Setting output branch=main 2025-09-07T07:34:13.7150715Z Prepare all required actions 2025-09-07T07:34:13.7151074Z Getting action download info 2025-09-07T07:34:13.8248816Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T07:34:13.8249104Z with: 2025-09-07T07:34:13.8249440Z github-token: *** 2025-09-07T07:34:13.8262016Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 1, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 2, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 3, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 4, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 5, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 6, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 7, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 8, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 9, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}]} 2025-09-07T07:34:13.8274950Z job-name: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:34:13.8275486Z env: 2025-09-07T07:34:13.8275653Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:13.8275862Z ##[endgroup] 2025-09-07T07:34:13.8310728Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:34:13.8310976Z with: 2025-09-07T07:34:13.8311130Z shell: bash 2025-09-07T07:34:13.8311307Z timeout_minutes: 10 2025-09-07T07:34:13.8311502Z max_attempts: 5 2025-09-07T07:34:13.8311690Z retry_wait_seconds: 30 2025-09-07T07:34:13.8312364Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T07:34:13.8313071Z polling_interval_seconds: 1 2025-09-07T07:34:13.8313303Z warning_on_retry: true 2025-09-07T07:34:13.8313512Z continue_on_error: false 2025-09-07T07:34:13.8313709Z env: 2025-09-07T07:34:13.8313868Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:13.8314221Z GITHUB_TOKEN: *** 2025-09-07T07:34:13.8314416Z ##[endgroup] 2025-09-07T07:34:13.9831903Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T07:34:14.1944210Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:34:14.5607588Z Collecting requests==2.27.1 2025-09-07T07:34:14.5767508Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T07:34:14.8583455Z Collecting pyyaml==6.0.2 2025-09-07T07:34:14.8621993Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (720 kB) 2025-09-07T07:34:14.9496770Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-09-07T07:34:14.9500241Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-09-07T07:34:15.0615999Z Collecting certifi>=2017.4.17 2025-09-07T07:34:15.0651285Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-09-07T07:34:15.4846413Z Collecting charset-normalizer~=2.0.0 2025-09-07T07:34:15.4893755Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T07:34:15.7103388Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-09-07T07:34:16.3663553Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T07:34:16.9019761Z Command completed after 1 attempt(s). 2025-09-07T07:34:16.9088462Z ##[group]Run set -x 2025-09-07T07:34:16.9088676Z set -x 2025-09-07T07:34:16.9088851Z  2025-09-07T07:34:16.9089166Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:34:16.9089571Z # in runner workspace 2025-09-07T07:34:16.9089893Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T07:34:16.9096333Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:34:16.9096646Z env: 2025-09-07T07:34:16.9096809Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:16.9097032Z ##[endgroup] 2025-09-07T07:34:16.9119730Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T07:34:16.9283329Z Setting output branch=main 2025-09-07T07:34:16.9353516Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:34:16.9353884Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:34:16.9354248Z echo "Job name: ${JOB_NAME}" 2025-09-07T07:34:16.9354483Z  2025-09-07T07:34:16.9354800Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:34:16.9355200Z # in runner workspace 2025-09-07T07:34:16.9355563Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T07:34:16.9355965Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T07:34:16.9356238Z  --job-name "${JOB_NAME}" \ 2025-09-07T07:34:16.9368747Z  --test-matrix "{"include": [{"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 1, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 2, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 3, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 4, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 5, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 6, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 7, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 8, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 9, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}]}" \ 2025-09-07T07:34:16.9381390Z  --selected-test-configs "" \ 2025-09-07T07:34:16.9381665Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T07:34:16.9381921Z  --tag "${TAG}" \ 2025-09-07T07:34:16.9382155Z  --event-name "${EVENT_NAME}" \ 2025-09-07T07:34:16.9382425Z  --schedule "${SCHEDULE}" \ 2025-09-07T07:34:16.9382678Z  --branch "${HEAD_BRANCH}" 2025-09-07T07:34:16.9388417Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:34:16.9388727Z env: 2025-09-07T07:34:16.9388897Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:16.9389369Z GITHUB_TOKEN: *** 2025-09-07T07:34:16.9389884Z JOB_NAME: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:34:16.9390428Z PR_NUMBER: 2025-09-07T07:34:16.9390598Z TAG: 2025-09-07T07:34:16.9390762Z EVENT_NAME: schedule 2025-09-07T07:34:16.9390955Z SCHEDULE: 0 7 * * * 2025-09-07T07:34:16.9391151Z HEAD_BRANCH: main 2025-09-07T07:34:16.9391334Z ##[endgroup] 2025-09-07T07:34:16.9412613Z Workflow: inductor-perf-nightly-aarch64 2025-09-07T07:34:16.9413190Z Job name: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:34:17.1190345Z Setting output keep-going=True 2025-09-07T07:34:17.1190628Z Setting output ci-verbose-test-logs=False 2025-09-07T07:34:17.1190925Z Setting output ci-test-showlocals=False 2025-09-07T07:34:17.1191214Z Setting output ci-no-test-timeout=False 2025-09-07T07:34:17.1191487Z Setting output ci-no-td=False 2025-09-07T07:34:17.1191748Z Setting output ci-td-distributed=False 2025-09-07T07:34:17.1192253Z Setting output is-unstable=False 2025-09-07T07:34:17.1192516Z Setting output reenabled-issues= 2025-09-07T07:34:17.1205345Z Setting output test-matrix={"include": [{"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 1, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 2, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 3, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 4, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 5, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 6, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 7, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 8, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 9, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}]} 2025-09-07T07:34:17.1217997Z Setting output is-test-matrix-empty=False 2025-09-07T07:34:17.1344004Z ##[group]Run echo "Filtered matrix:" 2025-09-07T07:34:17.1344316Z echo "Filtered matrix:" 2025-09-07T07:34:17.1357040Z echo "{"include": [{"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 1, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 2, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 3, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 4, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 5, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 6, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 7, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 8, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_huggingface_perf_cpu_aarch64", "shard": 9, "num_shards": 9, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_timm_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 1, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 2, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 3, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 4, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 5, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 6, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 7, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 8, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 9, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 10, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 11, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 12, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 13, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 14, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}, {"config": "inductor_torchbench_perf_cpu_aarch64", "shard": 15, "num_shards": 15, "runner": "linux.arm64.m7g.metal"}]}" 2025-09-07T07:34:17.1369625Z  2025-09-07T07:34:17.1369789Z echo 2025-09-07T07:34:17.1370013Z echo "Is the current job unstable? False" 2025-09-07T07:34:17.1370282Z  2025-09-07T07:34:17.1370441Z echo 2025-09-07T07:34:17.1370650Z echo "Is keep-going label set? True" 2025-09-07T07:34:17.1370909Z  2025-09-07T07:34:17.1371062Z echo 2025-09-07T07:34:17.1371252Z echo "Reenabled issues? " 2025-09-07T07:34:17.1377564Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:34:17.1377876Z env: 2025-09-07T07:34:17.1378040Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:17.1378244Z ##[endgroup] 2025-09-07T07:34:17.1399567Z Filtered matrix: 2025-09-07T07:34:17.1414649Z {include: [{config: inductor_huggingface_perf_cpu_aarch64, shard: 1, num_shards: 9, runner: linux.arm64.m7g.metal}, {config: inductor_huggingface_perf_cpu_aarch64, shard: 2, num_shards: 9, runner: linux.arm64.m7g.metal}, {config: inductor_huggingface_perf_cpu_aarch64, shard: 3, num_shards: 9, runner: linux.arm64.m7g.metal}, {config: inductor_huggingface_perf_cpu_aarch64, shard: 4, num_shards: 9, runner: linux.arm64.m7g.metal}, {config: inductor_huggingface_perf_cpu_aarch64, shard: 5, num_shards: 9, runner: linux.arm64.m7g.metal}, {config: inductor_huggingface_perf_cpu_aarch64, shard: 6, num_shards: 9, runner: linux.arm64.m7g.metal}, {config: inductor_huggingface_perf_cpu_aarch64, shard: 7, num_shards: 9, runner: linux.arm64.m7g.metal}, {config: inductor_huggingface_perf_cpu_aarch64, shard: 8, num_shards: 9, runner: linux.arm64.m7g.metal}, {config: inductor_huggingface_perf_cpu_aarch64, shard: 9, num_shards: 9, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 1, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 2, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 3, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 4, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 5, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 6, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 7, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 8, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 9, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 10, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 11, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 12, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 13, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 14, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_timm_perf_cpu_aarch64, shard: 15, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 1, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 2, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 3, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 4, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 5, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 6, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 7, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 8, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 9, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 10, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 11, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 12, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 13, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 14, num_shards: 15, runner: linux.arm64.m7g.metal}, {config: inductor_torchbench_perf_cpu_aarch64, shard: 15, num_shards: 15, runner: linux.arm64.m7g.metal}]} 2025-09-07T07:34:17.1426888Z 2025-09-07T07:34:17.1426982Z Is the current job unstable? False 2025-09-07T07:34:17.1427162Z 2025-09-07T07:34:17.1427248Z Is keep-going label set? True 2025-09-07T07:34:17.1427409Z 2025-09-07T07:34:17.1427480Z Reenabled issues? 2025-09-07T07:34:17.1595569Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:34:17.1596068Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:34:17.1601989Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:34:17.1602296Z env: 2025-09-07T07:34:17.1602465Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:17.1602677Z JOB_TIMEOUT: 720 2025-09-07T07:34:17.1602853Z ##[endgroup] 2025-09-07T07:34:17.1759672Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:34:17.1760151Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:34:17.1760534Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:34:17.1766140Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:34:17.1766463Z env: 2025-09-07T07:34:17.1766630Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:17.1766834Z ##[endgroup] 2025-09-07T07:34:17.1909639Z ##[group]Run set -x 2025-09-07T07:34:17.1909977Z set -x 2025-09-07T07:34:17.1910155Z  2025-09-07T07:34:17.1910357Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T07:34:17.1910693Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T07:34:17.1911024Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T07:34:17.1911325Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T07:34:17.1911567Z else 2025-09-07T07:34:17.1911771Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:34:17.1912019Z fi 2025-09-07T07:34:17.1912179Z  2025-09-07T07:34:17.1912389Z # Leaving 1GB for the runner and other things 2025-09-07T07:34:17.1912880Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T07:34:17.1913821Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T07:34:17.1914429Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T07:34:17.1914879Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T07:34:17.1915229Z  2025-09-07T07:34:17.1915441Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:34:17.1915728Z  SHM_OPTS= 2025-09-07T07:34:17.1915923Z  JENKINS_USER= 2025-09-07T07:34:17.1916216Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T07:34:17.1916627Z  # if for some reason cleanup action doesn't stop container 2025-09-07T07:34:17.1916961Z  # when job is cancelled 2025-09-07T07:34:17.1917213Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T07:34:17.1917453Z else 2025-09-07T07:34:17.1917653Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T07:34:17.1917938Z  JENKINS_USER="--user jenkins" 2025-09-07T07:34:17.1918203Z  DOCKER_SHELL_CMD= 2025-09-07T07:34:17.1918410Z fi 2025-09-07T07:34:17.1918567Z  2025-09-07T07:34:17.1918846Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T07:34:17.1919297Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T07:34:17.1919814Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T07:34:17.1920268Z # shellcheck disable=SC2086,SC2090 2025-09-07T07:34:17.1920547Z container_name=$(docker run \ 2025-09-07T07:34:17.1920803Z  ${GPU_FLAG:-} \ 2025-09-07T07:34:17.1921050Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T07:34:17.1921335Z  -e BUILD_ENVIRONMENT \ 2025-09-07T07:34:17.1921579Z  -e PR_NUMBER \ 2025-09-07T07:34:17.1921800Z  -e GITHUB_ACTIONS \ 2025-09-07T07:34:17.1922044Z  -e GITHUB_REPOSITORY \ 2025-09-07T07:34:17.1922287Z  -e GITHUB_WORKFLOW \ 2025-09-07T07:34:17.1922521Z  -e GITHUB_JOB \ 2025-09-07T07:34:17.1922743Z  -e GITHUB_RUN_ID \ 2025-09-07T07:34:17.1922970Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T07:34:17.1923211Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T07:34:17.1923452Z  -e JOB_ID \ 2025-09-07T07:34:17.1923654Z  -e JOB_NAME \ 2025-09-07T07:34:17.1923862Z  -e BASE_SHA \ 2025-09-07T07:34:17.1924064Z  -e BRANCH \ 2025-09-07T07:34:17.1924263Z  -e SHA1 \ 2025-09-07T07:34:17.1924470Z  -e AWS_DEFAULT_REGION \ 2025-09-07T07:34:17.1924714Z  -e IN_WHEEL_TEST \ 2025-09-07T07:34:17.1924935Z  -e SHARD_NUMBER \ 2025-09-07T07:34:17.1925158Z  -e TEST_CONFIG \ 2025-09-07T07:34:17.1925381Z  -e NUM_TEST_SHARDS \ 2025-09-07T07:34:17.1925623Z  -e REENABLED_ISSUES \ 2025-09-07T07:34:17.1925877Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T07:34:17.1926312Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T07:34:17.1926569Z  -e TEST_SHOWLOCALS \ 2025-09-07T07:34:17.1926807Z  -e NO_TEST_TIMEOUT \ 2025-09-07T07:34:17.1927025Z  -e NO_TD \ 2025-09-07T07:34:17.1927234Z  -e TD_DISTRIBUTED \ 2025-09-07T07:34:17.1927468Z  -e PR_LABELS \ 2025-09-07T07:34:17.1927711Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T07:34:17.1927981Z  -e SCCACHE_BUCKET \ 2025-09-07T07:34:17.1928212Z  -e SCCACHE_REGION \ 2025-09-07T07:34:17.1928439Z  -e XLA_CUDA \ 2025-09-07T07:34:17.1928678Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T07:34:17.1928979Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T07:34:17.1929287Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T07:34:17.1929600Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T07:34:17.1929983Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T07:34:17.1930262Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T07:34:17.1930548Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T07:34:17.1930817Z  -e DASHBOARD_TAG \ 2025-09-07T07:34:17.1931050Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T07:34:17.1931352Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T07:34:17.1931701Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T07:34:17.1932047Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T07:34:17.1932379Z  --security-opt seccomp=unconfined \ 2025-09-07T07:34:17.1932663Z  --cap-add=SYS_PTRACE \ 2025-09-07T07:34:17.1932899Z  --ipc=host \ 2025-09-07T07:34:17.1933100Z  ${SHM_OPTS} \ 2025-09-07T07:34:17.1933301Z  --tty \ 2025-09-07T07:34:17.1933488Z  --detach \ 2025-09-07T07:34:17.1933700Z  --name="${container_name}" \ 2025-09-07T07:34:17.1933957Z  ${JENKINS_USER} \ 2025-09-07T07:34:17.1934252Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T07:34:17.1934590Z  -w /var/lib/jenkins/workspace \ 2025-09-07T07:34:17.1934855Z  "${DOCKER_IMAGE}" \ 2025-09-07T07:34:17.1935079Z  ${DOCKER_SHELL_CMD} 2025-09-07T07:34:17.1935290Z ) 2025-09-07T07:34:17.1935529Z # Propagate download.pytorch.org IP to container 2025-09-07T07:34:17.1936098Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T07:34:17.1936703Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T07:34:17.1937037Z  2025-09-07T07:34:17.1937251Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:34:17.1937747Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T07:34:17.1938186Z fi 2025-09-07T07:34:17.1938344Z  2025-09-07T07:34:17.1938761Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T07:34:17.1944668Z shell: /usr/bin/bash -e {0} 2025-09-07T07:34:17.1944899Z env: 2025-09-07T07:34:17.1945063Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:17.1945321Z BUILD_ENVIRONMENT: linux-jammy-aarch64-py3.10 2025-09-07T07:34:17.1945597Z PR_NUMBER: 2025-09-07T07:34:17.1945787Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T07:34:17.1946079Z GITHUB_WORKFLOW: inductor-perf-nightly-aarch64 2025-09-07T07:34:17.1946361Z GITHUB_JOB: test 2025-09-07T07:34:17.1946548Z GITHUB_RUN_ID: 17525321311 2025-09-07T07:34:17.1946769Z GITHUB_RUN_NUMBER: 706 2025-09-07T07:34:17.1946971Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T07:34:17.1947164Z JOB_ID: 49775354804 2025-09-07T07:34:17.1947652Z JOB_NAME: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:34:17.1948187Z BRANCH: main 2025-09-07T07:34:17.1948533Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:34:17.1948847Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:34:17.1949169Z TEST_CONFIG: inductor_torchbench_perf_cpu_aarch64 2025-09-07T07:34:17.1949447Z SHARD_NUMBER: 14 2025-09-07T07:34:17.1949631Z NUM_TEST_SHARDS: 15 2025-09-07T07:34:17.1949819Z REENABLED_ISSUES: 2025-09-07T07:34:17.1950024Z CONTINUE_THROUGH_ERROR: True 2025-09-07T07:34:17.1950251Z VERBOSE_TEST_LOGS: False 2025-09-07T07:34:17.1950465Z TEST_SHOWLOCALS: False 2025-09-07T07:34:17.1950670Z NO_TEST_TIMEOUT: False 2025-09-07T07:34:17.1950865Z NO_TD: False 2025-09-07T07:34:17.1951042Z TD_DISTRIBUTED: False 2025-09-07T07:34:17.1951296Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T07:34:17.1951590Z SCCACHE_REGION: us-east-1 2025-09-07T07:34:17.1951797Z SHM_SIZE: 1g 2025-09-07T07:34:17.1952639Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:34:17.1953438Z XLA_CUDA: 2025-09-07T07:34:17.1953730Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:34:17.1954197Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T07:34:17.1954462Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T07:34:17.1955025Z DASHBOARD_TAG: training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true 2025-09-07T07:34:17.1955769Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T07:34:17.1956113Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T07:34:17.1956454Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T07:34:17.1956919Z ARTIFACTS_FILE_SUFFIX: test-inductor_torchbench_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354804 2025-09-07T07:34:17.1957392Z ##[endgroup] 2025-09-07T07:34:17.1978262Z + [[ inductor_torchbench_perf_cpu_aarch64 == \m\u\l\t\i\g\p\u ]] 2025-09-07T07:34:17.1978643Z + [[ linux-jammy-aarch64-py3.10 == *onnx* ]] 2025-09-07T07:34:17.1978934Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:34:17.1980966Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T07:34:17.1999331Z + TOTAL_AVAILABLE_MEMORY_IN_GB='250.189 ' 2025-09-07T07:34:17.1999608Z + TOTAL_MEMORY_WITH_SWAP=253 2025-09-07T07:34:17.1999876Z + [[ linux-jammy-aarch64-py3.10 == *\s\3\9\0\x* ]] 2025-09-07T07:34:17.2000154Z + SHM_OPTS=--shm-size=1g 2025-09-07T07:34:17.2000372Z + JENKINS_USER='--user jenkins' 2025-09-07T07:34:17.2000597Z + DOCKER_SHELL_CMD= 2025-09-07T07:34:17.2007035Z +++ nproc --ignore=2 2025-09-07T07:34:17.2852482Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=62 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=250g --memory-swap=253g --env-file=/tmp/github_env_17525321311 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:35:17.8770683Z + container_name=473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:35:17.8774461Z + grep download.pytorch.org /etc/hosts 2025-09-07T07:35:17.8776109Z + docker exec -i 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T07:35:17.9891564Z + echo DOCKER_CONTAINER_ID=473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:35:17.9893242Z + [[ linux-jammy-aarch64-py3.10 == *\s\3\9\0\x* ]] 2025-09-07T07:35:17.9896560Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:17.9898607Z + docker exec -t 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_aarch64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T07:35:18.3941234Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_aarch64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T07:35:18.5892595Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.19.1) 2025-09-07T07:35:18.5897883Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (4.15.0) 2025-09-07T07:35:18.5903071Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.13.3) 2025-09-07T07:35:18.5908309Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2.8.8) 2025-09-07T07:35:18.5912173Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.1.6) 2025-09-07T07:35:18.5917249Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2025.3.0) 2025-09-07T07:35:18.5932113Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.3.0) 2025-09-07T07:35:18.6390261Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.22.4) 2025-09-07T07:35:18.6413296Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.3.0) 2025-09-07T07:35:18.6456291Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.0.2) 2025-09-07T07:35:19.7060134Z Installing collected packages: torch 2025-09-07T07:35:28.5427794Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-09-07T07:35:28.5428625Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T07:35:28.5429008Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T07:35:28.5429436Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T07:35:28.5429960Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T07:35:28.5430606Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T07:35:28.5431279Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T07:35:28.5431731Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T07:35:28.6154826Z + export TERM=vt100 2025-09-07T07:35:28.6155021Z + TERM=vt100 2025-09-07T07:35:28.6157703Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:35:28.6164824Z + source .ci/pytorch/common.sh 2025-09-07T07:35:28.6167648Z +++ dirname .ci/pytorch/common.sh 2025-09-07T07:35:28.6173918Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T07:35:28.6174509Z +++ declare -f -t trap_add 2025-09-07T07:35:28.6178185Z ++ set -ex -o pipefail 2025-09-07T07:35:28.6178424Z ++ [[ linux-jammy-aarch64-py3.10 == *rocm* ]] 2025-09-07T07:35:28.6178696Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T07:35:28.6181404Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:35:28.6187482Z + source .ci/pytorch/common-build.sh 2025-09-07T07:35:28.6188671Z ++ [[ linux-jammy-aarch64-py3.10 != *win-* ]] 2025-09-07T07:35:28.6193903Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T07:35:28.6200271Z +++ cd .ci/pytorch 2025-09-07T07:35:28.6200533Z +++ pwd -P 2025-09-07T07:35:28.6202515Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T07:35:28.6202866Z ++ [[ linux-jammy-aarch64-py3.10 == *-pch* ]] 2025-09-07T07:35:28.6203126Z ++ which sccache 2025-09-07T07:35:28.6218758Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T07:35:28.6219044Z ++ sccache --stop-server 2025-09-07T07:35:28.6241197Z ++ true 2025-09-07T07:35:28.6241393Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T07:35:28.6249130Z ++ trap_add sccache_epilogue EXIT 2025-09-07T07:35:28.6249390Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T07:35:28.6249614Z ++ shift 2025-09-07T07:35:28.6249793Z ++ for trap_add_name in "$@" 2025-09-07T07:35:28.6254609Z ++++ trap -p EXIT 2025-09-07T07:35:28.6256556Z +++ eval 'extract_trap_cmd ' 2025-09-07T07:35:28.6256809Z ++++ extract_trap_cmd 2025-09-07T07:35:28.6257010Z ++++ printf '%s\n' '' 2025-09-07T07:35:28.6257216Z +++ printf '%s\n' sccache_epilogue 2025-09-07T07:35:28.6258546Z ++ trap -- ' 2025-09-07T07:35:28.6258755Z sccache_epilogue' EXIT 2025-09-07T07:35:28.6258959Z ++ [[ -n 1 ]] 2025-09-07T07:35:28.6259280Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T07:35:28.6259790Z Skipping sccache server initialization, setting environment variables 2025-09-07T07:35:28.6260181Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:35:28.6260426Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:35:28.6260724Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:35:28.6261101Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:35:28.6261450Z ++ export RUST_LOG=sccache::server=error 2025-09-07T07:35:28.6261717Z ++ RUST_LOG=sccache::server=error 2025-09-07T07:35:28.6261951Z ++ sccache --zero-stats 2025-09-07T07:35:28.7411794Z Statistics zeroed. 2025-09-07T07:35:28.7418216Z ++ which ccache 2025-09-07T07:35:28.7699745Z + [[ linux-jammy-aarch64-py3.10 != *rocm* ]] 2025-09-07T07:35:28.7700063Z + [[ linux-jammy-aarch64-py3.10 != *s390x* ]] 2025-09-07T07:35:28.7700350Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T07:35:28.7701746Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T07:35:28.7711506Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T07:35:28.7711774Z + trap_add cleanup_workspace EXIT 2025-09-07T07:35:28.7712054Z + trap_add_cmd=cleanup_workspace 2025-09-07T07:35:28.7712281Z + shift 2025-09-07T07:35:28.7712470Z + for trap_add_name in "$@" 2025-09-07T07:35:28.7717644Z +++ trap -p EXIT 2025-09-07T07:35:28.7719552Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T07:35:28.7719812Z sccache_epilogue'\'' EXIT' 2025-09-07T07:35:28.7720045Z +++ extract_trap_cmd trap -- ' 2025-09-07T07:35:28.7720273Z sccache_epilogue' EXIT 2025-09-07T07:35:28.7720490Z +++ printf '%s\n' ' 2025-09-07T07:35:28.7720677Z sccache_epilogue' 2025-09-07T07:35:28.7720880Z ++ printf '%s\n' cleanup_workspace 2025-09-07T07:35:28.7721898Z + trap -- ' 2025-09-07T07:35:28.7722106Z sccache_epilogue 2025-09-07T07:35:28.7722303Z cleanup_workspace' EXIT 2025-09-07T07:35:28.7722577Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T07:35:29.4283611Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T07:35:29.4299561Z + echo 'Environment variables:' 2025-09-07T07:35:29.4299815Z Environment variables: 2025-09-07T07:35:29.4300035Z + env 2025-09-07T07:35:29.4306355Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:35:29.4307061Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:35:29.4307356Z BUILD_ENVIRONMENT=linux-jammy-aarch64-py3.10 2025-09-07T07:35:29.4307859Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:35:29.4308094Z HOSTNAME=473f9b687e72 2025-09-07T07:35:29.4308585Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_52a65953-c4f9-48de-a549-df7423aa3957 2025-09-07T07:35:29.4309122Z GITHUB_ACTION=__run_2 2025-09-07T07:35:29.4309339Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:35:29.4309576Z GITHUB_RUN_NUMBER=706 2025-09-07T07:35:29.4309825Z TEST_CONFIG=inductor_torchbench_perf_cpu_aarch64 2025-09-07T07:35:29.4310126Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:35:29.4310399Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:35:29.4310715Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:35:29.4311046Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:35:29.4311501Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:35:29.4311768Z GITHUB_REF_TYPE=branch 2025-09-07T07:35:29.4312016Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:29.4312290Z XLA_CUDA= 2025-09-07T07:35:29.4312467Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:35:29.4312814Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:35:29.4313235Z *** 2025-09-07T07:35:29.4313421Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:35:29.4313646Z GITHUB_ACTIONS=true 2025-09-07T07:35:29.4313891Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:35:29.4314218Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:29.4314531Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:29.4315099Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-aarch64.yml@refs/heads/main 2025-09-07T07:35:29.4315609Z UCC_HOME=/usr 2025-09-07T07:35:29.4315794Z VERBOSE_TEST_LOGS=False 2025-09-07T07:35:29.4316005Z GITHUB_REF=refs/heads/main 2025-09-07T07:35:29.4316224Z SHARD_NUMBER=14 2025-09-07T07:35:29.4316411Z GITHUB_REF_PROTECTED=true 2025-09-07T07:35:29.4316637Z HOME=/var/lib/jenkins 2025-09-07T07:35:29.4316873Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:35:29.4317148Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:35:29.4317380Z UCX_COMMIT= 2025-09-07T07:35:29.4317547Z USE_SYSTEM_NCCL=1 2025-09-07T07:35:29.4317731Z NUM_TEST_SHARDS=15 2025-09-07T07:35:29.4317910Z UCX_HOME=/usr 2025-09-07T07:35:29.4318389Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_52a65953-c4f9-48de-a549-df7423aa3957 2025-09-07T07:35:29.4319216Z JOB_NAME=linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:35:29.4320025Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_52a65953-c4f9-48de-a549-df7423aa3957 2025-09-07T07:35:29.4320713Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:35:29.4321139Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:35:29.4321679Z DASHBOARD_TAG=training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true 2025-09-07T07:35:29.4322245Z GITHUB_RUN_ID=17525321311 2025-09-07T07:35:29.4322462Z INSTALLED_OPENBLAS=yes 2025-09-07T07:35:29.4322992Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_52a65953-c4f9-48de-a549-df7423aa3957 2025-09-07T07:35:29.4323578Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:35:29.4323796Z PR_NUMBER= 2025-09-07T07:35:29.4323962Z DESIRED_CUDA= 2025-09-07T07:35:29.4324140Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:35:29.4324343Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T07:35:29.4324623Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:35:29.4324909Z TERM=vt100 2025-09-07T07:35:29.4325074Z INSTALLED_VISION=yes 2025-09-07T07:35:29.4325269Z BRANCH=main 2025-09-07T07:35:29.4325449Z SCCACHE_REGION=us-east-1 2025-09-07T07:35:29.4325667Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:35:29.4325901Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:35:29.4326496Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:35:29.4327011Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:35:29.4327255Z UCC_COMMIT= 2025-09-07T07:35:29.4327417Z REENABLED_ISSUES= 2025-09-07T07:35:29.4327594Z DOCS= 2025-09-07T07:35:29.4327744Z SHLVL=1 2025-09-07T07:35:29.4327897Z MAX_JOBS=62 2025-09-07T07:35:29.4328063Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:35:29.4328346Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:29.4328661Z GITHUB_REF_NAME=main 2025-09-07T07:35:29.4328979Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:35:29.4329330Z GITHUB_JOB=test 2025-09-07T07:35:29.4329516Z NO_TEST_TIMEOUT=False 2025-09-07T07:35:29.4329716Z TD_DISTRIBUTED=False 2025-09-07T07:35:29.4329933Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:35:29.4330176Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:35:29.4330497Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:35:29.4330714Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:35:29.4331386Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T07:35:29.4332070Z GITHUB_BASE_REF= 2025-09-07T07:35:29.4332253Z INSTALLED_ACL=yes 2025-09-07T07:35:29.4332679Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354804 2025-09-07T07:35:29.4333149Z CI=true 2025-09-07T07:35:29.4333320Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:35:29.4333594Z RUST_LOG=sccache::server=error 2025-09-07T07:35:29.4333817Z JOB_ID=49775354804 2025-09-07T07:35:29.4333998Z GITHUB_HEAD_REF= 2025-09-07T07:35:29.4334177Z GITHUB_ACTION_REF= 2025-09-07T07:35:29.4334415Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:35:29.4334707Z TEST_SHOWLOCALS=False 2025-09-07T07:35:29.4334953Z GITHUB_WORKFLOW=inductor-perf-nightly-aarch64 2025-09-07T07:35:29.4335252Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:35:29.4335787Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_52a65953-c4f9-48de-a549-df7423aa3957 2025-09-07T07:35:29.4336326Z NO_TD=False 2025-09-07T07:35:29.4336513Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:35:29.4336767Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:35:29.4337016Z _=/usr/bin/env 2025-09-07T07:35:29.4337291Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T07:35:29.5081063Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T07:35:29.5081592Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T07:35:29.5082090Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T07:35:29.5082601Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T07:35:29.5082989Z + BUILD_DIR=build 2025-09-07T07:35:29.5083202Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T07:35:29.5083439Z + BUILD_BIN_DIR=build/bin 2025-09-07T07:35:29.5083654Z + SHARD_NUMBER=14 2025-09-07T07:35:29.5083840Z + NUM_TEST_SHARDS=15 2025-09-07T07:35:29.5084056Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:35:29.5084310Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:35:29.5084537Z + export VALGRIND=ON 2025-09-07T07:35:29.5084730Z + VALGRIND=ON 2025-09-07T07:35:29.5084940Z + [[ linux-jammy-aarch64-py3.10 == *clang9* ]] 2025-09-07T07:35:29.5085235Z + [[ linux-jammy-aarch64-py3.10 == *xpu* ]] 2025-09-07T07:35:29.5085493Z + detect_cuda_arch 2025-09-07T07:35:29.5085707Z + [[ linux-jammy-aarch64-py3.10 == *cuda* ]] 2025-09-07T07:35:29.5085997Z + [[ linux-jammy-aarch64-py3.10 == *s390x* ]] 2025-09-07T07:35:29.5086247Z + [[ 0 == \1 ]] 2025-09-07T07:35:29.5086422Z + [[ True == \1 ]] 2025-09-07T07:35:29.5086632Z + [[ linux-jammy-aarch64-py3.10 != *bazel* ]] 2025-09-07T07:35:29.5086922Z ++ realpath build/custom_test_artifacts 2025-09-07T07:35:29.5092734Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T07:35:29.5093160Z + [[ -n '' ]] 2025-09-07T07:35:29.5093583Z + echo 'Environment variables' 2025-09-07T07:35:29.5093828Z Environment variables 2025-09-07T07:35:29.5094017Z + env 2025-09-07T07:35:29.5499935Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:35:29.5500299Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:35:29.5500559Z BUILD_ENVIRONMENT=linux-jammy-aarch64-py3.10 2025-09-07T07:35:29.5501016Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:35:29.5501254Z HOSTNAME=473f9b687e72 2025-09-07T07:35:29.5501748Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_52a65953-c4f9-48de-a549-df7423aa3957 2025-09-07T07:35:29.5502273Z GITHUB_ACTION=__run_2 2025-09-07T07:35:29.5502490Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:35:29.5502773Z GITHUB_RUN_NUMBER=706 2025-09-07T07:35:29.5503011Z TEST_CONFIG=inductor_torchbench_perf_cpu_aarch64 2025-09-07T07:35:29.5503506Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:35:29.5503785Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:35:29.5504050Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:35:29.5504388Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:35:29.5504640Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:35:29.5504899Z GITHUB_REF_TYPE=branch 2025-09-07T07:35:29.5505137Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:29.5505404Z XLA_CUDA= 2025-09-07T07:35:29.5505581Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:35:29.5506125Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:35:29.5506407Z *** 2025-09-07T07:35:29.5506575Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:35:29.5506799Z GITHUB_ACTIONS=true 2025-09-07T07:35:29.5507039Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:35:29.5507362Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:29.5507672Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:29.5508237Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-aarch64.yml@refs/heads/main 2025-09-07T07:35:29.5508757Z UCC_HOME=/usr 2025-09-07T07:35:29.5508946Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:35:29.5509168Z VERBOSE_TEST_LOGS=False 2025-09-07T07:35:29.5509378Z GITHUB_REF=refs/heads/main 2025-09-07T07:35:29.5509583Z SHARD_NUMBER=14 2025-09-07T07:35:29.5509770Z GITHUB_REF_PROTECTED=true 2025-09-07T07:35:29.5509982Z HOME=/var/lib/jenkins 2025-09-07T07:35:29.5510207Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:35:29.5510477Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:35:29.5510715Z UCX_COMMIT= 2025-09-07T07:35:29.5510879Z USE_SYSTEM_NCCL=1 2025-09-07T07:35:29.5511061Z NUM_TEST_SHARDS=15 2025-09-07T07:35:29.5511236Z UCX_HOME=/usr 2025-09-07T07:35:29.5511710Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_52a65953-c4f9-48de-a549-df7423aa3957 2025-09-07T07:35:29.5512559Z JOB_NAME=linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:35:29.5513378Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_52a65953-c4f9-48de-a549-df7423aa3957 2025-09-07T07:35:29.5514065Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:35:29.5514489Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:35:29.5515026Z DASHBOARD_TAG=training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true 2025-09-07T07:35:29.5515591Z GITHUB_RUN_ID=17525321311 2025-09-07T07:35:29.5515798Z INSTALLED_OPENBLAS=yes 2025-09-07T07:35:29.5516332Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_52a65953-c4f9-48de-a549-df7423aa3957 2025-09-07T07:35:29.5516915Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:35:29.5517134Z PR_NUMBER= 2025-09-07T07:35:29.5517295Z DESIRED_CUDA= 2025-09-07T07:35:29.5517474Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:35:29.5517668Z VALGRIND=ON 2025-09-07T07:35:29.5517852Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T07:35:29.5518127Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:35:29.5518642Z TERM=vt100 2025-09-07T07:35:29.5518824Z INSTALLED_VISION=yes 2025-09-07T07:35:29.5519016Z BRANCH=main 2025-09-07T07:35:29.5519187Z SCCACHE_REGION=us-east-1 2025-09-07T07:35:29.5519405Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:35:29.5519636Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:35:29.5520077Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:35:29.5520563Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:35:29.5520806Z UCC_COMMIT= 2025-09-07T07:35:29.5520971Z REENABLED_ISSUES= 2025-09-07T07:35:29.5521146Z DOCS= 2025-09-07T07:35:29.5521291Z SHLVL=1 2025-09-07T07:35:29.5521445Z MAX_JOBS=62 2025-09-07T07:35:29.5521617Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:35:29.5521899Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:29.5522209Z GITHUB_REF_NAME=main 2025-09-07T07:35:29.5522667Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:35:29.5523022Z GITHUB_JOB=test 2025-09-07T07:35:29.5523207Z NO_TEST_TIMEOUT=False 2025-09-07T07:35:29.5523403Z TD_DISTRIBUTED=False 2025-09-07T07:35:29.5523616Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:35:29.5523862Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:35:29.5524070Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:35:29.5524283Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:35:29.5524943Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T07:35:29.5525624Z GITHUB_BASE_REF= 2025-09-07T07:35:29.5525808Z INSTALLED_ACL=yes 2025-09-07T07:35:29.5526228Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354804 2025-09-07T07:35:29.5526696Z CI=true 2025-09-07T07:35:29.5526873Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:35:29.5527143Z RUST_LOG=sccache::server=error 2025-09-07T07:35:29.5527365Z JOB_ID=49775354804 2025-09-07T07:35:29.5527549Z GITHUB_HEAD_REF= 2025-09-07T07:35:29.5527736Z GITHUB_ACTION_REF= 2025-09-07T07:35:29.5527976Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:35:29.5528263Z TEST_SHOWLOCALS=False 2025-09-07T07:35:29.5528509Z GITHUB_WORKFLOW=inductor-perf-nightly-aarch64 2025-09-07T07:35:29.5528804Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:35:29.5529333Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_52a65953-c4f9-48de-a549-df7423aa3957 2025-09-07T07:35:29.5529858Z NO_TD=False 2025-09-07T07:35:29.5530040Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:35:29.5530289Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:35:29.5530540Z _=/usr/bin/env 2025-09-07T07:35:29.5530719Z + echo 'Testing pytorch' 2025-09-07T07:35:29.5530921Z Testing pytorch 2025-09-07T07:35:29.5531266Z + export LANG=C.UTF-8 2025-09-07T07:35:29.5531468Z + LANG=C.UTF-8 2025-09-07T07:35:29.5531661Z + PR_NUMBER= 2025-09-07T07:35:29.5531923Z + [[ inductor_torchbench_perf_cpu_aarch64 == \d\e\f\a\u\l\t ]] 2025-09-07T07:35:29.5532348Z + [[ inductor_torchbench_perf_cpu_aarch64 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T07:35:29.5532742Z + [[ inductor_torchbench_perf_cpu_aarch64 == \s\l\o\w ]] 2025-09-07T07:35:29.5533085Z + [[ linux-jammy-aarch64-py3.10 == *slow-gradcheck* ]] 2025-09-07T07:35:29.5533403Z + [[ linux-jammy-aarch64-py3.10 == *cuda* ]] 2025-09-07T07:35:29.5533692Z + [[ linux-jammy-aarch64-py3.10 == *rocm* ]] 2025-09-07T07:35:29.5533977Z + [[ linux-jammy-aarch64-py3.10 == *xpu* ]] 2025-09-07T07:35:29.5534297Z + [[ inductor_torchbench_perf_cpu_aarch64 == *crossref* ]] 2025-09-07T07:35:29.5534622Z + [[ linux-jammy-aarch64-py3.10 == *rocm* ]] 2025-09-07T07:35:29.5534908Z + [[ linux-jammy-aarch64-py3.10 == *xpu* ]] 2025-09-07T07:35:29.5535201Z + [[ linux-jammy-aarch64-py3.10 != *-bazel-* ]] 2025-09-07T07:35:29.5535482Z + pip_install ninja==1.10.2 2025-09-07T07:35:29.5535782Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T07:35:29.5536184Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T07:35:31.3788808Z Collecting ninja==1.10.2 2025-09-07T07:35:31.3957978Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.metadata (5.0 kB) 2025-09-07T07:35:31.4600653Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (119 kB) 2025-09-07T07:35:32.5553748Z Installing collected packages: ninja 2025-09-07T07:35:32.5555266Z Attempting uninstall: ninja 2025-09-07T07:35:32.5567223Z Found existing installation: ninja 1.11.1.3 2025-09-07T07:35:32.5589325Z Uninstalling ninja-1.11.1.3: 2025-09-07T07:35:32.5651629Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T07:35:32.6174276Z Successfully installed ninja-1.10.2 2025-09-07T07:35:32.6878508Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T07:35:32.6880243Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T07:35:32.6881096Z + [[ linux-jammy-aarch64-py3.10 == *aarch64* ]] 2025-09-07T07:35:32.6881370Z + export VALGRIND=OFF 2025-09-07T07:35:32.6881568Z + VALGRIND=OFF 2025-09-07T07:35:32.6881776Z + [[ linux-jammy-aarch64-py3.10 == *asan* ]] 2025-09-07T07:35:32.6882073Z + [[ linux-jammy-aarch64-py3.10 == *-debug* ]] 2025-09-07T07:35:32.6882368Z + [[ linux-jammy-aarch64-py3.10 != *-bazel-* ]] 2025-09-07T07:35:32.6882810Z + echo 'We are not in debug mode: linux-jammy-aarch64-py3.10. Expect the assertion to pass' 2025-09-07T07:35:32.6883358Z We are not in debug mode: linux-jammy-aarch64-py3.10. Expect the assertion to pass 2025-09-07T07:35:32.6883739Z + cd test 2025-09-07T07:35:32.6884028Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T07:35:33.0195140Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:35:33.0196286Z import pynvml # type: ignore[import] 2025-09-07T07:35:34.1285936Z + [[ inductor_torchbench_perf_cpu_aarch64 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T07:35:34.1286412Z + [[ inductor_torchbench_perf_cpu_aarch64 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T07:35:34.1286903Z + [[ inductor_torchbench_perf_cpu_aarch64 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T07:35:34.1289736Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T07:35:34.1290391Z + [[ inductor_torchbench_perf_cpu_aarch64 == *pr_time_benchmarks* ]] 2025-09-07T07:35:34.1290834Z + [[ inductor_torchbench_perf_cpu_aarch64 == *dynamo_eager* ]] 2025-09-07T07:35:34.1291217Z + [[ inductor_torchbench_perf_cpu_aarch64 == *aot_eager* ]] 2025-09-07T07:35:34.1291620Z + [[ inductor_torchbench_perf_cpu_aarch64 == *aot_inductor* ]] 2025-09-07T07:35:34.1292051Z + [[ inductor_torchbench_perf_cpu_aarch64 == *max_autotune_inductor* ]] 2025-09-07T07:35:34.1292471Z + [[ inductor_torchbench_perf_cpu_aarch64 == *inductor* ]] 2025-09-07T07:35:34.1292813Z + [[ inductor_torchbench_perf_cpu_aarch64 != *perf* ]] 2025-09-07T07:35:34.1293162Z + [[ inductor_torchbench_perf_cpu_aarch64 == *dynamic* ]] 2025-09-07T07:35:34.1293503Z + [[ inductor_torchbench_perf_cpu_aarch64 == *cpu* ]] 2025-09-07T07:35:34.1293826Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-09-07T07:35:34.1314656Z + [[ linux-jammy-aarch64-py3.10 == *libtorch* ]] 2025-09-07T07:35:34.1314975Z + [[ linux-jammy-aarch64-py3.10 == *-bazel-* ]] 2025-09-07T07:35:34.1317448Z + cd test 2025-09-07T07:35:34.1318007Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T07:35:34.4545258Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:35:34.4546436Z import pynvml # type: ignore[import] 2025-09-07T07:35:35.3151077Z PyTorch built with: 2025-09-07T07:35:35.3151291Z - GCC 11.4 2025-09-07T07:35:35.3151469Z - C++ Version: 201703 2025-09-07T07:35:35.3151790Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:35:35.3152159Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:35:35.3152443Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T07:35:35.3152712Z - NNPACK is enabled 2025-09-07T07:35:35.3152926Z - CPU capability usage: SVE256 2025-09-07T07:35:35.3157133Z - Build settings: BLAS_INFO=open, BUILD_TYPE=Release, COMMIT_SHA=93fb23d6fae7c4e82c4239a1033e522088742634, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_PYTORCH_QNNPACK -DAT_BUILD_ARM_VEC256_WITH_SLEEF -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=open, TORCH_VERSION=2.9.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_EIGEN_FOR_BLAS=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=OFF, USE_MKLDNN=1, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-09-07T07:35:35.3161686Z 2025-09-07T07:35:35.5306599Z + cd test 2025-09-07T07:35:35.5307072Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T07:35:35.8568506Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:35:35.8569649Z import pynvml # type: ignore[import] 2025-09-07T07:35:36.7296281Z ATen/Parallel: 2025-09-07T07:35:36.7296537Z at::get_num_threads() : 64 2025-09-07T07:35:36.7296787Z at::get_num_interop_threads() : 64 2025-09-07T07:35:36.7297039Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:35:36.7297281Z omp_get_max_threads() : 64 2025-09-07T07:35:36.7297604Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:35:36.7297981Z std::thread::hardware_concurrency() : 64 2025-09-07T07:35:36.7298246Z Environment variables: 2025-09-07T07:35:36.7298479Z OMP_NUM_THREADS : [not set] 2025-09-07T07:35:36.7298712Z ATen parallel backend: OpenMP 2025-09-07T07:35:36.7298875Z 2025-09-07T07:35:36.9489600Z + [[ inductor_torchbench_perf_cpu_aarch64 == *numpy_2* ]] 2025-09-07T07:35:36.9489956Z + [[ linux-jammy-aarch64-py3.10 == *aarch64* ]] 2025-09-07T07:35:36.9490326Z + [[ inductor_torchbench_perf_cpu_aarch64 != *perf_cpu_aarch64* ]] 2025-09-07T07:35:36.9490717Z + [[ inductor_torchbench_perf_cpu_aarch64 == *backward* ]] 2025-09-07T07:35:36.9491058Z + [[ inductor_torchbench_perf_cpu_aarch64 == *xla* ]] 2025-09-07T07:35:36.9491393Z + [[ inductor_torchbench_perf_cpu_aarch64 == *vllm* ]] 2025-09-07T07:35:36.9491748Z + [[ inductor_torchbench_perf_cpu_aarch64 == *executorch* ]] 2025-09-07T07:35:36.9492164Z + [[ inductor_torchbench_perf_cpu_aarch64 == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T07:35:36.9492531Z + [[ linux-jammy-aarch64-py3.10 == *libtorch* ]] 2025-09-07T07:35:36.9492876Z + [[ inductor_torchbench_perf_cpu_aarch64 == distributed ]] 2025-09-07T07:35:36.9493282Z + [[ inductor_torchbench_perf_cpu_aarch64 == *operator_benchmark* ]] 2025-09-07T07:35:36.9493987Z + [[ inductor_torchbench_perf_cpu_aarch64 == *inductor_distributed* ]] 2025-09-07T07:35:36.9494453Z + [[ inductor_torchbench_perf_cpu_aarch64 == *inductor-halide* ]] 2025-09-07T07:35:36.9494883Z + [[ inductor_torchbench_perf_cpu_aarch64 == *inductor-triton-cpu* ]] 2025-09-07T07:35:36.9495350Z + [[ inductor_torchbench_perf_cpu_aarch64 == *inductor-micro-benchmark* ]] 2025-09-07T07:35:36.9495787Z + [[ inductor_torchbench_perf_cpu_aarch64 == *huggingface* ]] 2025-09-07T07:35:36.9496152Z + [[ inductor_torchbench_perf_cpu_aarch64 == *timm* ]] 2025-09-07T07:35:36.9496497Z + [[ inductor_torchbench_perf_cpu_aarch64 == cachebench ]] 2025-09-07T07:35:36.9496882Z + [[ inductor_torchbench_perf_cpu_aarch64 == verify_cachebench ]] 2025-09-07T07:35:36.9497278Z + [[ inductor_torchbench_perf_cpu_aarch64 == *torchbench* ]] 2025-09-07T07:35:36.9497585Z + install_torchaudio 2025-09-07T07:35:36.9497770Z + local commit 2025-09-07T07:35:36.9498145Z ++ get_pinned_commit audio 2025-09-07T07:35:36.9498379Z ++ cat .github/ci_commit_pins/audio.txt 2025-09-07T07:35:36.9515403Z + commit=2e300559e4e123928a22187b8f59a5b56f57ddc8 2025-09-07T07:35:36.9525890Z + pip_build_and_install git+https://github.com/pytorch/audio.git@2e300559e4e123928a22187b8f59a5b56f57ddc8 dist/audio 2025-09-07T07:35:36.9526640Z + local build_target=git+https://github.com/pytorch/audio.git@2e300559e4e123928a22187b8f59a5b56f57ddc8 2025-09-07T07:35:36.9527111Z + local wheel_dir=dist/audio 2025-09-07T07:35:36.9527330Z + local found_whl=0 2025-09-07T07:35:36.9527529Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:35:36.9527906Z + [[ -f dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_aarch64.whl ]] 2025-09-07T07:35:36.9528279Z + found_whl=1 2025-09-07T07:35:36.9528440Z + break 2025-09-07T07:35:36.9528590Z + '[' 1 == 0 ']' 2025-09-07T07:35:36.9528781Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:35:36.9529180Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:36.9529751Z + args=('dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_aarch64.whl') 2025-09-07T07:35:36.9530128Z + local args 2025-09-07T07:35:36.9530460Z + [[ dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_aarch64.whl == *\ * ]] 2025-09-07T07:35:36.9530858Z + for path in "${args[@]}" 2025-09-07T07:35:36.9531245Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_aarch64.whl' 2025-09-07T07:35:36.9531816Z Installing dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:36.9532470Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:37.3235072Z Processing ./dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:37.3305358Z Installing collected packages: torchaudio 2025-09-07T07:35:37.5255640Z Successfully installed torchaudio-2.8.0a0+2e30055 2025-09-07T07:35:37.5636532Z + install_torchvision 2025-09-07T07:35:37.5636792Z + local orig_preload 2025-09-07T07:35:37.5636989Z + local commit 2025-09-07T07:35:37.5639946Z ++ get_pinned_commit vision 2025-09-07T07:35:37.5640198Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T07:35:37.5650018Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T07:35:37.5650290Z + orig_preload= 2025-09-07T07:35:37.5650478Z + '[' -n '' ']' 2025-09-07T07:35:37.5650684Z + [[ linux-jammy-aarch64-py3.10 == *cuda* ]] 2025-09-07T07:35:37.5651252Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T07:35:37.5652017Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T07:35:37.5652492Z + local wheel_dir=dist/vision 2025-09-07T07:35:37.5652720Z + local found_whl=0 2025-09-07T07:35:37.5652936Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:35:37.5653337Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl ]] 2025-09-07T07:35:37.5653729Z + found_whl=1 2025-09-07T07:35:37.5653892Z + break 2025-09-07T07:35:37.5654108Z + '[' 1 == 0 ']' 2025-09-07T07:35:37.5654567Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:35:37.5654997Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:37.5655571Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl') 2025-09-07T07:35:37.5655957Z + local args 2025-09-07T07:35:37.5656295Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl == *\ * ]] 2025-09-07T07:35:37.5656709Z + for path in "${args[@]}" 2025-09-07T07:35:37.5657110Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl' 2025-09-07T07:35:37.5657709Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:37.5658395Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:37.9385777Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:37.9483820Z Installing collected packages: torchvision 2025-09-07T07:35:38.4778320Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T07:35:38.5146719Z + '[' -n '' ']' 2025-09-07T07:35:38.5146915Z + id=13 2025-09-07T07:35:38.5147107Z + pip_install opencv-python==4.8.0.74 2025-09-07T07:35:38.5147446Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T07:35:38.5147876Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74 2025-09-07T07:35:39.0149925Z Collecting opencv-python==4.8.0.74 2025-09-07T07:35:39.0454902Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.metadata (19 kB) 2025-09-07T07:35:39.0558415Z Requirement already satisfied: numpy>=1.21.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opencv-python==4.8.0.74) (1.22.4) 2025-09-07T07:35:39.0686354Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (41.0 MB) 2025-09-07T07:35:40.3639084Z Installing collected packages: opencv-python 2025-09-07T07:35:40.3640393Z Attempting uninstall: opencv-python 2025-09-07T07:35:40.3655385Z Found existing installation: opencv-python 4.11.0.86 2025-09-07T07:35:40.3737903Z Uninstalling opencv-python-4.11.0.86: 2025-09-07T07:35:40.4396030Z Successfully uninstalled opencv-python-4.11.0.86 2025-09-07T07:35:40.9862915Z Successfully installed opencv-python-4.8.0.74 2025-09-07T07:35:41.0693785Z + [[ inductor_torchbench_perf_cpu_aarch64 == *inductor_torchbench_smoketest_perf* ]] 2025-09-07T07:35:41.0694341Z + [[ inductor_torchbench_perf_cpu_aarch64 == *inductor_torchbench_cpu_smoketest_perf* ]] 2025-09-07T07:35:41.0694856Z + [[ inductor_torchbench_perf_cpu_aarch64 == *torchbench_gcp_smoketest* ]] 2025-09-07T07:35:41.0695261Z + [[ inductor_torchbench_perf_cpu_aarch64 != *cpu* ]] 2025-09-07T07:35:41.0695564Z + PYTHONPATH=/torchbench 2025-09-07T07:35:41.0695818Z + test_dynamo_benchmark torchbench 13 2025-09-07T07:35:41.0698197Z ++ pwd 2025-09-07T07:35:41.0699796Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:41.0700141Z + local suite=torchbench 2025-09-07T07:35:41.0700353Z + shift 2025-09-07T07:35:41.0700514Z + local shard_id=13 2025-09-07T07:35:41.0700688Z + shift 2025-09-07T07:35:41.0700931Z + [[ inductor_torchbench_perf_cpu_aarch64 == *perf_compare* ]] 2025-09-07T07:35:41.0701304Z + [[ inductor_torchbench_perf_cpu_aarch64 == *perf* ]] 2025-09-07T07:35:41.0701644Z + [[ inductor_torchbench_perf_cpu_aarch64 == *b200* ]] 2025-09-07T07:35:41.0701988Z + test_single_dynamo_benchmark dashboard torchbench 13 2025-09-07T07:35:41.0703560Z ++ pwd 2025-09-07T07:35:41.0705230Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:41.0705629Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:41.0720159Z + local name=dashboard 2025-09-07T07:35:41.0720349Z + shift 2025-09-07T07:35:41.0720529Z + local suite=torchbench 2025-09-07T07:35:41.0720726Z + shift 2025-09-07T07:35:41.0720884Z + local shard_id=13 2025-09-07T07:35:41.0721375Z + shift 2025-09-07T07:35:41.0721567Z + partition_flags=() 2025-09-07T07:35:41.0721771Z + local partition_flags 2025-09-07T07:35:41.0721972Z + [[ -n 15 ]] 2025-09-07T07:35:41.0722136Z + [[ -n 13 ]] 2025-09-07T07:35:41.0722477Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T07:35:41.0722971Z + [[ inductor_torchbench_perf_cpu_aarch64 == *perf_compare* ]] 2025-09-07T07:35:41.0723346Z + [[ inductor_torchbench_perf_cpu_aarch64 == *perf* ]] 2025-09-07T07:35:41.0723812Z + test_perf_for_dashboard torchbench --device cpu --total-partitions 15 --partition-id 13 2025-09-07T07:35:41.0724226Z ++ pwd 2025-09-07T07:35:41.0725796Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:41.0737920Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:41.0738223Z + local suite=torchbench 2025-09-07T07:35:41.0738651Z + shift 2025-09-07T07:35:41.0738817Z + local backend=inductor 2025-09-07T07:35:41.0739024Z + modes=() 2025-09-07T07:35:41.0739182Z + local modes 2025-09-07T07:35:41.0739736Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *training-true* ]] 2025-09-07T07:35:41.0740721Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *inference-true* ]] 2025-09-07T07:35:41.0741334Z + modes+=(inference) 2025-09-07T07:35:41.0741548Z + targets=('accuracy' 'performance') 2025-09-07T07:35:41.0741782Z + local targets 2025-09-07T07:35:41.0741959Z + local device=cuda 2025-09-07T07:35:41.0742198Z + [[ inductor_torchbench_perf_cpu_aarch64 == *cpu* ]] 2025-09-07T07:35:41.0742554Z + [[ inductor_torchbench_perf_cpu_aarch64 == *cpu_x86_zen* ]] 2025-09-07T07:35:41.0742924Z + [[ inductor_torchbench_perf_cpu_aarch64 == *cpu_x86* ]] 2025-09-07T07:35:41.0743291Z + [[ inductor_torchbench_perf_cpu_aarch64 == *cpu_aarch64* ]] 2025-09-07T07:35:41.0743609Z + device=cpu_aarch64 2025-09-07T07:35:41.0743815Z + test_inductor_set_cpu_affinity 2025-09-07T07:35:41.0744073Z ++ find /usr/lib -name libjemalloc.so.2 2025-09-07T07:35:41.0920760Z + JEMALLOC_LIB=/usr/lib/aarch64-linux-gnu/libjemalloc.so.2 2025-09-07T07:35:41.0921168Z + export LD_PRELOAD=/usr/lib/aarch64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:35:41.0921561Z + LD_PRELOAD=/usr/lib/aarch64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:35:41.0922146Z + export MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:35:41.0922911Z + MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:35:41.0923466Z + [[ inductor_torchbench_perf_cpu_aarch64 != *aarch64* ]] 2025-09-07T07:35:41.0924241Z ++ nproc 2025-09-07T07:35:41.0944647Z + cpus=64 2025-09-07T07:35:41.0949506Z ++ lscpu 2025-09-07T07:35:41.0950371Z ++ grep 'Thread(s) per core:' 2025-09-07T07:35:41.0951386Z ++ awk '{print $4}' 2025-09-07T07:35:41.1186458Z + thread_per_core=1 2025-09-07T07:35:41.1186645Z + cores=64 2025-09-07T07:35:41.1186883Z + [[ inductor_torchbench_perf_cpu_aarch64 == *aarch64* ]] 2025-09-07T07:35:41.1187177Z + [[ 64 -gt 16 ]] 2025-09-07T07:35:41.1187352Z + cores=16 2025-09-07T07:35:41.1187527Z + export OMP_NUM_THREADS=16 2025-09-07T07:35:41.1187738Z + OMP_NUM_THREADS=16 2025-09-07T07:35:41.1190619Z ++ python -c 'import os; print(min(os.sched_getaffinity(0)))' 2025-09-07T07:35:41.1497956Z + start_cpu=0 2025-09-07T07:35:41.1500836Z ++ python -c 'import os; print(max(os.sched_getaffinity(0)))' 2025-09-07T07:35:41.1810020Z + end_cpu=62 2025-09-07T07:35:41.1810226Z + export 'TASKSET=taskset -c 0-62' 2025-09-07T07:35:41.1810475Z + TASKSET='taskset -c 0-62' 2025-09-07T07:35:41.1810704Z + for mode in "${modes[@]}" 2025-09-07T07:35:41.1810931Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T07:35:41.1811185Z + [[ cpu_aarch64 == \c\p\u\_\x\8\6 ]] 2025-09-07T07:35:41.1811420Z + dtype=bfloat16 2025-09-07T07:35:41.1811626Z + for target in "${targets[@]}" 2025-09-07T07:35:41.1811865Z + target_flag=('--accuracy') 2025-09-07T07:35:41.1812346Z + local target_flag 2025-09-07T07:35:41.1812576Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T07:35:41.1812842Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T07:35:41.1813113Z + target_flag+=(--no-translation-validation) 2025-09-07T07:35:41.1813761Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *freezing-true* ]] 2025-09-07T07:35:41.1814730Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *default-true* ]] 2025-09-07T07:35:41.1816458Z + taskset -c 0-62 python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --inference --bfloat16 --backend inductor --disable-cudagraphs --device cpu --total-partitions 15 --partition-id 13 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_accuracy.csv 2025-09-07T07:35:41.5114349Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:35:41.5115480Z import pynvml # type: ignore[import] 2025-09-07T07:35:44.4999433Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:35:44.5000590Z import pynvml # type: ignore[import] 2025-09-07T07:35:47.1215147Z 2025-09-07T07:35:49.4159398Z loading model: 0it [00:00, ?it/s]Traceback (most recent call last): 2025-09-07T07:35:49.4160014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 400, in __call__ 2025-09-07T07:35:49.4160667Z return super(self.cls, obj).__call__(*args, **kwargs) # type: ignore[misc] 2025-09-07T07:35:49.4161330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T07:35:49.4161917Z return self._call_impl(*args, **kwargs) 2025-09-07T07:35:49.4162435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T07:35:49.4162955Z return forward_call(*args, **kwargs) 2025-09-07T07:35:49.4163232Z File ".6", line 7, in forward 2025-09-07T07:35:49.4163913Z quantize_per_tensor = torch.quantize_per_tensor(x, conv1_input_scale_0, conv1_input_zero_point_0, torch.quint8); x = conv1_input_scale_0 = conv1_input_zero_point_0 = None 2025-09-07T07:35:49.4164668Z RuntimeError: Quantize only works on Float Tensor, got BFloat16 2025-09-07T07:35:49.4164935Z 2025-09-07T07:35:49.4165169Z Call using an FX-traced Module, line 7 of the traced Module's generated forward function: 2025-09-07T07:35:49.4165653Z conv1_input_zero_point_0 = self.conv1_input_zero_point_0 2025-09-07T07:35:49.4166376Z quantize_per_tensor = torch.quantize_per_tensor(x, conv1_input_scale_0, conv1_input_zero_point_0, torch.quint8); x = conv1_input_scale_0 = conv1_input_zero_point_0 = None 2025-09-07T07:35:49.4166968Z 2025-09-07T07:35:49.4167201Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE 2025-09-07T07:35:49.4167704Z conv1 = self.conv1(quantize_per_tensor); quantize_per_tensor = None 2025-09-07T07:35:49.4167983Z 2025-09-07T07:35:49.4168097Z maxpool = self.maxpool(conv1); conv1 = None 2025-09-07T07:35:49.4168300Z 2025-09-07T07:35:49.4168305Z 2025-09-07T07:35:49.4168386Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:35:49.4168652Z cpu eval resnet50_quantized_qat 2025-09-07T07:35:49.4168942Z Traceback (most recent call last): 2025-09-07T07:35:49.4169726Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T07:35:49.4170225Z self.model_iter_fn(model, example_inputs) 2025-09-07T07:35:49.4170709Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:35:49.4171163Z return mod(*inputs) 2025-09-07T07:35:49.4171624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 837, in call_wrapped 2025-09-07T07:35:49.4172172Z return self._wrapped_call(self, *args, **kwargs) 2025-09-07T07:35:49.4172692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 411, in __call__ 2025-09-07T07:35:49.4173206Z raise e.with_traceback(None) # noqa: B904 2025-09-07T07:35:49.4173569Z RuntimeError: Quantize only works on Float Tensor, got BFloat16 2025-09-07T07:35:49.4173832Z 2025-09-07T07:35:49.4174193Z The above exception was the direct cause of the following exception: 2025-09-07T07:35:49.4174469Z 2025-09-07T07:35:49.4174566Z Traceback (most recent call last): 2025-09-07T07:35:49.4174966Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T07:35:49.4175377Z ) = runner.load_model( 2025-09-07T07:35:49.4175791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T07:35:49.4176267Z self.validate_model(model, example_inputs) 2025-09-07T07:35:49.4176740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T07:35:49.4177227Z raise RuntimeError("Eager run failed") from e 2025-09-07T07:35:49.4177516Z RuntimeError: Eager run failed 2025-09-07T07:35:49.4177670Z 2025-09-07T07:35:49.4177742Z eager_fail_to_run 2025-09-07T07:35:50.4193188Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:35:50.4194355Z import pynvml # type: ignore[import] 2025-09-07T07:35:53.0307669Z 2025-09-07T07:35:53.5415727Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/resnext50_32x4d-7cdf4587.pth 2025-09-07T07:35:53.5553560Z 2025-09-07T07:35:53.5553988Z 2025-09-07T07:35:53.6557256Z 0% 0.00/95.8M [00:00.6", line 7, in forward 2025-09-07T07:36:46.0279268Z quantize_per_tensor = torch.quantize_per_tensor(x, conv1_input_scale_0, conv1_input_zero_point_0, torch.quint8); x = conv1_input_scale_0 = conv1_input_zero_point_0 = None 2025-09-07T07:36:46.0280405Z RuntimeError: Quantize only works on Float Tensor, got BFloat16 2025-09-07T07:36:46.0280716Z 2025-09-07T07:36:46.0280950Z Call using an FX-traced Module, line 7 of the traced Module's generated forward function: 2025-09-07T07:36:46.0281426Z conv1_input_zero_point_0 = self.conv1_input_zero_point_0 2025-09-07T07:36:46.0282142Z quantize_per_tensor = torch.quantize_per_tensor(x, conv1_input_scale_0, conv1_input_zero_point_0, torch.quint8); x = conv1_input_scale_0 = conv1_input_zero_point_0 = None 2025-09-07T07:36:46.0282724Z 2025-09-07T07:36:46.0282949Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE 2025-09-07T07:36:46.0283439Z conv1 = self.conv1(quantize_per_tensor); quantize_per_tensor = None 2025-09-07T07:36:46.0283713Z 2025-09-07T07:36:46.0284012Z maxpool = self.maxpool(conv1); conv1 = None 2025-09-07T07:36:46.0284222Z 2025-09-07T07:36:46.0284232Z 2025-09-07T07:36:46.0284317Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:36:46.0284583Z cpu eval resnet50_quantized_qat 2025-09-07T07:36:46.0284868Z Traceback (most recent call last): 2025-09-07T07:36:46.0285317Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T07:36:46.0285798Z self.model_iter_fn(model, example_inputs) 2025-09-07T07:36:46.0286274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:36:46.0286724Z return mod(*inputs) 2025-09-07T07:36:46.0287185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 837, in call_wrapped 2025-09-07T07:36:46.0287732Z return self._wrapped_call(self, *args, **kwargs) 2025-09-07T07:36:46.0288255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 411, in __call__ 2025-09-07T07:36:46.0288767Z raise e.with_traceback(None) # noqa: B904 2025-09-07T07:36:46.0289129Z RuntimeError: Quantize only works on Float Tensor, got BFloat16 2025-09-07T07:36:46.0289394Z 2025-09-07T07:36:46.0289576Z The above exception was the direct cause of the following exception: 2025-09-07T07:36:46.0289853Z 2025-09-07T07:36:46.0289941Z Traceback (most recent call last): 2025-09-07T07:36:46.0290347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T07:36:46.0290758Z ) = runner.load_model( 2025-09-07T07:36:46.0291167Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T07:36:46.0291641Z self.validate_model(model, example_inputs) 2025-09-07T07:36:46.0292113Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T07:36:46.0292594Z raise RuntimeError("Eager run failed") from e 2025-09-07T07:36:46.0292887Z RuntimeError: Eager run failed 2025-09-07T07:36:46.0293041Z 2025-09-07T07:36:46.0293110Z eager_fail_to_run 2025-09-07T07:36:47.1273424Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:36:47.1274652Z import pynvml # type: ignore[import] 2025-09-07T07:36:49.7438689Z 2025-09-07T07:36:50.9373254Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:36:50.9373544Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:36:50.9450526Z cpu eval resnext50_32x4d 2025-09-07T07:36:51.6252619Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:36:52.6446293Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:36:53.6603218Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:37:01.0510481Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0510812Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0511081Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0511357Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0511626Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0511897Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0512165Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0512429Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0512695Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0512968Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0513232Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0513492Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0513758Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0514026Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0514495Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0514766Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0515047Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0515337Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0515655Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0516199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0516666Z return mod(*inputs) 2025-09-07T07:37:01.0517135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0517653Z return self._forward_impl(x) 2025-09-07T07:37:01.0518169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl 2025-09-07T07:37:01.0518695Z x = self.conv1(x) 2025-09-07T07:37:01.0518821Z 2025-09-07T07:37:01.0518966Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0519481Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0519944Z return mod(*inputs) 2025-09-07T07:37:01.0520405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0520916Z return self._forward_impl(x) 2025-09-07T07:37:01.0521430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl 2025-09-07T07:37:01.0521951Z x = self.relu(x) 2025-09-07T07:37:01.0522078Z 2025-09-07T07:37:01.0522212Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0522728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0523186Z return mod(*inputs) 2025-09-07T07:37:01.0523645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0524164Z return self._forward_impl(x) 2025-09-07T07:37:01.0524689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl 2025-09-07T07:37:01.0525218Z x = self.maxpool(x) 2025-09-07T07:37:01.0525350Z 2025-09-07T07:37:01.0525613Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0526128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0526583Z return mod(*inputs) 2025-09-07T07:37:01.0527046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0527554Z return self._forward_impl(x) 2025-09-07T07:37:01.0528063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:37:01.0528584Z x = self.layer1(x) 2025-09-07T07:37:01.0529044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:37:01.0529684Z out = self.conv1(x) 2025-09-07T07:37:01.0529827Z 2025-09-07T07:37:01.0529965Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0530474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0530932Z return mod(*inputs) 2025-09-07T07:37:01.0531389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0531898Z return self._forward_impl(x) 2025-09-07T07:37:01.0532405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:37:01.0532921Z x = self.layer1(x) 2025-09-07T07:37:01.0533377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:37:01.0533973Z out = self.relu(out) 2025-09-07T07:37:01.0534110Z 2025-09-07T07:37:01.0534251Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0534763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0535221Z return mod(*inputs) 2025-09-07T07:37:01.0535682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0536188Z return self._forward_impl(x) 2025-09-07T07:37:01.0536696Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:37:01.0537223Z x = self.layer1(x) 2025-09-07T07:37:01.0537679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:37:01.0538184Z out = self.conv2(out) 2025-09-07T07:37:01.0538322Z 2025-09-07T07:37:01.0538458Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0538979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0539439Z return mod(*inputs) 2025-09-07T07:37:01.0539898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0540410Z return self._forward_impl(x) 2025-09-07T07:37:01.0540925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:37:01.0541443Z x = self.layer1(x) 2025-09-07T07:37:01.0541899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:37:01.0542397Z out = self.relu(out) 2025-09-07T07:37:01.0542533Z 2025-09-07T07:37:01.0542669Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0543179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0543640Z return mod(*inputs) 2025-09-07T07:37:01.0544103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0544615Z return self._forward_impl(x) 2025-09-07T07:37:01.0545124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:37:01.0545643Z x = self.layer1(x) 2025-09-07T07:37:01.0546098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:37:01.0546595Z out = self.conv3(out) 2025-09-07T07:37:01.0546732Z 2025-09-07T07:37:01.0546866Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0547372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0547825Z return mod(*inputs) 2025-09-07T07:37:01.0548284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0548933Z return self._forward_impl(x) 2025-09-07T07:37:01.0549452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:37:01.0549968Z x = self.layer1(x) 2025-09-07T07:37:01.0550418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward 2025-09-07T07:37:01.0550926Z identity = self.downsample(x) 2025-09-07T07:37:01.0551090Z 2025-09-07T07:37:01.0551224Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0551732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0552185Z return mod(*inputs) 2025-09-07T07:37:01.0552645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0553152Z return self._forward_impl(x) 2025-09-07T07:37:01.0553775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:37:01.0554405Z x = self.layer1(x) 2025-09-07T07:37:01.0554858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:37:01.0555350Z out = self.conv1(x) 2025-09-07T07:37:01.0555481Z 2025-09-07T07:37:01.0555617Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0556123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0556577Z return mod(*inputs) 2025-09-07T07:37:01.0557031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0557537Z return self._forward_impl(x) 2025-09-07T07:37:01.0558045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:37:01.0558566Z x = self.layer1(x) 2025-09-07T07:37:01.0559023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:37:01.0559518Z out = self.relu(out) 2025-09-07T07:37:01.0559651Z 2025-09-07T07:37:01.0559784Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0560287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0560737Z return mod(*inputs) 2025-09-07T07:37:01.0561194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0561696Z return self._forward_impl(x) 2025-09-07T07:37:01.0562205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:37:01.0562721Z x = self.layer1(x) 2025-09-07T07:37:01.0563174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:37:01.0563679Z out = self.conv2(out) 2025-09-07T07:37:01.0563819Z 2025-09-07T07:37:01.0563956Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0564462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0564914Z return mod(*inputs) 2025-09-07T07:37:01.0565368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0565873Z return self._forward_impl(x) 2025-09-07T07:37:01.0566382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:37:01.0566896Z x = self.layer1(x) 2025-09-07T07:37:01.0567349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:37:01.0567845Z out = self.relu(out) 2025-09-07T07:37:01.0567986Z 2025-09-07T07:37:01.0568359Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0568892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0569341Z return mod(*inputs) 2025-09-07T07:37:01.0569798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0570301Z return self._forward_impl(x) 2025-09-07T07:37:01.0570809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:37:01.0571322Z x = self.layer1(x) 2025-09-07T07:37:01.0571772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:37:01.0572266Z out = self.conv3(out) 2025-09-07T07:37:01.0572405Z 2025-09-07T07:37:01.0572542Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0573185Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0573646Z return mod(*inputs) 2025-09-07T07:37:01.0574100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0574603Z return self._forward_impl(x) 2025-09-07T07:37:01.0575115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:37:01.0575630Z x = self.layer1(x) 2025-09-07T07:37:01.0576080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:37:01.0576576Z out = self.relu(out) 2025-09-07T07:37:01.0576712Z 2025-09-07T07:37:01.0576847Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0577351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0577809Z return mod(*inputs) 2025-09-07T07:37:01.0578269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0578777Z return self._forward_impl(x) 2025-09-07T07:37:01.0579290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:37:01.0579802Z x = self.layer1(x) 2025-09-07T07:37:01.0580254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:37:01.0580749Z out = self.conv1(x) 2025-09-07T07:37:01.0580877Z 2025-09-07T07:37:01.0581013Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0581516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0581970Z return mod(*inputs) 2025-09-07T07:37:01.0582423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0582933Z return self._forward_impl(x) 2025-09-07T07:37:01.0583451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:37:01.0583966Z x = self.layer1(x) 2025-09-07T07:37:01.0584418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:37:01.0584915Z out = self.relu(out) 2025-09-07T07:37:01.0585049Z 2025-09-07T07:37:01.0585188Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0585693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0586143Z return mod(*inputs) 2025-09-07T07:37:01.0586596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0587101Z return self._forward_impl(x) 2025-09-07T07:37:01.0587615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:37:01.0588248Z x = self.layer1(x) 2025-09-07T07:37:01.0588719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:37:01.0589216Z out = self.conv2(out) 2025-09-07T07:37:01.0589353Z 2025-09-07T07:37:01.0589487Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0589992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0590442Z return mod(*inputs) 2025-09-07T07:37:01.0590897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0591399Z return self._forward_impl(x) 2025-09-07T07:37:01.0591906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:37:01.0592511Z x = self.layer1(x) 2025-09-07T07:37:01.0592971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:37:01.0593463Z out = self.relu(out) 2025-09-07T07:37:01.0593595Z 2025-09-07T07:37:01.0593729Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0594232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0594681Z return mod(*inputs) 2025-09-07T07:37:01.0595135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0595640Z return self._forward_impl(x) 2025-09-07T07:37:01.0596150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:37:01.0596664Z x = self.layer1(x) 2025-09-07T07:37:01.0597114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:37:01.0597612Z out = self.conv3(out) 2025-09-07T07:37:01.0597765Z 2025-09-07T07:37:01.0597902Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0598407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0598857Z return mod(*inputs) 2025-09-07T07:37:01.0599311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0599815Z return self._forward_impl(x) 2025-09-07T07:37:01.0600321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:37:01.0600836Z x = self.layer1(x) 2025-09-07T07:37:01.0601289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:37:01.0601786Z out = self.relu(out) 2025-09-07T07:37:01.0601926Z 2025-09-07T07:37:01.0602062Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0602570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0603021Z return mod(*inputs) 2025-09-07T07:37:01.0603475Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0603977Z return self._forward_impl(x) 2025-09-07T07:37:01.0604486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0604999Z x = self.layer2(x) 2025-09-07T07:37:01.0605450Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:37:01.0605946Z out = self.conv1(x) 2025-09-07T07:37:01.0606075Z 2025-09-07T07:37:01.0606211Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0606716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0607304Z return mod(*inputs) 2025-09-07T07:37:01.0607801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0608304Z return self._forward_impl(x) 2025-09-07T07:37:01.0608810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0609322Z x = self.layer2(x) 2025-09-07T07:37:01.0609771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:37:01.0610263Z out = self.relu(out) 2025-09-07T07:37:01.0610398Z 2025-09-07T07:37:01.0610534Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0611039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0611489Z return mod(*inputs) 2025-09-07T07:37:01.0612033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0612537Z return self._forward_impl(x) 2025-09-07T07:37:01.0613042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0613554Z x = self.layer2(x) 2025-09-07T07:37:01.0614001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:37:01.0614493Z out = self.conv2(out) 2025-09-07T07:37:01.0614627Z 2025-09-07T07:37:01.0614761Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0615268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0615714Z return mod(*inputs) 2025-09-07T07:37:01.0616167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0616673Z return self._forward_impl(x) 2025-09-07T07:37:01.0617187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0617704Z x = self.layer2(x) 2025-09-07T07:37:01.0618154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:37:01.0618647Z out = self.relu(out) 2025-09-07T07:37:01.0618781Z 2025-09-07T07:37:01.0618916Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0619426Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0619873Z return mod(*inputs) 2025-09-07T07:37:01.0620328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0620831Z return self._forward_impl(x) 2025-09-07T07:37:01.0621339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0621864Z x = self.layer2(x) 2025-09-07T07:37:01.0622319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:37:01.0622816Z out = self.conv3(out) 2025-09-07T07:37:01.0622954Z 2025-09-07T07:37:01.0623089Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0623599Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0624047Z return mod(*inputs) 2025-09-07T07:37:01.0624502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0625007Z return self._forward_impl(x) 2025-09-07T07:37:01.0625514Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0626026Z x = self.layer2(x) 2025-09-07T07:37:01.0626598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward 2025-09-07T07:37:01.0627119Z identity = self.downsample(x) 2025-09-07T07:37:01.0627286Z 2025-09-07T07:37:01.0627423Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0627932Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0628383Z return mod(*inputs) 2025-09-07T07:37:01.0628836Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0629340Z return self._forward_impl(x) 2025-09-07T07:37:01.0629848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0630359Z x = self.layer2(x) 2025-09-07T07:37:01.0630806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:37:01.0631397Z out = self.conv1(x) 2025-09-07T07:37:01.0631528Z 2025-09-07T07:37:01.0631669Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0632178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0632628Z return mod(*inputs) 2025-09-07T07:37:01.0633079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0633584Z return self._forward_impl(x) 2025-09-07T07:37:01.0634090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0634603Z x = self.layer2(x) 2025-09-07T07:37:01.0635052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:37:01.0635546Z out = self.relu(out) 2025-09-07T07:37:01.0635678Z 2025-09-07T07:37:01.0635818Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0636325Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0636777Z return mod(*inputs) 2025-09-07T07:37:01.0637229Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0637731Z return self._forward_impl(x) 2025-09-07T07:37:01.0638240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0638757Z x = self.layer2(x) 2025-09-07T07:37:01.0639206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:37:01.0639701Z out = self.conv2(out) 2025-09-07T07:37:01.0639838Z 2025-09-07T07:37:01.0639977Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0640487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0640937Z return mod(*inputs) 2025-09-07T07:37:01.0641397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0641904Z return self._forward_impl(x) 2025-09-07T07:37:01.0642414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0642926Z x = self.layer2(x) 2025-09-07T07:37:01.0643377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:37:01.0643875Z out = self.relu(out) 2025-09-07T07:37:01.0644009Z 2025-09-07T07:37:01.0644147Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0644655Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0645102Z return mod(*inputs) 2025-09-07T07:37:01.0645562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0646220Z return self._forward_impl(x) 2025-09-07T07:37:01.0646746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0647258Z x = self.layer2(x) 2025-09-07T07:37:01.0647707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:37:01.0648202Z out = self.conv3(out) 2025-09-07T07:37:01.0648337Z 2025-09-07T07:37:01.0648471Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0648979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0649427Z return mod(*inputs) 2025-09-07T07:37:01.0649877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0651170Z return self._forward_impl(x) 2025-09-07T07:37:01.0651687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0652202Z x = self.layer2(x) 2025-09-07T07:37:01.0652653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:37:01.0653146Z out = self.relu(out) 2025-09-07T07:37:01.0653279Z 2025-09-07T07:37:01.0653415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0654004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0654455Z return mod(*inputs) 2025-09-07T07:37:01.0654906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0655406Z return self._forward_impl(x) 2025-09-07T07:37:01.0655913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0656431Z x = self.layer2(x) 2025-09-07T07:37:01.0656885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:37:01.0657374Z out = self.conv1(x) 2025-09-07T07:37:01.0657501Z 2025-09-07T07:37:01.0657636Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0658139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0658584Z return mod(*inputs) 2025-09-07T07:37:01.0659037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0659537Z return self._forward_impl(x) 2025-09-07T07:37:01.0660046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0660560Z x = self.layer2(x) 2025-09-07T07:37:01.0661015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:37:01.0661513Z out = self.relu(out) 2025-09-07T07:37:01.0661648Z 2025-09-07T07:37:01.0662005Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0662514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0662962Z return mod(*inputs) 2025-09-07T07:37:01.0663416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0663919Z return self._forward_impl(x) 2025-09-07T07:37:01.0664427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0664942Z x = self.layer2(x) 2025-09-07T07:37:01.0665396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:37:01.0665895Z out = self.conv2(out) 2025-09-07T07:37:01.0666033Z 2025-09-07T07:37:01.0666360Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0666887Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0667336Z return mod(*inputs) 2025-09-07T07:37:01.0667793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0668346Z return self._forward_impl(x) 2025-09-07T07:37:01.0668854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0669369Z x = self.layer2(x) 2025-09-07T07:37:01.0669816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:37:01.0670310Z out = self.relu(out) 2025-09-07T07:37:01.0670444Z 2025-09-07T07:37:01.0670579Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0671246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0671698Z return mod(*inputs) 2025-09-07T07:37:01.0672155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0672660Z return self._forward_impl(x) 2025-09-07T07:37:01.0673170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0673687Z x = self.layer2(x) 2025-09-07T07:37:01.0674131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:37:01.0674627Z out = self.conv3(out) 2025-09-07T07:37:01.0674765Z 2025-09-07T07:37:01.0674899Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0675408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0675859Z return mod(*inputs) 2025-09-07T07:37:01.0676317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0676822Z return self._forward_impl(x) 2025-09-07T07:37:01.0677333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0677850Z x = self.layer2(x) 2025-09-07T07:37:01.0678297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:37:01.0678789Z out = self.relu(out) 2025-09-07T07:37:01.0678921Z 2025-09-07T07:37:01.0679057Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0679568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0680013Z return mod(*inputs) 2025-09-07T07:37:01.0680467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0680984Z return self._forward_impl(x) 2025-09-07T07:37:01.0681492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0682010Z x = self.layer2(x) 2025-09-07T07:37:01.0682457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:37:01.0682951Z out = self.conv1(x) 2025-09-07T07:37:01.0683081Z 2025-09-07T07:37:01.0683219Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0683728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0684172Z return mod(*inputs) 2025-09-07T07:37:01.0684643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0685147Z return self._forward_impl(x) 2025-09-07T07:37:01.0685779Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0686318Z x = self.layer2(x) 2025-09-07T07:37:01.0686766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:37:01.0697140Z out = self.relu(out) 2025-09-07T07:37:01.0697406Z 2025-09-07T07:37:01.0697564Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0698095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0698555Z return mod(*inputs) 2025-09-07T07:37:01.0699025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0699538Z return self._forward_impl(x) 2025-09-07T07:37:01.0700050Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0700751Z x = self.layer2(x) 2025-09-07T07:37:01.0701218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:37:01.0701719Z out = self.conv2(out) 2025-09-07T07:37:01.0701865Z 2025-09-07T07:37:01.0701997Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0702508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0702954Z return mod(*inputs) 2025-09-07T07:37:01.0703410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0703917Z return self._forward_impl(x) 2025-09-07T07:37:01.0704427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0704946Z x = self.layer2(x) 2025-09-07T07:37:01.0705393Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:37:01.0705899Z out = self.relu(out) 2025-09-07T07:37:01.0706038Z 2025-09-07T07:37:01.0706171Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0706680Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0707129Z return mod(*inputs) 2025-09-07T07:37:01.0707587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0708089Z return self._forward_impl(x) 2025-09-07T07:37:01.0708597Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0709112Z x = self.layer2(x) 2025-09-07T07:37:01.0709555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:37:01.0710052Z out = self.conv3(out) 2025-09-07T07:37:01.0710199Z 2025-09-07T07:37:01.0710333Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0710848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0711296Z return mod(*inputs) 2025-09-07T07:37:01.0711750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0712256Z return self._forward_impl(x) 2025-09-07T07:37:01.0712765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:37:01.0713284Z x = self.layer2(x) 2025-09-07T07:37:01.0713728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:37:01.0714221Z out = self.relu(out) 2025-09-07T07:37:01.0714359Z 2025-09-07T07:37:01.0714491Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0715007Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0715579Z return mod(*inputs) 2025-09-07T07:37:01.0716049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0716555Z return self._forward_impl(x) 2025-09-07T07:37:01.0717065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0717581Z x = self.layer3(x) 2025-09-07T07:37:01.0718029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:37:01.0718520Z out = self.conv1(x) 2025-09-07T07:37:01.0718652Z 2025-09-07T07:37:01.0718785Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0719296Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0719865Z return mod(*inputs) 2025-09-07T07:37:01.0720324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0720826Z return self._forward_impl(x) 2025-09-07T07:37:01.0721335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0721853Z x = self.layer3(x) 2025-09-07T07:37:01.0722300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:37:01.0722793Z out = self.relu(out) 2025-09-07T07:37:01.0722930Z 2025-09-07T07:37:01.0723062Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0723570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0724014Z return mod(*inputs) 2025-09-07T07:37:01.0724463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0724969Z return self._forward_impl(x) 2025-09-07T07:37:01.0725479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0725993Z x = self.layer3(x) 2025-09-07T07:37:01.0726438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:37:01.0726932Z out = self.conv2(out) 2025-09-07T07:37:01.0727072Z 2025-09-07T07:37:01.0727204Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0727713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0728159Z return mod(*inputs) 2025-09-07T07:37:01.0728612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0729109Z return self._forward_impl(x) 2025-09-07T07:37:01.0729618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0730138Z x = self.layer3(x) 2025-09-07T07:37:01.0730584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:37:01.0731074Z out = self.relu(out) 2025-09-07T07:37:01.0731211Z 2025-09-07T07:37:01.0731342Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0731850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0732296Z return mod(*inputs) 2025-09-07T07:37:01.0732749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0733251Z return self._forward_impl(x) 2025-09-07T07:37:01.0733762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0734283Z x = self.layer3(x) 2025-09-07T07:37:01.0734847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:37:01.0735371Z out = self.conv3(out) 2025-09-07T07:37:01.0735514Z 2025-09-07T07:37:01.0735643Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0736155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0736599Z return mod(*inputs) 2025-09-07T07:37:01.0737053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0737556Z return self._forward_impl(x) 2025-09-07T07:37:01.0738063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0738576Z x = self.layer3(x) 2025-09-07T07:37:01.0739020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward 2025-09-07T07:37:01.0739617Z identity = self.downsample(x) 2025-09-07T07:37:01.0739792Z 2025-09-07T07:37:01.0739926Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0740433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0740882Z return mod(*inputs) 2025-09-07T07:37:01.0741331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0741835Z return self._forward_impl(x) 2025-09-07T07:37:01.0742346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0742865Z x = self.layer3(x) 2025-09-07T07:37:01.0743312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:37:01.0743803Z out = self.conv1(x) 2025-09-07T07:37:01.0743943Z 2025-09-07T07:37:01.0744074Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0744586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0745037Z return mod(*inputs) 2025-09-07T07:37:01.0745486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0745990Z return self._forward_impl(x) 2025-09-07T07:37:01.0746497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0747010Z x = self.layer3(x) 2025-09-07T07:37:01.0747455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:37:01.0747945Z out = self.relu(out) 2025-09-07T07:37:01.0748080Z 2025-09-07T07:37:01.0748211Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0748721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0749181Z return mod(*inputs) 2025-09-07T07:37:01.0749633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0750135Z return self._forward_impl(x) 2025-09-07T07:37:01.0750645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0751160Z x = self.layer3(x) 2025-09-07T07:37:01.0751604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:37:01.0752100Z out = self.conv2(out) 2025-09-07T07:37:01.0752237Z 2025-09-07T07:37:01.0752368Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0752874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0753323Z return mod(*inputs) 2025-09-07T07:37:01.0753895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0754520Z return self._forward_impl(x) 2025-09-07T07:37:01.0755033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0755550Z x = self.layer3(x) 2025-09-07T07:37:01.0755999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:37:01.0756493Z out = self.relu(out) 2025-09-07T07:37:01.0756631Z 2025-09-07T07:37:01.0756761Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0757268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0757720Z return mod(*inputs) 2025-09-07T07:37:01.0758170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0758859Z return self._forward_impl(x) 2025-09-07T07:37:01.0759375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0759892Z x = self.layer3(x) 2025-09-07T07:37:01.0760339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:37:01.0760831Z out = self.conv3(out) 2025-09-07T07:37:01.0760971Z 2025-09-07T07:37:01.0761100Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0761610Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0762059Z return mod(*inputs) 2025-09-07T07:37:01.0762504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0763009Z return self._forward_impl(x) 2025-09-07T07:37:01.0763519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0764045Z x = self.layer3(x) 2025-09-07T07:37:01.0764493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:37:01.0764986Z out = self.relu(out) 2025-09-07T07:37:01.0765122Z 2025-09-07T07:37:01.0765252Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0765763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0766213Z return mod(*inputs) 2025-09-07T07:37:01.0766663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0767170Z return self._forward_impl(x) 2025-09-07T07:37:01.0767679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0768195Z x = self.layer3(x) 2025-09-07T07:37:01.0768650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:37:01.0769146Z out = self.conv1(x) 2025-09-07T07:37:01.0769275Z 2025-09-07T07:37:01.0769405Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0769916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0770365Z return mod(*inputs) 2025-09-07T07:37:01.0770818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0771321Z return self._forward_impl(x) 2025-09-07T07:37:01.0771829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0772345Z x = self.layer3(x) 2025-09-07T07:37:01.0772795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:37:01.0773292Z out = self.relu(out) 2025-09-07T07:37:01.0773427Z 2025-09-07T07:37:01.0773761Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0774287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0774736Z return mod(*inputs) 2025-09-07T07:37:01.0775187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0775688Z return self._forward_impl(x) 2025-09-07T07:37:01.0776196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0776711Z x = self.layer3(x) 2025-09-07T07:37:01.0777160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:37:01.0777654Z out = self.conv2(out) 2025-09-07T07:37:01.0777794Z 2025-09-07T07:37:01.0777924Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0778541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0778994Z return mod(*inputs) 2025-09-07T07:37:01.0779447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0779950Z return self._forward_impl(x) 2025-09-07T07:37:01.0780456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0780976Z x = self.layer3(x) 2025-09-07T07:37:01.0781420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:37:01.0781913Z out = self.relu(out) 2025-09-07T07:37:01.0782053Z 2025-09-07T07:37:01.0782184Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0782693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0783150Z return mod(*inputs) 2025-09-07T07:37:01.0783601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0784105Z return self._forward_impl(x) 2025-09-07T07:37:01.0784614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0785130Z x = self.layer3(x) 2025-09-07T07:37:01.0785580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:37:01.0786071Z out = self.conv3(out) 2025-09-07T07:37:01.0786211Z 2025-09-07T07:37:01.0786341Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0786851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0787301Z return mod(*inputs) 2025-09-07T07:37:01.0787751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0788266Z return self._forward_impl(x) 2025-09-07T07:37:01.0788775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0789295Z x = self.layer3(x) 2025-09-07T07:37:01.0789746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:37:01.0790237Z out = self.relu(out) 2025-09-07T07:37:01.0790375Z 2025-09-07T07:37:01.0790509Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0791018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0791469Z return mod(*inputs) 2025-09-07T07:37:01.0791921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0792433Z return self._forward_impl(x) 2025-09-07T07:37:01.0793071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0793600Z x = self.layer3(x) 2025-09-07T07:37:01.0794052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:37:01.0794542Z out = self.conv1(x) 2025-09-07T07:37:01.0794675Z 2025-09-07T07:37:01.0794807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0795316Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0795769Z return mod(*inputs) 2025-09-07T07:37:01.0796221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0796727Z return self._forward_impl(x) 2025-09-07T07:37:01.0797233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0797882Z x = self.layer3(x) 2025-09-07T07:37:01.0798337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:37:01.0798830Z out = self.relu(out) 2025-09-07T07:37:01.0798966Z 2025-09-07T07:37:01.0799097Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0799606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0800055Z return mod(*inputs) 2025-09-07T07:37:01.0800503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0801006Z return self._forward_impl(x) 2025-09-07T07:37:01.0801514Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0802032Z x = self.layer3(x) 2025-09-07T07:37:01.0802480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:37:01.0802979Z out = self.conv2(out) 2025-09-07T07:37:01.0803122Z 2025-09-07T07:37:01.0803252Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0803760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0804213Z return mod(*inputs) 2025-09-07T07:37:01.0804664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0805170Z return self._forward_impl(x) 2025-09-07T07:37:01.0805679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0806200Z x = self.layer3(x) 2025-09-07T07:37:01.0806651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:37:01.0807150Z out = self.relu(out) 2025-09-07T07:37:01.0807289Z 2025-09-07T07:37:01.0807423Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0807938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0808391Z return mod(*inputs) 2025-09-07T07:37:01.0808843Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0809347Z return self._forward_impl(x) 2025-09-07T07:37:01.0809856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0810375Z x = self.layer3(x) 2025-09-07T07:37:01.0810823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:37:01.0811315Z out = self.conv3(out) 2025-09-07T07:37:01.0811459Z 2025-09-07T07:37:01.0811590Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0812259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0812723Z return mod(*inputs) 2025-09-07T07:37:01.0813171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0813674Z return self._forward_impl(x) 2025-09-07T07:37:01.0814180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0814698Z x = self.layer3(x) 2025-09-07T07:37:01.0815150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:37:01.0815638Z out = self.relu(out) 2025-09-07T07:37:01.0815776Z 2025-09-07T07:37:01.0815908Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0816416Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0816960Z return mod(*inputs) 2025-09-07T07:37:01.0817411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0817915Z return self._forward_impl(x) 2025-09-07T07:37:01.0818420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0818936Z x = self.layer3(x) 2025-09-07T07:37:01.0819387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:37:01.0819875Z out = self.conv1(x) 2025-09-07T07:37:01.0820007Z 2025-09-07T07:37:01.0820139Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0820647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0821095Z return mod(*inputs) 2025-09-07T07:37:01.0821540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0822048Z return self._forward_impl(x) 2025-09-07T07:37:01.0822560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0823081Z x = self.layer3(x) 2025-09-07T07:37:01.0823534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:37:01.0824023Z out = self.relu(out) 2025-09-07T07:37:01.0824161Z 2025-09-07T07:37:01.0824291Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0824799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0825249Z return mod(*inputs) 2025-09-07T07:37:01.0825696Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0826199Z return self._forward_impl(x) 2025-09-07T07:37:01.0826716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0827235Z x = self.layer3(x) 2025-09-07T07:37:01.0827687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:37:01.0828180Z out = self.conv2(out) 2025-09-07T07:37:01.0828321Z 2025-09-07T07:37:01.0828452Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0828962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0829411Z return mod(*inputs) 2025-09-07T07:37:01.0829860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0830365Z return self._forward_impl(x) 2025-09-07T07:37:01.0830874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0831394Z x = self.layer3(x) 2025-09-07T07:37:01.0831980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:37:01.0832483Z out = self.relu(out) 2025-09-07T07:37:01.0832623Z 2025-09-07T07:37:01.0832753Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0833262Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0833715Z return mod(*inputs) 2025-09-07T07:37:01.0834164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0834669Z return self._forward_impl(x) 2025-09-07T07:37:01.0835177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0835692Z x = self.layer3(x) 2025-09-07T07:37:01.0836144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:37:01.0836738Z out = self.conv3(out) 2025-09-07T07:37:01.0836885Z 2025-09-07T07:37:01.0837017Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0837525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0837973Z return mod(*inputs) 2025-09-07T07:37:01.0838424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0838931Z return self._forward_impl(x) 2025-09-07T07:37:01.0839437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0839955Z x = self.layer3(x) 2025-09-07T07:37:01.0840405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:37:01.0840896Z out = self.relu(out) 2025-09-07T07:37:01.0841037Z 2025-09-07T07:37:01.0841168Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0841681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0842129Z return mod(*inputs) 2025-09-07T07:37:01.0842577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0843080Z return self._forward_impl(x) 2025-09-07T07:37:01.0843587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0844104Z x = self.layer3(x) 2025-09-07T07:37:01.0844553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:37:01.0845043Z out = self.conv1(x) 2025-09-07T07:37:01.0845175Z 2025-09-07T07:37:01.0845306Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0845819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0846272Z return mod(*inputs) 2025-09-07T07:37:01.0846719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0847222Z return self._forward_impl(x) 2025-09-07T07:37:01.0847735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0848253Z x = self.layer3(x) 2025-09-07T07:37:01.0848704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:37:01.0849197Z out = self.relu(out) 2025-09-07T07:37:01.0849335Z 2025-09-07T07:37:01.0849467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0849975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0850429Z return mod(*inputs) 2025-09-07T07:37:01.0851013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0851529Z return self._forward_impl(x) 2025-09-07T07:37:01.0852037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0852563Z x = self.layer3(x) 2025-09-07T07:37:01.0853013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:37:01.0853506Z out = self.conv2(out) 2025-09-07T07:37:01.0853647Z 2025-09-07T07:37:01.0853779Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0854371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0854819Z return mod(*inputs) 2025-09-07T07:37:01.0855269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0855946Z return self._forward_impl(x) 2025-09-07T07:37:01.0856461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0856979Z x = self.layer3(x) 2025-09-07T07:37:01.0857426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:37:01.0857915Z out = self.relu(out) 2025-09-07T07:37:01.0858053Z 2025-09-07T07:37:01.0858183Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0858689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0859138Z return mod(*inputs) 2025-09-07T07:37:01.0859585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0860084Z return self._forward_impl(x) 2025-09-07T07:37:01.0860593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0861118Z x = self.layer3(x) 2025-09-07T07:37:01.0861567Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:37:01.0862058Z out = self.conv3(out) 2025-09-07T07:37:01.0862197Z 2025-09-07T07:37:01.0862326Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0862834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0863301Z return mod(*inputs) 2025-09-07T07:37:01.0863753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0864257Z return self._forward_impl(x) 2025-09-07T07:37:01.0864766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:37:01.0865286Z x = self.layer3(x) 2025-09-07T07:37:01.0865738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:37:01.0866234Z out = self.relu(out) 2025-09-07T07:37:01.0866370Z 2025-09-07T07:37:01.0866504Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0867014Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0867465Z return mod(*inputs) 2025-09-07T07:37:01.0867916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0868421Z return self._forward_impl(x) 2025-09-07T07:37:01.0868930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:37:01.0869449Z x = self.layer4(x) 2025-09-07T07:37:01.0869898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:37:01.0870396Z out = self.conv1(x) 2025-09-07T07:37:01.0870528Z 2025-09-07T07:37:01.0870859Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0871391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0871842Z return mod(*inputs) 2025-09-07T07:37:01.0872295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0872798Z return self._forward_impl(x) 2025-09-07T07:37:01.0873304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:37:01.0873820Z x = self.layer4(x) 2025-09-07T07:37:01.0874268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:37:01.0874761Z out = self.relu(out) 2025-09-07T07:37:01.0874897Z 2025-09-07T07:37:01.0875126Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0875642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0876094Z return mod(*inputs) 2025-09-07T07:37:01.0876546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0877053Z return self._forward_impl(x) 2025-09-07T07:37:01.0877560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:37:01.0878072Z x = self.layer4(x) 2025-09-07T07:37:01.0878518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:37:01.0879010Z out = self.conv2(out) 2025-09-07T07:37:01.0879150Z 2025-09-07T07:37:01.0879280Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0879786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0880239Z return mod(*inputs) 2025-09-07T07:37:01.0880692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0881196Z return self._forward_impl(x) 2025-09-07T07:37:01.0881706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:37:01.0882224Z x = self.layer4(x) 2025-09-07T07:37:01.0882670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:37:01.0883166Z out = self.relu(out) 2025-09-07T07:37:01.0883302Z 2025-09-07T07:37:01.0883435Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0883944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0884395Z return mod(*inputs) 2025-09-07T07:37:01.0884854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0885363Z return self._forward_impl(x) 2025-09-07T07:37:01.0885876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:37:01.0886393Z x = self.layer4(x) 2025-09-07T07:37:01.0886844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:37:01.0887335Z out = self.conv3(out) 2025-09-07T07:37:01.0887477Z 2025-09-07T07:37:01.0887610Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0888119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0888572Z return mod(*inputs) 2025-09-07T07:37:01.0889022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0889534Z return self._forward_impl(x) 2025-09-07T07:37:01.0890165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:37:01.0890698Z x = self.layer4(x) 2025-09-07T07:37:01.0891152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward 2025-09-07T07:37:01.0891657Z identity = self.downsample(x) 2025-09-07T07:37:01.0891825Z 2025-09-07T07:37:01.0891958Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0892465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0892915Z return mod(*inputs) 2025-09-07T07:37:01.0893367Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0893871Z return self._forward_impl(x) 2025-09-07T07:37:01.0894379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:37:01.0894996Z x = self.layer4(x) 2025-09-07T07:37:01.0895452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:37:01.0895940Z out = self.conv1(x) 2025-09-07T07:37:01.0896073Z 2025-09-07T07:37:01.0896206Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0896715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0897168Z return mod(*inputs) 2025-09-07T07:37:01.0897622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0898126Z return self._forward_impl(x) 2025-09-07T07:37:01.0898638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:37:01.0899154Z x = self.layer4(x) 2025-09-07T07:37:01.0899609Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:37:01.0900097Z out = self.relu(out) 2025-09-07T07:37:01.0900233Z 2025-09-07T07:37:01.0900364Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0900871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0901323Z return mod(*inputs) 2025-09-07T07:37:01.0901772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0902276Z return self._forward_impl(x) 2025-09-07T07:37:01.0902784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:37:01.0903299Z x = self.layer4(x) 2025-09-07T07:37:01.0903746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:37:01.0904248Z out = self.conv2(out) 2025-09-07T07:37:01.0904389Z 2025-09-07T07:37:01.0904524Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0905034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0905485Z return mod(*inputs) 2025-09-07T07:37:01.0905938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0906443Z return self._forward_impl(x) 2025-09-07T07:37:01.0906953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:37:01.0907468Z x = self.layer4(x) 2025-09-07T07:37:01.0907918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:37:01.0908409Z out = self.relu(out) 2025-09-07T07:37:01.0908546Z 2025-09-07T07:37:01.0908676Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0909311Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0909779Z return mod(*inputs) 2025-09-07T07:37:01.0910234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0910740Z return self._forward_impl(x) 2025-09-07T07:37:01.0911249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:37:01.0911768Z x = self.layer4(x) 2025-09-07T07:37:01.0912218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:37:01.0912708Z out = self.conv3(out) 2025-09-07T07:37:01.0912847Z 2025-09-07T07:37:01.0912977Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0913485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0914033Z return mod(*inputs) 2025-09-07T07:37:01.0914493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0914998Z return self._forward_impl(x) 2025-09-07T07:37:01.0915506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:37:01.0916022Z x = self.layer4(x) 2025-09-07T07:37:01.0916471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:37:01.0916961Z out = self.relu(out) 2025-09-07T07:37:01.0917098Z 2025-09-07T07:37:01.0917230Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0917739Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0918189Z return mod(*inputs) 2025-09-07T07:37:01.0918637Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0919150Z return self._forward_impl(x) 2025-09-07T07:37:01.0919662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:37:01.0920176Z x = self.layer4(x) 2025-09-07T07:37:01.0920625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:37:01.0921111Z out = self.conv1(x) 2025-09-07T07:37:01.0921243Z 2025-09-07T07:37:01.0921375Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0921883Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0922333Z return mod(*inputs) 2025-09-07T07:37:01.0922779Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0923284Z return self._forward_impl(x) 2025-09-07T07:37:01.0923803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:37:01.0924320Z x = self.layer4(x) 2025-09-07T07:37:01.0924769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:37:01.0925257Z out = self.relu(out) 2025-09-07T07:37:01.0925395Z 2025-09-07T07:37:01.0925527Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0926033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0926481Z return mod(*inputs) 2025-09-07T07:37:01.0926927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0927431Z return self._forward_impl(x) 2025-09-07T07:37:01.0927938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:37:01.0928462Z x = self.layer4(x) 2025-09-07T07:37:01.0929040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:37:01.0929546Z out = self.conv2(out) 2025-09-07T07:37:01.0929687Z 2025-09-07T07:37:01.0929818Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0930325Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0930778Z return mod(*inputs) 2025-09-07T07:37:01.0931225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0931727Z return self._forward_impl(x) 2025-09-07T07:37:01.0932236Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:37:01.0932752Z x = self.layer4(x) 2025-09-07T07:37:01.0933202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:37:01.0933781Z out = self.relu(out) 2025-09-07T07:37:01.0933917Z 2025-09-07T07:37:01.0934048Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0934556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0935007Z return mod(*inputs) 2025-09-07T07:37:01.0935453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0935956Z return self._forward_impl(x) 2025-09-07T07:37:01.0936464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:37:01.0936978Z x = self.layer4(x) 2025-09-07T07:37:01.0937428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:37:01.0937916Z out = self.conv3(out) 2025-09-07T07:37:01.0938061Z 2025-09-07T07:37:01.0938156Z cudagraph partition due to non gpu ops 2025-09-07T07:37:01.0938471Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0938981Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0939430Z return mod(*inputs) 2025-09-07T07:37:01.0939884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0940385Z return self._forward_impl(x) 2025-09-07T07:37:01.0940894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl 2025-09-07T07:37:01.0941413Z x = self.avgpool(x) 2025-09-07T07:37:01.0941544Z 2025-09-07T07:37:01.0941674Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:01.0942182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:01.0942638Z return mod(*inputs) 2025-09-07T07:37:01.0943096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:37:01.0943598Z return self._forward_impl(x) 2025-09-07T07:37:01.0944108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 280, in _forward_impl 2025-09-07T07:37:01.0944619Z x = self.fc(x) 2025-09-07T07:37:01.0944731Z 2025-09-07T07:37:08.2447854Z pass 2025-09-07T07:37:08.2449394Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:37:09.6185501Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:37:09.6186665Z import pynvml # type: ignore[import] 2025-09-07T07:37:12.2271350Z 2025-09-07T07:37:12.6176090Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:37:12.6176657Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:37:12.6241226Z cpu eval shufflenet_v2_x1_0 2025-09-07T07:37:12.8313008Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:37:12.9324297Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:37:13.0284937Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:37:21.2233984Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2237704Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2238063Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2238592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2239058Z return mod(*inputs) 2025-09-07T07:37:21.2239874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2240429Z return self._forward_impl(x) 2025-09-07T07:37:21.2240978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 155, in _forward_impl 2025-09-07T07:37:21.2241532Z x = self.conv1(x) 2025-09-07T07:37:21.2241666Z 2025-09-07T07:37:21.2241801Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2242324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2242790Z return mod(*inputs) 2025-09-07T07:37:21.2243274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2243815Z return self._forward_impl(x) 2025-09-07T07:37:21.2244361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 155, in _forward_impl 2025-09-07T07:37:21.2244924Z x = self.conv1(x) 2025-09-07T07:37:21.2245050Z 2025-09-07T07:37:21.2245192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2245707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2246166Z return mod(*inputs) 2025-09-07T07:37:21.2246667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2247209Z return self._forward_impl(x) 2025-09-07T07:37:21.2247753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 156, in _forward_impl 2025-09-07T07:37:21.2248311Z x = self.maxpool(x) 2025-09-07T07:37:21.2248450Z 2025-09-07T07:37:21.2248587Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2249101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2249565Z return mod(*inputs) 2025-09-07T07:37:21.2250057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2250596Z return self._forward_impl(x) 2025-09-07T07:37:21.2251139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2251695Z x = self.stage2(x) 2025-09-07T07:37:21.2252174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2252765Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2253009Z 2025-09-07T07:37:21.2253147Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2253656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2254374Z return mod(*inputs) 2025-09-07T07:37:21.2255076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2255623Z return self._forward_impl(x) 2025-09-07T07:37:21.2256170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2256718Z x = self.stage2(x) 2025-09-07T07:37:21.2257197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2257784Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2258028Z 2025-09-07T07:37:21.2258162Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2258675Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2259129Z return mod(*inputs) 2025-09-07T07:37:21.2259612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2260292Z return self._forward_impl(x) 2025-09-07T07:37:21.2260839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2261391Z x = self.stage2(x) 2025-09-07T07:37:21.2261867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2262449Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2262690Z 2025-09-07T07:37:21.2262823Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2263335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2263792Z return mod(*inputs) 2025-09-07T07:37:21.2264275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2264809Z return self._forward_impl(x) 2025-09-07T07:37:21.2265356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2265903Z x = self.stage2(x) 2025-09-07T07:37:21.2266380Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2266973Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2267210Z 2025-09-07T07:37:21.2267345Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2267861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2268317Z return mod(*inputs) 2025-09-07T07:37:21.2268804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2269337Z return self._forward_impl(x) 2025-09-07T07:37:21.2269876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2270433Z x = self.stage2(x) 2025-09-07T07:37:21.2270919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2271510Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2271749Z 2025-09-07T07:37:21.2271883Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2272393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2272846Z return mod(*inputs) 2025-09-07T07:37:21.2273335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2273868Z return self._forward_impl(x) 2025-09-07T07:37:21.2274408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2274964Z x = self.stage2(x) 2025-09-07T07:37:21.2275558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2276161Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2276405Z 2025-09-07T07:37:21.2276539Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2277054Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2277507Z return mod(*inputs) 2025-09-07T07:37:21.2277994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2278529Z return self._forward_impl(x) 2025-09-07T07:37:21.2279067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2279617Z x = self.stage2(x) 2025-09-07T07:37:21.2280229Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2280819Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2281055Z 2025-09-07T07:37:21.2281194Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2281707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2282165Z return mod(*inputs) 2025-09-07T07:37:21.2282652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2283188Z return self._forward_impl(x) 2025-09-07T07:37:21.2283725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2284275Z x = self.stage2(x) 2025-09-07T07:37:21.2284751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2285347Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2285584Z 2025-09-07T07:37:21.2285723Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2286231Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2286684Z return mod(*inputs) 2025-09-07T07:37:21.2287168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2287704Z return self._forward_impl(x) 2025-09-07T07:37:21.2288237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2288790Z x = self.stage2(x) 2025-09-07T07:37:21.2289271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2289866Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2290106Z 2025-09-07T07:37:21.2290242Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2290750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2291206Z return mod(*inputs) 2025-09-07T07:37:21.2291691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2292225Z return self._forward_impl(x) 2025-09-07T07:37:21.2292764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2293311Z x = self.stage2(x) 2025-09-07T07:37:21.2293791Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2294379Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2294621Z 2025-09-07T07:37:21.2294896Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2295426Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2295877Z return mod(*inputs) 2025-09-07T07:37:21.2296357Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2296891Z return self._forward_impl(x) 2025-09-07T07:37:21.2297429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2297973Z x = self.stage2(x) 2025-09-07T07:37:21.2298451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2299036Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2299272Z 2025-09-07T07:37:21.2299505Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2300020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2300471Z return mod(*inputs) 2025-09-07T07:37:21.2300950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2301483Z return self._forward_impl(x) 2025-09-07T07:37:21.2302022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2302563Z x = self.stage2(x) 2025-09-07T07:37:21.2303041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 99, in forward 2025-09-07T07:37:21.2303572Z out = channel_shuffle(out, 2) 2025-09-07T07:37:21.2304121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 35, in channel_shuffle 2025-09-07T07:37:21.2304736Z x = torch.transpose(x, 1, 2).contiguous() 2025-09-07T07:37:21.2304930Z 2025-09-07T07:37:21.2305034Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2305344Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2305856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2306309Z return mod(*inputs) 2025-09-07T07:37:21.2306793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2307326Z return self._forward_impl(x) 2025-09-07T07:37:21.2307862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2308406Z x = self.stage2(x) 2025-09-07T07:37:21.2308887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2309439Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2309646Z 2025-09-07T07:37:21.2309784Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2310294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2320669Z return mod(*inputs) 2025-09-07T07:37:21.2321254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2321795Z return self._forward_impl(x) 2025-09-07T07:37:21.2322337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2322887Z x = self.stage2(x) 2025-09-07T07:37:21.2323365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2323921Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2324126Z 2025-09-07T07:37:21.2324276Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2324952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2325413Z return mod(*inputs) 2025-09-07T07:37:21.2325906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2326446Z return self._forward_impl(x) 2025-09-07T07:37:21.2326980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2327527Z x = self.stage2(x) 2025-09-07T07:37:21.2328002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2328554Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2328755Z 2025-09-07T07:37:21.2328888Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2329495Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2329952Z return mod(*inputs) 2025-09-07T07:37:21.2330435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2330966Z return self._forward_impl(x) 2025-09-07T07:37:21.2331499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2332043Z x = self.stage2(x) 2025-09-07T07:37:21.2332518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2333072Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2333274Z 2025-09-07T07:37:21.2333407Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2333918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2334375Z return mod(*inputs) 2025-09-07T07:37:21.2334865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2335398Z return self._forward_impl(x) 2025-09-07T07:37:21.2335934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2336479Z x = self.stage2(x) 2025-09-07T07:37:21.2336954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2337507Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2337710Z 2025-09-07T07:37:21.2337808Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2338118Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2338627Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2339085Z return mod(*inputs) 2025-09-07T07:37:21.2339573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2340102Z return self._forward_impl(x) 2025-09-07T07:37:21.2340643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2341189Z x = self.stage2(x) 2025-09-07T07:37:21.2341666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2342218Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2342419Z 2025-09-07T07:37:21.2342551Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2343061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2343515Z return mod(*inputs) 2025-09-07T07:37:21.2343999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2345378Z return self._forward_impl(x) 2025-09-07T07:37:21.2345949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2346495Z x = self.stage2(x) 2025-09-07T07:37:21.2346972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2347521Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2347723Z 2025-09-07T07:37:21.2347855Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2348362Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2348810Z return mod(*inputs) 2025-09-07T07:37:21.2349290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2349921Z return self._forward_impl(x) 2025-09-07T07:37:21.2350468Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2351013Z x = self.stage2(x) 2025-09-07T07:37:21.2351494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 99, in forward 2025-09-07T07:37:21.2352021Z out = channel_shuffle(out, 2) 2025-09-07T07:37:21.2352567Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 35, in channel_shuffle 2025-09-07T07:37:21.2353147Z x = torch.transpose(x, 1, 2).contiguous() 2025-09-07T07:37:21.2353344Z 2025-09-07T07:37:21.2353442Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2353758Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2354371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2354829Z return mod(*inputs) 2025-09-07T07:37:21.2355316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2355850Z return self._forward_impl(x) 2025-09-07T07:37:21.2356385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2356925Z x = self.stage2(x) 2025-09-07T07:37:21.2357399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2357951Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2358153Z 2025-09-07T07:37:21.2358292Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2358800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2359246Z return mod(*inputs) 2025-09-07T07:37:21.2359728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2360266Z return self._forward_impl(x) 2025-09-07T07:37:21.2360804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2361345Z x = self.stage2(x) 2025-09-07T07:37:21.2361818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2362370Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2362570Z 2025-09-07T07:37:21.2362707Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2363217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2363665Z return mod(*inputs) 2025-09-07T07:37:21.2364149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2364685Z return self._forward_impl(x) 2025-09-07T07:37:21.2365413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2365974Z x = self.stage2(x) 2025-09-07T07:37:21.2366457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2367008Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2367209Z 2025-09-07T07:37:21.2367348Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2367858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2368307Z return mod(*inputs) 2025-09-07T07:37:21.2368793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2369326Z return self._forward_impl(x) 2025-09-07T07:37:21.2370008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2370552Z x = self.stage2(x) 2025-09-07T07:37:21.2371023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2371579Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2371783Z 2025-09-07T07:37:21.2371915Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2372428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2372877Z return mod(*inputs) 2025-09-07T07:37:21.2373357Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2373885Z return self._forward_impl(x) 2025-09-07T07:37:21.2374420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2374972Z x = self.stage2(x) 2025-09-07T07:37:21.2375449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2376000Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2376203Z 2025-09-07T07:37:21.2376298Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2376612Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2377115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2377564Z return mod(*inputs) 2025-09-07T07:37:21.2378045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2378577Z return self._forward_impl(x) 2025-09-07T07:37:21.2379114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2379657Z x = self.stage2(x) 2025-09-07T07:37:21.2380137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2380690Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2380891Z 2025-09-07T07:37:21.2381027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2381537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2381983Z return mod(*inputs) 2025-09-07T07:37:21.2382465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2382996Z return self._forward_impl(x) 2025-09-07T07:37:21.2383532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2384074Z x = self.stage2(x) 2025-09-07T07:37:21.2384694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2385260Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2385463Z 2025-09-07T07:37:21.2385600Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2386108Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2386555Z return mod(*inputs) 2025-09-07T07:37:21.2387040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2387571Z return self._forward_impl(x) 2025-09-07T07:37:21.2388110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2388650Z x = self.stage2(x) 2025-09-07T07:37:21.2389124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 99, in forward 2025-09-07T07:37:21.2389743Z out = channel_shuffle(out, 2) 2025-09-07T07:37:21.2390297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 35, in channel_shuffle 2025-09-07T07:37:21.2390876Z x = torch.transpose(x, 1, 2).contiguous() 2025-09-07T07:37:21.2391070Z 2025-09-07T07:37:21.2391166Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2391482Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2391989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2392439Z return mod(*inputs) 2025-09-07T07:37:21.2392919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2393450Z return self._forward_impl(x) 2025-09-07T07:37:21.2393988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2394538Z x = self.stage2(x) 2025-09-07T07:37:21.2395021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2395574Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2395780Z 2025-09-07T07:37:21.2395912Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2396421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2396870Z return mod(*inputs) 2025-09-07T07:37:21.2397348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2397881Z return self._forward_impl(x) 2025-09-07T07:37:21.2398418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2398967Z x = self.stage2(x) 2025-09-07T07:37:21.2399451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2399998Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2400203Z 2025-09-07T07:37:21.2400337Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2400846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2401295Z return mod(*inputs) 2025-09-07T07:37:21.2401776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2402301Z return self._forward_impl(x) 2025-09-07T07:37:21.2402839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2403389Z x = self.stage2(x) 2025-09-07T07:37:21.2403873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2404541Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2404767Z 2025-09-07T07:37:21.2404904Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2405415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2405865Z return mod(*inputs) 2025-09-07T07:37:21.2406344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2406873Z return self._forward_impl(x) 2025-09-07T07:37:21.2407411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2407953Z x = self.stage2(x) 2025-09-07T07:37:21.2408428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2409068Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2409274Z 2025-09-07T07:37:21.2409416Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2409926Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2410375Z return mod(*inputs) 2025-09-07T07:37:21.2410860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2411390Z return self._forward_impl(x) 2025-09-07T07:37:21.2411927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2412472Z x = self.stage2(x) 2025-09-07T07:37:21.2412943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2413498Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2413702Z 2025-09-07T07:37:21.2413802Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2414117Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2414623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2415073Z return mod(*inputs) 2025-09-07T07:37:21.2415554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2416084Z return self._forward_impl(x) 2025-09-07T07:37:21.2416620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2417161Z x = self.stage2(x) 2025-09-07T07:37:21.2417640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2418193Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2418393Z 2025-09-07T07:37:21.2418535Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2419045Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2419496Z return mod(*inputs) 2025-09-07T07:37:21.2419977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2420505Z return self._forward_impl(x) 2025-09-07T07:37:21.2421043Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2421584Z x = self.stage2(x) 2025-09-07T07:37:21.2422060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2422612Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2422813Z 2025-09-07T07:37:21.2422949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2423459Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2424037Z return mod(*inputs) 2025-09-07T07:37:21.2424530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2425060Z return self._forward_impl(x) 2025-09-07T07:37:21.2425597Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 157, in _forward_impl 2025-09-07T07:37:21.2426137Z x = self.stage2(x) 2025-09-07T07:37:21.2426612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 99, in forward 2025-09-07T07:37:21.2427137Z out = channel_shuffle(out, 2) 2025-09-07T07:37:21.2427681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 35, in channel_shuffle 2025-09-07T07:37:21.2428258Z x = torch.transpose(x, 1, 2).contiguous() 2025-09-07T07:37:21.2428547Z 2025-09-07T07:37:21.2428680Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2429196Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2429650Z return mod(*inputs) 2025-09-07T07:37:21.2430134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2430663Z return self._forward_impl(x) 2025-09-07T07:37:21.2431201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2431744Z x = self.stage3(x) 2025-09-07T07:37:21.2432222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2432805Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2433042Z 2025-09-07T07:37:21.2433174Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2433694Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2434148Z return mod(*inputs) 2025-09-07T07:37:21.2434632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2435161Z return self._forward_impl(x) 2025-09-07T07:37:21.2435701Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2436247Z x = self.stage3(x) 2025-09-07T07:37:21.2436725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2437306Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2437541Z 2025-09-07T07:37:21.2437675Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2438184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2438641Z return mod(*inputs) 2025-09-07T07:37:21.2439128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2439658Z return self._forward_impl(x) 2025-09-07T07:37:21.2440193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2440740Z x = self.stage3(x) 2025-09-07T07:37:21.2441215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2441798Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2442031Z 2025-09-07T07:37:21.2442163Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2442668Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2443124Z return mod(*inputs) 2025-09-07T07:37:21.2443716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2444258Z return self._forward_impl(x) 2025-09-07T07:37:21.2444794Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2445338Z x = self.stage3(x) 2025-09-07T07:37:21.2445814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2446397Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2446631Z 2025-09-07T07:37:21.2446769Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2447272Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2447724Z return mod(*inputs) 2025-09-07T07:37:21.2448205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2448853Z return self._forward_impl(x) 2025-09-07T07:37:21.2449386Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2449929Z x = self.stage3(x) 2025-09-07T07:37:21.2450402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2450986Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2451220Z 2025-09-07T07:37:21.2451355Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2451857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2452312Z return mod(*inputs) 2025-09-07T07:37:21.2452795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2453330Z return self._forward_impl(x) 2025-09-07T07:37:21.2453869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2454498Z x = self.stage3(x) 2025-09-07T07:37:21.2454976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2455561Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2455795Z 2025-09-07T07:37:21.2455932Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2456438Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2456889Z return mod(*inputs) 2025-09-07T07:37:21.2457372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2457903Z return self._forward_impl(x) 2025-09-07T07:37:21.2458445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2458992Z x = self.stage3(x) 2025-09-07T07:37:21.2459465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2460048Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2460283Z 2025-09-07T07:37:21.2460420Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2460924Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2461376Z return mod(*inputs) 2025-09-07T07:37:21.2461856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2462383Z return self._forward_impl(x) 2025-09-07T07:37:21.2462921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2463640Z x = self.stage3(x) 2025-09-07T07:37:21.2464134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2464717Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2464953Z 2025-09-07T07:37:21.2465089Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2465594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2466043Z return mod(*inputs) 2025-09-07T07:37:21.2466521Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2467048Z return self._forward_impl(x) 2025-09-07T07:37:21.2467586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2468255Z x = self.stage3(x) 2025-09-07T07:37:21.2468740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2469328Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2469561Z 2025-09-07T07:37:21.2469698Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2470205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2470650Z return mod(*inputs) 2025-09-07T07:37:21.2471133Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2471664Z return self._forward_impl(x) 2025-09-07T07:37:21.2472200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2472738Z x = self.stage3(x) 2025-09-07T07:37:21.2473225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2473805Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2474038Z 2025-09-07T07:37:21.2474173Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2474679Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2475124Z return mod(*inputs) 2025-09-07T07:37:21.2475603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2476136Z return self._forward_impl(x) 2025-09-07T07:37:21.2476676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2477217Z x = self.stage3(x) 2025-09-07T07:37:21.2477692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2478283Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2478518Z 2025-09-07T07:37:21.2478657Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2479164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2479614Z return mod(*inputs) 2025-09-07T07:37:21.2480098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2480627Z return self._forward_impl(x) 2025-09-07T07:37:21.2481165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2481707Z x = self.stage3(x) 2025-09-07T07:37:21.2482180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 99, in forward 2025-09-07T07:37:21.2482714Z out = channel_shuffle(out, 2) 2025-09-07T07:37:21.2483369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 35, in channel_shuffle 2025-09-07T07:37:21.2483957Z x = torch.transpose(x, 1, 2).contiguous() 2025-09-07T07:37:21.2484150Z 2025-09-07T07:37:21.2484245Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2484559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2485066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2485516Z return mod(*inputs) 2025-09-07T07:37:21.2485999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2486524Z return self._forward_impl(x) 2025-09-07T07:37:21.2487061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2487608Z x = self.stage3(x) 2025-09-07T07:37:21.2488183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2488731Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2488936Z 2025-09-07T07:37:21.2489069Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2489581Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2490031Z return mod(*inputs) 2025-09-07T07:37:21.2490514Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2491039Z return self._forward_impl(x) 2025-09-07T07:37:21.2491580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2492122Z x = self.stage3(x) 2025-09-07T07:37:21.2492595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2493149Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2493355Z 2025-09-07T07:37:21.2493487Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2493997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2494447Z return mod(*inputs) 2025-09-07T07:37:21.2494927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2495452Z return self._forward_impl(x) 2025-09-07T07:37:21.2496007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2496555Z x = self.stage3(x) 2025-09-07T07:37:21.2497029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2497581Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2497788Z 2025-09-07T07:37:21.2497924Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2498436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2498885Z return mod(*inputs) 2025-09-07T07:37:21.2499367Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2499895Z return self._forward_impl(x) 2025-09-07T07:37:21.2500436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2500983Z x = self.stage3(x) 2025-09-07T07:37:21.2501459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2502009Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2502221Z 2025-09-07T07:37:21.2502352Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2502972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2503435Z return mod(*inputs) 2025-09-07T07:37:21.2503919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2504448Z return self._forward_impl(x) 2025-09-07T07:37:21.2504988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2505535Z x = self.stage3(x) 2025-09-07T07:37:21.2506012Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2506560Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2506767Z 2025-09-07T07:37:21.2506864Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2507454Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2507968Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2508424Z return mod(*inputs) 2025-09-07T07:37:21.2508903Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2509435Z return self._forward_impl(x) 2025-09-07T07:37:21.2509975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2510525Z x = self.stage3(x) 2025-09-07T07:37:21.2511002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2511548Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2511752Z 2025-09-07T07:37:21.2511886Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2512397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2512851Z return mod(*inputs) 2025-09-07T07:37:21.2513328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2513858Z return self._forward_impl(x) 2025-09-07T07:37:21.2514395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2514938Z x = self.stage3(x) 2025-09-07T07:37:21.2515410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2515960Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2516166Z 2025-09-07T07:37:21.2516297Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2516804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2517258Z return mod(*inputs) 2025-09-07T07:37:21.2517742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2518273Z return self._forward_impl(x) 2025-09-07T07:37:21.2518809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2519356Z x = self.stage3(x) 2025-09-07T07:37:21.2519832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 99, in forward 2025-09-07T07:37:21.2520355Z out = channel_shuffle(out, 2) 2025-09-07T07:37:21.2520899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 35, in channel_shuffle 2025-09-07T07:37:21.2521480Z x = torch.transpose(x, 1, 2).contiguous() 2025-09-07T07:37:21.2521671Z 2025-09-07T07:37:21.2521771Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2522087Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2522713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2523189Z return mod(*inputs) 2025-09-07T07:37:21.2523674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2524205Z return self._forward_impl(x) 2025-09-07T07:37:21.2524739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2525286Z x = self.stage3(x) 2025-09-07T07:37:21.2525764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2526318Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2526520Z 2025-09-07T07:37:21.2526654Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2527270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2527726Z return mod(*inputs) 2025-09-07T07:37:21.2528210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2528738Z return self._forward_impl(x) 2025-09-07T07:37:21.2529269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2529812Z x = self.stage3(x) 2025-09-07T07:37:21.2530287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2530836Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2531036Z 2025-09-07T07:37:21.2531172Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2531676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2532131Z return mod(*inputs) 2025-09-07T07:37:21.2532615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2533147Z return self._forward_impl(x) 2025-09-07T07:37:21.2533681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2534225Z x = self.stage3(x) 2025-09-07T07:37:21.2534699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2535250Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2535452Z 2025-09-07T07:37:21.2535586Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2536087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2536538Z return mod(*inputs) 2025-09-07T07:37:21.2537028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2537557Z return self._forward_impl(x) 2025-09-07T07:37:21.2538090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2538637Z x = self.stage3(x) 2025-09-07T07:37:21.2539108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2539660Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2539860Z 2025-09-07T07:37:21.2539995Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2540498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2540946Z return mod(*inputs) 2025-09-07T07:37:21.2541429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2541967Z return self._forward_impl(x) 2025-09-07T07:37:21.2542621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2543180Z x = self.stage3(x) 2025-09-07T07:37:21.2543659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2544210Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2544411Z 2025-09-07T07:37:21.2544515Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2544824Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2545332Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2545781Z return mod(*inputs) 2025-09-07T07:37:21.2546263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2546890Z return self._forward_impl(x) 2025-09-07T07:37:21.2547427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2547976Z x = self.stage3(x) 2025-09-07T07:37:21.2548455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2549007Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2549208Z 2025-09-07T07:37:21.2549341Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2549847Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2550300Z return mod(*inputs) 2025-09-07T07:37:21.2550782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2551312Z return self._forward_impl(x) 2025-09-07T07:37:21.2551855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2552400Z x = self.stage3(x) 2025-09-07T07:37:21.2552873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2553425Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2553628Z 2025-09-07T07:37:21.2553762Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2554372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2554829Z return mod(*inputs) 2025-09-07T07:37:21.2555310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2555838Z return self._forward_impl(x) 2025-09-07T07:37:21.2556371Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2556922Z x = self.stage3(x) 2025-09-07T07:37:21.2557400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 99, in forward 2025-09-07T07:37:21.2557927Z out = channel_shuffle(out, 2) 2025-09-07T07:37:21.2558473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 35, in channel_shuffle 2025-09-07T07:37:21.2559048Z x = torch.transpose(x, 1, 2).contiguous() 2025-09-07T07:37:21.2559244Z 2025-09-07T07:37:21.2559339Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2559650Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2560159Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2560610Z return mod(*inputs) 2025-09-07T07:37:21.2561095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2561632Z return self._forward_impl(x) 2025-09-07T07:37:21.2562348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2562909Z x = self.stage3(x) 2025-09-07T07:37:21.2563379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2563933Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2564139Z 2025-09-07T07:37:21.2564270Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2564779Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2565227Z return mod(*inputs) 2025-09-07T07:37:21.2565712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2566242Z return self._forward_impl(x) 2025-09-07T07:37:21.2566920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2567465Z x = self.stage3(x) 2025-09-07T07:37:21.2567937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2568491Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2568695Z 2025-09-07T07:37:21.2568828Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2569335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2569785Z return mod(*inputs) 2025-09-07T07:37:21.2570263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2570791Z return self._forward_impl(x) 2025-09-07T07:37:21.2571330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2571877Z x = self.stage3(x) 2025-09-07T07:37:21.2572354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2572908Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2573115Z 2025-09-07T07:37:21.2573246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2573751Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2574204Z return mod(*inputs) 2025-09-07T07:37:21.2574680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2575210Z return self._forward_impl(x) 2025-09-07T07:37:21.2575745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2576295Z x = self.stage3(x) 2025-09-07T07:37:21.2576772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2577324Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2577527Z 2025-09-07T07:37:21.2577659Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2578164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2578611Z return mod(*inputs) 2025-09-07T07:37:21.2579092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2579624Z return self._forward_impl(x) 2025-09-07T07:37:21.2580162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2580708Z x = self.stage3(x) 2025-09-07T07:37:21.2581178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2581839Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2582049Z 2025-09-07T07:37:21.2582144Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2582458Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2582964Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2583413Z return mod(*inputs) 2025-09-07T07:37:21.2583898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2584427Z return self._forward_impl(x) 2025-09-07T07:37:21.2584963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2585503Z x = self.stage3(x) 2025-09-07T07:37:21.2585985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2586640Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2586843Z 2025-09-07T07:37:21.2586980Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2587489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2587938Z return mod(*inputs) 2025-09-07T07:37:21.2588422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2588951Z return self._forward_impl(x) 2025-09-07T07:37:21.2589492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2590033Z x = self.stage3(x) 2025-09-07T07:37:21.2590507Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2591062Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2591267Z 2025-09-07T07:37:21.2591404Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2591913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2592358Z return mod(*inputs) 2025-09-07T07:37:21.2592839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2593369Z return self._forward_impl(x) 2025-09-07T07:37:21.2593908Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2594453Z x = self.stage3(x) 2025-09-07T07:37:21.2594926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 99, in forward 2025-09-07T07:37:21.2595455Z out = channel_shuffle(out, 2) 2025-09-07T07:37:21.2596004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 35, in channel_shuffle 2025-09-07T07:37:21.2596591Z x = torch.transpose(x, 1, 2).contiguous() 2025-09-07T07:37:21.2596785Z 2025-09-07T07:37:21.2596884Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2597197Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2597707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2598159Z return mod(*inputs) 2025-09-07T07:37:21.2598641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2599171Z return self._forward_impl(x) 2025-09-07T07:37:21.2599709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2600255Z x = self.stage3(x) 2025-09-07T07:37:21.2600729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2601459Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2601681Z 2025-09-07T07:37:21.2601816Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2602327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2602778Z return mod(*inputs) 2025-09-07T07:37:21.2603260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2603785Z return self._forward_impl(x) 2025-09-07T07:37:21.2604322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2604866Z x = self.stage3(x) 2025-09-07T07:37:21.2605347Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2605993Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2606195Z 2025-09-07T07:37:21.2606333Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2606841Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2607294Z return mod(*inputs) 2025-09-07T07:37:21.2607780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2608307Z return self._forward_impl(x) 2025-09-07T07:37:21.2608847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2609397Z x = self.stage3(x) 2025-09-07T07:37:21.2609875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2610428Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2610634Z 2025-09-07T07:37:21.2610766Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2611281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2611734Z return mod(*inputs) 2025-09-07T07:37:21.2612219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2612748Z return self._forward_impl(x) 2025-09-07T07:37:21.2613285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2613833Z x = self.stage3(x) 2025-09-07T07:37:21.2614309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2614859Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2615062Z 2025-09-07T07:37:21.2615194Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2615708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2616166Z return mod(*inputs) 2025-09-07T07:37:21.2616649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2617183Z return self._forward_impl(x) 2025-09-07T07:37:21.2617718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2618267Z x = self.stage3(x) 2025-09-07T07:37:21.2618744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2619294Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2619494Z 2025-09-07T07:37:21.2619589Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2619900Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2620412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2620962Z return mod(*inputs) 2025-09-07T07:37:21.2621457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2621985Z return self._forward_impl(x) 2025-09-07T07:37:21.2622526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2623075Z x = self.stage3(x) 2025-09-07T07:37:21.2623548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2624096Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2624300Z 2025-09-07T07:37:21.2624434Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2624943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2625490Z return mod(*inputs) 2025-09-07T07:37:21.2625978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2626506Z return self._forward_impl(x) 2025-09-07T07:37:21.2627041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2627586Z x = self.stage3(x) 2025-09-07T07:37:21.2628063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2628612Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2628817Z 2025-09-07T07:37:21.2628949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2629459Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2629911Z return mod(*inputs) 2025-09-07T07:37:21.2630398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2630932Z return self._forward_impl(x) 2025-09-07T07:37:21.2631472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2632016Z x = self.stage3(x) 2025-09-07T07:37:21.2632491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 99, in forward 2025-09-07T07:37:21.2633018Z out = channel_shuffle(out, 2) 2025-09-07T07:37:21.2633563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 35, in channel_shuffle 2025-09-07T07:37:21.2634140Z x = torch.transpose(x, 1, 2).contiguous() 2025-09-07T07:37:21.2634331Z 2025-09-07T07:37:21.2634433Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2634744Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2635255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2635712Z return mod(*inputs) 2025-09-07T07:37:21.2636196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2636729Z return self._forward_impl(x) 2025-09-07T07:37:21.2637268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2637811Z x = self.stage3(x) 2025-09-07T07:37:21.2638290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2638842Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2639043Z 2025-09-07T07:37:21.2639182Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2639690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2640147Z return mod(*inputs) 2025-09-07T07:37:21.2640743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2641285Z return self._forward_impl(x) 2025-09-07T07:37:21.2641822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2642365Z x = self.stage3(x) 2025-09-07T07:37:21.2642841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2643392Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2643595Z 2025-09-07T07:37:21.2643731Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2644237Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2644690Z return mod(*inputs) 2025-09-07T07:37:21.2645270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2645804Z return self._forward_impl(x) 2025-09-07T07:37:21.2646344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2646887Z x = self.stage3(x) 2025-09-07T07:37:21.2647364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2647914Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2648116Z 2025-09-07T07:37:21.2648252Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2648759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2649207Z return mod(*inputs) 2025-09-07T07:37:21.2649688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2650222Z return self._forward_impl(x) 2025-09-07T07:37:21.2650764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2651309Z x = self.stage3(x) 2025-09-07T07:37:21.2651788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2652338Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2652540Z 2025-09-07T07:37:21.2652678Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2653186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2653634Z return mod(*inputs) 2025-09-07T07:37:21.2654205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2654737Z return self._forward_impl(x) 2025-09-07T07:37:21.2655283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2655824Z x = self.stage3(x) 2025-09-07T07:37:21.2656303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2656855Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2657056Z 2025-09-07T07:37:21.2657155Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2657464Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2657969Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2658419Z return mod(*inputs) 2025-09-07T07:37:21.2658904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2659436Z return self._forward_impl(x) 2025-09-07T07:37:21.2660141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2660697Z x = self.stage3(x) 2025-09-07T07:37:21.2661173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2661725Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2661926Z 2025-09-07T07:37:21.2662062Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2662570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2663022Z return mod(*inputs) 2025-09-07T07:37:21.2663506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2664037Z return self._forward_impl(x) 2025-09-07T07:37:21.2664571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2665246Z x = self.stage3(x) 2025-09-07T07:37:21.2665728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2666278Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2666482Z 2025-09-07T07:37:21.2666616Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2667122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2667571Z return mod(*inputs) 2025-09-07T07:37:21.2668053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2668583Z return self._forward_impl(x) 2025-09-07T07:37:21.2669118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2669664Z x = self.stage3(x) 2025-09-07T07:37:21.2670144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 99, in forward 2025-09-07T07:37:21.2670668Z out = channel_shuffle(out, 2) 2025-09-07T07:37:21.2671212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 35, in channel_shuffle 2025-09-07T07:37:21.2671786Z x = torch.transpose(x, 1, 2).contiguous() 2025-09-07T07:37:21.2671978Z 2025-09-07T07:37:21.2672073Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2672383Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2672890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2673339Z return mod(*inputs) 2025-09-07T07:37:21.2673818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2674350Z return self._forward_impl(x) 2025-09-07T07:37:21.2674902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2675454Z x = self.stage3(x) 2025-09-07T07:37:21.2675929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2676491Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2676698Z 2025-09-07T07:37:21.2676831Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2677340Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2677788Z return mod(*inputs) 2025-09-07T07:37:21.2678269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2678799Z return self._forward_impl(x) 2025-09-07T07:37:21.2679338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2679890Z x = self.stage3(x) 2025-09-07T07:37:21.2680498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2681059Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2681262Z 2025-09-07T07:37:21.2681394Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2681901Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2682351Z return mod(*inputs) 2025-09-07T07:37:21.2682831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2683360Z return self._forward_impl(x) 2025-09-07T07:37:21.2683899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2684527Z x = self.stage3(x) 2025-09-07T07:37:21.2694226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2694806Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2695014Z 2025-09-07T07:37:21.2695155Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2695664Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2696120Z return mod(*inputs) 2025-09-07T07:37:21.2696605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2697140Z return self._forward_impl(x) 2025-09-07T07:37:21.2697675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2698219Z x = self.stage3(x) 2025-09-07T07:37:21.2698694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2699261Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2699463Z 2025-09-07T07:37:21.2699600Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2700103Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2700555Z return mod(*inputs) 2025-09-07T07:37:21.2701038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2701569Z return self._forward_impl(x) 2025-09-07T07:37:21.2702103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2702645Z x = self.stage3(x) 2025-09-07T07:37:21.2703120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2703672Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2703872Z 2025-09-07T07:37:21.2703975Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2704285Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2704790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2705244Z return mod(*inputs) 2025-09-07T07:37:21.2705725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2706254Z return self._forward_impl(x) 2025-09-07T07:37:21.2706783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2707325Z x = self.stage3(x) 2025-09-07T07:37:21.2707798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2708355Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2708557Z 2025-09-07T07:37:21.2708849Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2709369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2709820Z return mod(*inputs) 2025-09-07T07:37:21.2710305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2710836Z return self._forward_impl(x) 2025-09-07T07:37:21.2711368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2711912Z x = self.stage3(x) 2025-09-07T07:37:21.2712386Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2712938Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2713139Z 2025-09-07T07:37:21.2713358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2713869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2714321Z return mod(*inputs) 2025-09-07T07:37:21.2714805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2715338Z return self._forward_impl(x) 2025-09-07T07:37:21.2715872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2716415Z x = self.stage3(x) 2025-09-07T07:37:21.2716888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 99, in forward 2025-09-07T07:37:21.2717412Z out = channel_shuffle(out, 2) 2025-09-07T07:37:21.2717959Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 35, in channel_shuffle 2025-09-07T07:37:21.2718540Z x = torch.transpose(x, 1, 2).contiguous() 2025-09-07T07:37:21.2718738Z 2025-09-07T07:37:21.2718837Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2719149Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2719654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2720101Z return mod(*inputs) 2025-09-07T07:37:21.2720585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2721115Z return self._forward_impl(x) 2025-09-07T07:37:21.2721652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2722195Z x = self.stage3(x) 2025-09-07T07:37:21.2722665Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2723221Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2723425Z 2025-09-07T07:37:21.2723561Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2724070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2724518Z return mod(*inputs) 2025-09-07T07:37:21.2724994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2725521Z return self._forward_impl(x) 2025-09-07T07:37:21.2726056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2726602Z x = self.stage3(x) 2025-09-07T07:37:21.2727073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2727624Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2727831Z 2025-09-07T07:37:21.2727964Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2728582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2729040Z return mod(*inputs) 2025-09-07T07:37:21.2729517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2730051Z return self._forward_impl(x) 2025-09-07T07:37:21.2730587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2731129Z x = self.stage3(x) 2025-09-07T07:37:21.2731604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2732153Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2732357Z 2025-09-07T07:37:21.2732489Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2733094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2733552Z return mod(*inputs) 2025-09-07T07:37:21.2734032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2734561Z return self._forward_impl(x) 2025-09-07T07:37:21.2735097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2735643Z x = self.stage3(x) 2025-09-07T07:37:21.2736113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2736661Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2736865Z 2025-09-07T07:37:21.2736999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2737508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2737965Z return mod(*inputs) 2025-09-07T07:37:21.2738445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2738976Z return self._forward_impl(x) 2025-09-07T07:37:21.2739516Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2740060Z x = self.stage3(x) 2025-09-07T07:37:21.2740535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2741082Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2741287Z 2025-09-07T07:37:21.2741381Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2741692Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2742197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2742649Z return mod(*inputs) 2025-09-07T07:37:21.2743135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2743664Z return self._forward_impl(x) 2025-09-07T07:37:21.2744200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2744743Z x = self.stage3(x) 2025-09-07T07:37:21.2745212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2745762Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2745967Z 2025-09-07T07:37:21.2746098Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2746602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2747048Z return mod(*inputs) 2025-09-07T07:37:21.2747534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2748220Z return self._forward_impl(x) 2025-09-07T07:37:21.2748777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2749319Z x = self.stage3(x) 2025-09-07T07:37:21.2749788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2750337Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2750539Z 2025-09-07T07:37:21.2750672Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2751178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2751624Z return mod(*inputs) 2025-09-07T07:37:21.2752105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2752756Z return self._forward_impl(x) 2025-09-07T07:37:21.2753300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 158, in _forward_impl 2025-09-07T07:37:21.2753850Z x = self.stage3(x) 2025-09-07T07:37:21.2754430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 99, in forward 2025-09-07T07:37:21.2754955Z out = channel_shuffle(out, 2) 2025-09-07T07:37:21.2755504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 35, in channel_shuffle 2025-09-07T07:37:21.2756081Z x = torch.transpose(x, 1, 2).contiguous() 2025-09-07T07:37:21.2756272Z 2025-09-07T07:37:21.2756406Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2756907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2757357Z return mod(*inputs) 2025-09-07T07:37:21.2757846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2758378Z return self._forward_impl(x) 2025-09-07T07:37:21.2758911Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2759452Z x = self.stage4(x) 2025-09-07T07:37:21.2759927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2760510Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2760747Z 2025-09-07T07:37:21.2760881Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2761386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2761836Z return mod(*inputs) 2025-09-07T07:37:21.2762318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2762859Z return self._forward_impl(x) 2025-09-07T07:37:21.2763392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2763938Z x = self.stage4(x) 2025-09-07T07:37:21.2764415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2765000Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2765237Z 2025-09-07T07:37:21.2765373Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2765877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2766329Z return mod(*inputs) 2025-09-07T07:37:21.2766809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2766899Z return self._forward_impl(x) 2025-09-07T07:37:21.2767467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2767578Z x = self.stage4(x) 2025-09-07T07:37:21.2767937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2768078Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2768083Z 2025-09-07T07:37:21.2768214Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2768501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2768575Z return mod(*inputs) 2025-09-07T07:37:21.2768930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2769013Z return self._forward_impl(x) 2025-09-07T07:37:21.2769518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2769597Z x = self.stage4(x) 2025-09-07T07:37:21.2769943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2770087Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2770092Z 2025-09-07T07:37:21.2770224Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2770508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2770580Z return mod(*inputs) 2025-09-07T07:37:21.2770933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2771018Z return self._forward_impl(x) 2025-09-07T07:37:21.2771395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2771473Z x = self.stage4(x) 2025-09-07T07:37:21.2771824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2771964Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2771971Z 2025-09-07T07:37:21.2772101Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2772382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2772456Z return mod(*inputs) 2025-09-07T07:37:21.2772808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2772893Z return self._forward_impl(x) 2025-09-07T07:37:21.2773269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2773343Z x = self.stage4(x) 2025-09-07T07:37:21.2773695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2773837Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2773842Z 2025-09-07T07:37:21.2773976Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2774260Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2774331Z return mod(*inputs) 2025-09-07T07:37:21.2774685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2774769Z return self._forward_impl(x) 2025-09-07T07:37:21.2775152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2775222Z x = self.stage4(x) 2025-09-07T07:37:21.2775568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2775808Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2775814Z 2025-09-07T07:37:21.2775955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2776240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2776313Z return mod(*inputs) 2025-09-07T07:37:21.2776668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2776752Z return self._forward_impl(x) 2025-09-07T07:37:21.2777131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2777206Z x = self.stage4(x) 2025-09-07T07:37:21.2777552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2777771Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2777779Z 2025-09-07T07:37:21.2777912Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2778193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2778269Z return mod(*inputs) 2025-09-07T07:37:21.2778618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2778704Z return self._forward_impl(x) 2025-09-07T07:37:21.2779084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2779154Z x = self.stage4(x) 2025-09-07T07:37:21.2779500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2779643Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2779651Z 2025-09-07T07:37:21.2779786Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2780072Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2780146Z return mod(*inputs) 2025-09-07T07:37:21.2780498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2780581Z return self._forward_impl(x) 2025-09-07T07:37:21.2780960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2781034Z x = self.stage4(x) 2025-09-07T07:37:21.2781381Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2781521Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2781526Z 2025-09-07T07:37:21.2781662Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2781947Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2782023Z return mod(*inputs) 2025-09-07T07:37:21.2782374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2782460Z return self._forward_impl(x) 2025-09-07T07:37:21.2782836Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2782906Z x = self.stage4(x) 2025-09-07T07:37:21.2783254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 97, in forward 2025-09-07T07:37:21.2783393Z out = torch.cat((self.branch1(x), self.branch2(x)), dim=1) 2025-09-07T07:37:21.2783398Z 2025-09-07T07:37:21.2783534Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2783822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2783986Z return mod(*inputs) 2025-09-07T07:37:21.2784345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2784429Z return self._forward_impl(x) 2025-09-07T07:37:21.2784810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2784882Z x = self.stage4(x) 2025-09-07T07:37:21.2785232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 99, in forward 2025-09-07T07:37:21.2785314Z out = channel_shuffle(out, 2) 2025-09-07T07:37:21.2785700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 35, in channel_shuffle 2025-09-07T07:37:21.2785803Z x = torch.transpose(x, 1, 2).contiguous() 2025-09-07T07:37:21.2785889Z 2025-09-07T07:37:21.2785990Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2786132Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2786415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2786487Z return mod(*inputs) 2025-09-07T07:37:21.2786842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2786924Z return self._forward_impl(x) 2025-09-07T07:37:21.2787308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2787379Z x = self.stage4(x) 2025-09-07T07:37:21.2787730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2787836Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2787844Z 2025-09-07T07:37:21.2787974Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2788264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2788336Z return mod(*inputs) 2025-09-07T07:37:21.2788690Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2788773Z return self._forward_impl(x) 2025-09-07T07:37:21.2789147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2789222Z x = self.stage4(x) 2025-09-07T07:37:21.2789567Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2789677Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2789681Z 2025-09-07T07:37:21.2789812Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2790102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2790174Z return mod(*inputs) 2025-09-07T07:37:21.2790524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2790611Z return self._forward_impl(x) 2025-09-07T07:37:21.2790990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2791064Z x = self.stage4(x) 2025-09-07T07:37:21.2791411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2791517Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2791521Z 2025-09-07T07:37:21.2791654Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2791934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2792012Z return mod(*inputs) 2025-09-07T07:37:21.2792451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2792538Z return self._forward_impl(x) 2025-09-07T07:37:21.2792919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2792989Z x = self.stage4(x) 2025-09-07T07:37:21.2793338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2793445Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2793450Z 2025-09-07T07:37:21.2793583Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2793865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2793936Z return mod(*inputs) 2025-09-07T07:37:21.2794395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2794478Z return self._forward_impl(x) 2025-09-07T07:37:21.2794857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2794928Z x = self.stage4(x) 2025-09-07T07:37:21.2795273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2795382Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2795387Z 2025-09-07T07:37:21.2795480Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2795617Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2795897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2795968Z return mod(*inputs) 2025-09-07T07:37:21.2796333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2796415Z return self._forward_impl(x) 2025-09-07T07:37:21.2796798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2796869Z x = self.stage4(x) 2025-09-07T07:37:21.2797216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2797325Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2797329Z 2025-09-07T07:37:21.2797460Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2797744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2797816Z return mod(*inputs) 2025-09-07T07:37:21.2798168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2798255Z return self._forward_impl(x) 2025-09-07T07:37:21.2798638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2798711Z x = self.stage4(x) 2025-09-07T07:37:21.2799059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2799168Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2799172Z 2025-09-07T07:37:21.2799301Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2799583Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2799660Z return mod(*inputs) 2025-09-07T07:37:21.2800010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2800097Z return self._forward_impl(x) 2025-09-07T07:37:21.2800578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2800658Z x = self.stage4(x) 2025-09-07T07:37:21.2801011Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 99, in forward 2025-09-07T07:37:21.2801094Z out = channel_shuffle(out, 2) 2025-09-07T07:37:21.2801483Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 35, in channel_shuffle 2025-09-07T07:37:21.2801581Z x = torch.transpose(x, 1, 2).contiguous() 2025-09-07T07:37:21.2801586Z 2025-09-07T07:37:21.2801683Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2801815Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2802097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2802170Z return mod(*inputs) 2025-09-07T07:37:21.2802608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2802696Z return self._forward_impl(x) 2025-09-07T07:37:21.2803077Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2803148Z x = self.stage4(x) 2025-09-07T07:37:21.2803501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2803608Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2803613Z 2025-09-07T07:37:21.2803746Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2804028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2804100Z return mod(*inputs) 2025-09-07T07:37:21.2804453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2804538Z return self._forward_impl(x) 2025-09-07T07:37:21.2804926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2804998Z x = self.stage4(x) 2025-09-07T07:37:21.2805350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2805458Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2805462Z 2025-09-07T07:37:21.2805594Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2805878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2805950Z return mod(*inputs) 2025-09-07T07:37:21.2806302Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2806384Z return self._forward_impl(x) 2025-09-07T07:37:21.2806770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2806845Z x = self.stage4(x) 2025-09-07T07:37:21.2807194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2807305Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2807310Z 2025-09-07T07:37:21.2807441Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2807724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2807796Z return mod(*inputs) 2025-09-07T07:37:21.2808146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2808231Z return self._forward_impl(x) 2025-09-07T07:37:21.2808606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2808775Z x = self.stage4(x) 2025-09-07T07:37:21.2809132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2809238Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2809242Z 2025-09-07T07:37:21.2809378Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2809658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2809734Z return mod(*inputs) 2025-09-07T07:37:21.2810083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2810163Z return self._forward_impl(x) 2025-09-07T07:37:21.2810544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2810700Z x = self.stage4(x) 2025-09-07T07:37:21.2811056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2811163Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2811167Z 2025-09-07T07:37:21.2811265Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2811396Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2811678Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2811751Z return mod(*inputs) 2025-09-07T07:37:21.2812099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2812183Z return self._forward_impl(x) 2025-09-07T07:37:21.2812559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2812632Z x = self.stage4(x) 2025-09-07T07:37:21.2812987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2813094Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2813098Z 2025-09-07T07:37:21.2813230Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2813509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2813579Z return mod(*inputs) 2025-09-07T07:37:21.2813933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2814014Z return self._forward_impl(x) 2025-09-07T07:37:21.2814394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2814464Z x = self.stage4(x) 2025-09-07T07:37:21.2814812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2814930Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2814934Z 2025-09-07T07:37:21.2815066Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2815349Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2815421Z return mod(*inputs) 2025-09-07T07:37:21.2815773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2815855Z return self._forward_impl(x) 2025-09-07T07:37:21.2816233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2816307Z x = self.stage4(x) 2025-09-07T07:37:21.2816653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 99, in forward 2025-09-07T07:37:21.2816742Z out = channel_shuffle(out, 2) 2025-09-07T07:37:21.2817220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 35, in channel_shuffle 2025-09-07T07:37:21.2817326Z x = torch.transpose(x, 1, 2).contiguous() 2025-09-07T07:37:21.2817331Z 2025-09-07T07:37:21.2817430Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2817562Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2817851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2817924Z return mod(*inputs) 2025-09-07T07:37:21.2818276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2818363Z return self._forward_impl(x) 2025-09-07T07:37:21.2818744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2818901Z x = self.stage4(x) 2025-09-07T07:37:21.2819253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2819363Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2819368Z 2025-09-07T07:37:21.2819500Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2819782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2819857Z return mod(*inputs) 2025-09-07T07:37:21.2820207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2820291Z return self._forward_impl(x) 2025-09-07T07:37:21.2820668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2820739Z x = self.stage4(x) 2025-09-07T07:37:21.2821089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2821204Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2821208Z 2025-09-07T07:37:21.2821344Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2821625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2821699Z return mod(*inputs) 2025-09-07T07:37:21.2822049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2822130Z return self._forward_impl(x) 2025-09-07T07:37:21.2822514Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2822584Z x = self.stage4(x) 2025-09-07T07:37:21.2822935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2823045Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2823050Z 2025-09-07T07:37:21.2823185Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2823471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2823542Z return mod(*inputs) 2025-09-07T07:37:21.2823896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2823979Z return self._forward_impl(x) 2025-09-07T07:37:21.2824358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2824433Z x = self.stage4(x) 2025-09-07T07:37:21.2824779Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2824889Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2824897Z 2025-09-07T07:37:21.2825029Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2825417Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2825495Z return mod(*inputs) 2025-09-07T07:37:21.2825847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2825932Z return self._forward_impl(x) 2025-09-07T07:37:21.2826311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2826384Z x = self.stage4(x) 2025-09-07T07:37:21.2826732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2826837Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2826841Z 2025-09-07T07:37:21.2826938Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2827132Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2827421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2827493Z return mod(*inputs) 2025-09-07T07:37:21.2827844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2827929Z return self._forward_impl(x) 2025-09-07T07:37:21.2828307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2828382Z x = self.stage4(x) 2025-09-07T07:37:21.2828730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2828840Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2828845Z 2025-09-07T07:37:21.2828975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2829259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2829336Z return mod(*inputs) 2025-09-07T07:37:21.2829684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2829771Z return self._forward_impl(x) 2025-09-07T07:37:21.2830149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2830220Z x = self.stage4(x) 2025-09-07T07:37:21.2830573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 95, in forward 2025-09-07T07:37:21.2830677Z out = torch.cat((x1, self.branch2(x2)), dim=1) 2025-09-07T07:37:21.2830681Z 2025-09-07T07:37:21.2830814Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2831098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2831172Z return mod(*inputs) 2025-09-07T07:37:21.2831530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2831612Z return self._forward_impl(x) 2025-09-07T07:37:21.2831994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 159, in _forward_impl 2025-09-07T07:37:21.2832066Z x = self.stage4(x) 2025-09-07T07:37:21.2832418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 99, in forward 2025-09-07T07:37:21.2832501Z out = channel_shuffle(out, 2) 2025-09-07T07:37:21.2832885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 35, in channel_shuffle 2025-09-07T07:37:21.2832987Z x = torch.transpose(x, 1, 2).contiguous() 2025-09-07T07:37:21.2832991Z 2025-09-07T07:37:21.2833086Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2833228Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2833646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2833723Z return mod(*inputs) 2025-09-07T07:37:21.2834080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2834161Z return self._forward_impl(x) 2025-09-07T07:37:21.2834541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 160, in _forward_impl 2025-09-07T07:37:21.2834610Z x = self.conv5(x) 2025-09-07T07:37:21.2834615Z 2025-09-07T07:37:21.2834709Z cudagraph partition due to non gpu ops 2025-09-07T07:37:21.2834844Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2835126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2835288Z return mod(*inputs) 2025-09-07T07:37:21.2835643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2835725Z return self._forward_impl(x) 2025-09-07T07:37:21.2836105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 161, in _forward_impl 2025-09-07T07:37:21.2836185Z x = x.mean([2, 3]) # globalpool 2025-09-07T07:37:21.2836189Z 2025-09-07T07:37:21.2836324Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:37:21.2836603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:21.2836679Z return mod(*inputs) 2025-09-07T07:37:21.2837030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 166, in forward 2025-09-07T07:37:21.2837112Z return self._forward_impl(x) 2025-09-07T07:37:21.2837494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/shufflenetv2.py", line 162, in _forward_impl 2025-09-07T07:37:21.2837568Z x = self.fc(x) 2025-09-07T07:37:21.2837573Z 2025-09-07T07:37:28.0347704Z pass 2025-09-07T07:37:28.0348857Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:37:29.0737424Z accuracy pass_rate=66.67% 2025-09-07T07:37:29.0742625Z calls_captured gmean=0.00x mean=148.667x 2025-09-07T07:37:29.0746582Z unique_graphs gmean=0.00x mean=0.667x 2025-09-07T07:37:29.0750452Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:37:29.0756318Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:37:29.0758955Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T07:37:29.0762850Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T07:37:29.0766338Z cudagraph_skips gmean=0.00x mean=0.667x 2025-09-07T07:37:29.0767779Z compilation_latency mean=9.475 seconds 2025-09-07T07:37:29.5381518Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *cppwrapper-true* ]] 2025-09-07T07:37:29.5382228Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T07:37:29.5383615Z + taskset -c 0-62 python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --inference --bfloat16 --backend inductor --disable-cudagraphs --device cpu --total-partitions 15 --partition-id 13 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_accuracy.csv 2025-09-07T07:37:29.8751588Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:37:29.8752832Z import pynvml # type: ignore[import] 2025-09-07T07:37:32.8261183Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:37:32.8262379Z import pynvml # type: ignore[import] 2025-09-07T07:37:35.4352691Z 2025-09-07T07:37:37.5790562Z loading model: 0it [00:00, ?it/s]Traceback (most recent call last): 2025-09-07T07:37:37.5791197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 400, in __call__ 2025-09-07T07:37:37.5791811Z return super(self.cls, obj).__call__(*args, **kwargs) # type: ignore[misc] 2025-09-07T07:37:37.5792500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T07:37:37.5793066Z return self._call_impl(*args, **kwargs) 2025-09-07T07:37:37.5793591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T07:37:37.5794449Z return forward_call(*args, **kwargs) 2025-09-07T07:37:37.5794737Z File ".6", line 7, in forward 2025-09-07T07:37:37.5795421Z quantize_per_tensor = torch.quantize_per_tensor(x, conv1_input_scale_0, conv1_input_zero_point_0, torch.quint8); x = conv1_input_scale_0 = conv1_input_zero_point_0 = None 2025-09-07T07:37:37.5796175Z RuntimeError: Quantize only works on Float Tensor, got BFloat16 2025-09-07T07:37:37.5796446Z 2025-09-07T07:37:37.5796680Z Call using an FX-traced Module, line 7 of the traced Module's generated forward function: 2025-09-07T07:37:37.5797153Z conv1_input_zero_point_0 = self.conv1_input_zero_point_0 2025-09-07T07:37:37.5797875Z quantize_per_tensor = torch.quantize_per_tensor(x, conv1_input_scale_0, conv1_input_zero_point_0, torch.quint8); x = conv1_input_scale_0 = conv1_input_zero_point_0 = None 2025-09-07T07:37:37.5798457Z 2025-09-07T07:37:37.5798684Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE 2025-09-07T07:37:37.5799188Z conv1 = self.conv1(quantize_per_tensor); quantize_per_tensor = None 2025-09-07T07:37:37.5799470Z 2025-09-07T07:37:37.5799582Z maxpool = self.maxpool(conv1); conv1 = None 2025-09-07T07:37:37.5799790Z 2025-09-07T07:37:37.5799795Z 2025-09-07T07:37:37.5799876Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:37:37.5800141Z cpu eval resnet50_quantized_qat 2025-09-07T07:37:37.5800442Z Traceback (most recent call last): 2025-09-07T07:37:37.5800893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T07:37:37.5801381Z self.model_iter_fn(model, example_inputs) 2025-09-07T07:37:37.5801870Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:37:37.5802328Z return mod(*inputs) 2025-09-07T07:37:37.5802792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 837, in call_wrapped 2025-09-07T07:37:37.5803355Z return self._wrapped_call(self, *args, **kwargs) 2025-09-07T07:37:37.5803884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 411, in __call__ 2025-09-07T07:37:37.5804399Z raise e.with_traceback(None) # noqa: B904 2025-09-07T07:37:37.5804759Z RuntimeError: Quantize only works on Float Tensor, got BFloat16 2025-09-07T07:37:37.5805024Z 2025-09-07T07:37:37.5805204Z The above exception was the direct cause of the following exception: 2025-09-07T07:37:37.5805484Z 2025-09-07T07:37:37.5805572Z Traceback (most recent call last): 2025-09-07T07:37:37.5805976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T07:37:37.5806387Z ) = runner.load_model( 2025-09-07T07:37:37.5806804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T07:37:37.5807278Z self.validate_model(model, example_inputs) 2025-09-07T07:37:37.5807973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T07:37:37.5808475Z raise RuntimeError("Eager run failed") from e 2025-09-07T07:37:37.5808766Z RuntimeError: Eager run failed 2025-09-07T07:37:37.5808922Z 2025-09-07T07:37:37.5808990Z eager_fail_to_run 2025-09-07T07:37:38.5483746Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:37:38.5485013Z import pynvml # type: ignore[import] 2025-09-07T07:37:41.1578071Z 2025-09-07T07:37:42.3397498Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:37:42.3397781Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:37:42.3476965Z cpu eval resnext50_32x4d 2025-09-07T07:37:43.0348334Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:37:44.0298362Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:37:45.0207783Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:38:06.9703730Z pass 2025-09-07T07:38:06.9704786Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:38:08.4463001Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:38:08.4464184Z import pynvml # type: ignore[import] 2025-09-07T07:38:11.0500445Z 2025-09-07T07:38:11.4491312Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:38:11.4491622Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:38:11.4554587Z cpu eval shufflenet_v2_x1_0 2025-09-07T07:38:11.6633534Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:38:11.7675647Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:38:11.8664589Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:38:36.7060668Z pass 2025-09-07T07:38:36.7062069Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:38:37.9138999Z accuracy pass_rate=66.67% 2025-09-07T07:38:37.9144098Z calls_captured gmean=0.00x mean=148.667x 2025-09-07T07:38:37.9147905Z unique_graphs gmean=0.00x mean=0.667x 2025-09-07T07:38:37.9151674Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:38:37.9156103Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:38:37.9159814Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T07:38:37.9163495Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T07:38:37.9167085Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T07:38:37.9168144Z compilation_latency mean=15.211 seconds 2025-09-07T07:38:38.3617006Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *freezing_cudagraphs-true* ]] 2025-09-07T07:38:38.3618153Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *freeze_autotune_cudagraphs-true* ]] 2025-09-07T07:38:38.3619216Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *aotinductor-true* ]] 2025-09-07T07:38:38.3619855Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T07:38:38.3620112Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T07:38:38.3621762Z + taskset -c 0-62 python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --inference --bfloat16 --export --disable-cudagraphs --device cpu --total-partitions 15 --partition-id 13 --output /var/lib/jenkins/workspace/test/test-reports/inductor_export_torchbench_bfloat16_inference_cpu_aarch64_accuracy.csv 2025-09-07T07:38:38.6977027Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:38:38.6978185Z import pynvml # type: ignore[import] 2025-09-07T07:38:41.6427875Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:38:41.6429014Z import pynvml # type: ignore[import] 2025-09-07T07:38:44.2546125Z 2025-09-07T07:38:46.5411846Z loading model: 0it [00:00, ?it/s]Traceback (most recent call last): 2025-09-07T07:38:46.5412495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 400, in __call__ 2025-09-07T07:38:46.5413107Z return super(self.cls, obj).__call__(*args, **kwargs) # type: ignore[misc] 2025-09-07T07:38:46.5413784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T07:38:46.5414354Z return self._call_impl(*args, **kwargs) 2025-09-07T07:38:46.5414874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T07:38:46.5415398Z return forward_call(*args, **kwargs) 2025-09-07T07:38:46.5415674Z File ".6", line 7, in forward 2025-09-07T07:38:46.5416359Z quantize_per_tensor = torch.quantize_per_tensor(x, conv1_input_scale_0, conv1_input_zero_point_0, torch.quint8); x = conv1_input_scale_0 = conv1_input_zero_point_0 = None 2025-09-07T07:38:46.5417131Z RuntimeError: Quantize only works on Float Tensor, got BFloat16 2025-09-07T07:38:46.5417399Z 2025-09-07T07:38:46.5417638Z Call using an FX-traced Module, line 7 of the traced Module's generated forward function: 2025-09-07T07:38:46.5418113Z conv1_input_zero_point_0 = self.conv1_input_zero_point_0 2025-09-07T07:38:46.5418833Z quantize_per_tensor = torch.quantize_per_tensor(x, conv1_input_scale_0, conv1_input_zero_point_0, torch.quint8); x = conv1_input_scale_0 = conv1_input_zero_point_0 = None 2025-09-07T07:38:46.5419418Z 2025-09-07T07:38:46.5419640Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE 2025-09-07T07:38:46.5420157Z conv1 = self.conv1(quantize_per_tensor); quantize_per_tensor = None 2025-09-07T07:38:46.5420440Z 2025-09-07T07:38:46.5420550Z maxpool = self.maxpool(conv1); conv1 = None 2025-09-07T07:38:46.5420759Z 2025-09-07T07:38:46.5420763Z 2025-09-07T07:38:46.5420853Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:38:46.5421118Z cpu eval resnet50_quantized_qat 2025-09-07T07:38:46.5421401Z Traceback (most recent call last): 2025-09-07T07:38:46.5421858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T07:38:46.5422340Z self.model_iter_fn(model, example_inputs) 2025-09-07T07:38:46.5422818Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.5423270Z return mod(*inputs) 2025-09-07T07:38:46.5423737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 837, in call_wrapped 2025-09-07T07:38:46.5424287Z return self._wrapped_call(self, *args, **kwargs) 2025-09-07T07:38:46.5424817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 411, in __call__ 2025-09-07T07:38:46.5425338Z raise e.with_traceback(None) # noqa: B904 2025-09-07T07:38:46.5425973Z RuntimeError: Quantize only works on Float Tensor, got BFloat16 2025-09-07T07:38:46.5426269Z 2025-09-07T07:38:46.5426454Z The above exception was the direct cause of the following exception: 2025-09-07T07:38:46.5426734Z 2025-09-07T07:38:46.5426823Z Traceback (most recent call last): 2025-09-07T07:38:46.5427229Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T07:38:46.5427641Z ) = runner.load_model( 2025-09-07T07:38:46.5428054Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T07:38:46.5428535Z self.validate_model(model, example_inputs) 2025-09-07T07:38:46.5429014Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T07:38:46.5429496Z raise RuntimeError("Eager run failed") from e 2025-09-07T07:38:46.5429780Z RuntimeError: Eager run failed 2025-09-07T07:38:46.5430113Z 2025-09-07T07:38:46.5430185Z eager_fail_to_run 2025-09-07T07:38:47.5122478Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:38:47.5123624Z import pynvml # type: ignore[import] 2025-09-07T07:38:50.1164168Z 2025-09-07T07:38:51.3014740Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:38:51.3015030Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:38:51.3094089Z cpu eval resnext50_32x4d 2025-09-07T07:38:51.9998015Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:38:53.0095641Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:38:54.0157449Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:38:57.6994567Z pass 2025-09-07T07:38:57.6995063Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:38:58.6892849Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:38:58.6894023Z import pynvml # type: ignore[import] 2025-09-07T07:39:01.3091780Z 2025-09-07T07:39:01.7028300Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:39:01.7028586Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:39:01.7093200Z cpu eval shufflenet_v2_x1_0 2025-09-07T07:39:01.9167494Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:02.0198358Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:02.1175635Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:04.5324112Z pass 2025-09-07T07:39:04.5324590Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:05.1821435Z accuracy pass_rate=66.67% 2025-09-07T07:39:05.1826795Z calls_captured gmean=0.00x mean=148.667x 2025-09-07T07:39:05.1830936Z unique_graphs gmean=0.00x mean=0.667x 2025-09-07T07:39:05.1834812Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:39:05.1838585Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:39:05.1842323Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T07:39:05.1846102Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T07:39:05.1849840Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T07:39:05.1851210Z compilation_latency mean=0.871 seconds 2025-09-07T07:39:05.6456670Z + taskset -c 0-62 python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --inference --bfloat16 --export-aot-inductor --disable-cudagraphs --device cpu --total-partitions 15 --partition-id 13 --output /var/lib/jenkins/workspace/test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_accuracy.csv 2025-09-07T07:39:05.9819688Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:39:05.9820848Z import pynvml # type: ignore[import] 2025-09-07T07:39:08.9374162Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:39:08.9375704Z import pynvml # type: ignore[import] 2025-09-07T07:39:11.5353435Z 2025-09-07T07:39:13.8373753Z loading model: 0it [00:00, ?it/s]Traceback (most recent call last): 2025-09-07T07:39:13.8374384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 400, in __call__ 2025-09-07T07:39:13.8374995Z return super(self.cls, obj).__call__(*args, **kwargs) # type: ignore[misc] 2025-09-07T07:39:13.8375670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T07:39:13.8376242Z return self._call_impl(*args, **kwargs) 2025-09-07T07:39:13.8376773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T07:39:13.8377306Z return forward_call(*args, **kwargs) 2025-09-07T07:39:13.8377584Z File ".6", line 7, in forward 2025-09-07T07:39:13.8378295Z quantize_per_tensor = torch.quantize_per_tensor(x, conv1_input_scale_0, conv1_input_zero_point_0, torch.quint8); x = conv1_input_scale_0 = conv1_input_zero_point_0 = None 2025-09-07T07:39:13.8379067Z RuntimeError: Quantize only works on Float Tensor, got BFloat16 2025-09-07T07:39:13.8379340Z 2025-09-07T07:39:13.8379587Z Call using an FX-traced Module, line 7 of the traced Module's generated forward function: 2025-09-07T07:39:13.8380066Z conv1_input_zero_point_0 = self.conv1_input_zero_point_0 2025-09-07T07:39:13.8380819Z quantize_per_tensor = torch.quantize_per_tensor(x, conv1_input_scale_0, conv1_input_zero_point_0, torch.quint8); x = conv1_input_scale_0 = conv1_input_zero_point_0 = None 2025-09-07T07:39:13.8381409Z 2025-09-07T07:39:13.8381634Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE 2025-09-07T07:39:13.8382133Z conv1 = self.conv1(quantize_per_tensor); quantize_per_tensor = None 2025-09-07T07:39:13.8382426Z 2025-09-07T07:39:13.8382542Z maxpool = self.maxpool(conv1); conv1 = None 2025-09-07T07:39:13.8382751Z 2025-09-07T07:39:13.8382759Z 2025-09-07T07:39:13.8382846Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:39:13.8383117Z cpu eval resnet50_quantized_qat 2025-09-07T07:39:13.8383401Z Traceback (most recent call last): 2025-09-07T07:39:13.8383857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T07:39:13.8384340Z self.model_iter_fn(model, example_inputs) 2025-09-07T07:39:13.8384820Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:13.8385273Z return mod(*inputs) 2025-09-07T07:39:13.8385735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 837, in call_wrapped 2025-09-07T07:39:13.8386283Z return self._wrapped_call(self, *args, **kwargs) 2025-09-07T07:39:13.8386814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 411, in __call__ 2025-09-07T07:39:13.8387645Z raise e.with_traceback(None) # noqa: B904 2025-09-07T07:39:13.8388031Z RuntimeError: Quantize only works on Float Tensor, got BFloat16 2025-09-07T07:39:13.8388300Z 2025-09-07T07:39:13.8388481Z The above exception was the direct cause of the following exception: 2025-09-07T07:39:13.8388758Z 2025-09-07T07:39:13.8388846Z Traceback (most recent call last): 2025-09-07T07:39:13.8389248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T07:39:13.8389657Z ) = runner.load_model( 2025-09-07T07:39:13.8390066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T07:39:13.8390544Z self.validate_model(model, example_inputs) 2025-09-07T07:39:13.8391016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T07:39:13.8391671Z raise RuntimeError("Eager run failed") from e 2025-09-07T07:39:13.8391956Z RuntimeError: Eager run failed 2025-09-07T07:39:13.8392120Z 2025-09-07T07:39:13.8392190Z eager_fail_to_run 2025-09-07T07:39:14.8065997Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:39:14.8067259Z import pynvml # type: ignore[import] 2025-09-07T07:39:17.3936038Z 2025-09-07T07:39:18.5904687Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:39:18.5904984Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:39:18.5983231Z cpu eval resnext50_32x4d 2025-09-07T07:39:19.2815483Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:20.2977064Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:21.3098200Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:40.1446439Z pass 2025-09-07T07:39:40.1447745Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:41.6035656Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:39:41.6036841Z import pynvml # type: ignore[import] 2025-09-07T07:39:44.2192029Z 2025-09-07T07:39:44.6172170Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:39:44.6172477Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:39:44.6234240Z cpu eval shufflenet_v2_x1_0 2025-09-07T07:39:44.8339979Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:44.9362141Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:45.0332702Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:00.0252580Z pass 2025-09-07T07:40:00.0253735Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:01.2099494Z accuracy pass_rate=66.67% 2025-09-07T07:40:01.2104567Z calls_captured gmean=0.00x mean=0.000x 2025-09-07T07:40:01.2108313Z unique_graphs gmean=0.00x mean=0.000x 2025-09-07T07:40:01.2112072Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:40:01.2115785Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:40:01.2119502Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T07:40:01.2123129Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T07:40:01.2126658Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T07:40:01.2127789Z compilation_latency mean=0.000 seconds 2025-09-07T07:40:01.6584737Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *maxautotune-true* ]] 2025-09-07T07:40:01.6585858Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *cudagraphs_low_precision-true* ]] 2025-09-07T07:40:01.6586548Z + for target in "${targets[@]}" 2025-09-07T07:40:01.6586803Z + target_flag=('--performance') 2025-09-07T07:40:01.6587032Z + local target_flag 2025-09-07T07:40:01.6587243Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T07:40:01.6587522Z + target_flag+=(--cold-start-latency) 2025-09-07T07:40:01.6588135Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *freezing-true* ]] 2025-09-07T07:40:01.6589102Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *default-true* ]] 2025-09-07T07:40:01.6591055Z + taskset -c 0-62 python benchmarks/dynamo/torchbench.py --performance --cold-start-latency --inference --bfloat16 --backend inductor --disable-cudagraphs --device cpu --total-partitions 15 --partition-id 13 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_performance.csv 2025-09-07T07:40:01.9957348Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:40:01.9958563Z import pynvml # type: ignore[import] 2025-09-07T07:40:04.9502491Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:40:04.9503708Z import pynvml # type: ignore[import] 2025-09-07T07:40:07.5528429Z 2025-09-07T07:40:09.7342590Z loading model: 0it [00:00, ?it/s]Traceback (most recent call last): 2025-09-07T07:40:09.7343204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 400, in __call__ 2025-09-07T07:40:09.7343817Z return super(self.cls, obj).__call__(*args, **kwargs) # type: ignore[misc] 2025-09-07T07:40:09.7344486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T07:40:09.7345049Z return self._call_impl(*args, **kwargs) 2025-09-07T07:40:09.7345570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T07:40:09.7346093Z return forward_call(*args, **kwargs) 2025-09-07T07:40:09.7346371Z File ".6", line 7, in forward 2025-09-07T07:40:09.7347089Z quantize_per_tensor = torch.quantize_per_tensor(x, conv1_input_scale_0, conv1_input_zero_point_0, torch.quint8); x = conv1_input_scale_0 = conv1_input_zero_point_0 = None 2025-09-07T07:40:09.7347837Z RuntimeError: Quantize only works on Float Tensor, got BFloat16 2025-09-07T07:40:09.7348109Z 2025-09-07T07:40:09.7348343Z Call using an FX-traced Module, line 7 of the traced Module's generated forward function: 2025-09-07T07:40:09.7348817Z conv1_input_zero_point_0 = self.conv1_input_zero_point_0 2025-09-07T07:40:09.7349537Z quantize_per_tensor = torch.quantize_per_tensor(x, conv1_input_scale_0, conv1_input_zero_point_0, torch.quint8); x = conv1_input_scale_0 = conv1_input_zero_point_0 = None 2025-09-07T07:40:09.7350115Z 2025-09-07T07:40:09.7350340Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE 2025-09-07T07:40:09.7350838Z conv1 = self.conv1(quantize_per_tensor); quantize_per_tensor = None 2025-09-07T07:40:09.7351117Z 2025-09-07T07:40:09.7351488Z maxpool = self.maxpool(conv1); conv1 = None 2025-09-07T07:40:09.7351711Z 2025-09-07T07:40:09.7351735Z 2025-09-07T07:40:09.7351821Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:40:09.7352089Z cpu eval resnet50_quantized_qat 2025-09-07T07:40:09.7352373Z Traceback (most recent call last): 2025-09-07T07:40:09.7352823Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T07:40:09.7353300Z self.model_iter_fn(model, example_inputs) 2025-09-07T07:40:09.7353781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:40:09.7354322Z return mod(*inputs) 2025-09-07T07:40:09.7354788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 837, in call_wrapped 2025-09-07T07:40:09.7355333Z return self._wrapped_call(self, *args, **kwargs) 2025-09-07T07:40:09.7356048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 411, in __call__ 2025-09-07T07:40:09.7356560Z raise e.with_traceback(None) # noqa: B904 2025-09-07T07:40:09.7356921Z RuntimeError: Quantize only works on Float Tensor, got BFloat16 2025-09-07T07:40:09.7357186Z 2025-09-07T07:40:09.7357370Z The above exception was the direct cause of the following exception: 2025-09-07T07:40:09.7357644Z 2025-09-07T07:40:09.7357731Z Traceback (most recent call last): 2025-09-07T07:40:09.7358161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T07:40:09.7358569Z ) = runner.load_model( 2025-09-07T07:40:09.7358983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T07:40:09.7359459Z self.validate_model(model, example_inputs) 2025-09-07T07:40:09.7359930Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T07:40:09.7360424Z raise RuntimeError("Eager run failed") from e 2025-09-07T07:40:09.7360713Z RuntimeError: Eager run failed 2025-09-07T07:40:09.7360872Z 2025-09-07T07:40:09.7360944Z eager_fail_to_run 2025-09-07T07:40:10.7196672Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:40:10.7197891Z import pynvml # type: ignore[import] 2025-09-07T07:40:13.3209943Z 2025-09-07T07:40:15.0340609Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:40:15.0340901Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:40:15.0408592Z cpu eval resnext50_32x4d 2025-09-07T07:40:39.4760618Z 2025-09-07T07:40:41.3205415Z running benchmark: 0% 0/30 [00:00.6", line 7, in forward 2025-09-07T07:42:25.1641148Z quantize_per_tensor = torch.quantize_per_tensor(x, conv1_input_scale_0, conv1_input_zero_point_0, torch.quint8); x = conv1_input_scale_0 = conv1_input_zero_point_0 = None 2025-09-07T07:42:25.1641901Z RuntimeError: Quantize only works on Float Tensor, got BFloat16 2025-09-07T07:42:25.1642171Z 2025-09-07T07:42:25.1642403Z Call using an FX-traced Module, line 7 of the traced Module's generated forward function: 2025-09-07T07:42:25.1642875Z conv1_input_zero_point_0 = self.conv1_input_zero_point_0 2025-09-07T07:42:25.1643623Z quantize_per_tensor = torch.quantize_per_tensor(x, conv1_input_scale_0, conv1_input_zero_point_0, torch.quint8); x = conv1_input_scale_0 = conv1_input_zero_point_0 = None 2025-09-07T07:42:25.1644203Z 2025-09-07T07:42:25.1644435Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE 2025-09-07T07:42:25.1645130Z conv1 = self.conv1(quantize_per_tensor); quantize_per_tensor = None 2025-09-07T07:42:25.1645413Z 2025-09-07T07:42:25.1645523Z maxpool = self.maxpool(conv1); conv1 = None 2025-09-07T07:42:25.1645730Z 2025-09-07T07:42:25.1645735Z 2025-09-07T07:42:25.1645815Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:42:25.1646079Z cpu eval resnet50_quantized_qat 2025-09-07T07:42:25.1646363Z Traceback (most recent call last): 2025-09-07T07:42:25.1646811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T07:42:25.1647298Z self.model_iter_fn(model, example_inputs) 2025-09-07T07:42:25.1647777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:25.1648230Z return mod(*inputs) 2025-09-07T07:42:25.1648698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 837, in call_wrapped 2025-09-07T07:42:25.1649245Z return self._wrapped_call(self, *args, **kwargs) 2025-09-07T07:42:25.1649769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 411, in __call__ 2025-09-07T07:42:25.1650279Z raise e.with_traceback(None) # noqa: B904 2025-09-07T07:42:25.1650639Z RuntimeError: Quantize only works on Float Tensor, got BFloat16 2025-09-07T07:42:25.1650904Z 2025-09-07T07:42:25.1651085Z The above exception was the direct cause of the following exception: 2025-09-07T07:42:25.1651366Z 2025-09-07T07:42:25.1651454Z Traceback (most recent call last): 2025-09-07T07:42:25.1651856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T07:42:25.1652265Z ) = runner.load_model( 2025-09-07T07:42:25.1652679Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T07:42:25.1653157Z self.validate_model(model, example_inputs) 2025-09-07T07:42:25.1653637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T07:42:25.1654238Z raise RuntimeError("Eager run failed") from e 2025-09-07T07:42:25.1654529Z RuntimeError: Eager run failed 2025-09-07T07:42:25.1654687Z 2025-09-07T07:42:25.1654756Z eager_fail_to_run 2025-09-07T07:42:26.1328597Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:42:26.1329754Z import pynvml # type: ignore[import] 2025-09-07T07:42:28.7445186Z 2025-09-07T07:42:30.4137134Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:42:30.4137426Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:42:30.4209281Z cpu eval resnext50_32x4d 2025-09-07T07:42:42.6812354Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.6812955Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.6813252Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.6813528Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.6813795Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.6814199Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.6814524Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.6814840Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.6815151Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.6815425Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.6815694Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.6815962Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.6816231Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.6816497Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.6816765Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.6817249Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.6817527Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.6817806Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.6818115Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6818635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6819102Z return mod(*inputs) 2025-09-07T07:42:42.6819574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6820091Z return self._forward_impl(x) 2025-09-07T07:42:42.6820608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl 2025-09-07T07:42:42.6821130Z x = self.conv1(x) 2025-09-07T07:42:42.6821255Z 2025-09-07T07:42:42.6821391Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6821910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6822368Z return mod(*inputs) 2025-09-07T07:42:42.6822832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6823343Z return self._forward_impl(x) 2025-09-07T07:42:42.6823855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl 2025-09-07T07:42:42.6824372Z x = self.relu(x) 2025-09-07T07:42:42.6824500Z 2025-09-07T07:42:42.6824634Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6825148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6825601Z return mod(*inputs) 2025-09-07T07:42:42.6826051Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6826568Z return self._forward_impl(x) 2025-09-07T07:42:42.6827088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl 2025-09-07T07:42:42.6827617Z x = self.maxpool(x) 2025-09-07T07:42:42.6827747Z 2025-09-07T07:42:42.6827984Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6828493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6828945Z return mod(*inputs) 2025-09-07T07:42:42.6829398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6829912Z return self._forward_impl(x) 2025-09-07T07:42:42.6830424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:42:42.6830939Z x = self.layer1(x) 2025-09-07T07:42:42.6831397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:42:42.6831897Z out = self.conv1(x) 2025-09-07T07:42:42.6832162Z 2025-09-07T07:42:42.6832313Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6832826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6833278Z return mod(*inputs) 2025-09-07T07:42:42.6833737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6834243Z return self._forward_impl(x) 2025-09-07T07:42:42.6834752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:42:42.6835264Z x = self.layer1(x) 2025-09-07T07:42:42.6835718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:42:42.6836215Z out = self.relu(out) 2025-09-07T07:42:42.6836350Z 2025-09-07T07:42:42.6836577Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6837089Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6837543Z return mod(*inputs) 2025-09-07T07:42:42.6837998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6838503Z return self._forward_impl(x) 2025-09-07T07:42:42.6839008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:42:42.6839524Z x = self.layer1(x) 2025-09-07T07:42:42.6839978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:42:42.6840470Z out = self.conv2(out) 2025-09-07T07:42:42.6840608Z 2025-09-07T07:42:42.6840746Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6841249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6841709Z return mod(*inputs) 2025-09-07T07:42:42.6842165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6842669Z return self._forward_impl(x) 2025-09-07T07:42:42.6843183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:42:42.6843696Z x = self.layer1(x) 2025-09-07T07:42:42.6844154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:42:42.6844648Z out = self.relu(out) 2025-09-07T07:42:42.6844783Z 2025-09-07T07:42:42.6844918Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6845422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6845878Z return mod(*inputs) 2025-09-07T07:42:42.6846345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6846918Z return self._forward_impl(x) 2025-09-07T07:42:42.6847428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:42:42.6847943Z x = self.layer1(x) 2025-09-07T07:42:42.6848398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:42:42.6848894Z out = self.conv3(out) 2025-09-07T07:42:42.6849031Z 2025-09-07T07:42:42.6849167Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6849671Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6850121Z return mod(*inputs) 2025-09-07T07:42:42.6850573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6851081Z return self._forward_impl(x) 2025-09-07T07:42:42.6851716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:42:42.6852241Z x = self.layer1(x) 2025-09-07T07:42:42.6852693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward 2025-09-07T07:42:42.6853198Z identity = self.downsample(x) 2025-09-07T07:42:42.6853364Z 2025-09-07T07:42:42.6853500Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6854086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6854542Z return mod(*inputs) 2025-09-07T07:42:42.6854996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6855498Z return self._forward_impl(x) 2025-09-07T07:42:42.6856006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:42:42.6856731Z x = self.layer1(x) 2025-09-07T07:42:42.6857182Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:42:42.6857674Z out = self.conv1(x) 2025-09-07T07:42:42.6857803Z 2025-09-07T07:42:42.6857939Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6858447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6858894Z return mod(*inputs) 2025-09-07T07:42:42.6859346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6859847Z return self._forward_impl(x) 2025-09-07T07:42:42.6860352Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:42:42.6860864Z x = self.layer1(x) 2025-09-07T07:42:42.6861318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:42:42.6861811Z out = self.relu(out) 2025-09-07T07:42:42.6861944Z 2025-09-07T07:42:42.6862080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6862586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6863033Z return mod(*inputs) 2025-09-07T07:42:42.6863483Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6863988Z return self._forward_impl(x) 2025-09-07T07:42:42.6864498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:42:42.6865009Z x = self.layer1(x) 2025-09-07T07:42:42.6865459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:42:42.6865957Z out = self.conv2(out) 2025-09-07T07:42:42.6866092Z 2025-09-07T07:42:42.6866234Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6866743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6867191Z return mod(*inputs) 2025-09-07T07:42:42.6867664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6868170Z return self._forward_impl(x) 2025-09-07T07:42:42.6868681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:42:42.6869198Z x = self.layer1(x) 2025-09-07T07:42:42.6869651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:42:42.6870147Z out = self.relu(out) 2025-09-07T07:42:42.6870283Z 2025-09-07T07:42:42.6870419Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6871117Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6871581Z return mod(*inputs) 2025-09-07T07:42:42.6872036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6872542Z return self._forward_impl(x) 2025-09-07T07:42:42.6873053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:42:42.6873566Z x = self.layer1(x) 2025-09-07T07:42:42.6874014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:42:42.6874509Z out = self.conv3(out) 2025-09-07T07:42:42.6874647Z 2025-09-07T07:42:42.6874782Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6875289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6875852Z return mod(*inputs) 2025-09-07T07:42:42.6876312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6876817Z return self._forward_impl(x) 2025-09-07T07:42:42.6877325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:42:42.6877837Z x = self.layer1(x) 2025-09-07T07:42:42.6878290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:42:42.6878782Z out = self.relu(out) 2025-09-07T07:42:42.6878915Z 2025-09-07T07:42:42.6879054Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6879561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6880010Z return mod(*inputs) 2025-09-07T07:42:42.6880463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6880976Z return self._forward_impl(x) 2025-09-07T07:42:42.6881482Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:42:42.6881995Z x = self.layer1(x) 2025-09-07T07:42:42.6882443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:42:42.6882937Z out = self.conv1(x) 2025-09-07T07:42:42.6883066Z 2025-09-07T07:42:42.6883204Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6883708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6884158Z return mod(*inputs) 2025-09-07T07:42:42.6884612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6885120Z return self._forward_impl(x) 2025-09-07T07:42:42.6885632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:42:42.6886145Z x = self.layer1(x) 2025-09-07T07:42:42.6886596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:42:42.6887091Z out = self.relu(out) 2025-09-07T07:42:42.6887226Z 2025-09-07T07:42:42.6887364Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6887869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6888318Z return mod(*inputs) 2025-09-07T07:42:42.6888773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6889283Z return self._forward_impl(x) 2025-09-07T07:42:42.6889797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:42:42.6890320Z x = self.layer1(x) 2025-09-07T07:42:42.6891428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:42:42.6891965Z out = self.conv2(out) 2025-09-07T07:42:42.6892104Z 2025-09-07T07:42:42.6892242Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6892747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6893195Z return mod(*inputs) 2025-09-07T07:42:42.6893652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6894157Z return self._forward_impl(x) 2025-09-07T07:42:42.6894666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:42:42.6895178Z x = self.layer1(x) 2025-09-07T07:42:42.6895712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:42:42.6896212Z out = self.relu(out) 2025-09-07T07:42:42.6896348Z 2025-09-07T07:42:42.6896484Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6896991Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6897442Z return mod(*inputs) 2025-09-07T07:42:42.6897897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6898399Z return self._forward_impl(x) 2025-09-07T07:42:42.6898907Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:42:42.6899422Z x = self.layer1(x) 2025-09-07T07:42:42.6899867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:42:42.6900367Z out = self.conv3(out) 2025-09-07T07:42:42.6900504Z 2025-09-07T07:42:42.6900642Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6901148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6901595Z return mod(*inputs) 2025-09-07T07:42:42.6902047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6902552Z return self._forward_impl(x) 2025-09-07T07:42:42.6903060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T07:42:42.6903578Z x = self.layer1(x) 2025-09-07T07:42:42.6904024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:42:42.6904515Z out = self.relu(out) 2025-09-07T07:42:42.6904648Z 2025-09-07T07:42:42.6904783Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6905301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6905751Z return mod(*inputs) 2025-09-07T07:42:42.6906203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6906707Z return self._forward_impl(x) 2025-09-07T07:42:42.6907217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6907734Z x = self.layer2(x) 2025-09-07T07:42:42.6908181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:42:42.6908674Z out = self.conv1(x) 2025-09-07T07:42:42.6908804Z 2025-09-07T07:42:42.6908940Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6909451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6909908Z return mod(*inputs) 2025-09-07T07:42:42.6910477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6910990Z return self._forward_impl(x) 2025-09-07T07:42:42.6911500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6912014Z x = self.layer2(x) 2025-09-07T07:42:42.6912462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:42:42.6912959Z out = self.relu(out) 2025-09-07T07:42:42.6913093Z 2025-09-07T07:42:42.6913229Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6913738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6914187Z return mod(*inputs) 2025-09-07T07:42:42.6914639Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6915233Z return self._forward_impl(x) 2025-09-07T07:42:42.6915750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6916266Z x = self.layer2(x) 2025-09-07T07:42:42.6916713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:42:42.6917210Z out = self.conv2(out) 2025-09-07T07:42:42.6917346Z 2025-09-07T07:42:42.6917481Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6917993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6918444Z return mod(*inputs) 2025-09-07T07:42:42.6918897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6919401Z return self._forward_impl(x) 2025-09-07T07:42:42.6919920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6920436Z x = self.layer2(x) 2025-09-07T07:42:42.6920879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:42:42.6921371Z out = self.relu(out) 2025-09-07T07:42:42.6921503Z 2025-09-07T07:42:42.6921640Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6922148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6922592Z return mod(*inputs) 2025-09-07T07:42:42.6923045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6923547Z return self._forward_impl(x) 2025-09-07T07:42:42.6924054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6924574Z x = self.layer2(x) 2025-09-07T07:42:42.6925025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:42:42.6925518Z out = self.conv3(out) 2025-09-07T07:42:42.6925655Z 2025-09-07T07:42:42.6925789Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6926298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6926744Z return mod(*inputs) 2025-09-07T07:42:42.6927197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6927698Z return self._forward_impl(x) 2025-09-07T07:42:42.6928206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6928718Z x = self.layer2(x) 2025-09-07T07:42:42.6929164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward 2025-09-07T07:42:42.6929801Z identity = self.downsample(x) 2025-09-07T07:42:42.6929978Z 2025-09-07T07:42:42.6930115Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6930624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6931070Z return mod(*inputs) 2025-09-07T07:42:42.6931524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6932026Z return self._forward_impl(x) 2025-09-07T07:42:42.6932536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6933053Z x = self.layer2(x) 2025-09-07T07:42:42.6933500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:42:42.6933994Z out = self.conv1(x) 2025-09-07T07:42:42.6934249Z 2025-09-07T07:42:42.6934382Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6934897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6935347Z return mod(*inputs) 2025-09-07T07:42:42.6935799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6936303Z return self._forward_impl(x) 2025-09-07T07:42:42.6936811Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6937329Z x = self.layer2(x) 2025-09-07T07:42:42.6937775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:42:42.6938271Z out = self.relu(out) 2025-09-07T07:42:42.6938408Z 2025-09-07T07:42:42.6938540Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6939052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6939505Z return mod(*inputs) 2025-09-07T07:42:42.6939961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6940466Z return self._forward_impl(x) 2025-09-07T07:42:42.6940976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6941493Z x = self.layer2(x) 2025-09-07T07:42:42.6941939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:42:42.6942436Z out = self.conv2(out) 2025-09-07T07:42:42.6942578Z 2025-09-07T07:42:42.6942709Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6943216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6943669Z return mod(*inputs) 2025-09-07T07:42:42.6944124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6944627Z return self._forward_impl(x) 2025-09-07T07:42:42.6945137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6945655Z x = self.layer2(x) 2025-09-07T07:42:42.6946102Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:42:42.6946597Z out = self.relu(out) 2025-09-07T07:42:42.6946734Z 2025-09-07T07:42:42.6946865Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6947372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6947819Z return mod(*inputs) 2025-09-07T07:42:42.6948274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6948779Z return self._forward_impl(x) 2025-09-07T07:42:42.6949408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6949931Z x = self.layer2(x) 2025-09-07T07:42:42.6950377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:42:42.6950873Z out = self.conv3(out) 2025-09-07T07:42:42.6951014Z 2025-09-07T07:42:42.6951144Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6951653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6952103Z return mod(*inputs) 2025-09-07T07:42:42.6952556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6953061Z return self._forward_impl(x) 2025-09-07T07:42:42.6953570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6954253Z x = self.layer2(x) 2025-09-07T07:42:42.6954712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:42:42.6955201Z out = self.relu(out) 2025-09-07T07:42:42.6955337Z 2025-09-07T07:42:42.6955467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6955973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6956419Z return mod(*inputs) 2025-09-07T07:42:42.6956872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6957377Z return self._forward_impl(x) 2025-09-07T07:42:42.6957885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6958404Z x = self.layer2(x) 2025-09-07T07:42:42.6958853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:42:42.6959342Z out = self.conv1(x) 2025-09-07T07:42:42.6959477Z 2025-09-07T07:42:42.6959608Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6960113Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6960559Z return mod(*inputs) 2025-09-07T07:42:42.6961015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6961517Z return self._forward_impl(x) 2025-09-07T07:42:42.6962025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6962541Z x = self.layer2(x) 2025-09-07T07:42:42.6962984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:42:42.6963483Z out = self.relu(out) 2025-09-07T07:42:42.6963620Z 2025-09-07T07:42:42.6963971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6964480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6964933Z return mod(*inputs) 2025-09-07T07:42:42.6965387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6965891Z return self._forward_impl(x) 2025-09-07T07:42:42.6966401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6966917Z x = self.layer2(x) 2025-09-07T07:42:42.6967363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:42:42.6967858Z out = self.conv2(out) 2025-09-07T07:42:42.6967998Z 2025-09-07T07:42:42.6968135Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6968833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6969303Z return mod(*inputs) 2025-09-07T07:42:42.6969756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6970260Z return self._forward_impl(x) 2025-09-07T07:42:42.6970767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6971282Z x = self.layer2(x) 2025-09-07T07:42:42.6971727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:42:42.6972219Z out = self.relu(out) 2025-09-07T07:42:42.6972358Z 2025-09-07T07:42:42.6972489Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6972995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6973587Z return mod(*inputs) 2025-09-07T07:42:42.6974045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6974549Z return self._forward_impl(x) 2025-09-07T07:42:42.6975061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6975575Z x = self.layer2(x) 2025-09-07T07:42:42.6976024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:42:42.6976523Z out = self.conv3(out) 2025-09-07T07:42:42.6976667Z 2025-09-07T07:42:42.6976800Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6977308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6977760Z return mod(*inputs) 2025-09-07T07:42:42.6978219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6978726Z return self._forward_impl(x) 2025-09-07T07:42:42.6979235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6979753Z x = self.layer2(x) 2025-09-07T07:42:42.6980202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:42:42.6980694Z out = self.relu(out) 2025-09-07T07:42:42.6980832Z 2025-09-07T07:42:42.6980966Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6981476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6981928Z return mod(*inputs) 2025-09-07T07:42:42.6982375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6982883Z return self._forward_impl(x) 2025-09-07T07:42:42.6983396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6983915Z x = self.layer2(x) 2025-09-07T07:42:42.6984360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:42:42.6984855Z out = self.conv1(x) 2025-09-07T07:42:42.6984989Z 2025-09-07T07:42:42.6985119Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6985631Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6986082Z return mod(*inputs) 2025-09-07T07:42:42.6986530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6987034Z return self._forward_impl(x) 2025-09-07T07:42:42.6987541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6988064Z x = self.layer2(x) 2025-09-07T07:42:42.6988633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:42:42.6989138Z out = self.relu(out) 2025-09-07T07:42:42.6989278Z 2025-09-07T07:42:42.6989410Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6989918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6990371Z return mod(*inputs) 2025-09-07T07:42:42.6990821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6991324Z return self._forward_impl(x) 2025-09-07T07:42:42.6991831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6992347Z x = self.layer2(x) 2025-09-07T07:42:42.6992887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:42:42.6993385Z out = self.conv2(out) 2025-09-07T07:42:42.6993528Z 2025-09-07T07:42:42.6993663Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6994175Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6994629Z return mod(*inputs) 2025-09-07T07:42:42.6995081Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6995585Z return self._forward_impl(x) 2025-09-07T07:42:42.6996092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.6996613Z x = self.layer2(x) 2025-09-07T07:42:42.6997060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:42:42.6997560Z out = self.relu(out) 2025-09-07T07:42:42.6997697Z 2025-09-07T07:42:42.6997831Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.6998346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.6998802Z return mod(*inputs) 2025-09-07T07:42:42.6999254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.6999758Z return self._forward_impl(x) 2025-09-07T07:42:42.7000268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.7000788Z x = self.layer2(x) 2025-09-07T07:42:42.7001234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:42:42.7001730Z out = self.conv3(out) 2025-09-07T07:42:42.7001870Z 2025-09-07T07:42:42.7002002Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7002520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7002973Z return mod(*inputs) 2025-09-07T07:42:42.7003421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7003926Z return self._forward_impl(x) 2025-09-07T07:42:42.7004437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T07:42:42.7004954Z x = self.layer2(x) 2025-09-07T07:42:42.7005406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:42:42.7005907Z out = self.relu(out) 2025-09-07T07:42:42.7006045Z 2025-09-07T07:42:42.7006176Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7006687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7007144Z return mod(*inputs) 2025-09-07T07:42:42.7007737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7008254Z return self._forward_impl(x) 2025-09-07T07:42:42.7008771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7009289Z x = self.layer3(x) 2025-09-07T07:42:42.7009736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:42:42.7010230Z out = self.conv1(x) 2025-09-07T07:42:42.7010363Z 2025-09-07T07:42:42.7010493Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7011004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7011457Z return mod(*inputs) 2025-09-07T07:42:42.7011905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7012501Z return self._forward_impl(x) 2025-09-07T07:42:42.7013010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7013527Z x = self.layer3(x) 2025-09-07T07:42:42.7013975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:42:42.7014469Z out = self.relu(out) 2025-09-07T07:42:42.7014607Z 2025-09-07T07:42:42.7014739Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7015247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7015698Z return mod(*inputs) 2025-09-07T07:42:42.7016149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7016652Z return self._forward_impl(x) 2025-09-07T07:42:42.7017171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7017690Z x = self.layer3(x) 2025-09-07T07:42:42.7018139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:42:42.7018635Z out = self.conv2(out) 2025-09-07T07:42:42.7018777Z 2025-09-07T07:42:42.7018908Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7019421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7019875Z return mod(*inputs) 2025-09-07T07:42:42.7020325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7020828Z return self._forward_impl(x) 2025-09-07T07:42:42.7021337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7021862Z x = self.layer3(x) 2025-09-07T07:42:42.7022310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:42:42.7022808Z out = self.relu(out) 2025-09-07T07:42:42.7022947Z 2025-09-07T07:42:42.7023078Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7023588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7024044Z return mod(*inputs) 2025-09-07T07:42:42.7024493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7024997Z return self._forward_impl(x) 2025-09-07T07:42:42.7025509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7026025Z x = self.layer3(x) 2025-09-07T07:42:42.7026472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:42:42.7027134Z out = self.conv3(out) 2025-09-07T07:42:42.7027295Z 2025-09-07T07:42:42.7027427Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7027936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7028390Z return mod(*inputs) 2025-09-07T07:42:42.7028842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7029346Z return self._forward_impl(x) 2025-09-07T07:42:42.7029852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7030369Z x = self.layer3(x) 2025-09-07T07:42:42.7030817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward 2025-09-07T07:42:42.7031323Z identity = self.downsample(x) 2025-09-07T07:42:42.7031580Z 2025-09-07T07:42:42.7031720Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7032235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7032685Z return mod(*inputs) 2025-09-07T07:42:42.7033135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7033639Z return self._forward_impl(x) 2025-09-07T07:42:42.7034145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7034659Z x = self.layer3(x) 2025-09-07T07:42:42.7035104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:42:42.7035594Z out = self.conv1(x) 2025-09-07T07:42:42.7035726Z 2025-09-07T07:42:42.7035856Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7036372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7036823Z return mod(*inputs) 2025-09-07T07:42:42.7037271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7037776Z return self._forward_impl(x) 2025-09-07T07:42:42.7038288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7038806Z x = self.layer3(x) 2025-09-07T07:42:42.7039254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:42:42.7039752Z out = self.relu(out) 2025-09-07T07:42:42.7039889Z 2025-09-07T07:42:42.7040018Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7040542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7041002Z return mod(*inputs) 2025-09-07T07:42:42.7041456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7041959Z return self._forward_impl(x) 2025-09-07T07:42:42.7042468Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7042987Z x = self.layer3(x) 2025-09-07T07:42:42.7055059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:42:42.7055685Z out = self.conv2(out) 2025-09-07T07:42:42.7055837Z 2025-09-07T07:42:42.7055975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7056493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7056949Z return mod(*inputs) 2025-09-07T07:42:42.7057407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7057937Z return self._forward_impl(x) 2025-09-07T07:42:42.7058673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7059215Z x = self.layer3(x) 2025-09-07T07:42:42.7059667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:42:42.7060165Z out = self.relu(out) 2025-09-07T07:42:42.7060298Z 2025-09-07T07:42:42.7060429Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7060941Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7061394Z return mod(*inputs) 2025-09-07T07:42:42.7061847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7062352Z return self._forward_impl(x) 2025-09-07T07:42:42.7063005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7063525Z x = self.layer3(x) 2025-09-07T07:42:42.7063974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:42:42.7064473Z out = self.conv3(out) 2025-09-07T07:42:42.7064611Z 2025-09-07T07:42:42.7064744Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7065256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7065710Z return mod(*inputs) 2025-09-07T07:42:42.7066162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7066661Z return self._forward_impl(x) 2025-09-07T07:42:42.7067169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7067692Z x = self.layer3(x) 2025-09-07T07:42:42.7068149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:42:42.7068648Z out = self.relu(out) 2025-09-07T07:42:42.7068783Z 2025-09-07T07:42:42.7068914Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7069424Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7069879Z return mod(*inputs) 2025-09-07T07:42:42.7070332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7070833Z return self._forward_impl(x) 2025-09-07T07:42:42.7071345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7071863Z x = self.layer3(x) 2025-09-07T07:42:42.7072316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:42:42.7072819Z out = self.conv1(x) 2025-09-07T07:42:42.7072953Z 2025-09-07T07:42:42.7073083Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7073593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7074044Z return mod(*inputs) 2025-09-07T07:42:42.7074498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7075000Z return self._forward_impl(x) 2025-09-07T07:42:42.7075508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7076024Z x = self.layer3(x) 2025-09-07T07:42:42.7076476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:42:42.7076972Z out = self.relu(out) 2025-09-07T07:42:42.7077109Z 2025-09-07T07:42:42.7077244Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7077882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7078357Z return mod(*inputs) 2025-09-07T07:42:42.7078813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7079314Z return self._forward_impl(x) 2025-09-07T07:42:42.7079822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7080341Z x = self.layer3(x) 2025-09-07T07:42:42.7080792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:42:42.7081287Z out = self.conv2(out) 2025-09-07T07:42:42.7081424Z 2025-09-07T07:42:42.7081553Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7082158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7082614Z return mod(*inputs) 2025-09-07T07:42:42.7083068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7083566Z return self._forward_impl(x) 2025-09-07T07:42:42.7084073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7084588Z x = self.layer3(x) 2025-09-07T07:42:42.7085034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:42:42.7085525Z out = self.relu(out) 2025-09-07T07:42:42.7085657Z 2025-09-07T07:42:42.7085788Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7086298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7086749Z return mod(*inputs) 2025-09-07T07:42:42.7087210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7087710Z return self._forward_impl(x) 2025-09-07T07:42:42.7088218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7088737Z x = self.layer3(x) 2025-09-07T07:42:42.7089186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:42:42.7089682Z out = self.conv3(out) 2025-09-07T07:42:42.7089818Z 2025-09-07T07:42:42.7089949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7090458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7090910Z return mod(*inputs) 2025-09-07T07:42:42.7091364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7091868Z return self._forward_impl(x) 2025-09-07T07:42:42.7092385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7092903Z x = self.layer3(x) 2025-09-07T07:42:42.7093356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:42:42.7093848Z out = self.relu(out) 2025-09-07T07:42:42.7093982Z 2025-09-07T07:42:42.7094113Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7094619Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7095071Z return mod(*inputs) 2025-09-07T07:42:42.7095528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7096027Z return self._forward_impl(x) 2025-09-07T07:42:42.7096538Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7097180Z x = self.layer3(x) 2025-09-07T07:42:42.7097652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:42:42.7098149Z out = self.conv1(x) 2025-09-07T07:42:42.7098279Z 2025-09-07T07:42:42.7098412Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7098922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7099374Z return mod(*inputs) 2025-09-07T07:42:42.7099828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7100328Z return self._forward_impl(x) 2025-09-07T07:42:42.7100835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7101354Z x = self.layer3(x) 2025-09-07T07:42:42.7101926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:42:42.7102426Z out = self.relu(out) 2025-09-07T07:42:42.7102560Z 2025-09-07T07:42:42.7102694Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7103205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7103656Z return mod(*inputs) 2025-09-07T07:42:42.7104114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7104614Z return self._forward_impl(x) 2025-09-07T07:42:42.7105120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7105635Z x = self.layer3(x) 2025-09-07T07:42:42.7106085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:42:42.7106585Z out = self.conv2(out) 2025-09-07T07:42:42.7106723Z 2025-09-07T07:42:42.7106859Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7107372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7107821Z return mod(*inputs) 2025-09-07T07:42:42.7108276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7108780Z return self._forward_impl(x) 2025-09-07T07:42:42.7109287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7109803Z x = self.layer3(x) 2025-09-07T07:42:42.7110254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:42:42.7110748Z out = self.relu(out) 2025-09-07T07:42:42.7110880Z 2025-09-07T07:42:42.7111016Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7111532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7111987Z return mod(*inputs) 2025-09-07T07:42:42.7112440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7112941Z return self._forward_impl(x) 2025-09-07T07:42:42.7113453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7113969Z x = self.layer3(x) 2025-09-07T07:42:42.7114422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:42:42.7114920Z out = self.conv3(out) 2025-09-07T07:42:42.7115059Z 2025-09-07T07:42:42.7115188Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7115696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7116151Z return mod(*inputs) 2025-09-07T07:42:42.7116730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7117262Z return self._forward_impl(x) 2025-09-07T07:42:42.7117774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7118292Z x = self.layer3(x) 2025-09-07T07:42:42.7118742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:42:42.7119235Z out = self.relu(out) 2025-09-07T07:42:42.7119368Z 2025-09-07T07:42:42.7119501Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7120009Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7120457Z return mod(*inputs) 2025-09-07T07:42:42.7121029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7121538Z return self._forward_impl(x) 2025-09-07T07:42:42.7122047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7122563Z x = self.layer3(x) 2025-09-07T07:42:42.7123013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:42:42.7123504Z out = self.conv1(x) 2025-09-07T07:42:42.7123632Z 2025-09-07T07:42:42.7123762Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7124271Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7124722Z return mod(*inputs) 2025-09-07T07:42:42.7125172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7125677Z return self._forward_impl(x) 2025-09-07T07:42:42.7126189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7126705Z x = self.layer3(x) 2025-09-07T07:42:42.7127153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:42:42.7127649Z out = self.relu(out) 2025-09-07T07:42:42.7127782Z 2025-09-07T07:42:42.7127910Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7128418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7128872Z return mod(*inputs) 2025-09-07T07:42:42.7129323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7129827Z return self._forward_impl(x) 2025-09-07T07:42:42.7130337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7130858Z x = self.layer3(x) 2025-09-07T07:42:42.7131313Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:42:42.7131811Z out = self.conv2(out) 2025-09-07T07:42:42.7131948Z 2025-09-07T07:42:42.7132080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7132590Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7133046Z return mod(*inputs) 2025-09-07T07:42:42.7133498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7134001Z return self._forward_impl(x) 2025-09-07T07:42:42.7134513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7135034Z x = self.layer3(x) 2025-09-07T07:42:42.7135492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:42:42.7136119Z out = self.relu(out) 2025-09-07T07:42:42.7136276Z 2025-09-07T07:42:42.7136418Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7136931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7137377Z return mod(*inputs) 2025-09-07T07:42:42.7137829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7138331Z return self._forward_impl(x) 2025-09-07T07:42:42.7138839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7139359Z x = self.layer3(x) 2025-09-07T07:42:42.7139812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:42:42.7140438Z out = self.conv3(out) 2025-09-07T07:42:42.7140579Z 2025-09-07T07:42:42.7140714Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7141226Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7141678Z return mod(*inputs) 2025-09-07T07:42:42.7142129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7142634Z return self._forward_impl(x) 2025-09-07T07:42:42.7143145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7143664Z x = self.layer3(x) 2025-09-07T07:42:42.7144120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:42:42.7144611Z out = self.relu(out) 2025-09-07T07:42:42.7144748Z 2025-09-07T07:42:42.7144879Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7145397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7145854Z return mod(*inputs) 2025-09-07T07:42:42.7146304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7146808Z return self._forward_impl(x) 2025-09-07T07:42:42.7147318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7147835Z x = self.layer3(x) 2025-09-07T07:42:42.7148284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:42:42.7148774Z out = self.conv1(x) 2025-09-07T07:42:42.7148907Z 2025-09-07T07:42:42.7149038Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7149544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7150000Z return mod(*inputs) 2025-09-07T07:42:42.7150453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7150960Z return self._forward_impl(x) 2025-09-07T07:42:42.7151473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7151990Z x = self.layer3(x) 2025-09-07T07:42:42.7152438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:42:42.7152930Z out = self.relu(out) 2025-09-07T07:42:42.7153068Z 2025-09-07T07:42:42.7153200Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7153712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7154263Z return mod(*inputs) 2025-09-07T07:42:42.7154715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7155414Z return self._forward_impl(x) 2025-09-07T07:42:42.7155936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7156454Z x = self.layer3(x) 2025-09-07T07:42:42.7156902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:42:42.7157392Z out = self.conv2(out) 2025-09-07T07:42:42.7157532Z 2025-09-07T07:42:42.7157663Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7158170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7158623Z return mod(*inputs) 2025-09-07T07:42:42.7159072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7159577Z return self._forward_impl(x) 2025-09-07T07:42:42.7160224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7160743Z x = self.layer3(x) 2025-09-07T07:42:42.7161196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:42:42.7161686Z out = self.relu(out) 2025-09-07T07:42:42.7161825Z 2025-09-07T07:42:42.7161955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7162462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7162915Z return mod(*inputs) 2025-09-07T07:42:42.7163363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7163867Z return self._forward_impl(x) 2025-09-07T07:42:42.7164376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7164898Z x = self.layer3(x) 2025-09-07T07:42:42.7165351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:42:42.7165842Z out = self.conv3(out) 2025-09-07T07:42:42.7165985Z 2025-09-07T07:42:42.7166117Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7166623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7167074Z return mod(*inputs) 2025-09-07T07:42:42.7167525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7168025Z return self._forward_impl(x) 2025-09-07T07:42:42.7168534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T07:42:42.7169052Z x = self.layer3(x) 2025-09-07T07:42:42.7169501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:42:42.7170002Z out = self.relu(out) 2025-09-07T07:42:42.7170144Z 2025-09-07T07:42:42.7170274Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7170782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7171234Z return mod(*inputs) 2025-09-07T07:42:42.7171684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7172190Z return self._forward_impl(x) 2025-09-07T07:42:42.7172702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:42:42.7173216Z x = self.layer4(x) 2025-09-07T07:42:42.7173664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:42:42.7174151Z out = self.conv1(x) 2025-09-07T07:42:42.7174294Z 2025-09-07T07:42:42.7174425Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7175059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7175521Z return mod(*inputs) 2025-09-07T07:42:42.7175972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7176477Z return self._forward_impl(x) 2025-09-07T07:42:42.7176987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:42:42.7177503Z x = self.layer4(x) 2025-09-07T07:42:42.7177952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:42:42.7178441Z out = self.relu(out) 2025-09-07T07:42:42.7178577Z 2025-09-07T07:42:42.7178707Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7179300Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7179757Z return mod(*inputs) 2025-09-07T07:42:42.7180207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7180710Z return self._forward_impl(x) 2025-09-07T07:42:42.7181218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:42:42.7181736Z x = self.layer4(x) 2025-09-07T07:42:42.7182185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:42:42.7182674Z out = self.conv2(out) 2025-09-07T07:42:42.7182814Z 2025-09-07T07:42:42.7182944Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7183452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7183906Z return mod(*inputs) 2025-09-07T07:42:42.7184359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7184866Z return self._forward_impl(x) 2025-09-07T07:42:42.7185374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:42:42.7185893Z x = self.layer4(x) 2025-09-07T07:42:42.7186343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:42:42.7186830Z out = self.relu(out) 2025-09-07T07:42:42.7186966Z 2025-09-07T07:42:42.7187097Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7187608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7188061Z return mod(*inputs) 2025-09-07T07:42:42.7188508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7189019Z return self._forward_impl(x) 2025-09-07T07:42:42.7189530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:42:42.7190048Z x = self.layer4(x) 2025-09-07T07:42:42.7190495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:42:42.7190988Z out = self.conv3(out) 2025-09-07T07:42:42.7191128Z 2025-09-07T07:42:42.7191258Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7191767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7192220Z return mod(*inputs) 2025-09-07T07:42:42.7192669Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7193175Z return self._forward_impl(x) 2025-09-07T07:42:42.7193694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:42:42.7194343Z x = self.layer4(x) 2025-09-07T07:42:42.7194807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 158, in forward 2025-09-07T07:42:42.7195313Z identity = self.downsample(x) 2025-09-07T07:42:42.7195483Z 2025-09-07T07:42:42.7195614Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7196124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7196575Z return mod(*inputs) 2025-09-07T07:42:42.7197023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7197526Z return self._forward_impl(x) 2025-09-07T07:42:42.7198034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:42:42.7198635Z x = self.layer4(x) 2025-09-07T07:42:42.7199090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:42:42.7199579Z out = self.conv1(x) 2025-09-07T07:42:42.7199713Z 2025-09-07T07:42:42.7199844Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7200348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7200797Z return mod(*inputs) 2025-09-07T07:42:42.7201246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7201747Z return self._forward_impl(x) 2025-09-07T07:42:42.7202257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:42:42.7202776Z x = self.layer4(x) 2025-09-07T07:42:42.7203226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:42:42.7203722Z out = self.relu(out) 2025-09-07T07:42:42.7203865Z 2025-09-07T07:42:42.7203997Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7204503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7204955Z return mod(*inputs) 2025-09-07T07:42:42.7205405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7205909Z return self._forward_impl(x) 2025-09-07T07:42:42.7206419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:42:42.7206933Z x = self.layer4(x) 2025-09-07T07:42:42.7207384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:42:42.7207878Z out = self.conv2(out) 2025-09-07T07:42:42.7208024Z 2025-09-07T07:42:42.7208157Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7208670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7209121Z return mod(*inputs) 2025-09-07T07:42:42.7209572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7210074Z return self._forward_impl(x) 2025-09-07T07:42:42.7210578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:42:42.7211096Z x = self.layer4(x) 2025-09-07T07:42:42.7211544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:42:42.7212035Z out = self.relu(out) 2025-09-07T07:42:42.7212172Z 2025-09-07T07:42:42.7212302Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7212809Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7213385Z return mod(*inputs) 2025-09-07T07:42:42.7213858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7214365Z return self._forward_impl(x) 2025-09-07T07:42:42.7214875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:42:42.7215398Z x = self.layer4(x) 2025-09-07T07:42:42.7215847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:42:42.7216336Z out = self.conv3(out) 2025-09-07T07:42:42.7216480Z 2025-09-07T07:42:42.7216609Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7217115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7217565Z return mod(*inputs) 2025-09-07T07:42:42.7218116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7218619Z return self._forward_impl(x) 2025-09-07T07:42:42.7219126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:42:42.7219644Z x = self.layer4(x) 2025-09-07T07:42:42.7220093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T07:42:42.7220583Z out = self.relu(out) 2025-09-07T07:42:42.7220735Z 2025-09-07T07:42:42.7220871Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7221379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7221833Z return mod(*inputs) 2025-09-07T07:42:42.7222280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7222789Z return self._forward_impl(x) 2025-09-07T07:42:42.7223302Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:42:42.7223822Z x = self.layer4(x) 2025-09-07T07:42:42.7224268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 146, in forward 2025-09-07T07:42:42.7224758Z out = self.conv1(x) 2025-09-07T07:42:42.7224892Z 2025-09-07T07:42:42.7225023Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7225533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7225982Z return mod(*inputs) 2025-09-07T07:42:42.7226430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7226938Z return self._forward_impl(x) 2025-09-07T07:42:42.7227447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:42:42.7227973Z x = self.layer4(x) 2025-09-07T07:42:42.7228428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T07:42:42.7228919Z out = self.relu(out) 2025-09-07T07:42:42.7229055Z 2025-09-07T07:42:42.7229188Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7229697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7230148Z return mod(*inputs) 2025-09-07T07:42:42.7230594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7231099Z return self._forward_impl(x) 2025-09-07T07:42:42.7231610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:42:42.7232128Z x = self.layer4(x) 2025-09-07T07:42:42.7232703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 150, in forward 2025-09-07T07:42:42.7233206Z out = self.conv2(out) 2025-09-07T07:42:42.7233347Z 2025-09-07T07:42:42.7233479Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7233988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7234439Z return mod(*inputs) 2025-09-07T07:42:42.7234892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7235396Z return self._forward_impl(x) 2025-09-07T07:42:42.7235903Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:42:42.7236418Z x = self.layer4(x) 2025-09-07T07:42:42.7236868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T07:42:42.7237450Z out = self.relu(out) 2025-09-07T07:42:42.7237585Z 2025-09-07T07:42:42.7237722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7238232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7238683Z return mod(*inputs) 2025-09-07T07:42:42.7239131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7239633Z return self._forward_impl(x) 2025-09-07T07:42:42.7240145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T07:42:42.7240667Z x = self.layer4(x) 2025-09-07T07:42:42.7241118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 154, in forward 2025-09-07T07:42:42.7241613Z out = self.conv3(out) 2025-09-07T07:42:42.7241755Z 2025-09-07T07:42:42.7241854Z cudagraph partition due to non gpu ops 2025-09-07T07:42:42.7242170Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7242684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7243134Z return mod(*inputs) 2025-09-07T07:42:42.7243582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7244083Z return self._forward_impl(x) 2025-09-07T07:42:42.7244592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl 2025-09-07T07:42:42.7245115Z x = self.avgpool(x) 2025-09-07T07:42:42.7245246Z 2025-09-07T07:42:42.7245377Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:42:42.7245888Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:42:42.7246340Z return mod(*inputs) 2025-09-07T07:42:42.7246801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T07:42:42.7247311Z return self._forward_impl(x) 2025-09-07T07:42:42.7247823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 280, in _forward_impl 2025-09-07T07:42:42.7248338Z x = self.fc(x) 2025-09-07T07:42:42.7248452Z 2025-09-07T07:42:54.7619973Z 2025-09-07T07:42:56.6228849Z running benchmark: 0% 0/30 [00:00.6", line 7, in forward 2025-09-07T07:44:40.9183681Z quantize_per_tensor = torch.quantize_per_tensor(x, conv1_input_scale_0, conv1_input_zero_point_0, torch.quint8); x = conv1_input_scale_0 = conv1_input_zero_point_0 = None 2025-09-07T07:44:40.9184434Z RuntimeError: Quantize only works on Float Tensor, got BFloat16 2025-09-07T07:44:40.9184704Z 2025-09-07T07:44:40.9184941Z Call using an FX-traced Module, line 7 of the traced Module's generated forward function: 2025-09-07T07:44:40.9185412Z conv1_input_zero_point_0 = self.conv1_input_zero_point_0 2025-09-07T07:44:40.9186137Z quantize_per_tensor = torch.quantize_per_tensor(x, conv1_input_scale_0, conv1_input_zero_point_0, torch.quint8); x = conv1_input_scale_0 = conv1_input_zero_point_0 = None 2025-09-07T07:44:40.9186727Z 2025-09-07T07:44:40.9186980Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE 2025-09-07T07:44:40.9187478Z conv1 = self.conv1(quantize_per_tensor); quantize_per_tensor = None 2025-09-07T07:44:40.9187756Z 2025-09-07T07:44:40.9187871Z maxpool = self.maxpool(conv1); conv1 = None 2025-09-07T07:44:40.9188075Z 2025-09-07T07:44:40.9188079Z 2025-09-07T07:44:40.9188166Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:44:40.9188427Z cpu eval resnet50_quantized_qat 2025-09-07T07:44:40.9188713Z Traceback (most recent call last): 2025-09-07T07:44:40.9189168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T07:44:40.9189655Z self.model_iter_fn(model, example_inputs) 2025-09-07T07:44:40.9190129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:44:40.9190590Z return mod(*inputs) 2025-09-07T07:44:40.9191406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 837, in call_wrapped 2025-09-07T07:44:40.9191972Z return self._wrapped_call(self, *args, **kwargs) 2025-09-07T07:44:40.9192500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 411, in __call__ 2025-09-07T07:44:40.9193007Z raise e.with_traceback(None) # noqa: B904 2025-09-07T07:44:40.9193371Z RuntimeError: Quantize only works on Float Tensor, got BFloat16 2025-09-07T07:44:40.9193639Z 2025-09-07T07:44:40.9193823Z The above exception was the direct cause of the following exception: 2025-09-07T07:44:40.9194098Z 2025-09-07T07:44:40.9194189Z Traceback (most recent call last): 2025-09-07T07:44:40.9194589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T07:44:40.9194993Z ) = runner.load_model( 2025-09-07T07:44:40.9195409Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T07:44:40.9196071Z self.validate_model(model, example_inputs) 2025-09-07T07:44:40.9196544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T07:44:40.9197025Z raise RuntimeError("Eager run failed") from e 2025-09-07T07:44:40.9197314Z RuntimeError: Eager run failed 2025-09-07T07:44:40.9197474Z 2025-09-07T07:44:40.9197545Z eager_fail_to_run 2025-09-07T07:44:41.9075751Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:44:41.9076885Z import pynvml # type: ignore[import] 2025-09-07T07:44:44.5230570Z 2025-09-07T07:44:46.1876681Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:46.1876963Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:44:46.1948045Z cpu eval resnext50_32x4d 2025-09-07T07:45:15.2668428Z 2025-09-07T07:45:17.1568412Z running benchmark: 0% 0/30 [00:00.6", line 7, in forward 2025-09-07T07:47:11.3393551Z quantize_per_tensor = torch.quantize_per_tensor(x, conv1_input_scale_0, conv1_input_zero_point_0, torch.quint8); x = conv1_input_scale_0 = conv1_input_zero_point_0 = None 2025-09-07T07:47:11.3394309Z RuntimeError: Quantize only works on Float Tensor, got BFloat16 2025-09-07T07:47:11.3394580Z 2025-09-07T07:47:11.3395067Z Call using an FX-traced Module, line 7 of the traced Module's generated forward function: 2025-09-07T07:47:11.3395586Z conv1_input_zero_point_0 = self.conv1_input_zero_point_0 2025-09-07T07:47:11.3396306Z quantize_per_tensor = torch.quantize_per_tensor(x, conv1_input_scale_0, conv1_input_zero_point_0, torch.quint8); x = conv1_input_scale_0 = conv1_input_zero_point_0 = None 2025-09-07T07:47:11.3396886Z 2025-09-07T07:47:11.3397112Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE 2025-09-07T07:47:11.3397609Z conv1 = self.conv1(quantize_per_tensor); quantize_per_tensor = None 2025-09-07T07:47:11.3397886Z 2025-09-07T07:47:11.3397998Z maxpool = self.maxpool(conv1); conv1 = None 2025-09-07T07:47:11.3398205Z 2025-09-07T07:47:11.3398379Z 2025-09-07T07:47:11.3398474Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:47:11.3398748Z cpu eval resnet50_quantized_qat 2025-09-07T07:47:11.3399037Z Traceback (most recent call last): 2025-09-07T07:47:11.3399489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T07:47:11.3399970Z self.model_iter_fn(model, example_inputs) 2025-09-07T07:47:11.3400450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:47:11.3400906Z return mod(*inputs) 2025-09-07T07:47:11.3401369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 837, in call_wrapped 2025-09-07T07:47:11.3401917Z return self._wrapped_call(self, *args, **kwargs) 2025-09-07T07:47:11.3402442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 411, in __call__ 2025-09-07T07:47:11.3402952Z raise e.with_traceback(None) # noqa: B904 2025-09-07T07:47:11.3403323Z RuntimeError: Quantize only works on Float Tensor, got BFloat16 2025-09-07T07:47:11.3403589Z 2025-09-07T07:47:11.3403780Z The above exception was the direct cause of the following exception: 2025-09-07T07:47:11.3404057Z 2025-09-07T07:47:11.3404145Z Traceback (most recent call last): 2025-09-07T07:47:11.3404547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T07:47:11.3404957Z ) = runner.load_model( 2025-09-07T07:47:11.3405371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T07:47:11.3405842Z self.validate_model(model, example_inputs) 2025-09-07T07:47:11.3406321Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T07:47:11.3406808Z raise RuntimeError("Eager run failed") from e 2025-09-07T07:47:11.3407098Z RuntimeError: Eager run failed 2025-09-07T07:47:11.3407254Z 2025-09-07T07:47:11.3407328Z eager_fail_to_run 2025-09-07T07:47:12.4018527Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:47:12.4019755Z import pynvml # type: ignore[import] 2025-09-07T07:47:15.0127844Z 2025-09-07T07:47:16.6825845Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:47:16.6826178Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:47:16.6896354Z cpu eval resnext50_32x4d 2025-09-07T07:47:41.6174065Z 2025-09-07T07:47:43.5245581Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T07:49:25.0907362Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T07:49:25.0916781Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:25.0917091Z env: 2025-09-07T07:49:25.0917259Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:25.0917644Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:25.0918044Z ##[endgroup] 2025-09-07T07:49:25.0946498Z + [[ -n '' ]] 2025-09-07T07:49:25.0946798Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T07:49:25.3160291Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:49:26.2744431Z Collecting boto3==1.35.33 2025-09-07T07:49:26.2909599Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T07:49:26.5506191Z Collecting psutil==7.0.0 2025-09-07T07:49:26.5543722Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (279 kB) 2025-09-07T07:49:26.5841007Z Collecting pynvml==12.0.0 2025-09-07T07:49:26.5876364Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T07:49:26.6323507Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T07:49:26.6358945Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T07:49:27.6102530Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T07:49:27.6141635Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T07:49:27.7179339Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-09-07T07:49:27.7620217Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T07:49:27.7656480Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T07:49:27.7733268Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-09-07T07:49:27.7743747Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-09-07T07:49:27.9798232Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-09-07T07:49:28.0812357Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-09-07T07:49:28.7881129Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-09-07T07:49:28.8729681Z + DEVICE_NAME= 2025-09-07T07:49:28.8729876Z + DEVICE_TYPE= 2025-09-07T07:49:28.8730066Z + command -v nvidia-smi 2025-09-07T07:49:28.8730326Z + command -v rocminfo 2025-09-07T07:49:28.8730654Z + echo DEVICE_NAME= 2025-09-07T07:49:28.8731227Z + echo DEVICE_TYPE= 2025-09-07T07:49:28.8751798Z ##[group]Run set -eux 2025-09-07T07:49:28.8752028Z set -eux 2025-09-07T07:49:28.8752208Z  2025-09-07T07:49:28.8752394Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T07:49:28.8752690Z  echo "Missing github-token input" 2025-09-07T07:49:28.8752953Z  exit 1 2025-09-07T07:49:28.8753131Z fi 2025-09-07T07:49:28.8760751Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:28.8761075Z env: 2025-09-07T07:49:28.8761246Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:28.8761631Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:28.8762041Z DEVICE_NAME: 2025-09-07T07:49:28.8762224Z DEVICE_TYPE: 2025-09-07T07:49:28.8762592Z GITHUB_TOKEN: *** 2025-09-07T07:49:28.8762776Z ##[endgroup] 2025-09-07T07:49:28.8786499Z + [[ -z *** ]] 2025-09-07T07:49:28.8823743Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T07:49:28.8824117Z with: 2025-09-07T07:49:28.8824417Z github-token: *** 2025-09-07T07:49:28.8824601Z env: 2025-09-07T07:49:28.8824766Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:28.8825145Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:28.8825556Z DEVICE_NAME: 2025-09-07T07:49:28.8825734Z DEVICE_TYPE: 2025-09-07T07:49:28.8825906Z ##[endgroup] 2025-09-07T07:49:28.8838339Z ##[group]Run set -eux 2025-09-07T07:49:28.8838559Z set -eux 2025-09-07T07:49:28.8838739Z  2025-09-07T07:49:28.8839137Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T07:49:28.8845151Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:28.8845473Z env: 2025-09-07T07:49:28.8845642Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:28.8846024Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:28.8846439Z DEVICE_NAME: 2025-09-07T07:49:28.8846621Z DEVICE_TYPE: 2025-09-07T07:49:28.8846933Z GITHUB_TOKEN: *** 2025-09-07T07:49:28.8847120Z ##[endgroup] 2025-09-07T07:49:28.8868763Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525321311 i-091db0e6724c010ce 2025-09-07T07:49:30.1587626Z setting job-id=49775354804 2025-09-07T07:49:30.1588177Z setting job-name=linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:49:30.1680013Z ##[group]Run set -eux 2025-09-07T07:49:30.1680239Z set -eux 2025-09-07T07:49:30.1680415Z  2025-09-07T07:49:30.1680780Z if [[ -n "" ]]; then 2025-09-07T07:49:30.1681013Z  source "" 2025-09-07T07:49:30.1681198Z fi 2025-09-07T07:49:30.1681386Z  2025-09-07T07:49:30.1681705Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T07:49:30.1682290Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T07:49:30.1682577Z  --repo "${REPO}" \ 2025-09-07T07:49:30.1682825Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T07:49:30.1683099Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T07:49:30.1683376Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T07:49:30.1696849Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T07:49:30.1697151Z  --job-id "${JOB_ID}" \ 2025-09-07T07:49:30.1697393Z  --job-name "${JOB_NAME}" 2025-09-07T07:49:30.1703278Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:30.1703593Z env: 2025-09-07T07:49:30.1703768Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:30.1704152Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:30.1704565Z DEVICE_NAME: 2025-09-07T07:49:30.1704742Z DEVICE_TYPE: 2025-09-07T07:49:30.1704922Z SCHEMA_VERSION: v3 2025-09-07T07:49:30.1705129Z REPO: pytorch/pytorch 2025-09-07T07:49:30.1705338Z HEAD_BRANCH: refs/heads/main 2025-09-07T07:49:30.1705603Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:30.1705887Z WORKFLOW_RUN_ID: 17525321311 2025-09-07T07:49:30.1706101Z RUN_ATTEMPT: 1 2025-09-07T07:49:30.1706274Z JOB_ID: 49775354804 2025-09-07T07:49:30.1706762Z JOB_NAME: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:49:30.1707292Z ##[endgroup] 2025-09-07T07:49:30.1729145Z + [[ -n '' ]] 2025-09-07T07:49:30.1731097Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 93fb23d6fae7c4e82c4239a1033e522088742634 --workflow-id 17525321311 --run-attempt 1 --job-id 49775354804 --job-name 'linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal)' 2025-09-07T07:49:30.2022782Z ##[group]Run set -eux 2025-09-07T07:49:30.2022995Z set -eux 2025-09-07T07:49:30.2023169Z  2025-09-07T07:49:30.2023331Z if [[ -n "" ]]; then 2025-09-07T07:49:30.2023547Z  source "" 2025-09-07T07:49:30.2023729Z fi 2025-09-07T07:49:30.2023888Z  2025-09-07T07:49:30.2024204Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T07:49:30.2029986Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:30.2030294Z env: 2025-09-07T07:49:30.2030463Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:30.2030853Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:30.2031257Z DEVICE_NAME: 2025-09-07T07:49:30.2031435Z DEVICE_TYPE: 2025-09-07T07:49:30.2031606Z ##[endgroup] 2025-09-07T07:49:30.2052094Z + [[ -n '' ]] 2025-09-07T07:49:30.2052790Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T07:49:30.2449844Z INFO:root:Fail to import torch to get the device name 2025-09-07T07:49:30.2544682Z ##[group]Run set -eux 2025-09-07T07:49:30.2544899Z set -eux 2025-09-07T07:49:30.2545074Z  2025-09-07T07:49:30.2545268Z # TODO (huydhn): Implement this part 2025-09-07T07:49:30.2545589Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:30.2551248Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:30.2551570Z env: 2025-09-07T07:49:30.2551739Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:30.2552314Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:30.2552738Z DEVICE_NAME: 2025-09-07T07:49:30.2552914Z DEVICE_TYPE: 2025-09-07T07:49:30.2553089Z ##[endgroup] 2025-09-07T07:49:30.2574050Z + echo 'dependencies={}' 2025-09-07T07:49:30.2603482Z ##[group]Run set -eux 2025-09-07T07:49:30.2603705Z set -eux 2025-09-07T07:49:30.2603883Z  2025-09-07T07:49:30.2604052Z if [[ -n "" ]]; then 2025-09-07T07:49:30.2604264Z  source "" 2025-09-07T07:49:30.2604449Z fi 2025-09-07T07:49:30.2604614Z  2025-09-07T07:49:30.2604826Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T07:49:30.2605191Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T07:49:30.2605609Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T07:49:30.2605931Z  exit 0 2025-09-07T07:49:30.2606103Z fi 2025-09-07T07:49:30.2606269Z  2025-09-07T07:49:30.2606460Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T07:49:30.2606861Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T07:49:30.2607328Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T07:49:30.2607694Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T07:49:30.2607984Z  --runners "${RUNNER_INFO}" \ 2025-09-07T07:49:30.2608274Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T07:49:30.2608547Z  --dry-run 2025-09-07T07:49:30.2608743Z else 2025-09-07T07:49:30.2609054Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T07:49:30.2609518Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T07:49:30.2609876Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T07:49:30.2610168Z  --runners "${RUNNER_INFO}" \ 2025-09-07T07:49:30.2610454Z  --dependencies "${DEPENDENCIES}" 2025-09-07T07:49:30.2610710Z fi 2025-09-07T07:49:30.2616198Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:30.2616509Z env: 2025-09-07T07:49:30.2616681Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:30.2617065Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:30.2617470Z DEVICE_NAME: 2025-09-07T07:49:30.2617646Z DEVICE_TYPE: 2025-09-07T07:49:30.2617852Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T07:49:30.2618102Z DRY_RUN: false 2025-09-07T07:49:30.2619350Z BENCHMARK_METADATA: {"timestamp": 1757231370, "schema_version": "v3", "name": "linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525321311, "run_attempt": 1, "job_id": 49775354804} 2025-09-07T07:49:30.2620965Z RUNNER_INFO: [{"cpu_info": "aarch64", "cpu_count": 64, "avail_mem_in_gb": 251, "extra_info": {"hostname": "ip-10-0-13-248.ec2.internal"}, "name": "", "type": ""}] 2025-09-07T07:49:30.2621519Z DEPENDENCIES: {} 2025-09-07T07:49:30.2621706Z ##[endgroup] 2025-09-07T07:49:30.2641853Z + [[ -n '' ]] 2025-09-07T07:49:30.2642047Z + [[ ! -d test/test-reports ]] 2025-09-07T07:49:30.2642279Z + [[ false == \t\r\u\e ]] 2025-09-07T07:49:30.2644989Z + 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": 1757231370, "schema_version": "v3", "name": "linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525321311, "run_attempt": 1, "job_id": 49775354804}' --runners '[{"cpu_info": "aarch64", "cpu_count": 64, "avail_mem_in_gb": 251, "extra_info": {"hostname": "ip-10-0-13-248.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-09-07T07:49:30.3898835Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354804/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T07:49:30.4143738Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T07:49:30.5654003Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354804/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T07:49:30.6304609Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354804/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T07:49:30.7227470Z INFO:root:Upload test/test-reports/inductor_export_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354804/inductor_export_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T07:49:30.7895754Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354804/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T07:49:30.8677894Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354804/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_performance.json 2025-09-07T07:49:30.9376131Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354804/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json 2025-09-07T07:49:31.0267825Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354804/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_performance.json 2025-09-07T07:49:31.1143673Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354804/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json 2025-09-07T07:49:31.1864525Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354804/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_performance.json 2025-09-07T07:49:31.2509204Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354804/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json 2025-09-07T07:49:31.3213093Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354804/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_performance.json 2025-09-07T07:49:31.4052798Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354804/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json 2025-09-07T07:49:31.5273647Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T07:49:31.5274192Z cat test/**/*_toprint.log || true 2025-09-07T07:49:31.5281056Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:31.5281365Z env: 2025-09-07T07:49:31.5281532Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:31.5281920Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:31.5282325Z DEVICE_NAME: 2025-09-07T07:49:31.5282502Z DEVICE_TYPE: 2025-09-07T07:49:31.5282675Z ##[endgroup] 2025-09-07T07:49:31.5358309Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T07:49:31.5472759Z Prepare all required actions 2025-09-07T07:49:31.5473162Z Getting action download info 2025-09-07T07:49:31.6966519Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:49:31.9082311Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T07:49:32.3208715Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T07:49:32.3209030Z with: 2025-09-07T07:49:32.3209407Z file-suffix: test-inductor_torchbench_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354804 2025-09-07T07:49:32.3209861Z s3-bucket: gha-artifacts 2025-09-07T07:49:32.3210060Z env: 2025-09-07T07:49:32.3210223Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:32.3210603Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:32.3211007Z DEVICE_NAME: 2025-09-07T07:49:32.3211177Z DEVICE_TYPE: 2025-09-07T07:49:32.3211345Z ##[endgroup] 2025-09-07T07:49:32.3231261Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T07:49:32.3231659Z # Remove any previous test jsons if they exist 2025-09-07T07:49:32.3231966Z rm -f test-jsons-*.zip 2025-09-07T07:49:32.3232325Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T07:49:32.3238760Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:32.3239096Z env: 2025-09-07T07:49:32.3239260Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:32.3239645Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:32.3240053Z DEVICE_NAME: 2025-09-07T07:49:32.3240232Z DEVICE_TYPE: 2025-09-07T07:49:32.3240615Z FILE_SUFFIX: test-inductor_torchbench_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354804 2025-09-07T07:49:32.3241048Z ##[endgroup] 2025-09-07T07:49:32.3353454Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 97%) 2025-09-07T07:49:32.3357424Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 97%) 2025-09-07T07:49:32.3361374Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 97%) 2025-09-07T07:49:32.3365181Z adding: test/test-reports/inductor_export_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 97%) 2025-09-07T07:49:32.3369044Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 97%) 2025-09-07T07:49:32.3374380Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_performance.json (deflated 97%) 2025-09-07T07:49:32.3385488Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json (deflated 98%) 2025-09-07T07:49:32.3390804Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_performance.json (deflated 97%) 2025-09-07T07:49:32.3402049Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json (deflated 98%) 2025-09-07T07:49:32.3407290Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_performance.json (deflated 97%) 2025-09-07T07:49:32.3418245Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json (deflated 98%) 2025-09-07T07:49:32.3423389Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_performance.json (deflated 97%) 2025-09-07T07:49:32.3430901Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json (deflated 98%) 2025-09-07T07:49:32.3460709Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T07:49:32.3461345Z # Remove any previous test reports if they exist 2025-09-07T07:49:32.3461680Z rm -f test-reports-*.zip 2025-09-07T07:49:32.3462081Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T07:49:32.3468248Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:32.3468561Z env: 2025-09-07T07:49:32.3468732Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:32.3469171Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:32.3469593Z DEVICE_NAME: 2025-09-07T07:49:32.3469769Z DEVICE_TYPE: 2025-09-07T07:49:32.3470150Z FILE_SUFFIX: test-inductor_torchbench_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354804 2025-09-07T07:49:32.3470585Z ##[endgroup] 2025-09-07T07:49:32.3512574Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 43%) 2025-09-07T07:49:32.3513421Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 42%) 2025-09-07T07:49:32.3514234Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 42%) 2025-09-07T07:49:32.3515038Z adding: test/test-reports/inductor_export_torchbench_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 43%) 2025-09-07T07:49:32.3515851Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 47%) 2025-09-07T07:49:32.3516698Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_performance.csv (deflated 44%) 2025-09-07T07:49:32.3517621Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.csv (deflated 45%) 2025-09-07T07:49:32.3518531Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_performance.csv (deflated 44%) 2025-09-07T07:49:32.3519588Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.csv (deflated 45%) 2025-09-07T07:49:32.3520552Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_performance.csv (deflated 44%) 2025-09-07T07:49:32.3521471Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.csv (deflated 46%) 2025-09-07T07:49:32.3522385Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_performance.csv (deflated 45%) 2025-09-07T07:49:32.3523306Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.csv (deflated 44%) 2025-09-07T07:49:32.3548105Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T07:49:32.3548493Z # Remove any previous usage logs if they exist 2025-09-07T07:49:32.3548792Z rm -f logs-*.zip 2025-09-07T07:49:32.3549086Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T07:49:32.3549516Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T07:49:32.3555325Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:32.3555641Z env: 2025-09-07T07:49:32.3555809Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:32.3556192Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:32.3556790Z DEVICE_NAME: 2025-09-07T07:49:32.3556969Z DEVICE_TYPE: 2025-09-07T07:49:32.3557355Z FILE_SUFFIX: test-inductor_torchbench_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354804 2025-09-07T07:49:32.3557793Z ##[endgroup] 2025-09-07T07:49:32.3651743Z zip warning: name not matched: usage_log.txt 2025-09-07T07:49:32.3651953Z 2025-09-07T07:49:32.3652300Z zip error: Nothing to do! (logs-test-inductor_torchbench_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354804.zip) 2025-09-07T07:49:32.3662347Z zip warning: zip file empty 2025-09-07T07:49:32.3699184Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T07:49:32.3699626Z # Remove any previous debugging artifacts if they exist 2025-09-07T07:49:32.3699962Z rm -f debug-*.zip 2025-09-07T07:49:32.3700192Z if [ -d 'test/debug' ]; then 2025-09-07T07:49:32.3700483Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T07:49:32.3700762Z fi 2025-09-07T07:49:32.3706276Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:32.3706599Z env: 2025-09-07T07:49:32.3706772Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:32.3707159Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:32.3707568Z DEVICE_NAME: 2025-09-07T07:49:32.3707745Z DEVICE_TYPE: 2025-09-07T07:49:32.3708122Z FILE_SUFFIX: test-inductor_torchbench_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354804 2025-09-07T07:49:32.3708558Z ##[endgroup] 2025-09-07T07:49:32.3841891Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T07:49:32.3842161Z with: 2025-09-07T07:49:32.3842335Z s3-bucket: gha-artifacts 2025-09-07T07:49:32.3842600Z s3-prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T07:49:32.3842888Z retention-days: 14 2025-09-07T07:49:32.3843088Z if-no-files-found: warn 2025-09-07T07:49:32.3843307Z path: test-jsons-*.zip 2025-09-07T07:49:32.3843512Z name: artifact 2025-09-07T07:49:32.3843705Z region: us-east-1 2025-09-07T07:49:32.3843878Z env: 2025-09-07T07:49:32.3844043Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:32.3844430Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:32.3844841Z DEVICE_NAME: 2025-09-07T07:49:32.3845015Z DEVICE_TYPE: 2025-09-07T07:49:32.3845188Z ##[endgroup] 2025-09-07T07:49:32.6572816Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T07:49:32.6573203Z With the provided path, there will be 1 file uploaded 2025-09-07T07:49:32.6573610Z Uploading to s3 prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T07:49:32.6613651Z Starting upload of test-jsons-test-inductor_torchbench_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354804.zip 2025-09-07T07:49:32.7826970Z Finished upload of test-jsons-test-inductor_torchbench_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354804.zip 2025-09-07T07:49:32.8023553Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T07:49:32.8023821Z with: 2025-09-07T07:49:32.8024006Z s3-bucket: gha-artifacts 2025-09-07T07:49:32.8024271Z s3-prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T07:49:32.8024559Z retention-days: 14 2025-09-07T07:49:32.8024760Z if-no-files-found: error 2025-09-07T07:49:32.8024986Z path: test-reports-*.zip 2025-09-07T07:49:32.8025196Z name: artifact 2025-09-07T07:49:32.8025375Z region: us-east-1 2025-09-07T07:49:32.8025546Z env: 2025-09-07T07:49:32.8025708Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:32.8026096Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:32.8026505Z DEVICE_NAME: 2025-09-07T07:49:32.8026678Z DEVICE_TYPE: 2025-09-07T07:49:32.8026850Z ##[endgroup] 2025-09-07T07:49:33.0589655Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T07:49:33.0590039Z With the provided path, there will be 1 file uploaded 2025-09-07T07:49:33.0590417Z Uploading to s3 prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T07:49:33.0630199Z Starting upload of test-reports-test-inductor_torchbench_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354804.zip 2025-09-07T07:49:33.1895216Z Finished upload of test-reports-test-inductor_torchbench_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354804.zip 2025-09-07T07:49:33.2085951Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T07:49:33.2086223Z with: 2025-09-07T07:49:33.2086392Z s3-bucket: gha-artifacts 2025-09-07T07:49:33.2086659Z s3-prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T07:49:33.2086945Z retention-days: 14 2025-09-07T07:49:33.2087371Z if-no-files-found: ignore 2025-09-07T07:49:33.2087597Z path: logs-*.zip 2025-09-07T07:49:33.2087781Z name: artifact 2025-09-07T07:49:33.2087963Z region: us-east-1 2025-09-07T07:49:33.2088135Z env: 2025-09-07T07:49:33.2088298Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:33.2088685Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:33.2089096Z DEVICE_NAME: 2025-09-07T07:49:33.2089283Z DEVICE_TYPE: 2025-09-07T07:49:33.2089452Z ##[endgroup] 2025-09-07T07:49:33.4669754Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T07:49:33.4670129Z With the provided path, there will be 1 file uploaded 2025-09-07T07:49:33.4670511Z Uploading to s3 prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T07:49:33.4710120Z Starting upload of logs-test-inductor_torchbench_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354804.zip 2025-09-07T07:49:33.5910820Z Finished upload of logs-test-inductor_torchbench_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354804.zip 2025-09-07T07:49:33.6110853Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T07:49:33.6111129Z with: 2025-09-07T07:49:33.6111306Z s3-bucket: gha-artifacts 2025-09-07T07:49:33.6111566Z s3-prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T07:49:33.6111852Z retention-days: 14 2025-09-07T07:49:33.6112058Z if-no-files-found: ignore 2025-09-07T07:49:33.6112278Z path: debug-*.zip 2025-09-07T07:49:33.6112476Z name: artifact 2025-09-07T07:49:33.6112658Z region: us-east-1 2025-09-07T07:49:33.6112834Z env: 2025-09-07T07:49:33.6112998Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:33.6113398Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:33.6113807Z DEVICE_NAME: 2025-09-07T07:49:33.6113981Z DEVICE_TYPE: 2025-09-07T07:49:33.6114151Z ##[endgroup] 2025-09-07T07:49:33.8625255Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T07:49:33.8816499Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T07:49:33.8816849Z # shellcheck disable=SC2156 2025-09-07T07:49:33.8817340Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T07:49:33.8824562Z shell: /usr/bin/bash -e {0} 2025-09-07T07:49:33.8824787Z env: 2025-09-07T07:49:33.8824955Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:33.8825338Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:33.8825764Z DEVICE_NAME: 2025-09-07T07:49:33.8825942Z DEVICE_TYPE: 2025-09-07T07:49:33.8826117Z ##[endgroup] 2025-09-07T07:49:34.1227610Z Prepare all required actions 2025-09-07T07:49:34.1227967Z Getting action download info 2025-09-07T07:49:34.2480470Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T07:49:34.2480764Z with: 2025-09-07T07:49:34.2480928Z job_id: 49775354804 2025-09-07T07:49:34.2481421Z job_name: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:49:34.2482000Z workflow_name: inductor-perf-nightly-aarch64 2025-09-07T07:49:34.2482284Z workflow_run_id: 17525321311 2025-09-07T07:49:34.2482507Z workflow_attempt: 1 2025-09-07T07:49:34.2482697Z env: 2025-09-07T07:49:34.2482864Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:34.2483244Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:34.2483889Z DEVICE_NAME: 2025-09-07T07:49:34.2484066Z DEVICE_TYPE: 2025-09-07T07:49:34.2484241Z ##[endgroup] 2025-09-07T07:49:34.2498333Z ##[group]Run echo "workflow_id: 17525321311" 2025-09-07T07:49:34.2498632Z echo "workflow_id: 17525321311" 2025-09-07T07:49:34.2498899Z echo "workflow_attempt: 1" 2025-09-07T07:49:34.2499231Z echo "workflow_Name: inductor-perf-nightly-aarch64" 2025-09-07T07:49:34.2499567Z echo "job_id: 49775354804" 2025-09-07T07:49:34.2500142Z echo "job_name: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal)" 2025-09-07T07:49:34.2500734Z echo "artifact_prefix: " 2025-09-07T07:49:34.2500984Z python3 --version 2025-09-07T07:49:34.2506935Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:34.2507244Z env: 2025-09-07T07:49:34.2507406Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:34.2507792Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:34.2508215Z DEVICE_NAME: 2025-09-07T07:49:34.2508391Z DEVICE_TYPE: 2025-09-07T07:49:34.2508567Z ##[endgroup] 2025-09-07T07:49:34.2530060Z workflow_id: 17525321311 2025-09-07T07:49:34.2530281Z workflow_attempt: 1 2025-09-07T07:49:34.2530527Z workflow_Name: inductor-perf-nightly-aarch64 2025-09-07T07:49:34.2530817Z job_id: 49775354804 2025-09-07T07:49:34.2531296Z job_name: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal) 2025-09-07T07:49:34.2531837Z artifact_prefix: 2025-09-07T07:49:34.2540709Z Python 3.9.23 2025-09-07T07:49:34.2584603Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:49:34.2584854Z with: 2025-09-07T07:49:34.2585008Z shell: bash 2025-09-07T07:49:34.2585184Z timeout_minutes: 5 2025-09-07T07:49:34.2585376Z max_attempts: 5 2025-09-07T07:49:34.2585567Z retry_wait_seconds: 30 2025-09-07T07:49:34.2586029Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-09-07T07:49:34.2586542Z polling_interval_seconds: 1 2025-09-07T07:49:34.2586784Z warning_on_retry: true 2025-09-07T07:49:34.2587000Z continue_on_error: false 2025-09-07T07:49:34.2587194Z env: 2025-09-07T07:49:34.2587358Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:34.2587740Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:34.2588150Z DEVICE_NAME: 2025-09-07T07:49:34.2588327Z DEVICE_TYPE: 2025-09-07T07:49:34.2588500Z ##[endgroup] 2025-09-07T07:49:34.5619175Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:49:34.6276912Z Collecting python-dateutil==2.8.2 2025-09-07T07:49:34.6428262Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T07:49:35.4858560Z Collecting boto3==1.35.42 2025-09-07T07:49:35.4898952Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T07:49:35.9200650Z Collecting pandas==2.1.3 2025-09-07T07:49:35.9262558Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (14.9 MB) 2025-09-07T07:49:36.0932744Z Collecting dataclasses_json==0.6.7 2025-09-07T07:49:36.0952671Z Using cached dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T07:49:36.0977584Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-09-07T07:49:36.1020285Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0) 2025-09-07T07:49:36.1024259Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4) 2025-09-07T07:49:36.1033812Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99) 2025-09-07T07:49:36.8510352Z Collecting numpy<2,>=1.22.4 2025-09-07T07:49:36.8569882Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (14.2 MB) 2025-09-07T07:49:36.9651207Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-09-07T07:49:36.9906302Z Collecting tzdata>=2022.1 2025-09-07T07:49:36.9943386Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T07:49:37.0944784Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T07:49:37.0964452Z Using cached marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T07:49:37.1129131Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T07:49:37.1148600Z Using cached typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T07:49:37.1230607Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10) 2025-09-07T07:49:37.1666689Z Collecting packaging>=17.0 2025-09-07T07:49:37.1686562Z Using cached packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T07:49:37.2165835Z Collecting typing-extensions>=3.7.4 2025-09-07T07:49:37.2185705Z Using cached typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T07:49:37.2333050Z Collecting mypy-extensions>=0.3.0 2025-09-07T07:49:37.2352627Z Using cached mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T07:49:37.4290555Z Installing collected packages: python-dateutil, typing-extensions, packaging, mypy-extensions, tzdata, typing-inspect, numpy, marshmallow, pandas, dataclasses-json, boto3 2025-09-07T07:49:42.4117027Z Attempting uninstall: boto3 2025-09-07T07:49:42.4118398Z Found existing installation: boto3 1.35.33 2025-09-07T07:49:42.4209009Z Uninstalling boto3-1.35.33: 2025-09-07T07:49:42.4221867Z Successfully uninstalled boto3-1.35.33 2025-09-07T07:49:42.4751474Z Successfully installed boto3-1.35.42 dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 numpy-1.26.4 packaging-25.0 pandas-2.1.3 python-dateutil-2.8.2 typing-extensions-4.15.0 typing-inspect-0.9.0 tzdata-2025.2 2025-09-07T07:49:43.3352995Z Command completed after 1 attempt(s). 2025-09-07T07:49:43.3415757Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T07:49:43.3416350Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T07:49:43.3416779Z  --workflow-run-id "17525321311" \ 2025-09-07T07:49:43.3417119Z  --workflow-name "inductor-perf-nightly-aarch64" \ 2025-09-07T07:49:43.3417458Z  --workflow-run-attempt "1" \ 2025-09-07T07:49:43.3417719Z  --job-id "49775354804" \ 2025-09-07T07:49:43.3418288Z  --job-name "linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 14, 15, linux.arm64.m7g.metal)" \ 2025-09-07T07:49:43.3418870Z  --local-path "" \ 2025-09-07T07:49:43.3419100Z  --artifact-prefix "" 2025-09-07T07:49:43.3426048Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:43.3426374Z env: 2025-09-07T07:49:43.3426544Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:43.3426928Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:43.3427548Z DEVICE_NAME: 2025-09-07T07:49:43.3427740Z DEVICE_TYPE: 2025-09-07T07:49:43.3427916Z ##[endgroup] 2025-09-07T07:49:43.9029392Z repo: pytorch/pytorch 2025-09-07T07:49:43.9029670Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T07:49:43.9030209Z Downloading logs-test-inductor_torchbench_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354804.zip 2025-09-07T07:49:43.9031010Z extracting usage_log.txt from zip file logs-test-inductor_torchbench_perf_cpu_aarch64-14-15-linux.arm64.m7g.metal_49775354804.zip 2025-09-07T07:49:43.9031860Z ::warning trying to download test log failed by: "There is no item named 'usage_log.txt' in the archive" 2025-09-07T07:49:43.9032410Z [Log Model] Failed to process test log, metadata is None 2025-09-07T07:49:43.9826541Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-09-07T07:49:43.9827089Z with: 2025-09-07T07:49:43.9827253Z env: 2025-09-07T07:49:43.9827414Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:43.9827801Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:43.9828206Z DEVICE_NAME: 2025-09-07T07:49:43.9828381Z DEVICE_TYPE: 2025-09-07T07:49:43.9828548Z ##[endgroup] 2025-09-07T07:49:43.9842196Z ##[group]Run set -eou pipefail 2025-09-07T07:49:43.9842464Z set -eou pipefail 2025-09-07T07:49:43.9842691Z  2025-09-07T07:49:43.9842994Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-09-07T07:49:43.9843375Z for _ in $(seq 1440); do 2025-09-07T07:49:43.9843644Z  # Break if no ssh session exists anymore 2025-09-07T07:49:43.9843925Z  if [ "$(who)" = "" ]; then 2025-09-07T07:49:43.9844163Z  break 2025-09-07T07:49:43.9844374Z  fi 2025-09-07T07:49:43.9844556Z  echo "." 2025-09-07T07:49:43.9844748Z  sleep 5 2025-09-07T07:49:43.9844933Z done 2025-09-07T07:49:43.9851825Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:43.9852130Z env: 2025-09-07T07:49:43.9852297Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:43.9852680Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:43.9853086Z DEVICE_NAME: 2025-09-07T07:49:43.9853259Z DEVICE_TYPE: 2025-09-07T07:49:43.9853435Z ##[endgroup] 2025-09-07T07:49:43.9875559Z Holding runner for 2 hours until all ssh sessions have logged out 2025-09-07T07:49:43.9952364Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:49:43.9952903Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:49:43.9953262Z # shellcheck disable=SC2046 2025-09-07T07:49:43.9953547Z docker stop $(docker ps -q) || true 2025-09-07T07:49:43.9953842Z # Prune all of the docker images 2025-09-07T07:49:43.9954177Z docker system prune -af 2025-09-07T07:49:43.9959691Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:43.9960002Z env: 2025-09-07T07:49:43.9960174Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:43.9960561Z DOCKER_CONTAINER_ID: 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:43.9960972Z DEVICE_NAME: 2025-09-07T07:49:43.9961147Z DEVICE_TYPE: 2025-09-07T07:49:43.9961318Z ##[endgroup] 2025-09-07T07:49:55.1484243Z 473f9b687e72 2025-09-07T07:49:55.5805282Z Deleted Containers: 2025-09-07T07:49:55.5805647Z 473f9b687e727f484513983fb13bb7aee2d0aab0f081ce57a3999b9f745604b3 2025-09-07T07:49:55.5805935Z 2025-09-07T07:50:02.2665844Z Deleted Images: 2025-09-07T07:50:02.2666690Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:50:02.2667898Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:c8bf3aa0f88e5662ff72435fb728fa2432ad59709b953fd68e95432215dfee4a 2025-09-07T07:50:02.2668680Z deleted: sha256:2e41fa7f17d613e4abb96e4b9f7f4a2b2a08134df169ebcbcbc5a819408dc5b3 2025-09-07T07:50:02.2669237Z deleted: sha256:6652ecf65d8c4cd0c3717dc16a11439cde78848e05f81f231f3a87c2bdca3e31 2025-09-07T07:50:02.2669771Z deleted: sha256:cdacb207081fe2073693646a77441b430d48e78fc30b78acab75e11e4760c572 2025-09-07T07:50:02.2670314Z deleted: sha256:683e8048cce4d643d0f939a1f8c9c5c3c0ce002dc48c0fa451fe18d0b1c48de3 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2025-09-07T07:50:02.3827799Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:50:02.3860929Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T07:50:02.4141255Z Entering 'android/libs/fbjni' 2025-09-07T07:50:02.4194977Z Entering 'third_party/FP16' 2025-09-07T07:50:02.4250071Z Entering 'third_party/FXdiv' 2025-09-07T07:50:02.4304314Z Entering 'third_party/NNPACK' 2025-09-07T07:50:02.4359315Z Entering 'third_party/NVTX' 2025-09-07T07:50:02.4415565Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:50:02.4470183Z Entering 'third_party/XNNPACK' 2025-09-07T07:50:02.4533114Z Entering 'third_party/aiter' 2025-09-07T07:50:02.4586357Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:50:02.4644762Z Entering 'third_party/benchmark' 2025-09-07T07:50:02.4698224Z Entering 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2025-09-07T07:50:02.7390413Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:50:02.7442715Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:50:02.7495010Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:50:02.7562443Z Entering 'third_party/pocketfft' 2025-09-07T07:50:02.7615949Z Entering 'third_party/protobuf' 2025-09-07T07:50:02.7670016Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:50:02.7721693Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:50:02.7776789Z Entering 'third_party/psimd' 2025-09-07T07:50:02.7829562Z Entering 'third_party/pthreadpool' 2025-09-07T07:50:02.7883006Z Entering 'third_party/pybind11' 2025-09-07T07:50:02.7935428Z Entering 'third_party/python-peachpy' 2025-09-07T07:50:02.7989341Z Entering 'third_party/sleef' 2025-09-07T07:50:02.8043452Z Entering 'third_party/tensorpipe' 2025-09-07T07:50:02.8095095Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:50:02.8146101Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:50:02.8198212Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:50:02.8248316Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:50:02.8297123Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:50:02.8372004Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:50:02.8392313Z http.https://github.com/.extraheader 2025-09-07T07:50:02.8402562Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T07:50:02.8435344Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T07:50:02.8709358Z Entering 'android/libs/fbjni' 2025-09-07T07:50:02.8745320Z http.https://github.com/.extraheader 2025-09-07T07:50:02.8779810Z Entering 'third_party/FP16' 2025-09-07T07:50:02.8815415Z http.https://github.com/.extraheader 2025-09-07T07:50:02.8849777Z Entering 'third_party/FXdiv' 2025-09-07T07:50:02.8886192Z http.https://github.com/.extraheader 2025-09-07T07:50:02.8919570Z Entering 'third_party/NNPACK' 2025-09-07T07:50:02.8954919Z http.https://github.com/.extraheader 2025-09-07T07:50:02.8987033Z Entering 'third_party/NVTX' 2025-09-07T07:50:02.9022239Z http.https://github.com/.extraheader 2025-09-07T07:50:02.9056781Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:50:02.9091485Z http.https://github.com/.extraheader 2025-09-07T07:50:02.9124798Z Entering 'third_party/XNNPACK' 2025-09-07T07:50:02.9159814Z http.https://github.com/.extraheader 2025-09-07T07:50:02.9203427Z Entering 'third_party/aiter' 2025-09-07T07:50:02.9237862Z http.https://github.com/.extraheader 2025-09-07T07:50:02.9270970Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:50:02.9305047Z http.https://github.com/.extraheader 2025-09-07T07:50:02.9343619Z Entering 'third_party/benchmark' 2025-09-07T07:50:02.9379090Z http.https://github.com/.extraheader 2025-09-07T07:50:02.9412005Z Entering 'third_party/composable_kernel' 2025-09-07T07:50:02.9447191Z http.https://github.com/.extraheader 2025-09-07T07:50:02.9486795Z Entering 'third_party/cpp-httplib' 2025-09-07T07:50:02.9522128Z http.https://github.com/.extraheader 2025-09-07T07:50:02.9554361Z Entering 'third_party/cpuinfo' 2025-09-07T07:50:02.9589094Z http.https://github.com/.extraheader 2025-09-07T07:50:02.9623077Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:50:02.9658669Z http.https://github.com/.extraheader 2025-09-07T07:50:02.9692352Z Entering 'third_party/cutlass' 2025-09-07T07:50:02.9728116Z http.https://github.com/.extraheader 2025-09-07T07:50:02.9768108Z Entering 'third_party/fbgemm' 2025-09-07T07:50:02.9803411Z http.https://github.com/.extraheader 2025-09-07T07:50:02.9838311Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:50:02.9871846Z http.https://github.com/.extraheader 2025-09-07T07:50:02.9905152Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:50:02.9939478Z http.https://github.com/.extraheader 2025-09-07T07:50:02.9977838Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:50:03.0012739Z http.https://github.com/.extraheader 2025-09-07T07:50:03.0045296Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:50:03.0079555Z http.https://github.com/.extraheader 2025-09-07T07:50:03.0118535Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:50:03.0152883Z http.https://github.com/.extraheader 2025-09-07T07:50:03.0184842Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:50:03.0218797Z http.https://github.com/.extraheader 2025-09-07T07:50:03.0250990Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:50:03.0285240Z http.https://github.com/.extraheader 2025-09-07T07:50:03.0321294Z Entering 'third_party/flash-attention' 2025-09-07T07:50:03.0357654Z http.https://github.com/.extraheader 2025-09-07T07:50:03.0392126Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:50:03.0426597Z http.https://github.com/.extraheader 2025-09-07T07:50:03.0465814Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:50:03.0499475Z http.https://github.com/.extraheader 2025-09-07T07:50:03.0538869Z Entering 'third_party/flatbuffers' 2025-09-07T07:50:03.0574286Z http.https://github.com/.extraheader 2025-09-07T07:50:03.0609479Z Entering 'third_party/fmt' 2025-09-07T07:50:03.0644625Z http.https://github.com/.extraheader 2025-09-07T07:50:03.0677897Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:50:03.0713389Z http.https://github.com/.extraheader 2025-09-07T07:50:03.0746196Z Entering 'third_party/gloo' 2025-09-07T07:50:03.0782041Z http.https://github.com/.extraheader 2025-09-07T07:50:03.0814311Z Entering 'third_party/googletest' 2025-09-07T07:50:03.0849597Z http.https://github.com/.extraheader 2025-09-07T07:50:03.0882974Z Entering 'third_party/ideep' 2025-09-07T07:50:03.0918350Z http.https://github.com/.extraheader 2025-09-07T07:50:03.0950257Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:50:03.0984135Z http.https://github.com/.extraheader 2025-09-07T07:50:03.1022380Z Entering 'third_party/ittapi' 2025-09-07T07:50:03.1057354Z http.https://github.com/.extraheader 2025-09-07T07:50:03.1090649Z Entering 'third_party/kineto' 2025-09-07T07:50:03.1125607Z http.https://github.com/.extraheader 2025-09-07T07:50:03.1158418Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:50:03.1192319Z http.https://github.com/.extraheader 2025-09-07T07:50:03.1226004Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:50:03.1261112Z http.https://github.com/.extraheader 2025-09-07T07:50:03.1295280Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:50:03.1329636Z http.https://github.com/.extraheader 2025-09-07T07:50:03.1361987Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:50:03.1396362Z http.https://github.com/.extraheader 2025-09-07T07:50:03.1429350Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:50:03.1464275Z http.https://github.com/.extraheader 2025-09-07T07:50:03.1496355Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:50:03.1530839Z http.https://github.com/.extraheader 2025-09-07T07:50:03.1566532Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:50:03.1600828Z http.https://github.com/.extraheader 2025-09-07T07:50:03.1632854Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:50:03.1667363Z http.https://github.com/.extraheader 2025-09-07T07:50:03.1700567Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:50:03.1735186Z http.https://github.com/.extraheader 2025-09-07T07:50:03.1769084Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:50:03.1802849Z http.https://github.com/.extraheader 2025-09-07T07:50:03.1836829Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:50:03.1871254Z http.https://github.com/.extraheader 2025-09-07T07:50:03.1903247Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:50:03.1937670Z http.https://github.com/.extraheader 2025-09-07T07:50:03.1972914Z Entering 'third_party/kleidiai' 2025-09-07T07:50:03.2007762Z http.https://github.com/.extraheader 2025-09-07T07:50:03.2040469Z Entering 'third_party/mimalloc' 2025-09-07T07:50:03.2075135Z http.https://github.com/.extraheader 2025-09-07T07:50:03.2108223Z Entering 'third_party/nlohmann' 2025-09-07T07:50:03.2143481Z http.https://github.com/.extraheader 2025-09-07T07:50:03.2177705Z Entering 'third_party/onnx' 2025-09-07T07:50:03.2212853Z http.https://github.com/.extraheader 2025-09-07T07:50:03.2257786Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:50:03.2292769Z http.https://github.com/.extraheader 2025-09-07T07:50:03.2329604Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:50:03.2364748Z http.https://github.com/.extraheader 2025-09-07T07:50:03.2398940Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:50:03.2432951Z http.https://github.com/.extraheader 2025-09-07T07:50:03.2465047Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:50:03.2499835Z http.https://github.com/.extraheader 2025-09-07T07:50:03.2531577Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:50:03.2566258Z http.https://github.com/.extraheader 2025-09-07T07:50:03.2598469Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:50:03.2633103Z http.https://github.com/.extraheader 2025-09-07T07:50:03.2667150Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:50:03.2701298Z http.https://github.com/.extraheader 2025-09-07T07:50:03.2733331Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:50:03.2767234Z http.https://github.com/.extraheader 2025-09-07T07:50:03.2799397Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:50:03.2833827Z http.https://github.com/.extraheader 2025-09-07T07:50:03.2866888Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:50:03.2900060Z http.https://github.com/.extraheader 2025-09-07T07:50:03.2934546Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:50:03.2969593Z http.https://github.com/.extraheader 2025-09-07T07:50:03.3004210Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:50:03.3038731Z http.https://github.com/.extraheader 2025-09-07T07:50:03.3085820Z Entering 'third_party/pocketfft' 2025-09-07T07:50:03.3121363Z http.https://github.com/.extraheader 2025-09-07T07:50:03.3153865Z Entering 'third_party/protobuf' 2025-09-07T07:50:03.3189559Z http.https://github.com/.extraheader 2025-09-07T07:50:03.3224733Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:50:03.3259193Z http.https://github.com/.extraheader 2025-09-07T07:50:03.3291857Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:50:03.3326029Z http.https://github.com/.extraheader 2025-09-07T07:50:03.3362095Z Entering 'third_party/psimd' 2025-09-07T07:50:03.3397261Z http.https://github.com/.extraheader 2025-09-07T07:50:03.3431213Z Entering 'third_party/pthreadpool' 2025-09-07T07:50:03.3466997Z http.https://github.com/.extraheader 2025-09-07T07:50:03.3500102Z Entering 'third_party/pybind11' 2025-09-07T07:50:03.3534828Z http.https://github.com/.extraheader 2025-09-07T07:50:03.3567408Z Entering 'third_party/python-peachpy' 2025-09-07T07:50:03.3601854Z http.https://github.com/.extraheader 2025-09-07T07:50:03.3635091Z Entering 'third_party/sleef' 2025-09-07T07:50:03.3670487Z http.https://github.com/.extraheader 2025-09-07T07:50:03.3703575Z Entering 'third_party/tensorpipe' 2025-09-07T07:50:03.3738976Z http.https://github.com/.extraheader 2025-09-07T07:50:03.3771461Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:50:03.3805646Z http.https://github.com/.extraheader 2025-09-07T07:50:03.3838335Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:50:03.3872859Z http.https://github.com/.extraheader 2025-09-07T07:50:03.3905176Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:50:03.3938890Z http.https://github.com/.extraheader 2025-09-07T07:50:03.3972274Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:50:03.4006417Z http.https://github.com/.extraheader 2025-09-07T07:50:03.4037834Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:50:03.4072116Z http.https://github.com/.extraheader 2025-09-07T07:50:03.4200648Z A job completed hook has been configured by the self-hosted runner administrator 2025-09-07T07:50:03.4216344Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-09-07T07:50:03.4221769Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:50:03.4222093Z ##[endgroup] 2025-09-07T07:50:03.4305891Z [!ALERT!] Swap in detected! [!ALERT!] 2025-09-07T07:50:13.2596499Z [!ALERT!] Swap out detected [!ALERT!] 2025-09-07T07:50:29.8766620Z Cleaning up orphan processes